diff --git a/aiter/aot/flydsl/gemm.py b/aiter/aot/flydsl/gemm.py index a805b72e951..1e56c99e5df 100755 --- a/aiter/aot/flydsl/gemm.py +++ b/aiter/aot/flydsl/gemm.py @@ -118,7 +118,9 @@ from aiter.ops.flydsl.mxfp8_bpreshuffle_gemm_gfx1250 import ( parse_wmma_kernel_name as parse_mxfp8_128_wmma_kernel_name, ) -from aiter.ops.flydsl.mxscale_preshuffle_kernels import MXFP8_ROW_SCALES +from aiter.ops.flydsl.mxscale_preshuffle_kernels import ( + MXFP8_ROW_SCALES_BY_W_SCALE_BLOCK, +) # Keep the default AOT coverage aligned with runtime config resolution. DEFAULT_CSVS = [ @@ -235,8 +237,10 @@ def parse_csv(csv_path: str): jobs = [] seen = set() batched_skipped = set() - # The mxfp8 1x32 table's gfx950 rows name mxpsh kernels that read the - # unshuffled per-1x32 scales; every other table's mxpsh rows are blockscale. + # The mxfp8 table's gfx950 rows, and the e8m0 blockscale table's kernelId + # "mxfp8" rows, name mxpsh / 8-wave kernels that read the raw (unshuffled) + # scales of the row's w_scale_block. No runtime path reads the shuffled-scale + # mxpsh rows any other table may still hold. mxfp8_table = "a8w8_mxfp8_bpreshuffle" in os.path.basename(csv_path) with open(csv_path, newline="") as f: @@ -265,8 +269,15 @@ def parse_csv(csv_path: str): k = int(row["K"]) cu_num = int(row.get("cu_num", "0")) gfx = row.get("gfx", "").strip() - # Its kernels read 1x32 row scales; a row from before the column is one. - if mxfp8_table and (row.get("w_scale_block") or "1x32").strip() != "1x32": + # Their kernels read the row's raw w_scale block: the mxfp8 table is + # 1x32 (a row from before the column is one), the blockscale table's + # "mxfp8" rows 32x32 / 128x128 too. + raw_scales = mxfp8_table or row.get("kernelId", "").strip() == "mxfp8" + mxfp8_block = (row.get("w_scale_block") or "1x32").strip() + if raw_scales and ( + mxfp8_block not in MXFP8_ROW_SCALES_BY_W_SCALE_BLOCK + or (mxfp8_table and mxfp8_block != "1x32") + ): continue if row.get("kernelId", "").strip() == "bmm": # the batched GEMM, B = 1 @@ -287,14 +298,13 @@ def parse_csv(csv_path: str): if kernel_name.startswith("flydsl_bpreshuflle_"): params = _parse_preshuffle_kernel_name(kernel_name) elif kernel_name.startswith("flydsl_mxpsh_"): + if not raw_scales: + continue # a shuffled-scale row: nothing reads it params = parse_mxscale_preshuffle_kernel_name(kernel_name) if params is not None: params = dict(params) params["kind"] = "mxscale_preshuffle" - if mxfp8_table: - params.update(dict(MXFP8_ROW_SCALES)) - else: # the a8w8 blockscale contract - params.update(a_scale_block="1x128", b_scale_block="128x128") + params.update(dict(MXFP8_ROW_SCALES_BY_W_SCALE_BLOCK[mxfp8_block])) elif kernel_name.startswith("flydsl_bpreshuffle_8w_"): params = parse_8wave_kernel_name(kernel_name) if params is not None: @@ -305,6 +315,7 @@ def parse_csv(csv_path: str): if params is not None: params = dict(params) params["kind"] = "mxfp8_8wave" + params["w_scale_block"] = mxfp8_block if raw_scales else "1x32" elif kernel_name.startswith( ( f"{MXFP8_128_WMMA_PREFIX}_", @@ -707,18 +718,20 @@ def _compile_mxscale_preshuffle_to_cache( waves_per_eu: int, xcd_swizzle: int = 0, split_k: int = 1, - a_scale_block: str = "1x128", - b_scale_block: str = "128x128", - a_scale_layout: str = "mfma_tile", - b_scale_layout: str = "mfma_tile", + a_scale_block: str, + b_scale_block: str, + a_scale_layout: str, + b_scale_layout: str, fused_split_k: bool = False, **kwargs, ): """gfx950 MX-microscale preshuffle GEMM (``flydsl_mxpsh_*``). Each operand's scale block and layout are distinct Constexprs and therefore - distinct binaries, so each combination is its own job: the a8w8 blockscale - tables' 1x128 / 128x128 mfma_tile, and gemm_a8w8_mxfp8_bpreshuffle's 1x32 row. + distinct binaries, so each combination is its own job: gemm_a8w8_mxfp8_ + bpreshuffle's 1x32 row scales, and the e8m0 blockscale table's "mxfp8" rows + (32x32 / 128x128 row). The mfma_tile layouts still compile, though no table + row names them. Keep the CSV's logical M so the M<=16 fused split-K specializations are also AOT'd. """ @@ -746,6 +759,9 @@ def _compile_mxscale_preshuffle_to_cache( ("1x128", "mfma_tile"): (rows * 2 * K1,), ("128x128", "mfma_tile"): ((n // 128) * 4 * K1,), ("1x32", "row"): None, # per operand below: (rows, K // 32) + ("32x32", "row"): (n // 32, k // 32), + ("1x128", "row"): (m, k // 128), # its column-major bytes + ("128x128", "row"): (n // 128, k // 128), } scales = [] for block, layout, nrows in ( @@ -827,10 +843,11 @@ def _compile_mxfp8_8wave_to_cache( k: int, waves_per_eu: int, xcd_swizzle: int, + w_scale_block: str = "1x32", **kwargs, ): - """gfx950 8-wave mxfp8 GEMM (``flydsl_mxfp8_8w_*``) on 1x32 row scales, - with the dtypes flydsl_mxfp8_8wave_gemm launches it with.""" + """gfx950 8-wave mxfp8 GEMM (``flydsl_mxfp8_8w_*``) on row scales (a 1x32 + or 32x32 w_scale), with the dtypes flydsl_mxfp8_8wave_gemm launches it with.""" del kwargs import torch @@ -839,14 +856,18 @@ def _compile_mxfp8_8wave_to_cache( a = torch.empty((m * k,), device=dev, dtype=torch.uint8) b = torch.empty((n * k,), device=dev, dtype=torch.uint8) out = torch.empty((m * n,), device=dev, dtype=torch.bfloat16) - scale_a = torch.empty((m * k // 32,), device=dev, dtype=torch.uint8) - scale_b = torch.empty((n * k // 32,), device=dev, dtype=torch.uint8) + w_rows, kb = {"32x32": (n // 32, 32), "128x128": (n // 128, 128)}.get( + w_scale_block, (n, 32) + ) + scale_a = torch.empty((m * k // kb,), device=dev, dtype=torch.uint8) + scale_b = torch.empty((w_rows * k // kb,), device=dev, dtype=torch.uint8) exe = compile_mxfp8_8wave_gemm( K=k, waves_per_eu=waves_per_eu, xcd_swizzle=int(xcd_swizzle), scale_preshuffled=False, + w_scale_block=w_scale_block, ) # The 8-wave launcher takes (A, B, C, ...), as _compile_8wave_to_cache. _compile_executable_to_cache(exe, a, b, out, scale_a, scale_b, m, n, fx.Stream(0)) diff --git a/aiter/configs/a8w8_blockscale_mxscale_bpreshuffle_untuned_gemm.csv b/aiter/configs/a8w8_blockscale_mxscale_bpreshuffle_untuned_gemm.csv index 4248ffd3cda..5bbc0ebd7ce 100644 --- a/aiter/configs/a8w8_blockscale_mxscale_bpreshuffle_untuned_gemm.csv +++ b/aiter/configs/a8w8_blockscale_mxscale_bpreshuffle_untuned_gemm.csv @@ -1 +1 @@ -M,N,K,w_scale_block,kernelId +M,N,K,w_scale_block diff --git a/aiter/configs/model_configs/dsv41_a8w8_blockscale_mxscale_bpreshuffle_tuned_gemm.csv b/aiter/configs/model_configs/dsv41_a8w8_blockscale_mxscale_bpreshuffle_tuned_gemm.csv index 4c2cb3b9386..732db75dd1a 100644 --- a/aiter/configs/model_configs/dsv41_a8w8_blockscale_mxscale_bpreshuffle_tuned_gemm.csv +++ b/aiter/configs/model_configs/dsv41_a8w8_blockscale_mxscale_bpreshuffle_tuned_gemm.csv @@ -1,1225 +1,1225 @@ gfx,cu_num,M,N,K,w_scale_block,libtype,kernelId,splitK,us,kernelName,tflops,bw,errRatio -gfx950,256,1,512,5120,32x32,flydsl,bmm,4,4.387,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_xcd_sps,1.2,599.61,0.0 -gfx950,256,2,512,5120,32x32,flydsl,bmm,4,4.375,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_xcd_sps,2.4,602.66,0.0029 -gfx950,256,4,512,5120,32x32,flydsl,bmm,4,4.414,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_sps,4.75,600.15,0.0005 -gfx950,256,8,512,5120,32x32,flydsl,bmm,4,4.382,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_sps,9.57,610.33,0.0 -gfx950,256,16,512,5120,32x32,flydsl,bmm,4,4.412,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_xcd_sps,19.01,617.64,0.0007 -gfx950,256,32,512,5120,32x32,flydsl,bmm,4,4.827,flydsl_bmm_mxfp8_mfma_t16x16x128_w1x1_nb9_sk4_sps,34.76,585.45,0.0009 -gfx950,256,48,512,5120,32x32,flydsl,bmm,4,5.125,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk4_xcd_sps,49.1,571.04,0.0008 -gfx950,256,64,512,5120,32x32,flydsl,bmm,4,5.306,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk4_sps,63.24,570.59,0.0007 -gfx950,256,80,512,5120,32x32,flydsl,bmm,4,5.394,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4_xcd_sps,77.76,579.94,0.0007 -gfx950,256,96,512,5120,32x32,flydsl,bmm,4,5.537,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4_xcd_sps,90.9,583.18,0.001 -gfx950,256,112,512,5120,32x32,flydsl,bmm,4,5.749,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4_xcd_sps,102.13,579.2,0.0008 -gfx950,256,128,512,5120,32x32,flydsl,bmm,4,5.828,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4_xcd_sps,115.14,588.65,0.0008 -gfx950,256,144,512,5120,32x32,flydsl,bmm,4,6.349,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4,118.92,556.29,0.001 -gfx950,256,160,512,5120,32x32,flydsl,bmm,4,6.405,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4,130.97,567.18,0.0005 -gfx950,256,176,512,5120,32x32,flydsl,bmm,4,6.518,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4,141.57,572.81,0.0008 -gfx950,256,192,512,5120,32x32,flydsl,bmm,4,6.654,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4_xcd,151.27,576.21,0.0008 -gfx950,256,208,512,5120,32x32,flydsl,bmm,4,6.645,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb5_sk4_xcd,164.12,592.23,0.0008 -gfx950,256,224,512,5120,32x32,flydsl,bmm,4,6.716,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb5_sk4,174.86,600.94,0.0009 -gfx950,256,240,512,5120,32x32,flydsl,bmm,4,6.859,flydsl_bmm_mxfp8_mfma_t64x32x128_w4x1_nb5_sk4,183.46,603.17,0.0008 -gfx950,256,256,512,5120,32x32,flydsl,bmm,4,6.914,flydsl_bmm_mxfp8_mfma_t64x32x128_w4x1_nb5_sk4_xcd,194.11,612.89,0.0009 -gfx950,256,288,512,5120,32x32,flydsl,bmm,2,8.204,flydsl_bmm_mxfp8_mfma_t64x32x128_w4x1_nb5_sk2_xcd,184.05,541.15,0.0007 -gfx950,256,320,512,5120,32x32,flydsl,bmm,1,8.075,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd2,207.77,574.78,0.0008 -gfx950,256,352,512,5120,32x32,flydsl,bmm,4,8.03,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x2_nb5_sk4,229.81,603.08,0.0008 -gfx950,256,384,512,5120,32x32,flydsl,bmm,1,8.016,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb4_sk1_bd3,251.16,629.35,0.0008 -gfx950,256,416,512,5120,32x32,flydsl,bmm,1,8.374,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3,260.44,626.49,0.0008 -gfx950,256,448,512,5120,32x32,flydsl,bmm,1,8.009,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3,293.27,680.26,0.0007 -gfx950,256,480,512,5120,32x32,flydsl,bmm,1,8.619,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3,291.97,655.5,0.0008 -gfx950,256,512,512,5120,32x32,flydsl,bmm,2,8.57,flydsl_bmm_mxfp8_mfma_t32x64x256_w2x2_nb4_sk2,313.23,682.8,0.0008 -gfx950,256,544,512,5120,32x32,flydsl,bmm,1,10.237,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb5_sk1_bd3_xcd,278.6,591.3,0.0008 -gfx950,256,576,512,5120,32x32,flydsl,bmm,1,10.102,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb4_sk1_bd2,298.93,619.17,0.0008 -gfx950,256,608,512,5120,32x32,flydsl,bmm,1,10.159,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,313.78,635.57,0.0008 -gfx950,256,640,512,5120,32x32,flydsl,bmm,1,10.021,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2,334.84,664.45,0.0007 -gfx950,256,672,512,5120,32x32,flydsl,bmm,1,10.28,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,342.74,667.38,0.0008 -gfx950,256,704,512,5120,32x32,flydsl,bmm,1,10.202,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2,361.78,692.19,0.0009 -gfx950,256,736,512,5120,32x32,flydsl,bmm,1,10.332,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,373.49,703.06,0.0007 -gfx950,256,768,512,5120,32x32,flydsl,bmm,1,10.338,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2,389.47,722.11,0.0008 -gfx950,256,800,512,5120,32x32,flydsl,bmm,1,10.275,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,408.21,746.2,0.0008 -gfx950,256,832,512,5120,32x32,flydsl,bmm,1,10.378,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb5_sk1_bd2,420.32,758.24,0.0007 -gfx950,256,864,512,5120,32x32,flydsl,bmm,1,10.513,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb4_sk1_bd2_xcd,430.87,767.66,0.0007 -gfx950,256,896,512,5120,32x32,flydsl,bmm,1,10.272,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb4_sk1_bd2,457.32,805.33,0.0008 -gfx950,256,928,512,5120,32x32,flydsl,bmm,1,10.542,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb5_sk1_bd3_xcd,461.53,803.84,0.0008 -gfx950,256,960,512,5120,32x32,flydsl,bmm,1,10.461,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb5_sk1_bd3,481.15,829.38,0.0007 -gfx950,256,992,512,5120,32x32,flydsl,bmm,1,10.548,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb5_sk1_bd3_xcd,493.07,841.63,0.0008 -gfx950,256,1024,512,5120,32x32,flydsl,bmm,1,10.48,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb5_sk1_bd3,512.3,866.38,0.0008 -gfx950,256,1088,512,5120,32x32,flydsl,bmm,1,11.731,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x2_nb4_sk1_bd3,486.24,808.33,0.0008 -gfx950,256,1152,512,5120,32x32,flydsl,bmm,1,12.657,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x2_nb4_sk1_bd3,477.17,781.06,0.0007 -gfx950,256,1216,512,5120,32x32,flydsl,bmm,1,13.247,flydsl_bmm_mxfp8_mfma_t48x64x512_w1x2_nb4_sk1_bd3,481.26,776.74,0.0008 -gfx950,256,1280,512,5120,32x32,flydsl,bmm,1,13.271,flydsl_bmm_mxfp8_mfma_t48x64x512_w1x2_nb4_sk1_bd3_xcd,505.68,805.74,0.0008 -gfx950,256,1344,512,5120,32x32,flydsl,bmm,1,13.192,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb4_sk1_bd3_xcd,534.13,841.14,0.0008 -gfx950,256,1408,512,5120,32x32,flydsl,bmm,1,12.526,flydsl_bmm_mxfp8_mfma_t48x64x512_w1x4_nb4_sk1_bd3_xcd,589.34,918.11,0.0009 -gfx950,256,1472,512,5120,32x32,flydsl,bmm,1,12.826,flydsl_bmm_mxfp8_mfma_t48x64x512_w1x4_nb4_sk1_bd3_xcd,601.71,928.08,0.0008 -gfx950,256,1536,512,5120,32x32,flydsl,bmm,1,12.446,flydsl_bmm_mxfp8_mfma_t48x64x512_w1x4_nb4_sk1_bd3,647.03,988.82,0.0008 -gfx950,256,1600,512,5120,32x32,flydsl,bmm,1,14.786,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb6_sk1_bd2_xcd,567.34,859.63,0.0008 -gfx950,256,1664,512,5120,32x32,flydsl,bmm,1,14.386,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb6_sk1_bd3_xcd,606.44,911.58,0.0009 -gfx950,256,1728,512,5120,32x32,flydsl,bmm,1,14.78,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb6_sk1_bd3_xcd,612.96,914.56,0.0008 -gfx950,256,1792,512,5120,32x32,flydsl,bmm,1,13.834,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2,679.13,1006.26,0.0009 -gfx950,256,1856,512,5120,32x32,flydsl,bmm,1,13.974,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb6_sk1_bd2_xcd,696.33,1025.03,0.0008 -gfx950,256,1920,512,5120,32x32,flydsl,bmm,1,13.955,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2_xcd,721.33,1055.36,0.0008 -gfx950,256,1984,512,5120,32x32,flydsl,bmm,1,13.95,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,745.66,1084.68,0.0008 -gfx950,256,2048,512,5120,32x32,flydsl,bmm,1,14.01,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2,766.41,1108.83,0.0008 -gfx950,256,4096,512,5120,32x32,flydsl,bmm,1,19.679,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2,1091.25,1445.45,0.0008 -gfx950,256,6144,512,5120,32x32,flydsl,bmm,1,26.304,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2,1224.6,1572.2,0.0008 -gfx950,256,8192,512,5120,32x32,flydsl,bmm,1,32.666,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1314.81,1661.25,0.0008 -gfx950,256,10240,512,5120,32x32,flydsl,bmm,1,42.163,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2,1273.31,1593.26,0.0008 -gfx950,256,12288,512,5120,32x32,flydsl,bmm,1,46.641,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd2,1381.27,1717.09,0.0008 -gfx950,256,14336,512,5120,32x32,flydsl,bmm,1,49.446,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1520.09,1880.81,0.0008 -gfx950,256,16384,512,5120,32x32,flydsl,bmm,1,51.614,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2,1664.27,2051.95,0.0008 -gfx950,256,32768,512,5120,32x32,flydsl,bmm,1,93.183,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd,1843.68,2244.99,0.0008 -gfx950,256,1,1152,5120,32x32,flydsl,bmm,4,4.438,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk4_nt_xcd_sps,2.66,1332.09,0.0 -gfx950,256,2,1152,5120,32x32,flydsl,bmm,4,4.424,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb10_sk4_nt_xcd_sps,5.33,1338.06,0.0 -gfx950,256,4,1152,5120,32x32,flydsl,bmm,4,4.437,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk4_nt_xcd_sps,10.63,1337.47,0.0002 -gfx950,256,8,1152,5120,32x32,flydsl,bmm,4,4.503,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk4_nt_sps,20.96,1324.58,0.0003 -gfx950,256,16,1152,5120,32x32,flydsl,bmm,5,4.76,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb7_sk5_nt_xcd,39.65,1265.86,0.0007 -gfx950,256,32,1152,5120,32x32,flydsl,bmm,5,5.116,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb5_sk5_nt_xcd,73.79,1201.51,0.001 -gfx950,256,48,1152,5120,32x32,flydsl,bmm,5,5.786,flydsl_bmm_mxfp8_mfma_t64x32x128_w4x1_nb5_sk5_nt_xcd,97.87,1083.36,0.0007 -gfx950,256,64,1152,5120,32x32,flydsl,bmm,5,5.958,flydsl_bmm_mxfp8_mfma_t64x32x128_w4x1_nb5_sk5_nt,126.71,1072.36,0.001 -gfx950,256,80,1152,5120,32x32,flydsl,bmm,2,6.803,flydsl_bmm_mxfp8_mfma_t32x32x512_w2x2_nb4_sk2_sps,138.71,956.97,0.0007 -gfx950,256,96,1152,5120,32x32,flydsl,bmm,2,7.09,flydsl_bmm_mxfp8_mfma_t32x32x512_w2x2_nb4_sk2_xcd_sps,159.74,935.47,0.0008 -gfx950,256,112,1152,5120,32x32,flydsl,bmm,1,7.842,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3,168.48,861.2,0.001 -gfx950,256,128,1152,5120,32x32,flydsl,bmm,5,7.989,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk5,189.0,860.53,0.0008 -gfx950,256,144,1152,5120,32x32,flydsl,bmm,4,8.604,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk4,197.42,813.08,0.0009 -gfx950,256,160,1152,5120,32x32,flydsl,bmm,4,8.57,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb4_sk4,220.23,830.49,0.0008 -gfx950,256,176,1152,5120,32x32,flydsl,bmm,2,8.535,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb4_sk2,243.26,848.16,0.0009 -gfx950,256,192,1152,5120,32x32,flydsl,bmm,2,8.912,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb4_sk2,254.14,825.85,0.0008 -gfx950,256,208,1152,5120,32x32,flydsl,bmm,1,9.091,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd2_xcd,269.89,822.92,0.0007 -gfx950,256,224,1152,5120,32x32,flydsl,bmm,1,9.279,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd2_xcd,284.76,819.31,0.0008 -gfx950,256,240,1152,5120,32x32,flydsl,bmm,1,9.827,flydsl_bmm_mxfp8_mfma_t48x32x512_w1x2_nb5_sk1_bd2_xcd,288.09,785.99,0.0007 -gfx950,256,256,1152,5120,32x32,flydsl,bmm,1,9.82,flydsl_bmm_mxfp8_mfma_t48x32x512_w1x2_nb5_sk1_bd2,307.52,798.93,0.0008 -gfx950,256,288,1152,5120,32x32,flydsl,bmm,1,9.639,flydsl_bmm_mxfp8_mfma_t48x32x256_w1x2_nb5_sk1_bd2,352.48,839.15,0.0009 -gfx950,256,320,1152,5120,32x32,flydsl,bmm,1,9.791,flydsl_bmm_mxfp8_mfma_t48x32x256_w1x2_nb5_sk1_bd2_xcd,385.55,850.87,0.0009 -gfx950,256,352,1152,5120,32x32,flydsl,bmm,2,10.999,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2_xcd,377.5,779.45,0.0008 -gfx950,256,384,1152,5120,32x32,flydsl,bmm,2,11.189,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x4_nb4_sk2_xcd,404.85,787.95,0.0007 -gfx950,256,416,1152,5120,32x32,flydsl,bmm,1,11.417,flydsl_bmm_mxfp8_mfma_t32x64x256_w2x2_nb4_sk1_xcd,429.82,793.45,0.0008 -gfx950,256,448,1152,5120,32x32,flydsl,bmm,1,11.215,flydsl_bmm_mxfp8_mfma_t32x64x256_w2x2_nb4_sk1,471.25,829.43,0.0008 -gfx950,256,480,1152,5120,32x32,flydsl,bmm,1,13.157,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2,430.36,725.42,0.0008 -gfx950,256,512,1152,5120,32x32,flydsl,bmm,1,13.111,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,460.65,746.44,0.0008 -gfx950,256,544,1152,5120,32x32,flydsl,bmm,1,12.962,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,495.07,773.76,0.0009 -gfx950,256,576,1152,5120,32x32,flydsl,bmm,1,12.932,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2,525.43,794.34,0.0008 -gfx950,256,608,1152,5120,32x32,flydsl,bmm,1,12.953,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,553.71,811.78,0.0007 -gfx950,256,640,1152,5120,32x32,flydsl,bmm,1,12.956,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_xcd,582.73,830.34,0.0008 -gfx950,256,672,1152,5120,32x32,flydsl,bmm,1,13.186,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_xcd,601.2,834.27,0.0008 -gfx950,256,704,1152,5120,32x32,flydsl,bmm,1,14.757,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,562.76,761.88,0.0008 -gfx950,256,736,1152,5120,32x32,flydsl,bmm,1,13.689,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2,634.24,839.05,0.0008 -gfx950,256,768,1152,5120,32x32,flydsl,bmm,1,14.437,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1,627.55,812.41,0.0008 -gfx950,256,800,1152,5120,32x32,flydsl,bmm,1,14.272,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2_xcd,661.23,838.78,0.0008 -gfx950,256,832,1152,5120,32x32,flydsl,bmm,1,14.88,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2_xcd,659.57,820.81,0.0008 -gfx950,256,864,1152,5120,32x32,flydsl,bmm,1,13.951,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,730.55,892.86,0.0008 -gfx950,256,896,1152,5120,32x32,flydsl,bmm,1,14.698,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2_xcd,719.13,864.02,0.0008 -gfx950,256,928,1152,5120,32x32,flydsl,bmm,1,16.535,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb3_sk1_bd2_xcd,662.05,782.69,0.0008 -gfx950,256,960,1152,5120,32x32,flydsl,bmm,1,16.987,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb3_sk1_bd2_xcd,666.66,776.15,0.0008 -gfx950,256,992,1152,5120,32x32,flydsl,bmm,1,16.06,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb4_sk1_bd2_xcd,728.67,836.09,0.0008 -gfx950,256,1024,1152,5120,32x32,flydsl,bmm,1,16.489,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb3_sk1_bd2_xcd,732.58,829.03,0.0008 -gfx950,256,1088,1152,5120,32x32,flydsl,bmm,1,17.199,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb3_sk1_bd2_xcd,746.23,823.03,0.0008 -gfx950,256,1152,1152,5120,32x32,flydsl,bmm,1,17.415,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb4_sk1_bd2_xcd,780.34,840.7,0.0008 -gfx950,256,1216,1152,5120,32x32,flydsl,bmm,1,17.395,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb4_sk1_bd2_xcd,824.64,869.58,0.0008 -gfx950,256,1280,1152,5120,32x32,flydsl,bmm,1,17.507,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb5_sk1_bd2_xcd,862.49,891.73,0.0008 -gfx950,256,1344,1152,5120,32x32,flydsl,bmm,1,17.786,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb5_sk1_bd2,891.41,905.04,0.0008 -gfx950,256,1408,1152,5120,32x32,flydsl,bmm,1,19.759,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2_xcd,840.61,839.24,0.0008 -gfx950,256,1472,1152,5120,32x32,flydsl,bmm,1,19.931,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2_xcd,871.24,856.35,0.0008 -gfx950,256,1536,1152,5120,32x32,flydsl,bmm,1,19.563,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2_xcd,926.23,897.28,0.0008 -gfx950,256,1600,1152,5120,32x32,flydsl,bmm,1,20.228,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb3_sk1_bd2_xcd,933.09,891.77,0.0008 -gfx950,256,1664,1152,5120,32x32,flydsl,bmm,1,20.008,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2_xcd,981.08,925.83,0.0008 -gfx950,256,1728,1152,5120,32x32,flydsl,bmm,1,20.193,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2_xcd,1009.47,941.37,0.0008 -gfx950,256,1792,1152,5120,32x32,flydsl,bmm,1,20.172,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2,1047.96,966.43,0.0008 -gfx950,256,1856,1152,5120,32x32,flydsl,bmm,1,24.092,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb4_sk1_bd2,908.77,829.31,0.0008 -gfx950,256,1920,1152,5120,32x32,flydsl,bmm,1,24.384,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2,928.88,839.31,0.0008 -gfx950,256,1984,1152,5120,32x32,flydsl,bmm,1,24.426,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2_xcd,958.17,857.72,0.0008 -gfx950,256,2048,1152,5120,32x32,flydsl,bmm,1,24.588,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb4_sk1_bd2_xcd,982.57,871.81,0.0008 -gfx950,256,4096,1152,5120,32x32,flydsl,bmm,1,39.861,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb3_sk1_bd2_xcd,1212.16,927.42,0.0008 -gfx950,256,6144,1152,5120,32x32,flydsl,bmm,1,51.076,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2,1419.02,1027.89,0.0008 -gfx950,256,8192,1152,5120,32x32,flydsl,bmm,1,75.073,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb3_sk1_bd2,1287.24,906.22,0.0008 -gfx950,256,10240,1152,5120,32x32,flydsl,bmm,1,77.19,flydsl_bmm_mxfp8_mfma_t256x192x128_w1x4_nb3_sk1_bd2,1564.93,1082.58,0.0008 -gfx950,256,12288,1152,5120,32x32,flydsl,bmm,1,91.91,flydsl_bmm_mxfp8_mfma_t256x128x128_w1x2_nb2_sk1_bd1_sps,1577.15,1078.19,0.0008 -gfx950,256,14336,1152,5120,32x32,flydsl,bmm,1,100.505,flydsl_bmm_mxfp8_mfma_t256x128x128_w1x2_nb2_sk1_bd1_xcd_sps,1682.65,1140.53,0.0008 -gfx950,256,16384,1152,5120,32x32,flydsl,bmm,1,124.304,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb3_sk1_bd2_xcd,1554.85,1047.11,0.0008 -gfx950,256,32768,1152,5120,32x32,flydsl,bmm,1,213.115,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb3_sk1_bd1_xcd,1813.79,1193.8,0.0008 -gfx950,256,1,1536,5120,32x32,flydsl,bmm,4,4.799,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk4_nt_xcd_sps,3.28,1641.92,0.0 -gfx950,256,2,1536,5120,32x32,flydsl,bmm,4,4.774,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk4_nt_xcd_sps,6.59,1652.28,0.0003 -gfx950,256,4,1536,5120,32x32,flydsl,bmm,4,4.844,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk4_nt_sps,12.99,1632.13,0.0008 -gfx950,256,8,1536,5120,32x32,flydsl,bmm,4,4.881,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb10_sk4_nt_sps,25.78,1626.56,0.0007 -gfx950,256,16,1536,5120,32x32,flydsl,bmm,5,5.093,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb7_sk5_nt,49.41,1571.74,0.0006 -gfx950,256,32,1536,5120,32x32,flydsl,bmm,5,5.437,flydsl_bmm_mxfp8_mfma_t32x32x128_w2x2_nb6_sk5_nt,92.57,1496.9,0.001 -gfx950,256,48,1536,5120,32x32,flydsl,bmm,5,6.104,flydsl_bmm_mxfp8_mfma_t64x32x128_w2x2_nb6_sk5_nt_xcd,123.69,1355.34,0.0007 -gfx950,256,64,1536,5120,32x32,flydsl,bmm,5,6.311,flydsl_bmm_mxfp8_mfma_t64x32x128_w2x2_nb6_sk5_nt_xcd,159.5,1332.01,0.0008 -gfx950,256,80,1536,5120,32x32,flydsl,bmm,5,7.122,flydsl_bmm_mxfp8_mfma_t96x32x128_w2x2_nb6_sk5_nt_xcd,176.68,1199.13,0.0009 -gfx950,256,96,1536,5120,32x32,flydsl,bmm,5,7.402,flydsl_bmm_mxfp8_mfma_t96x32x128_w2x2_nb5_sk5_nt_xcd,204.0,1171.89,0.0008 -gfx950,256,112,1536,5120,32x32,flydsl,bmm,5,8.12,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x4_nb4_sk5,216.94,1084.62,0.0008 -gfx950,256,128,1536,5120,32x32,flydsl,bmm,5,8.26,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk5,243.74,1082.47,0.0008 -gfx950,256,144,1536,5120,32x32,flydsl,bmm,2,10.324,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2_xcd,219.38,878.97,0.0009 -gfx950,256,160,1536,5120,32x32,flydsl,bmm,2,10.288,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2_xcd,244.61,895.03,0.0007 -gfx950,256,176,1536,5120,32x32,flydsl,bmm,2,10.559,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2_xcd,262.17,884.73,0.0007 -gfx950,256,192,1536,5120,32x32,flydsl,bmm,2,10.823,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2,279.02,875.49,0.0008 -gfx950,256,208,1536,5120,32x32,flydsl,bmm,2,10.401,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2,314.55,923.9,0.0007 -gfx950,256,224,1536,5120,32x32,flydsl,bmm,2,10.463,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2_xcd,336.74,931.2,0.0009 -gfx950,256,240,1536,5120,32x32,flydsl,bmm,2,10.812,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2_xcd,349.14,913.47,0.0008 -gfx950,256,256,1536,5120,32x32,flydsl,bmm,2,10.993,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2,366.28,910.58,0.0008 -gfx950,256,288,1536,5120,32x32,flydsl,bmm,1,11.107,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb4_sk1,407.85,925.33,0.0008 -gfx950,256,320,1536,5120,32x32,flydsl,bmm,1,11.343,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb4_sk1_xcd,443.73,929.62,0.0008 -gfx950,256,352,1536,5120,32x32,flydsl,bmm,1,14.008,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1,395.24,771.84,0.0008 -gfx950,256,384,1536,5120,32x32,flydsl,bmm,1,14.609,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x2_nb4_sk1,413.42,758.37,0.0008 -gfx950,256,416,1536,5120,32x32,flydsl,bmm,1,13.785,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,474.65,823.09,0.0008 -gfx950,256,448,1536,5120,32x32,flydsl,bmm,1,14.788,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb3_sk1_xcd,476.49,785.33,0.0009 -gfx950,256,480,1536,5120,32x32,flydsl,bmm,1,14.306,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb3_sk1,527.72,830.46,0.0008 -gfx950,256,512,1536,5120,32x32,flydsl,bmm,1,14.831,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb3_sk1,542.98,819.1,0.0008 -gfx950,256,544,1536,5120,32x32,flydsl,bmm,1,14.548,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb3_sk1_xcd,588.16,853.43,0.0008 -gfx950,256,576,1536,5120,32x32,flydsl,bmm,1,14.986,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb3_sk1_xcd,604.53,846.28,0.0008 -gfx950,256,608,1536,5120,32x32,flydsl,bmm,1,14.221,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,672.44,910.6,0.0008 -gfx950,256,640,1536,5120,32x32,flydsl,bmm,1,14.621,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,688.48,903.99,0.0008 -gfx950,256,672,1536,5120,32x32,flydsl,bmm,1,16.447,flydsl_bmm_mxfp8_mfma_t32x128x256_w1x4_nb4_sk1_bd2_xcd,642.65,819.88,0.0009 -gfx950,256,704,1536,5120,32x32,flydsl,bmm,1,17.481,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb4_sk1_bd2_xcd,633.44,786.69,0.0008 -gfx950,256,736,1536,5120,32x32,flydsl,bmm,1,16.861,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb5_sk1_bd2,686.58,831.46,0.0008 -gfx950,256,768,1536,5120,32x32,flydsl,bmm,1,17.33,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2,697.02,824.35,0.0008 -gfx950,256,800,1536,5120,32x32,flydsl,bmm,1,17.324,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,726.33,840.08,0.0008 -gfx950,256,832,1536,5120,32x32,flydsl,bmm,1,16.757,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb7_sk1_bd2_xcd,780.93,884.45,0.0008 -gfx950,256,864,1536,5120,32x32,flydsl,bmm,1,17.714,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,767.18,851.78,0.0009 -gfx950,256,896,1536,5120,32x32,flydsl,bmm,1,17.447,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,807.73,880.1,0.0008 -gfx950,256,928,1536,5120,32x32,flydsl,bmm,1,16.953,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2,860.98,921.53,0.0008 -gfx950,256,960,1536,5120,32x32,flydsl,bmm,1,17.734,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2,851.44,896.01,0.0008 -gfx950,256,992,1536,5120,32x32,flydsl,bmm,1,17.519,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,890.62,922.26,0.0008 -gfx950,256,1024,1536,5120,32x32,flydsl,bmm,1,19.279,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2,835.42,851.93,0.0008 -gfx950,256,1088,1536,5120,32x32,flydsl,bmm,1,20.163,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2_xcd,848.7,841.07,0.0008 -gfx950,256,1152,1536,5120,32x32,flydsl,bmm,1,20.084,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2_xcd,902.18,871.02,0.0008 -gfx950,256,1216,1536,5120,32x32,flydsl,bmm,1,20.199,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb3_sk1_bd2_xcd,946.89,892.54,0.0008 -gfx950,256,1280,1536,5120,32x32,flydsl,bmm,1,20.032,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2_xcd,1005.01,926.63,0.0008 -gfx950,256,1344,1536,5120,32x32,flydsl,bmm,1,20.203,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2_xcd,1046.32,945.24,0.0008 -gfx950,256,1408,1536,5120,32x32,flydsl,bmm,1,24.21,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb4_sk1_bd2_xcd,914.73,810.88,0.0008 -gfx950,256,1472,1536,5120,32x32,flydsl,bmm,1,24.035,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb4_sk1_bd2,963.28,839.03,0.0008 -gfx950,256,1536,1536,5120,32x32,flydsl,bmm,1,24.43,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2_xcd,988.91,847.34,0.0008 -gfx950,256,1600,1536,5120,32x32,flydsl,bmm,1,24.668,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2_xcd,1020.2,860.85,0.0008 -gfx950,256,1664,1536,5120,32x32,flydsl,bmm,1,24.526,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb4_sk1_bd2_xcd,1067.15,887.63,0.0008 -gfx950,256,1728,1536,5120,32x32,flydsl,bmm,1,25.452,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2_xcd,1067.87,876.34,0.0008 -gfx950,256,1792,1536,5120,32x32,flydsl,bmm,1,24.801,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2_xcd,1136.48,920.89,0.0008 -gfx950,256,1856,1536,5120,32x32,flydsl,bmm,1,25.684,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2,1136.62,910.05,0.0008 -gfx950,256,1920,1536,5120,32x32,flydsl,bmm,1,25.576,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2_xcd,1180.74,934.76,0.0008 -gfx950,256,1984,1536,5120,32x32,flydsl,bmm,1,25.84,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2_xcd,1207.65,945.91,0.0008 -gfx950,256,2048,1536,5120,32x32,flydsl,bmm,1,29.328,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1098.36,851.65,0.0008 -gfx950,256,4096,1536,5120,32x32,flydsl,bmm,1,44.528,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb4_sk1_bd3,1446.83,945.06,0.0008 -gfx950,256,6144,1536,5120,32x32,flydsl,bmm,1,60.212,flydsl_bmm_mxfp8_mfma_t192x192x128_w1x4_nb4_sk1_bd3,1604.94,982.97,0.0008 -gfx950,256,8192,1536,5120,32x32,flydsl,bmm,1,82.23,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,1566.93,927.78,0.0008 -gfx950,256,10240,1536,5120,32x32,flydsl,bmm,1,90.568,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1,1778.34,1031.23,0.0008 -gfx950,256,12288,1536,5120,32x32,flydsl,bmm,1,116.547,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb3_sk1_bd2,1658.33,948.13,0.0008 -gfx950,256,14336,1536,5120,32x32,flydsl,bmm,1,130.331,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb3_sk1_bd1,1730.1,979.1,0.0008 -gfx950,256,16384,1536,5120,32x32,flydsl,bmm,1,135.08,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb2_sk1_bd1,1907.74,1071.3,0.0008 -gfx950,256,32768,1536,5120,32x32,flydsl,bmm,1,249.439,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,2066.22,1128.74,0.0008 -gfx950,256,1,1792,5120,32x32,flydsl,bmm,1,5.214,flydsl_bmm_mxfp8_mfma_t16x16x512_w1x1_nb8_sk1_bd3_nt_sps,3.52,1762.99,0.0022 -gfx950,256,2,1792,5120,32x32,flydsl,bmm,4,5.286,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk4_nt_sps,6.94,1740.67,0.0011 -gfx950,256,4,1792,5120,32x32,flydsl,bmm,1,5.361,flydsl_bmm_mxfp8_mfma_t16x16x512_w1x1_nb7_sk1_bd3_nt_sps,13.69,1719.83,0.0006 -gfx950,256,8,1792,5120,32x32,flydsl,bmm,4,5.439,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb5_sk4_nt_sps,26.99,1701.57,0.0008 -gfx950,256,16,1792,5120,32x32,flydsl,bmm,4,5.639,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb5_sk4_nt_xcd_sps,52.07,1653.8,0.0008 -gfx950,256,32,1792,5120,32x32,flydsl,bmm,4,6.279,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4_nt_xcd,93.51,1507.71,0.0008 -gfx950,256,48,1792,5120,32x32,flydsl,bmm,4,7.005,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4_nt_xcd,125.75,1371.9,0.0009 -gfx950,256,64,1792,5120,32x32,flydsl,bmm,4,7.377,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4_nt_xcd,159.2,1321.87,0.0008 -gfx950,256,80,1792,5120,32x32,flydsl,bmm,4,8.134,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk4_nt_xcd,180.47,1216.24,0.0008 -gfx950,256,96,1792,5120,32x32,flydsl,bmm,4,8.25,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk4_nt,213.53,1216.38,0.0006 -gfx950,256,112,1792,5120,32x32,flydsl,bmm,2,8.603,flydsl_bmm_mxfp8_mfma_t64x32x512_w4x1_nb3_sk2_xcd_sps,238.89,1182.92,0.0007 -gfx950,256,128,1792,5120,32x32,flydsl,bmm,2,8.65,flydsl_bmm_mxfp8_mfma_t64x32x512_w4x1_nb3_sk2_xcd_sps,271.54,1192.91,0.0008 -gfx950,256,144,1792,5120,32x32,flydsl,bmm,1,10.577,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb4_sk1,249.82,988.96,0.0007 -gfx950,256,160,1792,5120,32x32,flydsl,bmm,2,10.603,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb4_sk2,276.92,999.97,0.0008 -gfx950,256,176,1792,5120,32x32,flydsl,bmm,2,10.526,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2,306.83,1020.75,0.0008 -gfx950,256,192,1792,5120,32x32,flydsl,bmm,2,10.774,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2,327.02,1010.43,0.0008 -gfx950,256,208,1792,5120,32x32,flydsl,bmm,1,10.671,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb4_sk1,357.69,1033.45,0.0007 -gfx950,256,224,1792,5120,32x32,flydsl,bmm,1,10.706,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb5_sk1,383.92,1043.25,0.0008 -gfx950,256,240,1792,5120,32x32,flydsl,bmm,1,10.883,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb4_sk1,404.65,1039.32,0.0008 -gfx950,256,256,1792,5120,32x32,flydsl,bmm,1,11.316,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb5_sk1,415.13,1012.12,0.0008 -gfx950,256,288,1792,5120,32x32,flydsl,bmm,1,14.454,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,365.64,812.04,0.0009 -gfx950,256,320,1792,5120,32x32,flydsl,bmm,1,13.433,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,437.13,894.84,0.0008 -gfx950,256,352,1792,5120,32x32,flydsl,bmm,1,14.118,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb6_sk1_bd2,457.53,871.55,0.0008 -gfx950,256,384,1792,5120,32x32,flydsl,bmm,1,14.836,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2,474.96,848.47,0.0008 -gfx950,256,416,1792,5120,32x32,flydsl,bmm,1,14.681,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_xcd,519.98,876.76,0.0008 -gfx950,256,448,1792,5120,32x32,flydsl,bmm,1,14.606,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,562.83,900.65,0.0008 -gfx950,256,480,1792,5120,32x32,flydsl,bmm,1,14.537,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1,605.91,924.46,0.0008 -gfx950,256,512,1792,5120,32x32,flydsl,bmm,1,14.796,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1,634.98,927.43,0.0008 -gfx950,256,544,1792,5120,32x32,flydsl,bmm,1,14.739,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,677.28,950.26,0.0008 -gfx950,256,576,1792,5120,32x32,flydsl,bmm,1,15.419,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,685.49,926.75,0.0008 -gfx950,256,608,1792,5120,32x32,flydsl,bmm,1,18.275,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb5_sk1_bd2,610.49,797.44,0.0008 -gfx950,256,640,1792,5120,32x32,flydsl,bmm,1,17.207,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2,682.53,863.44,0.0008 -gfx950,256,672,1792,5120,32x32,flydsl,bmm,1,17.906,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,688.67,845.56,0.0009 -gfx950,256,704,1792,5120,32x32,flydsl,bmm,1,17.584,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb7_sk1_bd2_xcd,734.68,877.18,0.0008 -gfx950,256,736,1792,5120,32x32,flydsl,bmm,1,17.009,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb7_sk1_bd2,794.02,923.49,0.0008 -gfx950,256,768,1792,5120,32x32,flydsl,bmm,1,17.811,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb8_sk1_bd2,791.26,897.87,0.0008 -gfx950,256,800,1792,5120,32x32,flydsl,bmm,1,17.576,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb8_sk1_bd2_xcd,835.25,926.0,0.0008 -gfx950,256,832,1792,5120,32x32,flydsl,bmm,1,17.288,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb7_sk1_bd2_xcd,883.14,957.85,0.0008 -gfx950,256,864,1792,5120,32x32,flydsl,bmm,1,18.287,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,866.96,920.99,0.0008 -gfx950,256,896,1792,5120,32x32,flydsl,bmm,1,19.889,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2_xcd,826.68,861.1,0.0008 -gfx950,256,928,1792,5120,32x32,flydsl,bmm,1,19.166,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2_xcd,888.51,908.38,0.0008 -gfx950,256,960,1792,5120,32x32,flydsl,bmm,1,20.24,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2_xcd,870.38,874.2,0.0008 -gfx950,256,992,1792,5120,32x32,flydsl,bmm,1,19.375,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2,939.54,927.87,0.0008 -gfx950,256,1024,1792,5120,32x32,flydsl,bmm,1,19.921,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2,943.25,916.66,0.0008 -gfx950,256,1088,1792,5120,32x32,flydsl,bmm,1,20.898,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2_xcd,955.35,900.95,0.0008 -gfx950,256,1152,1792,5120,32x32,flydsl,bmm,1,20.567,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2_xcd,1027.81,943.02,0.0008 -gfx950,256,1216,1792,5120,32x32,flydsl,bmm,1,24.157,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb5_sk1_bd2_xcd,923.69,826.36,0.0008 -gfx950,256,1280,1792,5120,32x32,flydsl,bmm,1,24.16,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb4_sk1_bd2_xcd,972.19,849.75,0.0008 -gfx950,256,1344,1792,5120,32x32,flydsl,bmm,1,24.71,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2_xcd,998.08,853.79,0.0008 -gfx950,256,1408,1792,5120,32x32,flydsl,bmm,1,24.673,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2_xcd,1047.18,878.07,0.0008 -gfx950,256,1472,1792,5120,32x32,flydsl,bmm,1,24.772,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb4_sk1_bd2_xcd,1090.4,897.46,0.0008 -gfx950,256,1536,1792,5120,32x32,flydsl,bmm,1,25.363,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,1111.28,898.91,0.0008 -gfx950,256,1600,1792,5120,32x32,flydsl,bmm,1,25.725,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd3_xcd,1141.32,908.32,0.0008 -gfx950,256,1664,1792,5120,32x32,flydsl,bmm,1,25.45,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,1199.79,940.42,0.0008 -gfx950,256,1728,1792,5120,32x32,flydsl,bmm,1,26.122,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2_xcd,1213.9,937.96,0.0008 -gfx950,256,1792,1792,5120,32x32,flydsl,bmm,1,30.091,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1092.81,833.1,0.0008 -gfx950,256,1856,1792,5120,32x32,flydsl,bmm,1,29.868,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1140.29,858.31,0.0008 -gfx950,256,1920,1792,5120,32x32,flydsl,bmm,1,30.305,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1162.59,864.64,0.0008 -gfx950,256,1984,1792,5120,32x32,flydsl,bmm,1,30.64,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1188.19,873.69,0.0008 -gfx950,256,2048,1792,5120,32x32,flydsl,bmm,1,30.493,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1232.44,896.51,0.0008 -gfx950,256,4096,1792,5120,32x32,flydsl,bmm,1,49.161,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1528.88,925.34,0.0008 -gfx950,256,6144,1792,5120,32x32,flydsl,bmm,1,68.768,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1639.46,925.49,0.0008 -gfx950,256,8192,1792,5120,32x32,flydsl,bmm,1,88.787,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1693.09,921.28,0.0008 -gfx950,256,10240,1792,5120,32x32,flydsl,bmm,1,126.433,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb2_sk1_bd1_xcd,1486.2,790.55,0.0008 -gfx950,256,12288,1792,5120,32x32,flydsl,bmm,1,130.658,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb2_sk1_bd1_xcd,1725.77,903.92,0.0008 -gfx950,256,14336,1792,5120,32x32,flydsl,bmm,1,148.149,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1775.69,919.74,0.0008 -gfx950,256,16384,1792,5120,32x32,flydsl,bmm,1,158.885,flydsl_bmm_mxfp8_mfma_t128x224x128_w1x2_nb2_sk1_bd1_sps,1892.23,971.85,0.0008 -gfx950,256,32768,1792,5120,32x32,flydsl,bmm,1,301.047,flydsl_bmm_mxfp8_mfma_t128x224x128_w1x2_nb2_sk1_bd1_xcd_sps,1997.34,995.32,0.0008 -gfx950,256,1,2304,5120,32x32,flydsl,bmm,1,5.443,flydsl_bmm_mxfp8_mfma_t16x16x512_w1x1_nb7_sk1_bd3_xcd_sps,4.33,2171.15,0.0009 -gfx950,256,2,2304,5120,32x32,flydsl,bmm,1,5.481,flydsl_bmm_mxfp8_mfma_t16x16x512_w1x1_nb7_sk1_bd3_sps,8.61,2157.93,0.0011 -gfx950,256,4,2304,5120,32x32,flydsl,bmm,1,5.524,flydsl_bmm_mxfp8_mfma_t16x16x512_w1x1_nb8_sk1_bd3_sps,17.09,2144.91,0.0012 -gfx950,256,8,2304,5120,32x32,flydsl,bmm,1,5.637,flydsl_bmm_mxfp8_mfma_t16x16x512_w1x1_nb8_sk1_bd4_sps,33.49,2108.94,0.0009 -gfx950,256,16,2304,5120,32x32,flydsl,bmm,1,5.999,flydsl_bmm_mxfp8_mfma_t16x16x512_w1x1_nb9_sk1_bd4_sps,62.93,1994.86,0.0006 -gfx950,256,32,2304,5120,32x32,flydsl,bmm,5,6.616,flydsl_bmm_mxfp8_mfma_t32x64x128_w1x4_nb7_sk5_xcd,114.11,1832.51,0.0009 -gfx950,256,48,2304,5120,32x32,flydsl,bmm,1,7.55,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb6_sk1_bd2,150.0,1626.85,0.0008 -gfx950,256,64,2304,5120,32x32,flydsl,bmm,5,7.963,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x2_nb5_sk5_xcd,189.61,1562.27,0.0007 -gfx950,256,80,2304,5120,32x32,flydsl,bmm,1,8.556,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb4_sk1_bd2_sps,220.6,1472.53,0.0008 -gfx950,256,96,2304,5120,32x32,flydsl,bmm,1,8.92,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb4_sk1_bd2_xcd,253.92,1430.19,0.0008 -gfx950,256,112,2304,5120,32x32,flydsl,bmm,1,10.334,flydsl_bmm_mxfp8_mfma_t48x32x512_w1x2_nb4_sk1_bd2_xcd,255.7,1249.8,0.0008 -gfx950,256,128,2304,5120,32x32,flydsl,bmm,1,10.175,flydsl_bmm_mxfp8_mfma_t48x32x512_w1x2_nb4_sk1_bd2,296.8,1284.91,0.0008 -gfx950,256,144,2304,5120,32x32,flydsl,bmm,1,10.365,flydsl_bmm_mxfp8_mfma_t48x32x512_w1x2_nb5_sk1_bd2,327.79,1276.64,0.0008 -gfx950,256,160,2304,5120,32x32,flydsl,bmm,1,10.401,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb4_sk1,362.93,1287.37,0.0008 -gfx950,256,176,2304,5120,32x32,flydsl,bmm,1,10.746,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb5_sk1,386.43,1260.83,0.0008 -gfx950,256,192,2304,5120,32x32,flydsl,bmm,2,11.337,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2_xcd,399.56,1209.01,0.0008 -gfx950,256,208,2304,5120,32x32,flydsl,bmm,1,13.943,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb4_sk1_bd2,351.95,994.37,0.0007 -gfx950,256,224,2304,5120,32x32,flydsl,bmm,1,13.968,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2,378.37,1003.97,0.0008 -gfx950,256,240,2304,5120,32x32,flydsl,bmm,1,14.208,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2,398.53,998.11,0.0008 -gfx950,256,256,2304,5120,32x32,flydsl,bmm,1,14.061,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2,429.53,1019.77,0.0009 -gfx950,256,288,2304,5120,32x32,flydsl,bmm,1,13.967,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1,486.5,1049.35,0.0008 -gfx950,256,320,2304,5120,32x32,flydsl,bmm,1,14.399,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,524.32,1039.8,0.0008 -gfx950,256,352,2304,5120,32x32,flydsl,bmm,1,14.24,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1,583.21,1073.67,0.0008 -gfx950,256,384,2304,5120,32x32,flydsl,bmm,1,14.64,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1,618.85,1065.94,0.0008 -gfx950,256,416,2304,5120,32x32,flydsl,bmm,1,15.288,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,641.98,1041.43,0.0008 -gfx950,256,448,2304,5120,32x32,flydsl,bmm,1,16.002,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,660.5,1014.71,0.0008 -gfx950,256,480,2304,5120,32x32,flydsl,bmm,1,19.164,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2,590.93,863.82,0.0008 -gfx950,256,512,2304,5120,32x32,flydsl,bmm,1,19.689,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb4_sk1_bd2,613.53,856.86,0.0008 -gfx950,256,544,2304,5120,32x32,flydsl,bmm,1,18.335,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb4_sk1_bd2,700.02,937.41,0.0008 -gfx950,256,576,2304,5120,32x32,flydsl,bmm,1,18.849,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb5_sk1_bd2,720.97,928.62,0.0008 -gfx950,256,608,2304,5120,32x32,flydsl,bmm,1,18.941,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb5_sk1_bd2_xcd,757.33,940.81,0.0008 -gfx950,256,640,2304,5120,32x32,flydsl,bmm,1,18.337,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,823.45,989.06,0.0008 -gfx950,256,672,2304,5120,32x32,flydsl,bmm,1,19.016,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb7_sk1_bd2_xcd,833.75,970.39,0.0008 -gfx950,256,704,2304,5120,32x32,flydsl,bmm,1,20.666,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2_xcd,803.69,908.19,0.0008 -gfx950,256,736,2304,5120,32x32,flydsl,bmm,1,19.88,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb6_sk1_bd2_xcd,873.44,960.02,0.0008 -gfx950,256,768,2304,5120,32x32,flydsl,bmm,1,20.696,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb6_sk1_bd2_xcd,875.51,937.49,0.0008 -gfx950,256,800,2304,5120,32x32,flydsl,bmm,1,19.795,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb6_sk1_bd2_xcd,953.48,996.12,0.0008 -gfx950,256,832,2304,5120,32x32,flydsl,bmm,1,20.828,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb5_sk1_bd2_xcd,942.44,961.91,0.0008 -gfx950,256,864,2304,5120,32x32,flydsl,bmm,1,20.089,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb6_sk1_bd2_xcd,1014.7,1013.06,0.0008 -gfx950,256,896,2304,5120,32x32,flydsl,bmm,1,20.893,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb7_sk1_bd2_xcd,1011.77,989.2,0.0008 -gfx950,256,928,2304,5120,32x32,flydsl,bmm,1,24.895,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2_xcd,879.46,842.9,0.0008 -gfx950,256,960,2304,5120,32x32,flydsl,bmm,1,25.337,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb3_sk1_bd2_xcd,893.91,840.68,0.0008 -gfx950,256,992,2304,5120,32x32,flydsl,bmm,1,24.44,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb4_sk1_bd2_xcd,957.64,884.5,0.0008 -gfx950,256,1024,2304,5120,32x32,flydsl,bmm,1,24.946,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb4_sk1_bd2_xcd,968.46,879.24,0.0008 -gfx950,256,1088,2304,5120,32x32,flydsl,bmm,1,25.008,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,1026.42,902.34,0.0008 -gfx950,256,1152,2304,5120,32x32,flydsl,bmm,1,25.719,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2,1056.78,902.02,0.0008 -gfx950,256,1216,2304,5120,32x32,flydsl,bmm,1,25.822,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,1111.03,922.93,0.0008 -gfx950,256,1280,2304,5120,32x32,flydsl,bmm,1,26.057,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd3_xcd,1158.95,938.88,0.0008 -gfx950,256,1344,2304,5120,32x32,flydsl,bmm,1,26.586,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,1192.71,944.02,0.0008 -gfx950,256,1408,2304,5120,32x32,flydsl,bmm,1,30.573,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1086.54,841.6,0.0008 -gfx950,256,1472,2304,5120,32x32,flydsl,bmm,1,30.134,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1152.49,874.87,0.0008 -gfx950,256,1536,2304,5120,32x32,flydsl,bmm,1,30.833,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,1175.32,875.55,0.0008 -gfx950,256,1600,2304,5120,32x32,flydsl,bmm,1,31.932,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1182.16,865.24,0.0008 -gfx950,256,1664,2304,5120,32x32,flydsl,bmm,1,31.371,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1251.42,900.88,0.0008 -gfx950,256,1728,2304,5120,32x32,flydsl,bmm,1,32.29,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1262.59,894.85,0.0008 -gfx950,256,1792,2304,5120,32x32,flydsl,bmm,1,33.076,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1278.22,892.71,0.0008 -gfx950,256,1856,2304,5120,32x32,flydsl,bmm,1,37.792,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb3_sk1_bd2_xcd,1158.66,798.05,0.0008 -gfx950,256,1920,2304,5120,32x32,flydsl,bmm,1,35.325,flydsl_bmm_mxfp8_mfma_t96x192x128_w1x4_nb3_sk1_bd2_xcd,1282.34,871.71,0.0008 -gfx950,256,1984,2304,5120,32x32,flydsl,bmm,1,34.201,flydsl_bmm_mxfp8_mfma_t96x192x128_w1x4_nb4_sk1_bd2_xcd,1368.63,918.86,0.0008 -gfx950,256,2048,2304,5120,32x32,flydsl,bmm,1,38.654,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,1250.04,829.38,0.0008 -gfx950,256,4096,2304,5120,32x32,flydsl,bmm,1,73.708,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,1311.08,709.68,0.0008 -gfx950,256,6144,2304,5120,32x32,flydsl,bmm,1,82.876,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1,1749.06,875.52,0.0008 -gfx950,256,8192,2304,5120,32x32,flydsl,bmm,1,116.176,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb3_sk1_bd2,1663.63,798.88,0.0008 -gfx950,256,10240,2304,5120,32x32,flydsl,bmm,1,134.624,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,1794.57,839.83,0.0008 -gfx950,256,12288,2304,5120,32x32,flydsl,bmm,1,158.283,flydsl_bmm_mxfp8_mfma_t192x192x128_w1x4_nb4_sk1_bd3,1831.59,842.24,0.0008 -gfx950,256,14336,2304,5120,32x32,flydsl,bmm,1,170.657,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1,1981.92,899.83,0.0008 -gfx950,256,16384,2304,5120,32x32,flydsl,bmm,1,208.767,flydsl_bmm_mxfp8_mfma_t256x192x128_w1x4_nb2_sk1_bd1,1851.58,832.57,0.0008 -gfx950,256,32768,2304,5120,32x32,flydsl,bmm,1,380.091,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,2033.97,883.52,0.0008 -gfx950,256,1,4096,1280,32x32,flydsl,bmm,1,3.774,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk1_nt_sps,2.78,1393.24,0.0005 -gfx950,256,2,4096,1280,32x32,flydsl,bmm,1,3.757,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk1_nt_sps,5.58,1401.92,0.0001 -gfx950,256,4,4096,1280,32x32,flydsl,bmm,1,3.794,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk1_nt_sps,11.06,1393.35,0.0008 -gfx950,256,8,4096,1280,32x32,flydsl,bmm,1,3.831,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk1_nt_sps,21.9,1389.87,0.0007 -gfx950,256,16,4096,1280,32x32,flydsl,bmm,1,3.986,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk1_nt_sps,42.09,1354.8,0.0007 -gfx950,256,32,4096,1280,32x32,flydsl,bmm,1,4.343,flydsl_bmm_mxfp8_mfma_t32x32x256_w1x2_nb6_sk1_bd3_nt_sps,77.27,1278.57,0.0006 -gfx950,256,48,4096,1280,32x32,flydsl,bmm,1,4.489,flydsl_bmm_mxfp8_mfma_t32x32x128_w1x2_nb8_sk1_xcd_sps,112.11,1270.69,0.0007 -gfx950,256,64,4096,1280,32x32,flydsl,bmm,1,4.708,flydsl_bmm_mxfp8_mfma_t32x32x128_w2x2_nb6_sk1_xcd_sps,142.55,1244.08,0.0007 -gfx950,256,80,4096,1280,32x32,flydsl,bmm,1,5.016,flydsl_bmm_mxfp8_mfma_t64x32x128_w2x2_nb6_sk1_xcd_sps,167.23,1197.93,0.0007 -gfx950,256,96,4096,1280,32x32,flydsl,bmm,1,5.057,flydsl_bmm_mxfp8_mfma_t64x32x128_w2x2_nb6_sk1_xcd_sps,199.06,1218.38,0.0007 -gfx950,256,112,4096,1280,32x32,flydsl,bmm,1,5.288,flydsl_bmm_mxfp8_mfma_t64x32x128_w2x2_nb6_sk1_xcd_sps,222.09,1193.92,0.0007 -gfx950,256,128,4096,1280,32x32,flydsl,bmm,1,5.506,flydsl_bmm_mxfp8_mfma_t64x32x128_w2x2_nb6_sk1_xcd,243.77,1174.3,0.0007 -gfx950,256,144,4096,1280,32x32,flydsl,bmm,1,5.893,flydsl_bmm_mxfp8_mfma_t96x32x128_w2x2_nb6_sk1_xcd,256.22,1122.94,0.0006 -gfx950,256,160,4096,1280,32x32,flydsl,bmm,1,6.075,flydsl_bmm_mxfp8_mfma_t96x32x128_w2x2_nb6_sk1_xcd,276.17,1114.38,0.0007 -gfx950,256,176,4096,1280,32x32,flydsl,bmm,1,6.258,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_sps,294.89,1106.08,0.0007 -gfx950,256,192,4096,1280,32x32,flydsl,bmm,1,6.269,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb6_sk1_bd2_sps,321.13,1128.41,0.0007 -gfx950,256,208,4096,1280,32x32,flydsl,bmm,1,6.443,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb6_sk1_bd2_sps,338.5,1121.56,0.0006 -gfx950,256,224,4096,1280,32x32,flydsl,bmm,1,6.477,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1_bd2_sps,362.66,1139.28,0.0007 -gfx950,256,240,4096,1280,32x32,flydsl,bmm,1,6.654,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1_bd2_sps,378.19,1131.74,0.0007 -gfx950,256,256,4096,1280,32x32,flydsl,bmm,1,6.739,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1_bd2_sps,398.33,1140.08,0.0007 -gfx950,256,288,4096,1280,32x32,flydsl,bmm,1,7.654,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb5_sk1_bd2_sps,394.53,1043.51,0.0007 -gfx950,256,320,4096,1280,32x32,flydsl,bmm,1,7.509,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb5_sk1_bd2_sps,446.85,1104.23,0.0007 -gfx950,256,352,4096,1280,32x32,flydsl,bmm,1,7.594,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb5_sk1_bd3,486.05,1132.0,0.0007 -gfx950,256,384,4096,1280,32x32,flydsl,bmm,1,7.714,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb5_sk1_bd3,521.96,1153.8,0.0007 -gfx950,256,416,4096,1280,32x32,flydsl,bmm,1,8.403,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,519.1,1095.43,0.0007 -gfx950,256,448,4096,1280,32x32,flydsl,bmm,1,8.455,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk1,555.6,1124.7,0.0007 -gfx950,256,480,4096,1280,32x32,flydsl,bmm,1,8.684,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,579.57,1130.05,0.0007 -gfx950,256,512,4096,1280,32x32,flydsl,bmm,1,8.829,flydsl_bmm_mxfp8_mfma_t128x64x128_w1x4_nb5_sk1_bd3,608.04,1145.95,0.0007 -gfx950,256,544,4096,1280,32x32,flydsl,bmm,1,9.556,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2,596.94,1090.7,0.0007 -gfx950,256,576,4096,1280,32x32,flydsl,bmm,1,9.653,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,625.67,1111.21,0.0007 -gfx950,256,608,4096,1280,32x32,flydsl,bmm,1,10.061,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,633.69,1096.48,0.0007 -gfx950,256,640,4096,1280,32x32,flydsl,bmm,1,10.161,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,660.47,1115.63,0.0007 -gfx950,256,672,4096,1280,32x32,flydsl,bmm,1,10.221,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,689.38,1138.79,0.0006 -gfx950,256,704,4096,1280,32x32,flydsl,bmm,1,10.698,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,690.01,1116.47,0.0007 -gfx950,256,736,4096,1280,32x32,flydsl,bmm,1,10.682,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,722.51,1146.72,0.0007 -gfx950,256,768,4096,1280,32x32,flydsl,bmm,1,10.729,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,750.57,1170.01,0.0007 -gfx950,256,800,4096,1280,32x32,flydsl,bmm,1,11.102,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,755.57,1158.1,0.0007 -gfx950,256,832,4096,1280,32x32,flydsl,bmm,1,11.029,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,791.01,1193.38,0.0007 -gfx950,256,864,4096,1280,32x32,flydsl,bmm,1,11.139,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,813.35,1208.97,0.0007 -gfx950,256,896,4096,1280,32x32,flydsl,bmm,1,11.226,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,836.91,1226.67,0.0007 -gfx950,256,928,4096,1280,32x32,flydsl,bmm,1,11.699,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb3_sk1_bd1_sps,831.77,1203.12,0.0007 -gfx950,256,960,4096,1280,32x32,flydsl,bmm,1,11.964,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb3_sk1_bd1_sps,841.41,1201.94,0.0007 -gfx950,256,992,4096,1280,32x32,flydsl,bmm,1,11.805,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,881.13,1243.86,0.0007 -gfx950,256,1024,4096,1280,32x32,flydsl,bmm,1,11.833,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,907.39,1266.62,0.0007 -gfx950,256,1088,4096,1280,32x32,flydsl,bmm,1,14.58,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd2,782.48,1069.76,0.0007 -gfx950,256,1152,4096,1280,32x32,flydsl,bmm,1,14.66,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2,824.01,1105.48,0.0007 -gfx950,256,1216,4096,1280,32x32,flydsl,bmm,1,14.656,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2_xcd,870.01,1147.3,0.0007 -gfx950,256,1280,4096,1280,32x32,flydsl,bmm,1,14.774,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2_xcd,908.49,1179.34,0.0007 -gfx950,256,1344,4096,1280,32x32,flydsl,bmm,1,14.576,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd2,966.85,1237.1,0.0007 -gfx950,256,1408,4096,1280,32x32,flydsl,bmm,1,14.734,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd2_xcd,1002.05,1265.18,0.0007 -gfx950,256,1472,4096,1280,32x32,flydsl,bmm,1,14.624,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd2,1055.46,1316.31,0.0007 -gfx950,256,1536,4096,1280,32x32,flydsl,bmm,1,14.869,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd2,1083.19,1335.55,0.0007 -gfx950,256,1600,4096,1280,32x32,flydsl,bmm,1,16.346,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1026.39,1252.14,0.0007 -gfx950,256,1664,4096,1280,32x32,flydsl,bmm,1,16.706,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1044.45,1261.6,0.0007 -gfx950,256,1728,4096,1280,32x32,flydsl,bmm,1,16.725,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1083.39,1296.56,0.0007 -gfx950,256,1792,4096,1280,32x32,flydsl,bmm,1,17.015,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1104.35,1310.23,0.0007 -gfx950,256,1856,4096,1280,32x32,flydsl,bmm,1,17.065,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_sps,1140.41,1342.03,0.0007 -gfx950,256,1920,4096,1280,32x32,flydsl,bmm,1,17.026,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1182.49,1380.92,0.0007 -gfx950,256,1984,4096,1280,32x32,flydsl,bmm,1,17.379,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1197.08,1387.89,0.0007 -gfx950,256,2048,4096,1280,32x32,flydsl,bmm,1,17.441,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1231.27,1417.83,0.0007 -gfx950,256,4096,4096,1280,32x32,flydsl,bmm,1,31.671,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1356.13,1395.89,0.0007 -gfx950,256,6144,4096,1280,32x32,flydsl,bmm,1,48.277,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1334.49,1319.27,0.0007 -gfx950,256,8192,4096,1280,32x32,flydsl,bmm,1,58.559,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1466.89,1420.29,0.0007 -gfx950,256,10240,4096,1280,32x32,flydsl,bmm,1,77.892,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1378.49,1317.85,0.0007 -gfx950,256,12288,4096,1280,32x32,flydsl,bmm,1,83.577,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1541.69,1461.31,0.0007 -gfx950,256,14336,4096,1280,32x32,flydsl,bmm,1,99.972,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1503.66,1416.52,0.0007 -gfx950,256,16384,4096,1280,32x32,flydsl,bmm,1,107.649,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1595.92,1496.47,0.0007 -gfx950,256,32768,4096,1280,32x32,flydsl,bmm,1,205.602,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1671.18,1541.51,0.0007 -gfx950,256,1,4608,5120,32x32,flydsl,bmm,1,6.468,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb4_sk1_sps,7.3,3653.55,0.0011 -gfx950,256,2,4608,5120,32x32,flydsl,bmm,1,6.53,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb4_sk1_nt_sps,14.45,3621.13,0.0002 -gfx950,256,4,4608,5120,32x32,flydsl,bmm,1,6.576,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb8_sk1_bd3_nt,28.7,3600.17,0.001 -gfx950,256,8,4608,5120,32x32,flydsl,bmm,1,6.738,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb9_sk1_bd2_nt,56.02,3522.13,0.0009 -gfx950,256,16,4608,5120,32x32,flydsl,bmm,1,6.97,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb10_sk1_bd2_nt,108.31,3421.4,0.0007 -gfx950,256,32,4608,5120,32x32,flydsl,bmm,1,8.341,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb8_sk1_bd2,181.04,2887.1,0.0008 -gfx950,256,48,4608,5120,32x32,flydsl,bmm,5,10.49,flydsl_bmm_mxfp8_mfma_t64x128x128_w2x4_nb4_sk5_nt,215.92,2317.68,0.0009 -gfx950,256,64,4608,5120,32x32,flydsl,bmm,5,10.645,flydsl_bmm_mxfp8_mfma_t64x128x128_w2x4_nb4_sk5_nt,283.69,2305.67,0.0008 -gfx950,256,80,4608,5120,32x32,flydsl,bmm,1,12.477,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb4_sk1_bd2_xcd,302.54,1985.67,0.0008 -gfx950,256,96,4608,5120,32x32,flydsl,bmm,1,12.856,flydsl_bmm_mxfp8_mfma_t48x64x512_w1x4_nb4_sk1_bd2_xcd,352.36,1945.26,0.0008 -gfx950,256,112,4608,5120,32x32,flydsl,bmm,1,13.731,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,384.88,1838.12,0.0009 -gfx950,256,128,4608,5120,32x32,flydsl,bmm,1,13.262,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,455.43,1920.66,0.0008 -gfx950,256,144,4608,5120,32x32,flydsl,bmm,1,14.267,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb4_sk1_bd2_xcd,476.25,1801.56,0.0008 -gfx950,256,160,4608,5120,32x32,flydsl,bmm,1,14.383,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2,524.92,1803.23,0.0009 -gfx950,256,176,4608,5120,32x32,flydsl,bmm,1,14.673,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,566.0,1783.41,0.0008 -gfx950,256,192,4608,5120,32x32,flydsl,bmm,1,15.477,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,585.36,1705.68,0.0008 -gfx950,256,208,4608,5120,32x32,flydsl,bmm,1,18.505,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb3_sk1_bd2_xcd,530.38,1439.13,0.0008 -gfx950,256,224,4608,5120,32x32,flydsl,bmm,1,18.283,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb3_sk1_bd2,578.1,1469.27,0.0008 -gfx950,256,240,4608,5120,32x32,flydsl,bmm,1,18.508,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb3_sk1_bd2_xcd,611.89,1463.99,0.0008 -gfx950,256,256,4608,5120,32x32,flydsl,bmm,1,18.627,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb4_sk1_bd2_xcd,648.5,1467.06,0.0007 -gfx950,256,288,4608,5120,32x32,flydsl,bmm,1,19.741,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb3_sk1_bd2_xcd,688.41,1407.81,0.0008 -gfx950,256,320,4608,5120,32x32,flydsl,bmm,2,22.164,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk2_xcd,681.25,1274.78,0.0008 -gfx950,256,352,4608,5120,32x32,flydsl,bmm,1,21.825,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1_xcd,761.04,1315.87,0.0008 -gfx950,256,384,4608,5120,32x32,flydsl,bmm,1,22.369,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1_xcd,810.03,1304.6,0.0008 -gfx950,256,416,4608,5120,32x32,flydsl,bmm,1,27.315,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,718.63,1085.35,0.0009 -gfx950,256,448,4608,5120,32x32,flydsl,bmm,1,27.591,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,766.15,1091.29,0.0008 -gfx950,256,480,4608,5120,32x32,flydsl,bmm,1,27.966,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,809.89,1093.26,0.0008 -gfx950,256,512,4608,5120,32x32,flydsl,bmm,1,28.77,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,839.73,1078.83,0.0008 -gfx950,256,544,4608,5120,32x32,flydsl,bmm,1,29.789,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,861.7,1057.5,0.0008 -gfx950,256,576,4608,5120,32x32,flydsl,bmm,1,30.37,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,894.92,1052.53,0.0008 -gfx950,256,608,4608,5120,32x32,flydsl,bmm,1,30.474,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,941.43,1064.17,0.0008 -gfx950,256,640,4608,5120,32x32,flydsl,bmm,1,31.178,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,968.59,1055.01,0.0008 -gfx950,256,672,4608,5120,32x32,flydsl,bmm,1,31.319,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1012.46,1065.09,0.0008 -gfx950,256,704,4608,5120,32x32,flydsl,bmm,1,31.013,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1071.13,1090.55,0.0008 -gfx950,256,736,4608,5120,32x32,flydsl,bmm,1,31.41,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1105.66,1091.53,0.0008 -gfx950,256,768,4608,5120,32x32,flydsl,bmm,1,32.45,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1116.76,1070.84,0.0008 -gfx950,256,800,4608,5120,32x32,flydsl,bmm,1,34.275,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1101.34,1027.35,0.0008 -gfx950,256,832,4608,5120,32x32,flydsl,bmm,1,34.924,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1124.13,1021.56,0.0008 -gfx950,256,864,4608,5120,32x32,flydsl,bmm,1,35.64,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1_xcd,1143.89,1014.03,0.0008 -gfx950,256,896,4608,5120,32x32,flydsl,bmm,1,34.567,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1223.1,1058.95,0.0008 -gfx950,256,928,4608,5120,32x32,flydsl,bmm,1,40.36,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb4_sk1_bd3,1084.95,918.44,0.0008 -gfx950,256,960,4608,5120,32x32,flydsl,bmm,1,39.635,flydsl_bmm_mxfp8_mfma_t96x192x128_w1x4_nb4_sk1_bd3,1142.91,946.96,0.0008 -gfx950,256,992,4608,5120,32x32,flydsl,bmm,1,42.103,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb4_sk1_bd3,1111.77,902.46,0.0008 -gfx950,256,1024,4608,5120,32x32,flydsl,bmm,1,41.628,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb4_sk1_bd3_xcd,1160.73,923.9,0.0008 -gfx950,256,1088,4608,5120,32x32,flydsl,bmm,1,43.28,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb4_sk1_bd2_xcd,1186.2,910.07,0.0008 -gfx950,256,1152,4608,5120,32x32,flydsl,bmm,1,43.656,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb4_sk1_bd3_xcd,1245.16,923.48,0.0008 -gfx950,256,1216,4608,5120,32x32,flydsl,bmm,1,44.878,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb4_sk1_bd3_xcd,1278.54,919.01,0.0008 -gfx950,256,1280,4608,5120,32x32,flydsl,bmm,1,45.936,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb3_sk1_bd2_xcd,1314.82,918.03,0.0008 -gfx950,256,1344,4608,5120,32x32,flydsl,bmm,1,49.956,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1269.48,862.74,0.0008 -gfx950,256,1408,4608,5120,32x32,flydsl,bmm,1,50.633,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2_xcd,1312.15,869.53,0.0008 -gfx950,256,1472,4608,5120,32x32,flydsl,bmm,1,51.49,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1348.96,873.07,0.0008 -gfx950,256,1536,4608,5120,32x32,flydsl,bmm,1,52.271,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1386.57,877.77,0.0008 -gfx950,256,1600,4608,5120,32x32,flydsl,bmm,1,54.587,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd_sps,1383.06,857.52,0.0008 -gfx950,256,1664,4608,5120,32x32,flydsl,bmm,1,55.205,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1422.28,864.72,0.0008 -gfx950,256,1728,4608,5120,32x32,flydsl,bmm,1,55.63,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1465.7,874.8,0.0008 -gfx950,256,1792,4608,5120,32x32,flydsl,bmm,1,56.519,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2,1496.08,877.45,0.0008 -gfx950,256,1856,4608,5120,32x32,flydsl,bmm,1,65.635,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2,1334.31,769.72,0.0008 -gfx950,256,1920,4608,5120,32x32,flydsl,bmm,1,64.017,flydsl_bmm_mxfp8_mfma_t192x192x128_w1x4_nb4_sk1_bd2,1415.19,803.66,0.0008 -gfx950,256,1984,4608,5120,32x32,flydsl,bmm,1,67.602,flydsl_bmm_mxfp8_mfma_t96x192x128_w1x4_nb4_sk1_bd2,1384.83,774.77,0.0008 -gfx950,256,2048,4608,5120,32x32,flydsl,bmm,1,76.771,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb3_sk1_bd2,1258.76,694.32,0.0008 -gfx950,256,4096,4608,5120,32x32,flydsl,bmm,1,118.882,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb3_sk1_bd1,1625.76,698.1,0.0008 -gfx950,256,6144,4608,5120,32x32,flydsl,bmm,1,165.621,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb2_sk1_bd1,1750.44,680.34,0.0008 -gfx950,256,8192,4608,5120,32x32,flydsl,bmm,1,203.773,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x4_nb2_sk1_bd1,1896.95,698.65,0.0008 -gfx950,256,10240,4608,5120,32x32,flydsl,bmm,1,249.713,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1934.96,689.01,0.0008 -gfx950,256,12288,4608,5120,32x32,flydsl,bmm,1,299.925,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,1933.22,672.64,0.0008 -gfx950,256,14336,4608,5120,32x32,flydsl,bmm,1,334.542,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,2022.04,691.78,0.0008 -gfx950,256,16384,4608,5120,32x32,flydsl,bmm,1,393.861,flydsl_bmm_mxfp8_mfma_t128x192x128_w1x2_nb2_sk1_bd1,1962.86,662.97,0.0008 -gfx950,256,32768,4608,5120,32x32,flydsl,bmm,1,751.043,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,2058.72,663.9,0.0008 -gfx950,256,1,5120,576,32x32,flydsl,bmm,1,3.018,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk1_nt_sps,1.95,981.64,0.0008 -gfx950,256,2,5120,576,32x32,flydsl,bmm,1,3.019,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk1_nt_sps,3.91,984.91,0.0006 -gfx950,256,4,5120,576,32x32,flydsl,bmm,1,2.961,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk1_nt_sps,7.97,1011.43,0.0007 -gfx950,256,8,5120,576,32x32,flydsl,bmm,1,2.984,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk1_nt_sps,15.81,1018.44,0.0008 -gfx950,256,16,5120,576,32x32,flydsl,bmm,1,3.083,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x1_nb6_sk1_nt_xcd_sps,30.61,1013.58,0.0007 -gfx950,256,32,5120,576,32x32,flydsl,bmm,1,3.375,flydsl_bmm_mxfp8_mfma_t16x64x128_w1x2_nb6_sk1_xcd_sps,55.92,977.29,0.0007 -gfx950,256,48,5120,576,32x32,flydsl,bmm,1,3.581,flydsl_bmm_mxfp8_mfma_t32x16x128_w1x1_nb5_sk1_bd2_xcd_sps,79.05,969.5,0.0005 -gfx950,256,64,5120,576,32x32,flydsl,bmm,1,3.641,flydsl_bmm_mxfp8_mfma_t32x16x128_w1x1_nb5_sk1_xcd_sps,103.69,1001.3,0.0005 -gfx950,256,80,5120,576,32x32,flydsl,bmm,1,3.9,flydsl_bmm_mxfp8_mfma_t32x64x128_w2x2_nb5_sk1_xcd_sps,120.98,979.05,0.0006 -gfx950,256,96,5120,576,32x32,flydsl,bmm,1,3.953,flydsl_bmm_mxfp8_mfma_t32x64x128_w2x2_nb5_sk1_xcd_sps,143.24,1009.85,0.0005 -gfx950,256,112,5120,576,32x32,flydsl,bmm,1,4.401,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb4_sk1_xcd_sps,150.12,946.55,0.0006 -gfx950,256,128,5120,576,32x32,flydsl,bmm,1,4.478,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb4_sk1_bd2_xcd,168.59,968.86,0.0006 -gfx950,256,144,5120,576,32x32,flydsl,bmm,1,4.415,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_sps,192.39,1022.04,0.0005 -gfx950,256,160,5120,576,32x32,flydsl,bmm,1,4.541,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb4_sk1_sps,207.82,1031.78,0.0006 -gfx950,256,176,5120,576,32x32,flydsl,bmm,1,4.62,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb4_sk1_xcd_sps,224.68,1051.63,0.0006 -gfx950,256,192,5120,576,32x32,flydsl,bmm,1,4.741,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb4_sk1_xcd_sps,238.85,1061.34,0.0005 -gfx950,256,208,5120,576,32x32,flydsl,bmm,1,5.147,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb4_sk1_bd2_xcd_sps,238.34,1011.28,0.0006 -gfx950,256,224,5120,576,32x32,flydsl,bmm,1,5.1,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb4_sk1_bd2_sps,259.07,1054.7,0.0006 -gfx950,256,240,5120,576,32x32,flydsl,bmm,1,5.063,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb4_sk1_bd2,279.61,1096.69,0.0006 -gfx950,256,256,5120,576,32x32,flydsl,bmm,1,4.994,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb5_sk1_bd2,302.32,1146.37,0.0006 -gfx950,256,288,5120,576,32x32,flydsl,bmm,1,5.193,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb5_sk1_bd2,327.12,1169.34,0.0005 -gfx950,256,320,5120,576,32x32,flydsl,bmm,1,5.713,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk1_bd1,330.4,1123.65,0.0006 -gfx950,256,352,5120,576,32x32,flydsl,bmm,1,5.97,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk1_bd1,347.76,1133.23,0.0006 -gfx950,256,384,5120,576,32x32,flydsl,bmm,1,6.031,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd1,375.56,1179.32,0.0006 -gfx950,256,416,5120,576,32x32,flydsl,bmm,1,6.333,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1,387.42,1177.73,0.0006 -gfx950,256,448,5120,576,32x32,flydsl,bmm,1,6.491,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1,407.09,1202.52,0.0006 -gfx950,256,480,5120,576,32x32,flydsl,bmm,1,6.711,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1,421.88,1214.81,0.0006 -gfx950,256,512,5120,576,32x32,flydsl,bmm,1,6.609,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1,456.92,1285.92,0.0005 -gfx950,256,544,5120,576,32x32,flydsl,bmm,1,6.84,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1,469.08,1293.18,0.0006 -gfx950,256,576,5120,576,32x32,flydsl,bmm,1,7.003,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1,485.15,1312.69,0.0006 -gfx950,256,608,5120,576,32x32,flydsl,bmm,1,7.597,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1,472.08,1255.72,0.0006 -gfx950,256,640,5120,576,32x32,flydsl,bmm,1,7.893,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1,478.28,1252.52,0.0006 -gfx950,256,672,5120,576,32x32,flydsl,bmm,1,7.674,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1,516.48,1333.34,0.0006 -gfx950,256,704,5120,576,32x32,flydsl,bmm,1,7.768,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1,534.56,1361.92,0.0006 -gfx950,256,736,5120,576,32x32,flydsl,bmm,1,7.911,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1,548.76,1381.13,0.0006 -gfx950,256,768,5120,576,32x32,flydsl,bmm,1,8.193,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd1,552.92,1375.93,0.0006 -gfx950,256,800,5120,576,32x32,flydsl,bmm,1,9.209,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb3_sk1_bd1,512.39,1261.73,0.0006 -gfx950,256,832,5120,576,32x32,flydsl,bmm,1,9.239,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,531.18,1295.2,0.0006 -gfx950,256,864,5120,576,32x32,flydsl,bmm,1,9.238,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,551.65,1332.84,0.0006 -gfx950,256,896,5120,576,32x32,flydsl,bmm,1,9.161,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,576.87,1381.83,0.0006 -gfx950,256,928,5120,576,32x32,flydsl,bmm,1,9.273,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,590.27,1402.57,0.0006 -gfx950,256,960,5120,576,32x32,flydsl,bmm,1,9.457,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,598.72,1411.88,0.0006 -gfx950,256,992,5120,576,32x32,flydsl,bmm,1,9.502,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,615.79,1441.78,0.0006 -gfx950,256,1024,5120,576,32x32,flydsl,bmm,1,9.565,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,631.42,1468.41,0.0006 -gfx950,256,1088,5120,576,32x32,flydsl,bmm,1,9.605,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,668.1,1534.51,0.0006 -gfx950,256,1152,5120,576,32x32,flydsl,bmm,1,9.675,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_sps,702.31,1595.13,0.0006 -gfx950,256,1216,5120,576,32x32,flydsl,bmm,1,10.502,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x2_nb3_sk1_bd1,682.93,1535.5,0.0006 -gfx950,256,1280,5120,576,32x32,flydsl,bmm,1,10.78,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd1,700.36,1560.27,0.0006 -gfx950,256,1344,5120,576,32x32,flydsl,bmm,1,10.956,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd1,723.53,1598.44,0.0006 -gfx950,256,1408,5120,576,32x32,flydsl,bmm,1,12.003,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd1,691.86,1516.75,0.0006 -gfx950,256,1472,5120,576,32x32,flydsl,bmm,1,12.701,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd1,683.56,1487.99,0.0006 -gfx950,256,1536,5120,576,32x32,flydsl,bmm,1,12.741,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd1,711.04,1537.74,0.0006 -gfx950,256,1600,5120,576,32x32,flydsl,bmm,1,12.887,flydsl_bmm_mxfp8_mfma_t64x256x128_w1x4_nb4_sk1_bd1,732.32,1574.21,0.0006 -gfx950,256,1664,5120,576,32x32,flydsl,bmm,1,13.129,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_xcd,747.55,1597.95,0.0006 -gfx950,256,1728,5120,576,32x32,flydsl,bmm,1,12.951,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,786.97,1673.46,0.0006 -gfx950,256,1792,5120,576,32x32,flydsl,bmm,1,13.202,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,800.63,1694.22,0.0006 -gfx950,256,1856,5120,576,32x32,flydsl,bmm,1,13.828,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1_xcd,791.67,1667.63,0.0006 -gfx950,256,1920,5120,576,32x32,flydsl,bmm,1,13.814,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1,819.78,1719.49,0.0006 -gfx950,256,1984,5120,576,32x32,flydsl,bmm,1,13.854,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1,844.68,1764.59,0.0006 -gfx950,256,2048,5120,576,32x32,flydsl,bmm,1,13.988,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1,863.59,1797.3,0.0006 -gfx950,256,4096,5120,576,32x32,flydsl,bmm,1,27.038,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1_xcd,893.51,1750.4,0.0006 -gfx950,256,6144,5120,576,32x32,flydsl,bmm,1,35.136,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1_xcd,1031.37,1978.46,0.0006 -gfx950,256,8192,5120,576,32x32,flydsl,bmm,1,45.447,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1_xcd,1063.19,2017.85,0.0006 -gfx950,256,10240,5120,576,32x32,flydsl,bmm,1,55.297,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1_xcd,1092.25,2059.66,0.0006 -gfx950,256,12288,5120,576,32x32,flydsl,bmm,1,63.182,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1_xcd_sps,1147.13,2153.78,0.0006 -gfx950,256,14336,5120,576,32x32,flydsl,bmm,1,73.615,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1_xcd,1148.64,2149.95,0.0006 -gfx950,256,16384,5120,576,32x32,flydsl,bmm,1,81.244,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb5_sk1_bd1_xcd,1189.46,2221.15,0.0006 -gfx950,256,32768,5120,576,32x32,flydsl,bmm,1,150.947,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb5_sk1_bd1_xcd,1280.41,2371.43,0.0006 -gfx950,256,1,5120,1152,32x32,flydsl,bmm,1,3.867,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb10_sk1_nt_sps,3.05,1529.65,0.0004 -gfx950,256,2,5120,1152,32x32,flydsl,bmm,1,3.91,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb10_sk1_nt_sps,6.03,1515.75,0.0008 -gfx950,256,4,5120,1152,32x32,flydsl,bmm,1,3.952,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb10_sk1_nt_sps,11.94,1505.45,0.0007 -gfx950,256,8,5120,1152,32x32,flydsl,bmm,1,4.022,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb10_sk1_nt_sps,23.46,1490.49,0.0006 -gfx950,256,16,5120,1152,32x32,flydsl,bmm,1,4.095,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_sps,46.09,1486.49,0.0007 -gfx950,256,32,5120,1152,32x32,flydsl,bmm,1,4.489,flydsl_bmm_mxfp8_mfma_t32x32x128_w2x1_nb7_sk1_nt_sps,84.09,1396.68,0.0007 -gfx950,256,48,5120,1152,32x32,flydsl,bmm,1,4.972,flydsl_bmm_mxfp8_mfma_t64x32x128_w4x1_nb6_sk1_nt_sps,113.88,1297.69,0.0007 -gfx950,256,64,5120,1152,32x32,flydsl,bmm,1,4.982,flydsl_bmm_mxfp8_mfma_t32x64x128_w1x4_nb8_sk1_bd3_xcd_sps,151.53,1331.8,0.0007 -gfx950,256,80,5120,1152,32x32,flydsl,bmm,1,5.434,flydsl_bmm_mxfp8_mfma_t32x64x128_w1x4_nb9_sk1_bd3_xcd_sps,173.67,1254.72,0.0006 -gfx950,256,96,5120,1152,32x32,flydsl,bmm,1,5.458,flydsl_bmm_mxfp8_mfma_t32x64x128_w1x4_nb9_sk1_bd4_xcd_sps,207.49,1282.77,0.0007 -gfx950,256,112,5120,1152,32x32,flydsl,bmm,1,5.68,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb9_sk1_bd4_xcd_sps,232.61,1264.82,0.0007 -gfx950,256,128,5120,1152,32x32,flydsl,bmm,1,5.857,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb8_sk1_bd4_xcd_sps,257.8,1257.78,0.0007 -gfx950,256,144,5120,1152,32x32,flydsl,bmm,1,6.157,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb4_sk1_xcd_sps,275.91,1226.26,0.0007 -gfx950,256,160,5120,1152,32x32,flydsl,bmm,1,6.182,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb4_sk1_xcd_sps,305.33,1250.87,0.0007 -gfx950,256,176,5120,1152,32x32,flydsl,bmm,1,6.196,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd_sps,335.07,1277.45,0.0006 -gfx950,256,192,5120,1152,32x32,flydsl,bmm,1,6.208,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb5_sk1_xcd,364.82,1304.42,0.0007 -gfx950,256,208,5120,1152,32x32,flydsl,bmm,1,6.821,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1_bd2_xcd,359.72,1214.03,0.0006 -gfx950,256,224,5120,1152,32x32,flydsl,bmm,1,6.759,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk1_bd2_xcd,390.94,1252.23,0.0007 -gfx950,256,240,5120,1152,32x32,flydsl,bmm,1,6.779,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk1_bd2_xcd,417.62,1275.47,0.0007 -gfx950,256,256,5120,1152,32x32,flydsl,bmm,1,6.867,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk1_bd2_xcd,439.79,1285.86,0.0007 -gfx950,256,288,5120,1152,32x32,flydsl,bmm,1,7.04,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk1_bd2_xcd,482.59,1306.17,0.0006 -gfx950,256,320,5120,1152,32x32,flydsl,bmm,1,7.664,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb5_sk1_bd2,492.54,1247.5,0.0007 -gfx950,256,352,5120,1152,32x32,flydsl,bmm,1,7.824,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb5_sk1_bd2_xcd,530.75,1268.82,0.0006 -gfx950,256,384,5120,1152,32x32,flydsl,bmm,1,8.025,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb5_sk1_bd2_xcd,564.48,1282.57,0.0007 -gfx950,256,416,5120,1152,32x32,flydsl,bmm,1,8.67,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,566.04,1229.35,0.0007 -gfx950,256,448,5120,1152,32x32,flydsl,bmm,1,8.813,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,599.65,1250.82,0.0007 -gfx950,256,480,5120,1152,32x32,flydsl,bmm,1,8.987,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,630.07,1267.34,0.0007 -gfx950,256,512,5120,1152,32x32,flydsl,bmm,1,9.313,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,648.55,1262.26,0.0007 -gfx950,256,544,5120,1152,32x32,flydsl,bmm,1,9.383,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,683.92,1291.76,0.0007 -gfx950,256,576,5120,1152,32x32,flydsl,bmm,1,9.476,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,717.07,1317.73,0.0006 -gfx950,256,608,5120,1152,32x32,flydsl,bmm,1,10.228,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb5_sk1_bd2,701.21,1256.52,0.0007 -gfx950,256,640,5120,1152,32x32,flydsl,bmm,1,10.431,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,723.75,1267.12,0.0007 -gfx950,256,672,5120,1152,32x32,flydsl,bmm,1,10.553,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb5_sk1_bd2,751.19,1287.2,0.0007 -gfx950,256,704,5120,1152,32x32,flydsl,bmm,1,10.662,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb5_sk1_bd2,778.92,1308.35,0.0007 -gfx950,256,736,5120,1152,32x32,flydsl,bmm,1,10.52,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,825.31,1360.75,0.0007 -gfx950,256,768,5120,1152,32x32,flydsl,bmm,1,10.529,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,860.47,1394.34,0.0007 -gfx950,256,800,5120,1152,32x32,flydsl,bmm,1,13.265,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,711.43,1134.28,0.0007 -gfx950,256,832,5120,1152,32x32,flydsl,bmm,1,12.71,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,772.22,1212.62,0.0007 -gfx950,256,864,5120,1152,32x32,flydsl,bmm,1,13.041,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,781.56,1209.89,0.0007 -gfx950,256,896,5120,1152,32x32,flydsl,bmm,1,13.569,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_xcd,778.97,1189.75,0.0007 -gfx950,256,928,5120,1152,32x32,flydsl,bmm,1,13.551,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,807.86,1218.33,0.0007 -gfx950,256,960,5120,1152,32x32,flydsl,bmm,1,13.947,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,811.99,1209.95,0.0006 -gfx950,256,992,5120,1152,32x32,flydsl,bmm,1,13.827,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,846.3,1246.84,0.0007 -gfx950,256,1024,5120,1152,32x32,flydsl,bmm,1,13.967,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb5_sk1_bd2,864.86,1260.55,0.0007 -gfx950,256,1088,5120,1152,32x32,flydsl,bmm,1,13.916,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,922.31,1317.77,0.0007 -gfx950,256,1152,5120,1152,32x32,flydsl,bmm,1,13.861,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,980.4,1375.72,0.0007 -gfx950,256,1216,5120,1152,32x32,flydsl,bmm,1,15.632,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb5_sk1_bd2,917.67,1266.7,0.0006 -gfx950,256,1280,5120,1152,32x32,flydsl,bmm,1,15.505,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,973.87,1324.24,0.0007 -gfx950,256,1344,5120,1152,32x32,flydsl,bmm,1,15.773,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1005.17,1348.08,0.0007 -gfx950,256,1408,5120,1152,32x32,flydsl,bmm,1,15.76,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1053.9,1395.6,0.0007 -gfx950,256,1472,5120,1152,32x32,flydsl,bmm,1,16.479,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb2_sk1_sps,1053.72,1379.08,0.0007 -gfx950,256,1536,5120,1152,32x32,flydsl,bmm,1,16.546,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd,1095.12,1417.74,0.0007 -gfx950,256,1600,5120,1152,32x32,flydsl,bmm,1,17.904,flydsl_bmm_mxfp8_mfma_t64x256x128_w1x4_nb3_sk1_bd2_xcd,1054.18,1351.0,0.0007 -gfx950,256,1664,5120,1152,32x32,flydsl,bmm,1,19.501,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,1006.56,1277.87,0.0007 -gfx950,256,1728,5120,1152,32x32,flydsl,bmm,1,18.623,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1094.59,1377.42,0.0007 -gfx950,256,1792,5120,1152,32x32,flydsl,bmm,1,19.017,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,1111.6,1387.33,0.0007 -gfx950,256,1856,5120,1152,32x32,flydsl,bmm,1,20.298,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1_xcd,1078.64,1335.82,0.0007 -gfx950,256,1920,5120,1152,32x32,flydsl,bmm,1,20.49,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1_xcd,1105.36,1358.96,0.0007 -gfx950,256,1984,5120,1152,32x32,flydsl,bmm,1,20.531,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1_xcd_sps,1139.96,1391.92,0.0007 -gfx950,256,2048,5120,1152,32x32,flydsl,bmm,1,20.81,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1_xcd,1160.93,1408.38,0.0007 -gfx950,256,4096,5120,1152,32x32,flydsl,bmm,1,38.281,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_sps,1262.19,1376.99,0.0007 -gfx950,256,6144,5120,1152,32x32,flydsl,bmm,1,55.1,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_sps,1315.38,1381.44,0.0007 -gfx950,256,8192,5120,1152,32x32,flydsl,bmm,1,74.572,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_sps,1295.89,1334.59,0.0007 -gfx950,256,10240,5120,1152,32x32,flydsl,bmm,1,87.268,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_sps,1384.2,1408.62,0.0007 -gfx950,256,12288,5120,1152,32x32,flydsl,bmm,1,100.69,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1439.62,1453.28,0.0007 -gfx950,256,14336,5120,1152,32x32,flydsl,bmm,1,116.646,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3,1449.81,1455.14,0.0007 -gfx950,256,16384,5120,1152,32x32,flydsl,bmm,1,127.597,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1514.72,1513.68,0.0007 -gfx950,256,32768,5120,1152,32x32,flydsl,bmm,1,244.728,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1579.5,1554.28,0.0007 -gfx950,256,1,5120,2048,32x32,flydsl,bmm,1,4.205,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb6_sk1_nt_sps,4.99,2498.92,0.0004 -gfx950,256,2,5120,2048,32x32,flydsl,bmm,1,4.245,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb7_sk1_nt_sps,9.88,2478.55,0.0009 -gfx950,256,4,5120,2048,32x32,flydsl,bmm,1,4.358,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb7_sk1_nt_sps,19.25,2419.89,0.0006 -gfx950,256,8,5120,2048,32x32,flydsl,bmm,1,4.414,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb8_sk1_nt_sps,38.01,2400.29,0.001 -gfx950,256,16,5120,2048,32x32,flydsl,bmm,1,4.398,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb5_sk1_bd3_nt,76.3,2431.66,0.0007 -gfx950,256,32,5120,2048,32x32,flydsl,bmm,1,4.735,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd2_nt,141.73,2300.13,0.0007 -gfx950,256,48,5120,2048,32x32,flydsl,bmm,1,5.408,flydsl_bmm_mxfp8_mfma_t48x32x512_w1x2_nb5_sk1_bd2_nt,186.14,2050.48,0.0007 -gfx950,256,64,5120,2048,32x32,flydsl,bmm,1,5.829,flydsl_bmm_mxfp8_mfma_t64x32x128_w2x2_nb6_sk1_nt,230.25,1936.22,0.0007 -gfx950,256,80,5120,2048,32x32,flydsl,bmm,1,6.655,flydsl_bmm_mxfp8_mfma_t96x32x128_w2x2_nb6_sk1_nt,252.11,1725.7,0.0007 -gfx950,256,96,5120,2048,32x32,flydsl,bmm,1,6.899,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd,291.83,1693.3,0.0008 -gfx950,256,112,5120,2048,32x32,flydsl,bmm,1,7.066,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd,332.4,1681.18,0.0007 -gfx950,256,128,5120,2048,32x32,flydsl,bmm,1,7.219,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1_xcd,371.84,1672.93,0.0007 -gfx950,256,144,5120,2048,32x32,flydsl,bmm,1,7.675,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1,393.46,1599.26,0.0007 -gfx950,256,160,5120,2048,32x32,flydsl,bmm,1,7.708,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd,435.29,1618.01,0.0008 -gfx950,256,176,5120,2048,32x32,flydsl,bmm,1,7.773,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1_xcd,474.84,1629.96,0.0007 -gfx950,256,192,5120,2048,32x32,flydsl,bmm,1,7.898,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb4_sk1_xcd,509.79,1629.14,0.0008 -gfx950,256,208,5120,2048,32x32,flydsl,bmm,1,8.749,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1_xcd,498.58,1493.33,0.0007 -gfx950,256,224,5120,2048,32x32,flydsl,bmm,1,8.652,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1,542.93,1532.85,0.0007 -gfx950,256,240,5120,2048,32x32,flydsl,bmm,1,8.586,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1,586.24,1567.8,0.0007 -gfx950,256,256,5120,2048,32x32,flydsl,bmm,1,8.775,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1,611.79,1556.41,0.0007 -gfx950,256,288,5120,2048,32x32,flydsl,bmm,1,9.077,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1,665.41,1548.27,0.0008 -gfx950,256,320,5120,2048,32x32,flydsl,bmm,1,9.564,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x1_nb4_sk1_xcd,701.69,1510.76,0.0007 -gfx950,256,352,5120,2048,32x32,flydsl,bmm,1,9.76,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1_xcd,756.39,1520.96,0.0007 -gfx950,256,384,5120,2048,32x32,flydsl,bmm,1,9.845,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk1_xcd,817.99,1547.92,0.0007 -gfx950,256,416,5120,2048,32x32,flydsl,bmm,1,12.876,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1_xcd,677.53,1214.19,0.0007 -gfx950,256,448,5120,2048,32x32,flydsl,bmm,1,12.953,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,725.36,1237.57,0.0007 -gfx950,256,480,5120,2048,32x32,flydsl,bmm,1,12.922,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,779.03,1271.13,0.0007 -gfx950,256,512,5120,2048,32x32,flydsl,bmm,1,13.336,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,805.16,1261.29,0.0007 -gfx950,256,544,5120,2048,32x32,flydsl,bmm,1,13.591,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1_xcd,839.44,1266.72,0.0007 -gfx950,256,576,5120,2048,32x32,flydsl,bmm,1,13.431,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1_xcd,899.39,1311.21,0.0007 -gfx950,256,608,5120,2048,32x32,flydsl,bmm,1,13.56,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1_xcd,940.31,1327.87,0.0007 -gfx950,256,640,5120,2048,32x32,flydsl,bmm,1,14.117,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,950.79,1303.53,0.0007 -gfx950,256,672,5120,2048,32x32,flydsl,bmm,1,14.488,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,972.69,1297.34,0.0007 -gfx950,256,704,5120,2048,32x32,flydsl,bmm,1,14.462,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,1020.86,1327.03,0.0007 -gfx950,256,736,5120,2048,32x32,flydsl,bmm,1,14.755,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,1046.1,1327.5,0.0007 -gfx950,256,768,5120,2048,32x32,flydsl,bmm,1,14.799,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,1088.32,1350.24,0.0007 -gfx950,256,800,5120,2048,32x32,flydsl,bmm,1,18.428,flydsl_bmm_mxfp8_mfma_t48x128x128_w1x2_nb3_sk1_bd1_xcd,910.41,1105.78,0.0007 -gfx950,256,832,5120,2048,32x32,flydsl,bmm,1,19.224,flydsl_bmm_mxfp8_mfma_t48x128x128_w1x2_nb4_sk1_bd1_xcd,907.63,1080.57,0.0007 -gfx950,256,864,5120,2048,32x32,flydsl,bmm,1,18.669,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb4_sk1_bd1_xcd,970.56,1133.87,0.0007 -gfx950,256,896,5120,2048,32x32,flydsl,bmm,1,18.854,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb4_sk1_bd2_xcd,996.62,1143.69,0.0007 -gfx950,256,928,5120,2048,32x32,flydsl,bmm,1,18.627,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1044.82,1178.88,0.0007 -gfx950,256,960,5120,2048,32x32,flydsl,bmm,1,18.748,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1073.86,1192.34,0.0007 -gfx950,256,992,5120,2048,32x32,flydsl,bmm,1,19.699,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1056.08,1154.84,0.0007 -gfx950,256,1024,5120,2048,32x32,flydsl,bmm,1,19.712,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1089.43,1174.13,0.0007 -gfx950,256,1088,5120,2048,32x32,flydsl,bmm,1,20.849,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1094.37,1148.0,0.0007 -gfx950,256,1152,5120,2048,32x32,flydsl,bmm,1,20.951,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,1153.12,1180.15,0.0007 -gfx950,256,1216,5120,2048,32x32,flydsl,bmm,1,22.228,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,1147.25,1147.91,0.0007 -gfx950,256,1280,5120,2048,32x32,flydsl,bmm,1,21.606,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd,1242.41,1217.55,0.0007 -gfx950,256,1344,5120,2048,32x32,flydsl,bmm,1,22.556,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd,1249.57,1201.31,0.0007 -gfx950,256,1408,5120,2048,32x32,flydsl,bmm,1,22.804,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,1294.85,1222.92,0.0007 -gfx950,256,1472,5120,2048,32x32,flydsl,bmm,1,23.479,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2,1314.81,1221.45,0.0007 -gfx950,256,1536,5120,2048,32x32,flydsl,bmm,1,23.809,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1352.92,1237.69,0.0007 -gfx950,256,1600,5120,2048,32x32,flydsl,bmm,1,26.703,flydsl_bmm_mxfp8_mfma_t64x256x128_w1x2_nb2_sk1_bd1_xcd,1256.57,1133.17,0.0007 -gfx950,256,1664,5120,2048,32x32,flydsl,bmm,1,28.918,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,1206.73,1073.71,0.0007 -gfx950,256,1728,5120,2048,32x32,flydsl,bmm,1,27.859,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb2_sk1_bd1_xcd,1300.78,1142.9,0.0007 -gfx950,256,1792,5120,2048,32x32,flydsl,bmm,1,29.376,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb2_sk1_bd1_xcd,1279.29,1110.78,0.0007 -gfx950,256,1856,5120,2048,32x32,flydsl,bmm,1,30.668,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1_xcd,1269.19,1089.79,0.0007 -gfx950,256,1920,5120,2048,32x32,flydsl,bmm,1,30.725,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1_xcd,1310.51,1113.49,0.0007 -gfx950,256,1984,5120,2048,32x32,flydsl,bmm,1,31.237,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1_xcd,1332.0,1120.55,0.0007 -gfx950,256,2048,5120,2048,32x32,flydsl,bmm,1,31.744,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1_xcd,1353.0,1127.55,0.0007 -gfx950,256,4096,5120,2048,32x32,flydsl,bmm,1,61.325,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,1400.72,996.16,0.0007 -gfx950,256,6144,5120,2048,32x32,flydsl,bmm,1,83.038,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1551.69,1040.33,0.0007 -gfx950,256,8192,5120,2048,32x32,flydsl,bmm,1,110.854,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2,1549.77,1007.48,0.0007 -gfx950,256,10240,5120,2048,32x32,flydsl,bmm,1,132.515,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2,1620.56,1033.7,0.0007 -gfx950,256,12288,5120,2048,32x32,flydsl,bmm,1,149.305,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2,1725.99,1086.89,0.0007 -gfx950,256,14336,5120,2048,32x32,flydsl,bmm,1,178.146,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2,1687.65,1052.93,0.0007 -gfx950,256,16384,5120,2048,32x32,flydsl,bmm,1,192.884,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1781.37,1103.62,0.0007 -gfx950,256,32768,5120,2048,32x32,flydsl,bmm,1,377.594,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1819.93,1099.72,0.0007 -gfx950,256,1,5120,2304,32x32,flydsl,bmm,1,4.445,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb6_sk1_sps,5.31,2659.18,0.0006 -gfx950,256,2,5120,2304,32x32,flydsl,bmm,1,4.457,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb8_sk1_sps,10.59,2654.83,0.0004 -gfx950,256,4,5120,2304,32x32,flydsl,bmm,1,5.071,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb7_sk1_sps,18.61,2338.29,0.0009 -gfx950,256,8,5120,2304,32x32,flydsl,bmm,1,5.287,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb6_sk1_nt_sps,35.7,2252.61,0.0005 -gfx950,256,16,5120,2304,32x32,flydsl,bmm,1,5.411,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x1_nb8_sk1_bd3_nt_sps,69.77,2219.62,0.0008 -gfx950,256,32,5120,2304,32x32,flydsl,bmm,1,5.806,flydsl_bmm_mxfp8_mfma_t32x32x256_w1x2_nb9_sk1_bd3_nt_sps,130.04,2103.45,0.0008 -gfx950,256,48,5120,2304,32x32,flydsl,bmm,1,6.601,flydsl_bmm_mxfp8_mfma_t48x32x256_w1x2_nb9_sk1_bd3_nt_sps,171.57,1880.63,0.0006 -gfx950,256,64,5120,2304,32x32,flydsl,bmm,1,6.86,flydsl_bmm_mxfp8_mfma_t32x64x256_w1x4_nb5_sk1_bd2_xcd,220.11,1838.98,0.0008 -gfx950,256,80,5120,2304,32x32,flydsl,bmm,1,7.226,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,261.2,1773.76,0.0007 -gfx950,256,96,5120,2304,32x32,flydsl,bmm,1,7.469,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,303.26,1743.19,0.0007 -gfx950,256,112,5120,2304,32x32,flydsl,bmm,1,7.851,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,336.57,1683.98,0.0007 -gfx950,256,128,5120,2304,32x32,flydsl,bmm,1,8.123,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,371.77,1652.43,0.0007 -gfx950,256,144,5120,2304,32x32,flydsl,bmm,1,8.344,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,407.15,1632.82,0.0008 -gfx950,256,160,5120,2304,32x32,flydsl,bmm,1,8.757,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x2_nb4_sk1_xcd,431.09,1579.0,0.0007 -gfx950,256,176,5120,2304,32x32,flydsl,bmm,1,8.782,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,472.8,1597.32,0.0007 -gfx950,256,192,5120,2304,32x32,flydsl,bmm,1,8.936,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2_xcd,506.94,1592.53,0.0007 -gfx950,256,208,5120,2304,32x32,flydsl,bmm,1,10.714,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,458.02,1347.0,0.0008 -gfx950,256,224,5120,2304,32x32,flydsl,bmm,1,10.068,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1_bd2_xcd,524.92,1453.53,0.0007 -gfx950,256,240,5120,2304,32x32,flydsl,bmm,1,10.057,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk1_bd2_xcd,563.05,1475.24,0.0007 -gfx950,256,256,5120,2304,32x32,flydsl,bmm,1,9.926,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk1_bd2,608.47,1514.96,0.0007 -gfx950,256,288,5120,2304,32x32,flydsl,bmm,1,10.384,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk1_bd2,654.35,1487.05,0.0007 -gfx950,256,320,5120,2304,32x32,flydsl,bmm,1,11.207,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,673.68,1413.9,0.0007 -gfx950,256,352,5120,2304,32x32,flydsl,bmm,1,11.449,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,725.38,1419.27,0.0008 -gfx950,256,384,5120,2304,32x32,flydsl,bmm,1,11.623,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1_xcd,779.43,1432.66,0.0007 -gfx950,256,416,5120,2304,32x32,flydsl,bmm,1,15.244,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb3_sk1,643.82,1118.86,0.0007 -gfx950,256,448,5120,2304,32x32,flydsl,bmm,1,14.657,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,721.15,1191.26,0.0007 -gfx950,256,480,5120,2304,32x32,flydsl,bmm,1,14.756,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,767.45,1210.59,0.0007 -gfx950,256,512,5120,2304,32x32,flydsl,bmm,1,15.207,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,794.33,1201.23,0.0008 -gfx950,256,544,5120,2304,32x32,flydsl,bmm,1,15.578,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,823.92,1198.59,0.0007 -gfx950,256,576,5120,2304,32x32,flydsl,bmm,1,15.445,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,879.87,1235.02,0.0007 -gfx950,256,608,5120,2304,32x32,flydsl,bmm,1,15.669,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,915.44,1243.09,0.0007 -gfx950,256,640,5120,2304,32x32,flydsl,bmm,1,16.108,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,937.41,1234.33,0.0007 -gfx950,256,672,5120,2304,32x32,flydsl,bmm,1,15.887,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,997.95,1276.89,0.0008 -gfx950,256,704,5120,2304,32x32,flydsl,bmm,1,15.895,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1044.96,1301.67,0.0007 -gfx950,256,736,5120,2304,32x32,flydsl,bmm,1,16.243,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1069.01,1298.58,0.0008 -gfx950,256,768,5120,2304,32x32,flydsl,bmm,1,16.832,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,1076.49,1277.16,0.0007 -gfx950,256,800,5120,2304,32x32,flydsl,bmm,1,21.751,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb5_sk1_bd1,867.75,1006.89,0.0008 -gfx950,256,832,5120,2304,32x32,flydsl,bmm,1,21.168,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb5_sk1_bd1_xcd,927.3,1053.67,0.0007 -gfx950,256,864,5120,2304,32x32,flydsl,bmm,1,20.385,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb5_sk1_bd2_xcd,999.95,1113.94,0.0007 -gfx950,256,896,5120,2304,32x32,flydsl,bmm,1,20.181,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb4_sk1_bd2_xcd,1047.5,1145.25,0.0007 -gfx950,256,928,5120,2304,32x32,flydsl,bmm,1,20.87,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb4_sk1_bd3_xcd,1049.08,1126.77,0.0007 -gfx950,256,960,5120,2304,32x32,flydsl,bmm,1,20.449,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb4_sk1_bd2_xcd,1107.6,1169.71,0.0008 -gfx950,256,992,5120,2304,32x32,flydsl,bmm,1,21.255,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb5_sk1_bd2_xcd,1101.1,1144.33,0.0007 -gfx950,256,1024,5120,2304,32x32,flydsl,bmm,1,21.916,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb5_sk1_bd2_xcd,1102.36,1128.26,0.0007 -gfx950,256,1088,5120,2304,32x32,flydsl,bmm,1,23.039,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb3_sk1_bd2_xcd,1114.17,1108.32,0.0008 -gfx950,256,1152,5120,2304,32x32,flydsl,bmm,1,23.738,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd2_xcd,1144.94,1109.66,0.0007 -gfx950,256,1216,5120,2304,32x32,flydsl,bmm,1,24.354,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd2_xcd,1178.0,1114.77,0.0007 -gfx950,256,1280,5120,2304,32x32,flydsl,bmm,1,25.418,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd2_xcd_sps,1188.08,1099.85,0.0007 -gfx950,256,1344,5120,2304,32x32,flydsl,bmm,1,25.442,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1246.3,1130.55,0.0008 -gfx950,256,1408,5120,2304,32x32,flydsl,bmm,1,26.253,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd2_xcd,1265.33,1126.39,0.0007 -gfx950,256,1472,5120,2304,32x32,flydsl,bmm,1,27.323,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2,1271.04,1111.83,0.0007 -gfx950,256,1536,5120,2304,32x32,flydsl,bmm,1,26.921,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1346.1,1158.42,0.0007 -gfx950,256,1600,5120,2304,32x32,flydsl,bmm,1,32.338,flydsl_bmm_mxfp8_mfma_t64x256x128_w1x4_nb3_sk1_bd2_xcd,1167.3,989.34,0.0007 -gfx950,256,1664,5120,2304,32x32,flydsl,bmm,1,35.281,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd2_xcd,1112.73,929.7,0.0007 -gfx950,256,1728,5120,2304,32x32,flydsl,bmm,1,35.661,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd2,1143.23,942.45,0.0007 -gfx950,256,1792,5120,2304,32x32,flydsl,bmm,1,35.116,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,1203.95,980.05,0.0007 -gfx950,256,1856,5120,2304,32x32,flydsl,bmm,1,39.68,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,1103.55,887.69,0.0007 -gfx950,256,1920,5120,2304,32x32,flydsl,bmm,1,40.367,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,1122.16,892.57,0.0007 -gfx950,256,1984,5120,2304,32x32,flydsl,bmm,1,37.926,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3,1234.2,971.31,0.0007 -gfx950,256,2048,5120,2304,32x32,flydsl,bmm,1,41.545,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3,1163.03,906.13,0.0007 -gfx950,256,4096,5120,2304,32x32,flydsl,bmm,1,69.284,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2,1394.79,916.28,0.0007 -gfx950,256,6144,5120,2304,32x32,flydsl,bmm,1,91.029,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1592.41,981.23,0.0007 -gfx950,256,8192,5120,2304,32x32,flydsl,bmm,1,123.514,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2,1564.8,932.35,0.0007 -gfx950,256,10240,5120,2304,32x32,flydsl,bmm,1,150.558,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,1604.64,936.49,0.0007 -gfx950,256,12288,5120,2304,32x32,flydsl,bmm,1,167.108,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1734.87,998.36,0.0007 -gfx950,256,14336,5120,2304,32x32,flydsl,bmm,1,195.077,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_sps,1733.82,987.67,0.0007 -gfx950,256,16384,5120,2304,32x32,flydsl,bmm,1,213.507,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1810.46,1023.42,0.0007 -gfx950,256,32768,5120,2304,32x32,flydsl,bmm,1,419.522,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1842.8,1013.56,0.0007 -gfx950,256,1,5120,4096,32x32,flydsl,bmm,1,5.902,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb8_sk1_xcd_sps,7.11,3559.23,0.0008 -gfx950,256,2,5120,4096,32x32,flydsl,bmm,1,5.948,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb8_sk1_xcd_sps,14.1,3534.12,0.0008 -gfx950,256,4,5120,4096,32x32,flydsl,bmm,1,6.045,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb8_sk1_xcd_sps,27.75,3481.99,0.0005 -gfx950,256,8,5120,4096,32x32,flydsl,bmm,1,6.161,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb8_sk1_bd3_xcd,54.46,3425.84,0.0008 -gfx950,256,16,5120,4096,32x32,flydsl,bmm,1,6.373,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb9_sk1_bd3_nt_xcd,105.3,3330.16,0.0008 -gfx950,256,32,5120,4096,32x32,flydsl,bmm,1,7.195,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb6_sk1_bd2_nt,186.56,2982.1,0.0006 -gfx950,256,48,5120,4096,32x32,flydsl,bmm,1,7.872,flydsl_bmm_mxfp8_mfma_t48x32x256_w1x2_nb5_sk1_bd2_nt,255.75,2754.91,0.0009 -gfx950,256,64,5120,4096,32x32,flydsl,bmm,1,8.954,flydsl_bmm_mxfp8_mfma_t64x32x256_w1x2_nb4_sk1_bd2_nt,299.79,2447.77,0.0007 -gfx950,256,80,5120,4096,32x32,flydsl,bmm,1,10.116,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,331.71,2189.62,0.0008 -gfx950,256,96,5120,4096,32x32,flydsl,bmm,1,10.346,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_xcd,389.17,2163.1,0.0008 -gfx950,256,112,5120,4096,32x32,flydsl,bmm,1,10.784,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,435.62,2096.88,0.0008 -gfx950,256,128,5120,4096,32x32,flydsl,bmm,1,11.32,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,474.29,2018.05,0.0007 -gfx950,256,144,5120,4096,32x32,flydsl,bmm,1,11.536,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,523.57,2000.27,0.0008 -gfx950,256,160,5120,4096,32x32,flydsl,bmm,1,11.826,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd,567.47,1970.75,0.0008 -gfx950,256,176,5120,4096,32x32,flydsl,bmm,1,12.149,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd,607.62,1937.42,0.0008 -gfx950,256,192,5120,4096,32x32,flydsl,bmm,1,13.148,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb6_sk1_xcd,612.5,1807.84,0.0008 -gfx950,256,208,5120,4096,32x32,flydsl,bmm,1,14.778,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk1_xcd,590.35,1624.08,0.0008 -gfx950,256,224,5120,4096,32x32,flydsl,bmm,1,14.47,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1_xcd,649.28,1674.61,0.0007 -gfx950,256,240,5120,4096,32x32,flydsl,bmm,1,14.045,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk1_xcd,716.71,1741.75,0.0008 -gfx950,256,256,5120,4096,32x32,flydsl,bmm,1,14.096,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1_xcd,761.71,1751.85,0.0008 -gfx950,256,288,5120,4096,32x32,flydsl,bmm,1,14.55,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1_xcd,830.24,1729.1,0.0008 -gfx950,256,320,5120,4096,32x32,flydsl,bmm,1,16.175,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x1_nb4_sk1_xcd,829.8,1583.98,0.0008 -gfx950,256,352,5120,4096,32x32,flydsl,bmm,1,16.257,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x1_nb4_sk1_xcd,908.18,1604.47,0.0008 -gfx950,256,384,5120,4096,32x32,flydsl,bmm,1,16.936,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x1_nb4_sk1_xcd,950.98,1567.41,0.0008 -gfx950,256,416,5120,4096,32x32,flydsl,bmm,1,21.105,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,826.75,1279.77,0.0008 -gfx950,256,448,5120,4096,32x32,flydsl,bmm,1,21.437,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1_xcd,876.55,1281.52,0.0008 -gfx950,256,480,5120,4096,32x32,flydsl,bmm,1,21.546,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,934.4,1296.51,0.0008 -gfx950,256,512,5120,4096,32x32,flydsl,bmm,1,22.571,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1_xcd,951.43,1258.14,0.0008 -gfx950,256,544,5120,4096,32x32,flydsl,bmm,1,22.883,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,997.13,1261.23,0.0008 -gfx950,256,576,5120,4096,32x32,flydsl,bmm,1,23.041,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1048.54,1272.67,0.0008 -gfx950,256,608,5120,4096,32x32,flydsl,bmm,1,23.375,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1_xcd,1090.98,1274.28,0.0008 -gfx950,256,640,5120,4096,32x32,flydsl,bmm,1,23.79,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1_xcd,1128.36,1271.5,0.0008 -gfx950,256,672,5120,4096,32x32,flydsl,bmm,1,24.56,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1147.64,1250.5,0.0008 -gfx950,256,704,5120,4096,32x32,flydsl,bmm,1,24.654,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1197.71,1264.51,0.0008 -gfx950,256,736,5120,4096,32x32,flydsl,bmm,1,25.572,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1_xcd,1207.2,1237.21,0.0008 -gfx950,256,768,5120,4096,32x32,flydsl,bmm,1,25.354,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1270.48,1266.07,0.0008 -gfx950,256,800,5120,4096,32x32,flydsl,bmm,1,32.257,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd2_xcd,1040.21,1009.48,0.0008 -gfx950,256,832,5120,4096,32x32,flydsl,bmm,1,30.907,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1129.08,1068.55,0.0008 -gfx950,256,864,5120,4096,32x32,flydsl,bmm,1,31.228,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1160.44,1072.38,0.0008 -gfx950,256,896,5120,4096,32x32,flydsl,bmm,1,31.68,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1186.25,1071.69,0.0008 -gfx950,256,928,5120,4096,32x32,flydsl,bmm,1,31.002,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1255.48,1110.06,0.0008 -gfx950,256,960,5120,4096,32x32,flydsl,bmm,1,31.642,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1272.54,1102.26,0.0008 -gfx950,256,992,5120,4096,32x32,flydsl,bmm,1,32.993,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1261.11,1071.15,0.0008 -gfx950,256,1024,5120,4096,32x32,flydsl,bmm,1,33.548,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb4_sk1_bd2_xcd,1280.23,1067.21,0.0008 -gfx950,256,1088,5120,4096,32x32,flydsl,bmm,1,33.838,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1348.6,1085.43,0.0008 -gfx950,256,1152,5120,4096,32x32,flydsl,bmm,1,35.653,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,1355.22,1056.12,0.0008 -gfx950,256,1216,5120,4096,32x32,flydsl,bmm,1,36.505,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1397.13,1056.84,0.0008 -gfx950,256,1280,5120,4096,32x32,flydsl,bmm,1,38.618,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1390.21,1022.99,0.0008 -gfx950,256,1344,5120,4096,32x32,flydsl,bmm,1,39.219,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1437.35,1030.92,0.0008 -gfx950,256,1408,5120,4096,32x32,flydsl,bmm,1,40.321,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd2_xcd,1464.63,1025.69,0.0008 -gfx950,256,1472,5120,4096,32x32,flydsl,bmm,1,41.454,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1489.38,1020.01,0.0008 -gfx950,256,1536,5120,4096,32x32,flydsl,bmm,1,42.617,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1511.71,1013.89,0.0008 -gfx950,256,1600,5120,4096,32x32,flydsl,bmm,1,49.483,flydsl_bmm_mxfp8_mfma_t64x256x128_w1x2_nb2_sk1_bd1_xcd,1356.2,891.91,0.0008 -gfx950,256,1664,5120,4096,32x32,flydsl,bmm,1,55.439,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x2_nb2_sk1_bd1_xcd,1258.92,812.79,0.0008 -gfx950,256,1728,5120,4096,32x32,flydsl,bmm,1,54.682,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb2_sk1_bd1_xcd,1325.44,840.97,0.0008 -gfx950,256,1792,5120,4096,32x32,flydsl,bmm,1,54.091,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb2_sk1_bd1_xcd,1389.56,867.28,0.0008 -gfx950,256,1856,5120,4096,32x32,flydsl,bmm,1,56.689,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1_xcd,1373.23,843.86,0.0008 -gfx950,256,1920,5120,4096,32x32,flydsl,bmm,1,55.004,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1,1464.09,886.54,0.0008 -gfx950,256,1984,5120,4096,32x32,flydsl,bmm,1,57.238,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1,1453.85,868.11,0.0008 -gfx950,256,2048,5120,4096,32x32,flydsl,bmm,1,57.323,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1,1498.52,882.97,0.0008 -gfx950,256,4096,5120,4096,32x32,flydsl,bmm,1,101.637,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2,1690.32,789.44,0.0008 -gfx950,256,6144,5120,4096,32x32,flydsl,bmm,1,137.818,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1,1869.84,797.13,0.0008 -gfx950,256,8192,5120,4096,32x32,flydsl,bmm,1,177.062,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb5_sk1_bd3,1940.55,787.75,0.0008 -gfx950,256,10240,5120,4096,32x32,flydsl,bmm,1,224.218,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb5_sk1_bd2,1915.54,754.19,0.0008 -gfx950,256,12288,5120,4096,32x32,flydsl,bmm,1,248.91,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb5_sk1_bd2,2070.61,798.38,0.0008 -gfx950,256,14336,5120,4096,32x32,flydsl,bmm,1,303.056,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,1984.11,753.48,0.0008 -gfx950,256,16384,5120,4096,32x32,flydsl,bmm,1,327.375,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1,2099.11,788.0,0.0008 -gfx950,256,32768,5120,4096,32x32,flydsl,bmm,1,649.882,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,2114.83,761.6,0.0008 -gfx950,256,1,5120,8192,32x32,flydsl,bmm,1,9.052,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb8_sk1_nt_xcd_sps,9.27,4640.16,0.0006 -gfx950,256,2,5120,8192,32x32,flydsl,bmm,1,9.053,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb8_sk1_nt_xcd,18.53,4641.72,0.0011 -gfx950,256,4,5120,8192,32x32,flydsl,bmm,1,9.196,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb7_sk1_nt_xcd,36.49,4573.7,0.0008 -gfx950,256,8,5120,8192,32x32,flydsl,bmm,1,9.223,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb9_sk1_bd3_nt_xcd,72.77,4568.49,0.0008 -gfx950,256,16,5120,8192,32x32,flydsl,bmm,1,9.432,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb7_sk1_bd3_nt,142.3,4482.85,0.0007 -gfx950,256,32,5120,8192,32x32,flydsl,bmm,4,11.445,flydsl_bmm_mxfp8_mfma_t32x128x128_w1x4_nb5_sk4_nt_xcd,234.54,3720.52,0.0009 -gfx950,256,48,5120,8192,32x32,flydsl,bmm,4,13.602,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk4_nt,296.02,3152.5,0.0009 -gfx950,256,64,5120,8192,32x32,flydsl,bmm,4,14.913,flydsl_bmm_mxfp8_mfma_t64x128x128_w4x1_nb4_sk4_nt,360.0,2895.45,0.0008 -gfx950,256,80,5120,8192,32x32,flydsl,bmm,4,17.729,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk4_nt_xcd,378.53,2452.48,0.0009 -gfx950,256,96,5120,8192,32x32,flydsl,bmm,2,16.673,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk2_nt,483.0,2625.67,0.0008 -gfx950,256,112,5120,8192,32x32,flydsl,bmm,4,18.465,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk4_nt,508.82,2387.07,0.0009 -gfx950,256,128,5120,8192,32x32,flydsl,bmm,4,18.814,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk4_nt,570.73,2358.72,0.0008 -gfx950,256,144,5120,8192,32x32,flydsl,bmm,1,23.026,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk1_xcd,524.6,1940.17,0.0008 -gfx950,256,160,5120,8192,32x32,flydsl,bmm,1,22.626,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb3_sk1_xcd,593.19,1987.68,0.0008 -gfx950,256,176,5120,8192,32x32,flydsl,bmm,1,23.123,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,638.49,1957.9,0.0008 -gfx950,256,192,5120,8192,32x32,flydsl,bmm,1,23.698,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x1_nb4_sk1_xcd,679.65,1923.06,0.0008 -gfx950,256,208,5120,8192,32x32,flydsl,bmm,2,27.389,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk2_xcd,637.06,1674.8,0.0008 -gfx950,256,224,5120,8192,32x32,flydsl,bmm,2,27.852,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk2,674.65,1657.68,0.0008 -gfx950,256,240,5120,8192,32x32,flydsl,bmm,2,28.412,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk2,708.6,1635.56,0.0009 -gfx950,256,256,5120,8192,32x32,flydsl,bmm,2,28.826,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk2_xcd,744.97,1622.41,0.0008 -gfx950,256,288,5120,8192,32x32,flydsl,bmm,2,30.82,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk2_xcd,783.89,1536.88,0.0008 -gfx950,256,320,5120,8192,32x32,flydsl,bmm,2,30.479,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk2,880.73,1573.69,0.0008 -gfx950,256,352,5120,8192,32x32,flydsl,bmm,2,31.983,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk2_xcd,923.24,1518.38,0.0009 -gfx950,256,384,5120,8192,32x32,flydsl,bmm,2,33.073,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk2_xcd,973.97,1486.41,0.0008 -gfx950,256,416,5120,8192,32x32,flydsl,bmm,1,39.508,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd3_xcd,883.29,1259.46,0.0009 -gfx950,256,448,5120,8192,32x32,flydsl,bmm,1,40.287,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,932.82,1249.93,0.0009 -gfx950,256,480,5120,8192,32x32,flydsl,bmm,1,41.221,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2_xcd,976.82,1236.13,0.0008 -gfx950,256,512,5120,8192,32x32,flydsl,bmm,1,42.409,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb6_sk1_bd2_xcd,1012.74,1215.59,0.0008 -gfx950,256,544,5120,8192,32x32,flydsl,bmm,1,42.94,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb7_sk1_bd2_xcd,1062.74,1214.49,0.0008 -gfx950,256,576,5120,8192,32x32,flydsl,bmm,1,44.27,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb8_sk1_bd2_xcd,1091.45,1191.52,0.0008 -gfx950,256,608,5120,8192,32x32,flydsl,bmm,1,47.553,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,1072.55,1121.83,0.0008 -gfx950,256,640,5120,8192,32x32,flydsl,bmm,1,47.835,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3_xcd,1122.33,1127.71,0.0008 -gfx950,256,672,5120,8192,32x32,flydsl,bmm,1,50.992,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,1105.49,1069.62,0.0008 -gfx950,256,704,5120,8192,32x32,flydsl,bmm,1,51.022,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3_xcd,1157.46,1080.72,0.0009 -gfx950,256,736,5120,8192,32x32,flydsl,bmm,1,51.875,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3_xcd,1190.16,1074.47,0.0008 -gfx950,256,768,5120,8192,32x32,flydsl,bmm,1,53.394,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,1206.58,1055.1,0.0008 -gfx950,256,800,5120,8192,32x32,flydsl,bmm,1,63.183,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd2,1062.14,901.11,0.0009 -gfx950,256,832,5120,8192,32x32,flydsl,bmm,1,62.896,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2_xcd,1109.66,914.72,0.0009 -gfx950,256,864,5120,8192,32x32,flydsl,bmm,1,63.231,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2_xcd,1146.23,919.33,0.0008 -gfx950,256,896,5120,8192,32x32,flydsl,bmm,1,63.233,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3,1188.64,928.76,0.0008 -gfx950,256,928,5120,8192,32x32,flydsl,bmm,1,64.322,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3,1210.26,922.34,0.0008 -gfx950,256,960,5120,8192,32x32,flydsl,bmm,1,64.975,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2_xcd,1239.42,922.27,0.0009 -gfx950,256,992,5120,8192,32x32,flydsl,bmm,1,65.949,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2_xcd_sps,1261.81,917.72,0.0009 -gfx950,256,1024,5120,8192,32x32,flydsl,bmm,1,68.057,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2_xcd,1262.17,898.08,0.0009 -gfx950,256,1088,5120,8192,32x32,flydsl,bmm,1,68.213,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2,1337.98,913.56,0.0008 -gfx950,256,1152,5120,8192,32x32,flydsl,bmm,1,69.555,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3,1389.35,913.13,0.0008 -gfx950,256,1216,5120,8192,32x32,flydsl,bmm,1,74.885,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2_xcd,1362.16,864.1,0.0008 -gfx950,256,1280,5120,8192,32x32,flydsl,bmm,1,74.905,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2,1433.48,879.85,0.0008 -gfx950,256,1344,5120,8192,32x32,flydsl,bmm,1,79.374,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2_xcd,1420.41,845.38,0.0009 -gfx950,256,1408,5120,8192,32x32,flydsl,bmm,1,80.236,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1472.05,851.2,0.0008 -gfx950,256,1472,5120,8192,32x32,flydsl,bmm,1,82.068,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb5_sk1_bd2,1504.62,846.77,0.0008 -gfx950,256,1536,5120,8192,32x32,flydsl,bmm,1,83.21,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb5_sk1_bd2_xcd,1548.49,849.53,0.0008 -gfx950,256,1600,5120,8192,32x32,flydsl,bmm,1,94.056,flydsl_bmm_mxfp8_mfma_t64x256x128_w1x2_nb4_sk1_bd2_xcd,1427.0,764.28,0.0008 -gfx950,256,1664,5120,8192,32x32,flydsl,bmm,1,97.747,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x2_nb4_sk1_bd2_xcd,1428.03,747.65,0.0009 -gfx950,256,1728,5120,8192,32x32,flydsl,bmm,1,98.472,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x2_nb4_sk1_bd2_xcd,1472.04,754.29,0.0009 -gfx950,256,1792,5120,8192,32x32,flydsl,bmm,1,101.714,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x2_nb4_sk1_bd2_xcd_sps,1477.91,742.01,0.0008 -gfx950,256,1856,5120,8192,32x32,flydsl,bmm,1,102.724,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x2_nb4_sk1_bd2_xcd,1515.64,746.36,0.0008 -gfx950,256,1920,5120,8192,32x32,flydsl,bmm,1,101.539,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x2_nb4_sk1_bd2_xcd,1586.21,766.85,0.0008 -gfx950,256,1984,5120,8192,32x32,flydsl,bmm,1,104.885,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x2_nb4_sk1_bd2_xcd,1586.79,753.79,0.0008 -gfx950,256,2048,5120,8192,32x32,flydsl,bmm,1,106.619,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x2_nb3_sk1_bd2_xcd,1611.34,752.75,0.0008 -gfx950,256,4096,5120,8192,32x32,flydsl,bmm,1,190.688,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2,1801.88,621.59,0.0008 -gfx950,256,6144,5120,8192,32x32,flydsl,bmm,1,256.201,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1,2011.69,612.03,0.0008 -gfx950,256,8192,5120,8192,32x32,flydsl,bmm,1,338.355,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,2030.99,576.54,0.0008 -gfx950,256,10240,5120,8192,32x32,flydsl,bmm,1,441.41,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_sps,1946.02,528.64,0.0008 -gfx950,256,12288,5120,8192,32x32,flydsl,bmm,1,492.553,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1,2092.75,551.46,0.0008 -gfx950,256,14336,5120,8192,32x32,flydsl,bmm,1,568.299,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1,2116.12,545.3,0.0008 -gfx950,256,16384,5120,8192,32x32,flydsl,bmm,1,635.088,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1,2164.09,548.22,0.0008 -gfx950,256,32768,5120,8192,32x32,flydsl,bmm,1,1316.704,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,2087.62,496.96,0.0008 -gfx950,256,1,5120,15360,32x32,flydsl,bmm,1,14.68,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb8_sk1_nt_xcd_sps,10.71,5364.35,0.0016 -gfx950,256,2,5120,15360,32x32,flydsl,bmm,1,14.598,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb6_sk1_bd2_nt_sps,21.55,5396.16,0.0006 -gfx950,256,4,5120,15360,32x32,flydsl,bmm,1,14.796,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb6_sk1_bd2_nt_sps,42.52,5327.52,0.0008 -gfx950,256,8,5120,15360,32x32,flydsl,bmm,3,14.877,flydsl_bmm_mxfp8_mfma_t16x64x256_w1x2_nb5_sk3_nt_sps,84.58,5305.24,0.001 -gfx950,256,16,5120,15360,32x32,flydsl,bmm,3,15.071,flydsl_bmm_mxfp8_mfma_t16x64x128_w1x2_nb5_sk3_nt_sps,166.98,5250.99,0.0007 -gfx950,256,32,5120,15360,32x32,flydsl,bmm,3,16.314,flydsl_bmm_mxfp8_mfma_t32x64x128_w2x2_nb5_sk3_nt_xcd,308.52,4876.55,0.0009 -gfx950,256,48,5120,15360,32x32,flydsl,bmm,3,18.739,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk3_nt_xcd,402.9,4267.78,0.0008 -gfx950,256,64,5120,15360,32x32,flydsl,bmm,3,20.584,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk3_nt_xcd,489.05,3905.51,0.0009 -gfx950,256,80,5120,15360,32x32,flydsl,bmm,6,24.884,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk6_xcd,505.66,3247.31,0.0009 -gfx950,256,96,5120,15360,32x32,flydsl,bmm,6,26.092,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk6,578.7,3112.96,0.0009 -gfx950,256,112,5120,15360,32x32,flydsl,bmm,6,26.597,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk6_xcd,662.34,3069.59,0.0009 -gfx950,256,128,5120,15360,32x32,flydsl,bmm,6,27.647,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk6_xcd,728.2,2968.07,0.0009 -gfx950,256,144,5120,15360,32x32,flydsl,bmm,3,37.811,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk3,599.01,2181.23,0.0009 -gfx950,256,160,5120,15360,32x32,flydsl,bmm,3,38.213,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk3,658.57,2169.24,0.0009 -gfx950,256,176,5120,15360,32x32,flydsl,bmm,3,37.622,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk3,735.8,2214.38,0.0008 -gfx950,256,192,5120,15360,32x32,flydsl,bmm,3,39.232,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk3,769.76,2134.18,0.0009 -gfx950,256,208,5120,15360,32x32,flydsl,bmm,3,37.565,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk3_xcd,870.91,2239.98,0.0009 -gfx950,256,224,5120,15360,32x32,flydsl,bmm,3,37.394,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk3_xcd,942.18,2261.35,0.0009 -gfx950,256,240,5120,15360,32x32,flydsl,bmm,3,37.961,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk3_xcd,994.4,2238.58,0.0009 -gfx950,256,256,5120,15360,32x32,flydsl,bmm,3,40.796,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb3_sk3_xcd,986.99,2093.25,0.0009 -gfx950,256,288,5120,15360,32x32,flydsl,bmm,2,51.415,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk2_xcd,881.04,1677.17,0.0009 -gfx950,256,320,5120,15360,32x32,flydsl,bmm,2,52.285,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk2,962.64,1665.21,0.0009 -gfx950,256,352,5120,15360,32x32,flydsl,bmm,2,52.777,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk2,1049.04,1665.52,0.0009 -gfx950,256,384,5120,15360,32x32,flydsl,bmm,2,54.529,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk2,1107.64,1627.31,0.0009 -gfx950,256,416,5120,15360,32x32,flydsl,bmm,3,71.329,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb3_sk3,917.31,1255.72,0.0009 -gfx950,256,448,5120,15360,32x32,flydsl,bmm,3,73.425,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk3_xcd,959.68,1231.25,0.0008 -gfx950,256,480,5120,15360,32x32,flydsl,bmm,3,75.025,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk3,1006.3,1216.11,0.0008 -gfx950,256,512,5120,15360,32x32,flydsl,bmm,1,76.875,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1047.55,1197.7,0.0009 -gfx950,256,544,5120,15360,32x32,flydsl,bmm,1,80.486,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1063.08,1154.33,0.0009 -gfx950,256,576,5120,15360,32x32,flydsl,bmm,1,81.236,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1115.24,1153.95,0.0009 -gfx950,256,608,5120,15360,32x32,flydsl,bmm,1,82.373,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1160.94,1148.15,0.0009 -gfx950,256,640,5120,15360,32x32,flydsl,bmm,1,83.052,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,1212.05,1148.81,0.0009 -gfx950,256,672,5120,15360,32x32,flydsl,bmm,1,86.152,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb4_sk1_bd3,1226.85,1117.16,0.0009 -gfx950,256,704,5120,15360,32x32,flydsl,bmm,1,87.422,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb4_sk1_bd3_xcd,1266.62,1110.48,0.0009 -gfx950,256,736,5120,15360,32x32,flydsl,bmm,1,88.795,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1303.71,1102.71,0.0009 -gfx950,256,768,5120,15360,32x32,flydsl,bmm,1,88.425,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1366.09,1116.76,0.0009 -gfx950,256,800,5120,15360,32x32,flydsl,bmm,1,104.371,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3,1205.59,954.13,0.0009 -gfx950,256,832,5120,15360,32x32,flydsl,bmm,1,103.94,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1259.02,966.12,0.0009 -gfx950,256,864,5120,15360,32x32,flydsl,bmm,1,108.345,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1254.29,934.55,0.0009 -gfx950,256,896,5120,15360,32x32,flydsl,bmm,1,106.495,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1323.33,958.61,0.0009 -gfx950,256,928,5120,15360,32x32,flydsl,bmm,1,106.289,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1373.25,968.32,0.0009 -gfx950,256,960,5120,15360,32x32,flydsl,bmm,1,109.481,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1379.18,947.71,0.0009 -gfx950,256,992,5120,15360,32x32,flydsl,bmm,1,109.136,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1429.66,958.35,0.0009 -gfx950,256,1024,5120,15360,32x32,flydsl,bmm,1,109.942,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1464.97,958.93,0.0009 -gfx950,256,1088,5120,15360,32x32,flydsl,bmm,1,111.724,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1531.7,958.57,0.0009 -gfx950,256,1152,5120,15360,32x32,flydsl,bmm,1,112.902,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1604.88,963.35,0.0009 -gfx950,256,1216,5120,15360,32x32,flydsl,bmm,1,128.218,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1491.68,861.29,0.0009 -gfx950,256,1280,5120,15360,32x32,flydsl,bmm,1,129.552,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1554.02,865.31,0.0009 -gfx950,256,1344,5120,15360,32x32,flydsl,bmm,1,132.123,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1599.97,861.1,0.0009 -gfx950,256,1408,5120,15360,32x32,flydsl,bmm,1,131.171,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1688.33,880.08,0.0009 -gfx950,256,1472,5120,15360,32x32,flydsl,bmm,1,135.001,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_sps,1714.99,867.47,0.0009 -gfx950,256,1536,5120,15360,32x32,flydsl,bmm,1,136.605,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1768.54,869.5,0.0009 -gfx950,256,1600,5120,15360,32x32,flydsl,bmm,1,158.741,flydsl_bmm_mxfp8_mfma_t64x256x128_w1x2_nb4_sk1_bd3_xcd,1585.34,758.77,0.0009 -gfx950,256,1664,5120,15360,32x32,flydsl,bmm,1,185.889,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3,1407.96,656.94,0.0009 -gfx950,256,1728,5120,15360,32x32,flydsl,bmm,1,190.34,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1427.92,650.34,0.0009 -gfx950,256,1792,5120,15360,32x32,flydsl,bmm,1,192.912,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1461.07,650.33,0.0009 -gfx950,256,1856,5120,15360,32x32,flydsl,bmm,1,188.779,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3,1546.38,673.4,0.0009 -gfx950,256,1920,5120,15360,32x32,flydsl,bmm,1,194.29,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3,1554.32,662.89,0.0009 -gfx950,256,1984,5120,15360,32x32,flydsl,bmm,1,200.212,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3,1558.63,651.62,0.0009 -gfx950,256,2048,5120,15360,32x32,flydsl,bmm,1,198.116,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3,1625.93,666.94,0.0009 -gfx950,256,4096,5120,15360,32x32,flydsl,bmm,1,337.113,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,1911.07,550.39,0.0009 -gfx950,256,6144,5120,15360,32x32,flydsl,bmm,1,458.686,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb3_sk1_bd1_sps,2106.82,520.96,0.0009 -gfx950,256,8192,5120,15360,32x32,flydsl,bmm,1,597.448,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,2156.65,489.36,0.0009 -gfx950,256,10240,5120,15360,32x32,flydsl,bmm,1,766.754,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_sps,2100.56,450.97,0.0009 -gfx950,256,12288,5120,15360,32x32,flydsl,bmm,1,861.006,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,2244.74,463.63,0.0009 -gfx950,256,14336,5120,15360,32x32,flydsl,bmm,1,1005.311,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_xcd_sps,2242.95,450.21,0.0009 -gfx950,256,16384,5120,15360,32x32,flydsl,bmm,1,1107.698,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,2326.43,456.82,0.0009 -gfx950,256,32768,5120,15360,32x32,flydsl,bmm,1,2209.282,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,2332.87,422.45,0.0009 -gfx950,256,1,8192,1280,32x32,flydsl,bmm,1,4.022,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_sps,5.21,2614.0,0.0009 -gfx950,256,2,8192,1280,32x32,flydsl,bmm,1,3.997,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_sps,10.49,2634.56,0.0008 -gfx950,256,4,8192,1280,32x32,flydsl,bmm,1,4.144,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_sps,20.24,2549.81,0.0008 -gfx950,256,8,8192,1280,32x32,flydsl,bmm,1,4.203,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb7_sk1_nt_sps,39.91,2530.67,0.0006 -gfx950,256,16,8192,1280,32x32,flydsl,bmm,1,4.295,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_sps,78.12,2509.6,0.0007 -gfx950,256,32,8192,1280,32x32,flydsl,bmm,1,4.458,flydsl_bmm_mxfp8_mfma_t32x32x256_w1x2_nb6_sk1_bd3_nt_sps,150.52,2481.31,0.0007 -gfx950,256,48,8192,1280,32x32,flydsl,bmm,1,4.92,flydsl_bmm_mxfp8_mfma_t48x32x256_w1x2_nb6_sk1_bd3_nt_sps,204.61,2306.11,0.0007 -gfx950,256,64,8192,1280,32x32,flydsl,bmm,1,5.352,flydsl_bmm_mxfp8_mfma_t64x32x256_w1x2_nb6_sk1_bd2_nt,250.77,2172.71,0.0006 -gfx950,256,80,8192,1280,32x32,flydsl,bmm,1,6.044,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk1_bd2_sps,277.61,1971.09,0.0008 -gfx950,256,96,8192,1280,32x32,flydsl,bmm,1,6.51,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb4_sk1_xcd_sps,309.27,1873.45,0.0006 -gfx950,256,112,8192,1280,32x32,flydsl,bmm,1,6.577,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb5_sk1_xcd_sps,357.12,1897.34,0.0007 -gfx950,256,128,8192,1280,32x32,flydsl,bmm,1,6.737,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb5_sk1,398.44,1894.29,0.0007 -gfx950,256,144,8192,1280,32x32,flydsl,bmm,1,8.024,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,376.36,1625.8,0.0007 -gfx950,256,160,8192,1280,32x32,flydsl,bmm,1,8.031,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,417.83,1659.74,0.0007 -gfx950,256,176,8192,1280,32x32,flydsl,bmm,1,8.08,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,456.79,1684.58,0.0007 -gfx950,256,192,8192,1280,32x32,flydsl,bmm,1,8.027,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,501.61,1731.0,0.0007 -gfx950,256,208,8192,1280,32x32,flydsl,bmm,1,8.047,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,542.09,1762.02,0.0007 -gfx950,256,224,8192,1280,32x32,flydsl,bmm,1,8.127,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk1,577.99,1779.37,0.0007 -gfx950,256,240,8192,1280,32x32,flydsl,bmm,1,8.304,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk1,606.15,1775.75,0.0007 -gfx950,256,256,8192,1280,32x32,flydsl,bmm,1,8.589,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk1,625.05,1749.65,0.0007 -gfx950,256,288,8192,1280,32x32,flydsl,bmm,1,9.688,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,623.41,1609.65,0.0007 -gfx950,256,320,8192,1280,32x32,flydsl,bmm,1,10.089,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb6_sk1_bd2,665.19,1601.92,0.0007 -gfx950,256,352,8192,1280,32x32,flydsl,bmm,1,10.232,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb6_sk1_bd2,721.43,1634.79,0.0007 -gfx950,256,384,8192,1280,32x32,flydsl,bmm,1,10.576,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2,761.43,1635.21,0.0007 -gfx950,256,416,8192,1280,32x32,flydsl,bmm,1,11.255,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,775.14,1586.94,0.0007 -gfx950,256,448,8192,1280,32x32,flydsl,bmm,1,11.223,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,837.16,1641.97,0.0007 -gfx950,256,480,8192,1280,32x32,flydsl,bmm,1,11.632,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,865.4,1632.91,0.0007 -gfx950,256,512,8192,1280,32x32,flydsl,bmm,1,11.904,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,902.01,1643.19,0.0007 -gfx950,256,544,8192,1280,32x32,flydsl,bmm,1,14.513,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,786.06,1386.78,0.0006 -gfx950,256,576,8192,1280,32x32,flydsl,bmm,1,14.314,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,843.91,1445.7,0.0007 -gfx950,256,608,8192,1280,32x32,flydsl,bmm,1,14.566,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,875.4,1459.6,0.0007 -gfx950,256,640,8192,1280,32x32,flydsl,bmm,1,14.688,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,913.79,1486.01,0.0007 -gfx950,256,672,8192,1280,32x32,flydsl,bmm,1,14.761,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,954.74,1517.05,0.0007 -gfx950,256,704,8192,1280,32x32,flydsl,bmm,1,14.703,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1004.14,1561.55,0.0007 -gfx950,256,736,8192,1280,32x32,flydsl,bmm,1,15.089,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1022.92,1559.14,0.0007 -gfx950,256,768,8192,1280,32x32,flydsl,bmm,1,15.213,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1058.69,1583.66,0.0007 -gfx950,256,800,8192,1280,32x32,flydsl,bmm,1,17.446,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,961.67,1413.46,0.0007 -gfx950,256,832,8192,1280,32x32,flydsl,bmm,1,17.222,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd,1013.11,1464.7,0.0007 -gfx950,256,864,8192,1280,32x32,flydsl,bmm,1,17.281,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1048.54,1492.55,0.0007 -gfx950,256,896,8192,1280,32x32,flydsl,bmm,1,17.493,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd,1074.17,1506.81,0.0007 -gfx950,256,928,8192,1280,32x32,flydsl,bmm,1,18.611,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb2_sk1_sps,1045.71,1446.76,0.0007 -gfx950,256,960,8192,1280,32x32,flydsl,bmm,1,18.558,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1084.86,1481.41,0.0007 -gfx950,256,992,8192,1280,32x32,flydsl,bmm,1,18.653,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1115.31,1504.24,0.0007 -gfx950,256,1024,8192,1280,32x32,flydsl,bmm,1,18.871,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1137.95,1516.84,0.0007 -gfx950,256,1088,8192,1280,32x32,flydsl,bmm,1,24.142,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,945.13,1232.64,0.0007 -gfx950,256,1152,8192,1280,32x32,flydsl,bmm,1,24.002,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,1006.54,1287.0,0.0007 -gfx950,256,1216,8192,1280,32x32,flydsl,bmm,1,24.458,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1_xcd,1042.68,1309.37,0.0007 -gfx950,256,1280,8192,1280,32x32,flydsl,bmm,1,24.341,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd1_xcd,1102.81,1362.19,0.0007 -gfx950,256,1344,8192,1280,32x32,flydsl,bmm,1,24.044,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1172.28,1426.17,0.0007 -gfx950,256,1408,8192,1280,32x32,flydsl,bmm,1,24.223,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1218.98,1462.36,0.0007 -gfx950,256,1472,8192,1280,32x32,flydsl,bmm,1,24.976,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1236.0,1463.67,0.0007 -gfx950,256,1536,8192,1280,32x32,flydsl,bmm,1,25.409,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1267.75,1483.31,0.0007 -gfx950,256,1600,8192,1280,32x32,flydsl,bmm,1,29.378,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1142.18,1321.5,0.0007 -gfx950,256,1664,8192,1280,32x32,flydsl,bmm,1,29.595,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_sps,1179.15,1350.08,0.0007 -gfx950,256,1728,8192,1280,32x32,flydsl,bmm,1,28.356,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1,1278.01,1449.04,0.0007 -gfx950,256,1792,8192,1280,32x32,flydsl,bmm,1,28.793,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb3_sk1_bd1,1305.2,1466.37,0.0007 -gfx950,256,1856,8192,1280,32x32,flydsl,bmm,1,31.383,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd,1240.27,1381.48,0.0007 -gfx950,256,1920,8192,1280,32x32,flydsl,bmm,1,31.225,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd,1289.53,1424.75,0.0007 -gfx950,256,1984,8192,1280,32x32,flydsl,bmm,1,32.141,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1,1294.52,1419.38,0.0007 -gfx950,256,2048,8192,1280,32x32,flydsl,bmm,1,32.15,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1,1335.93,1454.26,0.0007 -gfx950,256,4096,8192,1280,32x32,flydsl,bmm,1,59.666,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1439.66,1391.27,0.0007 -gfx950,256,6144,8192,1280,32x32,flydsl,bmm,1,85.255,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1511.33,1398.97,0.0007 -gfx950,256,8192,8192,1280,32x32,flydsl,bmm,1,110.41,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1556.01,1408.64,0.0007 -gfx950,256,10240,8192,1280,32x32,flydsl,bmm,1,134.28,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1599.25,1428.24,0.0007 -gfx950,256,12288,8192,1280,32x32,flydsl,bmm,1,159.915,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1611.47,1426.02,0.0007 -gfx950,256,14336,8192,1280,32x32,flydsl,bmm,1,185.492,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1620.81,1424.86,0.0007 -gfx950,256,16384,8192,1280,32x32,flydsl,bmm,1,209.799,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1637.74,1432.6,0.0007 -gfx950,256,32768,8192,1280,32x32,flydsl,bmm,1,432.658,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_sps,1588.31,1365.1,0.0007 -gfx950,256,1,16384,1280,32x32,flydsl,bmm,1,5.914,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb5_sk1_bd3_sps,7.09,3555.35,0.0005 -gfx950,256,2,16384,1280,32x32,flydsl,bmm,1,5.865,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb5_sk1_bd3_nt_sps,14.3,3590.57,0.0004 -gfx950,256,4,16384,1280,32x32,flydsl,bmm,1,5.859,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb5_sk1_bd3_sps,28.63,3605.96,0.0008 -gfx950,256,8,16384,1280,32x32,flydsl,bmm,1,5.987,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb5_sk1_bd3_sps,56.05,3551.85,0.0007 -gfx950,256,16,16384,1280,32x32,flydsl,bmm,1,6.129,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb5_sk1_bd3_sps,109.5,3514.18,0.0007 -gfx950,256,32,16384,1280,32x32,flydsl,bmm,1,6.588,flydsl_bmm_mxfp8_mfma_t32x32x128_w2x1_nb8_sk1_sps,203.74,3352.2,0.0007 -gfx950,256,48,16384,1280,32x32,flydsl,bmm,1,6.848,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_nt_sps,293.98,3304.16,0.0007 -gfx950,256,64,16384,1280,32x32,flydsl,bmm,1,7.189,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb6_sk1_bd2_nt,373.38,3223.33,0.0006 -gfx950,256,80,16384,1280,32x32,flydsl,bmm,1,8.003,flydsl_bmm_mxfp8_mfma_t96x64x256_w1x4_nb6_sk1_bd2_nt,419.26,2963.69,0.0007 -gfx950,256,96,16384,1280,32x32,flydsl,bmm,1,8.207,flydsl_bmm_mxfp8_mfma_t96x64x256_w1x4_nb4_sk1_bd1_nt_sps,490.64,2956.69,0.0007 -gfx950,256,112,16384,1280,32x32,flydsl,bmm,1,8.715,flydsl_bmm_mxfp8_mfma_t112x64x256_w1x4_nb4_sk1_bd1_nt_sps,539.05,2846.94,0.0007 -gfx950,256,128,16384,1280,32x32,flydsl,bmm,1,9.173,flydsl_bmm_mxfp8_mfma_t128x64x256_w1x4_nb4_sk1_bd1_nt_sps,585.3,2764.25,0.0007 -gfx950,256,144,16384,1280,32x32,flydsl,bmm,1,12.756,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,473.47,2030.42,0.0007 -gfx950,256,160,16384,1280,32x32,flydsl,bmm,1,9.982,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2,672.28,2649.3,0.0007 -gfx950,256,176,16384,1280,32x32,flydsl,bmm,1,10.427,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,707.96,2588.6,0.0007 -gfx950,256,192,16384,1280,32x32,flydsl,bmm,1,10.435,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,771.76,2638.99,0.0007 -gfx950,256,208,16384,1280,32x32,flydsl,bmm,1,12.756,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,683.9,2201.42,0.0007 -gfx950,256,224,16384,1280,32x32,flydsl,bmm,1,11.65,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,806.45,2457.29,0.0007 -gfx950,256,240,16384,1280,32x32,flydsl,bmm,1,12.248,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,821.86,2381.81,0.0007 -gfx950,256,256,16384,1280,32x32,flydsl,bmm,1,12.716,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd,844.38,2337.03,0.0007 -gfx950,256,288,16384,1280,32x32,flydsl,bmm,1,14.549,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,830.27,2117.63,0.0007 -gfx950,256,320,16384,1280,32x32,flydsl,bmm,1,15.357,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb3_sk1_bd1_xcd,873.97,2077.21,0.0007 -gfx950,256,352,16384,1280,32x32,flydsl,bmm,1,15.333,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb3_sk1_bd1,962.89,2151.63,0.0007 -gfx950,256,384,16384,1280,32x32,flydsl,bmm,1,15.876,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb3_sk1_bd1_xcd,1014.52,2146.8,0.0007 -gfx950,256,416,16384,1280,32x32,flydsl,bmm,1,18.502,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb2_sk1_sps,943.07,1901.06,0.0007 -gfx950,256,448,16384,1280,32x32,flydsl,bmm,1,18.557,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1012.6,1954.19,0.0007 -gfx950,256,480,16384,1280,32x32,flydsl,bmm,1,19.014,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1058.81,1964.53,0.0007 -gfx950,256,512,16384,1280,32x32,flydsl,bmm,1,19.425,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1105.5,1979.11,0.0007 -gfx950,256,544,16384,1280,32x32,flydsl,bmm,1,24.24,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd_sps,941.31,1631.04,0.0007 -gfx950,256,576,16384,1280,32x32,flydsl,bmm,1,23.728,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,1018.15,1712.15,0.0007 -gfx950,256,608,16384,1280,32x32,flydsl,bmm,1,25.185,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,1012.57,1656.45,0.0007 -gfx950,256,640,16384,1280,32x32,flydsl,bmm,1,25.813,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,1039.94,1658.43,0.0007 -gfx950,256,672,16384,1280,32x32,flydsl,bmm,1,27.438,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,1027.27,1599.96,0.0007 -gfx950,256,704,16384,1280,32x32,flydsl,bmm,1,28.043,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1052.96,1604.33,0.0007 -gfx950,256,736,16384,1280,32x32,flydsl,bmm,1,28.105,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1098.38,1639.58,0.0007 -gfx950,256,768,16384,1280,32x32,flydsl,bmm,1,28.628,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd_sps,1125.22,1647.77,0.0007 -gfx950,256,800,16384,1280,32x32,flydsl,bmm,1,33.603,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,998.55,1436.24,0.0007 -gfx950,256,832,16384,1280,32x32,flydsl,bmm,1,33.685,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1035.96,1465.13,0.0007 -gfx950,256,864,16384,1280,32x32,flydsl,bmm,1,33.726,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1074.5,1495.7,0.0007 -gfx950,256,896,16384,1280,32x32,flydsl,bmm,1,34.222,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,1098.16,1505.91,0.0007 -gfx950,256,928,16384,1280,32x32,flydsl,bmm,1,35.926,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_sps,1083.41,1464.82,0.0007 -gfx950,256,960,16384,1280,32x32,flydsl,bmm,1,36.858,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_sps,1092.44,1457.39,0.0007 -gfx950,256,992,16384,1280,32x32,flydsl,bmm,1,37.456,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,1110.85,1463.26,0.0007 -gfx950,256,1024,16384,1280,32x32,flydsl,bmm,1,37.459,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,1146.57,1492.24,0.0007 -gfx950,256,1088,16384,1280,32x32,flydsl,bmm,1,42.534,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd_sps,1072.89,1365.5,0.0007 -gfx950,256,1152,16384,1280,32x32,flydsl,bmm,1,43.201,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd_sps,1118.45,1394.9,0.0007 -gfx950,256,1216,16384,1280,32x32,flydsl,bmm,1,44.995,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,1133.53,1387.79,0.0007 -gfx950,256,1280,16384,1280,32x32,flydsl,bmm,1,45.525,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3,1179.3,1419.56,0.0007 -gfx950,256,1344,16384,1280,32x32,flydsl,bmm,1,49.539,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd3,1137.93,1348.57,0.0007 -gfx950,256,1408,16384,1280,32x32,flydsl,bmm,1,50.959,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1158.89,1353.79,0.0007 -gfx950,256,1472,16384,1280,32x32,flydsl,bmm,1,51.694,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3,1194.34,1376.75,0.0007 -gfx950,256,1536,16384,1280,32x32,flydsl,bmm,1,52.161,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3,1235.12,1406.26,0.0007 -gfx950,256,1600,16384,1280,32x32,flydsl,bmm,1,55.877,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd_sps,1201.02,1351.78,0.0007 -gfx950,256,1664,16384,1280,32x32,flydsl,bmm,1,56.002,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1246.26,1387.7,0.0007 -gfx950,256,1728,16384,1280,32x32,flydsl,bmm,1,56.457,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd_sps,1283.77,1415.18,0.0007 -gfx950,256,1792,16384,1280,32x32,flydsl,bmm,1,57.426,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd_sps,1308.85,1429.28,0.0007 -gfx950,256,1856,16384,1280,32x32,flydsl,bmm,1,58.866,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1322.44,1431.38,0.0007 -gfx950,256,1920,16384,1280,32x32,flydsl,bmm,1,60.212,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1337.45,1435.6,0.0007 -gfx950,256,1984,16384,1280,32x32,flydsl,bmm,1,61.584,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_sps,1351.25,1439.06,0.0007 -gfx950,256,2048,16384,1280,32x32,flydsl,bmm,1,62.855,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1,1366.63,1444.67,0.0007 -gfx950,256,4096,16384,1280,32x32,flydsl,bmm,1,112.18,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1531.45,1431.77,0.0007 -gfx950,256,6144,16384,1280,32x32,flydsl,bmm,1,162.408,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1586.73,1418.82,0.0007 -gfx950,256,8192,16384,1280,32x32,flydsl,bmm,1,215.486,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1594.52,1393.32,0.0007 -gfx950,256,10240,16384,1280,32x32,flydsl,bmm,1,262.16,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1638.3,1411.56,0.0007 -gfx950,256,12288,16384,1280,32x32,flydsl,bmm,1,313.375,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1644.66,1403.64,0.0007 -gfx950,256,14336,16384,1280,32x32,flydsl,bmm,1,357.457,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1682.15,1425.84,0.0007 -gfx950,256,16384,16384,1280,32x32,flydsl,bmm,1,432.737,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1588.02,1339.13,0.0007 -gfx950,256,32768,16384,1280,32x32,flydsl,bmm,1,810.451,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_sps,1695.83,1404.14,0.0007 -gfx950,256,1,25600,6144,32x32,flydsl,bmm,1,25.7,flydsl_bmm_mxfp8_mfma_t16x128x512_w1x4_nb7_sk1_bd3_nt_xcd_sps,12.24,6128.29,0.0009 -gfx950,256,2,25600,6144,32x32,flydsl,bmm,1,25.701,flydsl_bmm_mxfp8_mfma_t16x128x512_w1x4_nb7_sk1_bd3_nt_xcd_sps,24.48,6130.42,0.0007 -gfx950,256,4,25600,6144,32x32,flydsl,bmm,1,25.796,flydsl_bmm_mxfp8_mfma_t16x128x512_w1x4_nb6_sk1_bd3_nt_xcd_sps,48.78,6112.27,0.0008 -gfx950,256,8,25600,6144,32x32,flydsl,bmm,1,25.902,flydsl_bmm_mxfp8_mfma_t16x128x512_w1x4_nb5_sk1_bd3_nt_xcd_sps,97.16,6096.17,0.0008 -gfx950,256,16,25600,6144,32x32,flydsl,bmm,1,26.101,flydsl_bmm_mxfp8_mfma_t16x128x512_w1x4_nb5_sk1_bd3_nt_xcd,192.83,6067.14,0.0008 -gfx950,256,32,25600,6144,32x32,flydsl,bmm,1,26.978,flydsl_bmm_mxfp8_mfma_t32x128x256_w1x4_nb8_sk1_bd3_nt_xcd,373.13,5904.08,0.0009 -gfx950,256,48,25600,6144,32x32,flydsl,bmm,1,29.018,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb7_sk1_bd3_nt_xcd,520.35,5520.78,0.0008 -gfx950,256,64,25600,6144,32x32,flydsl,bmm,1,30.386,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb7_sk1_bd2_nt_xcd,662.55,5302.45,0.0008 -gfx950,256,80,25600,6144,32x32,flydsl,bmm,1,33.265,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb7_sk1_bd2_nt_xcd,756.53,4871.3,0.0008 -gfx950,256,96,25600,6144,32x32,flydsl,bmm,1,34.622,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb6_sk1_bd2_nt_xcd,872.26,4706.98,0.0008 -gfx950,256,112,25600,6144,32x32,flydsl,bmm,1,37.693,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_nt,934.72,4347.88,0.0008 -gfx950,256,128,25600,6144,32x32,flydsl,bmm,1,39.705,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb5_sk1_bd2_nt,1014.12,4150.74,0.0008 -gfx950,256,144,25600,6144,32x32,flydsl,bmm,1,49.486,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb5_sk1_bd2_nt,915.38,3348.92,0.0008 -gfx950,256,160,25600,6144,32x32,flydsl,bmm,1,49.37,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd2_nt,1019.48,3375.44,0.0008 -gfx950,256,176,25600,6144,32x32,flydsl,bmm,1,49.701,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd2_nt,1113.97,3371.52,0.0008 -gfx950,256,192,25600,6144,32x32,flydsl,bmm,1,50.761,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd2_nt_xcd,1189.84,3319.2,0.0008 -gfx950,256,208,25600,6144,32x32,flydsl,bmm,1,59.79,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2_xcd,1094.35,2833.36,0.0008 -gfx950,256,224,25600,6144,32x32,flydsl,bmm,1,60.008,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1174.24,2838.41,0.0008 -gfx950,256,240,25600,6144,32x32,flydsl,bmm,1,59.817,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1262.15,2862.89,0.0008 -gfx950,256,256,25600,6144,32x32,flydsl,bmm,1,61.673,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2_xcd,1305.77,2791.65,0.0008 -gfx950,256,288,25600,6144,32x32,flydsl,bmm,1,75.58,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1198.7,2302.35,0.0008 -gfx950,256,320,25600,6144,32x32,flydsl,bmm,1,77.068,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1306.16,2281.76,0.0008 -gfx950,256,352,25600,6144,32x32,flydsl,bmm,1,77.58,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1427.3,2290.46,0.0008 -gfx950,256,384,25600,6144,32x32,flydsl,bmm,1,80.266,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,1504.94,2236.73,0.0008 -gfx950,256,416,25600,6144,32x32,flydsl,bmm,1,110.327,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1186.13,1643.98,0.0008 -gfx950,256,448,25600,6144,32x32,flydsl,bmm,1,112.831,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1249.02,1623.8,0.0008 -gfx950,256,480,25600,6144,32x32,flydsl,bmm,1,113.709,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2_xcd,1327.91,1627.47,0.0008 -gfx950,256,512,25600,6144,32x32,flydsl,bmm,1,114.384,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1408.08,1633.96,0.0008 -gfx950,256,544,25600,6144,32x32,flydsl,bmm,1,123.559,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1384.99,1527.53,0.0008 -gfx950,256,576,25600,6144,32x32,flydsl,bmm,1,124.649,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1453.63,1528.94,0.0008 -gfx950,256,608,25600,6144,32x32,flydsl,bmm,1,124.172,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1540.29,1549.64,0.0008 -gfx950,256,640,25600,6144,32x32,flydsl,bmm,1,125.895,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2_xcd,1599.17,1543.06,0.0008 -gfx950,256,672,25600,6144,32x32,flydsl,bmm,1,145.093,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1456.95,1351.58,0.0008 -gfx950,256,704,25600,6144,32x32,flydsl,bmm,1,146.672,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1509.89,1349.57,0.0008 -gfx950,256,736,25600,6144,32x32,flydsl,bmm,1,147.897,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1565.45,1350.85,0.0008 -gfx950,256,768,25600,6144,32x32,flydsl,bmm,1,149.381,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1617.29,1349.76,0.0008 -gfx950,256,800,25600,6144,32x32,flydsl,bmm,1,161.028,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1562.82,1263.56,0.0008 -gfx950,256,832,25600,6144,32x32,flydsl,bmm,1,160.734,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1628.31,1277.33,0.0008 -gfx950,256,864,25600,6144,32x32,flydsl,bmm,1,162.841,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1669.06,1272.11,0.0008 -gfx950,256,896,25600,6144,32x32,flydsl,bmm,1,163.067,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1728.47,1281.63,0.0008 -gfx950,256,928,25600,6144,32x32,flydsl,bmm,1,163.663,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1783.69,1288.22,0.0008 -gfx950,256,960,25600,6144,32x32,flydsl,bmm,1,164.53,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1835.47,1292.62,0.0008 -gfx950,256,992,25600,6144,32x32,flydsl,bmm,1,206.243,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1513.05,1040.11,0.0008 -gfx950,256,1024,25600,6144,32x32,flydsl,bmm,1,208.14,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1547.62,1039.48,0.0008 -gfx950,256,1088,25600,6144,32x32,flydsl,bmm,1,206.658,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_sps,1656.15,1064.75,0.0008 -gfx950,256,1152,25600,6144,32x32,flydsl,bmm,1,217.731,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd_sps,1664.39,1027.51,0.0008 -gfx950,256,1216,25600,6144,32x32,flydsl,bmm,1,227.104,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1684.34,1001.32,0.0008 -gfx950,256,1280,25600,6144,32x32,flydsl,bmm,1,225.749,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1783.63,1023.64,0.0008 -gfx950,256,1344,25600,6144,32x32,flydsl,bmm,1,236.805,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,1785.38,991.4,0.0008 -gfx950,256,1408,25600,6144,32x32,flydsl,bmm,1,271.993,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,1628.42,876.68,0.0008 -gfx950,256,1472,25600,6144,32x32,flydsl,bmm,1,270.64,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,1710.95,894.67,0.0008 -gfx950,256,1536,25600,6144,32x32,flydsl,bmm,1,274.121,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,1762.67,896.74,0.0008 -gfx950,256,1600,25600,6144,32x32,flydsl,bmm,1,294.884,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_sps,1706.83,846.09,0.0008 -gfx950,256,1664,25600,6144,32x32,flydsl,bmm,1,292.849,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_sps,1787.43,864.54,0.0008 -gfx950,256,1728,25600,6144,32x32,flydsl,bmm,1,305.248,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1780.78,841.49,0.0008 -gfx950,256,1792,25600,6144,32x32,flydsl,bmm,1,307.011,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1836.14,848.65,0.0008 -gfx950,256,1856,25600,6144,32x32,flydsl,bmm,1,322.14,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1812.4,820.22,0.0008 -gfx950,256,1920,25600,6144,32x32,flydsl,bmm,1,320.488,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1884.56,835.94,0.0008 -gfx950,256,1984,25600,6144,32x32,flydsl,bmm,1,351.489,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2,1775.62,772.69,0.0008 -gfx950,256,2048,25600,6144,32x32,flydsl,bmm,1,357.853,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2,1800.31,769.24,0.0008 -gfx950,256,4096,25600,6144,32x32,flydsl,bmm,1,650.489,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1980.8,604.33,0.0008 -gfx950,256,6144,25600,6144,32x32,flydsl,bmm,1,936.167,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,2064.52,545.78,0.0008 -gfx950,256,8192,25600,6144,32x32,flydsl,bmm,1,1227.034,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,2100.17,512.43,0.0008 -gfx950,256,10240,25600,6144,32x32,flydsl,bmm,1,1512.853,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,2129.24,493.51,0.0008 -gfx950,256,12288,25600,6144,32x32,flydsl,bmm,1,1813.432,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,2131.58,476.69,0.0008 -gfx950,256,14336,25600,6144,32x32,flydsl,bmm,1,2138.714,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,2108.61,459.28,0.0008 -gfx950,256,16384,25600,6144,32x32,flydsl,bmm,1,2404.49,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,2143.47,457.52,0.0008 -gfx950,256,32768,25600,6144,32x32,flydsl,bmm,1,4950.79,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,2082.08,412.62,0.0008 -gfx950,256,1,32768,1280,32x32,flydsl,bmm,1,8.634,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk1_bd3_nt_sps,9.72,4870.25,0.0008 -gfx950,256,2,32768,1280,32x32,flydsl,bmm,1,8.643,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk1_bd3_nt_sps,19.41,4873.29,0.0006 -gfx950,256,4,32768,1280,32x32,flydsl,bmm,1,8.65,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk1_bd3_nt_sps,38.79,4884.38,0.0007 -gfx950,256,8,32768,1280,32x32,flydsl,bmm,1,8.741,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk1_bd3_nt_sps,76.78,4864.43,0.0007 -gfx950,256,16,32768,1280,32x32,flydsl,bmm,1,8.846,flydsl_bmm_mxfp8_mfma_t16x64x128_w1x2_nb6_sk1_bd3_nt_sps,151.72,4866.82,0.0007 -gfx950,256,32,32768,1280,32x32,flydsl,bmm,1,9.57,flydsl_bmm_mxfp8_mfma_t32x64x128_w1x2_nb5_sk1_bd3_nt,280.5,4610.58,0.0006 -gfx950,256,48,32768,1280,32x32,flydsl,bmm,1,10.125,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb7_sk1_bd2_nt,397.67,4463.4,0.0007 -gfx950,256,64,32768,1280,32x32,flydsl,bmm,1,10.435,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb9_sk1_bd2_nt,514.5,4433.49,0.0007 -gfx950,256,80,32768,1280,32x32,flydsl,bmm,1,11.035,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb9_sk1_bd2_nt,608.15,4289.32,0.0007 -gfx950,256,96,32768,1280,32x32,flydsl,bmm,1,11.029,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb9_sk1_bd1_nt,730.19,4388.72,0.0007 -gfx950,256,112,32768,1280,32x32,flydsl,bmm,1,12.726,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_nt,738.28,3887.49,0.0007 -gfx950,256,128,32768,1280,32x32,flydsl,bmm,1,13.604,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_nt,789.31,3715.3,0.0007 -gfx950,256,144,32768,1280,32x32,flydsl,bmm,1,15.023,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd2_nt,804.1,3435.59,0.0007 -gfx950,256,160,32768,1280,32x32,flydsl,bmm,1,15.473,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb3_sk1_bd2_nt,867.43,3404.69,0.0007 -gfx950,256,176,32768,1280,32x32,flydsl,bmm,1,15.707,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb3_sk1_bd2_nt,939.98,3422.17,0.0007 -gfx950,256,192,32768,1280,32x32,flydsl,bmm,1,16.311,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb3_sk1_bd2_nt_xcd,987.41,3360.85,0.0007 -gfx950,256,208,32768,1280,32x32,flydsl,bmm,1,18.587,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1_nt,938.72,3006.87,0.0007 -gfx950,256,224,32768,1280,32x32,flydsl,bmm,1,18.848,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1_nt,996.96,3022.1,0.0007 -gfx950,256,240,32768,1280,32x32,flydsl,bmm,1,19.275,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1_nt,1044.47,3010.53,0.0007 -gfx950,256,256,32768,1280,32x32,flydsl,bmm,1,19.704,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1_nt,1089.88,2999.37,0.0007 -gfx950,256,288,32768,1280,32x32,flydsl,bmm,1,26.285,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2,919.13,2329.81,0.0007 -gfx950,256,320,32768,1280,32x32,flydsl,bmm,1,28.073,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,956.2,2257.59,0.0007 -gfx950,256,352,32768,1280,32x32,flydsl,bmm,1,29.131,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1013.64,2249.08,0.0007 -gfx950,256,384,32768,1280,32x32,flydsl,bmm,1,29.832,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd_sps,1079.79,2267.92,0.0007 -gfx950,256,416,32768,1280,32x32,flydsl,bmm,1,34.873,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1,1000.67,2001.42,0.0007 -gfx950,256,448,32768,1280,32x32,flydsl,bmm,1,36.62,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_sps,1026.24,1964.37,0.0007 -gfx950,256,480,32768,1280,32x32,flydsl,bmm,1,38.003,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,1059.53,1949.19,0.0007 -gfx950,256,512,32768,1280,32x32,flydsl,bmm,1,38.617,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,1112.19,1973.58,0.0007 -gfx950,256,544,32768,1280,32x32,flydsl,bmm,1,45.436,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_sps,1004.36,1724.49,0.0007 -gfx950,256,576,32768,1280,32x32,flydsl,bmm,1,45.633,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1058.84,1763.91,0.0007 -gfx950,256,608,32768,1280,32x32,flydsl,bmm,1,46.5,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd,1096.84,1777.05,0.0007 -gfx950,256,640,32768,1280,32x32,flydsl,bmm,1,47.047,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd,1141.13,1801.84,0.0007 -gfx950,256,672,32768,1280,32x32,flydsl,bmm,1,52.796,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,1067.73,1646.18,0.0007 -gfx950,256,704,32768,1280,32x32,flydsl,bmm,1,54.197,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd_sps,1089.65,1643.09,0.0007 -gfx950,256,736,32768,1280,32x32,flydsl,bmm,1,54.421,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1134.5,1675.65,0.0007 -gfx950,256,768,32768,1280,32x32,flydsl,bmm,1,55.569,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1159.37,1679.53,0.0007 -gfx950,256,800,32768,1280,32x32,flydsl,bmm,1,62.427,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd_sps,1074.99,1529.28,0.0007 -gfx950,256,832,32768,1280,32x32,flydsl,bmm,1,62.507,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1116.57,1561.56,0.0007 -gfx950,256,864,32768,1280,32x32,flydsl,bmm,1,62.859,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1153.03,1586.86,0.0007 -gfx950,256,896,32768,1280,32x32,flydsl,bmm,1,61.978,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd_sps,1212.71,1643.91,0.0007 -gfx950,256,928,32768,1280,32x32,flydsl,bmm,1,68.646,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_sps,1134.03,1515.41,0.0007 -gfx950,256,960,32768,1280,32x32,flydsl,bmm,1,70.67,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2,1139.54,1502.28,0.0007 -gfx950,256,992,32768,1280,32x32,flydsl,bmm,1,71.674,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3,1161.01,1511.07,0.0007 -gfx950,256,1024,32768,1280,32x32,flydsl,bmm,1,71.94,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3,1194.04,1535.22,0.0007 -gfx950,256,1088,32768,1280,32x32,flydsl,bmm,1,73.928,flydsl_bmm_mxfp8_mfma_t192x256x128_w2x4_nb2_sk1_xcd_sps,1234.55,1551.82,0.0007 -gfx950,256,1152,32768,1280,32x32,flydsl,bmm,1,74.161,flydsl_bmm_mxfp8_mfma_t192x256x128_w2x4_nb2_sk1_xcd,1303.06,1604.64,0.0007 -gfx950,256,1216,32768,1280,32x32,flydsl,bmm,1,80.338,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1_xcd,1269.7,1534.53,0.0007 -gfx950,256,1280,32768,1280,32x32,flydsl,bmm,1,80.334,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1_xcd,1336.6,1587.87,0.0007 -gfx950,256,1344,32768,1280,32x32,flydsl,bmm,1,79.885,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb3_sk1_bd1_xcd,1411.31,1650.35,0.0007 -gfx950,256,1408,32768,1280,32x32,flydsl,bmm,1,87.166,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1355.02,1561.59,0.0007 -gfx950,256,1472,32768,1280,32x32,flydsl,bmm,1,87.257,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1415.13,1608.99,0.0007 -gfx950,256,1536,32768,1280,32x32,flydsl,bmm,1,87.39,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1474.41,1655.51,0.0007 -gfx950,256,1600,32768,1280,32x32,flydsl,bmm,1,105.648,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1270.42,1409.9,0.0007 -gfx950,256,1664,32768,1280,32x32,flydsl,bmm,1,105.547,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1322.5,1451.79,0.0007 -gfx950,256,1728,32768,1280,32x32,flydsl,bmm,1,106.138,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd_sps,1365.73,1484.03,0.0007 -gfx950,256,1792,32768,1280,32x32,flydsl,bmm,1,106.55,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd_sps,1410.83,1518.44,0.0007 -gfx950,256,1856,32768,1280,32x32,flydsl,bmm,1,110.61,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1407.58,1501.39,0.0007 -gfx950,256,1920,32768,1280,32x32,flydsl,bmm,1,113.927,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_sps,1413.72,1495.23,0.0007 -gfx950,256,1984,32768,1280,32x32,flydsl,bmm,1,115.979,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_sps,1435.0,1505.67,0.0007 -gfx950,256,2048,32768,1280,32x32,flydsl,bmm,1,117.444,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1462.82,1523.33,0.0007 -gfx950,256,4096,32768,1280,32x32,flydsl,bmm,1,221.83,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1548.93,1423.73,0.0007 -gfx950,256,6144,32768,1280,32x32,flydsl,bmm,1,323.135,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1594.99,1401.11,0.0007 -gfx950,256,8192,32768,1280,32x32,flydsl,bmm,1,424.134,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1620.23,1390.29,0.0007 -gfx950,256,10240,32768,1280,32x32,flydsl,bmm,1,521.15,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1648.26,1394.2,0.0007 -gfx950,256,12288,32768,1280,32x32,flydsl,bmm,1,619.006,flydsl_bmm_mxfp8_mfma_t256x128x128_w1x2_nb2_sk1_bd1_xcd_sps,1665.24,1395.0,0.0007 -gfx950,256,14336,32768,1280,32x32,flydsl,bmm,1,713.658,flydsl_bmm_mxfp8_mfma_t256x128x128_w1x2_nb2_sk1_bd1_sps,1685.11,1401.84,0.0007 -gfx950,256,16384,32768,1280,32x32,flydsl,bmm,1,815.537,flydsl_bmm_mxfp8_mfma_t256x128x128_w1x2_nb2_sk1_bd1_xcd_sps,1685.26,1394.61,0.0007 -gfx950,256,32768,32768,1280,32x32,flydsl,bmm,1,1604.28,flydsl_bmm_mxfp8_mfma_t256x128x128_w1x2_nb2_sk1_bd1_xcd_sps,1713.4,1391.73,0.0007 +gfx950,256,1,512,5120,32x32,flydsl,bmm,4,3.9788,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_xcd_sps,1.32,660.4,0.0 +gfx950,256,2,512,5120,32x32,flydsl,bmm,4,3.8612,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_sps,2.72,682.1,0.0 +gfx950,256,4,512,5120,32x32,flydsl,bmm,4,3.9041,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_xcd_sps,5.37,677.75,0.0 +gfx950,256,8,512,5120,32x32,flydsl,bmm,4,3.9128,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_xcd_sps,10.72,682.53,0.0007 +gfx950,256,16,512,5120,32x32,flydsl,bmm,4,3.8753,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_sps,21.65,701.82,0.0005 +gfx950,256,32,512,5120,32x32,flydsl,bmm,4,4.6838,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk4_sps,35.82,601.66,0.0007 +gfx950,256,48,512,5120,32x32,flydsl,bmm,4,4.9983,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk4_sps,50.35,583.47,0.0008 +gfx950,256,64,512,5120,32x32,flydsl,bmm,4,5.2093,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4_xcd_sps,64.41,578.71,0.0008 +gfx950,256,80,512,5120,32x32,flydsl,bmm,4,5.4275,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4_xcd_sps,77.28,573.55,0.0007 +gfx950,256,96,512,5120,32x32,flydsl,bmm,4,5.6279,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4_xcd_sps,89.43,570.6,0.0007 +gfx950,256,112,512,5120,32x32,flydsl,bmm,4,5.8438,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4_xcd_sps,100.48,566.34,0.0007 +gfx950,256,128,512,5120,32x32,flydsl,bmm,4,5.9966,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4_xcd_sps,111.91,568.3,0.0007 +gfx950,256,144,512,5120,32x32,flydsl,bmm,4,6.3166,flydsl_bmm_mxfp8_mfma_t64x32x128_w4x1_nb5_sk4,119.52,555.07,0.0007 +gfx950,256,160,512,5120,32x32,flydsl,bmm,4,6.3713,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4_xcd,131.66,565.74,0.0007 +gfx950,256,176,512,5120,32x32,flydsl,bmm,4,6.4872,flydsl_bmm_mxfp8_mfma_t64x32x128_w4x1_nb5_sk4,142.24,570.78,0.0006 +gfx950,256,192,512,5120,32x32,flydsl,bmm,4,6.7194,flydsl_bmm_mxfp8_mfma_t64x32x128_w4x1_nb5_sk4,149.81,565.69,0.0007 +gfx950,256,208,512,5120,32x32,flydsl,bmm,4,6.7394,flydsl_bmm_mxfp8_mfma_t64x32x256_w4x1_nb5_sk4,161.81,578.6,0.0007 +gfx950,256,224,512,5120,32x32,flydsl,bmm,4,6.8302,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4,171.94,585.3,0.0007 +gfx950,256,240,512,5120,32x32,flydsl,bmm,2,6.936,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk2_xcd_sps,181.41,590.54,0.0007 +gfx950,256,256,512,5120,32x32,flydsl,bmm,4,7.0811,flydsl_bmm_mxfp8_mfma_t64x32x128_w4x1_nb5_sk4_xcd,189.54,592.32,0.0007 +gfx950,256,288,512,5120,32x32,flydsl,bmm,1,8.1104,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3,186.17,541.39,0.0007 +gfx950,256,320,512,5120,32x32,flydsl,bmm,1,8.0166,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3,209.28,572.25,0.0007 +gfx950,256,352,512,5120,32x32,flydsl,bmm,4,8.1366,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x2_nb5_sk4,226.81,587.98,0.0007 +gfx950,256,384,512,5120,32x32,flydsl,bmm,1,8.0223,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3,250.96,620.86,0.0007 +gfx950,256,416,512,5120,32x32,flydsl,bmm,1,8.4086,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3,259.38,615.72,0.0006 +gfx950,256,448,512,5120,32x32,flydsl,bmm,1,8.0986,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3,290.03,663.57,0.0006 +gfx950,256,480,512,5120,32x32,flydsl,bmm,1,8.6823,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3,289.85,641.6,0.0006 +gfx950,256,512,512,5120,32x32,flydsl,bmm,1,8.3684,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3,320.77,689.16,0.0006 +gfx950,256,544,512,5120,32x32,flydsl,bmm,1,10.2207,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,279.05,583.5,0.0006 +gfx950,256,576,512,5120,32x32,flydsl,bmm,1,10.1652,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2,297.08,606.03,0.0006 +gfx950,256,608,512,5120,32x32,flydsl,bmm,1,10.2142,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,312.08,622.37,0.0006 +gfx950,256,640,512,5120,32x32,flydsl,bmm,1,10.1627,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb5_sk1_bd2,330.17,644.87,0.0006 +gfx950,256,672,512,5120,32x32,flydsl,bmm,2,9.9067,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb4_sk2_bd3_xcd,355.64,681.38,0.0006 +gfx950,256,704,512,5120,32x32,flydsl,bmm,1,10.3676,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,356.01,670.05,0.0006 +gfx950,256,736,512,5120,32x32,flydsl,bmm,2,9.893,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb4_sk2_bd3_xcd,390.05,722.07,0.0006 +gfx950,256,768,512,5120,32x32,flydsl,bmm,2,9.9436,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb4_sk2_bd3_xcd,404.94,738.17,0.0006 +gfx950,256,800,512,5120,32x32,flydsl,bmm,1,10.6242,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,394.79,709.38,0.0007 +gfx950,256,832,512,5120,32x32,flydsl,bmm,1,10.4783,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,416.3,738.03,0.0007 +gfx950,256,864,512,5120,32x32,flydsl,bmm,1,10.467,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,432.77,757.61,0.0007 +gfx950,256,896,512,5120,32x32,flydsl,bmm,1,10.4089,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2,451.31,780.72,0.0007 +gfx950,256,928,512,5120,32x32,flydsl,bmm,1,10.7391,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb5_sk1_bd3_xcd,453.05,775.03,0.0007 +gfx950,256,960,512,5120,32x32,flydsl,bmm,1,10.748,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,468.29,792.68,0.0007 +gfx950,256,992,512,5120,32x32,flydsl,bmm,1,10.6199,flydsl_bmm_mxfp8_mfma_t32x64x512_w1x4_nb6_sk1_bd2_xcd,489.74,820.75,0.0007 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+gfx950,256,672,32768,1280,32x32,flydsl,mxfp8,1,45.9591,flydsl_mxpsh_96x256x128_F8_F8_B16_w2_x4_sk1,1226.56,1889.58,0.0004 +gfx950,256,704,32768,1280,32x32,flydsl,mxfp8,1,46.8047,flydsl_mxpsh_96x256x128_F8_F8_B16_w2_x4_sk1,1261.75,1901.12,0.0004 +gfx950,256,736,32768,1280,32x32,flydsl,mxfp8,1,48.9751,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_1x0,1260.64,1860.53,0.0004 +gfx950,256,768,32768,1280,32x32,flydsl,mxfp8,1,49.4103,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1303.87,1887.41,0.0004 +gfx950,256,800,32768,1280,32x32,flydsl,mxfp8,1,49.0595,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_3x8,1367.91,1944.49,0.0004 +gfx950,256,832,32768,1280,32x32,flydsl,mxfp8,1,49.5507,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_3x4,1408.52,1968.37,0.0004 +gfx950,256,864,32768,1280,32x32,flydsl,mxfp8,1,51.1143,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1417.95,1949.98,0.0004 +gfx950,256,896,32768,1280,32x32,flydsl,mxfp8,1,51.9907,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_4x8,1445.68,1958.24,0.0004 +gfx950,256,928,32768,1280,32x32,flydsl,mxfp8,1,52.5008,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_2x4,1482.76,1979.94,0.0004 +gfx950,256,960,32768,1280,32x32,flydsl,mxfp8,1,52.7256,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_3x4,1527.35,2012.05,0.0004 +gfx950,256,992,32768,1280,32x32,flydsl,mxfp8,1,53.9364,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_3x0,1542.84,2006.52,0.0004 +gfx950,256,1024,32768,1280,32x32,flydsl,mxfp8,1,54.2174,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_3x8,1584.35,2035.56,0.0004 +gfx950,256,1088,32768,1280,32x32,flydsl,mxfp8,1,67.9721,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1342.73,1686.56,0.0004 +gfx950,256,1152,32768,1280,32x32,flydsl,mxfp8,1,70.0302,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_4x4,1379.93,1698.05,0.0004 +gfx950,256,1216,32768,1280,32x32,flydsl,mxfp8,1,71.6982,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1422.71,1718.19,0.0004 +gfx950,256,1280,32768,1280,32x32,flydsl,mxfp8,1,74.8266,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1434.97,1703.51,0.0004 +gfx950,256,1344,32768,1280,32x32,flydsl,mxfp8,1,75.5746,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_3x8,1491.81,1743.23,0.0004 +gfx950,256,1408,32768,1280,32x32,flydsl,mxfp8,1,77.427,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_4x4,1525.46,1756.75,0.0004 +gfx950,256,1472,32768,1280,32x32,flydsl,mxfp8,1,78.9687,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_2x0,1563.66,1776.61,0.0004 +gfx950,256,1536,32768,1280,32x32,flydsl,mxfp8,1,80.4247,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_4x4,1602.11,1797.61,0.0004 +gfx950,256,1600,32768,1280,32x32,flydsl,mxfp8,1,86.7119,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1547.86,1716.59,0.0004 +gfx950,256,1664,32768,1280,32x32,flydsl,mxfp8,1,88.6372,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1574.81,1727.55,0.0004 +gfx950,256,1728,32768,1280,32x32,flydsl,mxfp8,1,93.5547,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1549.42,1682.45,0.0004 +gfx950,256,1792,32768,1280,32x32,flydsl,mxfp8,1,93.9768,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1599.58,1720.4,0.0004 +gfx950,256,1856,32768,1280,32x32,flydsl,mxfp8,1,98.7621,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1576.44,1680.34,0.0004 +gfx950,256,1920,32768,1280,32x32,flydsl,mxfp8,1,99.8141,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1613.61,1705.47,0.0004 +gfx950,256,1984,32768,1280,32x32,flydsl,mxfp8,1,103.278,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_3x0,1611.48,1689.67,0.0004 +gfx950,256,2048,32768,1280,32x32,flydsl,mxfp8,1,105.1675,flydsl_mxfp8_8w_256x256x128_F8_F8_B16_1x0,1633.57,1699.98,0.0004 +gfx950,256,4096,32768,1280,32x32,flydsl,mxfp8,1,195.5087,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1757.45,1614.36,0.0004 +gfx950,256,6144,32768,1280,32x32,flydsl,mxfp8,1,276.0967,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1866.72,1638.78,0.0004 +gfx950,256,8192,32768,1280,32x32,flydsl,mxfp8,1,362.5769,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1895.31,1625.31,0.0004 +gfx950,256,10240,32768,1280,32x32,flydsl,mxfp8,1,450.6913,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1905.95,1611.17,0.0004 +gfx950,256,12288,32768,1280,32x32,flydsl,mxfp8,1,528.3159,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1951.09,1633.45,0.0004 +gfx950,256,14336,32768,1280,32x32,flydsl,mxfp8,1,612.1227,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1964.62,1633.36,0.0004 +gfx950,256,16384,32768,1280,32x32,flydsl,mxfp8,1,698.8657,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1966.6,1626.43,0.0004 +gfx950,256,32768,32768,1280,32x32,flydsl,mxfp8,1,1408.5045,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1951.56,1584.21,0.0004 diff --git a/aiter/configs/model_configs/dsv4_a8w8_blockscale_mxscale_bpreshuffle_tuned_gemm.csv b/aiter/configs/model_configs/dsv4_a8w8_blockscale_mxscale_bpreshuffle_tuned_gemm.csv index f651393f59e..5ed9ecb3504 100644 --- a/aiter/configs/model_configs/dsv4_a8w8_blockscale_mxscale_bpreshuffle_tuned_gemm.csv +++ b/aiter/configs/model_configs/dsv4_a8w8_blockscale_mxscale_bpreshuffle_tuned_gemm.csv @@ -1,1059 +1,1059 @@ gfx,cu_num,M,N,K,w_scale_block,libtype,kernelId,splitK,us,kernelName,tflops,bw,errRatio -gfx950,256,1,768,7168,128x128,flydsl,bmm,4,5.533,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x1_nb4_sk4_nt,1.99,996.5,0.0 -gfx950,256,2,768,7168,128x128,flydsl,bmm,4,5.199,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb4_sk4_nt,4.24,1062.37,0.002 -gfx950,256,4,768,7168,128x128,flydsl,bmm,4,4.989,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb5_sk4_nt,8.83,1110.54,0.001 -gfx950,256,8,768,7168,128x128,flydsl,bmm,4,4.938,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt,17.84,1129.03,0.0011 -gfx950,256,16,768,7168,128x128,flydsl,bmm,4,4.991,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_sps,35.3,1131.25,0.001 -gfx950,256,32,768,7168,128x128,flydsl,bmm,4,5.717,flydsl_bmm_mxfp8_mfma_t32x16x256_w1x1_nb6_sk4_nt_sps,61.63,1012.01,0.001 -gfx950,256,48,768,7168,128x128,flydsl,bmm,4,6.531,flydsl_bmm_mxfp8_mfma_t32x16x256_w1x1_nb6_sk4_sps,80.92,907.39,0.0009 -gfx950,256,64,768,7168,128x128,flydsl,bmm,4,6.446,flydsl_bmm_mxfp8_mfma_t32x16x256_w2x1_nb6_sk4_sps,109.31,940.98,0.0008 -gfx950,256,80,768,7168,128x128,flydsl,bmm,2,7.456,flydsl_bmm_mxfp8_mfma_t32x32x512_w2x2_nb4_sk2,118.13,832.32,0.0008 -gfx950,256,96,768,7168,128x128,flydsl,bmm,4,7.881,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4,134.11,805.26,0.0009 -gfx950,256,112,768,7168,128x128,flydsl,bmm,4,7.017,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4,175.72,924.33,0.0008 -gfx950,256,128,768,7168,128x128,flydsl,bmm,4,7.292,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4_xcd,193.27,908.77,0.0008 -gfx950,256,144,768,7168,128x128,flydsl,bmm,4,8.056,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk4,196.81,840.01,0.0007 -gfx950,256,160,768,7168,128x128,flydsl,bmm,4,8.115,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk4_xcd,217.07,851.1,0.0008 -gfx950,256,176,768,7168,128x128,flydsl,bmm,4,8.341,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk4_xcd_sps,232.33,844.91,0.0008 -gfx950,256,192,768,7168,128x128,flydsl,bmm,4,8.61,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk4_sps,245.52,834.77,0.0008 -gfx950,256,208,768,7168,128x128,flydsl,bmm,4,9.003,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk4,254.37,813.88,0.0009 -gfx950,256,224,768,7168,128x128,flydsl,bmm,4,8.923,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk4_xcd,276.39,836.88,0.0008 -gfx950,256,240,768,7168,128x128,flydsl,bmm,4,9.13,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk4_xcd,289.41,833.24,0.0009 -gfx950,256,256,768,7168,128x128,flydsl,bmm,4,9.235,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb4_sk4_xcd,305.2,838.97,0.0008 -gfx950,256,288,768,7168,128x128,flydsl,bmm,2,10.21,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk2_xcd,310.56,786.3,0.0008 -gfx950,256,320,768,7168,128x128,flydsl,bmm,2,10.634,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk2_xcd,331.31,781.3,0.0008 -gfx950,256,352,768,7168,128x128,flydsl,bmm,2,11.732,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk2_xcd,330.35,732.12,0.0009 -gfx950,256,384,768,7168,128x128,flydsl,bmm,2,12.021,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk2_xcd,351.71,737.83,0.0009 -gfx950,256,416,768,7168,128x128,flydsl,bmm,2,12.478,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb3_sk2_xcd,367.06,733.26,0.0008 -gfx950,256,448,768,7168,128x128,flydsl,bmm,2,12.593,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb3_sk2_xcd,391.68,748.8,0.0009 -gfx950,256,480,768,7168,128x128,flydsl,bmm,2,12.381,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb4_sk2_xcd,426.85,784.29,0.0009 -gfx950,256,512,768,7168,128x128,flydsl,bmm,2,12.513,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb4_sk2_xcd,450.5,798.4,0.0009 -gfx950,256,544,768,7168,128x128,flydsl,bmm,2,13.975,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb4_sk2_xcd,428.6,734.96,0.0009 -gfx950,256,576,768,7168,128x128,flydsl,bmm,2,14.452,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb4_sk2_xcd_sps,438.8,730.06,0.0009 -gfx950,256,608,768,7168,128x128,flydsl,bmm,2,13.032,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb5_sk2_xcd,513.66,831.12,0.0008 -gfx950,256,640,768,7168,128x128,flydsl,bmm,2,13.267,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb6_sk2_xcd,531.14,837.57,0.0009 -gfx950,256,672,768,7168,128x128,flydsl,bmm,2,16.04,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk2_xcd,461.27,710.23,0.0008 -gfx950,256,704,768,7168,128x128,flydsl,bmm,2,15.567,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk2_xcd,497.91,749.81,0.0009 -gfx950,256,736,768,7168,128x128,flydsl,bmm,1,15.188,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2,533.56,787.01,0.0009 -gfx950,256,768,768,7168,128x128,flydsl,bmm,1,15.102,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,559.92,810.04,0.0008 -gfx950,256,800,768,7168,128x128,flydsl,bmm,1,15.218,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_xcd,578.78,822.26,0.0008 -gfx950,256,832,768,7168,128x128,flydsl,bmm,1,14.536,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,630.19,880.14,0.0008 -gfx950,256,864,768,7168,128x128,flydsl,bmm,1,15.225,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_xcd,624.82,858.73,0.0009 -gfx950,256,896,768,7168,128x128,flydsl,bmm,1,14.704,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb7_sk1_bd2_xcd,670.89,908.19,0.0009 -gfx950,256,928,768,7168,128x128,flydsl,bmm,1,14.718,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_xcd,694.22,926.42,0.0008 -gfx950,256,960,768,7168,128x128,flydsl,bmm,1,15.143,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2,697.97,918.88,0.0008 -gfx950,256,992,768,7168,128x128,flydsl,bmm,1,14.735,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,741.25,963.4,0.0009 -gfx950,256,1024,768,7168,128x128,flydsl,bmm,1,16.175,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x2_nb5_sk1_bd2_xcd,697.02,894.94,0.0009 -gfx950,256,1088,768,7168,128x128,flydsl,bmm,1,17.558,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2_xcd,682.26,856.39,0.0009 -gfx950,256,1152,768,7168,128x128,flydsl,bmm,1,17.52,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2_xcd,723.96,890.25,0.0009 -gfx950,256,1216,768,7168,128x128,flydsl,bmm,1,17.626,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2_xcd,759.57,916.68,0.0009 -gfx950,256,1280,768,7168,128x128,flydsl,bmm,1,17.681,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2,797.08,945.57,0.0008 -gfx950,256,1344,768,7168,128x128,flydsl,bmm,1,17.932,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2_xcd,825.2,963.58,0.0008 -gfx950,256,1408,768,7168,128x128,flydsl,bmm,1,19.125,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb4_sk1_bd2_xcd,810.57,932.78,0.0008 -gfx950,256,1472,768,7168,128x128,flydsl,bmm,1,20.676,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb4_sk1_bd2_xcd,783.83,889.91,0.0009 -gfx950,256,1536,768,7168,128x128,flydsl,bmm,1,20.27,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb4_sk1_bd3_xcd,834.32,935.42,0.0009 -gfx950,256,1600,768,7168,128x128,flydsl,bmm,1,22.128,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb4_sk1_bd2_xcd,796.08,882.18,0.0008 -gfx950,256,1664,768,7168,128x128,flydsl,bmm,1,22.189,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb5_sk1_bd2_xcd,825.65,905.03,0.0009 -gfx950,256,1728,768,7168,128x128,flydsl,bmm,1,22.091,flydsl_bmm_mxfp8_mfma_t96x64x256_w1x4_nb4_sk1_bd2_xcd,861.22,934.42,0.0009 -gfx950,256,1792,768,7168,128x128,flydsl,bmm,1,21.995,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,897.02,964.0,0.0008 -gfx950,256,1856,768,7168,128x128,flydsl,bmm,1,22.447,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb7_sk1_bd2_xcd,910.34,969.55,0.0009 -gfx950,256,1920,768,7168,128x128,flydsl,bmm,1,22.631,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb7_sk1_bd2,934.1,986.47,0.0009 -gfx950,256,1984,768,7168,128x128,flydsl,bmm,1,22.304,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,979.38,1026.06,0.0008 -gfx950,256,2048,768,7168,128x128,flydsl,bmm,1,24.594,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2,916.85,953.33,0.0009 -gfx950,256,4096,768,7168,128x128,flydsl,bmm,1,37.842,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3_xcd,1191.72,1093.66,0.0009 -gfx950,256,6144,768,7168,128x128,flydsl,bmm,1,51.63,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2,1310.2,1149.07,0.0008 -gfx950,256,8192,768,7168,128x128,flydsl,bmm,1,59.081,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1526.61,1307.81,0.0009 -gfx950,256,10240,768,7168,128x128,flydsl,bmm,1,65.39,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2,1724.17,1456.01,0.0009 -gfx950,256,12288,768,7168,128x128,flydsl,bmm,1,83.762,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2,1615.19,1350.83,0.0009 -gfx950,256,14336,768,7168,128x128,flydsl,bmm,1,90.008,flydsl_bmm_mxfp8_mfma_t128x384x128_w1x4_nb4_sk1_bd3_xcd_sps,1753.62,1456.41,0.0008 -gfx950,256,16384,768,7168,128x128,flydsl,bmm,1,94.263,flydsl_bmm_mxfp8_mfma_t128x384x128_w1x4_nb4_sk1_bd3_sps,1913.68,1580.99,0.0009 -gfx950,256,32768,768,7168,128x128,flydsl,bmm,1,176.486,flydsl_bmm_mxfp8_mfma_t128x384x128_w1x4_nb4_sk1_bd3_xcd_sps,2044.23,1657.66,0.0009 -gfx950,256,1,1536,7168,128x128,flydsl,bmm,4,5.521,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk4_nt_xcd_sps,3.99,1996.11,0.002 -gfx950,256,2,1536,7168,128x128,flydsl,bmm,4,5.589,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb8_sk4_nt_sps,7.88,1973.6,0.0013 -gfx950,256,4,1536,7168,128x128,flydsl,bmm,4,5.577,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk4_xcd_sps,15.79,1981.69,0.0005 -gfx950,256,8,1536,7168,128x128,flydsl,bmm,4,5.603,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb8_sk4_sps,31.44,1979.98,0.0009 -gfx950,256,16,1536,7168,128x128,flydsl,bmm,4,5.831,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb8_sk4_xcd_sps,60.43,1916.71,0.0007 -gfx950,256,32,1536,7168,128x128,flydsl,bmm,4,6.612,flydsl_bmm_mxfp8_mfma_t32x32x128_w1x2_nb9_sk4_nt_xcd_sps,106.56,1715.0,0.0007 -gfx950,256,48,1536,7168,128x128,flydsl,bmm,4,7.141,flydsl_bmm_mxfp8_mfma_t48x32x128_w1x2_nb9_sk4_nt_xcd_sps,148.02,1611.19,0.0008 -gfx950,256,64,1536,7168,128x128,flydsl,bmm,4,8.41,flydsl_bmm_mxfp8_mfma_t48x32x128_w1x2_nb7_sk4_xcd_sps,167.58,1387.66,0.0009 -gfx950,256,80,1536,7168,128x128,flydsl,bmm,4,8.328,flydsl_bmm_mxfp8_mfma_t48x32x128_w1x2_nb6_sk4_xcd_sps,211.52,1420.96,0.001 -gfx950,256,96,1536,7168,128x128,flydsl,bmm,4,8.665,flydsl_bmm_mxfp8_mfma_t48x32x128_w1x2_nb6_sk4_sps,243.95,1384.74,0.0009 -gfx950,256,112,1536,7168,128x128,flydsl,bmm,4,8.93,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk4,276.16,1362.07,0.001 -gfx950,256,128,1536,7168,128x128,flydsl,bmm,4,9.076,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk4_xcd,310.57,1358.44,0.0008 -gfx950,256,144,1536,7168,128x128,flydsl,bmm,4,10.448,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb3_sk4_xcd,303.48,1195.71,0.0009 -gfx950,256,160,1536,7168,128x128,flydsl,bmm,4,10.495,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb3_sk4,335.7,1206.1,0.0008 -gfx950,256,176,1536,7168,128x128,flydsl,bmm,4,10.777,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb3_sk4,359.63,1189.88,0.0008 -gfx950,256,192,1536,7168,128x128,flydsl,bmm,4,10.976,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb3_sk4,385.21,1183.31,0.0009 -gfx950,256,208,1536,7168,128x128,flydsl,bmm,2,12.053,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk2,380.02,1091.24,0.0008 -gfx950,256,224,1536,7168,128x128,flydsl,bmm,2,11.984,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb4_sk2,411.59,1111.23,0.0009 -gfx950,256,240,1536,7168,128x128,flydsl,bmm,2,12.26,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2,431.07,1099.67,0.0008 -gfx950,256,256,1536,7168,128x128,flydsl,bmm,2,12.52,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk2,450.25,1089.97,0.0009 -gfx950,256,288,1536,7168,128x128,flydsl,bmm,2,13.402,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x2_nb4_sk2,473.19,1042.82,0.0008 -gfx950,256,320,1536,7168,128x128,flydsl,bmm,2,14.204,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x4_nb4_sk2,496.1,1007.17,0.0009 -gfx950,256,352,1536,7168,128x128,flydsl,bmm,1,16.522,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1,469.15,885.8,0.0009 -gfx950,256,384,1536,7168,128x128,flydsl,bmm,2,17.264,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk2_xcd,489.78,866.79,0.0009 -gfx950,256,416,1536,7168,128x128,flydsl,bmm,2,17.303,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk2_xcd,529.4,883.87,0.0009 -gfx950,256,448,1536,7168,128x128,flydsl,bmm,2,17.011,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x4_nb4_sk2,579.92,918.43,0.0009 -gfx950,256,480,1536,7168,128x128,flydsl,bmm,2,16.848,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk2_xcd,627.34,946.85,0.001 -gfx950,256,512,1536,7168,128x128,flydsl,bmm,2,17.341,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk2,650.15,938.94,0.0009 -gfx950,256,544,1536,7168,128x128,flydsl,bmm,1,17.72,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_xcd,676.01,937.45,0.0008 -gfx950,256,576,1536,7168,128x128,flydsl,bmm,1,18.348,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,691.3,923.35,0.0009 -gfx950,256,608,1536,7168,128x128,flydsl,bmm,1,17.891,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1,748.33,965.34,0.0009 -gfx950,256,640,1536,7168,128x128,flydsl,bmm,1,18.197,flydsl_bmm_mxfp8_mfma_t64x64x256_w4x2_nb4_sk1_xcd,774.45,967.19,0.0008 -gfx950,256,672,1536,7168,128x128,flydsl,bmm,1,21.667,flydsl_bmm_mxfp8_mfma_t32x128x256_w1x4_nb4_sk1_bd2_xcd,682.94,827.49,0.0008 -gfx950,256,704,1536,7168,128x128,flydsl,bmm,2,22.232,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,697.28,821.29,0.0008 -gfx950,256,736,1536,7168,128x128,flydsl,bmm,1,22.012,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb5_sk1_bd2,736.27,844.47,0.0008 -gfx950,256,768,1536,7168,128x128,flydsl,bmm,1,22.681,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2,745.62,834.09,0.0009 -gfx950,256,800,1536,7168,128x128,flydsl,bmm,1,22.499,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,782.97,855.49,0.0009 -gfx950,256,832,1536,7168,128x128,flydsl,bmm,1,22.112,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2,828.55,885.36,0.0008 -gfx950,256,864,1536,7168,128x128,flydsl,bmm,1,22.976,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb5_sk1_bd2_xcd,828.06,866.41,0.0009 -gfx950,256,896,1536,7168,128x128,flydsl,bmm,1,22.761,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,866.83,889.06,0.0008 -gfx950,256,928,1536,7168,128x128,flydsl,bmm,1,22.196,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb9_sk1_bd2_xcd,920.67,926.56,0.0009 -gfx950,256,960,1536,7168,128x128,flydsl,bmm,1,23.196,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb7_sk1_bd2,911.33,900.8,0.0009 -gfx950,256,992,1536,7168,128x128,flydsl,bmm,1,23.197,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb7_sk1_bd2_xcd,941.67,914.96,0.0008 -gfx950,256,1024,1536,7168,128x128,flydsl,bmm,1,25.119,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb6_sk1_bd2,897.66,858.06,0.0009 -gfx950,256,1088,1536,7168,128x128,flydsl,bmm,1,25.428,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2_xcd,942.18,873.55,0.0009 -gfx950,256,1152,1536,7168,128x128,flydsl,bmm,1,25.558,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb6_sk1_bd2_xcd,992.52,894.88,0.0009 -gfx950,256,1216,1536,7168,128x128,flydsl,bmm,1,25.79,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb6_sk1_bd2_xcd,1038.24,912.39,0.0009 -gfx950,256,1280,1536,7168,128x128,flydsl,bmm,1,25.649,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2,1098.9,943.1,0.0008 -gfx950,256,1344,1536,7168,128x128,flydsl,bmm,1,26.449,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2_xcd,1118.94,939.48,0.0009 -gfx950,256,1408,1536,7168,128x128,flydsl,bmm,1,30.919,flydsl_bmm_mxfp8_mfma_t96x128x256_w1x4_nb4_sk1_bd2_xcd,1002.75,824.97,0.0009 -gfx950,256,1472,1536,7168,128x128,flydsl,bmm,1,30.2,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,1073.31,866.45,0.0009 -gfx950,256,1536,1536,7168,128x128,flydsl,bmm,1,30.61,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb6_sk1_bd2,1104.98,876.37,0.0009 -gfx950,256,1600,1536,7168,128x128,flydsl,bmm,1,31.037,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2_xcd,1135.17,885.54,0.0009 -gfx950,256,1664,1536,7168,128x128,flydsl,bmm,1,30.969,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,1183.18,908.77,0.0009 -gfx950,256,1728,1536,7168,128x128,flydsl,bmm,1,31.874,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2_xcd,1193.8,903.64,0.0009 -gfx950,256,1792,1536,7168,128x128,flydsl,bmm,1,31.817,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd3_xcd,1240.2,925.94,0.0009 -gfx950,256,1856,1536,7168,128x128,flydsl,bmm,1,31.788,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd3,1285.67,947.52,0.0009 -gfx950,256,1920,1536,7168,128x128,flydsl,bmm,1,32.45,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2_xcd,1302.87,948.49,0.0009 -gfx950,256,1984,1536,7168,128x128,flydsl,bmm,1,32.798,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,1332.04,958.54,0.0009 -gfx950,256,2048,1536,7168,128x128,flydsl,bmm,1,37.121,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,1214.86,864.65,0.0009 -gfx950,256,4096,1536,7168,128x128,flydsl,bmm,1,58.533,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1540.92,908.6,0.0009 -gfx950,256,6144,1536,7168,128x128,flydsl,bmm,1,81.258,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1664.96,913.99,0.0009 -gfx950,256,8192,1536,7168,128x128,flydsl,bmm,1,100.757,flydsl_bmm_mxfp8_mfma_t128x384x128_w1x4_nb3_sk1_bd2,1790.33,946.39,0.0009 -gfx950,256,10240,1536,7168,128x128,flydsl,bmm,1,116.629,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1933.36,998.39,0.0009 -gfx950,256,12288,1536,7168,128x128,flydsl,bmm,1,147.815,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2,1830.55,930.41,0.0009 -gfx950,256,14336,1536,7168,128x128,flydsl,bmm,1,164.069,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1924.06,966.75,0.0008 -gfx950,256,16384,1536,7168,128x128,flydsl,bmm,1,173.925,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,2074.33,1033.21,0.0009 -gfx950,256,20480,1536,7168,128x128,flydsl,bmm,1,215.487,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_xcd,2092.81,1029.64,0.0009 -gfx950,256,24576,1536,7168,128x128,flydsl,bmm,1,249.418,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,2169.72,1058.65,0.0009 -gfx950,256,28672,1536,7168,128x128,flydsl,bmm,1,289.368,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1_xcd,2181.86,1058.23,0.0009 -gfx950,256,32768,1536,7168,128x128,flydsl,bmm,1,328.53,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd_sps,2196.31,1060.45,0.0009 -gfx950,256,40960,1536,7168,128x128,flydsl,bmm,1,418.807,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,2153.6,1033.26,0.0009 -gfx950,256,49152,1536,7168,128x128,flydsl,bmm,1,494.832,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,2187.27,1044.96,0.0009 -gfx950,256,57344,1536,7168,128x128,flydsl,bmm,1,564.592,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1_xcd,2236.52,1065.24,0.0009 -gfx950,256,65536,1536,7168,128x128,flydsl,bmm,1,641.655,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,2249.04,1068.75,0.0009 -gfx950,256,1,2048,7168,128x128,flydsl,bmm,4,6.148,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb4_sk4,4.78,2389.78,0.0005 -gfx950,256,2,2048,7168,128x128,flydsl,bmm,4,6.084,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb4_sk4_sps,9.65,2416.59,0.0015 -gfx950,256,4,2048,7168,128x128,flydsl,bmm,4,6.063,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb5_sk4_sps,19.37,2428.68,0.001 -gfx950,256,8,2048,7168,128x128,flydsl,bmm,4,6.085,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb5_sk4_sps,38.6,2427.41,0.0007 -gfx950,256,16,2048,7168,128x128,flydsl,bmm,4,6.091,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb5_sk4_xcd_sps,77.12,2439.91,0.0006 -gfx950,256,32,2048,7168,128x128,flydsl,bmm,4,6.831,flydsl_bmm_mxfp8_mfma_t32x32x256_w1x2_nb4_sk4_sps,137.54,2202.14,0.0008 -gfx950,256,48,2048,7168,128x128,flydsl,bmm,4,7.341,flydsl_bmm_mxfp8_mfma_t48x32x256_w1x2_nb4_sk4_sps,191.96,2073.75,0.0009 -gfx950,256,64,2048,7168,128x128,flydsl,bmm,2,8.86,flydsl_bmm_mxfp8_mfma_t64x16x512_w4x1_nb3_sk2,212.09,1738.86,0.001 -gfx950,256,80,2048,7168,128x128,flydsl,bmm,4,9.774,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk4,240.3,1594.64,0.0008 -gfx950,256,96,2048,7168,128x128,flydsl,bmm,4,9.86,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk4,285.86,1599.19,0.0009 -gfx950,256,112,2048,7168,128x128,flydsl,bmm,4,10.019,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk4_xcd,328.22,1591.88,0.0009 -gfx950,256,128,2048,7168,128x128,flydsl,bmm,4,10.157,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb3_sk4,370.0,1588.05,0.0009 -gfx950,256,144,2048,7168,128x128,flydsl,bmm,4,11.533,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb3_sk4,366.58,1414.25,0.0008 -gfx950,256,160,2048,7168,128x128,flydsl,bmm,4,11.582,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb3_sk4,405.59,1423.93,0.0009 -gfx950,256,176,2048,7168,128x128,flydsl,bmm,4,11.848,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x2_nb3_sk4_xcd,436.12,1407.21,0.0008 -gfx950,256,192,2048,7168,128x128,flydsl,bmm,4,12.119,flydsl_bmm_mxfp8_mfma_t96x64x256_w2x4_nb3_sk4_xcd,465.15,1390.73,0.0008 -gfx950,256,208,2048,7168,128x128,flydsl,bmm,2,12.575,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk2,485.63,1354.68,0.0008 -gfx950,256,224,2048,7168,128x128,flydsl,bmm,2,13.139,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk2,500.56,1310.38,0.0008 -gfx950,256,240,2048,7168,128x128,flydsl,bmm,2,13.118,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x2_nb5_sk2_xcd,537.16,1326.25,0.0009 -gfx950,256,256,2048,7168,128x128,flydsl,bmm,2,12.894,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb5_sk2_xcd,582.94,1363.38,0.0009 -gfx950,256,288,2048,7168,128x128,flydsl,bmm,2,15.995,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk2_xcd,528.64,1121.66,0.0009 -gfx950,256,320,2048,7168,128x128,flydsl,bmm,2,16.571,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk2_xcd,566.98,1104.56,0.0008 -gfx950,256,352,2048,7168,128x128,flydsl,bmm,2,16.209,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk2_xcd,637.59,1151.54,0.0009 -gfx950,256,384,2048,7168,128x128,flydsl,bmm,2,16.455,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk2,685.18,1156.38,0.0009 -gfx950,256,416,2048,7168,128x128,flydsl,bmm,2,17.609,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk2_xcd,693.61,1101.14,0.0008 -gfx950,256,448,2048,7168,128x128,flydsl,bmm,2,17.517,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk2,750.91,1127.63,0.0009 -gfx950,256,480,2048,7168,128x128,flydsl,bmm,2,17.75,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk2_xcd,793.96,1133.21,0.0008 -gfx950,256,512,2048,7168,128x128,flydsl,bmm,2,18.388,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk2_xcd,817.5,1113.58,0.0009 -gfx950,256,544,2048,7168,128x128,flydsl,bmm,2,22.382,flydsl_bmm_mxfp8_mfma_t96x128x128_w2x2_nb4_sk2,713.6,931.06,0.0009 -gfx950,256,576,2048,7168,128x128,flydsl,bmm,2,22.588,flydsl_bmm_mxfp8_mfma_t96x128x128_w2x2_nb4_sk2,748.68,938.6,0.0009 -gfx950,256,608,2048,7168,128x128,flydsl,bmm,2,23.869,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,747.86,903.4,0.0009 -gfx950,256,640,2048,7168,128x128,flydsl,bmm,2,24.492,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2_xcd,767.22,895.23,0.0009 -gfx950,256,672,2048,7168,128x128,flydsl,bmm,2,24.489,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,805.68,910.13,0.0008 -gfx950,256,704,2048,7168,128x128,flydsl,bmm,2,24.513,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,843.22,924.02,0.0009 -gfx950,256,736,2048,7168,128x128,flydsl,bmm,2,24.563,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,879.75,936.89,0.0009 -gfx950,256,768,2048,7168,128x128,flydsl,bmm,2,25.32,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2_xcd,890.54,923.17,0.0009 -gfx950,256,800,2048,7168,128x128,flydsl,bmm,1,25.669,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb5_sk1_bd2_xcd,915.03,924.72,0.0009 -gfx950,256,832,2048,7168,128x128,flydsl,bmm,1,26.603,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb6_sk1_bd2_xcd,918.24,905.89,0.0009 -gfx950,256,864,2048,7168,128x128,flydsl,bmm,1,25.416,flydsl_bmm_mxfp8_mfma_t64x128x256_w1x4_nb4_sk1_bd2_xcd,998.07,962.44,0.0009 -gfx950,256,896,2048,7168,128x128,flydsl,bmm,1,26.907,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb6_sk1_bd2,977.7,922.58,0.0008 -gfx950,256,928,2048,7168,128x128,flydsl,bmm,1,26.115,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb9_sk1_bd2_xcd,1043.3,964.41,0.0009 -gfx950,256,960,2048,7168,128x128,flydsl,bmm,1,27.308,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb6_sk1_bd2_xcd,1032.16,935.57,0.0008 -gfx950,256,992,2048,7168,128x128,flydsl,bmm,1,26.397,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb7_sk1_bd3,1103.35,981.56,0.0009 -gfx950,256,1024,2048,7168,128x128,flydsl,bmm,1,27.428,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb8_sk1_bd3,1096.14,957.88,0.0009 -gfx950,256,1088,2048,7168,128x128,flydsl,bmm,1,31.1,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb8_sk1_bd3,1027.13,868.07,0.0009 -gfx950,256,1152,2048,7168,128x128,flydsl,bmm,1,32.211,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb8_sk1_bd2_xcd,1050.05,860.64,0.0009 -gfx950,256,1216,2048,7168,128x128,flydsl,bmm,1,31.688,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb8_sk1_bd2_xcd,1126.68,897.7,0.0009 -gfx950,256,1280,2048,7168,128x128,flydsl,bmm,1,32.432,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,1158.76,899.44,0.0009 -gfx950,256,1344,2048,7168,128x128,flydsl,bmm,1,33.076,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb8_sk1_bd2_xcd,1192.99,903.82,0.0008 -gfx950,256,1408,2048,7168,128x128,flydsl,bmm,1,33.43,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb9_sk1_bd2_xcd,1236.57,915.92,0.0009 -gfx950,256,1472,2048,7168,128x128,flydsl,bmm,1,33.945,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd3,1273.19,923.38,0.0009 -gfx950,256,1536,2048,7168,128x128,flydsl,bmm,1,34.159,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb8_sk1_bd2,1320.2,938.79,0.0008 -gfx950,256,1600,2048,7168,128x128,flydsl,bmm,1,37.96,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1237.52,863.88,0.0008 -gfx950,256,1664,2048,7168,128x128,flydsl,bmm,1,38.374,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1273.14,873.45,0.0009 -gfx950,256,1728,2048,7168,128x128,flydsl,bmm,1,40.401,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,1255.76,847.54,0.0009 -gfx950,256,1792,2048,7168,128x128,flydsl,bmm,1,40.029,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1314.4,873.54,0.0008 -gfx950,256,1856,2048,7168,128x128,flydsl,bmm,1,41.766,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1304.7,854.54,0.0009 -gfx950,256,1920,2048,7168,128x128,flydsl,bmm,1,41.342,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1363.54,880.83,0.0008 -gfx950,256,1984,2048,7168,128x128,flydsl,bmm,1,40.005,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3_xcd,1456.1,928.39,0.0008 -gfx950,256,2048,2048,7168,128x128,flydsl,bmm,1,43.231,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1390.9,875.87,0.0008 -gfx950,256,4096,2048,7168,128x128,flydsl,bmm,1,66.366,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1812.07,919.87,0.0009 -gfx950,256,6144,2048,7168,128x128,flydsl,bmm,1,94.108,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1916.83,895.05,0.0009 -gfx950,256,8192,2048,7168,128x128,flydsl,bmm,1,124.352,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1934.17,863.79,0.0009 -gfx950,256,10240,2048,7168,128x128,flydsl,bmm,1,164.619,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2,1826.32,793.33,0.0009 -gfx950,256,12288,2048,7168,128x128,flydsl,bmm,1,174.838,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2,2063.49,879.56,0.0009 -gfx950,256,14336,2048,7168,128x128,flydsl,bmm,1,207.015,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1_xcd,2033.21,854.84,0.0009 -gfx950,256,16384,2048,7168,128x128,flydsl,bmm,1,231.663,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,2076.45,863.96,0.0009 -gfx950,256,32768,2048,7168,128x128,flydsl,bmm,1,449.456,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,2140.53,857.96,0.0009 -gfx950,256,1,6144,7168,128x128,flydsl,bmm,1,9.484,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb7_sk1_bd3_nt_sps,9.29,4645.8,0.0016 -gfx950,256,2,6144,7168,128x128,flydsl,bmm,1,9.298,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb6_sk1_bd2_nt_sps,18.95,4740.83,0.0006 -gfx950,256,4,6144,7168,128x128,flydsl,bmm,1,9.369,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb7_sk1_bd3_nt,37.6,4709.21,0.0007 -gfx950,256,8,6144,7168,128x128,flydsl,bmm,1,9.471,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb7_sk1_bd2_nt,74.4,4666.72,0.0007 -gfx950,256,16,6144,7168,128x128,flydsl,bmm,1,9.903,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb6_sk1_bd2_nt,142.31,4478.96,0.0009 -gfx950,256,32,6144,7168,128x128,flydsl,bmm,2,11.401,flydsl_bmm_mxfp8_mfma_t32x64x128_w2x2_nb6_sk2_nt,247.21,3917.71,0.0008 -gfx950,256,48,6144,7168,128x128,flydsl,bmm,2,12.819,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x2_nb6_sk2_nt_xcd,329.8,3508.72,0.0008 -gfx950,256,64,6144,7168,128x128,flydsl,bmm,2,12.716,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb6_sk2_nt_xcd,443.32,3561.84,0.0008 -gfx950,256,80,6144,7168,128x128,flydsl,bmm,2,15.869,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb7_sk2_nt,444.04,2873.81,0.0009 -gfx950,256,96,6144,7168,128x128,flydsl,bmm,2,15.95,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb7_sk2_nt_xcd,530.12,2878.66,0.0008 -gfx950,256,112,6144,7168,128x128,flydsl,bmm,1,18.063,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2,546.15,2559.28,0.0009 -gfx950,256,128,6144,7168,128x128,flydsl,bmm,1,19.374,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb5_sk1_xcd,581.92,2402.19,0.0009 -gfx950,256,144,6144,7168,128x128,flydsl,bmm,1,22.085,flydsl_bmm_mxfp8_mfma_t96x64x256_w1x4_nb5_sk1_bd2_xcd,574.3,2121.46,0.0009 -gfx950,256,160,6144,7168,128x128,flydsl,bmm,1,21.913,flydsl_bmm_mxfp8_mfma_t96x64x256_w1x4_nb5_sk1_bd2,643.11,2152.32,0.0009 -gfx950,256,176,6144,7168,128x128,flydsl,bmm,1,21.998,flydsl_bmm_mxfp8_mfma_t96x64x256_w1x4_nb4_sk1_bd2,704.71,2158.26,0.0008 -gfx950,256,192,6144,7168,128x128,flydsl,bmm,1,22.955,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb5_sk1_bd2,736.71,2081.83,0.0009 -gfx950,256,208,6144,7168,128x128,flydsl,bmm,2,24.492,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,748.01,1963.92,0.0009 -gfx950,256,224,6144,7168,128x128,flydsl,bmm,2,24.767,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,796.61,1954.73,0.0008 -gfx950,256,240,6144,7168,128x128,flydsl,bmm,2,24.975,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2_xcd,846.41,1950.96,0.0009 -gfx950,256,256,6144,7168,128x128,flydsl,bmm,2,25.755,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,875.5,1904.02,0.0009 -gfx950,256,288,6144,7168,128x128,flydsl,bmm,1,32.208,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_xcd,787.6,1541.92,0.0008 -gfx950,256,320,6144,7168,128x128,flydsl,bmm,1,32.558,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,865.71,1544.53,0.0009 -gfx950,256,352,6144,7168,128x128,flydsl,bmm,1,32.448,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2,955.51,1569.01,0.0009 -gfx950,256,384,6144,7168,128x128,flydsl,bmm,1,33.088,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2_xcd,1022.21,1557.53,0.0008 -gfx950,256,416,6144,7168,128x128,flydsl,bmm,1,35.735,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2_xcd,1025.37,1459.64,0.0008 -gfx950,256,448,6144,7168,128x128,flydsl,bmm,1,35.958,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,1097.4,1467.96,0.0008 -gfx950,256,480,6144,7168,128x128,flydsl,bmm,1,36.208,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2_xcd,1167.65,1475.04,0.0009 -gfx950,256,512,6144,7168,128x128,flydsl,bmm,1,38.437,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1173.28,1405.76,0.0009 -gfx950,256,544,6144,7168,128x128,flydsl,bmm,1,41.406,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,1157.23,1320.05,0.0009 -gfx950,256,576,6144,7168,128x128,flydsl,bmm,1,42.536,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1,1192.75,1299.66,0.0009 -gfx950,256,608,6144,7168,128x128,flydsl,bmm,1,42.284,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,1266.49,1322.14,0.0009 -gfx950,256,640,6144,7168,128x128,flydsl,bmm,1,43.148,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1306.45,1310.14,0.0008 -gfx950,256,672,6144,7168,128x128,flydsl,bmm,1,52.037,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb4_sk1_bd2_xcd,1137.46,1098.35,0.0008 -gfx950,256,704,6144,7168,128x128,flydsl,bmm,1,54.308,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb4_sk1_bd3_xcd,1141.8,1063.92,0.0008 -gfx950,256,736,6144,7168,128x128,flydsl,bmm,1,54.749,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1184.08,1066.76,0.0009 -gfx950,256,768,6144,7168,128x128,flydsl,bmm,1,54.507,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb4_sk1_bd2_xcd,1241.05,1082.95,0.0009 -gfx950,256,800,6144,7168,128x128,flydsl,bmm,1,56.61,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1244.74,1053.75,0.0009 -gfx950,256,832,6144,7168,128x128,flydsl,bmm,1,55.912,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1310.69,1078.07,0.0009 -gfx950,256,864,6144,7168,128x128,flydsl,bmm,1,56.675,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb4_sk1_bd3_xcd,1342.78,1074.58,0.0009 -gfx950,256,896,6144,7168,128x128,flydsl,bmm,1,58.818,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1341.76,1046.03,0.0009 -gfx950,256,928,6144,7168,128x128,flydsl,bmm,1,58.53,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1396.53,1061.85,0.0008 -gfx950,256,960,6144,7168,128x128,flydsl,bmm,1,58.74,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2_xcd,1439.51,1068.68,0.0009 -gfx950,256,992,6144,7168,128x128,flydsl,bmm,1,63.391,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1378.36,1000.12,0.0008 -gfx950,256,1024,6144,7168,128x128,flydsl,bmm,1,63.773,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2_xcd,1414.3,1003.92,0.0008 -gfx950,256,1088,6144,7168,128x128,flydsl,bmm,1,64.294,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1490.51,1015.21,0.0009 -gfx950,256,1152,6144,7168,128x128,flydsl,bmm,1,66.804,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb4_sk1_bd3_xcd,1518.9,995.76,0.0009 -gfx950,256,1216,6144,7168,128x128,flydsl,bmm,1,67.539,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,1585.84,1003.41,0.0009 -gfx950,256,1280,6144,7168,128x128,flydsl,bmm,1,67.793,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1663.04,1018.07,0.0009 -gfx950,256,1344,6144,7168,128x128,flydsl,bmm,1,81.003,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1461.43,867.46,0.0009 -gfx950,256,1408,6144,7168,128x128,flydsl,bmm,1,83.637,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1482.8,855.07,0.0009 -gfx950,256,1472,6144,7168,128x128,flydsl,bmm,1,84.158,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,1540.6,864.61,0.0009 -gfx950,256,1536,6144,7168,128x128,flydsl,bmm,1,85.02,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1591.3,870.54,0.0009 -gfx950,256,1600,6144,7168,128x128,flydsl,bmm,1,87.882,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1603.62,856.4,0.0009 -gfx950,256,1664,6144,7168,128x128,flydsl,bmm,1,88.593,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2,1654.37,863.62,0.0008 -gfx950,256,1728,6144,7168,128x128,flydsl,bmm,1,89.743,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1695.98,866.47,0.0009 -gfx950,256,1792,6144,7168,128x128,flydsl,bmm,1,91.466,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1725.67,863.8,0.0009 -gfx950,256,1856,6144,7168,128x128,flydsl,bmm,1,90.908,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1798.26,882.84,0.0009 -gfx950,256,1920,6144,7168,128x128,flydsl,bmm,1,91.395,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1850.36,891.8,0.0008 -gfx950,256,1984,6144,7168,128x128,flydsl,bmm,1,102.702,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,1701.53,805.77,0.0009 -gfx950,256,2048,6144,7168,128x128,flydsl,bmm,1,104.042,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2,1733.8,807.4,0.0009 -gfx950,256,4096,6144,7168,128x128,flydsl,bmm,1,175.623,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,2054.27,705.85,0.0009 -gfx950,256,6144,6144,7168,128x128,flydsl,bmm,1,241.97,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,2236.5,677.46,0.0009 -gfx950,256,8192,6144,7168,128x128,flydsl,bmm,1,321.984,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,2240.96,633.21,0.0009 -gfx950,256,10240,6144,7168,128x128,flydsl,bmm,1,406.41,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,2219.3,600.0,0.0009 -gfx950,256,12288,6144,7168,128x128,flydsl,bmm,1,465.027,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,2327.46,610.3,0.0009 -gfx950,256,14336,6144,7168,128x128,flydsl,bmm,1,556.102,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,2270.66,582.21,0.0009 -gfx950,256,16384,6144,7168,128x128,flydsl,bmm,1,628.378,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd2,2296.56,578.84,0.0009 -gfx950,256,20480,6144,7168,128x128,flydsl,bmm,1,785.917,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd2_xcd,2295.26,564.5,0.0009 -gfx950,256,24576,6144,7168,128x128,flydsl,bmm,1,941.748,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd2,2298.56,555.96,0.0009 -gfx950,256,28672,6144,7168,128x128,flydsl,bmm,1,1072.013,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd2,2355.79,562.95,0.0009 -gfx950,256,32768,6144,7168,128x128,flydsl,bmm,1,1263.288,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd2_xcd,2284.69,540.98,0.0009 -gfx950,256,40960,6144,7168,128x128,flydsl,bmm,1,1587.746,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd2_xcd,2272.26,531.1,0.0009 -gfx950,256,49152,6144,7168,128x128,flydsl,bmm,1,1916.416,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb3_sk1_bd1_xcd_sps,2259.07,523.42,0.0009 -gfx950,256,57344,6144,7168,128x128,flydsl,bmm,1,2232.008,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd_sps,2262.93,521.03,0.0009 -gfx950,256,65536,6144,7168,128x128,flydsl,bmm,1,2569.889,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd_sps,2246.18,514.72,0.0009 -gfx950,256,1,7168,384,128x128,flydsl,bmm,1,3.33,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x1_nb4_sk1_nt,1.65,831.09,0.0007 -gfx950,256,2,7168,384,128x128,flydsl,bmm,1,3.361,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x1_nb4_sk1_nt_sps,3.28,827.65,0.0003 -gfx950,256,4,7168,384,128x128,flydsl,bmm,1,3.275,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb4_sk1_nt_sps,6.72,858.56,0.0005 -gfx950,256,8,7168,384,128x128,flydsl,bmm,1,3.359,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb4_sk1_nt_sps,13.11,854.55,0.0005 -gfx950,256,16,7168,384,128x128,flydsl,bmm,1,3.472,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x1_nb4_sk1_nt,25.37,860.56,0.0003 -gfx950,256,32,7168,384,128x128,flydsl,bmm,1,3.57,flydsl_bmm_mxfp8_mfma_t32x32x128_w1x1_nb4_sk1_nt_sps,49.34,903.01,0.0003 -gfx950,256,48,7168,384,128x128,flydsl,bmm,1,3.711,flydsl_bmm_mxfp8_mfma_t48x32x128_w1x2_nb4_sk1_nt,71.21,932.32,0.0004 -gfx950,256,64,7168,384,128x128,flydsl,bmm,1,3.917,flydsl_bmm_mxfp8_mfma_t64x32x128_w1x2_nb4_sk1_nt,89.96,943.4,0.0004 -gfx950,256,80,7168,384,128x128,flydsl,bmm,1,4.076,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb4_sk1_xcd_sps,108.05,964.29,0.0003 -gfx950,256,96,7168,384,128x128,flydsl,bmm,1,4.189,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb4_sk1_xcd_sps,126.16,994.55,0.0004 -gfx950,256,112,7168,384,128x128,flydsl,bmm,1,4.234,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb4_sk1_xcd_sps,145.61,1039.49,0.0004 -gfx950,256,128,7168,384,128x128,flydsl,bmm,1,4.299,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb4_sk1_xcd_sps,163.92,1078.72,0.0004 -gfx950,256,144,7168,384,128x128,flydsl,bmm,1,4.479,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1_xcd_sps,176.99,1087.91,0.0003 -gfx950,256,160,7168,384,128x128,flydsl,bmm,1,4.55,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb4_sk1_xcd_sps,193.56,1122.61,0.0003 -gfx950,256,176,7168,384,128x128,flydsl,bmm,1,4.669,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb4_sk1_xcd_sps,207.53,1144.65,0.0003 -gfx950,256,192,7168,384,128x128,flydsl,bmm,1,4.793,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1_xcd_sps,220.52,1164.05,0.0003 -gfx950,256,208,7168,384,128x128,flydsl,bmm,1,4.905,flydsl_bmm_mxfp8_mfma_t128x64x128_w1x4_nb4_sk1_bd1_xcd_sps,233.44,1185.53,0.0004 -gfx950,256,224,7168,384,128x128,flydsl,bmm,1,4.976,flydsl_bmm_mxfp8_mfma_t128x64x128_w1x4_nb4_sk1_bd1_xcd_sps,247.83,1216.04,0.0004 -gfx950,256,240,7168,384,128x128,flydsl,bmm,1,5.087,flydsl_bmm_mxfp8_mfma_t128x64x128_w1x4_nb4_sk1_bd1_xcd_sps,259.73,1235.78,0.0003 -gfx950,256,256,7168,384,128x128,flydsl,bmm,1,5.212,flydsl_bmm_mxfp8_mfma_t128x64x128_w1x4_nb4_sk1_bd1_sps,270.39,1251.31,0.0004 -gfx950,256,288,7168,384,128x128,flydsl,bmm,1,5.806,flydsl_bmm_mxfp8_mfma_t192x64x128_w1x4_nb4_sk1_bd1_xcd_sps,273.05,1204.35,0.0004 -gfx950,256,320,7168,384,128x128,flydsl,bmm,1,5.81,flydsl_bmm_mxfp8_mfma_t192x64x128_w1x4_nb4_sk1_bd1_xcd,303.18,1284.58,0.0003 -gfx950,256,352,7168,384,128x128,flydsl,bmm,1,6.016,flydsl_bmm_mxfp8_mfma_t192x64x128_w1x4_nb4_sk1_bd1,322.09,1318.97,0.0003 -gfx950,256,384,7168,384,128x128,flydsl,bmm,1,6.042,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb4_sk1_bd1,349.86,1391.25,0.0004 -gfx950,256,416,7168,384,128x128,flydsl,bmm,1,6.785,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x2_nb4_sk1_bd1,337.54,1308.47,0.0003 -gfx950,256,448,7168,384,128x128,flydsl,bmm,1,6.743,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd1,365.77,1386.51,0.0004 -gfx950,256,480,7168,384,128x128,flydsl,bmm,1,7.008,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1,377.08,1401.3,0.0003 -gfx950,256,512,7168,384,128x128,flydsl,bmm,1,7.018,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_sps,401.62,1466.37,0.0004 -gfx950,256,544,7168,384,128x128,flydsl,bmm,1,7.283,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb3_sk1_bd1,411.17,1477.59,0.0004 -gfx950,256,576,7168,384,128x128,flydsl,bmm,1,7.369,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb3_sk1_bd1,430.3,1524.37,0.0004 -gfx950,256,608,7168,384,128x128,flydsl,bmm,1,7.734,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,432.79,1513.42,0.0003 -gfx950,256,640,7168,384,128x128,flydsl,bmm,1,7.842,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,449.3,1552.68,0.0003 -gfx950,256,672,7168,384,128x128,flydsl,bmm,1,7.938,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,466.03,1593.16,0.0004 -gfx950,256,704,7168,384,128x128,flydsl,bmm,1,8.228,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd1,471.04,1594.35,0.0003 -gfx950,256,736,7168,384,128x128,flydsl,bmm,1,8.255,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd1_sps,490.83,1646.17,0.0004 -gfx950,256,768,7168,384,128x128,flydsl,bmm,1,8.278,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd1,510.72,1698.42,0.0004 -gfx950,256,800,7168,384,128x128,flydsl,bmm,1,8.391,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd1,524.87,1731.81,0.0004 -gfx950,256,832,7168,384,128x128,flydsl,bmm,1,8.461,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_sps,541.32,1773.08,0.0004 -gfx950,256,864,7168,384,128x128,flydsl,bmm,1,8.488,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_sps,560.35,1822.92,0.0004 -gfx950,256,896,7168,384,128x128,flydsl,bmm,1,9.318,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_sps,529.36,1711.18,0.0004 -gfx950,256,928,7168,384,128x128,flydsl,bmm,1,9.483,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_sps,538.7,1731.0,0.0004 -gfx950,256,960,7168,384,128x128,flydsl,bmm,1,9.538,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb3_sk1_bd1_xcd,554.07,1770.43,0.0003 -gfx950,256,992,7168,384,128x128,flydsl,bmm,1,9.534,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb3_sk1_bd1,572.78,1820.59,0.0004 -gfx950,256,1024,7168,384,128x128,flydsl,bmm,1,9.628,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb3_sk1_bd1,585.52,1851.88,0.0004 -gfx950,256,1088,7168,384,128x128,flydsl,bmm,1,9.791,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,611.72,1917.15,0.0004 -gfx950,256,1152,7168,384,128x128,flydsl,bmm,1,9.822,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb3_sk1_bd1,645.64,2006.99,0.0004 -gfx950,256,1216,7168,384,128x128,flydsl,bmm,1,9.972,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_sps,671.27,2071.33,0.0003 -gfx950,256,1280,7168,384,128x128,flydsl,bmm,1,10.588,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb3_sk1_bd1_xcd,665.51,2039.85,0.0004 -gfx950,256,1344,7168,384,128x128,flydsl,bmm,1,11.062,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd1_xcd,668.86,2037.68,0.0004 -gfx950,256,1408,7168,384,128x128,flydsl,bmm,1,11.193,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd1_xcd,692.47,2097.91,0.0004 -gfx950,256,1472,7168,384,128x128,flydsl,bmm,1,11.506,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd1_xcd,704.27,2122.79,0.0004 -gfx950,256,1536,7168,384,128x128,flydsl,bmm,1,10.82,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_xcd,781.49,2344.49,0.0004 -gfx950,256,1600,7168,384,128x128,flydsl,bmm,1,11.302,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_xcd,779.33,2327.86,0.0003 -gfx950,256,1664,7168,384,128x128,flydsl,bmm,1,11.805,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_xcd,775.99,2308.55,0.0004 -gfx950,256,1728,7168,384,128x128,flydsl,bmm,1,11.571,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_xcd,822.09,2436.54,0.0004 -gfx950,256,1792,7168,384,128x128,flydsl,bmm,1,14.056,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_xcd,701.86,2072.94,0.0004 -gfx950,256,1856,7168,384,128x128,flydsl,bmm,1,14.285,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,715.24,2105.58,0.0004 -gfx950,256,1920,7168,384,128x128,flydsl,bmm,1,14.157,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_xcd,746.58,2191.13,0.0004 -gfx950,256,1984,7168,384,128x128,flydsl,bmm,1,14.478,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,754.37,2207.66,0.0003 -gfx950,256,2048,7168,384,128x128,flydsl,bmm,1,15.08,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_xcd,747.65,2182.12,0.0004 -gfx950,256,4096,7168,384,128x128,flydsl,bmm,1,25.397,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_xcd,887.84,2482.88,0.0004 -gfx950,256,6144,7168,384,128x128,flydsl,bmm,1,36.072,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1,937.66,2584.05,0.0004 -gfx950,256,8192,7168,384,128x128,flydsl,bmm,1,46.939,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1_xcd,960.75,2628.15,0.0004 -gfx950,256,10240,7168,384,128x128,flydsl,bmm,1,57.254,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1_xcd,984.59,2681.33,0.0004 -gfx950,256,12288,7168,384,128x128,flydsl,bmm,1,65.072,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1_xcd_sps,1039.55,2822.55,0.0004 -gfx950,256,14336,7168,384,128x128,flydsl,bmm,1,75.5,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1_xcd_sps,1045.3,2832.07,0.0003 -gfx950,256,16384,7168,384,128x128,flydsl,bmm,1,85.327,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1_xcd,1057.04,2859.27,0.0004 -gfx950,256,32768,7168,384,128x128,flydsl,bmm,1,160.371,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1_xcd,1124.82,3025.46,0.0004 -gfx950,256,1,7168,768,128x128,flydsl,bmm,1,3.885,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x1_nb4_sk1_nt,2.83,1421.11,0.0004 -gfx950,256,2,7168,768,128x128,flydsl,bmm,1,3.807,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x1_nb4_sk1_nt_sps,5.78,1453.89,0.0008 -gfx950,256,4,7168,768,128x128,flydsl,bmm,1,3.759,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb4_sk1_nt_sps,11.72,1480.81,0.0005 -gfx950,256,8,7168,768,128x128,flydsl,bmm,1,3.826,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb4_sk1_nt_sps,23.02,1470.6,0.0006 -gfx950,256,16,7168,768,128x128,flydsl,bmm,1,3.933,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb4_sk1_nt_sps,44.79,1461.1,0.0006 -gfx950,256,32,7168,768,128x128,flydsl,bmm,1,4.239,flydsl_bmm_mxfp8_mfma_t32x32x256_w1x2_nb4_sk1_nt_sps,83.11,1412.8,0.0006 -gfx950,256,48,7168,768,128x128,flydsl,bmm,1,4.547,flydsl_bmm_mxfp8_mfma_t48x32x256_w1x2_nb4_sk1_nt_sps,116.22,1370.15,0.0005 -gfx950,256,64,7168,768,128x128,flydsl,bmm,1,4.621,flydsl_bmm_mxfp8_mfma_t64x32x256_w1x2_nb4_sk1_bd2_nt_sps,152.47,1400.52,0.0005 -gfx950,256,80,7168,768,128x128,flydsl,bmm,1,5.042,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd_sps,174.69,1331.59,0.0006 -gfx950,256,96,7168,768,128x128,flydsl,bmm,1,5.08,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd_sps,208.05,1369.2,0.0006 -gfx950,256,112,7168,768,128x128,flydsl,bmm,1,5.157,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1_bd2_xcd,239.1,1395.6,0.0006 -gfx950,256,128,7168,768,128x128,flydsl,bmm,1,5.232,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1_bd2_xcd,269.36,1421.89,0.0006 -gfx950,256,144,7168,768,128x128,flydsl,bmm,1,5.599,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb6_sk1_bd3_xcd_sps,283.14,1371.78,0.0006 -gfx950,256,160,7168,768,128x128,flydsl,bmm,1,5.63,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb6_sk1_bd2_xcd_sps,312.88,1407.22,0.0006 -gfx950,256,176,7168,768,128x128,flydsl,bmm,1,5.781,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb6_sk1_bd2_xcd,335.2,1412.36,0.0005 -gfx950,256,192,7168,768,128x128,flydsl,bmm,1,5.954,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb6_sk1_bd2,355.06,1411.96,0.0006 -gfx950,256,208,7168,768,128x128,flydsl,bmm,1,6.277,flydsl_bmm_mxfp8_mfma_t128x64x128_w1x4_nb5_sk1_bd2_xcd_sps,364.82,1377.69,0.0005 -gfx950,256,224,7168,768,128x128,flydsl,bmm,1,6.298,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb5_sk1_bd2_xcd,391.58,1411.51,0.0006 -gfx950,256,240,7168,768,128x128,flydsl,bmm,1,6.468,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb5_sk1_bd2_xcd,408.53,1411.8,0.0006 -gfx950,256,256,7168,768,128x128,flydsl,bmm,1,6.668,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb5_sk1_bd2_xcd,422.69,1405.72,0.0006 -gfx950,256,288,7168,768,128x128,flydsl,bmm,1,7.709,flydsl_bmm_mxfp8_mfma_t192x64x128_w2x2_nb4_sk1_bd2_xcd,411.32,1278.63,0.0006 -gfx950,256,320,7168,768,128x128,flydsl,bmm,1,7.788,flydsl_bmm_mxfp8_mfma_t192x64x128_w2x2_nb4_sk1_bd2_xcd,452.4,1327.78,0.0005 -gfx950,256,352,7168,768,128x128,flydsl,bmm,1,7.817,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1,495.79,1384.72,0.0005 -gfx950,256,384,7168,768,128x128,flydsl,bmm,1,7.93,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_xcd,533.11,1425.84,0.0005 -gfx950,256,416,7168,768,128x128,flydsl,bmm,1,8.675,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb3_sk1,527.97,1359.2,0.0006 -gfx950,256,448,7168,768,128x128,flydsl,bmm,1,8.586,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_sps,574.48,1429.61,0.0006 -gfx950,256,480,7168,768,128x128,flydsl,bmm,1,8.831,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_sps,598.43,1444.67,0.0006 -gfx950,256,512,7168,768,128x128,flydsl,bmm,1,9.018,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd,625.12,1468.42,0.0005 -gfx950,256,544,7168,768,128x128,flydsl,bmm,1,10.186,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd1_sps,588.02,1347.47,0.0005 -gfx950,256,576,7168,768,128x128,flydsl,bmm,1,10.214,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd1,620.91,1391.14,0.0006 -gfx950,256,608,7168,768,128x128,flydsl,bmm,1,10.827,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd1,618.26,1356.95,0.0006 -gfx950,256,640,7168,768,128x128,flydsl,bmm,1,10.911,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd1_sps,645.81,1390.87,0.0006 -gfx950,256,672,7168,768,128x128,flydsl,bmm,1,10.845,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,682.24,1443.94,0.0006 -gfx950,256,704,7168,768,128x128,flydsl,bmm,1,10.982,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,705.77,1469.88,0.0006 -gfx950,256,736,7168,768,128x128,flydsl,bmm,1,11.078,flydsl_bmm_mxfp8_mfma_t192x128x128_w2x2_nb3_sk1_bd2,731.47,1500.81,0.0005 -gfx950,256,768,7168,768,128x128,flydsl,bmm,1,11.173,flydsl_bmm_mxfp8_mfma_t192x128x128_w2x2_nb3_sk1_bd2,756.82,1531.4,0.0006 -gfx950,256,800,7168,768,128x128,flydsl,bmm,1,11.433,flydsl_bmm_mxfp8_mfma_t96x128x128_w2x2_nb3_sk1_bd1,770.41,1538.84,0.0005 -gfx950,256,832,7168,768,128x128,flydsl,bmm,1,11.456,flydsl_bmm_mxfp8_mfma_t96x128x128_w2x2_nb3_sk1_bd1,799.63,1577.97,0.0005 -gfx950,256,864,7168,768,128x128,flydsl,bmm,1,11.318,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,840.48,1639.88,0.0006 -gfx950,256,896,7168,768,128x128,flydsl,bmm,1,12.292,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb2_sk1_sps,802.58,1549.34,0.0005 -gfx950,256,928,7168,768,128x128,flydsl,bmm,1,13.135,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb2_sk1,777.86,1486.66,0.0006 -gfx950,256,960,7168,768,128x128,flydsl,bmm,1,13.098,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb2_sk1,807.0,1527.84,0.0006 -gfx950,256,992,7168,768,128x128,flydsl,bmm,1,13.303,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb2_sk1,821.03,1540.63,0.0005 -gfx950,256,1024,7168,768,128x128,flydsl,bmm,1,13.143,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1,857.84,1596.17,0.0005 -gfx950,256,1088,7168,768,128x128,flydsl,bmm,1,13.435,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb2_sk1_sps,891.64,1633.46,0.0006 -gfx950,256,1152,7168,768,128x128,flydsl,bmm,1,13.901,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb2_sk1_xcd_sps,912.41,1648.22,0.0005 -gfx950,256,1216,7168,768,128x128,flydsl,bmm,1,15.994,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_sps,837.06,1492.97,0.0006 -gfx950,256,1280,7168,768,128x128,flydsl,bmm,1,15.539,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1_sps,906.94,1598.96,0.0005 -gfx950,256,1344,7168,768,128x128,flydsl,bmm,1,15.666,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1_xcd,944.58,1647.76,0.0005 -gfx950,256,1408,7168,768,128x128,flydsl,bmm,1,16.012,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1_xcd,968.14,1672.48,0.0006 -gfx950,256,1472,7168,768,128x128,flydsl,bmm,1,15.828,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb6_sk1_bd1,1023.92,1753.02,0.0006 -gfx950,256,1536,7168,768,128x128,flydsl,bmm,1,15.978,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1,1058.39,1797.07,0.0006 -gfx950,256,1600,7168,768,128x128,flydsl,bmm,1,16.145,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1,1091.13,1838.45,0.0006 -gfx950,256,1664,7168,768,128x128,flydsl,bmm,1,16.167,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1,1133.23,1895.77,0.0006 -gfx950,256,1728,7168,768,128x128,flydsl,bmm,1,16.405,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1,1159.73,1927.19,0.0006 -gfx950,256,1792,7168,768,128x128,flydsl,bmm,1,20.261,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1,973.8,1608.15,0.0005 -gfx950,256,1856,7168,768,128x128,flydsl,bmm,1,19.399,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_xcd,1053.41,1729.48,0.0006 -gfx950,256,1920,7168,768,128x128,flydsl,bmm,1,19.798,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1067.75,1743.44,0.0006 -gfx950,256,1984,7168,768,128x128,flydsl,bmm,1,19.563,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd1,1116.61,1813.83,0.0005 -gfx950,256,2048,7168,768,128x128,flydsl,bmm,1,21.588,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1044.51,1688.49,0.0005 -gfx950,256,4096,7168,768,128x128,flydsl,bmm,1,38.814,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,1161.89,1736.4,0.0005 -gfx950,256,6144,7168,768,128x128,flydsl,bmm,1,56.315,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,1201.2,1746.27,0.0006 -gfx950,256,8192,7168,768,128x128,flydsl,bmm,1,71.095,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1,1268.64,1818.5,0.0006 -gfx950,256,10240,7168,768,128x128,flydsl,bmm,1,84.373,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1,1336.25,1899.1,0.0006 -gfx950,256,12288,7168,768,128x128,flydsl,bmm,1,94.752,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb5_sk1_bd1,1427.85,2017.66,0.0006 -gfx950,256,14336,7168,768,128x128,flydsl,bmm,1,110.603,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb5_sk1_bd1,1427.09,2008.29,0.0005 -gfx950,256,16384,7168,768,128x128,flydsl,bmm,1,126.698,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb5_sk1_bd1,1423.76,1997.4,0.0006 -gfx950,256,20480,7168,768,128x128,flydsl,bmm,1,149.176,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1,1511.54,2111.32,0.0005 -gfx950,256,24576,7168,768,128x128,flydsl,bmm,1,185.136,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb6_sk1_bd1,1461.54,2035.53,0.0005 -gfx950,256,28672,7168,768,128x128,flydsl,bmm,1,202.904,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb5_sk1_bd1,1555.81,2162.3,0.0006 -gfx950,256,32768,7168,768,128x128,flydsl,bmm,1,232.049,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1,1554.74,2157.43,0.0006 -gfx950,256,40960,7168,768,128x128,flydsl,bmm,1,281.919,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1,1599.65,2214.86,0.0005 -gfx950,256,49152,7168,768,128x128,flydsl,bmm,1,351.096,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1541.36,2131.02,0.0006 -gfx950,256,57344,7168,768,128x128,flydsl,bmm,1,382.587,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb5_sk1_bd1,1650.24,2279.15,0.0006 -gfx950,256,65536,7168,768,128x128,flydsl,bmm,1,431.844,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd1,1670.87,2305.82,0.0005 -gfx950,256,1,7168,1024,128x128,flydsl,bmm,1,3.993,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_sps,3.68,1842.12,0.0007 -gfx950,256,2,7168,1024,128x128,flydsl,bmm,1,4.105,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x1_nb9_sk1_nt_sps,7.15,1795.65,0.0008 -gfx950,256,4,7168,1024,128x128,flydsl,bmm,1,4.046,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb8_sk1_nt_sps,14.51,1829.65,0.0006 -gfx950,256,8,7168,1024,128x128,flydsl,bmm,1,4.132,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_sps,28.42,1806.39,0.0007 -gfx950,256,16,7168,1024,128x128,flydsl,bmm,1,4.17,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_sps,56.33,1819.34,0.0006 -gfx950,256,32,7168,1024,128x128,flydsl,bmm,1,4.56,flydsl_bmm_mxfp8_mfma_t32x32x128_w1x2_nb6_sk1_nt,103.01,1717.5,0.0007 -gfx950,256,64,7168,1024,128x128,flydsl,bmm,1,5.122,flydsl_bmm_mxfp8_mfma_t64x32x512_w4x1_nb3_sk1_nt_sps,183.42,1625.09,0.0006 -gfx950,256,128,7168,1024,128x128,flydsl,bmm,1,5.967,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1_bd2_xcd,314.92,1559.89,0.0006 -gfx950,256,256,7168,1024,128x128,flydsl,bmm,1,7.474,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk1_bd2_xcd,502.8,1508.47,0.0006 -gfx950,256,512,7168,1024,128x128,flydsl,bmm,1,10.537,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb3_sk1_xcd,713.3,1443.35,0.0006 -gfx950,256,1024,7168,1024,128x128,flydsl,bmm,1,15.736,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x1_nb3_sk1,955.28,1466.51,0.0006 -gfx950,256,2048,7168,1024,128x128,flydsl,bmm,1,25.448,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1,1181.44,1525.26,0.0006 -gfx950,256,4096,7168,1024,128x128,flydsl,bmm,1,47.682,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1261.05,1474.09,0.0006 -gfx950,256,8192,7168,1024,128x128,flydsl,bmm,1,86.086,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,1396.96,1547.69,0.0007 -gfx950,256,16384,7168,1024,128x128,flydsl,bmm,1,152.439,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd_sps,1577.8,1699.9,0.0006 -gfx950,256,32768,7168,1024,128x128,flydsl,bmm,1,293.314,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd_sps,1640.01,1741.89,0.0007 -gfx950,256,1,7168,2048,128x128,flydsl,bmm,1,5.08,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt,5.78,2893.28,0.0003 -gfx950,256,2,7168,2048,128x128,flydsl,bmm,1,5.12,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt,11.47,2873.84,0.0009 -gfx950,256,4,7168,2048,128x128,flydsl,bmm,1,5.15,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb10_sk1_nt_sps,22.8,2863.22,0.0007 -gfx950,256,8,7168,2048,128x128,flydsl,bmm,1,5.166,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb11_sk1_nt_sps,45.47,2867.39,0.0009 -gfx950,256,16,7168,2048,128x128,flydsl,bmm,1,5.231,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_sps,89.8,2856.53,0.0008 -gfx950,256,32,7168,2048,128x128,flydsl,bmm,1,5.83,flydsl_bmm_mxfp8_mfma_t32x32x128_w1x2_nb8_sk1_sps,161.16,2608.26,0.0008 -gfx950,256,48,7168,2048,128x128,flydsl,bmm,1,6.367,flydsl_bmm_mxfp8_mfma_t48x32x128_w1x2_nb8_sk1_sps,221.34,2429.35,0.0007 -gfx950,256,64,7168,2048,128x128,flydsl,bmm,1,6.801,flydsl_bmm_mxfp8_mfma_t64x32x512_w4x1_nb3_sk1_nt,276.29,2312.94,0.0009 -gfx950,256,80,7168,2048,128x128,flydsl,bmm,1,7.34,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,320.0,2178.89,0.0007 -gfx950,256,96,7168,2048,128x128,flydsl,bmm,1,7.491,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd,376.26,2170.0,0.0008 -gfx950,256,112,7168,2048,128x128,flydsl,bmm,1,7.669,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd,428.81,2153.97,0.0008 -gfx950,256,128,7168,2048,128x128,flydsl,bmm,1,7.913,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd,474.94,2120.63,0.0009 -gfx950,256,144,7168,2048,128x128,flydsl,bmm,1,8.568,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1_xcd,493.44,1989.06,0.0008 -gfx950,256,160,7168,2048,128x128,flydsl,bmm,1,8.667,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1_xcd,542.03,1996.7,0.0008 -gfx950,256,176,7168,2048,128x128,flydsl,bmm,1,8.742,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1_xcd,591.09,2009.52,0.0008 -gfx950,256,192,7168,2048,128x128,flydsl,bmm,1,8.962,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1_xcd,628.99,1989.42,0.0008 -gfx950,256,208,7168,2048,128x128,flydsl,bmm,1,9.686,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk1,630.49,1867.87,0.0007 -gfx950,256,224,7168,2048,128x128,flydsl,bmm,1,9.838,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,668.49,1865.67,0.0008 -gfx950,256,240,7168,2048,128x128,flydsl,bmm,1,9.87,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk1_xcd,713.94,1886.25,0.0008 -gfx950,256,256,7168,2048,128x128,flydsl,bmm,1,10.515,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk1_xcd,714.81,1795.47,0.0008 -gfx950,256,288,7168,2048,128x128,flydsl,bmm,1,12.937,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,653.59,1499.85,0.0008 -gfx950,256,320,7168,2048,128x128,flydsl,bmm,1,12.165,flydsl_bmm_mxfp8_mfma_t192x64x128_w4x2_nb4_sk1,772.3,1638.18,0.0008 -gfx950,256,352,7168,2048,128x128,flydsl,bmm,1,14.022,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd_sps,737.03,1458.67,0.0008 -gfx950,256,384,7168,2048,128x128,flydsl,bmm,1,14.252,flydsl_bmm_mxfp8_mfma_t192x64x128_w4x2_nb4_sk1,791.04,1471.93,0.0008 -gfx950,256,416,7168,2048,128x128,flydsl,bmm,1,14.847,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1_xcd,822.64,1448.32,0.0008 -gfx950,256,448,7168,2048,128x128,flydsl,bmm,1,14.162,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_xcd,928.76,1555.42,0.0008 -gfx950,256,480,7168,2048,128x128,flydsl,bmm,1,14.27,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb3_sk1_xcd,987.58,1580.44,0.0008 -gfx950,256,512,7168,2048,128x128,flydsl,bmm,1,14.423,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb3_sk1_xcd,1042.23,1600.04,0.0008 -gfx950,256,544,7168,2048,128x128,flydsl,bmm,1,16.657,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,958.89,1417.01,0.0008 -gfx950,256,576,7168,2048,128x128,flydsl,bmm,1,17.002,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,994.69,1419.12,0.0008 -gfx950,256,608,7168,2048,128x128,flydsl,bmm,1,18.059,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,988.46,1365.06,0.0008 -gfx950,256,640,7168,2048,128x128,flydsl,bmm,1,17.975,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1045.35,1400.64,0.0008 -gfx950,256,672,7168,2048,128x128,flydsl,bmm,1,18.321,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1076.93,1402.89,0.0008 -gfx950,256,704,7168,2048,128x128,flydsl,bmm,1,17.889,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1155.43,1466.07,0.0008 -gfx950,256,736,7168,2048,128x128,flydsl,bmm,1,18.38,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1175.65,1455.42,0.0008 -gfx950,256,768,7168,2048,128x128,flydsl,bmm,1,18.361,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1228.06,1485.54,0.0008 -gfx950,256,800,7168,2048,128x128,flydsl,bmm,1,21.447,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1095.17,1296.26,0.0008 -gfx950,256,832,7168,2048,128x128,flydsl,bmm,1,21.75,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1123.09,1302.31,0.0008 -gfx950,256,864,7168,2048,128x128,flydsl,bmm,1,21.665,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1170.88,1331.66,0.0008 -gfx950,256,896,7168,2048,128x128,flydsl,bmm,1,22.029,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1194.17,1333.47,0.0008 -gfx950,256,928,7168,2048,128x128,flydsl,bmm,1,22.093,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1233.23,1353.35,0.0008 -gfx950,256,960,7168,2048,128x128,flydsl,bmm,1,22.213,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1_xcd,1268.86,1369.67,0.0008 -gfx950,256,992,7168,2048,128x128,flydsl,bmm,1,22.093,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1318.31,1400.89,0.0007 -gfx950,256,1024,7168,2048,128x128,flydsl,bmm,1,24.813,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x1_nb2_sk1,1211.65,1268.46,0.0008 -gfx950,256,1088,7168,2048,128x128,flydsl,bmm,1,25.133,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb2_sk1_xcd,1270.98,1294.08,0.0008 -gfx950,256,1152,7168,2048,128x128,flydsl,bmm,1,25.023,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd,1351.66,1341.7,0.0008 -gfx950,256,1216,7168,2048,128x128,flydsl,bmm,1,29.745,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1200.27,1164.01,0.0008 -gfx950,256,1280,7168,2048,128x128,flydsl,bmm,1,30.209,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1244.05,1180.89,0.0008 -gfx950,256,1344,7168,2048,128x128,flydsl,bmm,1,30.128,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x2_nb3_sk1_bd2_xcd,1309.76,1218.89,0.0008 -gfx950,256,1408,7168,2048,128x128,flydsl,bmm,1,31.15,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1327.08,1212.57,0.0008 -gfx950,256,1472,7168,2048,128x128,flydsl,bmm,1,32.399,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1333.93,1198.24,0.0008 -gfx950,256,1536,7168,2048,128x128,flydsl,bmm,1,32.8,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1374.92,1215.6,0.0008 -gfx950,256,1600,7168,2048,128x128,flydsl,bmm,1,32.654,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1438.62,1253.18,0.0008 -gfx950,256,1664,7168,2048,128x128,flydsl,bmm,1,34.032,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1435.56,1233.26,0.0008 -gfx950,256,1728,7168,2048,128x128,flydsl,bmm,1,33.867,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1498.06,1270.28,0.0008 -gfx950,256,1792,7168,2048,128x128,flydsl,bmm,1,42.512,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1237.6,1036.63,0.0008 -gfx950,256,1856,7168,2048,128x128,flydsl,bmm,1,37.803,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_xcd,1441.48,1193.54,0.0008 -gfx950,256,1920,7168,2048,128x128,flydsl,bmm,1,39.545,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_xcd,1425.52,1167.52,0.0008 -gfx950,256,1984,7168,2048,128x128,flydsl,bmm,1,38.28,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd2_xcd,1521.7,1233.51,0.0008 -gfx950,256,2048,7168,2048,128x128,flydsl,bmm,1,41.58,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1446.11,1160.85,0.0008 -gfx950,256,4096,7168,2048,128x128,flydsl,bmm,1,75.297,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1597.13,1087.1,0.0008 -gfx950,256,6144,7168,2048,128x128,flydsl,bmm,1,109.773,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1643.29,1051.65,0.0008 -gfx950,256,8192,7168,2048,128x128,flydsl,bmm,1,138.049,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1742.27,1079.54,0.0008 -gfx950,256,10240,7168,2048,128x128,flydsl,bmm,1,165.552,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1816.03,1103.08,0.0008 -gfx950,256,12288,7168,2048,128x128,flydsl,bmm,1,195.058,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1849.59,1108.41,0.0008 -gfx950,256,14336,7168,2048,128x128,flydsl,bmm,1,224.184,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1877.51,1114.23,0.0008 -gfx950,256,16384,7168,2048,128x128,flydsl,bmm,1,250.568,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1919.79,1130.95,0.0008 -gfx950,256,20480,7168,2048,128x128,flydsl,bmm,1,307.997,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1952.27,1138.17,0.0008 -gfx950,256,24576,7168,2048,128x128,flydsl,bmm,1,369.838,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1951.0,1129.49,0.0008 -gfx950,256,28672,7168,2048,128x128,flydsl,bmm,1,428.722,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1963.54,1131.04,0.0008 -gfx950,256,32768,7168,2048,128x128,flydsl,bmm,1,500.908,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1920.66,1102.15,0.0008 -gfx950,256,40960,7168,2048,128x128,flydsl,bmm,1,603.411,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1992.99,1137.57,0.0008 -gfx950,256,49152,7168,2048,128x128,flydsl,bmm,1,720.429,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,2003.12,1139.28,0.0008 -gfx950,256,57344,7168,2048,128x128,flydsl,bmm,1,842.83,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,1997.59,1133.23,0.0008 -gfx950,256,65536,7168,2048,128x128,flydsl,bmm,1,982.429,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1958.56,1108.96,0.0008 -gfx950,256,1,7168,3072,128x128,flydsl,bmm,1,6.054,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb6_sk1_nt_sps,7.27,3640.35,0.0003 -gfx950,256,2,7168,3072,128x128,flydsl,bmm,1,6.078,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb7_sk1_nt_sps,14.49,3629.08,0.0008 -gfx950,256,4,7168,3072,128x128,flydsl,bmm,1,6.119,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb8_sk1_nt_sps,28.79,3610.22,0.0008 -gfx950,256,8,7168,3072,128x128,flydsl,bmm,1,6.169,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb8_sk1_nt_sps,57.11,3592.34,0.0009 -gfx950,256,16,7168,3072,128x128,flydsl,bmm,1,6.393,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb6_sk1_bd3_sps,110.23,3488.38,0.0007 -gfx950,256,32,7168,3072,128x128,flydsl,bmm,1,7.037,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb6_sk1_bd3,200.27,3208.75,0.0009 -gfx950,256,48,7168,3072,128x128,flydsl,bmm,1,8.088,flydsl_bmm_mxfp8_mfma_t48x32x512_w1x2_nb6_sk1_bd3_nt,261.38,2826.34,0.0008 -gfx950,256,64,7168,3072,128x128,flydsl,bmm,1,8.588,flydsl_bmm_mxfp8_mfma_t64x32x512_w4x1_nb3_sk1_nt,328.18,2693.96,0.0009 -gfx950,256,80,7168,3072,128x128,flydsl,bmm,1,9.743,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2,361.61,2403.34,0.0008 -gfx950,256,96,7168,3072,128x128,flydsl,bmm,1,9.727,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,434.66,2436.04,0.0008 -gfx950,256,112,7168,3072,128x128,flydsl,bmm,1,10.312,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd,478.33,2324.89,0.0008 -gfx950,256,128,7168,3072,128x128,flydsl,bmm,1,10.575,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1_xcd,533.05,2293.35,0.0008 -gfx950,256,144,7168,3072,128x128,flydsl,bmm,1,11.242,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1_xcd,564.12,2182.18,0.0008 -gfx950,256,160,7168,3072,128x128,flydsl,bmm,1,11.482,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1,613.67,2160.76,0.0008 -gfx950,256,176,7168,3072,128x128,flydsl,bmm,1,11.307,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb5_sk1_bd2_xcd,685.51,2218.93,0.0008 -gfx950,256,192,7168,3072,128x128,flydsl,bmm,1,11.783,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb5_sk1_bd2,717.64,2153.02,0.0008 -gfx950,256,208,7168,3072,128x128,flydsl,bmm,1,14.43,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk1_xcd,634.8,1777.33,0.0008 -gfx950,256,224,7168,3072,128x128,flydsl,bmm,1,14.338,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk1,688.05,1808.25,0.0008 -gfx950,256,240,7168,3072,128x128,flydsl,bmm,1,13.665,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x4_nb4_sk1,773.47,1917.66,0.0008 -gfx950,256,256,7168,3072,128x128,flydsl,bmm,1,14.433,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk1,781.14,1834.95,0.0008 -gfx950,256,288,7168,3072,128x128,flydsl,bmm,1,16.637,flydsl_bmm_mxfp8_mfma_t96x128x128_w2x2_nb4_sk1,762.38,1625.42,0.0008 -gfx950,256,320,7168,3072,128x128,flydsl,bmm,1,17.14,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2_xcd,822.21,1610.23,0.0008 -gfx950,256,352,7168,3072,128x128,flydsl,bmm,1,17.216,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2_xcd,900.43,1635.5,0.0008 -gfx950,256,384,7168,3072,128x128,flydsl,bmm,1,17.54,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_xcd,964.14,1637.09,0.0008 -gfx950,256,416,7168,3072,128x128,flydsl,bmm,1,18.52,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,989.21,1580.58,0.0008 -gfx950,256,448,7168,3072,128x128,flydsl,bmm,1,18.861,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1046.07,1581.61,0.0008 -gfx950,256,480,7168,3072,128x128,flydsl,bmm,1,18.948,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,1115.66,1603.82,0.0008 -gfx950,256,512,7168,3072,128x128,flydsl,bmm,1,19.404,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1162.05,1594.84,0.0008 -gfx950,256,544,7168,3072,128x128,flydsl,bmm,1,23.582,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1015.95,1335.97,0.0008 -gfx950,256,576,7168,3072,128x128,flydsl,bmm,1,23.474,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1080.63,1365.84,0.0008 -gfx950,256,608,7168,3072,128x128,flydsl,bmm,1,24.684,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1084.77,1321.51,0.0008 -gfx950,256,640,7168,3072,128x128,flydsl,bmm,1,24.84,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1134.71,1335.69,0.0008 -gfx950,256,672,7168,3072,128x128,flydsl,bmm,1,24.807,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1193.02,1359.94,0.0008 -gfx950,256,704,7168,3072,128x128,flydsl,bmm,1,25.306,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1225.18,1355.16,0.0008 -gfx950,256,736,7168,3072,128x128,flydsl,bmm,1,25.014,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1295.82,1393.28,0.0008 -gfx950,256,768,7168,3072,128x128,flydsl,bmm,1,25.873,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1307.28,1368.59,0.0008 -gfx950,256,800,7168,3072,128x128,flydsl,bmm,1,30.757,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_xcd,1145.51,1169.4,0.0008 -gfx950,256,832,7168,3072,128x128,flydsl,bmm,1,30.488,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2_xcd,1201.83,1198.01,0.0008 -gfx950,256,864,7168,3072,128x128,flydsl,bmm,1,30.948,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1229.52,1198.24,0.0008 -gfx950,256,896,7168,3072,128x128,flydsl,bmm,1,30.663,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1286.88,1227.54,0.0008 -gfx950,256,928,7168,3072,128x128,flydsl,bmm,1,31.716,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1288.6,1204.39,0.0008 -gfx950,256,960,7168,3072,128x128,flydsl,bmm,1,31.274,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1_xcd,1351.86,1239.23,0.0008 -gfx950,256,992,7168,3072,128x128,flydsl,bmm,1,31.44,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1389.58,1250.46,0.0008 -gfx950,256,1024,7168,3072,128x128,flydsl,bmm,1,32.83,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1373.65,1214.49,0.0008 -gfx950,256,1088,7168,3072,128x128,flydsl,bmm,1,35.64,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd,1344.43,1150.04,0.0008 -gfx950,256,1152,7168,3072,128x128,flydsl,bmm,1,35.38,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd,1433.96,1190.01,0.0008 -gfx950,256,1216,7168,3072,128x128,flydsl,bmm,1,43.022,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb2_sk1_bd1_xcd,1244.77,1004.57,0.0008 -gfx950,256,1280,7168,3072,128x128,flydsl,bmm,1,39.75,flydsl_bmm_mxfp8_mfma_t144x128x128_w1x2_nb2_sk1_bd1_xcd,1418.15,1115.33,0.0008 -gfx950,256,1344,7168,3072,128x128,flydsl,bmm,1,43.713,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x2_nb2_sk1_bd1_xcd,1354.07,1039.75,0.0008 -gfx950,256,1408,7168,3072,128x128,flydsl,bmm,1,44.888,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x2_nb3_sk1_bd2,1381.41,1037.38,0.0008 -gfx950,256,1472,7168,3072,128x128,flydsl,bmm,1,44.902,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x2_nb3_sk1_bd2,1443.76,1061.9,0.0008 -gfx950,256,1536,7168,3072,128x128,flydsl,bmm,1,45.472,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x2_nb3_sk1_bd2_xcd,1487.64,1073.13,0.0008 -gfx950,256,1600,7168,3072,128x128,flydsl,bmm,1,47.484,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x2_nb3_sk1_bd2_sps,1483.97,1051.15,0.0008 -gfx950,256,1664,7168,3072,128x128,flydsl,bmm,1,48.287,flydsl_bmm_mxfp8_mfma_t192x256x128_w4x2_nb2_sk1_xcd_sps,1517.65,1056.77,0.0008 -gfx950,256,1728,7168,3072,128x128,flydsl,bmm,1,47.3,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x2_nb3_sk1_bd2_xcd_sps,1608.92,1102.41,0.0008 -gfx950,256,1792,7168,3072,128x128,flydsl,bmm,1,53.287,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,1481.04,999.49,0.0008 -gfx950,256,1856,7168,3072,128x128,flydsl,bmm,1,54.01,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1513.4,1006.77,0.0008 -gfx950,256,1920,7168,3072,128x128,flydsl,bmm,1,54.699,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1545.86,1014.48,0.0008 -gfx950,256,1984,7168,3072,128x128,flydsl,bmm,1,55.208,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,1582.66,1025.33,0.0008 -gfx950,256,2048,7168,3072,128x128,flydsl,bmm,1,55.924,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1612.81,1032.16,0.0008 -gfx950,256,4096,7168,3072,128x128,flydsl,bmm,1,101.807,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1771.86,917.64,0.0008 -gfx950,256,6144,7168,3072,128x128,flydsl,bmm,1,147.641,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1832.71,874.58,0.0008 -gfx950,256,8192,7168,3072,128x128,flydsl,bmm,1,190.217,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,1896.66,866.51,0.0008 -gfx950,256,10240,7168,3072,128x128,flydsl,bmm,1,230.965,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,1952.55,868.2,0.0008 -gfx950,256,12288,7168,3072,128x128,flydsl,bmm,1,269.899,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2,2005.07,875.24,0.0008 -gfx950,256,14336,7168,3072,128x128,flydsl,bmm,1,311.769,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,2025.09,872.21,0.0008 -gfx950,256,16384,7168,3072,128x128,flydsl,bmm,1,344.136,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2096.72,893.91,0.0008 -gfx950,256,20480,7168,3072,128x128,flydsl,bmm,1,421.856,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2138.04,898.48,0.0008 -gfx950,256,24576,7168,3072,128x128,flydsl,bmm,1,513.74,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2106.77,876.77,0.0008 -gfx950,256,28672,7168,3072,128x128,flydsl,bmm,1,599.587,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2105.98,870.32,0.0008 -gfx950,256,32768,7168,3072,128x128,flydsl,bmm,1,677.616,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,2129.69,875.47,0.0008 -gfx950,256,40960,7168,3072,128x128,flydsl,bmm,1,844.234,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2136.71,871.84,0.0008 -gfx950,256,49152,7168,3072,128x128,flydsl,bmm,1,1003.634,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2156.82,875.66,0.0008 -gfx950,256,57344,7168,3072,128x128,flydsl,bmm,1,1180.748,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,2138.85,865.25,0.0008 -gfx950,256,65536,7168,3072,128x128,flydsl,bmm,1,1339.295,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,2155.03,869.45,0.0008 -gfx950,256,1,7168,4096,128x128,flydsl,bmm,1,7.233,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_xcd_sps,8.12,4062.03,0.0007 -gfx950,256,2,7168,4096,128x128,flydsl,bmm,1,7.198,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb8_sk1_nt_xcd_sps,16.32,4084.26,0.0006 -gfx950,256,4,7168,4096,128x128,flydsl,bmm,1,7.259,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb10_sk1_nt_xcd,32.36,4055.18,0.0006 -gfx950,256,8,7168,4096,128x128,flydsl,bmm,1,7.346,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb10_sk1_nt_xcd,63.94,4016.9,0.0008 -gfx950,256,16,7168,4096,128x128,flydsl,bmm,1,7.56,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_xcd,124.27,3922.7,0.0008 -gfx950,256,32,7168,4096,128x128,flydsl,bmm,1,8.528,flydsl_bmm_mxfp8_mfma_t32x32x128_w1x2_nb8_sk1_xcd,220.34,3512.25,0.0008 -gfx950,256,48,7168,4096,128x128,flydsl,bmm,1,9.515,flydsl_bmm_mxfp8_mfma_t48x32x128_w1x2_nb8_sk1_xcd,296.22,3178.95,0.0009 -gfx950,256,64,7168,4096,128x128,flydsl,bmm,1,10.462,flydsl_bmm_mxfp8_mfma_t64x32x512_w4x1_nb3_sk1_nt,359.23,2919.59,0.0009 -gfx950,256,80,7168,4096,128x128,flydsl,bmm,1,11.544,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,406.94,2671.5,0.0009 -gfx950,256,96,7168,4096,128x128,flydsl,bmm,1,11.983,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd_sps,470.43,2598.24,0.0009 -gfx950,256,112,7168,4096,128x128,flydsl,bmm,1,12.297,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2_sps,534.84,2555.98,0.0009 -gfx950,256,128,7168,4096,128x128,flydsl,bmm,1,12.645,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1_xcd,594.4,2508.92,0.0008 -gfx950,256,144,7168,4096,128x128,flydsl,bmm,1,14.672,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1_xcd,576.33,2182.5,0.0008 -gfx950,256,160,7168,4096,128x128,flydsl,bmm,1,14.287,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1_xcd,657.59,2261.87,0.0008 -gfx950,256,176,7168,4096,128x128,flydsl,bmm,1,14.723,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1,701.93,2214.95,0.0009 -gfx950,256,192,7168,4096,128x128,flydsl,bmm,1,15.055,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk1_xcd,748.87,2185.77,0.0008 -gfx950,256,208,7168,4096,128x128,flydsl,bmm,1,16.31,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk1,748.83,2035.65,0.0008 -gfx950,256,224,7168,4096,128x128,flydsl,bmm,1,16.41,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk1,801.55,2041.33,0.0008 -gfx950,256,240,7168,4096,128x128,flydsl,bmm,1,16.621,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk1,847.91,2033.2,0.0008 -gfx950,256,256,7168,4096,128x128,flydsl,bmm,1,17.196,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk1_xcd,874.18,1982.37,0.0009 -gfx950,256,288,7168,4096,128x128,flydsl,bmm,1,21.58,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,783.65,1607.01,0.0008 -gfx950,256,320,7168,4096,128x128,flydsl,bmm,1,21.245,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd2,884.47,1660.19,0.0008 -gfx950,256,352,7168,4096,128x128,flydsl,bmm,1,20.691,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb5_sk1_bd2,998.96,1733.19,0.0008 -gfx950,256,384,7168,4096,128x128,flydsl,bmm,1,22.422,flydsl_bmm_mxfp8_mfma_t192x64x128_w4x2_nb4_sk1,1005.64,1625.72,0.0009 -gfx950,256,416,7168,4096,128x128,flydsl,bmm,1,22.955,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,1064.17,1613.74,0.0008 -gfx950,256,448,7168,4096,128x128,flydsl,bmm,1,23.39,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,1124.69,1608.95,0.0008 -gfx950,256,480,7168,4096,128x128,flydsl,bmm,1,23.882,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,1180.19,1600.54,0.0008 -gfx950,256,512,7168,4096,128x128,flydsl,bmm,1,25.237,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1191.31,1538.06,0.0008 -gfx950,256,544,7168,4096,128x128,flydsl,bmm,1,29.735,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1074.29,1325.26,0.0008 -gfx950,256,576,7168,4096,128x128,flydsl,bmm,1,30.587,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1105.8,1307.66,0.0009 -gfx950,256,608,7168,4096,128x128,flydsl,bmm,1,32.428,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1100.97,1251.65,0.0008 -gfx950,256,640,7168,4096,128x128,flydsl,bmm,1,31.992,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1174.7,1287.16,0.0008 -gfx950,256,672,7168,4096,128x128,flydsl,bmm,1,32.295,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1221.87,1293.39,0.0008 -gfx950,256,704,7168,4096,128x128,flydsl,bmm,1,32.958,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1254.31,1285.3,0.0008 -gfx950,256,736,7168,4096,128x128,flydsl,bmm,1,33.81,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1278.26,1270.37,0.0008 -gfx950,256,768,7168,4096,128x128,flydsl,bmm,1,32.97,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1367.8,1320.64,0.0008 -gfx950,256,800,7168,4096,128x128,flydsl,bmm,1,41.153,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1141.51,1072.43,0.0008 -gfx950,256,832,7168,4096,128x128,flydsl,bmm,1,40.297,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd2_xcd,1212.39,1109.87,0.0008 -gfx950,256,864,7168,4096,128x128,flydsl,bmm,1,37.827,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2_xcd,1341.21,1197.94,0.0008 -gfx950,256,896,7168,4096,128x128,flydsl,bmm,1,36.927,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd2_xcd,1424.79,1243.14,0.0008 -gfx950,256,928,7168,4096,128x128,flydsl,bmm,1,42.222,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1290.62,1101.25,0.0008 -gfx950,256,960,7168,4096,128x128,flydsl,bmm,1,42.454,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd_sps,1327.83,1109.15,0.0008 -gfx950,256,992,7168,4096,128x128,flydsl,bmm,1,43.102,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1351.46,1106.18,0.0008 -gfx950,256,1024,7168,4096,128x128,flydsl,bmm,1,44.587,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1348.6,1082.59,0.0008 -gfx950,256,1088,7168,4096,128x128,flydsl,bmm,1,45.569,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1402.0,1085.18,0.0008 -gfx950,256,1152,7168,4096,128x128,flydsl,bmm,1,46.457,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd_sps,1456.08,1089.87,0.0008 -gfx950,256,1216,7168,4096,128x128,flydsl,bmm,1,53.752,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1328.39,963.94,0.0008 -gfx950,256,1280,7168,4096,128x128,flydsl,bmm,1,54.835,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1370.68,966.45,0.0008 -gfx950,256,1344,7168,4096,128x128,flydsl,bmm,1,55.62,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1418.91,974.06,0.0008 -gfx950,256,1408,7168,4096,128x128,flydsl,bmm,1,57.817,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2,1430.01,957.5,0.0008 -gfx950,256,1472,7168,4096,128x128,flydsl,bmm,1,57.865,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1493.77,977.12,0.0008 -gfx950,256,1536,7168,4096,128x128,flydsl,bmm,1,58.744,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb5_sk1_bd2,1535.37,982.61,0.0008 -gfx950,256,1600,7168,4096,128x128,flydsl,bmm,1,60.562,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd_sps,1551.34,972.62,0.0008 -gfx950,256,1664,7168,4096,128x128,flydsl,bmm,1,61.924,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_sps,1577.9,970.31,0.0009 -gfx950,256,1728,7168,4096,128x128,flydsl,bmm,1,61.318,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1654.8,999.18,0.0008 -gfx950,256,1792,7168,4096,128x128,flydsl,bmm,1,73.956,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1422.82,844.41,0.0009 -gfx950,256,1856,7168,4096,128x128,flydsl,bmm,1,72.674,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_xcd,1499.64,875.57,0.0008 -gfx950,256,1920,7168,4096,128x128,flydsl,bmm,1,73.196,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1540.28,885.46,0.0008 -gfx950,256,1984,7168,4096,128x128,flydsl,bmm,1,69.557,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd2_xcd,1674.9,948.78,0.0008 -gfx950,256,2048,7168,4096,128x128,flydsl,bmm,1,75.721,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1588.18,887.15,0.0008 -gfx950,256,4096,7168,4096,128x128,flydsl,bmm,1,133.837,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1797.1,784.47,0.0008 -gfx950,256,6144,7168,4096,128x128,flydsl,bmm,1,192.588,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1873.31,741.51,0.0008 -gfx950,256,8192,7168,4096,128x128,flydsl,bmm,1,244.514,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1967.31,738.68,0.0008 -gfx950,256,10240,7168,4096,128x128,flydsl,bmm,1,299.23,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,2009.48,729.98,0.0008 -gfx950,256,12288,7168,4096,128x128,flydsl,bmm,1,342.589,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,2106.18,747.97,0.0008 -gfx950,256,14336,7168,4096,128x128,flydsl,bmm,1,415.759,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,2024.76,707.29,0.0008 -gfx950,256,16384,7168,4096,128x128,flydsl,bmm,1,459.708,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,2092.79,721.93,0.0008 -gfx950,256,20480,7168,4096,128x128,flydsl,bmm,1,575.125,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,2091.01,708.55,0.0008 -gfx950,256,24576,7168,4096,128x128,flydsl,bmm,1,693.057,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,2082.24,697.1,0.0008 -gfx950,256,28672,7168,4096,128x128,flydsl,bmm,1,815.473,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,2064.6,685.2,0.0008 -gfx950,256,32768,7168,4096,128x128,flydsl,bmm,1,925.503,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,2079.03,685.45,0.0008 -gfx950,256,40960,7168,4096,128x128,flydsl,bmm,1,1161.599,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,2070.58,676.35,0.0008 -gfx950,256,49152,7168,4096,128x128,flydsl,bmm,1,1393.553,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,2071.12,672.31,0.0008 -gfx950,256,57344,7168,4096,128x128,flydsl,bmm,1,1651.411,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1_sps,2039.02,658.93,0.0008 -gfx950,256,65536,7168,4096,128x128,flydsl,bmm,1,1888.241,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd_sps,2038.03,656.39,0.0008 -gfx950,256,1,7168,7168,128x128,flydsl,bmm,1,10.575,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb6_sk1_bd3_nt,9.72,4861.19,0.0006 -gfx950,256,2,7168,7168,128x128,flydsl,bmm,1,10.485,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb6_sk1_bd3_nt_sps,19.6,4904.54,0.001 -gfx950,256,4,7168,7168,128x128,flydsl,bmm,1,10.425,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb6_sk1_bd2_sps,39.43,4937.05,0.0008 -gfx950,256,8,7168,7168,128x128,flydsl,bmm,1,10.531,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb7_sk1_bd4_nt,78.06,4895.47,0.0009 -gfx950,256,16,7168,7168,128x128,flydsl,bmm,1,10.891,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb5_sk1_bd2_sps,150.97,4749.67,0.0009 -gfx950,256,32,7168,7168,128x128,flydsl,bmm,1,12.054,flydsl_bmm_mxfp8_mfma_t32x32x512_w1x2_nb5_sk1_bd3_nt,272.8,4320.01,0.0008 -gfx950,256,48,7168,7168,128x128,flydsl,bmm,2,13.95,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb6_sk2_nt,353.59,3757.59,0.0009 -gfx950,256,64,7168,7168,128x128,flydsl,bmm,2,15.372,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb6_sk2_nt,427.84,3432.51,0.0008 -gfx950,256,80,7168,7168,128x128,flydsl,bmm,2,17.062,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb6_sk2_nt,481.82,3112.63,0.0009 -gfx950,256,96,7168,7168,128x128,flydsl,bmm,2,17.875,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk2_nt,551.89,2990.4,0.0009 -gfx950,256,112,7168,7168,128x128,flydsl,bmm,1,19.533,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb5_sk1_bd2,589.22,2754.25,0.0008 -gfx950,256,128,7168,7168,128x128,flydsl,bmm,2,20.146,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x1_nb4_sk2_xcd,652.91,2687.58,0.0009 -gfx950,256,144,7168,7168,128x128,flydsl,bmm,2,23.385,flydsl_bmm_mxfp8_mfma_t192x64x128_w4x1_nb4_sk2_xcd,632.79,2330.07,0.0009 -gfx950,256,160,7168,7168,128x128,flydsl,bmm,2,22.804,flydsl_bmm_mxfp8_mfma_t192x64x128_w4x1_nb4_sk2_nt_xcd,721.0,2404.54,0.0009 -gfx950,256,176,7168,7168,128x128,flydsl,bmm,2,23.353,flydsl_bmm_mxfp8_mfma_t192x64x128_w4x1_nb4_sk2_nt_xcd,774.45,2362.76,0.0008 -gfx950,256,192,7168,7168,128x128,flydsl,bmm,2,24.031,flydsl_bmm_mxfp8_mfma_t192x64x128_w4x1_nb4_sk2_nt_xcd,821.01,2310.43,0.0009 -gfx950,256,208,7168,7168,128x128,flydsl,bmm,2,26.183,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2_xcd,816.34,2133.75,0.0009 -gfx950,256,224,7168,7168,128x128,flydsl,bmm,2,26.848,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,857.37,2093.78,0.0008 -gfx950,256,240,7168,7168,128x128,flydsl,bmm,2,26.929,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,915.84,2100.26,0.0008 -gfx950,256,256,7168,7168,128x128,flydsl,bmm,2,27.716,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2_xcd,949.14,2053.05,0.0009 -gfx950,256,288,7168,7168,128x128,flydsl,bmm,1,35.553,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,832.42,1619.91,0.0008 -gfx950,256,320,7168,7168,128x128,flydsl,bmm,1,36.251,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,907.1,1607.75,0.0008 -gfx950,256,352,7168,7168,128x128,flydsl,bmm,1,36.556,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,989.49,1613.21,0.0009 -gfx950,256,384,7168,7168,128x128,flydsl,bmm,1,37.446,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,1053.77,1593.27,0.0009 -gfx950,256,416,7168,7168,128x128,flydsl,bmm,1,40.902,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,1045.13,1475.52,0.0009 -gfx950,256,448,7168,7168,128x128,flydsl,bmm,1,40.409,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,1139.26,1510.6,0.0009 -gfx950,256,480,7168,7168,128x128,flydsl,bmm,1,41.672,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,1183.65,1481.38,0.0009 -gfx950,256,512,7168,7168,128x128,flydsl,bmm,1,42.906,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1226.23,1454.84,0.0008 -gfx950,256,544,7168,7168,128x128,flydsl,bmm,1,49.822,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1122.03,1266.75,0.0009 -gfx950,256,576,7168,7168,128x128,flydsl,bmm,1,49.662,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1191.85,1284.72,0.0009 -gfx950,256,608,7168,7168,128x128,flydsl,bmm,1,55.417,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1127.42,1163.76,0.0009 -gfx950,256,640,7168,7168,128x128,flydsl,bmm,1,56.004,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1174.32,1163.87,0.0009 -gfx950,256,672,7168,7168,128x128,flydsl,bmm,1,56.194,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1228.87,1172.22,0.0009 -gfx950,256,704,7168,7168,128x128,flydsl,bmm,1,59.543,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb4_sk1_bd3_xcd,1214.98,1117.88,0.0008 -gfx950,256,736,7168,7168,128x128,flydsl,bmm,1,60.711,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb4_sk1_bd3_xcd,1245.77,1107.74,0.0009 -gfx950,256,768,7168,7168,128x128,flydsl,bmm,1,60.673,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1300.75,1119.8,0.0009 -gfx950,256,800,7168,7168,128x128,flydsl,bmm,1,64.009,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd2_xcd,1284.32,1072.21,0.0009 -gfx950,256,832,7168,7168,128x128,flydsl,bmm,1,64.008,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd2_xcd,1335.71,1083.01,0.0009 -gfx950,256,864,7168,7168,128x128,flydsl,bmm,1,64.95,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb4_sk1_bd3_xcd,1366.98,1077.93,0.0009 -gfx950,256,896,7168,7168,128x128,flydsl,bmm,1,66.057,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd2_xcd,1393.85,1070.3,0.0009 -gfx950,256,928,7168,7168,128x128,flydsl,bmm,1,68.814,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1385.79,1037.45,0.0009 -gfx950,256,960,7168,7168,128x128,flydsl,bmm,1,69.901,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb4_sk1_bd3_xcd,1411.27,1031.18,0.0009 -gfx950,256,992,7168,7168,128x128,flydsl,bmm,1,70.566,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb4_sk1_bd3_xcd,1444.59,1031.25,0.0009 -gfx950,256,1024,7168,7168,128x128,flydsl,bmm,1,70.788,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1486.5,1037.75,0.0009 -gfx950,256,1088,7168,7168,128x128,flydsl,bmm,1,74.154,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1507.72,1009.26,0.0009 -gfx950,256,1152,7168,7168,128x128,flydsl,bmm,1,75.799,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1561.75,1005.55,0.0009 -gfx950,256,1216,7168,7168,128x128,flydsl,bmm,1,87.711,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb5_sk1_bd3_xcd,1424.63,884.72,0.0009 -gfx950,256,1280,7168,7168,128x128,flydsl,bmm,1,88.255,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1490.38,894.91,0.0009 -gfx950,256,1344,7168,7168,128x128,flydsl,bmm,1,87.729,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb5_sk1_bd3_xcd,1574.28,916.01,0.0009 -gfx950,256,1408,7168,7168,128x128,flydsl,bmm,1,92.335,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,1566.98,885.26,0.0009 -gfx950,256,1472,7168,7168,128x128,flydsl,bmm,1,93.464,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb5_sk1_bd3_xcd,1618.42,889.33,0.0009 -gfx950,256,1536,7168,7168,128x128,flydsl,bmm,1,93.248,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,1692.7,906.18,0.0009 -gfx950,256,1600,7168,7168,128x128,flydsl,bmm,1,98.757,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1664.87,869.61,0.0009 -gfx950,256,1664,7168,7168,128x128,flydsl,bmm,1,97.912,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1746.39,891.2,0.0009 -gfx950,256,1728,7168,7168,128x128,flydsl,bmm,1,98.539,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,1802.03,899.53,0.0009 -gfx950,256,1792,7168,7168,128x128,flydsl,bmm,1,111.978,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd_sps,1644.49,803.9,0.0009 -gfx950,256,1856,7168,7168,128x128,flydsl,bmm,1,116.172,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1641.74,786.76,0.0009 -gfx950,256,1920,7168,7168,128x128,flydsl,bmm,1,115.991,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1700.99,799.87,0.0009 -gfx950,256,1984,7168,7168,128x128,flydsl,bmm,1,116.904,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1743.97,805.43,0.0009 -gfx950,256,2048,7168,7168,128x128,flydsl,bmm,1,118.035,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1782.97,809.41,0.0009 -gfx950,256,4096,7168,7168,128x128,flydsl,bmm,1,213.031,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1975.8,655.74,0.0009 -gfx950,256,6144,7168,7168,128x128,flydsl,bmm,1,303.683,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2079.01,605.39,0.0009 -gfx950,256,8192,7168,7168,128x128,flydsl,bmm,1,396.655,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2122.28,574.81,0.0009 -gfx950,256,10240,7168,7168,128x128,flydsl,bmm,1,493.016,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2134.35,552.03,0.0009 -gfx950,256,12288,7168,7168,128x128,flydsl,bmm,1,559.632,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,2256.34,565.22,0.0009 -gfx950,256,14336,7168,7168,128x128,flydsl,bmm,1,673.631,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,2186.92,535.11,0.0009 -gfx950,256,16384,7168,7168,128x128,flydsl,bmm,1,727.291,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2314.93,556.34,0.0009 -gfx950,256,20480,7168,7168,128x128,flydsl,bmm,1,926.866,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2270.59,531.83,0.0009 -gfx950,256,24576,7168,7168,128x128,flydsl,bmm,1,1129.1,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2236.69,514.78,0.0009 -gfx950,256,28672,7168,7168,128x128,flydsl,bmm,1,1339.388,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,2199.77,499.89,0.0009 -gfx950,256,32768,7168,7168,128x128,flydsl,bmm,1,1524.459,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,2208.82,497.13,0.0009 -gfx950,256,40960,7168,7168,128x128,flydsl,bmm,1,1921.739,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,2190.24,486.27,0.0009 -gfx950,256,49152,7168,7168,128x128,flydsl,bmm,1,2277.448,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,2217.78,487.87,0.0009 -gfx950,256,57344,7168,7168,128x128,flydsl,bmm,1,2683.884,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,2195.59,479.8,0.0009 -gfx950,256,65536,7168,7168,128x128,flydsl,bmm,1,3045.413,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,2211.36,480.83,0.0009 -gfx950,256,1,7168,16384,128x128,flydsl,bmm,1,19.238,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb6_sk1_nt_xcd_sps,12.21,6106.69,0.0006 -gfx950,256,2,7168,16384,128x128,flydsl,bmm,1,19.197,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb6_sk1_nt_xcd_sps,24.47,6121.25,0.0005 -gfx950,256,4,7168,16384,128x128,flydsl,bmm,1,19.251,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb6_sk1_nt_xcd_sps,48.81,6107.42,0.0008 -gfx950,256,8,7168,16384,128x128,flydsl,bmm,1,19.549,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb6_sk1_nt_xcd,96.12,6020.51,0.001 -gfx950,256,16,7168,16384,128x128,flydsl,bmm,1,20.209,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x1_nb5_sk1_bd2_nt_xcd_sps,185.96,5836.16,0.0009 -gfx950,256,32,7168,16384,128x128,flydsl,bmm,2,22.001,flydsl_bmm_mxfp8_mfma_t32x64x128_w2x2_nb4_sk2_nt,341.62,5383.05,0.0009 -gfx950,256,48,7168,16384,128x128,flydsl,bmm,2,23.83,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb6_sk2_nt,473.11,4990.7,0.0009 -gfx950,256,64,7168,16384,128x128,flydsl,bmm,2,25.996,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb6_sk2_nt,578.25,4593.8,0.0009 -gfx950,256,80,7168,16384,128x128,flydsl,bmm,2,31.982,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk2_nt_xcd,587.53,3749.42,0.0009 -gfx950,256,96,7168,16384,128x128,flydsl,bmm,2,33.522,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb5_sk2_nt,672.66,3591.98,0.0009 -gfx950,256,112,7168,16384,128x128,flydsl,bmm,2,35.307,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x1_nb4_sk2_nt_xcd,745.09,3424.34,0.0008 -gfx950,256,128,7168,16384,128x128,flydsl,bmm,4,33.389,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk4_nt_xcd,900.43,3635.79,0.0009 -gfx950,256,144,7168,16384,128x128,flydsl,bmm,2,49.375,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,685.02,2468.64,0.0009 -gfx950,256,160,7168,16384,128x128,flydsl,bmm,2,49.876,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk2_xcd,753.49,2453.77,0.0009 -gfx950,256,176,7168,16384,128x128,flydsl,bmm,2,48.994,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2_xcd,843.75,2507.98,0.0009 -gfx950,256,192,7168,16384,128x128,flydsl,bmm,2,49.936,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,903.09,2470.56,0.0009 -gfx950,256,208,7168,16384,128x128,flydsl,bmm,2,51.03,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2_xcd,957.39,2427.29,0.0009 -gfx950,256,224,7168,16384,128x128,flydsl,bmm,2,52.151,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2_xcd,1008.87,2384.59,0.0009 -gfx950,256,240,7168,16384,128x128,flydsl,bmm,2,53.521,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,1053.25,2332.74,0.0009 -gfx950,256,256,7168,16384,128x128,flydsl,bmm,2,53.904,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,1115.49,2325.33,0.0009 -gfx950,256,288,7168,16384,128x128,flydsl,bmm,1,73.77,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,916.98,1712.5,0.0009 -gfx950,256,320,7168,16384,128x128,flydsl,bmm,2,73.928,flydsl_bmm_mxfp8_mfma_t128x256x128_w4x2_nb3_sk2_xcd,1016.69,1722.21,0.0009 -gfx950,256,352,7168,16384,128x128,flydsl,bmm,1,77.207,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1070.87,1661.85,0.0009 -gfx950,256,384,7168,16384,128x128,flydsl,bmm,2,79.784,flydsl_bmm_mxfp8_mfma_t128x256x128_w4x2_nb3_sk2_xcd,1130.48,1620.54,0.0009 -gfx950,256,416,7168,16384,128x128,flydsl,bmm,1,85.257,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1146.07,1528.1,0.0009 -gfx950,256,448,7168,16384,128x128,flydsl,bmm,1,86.737,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1213.17,1513.4,0.0009 -gfx950,256,480,7168,16384,128x128,flydsl,bmm,1,86.578,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1302.21,1527.58,0.0009 -gfx950,256,512,7168,16384,128x128,flydsl,bmm,2,88.23,flydsl_bmm_mxfp8_mfma_t128x256x128_w2x4_nb3_sk2_xcd,1363.02,1510.17,0.0009 -gfx950,256,544,7168,16384,128x128,flydsl,bmm,1,104.312,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1224.94,1286.81,0.0009 -gfx950,256,576,7168,16384,128x128,flydsl,bmm,1,106.635,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd2_xcd,1268.73,1268.02,0.0009 -gfx950,256,608,7168,16384,128x128,flydsl,bmm,1,113.254,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1260.95,1202.64,0.0009 -gfx950,256,640,7168,16384,128x128,flydsl,bmm,1,112.677,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1334.11,1217.56,0.0009 -gfx950,256,672,7168,16384,128x128,flydsl,bmm,1,113.486,flydsl_bmm_mxfp8_mfma_t112x128x128_w1x2_nb3_sk1_bd2_xcd,1390.84,1217.58,0.0009 -gfx950,256,704,7168,16384,128x128,flydsl,bmm,1,120.906,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd2_xcd,1367.64,1151.02,0.0009 -gfx950,256,736,7168,16384,128x128,flydsl,bmm,1,121.335,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd2_xcd,1424.76,1155.09,0.0009 -gfx950,256,768,7168,16384,128x128,flydsl,bmm,1,121.227,flydsl_bmm_mxfp8_mfma_t192x128x128_w2x4_nb4_sk1_bd2_xcd,1488.02,1164.25,0.0009 -gfx950,256,800,7168,16384,128x128,flydsl,bmm,1,131.25,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd2_xcd,1431.66,1082.87,0.0009 -gfx950,256,832,7168,16384,128x128,flydsl,bmm,1,130.683,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1495.39,1095.12,0.0009 -gfx950,256,864,7168,16384,128x128,flydsl,bmm,1,131.565,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd2_xcd,1542.48,1095.28,0.0009 -gfx950,256,896,7168,16384,128x128,flydsl,bmm,1,131.666,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd2_xcd,1598.39,1101.94,0.0009 -gfx950,256,928,7168,16384,128x128,flydsl,bmm,1,139.401,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1563.62,1047.87,0.0009 -gfx950,256,960,7168,16384,128x128,flydsl,bmm,1,141.009,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2,1599.08,1042.92,0.0009 -gfx950,256,992,7168,16384,128x128,flydsl,bmm,1,141.373,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,1648.14,1047.22,0.0009 -gfx950,256,1024,7168,16384,128x128,flydsl,bmm,1,143.795,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb5_sk1_bd3,1672.65,1036.45,0.0009 -gfx950,256,1088,7168,16384,128x128,flydsl,bmm,1,146.054,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1749.7,1033.93,0.0009 -gfx950,256,1152,7168,16384,128x128,flydsl,bmm,1,147.348,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3_xcd,1836.36,1038.26,0.0009 -gfx950,256,1216,7168,16384,128x128,flydsl,bmm,1,176.033,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1622.51,880.28,0.0009 -gfx950,256,1280,7168,16384,128x128,flydsl,bmm,1,177.157,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1697.07,885.84,0.0009 -gfx950,256,1344,7168,16384,128x128,flydsl,bmm,1,178.549,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1768.03,889.99,0.0009 -gfx950,256,1408,7168,16384,128x128,flydsl,bmm,1,185.894,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1779.04,865.45,0.0009 -gfx950,256,1472,7168,16384,128x128,flydsl,bmm,1,187.724,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,1841.78,867.53,0.0009 -gfx950,256,1536,7168,16384,128x128,flydsl,bmm,1,189.367,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1905.18,870.43,0.0009 -gfx950,256,1600,7168,16384,128x128,flydsl,bmm,1,198.439,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1893.83,840.58,0.0009 -gfx950,256,1664,7168,16384,128x128,flydsl,bmm,1,198.016,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1973.79,852.35,0.0009 -gfx950,256,1728,7168,16384,128x128,flydsl,bmm,1,199.605,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3_xcd,2033.39,855.45,0.0009 -gfx950,256,1792,7168,16384,128x128,flydsl,bmm,1,223.7,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1_xcd,1881.57,772.14,0.0009 -gfx950,256,1856,7168,16384,128x128,flydsl,bmm,1,225.799,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd2,1930.65,773.7,0.0009 -gfx950,256,1920,7168,16384,128x128,flydsl,bmm,1,221.72,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd2_xcd,2033.97,796.84,0.0009 -gfx950,256,1984,7168,16384,128x128,flydsl,bmm,1,224.109,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb3_sk1_bd2_xcd,2079.36,797.16,0.0009 -gfx950,256,2048,7168,16384,128x128,flydsl,bmm,1,251.241,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1914.64,718.93,0.0009 -gfx950,256,4096,7168,16384,128x128,flydsl,bmm,1,456.73,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd2,2106.44,533.8,0.0009 -gfx950,256,6144,7168,16384,128x128,flydsl,bmm,1,677.277,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,2130.75,453.25,0.0009 -gfx950,256,8192,7168,16384,128x128,flydsl,bmm,1,852.696,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,2256.54,434.1,0.0009 -gfx950,256,10240,7168,16384,128x128,flydsl,bmm,1,1093.616,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,2199.29,396.24,0.0009 -gfx950,256,12288,7168,16384,128x128,flydsl,bmm,1,1238.925,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,2329.61,400.76,0.0009 -gfx950,256,14336,7168,16384,128x128,flydsl,bmm,1,1570.116,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1_xcd,2144.59,356.46,0.0009 -gfx950,256,16384,7168,16384,128x128,flydsl,bmm,1,1759.868,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1,2186.69,353.93,0.0009 -gfx950,256,20480,7168,16384,128x128,flydsl,bmm,1,2231.514,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb3_sk1_bd1_xcd_sps,2155.65,335.74,0.0009 -gfx950,256,24576,7168,16384,128x128,flydsl,bmm,1,2687.42,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,2147.95,325.8,0.0009 -gfx950,256,28672,7168,16384,128x128,flydsl,bmm,1,3136.165,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1_xcd,2147.37,319.47,0.0009 -gfx950,256,32768,7168,16384,128x128,flydsl,bmm,1,3549.159,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,2168.56,317.9,0.0009 -gfx950,256,40960,7168,16384,128x128,flydsl,bmm,1,4537.386,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb3_sk1_bd1_xcd_sps,2120.32,304.36,0.0009 -gfx950,256,49152,7168,16384,128x128,flydsl,bmm,1,5345.635,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb3_sk1_bd1_xcd_sps,2159.68,305.61,0.0009 -gfx950,256,57344,7168,16384,128x128,flydsl,bmm,1,6316.458,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1_xcd,2132.37,298.65,0.0009 -gfx950,256,65536,7168,16384,128x128,flydsl,bmm,1,7002.621,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb3_sk1_bd2_xcd,2198.2,305.47,0.0009 -gfx950,256,16,7168,21504,128x128,flydsl,bmm,1,26.564,flydsl_bmm_mxfp8_mfma_t16x32x512_w1x2_nb6_sk1_bd2_nt,185.68,5824.64,0.0008 -gfx950,256,32,7168,21504,128x128,flydsl,bmm,2,27.666,flydsl_bmm_mxfp8_mfma_t32x64x128_w2x2_nb6_sk2_nt,356.57,5613.38,0.0009 -gfx950,256,64,7168,21504,128x128,flydsl,bmm,2,34.701,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb6_sk2_nt_xcd,568.57,4508.61,0.0008 -gfx950,256,128,7168,21504,128x128,flydsl,bmm,2,47.285,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk2_nt,834.51,3357.47,0.0009 -gfx950,256,256,7168,21504,128x128,flydsl,bmm,2,65.438,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk2,1206.03,2496.54,0.0009 -gfx950,256,512,7168,21504,128x128,flydsl,bmm,1,112.387,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,1404.43,1535.64,0.0009 -gfx950,256,1024,7168,21504,128x128,flydsl,bmm,1,179.571,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,1757.96,1063.77,0.0009 -gfx950,256,2048,7168,21504,128x128,flydsl,bmm,1,318.709,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,1981.0,715.06,0.0009 -gfx950,256,3072,7168,21504,128x128,flydsl,bmm,1,441.808,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd3,2143.56,599.28,0.0009 -gfx950,256,4096,7168,21504,128x128,flydsl,bmm,1,593.557,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd3,2127.38,508.19,0.0009 -gfx950,256,1,8192,1536,128x128,flydsl,bmm,1,4.74,flydsl_bmm_mxfp8_mfma_t16x32x256_w1x2_nb6_sk1_nt_sps,5.31,2658.75,0.0009 -gfx950,256,2,8192,1536,128x128,flydsl,bmm,1,4.74,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_sps,10.62,2662.08,0.0006 -gfx950,256,4,8192,1536,128x128,flydsl,bmm,1,4.787,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_sps,21.03,2643.82,0.0009 -gfx950,256,8,8192,1536,128x128,flydsl,bmm,1,4.849,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb12_sk1_nt_sps,41.52,2624.67,0.0006 -gfx950,256,16,8192,1536,128x128,flydsl,bmm,1,5.072,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb10_sk1_nt_sps,79.38,2537.46,0.0008 -gfx950,256,32,8192,1536,128x128,flydsl,bmm,1,5.603,flydsl_bmm_mxfp8_mfma_t32x32x128_w1x2_nb10_sk1_nt_sps,143.74,2348.42,0.0007 -gfx950,256,48,8192,1536,128x128,flydsl,bmm,1,6.195,flydsl_bmm_mxfp8_mfma_t64x32x512_w4x1_nb3_sk1,194.98,2170.15,0.0007 -gfx950,256,64,8192,1536,128x128,flydsl,bmm,1,6.334,flydsl_bmm_mxfp8_mfma_t64x32x512_w4x1_nb3_sk1_nt,254.27,2167.77,0.0007 -gfx950,256,80,8192,1536,128x128,flydsl,bmm,1,6.818,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,295.28,2056.04,0.0006 -gfx950,256,96,8192,1536,128x128,flydsl,bmm,1,6.985,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd_sps,345.85,2047.87,0.0007 -gfx950,256,112,8192,1536,128x128,flydsl,bmm,1,7.071,flydsl_bmm_mxfp8_mfma_t64x64x128_w2x2_nb5_sk1_xcd_sps,398.63,2063.76,0.0007 -gfx950,256,128,8192,1536,128x128,flydsl,bmm,1,7.357,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb5_sk1_xcd,437.83,2022.38,0.0007 -gfx950,256,144,8192,1536,128x128,flydsl,bmm,1,7.964,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1_xcd,455.01,1904.22,0.0007 -gfx950,256,160,8192,1536,128x128,flydsl,bmm,1,7.981,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk1,504.5,1936.15,0.0007 -gfx950,256,176,8192,1536,128x128,flydsl,bmm,1,8.192,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1,540.68,1921.37,0.0007 -gfx950,256,192,8192,1536,128x128,flydsl,bmm,1,8.433,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk1,572.95,1900.4,0.0007 -gfx950,256,208,8192,1536,128x128,flydsl,bmm,1,8.701,flydsl_bmm_mxfp8_mfma_t128x64x128_w4x2_nb4_sk1,601.59,1874.9,0.0007 -gfx950,256,224,8192,1536,128x128,flydsl,bmm,1,8.937,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk1,630.73,1857.41,0.0007 -gfx950,256,240,8192,1536,128x128,flydsl,bmm,1,9.247,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x2_nb4_sk1,653.19,1826.32,0.0007 -gfx950,256,256,8192,1536,128x128,flydsl,bmm,1,9.439,flydsl_bmm_mxfp8_mfma_t128x64x128_w2x4_nb5_sk1,682.53,1819.48,0.0007 -gfx950,256,288,8192,1536,128x128,flydsl,bmm,1,10.743,flydsl_bmm_mxfp8_mfma_t192x64x128_w4x2_nb4_sk1,674.64,1652.03,0.0007 -gfx950,256,320,8192,1536,128x128,flydsl,bmm,1,10.899,flydsl_bmm_mxfp8_mfma_t192x64x128_w4x2_nb4_sk1,738.91,1681.12,0.0007 -gfx950,256,352,8192,1536,128x128,flydsl,bmm,1,11.344,flydsl_bmm_mxfp8_mfma_t192x64x128_w4x2_nb4_sk1,780.92,1665.77,0.0007 -gfx950,256,384,8192,1536,128x128,flydsl,bmm,1,11.579,flydsl_bmm_mxfp8_mfma_t192x64x128_w4x2_nb4_sk1_sps,834.58,1681.44,0.0007 -gfx950,256,416,8192,1536,128x128,flydsl,bmm,1,12.039,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,869.58,1664.86,0.0007 -gfx950,256,448,8192,1536,128x128,flydsl,bmm,1,12.806,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb3_sk1_sps,880.4,1609.98,0.0007 -gfx950,256,480,8192,1536,128x128,flydsl,bmm,1,12.773,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,945.68,1659.0,0.0007 -gfx950,256,512,8192,1536,128x128,flydsl,bmm,1,13.907,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,926.53,1565.07,0.0007 -gfx950,256,544,8192,1536,128x128,flydsl,bmm,1,15.363,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd2_xcd,891.12,1454.07,0.0007 -gfx950,256,576,8192,1536,128x128,flydsl,bmm,1,14.998,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,966.51,1527.72,0.0007 -gfx950,256,608,8192,1536,128x128,flydsl,bmm,1,15.69,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,975.23,1496.94,0.0007 -gfx950,256,640,8192,1536,128x128,flydsl,bmm,1,15.601,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1032.36,1542.2,0.0007 -gfx950,256,672,8192,1536,128x128,flydsl,bmm,1,15.451,flydsl_bmm_mxfp8_mfma_t192x128x128_w2x4_nb3_sk1,1094.54,1594.35,0.0007 -gfx950,256,704,8192,1536,128x128,flydsl,bmm,1,15.735,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1125.95,1602.03,0.0007 -gfx950,256,736,8192,1536,128x128,flydsl,bmm,1,15.624,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1185.51,1650.17,0.0007 -gfx950,256,768,8192,1536,128x128,flydsl,bmm,1,15.922,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1213.87,1655.27,0.0007 -gfx950,256,800,8192,1536,128x128,flydsl,bmm,1,19.042,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd1_xcd,1057.27,1414.2,0.0007 -gfx950,256,832,8192,1536,128x128,flydsl,bmm,1,19.043,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd1_xcd,1099.53,1444.28,0.0007 -gfx950,256,864,8192,1536,128x128,flydsl,bmm,1,19.099,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd1_xcd,1138.47,1470.09,0.0007 -gfx950,256,896,8192,1536,128x128,flydsl,bmm,1,19.421,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x2_nb3_sk1_bd1_xcd,1161.07,1475.28,0.0007 -gfx950,256,928,8192,1536,128x128,flydsl,bmm,1,20.275,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb2_sk1,1151.87,1441.43,0.0007 -gfx950,256,960,8192,1536,128x128,flydsl,bmm,1,21.137,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb2_sk1_xcd,1143.0,1409.8,0.0007 -gfx950,256,992,8192,1536,128x128,flydsl,bmm,1,21.883,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x1_nb2_sk1_xcd_sps,1140.82,1387.94,0.0007 -gfx950,256,1024,8192,1536,128x128,flydsl,bmm,1,21.983,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1,1172.27,1407.74,0.0007 -gfx950,256,1088,8192,1536,128x128,flydsl,bmm,1,24.35,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,1124.44,1318.0,0.0007 -gfx950,256,1152,8192,1536,128x128,flydsl,bmm,1,24.177,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb2_sk1_bd1,1199.1,1374.9,0.0007 -gfx950,256,1216,8192,1536,128x128,flydsl,bmm,1,26.096,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2,1172.67,1317.81,0.0007 -gfx950,256,1280,8192,1536,128x128,flydsl,bmm,1,26.217,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1228.67,1355.47,0.0007 -gfx950,256,1344,8192,1536,128x128,flydsl,bmm,1,26.432,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1279.64,1387.9,0.0007 -gfx950,256,1408,8192,1536,128x128,flydsl,bmm,1,28.133,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1,1259.51,1344.76,0.0007 -gfx950,256,1472,8192,1536,128x128,flydsl,bmm,1,27.774,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1,1333.77,1403.45,0.0007 -gfx950,256,1536,8192,1536,128x128,flydsl,bmm,1,28.223,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd1,1369.61,1421.78,0.0007 -gfx950,256,1600,8192,1536,128x128,flydsl,bmm,1,32.575,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_sps,1236.09,1267.08,0.0007 -gfx950,256,1664,8192,1536,128x128,flydsl,bmm,1,32.742,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1278.95,1295.64,0.0007 -gfx950,256,1728,8192,1536,128x128,flydsl,bmm,1,32.673,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1330.95,1333.51,0.0007 -gfx950,256,1792,8192,1536,128x128,flydsl,bmm,1,33.379,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1351.05,1339.69,0.0007 -gfx950,256,1856,8192,1536,128x128,flydsl,bmm,1,34.68,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd_sps,1346.82,1322.53,0.0007 -gfx950,256,1920,8192,1536,128x128,flydsl,bmm,1,33.99,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1_xcd,1421.56,1383.16,0.0007 -gfx950,256,1984,8192,1536,128x128,flydsl,bmm,1,35.436,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd_sps,1408.99,1359.09,0.0007 -gfx950,256,2048,8192,1536,128x128,flydsl,bmm,1,35.477,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,1452.77,1389.88,0.0007 -gfx950,256,4096,8192,1536,128x128,flydsl,bmm,1,66.589,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1547.99,1292.0,0.0008 -gfx950,256,6144,8192,1536,128x128,flydsl,bmm,1,95.733,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1615.11,1282.3,0.0007 -gfx950,256,8192,8192,1536,128x128,flydsl,bmm,1,122.206,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1686.97,1305.03,0.0007 -gfx950,256,10240,8192,1536,128x128,flydsl,bmm,1,150.773,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1709.18,1301.34,0.0007 -gfx950,256,12288,8192,1536,128x128,flydsl,bmm,1,179.414,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1723.6,1298.29,0.0007 -gfx950,256,14336,8192,1536,128x128,flydsl,bmm,1,206.645,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1745.88,1304.93,0.0007 -gfx950,256,16384,8192,1536,128x128,flydsl,bmm,1,236.859,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1740.77,1293.52,0.0007 -gfx950,256,20480,8192,1536,128x128,flydsl,bmm,1,288.801,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1784.61,1315.2,0.0007 -gfx950,256,24576,8192,1536,128x128,flydsl,bmm,1,348.232,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1776.05,1301.66,0.0007 -gfx950,256,28672,8192,1536,128x128,flydsl,bmm,1,399.98,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1803.98,1316.89,0.0007 -gfx950,256,32768,8192,1536,128x128,flydsl,bmm,1,482.579,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1708.8,1243.69,0.0007 -gfx950,256,40960,8192,1536,128x128,flydsl,bmm,1,574.107,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1795.47,1301.29,0.0007 -gfx950,256,49152,8192,1536,128x128,flydsl,bmm,1,672.401,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb4_sk1_bd2,1839.6,1329.53,0.0007 -gfx950,256,57344,8192,1536,128x128,flydsl,bmm,1,790.796,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1824.88,1316.24,0.0007 -gfx950,256,65536,8192,1536,128x128,flydsl,bmm,1,915.334,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1801.82,1297.64,0.0007 -gfx950,256,1,16384,1536,128x128,flydsl,bmm,1,6.416,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb9_sk1_nt_sps,7.85,3928.15,0.0007 -gfx950,256,2,16384,1536,128x128,flydsl,bmm,1,6.41,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x1_nb5_sk1_nt,15.7,3937.17,0.0007 -gfx950,256,4,16384,1536,128x128,flydsl,bmm,1,6.427,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x1_nb5_sk1_nt_sps,31.32,3937.16,0.0006 -gfx950,256,8,16384,1536,128x128,flydsl,bmm,1,6.488,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x1_nb5_sk1_nt_sps,62.06,3921.51,0.0007 -gfx950,256,16,16384,1536,128x128,flydsl,bmm,1,6.594,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x1_nb5_sk1_nt_sps,122.12,3899.78,0.0007 -gfx950,256,32,16384,1536,128x128,flydsl,bmm,1,7.046,flydsl_bmm_mxfp8_mfma_t32x64x128_w2x2_nb5_sk1_nt,228.59,3727.85,0.0007 -gfx950,256,48,16384,1536,128x128,flydsl,bmm,1,7.587,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb8_sk1_bd3_nt,318.45,3534.47,0.0007 -gfx950,256,64,16384,1536,128x128,flydsl,bmm,1,7.806,flydsl_bmm_mxfp8_mfma_t64x64x128_w1x4_nb8_sk1_bd4_nt,412.67,3505.55,0.0008 -gfx950,256,80,16384,1536,128x128,flydsl,bmm,1,8.591,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb8_sk1_bd3_nt,468.69,3249.03,0.0007 -gfx950,256,96,16384,1536,128x128,flydsl,bmm,1,8.881,flydsl_bmm_mxfp8_mfma_t96x64x128_w1x4_nb7_sk1_bd3_nt,544.04,3204.61,0.0007 -gfx950,256,112,16384,1536,128x128,flydsl,bmm,1,9.752,flydsl_bmm_mxfp8_mfma_t128x64x128_w1x4_nb6_sk1_bd3_nt_xcd,578.08,2974.99,0.0008 -gfx950,256,128,16384,1536,128x128,flydsl,bmm,1,9.99,flydsl_bmm_mxfp8_mfma_t128x64x128_w1x4_nb6_sk1_bd3,644.87,2958.85,0.0007 -gfx950,256,144,16384,1536,128x128,flydsl,bmm,1,11.581,flydsl_bmm_mxfp8_mfma_t192x64x128_w1x4_nb6_sk1_bd2_nt,625.85,2599.95,0.0007 -gfx950,256,160,16384,1536,128x128,flydsl,bmm,1,11.515,flydsl_bmm_mxfp8_mfma_t192x64x128_w1x4_nb6_sk1_bd3_nt,699.35,2662.42,0.0007 -gfx950,256,176,16384,1536,128x128,flydsl,bmm,1,11.51,flydsl_bmm_mxfp8_mfma_t192x64x128_w1x4_nb4_sk1_bd2_nt,769.64,2711.34,0.0008 -gfx950,256,192,16384,1536,128x128,flydsl,bmm,1,11.58,flydsl_bmm_mxfp8_mfma_t192x64x128_w1x4_nb3_sk1_bd2_nt,834.52,2742.35,0.0007 -gfx950,256,208,16384,1536,128x128,flydsl,bmm,1,12.528,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x4_nb4_sk1,835.68,2578.72,0.0007 -gfx950,256,224,16384,1536,128x128,flydsl,bmm,1,13.358,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1,843.99,2459.46,0.0007 -gfx950,256,240,16384,1536,128x128,flydsl,bmm,1,12.59,flydsl_bmm_mxfp8_mfma_t128x128x128_w4x2_nb4_sk1_xcd,959.44,2653.1,0.0008 -gfx950,256,256,16384,1536,128x128,flydsl,bmm,1,13.92,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb4_sk1_xcd,925.61,2439.03,0.0007 -gfx950,256,288,16384,1536,128x128,flydsl,bmm,1,17.293,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb2_sk1_xcd,838.24,2026.88,0.0007 -gfx950,256,320,16384,1536,128x128,flydsl,bmm,1,16.726,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb4_sk1_bd2_xcd,962.92,2161.17,0.0007 -gfx950,256,352,16384,1536,128x128,flydsl,bmm,1,16.555,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb3_sk1_bd2_xcd,1070.19,2249.9,0.0008 -gfx950,256,384,16384,1536,128x128,flydsl,bmm,1,16.734,flydsl_bmm_mxfp8_mfma_t192x128x128_w1x4_nb3_sk1_bd2,1154.97,2291.41,0.0007 -gfx950,256,416,16384,1536,128x128,flydsl,bmm,1,18.978,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1103.3,2078.39,0.0007 -gfx950,256,448,16384,1536,128x128,flydsl,bmm,1,19.2,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1174.43,2111.55,0.0007 -gfx950,256,480,16384,1536,128x128,flydsl,bmm,1,19.585,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1233.58,2126.11,0.0007 -gfx950,256,512,16384,1536,128x128,flydsl,bmm,1,20.038,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1286.05,2132.81,0.0007 -gfx950,256,544,16384,1536,128x128,flydsl,bmm,1,26.311,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1_xcd,1040.65,1666.06,0.0007 -gfx950,256,576,16384,1536,128x128,flydsl,bmm,1,24.984,flydsl_bmm_mxfp8_mfma_t288x128x128_w1x4_nb3_sk1_bd1_xcd,1160.38,1798.49,0.0007 -gfx950,256,608,16384,1536,128x128,flydsl,bmm,1,27.912,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd1_xcd,1096.34,1649.14,0.0007 -gfx950,256,640,16384,1536,128x128,flydsl,bmm,1,27.744,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_xcd,1161.04,1698.71,0.0007 -gfx950,256,672,16384,1536,128x128,flydsl,bmm,1,27.592,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2,1225.84,1747.91,0.0007 -gfx950,256,704,16384,1536,128x128,flydsl,bmm,1,27.538,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1286.69,1791.16,0.0007 -gfx950,256,736,16384,1536,128x128,flydsl,bmm,1,27.852,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1330.03,1810.42,0.0007 -gfx950,256,768,16384,1536,128x128,flydsl,bmm,1,27.662,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1397.37,1862.53,0.0007 -gfx950,256,800,16384,1536,128x128,flydsl,bmm,1,37.651,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd,1069.44,1397.58,0.0007 -gfx950,256,832,16384,1536,128x128,flydsl,bmm,1,37.036,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd,1130.67,1450.41,0.0007 -gfx950,256,864,16384,1536,128x128,flydsl,bmm,1,37.257,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1_xcd,1167.21,1471.31,0.0007 -gfx950,256,896,16384,1536,128x128,flydsl,bmm,1,37.746,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb2_sk1_bd1_xcd,1194.75,1481.33,0.0007 -gfx950,256,928,16384,1536,128x128,flydsl,bmm,1,40.713,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1,1147.24,1400.34,0.0007 -gfx950,256,960,16384,1536,128x128,flydsl,bmm,1,41.065,flydsl_bmm_mxfp8_mfma_t128x128x128_w2x2_nb2_sk1,1176.63,1415.09,0.0007 -gfx950,256,992,16384,1536,128x128,flydsl,bmm,1,41.902,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1,1191.57,1413.04,0.0007 -gfx950,256,1024,16384,1536,128x128,flydsl,bmm,1,42.121,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb3_sk1_bd1,1223.62,1431.77,0.0007 -gfx950,256,1088,16384,1536,128x128,flydsl,bmm,1,46.689,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,1172.88,1338.7,0.0007 -gfx950,256,1152,16384,1536,128x128,flydsl,bmm,1,45.432,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1,1276.24,1424.09,0.0007 -gfx950,256,1216,16384,1536,128x128,flydsl,bmm,1,50.023,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd2,1223.5,1337.3,0.0007 -gfx950,256,1280,16384,1536,128x128,flydsl,bmm,1,51.197,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3,1258.35,1349.52,0.0007 -gfx950,256,1344,16384,1536,128x128,flydsl,bmm,1,53.011,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1,1276.07,1344.78,0.0007 -gfx950,256,1408,16384,1536,128x128,flydsl,bmm,1,53.601,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1,1322.13,1370.96,0.0007 -gfx950,256,1472,16384,1536,128x128,flydsl,bmm,1,53.379,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb3_sk1_bd1,1387.95,1417.78,0.0007 -gfx950,256,1536,16384,1536,128x128,flydsl,bmm,1,53.092,flydsl_bmm_mxfp8_mfma_t96x256x128_w1x4_nb2_sk1_bd1,1456.15,1466.83,0.0007 -gfx950,256,1600,16384,1536,128x128,flydsl,bmm,1,61.51,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,1309.22,1301.78,0.0007 -gfx950,256,1664,16384,1536,128x128,flydsl,bmm,1,61.168,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1369.2,1344.96,0.0007 -gfx950,256,1728,16384,1536,128x128,flydsl,bmm,1,61.767,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1408.08,1367.48,0.0007 -gfx950,256,1792,16384,1536,128x128,flydsl,bmm,1,62.257,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_xcd,1448.75,1392.0,0.0007 -gfx950,256,1856,16384,1536,128x128,flydsl,bmm,1,64.43,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1449.89,1379.15,0.0007 -gfx950,256,1920,16384,1536,128x128,flydsl,bmm,1,64.51,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1498.0,1411.47,0.0007 -gfx950,256,1984,16384,1536,128x128,flydsl,bmm,1,66.119,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1510.28,1410.35,0.0007 -gfx950,256,2048,16384,1536,128x128,flydsl,bmm,1,67.039,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1537.6,1423.74,0.0007 -gfx950,256,4096,16384,1536,128x128,flydsl,bmm,1,123.012,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1675.92,1347.23,0.0007 -gfx950,256,6144,16384,1536,128x128,flydsl,bmm,1,176.436,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1752.69,1337.62,0.0007 -gfx950,256,8192,16384,1536,128x128,flydsl,bmm,1,233.166,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1768.34,1313.59,0.0007 -gfx950,256,10240,16384,1536,128x128,flydsl,bmm,1,285.875,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1802.87,1317.23,0.0007 -gfx950,256,12288,16384,1536,128x128,flydsl,bmm,1,340.119,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1818.41,1313.78,0.0007 -gfx950,256,14336,16384,1536,128x128,flydsl,bmm,1,391.94,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1840.98,1319.39,0.0007 -gfx950,256,16384,16384,1536,128x128,flydsl,bmm,1,473.583,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1741.27,1240.33,0.0007 -gfx950,256,20480,16384,1536,128x128,flydsl,bmm,1,545.39,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1890.01,1334.75,0.0007 -gfx950,256,24576,16384,1536,128x128,flydsl,bmm,1,671.414,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1842.31,1293.57,0.0007 -gfx950,256,28672,16384,1536,128x128,flydsl,bmm,1,758.014,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1903.8,1331.21,0.0007 -gfx950,256,32768,16384,1536,128x128,flydsl,bmm,1,883.829,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1866.05,1300.74,0.0007 -gfx950,256,40960,16384,1536,128x128,flydsl,bmm,1,1075.795,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1916.34,1329.95,0.0007 -gfx950,256,49152,16384,1536,128x128,flydsl,bmm,1,1277.116,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb4_sk1_bd2,1937.1,1340.42,0.0007 -gfx950,256,57344,16384,1536,128x128,flydsl,bmm,1,1506.129,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1916.31,1323.25,0.0007 -gfx950,256,65536,16384,1536,128x128,flydsl,bmm,1,1736.646,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1899.37,1309.48,0.0007 -gfx950,256,1,65536,1536,128x128,flydsl,bmm,1,15.945,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb5_sk1_bd3_nt,12.63,6321.77,0.0005 -gfx950,256,2,65536,1536,128x128,flydsl,bmm,1,15.905,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk1_bd3_nt,25.32,6345.95,0.0006 -gfx950,256,4,65536,1536,128x128,flydsl,bmm,1,15.905,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk1_bd4_nt,50.63,6362.75,0.0007 -gfx950,256,8,65536,1536,128x128,flydsl,bmm,1,15.941,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb6_sk1_bd3_nt,101.03,6381.61,0.0007 -gfx950,256,16,65536,1536,128x128,flydsl,bmm,1,16.3,flydsl_bmm_mxfp8_mfma_t16x32x128_w1x2_nb5_sk1_bd2_nt,197.62,6306.31,0.0007 -gfx950,256,32,65536,1536,128x128,flydsl,bmm,1,16.81,flydsl_bmm_mxfp8_mfma_t32x64x128_w2x2_nb6_sk1_nt,383.25,6241.12,0.0007 -gfx950,256,48,65536,1536,128x128,flydsl,bmm,1,18.277,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd2_nt,528.72,5856.15,0.0007 -gfx950,256,64,65536,1536,128x128,flydsl,bmm,1,18.825,flydsl_bmm_mxfp8_mfma_t64x128x128_w1x4_nb4_sk1_bd1_nt,684.46,5798.58,0.0007 -gfx950,256,80,65536,1536,128x128,flydsl,bmm,1,20.2,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb4_sk1_bd1_nt,797.32,5508.76,0.0007 -gfx950,256,96,65536,1536,128x128,flydsl,bmm,1,21.193,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x4_nb3_sk1_bd1_nt_xcd,911.95,5350.78,0.0007 -gfx950,256,112,65536,1536,128x128,flydsl,bmm,1,22.859,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb4_sk1_bd2_nt,986.41,5053.68,0.0008 -gfx950,256,128,65536,1536,128x128,flydsl,bmm,1,23.648,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_nt,1089.72,4974.81,0.0007 -gfx950,256,144,65536,1536,128x128,flydsl,bmm,1,27.883,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_nt,1039.75,4295.37,0.0007 -gfx950,256,160,65536,1536,128x128,flydsl,bmm,1,28.745,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2_nt,1120.61,4240.32,0.0007 -gfx950,256,176,65536,1536,128x128,flydsl,bmm,1,29.189,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_nt,1213.94,4248.57,0.0007 -gfx950,256,192,65536,1536,128x128,flydsl,bmm,1,29.365,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_nt,1316.36,4295.36,0.0007 -gfx950,256,208,65536,1536,128x128,flydsl,bmm,1,33.024,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1_nt_xcd,1268.06,3883.72,0.0007 -gfx950,256,224,65536,1536,128x128,flydsl,bmm,1,33.452,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1_nt,1348.1,3897.37,0.0007 -gfx950,256,240,65536,1536,128x128,flydsl,bmm,1,36.225,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1333.85,3657.68,0.0007 -gfx950,256,256,65536,1536,128x128,flydsl,bmm,1,36.496,flydsl_bmm_mxfp8_mfma_t256x256x128_w1x4_nb2_sk1_bd1_xcd,1412.18,3688.58,0.0007 -gfx950,256,288,65536,1536,128x128,flydsl,bmm,1,53.742,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb2_sk1_bd1_xcd,1078.89,2583.89,0.0007 -gfx950,256,320,65536,1536,128x128,flydsl,bmm,1,54.056,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb2_sk1_bd1,1191.81,2647.39,0.0007 -gfx950,256,352,65536,1536,128x128,flydsl,bmm,1,54.605,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd1_xcd,1297.82,2698.52,0.0007 -gfx950,256,384,65536,1536,128x128,flydsl,bmm,1,53.902,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb3_sk1_bd2_xcd,1434.25,2812.42,0.0007 -gfx950,256,416,65536,1536,128x128,flydsl,bmm,1,68.732,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1218.53,2267.35,0.0007 -gfx950,256,448,65536,1536,128x128,flydsl,bmm,1,71.449,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1262.37,2240.53,0.0007 -gfx950,256,480,65536,1536,128x128,flydsl,bmm,1,72.392,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1_xcd,1334.91,2269.97,0.0007 -gfx950,256,512,65536,1536,128x128,flydsl,bmm,1,74.595,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1381.86,2259.82,0.0007 -gfx950,256,544,65536,1536,128x128,flydsl,bmm,1,87.049,flydsl_bmm_mxfp8_mfma_t192x128x128_w4x2_nb3_sk1,1258.16,1985.25,0.0007 -gfx950,256,576,65536,1536,128x128,flydsl,bmm,1,81.044,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd1,1430.87,2184.71,0.0007 -gfx950,256,608,65536,1536,128x128,flydsl,bmm,1,96.189,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd,1272.56,1884.85,0.0007 -gfx950,256,640,65536,1536,128x128,flydsl,bmm,1,96.934,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd,1329.24,1914.15,0.0007 -gfx950,256,672,65536,1536,128x128,flydsl,bmm,1,100.034,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1352.45,1897.26,0.0007 -gfx950,256,704,65536,1536,128x128,flydsl,bmm,1,102.98,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1376.32,1884.18,0.0007 -gfx950,256,736,65536,1536,128x128,flydsl,bmm,1,105.73,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1_xcd,1401.46,1875.32,0.0007 -gfx950,256,768,65536,1536,128x128,flydsl,bmm,1,106.456,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1_xcd,1452.42,1902.4,0.0007 -gfx950,256,800,65536,1536,128x128,flydsl,bmm,1,128.316,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1255.19,1611.37,0.0007 -gfx950,256,832,65536,1536,128x128,flydsl,bmm,1,128.379,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd,1304.76,1643.65,0.0007 -gfx950,256,864,65536,1536,128x128,flydsl,bmm,1,128.631,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd,1352.29,1673.42,0.0007 -gfx950,256,896,65536,1536,128x128,flydsl,bmm,1,129.517,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd1_xcd,1392.78,1694.73,0.0007 -gfx950,256,928,65536,1536,128x128,flydsl,bmm,1,132.619,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1_xcd,1408.78,1687.1,0.0007 -gfx950,256,960,65536,1536,128x128,flydsl,bmm,1,135.592,flydsl_bmm_mxfp8_mfma_t256x128x128_w4x2_nb3_sk1,1425.41,1681.4,0.0007 -gfx950,256,992,65536,1536,128x128,flydsl,bmm,1,139.431,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1432.36,1665.54,0.0007 -gfx950,256,1024,65536,1536,128x128,flydsl,bmm,1,140.536,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1_xcd,1466.94,1682.64,0.0007 -gfx950,256,1088,65536,1536,128x128,flydsl,bmm,1,150.081,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1459.5,1632.19,0.0007 -gfx950,256,1152,65536,1536,128x128,flydsl,bmm,1,156.894,flydsl_bmm_mxfp8_mfma_t96x128x128_w1x2_nb3_sk1_bd1,1478.25,1615.41,0.0007 -gfx950,256,1216,65536,1536,128x128,flydsl,bmm,1,162.006,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1511.14,1616.82,0.0007 -gfx950,256,1280,65536,1536,128x128,flydsl,bmm,1,162.859,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1582.34,1660.47,0.0007 -gfx950,256,1344,65536,1536,128x128,flydsl,bmm,1,172.478,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1568.79,1617.08,0.0007 -gfx950,256,1408,65536,1536,128x128,flydsl,bmm,1,184.187,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1539.02,1560.36,0.0007 -gfx950,256,1472,65536,1536,128x128,flydsl,bmm,1,187.577,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb2_sk1_bd1,1579.9,1577.41,0.0007 -gfx950,256,1536,65536,1536,128x128,flydsl,bmm,1,189.723,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1629.94,1604.3,0.0007 -gfx950,256,1600,65536,1536,128x128,flydsl,bmm,1,206.105,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1562.9,1517.97,0.0007 -gfx950,256,1664,65536,1536,128x128,flydsl,bmm,1,205.637,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1629.12,1562.7,0.0007 -gfx950,256,1728,65536,1536,128x128,flydsl,bmm,1,210.019,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1656.48,1570.51,0.0007 -gfx950,256,1792,65536,1536,128x128,flydsl,bmm,1,213.131,flydsl_bmm_mxfp8_mfma_t256x256x128_w2x4_nb2_sk1_xcd_sps,1692.75,1587.4,0.0007 -gfx950,256,1856,65536,1536,128x128,flydsl,bmm,1,231.407,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1614.74,1498.71,0.0007 -gfx950,256,1920,65536,1536,128x128,flydsl,bmm,1,236.602,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1633.74,1501.68,0.0007 -gfx950,256,1984,65536,1536,128x128,flydsl,bmm,1,244.386,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1634.43,1488.58,0.0007 -gfx950,256,2048,65536,1536,128x128,flydsl,bmm,1,250.542,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1645.7,1485.88,0.0007 -gfx950,256,4096,65536,1536,128x128,flydsl,bmm,1,481.712,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1711.88,1336.65,0.0007 -gfx950,256,6144,65536,1536,128x128,flydsl,bmm,1,694.038,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1782.25,1319.07,0.0007 -gfx950,256,8192,65536,1536,128x128,flydsl,bmm,1,937.068,flydsl_bmm_mxfp8_mfma_t224x256x128_w1x4_nb2_sk1_bd1_xcd,1760.03,1266.82,0.0007 -gfx950,256,10240,65536,1536,128x128,flydsl,bmm,1,1114.45,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1849.87,1308.9,0.0007 -gfx950,256,12288,65536,1536,128x128,flydsl,bmm,1,1331.057,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1858.6,1299.95,0.0007 -gfx950,256,14336,65536,1536,128x128,flydsl,bmm,1,1543.647,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1869.74,1296.87,0.0007 -gfx950,256,16384,65536,1536,128x128,flydsl,bmm,1,1766.89,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb4_sk1_bd1,1866.86,1286.73,0.0007 -gfx950,256,20480,65536,1536,128x128,flydsl,bmm,1,2130.145,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1935.63,1322.32,0.0007 -gfx950,256,24576,65536,1536,128x128,flydsl,bmm,1,2566.578,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x2_nb3_sk1_bd1,1927.78,1309.11,0.0007 -gfx950,256,28672,65536,1536,128x128,flydsl,bmm,1,2974.371,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1940.73,1312.26,0.0007 -gfx950,256,32768,65536,1536,128x128,flydsl,bmm,1,3438.888,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1918.37,1292.96,0.0007 -gfx950,256,40960,65536,1536,128x128,flydsl,bmm,1,4191.566,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1,1967.36,1319.98,0.0007 -gfx950,256,49152,65536,1536,128x128,flydsl,bmm,1,4914.687,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb4_sk1_bd2,2013.48,1346.82,0.0007 -gfx950,256,57344,65536,1536,128x128,flydsl,bmm,1,5805.52,flydsl_bmm_mxfp8_mfma_t256x256x128_w4x2_nb2_sk1_sps,1988.6,1327.29,0.0007 -gfx950,256,65536,65536,1536,128x128,flydsl,bmm,1,6830.474,flydsl_bmm_mxfp8_mfma_t112x256x128_w1x2_nb2_sk1_bd1,1931.66,1287.18,0.0007 +gfx950,256,1,768,7168,128x128,flydsl,bmm,4,5.311,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb4_sk4_nt,2.07,1038.17,0.0013 +gfx950,256,2,768,7168,128x128,flydsl,bmm,4,4.8835,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb4_sk4_nt,4.51,1130.83,0.002 +gfx950,256,4,768,7168,128x128,flydsl,bmm,4,5.0839,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt,8.66,1089.68,0.0013 +gfx950,256,8,768,7168,128x128,flydsl,bmm,4,4.7418,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt_sps,18.58,1175.64,0.0013 +gfx950,256,16,768,7168,128x128,flydsl,bmm,4,5.2754,flydsl_bmm_mxfp8_mfma_t16x16x256_w1x1_nb6_sk4_nt,33.39,1069.93,0.0009 +gfx950,256,32,768,7168,128x128,flydsl,bmm,4,5.8252,flydsl_bmm_mxfp8_mfma_t32x16x256_w2x1_nb6_sk4_sps,60.48,992.85,0.0009 +gfx950,256,48,768,7168,128x128,flydsl,bmm,4,6.412,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4,82.42,923.71,0.0009 +gfx950,256,64,768,7168,128x128,flydsl,bmm,4,6.2203,flydsl_bmm_mxfp8_mfma_t32x32x256_w2x2_nb4_sk4,113.28,974.56,0.0008 +gfx950,256,80,768,7168,128x128,flydsl,bmm,4,6.6942,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4_xcd,131.58,926.38,0.0008 +gfx950,256,96,768,7168,128x128,flydsl,bmm,4,6.9227,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4_xcd,152.68,915.92,0.0008 +gfx950,256,112,768,7168,128x128,flydsl,bmm,4,7.0751,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4_xcd,174.29,915.87,0.0008 +gfx950,256,128,768,7168,128x128,flydsl,bmm,4,7.3867,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk4,190.79,896.09,0.0007 +gfx950,256,144,768,7168,128x128,flydsl,bmm,4,8.2593,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk4,191.96,818.28,0.0007 +gfx950,256,160,768,7168,128x128,flydsl,bmm,4,8.1066,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk4_xcd,217.31,850.87,0.0007 +gfx950,256,176,768,7168,128x128,flydsl,bmm,4,8.5315,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk4,227.13,824.82,0.0008 +gfx950,256,192,768,7168,128x128,flydsl,bmm,4,8.7913,flydsl_bmm_mxfp8_mfma_t96x32x256_w2x2_nb4_sk4_xcd,240.46,816.28,0.0007 +gfx950,256,208,768,7168,128x128,flydsl,bmm,4,9.0649,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb4_sk4_xcd,252.63,807.01,0.0007 +gfx950,256,224,768,7168,128x128,flydsl,bmm,4,8.8742,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb4_sk4_xcd,277.91,840.04,0.0007 +gfx950,256,240,768,7168,128x128,flydsl,bmm,4,9.269,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb4_sk4_xcd,285.08,819.29,0.0007 +gfx950,256,256,768,7168,128x128,flydsl,bmm,4,9.3555,flydsl_bmm_mxfp8_mfma_t64x64x256_w2x2_nb4_sk4_xcd,301.27,826.6,0.0007 +gfx950,256,288,768,7168,128x128,flydsl,bmm,2,10.3227,flydsl_bmm_mxfp8_mfma_t64x32x256_w2x2_nb4_sk2_xcd,307.18,776.13,0.0007 +gfx950,256,320,768,7168,128x128,flydsl,bmm,4,10.4231,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk4_xcd,338.02,795.38,0.0007 +gfx950,256,352,768,7168,128x128,flydsl,bmm,4,10.597,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb4_sk4_xcd,365.72,808.61,0.0007 +gfx950,256,384,768,7168,128x128,flydsl,bmm,4,11.0463,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk4_xcd,382.74,800.93,0.0007 +gfx950,256,416,768,7168,128x128,flydsl,bmm,4,12.4097,flydsl_bmm_mxfp8_mfma_t96x64x128_w2x2_nb5_sk4_xcd,369.08,735.38,0.0007 +gfx950,256,448,768,7168,128x128,flydsl,bmm,2,11.8015,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk2_bd2,417.96,796.88,0.0007 +gfx950,256,480,768,7168,128x128,flydsl,bmm,2,12.0787,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk2_bd2,437.53,801.65,0.0007 +gfx950,256,512,768,7168,128x128,flydsl,bmm,2,12.8851,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb5_sk2_xcd,437.49,773.1,0.0007 +gfx950,256,544,768,7168,128x128,flydsl,bmm,1,13.9859,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2,428.25,732.17,0.0007 +gfx950,256,576,768,7168,128x128,flydsl,mxfp8,2,13.9938,flydsl_mxpsh_32x64x512_F8_F8_B16_w2_x4_sk2_fsk,453.19,751.66,0.0007 +gfx950,256,608,768,7168,128x128,flydsl,bmm,2,13.0705,flydsl_bmm_mxfp8_mfma_t64x64x128_w4x1_nb5_sk2_xcd,512.15,826.06,0.0007 +gfx950,256,640,768,7168,128x128,flydsl,bmm,2,13.3326,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk2_bd2_xcd,528.51,830.71,0.0007 +gfx950,256,672,768,7168,128x128,flydsl,bmm,1,15.1353,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,488.84,750.17,0.0007 +gfx950,256,704,768,7168,128x128,flydsl,bmm,1,14.8326,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_xcd,522.57,784.26,0.0007 +gfx950,256,736,768,7168,128x128,flydsl,bmm,1,14.9574,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2,541.76,796.34,0.0008 +gfx950,256,768,768,7168,128x128,flydsl,bmm,1,14.9947,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2,563.91,812.93,0.0008 +gfx950,256,800,768,7168,128x128,flydsl,bmm,1,14.6918,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2_xcd,599.52,848.65,0.0008 +gfx950,256,832,768,7168,128x128,flydsl,bmm,1,14.623,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2,626.44,871.69,0.0008 +gfx950,256,864,768,7168,128x128,flydsl,bmm,1,15.2355,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_xcd,624.38,854.93,0.0008 +gfx950,256,896,768,7168,128x128,flydsl,bmm,1,14.8655,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_xcd,663.62,894.95,0.0008 +gfx950,256,928,768,7168,128x128,flydsl,bmm,1,14.413,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2,708.9,942.37,0.0008 +gfx950,256,960,768,7168,128x128,flydsl,bmm,1,15.1103,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb5_sk1_bd2,699.5,917.31,0.0008 +gfx950,256,992,768,7168,128x128,flydsl,bmm,1,15.0006,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x4_nb6_sk1_bd2_xcd,728.1,942.59,0.0008 +gfx950,256,1024,768,7168,128x128,flydsl,bmm,1,15.5244,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x2_nb5_sk1_bd2_xcd,726.23,928.73,0.0008 +gfx950,256,1088,768,7168,128x128,flydsl,bmm,1,17.1138,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x2_nb5_sk1_bd2_xcd,699.96,875.02,0.0008 +gfx950,256,1152,768,7168,128x128,flydsl,bmm,1,16.562,flydsl_bmm_mxfp8_mfma_t48x64x256_w1x2_nb5_sk1_bd2_xcd,765.82,937.81,0.0008 +gfx950,256,1216,768,7168,128x128,flydsl,bmm,1,18.5621,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2_xcd,721.27,866.77,0.0007 +gfx950,256,1280,768,7168,128x128,flydsl,bmm,1,16.9514,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2,831.37,981.99,0.0007 +gfx950,256,1344,768,7168,128x128,flydsl,bmm,1,18.5508,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x4_nb4_sk1_bd2_xcd,797.67,927.36,0.0007 +gfx950,256,1408,768,7168,128x128,flydsl,bmm,1,19.1262,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb4_sk1_bd2_xcd,810.52,928.58,0.0007 +gfx950,256,1472,768,7168,128x128,flydsl,bmm,1,20.4688,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb4_sk1_bd3_xcd,791.78,894.89,0.0008 +gfx950,256,1536,768,7168,128x128,flydsl,bmm,1,19.0658,flydsl_bmm_mxfp8_mfma_t64x64x256_w1x2_nb4_sk1_bd2_xcd,887.0,989.96,0.0008 +gfx950,256,1600,768,7168,128x128,flydsl,bmm,1,21.2397,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb6_sk1_bd2_xcd,829.39,914.86,0.0008 +gfx950,256,1664,768,7168,128x128,flydsl,bmm,1,21.3331,flydsl_bmm_mxfp8_mfma_t96x64x256_w1x4_nb4_sk1_bd2_xcd,858.79,936.97,0.0007 +gfx950,256,1728,768,7168,128x128,flydsl,bmm,1,21.6667,flydsl_bmm_mxfp8_mfma_t96x64x256_w1x4_nb4_sk1_bd2_xcd,878.09,948.25,0.0007 +gfx950,256,1792,768,7168,128x128,flydsl,bmm,1,21.2933,flydsl_bmm_mxfp8_mfma_t96x64x256_w1x4_nb4_sk1_bd2_xcd,926.58,991.04,0.0007 +gfx950,256,1856,768,7168,128x128,flydsl,bmm,1,21.8805,flydsl_bmm_mxfp8_mfma_t96x64x256_w1x4_nb4_sk1_bd2_xcd,933.92,989.91,0.0007 +gfx950,256,1920,768,7168,128x128,flydsl,bmm,1,21.7651,flydsl_bmm_mxfp8_mfma_t96x64x256_w1x4_nb4_sk1_bd2_xcd,971.25,1020.75,0.0007 +gfx950,256,1984,768,7168,128x128,flydsl,bmm,1,22.0587,flydsl_bmm_mxfp8_mfma_t48x128x256_w1x4_nb7_sk1_bd2_xcd,990.26,1032.42,0.0007 +gfx950,256,2048,768,7168,128x128,flydsl,bmm,2,23.9016,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk2_bd3_xcd,943.39,976.12,0.0007 +gfx950,256,4096,768,7168,128x128,flydsl,bmm,1,36.2763,flydsl_bmm_mxfp8_mfma_t128x128x128_w1x4_nb4_sk1_bd3_xcd,1243.16,1134.53,0.0007 +gfx950,256,6144,768,7168,128x128,flydsl,mxfp8,1,49.1454,flydsl_mxpsh_96x128x256_F8_F8_B16_w4_x0_sk1,1376.44,1200.16,0.0007 +gfx950,256,8192,768,7168,128x128,flydsl,bmm,1,57.989,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1555.37,1324.53,0.0007 +gfx950,256,10240,768,7168,128x128,flydsl,bmm,1,61.8879,flydsl_bmm_mxfp8_mfma_t128x256x128_w1x4_nb3_sk1_bd2_xcd,1821.73,1529.12,0.0007 +gfx950,256,12288,768,7168,128x128,flydsl,bmm,1,78.3021,flydsl_bmm_mxfp8_mfma_t192x256x128_w1x4_nb4_sk1_bd2,1727.81,1436.23,0.0007 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-gfx950,256,2048,8192,1536,128x128,flydsl,25888,1,30.3213,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1699.78,1625.36,0.0 -gfx950,256,4096,8192,1536,128x128,flydsl,25888,1,57.7559,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1784.74,1488.74,0.0 -gfx950,256,8192,8192,1536,128x128,flydsl,25824,1,107.1705,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1923.65,1487.2,0.0 -gfx950,256,16384,8192,1536,128x128,flydsl,25824,1,200.9267,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,2052.08,1523.86,0.0 -gfx950,256,32768,8192,1536,128x128,flydsl,25824,1,376.2642,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,2191.63,1594.05,0.0 -gfx950,256,16,16384,1536,128x128,flydsl,18496,1,8.0459,flydsl_mxpsh_32x32x256_F8_F8_B16_w2_x0_sk1,100.09,3196.0,0.0 -gfx950,256,48,16384,1536,128x128,flydsl,21280,1,9.4552,flydsl_mxpsh_64x64x256_F8_F8_B16_w4_x4_sk1,255.51,2835.73,0.0 -gfx950,256,80,16384,1536,128x128,flydsl,23296,1,9.8247,flydsl_mxpsh_96x64x256_F8_F8_B16_w0_x0_sk1,409.84,2840.81,0.0 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-gfx950,256,28672,16384,1536,128x128,flydsl,25888,1,655.6558,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,2201.02,1538.51,0.0 -gfx950,256,16,65536,1536,128x128,flydsl,19264,1,19.1238,flydsl_mxpsh_32x128x256_F8_F8_B16_w2_x0_sk1,168.44,5374.72,0.0 -gfx950,256,32,65536,1536,128x128,flydsl,19360,1,19.8536,flydsl_mxpsh_32x128x256_F8_F8_B16_w4_x4_sk1,324.5,5284.02,0.0 -gfx950,256,64,65536,1536,128x128,flydsl,21536,1,23.6488,flydsl_mxpsh_64x128x256_F8_F8_B16_w0_x4_sk1,544.84,4615.46,0.0 -gfx950,256,128,65536,1536,128x128,flydsl,25664,1,27.6738,flydsl_mxpsh_128x128x256_F8_F8_B16_w2_x0_sk1,931.2,4250.85,0.0 -gfx950,256,256,65536,1536,128x128,flydsl,25888,1,35.5164,flydsl_mxpsh_128x256x128_F8_F8_B16_w2_x4_sk1,1451.15,3790.11,0.0 -gfx950,256,512,65536,1536,128x128,flydsl,25824,1,68.2112,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1511.18,2471.13,0.0 -gfx950,256,1024,65536,1536,128x128,flydsl,23968,1,131.3099,flydsl_mxpsh_96x256x128_F8_F8_B16_w2_x4_sk1,1570.01,1800.73,0.0 -gfx950,256,2048,65536,1536,128x128,flydsl,23904,1,240.078,flydsl_mxpsh_96x256x128_F8_F8_B16_w0_x4_sk1,1717.43,1550.51,0.0 -gfx950,256,4096,65536,1536,128x128,flydsl,25824,1,428.3853,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,1924.98,1502.91,0.0 -gfx950,256,8192,65536,1536,128x128,flydsl,25824,1,747.1354,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,2207.45,1588.72,0.0 -gfx950,256,16384,65536,1536,128x128,flydsl,25824,1,1452.1279,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,2271.52,1565.5,0.0 -gfx950,256,32768,65536,1536,128x128,flydsl,25824,1,3059.4819,flydsl_mxpsh_128x256x128_F8_F8_B16_w0_x4_sk1,2156.27,1453.17,0.0 diff --git a/aiter/ops/flydsl/gemm_a8w8_mxfp8_8wave.py b/aiter/ops/flydsl/gemm_a8w8_mxfp8_8wave.py index e1e2427e236..3a5a1ab4ec3 100644 --- a/aiter/ops/flydsl/gemm_a8w8_mxfp8_8wave.py +++ b/aiter/ops/flydsl/gemm_a8w8_mxfp8_8wave.py @@ -107,6 +107,7 @@ def compile_mxfp8_8wave_gemm( waves_per_eu: int, xcd_swizzle: int, scale_preshuffled: bool = False, + w_scale_block: str = "1x32", ): """Compile (and memoize) an 8-wave mxfp8 launcher.""" _lazy_import() @@ -119,6 +120,8 @@ def compile_mxfp8_8wave_gemm( scale_preshuffled=bool(scale_preshuffled), waves_per_eu=int(waves_per_eu), xcd_swizzle=int(xcd_swizzle), + b_scale_block=w_scale_block, + a_scale_block="1x128" if w_scale_block == "128x128" else "1x32", ) @@ -136,13 +139,18 @@ def flydsl_mxfp8_8wave_gemm( *, waves_per_eu: int = 2, xcd_swizzle: int = 0, + w_scale_block: str = "1x32", ) -> Tensor: """Run the 8-wave mxfp8 GEMM; writes into ``Out`` and returns it. XQ: ``(M, K)`` fp8 e4m3. WQ: ``(N, K)`` fp8 e4m3 in ``shuffle_weight`` ``(16, 16)`` layout. x_scale ``[M, K/32]`` / w_scale ``[N, K/32]`` e8m0, row-major and unshuffled; a 1-D scale pair is the ``shuffle_scale_w4`` - layout over rows padded to 256. Out: ``(M, N)`` bf16. + layout over rows padded to 256. ``w_scale_block="32x32"`` takes a row-major + w_scale ``[N/32, K/32]`` (N a multiple of 32); ``"128x128"`` the blockscale + pair, w_scale ``[N/128, K/128]`` (N a multiple of 128, K >= 512) and x_scale + a contiguous ``(M, K/128)`` holding the column-major ``[K/128, M]`` bytes, as + bmm's transposed x_scale. Out: ``(M, N)`` bf16. M need not be a multiple of 256 nor N: out-of-range A/B/scale reads return zero via the buffer descriptors, C row overflow is dropped the same way, and @@ -181,6 +189,21 @@ def flydsl_mxfp8_8wave_gemm( "[FlyDSL mxfp8 8wave] x_scale and w_scale must both be row-major 2-D " "or both pre-shuffled 1-D" ) + # w_scale rows per scale row, x_scale K per scale column. + blocks = {"1x32": (1, 32), "32x32": (32, 32), "128x128": (128, 128)} + if w_scale_block not in blocks: + raise ValueError( + f"[FlyDSL mxfp8 8wave] w_scale_block must be one of {sorted(blocks)}, " + f"got {w_scale_block!r}" + ) + w_rows, x_k = blocks[w_scale_block] + if w_rows > 1 and (scale_preshuffled or N % w_rows != 0): + raise ValueError( + f"[FlyDSL mxfp8 8wave] a {w_scale_block} w_scale is row-major 2-D with " + f"N a multiple of {w_rows}, got N={N}" + ) + if w_scale_block == "128x128" and K < 512: + raise ValueError("[FlyDSL mxfp8 8wave] a 128x128 w_scale needs K >= 512") if scale_preshuffled: want = { "x_scale": -(-M // 256) * 256 * K // 32, @@ -188,7 +211,10 @@ def flydsl_mxfp8_8wave_gemm( } got = {"x_scale": x_scale.numel(), "w_scale": w_scale.numel()} else: - want = {"x_scale": (M, K // SCALE_GROUP), "w_scale": (N, K // SCALE_GROUP)} + want = { + "x_scale": (M, K // x_k), + "w_scale": (N // w_rows, K // x_k), + } got = {"x_scale": tuple(x_scale.shape), "w_scale": tuple(w_scale.shape)} for name, t in (("x_scale", x_scale), ("w_scale", w_scale)): if got[name] != want[name]: @@ -213,6 +239,7 @@ def flydsl_mxfp8_8wave_gemm( waves_per_eu=int(waves_per_eu), xcd_swizzle=int(xcd_swizzle), scale_preshuffled=scale_preshuffled, + w_scale_block=w_scale_block, ) out_contig = Out.contiguous() @@ -276,6 +303,7 @@ def run_gemm_a8w8_mxfp8_8wave( w_scale: Tensor, Out: Tensor, kernel_name: str, + w_scale_block: str = "1x32", ) -> Tensor: """Dispatch entry: decode a tuned mxfp8 8wave kernelName and run the kernel.""" cfg = parse_mxfp8_8wave_kernel_name(kernel_name) @@ -296,4 +324,5 @@ def run_gemm_a8w8_mxfp8_8wave( Out, waves_per_eu=cfg["waves_per_eu"], xcd_swizzle=cfg["xcd_swizzle"], + w_scale_block=w_scale_block, ) diff --git a/aiter/ops/flydsl/gemm_tune/flydsl_gemm_mxscale_preshuffle_common.py b/aiter/ops/flydsl/gemm_tune/flydsl_gemm_mxscale_preshuffle_common.py index 314e3ed0999..37a2385d8c9 100644 --- a/aiter/ops/flydsl/gemm_tune/flydsl_gemm_mxscale_preshuffle_common.py +++ b/aiter/ops/flydsl/gemm_tune/flydsl_gemm_mxscale_preshuffle_common.py @@ -183,10 +183,12 @@ def parse_kernel_name(name: str): # a_/b_scale_block and a_/b_scale_layout Constexprs. A block is "1x32", or the # coarse "1x128" (A) / "128x128" (B) broadcast to the 1x32 MFMA (a8w8 only). # A layout is "mfma_tile" (pre-shuffled by the caller) or "row" (the unshuffled -# row-major [rows, K // 32] scale, staged through LDS by the kernel; 1x32 only). -# The defaults spell the a8w8 blockscale contract the tuned tables were built for. +# scale as quantized, a8w8, staged by the kernel: row-major [rows, K // 32] for +# 1x32; B's "32x32" row-major [N // 32, K // 32], its panel DMA repeating each +# scale row over its 32 N-rows; A's "1x128" the blockscale column-major +# [K // 128, M] bytes; B's "128x128" [N // 128, K // 128] -- bmm's scales). SCALE_BLOCKS_A = ("1x32", "1x128") -SCALE_BLOCKS_B = ("1x32", "128x128") +SCALE_BLOCKS_B = ("1x32", "128x128", "32x32") SCALE_LAYOUTS = ("mfma_tile", "row") # "row" layout: K-tiles per LDS scale-panel row. @@ -209,18 +211,34 @@ def row_scale_panel(rows: int, tile_k: int, num_threads: int) -> tuple[int, int, return rs, passes, (size + 15) // 16 * 16 +def col_scale_panel(tile_m: int, tile_k: int, num_threads: int) -> int: + """Bytes of one 1x128 column-major A-scale LDS panel: a K-tile's scales a + byte per lane in dword slots of their own, word-major (E slots per pair word + and 16-row lane), padded to whole passes.""" + k_halves = tile_k // 128 + slots = max(1, tile_m // 32) * max(1, k_halves // 2) * 16 * 2 * min(2, k_halves) + return -(-slots // num_threads) * num_threads * 4 + + def estimated_lds_bytes( ki: kernelInstance, a_scale_layout: str = "mfma_tile", b_scale_layout: str = "mfma_tile", + a_scale_block: str = "1x32", + b_scale_block: str = "1x32", ) -> int: """Double-buffered A tile in LDS (SharedA.a0/a1), row-major [tile_m][a_row_bytes], - plus the double-buffered scale panel of each row-layout operand.""" + plus the double-buffered scale panel of each row-layout operand: a 1x32-row + panel, a 1x128 A's column panel, none for a 128x128 B (read from global).""" lds = 2 * ki.tile_m * _a_row_bytes(ki.a_dtype, ki.tile_k) threads = min(_WAVES_PER_WG, ki.tile_n // _MFMA_N) * 64 - for layout, rows in ((a_scale_layout, ki.tile_m), (b_scale_layout, ki.tile_n)): - if layout == "row": - lds += 2 * row_scale_panel(rows, ki.tile_k, threads)[2] + if a_scale_layout == "row": + if a_scale_block == "1x128": + lds += 2 * col_scale_panel(ki.tile_m, ki.tile_k, threads) + else: + lds += 2 * row_scale_panel(ki.tile_m, ki.tile_k, threads)[2] + if b_scale_layout == "row" and b_scale_block != "128x128": + lds += 2 * row_scale_panel(ki.tile_n, ki.tile_k, threads)[2] return lds @@ -242,8 +260,9 @@ def instance_valid(ki: kernelInstance) -> bool: if ki.tile_m % 32 != 0 and not ( ki.tile_m == 16 and (ki.a_dtype, ki.b_dtype) == ("fp8", "fp8") ): - # The per-1x32 MX path packs M chunks in pairs. The M=16 exception is - # reserved for the blockscale a8w8 path, where one A scale broadcasts. + # A pre-shuffled per-1x32 A scale packs M chunks in pairs. a8w8 may run + # one 16-row chunk: its raw (row) scales pack a lone chunk's word with + # itself, and a mfma_tile 1x128 scale broadcasts. return False if ki.tile_n % 16 != 0: # MFMA emits 16 N-cols; tile_n must be a multiple of 16 return False @@ -267,10 +286,11 @@ def fits_shape( M: int, N: int, K: int, - a_scale_block: str = "1x128", - b_scale_block: str = "128x128", - a_scale_layout: str = "mfma_tile", - b_scale_layout: str = "mfma_tile", + *, + a_scale_block: str, + b_scale_block: str, + a_scale_layout: str, + b_scale_layout: str, ) -> bool: """M is ragged (grid ceil + OOB clip). K must be a multiple of 128: each e8m0 microscale half is 128-K, and tile_k=128 pairs two halves into one 256-K scale @@ -281,9 +301,8 @@ def fits_shape( whole number of tile_k K-tiles AND a whole number of 256-K e8m0 scale chunks, so the split boundary never straddles a tile or a microscale word. - The scale blocks / layouts are the kernel's (see SCALE_LAYOUTS); the defaults - are the a8w8 blockscale contract. A row-layout operand's scale panel must fit - LDS next to A.""" + The scale blocks / layouts are the kernel's (see SCALE_LAYOUTS), always named + by the caller. A row-layout operand's scale panel must fit LDS next to A.""" if K % 128 != 0: return False row_row = (a_scale_layout, b_scale_layout) == ("row", "row") @@ -293,14 +312,19 @@ def fits_shape( return False # the in-kernel reduce reads row-layout scales' fp32 partials if ( "row" in (a_scale_layout, b_scale_layout) - and estimated_lds_bytes(ki, a_scale_layout, b_scale_layout) > _max_lds_bytes() + and estimated_lds_bytes( + ki, a_scale_layout, b_scale_layout, a_scale_block, b_scale_block + ) + > _max_lds_bytes() ): return False if ki.tile_m == 16 and M > 16: return False - # blockscale is a8w8-only and needs whole 128-N blocks: shuffle_scale_blockscale_b - # takes (N//128, K//128) and the kernel reads 4 dwords per 128-N block. fp4/fp6 - # combos run the per-1x32 MX path (blockscale=False) and are exempt. + if b_scale_block == "32x32" and (b_scale_layout != "row" or N % 32 != 0): + return False # read row-major, one scale row per whole 32-N block + # A 128x128 b_scale is a8w8-only and needs whole 128-N blocks: (N//128, K//128) + # scales, one per 128-N block. fp4/fp6 combos run the per-1x32 MX path and + # are exempt. if ( (ki.a_dtype, ki.b_dtype) == ("fp8", "fp8") and b_scale_block == "128x128" @@ -438,6 +462,28 @@ def fits_shape_8wave(ki: EightWaveKernelInstance, M: int, N: int, K: int) -> boo ("b_scale_block", "1x32"), ("b_scale_layout", "row"), ) +# The same with bmm's 32x32 w_scale: row-major [N // 32, K // 32]. +MXFP8_ROW_SCALES_W32X32 = ( + ("a_scale_block", "1x32"), + ("a_scale_layout", "row"), + ("b_scale_block", "32x32"), + ("b_scale_layout", "row"), +) +# The blockscale pair, unshuffled as bmm's: x_scale 1x128 column-major +# [K // 128, M], w_scale 128x128 [N // 128, K // 128]. +MXFP8_ROW_SCALES_W128X128 = ( + ("a_scale_block", "1x128"), + ("a_scale_layout", "row"), + ("b_scale_block", "128x128"), + ("b_scale_layout", "row"), +) +# gemm_a8w8_mxfp8_bpreshuffle's w_scale block -> its kernels' scales (the +# x_scale block goes with it: 1x128 for 128x128, else 1x32). +MXFP8_ROW_SCALES_BY_W_SCALE_BLOCK = { + "1x32": MXFP8_ROW_SCALES, + "32x32": MXFP8_ROW_SCALES_W32X32, + "128x128": MXFP8_ROW_SCALES_W128X128, +} @dataclass(frozen=True) @@ -458,9 +504,40 @@ def _fits_mxpsh_row(ki: kernelInstance, M: int, N: int, K: int) -> bool: ) +def _fits_mxpsh_row_w32x32(ki: kernelInstance, M: int, N: int, K: int) -> bool: + return (ki.a_dtype, ki.b_dtype) == ("fp8", "fp8") and fits_shape( + ki, M, N, K, **dict(MXFP8_ROW_SCALES_W32X32) + ) + + +def _fits_8wave_w32x32(ki: EightWaveKernelInstance, M: int, N: int, K: int) -> bool: + return N % 32 == 0 and fits_shape_8wave(ki, M, N, K) + + +def _fits_mxpsh_row_w128x128(ki: kernelInstance, M: int, N: int, K: int) -> bool: + return (ki.a_dtype, ki.b_dtype) == ("fp8", "fp8") and fits_shape( + ki, M, N, K, **dict(MXFP8_ROW_SCALES_W128X128) + ) + + +def _fits_8wave_w128x128(ki: EightWaveKernelInstance, M: int, N: int, K: int) -> bool: + # A chunk stages a dword of each 128x128 scale row: K // 128 >= 4. + return N % 128 == 0 and K >= 512 and fits_shape_8wave(ki, M, N, K) + + # Order is the order candidates are emitted per shape. mxpsh's _fsk variants # are kernels_list entries (fused_split_k), not a pipeline of their own. MXFP8_ROW_PIPELINES: tuple[Pipeline, ...] = ( Pipeline("mxpsh", kernels_list, _fits_mxpsh_row), Pipeline("8wave", kernels_list_8wave, fits_shape_8wave), ) +# The same kernels (and kernelNames) on a 32x32 w_scale, and on the blockscale +# pair (1x128 column-major x_scale, 128x128 w_scale). +MXFP8_ROW_W32X32_PIPELINES: tuple[Pipeline, ...] = ( + Pipeline("mxpsh", kernels_list, _fits_mxpsh_row_w32x32), + Pipeline("8wave", kernels_list_8wave, _fits_8wave_w32x32), +) +MXFP8_ROW_W128X128_PIPELINES: tuple[Pipeline, ...] = ( + Pipeline("mxpsh", kernels_list, _fits_mxpsh_row_w128x128), + Pipeline("8wave", kernels_list_8wave, _fits_8wave_w128x128), +) diff --git a/aiter/ops/flydsl/kernels/gemm/mxscale_preshuffle.py b/aiter/ops/flydsl/kernels/gemm/mxscale_preshuffle.py index 071634fbaee..840258694a1 100644 --- a/aiter/ops/flydsl/kernels/gemm/mxscale_preshuffle.py +++ b/aiter/ops/flydsl/kernels/gemm/mxscale_preshuffle.py @@ -19,6 +19,7 @@ Float16, Float32, Int8, + Int16, Int32, T, ) @@ -30,6 +31,7 @@ make_kernel_name, row_scale_panel, ) +from aiter.ops.flydsl.kernels.buffer_ops import create_buffer_resource_from_addr from aiter.ops.flydsl.kernels.communication_ops_utils import ( atomic_add_agent, load_i32_global_agent, @@ -150,38 +152,37 @@ def _launch_gemm_impl( b_scale_layout: Constexpr[str] = "mfma_tile", fused_split_k: Constexpr[bool] = False, ): - """Direct @flyc.jit launcher. Operands are fx.Pointer (pass ptr_arg(t): raw data_ptr, no - per-launch DLPack). Compile once with flyc.compile, then cf(*runtime). a_dtype fp4/fp6/fp8 - A x preshuffled b_dtype (fp4/fp8) B, e8m0 scales (a8w8 = a_dtype=fp8, b_dtype=fp8). - batch>1 = strided-batched over grid.z. The a_/sca_/c_ row/batch strides make A/scale_a/C - addressing caller-controlled; each <0 keeps the contiguous [B,M,*] bmn default, all set = - the [M,B,*] mbn layout. waves_per_eu<=0 = unset. - - Each operand's e8m0 scale has its own block and layout: - a_scale_block "1x32" | "1x128" (1x128 broadcasts to the 1x32 MFMA, a8w8 only), - b_scale_block "1x32" | "128x128" (likewise), - *_scale_layout "mfma_tile": pre-shuffled by the caller (shuffle_scale_a16w4 for - 1x32, shuffle_scale_blockscale_a/_b for the coarse blocks), read from global; - "row": the unshuffled row-major [rows, K//32] tensor (no row padding), staged - through LDS by the kernel (1x32, a8w8, batch 1). - """ BM, BN, BK = tile_m, tile_n, tile_k assert a_scale_block in ("1x32", "1x128"), f"a_scale_block {a_scale_block}" - assert b_scale_block in ("1x32", "128x128"), f"b_scale_block {b_scale_block}" - _bs_a = a_scale_block == "1x128" - _bs_b = b_scale_block == "128x128" - # The coarse blocks' former single spelling, still used by the fused small-M - # gate and the GPU symbol. + assert b_scale_block in ( + "1x32", + "128x128", + "32x32", + ), f"b_scale_block {b_scale_block}" + for _layout in (a_scale_layout, b_scale_layout): + assert _layout in ("mfma_tile", "row"), f"scale layout {_layout}" + _row_a = a_scale_layout == "row" + _row_b = b_scale_layout == "row" + # mfma_tile coarse blocks: broadcast to the 1x32 MFMA in the load address. + _bs_a = a_scale_block == "1x128" and not _row_a + _bs_b = b_scale_block == "128x128" and not _row_b + # Row (unshuffled) coarse blocks: A's column panel, B's per-wave row. + _rc_a = a_scale_block == "1x128" and _row_a + _rc_b = b_scale_block == "128x128" and _row_b + _b32 = b_scale_block == "32x32" + assert not _b32 or b_scale_layout == "row", "a 32x32 b_scale is row layout only" + # 1x32-granular row operands go through the chunked row panel. + _pa = _row_a and not _rc_a + _pb = _row_b and not _rc_b + _panel_any = _pa or _pb + # The mfma_tile coarse blocks' former single spelling, still used by the fused + # small-M gate and the GPU symbol. blockscale = { (False, False): "none", (True, False): "a", (False, True): "b", (True, True): "ab", }[(_bs_a, _bs_b)] - for _layout in (a_scale_layout, b_scale_layout): - assert _layout in ("mfma_tile", "row"), f"scale layout {_layout}" - _row_a = a_scale_layout == "row" - _row_b = b_scale_layout == "row" small_m_bf16 = ( BM == 16 and blockscale != "none" @@ -286,20 +287,27 @@ def _launch_gemm_impl( # Only a "row" operand gets a panel (A first, then B). assert batch == 1, "row scale layout: batch 1" assert a_dtype == "fp8" and b_dtype == "fp8", "row scale layout: a8w8" - assert not (_row_a and _bs_a) and not ( - _row_b and _bs_b - ), "row scale layout reads 1x32 blocks only" SC_ROW_B = BK // 32 # bytes per scale row per K-tile SC_WPR = SC_ROW_B // 4 # one dword per 128-K MFMA step SC_C = ROW_SCALE_CHUNK # K-tiles per chunk CROW_B = SC_C * SC_ROW_B SC_RS_A, SC_PASS_A, SC_PANEL_A = ( - row_scale_panel(BM, BK, num_threads) if _row_a else (0, 0, 0) + row_scale_panel(BM, BK, num_threads) if _pa else (0, 0, 0) ) SC_RS_B, SC_PASS_B, SC_PANEL_B = ( - row_scale_panel(BN, BK, num_threads) if _row_b else (0, 0, 0) + row_scale_panel(BN, BK, num_threads) if _pb else (0, 0, 0) ) SC_LDS_B = SC_PANEL_A + SC_PANEL_B + # A 1x128 column panel: the K-tile's k_halves columns of BM rows, filled + # a byte per lane (one dword slot each) with the A tile, double-buffered + # with it. + # Slots are word-major: the E bytes of one pair word (rows r and r + 16 + # for one or two MFMA steps) sit in E consecutive dword slots, so a lane + # reads its word with one ds_read and packs it with v_perm. + SC_COL_E = 2 * min(2, k_halves) + SC_COL_SLOTS = m_pairs * SC_NW * 16 * SC_COL_E + SC_COL_PASS = -(-SC_COL_SLOTS // num_threads) if _rc_a else 0 + SC_COL_B = SC_COL_PASS * num_threads * 4 # a byte per dword slot # Scheduler counts per loop iter: MFMAs, A LDS reads/thread (fp6/fp8 2 per (mi,kh)), gmem loads. sched_mfma_total = k_halves * m_chunks * num_acc_n @@ -311,21 +319,51 @@ def _launch_gemm_impl( sched_num_gmem = n_coop + num_acc_n * k_halves * B_BLK_PER_MMA + m_pairs + n_pairs if const_expr(_row_any): # A row operand's scale rows come from LDS (one read per 16-row tile); its - # DMA replaces that operand's per-pair global scale loads. - sched_num_sc_ds = (m_chunks if _row_a else 0) + (num_acc_n if _row_b else 0) + # DMA replaces that operand's per-pair global scale loads. A 1x128 column + # panel reads a word per pair; a 128x128 B loads one K tile's bytes. + sched_num_sc_ds = ( + (m_chunks if _pa else 0) + + (num_acc_n if _pb else 0) + + (m_pairs * SC_NW if _rc_a else 0) + ) # Also counted in the A-read group: the slack keeps every A ds_read ahead # of the MFMAs (an exact count measured up to 1.4x slower on some tiles). sched_num_ds_load += sched_num_sc_ds - sched_num_gmem += (SC_PASS_A - m_pairs if _row_a else 0) + ( - SC_PASS_B - n_pairs if _row_b else 0 + sched_num_gmem += ( + (SC_PASS_A - m_pairs if _pa else 0) + + (SC_PASS_B - n_pairs if _pb else 0) + + (SC_COL_PASS - m_pairs if _rc_a else 0) + + (1 - n_pairs if _rc_b else 0) ) + if const_expr(_panel_any and _rc_a): + @fx.struct class SharedA: a0: fx.Array[Int8, A_LDS_B, 16] a1: fx.Array[Int8, A_LDS_B, 16] s0: fx.Array[Int8, SC_LDS_B, 16] s1: fx.Array[Int8, SC_LDS_B, 16] + c0: fx.Array[Int8, SC_COL_B, 16] + c1: fx.Array[Int8, SC_COL_B, 16] + + elif const_expr(_panel_any): + + @fx.struct + class SharedA: + a0: fx.Array[Int8, A_LDS_B, 16] + a1: fx.Array[Int8, A_LDS_B, 16] + s0: fx.Array[Int8, SC_LDS_B, 16] + s1: fx.Array[Int8, SC_LDS_B, 16] + + elif const_expr(_rc_a): + + @fx.struct + class SharedA: + a0: fx.Array[Int8, A_LDS_B, 16] + a1: fx.Array[Int8, A_LDS_B, 16] + c0: fx.Array[Int8, SC_COL_B, 16] + c1: fx.Array[Int8, SC_COL_B, 16] else: @@ -355,6 +393,12 @@ class SharedA: _kname += "_multirow" if _row_any: _kname += f"_sl{'r' if _row_a else 'm'}{'r' if _row_b else 'm'}" + if _rc_a: + _kname += "_xb1x128" + if _rc_b: + _kname += "_wb128x128" + if _b32: + _kname += "_wb32x32" def _kernel_body( arg_c: fx.Int64, @@ -662,113 +706,266 @@ def _sc_src(addr, nrec): ) return fx.logical_divide(buf, fx.make_layout(1, 1)) - # Bounded to the tensors: rows past M read 0 (and are never stored). - sc_panels = [] # (source, first row, rows per slice, passes, panel byte) - if const_expr(_row_a): - sa_row = _sc_src(arg_scale_a, fx.Int64(i32_m) * fx.Int64(sc_row_g)) - sc_panels.append((sa_row, bx_m, SC_RS_A, SC_PASS_A, 0)) - if const_expr(_row_b): - sb_row = _sc_src(arg_scale_b, fx.Int64(N * sc_row_g)) - sc_panels.append((sb_row, by_n, SC_RS_B, SC_PASS_B, SC_PANEL_A)) - sc_dma = fx.make_copy_atom(fx.rocdl.BufferCopyLDS32b(), 32) - sc_row_copy = fx.make_copy_atom( - { - 1: fx.UniversalCopy32b, - 2: fx.UniversalCopy64b, - 4: fx.UniversalCopy128b, - }[SC_WPR](), - Int32, - ) - sS0_i8 = fx.recast_iter(_i8s, lds.s0.ptr) - sS0_i32 = fx.recast_iter(Int32, lds.s0.ptr) - sc_db = fx.Int32(fx.ptrtoint(lds.s1.ptr)) - fx.Int32( - fx.ptrtoint(lds.s0.ptr) - ) - sc_db_dw = sc_db // 4 - b_wave_n = wave * (BN // num_waves) - # v_perm pool = {hi:lo}; selector byte b+4 picks hi.byte(b), b picks - # lo.byte(b), 0x0C gives 0. Lane l reads 32-K group b = l // 16. - sc_sel = fx.Int32(0x0C0C0000) + lane_div_16 * 256 + lane_div_16 + 4 - - def dma_scale_slice(kt_c, j, buf): - """Slice j of the chunk starting at K-tile kt_c into buffer buf.""" - for src, row0, rs, passes, off in sc_panels: - for i in range_constexpr(passes): - # Lane l of a wave lands at the wave-uniform base + l * 4. - q = i * num_threads + tid - row = j * rs + q // (CROW_B // 4) - gbyte = ( - (row0 + row) * sc_row_g - + kt_c * SC_ROW_B - + (q % (CROW_B // 4)) * 4 + if const_expr(_panel_any): + # Bounded to the tensors: rows past M read 0 (and are never stored). + # (source, first row, rows per slice, passes, panel byte, rows per scale row) + sc_panels = [] + if const_expr(_pa): + sa_row = _sc_src(arg_scale_a, fx.Int64(i32_m) * fx.Int64(sc_row_g)) + sc_panels.append((sa_row, bx_m, SC_RS_A, SC_PASS_A, 0, 1)) + if const_expr(_pb): + b_rows_per = 32 if _b32 else 1 + sb_row = _sc_src(arg_scale_b, fx.Int64(N // b_rows_per * sc_row_g)) + sc_panels.append( + (sb_row, by_n, SC_RS_B, SC_PASS_B, SC_PANEL_A, b_rows_per) + ) + sc_dma = fx.make_copy_atom(fx.rocdl.BufferCopyLDS32b(), 32) + sc_row_copy = fx.make_copy_atom( + { + 1: fx.UniversalCopy32b, + 2: fx.UniversalCopy64b, + 4: fx.UniversalCopy128b, + }[SC_WPR](), + Int32, + ) + sS0_i8 = fx.recast_iter(_i8s, lds.s0.ptr) + sS0_i32 = fx.recast_iter(Int32, lds.s0.ptr) + sc_db = fx.Int32(fx.ptrtoint(lds.s1.ptr)) - fx.Int32( + fx.ptrtoint(lds.s0.ptr) + ) + sc_db_dw = sc_db // 4 + b_wave_n = wave * (BN // num_waves) + # v_perm pool = {hi:lo}; selector byte b+4 picks hi.byte(b), b picks + # lo.byte(b), 0x0C gives 0. Lane l reads 32-K group b = l // 16. + sc_sel = fx.Int32(0x0C0C0000) + lane_div_16 * 256 + lane_div_16 + 4 + + def dma_scale_slice(kt_c, j, buf): + """Slice j of the chunk starting at K-tile kt_c into buffer buf.""" + for src, row0, rs, passes, off, rows_per in sc_panels: + for i in range_constexpr(passes): + # Lane l of a wave lands at the wave-uniform base + l * 4. + q = i * num_threads + tid + row = j * rs + q // (CROW_B // 4) + g_row = row0 + row + if const_expr(rows_per > 1): + # 32x32: the 32 N-rows of a block share one scale row. + g_row = g_row // rows_per + gbyte = ( + g_row * sc_row_g + + kt_c * SC_ROW_B + + (q % (CROW_B // 4)) * 4 + ) + lds_off = rocdl.readfirstlane( + T.i32, + buf * sc_db + + off + + j * (rs * CROW_B) + + i * num_threads * 4 + + wave * 256, + ) + dst = fx.make_view( + fx.add_offset(sS0_i8, lds_off), fx.make_layout(1, 1) + ) + fx.copy(sc_dma, fx.slice(src, (None, gbyte)), dst) + + def _sc_row(buf, j, lrow, crow, base): + # Panel row lrow + crow, K-tile j of the chunk: SC_WPR dwords, one per + # kh. lrow is the per-lane part; the compile-time crow and base stay + # out of it so they fold into the ds_read immediate offset. + t = fx.make_rmem_tensor(SC_WPR, Int32) + off = ( + buf * sc_db_dw + + lrow * (CROW_B // 4) + + j * SC_WPR + + (crow * CROW_B + base) // 4 + ) + fx.copy( + sc_row_copy, + fx.make_view( + fx.add_offset(sS0_i32, off), fx.make_layout(SC_WPR, 1) + ), + t, + ) + return Vec(fx.memref_load_vec(t)) + + def _sc_pack(r0, r1, w_): + # The shuffled-layout word: byte (kh%2)*2 + i = row (r + 16*i)'s scale + # for MFMA step kh = 2*w_ + kh%2, so the opsel atoms and one VGPR per + # row pair (per 256 K) are kept. + kh0 = 2 * w_ + w = fx.Int32(rocdl.perm_b32(r0[kh0], r1[kh0], sc_sel)) + if const_expr(k_halves > 1): + w = w | ( + fx.Int32(rocdl.perm_b32(r0[kh0 + 1], r1[kh0 + 1], sc_sel)) + << 16 ) - lds_off = rocdl.readfirstlane( - T.i32, - buf * sc_db - + off - + j * (rs * CROW_B) - + i * num_threads * 4 - + wave * 256, + return w + + def _sc_pairs(buf, j, lrow, n_tiles, base): + # SC_NW words per pair, pair-major (compute's sa_v[mp * SC_NW + w]). + words = [] + for p_ in range_constexpr(max(1, n_tiles // 2)): + r0 = _sc_row(buf, j, lrow, p_ * 32, base) + r1 = r0 + if const_expr(2 * p_ + 1 < n_tiles): + r1 = _sc_row(buf, j, lrow, p_ * 32 + 16, base) + for w_ in range_constexpr(SC_NW): + words.append(_sc_pack(r0, r1, w_)) + return words + + def load_sc_row(buf, j): + # (sa, sb) of the row operands from LDS; None for a mfma_tile one. + sa = sb = None + if const_expr(_pa): + sa = _sc_pairs(buf, j, lane_mod_16, m_chunks, 0) + if const_expr(_pb): + sb = _sc_pairs( + buf, j, b_wave_n + lane_mod_16, num_acc_n, SC_PANEL_A + ) + return sa, sb + + k128 = K // 128 # coarse scale bytes per K row + + if const_expr(_rc_a): + # 1x128 x_scale, column-major [K//128, M]: K-tile kt's column c holds + # rows bx_m.. at (kt * k_halves + c) * M + bx_m. Its LDS panel holds + # that tile's scales a byte per lane in a dword slot of its own (as + # bmm's byte-copied panels): the column offsets c * M are not dword + # aligned, and a dword copy ending past the tensor would read zero + # whole, valid bytes too. A byte copy is free to gather, so the slots + # are word-major: slot ((p * SC_NW + w) * 16 + l) * E + j holds row + # 32p + l (+16 for odd j) of MFMA step 2w + j // 2 -- the E bytes a + # lane packs into pair p's word w, read with one ds_read. Spare lanes + # clamp to the last pair and land in the panel tail. + sa_rsrc = create_buffer_resource_from_addr( + fx.Int64(arg_scale_a), + num_records_bytes=fx.Int64(i32_m) * fx.Int64(k128), + ) + sC0_i8 = fx.recast_iter(_i8s, lds.c0.ptr) + sC0_i32 = fx.recast_iter(Int32, lds.c0.ptr) + sc_cdb = fx.Int32(fx.ptrtoint(lds.c1.ptr)) - fx.Int32( + fx.ptrtoint(lds.c0.ptr) + ) + sc_cdb_dw = sc_cdb // 4 + E = SC_COL_E + + def _col_voffset(q): + # Byte offset of slot q's scale from the K-tile's first column. + j = q % E + pw = q // (16 * E) + if const_expr(SC_COL_PASS * num_threads > SC_COL_SLOTS): + pw = (pw < m_pairs * SC_NW).select( + pw, fx.Int32(m_pairs * SC_NW - 1) + ) + row = (pw // SC_NW) * 32 + (q // E) % 16 + if const_expr(m_chunks > 1): + row = row + (j % 2) * 16 + kh = (pw % SC_NW) * 2 + if const_expr(k_halves > 1): + kh = kh + j // 2 + return kh * i32_m + bx_m + row + + # Lane parts once; a K tile only adds the uniform soffset. + col_voff = [ + _col_voffset(i * num_threads + tid).ir_value() + for i in range_constexpr(SC_COL_PASS) + ] + + def dma_sa_col(kt, buf): + soff = (kt * k_halves * i32_m).ir_value() + for i in range_constexpr(SC_COL_PASS): + lds_ptr = fx.to_llvm_ptr( + fx.add_offset( + sC0_i8, + rocdl.readfirstlane( + T.i32, + buf * sc_cdb + (i * num_threads + wave * 64) * 4, + ), + ) ) - dst = fx.make_view( - fx.add_offset(sS0_i8, lds_off), fx.make_layout(1, 1) + rocdl.buffer_load_to_lds( + sa_rsrc, lds_ptr, col_voff[i], size_bytes=1, soffset=soff ) - fx.copy(sc_dma, fx.slice(src, (None, gbyte)), dst) - - def _sc_row(buf, j, lrow, crow, base): - # Panel row lrow + crow, K-tile j of the chunk: SC_WPR dwords, one per - # kh. lrow is the per-lane part; the compile-time crow and base stay - # out of it so they fold into the ds_read immediate offset. - t = fx.make_rmem_tensor(SC_WPR, Int32) - off = ( - buf * sc_db_dw - + lrow * (CROW_B // 4) - + j * SC_WPR - + (crow * CROW_B + base) // 4 + + col_copy = fx.make_copy_atom( + fx.UniversalCopy128b() if E == 4 else fx.UniversalCopy64b(), Int32 ) - fx.copy( - sc_row_copy, - fx.make_view( - fx.add_offset(sS0_i32, off), fx.make_layout(SC_WPR, 1) - ), - t, + # v_perm(hi, lo, sel): sel byte 4 picks hi.byte0, 0 lo.byte0, 0x0C zero. + _SEL_LO = 0x0C0C0004 # bytes 0, 1 <- slots 0, 1 + _SEL_HI = 0x00040C0C # bytes 2, 3 <- slots 2, 3 + + def load_sa_col(buf): + # Issue the reads only: pack_sa_col runs once A and B are + # issued too, so the reads' latency hides behind them instead + # of a wait per word. + raw = [] + for pw in range_constexpr(m_pairs * SC_NW): + t = fx.make_rmem_tensor(E, Int32) + off = buf * sc_cdb_dw + lane_mod_16 * E + pw * 16 * E + fx.copy( + col_copy, + fx.make_view( + fx.add_offset(sC0_i32, off), fx.make_layout(E, 1) + ), + t, + ) + raw.append(t) + return raw + + def pack_sa_col(raw): + # Pair-major words as the row panel's: byte (kh%2)*2 + i = row + # (r + 16*i)'s scale for MFMA step kh; the four 32-K groups of a + # step share it, so no lane picks a byte. + words = [] + for t in raw: + d = Vec(fx.memref_load_vec(t)) + w = fx.Int32(rocdl.perm_b32(d[0], d[1], _SEL_LO)) + if const_expr(E == 4): + w = w | fx.Int32(rocdl.perm_b32(d[2], d[3], _SEL_HI)) + words.append(w) + return words + + if const_expr(_rc_b): + # 128x128 w_scale [N//128, K//128]: a wave's N span lies in one 128-N + # block, so its K-tile scales are k_halves wave-uniform bytes, one + # load of exactly that many (unaligned is fine; it never runs past + # the tensor, so the buffer bounds stay exact). + sb_raw = _sc_src(arg_scale_b, fx.Int64((N // 128) * k128)) + b_blk = (by_n + wave * (BN // num_waves)) // 128 + sb_copy = fx.make_copy_atom( + { + 1: fx.rocdl.BufferCopy8b, + 2: fx.rocdl.BufferCopy16b, + 4: fx.rocdl.BufferCopy32b, + }[k_halves](), + 8 * k_halves, ) - return Vec(fx.memref_load_vec(t)) - - def _sc_pack(r0, r1, w_): - # The shuffled-layout word: byte (kh%2)*2 + i = row (r + 16*i)'s scale - # for MFMA step kh = 2*w_ + kh%2, so the opsel atoms and one VGPR per - # row pair (per 256 K) are kept. - kh0 = 2 * w_ - w = fx.Int32(rocdl.perm_b32(r0[kh0], r1[kh0], sc_sel)) - if const_expr(k_halves > 1): - w = w | ( - fx.Int32(rocdl.perm_b32(r0[kh0 + 1], r1[kh0 + 1], sc_sel)) << 16 + + def load_sb_raw(kt): + frag = fx.make_rmem_tensor(k_halves, Int8) + fx.copy( + sb_copy, + fx.slice(sb_raw, (None, b_blk * k128 + kt * k_halves)), + frag, ) - return w - - def _sc_pairs(buf, j, lrow, n_tiles, base): - # SC_NW words per pair, pair-major (compute's sa_v[mp * SC_NW + w]). - words = [] - for p_ in range_constexpr(max(1, n_tiles // 2)): - r0 = _sc_row(buf, j, lrow, p_ * 32, base) - r1 = r0 - if const_expr(2 * p_ + 1 < n_tiles): - r1 = _sc_row(buf, j, lrow, p_ * 32 + 16, base) + if const_expr(k_halves == 4): + v = Vec(frag.load()).bitcast(Int32)[0] + elif const_expr(k_halves == 2): + v = fx.Int16(Vec(frag.load()).bitcast(Int16)[0]).to(Int32) + else: + v = fx.Uint8(Vec(frag.load())[0]).to(Int32) + words = [] for w_ in range_constexpr(SC_NW): - words.append(_sc_pack(r0, r1, w_)) - return words - - def load_sc_row(buf, j): - # (sa, sb) of the row operands from LDS; None for a mfma_tile one. - sa = sb = None - if const_expr(_row_a): - sa = _sc_pairs(buf, j, lane_mod_16, m_chunks, 0) - if const_expr(_row_b): - sb = _sc_pairs( - buf, j, b_wave_n + lane_mod_16, num_acc_n, SC_PANEL_A - ) - return sa, sb + # Bytes (kh0, kh0, kh0 + 1, kh0 + 1): one N-tile pair shares + # the block's scale. + kh0 = 2 * w_ + sel = kh0 | kh0 << 8 + if const_expr(k_halves > 1): + sel = sel | (kh0 + 1) << 16 | (kh0 + 1) << 24 + else: + sel = sel | 0x0C0C0000 + words.append(fx.Int32(rocdl.perm_b32(v, v, sel))) + return [w for _ in range_constexpr(n_pairs) for w in words] def load_b(kt): # buffer_load_dwordx4 into i32[4] frags; fp8 B packs two K0 blocks (lo/hi, 64 K @@ -927,9 +1124,11 @@ def hot_loop_scheduler(): # range; the loop trips k_tiles_local times and the ping-pong parity tracks the local # iteration (iv), not the absolute tile. dma_a_to_lds(kt0, fx.Int32(0)) - if const_expr(_row_any): + if const_expr(_panel_any): for j in range_constexpr(SC_C): dma_scale_slice(kt0, fx.Int32(j), fx.Int32(0)) + if const_expr(_rc_a): + dma_sa_col(kt0, fx.Int32(0)) rocdl.s_waitcnt(0) gpu.barrier() for iv, state in range( @@ -947,7 +1146,7 @@ def hot_loop_scheduler(): scale_shift = None if const_expr(tiles_per_chunk > 1 and not (_row_a and _row_b)): scale_shift = (kt % tiles_per_chunk) * 16 - if const_expr(_row_any): + if const_expr(_panel_any): # Next chunk's slice first (its scattered rows are the slowest load # the end-of-iteration drain waits for), then this tile's scale reads # ahead of A's: LDS returns in order. @@ -955,8 +1154,14 @@ def hot_loop_scheduler(): c_j = ivi % SC_C dma_scale_slice(kt0 + (c_idx + 1) * SC_C, c_j, (c_idx + 1) % 2) sa_r, sb_r = load_sc_row(c_idx % 2, c_j) + if const_expr(_rc_a): + sa_col_raw = load_sa_col(cur) + if const_expr(_rc_b): + sb_r = load_sb_raw(kt) av = read_a(cur) bv = load_b(kt) + if const_expr(_rc_a): + sa_r = pack_sa_col(sa_col_raw) if const_expr(_row_a and _row_b): sa_v, sb_v = sa_r, sb_r elif const_expr(_row_any): @@ -966,6 +1171,8 @@ def hot_loop_scheduler(): else: sa_v, sb_v = load_sc(chunk_kt) dma_a_to_lds(pf_kt, nxt) # A DMA after B/scale loads -> overlaps the MFMAs + if const_expr(_rc_a): + dma_sa_col(pf_kt, nxt) accs = compute(accs, av, bv, sa_v, sb_v, scale_shift) hot_loop_scheduler() rocdl.s_waitcnt(0) # drain the A DMA before the barrier diff --git a/aiter/ops/flydsl/kernels/mxfp8_gemm_8wave.py b/aiter/ops/flydsl/kernels/mxfp8_gemm_8wave.py index e57733a9d6f..ad40c956f52 100644 --- a/aiter/ops/flydsl/kernels/mxfp8_gemm_8wave.py +++ b/aiter/ops/flydsl/kernels/mxfp8_gemm_8wave.py @@ -92,7 +92,17 @@ def read(self, row_base16, k): class ScaleRawLds: - """Row-major ``[rows, K // 32]`` E8M0 (no host shuffle), staged through LDS.""" + """Unshuffled E8M0 scales (no host shuffle), staged through LDS a chunk of + ``CHUNK`` K-steps at a time. + + Per operand: a 1x32 scale is row-major ``[rows, K // 32]`` (16 bytes of a row + per chunk; a 32x32 B ``[N // 32, K // 32]`` repeats a row over its 32 N-rows); + a 1x128 A is the blockscale column-major ``[K // 128, M]`` (a chunk is CHUNK + columns of the block's 256 rows); a 128x128 B is ``[N // 128, K // 128]``, one + row per 128-row LDS half (a chunk is a dword of each). The 1x128 A goes a + byte per lane into dword slots. Every operand issues two copies per chunk, + so the pipeline's vmcnt waits stay as validated. + """ CHUNK = 4 BYTES = 2 * 256 * 16 @@ -109,32 +119,84 @@ def __init__( b_row, lds, fp8_ir_t, + b_rows_per=1, + a_col_major=False, + b_block128=False, + c_m=None, ): - """``a_row`` / ``b_row``: block-local first row of this wave's tiles; ``lds``: two chunk slots.""" + """``a_row`` / ``b_row``: block-local first row of this wave's tiles; ``lds``: two chunk slots. + + ``b_rows_per`` N-rows share one B scale row: 1 for ``[N, K // 32]``, 32 + for a 32x32 ``[N // 32, K // 32]`` -- the staged chunk is the 1x32 one. + ``a_col_major`` / ``b_block128`` select the 1x128 / 128x128 forms (``c_m`` + is M, the column stride of the former). + """ self.row_bytes = K // 32 + self.k128 = K // 128 + self.a_col = a_col_major + self.b_blk = b_block128 + self.c_m = c_m lane = fx.thread_idx.x % 64 self.wave_id = wave_id self.lds = lds self.atom = fx.make_copy_atom(fx.rocdl.BufferCopyLDS32b(), 32) self.LdsPtr_t = fx.PointerType.get(fp8_ir_t, 2, 512) self.srcs = [] - for arg, block in ((A_scale, block_m), (B_scale, block_n)): - src = fx.logical_divide( - make_fp8_buffer_tensor(arg, fp8_ir_t), fx.make_layout(1, 1) - ) + for op, (arg, block, rows_per) in enumerate( + ((A_scale, block_m, 1), (B_scale, block_n, b_rows_per)) + ): + if const_expr(op == 0 and a_col_major): + # Copied a byte per lane into a dword slot of its own (as bmm's + # byte-copied panels): the column offsets c * M are not dword + # aligned, and a dword copy ending past the tensor would read + # zero whole, valid bytes too. The buffer bounds are exact. + src = fx.rocdl.get_buffer_rsrc( + fx.get_iter(fx.rocdl.make_buffer_tensor(arg, max_size=False)) + ) + else: + src = fx.logical_divide( + make_fp8_buffer_tensor(arg, fp8_ir_t), fx.make_layout(1, 1) + ) offs = [] for step in range_constexpr(2): - word = step * 512 + wave_id * 64 + lane # 4 words per row - offs.append((block * 256 + word // 4) * self.row_bytes + (word % 4) * 4) + word = step * 512 + wave_id * 64 + lane + if const_expr(op == 0 and a_col_major): + # A chunk is CHUNK columns of the block's 256 rows: 1024 bytes, + # two copies of 512 lanes, slot w = (column, row). + offs.append(word // 256 * c_m + block * 256 + word % 256) + elif const_expr(op == 1 and b_block128): + # Slot w holds half w % 2's row; only slots 0 and 1 are read. + offs.append((block * 2 + word % 2) * self.k128) + else: + row = block * 256 + word // 4 # 4 words per row + if const_expr(rows_per > 1): + row = row // rows_per + offs.append(row * self.row_bytes + (word % 4) * 4) self.srcs.append((src, offs)) # One per-lane base per operand; every read adds only a constant, which # folds into the ds_read offset as long as the buffer sits below 64 KB. lane_off = (lane % 16) * 16 + lane // 16 self.bases = [ - fx.add_offset(lds.ptr, fx.make_int_tuple(op * 4096 + row * 16 + lane_off)) - for op, row in ((0, a_row), (1, b_row)) + fx.add_offset( + lds.ptr, + fx.make_int_tuple( + (a_row + lane % 16) * 4 if a_col_major else a_row * 16 + lane_off + ), + ), + fx.add_offset( + lds.ptr, + fx.make_int_tuple(4096 if b_block128 else 4096 + b_row * 16 + lane_off), + ), ] + def _soffset(self, op, chunk): + if const_expr(op == 0 and self.a_col): + return fx.Int32(chunk * self.CHUNK) * self.c_m + if const_expr(op == 1 and self.b_blk): + # The dword never runs past the row's end (K // 128 >= 4). + return fx.Int32(min(chunk * self.CHUNK, self.k128 - 4)) + return fx.Int32(chunk * 16) + def dma(self, chunk): """Stage chunk ``chunk``; the last chunk may run past K (those bytes are never read).""" base_i32 = fx.Int32(fx.ptrtoint(self.lds.ptr)) @@ -147,33 +209,53 @@ def dma(self, chunk): + step * 2048 + self.wave_id * 256 ) - dst = fx.make_view( - fx.inttoptr(self.LdsPtr_t, base_i32 + fx.Int32(dst_off)), - fx.make_layout(1, 1), - ) + lds_dst = fx.inttoptr(self.LdsPtr_t, base_i32 + fx.Int32(dst_off)) + if const_expr(op == 0 and self.a_col): + rocdl.buffer_load_to_lds( + src, + fx.to_llvm_ptr(lds_dst), + fx.Int32(offs[step]).ir_value(), + size_bytes=1, + soffset=self._soffset(op, chunk).ir_value(), + ) + continue + dst = fx.make_view(lds_dst, fx.make_layout(1, 1)) fx.copy( self.atom, fx.slice(src, (None, fx.Int32(offs[step]))), dst, - soffset=fx.Int32(chunk * 16), + soffset=self._soffset(op, chunk), ) + def _byte(self, op, off): + v = fx.make_view( + fx.recast_iter( + fx.Uint8, fx.add_offset(self.bases[op], fx.make_int_tuple(off)) + ), + fx.make_layout(1, 1), + ) + return fx.Int32(v.load()[0]) + def read(self, op, half_row, n_tiles, k): """MFMA scale operands of ``n_tiles`` tiles, ``half_row`` rows past this wave's first row.""" + slot = k // self.CHUNK % 2 * self.BYTES + if const_expr(op == 1 and self.b_blk): + # One block per 128-row half: every tile and lane shares its byte. + chunk = k // self.CHUNK + start = min(chunk * self.CHUNK, self.k128 - 4) + v = self._byte(op, slot + half_row // 128 * 4 + (k - start)) + return [v] * n_tiles words = [] for t in range_constexpr(n_tiles): - off = ( - k // self.CHUNK % 2 * self.BYTES - + (half_row + t * 16) * 16 - + (k % self.CHUNK) * 4 - ) - v = fx.make_view( - fx.recast_iter( - fx.Uint8, fx.add_offset(self.bases[op], fx.make_int_tuple(off)) - ), - fx.make_layout(1, 1), - ) - words.append(fx.Int32(v.load()[0])) + if const_expr(op == 0 and self.a_col): + words.append( + self._byte( + op, slot + ((k % self.CHUNK) * 256 + half_row + t * 16) * 4 + ) + ) + else: + off = slot + (half_row + t * 16) * 16 + (k % self.CHUNK) * 4 + words.append(self._byte(op, off)) return words @@ -285,12 +367,30 @@ def compile_mxfp8_gemm_8w( scale_preshuffled: bool = False, waves_per_eu: int = 2, xcd_swizzle: int = 0, + b_scale_block: str = "1x32", + a_scale_block: str = "1x32", ): """Build the MXFP8 launcher. ``scale_preshuffled=True`` takes ``shuffle_scale_w4``-permuted A/B scales; ``False`` takes them row-major ``[rows, K // 32]`` as the quantizer emits them. + ``b_scale_block="32x32"`` (row-major only) takes B's as ``[N // 32, K // 32]``, + ``"128x128"`` as ``[N // 128, K // 128]``; ``a_scale_block="1x128"`` takes A's + as the blockscale column-major ``[K // 128, M]`` (both unshuffled only). """ + assert b_scale_block in ( + "1x32", + "32x32", + "128x128", + ), f"b_scale_block {b_scale_block}" + assert a_scale_block in ("1x32", "1x128"), f"a_scale_block {a_scale_block}" + assert not scale_preshuffled or (a_scale_block, b_scale_block) == ( + "1x32", + "1x32", + ), "a 32x32 / 1x128 / 128x128 scale is unshuffled only" + assert ( + b_scale_block != "128x128" or K >= 512 + ), "a 128x128 B scale needs K >= 512 (a dword of K // 128 per chunk)" # A 256x256 tile already spends 128 KB of the 160 KB LDS; every other # BLOCK_M/BLOCK_N either overflows it or breaks the 2-threads-per-scale-row # staging split. Kept as an assert rather than dead generality. @@ -331,6 +431,10 @@ def compile_mxfp8_gemm_8w( _layout_tag = "bpreshuffle" if b_preshuffled else "rowmajor" _scale_tag = "" if scale_preshuffled else "_row" + if a_scale_block == "1x128": + _scale_tag += "_xb1x128" + if b_scale_block != "1x32": + _scale_tag += f"_wb{b_scale_block}" _kname = ( f"flydsl_{_layout_tag}_mxfp8_8w_{BLOCK_M}x{BLOCK_N}x{BLOCK_K}_F8_F8_B16_" f"{waves_per_eu}x{xcd_swizzle}{_scale_tag}_k{K}" @@ -425,6 +529,10 @@ def kernel_gemm( wave_n * B_GRP_ROWS, lds.S_lds, F8_IR_t, + b_rows_per=32 if b_scale_block == "32x32" else 1, + a_col_major=a_scale_block == "1x128", + b_block128=b_scale_block == "128x128", + c_m=c_m, ) n_chunks = (K_ITERS + ScaleRawLds.CHUNK - 1) // ScaleRawLds.CHUNK # 16-row tile index of each wave's first row, per LDS half. diff --git a/aiter/ops/flydsl/mxscale_preshuffle_kernels.py b/aiter/ops/flydsl/mxscale_preshuffle_kernels.py index 907487e625e..57950447b0b 100644 --- a/aiter/ops/flydsl/mxscale_preshuffle_kernels.py +++ b/aiter/ops/flydsl/mxscale_preshuffle_kernels.py @@ -3,25 +3,21 @@ """Host dispatcher for the FlyDSL MXFP4/MXFP6/MXFP8 preshuffle GEMM (gfx950 MFMA). -Operand convention (all preshuffling is caller-side, as for the weight itself): +Operand convention (the weight is preshuffled caller-side): A : [M, K] row-major, NOT preshuffled (fp8/fp6 = 1 byte/code, fp4 = 2 codes/byte) B : preshuffled via aiter.ops.shuffle.shuffle_weight(., (16, 16)) (fp4 or fp8 weight) - a_scale : blockscale -> aiter.ops.shuffle.shuffle_scale_blockscale_a(a_1x128, K) - MX -> per-1x32 E8M0, shuffle_scale_a16w4'd - b_scale : blockscale -> aiter.ops.shuffle.shuffle_scale_blockscale_b(b_128x128, N, K) - MX -> per-1x32 E8M0, shuffle_scale_a16w4'd + a_scale / b_scale : E8M0, each a block and a layout (flydsl_mxscale_preshuffle_gemm). + "row" -- raw, as quantized, staged by the kernel itself (a8w8): x_scale + 1x32 [M, K//32] or the blockscale 1x128 column-major bytes of [K//128, M]; + w_scale 1x32 [N, K//32], 32x32 [N//32, K//32] or 128x128 [N//128, K//128]. + "mfma_tile" -- pre-shuffled into the MFMA operand order by the caller + (per-1x32 shuffle_scale_a16w4'd; the coarse 1x128 / 128x128 blocks in the + compact broadcast layout the kernel reads). No aiter op takes these any more. Out : [M, N] bf16 / fp16 -``shuffle_scale_blockscale_a`` takes the LOGICAL ``(M, K//128)`` scale, not the -transposed-byte ``x_scale_t`` spelling the ck/asm blockscale kernels read. The two -are indistinguishable by shape/stride/dtype, so handing it the latter silently -computes garbage. - -``run_gemm_a8w8_mxscale_preshuffle_gfx950`` is the entry point that -``gemm_a8w8_blockscale_bpreshuffle`` and the tuner share. It VALIDATES the scale -buffers rather than shuffling them: b_scale is a weight, shuffled once at -weight-prep time, and a_scale is an activation, shuffled per call next to -quantization -- so neither belongs on the GEMM's critical path. +``run_gemm_a8w8_mxfp8_gfx950`` is the entry point that gemm_a8w8_mxfp8_bpreshuffle, +gemm_a8w8_blockscale_bpreshuffle's "mxfp8" rows and the tuner share: raw scales, +a tuned kernelName (mxpsh or 8-wave) or the heuristic. """ from __future__ import annotations @@ -30,9 +26,12 @@ import torch -# gemm_a8w8_mxfp8_bpreshuffle's gfx950 scales (row-major 1x32), defined next to -# its tune pipelines; re-exported for the runner, tuner and AOT. -from .gemm_tune.flydsl_gemm_mxscale_preshuffle_common import MXFP8_ROW_SCALES +# gemm_a8w8_mxfp8_bpreshuffle's gfx950 scales per w_scale block (row-major 1x32 +# x_scale; 1x32 or 32x32 w_scale), defined next to its tune pipelines; +# re-exported for the runner and AOT. +from .gemm_tune.flydsl_gemm_mxscale_preshuffle_common import ( + MXFP8_ROW_SCALES_BY_W_SCALE_BLOCK, +) _OUT_DTYPE_STR = {torch.bfloat16: "bf16", torch.float16: "fp16"} @@ -89,50 +88,38 @@ def flydsl_mxscale_preshuffle_gemm( waves_per_eu: int = 0, xcd_swizzle: int = 0, split_k: int = 1, - blockscale: bool = True, stream=None, - a_scale_block: str | None = None, - b_scale_block: str | None = None, - a_scale_layout: str = "mfma_tile", - b_scale_layout: str = "mfma_tile", + a_scale_block: str, + b_scale_block: str, + a_scale_layout: str, + b_scale_layout: str, fused_split_k: bool = False, ) -> torch.Tensor: """Run the gfx950 MXFP4/6/8 preshuffle GEMM. a8w8 = a_dtype="fp8", b_dtype="fp8". A is [M, K]; N is taken from Out ([M, N]); K from A. Returns Out. - split_k>1 splits the K reduction across grid.z. The tuned M<=16 blockscale - specialization writes BF16 partials to a small workspace, then the last - arriving block for each output tile reduces them in FP32 and writes Out. - Other shapes write fp32 partial slabs and launch a separate reduce kernel. - - blockscale selects the scale format and **defaults to True** -- the coarse - blockscale path is the one this op is tuned for. It is a8w8-only and needs - N%128==0; fp4/fp6 operands (a4w4 / a6w4) must pass blockscale=False. - - * blockscale=True: a_scale/b_scale are the *compact-shuffled* blockscale buffers - the caller built via aiter.ops.shuffle.shuffle_scale_blockscale_a/_b from the - coarse E8M0 (A 1x128 [rows, K//128], B 128x128 [N//128, K//128]). - * blockscale=False: a_scale/b_scale are per-1x32 E8M0 run through - `shuffle_scale_a16w4`. - - Per operand, a_/b_scale_block ("1x32" | "1x128" / "1x32" | "128x128") override - the blocks blockscale picks, and a_/b_scale_layout say how each scale is laid - out (see flydsl_gemm_mxscale_preshuffle_common.SCALE_LAYOUTS): - - * "mfma_tile" (default): pre-shuffled by the caller, as above. - * "row" (1x32 blocks, a8w8): the UNSHUFFLED row-major E8M0, A [M, K//32] with - no row padding / B [N, K//32]; the kernel stages it through LDS itself. - - fused_split_k (row layouts, bf16 Out, split_k>1) reduces the split partials - in-kernel, by each output tile's last-arriving block, instead of in a - separate reduce launch; same FP32 numbers, a tunable (kernelName ``_fsk``). - - The op does NOT repack a mfma_tile scale -- the caller pre-shuffles. For blockscale the - kernel broadcasts to the 1x32 scaled-MFMA via the scale load address. Prepare the - static B-scale at weight-prep time to keep it off the per-call path; the per-token - A-scale is a plain reshape+permute, so build it on device (a host round-trip - costs more than this GEMM). + split_k>1 splits the K reduction across grid.z: fp32 partial slabs and a + separate reduce kernel, or, with fused_split_k (row layouts, bf16 Out), an + in-kernel reduce by each output tile's last-arriving block -- the same FP32 + numbers, a tunable (kernelName ``_fsk``). A mfma_tile coarse-block M<=16 tile + reduces BF16 partials in-kernel instead. + + Each operand's scale is a block and a layout, always named by the caller (see + flydsl_gemm_mxscale_preshuffle_common.SCALE_LAYOUTS); a default would read one + contract's bytes as the other's: + + * a_scale_block "1x32" | "1x128", b_scale_block "1x32" | "128x128" | "32x32". + The coarse blocks are a8w8-only; a 128x128 b_scale needs N%128==0. + * "row" (a8w8): the UNSHUFFLED E8M0 as quantized, staged by the kernel + itself: a 1x32 A [M, K//32] (no row padding) / B [N, K//32]; a 32x32 B + [N//32, K//32]; a 1x128 A the blockscale column-major bytes [K//128, M] + (a contiguous (M, K//128) tensor holding them, as bmm's transposed + x_scale); a 128x128 B [N//128, K//128]. + * "mfma_tile": pre-shuffled into the MFMA operand order by the caller -- the + per-1x32 scales through ``shuffle_scale_a16w4``, the coarse 1x128 / 128x128 + blocks in the compact broadcast layout the kernel reads (no aiter helper + builds those; no aiter op passes them). The op does NOT repack them. """ from .gemm_tune.flydsl_gemm_mxscale_preshuffle_common import ( SCALE_BLOCKS_A, @@ -166,11 +153,6 @@ def flydsl_mxscale_preshuffle_gemm( f"unsupported Out dtype {Out.dtype}; expected bfloat16 or float16" ) - # blockscale picks the blocks unless an operand names its own. - if a_scale_block is None: - a_scale_block = "1x128" if blockscale else "1x32" - if b_scale_block is None: - b_scale_block = "128x128" if blockscale else "1x32" if a_scale_block not in SCALE_BLOCKS_A or b_scale_block not in SCALE_BLOCKS_B: raise ValueError( f"unsupported scale blocks a={a_scale_block!r} b={b_scale_block!r}; " @@ -179,9 +161,13 @@ def flydsl_mxscale_preshuffle_gemm( for layout in (a_scale_layout, b_scale_layout): if layout not in SCALE_LAYOUTS: raise ValueError(f"unsupported scale layout {layout!r}; {SCALE_LAYOUTS}") - coarse = (a_scale_block, b_scale_block) != ("1x32", "1x32") - # An unsupported shape is an error rather than a silent downgrade, so - # a4w4/a6w4 callers have to opt out of the blockscale default explicitly. + # The mfma_tile 1x128 / 128x128 blocks broadcast to the MFMA through the + # load address; a row (unshuffled) scale of any block is not coarse (nor + # does it take the kernel's fused small-M blockscale path). + coarse = (a_scale_block == "1x128" and a_scale_layout != "row") or ( + b_scale_block == "128x128" and b_scale_layout != "row" + ) + # An unsupported shape is an error rather than a silent downgrade. if coarse and (a_dtype != "fp8" or b_dtype != "fp8"): raise ValueError( f"a coarse scale block is a8w8-only; got a_dtype={a_dtype!r} " @@ -194,12 +180,23 @@ def flydsl_mxscale_preshuffle_gemm( ("b_scale", b_scale, b_scale_block, b_scale_layout, N), ): if layout != "row": + if block == "32x32": + raise ValueError(f"a 32x32 {name} is row layout only") continue - if block != "1x32" or (a_dtype, b_dtype) != ("fp8", "fp8"): - raise ValueError(f"a row {name} is the a8w8 1x32 path; got {block}") - if tuple(t.shape) != (rows, K // 32) or not t.is_contiguous(): + if (a_dtype, b_dtype) != ("fp8", "fp8"): + raise ValueError(f"a row {name} is a8w8 only") + # (rows per scale row, K per scale column) of each row block. + rows_per, k_per = {"1x32": (1, 32), "32x32": (32, 32)}.get(block, (128, 128)) + if block == "1x128": + rows_per = 1 # column-major bytes of a (rows, K // 128) tensor + if rows % rows_per != 0: + raise ValueError( + f"a {block} {name} needs {rows} rows a multiple of {rows_per}" + ) + want = (rows // rows_per, K // k_per) + if tuple(t.shape) != want or not t.is_contiguous(): raise ValueError( - f"row {name} must be a contiguous {(rows, K // 32)}, got " + f"row {name} must be a contiguous {want}, got " f"{tuple(t.shape)} stride {tuple(t.stride())}" ) split_k = int(split_k) @@ -378,19 +375,18 @@ def _warn_untuned(M, N, K, a_dtype, b_dtype, kernel_name): f"[flydsl mxpsh] no tuned row for M={M} N={N} K={K} {a_dtype}/{b_dtype}; " f"falling back to the heuristic tile '{kernel_name}'. It picks a grid that " f"fills the CUs, but nothing about this shape was measured -- tune it with " - f"csrc/ck_gemm_a8w8_blockscale/gemm_a8w8_blockscale_tune.py " - f"--preshuffle --libtype flydsl." + f"csrc/gemm_a8w8_mxfp8_bpreshuffle/gemm_a8w8_mxfp8_bpreshuffle_tune.py." ) @functools.lru_cache(maxsize=1024) -def _heuristic_tile(a_dtype, b_dtype, M, N, K, scales=()): +def _heuristic_tile(a_dtype, b_dtype, M, N, K, scales): from aiter.jit.utils.chip_info import get_cu_num from .gemm_tune.flydsl_gemm_mxscale_preshuffle_common import candidates_for # scales: candidates_for's scale kwargs as sorted (name, value) pairs, which - # keep the call hashable for the cache; () is the blockscale default. + # keep the call hashable for the cache. # tile_k=512 and _fsk are tuned-only options: the heuristic keeps its # untuned picks. cands = [ @@ -425,90 +421,40 @@ def _wg(ki): ) -def run_gemm_a8w8_mxscale_preshuffle_gfx950(XQ, WQ, x_scale, w_scale, Out, kernel_name): - """Dispatch the gfx950 mxpsh GEMM by tuned kernelName. +def run_gemm_a8w8_mxfp8_gfx950( + XQ, WQ, x_scale, w_scale, Out, kernel_name=None, w_scale_block=None +): + """gfx950 FP8 GEMM with unshuffled e8m0 scales, into ``Out``. - ``x_scale`` / ``w_scale`` must ALREADY be shuffled by - ``aiter.ops.shuffle.shuffle_scale_blockscale_a`` / ``_b`` -- caller-side prep, - exactly like ``shuffle_weight`` for B. B's scale is a weight, so it is shuffled - once at weight-prep time; A's is an activation, so it is shuffled per call - alongside quantization. Both are flat fp8_e8m0 buffers. + XQ [M, K] fp8 row-major; WQ [N, K] fp8, shuffle_weight(., (16, 16)). + x_scale [M, K // 32] and w_scale e8m0, row-major and NOT shuffled (no row + padding): the kernel stages them through LDS itself. w_scale is + [N, K // 32] for a 1x32 ``w_scale_block`` or [N // 32, K // 32] for 32x32 + (bmm's); None reads the block off its shape. ``kernel_name`` is a tuned + row's mxpsh or 8-wave kernelName, else the heuristic picks an mxpsh tile. """ + from ..gemm_op_common import mxscale_w_scale_block + from .gemm_a8w8_mxfp8_8wave import NAME_PREFIX as MXFP8_8WAVE_PREFIX from .gemm_tune.flydsl_gemm_mxscale_preshuffle_common import parse_kernel_name - p = parse_kernel_name(kernel_name) - if p is None: - raise ValueError( - f"[FlyDSL gfx950 mxpsh] unrecognized kernelName {kernel_name!r}" + if w_scale_block is None: + w_scale_block = mxscale_w_scale_block( + tuple(w_scale.shape), int(WQ.shape[0]), int(WQ.shape[-1]) ) - if (p["a_dtype"], p["b_dtype"]) != ("fp8", "fp8"): - raise ValueError( - f"[FlyDSL gfx950 mxpsh] {kernel_name!r} is not an a8w8 kernel; " - f"gemm_a8w8_blockscale_bpreshuffle only serves fp8/fp8" + scales = MXFP8_ROW_SCALES_BY_W_SCALE_BLOCK.get(w_scale_block) + if scales is None: + raise NotImplementedError( + f"[FlyDSL gfx950 mxfp8] no kernel reads a {w_scale_block} w_scale; " + f"supported: {sorted(MXFP8_ROW_SCALES_BY_W_SCALE_BLOCK)}" ) - # The launch pins a_row_stride / c_row_stride to -1, i.e. the kernel indexes - # A and Out as densely packed rows. A strided view would be read/written as - # if it were contiguous: wrong values, and for Out a write past its own rows. - for name, t in (("XQ", XQ), ("WQ", WQ), ("Out", Out)): - if not t.is_contiguous(): - raise RuntimeError( - f"[FlyDSL gfx950 mxpsh] {name} must be contiguous, got shape " - f"{tuple(t.shape)} stride {tuple(t.stride())}" - ) - - M, K = int(XQ.shape[0]), int(XQ.shape[-1]) - N = int(Out.shape[-1]) - k_chunks = (K + 255) // 256 - want_a = (M + 31) // 32 * 32 * 2 * k_chunks - want_b = (N // 128) * 4 * k_chunks - for name, s, want, helper in ( - ("x_scale", x_scale, want_a, "shuffle_scale_blockscale_a(x_scale, K)"), - ("w_scale", w_scale, want_b, "shuffle_scale_blockscale_b(w_scale, N, K)"), - ): - if s.dim() != 1 or s.numel() != want or not s.is_contiguous(): - raise RuntimeError( - f"[FlyDSL gfx950 mxpsh] {name} must be the shuffled flat buffer " - f"({want} contiguous elements, 1-D), got {tuple(s.shape)} " - f"stride {tuple(s.stride())}. Prepare it with " - f"aiter.ops.shuffle.{helper}." - ) - - return flydsl_mxscale_preshuffle_gemm( - XQ, - WQ, - x_scale, - w_scale, - Out, - a_dtype="fp8", - b_dtype="fp8", - tile_m=p["tile_m"], - tile_n=p["tile_n"], - tile_k=p["tile_k"], - waves_per_eu=p["waves_per_eu"], - xcd_swizzle=p["xcd_swizzle"], - split_k=p["split_k"], - blockscale=True, - ) - - -def run_gemm_a8w8_mxfp8_gfx950(XQ, WQ, x_scale, w_scale, Out, kernel_name=None): - """gfx950 FP8 GEMM with unshuffled per-1x32 e8m0 scales, into ``Out``. - - XQ [M, K] fp8 row-major; WQ [N, K] fp8, shuffle_weight(., (16, 16)). - x_scale [M, K // 32] and w_scale [N, K // 32] e8m0, row-major and NOT - shuffled (no row padding): the kernel stages them through LDS itself. - ``kernel_name`` is a tuned row's mxpsh or 8-wave kernelName, else the - heuristic picks an mxpsh tile. - """ - from .gemm_a8w8_mxfp8_8wave import NAME_PREFIX as MXFP8_8WAVE_PREFIX - from .gemm_tune.flydsl_gemm_mxscale_preshuffle_common import parse_kernel_name - if kernel_name is not None and kernel_name.startswith(f"{MXFP8_8WAVE_PREFIX}_"): if Out.dtype == torch.bfloat16: from .gemm_a8w8_mxfp8_8wave import run_gemm_a8w8_mxfp8_8wave - return run_gemm_a8w8_mxfp8_8wave(XQ, WQ, x_scale, w_scale, Out, kernel_name) + return run_gemm_a8w8_mxfp8_8wave( + XQ, WQ, x_scale, w_scale, Out, kernel_name, w_scale_block + ) # The 8-wave kernel writes bf16 only; any other Out runs the mxpsh # heuristic tile for this (tuned) shape instead. kernel_name = None @@ -525,11 +471,12 @@ def run_gemm_a8w8_mxfp8_gfx950(XQ, WQ, x_scale, w_scale, Out, kernel_name=None): M, K = int(XQ.shape[0]), int(XQ.shape[-1]) N = int(Out.shape[-1]) if kernel_name is None: - ki = _heuristic_tile("fp8", "fp8", M, N, K, MXFP8_ROW_SCALES) + ki = _heuristic_tile("fp8", "fp8", M, N, K, scales) if ki is None: raise NotImplementedError( f"[FlyDSL gfx950 mxfp8] no kernel for M={M}, N={N}, K={K} with " - f"1x32 scales (needs K%128==0 and N a multiple of a tile_n)" + f"a {w_scale_block} w_scale (needs K%128==0 and N a multiple of a " + f"tile_n)" ) kernel_name = ki.name if warn_untuned: @@ -555,11 +502,13 @@ def run_gemm_a8w8_mxfp8_gfx950(XQ, WQ, x_scale, w_scale, Out, kernel_name=None): xcd_swizzle=p["xcd_swizzle"], split_k=p["split_k"], fused_split_k=p["fused_split_k"], - **dict(MXFP8_ROW_SCALES), + **dict(scales), ) -def pick_mxfp8_kernel_name_gfx950(M, N, K): +def pick_mxfp8_kernel_name_gfx950(M, N, K, w_scale_block="1x32"): """The kernelName run_gemm_a8w8_mxfp8_gfx950 runs for an untuned shape.""" - ki = _heuristic_tile("fp8", "fp8", M, N, K, MXFP8_ROW_SCALES) + ki = _heuristic_tile( + "fp8", "fp8", M, N, K, MXFP8_ROW_SCALES_BY_W_SCALE_BLOCK[w_scale_block] + ) return None if ki is None else ki.name diff --git a/aiter/ops/gemm_op_a8w8.py b/aiter/ops/gemm_op_a8w8.py index 9aa1f94ae15..f179f562a31 100644 --- a/aiter/ops/gemm_op_a8w8.py +++ b/aiter/ops/gemm_op_a8w8.py @@ -218,16 +218,6 @@ def gemm_a8w8_bpreshuffle_flydsl( return Out -@functools.cache -def _warn_untuned_flydsl_fallback(gfx: str, op: str, n: int, k: int) -> None: - """Warn once per (arch, op, N, K) that a shape has no tuned row.""" - logger.warning( - f"[{gfx}] {op}: no tuned row for N={n}, K={k}; falling back to a " - f"heuristic flydsl kernel. Tune this shape to remove the guess. " - f"(logged once per N/K; AITER_LOG_TUNED_CONFIG=1 for per-call detail)" - ) - - def gemm_a8w8_mxfp8_128_bpreshuffle_flydsl( XQ: Tensor, WQ: Tensor, @@ -257,29 +247,6 @@ def gemm_a8w8_mxfp8_128_bpreshuffle_flydsl( ) -def gemm_a8w8_mxscale_preshuffle_flydsl( - XQ: Tensor, - WQ: Tensor, - x_scale: Tensor, - w_scale: Tensor, - Out: Tensor, - config: dict, -) -> Tensor: - """gfx950 FlyDSL MX-microscale preshuffle GEMM (CDNA4 scaled-MFMA).""" - kernel_name = str(config.get("kernelName", "")) - if get_gfx() != "gfx950": - raise RuntimeError( - "gemm_a8w8_mxscale_preshuffle_flydsl is only supported on gfx950" - ) - from .flydsl.mxscale_preshuffle_kernels import ( - run_gemm_a8w8_mxscale_preshuffle_gfx950, - ) - - return run_gemm_a8w8_mxscale_preshuffle_gfx950( - XQ, WQ, x_scale, w_scale, Out, kernel_name - ) - - @compile_ops( "module_gemm_a8w8_asm", fc_name="gemm_a8w8_asm", @@ -917,39 +884,28 @@ def _group32_w_scale_block(XQ, WQ, x_scale, w_scale) -> str | None: _MXSCALE_BPRESHUFFLE_KEYS = ["gfx", "cu_num", "M", "N", "K", "w_scale_block"] MXSCALE_BMM_KERNEL_ID = "bmm" +# gfx950's gemm_a8w8_mxfp8 kernels (flydsl.gemm_a8w8_mxfp8) on the same raw +# scales, tuned against bmm by the mxfp8 tuner's --mxscale_table. +MXSCALE_MXFP8_KERNEL_ID = "mxfp8" +_MXSCALE_RAW_KERNEL_IDS = (MXSCALE_BMM_KERNEL_ID, MXSCALE_MXFP8_KERNEL_ID) @functools.cache -def _load_mxscale_bpreshuffle_tuned(bmm: bool) -> dict: +def _load_mxscale_bpreshuffle_tuned() -> dict: """{(gfx, cu_num, M, N, K, w_scale_block): row} of the e8m0 block-scale - table for preshuffled weights, restricted to the batched-GEMM rows - (``bmm``) or to the shuffled-scale 2D-GEMM rows.""" + table for preshuffled weights.""" path = AITER_CONFIGS.AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_MXSCALE_BPRESHUFFLE_FILE df = pd.read_csv(path).drop_duplicates() - is_bmm = (df["libtype"].astype(str) == "flydsl") & ( - df["kernelId"].astype(str) == MXSCALE_BMM_KERNEL_ID - ) - return ( - df[is_bmm if bmm else ~is_bmm] - .set_index(_MXSCALE_BPRESHUFFLE_KEYS) - .to_dict("index") - ) + return df.set_index(_MXSCALE_BPRESHUFFLE_KEYS).to_dict("index") @functools.lru_cache(maxsize=1024) -def get_mxscale_bpreshuffle_config( - m: int, n: int, k: int, w_scale_block: str, bmm: bool -): - # bmm is passed positionally at every call site: lru_cache's _make_key takes - # a slower path for keyword arguments (+37ns on every hit). +def get_mxscale_bpreshuffle_config(m: int, n: int, k: int, w_scale_block: str): """Tuned row of an e8m0 block-scale GEMM on preshuffled weights, at M or a - padded M; None when untuned. ``bmm`` selects the operand contract: the - batched GEMM run with B = 1, or the shuffled-scale 2D GEMM. Cached per - shape, so a miss is reported once.""" + padded M; None when untuned. Cached per shape, so a miss is reported once.""" gfx, cu_num = get_gfx(), get_cu_num() - kind = "bmm" if bmm else "2d" row, padded_m = find_padded_m_row( - _load_mxscale_bpreshuffle_tuned(bmm), + _load_mxscale_bpreshuffle_tuned(), lambda pm: (gfx, cu_num, pm, n, k, w_scale_block), m, n, @@ -957,14 +913,13 @@ def get_mxscale_bpreshuffle_config( ) if row is None: logger.warning( - f"mxscale bpreshuffle ({kind}) M:{m}, N:{n}, K:{k}, w_scale " - f"{w_scale_block} is untuned on {gfx}; a heuristic picks the kernel." + f"mxscale bpreshuffle M:{m}, N:{n}, K:{k}, w_scale {w_scale_block} is " + f"untuned on {gfx}; the flydsl batched GEMM heuristic picks its kernel." ) elif AITER_LOG_TUNED_CONFIG: logger.info( - f"mxscale bpreshuffle ({kind}) M:{m}, N:{n}, K:{k}, w_scale " - f"{w_scale_block} is tuned at padded_M {padded_m} on {gfx}: " - f"{row['kernelName']}" + f"mxscale bpreshuffle M:{m}, N:{n}, K:{k}, w_scale {w_scale_block} is " + f"tuned at padded_M {padded_m} on {gfx}: {row['kernelName']}" ) return row @@ -972,28 +927,39 @@ def get_mxscale_bpreshuffle_config( # The blockscale x_scale block: a 1x128 x_scale has column-major bytes. _BLOCKSCALE_X_BLOCK = 128 -MXPSH_W_SCALE_BLOCK = "128x128" - def _gemm_mxscale_bpreshuffle(XQ, WQ, x_scale, w_scale, Y): - """E8M0 block-scale GEMM on (16, 16)-preshuffled weights. A 128-wide - x_scale has column-major bytes (blockscale), a 32-wide one is row-major - (group32/MX). Rows are selected by kernelId == "bmm": the flydsl batched + """E8M0 block-scale GEMM on (16, 16)-preshuffled weights, scales raw (as + quantized): a 128-wide x_scale has column-major bytes (blockscale), a + 32-wide one is row-major (group32/MX). A tuned row's kernelId names the + backend: "mxfp8" is gfx950's mxpsh / 8-wave GEMM (run_gemm_a8w8_mxfp8_gfx950; + its x_scale block goes with the w_scale's: 1x128 with 128x128, else 1x32), + "bmm" the flydsl batched GEMM (flydsl.batched_gemm_a8w8) run with B = 1, which also serves untuned - shapes. The non-"bmm" rows at the same key belong to the shuffled-scale 2D - GEMMs, which cannot read these raw scales.""" + shapes.""" m, k = XQ.shape n = WQ.shape[0] w_scale_block = mxscale_w_scale_block(tuple(w_scale.shape), n, k) - config = get_mxscale_bpreshuffle_config(m, n, k, w_scale_block, True) # bmm - if config is not None and (config["libtype"], str(config["kernelId"])) != ( - "flydsl", - MXSCALE_BMM_KERNEL_ID, + x_block = k // x_scale.shape[-1] + config = get_mxscale_bpreshuffle_config(m, n, k, w_scale_block) + backend = None if config is None else str(config["kernelId"]) + if config is not None and ( + config["libtype"] != "flydsl" or backend not in _MXSCALE_RAW_KERNEL_IDS ): raise NotImplementedError( f"mxscale bpreshuffle row {config['libtype']}/{config['kernelId']} " f"has no implementation" ) + if backend == MXSCALE_MXFP8_KERNEL_ID: + if x_block == (128 if w_scale_block == "128x128" else 32): + from .flydsl.mxscale_preshuffle_kernels import run_gemm_a8w8_mxfp8_gfx950 + + return run_gemm_a8w8_mxfp8_gfx950( + XQ, WQ, x_scale, w_scale, Y, str(config["kernelName"]), w_scale_block + ) + # An x_scale block the mxfp8 kernels do not pair with this w_scale: + # bmm reads every pairing, its heuristic picks. + config = None from .flydsl.batched_gemm_a8w8 import run_bmm_a8w8_mxfp8 run_bmm_a8w8_mxfp8( @@ -1003,7 +969,7 @@ def _gemm_mxscale_bpreshuffle(XQ, WQ, x_scale, w_scale, Y): w_scale.view(1, *w_scale.shape), Y.view(m, 1, n), kernel_name=None if config is None else config["kernelName"], - x_scale_transposed=k // x_scale.shape[-1] == _BLOCKSCALE_X_BLOCK, + x_scale_transposed=x_block == _BLOCKSCALE_X_BLOCK, ) return Y @@ -1233,7 +1199,7 @@ def gemm_a8w8_blockscale_bpreshuffle( ) if use_gfx1250_flydsl_or_triton_mxfp8_128: config = get_mxscale_bpreshuffle_config( - m, n, k, mxscale_w_scale_block(tuple(w_scale.shape), n, k), False # not bmm + m, n, k, mxscale_w_scale_block(tuple(w_scale.shape), n, k) ) # A tuned triton/gluon row wins over flydsl on the SAME mxfp8_128 # operands: gemm_afp8wfp8_preshuffle consumes the e8m0 scales natively @@ -1287,41 +1253,13 @@ def gemm_a8w8_blockscale_bpreshuffle( XQ, WQ, x_scale, w_scale, Y, {"kernelName": ki.name} ) - # gfx950 e8m0 has two implementations; the scale layout tells them apart. - # 1-D flat -> the caller pre-shuffled with shuffle_scale_blockscale_a/_b, - # a layout only the mxpsh 2D GEMM reads. - # 2-D raw -> the batched-B=1 path, which also covers group32 (1x32). + # E8M0 block scales take the flydsl GEMMs on raw scales (bmm or + # gemm_a8w8_mxfp8, as the tuned row says), FP32 ones CK / asm below. if ( get_gfx() == "gfx950" and x_scale.dtype == dtypes.fp8_e8m0 and w_scale.dtype == dtypes.fp8_e8m0 ): - if x_scale.dim() == 1 and w_scale.dim() == 1: - config = get_mxscale_bpreshuffle_config( - m, n, k, MXPSH_W_SCALE_BLOCK, False # not bmm - ) - if config is not None and config["libtype"] == "flydsl": - return gemm_a8w8_mxscale_preshuffle_flydsl( - XQ, WQ, x_scale, w_scale, Y, config - ) - - from ..ops.flydsl.mxscale_preshuffle_kernels import _heuristic_tile - - ki = _heuristic_tile("fp8", "fp8", m, n, k) - if ki is None: - # Cannot fall through: the scales are the MX kernel's shuffled - # flat buffers, which the fp32 backends below would read as - # garbage. - raise RuntimeError( - f"gemm_a8w8_blockscale_bpreshuffle: no legal gfx950 MX tile " - f"for M={m}, N={n}, K={k} (needs N%128==0 and K%128==0)" - ) - _warn_untuned_flydsl_fallback( - "gfx950", "gemm_a8w8_blockscale_bpreshuffle", n, k - ) - return gemm_a8w8_mxscale_preshuffle_flydsl( - XQ, WQ, x_scale, w_scale, Y, {"kernelName": ki.name} - ) return _gemm_mxscale_bpreshuffle(XQ, WQ, x_scale, w_scale, Y) # temporarily guard scale that are not fp32. @@ -1454,7 +1392,7 @@ def _abpreshuffle_config_from_bpreshuffle(m: int, n: int, k: int, w_scale) -> di from .flydsl.mxfp8_bpreshuffle_gemm_gfx1250 import is_compute_wmma_kernel_name config = get_mxscale_bpreshuffle_config( - m, n, k, mxscale_w_scale_block(tuple(w_scale.shape), n, k), False # not bmm + m, n, k, mxscale_w_scale_block(tuple(w_scale.shape), n, k) ) borrowed = None if config is not None and config.get("libtype") == "flydsl": @@ -2345,7 +2283,9 @@ def gemm_a8w8_mxfp8_bpreshuffle( * gfx950: x_scale [M, K/32] and w_scale [N, K/32] e8m0, row-major and unshuffled. The w_scale block is read off its shape and served by - flydsl.gemm_a8w8_mxfp8 (as the batched mxscale GEMM does). + flydsl.gemm_a8w8_mxfp8 (as the batched mxscale GEMM does). The 32x32 and + 128x128 blocks go through gemm_a8w8_blockscale_bpreshuffle, whose tuned + rows pick bmm or these kernels. * gfx1250: w_scale [N, K/32] is always 32x4 shuffled. x_scale is row-major [M, K/32] by default. With a_scale_preshuffled=True it must be 32x4 shuffled [ceil(M/32)*32, K/32]. The tuned CSV selects the row-major diff --git a/aiter/ops/shuffle.py b/aiter/ops/shuffle.py index 0f59db25db4..41fa78765d5 100644 --- a/aiter/ops/shuffle.py +++ b/aiter/ops/shuffle.py @@ -450,55 +450,6 @@ def shuffle_scale_a16w4( ) -def _pad_kblocks(s: torch.Tensor, K: int) -> tuple[torch.Tensor, int]: - K1 = (K + 255) // 256 - if s.shape[-1] < 2 * K1: - s = F.pad(s, (0, 2 * K1 - s.shape[-1]), value=0x7F) - return s, K1 - - -def shuffle_scale_blockscale_a(a_scale: torch.Tensor, K: int) -> torch.Tensor: - s = a_scale.view(torch.uint8).contiguous() - rows = s.shape[0] - if s.shape[-1] != K // 128: - raise ValueError( - f"blockscale a_scale must be (rows, K//128)=(*, {K // 128}); " - f"got {tuple(a_scale.shape)}" - ) - if rows % 32: - s = F.pad(s, (0, 0, 0, (-rows) % 32), value=0x7F) # 0x7F = E8M0 1.0 - rows = s.shape[0] - s, K1 = _pad_kblocks(s, K) - from aiter.utility import dtypes - - return ( - s.view(rows // 32, 2, 16, K1, 2) - .permute(0, 3, 2, 4, 1) - .contiguous() - .view(-1) - .view(dtypes.fp8_e8m0) - ) - - -def shuffle_scale_blockscale_b(b_scale: torch.Tensor, N: int, K: int) -> torch.Tensor: - s = b_scale.view(torch.uint8).contiguous() - if s.shape != (N // 128, K // 128): - raise ValueError( - f"blockscale b_scale must be (N//128, K//128)=({N // 128}, {K // 128}); " - f"got {tuple(b_scale.shape)}" - ) - s, K1 = _pad_kblocks(s, K) - from aiter.utility import dtypes - - return ( - s.view(N // 128, K1, 2, 1) - .expand(N // 128, K1, 2, 2) - .contiguous() - .view(-1) - .view(dtypes.fp8_e8m0) - ) - - def pack_int8_to_packed_int4(x_shuf_i8: torch.Tensor) -> torch.Tensor: """Pack a preshuffled int8 tensor (values in [-8, 7]) into packed int4 bytes. diff --git a/csrc/ck_gemm_a8w8_blockscale/gemm_a8w8_blockscale_tune.py b/csrc/ck_gemm_a8w8_blockscale/gemm_a8w8_blockscale_tune.py index b875b3c085b..c1bb9c183b5 100644 --- a/csrc/ck_gemm_a8w8_blockscale/gemm_a8w8_blockscale_tune.py +++ b/csrc/ck_gemm_a8w8_blockscale/gemm_a8w8_blockscale_tune.py @@ -11,25 +11,18 @@ from einops import rearrange import aiter -from aiter import dtypes, logger +from aiter import dtypes from aiter.jit.core import ( AITER_CONFIG_GEMM_A8W8_BLOCKSCALE, AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_BPRESHUFFLE, - AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_MXSCALE_BPRESHUFFLE, get_asm_dir, ) from aiter.jit.utils.chip_info import get_gfx_runtime as get_gfx -from aiter.ops.gemm_op_a8w8 import MXPSH_W_SCALE_BLOCK, MXSCALE_BMM_KERNEL_ID from aiter.ops.opus.gemm_op_a8w8 import ( opus_gemm_a8w8_blockscale_bpreshuffle_tune, ) -from aiter.ops.shuffle import ( - shuffle_scale_blockscale_a, - shuffle_scale_blockscale_b, - shuffle_weight, -) -from aiter.utility import fp4_utils -from aiter.utility.base_tuner import GemmCommonTuner, _read_csv +from aiter.ops.shuffle import shuffle_weight +from aiter.utility.base_tuner import GemmCommonTuner from aiter.utility.mp_tuner import mp_tuner sys.path.insert(0, str(Path(__file__).parent.parent)) @@ -45,26 +38,8 @@ from gemm_a8w8_blockscale_instance import candidate_kernels_dict from opus_gemm.opus_gemm_common import gfx942_a8w8_kernels_list -try: - from aiter.ops.flydsl.gemm_tune.flydsl_gemm_mxscale_preshuffle_common import ( - fits_shape as fits_shape_flydsl, - ) - from aiter.ops.flydsl.gemm_tune.flydsl_gemm_mxscale_preshuffle_common import ( - kernels_list as kernels_list_flydsl, - ) -except ImportError as _flydsl_import_err: - print( - f"[FlyDSL] mxscale preshuffle catalog unavailable " - f"({_flydsl_import_err}); --libtype flydsl disabled" - ) - kernels_list_flydsl = {} - fits_shape_flydsl = None - - block_shape = (128, 128) -FP8_E4M3_MAX = 448.0 - def get_valid_asm_splitK_list(K: int, max_splitK: int, tile_k: int = 128): """Filter splitK values to only those that produce valid TileK-aligned partitions.""" @@ -194,63 +169,6 @@ def run_gemm_a8w8_blockscale_opus( ) -def run_gemm_a8w8_blockscale_flydsl( - x, - weight_shuffle, - x_scale_shuf, - w_scale_shuf, - out, - kernel_name, -): - from aiter.ops.flydsl.mxscale_preshuffle_kernels import ( - run_gemm_a8w8_mxscale_preshuffle_gfx950, - ) - - return run_gemm_a8w8_mxscale_preshuffle_gfx950( - x, weight_shuffle, x_scale_shuf, w_scale_shuf, out, kernel_name - ) - - -def generate_data_e8m0(m, n, k, seed, device="cuda"): - """Data for the FlyDSL MX backend, kept separate from generate_data().""" - torch.manual_seed(seed) - block_shape_n, block_shape_k = block_shape - scale_n = (n + block_shape_n - 1) // block_shape_n - scale_k = (k + block_shape_k - 1) // block_shape_k - x = (torch.rand((m, k), dtype=dtypes.fp16, device=device) / 10).to(dtypes.fp8) - weight = (torch.rand((n, k), dtype=dtypes.fp16, device=device) / 10).to(dtypes.fp8) - - def quant(s): - return fp4_utils.f32_to_mx_e8m0_scale( - s * FP8_E4M3_MAX, dtype=fp4_utils.MxDtypeInt.FP8_E4M3 - ) - - x_scale = quant(torch.rand([m, scale_k], dtype=dtypes.fp32, device=device)) - w_scale = quant(torch.rand([scale_n, scale_k], dtype=dtypes.fp32, device=device)) - xs = fp4_utils.e8m0_to_f32(x_scale).repeat_interleave(block_shape_k, dim=1)[:, :k] - ws = ( - fp4_utils.e8m0_to_f32(w_scale) - .repeat_interleave(block_shape_n, dim=0) - .repeat_interleave(block_shape_k, dim=1)[:n, :k] - ) - return { - "x": x, - "weight_shuffle": shuffle_weight(weight, layout=(16, 16)), - # Scales are shuffled caller-side (like shuffle_weight), so the shuffle is - # prep, not part of the timed GEMM -- same split the model uses. - "x_scale_shuf": shuffle_scale_blockscale_a(x_scale, k), - "w_scale_shuf": shuffle_scale_blockscale_b(w_scale, n, k), - "out": torch.empty(m, n, dtype=dtypes.bf16, device=device), - "x_deq": x.to(dtypes.fp32) * xs, - "w_deq": weight.to(dtypes.fp32) * ws, - } - - -def run_torch_e8m0(x_deq, w_deq, dtype=dtypes.bf16): - """Reference for the MX backend: operands arrive already dequantized.""" - return F.linear(x_deq, w_deq).to(dtype) - - def generate_data(m, n, k, seed, device="cuda"): """ Generate random data for testing the gemm a8w8 blockscale kernel. @@ -297,118 +215,17 @@ def __init__(self, name, keys, resultList, description=""): """ super().__init__(name, keys, resultList, description) - self._mxscale = False - self._hide_bmm = False def run(self, args, fast_mode=False): - self._mxscale = args.libtype == "flydsl" - if self._mxscale: - if not getattr(args, "preshuffle", False): - self.parser.error( - "--libtype flydsl tunes the preshuffled-weight mxscale GEMM; " - "pass --preshuffle" - ) - if "w_scale_block" not in self.keys: - self.keys = [*self.keys, "w_scale_block"] - self.sort_keys = [*self.sort_keys, "w_scale_block"] - self.columns = self.keys + [ - c for c in self.columns if c not in self.keys - ] - self.ARG_DEFAULTS = { - **self.ARG_DEFAULTS, - "config_env_name": ( - "AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_MXSCALE_BPRESHUFFLE" - ), - "tune_file": f"{AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_MXSCALE_BPRESHUFFLE}", - } - if args.tune_file in ( - f"{AITER_CONFIG_GEMM_A8W8_BLOCKSCALE}", - f"{AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_BPRESHUFFLE}", - ): - args.tune_file = ( - f"{AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_MXSCALE_BPRESHUFFLE}" - ) - logger.warning( - "--libtype flydsl without -o: writing to %s (the mxscale " - "family; the fp32 -o defaults point at other tables).", - args.tune_file, - ) - elif getattr(args, "preshuffle", False): - self.ARG_DEFAULTS = { - **self.ARG_DEFAULTS, - "config_env_name": "AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_BPRESHUFFLE", - "tune_file": f"{AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_BPRESHUFFLE}", - } - if args.tune_file == f"{AITER_CONFIG_GEMM_A8W8_BLOCKSCALE}": - args.tune_file = f"{AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_BPRESHUFFLE}" - logger.warning( - "--preshuffle without -o: writing to %s (the -o default " - "still points at the non-preshuffle family).", - args.tune_file, - ) + if getattr(args, "preshuffle", False): + self.ARG_DEFAULTS["config_env_name"] = ( + "AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_BPRESHUFFLE" + ) + self.ARG_DEFAULTS["tune_file"] = ( + f"{AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_BPRESHUFFLE}" + ) return super().run(args, fast_mode) - @staticmethod - def _is_bmm(df): - if df.empty or "kernelId" not in df.columns: - return pd.Series(False, index=df.index, dtype=bool) - return (df["libtype"].astype(str) == "flydsl") & ( - df["kernelId"].astype(str) == MXSCALE_BMM_KERNEL_ID - ) - - def pre_process(self, args): - self._hide_bmm = self._mxscale - try: - super().pre_process(args) - finally: - self._hide_bmm = False - - def result_to_csv(self, resultdf, file, concat=False): - if not self._mxscale: - return super().result_to_csv(resultdf, file, concat) - full = super().get_tuned_gemm_list(file) - bmm_rows = full[self._is_bmm(full)] - self._hide_bmm = True - try: - super().result_to_csv(resultdf, file, concat) - finally: - self._hide_bmm = False - merged = pd.concat([_read_csv(file), bmm_rows], ignore_index=True) - merged.to_csv(file, index=False, na_rep="Null") - - def sortResults(self, tune_file, issorted, values): - # super() de-duplicates on self.keys, which bmm and mxpsh share entirely, - # so it would drop one row of every pair. De-dup per contract instead. - if not self._mxscale or not os.path.exists(tune_file): - return super().sortResults(tune_file, issorted, values) - df = _read_csv(tune_file) - if df.empty: - return super().sortResults(tune_file, issorted, values) - if "gfx" in self.keys and "gfx" not in df.columns: - df.insert(0, "gfx", self.get_gfx()) - is_bmm = self._is_bmm(df) - df = pd.concat( - [ - g.drop_duplicates(subset=self.keys, keep="last") - for g in (df[~is_bmm], df[is_bmm]) - ] - ) - if issorted: - df = df.sort_values(by=values) - df.to_csv(tune_file, index=False) - - def get_untuned_gemm_list(self, untuned_gemm_file): - # A plain M,N,K shape list has no w_scale_block, but pre_process slices - # untunedf down to self.keys. The mxpsh contract fixes the block. - df = super().get_untuned_gemm_list(untuned_gemm_file) - if "w_scale_block" in self.keys and "w_scale_block" not in df.columns: - df["w_scale_block"] = MXPSH_W_SCALE_BLOCK - return df - - def get_tuned_gemm_list(self, tuned_gemm_file, columns=None): - df = super().get_tuned_gemm_list(tuned_gemm_file, columns) - return df[~self._is_bmm(df)].reset_index(drop=True) if self._hide_bmm else df - def _clear_op_caches(self): from aiter.ops import gemm_op_a8w8 as _op @@ -425,9 +242,9 @@ def _setup_specific_arguments(self): "--libtype", type=str, default="all", - choices=["ck", "cktile", "asm", "opus", "flydsl", "all", "both"], + choices=["ck", "cktile", "asm", "opus", "all", "both"], required=False, - help="CK gemm a8w8 blockscale type to tune: ck, cktile, asm, opus, flydsl, both or all. 'all'/'both' cover the fp32 backends only; 'flydsl' is the e8m0 mxpsh group (requires --preshuffle) and writes the mxscale table.", + help="CK gemm a8w8 blockscale type to tune: ck, cktile, asm, opus, both or all (covers all supported backends across standard/preshuffleB modes)", ) self.parser.add_argument( @@ -501,7 +318,7 @@ def get_gemm_a8w8_blockscale_cktile_tune_task( block_per_cu, run_kwargs, ): - _gfx, _cu_num, M, N, K, *_ = info_keys + _gfx, _cu_num, M, N, K = info_keys # kernel_list = candidate_kernels_bpreshuffle_cktile_dict if preshuffleB else candidate_kernels_cktile_dict kernel_list = { k: v @@ -578,7 +395,7 @@ def get_gemm_a8w8_blockscale_tune_task( preshuffleB, run_kwargs, ): - _gfx, _cu_num, M, N, K, *_ = info_keys + _gfx, _cu_num, M, N, K = info_keys kernel_list = ( candidate_kernels_bpreshuffle_dict if preshuffleB @@ -649,7 +466,7 @@ def get_gemm_a8w8_blockscale_opus_tune_task( preshuffleB, run_kwargs, ): - gfx, _, M, N, K, *_ = info_keys + gfx, _, M, N, K = info_keys if not preshuffleB or gfx != "gfx942": return [] @@ -685,51 +502,6 @@ def get_gemm_a8w8_blockscale_opus_tune_task( ) return tasks_opus - def get_gemm_a8w8_blockscale_flydsl_tune_task( - self, - info_keys, - seed, - preshuffleB, - run_kwargs, - ): - gfx, _, M, N, K, *_ = info_keys - if not preshuffleB or gfx != "gfx950": - return [] - if not kernels_list_flydsl or fits_shape_flydsl is None: - return [] - - gemm_keys = ["x", "weight_shuffle", "x_scale_shuf", "w_scale_shuf", "out"] - ref_args = (["x_deq", "w_deq"], dtypes.bf16) - tasks_flydsl = [] - for kernel_id, ki in kernels_list_flydsl.items(): - if (ki.a_dtype, ki.b_dtype) != ("fp8", "fp8"): - continue - if not fits_shape_flydsl(ki, M, N, K): - continue - # kernelName carries the full launch config (incl. split-K), so - # dispatch never needs kernelId -- it is recorded for reference only. - info = (info_keys, kernel_id, ki.split_k, ki.name, "flydsl", preshuffleB) - tasks_flydsl.append( - ( - info, - generate_data_e8m0, - (M, N, K, seed), - run_gemm_a8w8_blockscale_flydsl, - (gemm_keys, ki.name), - dict(run_kwargs), - run_torch_e8m0, - ref_args, - {}, - None, - 1e-2, - 0.01, - None, - None, - ("out",), - ) - ) - return tasks_flydsl - def run_config(self, args): from aiter.ops.gemm_op_a8w8 import ( gemm_a8w8_blockscale, @@ -754,46 +526,34 @@ def run_config(self, args): self._get_run_config_err_ratio_limit(row, args) ) try: - if is_preshuffle and self._mxscale: - gd = generate_data_e8m0(M, N, K, 0) + gd = generate_data(M, N, K, 0) + x, weight, x_scale, w_scale, out = ( + gd["x"], + gd["weight"], + gd["x_scale"], + gd["w_scale"], + gd["out"], + ) + weight_shuffle, x_scale_t = gd["weight_shuffle"], gd["x_scale_t"] + if is_preshuffle: out, us = run_perftest( gemm_a8w8_blockscale_bpreshuffle, - gd["x"], - gd["weight_shuffle"], - gd["x_scale_shuf"], - gd["w_scale_shuf"], + x, + weight_shuffle, + x_scale_t, + w_scale, **run_kwargs, ) - ref = run_torch_e8m0(gd["x_deq"], gd["w_deq"]) else: - gd = generate_data(M, N, K, 0) - x, weight, x_scale, w_scale, out = ( - gd["x"], - gd["weight"], - gd["x_scale"], - gd["w_scale"], - gd["out"], + out, us = run_perftest( + gemm_a8w8_blockscale, + x, + weight, + x_scale, + w_scale, + **run_kwargs, ) - weight_shuffle, x_scale_t = gd["weight_shuffle"], gd["x_scale_t"] - if is_preshuffle: - out, us = run_perftest( - gemm_a8w8_blockscale_bpreshuffle, - x, - weight_shuffle, - x_scale_t, - w_scale, - **run_kwargs, - ) - else: - out, us = run_perftest( - gemm_a8w8_blockscale, - x, - weight, - x_scale, - w_scale, - **run_kwargs, - ) - ref = run_torch(x, weight, x_scale, w_scale) + ref = run_torch(x, weight, x_scale, w_scale) err_ratio = checkAllclose(out, ref, msg=f"run_config {shape_str}") status = ( "ok" @@ -817,7 +577,7 @@ def get_gemm_a8w8_blockscale_asm_tune_task( preshuffleB, run_kwargs, ): - _gfx, _cu_num, M, N, K, *_ = info_keys + _gfx, _cu_num, M, N, K = info_keys asm_kernel_list_csv = ( f"{get_asm_dir()}/fp8gemm_blockscale/fp8gemm_bf16_blockscale.csv" ) @@ -911,10 +671,7 @@ def tune( K = untunedf.loc[i, "K"] prev_task_count = len(task) info_keys = (gfx, cu_num, M, N, K) - if self._mxscale: - info_keys += (MXPSH_W_SCALE_BLOCK,) lib = args.libtype - if lib in ("ck", "both", "all"): task.extend( self.get_gemm_a8w8_blockscale_tune_task( @@ -955,15 +712,6 @@ def tune( run_kwargs, ) ) - if lib == "flydsl": - task.extend( - self.get_gemm_a8w8_blockscale_flydsl_tune_task( - info_keys, - seed, - isPreshuffleB, - run_kwargs, - ) - ) shape_kernel_nums = len(task) - prev_task_count tasks_data.append((shape_kernel_nums, ())) diff --git a/csrc/gemm_a8w8_mxfp8_bpreshuffle/gemm_a8w8_mxfp8_bpreshuffle_tune.py b/csrc/gemm_a8w8_mxfp8_bpreshuffle/gemm_a8w8_mxfp8_bpreshuffle_tune.py index ea5869c75da..d0ad173a2b2 100644 --- a/csrc/gemm_a8w8_mxfp8_bpreshuffle/gemm_a8w8_mxfp8_bpreshuffle_tune.py +++ b/csrc/gemm_a8w8_mxfp8_bpreshuffle/gemm_a8w8_mxfp8_bpreshuffle_tune.py @@ -1,15 +1,29 @@ # SPDX-License-Identifier: MIT # Copyright (C) 2024-2026, Advanced Micro Devices, Inc. All rights reserved. -"""Tune gemm_a8w8_mxfp8_bpreshuffle (FP8 GEMM, 1x32 e8m0 scales) on gfx950. +"""Tune gemm_a8w8_mxfp8_bpreshuffle (FP8 GEMM, e8m0 microscales) on gfx950. gfx950 runs two FlyDSL pipelines on unshuffled row-major scales (x_scale [M, K/32], w_scale [N, K/32]): the mxpsh kernel and the 8-wave 256x256 one (ids from 1_000_000). Every candidate of both that fits the shape is timed and -the fastest lands in the same table the gfx1250 rows live in, keyed by gfx: +the fastest lands in the same table the gfx1250 rows live in, keyed by gfx and +w_scale_block (1x32: a shape list without the column is one): python3 csrc/gemm_a8w8_mxfp8_bpreshuffle/gemm_a8w8_mxfp8_bpreshuffle_tune.py \\ -i aiter/configs/a8w8_mxfp8_bpreshuffle_untuned_gemm.csv \\ -o aiter/configs/model_configs/dsv4_a8w8_mxfp8_bpreshuffle_tuned_gemm.csv + +--mxscale_table tunes gemm_a8w8_blockscale_bpreshuffle's e8m0 table instead, +the only one the 32x32 (w_scale [N/32, K/32], as bmm's) and 128x128 blocks +(w_scale [N/128, K/128], x_scale 1x128 as its column-major bytes) have: the +batched GEMM at B = 1 (bmm) joins as a third backend on them (its candidates: +the table's tuned bmm kernels for M/2..2M, its heuristic pick, and their +split-K neighbours), and a row's kernelId names the backend that runs it, +"mxfp8" or "bmm": + + python3 csrc/gemm_a8w8_mxfp8_bpreshuffle/gemm_a8w8_mxfp8_bpreshuffle_tune.py \\ + --mxscale_table \\ + -i \\ + -o aiter/configs/model_configs/dsv4_a8w8_blockscale_mxscale_bpreshuffle_tuned_gemm.csv """ from typing import Any, ClassVar @@ -21,6 +35,8 @@ from aiter import dtypes, logger from aiter.ops.flydsl.gemm_tune.flydsl_gemm_mxscale_preshuffle_common import ( MXFP8_ROW_PIPELINES, + MXFP8_ROW_W32X32_PIPELINES, + MXFP8_ROW_W128X128_PIPELINES, ) from aiter.ops.gemm_op_common import with_mxscale_w_scale_block from aiter.ops.shuffle import shuffle_weight @@ -32,29 +48,44 @@ # table from before the column. W_SCALE_BLOCK = "1x32" # w_scale block -> the pipelines tuned for it. -PIPELINES_BY_W_SCALE_BLOCK = {"1x32": MXFP8_ROW_PIPELINES} +PIPELINES_BY_W_SCALE_BLOCK = { + "1x32": MXFP8_ROW_PIPELINES, + "32x32": MXFP8_ROW_W32X32_PIPELINES, + "128x128": MXFP8_ROW_W128X128_PIPELINES, +} def generate_data(m, n, k, seed, w_scale_block=W_SCALE_BLOCK, device="cuda"): - """fp8 operands with per-1x32 e8m0 scales around 2^-3..2^3, unshuffled.""" - assert w_scale_block == "1x32", f"no {w_scale_block} w_scale data" + """fp8 operands with e8m0 scales around 2^-3..2^3, unshuffled, per + w_scale_block: 1x32 x_scale [m, k/32] with a 1x32 [n, k/32] or 32x32 + [n/32, k/32] w_scale; or the blockscale pair, a 1x128 x_scale (a contiguous + (m, k/128) holding the column-major [k/128, m] bytes) and a 128x128 + [n/128, k/128] w_scale.""" + blocks = {"1x32": (1, 32), "32x32": (32, 32), "128x128": (128, 128)} + assert w_scale_block in blocks, f"no {w_scale_block} w_scale data" + w_rows, kb = blocks[w_scale_block] torch.manual_seed(seed) x = (torch.randn((m, k), device=device) * 2).to(dtypes.fp8) weight = (torch.randn((n, k), device=device) * 2).to(dtypes.fp8) - x_scale = torch.randint(124, 131, (m, k // 32), dtype=torch.uint8, device=device) - w_scale = torch.randint(124, 131, (n, k // 32), dtype=torch.uint8, device=device) + x_scale = torch.randint(124, 131, (m, k // kb), dtype=torch.uint8, device=device) + w_scale = torch.randint( + 124, 131, (n // w_rows, k // kb), dtype=torch.uint8, device=device + ) - def dequant(q, s): - return q.to(dtypes.fp32) * torch.exp2(s.float() - 127).repeat_interleave(32, 1) + def dequant(q, s, rows=1): + s = torch.exp2(s.float() - 127).repeat_interleave(rows, 0) + return q.to(dtypes.fp32) * s.repeat_interleave(kb, 1) + # A 1x128 x_scale is passed as its column-major bytes. + x_scale_arg = x_scale if kb == 32 else x_scale.T.contiguous().view(m, k // kb) return { "x": x, "weight_shuffle": shuffle_weight(weight, layout=(16, 16)), - "x_scale": x_scale.view(dtypes.fp8_e8m0), + "x_scale": x_scale_arg.view(dtypes.fp8_e8m0), "w_scale": w_scale.view(dtypes.fp8_e8m0), "out": torch.empty(m, n, dtype=dtypes.bf16, device=device), "x_deq": dequant(x, x_scale), - "w_deq": dequant(weight, w_scale), + "w_deq": dequant(weight, w_scale, w_rows), } @@ -62,6 +93,79 @@ def run_torch(x_deq, w_deq, dtype=dtypes.bf16): return F.linear(x_deq, w_deq).to(dtype) +# The batched GEMM at B = 1 in --mxscale_table mode: its ids follow mxfp8's +# (kernelId records the backend in that table), its split-K variants the +# batched tuner's. +KERNEL_ID_BASE_BMM = 3_000_000 +_BMM_SPLITS = (1, 2, 4, 8, 16) +MXSCALE_KERNEL_ID = "mxfp8" +MXSCALE_BMM_KERNEL_ID = "bmm" + + +def _bmm_scale_args(w_scale_block): + g = int(w_scale_block.split("x")[1]) + # The blockscale x_scale (1x128) is passed as its column-major bytes. + return { + "x_scale_k": g, + "w_scale_n": g, + "w_scale_k": g, + "x_scale_transposed": g == 128, + } + + +def bmm_candidates(m, n, k, w_scale_block, seeds=()): + """bmm kernelNames to time for a shape: ``seeds`` (tuned bmm rows of nearby + M), the heuristic pick, and their split-K neighbours that run it.""" + if w_scale_block not in ("32x32", "128x128"): + return [] + from aiter.ops.flydsl.batched_gemm_a8w8_gfx950 import ( + bmm_kernel_name, + check_bmm_config, + parse_bmm_kernel_name, + pick_bmm_kernel_name, + ) + + scale_args = _bmm_scale_args(w_scale_block) + names = set(seeds) + try: + names.add(pick_bmm_kernel_name(1, m, n, k, **scale_args)) + except ValueError: + pass + out = set() + for name in names: + cfg = parse_bmm_kernel_name(name) + if cfg is None: + continue + base = cfg["splits"] + for sp in _BMM_SPLITS: + if sp != base and not base / 2 <= sp <= base * 2: + continue + c = {**cfg, "splits": sp} + try: + check_bmm_config(n, k, 1, **c, **scale_args) + except ValueError: + continue + out.add(bmm_kernel_name(**c)) + return sorted(out) + + +def run_bmm_flydsl(x, weight_shuffle, x_scale, w_scale, out, kernel_name): + from aiter.ops.flydsl.batched_gemm_a8w8 import run_bmm_a8w8_mxfp8 + + m, k = x.shape + n = weight_shuffle.shape[0] + run_bmm_a8w8_mxfp8( + x.view(m, 1, k), + weight_shuffle.view(1, n, k), + x_scale.view(m, 1, x_scale.shape[-1]), + w_scale.view(1, *w_scale.shape), + out.view(m, 1, n), + kernel_name=kernel_name, + x_scale_transposed=k // x_scale.shape[-1] == 128, + ) + return out + + def run_gemm_flydsl(x, weight_shuffle, x_scale, w_scale, out, kernel_name): from aiter.ops.flydsl.mxscale_preshuffle_kernels import run_gemm_a8w8_mxfp8_gfx950 @@ -97,7 +201,34 @@ def _clear_op_caches(self): _op._CKGEMM_HAS_GFX.clear() def _setup_specific_arguments(self): - pass + self.parser.add_argument( + "--mxscale_table", + action="store_true", + help="Tune gemm_a8w8_blockscale_bpreshuffle's e8m0 table: bmm (the " + "batched GEMM at B = 1) joins on 32x32 / 128x128, and kernelId names " + "the backend, mxfp8 or bmm.", + ) + + def _bmm_seeds(self): + """{(N, K, w_scale_block): [(M, bmm kernelName)]} of the tuned + gemm_a8w8_blockscale_bpreshuffle table, this arch and CU count.""" + from aiter.jit.core import AITER_CONFIGS + + path = AITER_CONFIGS.AITER_CONFIG_GEMM_A8W8_BLOCKSCALE_MXSCALE_BPRESHUFFLE_FILE + try: + df = with_mxscale_w_scale_block(pd.read_csv(path), path) + except (OSError, pd.errors.EmptyDataError): + return {} + df = df[ + (df["gfx"] == self.get_gfx()) + & (df["cu_num"] == self.get_cu_num()) + & (df["kernelId"].astype(str) == MXSCALE_BMM_KERNEL_ID) + ] + seeds = {} + for r in df.itertuples(): + key = (int(r.N), int(r.K), str(r.w_scale_block)) + seeds.setdefault(key, []).append((int(r.M), str(r.kernelName))) + return seeds def get_untuned_gemm_list(self, untuned_gemm_file): # A plain M,N,K shape list is a 1x32 one (as is a blank cell of a @@ -181,6 +312,16 @@ def tune(self, untunedf, tunedf, args): task = [] tasks_data = [] + self._mxscale_table = bool(getattr(args, "mxscale_table", False)) + coarse = sorted(set(untunedf["w_scale_block"]) - {W_SCALE_BLOCK}) + if coarse and not self._mxscale_table: + # gemm_a8w8_mxfp8_bpreshuffle serves 1x32 only; these blocks run + # through gemm_a8w8_blockscale_bpreshuffle's table, tuned with bmm. + raise ValueError( + f"w_scale block {coarse} is tuned for gemm_a8w8_blockscale_" + f"bpreshuffle only: pass --mxscale_table" + ) + seeds = self._bmm_seeds() if self._mxscale_table else {} for i in range(len(untunedf)): M = int(untunedf.loc[i, "M"]) N = int(untunedf.loc[i, "N"]) @@ -194,18 +335,36 @@ def tune(self, untunedf, tunedf, args): for kernel_id, ki in pipe.kernels_list.items() if pipe.fits(ki, M, N, K) ] - for kernel_id, ki in cands: + runs = [ + (kernel_id, ki.split_k, ki.name, run_gemm_flydsl) + for kernel_id, ki in cands + ] + if self._mxscale_table: + near = [ + name + for mm, name in seeds.get((N, K, block), ()) + if M / 2 <= mm <= M * 2 + ] + for j, name in enumerate(bmm_candidates(M, N, K, block, near)): + from aiter.ops.flydsl.batched_gemm_a8w8_gfx950 import ( + parse_bmm_kernel_name, + ) + + splits = parse_bmm_kernel_name(name)["splits"] + runs.append((KERNEL_ID_BASE_BMM + j, splits, name, run_bmm_flydsl)) + for kernel_id, split_k, name, run in runs: # kernelName carries the full launch config (incl. split-K and # the pipeline), so dispatch never needs kernelId -- it is - # recorded for reference. - info = (info_keys, kernel_id, ki.split_k, ki.name, "flydsl") + # recorded for reference (or, with --mxscale_table, replaced by + # the backend's tag). + info = (info_keys, kernel_id, split_k, name, "flydsl") task.append( ( info, generate_data, (M, N, K, seed, block), - run_gemm_flydsl, - (gemm_keys, ki.name), + run, + (gemm_keys, name), dict(run_kwargs), run_torch, ref_args, @@ -218,6 +377,7 @@ def tune(self, untunedf, tunedf, args): ("out",), ) ) + cands = runs if not cands: logger.warning(f"no mxfp8 {block} kernel fits M={M} N={N} K={K}") tasks_data.append((len(cands), ())) @@ -242,6 +402,12 @@ def result_to_df(self, results): keys, kernelId, splitK, kernelName, libtype = info if time in (self.INVALID_TIME, self.INF_TIME): kernelName = "None" + elif getattr(self, "_mxscale_table", False): + kernelId = ( + MXSCALE_BMM_KERNEL_ID + if kernelId >= KERNEL_ID_BASE_BMM + else MXSCALE_KERNEL_ID + ) tflops, bw = self.calculate(el) key_dict = dict(zip(self.keys, keys)) if len(results) == self.topk: diff --git a/op_tests/test_gemm_a8w8_blockscale.py b/op_tests/test_gemm_a8w8_blockscale.py index 5a0845ee3af..204e34868cd 100644 --- a/op_tests/test_gemm_a8w8_blockscale.py +++ b/op_tests/test_gemm_a8w8_blockscale.py @@ -20,12 +20,7 @@ from aiter.benchmark_reporting import print_json_table from aiter.jit.utils.chip_info import get_gfx_runtime as get_gfx from aiter.ops.gemm_op_a8w8 import gemm_a8w8_blockscale_ck, gemm_a8w8_blockscale_cktile -from aiter.ops.shuffle import ( - shuffle_mxfp8fp4_a, - shuffle_scale_blockscale_a, - shuffle_scale_blockscale_b, - shuffle_weight, -) +from aiter.ops.shuffle import shuffle_mxfp8fp4_a, shuffle_weight from aiter.test_common import benchmark, checkAllclose, perftest from aiter.utility import fp4_utils @@ -157,17 +152,9 @@ def test_gemm( x_scale_t = x_scale.transpose(0, 1).contiguous().view(*x_scale.shape) gemm_weight = shuffle_weight(weight, layout=(16, 16)) if ck_preshuffle else weight - if use_flydsl_fp8_scale and get_gfx() == "gfx950": - gemm_x_scale = shuffle_scale_blockscale_a(x_scale, k) - gemm_w_scale = shuffle_scale_blockscale_b(w_scale, n, k) - elif use_flydsl_fp8_scale: - gemm_x_scale = x_scale_t if get_gfx() == "gfx1250" else x_scale - gemm_w_scale = w_scale - else: - gemm_x_scale = x_scale_t if ck_preshuffle else x_scale - gemm_w_scale = w_scale + gemm_x_scale = x_scale_t if ck_preshuffle else x_scale run_func = run_gemm_bpreshuffle if ck_preshuffle else run_gemm - b, avg_b = run_func(x, gemm_weight, gemm_x_scale, gemm_w_scale, dtype) + b, avg_b = run_func(x, gemm_weight, gemm_x_scale, w_scale, dtype) err_ck = checkAllclose(a, b, msg="ck", catastrophic_check=True) if ck_preshuffle and not use_flydsl_fp8_scale: diff --git a/op_tests/test_gemm_group32_interface.py b/op_tests/test_gemm_group32_interface.py index 0af137e9530..fe5bf272d7a 100644 --- a/op_tests/test_gemm_group32_interface.py +++ b/op_tests/test_gemm_group32_interface.py @@ -299,8 +299,8 @@ def test_mxscale_bpreshuffle_route(monkeypatch, row, block): calls = [] - def lookup(m, n, k, w_scale_block, bmm): - calls.append(("lookup", m, n, k, w_scale_block, bmm)) + def lookup(m, n, k, w_scale_block): + calls.append(("lookup", m, n, k, w_scale_block)) return row def run(x, w, xs, ws, out, kernel_name=None, x_scale_transposed=False): @@ -316,7 +316,7 @@ def run(x, w, xs, ws, out, kernel_name=None, x_scale_transposed=False): kb = 512 // block assert y.shape == (3, 256) and y.dtype == torch.bfloat16 assert calls == [ - ("lookup", 3, 256, 512, f"{block}x{block}", True), + ("lookup", 3, 256, 512, f"{block}x{block}"), ( "bmm", (3, 1, 512), @@ -334,7 +334,7 @@ def test_mxscale_bpreshuffle_rejects_unknown_implementation(monkeypatch): monkeypatch.setattr( gemm_op_a8w8, "get_mxscale_bpreshuffle_config", - lambda *a, **kw: {**BMM_ROW, "kernelId": "other"}, + lambda *args: {**BMM_ROW, "kernelId": "other"}, ) with pytest.raises(NotImplementedError, match="flydsl/other"): gemm_op_a8w8.gemm_a8w8_blockscale_bpreshuffle(*_mxscale_operands()) @@ -342,9 +342,7 @@ def test_mxscale_bpreshuffle_rejects_unknown_implementation(monkeypatch): def test_mxscale_bpreshuffle_rejects_row_scales(monkeypatch): monkeypatch.setattr(gemm_op_a8w8, "get_gfx", lambda: "gfx950") - monkeypatch.setattr( - gemm_op_a8w8, "get_mxscale_bpreshuffle_config", lambda *a, **kw: None - ) + monkeypatch.setattr(gemm_op_a8w8, "get_mxscale_bpreshuffle_config", lambda *a: None) with pytest.raises(NotImplementedError, match="1x32"): gemm_op_a8w8.gemm_a8w8_blockscale_bpreshuffle(*_mxscale_operands(w_rows=1)) @@ -423,9 +421,7 @@ def _assert_matches(out, ref): ) @pytest.mark.parametrize("row", [None, BMM_ROW]) def test_mxscale_bpreshuffle_matches_dequant(monkeypatch, m, n, k, block, row): - monkeypatch.setattr( - gemm_op_a8w8, "get_mxscale_bpreshuffle_config", lambda *a, **kw: row - ) + monkeypatch.setattr(gemm_op_a8w8, "get_mxscale_bpreshuffle_config", lambda *a: row) _assert_matches(*_mxscale_gemm_vs_dequant(m, n, k, block)) @@ -456,12 +452,52 @@ def test_mxscale_bpreshuffle_mid_dword_scale_rows(monkeypatch, m, k, config): 7168, k, 1, **parse_bmm_kernel_name(name), **blocks, x_scale_transposed=m > 1 ) row = {**BMM_ROW, "kernelName": name} - monkeypatch.setattr( - gemm_op_a8w8, "get_mxscale_bpreshuffle_config", lambda *a, **kw: row - ) + monkeypatch.setattr(gemm_op_a8w8, "get_mxscale_bpreshuffle_config", lambda *a: row) _assert_matches(*_mxscale_gemm_vs_dequant(m, 7168, k, 128)) +@pytest.mark.skipif( + not torch.cuda.is_available() or gemm_op_a8w8.get_gfx() != "gfx950", + reason="the preshuffled e8m0 GEMM runs on gfx950", +) +@pytest.mark.parametrize( + "m,n,k,block", + [ + (1, 1152, 5120, 32), + (37, 5120, 1536, 32), + (300, 512, 5120, 32), + (1, 6144, 7168, 128), + (37, 7168, 768, 128), + (300, 1536, 1024, 128), + (300, 7168, 384, 128), + ], +) +@pytest.mark.parametrize("kernel", ["mxpsh", "8wave"]) +def test_mxscale_bpreshuffle_mxfp8_rows(monkeypatch, m, n, k, block, kernel): + """A kernelId "mxfp8" row runs gfx950's mxpsh / 8-wave GEMM on the raw + scales bmm reads (32x32, or 128x128 with the column-major x_scale).""" + from aiter.ops.flydsl import batched_gemm_a8w8 + from aiter.ops.flydsl.gemm_a8w8_mxfp8_8wave import make_mxfp8_8wave_kernel_name + from aiter.ops.flydsl.mxscale_preshuffle_kernels import ( + pick_mxfp8_kernel_name_gfx950, + ) + + if kernel == "8wave": + if k % 256 or (block == 128 and k < 512): + pytest.skip("the 8-wave kernel needs K % 256 == 0 (and K >= 512 at 128)") + name = make_mxfp8_8wave_kernel_name(2, 0) + else: + name = pick_mxfp8_kernel_name_gfx950(m, n, k, f"{block}x{block}") + row = {"libtype": "flydsl", "kernelId": "mxfp8", "kernelName": name} + monkeypatch.setattr(gemm_op_a8w8, "get_mxscale_bpreshuffle_config", lambda *a: row) + + def no_bmm(*a, **kw): + raise AssertionError("an mxfp8 row must not run bmm") + + monkeypatch.setattr(batched_gemm_a8w8, "run_bmm_a8w8_mxfp8", no_bmm) + _assert_matches(*_mxscale_gemm_vs_dequant(m, n, k, block)) + + def _bmm_legal(n, k, block, **cfg): from aiter.ops.flydsl.kernels.bmm_a8w8_mxscale_gfx950 import check_bmm_config diff --git a/op_tests/tuning_tests/test_csv_validation.py b/op_tests/tuning_tests/test_csv_validation.py index 2edfe234a89..cac8ef6d735 100644 --- a/op_tests/tuning_tests/test_csv_validation.py +++ b/op_tests/tuning_tests/test_csv_validation.py @@ -91,9 +91,10 @@ def test_a8w8_blockscale_bpreshuffle_no_duplicates(self): self._check_no_duplicates("a8w8_blockscale_bpreshuffle", extra_keys=["libtype"]) def test_a8w8_blockscale_mxscale_bpreshuffle_no_duplicates(self): + # One row per shape and block: kernelId names the backend (bmm or mxfp8 + # on gfx950), not a second contract. self._check_no_duplicates( - "a8w8_blockscale_mxscale_bpreshuffle", - extra_keys=["w_scale_block", "kernelId", "libtype"], + "a8w8_blockscale_mxscale_bpreshuffle", extra_keys=["w_scale_block"] ) def test_a4w4_blockscale_no_duplicates(self):