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5 changes: 3 additions & 2 deletions csrc/trtllm_batched_gemm_runner.cu
Original file line number Diff line number Diff line change
Expand Up @@ -258,8 +258,9 @@ void TrtllmGenBatchedGemmRunner::run(
// FIXME once we start using all-reduce in the epilogue of the bmm this can be moved elsewhere
bmm.runInitBeforeWorldSync(config, gemmData, static_cast<void*>(stream));

auto const err = bmm.run(config, workspace, gemmData, static_cast<void*>(stream),
multiProcessorCount, enable_pdl, globalTrtllmGenBatchedGemmModuleCache);
auto const err =
bmm.run(config, workspace, gemmData, static_cast<void*>(stream), multiProcessorCount,
enable_pdl, /*pinnedHostBuffer=*/nullptr, globalTrtllmGenBatchedGemmModuleCache);

FLASHINFER_CHECK(err == 0,
"Error occurred when running GEMM!"
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6 changes: 3 additions & 3 deletions flashinfer/artifacts.py
Original file line number Diff line number Diff line change
Expand Up @@ -137,10 +137,10 @@ class ArtifactPath:

TRTLLM_GEN_FMHA: str = "e86f0e45764555d070c3d143b4caaea61a45b777/fmha/trtllm-gen/"
TRTLLM_GEN_BMM: str = (
"de418500652abd6325552396fc931d5165f12804/batched_gemm-2a674db-3a84a12/"
"b55211623be7f5697c5262ffd8361fc06c147bc9/batched_gemm-b3c1646-c111d7c/"
)
TRTLLM_GEN_GEMM: str = (
"1fddc48b7b48af33914d040051b3e2ee9ba4701e/gemm-145d1b1-9b113e3"
"1fddc48b7b48af33914d040051b3e2ee9ba4701e/gemm-145d1b1-9b113e3/"
)
CUDNN_SDPA: str = "a72d85b019dc125b9f711300cb989430f762f5a6/fmha/cudnn/"
# For DEEPGEMM, we also need to update KernelMap.KERNEL_MAP_HASH in flashinfer/deep_gemm.py
Expand All @@ -158,7 +158,7 @@ class CheckSumHash:
"c4c93904a4c72b8a3d0d5c525c6decb71c835b477d7d75651ecaaa7007c5a3ef"
)
TRTLLM_GEN_BMM: str = (
"69ade639fa6640ea90261599581c8cda50f8f6b9ac9be07a3ca38f3bf5458452"
"0af823880730c4f0b3832d2208fab035946694b83444410b9309db5613d60195"
)
DEEPGEMM: str = "1a2a166839042dbd2a57f48051c82cd1ad032815927c753db269a4ed10d0ffbf"
TRTLLM_GEN_GEMM: str = (
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