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1 change: 0 additions & 1 deletion tests/integration/test_lists/waives.txt
Original file line number Diff line number Diff line change
Expand Up @@ -424,7 +424,6 @@ test_e2e.py::test_multi_nodes_eval[Kimi-K2-Thinking-NVFP4-tp16-mmlu] SKIP (https
test_e2e.py::test_multi_nodes_eval[MiniMax-M2-tp16-mmlu] SKIP (https://nvbugs/6373532)
test_e2e.py::test_multi_nodes_eval[MiniMax-M3-tp16-mmlu] SKIP (https://nvbugs/6373561)
test_e2e.py::test_ptp_quickstart_advanced_deepseek_r1_w4afp8_8gpus[DeepSeek-R1-W4AFP8-DeepSeek-R1/DeepSeek-R1-W4AFP8] SKIP (https://nvbugs/5836830)
unittest/_torch/attention/sparse/deepseek_v4/test_compressor_kernel.py::test_prefill_varlen[varlen_hd512_overlap] SKIP (https://nvbugs/6426860)
unittest/_torch/misc/test_share_tensor.py::TestShareTensor::test_share_tensor_different_dtypes SKIP (https://nvbugs/6418021)
unittest/_torch/modeling -k "modeling_qwen" SKIP (https://nvbugs/6433376)
unittest/_torch/modeling/test_modeling_qwen3_5_vl.py::test_qwen35_dense_vl_resolves_mamba_ssm_cache_dtype SKIP (https://nvbugs/6433376)
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Original file line number Diff line number Diff line change
Expand Up @@ -1223,8 +1223,10 @@ def test_prefill_varlen(seq_lens_list, compress_ratio, head_dim, overlap):

if valid_outputs:
out_kernel_valid = torch.cat(valid_outputs, dim=0)
# The CUDA and PyTorch reductions can round to adjacent BF16 values near a tie.
output_rtol = max(2e-3, torch.finfo(out_kernel_valid.dtype).eps)
assert torch.allclose(
out_py.to(out_kernel_valid.dtype), out_kernel_valid, rtol=2e-3, atol=5e-3
out_py.to(out_kernel_valid.dtype), out_kernel_valid, rtol=output_rtol, atol=5e-3
), (
f"Output mismatch: max diff = {(out_py.to(out_kernel_valid.dtype) - out_kernel_valid).abs().max():.6f}"
)
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