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[ROCm][Inductor]Fixing missing ck package warning when the backend is disabled by tenpercent · Pull Request #139790 · pytorch/pytorch · GitHub
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[ROCm][Inductor]Try fixing missing ck package warning when the backend is disabled
[ROCm][Inductor]Fixing missing ck package warning when the backend is disabled
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[ROCm][Inductor]Fixing missing ck package warning when the backend is disabled #139790
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/139790
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 6836d15 with merge base b9618c9 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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… disabled (pytorch#139790) ``` test_addmm_multiple_dynamic_cuda (__main__.AOTInductorTestABICompatibleCuda) ... W1101 10:26:20.492000 1361741 torch/_inductor/utils.py:1207] Please pip install Composable Kernel package AUTOTUNE addmm(16x6, 16x16, 16x6) triton_mm_0 0.0104 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, matrix_instr_nonkdim=0, num_stages=2, num_warps=1 triton_mm_1 0.0104 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, matrix_instr_nonkdim=16, num_stages=2, num_warps=1 SingleProcess AUTOTUNE benchmarking takes 0.2182 seconds and 0.2979 seconds precompiling for 2 choices ``` This PR disables the warning message when the CK backend is disabled Pull Request resolved: pytorch#139790 Approved by: https://github.com/ColinPeppler, https://github.com/chenyang78
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… disabled (pytorch#139790) ``` test_addmm_multiple_dynamic_cuda (__main__.AOTInductorTestABICompatibleCuda) ... W1101 10:26:20.492000 1361741 torch/_inductor/utils.py:1207] Please pip install Composable Kernel package AUTOTUNE addmm(16x6, 16x16, 16x6) triton_mm_0 0.0104 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, matrix_instr_nonkdim=0, num_stages=2, num_warps=1 triton_mm_1 0.0104 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, matrix_instr_nonkdim=16, num_stages=2, num_warps=1 SingleProcess AUTOTUNE benchmarking takes 0.2182 seconds and 0.2979 seconds precompiling for 2 choices ``` This PR disables the warning message when the CK backend is disabled Pull Request resolved: pytorch#139790 Approved by: https://github.com/ColinPeppler, https://github.com/chenyang78
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… disabled (pytorch#139790) ``` test_addmm_multiple_dynamic_cuda (__main__.AOTInductorTestABICompatibleCuda) ... W1101 10:26:20.492000 1361741 torch/_inductor/utils.py:1207] Please pip install Composable Kernel package AUTOTUNE addmm(16x6, 16x16, 16x6) triton_mm_0 0.0104 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, matrix_instr_nonkdim=0, num_stages=2, num_warps=1 triton_mm_1 0.0104 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, matrix_instr_nonkdim=16, num_stages=2, num_warps=1 SingleProcess AUTOTUNE benchmarking takes 0.2182 seconds and 0.2979 seconds precompiling for 2 choices ``` This PR disables the warning message when the CK backend is disabled Pull Request resolved: pytorch#139790 Approved by: https://github.com/ColinPeppler, https://github.com/chenyang78
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Dec 11, 2024
… disabled (pytorch#139790) ``` test_addmm_multiple_dynamic_cuda (__main__.AOTInductorTestABICompatibleCuda) ... W1101 10:26:20.492000 1361741 torch/_inductor/utils.py:1207] Please pip install Composable Kernel package AUTOTUNE addmm(16x6, 16x16, 16x6) triton_mm_0 0.0104 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, matrix_instr_nonkdim=0, num_stages=2, num_warps=1 triton_mm_1 0.0104 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, matrix_instr_nonkdim=16, num_stages=2, num_warps=1 SingleProcess AUTOTUNE benchmarking takes 0.2182 seconds and 0.2979 seconds precompiling for 2 choices ``` This PR disables the warning message when the CK backend is disabled Pull Request resolved: pytorch#139790 Approved by: https://github.com/ColinPeppler, https://github.com/chenyang78
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This PR disables the warning message when the CK backend is disabled
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov