Tensors and Dynamic neural networks in Python with strong GPU acceleration - [cuDNN][SDPA] Remove `TORCH_CUDNN_SDPA_ENABLED=1`, enable cuDNN SDPA …· pytorch/pytorch@f845a7a
bool check_runtime_enabled_cudnn(sdp_params const& params, bool debug) { static c10::once_flag supported_flag; static bool supported = false; c10::call_once(supported_flag, []() { supported = (c10::utils::check_env("TORCH_CUDNN_SDPA_ENABLED") == true); }); if (!supported) { ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [cuDNN][SDPA] Remove `TORCH_CUDNN_SDPA_ENABLED=1`, enable cuDNN SDPA by default on H100 and 2nd on other archs >= sm80 · pytorch/pytorch@fe4032f
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [cuDNN][SDPA] Remove `TORCH_CUDNN_SDPA_ENABLED=1`, enable cuDNN SDPA by default on H100 and 2nd on other archs >= sm80 · pytorch/pytorch@26d633b
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Revert "[cuDNN][SDPA] Remove `TORCH_CUDNN_SDPA_ENABLED=1`, enable cuD… · pytorch/pytorch@999eec8
[cuDNN][SDPA] Remove TORCH_CUDNN_SDPA_ENABLED=1, enable cuDNN SDPA by default on H100 and 2nd on other archs >= sm80 (#125343) eqyauthored and pytorchmergebotcommittedJul 1, 2024 · 237 / 248 f845a7a Commits on Jun 28, 2024 Revert "[cuDNN][SDPA] Remove TORCH_CUDNN_SDPA_ENAB...
core: 2 Core(s) per socket: 64 Socket(s): 1 NUMA node(s): 1 Vendor ID: AuthenticAMD CPU family: 23 Model: 49 Model name: AMD EPYC 7742 64-Core Processor Stepping: 0 Frequency boost: enabled CPU MHz: 1879.127 CPU max MHz: 2250,0000 CPU min MHz: 1500,0000 BogoMIPS: 4491.21 ...
🐛 Describe the bug Hi, Investigating why a model implementation using SDPA vs no SDPA was not yielding the exact same output using fp16 with the math backend, I pinned it down to a different behavior of torch.softmax(inp, dtype=torch.flo...
(sdpa_out,flex_out)mha_out,_=self.mha(x,x,x,need_weights=False,attn_mask=Noneifself.attn_maskisNoneelse~self.attn_mask)torch.testing.assert_close(sdpa_out,mha_out)returnmha_outdefmain():args=parser.parse_args()forargs.test_flex_attention,args.mask,args.compile,args.high_precisionin...
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