usp=sharing For C++ stack trace, run with TORCHDYNAMO_EXTENDED_DEBUG_CPP=1 To execute this test, run the following from the base repo dir: python test/export/test_export.py TestExport.test_crash_real_tensor This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 --- Ra...
(nonzero,), self._out_spec) # To see more debug info, please use `graph_module.print_readable()` --- TorchRuntimeError Traceback (most recent call last) [<ipython-input-3-22ecf2d35cfd>](https://localhost:8080/#) in <cell line: 11>() 9 exported_m.compile() 10 print(exported_...
=1, TORCH_VERSION=1.9.0, USE_CUDA=0, USE_CUDNN=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON,
PyTorch has minimal framework overhead. We integrate acceleration libraries such asIntel MKLand NVIDIA (cuDNN,NCCL) to maximize speed. At the core, its CPU and GPU Tensor and neural network backends are mature and have been tested for years. ...
MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=...
PyTorch has minimal framework overhead. We integrate acceleration libraries such asIntel MKLand NVIDIA (cuDNN,NCCL) to maximize speed. At the core, its CPU and GPU Tensor and neural network backends are mature and have been tested for years. ...
DebugPlane: add dump_traceback handler (pytorch#128904) Jun 18, 2024 defs.bzl [CUDNN] Remove defunct cuDNN V8 API build flag (pytorch#120006) Jun 4, 2024 docker.Makefile [BE]: Update cudnn to 9.1.0.70 (pytorch#123475) Jun 7, 2024 mypy-strict.ini Use strict to toggle strict options...
We integrate acceleration libraries such as Intel MKL and NVIDIA (cuDNN, NCCL) to maximize speed. At the core, its CPU and GPU Tensor and neural network backends are mature and have been tested for years.Hence, PyTorch is quite fast — whether you run small or large neural networks....
PyTorch has minimal framework overhead. We integrate acceleration libraries such asIntel MKLand NVIDIA (cuDNN,NCCL) to maximize speed. At the core, its CPU and GPU Tensor and neural network backends are mature and have been tested for years. ...
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