python-pytorchvideosrcc975282c052d8bc0fb1cfe80e48f372cb0fb701687ba373def02be70c984fe78pytorchvideo summaryfacebook research pytorchvideohttps://pytorchvideo.org/Apache-2.0openEuler Copr - user liuming9157Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00211773-20240331-09373python-pytorchvideo-debuginfox86_64457bc80e80992c1397e89c52782d89503918be87586a006000eef44bfdc30a09Debug information for package python-pytorchvideoThis package provides debug information for package python-pytorchvideo.
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package or when debugging this package.https://pytorch.org/vision/stable/index.htmlBSD 3-ClauseopenEuler Copr - user liuming9157Development/Debugeur-prod-workerlocal-x86-64-normal-prod-00211768-20240331-09322python-torchvision-0.16.2-1.src.rpmpython-torchvision-debugsourcex86_64ef9ca5960315165c714e5c283fc9b482b97668d2a2e002ea1940df473636ac3dDebug sources for package python-torchvisionThis package provides debug sources for package python-torchvision.
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package or when debugging this package.https://pytorch.org/vision/stable/index.htmlBSD 3-ClauseopenEuler Copr - user liuming9157Development/Debugeur-prod-workerlocal-x86-64-normal-prod-00211768-20240331-09322python-torchvision-0.16.2-1.src.rpmpython3-pytorchx86_64616ea31a93931ca1b251ffd37974638f25745f8bca42b8a6c6f2a571f145ab72Tensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.https://pytorch.org/BSD-3openEuler Copr - user liuming9157Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00211728-20240331-04262pytorch-2.0.1-2.src.rpm/usr/bin/convert-caffe2-to-onnx/usr/bin/convert-onnx-to-caffe2/usr/bin/torchrun/usr/lib64/python3.11/site-packages/torch/bin/FileStoreTest/usr/lib64/python3.11/site-packages/torch/bin/HashStoreTest/usr/lib64/python3.11/site-packages/torch/bin/TCPStoreTest/usr/lib64/python3.11/site-packages/torch/bin/protoc/usr/lib64/python3.11/site-packages/torch/bin/protoc-3.13.0.0/usr/lib64/python3.11/site-packages/torch/bin/test_api/usr/lib64/python3.11/site-packages/torch/bin/test_cpp_rpc/usr/lib64/python3.11/site-packages/torch/bin/test_dist_autograd/usr/lib64/python3.11/site-packages/torch/bin/test_edge_op_registration/usr/lib64/python3.11/site-packages/torch/bin/test_jit/usr/lib64/python3.11/site-packages/torch/bin/test_lazy/usr/lib64/python3.11/site-packages/torch/bin/test_tensorexpr/usr/lib64/python3.11/site-packages/torch/bin/torch_shm_manager/usr/lib64/python3.11/site-packages/torch/bin/tutorial_tensorexprpython3-pytorchvideox86_641eb7cddd42a864369870ee55b42aeae055a463fa9975901687b4ac70ef90c3bcfacebook research pytorchvideopytorchvideo descriptionhttps://pytorchvideo.org/Apache-2.0openEuler Copr - user liuming9157Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00211773-20240331-09373python-pytorchvideo-0.1.3-1.src.rpmpython3-torchvisionx86_64dbf3f7dad5379eb28332e2435dd99f5011eacf2c7bcfa69583496b038544a5ecTensors and Dynamic neural networks in Python with strong GPU accelerationThe torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.https://pytorch.org/vision/stable/index.htmlBSD 3-ClauseopenEuler Copr - user liuming9157Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00211768-20240331-09322python-torchvision-0.16.2-1.src.rpmpytorchsrcc3a602b38e96742a1ea238dc7546b33d87e3dcd070b9c61cf949d1c060e80f3eTensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.https://pytorch.org/BSD-3openEuler Copr - user liuming9157Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00211728-20240331-04262pytorch-debuginfox86_64ebaeefcfe837d9f1a7ed1a93d2cced92e56b38b03f2db747fb91d0e0cb53accaDebug information for package pytorchThis package provides debug information for package pytorch.
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Debug sources are useful when developing applications that use this
package or when debugging this package.https://pytorch.org/BSD-3openEuler Copr - user liuming9157Development/Debugeur-prod-workerlocal-x86-64-normal-prod-00211728-20240331-04262pytorch-2.0.1-2.src.rpmpytorch-helpx86_64842b6ae035373a589fb1431b2e70bc4a501630e1865ce83a35d62754ca88180dDevelopment documents and examples for torchPyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.https://pytorch.org/BSD-3openEuler Copr - user liuming9157Unspecifiedeur-prod-workerlocal-x86-64-normal-prod-00211728-20240331-04262pytorch-2.0.1-2.src.rpm