python-pytorch 2.4.0
Dependencies: asmjit@0.0.0-1.062e69c brotli@1.0.9 clog@0.0-3.05332fd cpp-httplib@0.16.0 eigen@3.4.0 flatbuffers@24.3.25 fmt@9.1.0 foxi@1.4.1-0.c278588 fp16@0.0-1.0a92994 fxdiv@0.0-1.63058ef gemmlowp@0.1-1.08e4bb3 gloo@0.0.0-2.81925d1 googletest@1.12.1 googlebenchmark@1.8.3 libuv@1.44.2 miniz@pytorch-2.2.0 oneapi-dnnl@3.5.3 openblas@0.3.20 openmpi@4.1.6 openssl@3.0.8 pthreadpool@0.1-3.560c60d protobuf@3.21.9 pybind11@2.8.1 qnnpack-pytorch@pytorch-2.4.0 sleef@3.6.1 tensorpipe@0-0.bb1473a vulkan-headers@1.3.280.0 vulkan-loader@1.3.280.0 vulkan-memory-allocator@3.0.1 xnnpack@0.0-3.08f1489 zlib@1.3 zstd@1.5.2
Propagated dependencies: cpuinfo@0.0-3.05332fd onnx@1.16.2 onnx-optimizer@0.3.19 python-astunparse@1.6.3 python-click@8.1.7 python-filelock@3.0.12 python-fsspec@2023.5.0 python-future@0.18.2 python-jinja2@3.1.2 python-networkx@2.8.6 python-numpy@1.23.2 python-opt-einsum@3.3.0 python-optree@0.11.0 python-packaging@21.3 python-psutil@5.9.2 python-pyyaml@6.0.1 python-requests@2.28.1 python-sympy@1.11.1 python-typing-extensions@4.9.0
Channel: guix
Home page: https://pytorch.org/
Licenses: Modified BSD
Synopsis: Python library for tensor computation and deep neural networks
Description:
PyTorch is a Python package that provides two high-level features:
tensor computation (like NumPy) with strong GPU acceleration;
deep neural networks (DNNs) built on a tape-based autograd system.
You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
Note: currently this package does not provide GPU support.
python-pytorch 2.0.1
Dependencies: qnnpack@0-0.7d2a4e9 asmjit@0.0.0-1.062e69c brotli@1.0.9 clog@0.0-3.05332fd cpp-httplib@0.16.0 eigen@3.4.0 flatbuffers@24.3.25 fmt@9.1.0 foxi@1.4.1-0.c278588 fp16@0.0-1.0a92994 fxdiv@0.0-1.63058ef gemmlowp@0.1-1.08e4bb3 gloo@0.0.0-2.81925d1 googletest@1.12.1 googlebenchmark@1.8.3 libuv@1.44.2 miniz@pytorch-2.2.0 oneapi-dnnl@2.7.3 openblas@0.3.20 openmpi@4.1.6 openssl@3.0.8 pthreadpool@0.1-3.560c60d protobuf@3.21.9 pybind11@2.8.1 qnnpack-pytorch@pytorch-2.0.1 sleef@3.6.1 tensorpipe@0-0.bb1473a vulkan-headers@1.3.280.0 vulkan-loader@1.3.280.0 vulkan-memory-allocator@3.0.1 xnnpack@0.0-2.51a9875 zlib@1.3 zstd@1.5.2
Propagated dependencies: cpuinfo@0.0-3.05332fd onnx@1.16.2 onnx-optimizer@0.3.19 python-astunparse@1.6.3 python-click@8.1.7 python-filelock@3.0.12 python-fsspec@2023.5.0 python-future@0.18.2 python-jinja2@3.1.2 python-networkx@2.8.6 python-numpy@1.23.2 python-opt-einsum@3.3.0 python-optree@0.11.0 python-packaging@21.3 python-psutil@5.9.2 python-pyyaml@6.0.1 python-requests@2.28.1 python-sympy@1.11.1 python-typing-extensions@4.9.0 python-filelock@3.0.12 python-jinja2@3.1.2 python-networkx@2.8.6 python-opt-einsum@3.3.0 python-sympy@1.11.1
Channel: guix
Home page: https://pytorch.org/
Licenses: Modified BSD
Synopsis: Python library for tensor computation and deep neural networks
Description:
PyTorch is a Python package that provides two high-level features:
tensor computation (like NumPy) with strong GPU acceleration;
deep neural networks (DNNs) built on a tape-based autograd system.
You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
Note: currently this package does not provide GPU support.
Total results: 5