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pytorch-cpu
v2.6.0
PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.
PyTorch 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.
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pixiaddpytorch-cpu
micromambainstall-c https://repo.prefix.dev/conda-forgepytorch-cpu
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Package Variants
filename | version | build | Created | size | Architecture | |
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pytorch-cpu-2.6.0-cpu_mkl_py39_h6334fc9_103.conda | 2.6.0 | cpu_mkl_py39_h6334fc9_103 (103) | 4 days ago | 49.87 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py310_h6334fc9_103.conda | 2.6.0 | cpu_mkl_py310_h6334fc9_103 (103) | 4 days ago | 49.84 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py311_h6334fc9_103.conda | 2.6.0 | cpu_mkl_py311_h6334fc9_103 (103) | 3 days ago | 49.82 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py313_h6334fc9_103.conda | 2.6.0 | cpu_mkl_py313_h6334fc9_103 (103) | 3 days ago | 49.88 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py312_h6334fc9_103.conda | 2.6.0 | cpu_mkl_py312_h6334fc9_103 (103) | 4 days ago | 49.98 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_h8b52ce0_103.conda | 2.6.0 | cpu_mkl_h8b52ce0_103 (103) | 4 days ago | 50.55 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_hc60beec_103.conda | 2.6.0 | cpu_mkl_hc60beec_103 (103) | 4 days ago | 49.54 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py311_h6334fc9_102.conda | 2.6.0 | cpu_mkl_py311_h6334fc9_102 (102) | 15 days ago | 47.28 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py313_h6334fc9_102.conda | 2.6.0 | cpu_mkl_py313_h6334fc9_102 (102) | 15 days ago | 47.24 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py39_h6334fc9_102.conda | 2.6.0 | cpu_mkl_py39_h6334fc9_102 (102) | 15 days ago | 47.25 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_h8b52ce0_102.conda | 2.6.0 | cpu_mkl_h8b52ce0_102 (102) | 15 days ago | 47.83 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py312_h6334fc9_102.conda | 2.6.0 | cpu_mkl_py312_h6334fc9_102 (102) | 14 days ago | 47.25 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py310_h6334fc9_102.conda | 2.6.0 | cpu_mkl_py310_h6334fc9_102 (102) | 15 days ago | 47.11 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_hc60beec_102.conda | 2.6.0 | cpu_mkl_hc60beec_102 (102) | 15 days ago | 46.8 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py312_h6334fc9_101.conda | 2.6.0 | cpu_mkl_py312_h6334fc9_101 (101) | 19 days ago | 46.98 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py311_h6334fc9_101.conda | 2.6.0 | cpu_mkl_py311_h6334fc9_101 (101) | 19 days ago | 47.08 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_h8b52ce0_101.conda | 2.6.0 | cpu_mkl_h8b52ce0_101 (101) | 19 days ago | 47.5 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py313_h6334fc9_101.conda | 2.6.0 | cpu_mkl_py313_h6334fc9_101 (101) | 19 days ago | 46.97 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py39_h6334fc9_101.conda | 2.6.0 | cpu_mkl_py39_h6334fc9_101 (101) | 19 days ago | 47.01 KB | ||
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pytorch-cpu-2.6.0-cpu_mkl_py310_h6334fc9_101.conda | 2.6.0 | cpu_mkl_py310_h6334fc9_101 (101) | 19 days ago | 47.03 KB | ||
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