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pytorch-gpu
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-gpumicromambainstall-c https://repo.prefix.dev/conda-forgepytorch-gpuVersion
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Package Variants
| filename | version | build | Created | size | Architecture | |
|---|---|---|---|---|---|---|
pytorch-gpu-2.6.0-cuda126_mkl_h94247af_303.conda | 2.6.0 | cuda126_mkl_h94247af_303 (303) | 3 days ago | 50.56 KB | | |
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pytorch-gpu-2.6.0-cuda126_mkl_ha999a5f_303.conda | 2.6.0 | cuda126_mkl_ha999a5f_303 (303) | 3 days ago | 49.63 KB | | |
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pytorch-gpu-2.6.0-cuda126_mkl_ha999a5f_302.conda | 2.6.0 | cuda126_mkl_ha999a5f_302 (302) | 14 days ago | 46.83 KB | | |
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pytorch-gpu-2.6.0-cuda126_mkl_h94247af_302.conda | 2.6.0 | cuda126_mkl_h94247af_302 (302) | 14 days ago | 47.75 KB | | |
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pytorch-gpu-2.6.0-cuda126_mkl_ha999a5f_301.conda | 2.6.0 | cuda126_mkl_ha999a5f_301 (301) | 19 days ago | 46.76 KB | | |
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pytorch-gpu-2.6.0-cuda126_mkl_h94247af_301.conda | 2.6.0 | cuda126_mkl_h94247af_301 (301) | 19 days ago | 47.48 KB | | |
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pytorch-gpu-2.6.0-cuda126_mkl_ha999a5f_300.conda | 2.6.0 | cuda126_mkl_ha999a5f_300 (300) | a month ago | 46.33 KB | | |
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pytorch-gpu-2.6.0-cuda126_mkl_h94247af_300.conda | 2.6.0 | cuda126_mkl_h94247af_300 (300) | a month ago | 47.06 KB | | |
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pytorch-gpu-2.6.0-cuda126_generic_h9f17e3a_203.conda | 2.6.0 | cuda126_generic_h9f17e3a_203 (203) | 3 days ago | 49.59 KB | | |
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pytorch-gpu-2.6.0-cuda126_generic_hbf71451_203.conda | 2.6.0 | cuda126_generic_hbf71451_203 (203) | 3 days ago | 49.8 KB | | |
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pytorch-gpu-2.6.0-cuda126_generic_h9f17e3a_202.conda | 2.6.0 | cuda126_generic_h9f17e3a_202 (202) | 14 days ago | 46.94 KB | | |
Dependencies: | ||||||
pytorch-gpu-2.6.0-cuda126_generic_hbf71451_202.conda | 2.6.0 | cuda126_generic_hbf71451_202 (202) | 14 days ago | 46.89 KB | | |
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pytorch-gpu-2.6.0-cuda126_generic_hbf71451_201.conda | 2.6.0 | cuda126_generic_hbf71451_201 (201) | 19 days ago | 46.73 KB | | |
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pytorch-gpu-2.6.0-cuda126_generic_h9f17e3a_201.conda | 2.6.0 | cuda126_generic_h9f17e3a_201 (201) | 19 days ago | 46.71 KB | | |
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pytorch-gpu-2.6.0-cuda126_generic_hbf71451_200.conda | 2.6.0 | cuda126_generic_hbf71451_200 (200) | a month ago | 46.46 KB | | |
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pytorch-gpu-2.6.0-cuda126_generic_h9f17e3a_200.conda | 2.6.0 | cuda126_generic_h9f17e3a_200 (200) | a month ago | 46.36 KB | | |
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pytorch-gpu-2.5.1-cuda126_mkl_ha999a5f_316.conda | 2.5.1 | cuda126_mkl_ha999a5f_316 (316) | 14 days ago | 49.64 KB | | |
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pytorch-gpu-2.5.1-cuda126_mkl_h94247af_316.conda | 2.5.1 | cuda126_mkl_h94247af_316 (316) | 14 days ago | 50.6 KB | | |
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pytorch-gpu-2.5.1-cuda126_mkl_h94247af_315.conda | 2.5.1 | cuda126_mkl_h94247af_315 (315) | 17 days ago | 50.21 KB | | |
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pytorch-gpu-2.5.1-cuda126_mkl_ha999a5f_315.conda | 2.5.1 | cuda126_mkl_ha999a5f_315 (315) | 17 days ago | 49.4 KB | | |
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