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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.
Install
pixiaddpytorch-gpu
micromambainstall-c https://repo.prefix.dev/conda-forgepytorch-gpu
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Package Variants
filename | version | build | Created | size | Architecture | |
---|---|---|---|---|---|---|
pytorch-gpu-2.6.0-cuda126_mkl_h94247af_301.conda | 2.6.0 | cuda126_mkl_h94247af_301 (301) | 3 days ago | 47.48 KB | ||
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pytorch-gpu-2.6.0-cuda126_mkl_ha999a5f_301.conda | 2.6.0 | cuda126_mkl_ha999a5f_301 (301) | 3 days ago | 46.76 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_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_generic_h9f17e3a_201.conda | 2.6.0 | cuda126_generic_h9f17e3a_201 (201) | 3 days ago | 46.71 KB | ||
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pytorch-gpu-2.6.0-cuda126_generic_hbf71451_201.conda | 2.6.0 | cuda126_generic_hbf71451_201 (201) | 3 days ago | 46.73 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_h94247af_315.conda | 2.5.1 | cuda126_mkl_h94247af_315 (315) | a day 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) | a day ago | 49.4 KB | ||
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pytorch-gpu-2.5.1-cuda126_mkl_h94247af_314.conda | 2.5.1 | cuda126_mkl_h94247af_314 (314) | a month ago | 49.97 KB | ||
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pytorch-gpu-2.5.1-cuda126_mkl_h94247af_313.conda | 2.5.1 | cuda126_mkl_h94247af_313 (313) | a month ago | 49.71 KB | ||
Dependencies: | ||||||
pytorch-gpu-2.5.1-cuda126_mkl_ha999a5f_313.conda | 2.5.1 | cuda126_mkl_ha999a5f_313 (313) | a month ago | 49.02 KB | ||
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pytorch-gpu-2.5.1-cuda126_mkl_h94247af_312.conda | 2.5.1 | cuda126_mkl_h94247af_312 (312) | a month ago | 50.73 KB | ||
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pytorch-gpu-2.5.1-cuda126_mkl_h94247af_311.conda | 2.5.1 | cuda126_mkl_h94247af_311 (311) | a month ago | 41.76 KB | ||
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pytorch-gpu-2.5.1-cuda126_mkl_ha999a5f_310.conda | 2.5.1 | cuda126_mkl_ha999a5f_310 (310) | 2 months ago | 36.39 KB | ||
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pytorch-gpu-2.5.1-cuda126_mkl_h94247af_310.conda | 2.5.1 | cuda126_mkl_h94247af_310 (310) | a month ago | 37.04 KB | ||
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pytorch-gpu-2.5.1-cuda126_mkl_h94247af_309.conda | 2.5.1 | cuda126_mkl_h94247af_309 (309) | 2 months ago | 36.04 KB | ||
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pytorch-gpu-2.5.1-cuda126_mkl_ha999a5f_309.conda | 2.5.1 | cuda126_mkl_ha999a5f_309 (309) | 2 months ago | 35.25 KB | ||
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pytorch-gpu-2.5.1-cuda126_mkl_ha999a5f_308.conda | 2.5.1 | cuda126_mkl_ha999a5f_308 (308) | 2 months ago | 31.08 KB | ||
Dependencies: |