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CUDA enabled pytorch env with pixi
Raw
README.md

Minimal PyTorch CUDA environment with pixi

Based off of the pixi docs example

Steps

  1. Install pixi
    • curl -fsSL https://pixi.sh/install.sh | bash
  2. pixi run detect-gpu
    • If this is your first time doing anything in the environment pixi will run pixi install for you first.
  3. pixi run mnist-test

Use the environment interactively

Either use pixi shell to get a shell or use pixi run '<your commands here>' to have pixi run things inside of the environment.

Raw
pixi.lock
version: 5
environments:
default:
channels:
- url: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/
- url: https://conda.anaconda.org/nvidia/
- url: https://conda.anaconda.org/conda-forge/
- url: https://conda.anaconda.org/pytorch/
packages:
linux-64:
- conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
- conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_kmp_llvm.tar.bz2
- conda: https://conda.anaconda.org/conda-forge/linux-64/aom-3.9.0-hac33072_0.conda
- conda: https://conda.anaconda.org/conda-forge/linux-64/blas-1.0-mkl.tar.bz2
- conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py311hb755f60_1.conda
- conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda
- conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.28.1-hd590300_0.conda
- conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda
- conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-h3faef2a_0.conda
- conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
- conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-11.8.0-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-cccl-11.8.89-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-command-line-tools-11.8.0-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-compiler-11.8.0-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-cudart-11.8.89-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-cudart-dev-11.8.89-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-cuobjdump-11.8.86-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-cupti-11.8.87-0.tar.bz2
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- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-memcheck-11.8.86-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-nsight-11.8.86-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-nsight-compute-11.8.0-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-nvcc-11.8.89-0.tar.bz2
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- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-nvprune-11.8.86-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-nvrtc-11.8.89-0.tar.bz2
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- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-nvtx-11.8.86-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-nvvp-11.8.87-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-profiler-api-11.8.86-0.tar.bz2
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- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-tools-11.8.0-0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/cuda-visual-tools-11.8.0-0.tar.bz2
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- conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.14.2-h14ed4e7_0.conda
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- conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
- conda: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda
- conda: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.10-h36c2ea0_0.tar.bz2
- conda: https://conda.anaconda.org/nvidia/label/cuda-11.8.0/linux-64/gds-tools-1.4.0.31-0.tar.bz2
- conda: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.22.5-h59595ed_2.conda
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url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-h4ab18f5_6.conda
sha256: 534824ea44939f3e59ca8ebb95e3ece6f50f9d2a0e69999fbc692311252ed6ac
md5: 559d338a4234c2ad6e676f460a093e67
depends:
- libgcc-ng >=12
- libzlib 1.2.13 h4ab18f5_6
license: Zlib
license_family: Other
size: 92883
timestamp: 1716874088980
- kind: conda
name: zstd
version: 1.5.6
build: ha6fb4c9_0
subdir: linux-64
url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
sha256: c558b9cc01d9c1444031bd1ce4b9cff86f9085765f17627a6cd85fc623c8a02b
md5: 4d056880988120e29d75bfff282e0f45
depends:
- libgcc-ng >=12
- libstdcxx-ng >=12
- libzlib >=1.2.13,<2.0.0a0
license: BSD-3-Clause
license_family: BSD
size: 554846
timestamp: 1714722996770
Raw
pixi.toml
[project]
name = "pytorch_example"
version = "0.1.0"
description = "Add a short description here"
authors = ["Matthew Feickert <[email protected]>"]
channels = ["nvidia/label/cuda-11.8.0", "nvidia", "conda-forge", "pytorch"]
platforms = ["linux-64"]
[tasks]
detect-gpu = {cmd="""
curl -sLO https://raw.githubusercontent.com/matthewfeickert/nvidia-gpu-ml-library-test/main/torch_detect_GPU.py && \
python torch_detect_GPU.py
""", clean-env = true}
mnist-test = {cmd="""
curl -sLO https://raw.githubusercontent.com/matthewfeickert/nvidia-gpu-ml-library-test/main/torch_MNIST.py && \
python torch_MNIST.py
""", clean-env = true}
[dependencies]
python = "3.11.*"
cuda = {version = "*", channel="nvidia/label/cuda-11.8.0"}
pytorch = {version = "2.3.0.*", channel="pytorch"}
torchvision = {version = "0.18.0.*", channel="pytorch"}
pytorch-cuda = {version = "11.8.*", channel="pytorch"}
curl = ">=8.8.0,<8.9"
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