365 pytorch - configuration reference

366 pytorch — configuration reference

Configuration surfaces for pytorch (safety class: safe; category: o-05-ai-engineering-sdks-dev-env) — detected from the upstream documentation at generation time (15 config-surface markers). The invocation reference stays on the main tool page.

366.1 Configuration files

No config-file paths surfaced in the upstream README at generation time — the tool likely takes options through flags or environment instead; see upstream.

366.2 Environment variables

Variable Upstream context

CONDA_INSTALL_DIR ironment setup is shown below: * Linux: bash $ source <CONDA_INSTALL_DIR>/bin/activate $ conda create -y -n <CONDA_NAME> $ co | | `CONDA_NAME` | urce <CONDA_INSTALL_DIR>/bin/activate $ conda create -y -n <CONDA_NAME> $ conda activate <CONDA_NAME> * Windows: bash $ so | | `ROCM_PATH` | /rocm`. If ROCm is installed in a different directory, the `ROCM_PATH` environment variable must be set to the ROCm installation | | `USE_XPU` | cloning # For Intel GPU support, please explicitly `export USE_XPU=1` before running command. make triton On Windows

CMAKE_PREFIX_PATH ch ``bash # the CMake prefix for conda environment export CMAKE_PREFIX_PATH="${CONDA_PREFIX:-'$(dirname $(which conda))/../'}:${ | |CMAKE_INCLUDE_PATH| he library and set up the building environment by tweakingCMAKE_INCLUDE_PATHandLIB`. The instruction [here](https://docs.pyt

Variable	Upstream context
`CONDA_INSTALL_DIR`	ironment setup is shown below: * Linux: bash $ source <CONDA_INSTALL_DIR>/bin/activate $ conda create -y -n <CONDA_NAME> $ co \| \| `CONDA_NAME` \| urce <CONDA_INSTALL_DIR>/bin/activate $ conda create -y -n <CONDA_NAME> $ conda activate <CONDA_NAME> * Windows: bash $ so \| \| `ROCM_PATH` \| /rocm`. If ROCm is installed in a different directory, the `ROCM_PATH` environment variable must be set to the ROCm installation \| \| `USE_XPU` \| cloning # For Intel GPU support, please explicitly `export USE_XPU=1` before running command. make triton On Windows
`CMAKE_PREFIX_PATH`	ch ```bash # the CMake prefix for conda environment export CMAKE_PREFIX_PATH="${CONDA_PREFIX:-'$(dirname $(which conda))/../'}:${ \| \|`CMAKE_INCLUDE_PATH`\| he library and set up the building environment by tweaking`CMAKE_INCLUDE_PATH`and`LIB`. The instruction [here](https://docs.pyt

Names extracted heuristically from upstream docs — verify each against the tool’s own docs before use.

366.3 Sample configuration (upstream)

pip install mkl-static mkl-include
# CUDA only: Add LAPACK support for the GPU if needed
# magma installation: run with active conda environment. specify CUDA version to install
.ci/docker/common/install_magma_conda.sh 12.4

# (optional) If using torch.compile with inductor/triton, install the matching version of triton
# Run from the pytorch directory after cloning
# For Intel GPU support, please explicitly `export USE_XPU=1` before running command.
make triton

# the CMake prefix for conda environment
export CMAKE_PREFIX_PATH="${CONDA_PREFIX:-'$(dirname $(which conda))/../'}:${CMAKE_PREFIX_PATH}"
python -m pip install --no-build-isolation -v -e .

# the CMake prefix for non-conda environment, e.g. Python venv
# call following after activating the venv
export CMAKE_PREFIX_PATH="${VIRTUAL_ENV}:${CMAKE_PREFIX_PATH}"

ref: pin - verified 2026-10-14