NVIDIA
NVIDIA
PyTorch
Container
NVIDIA
NVIDIA
PyTorch

PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=b3a219ee36b8fb6bf33353e548d995ed552ccbfa
10/17/2025 2:16 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=b3a219ee36b8fb6bf33353e548d995ed552ccbfa
10/17/2025 2:16 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=222058776
10/17/2025 2:16 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=222058776
10/17/2025 2:16 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=222058776
10/17/2025 2:16 AM UTC
sha256:5776ff2dcf33a85dd5dc06b2d1961ea0cd7d689be07601519b2cfd0cb20879f1RUN
NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=arm64 PYVER=3.12 L4T=1 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali cd /opt/pytorch/pytorch/ &&
  sed -i "s#    if (props.computeMode != cudaComputeModeDefault) {#    int computeMode = -1;\n    TP_CUDA_CHECK(cudaDeviceGetAttribute(\&computeMode, cudaDevAttrComputeMode, device.index));\n    if (computeMode != cudaComputeModeDefault) {#g" ./third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc &&
  cd -
10/17/2025 2:16 AM UTC
sha256:012b8d075af47c5a5ab1d728ba53ea7cca5c366ae351fdaee22d92a8f587bd2dCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
10/17/2025 2:16 AM UTC
sha256:576c77eaf319d88796b1cb8659047db0c2a051d9298b53ce4a363c594018fc76COPY
constraint.txt /etc/pip/original_constraint.txt
10/17/2025 2:16 AM UTC
sha256:697913a502810abf3e9756a9fd635891842b56017e048dc46dec532136e46a65COPY
restricted_constraint.txt /etc/pip/constraint.txt
10/17/2025 2:16 AM UTC
sha256:35cf0614ebeb2c0931c08941d7f56d7f5b165b505a44dda81c0d5aeea7878ff9RUN
NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=arm64 PYVER=3.12 L4T=1 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib &&
  echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf &&
  ldconfig &&
  rm -f ${_CUDA_COMPAT_PATH}/lib
10/17/2025 2:16 AM UTC
...

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.