PyTorch | NVIDIA NGC

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PyTorch

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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.

NVIDIA AI Enterprise Supported

Layer	Label		Created
1c2a5ad23afcd4b2e2491e54d9f6915ee426eb8e1ca9bd5d14d50f38c6a47e8d	CONFIG	`Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp`	06/24/2023 4:24 AM UTC
c6b9bc14d9b641e2fdee75fdcd777e37f92b24360aec6fef498788f01ef5cdf2	ARG	`NVIDIA_BUILD_REF`	06/24/2023 4:24 AM UTC
bb31c140403d9346b8059c7105ce03e70a10fe891361238c18f52c2eb127f346	LABEL	`com.nvidia.build.id=63009835`	06/24/2023 4:24 AM UTC
32925743d69194290f146971a3ec973575492395cf9d82d3ec0755d37983979c	ENV	`NVIDIA_BUILD_ID=63009835`	06/24/2023 4:24 AM UTC
d8e31531d423bba0f658675127943383efadd88e6806d532377c19c99f23f64c	ARG	`NVIDIA_BUILD_ID`	06/24/2023 4:24 AM UTC
edeec5c6d29f6439298f9f92dad193a60ef533197a457eb4cbd079f5d82f5048	COPY	`entrypoint.d/ /opt/nvidia/entrypoint.d/`	06/24/2023 4:24 AM UTC
aea159dde215712321cbbc27c35432be560c4a748d92e218521e375580406736	RUN	`PYVER=3.10 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 ${_CUDA_COMPAT_PATH}/lib`	06/24/2023 4:24 AM UTC
6939e5ebf2ae7d8f44022ab4ae3db0fd856160cc452087b2fb4ea3c533ddfb55	ENV	`CUDA_MODULE_LOADING=LAZY`	06/24/2023 4:24 AM UTC
b946cf46bc490a8c4b8cdc6880bb7f0020808b2a3a31d648859880cefd1185dc	ENV	`TORCH_CUDNN_V8_API_ENABLED=1`	06/24/2023 4:24 AM UTC
b76b250828b9a59d527af72a06f8e72fa6d2b33d19da301abb5460aa1a33089e	RUN	`PYVER=3.10 pip install --no-cache-dir git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION}`	06/24/2023 4:24 AM UTC