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Update nvcr.io/nvidia/cuda Docker tag to v12 #14016
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| # NVIDIA CUDA container: https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda | ||
| # Supported NVIDIA images: https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/supported-tags.md | ||
| # TensorFlow/CUDA compatibility: https://www.tensorflow.org/install/source#gpu | ||
| FROM nvcr.io/nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04 | ||
| FROM nvcr.io/nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04 | ||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This update to CUDA 12.2.2 is incompatible with the TensorFlow version ( To resolve this, please revert to a CUDA version compatible with TensorFlow 2.12.0. Reference: TensorFlow build configurations |
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| # NVIDIA CUDA container: https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda | ||
| # Supported NVIDIA images: https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/supported-tags.md | ||
| # TensorFlow/CUDA compatibility: https://www.tensorflow.org/install/source#gpu | ||
| FROM nvcr.io/nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04 | ||
| FROM nvcr.io/nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04 | ||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This update to CUDA 12.2.2 is incompatible with the TensorFlow version ( To resolve this, please revert to a CUDA version compatible with TensorFlow 2.12.0. Reference: TensorFlow build configurations |
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There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
This update to CUDA 12.2.2 is incompatible with the TensorFlow version (
2.12.0) used in this example'srequirements.txt. According to the official TensorFlow documentation, TensorFlow 2.12.0 requires CUDA 11.8. This mismatch will likely cause runtime errors and prevent GPU utilization.To resolve this, please revert to a CUDA version compatible with TensorFlow 2.12.0.
Reference: TensorFlow build configurations