initial changes for tensorflow gpu

[anushkamittal20]

No description provided.

[octo-sts]

Gen AI suggestions to solve the build error:

• Detected Error: No explicit error message shown, but the build stops after "running step 'Install gpu requirements'"

• Error Category: Dependency/Configuration

• Failure Point: The pip install command for gpu.requirements.txt

• Root Cause Analysis: The build environment likely lacks necessary CUDA-related dependencies required for tensorflow-gpu installation. The gpu.requirements.txt file typically includes CUDA-dependent packages.

• Suggested Fix:

1. Add CUDA-related packages to the environment section:

environment:
  contents:
    packages:
      - build-base
      - busybox
      - py3.11-pip
      - python-3.11
      - cuda
      - cuda-dev
      - cuda-runtime
      - cudnn
      - cudnn-dev
      - nvidia-utils

2. Add environment variables for CUDA:

  environment:
    SOURCE_DATE_EPOCH: 315532800
    CUDA_HOME: /usr/local/cuda
    LD_LIBRARY_PATH: /usr/local/cuda/lib64
    PATH: /usr/local/cuda/bin:$PATH

• Explanation: TensorFlow GPU requires CUDA libraries and runtime components to be present in the build environment. The current configuration is missing these essential dependencies which are needed to compile and install GPU-enabled TensorFlow packages.

• Additional Notes:

• Verify that Wolfi OS has the required CUDA packages available
• Consider adding nvidia-container-toolkit if containerized builds are used
• Check compatibility matrix between TensorFlow version and CUDA/cuDNN versions
• May need to specify exact CUDA version based on TensorFlow requirements

• References:

• TensorFlow GPU Support: https://www.tensorflow.org/install/gpu
• CUDA Requirements: https://www.tensorflow.org/install/source#gpu
• TensorFlow Build Configuration: https://github.com/tensorflow/tensorflow/blob/master/configure.py