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Results 1 - 2 of 2 for TF_NEED_CUDA (0.08 sec)

  1. configure.py

              'For using TensorFlow GPU on Windows, you will need to build/install '
              'TensorFlow in WSL2.\n')
        environ_cp['TF_NEED_CUDA'] = '0'
      else:
        environ_cp['TF_NEED_CUDA'] = str(
            int(get_var(environ_cp, 'TF_NEED_CUDA', 'CUDA', False)))
      if environ_cp.get('TF_NEED_CUDA') == '1':
        set_hermetic_cuda_version(environ_cp)
        set_hermetic_cudnn_version(environ_cp)
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Wed Apr 30 15:18:54 UTC 2025
    - 48.3K bytes
    - Viewed (0)
  2. .bazelrc

    build:cuda_version --repo_env=HERMETIC_CUDNN_VERSION="9.3.0"
    build:cuda_version --repo_env=HERMETIC_NVSHMEM_VERSION="3.2.5"
    
    # CUDA: This config refers to building CUDA op kernels with nvcc.
    build:cuda --repo_env TF_NEED_CUDA=1
    build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain
    build:cuda --@local_config_cuda//:enable_cuda
    build:cuda --config=cuda_version
    # This flag is needed to include CUDA libraries.
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Fri Aug 22 21:03:34 UTC 2025
    - 56K bytes
    - Viewed (0)
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