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Results 1 - 2 of 2 for TF_NEED_CUDA (0.05 sec)
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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) -
.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)