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tensorflow/BUILD
# cc_shared_library to work. "//tensorflow/c/eager:c_api_experimental", "//tensorflow/c/eager:c_api_internal", "//tensorflow/c/eager:dlpack", "//tensorflow/c/eager:tape", "//tensorflow/c/eager:tfe_context_internal", "//tensorflow/c/eager:tfe_op_internal", "//tensorflow/c/eager:tfe_tensorhandle_internal", "//tensorflow/c/experimental/gradients",
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 09 18:15:11 GMT 2024 - 53.4K bytes - Viewed (8) -
.bazelrc
# nothing in a bazelrc will default to a monolithic build. The following line # opts in to modular op registration support by default. build --define framework_shared_object=true build --define tsl_protobuf_header_only=true build --define=use_fast_cpp_protos=true build --define=allow_oversize_protos=true build --spawn_strategy=standalone build -c opt # Make Bazel print out all options from rc files.
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configure.py
def set_tf_cuda_paths(environ_cp): """Set TF_CUDA_PATHS.""" ask_cuda_paths = ( 'Please specify the comma-separated list of base paths to look for CUDA ' 'libraries and headers. [Leave empty to use the default]: ') tf_cuda_paths = get_from_env_or_user_or_default(environ_cp, 'TF_CUDA_PATHS', ask_cuda_paths, '') if tf_cuda_paths:
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1)