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  1. tensorflow/BUILD

        visibility = ["//visibility:public"],
    )
    
    # Sometimes Bazel reports darwin_x86_64 as "darwin" and sometimes as
    # "darwin_x86_64". The former shows up when building on a Mac x86_64 host for a Mac x86_64 target.
    # The latter shows up when cross-compiling for Mac x86_64 from a Mac ARM machine and in internal
    # Google builds.
    config_setting(
        name = "macos_x86_64_default",
    Plain Text
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 09 18:15:11 GMT 2024
    - 53.4K bytes
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  2. configure.py

          environ_cp,
          var_name='GCC_HOST_COMPILER_PATH',
          var_default=default_gcc_host_compiler_path,
          ask_for_var='Please specify which gcc should be used by nvcc as the host '
          'compiler.',
          check_success=os.path.exists,
          resolve_symlinks=True,
          error_msg='Invalid gcc path. %s cannot be found.',
      )
    
      write_action_env_to_bazelrc('GCC_HOST_COMPILER_PATH', gcc_host_compiler_path)
    
    
    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)
  3. .bazelrc

    # Set execution platform to Linux x86
    # Note: Lot of the "host_" flags such as "host_cpu" and "host_crosstool_top"
    # flags seem to be actually used to specify the execution platform details. It
    # seems it is this way because these flags are old and predate the distinction
    # between host and execution platform.
    build:cross_compile_base --host_cpu=k8
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Thu May 02 19:34:20 GMT 2024
    - 52.8K bytes
    - Viewed (2)
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