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  1. configure.py

      Args:
        environ_cp: copy of the os.environ.
        var_name: string for name of environment variable, e.g. "TF_NEED_CUDA".
        query_item: string for feature related to the variable, e.g. "CUDA for
          Nvidia GPUs".
        enabled_by_default: boolean for default behavior.
        question: optional string for how to ask for user input.
        yes_reply: optional string for reply when feature is enabled.
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Fri Dec 19 16:32:04 GMT 2025
    - 48.3K bytes
    - Click Count (0)
  2. .bazelrc

    # See https://developer.nvidia.com/cuda-gpus#compute
    # `compute_XY` enables PTX embedding in addition to SASS. PTX
    # is forward compatible beyond the current compute capability major
    # release while SASS is only forward compatible inside the current
    # major release. Example: sm_80 kernels can run on sm_89 GPUs but
    # not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Sat Mar 28 04:33:01 GMT 2026
    - 58.9K bytes
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  3. tensorflow/c/c_test_util.cc

      TF_SetAttrType(desc, "T", TF_INT32);
      // Set device to CPU since there is no version of split for int32 on GPU
      // TODO(iga): Convert all these helpers and tests to use floats because
      // they are usually available on GPUs. After doing this, remove TF_SetDevice
      // call in c_api_function_test.cc
      TF_SetDevice(desc, "/cpu:0");
      *op = TF_FinishOperation(desc, s);
      ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Sat Oct 04 05:55:32 GMT 2025
    - 17.8K bytes
    - Click Count (1)
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