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Results 1 - 3 of 3 for NVIDIA (0.25 sec)

  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.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Jun 10 04:32:44 UTC 2024
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  2. tensorflow/compiler/jit/BUILD

    tf_cuda_cc_test(
        name = "pjrt_compile_util_test",
        srcs = ["pjrt_compile_util_test.cc"],
        tags = [
            "config-cuda-only",
            "no_oss",  # This test only runs with GPU.
            "requires-gpu-nvidia",
            "xla",
        ],
        deps = [
            ":pjrt_compile_util",
            ":test_util",
            ":xla_gpu_jit",
            "//tensorflow/cc:function_ops",
            "//tensorflow/cc:math_ops",
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 31 00:41:19 UTC 2024
    - 61.5K bytes
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  3. .bazelrc

    build:cuda_clang --config=cuda
    # Enable TensorRT optimizations https://developer.nvidia.com/tensorrt
    build:cuda_clang --config=tensorrt
    build:cuda_clang --action_env=TF_CUDA_CLANG="1"
    build:cuda_clang --@local_config_cuda//:cuda_compiler=clang
    # Select supported compute capabilities (supported graphics cards).
    # This is the same as the official TensorFlow builds.
    # See https://developer.nvidia.com/cuda-gpus#compute
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 17:12:54 UTC 2024
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