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Diffstat (limited to 'tensorflow/core/protobuf/config.proto')
| -rw-r--r-- | tensorflow/core/protobuf/config.proto | 12 |
1 files changed, 12 insertions, 0 deletions
diff --git a/tensorflow/core/protobuf/config.proto b/tensorflow/core/protobuf/config.proto index 98e7b171d2..5c0f7232eb 100644 --- a/tensorflow/core/protobuf/config.proto +++ b/tensorflow/core/protobuf/config.proto @@ -64,6 +64,18 @@ message GPUOptions { // PollEvents calls, when the queue is empty. If value is not // set or set to 0, gets set to a non-zero default. int32 polling_inactive_delay_msecs = 7; + + // Force all tensors to be gpu_compatible. On a GPU-enabled TensorFlow, + // enabling this option forces all CPU tensors to be allocated with Cuda + // pinned memory. Normally, TensorFlow will infer which tensors should be + // allocated as the pinned memory. But in case where the inference is + // incomplete, this option can significantly speed up the cross-device memory + // copy performance as long as it fits the memory. + // Note that this option is not something that should be + // enabled by default for unknown or very large models, since all Cuda pinned + // memory is unpageable, having too much pinned memory might negatively impact + // the overall host system performance. + bool force_gpu_compatible = 8; }; // Options passed to the graph optimizer |