Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 2 of 2 for Edges (0.05 sec)

  1. tensorflow/compiler/mlir/lite/flatbuffer_export.cc

      // Populate the model control dependencies metadata entry.
      if (std::any_of(
              model_control_dependencies_.begin(),
              model_control_dependencies_.end(),
              [](const tflite::ControlEdges& edges) { return !edges.empty(); })) {
        metadata.push_back(
            BuildMetadata(tflite::kModelControlDependenciesMetadataKey,
                          tflite::SerializeModelControlDependencies(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 21:41:49 UTC 2024
    - 164.5K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td

      let constructor = "TFTPU::CreateTPUColocateSplitsPass()";
      let description = [{
        It is beneficial for performance to assign a `Split` op to the same device
        as its predecessor. This is because the weight of cut edges is always
        minimized when the `Split` is with its predecessor. This colocation
        constraint will be used by the placer graph optimization to assign a device
        to the op.
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 21:18:05 UTC 2024
    - 99.6K bytes
    - Viewed (0)
Back to top