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Results 1 - 2 of 2 for agg_start_idx (0.24 sec)

  1. tensorflow/compiler/mlir/lite/transforms/optimize.cc

    bool BroadcastDimsProductEqual(Value input, Value output,
                                   size_t agg_start_idx) {
      ArrayRef<int64_t> input_shape =
          mlir::cast<ShapedType>(input.getType()).getShape();
      ArrayRef<int64_t> output_shape =
          mlir::cast<ShapedType>(output.getType()).getShape();
    
      int64_t agg_value = 1;
      for (size_t i = agg_start_idx; i < input_shape.size() - 1; ++i) {
        agg_value *= input_shape[i];
      }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 30 00:40:15 UTC 2024
    - 102.3K bytes
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  2. tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td

    // Return true if the product of dimension values of a subsection of the tensor
    // is equal to the non-contracting dimension after a reshape
    class BroadcastDimsProductEqual<int agg_start_idx> : Constraint<CPred<
      "TFL::BroadcastDimsProductEqual($0, $1, "# agg_start_idx #")">>;
    
    // Returns true if the dimensions of a subsection of two tensors is equal
    class AreTensorSubSectionShapesEqual<int skip_first, int skip_last> : Constraint<CPred<
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 66.4K bytes
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