Interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder

All Superinterfaces:
MessageLiteOrBuilder, MessageOrBuilder
All Known Implementing Classes:
UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr, UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
Enclosing class:
UniformQuantOpsAttr
public static interface UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttrOrBuilder extends MessageOrBuilder

  • Method Details

    • getInputBatchDimension

      long getInputBatchDimension()
      The dimension that represents batch in the input.
      int64 input_batch_dimension = 1;
      Returns:
      The inputBatchDimension.

    • getInputFeatureDimension

      long getInputFeatureDimension()
      The dimension that represents features in the input.
      int64 input_feature_dimension = 2;
      Returns:
      The inputFeatureDimension.

    • getInputSpatialDimensionsList

      List<Long> getInputSpatialDimensionsList()
      The dimensions that represents spatial dimensions in the input. Length must
be rank-2 for the tensor rank for Convolution op.
      repeated int64 input_spatial_dimensions = 3;
      Returns:
      A list containing the inputSpatialDimensions.

    • getInputSpatialDimensionsCount

      int getInputSpatialDimensionsCount()
      The dimensions that represents spatial dimensions in the input. Length must
be rank-2 for the tensor rank for Convolution op.
      repeated int64 input_spatial_dimensions = 3;
      Returns:
      The count of inputSpatialDimensions.

    • getInputSpatialDimensions

      long getInputSpatialDimensions(int index)
      The dimensions that represents spatial dimensions in the input. Length must
be rank-2 for the tensor rank for Convolution op.
      repeated int64 input_spatial_dimensions = 3;
      Parameters:
      index - The index of the element to return.
      Returns:
      The inputSpatialDimensions at the given index.

    • getKernelInputFeatureDimension

      long getKernelInputFeatureDimension()
      The dimension that represents input features in the kernel (rhs).
      int64 kernel_input_feature_dimension = 4;
      Returns:
      The kernelInputFeatureDimension.

    • getKernelOutputFeatureDimension

      long getKernelOutputFeatureDimension()
      The dimension that represents output features in the kernel (rhs).
      int64 kernel_output_feature_dimension = 5;
      Returns:
      The kernelOutputFeatureDimension.

    • getKernelSpatialDimensionsList

      List<Long> getKernelSpatialDimensionsList()
      The dimensions that represents spatial dimensions in the kernel (rhs).
Length must be rank-2 for the tensor rank for Convolution op.
      repeated int64 kernel_spatial_dimensions = 6;
      Returns:
      A list containing the kernelSpatialDimensions.

    • getKernelSpatialDimensionsCount

      int getKernelSpatialDimensionsCount()
      The dimensions that represents spatial dimensions in the kernel (rhs).
Length must be rank-2 for the tensor rank for Convolution op.
      repeated int64 kernel_spatial_dimensions = 6;
      Returns:
      The count of kernelSpatialDimensions.

    • getKernelSpatialDimensions

      long getKernelSpatialDimensions(int index)
      The dimensions that represents spatial dimensions in the kernel (rhs).
Length must be rank-2 for the tensor rank for Convolution op.
      repeated int64 kernel_spatial_dimensions = 6;
      Parameters:
      index - The index of the element to return.
      Returns:
      The kernelSpatialDimensions at the given index.

    • getOutputBatchDimension

      long getOutputBatchDimension()
      The dimension that represents batch in the output.
      int64 output_batch_dimension = 7;
      Returns:
      The outputBatchDimension.

    • getOutputFeatureDimension

      long getOutputFeatureDimension()
      The dimension that represents features in the output.
      int64 output_feature_dimension = 8;
      Returns:
      The outputFeatureDimension.

    • getOutputSpatialDimensionsList

      List<Long> getOutputSpatialDimensionsList()
      The dimensions that represents spatial dimensions in the output. Length
must be rank-2 for the tensor rank for Convolution op.
      repeated int64 output_spatial_dimensions = 9;
      Returns:
      A list containing the outputSpatialDimensions.

    • getOutputSpatialDimensionsCount

      int getOutputSpatialDimensionsCount()
      The dimensions that represents spatial dimensions in the output. Length
must be rank-2 for the tensor rank for Convolution op.
      repeated int64 output_spatial_dimensions = 9;
      Returns:
      The count of outputSpatialDimensions.

    • getOutputSpatialDimensions

      long getOutputSpatialDimensions(int index)
      The dimensions that represents spatial dimensions in the output. Length
must be rank-2 for the tensor rank for Convolution op.
      repeated int64 output_spatial_dimensions = 9;
      Parameters:
      index - The index of the element to return.
      Returns:
      The outputSpatialDimensions at the given index.