Uses of Class
org.tensorflow.proto.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder
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Uses of UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder in org.tensorflow.proto
Subclasses with type arguments of type UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder in org.tensorflow.protoModifier and TypeClassDescriptionstatic final classDescribes the dimension numbers for Convolution op.Methods in org.tensorflow.proto that return UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.BuilderModifier and TypeMethodDescriptionUniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.addAllInputSpatialDimensions(Iterable<? extends Long> values) The dimensions that represents spatial dimensions in the input.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.addAllKernelSpatialDimensions(Iterable<? extends Long> values) The dimensions that represents spatial dimensions in the kernel (rhs).UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.addAllOutputSpatialDimensions(Iterable<? extends Long> values) The dimensions that represents spatial dimensions in the output.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.addInputSpatialDimensions(long value) The dimensions that represents spatial dimensions in the input.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.addKernelSpatialDimensions(long value) The dimensions that represents spatial dimensions in the kernel (rhs).UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.addOutputSpatialDimensions(long value) The dimensions that represents spatial dimensions in the output.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.clear()UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.clearInputBatchDimension()The dimension that represents batch in the input.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.clearInputFeatureDimension()The dimension that represents features in the input.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.clearInputSpatialDimensions()The dimensions that represents spatial dimensions in the input.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.clearKernelInputFeatureDimension()The dimension that represents input features in the kernel (rhs).UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.clearKernelOutputFeatureDimension()The dimension that represents output features in the kernel (rhs).UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.clearKernelSpatialDimensions()The dimensions that represents spatial dimensions in the kernel (rhs).UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.clearOutputBatchDimension()The dimension that represents batch in the output.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.clearOutputFeatureDimension()The dimension that represents features in the output.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.clearOutputSpatialDimensions()The dimensions that represents spatial dimensions in the output.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.mergeFrom(Message other) UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.mergeFrom(UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr other) UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.newBuilder()UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.newBuilder(UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr prototype) UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.newBuilderForType()UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.newBuilderForType(AbstractMessage.BuilderParent parent) UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.setInputBatchDimension(long value) The dimension that represents batch in the input.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.setInputFeatureDimension(long value) The dimension that represents features in the input.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.setInputSpatialDimensions(int index, long value) The dimensions that represents spatial dimensions in the input.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.setKernelInputFeatureDimension(long value) The dimension that represents input features in the kernel (rhs).UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.setKernelOutputFeatureDimension(long value) The dimension that represents output features in the kernel (rhs).UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.setKernelSpatialDimensions(int index, long value) The dimensions that represents spatial dimensions in the kernel (rhs).UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.setOutputBatchDimension(long value) The dimension that represents batch in the output.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.setOutputFeatureDimension(long value) The dimension that represents features in the output.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.Builder.setOutputSpatialDimensions(int index, long value) The dimensions that represents spatial dimensions in the output.UniformQuantOpsAttr.UniformQuantizedConvolutionDimensionNumbersAttr.toBuilder()