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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/framework/function.proto
package org.tensorflow.framework;
/**
*
* GradientDef defines the gradient function of a function defined in
* a function library.
* A gradient function g (specified by gradient_func) for a function f
* (specified by function_name) must follow the following:
* The function 'f' must be a numerical function which takes N inputs
* and produces M outputs. Its gradient function 'g', which is a
* function taking N + M inputs and produces N outputs.
* I.e. if we have
* (y1, y2, ..., y_M) = f(x1, x2, ..., x_N),
* then, g is
* (dL/dx1, dL/dx2, ..., dL/dx_N) = g(x1, x2, ..., x_N,
* dL/dy1, dL/dy2, ..., dL/dy_M),
* where L is a scalar-value function of (x1, x2, ..., xN) (e.g., the
* loss function). dL/dx_i is the partial derivative of L with respect
* to x_i.
*
*
* Protobuf type {@code tensorflow.GradientDef}
*/
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*
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/**
*
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*
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*/
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/**
*
* GradientDef defines the gradient function of a function defined in
* a function library.
* A gradient function g (specified by gradient_func) for a function f
* (specified by function_name) must follow the following:
* The function 'f' must be a numerical function which takes N inputs
* and produces M outputs. Its gradient function 'g', which is a
* function taking N + M inputs and produces N outputs.
* I.e. if we have
* (y1, y2, ..., y_M) = f(x1, x2, ..., x_N),
* then, g is
* (dL/dx1, dL/dx2, ..., dL/dx_N) = g(x1, x2, ..., x_N,
* dL/dy1, dL/dy2, ..., dL/dy_M),
* where L is a scalar-value function of (x1, x2, ..., xN) (e.g., the
* loss function). dL/dx_i is the partial derivative of L with respect
* to x_i.
*
*
* Protobuf type {@code tensorflow.GradientDef}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.GradientDef)
org.tensorflow.framework.GradientDefOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.FunctionProtos.internal_static_tensorflow_GradientDef_descriptor;
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gradientFunc_ = "";
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onChanged();
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/**
*
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onChanged();
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onChanged();
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private java.lang.Object gradientFunc_ = "";
/**
*
* The gradient function's name.
*
*
* string gradient_func = 2;
*/
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*
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*
*
* string gradient_func = 2;
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/**
*
* The gradient function's name.
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*
* string gradient_func = 2;
*/
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java.lang.String value) {
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throw new NullPointerException();
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gradientFunc_ = value;
onChanged();
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/**
*
* The gradient function's name.
*
*
* string gradient_func = 2;
*/
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onChanged();
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*
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throw new NullPointerException();
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checkByteStringIsUtf8(value);
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onChanged();
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// @@protoc_insertion_point(builder_scope:tensorflow.GradientDef)
}
// @@protoc_insertion_point(class_scope:tensorflow.GradientDef)
private static final org.tensorflow.framework.GradientDef DEFAULT_INSTANCE;
static {
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}
public static org.tensorflow.framework.GradientDef getDefaultInstance() {
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