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GradientDef

public final class GradientDef

 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 tensorflow.GradientDef

Nested Classes

class

GradientDef.Builder

 GradientDef defines the gradient function of a function defined in
 a function library.

Constants

int	FUNCTION_NAME_FIELD_NUMBER
int	GRADIENT_FUNC_FIELD_NUMBER

Public Methods

boolean	equals(Object obj)
static GradientDef	getDefaultInstance()
GradientDef	getDefaultInstanceForType()
final static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
String	getFunctionName() The function name.
com.google.protobuf.ByteString	getFunctionNameBytes() The function name.
String	getGradientFunc() The gradient function's name.
com.google.protobuf.ByteString	getGradientFuncBytes() The gradient function's name.
	getParserForType()
int	getSerializedSize()
final com.google.protobuf.UnknownFieldSet	getUnknownFields()
int	hashCode()
final boolean	isInitialized()
static GradientDef.Builder	newBuilder(GradientDef prototype)
static GradientDef.Builder	newBuilder()
GradientDef.Builder	newBuilderForType()
static GradientDef	parseDelimitedFrom(InputStream input)
static GradientDef	parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static GradientDef	parseFrom(ByteBuffer data)
static GradientDef	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static GradientDef	parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static GradientDef	parseFrom(com.google.protobuf.CodedInputStream input)
static GradientDef	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static GradientDef	parseFrom(com.google.protobuf.ByteString data)
static GradientDef	parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static GradientDef	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static	parser()
GradientDef.Builder	toBuilder()
void	writeTo(com.google.protobuf.CodedOutputStream output)

Inherited Methods

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.proto.framework.GradientDefOrBuilder

abstract String	getFunctionName() The function name.
abstract com.google.protobuf.ByteString	getFunctionNameBytes() The function name.
abstract String	getGradientFunc() The gradient function's name.
abstract com.google.protobuf.ByteString	getGradientFuncBytes() The gradient function's name.

Constants

public static final int FUNCTION_NAME_FIELD_NUMBER

Constant Value: 1

public static final int GRADIENT_FUNC_FIELD_NUMBER

Constant Value: 2

Public Methods

public boolean equals (Object obj)

public static GradientDef getDefaultInstance ()

public GradientDef getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public String getFunctionName ()

 The function name.

string function_name = 1;

public com.google.protobuf.ByteString getFunctionNameBytes ()

 The function name.

string function_name = 1;

public String getGradientFunc ()

 The gradient function's name.

string gradient_func = 2;

public com.google.protobuf.ByteString getGradientFuncBytes ()

 The gradient function's name.

string gradient_func = 2;

public getParserForType ()

public int getSerializedSize ()

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

public int hashCode ()

public final boolean isInitialized ()

public static GradientDef.Builder newBuilder (GradientDef prototype)

public static GradientDef.Builder newBuilder ()

public GradientDef.Builder newBuilderForType ()

public static GradientDef parseDelimitedFrom (InputStream input)

Throws

IOException

public static GradientDef parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

IOException

public static GradientDef parseFrom (ByteBuffer data)

Throws

InvalidProtocolBufferException

public static GradientDef parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

IOException

public static GradientDef parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

InvalidProtocolBufferException

public static GradientDef parseFrom (com.google.protobuf.CodedInputStream input)

Throws

IOException

public static GradientDef parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

InvalidProtocolBufferException

public static GradientDef parseFrom (com.google.protobuf.ByteString data)

Throws

InvalidProtocolBufferException

public static GradientDef parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

IOException

public static GradientDef parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

InvalidProtocolBufferException

public static parser ()

public GradientDef.Builder toBuilder ()

public void writeTo (com.google.protobuf.CodedOutputStream output)

Throws

IOException