org.bytedeco.javacpp

Class tensorflow.MaxPoolGradV2

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.MaxPoolGradV2

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.MaxPoolGradV2
extends Pointer

Computes gradients of the maxpooling function. Arguments: * scope: A Scope object * orig_input: The original input tensor. * orig_output: The original output tensor. * grad: 4-D. Gradients w.r.t. the output of max_pool. * ksize: The size of the window for each dimension of the input tensor. * strides: The stride of the sliding window for each dimension of the input tensor. * padding: The type of padding algorithm to use. Optional attributes (see Attrs): * data_format: Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width]. Returns: * Output: Gradients w.r.t. the input to max_pool.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.MaxPoolGradV2.Attrs Optional attribute setters for MaxPoolGradV2

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
MaxPoolGradV2(Pointer p) Pointer cast constructor.
MaxPoolGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, BytePointer padding)
MaxPoolGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, BytePointer padding, tensorflow.MaxPoolGradV2.Attrs attrs)
MaxPoolGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, String padding)
MaxPoolGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, String padding, tensorflow.MaxPoolGradV2.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.MaxPoolGradV2.Attrs	DataFormat(BytePointer x)
static tensorflow.MaxPoolGradV2.Attrs	DataFormat(String x)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.MaxPoolGradV2	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.MaxPoolGradV2	output(tensorflow.Output output)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

MaxPoolGradV2

public MaxPoolGradV2(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

MaxPoolGradV2

public MaxPoolGradV2(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input orig_input,
                     @ByVal
                     tensorflow.Input orig_output,
                     @ByVal
                     tensorflow.Input grad,
                     @ByVal
                     tensorflow.Input ksize,
                     @ByVal
                     tensorflow.Input strides,
                     @tensorflow.StringPiece
                     BytePointer padding)

MaxPoolGradV2

public MaxPoolGradV2(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input orig_input,
                     @ByVal
                     tensorflow.Input orig_output,
                     @ByVal
                     tensorflow.Input grad,
                     @ByVal
                     tensorflow.Input ksize,
                     @ByVal
                     tensorflow.Input strides,
                     @tensorflow.StringPiece
                     String padding)

MaxPoolGradV2

public MaxPoolGradV2(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input orig_input,
                     @ByVal
                     tensorflow.Input orig_output,
                     @ByVal
                     tensorflow.Input grad,
                     @ByVal
                     tensorflow.Input ksize,
                     @ByVal
                     tensorflow.Input strides,
                     @tensorflow.StringPiece
                     BytePointer padding,
                     @Const @ByRef
                     tensorflow.MaxPoolGradV2.Attrs attrs)

MaxPoolGradV2

public MaxPoolGradV2(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input orig_input,
                     @ByVal
                     tensorflow.Input orig_output,
                     @ByVal
                     tensorflow.Input grad,
                     @ByVal
                     tensorflow.Input ksize,
                     @ByVal
                     tensorflow.Input strides,
                     @tensorflow.StringPiece
                     String padding,
                     @Const @ByRef
                     tensorflow.MaxPoolGradV2.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

DataFormat

@ByVal
public static tensorflow.MaxPoolGradV2.Attrs DataFormat(@tensorflow.StringPiece
                                                                BytePointer x)

DataFormat

@ByVal
public static tensorflow.MaxPoolGradV2.Attrs DataFormat(@tensorflow.StringPiece
                                                                String x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.MaxPoolGradV2 operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.MaxPoolGradV2 output(tensorflow.Output output)