org.bytedeco.javacpp

Class tensorflow.Conv2D

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.Conv2D

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.Conv2D
extends Pointer

Computes a 2-D convolution given 4-D input and filter tensors. Given an input tensor of shape [batch, in_height, in_width, in_channels] and a filter / kernel tensor of shape [filter_height, filter_width, in_channels, out_channels], this op performs the following: 1. Flattens the filter to a 2-D matrix with shape [filter_height * filter_width * in_channels, output_channels]. 2. Extracts image patches from the input tensor to form a *virtual* tensor of shape [batch, out_height, out_width, filter_height * filter_width * in_channels]. 3. For each patch, right-multiplies the filter matrix and the image patch vector. In detail, with the default NHWC format, output[b, i, j, k] = sum_{di, dj, q} input[b, strides[1] * i + di, strides[2] * j + dj, q] * filter[di, dj, q, k] Must have strides[0] = strides[3] = 1. For the most common case of the same horizontal and vertices strides, strides = [1, stride, stride, 1]. Arguments: * scope: A Scope object * input: A 4-D tensor. The dimension order is interpreted according to the value of data_format, see below for details. * filter: A 4-D tensor of shape [filter_height, filter_width, in_channels, out_channels] * strides: 1-D tensor of length 4. The stride of the sliding window for each dimension of input. The dimension order is determined by the value of data_format, see below for details. * 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, height, width, channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, channels, height, width]. * dilations: 1-D tensor of length 4. The dilation factor for each dimension of input. If set to k > 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value of data_format, see above for details. Dilations in the batch and depth dimensions must be 1. Returns: * Output: A 4-D tensor. The dimension order is determined by the value of data_format, see below for details.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.Conv2D.Attrs Optional attribute setters for Conv2D

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
Conv2D(Pointer p) Pointer cast constructor.
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, BytePointer padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, BytePointer padding, tensorflow.Conv2D.Attrs attrs)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, String padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, String padding, tensorflow.Conv2D.Attrs attrs)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, BytePointer padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, BytePointer padding, tensorflow.Conv2D.Attrs attrs)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, String padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, String padding, tensorflow.Conv2D.Attrs attrs)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, BytePointer padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, BytePointer padding, tensorflow.Conv2D.Attrs attrs)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, String padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, String padding, tensorflow.Conv2D.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.Conv2D.Attrs	DataFormat(BytePointer x)
static tensorflow.Conv2D.Attrs	DataFormat(String x)
static tensorflow.Conv2D.Attrs	Dilations(int... x)
static tensorflow.Conv2D.Attrs	Dilations(IntBuffer x)
static tensorflow.Conv2D.Attrs	Dilations(IntPointer x)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.Conv2D	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.Conv2D	output(tensorflow.Output output)
static tensorflow.Conv2D.Attrs	UseCudnnOnGpu(boolean x)

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

Conv2D

public Conv2D(Pointer p)

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

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              IntPointer strides,
              @tensorflow.StringPiece
              BytePointer padding)

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              IntBuffer strides,
              @tensorflow.StringPiece
              String padding)

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              int[] strides,
              @tensorflow.StringPiece
              BytePointer padding)

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              IntPointer strides,
              @tensorflow.StringPiece
              String padding)

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              IntBuffer strides,
              @tensorflow.StringPiece
              BytePointer padding)

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              int[] strides,
              @tensorflow.StringPiece
              String padding)

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              IntPointer strides,
              @tensorflow.StringPiece
              BytePointer padding,
              @Const @ByRef
              tensorflow.Conv2D.Attrs attrs)

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              IntBuffer strides,
              @tensorflow.StringPiece
              String padding,
              @Const @ByRef
              tensorflow.Conv2D.Attrs attrs)

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              int[] strides,
              @tensorflow.StringPiece
              BytePointer padding,
              @Const @ByRef
              tensorflow.Conv2D.Attrs attrs)

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              IntPointer strides,
              @tensorflow.StringPiece
              String padding,
              @Const @ByRef
              tensorflow.Conv2D.Attrs attrs)

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              IntBuffer strides,
              @tensorflow.StringPiece
              BytePointer padding,
              @Const @ByRef
              tensorflow.Conv2D.Attrs attrs)

Conv2D

public Conv2D(@Const @ByRef
              tensorflow.Scope scope,
              @ByVal
              tensorflow.Input input,
              @ByVal
              tensorflow.Input filter,
              @tensorflow.ArraySlice
              int[] strides,
              @tensorflow.StringPiece
              String padding,
              @Const @ByRef
              tensorflow.Conv2D.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()

UseCudnnOnGpu

@ByVal
public static tensorflow.Conv2D.Attrs UseCudnnOnGpu(@Cast(value="bool")
                                                            boolean x)

DataFormat

@ByVal
public static tensorflow.Conv2D.Attrs DataFormat(@tensorflow.StringPiece
                                                         BytePointer x)

DataFormat

@ByVal
public static tensorflow.Conv2D.Attrs DataFormat(@tensorflow.StringPiece
                                                         String x)

Dilations

@ByVal
public static tensorflow.Conv2D.Attrs Dilations(@tensorflow.ArraySlice
                                                        IntPointer x)

Dilations

@ByVal
public static tensorflow.Conv2D.Attrs Dilations(@tensorflow.ArraySlice
                                                        IntBuffer x)

Dilations

@ByVal
public static tensorflow.Conv2D.Attrs Dilations(@tensorflow.ArraySlice
                                                        int... x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.Conv2D operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.Conv2D output(tensorflow.Output output)