@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.Conv3D extends Pointer
input and filter tensors.
In signal processing, cross-correlation is a measure of similarity of
two waveforms as a function of a time-lag applied to one of them. This
is also known as a sliding dot product or sliding inner-product.
Our Conv3D implements a form of cross-correlation.
Arguments:
* scope: A Scope object
* input: Shape [batch, in_depth, in_height, in_width, in_channels].
* filter: Shape [filter_depth, filter_height, filter_width, in_channels,
out_channels]. in_channels must match between input and filter.
* strides: 1-D tensor of length 5. The stride of the sliding window for each
dimension of input. Must have strides[0] = strides[4] = 1.
* padding: The type of padding algorithm to use.
Optional attributes (see Attrs):
* data_format: The data format of the input and output data. With the
default format "NDHWC", the data is stored in the order of:
[batch, in_depth, in_height, in_width, in_channels].
Alternatively, the format could be "NCDHW", the data storage order is:
[batch, in_channels, in_depth, in_height, in_width].
* dilations: 1-D tensor of length 5. 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: The output tensor.| Modifier and Type | Class and Description |
|---|---|
static class |
tensorflow.Conv3D.Attrs
Optional attribute setters for Conv3D
|
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Modifier and Type | Method and Description |
|---|---|
tensorflow.Input |
asInput() |
tensorflow.Output |
asOutput() |
static tensorflow.Conv3D.Attrs |
DataFormat(BytePointer x) |
static tensorflow.Conv3D.Attrs |
DataFormat(String x) |
static tensorflow.Conv3D.Attrs |
Dilations(int... x) |
static tensorflow.Conv3D.Attrs |
Dilations(IntBuffer x) |
static tensorflow.Conv3D.Attrs |
Dilations(IntPointer x) |
tensorflow.Node |
node() |
tensorflow.Operation |
operation() |
tensorflow.Conv3D |
operation(tensorflow.Operation operation) |
tensorflow.Output |
output() |
tensorflow.Conv3D |
output(tensorflow.Output output) |
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, zeropublic Conv3D(Pointer p)
Pointer.Pointer(Pointer).public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice IntPointer strides, @tensorflow.StringPiece BytePointer padding)
public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice IntBuffer strides, @tensorflow.StringPiece String padding)
public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice int[] strides, @tensorflow.StringPiece BytePointer padding)
public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice IntPointer strides, @tensorflow.StringPiece String padding)
public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice IntBuffer strides, @tensorflow.StringPiece BytePointer padding)
public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice int[] strides, @tensorflow.StringPiece String padding)
public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice IntPointer strides, @tensorflow.StringPiece BytePointer padding, @Const @ByRef tensorflow.Conv3D.Attrs attrs)
public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice IntBuffer strides, @tensorflow.StringPiece String padding, @Const @ByRef tensorflow.Conv3D.Attrs attrs)
public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice int[] strides, @tensorflow.StringPiece BytePointer padding, @Const @ByRef tensorflow.Conv3D.Attrs attrs)
public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice IntPointer strides, @tensorflow.StringPiece String padding, @Const @ByRef tensorflow.Conv3D.Attrs attrs)
public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice IntBuffer strides, @tensorflow.StringPiece BytePointer padding, @Const @ByRef tensorflow.Conv3D.Attrs attrs)
public Conv3D(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input input, @ByVal tensorflow.Input filter, @tensorflow.ArraySlice int[] strides, @tensorflow.StringPiece String padding, @Const @ByRef tensorflow.Conv3D.Attrs attrs)
@ByVal @Name(value="operator tensorflow::Output") public tensorflow.Output asOutput()
@ByVal @Name(value="operator tensorflow::Input") public tensorflow.Input asInput()
public tensorflow.Node node()
@ByVal public static tensorflow.Conv3D.Attrs DataFormat(@tensorflow.StringPiece BytePointer x)
@ByVal public static tensorflow.Conv3D.Attrs DataFormat(@tensorflow.StringPiece String x)
@ByVal public static tensorflow.Conv3D.Attrs Dilations(@tensorflow.ArraySlice IntPointer x)
@ByVal public static tensorflow.Conv3D.Attrs Dilations(@tensorflow.ArraySlice IntBuffer x)
@ByVal public static tensorflow.Conv3D.Attrs Dilations(@tensorflow.ArraySlice int... x)
@ByRef public tensorflow.Operation operation()
public tensorflow.Conv3D operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output output()
public tensorflow.Conv3D output(tensorflow.Output output)
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