#include <nn_ops.h>
Computes the gradients of 3-D convolution with respect to the filter.
Arguments:
[batch, depth, rows, cols, in_channels]
.filter
, where filter
is a 5-D [filter_depth, filter_height, filter_width, in_channels, out_channels]
tensor.[batch, out_depth, out_rows, out_cols, out_channels]
.input
. Must have strides[0] = strides[4] = 1
.Optional attributes (see Attrs
):
Returns:
Output
: The output tensor. Constructors and Destructors | |
---|---|
Conv3DBackpropFilterV2(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter_sizes, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding) | |
Conv3DBackpropFilterV2(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter_sizes, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding, const Conv3DBackpropFilterV2::Attrs & attrs) |
Public attributes | |
---|---|
output |
Public functions | |
---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Public static functions | |
---|---|
DataFormat(StringPiece x) |
Structs | |
---|---|
tensorflow::ops::Conv3DBackpropFilterV2::Attrs | Optional attribute setters for Conv3DBackpropFilterV2. |
::tensorflow::Output output
Conv3DBackpropFilterV2( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter_sizes, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding )
Conv3DBackpropFilterV2( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter_sizes, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding, const Conv3DBackpropFilterV2::Attrs & attrs )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
Attrs DataFormat( StringPiece x )
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-filter-v2.html