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#include <nn_ops.h>
Computes the gradients of 3-D convolution with respect to the input.
Summary
Args:
-
scope: A
Scope
object
-
input_sizes: An integer vector representing the tensor shape of
input
, where
input
is a 5-D
[batch, depth, rows, cols, in_channels]
tensor.
-
filter: Shape
[depth, rows, cols, in_channels, out_channels]
.
in_channels
must match between
input
and
filter
.
-
out_backprop: Backprop signal of shape
[batch, out_depth, out_rows, out_cols, out_channels]
.
-
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:
Constructors and Destructors
|
Conv3DBackpropInputV2
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
input_sizes, ::
tensorflow::Input
filter, ::
tensorflow::Input
out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding)
|
Conv3DBackpropInputV2
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
input_sizes, ::
tensorflow::Input
filter, ::
tensorflow::Input
out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding, const
Conv3DBackpropInputV2::Attrs
& attrs)
|
Public static functions
|
DataFormat
(StringPiece x)
|
|
Dilations
(const gtl::ArraySlice< int > & x)
|
|
Public attributes
Public functions
Public static functions
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[],null,["# tensorflow::ops::Conv3DBackpropInputV2 Class Reference\n\ntensorflow::\nops::\nConv3DBackpropInputV2\n========================================\n\n`\n#include \u003cnn_ops.h\u003e\n`\n\n\nComputes the gradients of 3-D convolution with respect to the input.\n\nSummary\n-------\n\n\nArgs:\n\n- scope: A [Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input_sizes: An integer vector representing the tensor shape of `\n input\n ` , where `\n input\n ` is a 5-D `\n [batch, depth, rows, cols, in_channels]\n ` tensor.\n- filter: Shape `\n [depth, rows, cols, in_channels, out_channels]\n ` . `\n in_channels\n ` must match between `\n input\n ` and `\n filter\n ` .\n- out_backprop: Backprop signal of shape `\n [batch, out_depth, out_rows, out_cols, out_channels]\n ` .\n- strides: 1-D tensor of length 5. The stride of the sliding window for each dimension of `\n input\n ` . Must have `\n strides[0] = strides[4] = 1\n ` .\n- padding: The type of padding algorithm to use.\n\n\u003cbr /\u003e\n\n\nOptional attributes (see\n`\n`[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/conv3-d-backprop-input-v2/attrs#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1_1_attrs)`\n`\n):\n\n- 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\\].\n- dilations: 1-D tensor of length 5. The dilation factor for each dimension of `\n input\n ` . If set to k \\\u003e 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value of `\n data_format\n ` , see above for details. Dilations in the batch and depth dimensions must be 1.\n\n\u003cbr /\u003e\n\n\nReturns:\n\n- `\n `[Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)`\n ` : The output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| ` `[Conv3DBackpropInputV2](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1aaae19e097fea9d7fc6f815e20faaccd6)` (const :: `[tensorflow::Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_sizes, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` filter, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` out_backprop, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding) ` ||\n| ` `[Conv3DBackpropInputV2](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a5c69778ddcd70862d70f7d3630d179c3)` (const :: `[tensorflow::Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_sizes, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` filter, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` out_backprop, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding, const `[Conv3DBackpropInputV2::Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/conv3-d-backprop-input-v2/attrs#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1_1_attrs)` & attrs) ` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a67a6ca650c6870d418f1fdd658f3fa6b)` ` | ` `[Operation](/versions/r2.6/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n| ` `[output](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1af0d983aaf022b911e25e9f0615b62c20)` ` | ` :: `[tensorflow::Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)` ` |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------------------------|--------------------------|\n| ` `[node](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1adb36b7921921ed6c8a2684a8df5cc0ae)` () const ` | ` ::tensorflow::Node * ` |\n| ` `[operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a0c617c40ac75a3540b1280f1e02147ed)` () const ` | ` ` |\n| ` `[operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a8b8868a10a3fac1cb6623b75a7bd556d)` () const ` | ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| ` `[DataFormat](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a5a0f9e531569a6645dc6eb72894476c5)` (StringPiece x) ` | ` `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/conv3-d-backprop-input-v2/attrs#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1_1_attrs)` ` |\n| ` `[Dilations](#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a7c96359abb43990fc21d1cf52f468a1b)` (const gtl::ArraySlice\u003c int \u003e & x) ` | ` `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/conv3-d-backprop-input-v2/attrs#structtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1_1_attrs)` ` |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow:: ops:: Conv3DBackpropInputV2:: Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/conv3-d-backprop-input-v2/attrs) | Optional attribute setters for [Conv3DBackpropInputV2](/versions/r2.6/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2) . |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### Conv3DBackpropInputV2\n\n```gdscript\n Conv3DBackpropInputV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input_sizes,\n ::tensorflow::Input filter,\n ::tensorflow::Input out_backprop,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding\n)\n``` \n\n### Conv3DBackpropInputV2\n\n```gdscript\n Conv3DBackpropInputV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input_sizes,\n ::tensorflow::Input filter,\n ::tensorflow::Input out_backprop,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding,\n const Conv3DBackpropInputV2::Attrs & attrs\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n``` \n\nPublic static functions\n-----------------------\n\n### DataFormat\n\n```text\nAttrs DataFormat(\n StringPiece x\n)\n``` \n\n### Dilations\n\n```gdscript\nAttrs Dilations(\n const gtl::ArraySlice\u003c int \u003e & x\n)\n```"]]
