# tensorflow::ops::Conv3DBackpropInputV2 Class Reference

# tensorflow::
ops::
Conv3DBackpropInputV2

`
#include <nn_ops.h>
`


Computes the gradients of 3-D convolution with respect to the input.

## Summary


Args:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_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.

<br />


Optional attributes (see
`
https://www.tensorflow.org/versions/r2.5/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
`
):

- 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.

<br />


Returns:

- `
  https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output
  ` : The output tensor.

<br />

| ### Constructors and Destructors ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1aaae19e097fea9d7fc6f815e20faaccd6 (const :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input_sizes, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input filter, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding) ` ||
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a5c69778ddcd70862d70f7d3630d179c3 (const :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input_sizes, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input filter, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input out_backprop, const gtl::ArraySlice< int > & strides, StringPiece padding, const https://www.tensorflow.org/versions/r2.5/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) ` ||

| ### Public attributes ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a67a6ca650c6870d418f1fdd658f3fa6b ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1af0d983aaf022b911e25e9f0615b62c20 ` | ` :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output ` |

| ### Public functions ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1adb36b7921921ed6c8a2684a8df5cc0ae () const ` | ` ::tensorflow::Node * ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a0c617c40ac75a3540b1280f1e02147ed () const ` | ` ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a8b8868a10a3fac1cb6623b75a7bd556d () const ` | ` ` |

| ### Public static functions ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a5a0f9e531569a6645dc6eb72894476c5 (StringPiece x) ` | ` https://www.tensorflow.org/versions/r2.5/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 ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2_1a7c96359abb43990fc21d1cf52f468a1b (const gtl::ArraySlice< int > & x) ` | ` https://www.tensorflow.org/versions/r2.5/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 ` |

| ### Structs ||
|---|---|
| [tensorflow:: ops:: Conv3DBackpropInputV2:: Attrs](https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/conv3-d-backprop-input-v2/attrs) | Optional attribute setters for [Conv3DBackpropInputV2](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/conv3-d-backprop-input-v2#classtensorflow_1_1ops_1_1_conv3_d_backprop_input_v2) . |

## Public attributes

### operation

```
Operation operation
```

### output

```
::tensorflow::Output output
```

## Public functions

### Conv3DBackpropInputV2

```
 Conv3DBackpropInputV2(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input_sizes,
  ::tensorflow::Input filter,
  ::tensorflow::Input out_backprop,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding
)
```

### Conv3DBackpropInputV2

```
 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
)
```

### node

```
::tensorflow::Node * node() const 
```

### operator::tensorflow::Input

```
 operator::tensorflow::Input() const 
```

### operator::tensorflow::Output

```
 operator::tensorflow::Output() const 
```

## Public static functions

### DataFormat

```
Attrs DataFormat(
  StringPiece x
)
```

### Dilations

```
Attrs Dilations(
  const gtl::ArraySlice< int > & x
)
```