# tensorflow::ops::Conv3D

`#include <nn_ops.h>`

Computes a 3-D convolution given 5-D `input` and `filter` tensors.

## Summary

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](https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv3-d#classtensorflow_1_1ops_1_1_conv3_d) implements a form of cross-correlation.

Arguments:

- scope: A [Scope](https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_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.

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Optional attributes (see `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv3-d/attrs#structtensorflow_1_1ops_1_1_conv3_d_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/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output`: The output tensor.

<br />

| ### Constructors and Destructors ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv3-d#classtensorflow_1_1ops_1_1_conv3_d_1aef63039997c4f9586d2b8627e3cf5c5a(const ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input filter, const gtl::ArraySlice< int > & strides, StringPiece padding)` ||
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv3-d#classtensorflow_1_1ops_1_1_conv3_d_1abb396c1cb8bf48f57ad11862ac7406ad(const ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input input, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input filter, const gtl::ArraySlice< int > & strides, StringPiece padding, const https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv3-d/attrs#structtensorflow_1_1ops_1_1_conv3_d_1_1_attrs & attrs)` ||

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv3-d#classtensorflow_1_1ops_1_1_conv3_d_1a34a87b1c84b82ab0a1dec637ee277ced` | `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv3-d#classtensorflow_1_1ops_1_1_conv3_d_1a426b9a63272f1905184fdfd1b78ba33a` | `::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output` |

| ### Public functions ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv3-d#classtensorflow_1_1ops_1_1_conv3_d_1a33ab1a0f2fa69089a8f835175d1dc732() const ` | `::tensorflow::Node *` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv3-d#classtensorflow_1_1ops_1_1_conv3_d_1a418b91ef5b6437901248965d572533e5() const ` | ` `` ` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv3-d#classtensorflow_1_1ops_1_1_conv3_d_1abebfb46d5b9c472aebb4f25ad6d2eeb6() const ` | ` `` ` |

| ### Public static functions ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv3-d#classtensorflow_1_1ops_1_1_conv3_d_1a148ca9c798353ee9073c60f57e45a41f(StringPiece x)` | `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv3-d/attrs#structtensorflow_1_1ops_1_1_conv3_d_1_1_attrs` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv3-d#classtensorflow_1_1ops_1_1_conv3_d_1a90d138624ebc69f365e225d25ece6e2a(const gtl::ArraySlice< int > & x)` | `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv3-d/attrs#structtensorflow_1_1ops_1_1_conv3_d_1_1_attrs` |

| ### Structs ||
|---|---|
| [tensorflow::ops::Conv3D::Attrs](https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv3-d/attrs) | Optional attribute setters for [Conv3D](https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv3-d#classtensorflow_1_1ops_1_1_conv3_d). |

## Public attributes

### operation

```
Operation operation
```

### output

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

## Public functions

### Conv3D

```
 Conv3D(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input filter,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding
)
```

### Conv3D

```
 Conv3D(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input filter,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding,
  const Conv3D::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
)
```