# tensorflow::ops::Conv2D::Attrs

`#include <nn_ops.h>`

Optional attribute setters for [Conv2D](https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/conv2-d#classtensorflow_1_1ops_1_1_conv2_d).

## Summary

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs_1a826b92a551e53c7d7e3f8990dbbdc328 = "NHWC"` | `StringPiece` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs_1a38cfe8f5a9fd31568b79caff3d5db53f = Default_dilations()` | `gtl::ArraySlice< int >` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs_1af6a0a48d47098676589b0c23d6615b73 = {}` | `gtl::ArraySlice< int >` |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs_1ac0181cd1c99e758fff22f356f9c51f12 = true` | `bool` |

| ### Public functions ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs_1abafbedb30c29ed091ff37895bd8b6c6a(StringPiece x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs` Specify the data format of the input and output data. |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs_1a16869b39ea0a373acb40566ed4235eb1(const gtl::ArraySlice< int > & x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs` 1-D tensor of length 4. |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs_1a69865f8fd6ea1e16ccc3e4b794ed3b56(const gtl::ArraySlice< int > & x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs` If `padding` is `"EXPLICIT"`, the list of explicit padding amounts. |
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs_1a6fb079456a188df93e329f61671ff674(bool x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/conv2-d/attrs#structtensorflow_1_1ops_1_1_conv2_d_1_1_attrs` Defaults to true. |

## Public attributes

### data_format_

```
StringPiece tensorflow::ops::Conv2D::Attrs::data_format_ = "NHWC"
```

### dilations_

```
gtl::ArraySlice< int > tensorflow::ops::Conv2D::Attrs::dilations_ = Default_dilations()
```

### explicit_paddings_

```
gtl::ArraySlice< int > tensorflow::ops::Conv2D::Attrs::explicit_paddings_ = {}
```

### use_cudnn_on_gpu_

```
bool tensorflow::ops::Conv2D::Attrs::use_cudnn_on_gpu_ = true
```

## Public functions

### DataFormat

```
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2D::Attrs::DataFormat(
  StringPiece x
)
```
Specify the data format of the input and output data.

With the default format "NHWC", the data is stored in the order of: \[batch, height, width, channels\]. Alternatively, the format could be "NCHW", the data storage order of: \[batch, channels, height, width\].

Defaults to "NHWC"

### Dilations

```
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2D::Attrs::Dilations(
  const gtl::ArraySlice< int > & x
)
```
1-D tensor of length 4.

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.

Defaults to \[1, 1, 1, 1\]

### ExplicitPaddings

```
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2D::Attrs::ExplicitPaddings(
  const gtl::ArraySlice< int > & x
)
```
If `padding` is `"EXPLICIT"`, the list of explicit padding amounts.

For the ith dimension, the amount of padding inserted before and after the dimension is `explicit_paddings[2 * i]` and `explicit_paddings[2 * i + 1]`, respectively. If `padding` is not `"EXPLICIT"`, `explicit_paddings` must be empty.

Defaults to \[\]

### UseCudnnOnGpu

```
TF_MUST_USE_RESULT Attrs tensorflow::ops::Conv2D::Attrs::UseCudnnOnGpu(
  bool x
)
```
Defaults to true.