# tensorflow::ops::MaxPool3DGrad Class Reference

# tensorflow::
ops::
MaxPool3DGrad

`
#include <nn_ops.h>
`


Computes gradients of 3D max pooling function.

## Summary


Args:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object
- orig_input: The original input tensor.
- orig_output: The original output tensor.
- grad: [Output](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) backprop of shape `
  [batch, depth, rows, cols, channels]
  ` .
- ksize: 1-D tensor of length 5. The size of the window for each dimension of the input tensor. Must have `
  ksize[0] = ksize[4] = 1
  ` .
- 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/max-pool3-d-grad/attrs#structtensorflow_1_1ops_1_1_max_pool3_d_grad_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: \[batch, in_channels, in_depth, in_height, in_width\].

<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/max-pool3-d-grad#classtensorflow_1_1ops_1_1_max_pool3_d_grad_1a05674c5126e06f5b33e87233f59901d7 (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 orig_input, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input orig_output, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding) ` ||
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/max-pool3-d-grad#classtensorflow_1_1ops_1_1_max_pool3_d_grad_1a4bc219b5c3f10c4d5a9092a999866e3e (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 orig_input, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input orig_output, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding, const https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/max-pool3-d-grad/attrs#structtensorflow_1_1ops_1_1_max_pool3_d_grad_1_1_attrs & attrs) ` ||

| ### Public attributes ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/max-pool3-d-grad#classtensorflow_1_1ops_1_1_max_pool3_d_grad_1ae3fefa208dbc3958208e5e060e4b71de ` | ` 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/max-pool3-d-grad#classtensorflow_1_1ops_1_1_max_pool3_d_grad_1a85663a2213c5a89d41ecca2677ef8b43 ` | ` :: 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/max-pool3-d-grad#classtensorflow_1_1ops_1_1_max_pool3_d_grad_1a80e4a43345bff4add4ba6148719cf539 () const ` | ` ::tensorflow::Node * ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/max-pool3-d-grad#classtensorflow_1_1ops_1_1_max_pool3_d_grad_1a012b944016984cf71a26efa65a84bc66 () const ` | ` ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/max-pool3-d-grad#classtensorflow_1_1ops_1_1_max_pool3_d_grad_1ade03961a1c35343ac9a97fdaf17880eb () const ` | ` ` |

| ### Public static functions ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/max-pool3-d-grad#classtensorflow_1_1ops_1_1_max_pool3_d_grad_1a3bb08e05ed5ccdd98f71ccbe64ccb8c0 (StringPiece x) ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/max-pool3-d-grad/attrs#structtensorflow_1_1ops_1_1_max_pool3_d_grad_1_1_attrs ` |

| ### Structs ||
|---|---|
| [tensorflow:: ops:: MaxPool3DGrad:: Attrs](https://www.tensorflow.org/versions/r2.5/api_docs/cc/struct/tensorflow/ops/max-pool3-d-grad/attrs) | Optional attribute setters for [MaxPool3DGrad](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/max-pool3-d-grad#classtensorflow_1_1ops_1_1_max_pool3_d_grad) . |

## Public attributes

### operation

```
Operation operation
```

### output

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

## Public functions

### MaxPool3DGrad

```
 MaxPool3DGrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input orig_input,
  ::tensorflow::Input orig_output,
  ::tensorflow::Input grad,
  const gtl::ArraySlice< int > & ksize,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding
)
```

### MaxPool3DGrad

```
 MaxPool3DGrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input orig_input,
  ::tensorflow::Input orig_output,
  ::tensorflow::Input grad,
  const gtl::ArraySlice< int > & ksize,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding,
  const MaxPool3DGrad::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
)
```