# tf.raw_ops.MaxPoolGradGrad

<br />

Computes second-order gradients of the maxpooling function.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.MaxPoolGradGrad`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/MaxPoolGradGrad)

<br />

    tf.raw_ops.MaxPoolGradGrad(
        orig_input,
        orig_output,
        grad,
        ksize,
        strides,
        padding,
        data_format='NHWC',
        name=None
    )

<br />

<br />

<br />

| ## Args ||
|---|---|
| `orig_input` | A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`. The original input tensor. |
| `orig_output` | A `Tensor`. Must have the same type as `orig_input`. The original output tensor. |
| `grad` | A `Tensor`. Must have the same type as `orig_input`. 4-D. Gradients of gradients w.r.t. the input of `max_pool`. |
| `ksize` | A list of `ints` that has length `>= 4`. The size of the window for each dimension of the input tensor. |
| `strides` | A list of `ints` that has length `>= 4`. The stride of the sliding window for each dimension of the input tensor. |
| `padding` | A `string` from: `"SAME", "VALID"`. The type of padding algorithm to use. |
| `data_format` | An optional `string` from: `"NHWC", "NCHW"`. Defaults to `"NHWC"`. Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: \[batch, in_height, in_width, in_channels\]. Alternatively, the format could be "NCHW", the data storage order of: \[batch, in_channels, in_height, in_width\]. |
| `name` | A name for the operation (optional). |

<br />

<br />

<br />

<br />

| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `orig_input`. ||

<br />