# tf.raw_ops.MaxPoolGradGradWithArgmax

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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.MaxPoolGradGradWithArgmax`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/MaxPoolGradGradWithArgmax)

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    tf.raw_ops.MaxPoolGradGradWithArgmax(
        input,
        grad,
        argmax,
        ksize,
        strides,
        padding,
        include_batch_in_index=False,
        name=None
    )

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| ## Args ||
|---|---|
| `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. |
| `grad` | A `Tensor`. Must have the same type as `input`. 4-D with shape `[batch, height, width, channels]`. Gradients w.r.t. the input of `max_pool`. |
| `argmax` | A `Tensor`. Must be one of the following types: `int32`, `int64`. The indices of the maximum values chosen for each output 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. |
| `include_batch_in_index` | An optional `bool`. Defaults to `False`. Whether to include batch dimension in flattened index of `argmax`. |
| `name` | A name for the operation (optional). |

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

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