# tf.raw_ops.Conv3DBackpropInput

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Computes the gradients of 3-D convolution with respect to the input.

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.raw_ops.Conv3DBackpropInput`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/Conv3DBackpropInput)

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    tf.raw_ops.Conv3DBackpropInput(
        input,
        filter,
        out_backprop,
        strides,
        padding,
        dilations=[1, 1, 1, 1, 1],
        name=None
    )

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| ## Args ||
|---|---|
| `input` | A `Tensor`. Must be one of the following types: `half`, `float32`, `float64`. Shape `[batch, depth, rows, cols, in_channels]`. |
| `filter` | A `Tensor`. Must have the same type as `input`. Shape `[depth, rows, cols, in_channels, out_channels]`. `in_channels` must match between `input` and `filter`. |
| `out_backprop` | A `Tensor`. Must have the same type as `input`. Backprop signal of shape `[batch, out_depth, out_rows, out_cols, out_channels]`. |
| `strides` | A list of `ints` that has length `>= 5`. 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` | A `string` from: `"SAME", "VALID"`. The type of padding algorithm to use. |
| `dilations` | An optional list of `ints`. Defaults to `[1, 1, 1, 1, 1]`. |
| `name` | A name for the operation (optional). |

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

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