tf.raw_ops.Conv3DBackpropInput

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

Compat aliases for migration

tf.compat.v1.raw_ops.Conv3DBackpropInput

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

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).

Returns
A `Tensor`. Has the same type as `input`.

Args