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