Computes offsets of concat inputs within its output.
tf.raw_ops.ConcatOffset(
concat_dim, shape, name=None
)
For example:
# 'x' is [2, 2, 7]
# 'y' is [2, 3, 7]
# 'z' is [2, 5, 7]
concat_offset(2, [x, y, z]) => [0, 0, 0], [0, 2, 0], [0, 5, 0]
This is typically used by gradient computations for a concat operation.
Args | |
|---|---|
concat_dim
|
A Tensor of type int32.
The dimension along which to concatenate.
|
shape
|
A list of at least 2 Tensor objects with type int32.
The N int32 vectors representing shape of tensors being concatenated.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A list with the same length as shape of Tensor objects with type int32.
|