tf.raw_ops.ConcatOffset
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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/ConcatOffset