| View source on GitHub |
Pads 5D tensor with zeros along the depth, height, width dimensions.
tf.keras.backend.spatial_3d_padding(
x, padding=((1, 1), (1, 1), (1, 1)), data_format=None
)
Pads these dimensions with respectively "padding[0]", "padding[1]" and "padding[2]" zeros left and right.
For 'channels_last' data_format, the 2nd, 3rd and 4th dimension will be padded. For 'channels_first' data_format, the 3rd, 4th and 5th dimension will be padded.
| Arguments | |
|---|---|
x | Tensor or variable. |
padding | Tuple of 3 tuples, padding pattern. |
data_format | One of channels_last or channels_first. |
| Returns | |
|---|---|
| A padded 5D tensor. |
| Raises | |
|---|---|
ValueError | if data_format is neither channels_last or channels_first. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/backend/spatial_3d_padding