Max pooling layer for 3D inputs (e.g.
tf.compat.v1.layers.max_pooling3d( inputs, pool_size, strides, padding='valid', data_format='channels_last', name=None )
volumes).
Arguments | |
---|---|
inputs | The tensor over which to pool. Must have rank 5. |
pool_size | An integer or tuple/list of 3 integers: (pool_depth, pool_height, pool_width) specifying the size of the pooling window. Can be a single integer to specify the same value for all spatial dimensions. |
strides | An integer or tuple/list of 3 integers, specifying the strides of the pooling operation. Can be a single integer to specify the same value for all spatial dimensions. |
padding | A string. The padding method, either 'valid' or 'same'. Case-insensitive. |
data_format | A string. The ordering of the dimensions in the inputs. channels_last (default) and channels_first are supported. channels_last corresponds to inputs with shape (batch, depth, height, width, channels) while channels_first corresponds to inputs with shape (batch, channels, depth, height, width) . |
name | A string, the name of the layer. |
Returns | |
---|---|
Output tensor. |
Raises | |
---|---|
ValueError | if eager execution is enabled. |
© 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/r2.4/api_docs/python/tf/compat/v1/layers/max_pooling3d