tf.contrib.layers.max_pool3d
Adds a 3D Max Pooling op.
tf.contrib.layers.max_pool3d(
inputs, kernel_size, stride=2, padding='VALID', data_format=DATA_FORMAT_NDHWC,
outputs_collections=None, scope=None
)
It is assumed that the pooling is done per image but not in batch or channels.
Args |
inputs
|
A 5-D tensor of shape [batch_size, depth, height, width, channels]
if data_format is NDHWC , and [batch_size, channels, depth, height,
width] if data_format is NCDHW .
|
kernel_size
|
A list of length 3: [kernel_depth, kernel_height, kernel_width]
of the pooling kernel over which the op is computed. Can be an int if both
values are the same.
|
stride
|
A list of length 3: [stride_depth, stride_height, stride_width]. Can
be an int if both strides are the same. Note that presently both strides
must have the same value.
|
padding
|
The padding method, either 'VALID' or 'SAME'.
|
data_format
|
A string. NDHWC (default) and NCDHW are supported.
|
outputs_collections
|
The collections to which the outputs are added.
|
scope
|
Optional scope for name_scope.
|
Returns |
A Tensor representing the results of the pooling operation.
|
Raises |
ValueError
|
If data_format is neither NDHWC nor NCDHW .
|
ValueError
|
If 'kernel_size' is not a 3-D list
|
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Last updated 2020-10-01 UTC.
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