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tf.contrib.layers.avg_pool3d

Adds a 3D average pooling op.

tf.contrib.layers.avg_pool3d(
    inputs,
    kernel_size,
    stride=2,
    padding='VALID',
    data_format=DATA_FORMAT_NDHWC,
    outputs_collections=None,
    scope=None
)

Defined in contrib/layers/python/layers/layers.py.

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.