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tf.contrib.layers.avg_pool2d(args, *kwargs)

tf.contrib.layers.avg_pool2d(*args, **kwargs)

See the guide: Layers (contrib) > Higher level ops for building neural network layers

Adds a 2D average pooling op.

It is assumed that the pooling is done per image but not in batch or channels.

Args:

  • inputs: A 4-D tensor of shape [batch_size, height, width, channels] if data_format is NHWC, and [batch_size, channels, height, width] if data_format is NCHW.
  • kernel_size: A list of length 2: [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 2: [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. NHWC (default) and NCHW 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 NHWC nor NCHW.

Defined in tensorflow/contrib/framework/python/ops/arg_scope.py.

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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/api_docs/python/tf/contrib/layers/avg_pool2d