tf.contrib.framework.convolutional_orthogonal_2d

Class convolutional_orthogonal_2d

Defined in tensorflow/python/ops/init_ops.py.

Initializer that generates a 2D orthogonal kernel for ConvNets.

The shape of the tensor must have length 4. The number of input filters must not exceed the number of output filters. The orthogonality(==isometry) is exact when the inputs are circular padded. There are finite-width effects with non-circular padding (e.g. zero padding). See algorithm 1 in (Xiao et al., 2018).

Args:

• gain: Multiplicative factor to apply to the orthogonal matrix. Default is 1. This has the effect of scaling the output 2-norm by a factor of gain.
• seed: A Python integer. Used to create random seeds. See tf.set_random_seed for behavior.
• dtype: Default data type, used if no dtype argument is provided when calling the initializer. Only floating point types are supported.

References: Xiao et al., 2018 (pdf)

__init__

__init__(
    gain=1.0,
    seed=None,
    dtype=tf.dtypes.float32
)

Initialize self. See help(type(self)) for accurate signature.

Methods

tf.contrib.framework.convolutional_orthogonal_2d.__call__

__call__(
    shape,
    dtype=None,
    partition_info=None
)

Returns a tensor object initialized as specified by the initializer.

Args:

• shape: Shape of the tensor.
• dtype: Optional dtype of the tensor. If not provided use the initializer dtype.
• partition_info: Optional information about the possible partitioning of a tensor.

tf.contrib.framework.convolutional_orthogonal_2d.from_config

from_config(
    cls,
    config
)

Instantiates an initializer from a configuration dictionary.

Example:

initializer = RandomUniform(-1, 1)
config = initializer.get_config()
initializer = RandomUniform.from_config(config)

Args:

• config: A Python dictionary. It will typically be the output of get_config.

Returns:

An Initializer instance.

tf.contrib.framework.convolutional_orthogonal_2d.get_config

get_config()

Returns the configuration of the initializer as a JSON-serializable dict.

Returns:

A JSON-serializable Python dict.