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chainer_chemistry.links.GraphBatchNormalization¶

class chainer_chemistry.links.GraphBatchNormalization(size=None, decay=0.9, eps=2e-05, dtype=None, use_gamma=True, use_beta=True, initial_gamma=None, initial_beta=None, axis=None, initial_avg_mean=None, initial_avg_var=None)[source]¶

Graph Batch Normalization layer.

See also

chainer.links.BatchNormalization

__init__(size=None, decay=0.9, eps=2e-05, dtype=None, use_gamma=True, use_beta=True, initial_gamma=None, initial_beta=None, axis=None, initial_avg_mean=None, initial_avg_var=None)¶

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

Methods

__init__([size, decay, eps, dtype, …]) Initialize self.
add_hook(hook[, name]) Registers a link hook.
add_param(name[, shape, dtype, initializer]) Registers a parameter to the link.
add_persistent(name, value) Registers a persistent value to the link.
addgrads(link) Accumulates gradient values from given link.
children() Returns a generator of all child links.
cleargrads() Clears all gradient arrays.
copy([mode]) Copies the link hierarchy to new one.
copyparams(link[, copy_persistent]) Copies all parameters from given link.
count_params() Counts the total number of parameters.
delete_hook(name) Unregisters the link hook.
disable_update() Disables update rules of all parameters under the link hierarchy.
enable_update() Enables update rules of all parameters under the link hierarchy.
forward(self, x[, finetune]) Invokes the forward propagation of BatchNormalization.
init_scope() Creates an initialization scope.
links([skipself]) Returns a generator of all links under the hierarchy.
namedlinks([skipself]) Returns a generator of all (path, link) pairs under the hierarchy.
namedparams([include_uninit]) Returns a generator of all (path, param) pairs under the hierarchy.
params([include_uninit]) Returns a generator of all parameters under the link hierarchy.
register_persistent(name) Registers an attribute of a given name as a persistent value.
repeat(n_repeat[, mode]) Repeats this link multiple times to make a Sequential.
serialize(serializer) Serializes the link object.
start_finetuning() Resets the population count for collecting population statistics.
to_cpu() Copies parameter variables and persistent values to CPU.
to_gpu([device]) Copies parameter variables and persistent values to GPU.
to_intel64() Copies parameter variables and persistent values to CPU.
zerograds() Initializes all gradient arrays by zero.

Attributes

avg_mean
avg_var
beta
gamma
local_link_hooks Ordered dictionary of registered link hooks.
update_enabled True if at least one parameter has an update rule enabled.
within_init_scope True if the current code is inside of an initialization scope.
xp Array module for this link.

© Copyright 2017, Preferred Networks, Inc. Revision d1c6859a.

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