import numpy
[docs]class Initializer(object):
"""Initializes array.
It initializes the given array.
Attributes:
dtype: Data type specifier. It is for type check in ``__call__``
function.
"""
def __init__(self, dtype=None):
self.dtype = dtype
[docs] def __call__(self, array):
"""Initializes given array.
This method destructively changes the value of array.
The derived class is required to implement this method.
The algorithms used to make the new values depend on the
concrete derived classes.
Args:
array (numpy.ndarray or cupy.ndarray):
An array to be initialized by this initializer.
"""
raise NotImplementedError()
# Original code forked from MIT licensed keras project
# https://github.com/fchollet/keras/blob/master/keras/initializations.py
def get_fans(shape):
if not isinstance(shape, tuple):
raise ValueError('shape must be tuple')
if len(shape) < 2:
raise ValueError('shape must be of length >= 2: shape={}', shape)
fan_in = numpy.prod(shape[1:])
fan_out = shape[0]
return fan_in, fan_out