from akida.core import (Layer, LayerParams, LayerType)
[docs]class MadNorm(Layer):
"""A function similar to the MAD normalization layer presented
in quantizeml. (Note that the normalization is only available over
the last dimension)
Instead of using the standard deviation (std) during the normalization
division, the sum of absolute values is used.
The normalization is performed in this way:
MadNorm(x) = x * gamma / sum(abs(x)) + beta
Args:
output_bits (int, optional): output bitwidth. Defaults to 8
buffer_bits (int, optional): buffer bitwidth. Defaults to 32.
name (str, optional): name of the layer. Defaults to empty string.
"""
def __init__(self,
output_bits=8,
buffer_bits=32,
name=""):
try:
params = LayerParams(
LayerType.MadNorm, {
"output_bits": output_bits,
"buffer_bits": buffer_bits,
})
# Call parent constructor to initialize C++ bindings
# Note that we invoke directly __init__ instead of using super, as
# specified in pybind documentation
Layer.__init__(self, params, name)
except BaseException:
self = None
raise