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114 lines
3.9 KiB
114 lines
3.9 KiB
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from .layers import LayerOutput, mixed_layer, identity_projection, \
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slope_intercept_layer, scaling_layer, repeat_layer
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from .attrs import is_compatible_with
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from .default_decorators import *
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import activations as act
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from paddle.trainer.config_parser import logger
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__all__ = []
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def register_unary_math_op(op_name, act):
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def op(input, name=None):
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return mixed_layer(
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input=[identity_projection(input=input)], name=name, act=act)
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op = wrap_name_default(op_name)(op)
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op.__doc__ = type(act).__doc__
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globals()[op_name] = op
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__all__.append(op_name)
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register_unary_math_op('exp', act.ExpActivation())
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register_unary_math_op('log', act.LogActivation())
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register_unary_math_op('abs', act.AbsActivation())
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register_unary_math_op('sigmoid', act.SigmoidActivation())
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register_unary_math_op('tanh', act.TanhActivation())
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register_unary_math_op('square', act.SquareActivation())
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register_unary_math_op('relu', act.ReluActivation())
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register_unary_math_op('sqrt', act.SqrtActivation())
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register_unary_math_op('reciprocal', act.ReciprocalActivation())
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def add(layeroutput, other):
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if is_compatible_with(other, float):
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return slope_intercept_layer(input=layeroutput, intercept=other)
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if not isinstance(other, LayerOutput):
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logger.fatal("LayerOutput can only be added with"
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" another LayerOutput or a number")
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if layeroutput.size == other.size:
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return mixed_layer(input=[
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identity_projection(input=layeroutput),
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identity_projection(input=other)
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])
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if other.size != 1 and layeroutput.size != 1:
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logger.fatal("Two LayerOutput can be added only if they have equal size"
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" or one of their sizes is 1. sizes are %s and %s" %
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(layeroutput.size, other.size))
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elif layeroutput.size == 1:
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tmp = layeroutput
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layeroutput = other
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other = tmp
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other = repeat_layer(other, layeroutput.size)
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return mixed_layer(input=[
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identity_projection(input=layeroutput), identity_projection(input=other)
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])
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LayerOutput.__radd__ = add
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LayerOutput.__add__ = add
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def sub(layeroutput, other):
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if is_compatible_with(other, float):
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return slope_intercept_layer(input=layeroutput, intercept=-other)
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if not isinstance(other, LayerOutput):
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logger.fatal("LayerOutput can only be subtracted with"
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" another Layeroutput or a number")
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neg = slope_intercept_layer(input=other, slope=-1.0)
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return add(layeroutput, neg)
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LayerOutput.__sub__ = sub
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def rsub(layeroutput, other):
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neg = slope_intercept_layer(input=layeroutput, slope=-1.0)
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return add(neg, other)
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LayerOutput.__rsub__ = rsub
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def mul(layeroutput, other):
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if is_compatible_with(other, float):
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return slope_intercept_layer(input=layeroutput, slope=other)
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if not isinstance(other, LayerOutput):
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logger.fatal("LayerOutput can only be multiplied with"
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" another Layeroutput or a number")
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elif layeroutput.size == 1:
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return scaling_layer(input=other, weight=layeroutput)
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elif other.size == 1:
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return scaling_layer(input=layeroutput, weight=other)
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else:
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logger.fatal("At least one of the operand of '*' must be a number"
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" or a LayerOutput with size=1")
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LayerOutput.__mul__ = mul
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LayerOutput.__rmul__ = mul
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