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121 lines
4.0 KiB
121 lines
4.0 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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import layer
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import activation as act
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from config_base import Layer
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from paddle.trainer_config_helpers.attrs import is_compatible_with
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from paddle.trainer_config_helpers.default_decorators import wrap_name_default
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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 layer.mixed(
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input=[layer.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.Exp())
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__register_unary_math_op__('log', act.Log())
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__register_unary_math_op__('abs', act.Abs())
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__register_unary_math_op__('sigmoid', act.Sigmoid())
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__register_unary_math_op__('tanh', act.Tanh())
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__register_unary_math_op__('square', act.Square())
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__register_unary_math_op__('relu', act.Relu())
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__register_unary_math_op__('sqrt', act.Sqrt())
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__register_unary_math_op__('reciprocal', act.Reciprocal())
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__register_unary_math_op__('softmax', act.Softmax())
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def __add__(layeroutput, other):
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if is_compatible_with(other, float):
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return layer.slope_intercept(input=layeroutput, intercept=other)
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if not isinstance(other, Layer):
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raise TypeError("Layer can only be added with"
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" another Layer or a number")
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if layeroutput.size == other.size:
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return layer.mixed(input=[
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layer.identity_projection(input=layeroutput),
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layer.identity_projection(input=other)
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])
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if other.size != 1 and layeroutput.size != 1:
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raise TypeError("Two Layer 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 = layer.repeat(other, layeroutput.size)
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return layer.mixed(input=[
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layer.identity_projection(input=layeroutput),
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layer.identity_projection(input=other)
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])
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Layer.__radd__ = __add__
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Layer.__add__ = __add__
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def __neg__(layeroutput):
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return layer.slope_intercept(input=layeroutput, slope=-1.0)
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Layer.__neg__ = __neg__
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def __sub__(layeroutput, other):
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if is_compatible_with(other, float):
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return layer.slope_intercept(input=layeroutput, intercept=other)
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if not isinstance(other, Layer):
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raise TypeError("Layer can only be subtracted with"
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" another Layeroutput or a number")
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return __add__(layeroutput, -other)
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Layer.__sub__ = __sub__
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def __rsub__(layeroutput, other):
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neg = layer.slope_intercept(input=layeroutput, slope=-1.0)
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return __add__(neg, other)
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Layer.__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 layer.slope_intercept(input=layeroutput, slope=other)
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if not isinstance(other, Layer):
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raise TypeError("Layer can only be multiplied with"
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" another Layer or a number")
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elif layeroutput.size == 1:
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return layer.scaling(input=other, weight=layeroutput)
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elif other.size == 1:
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return layer.scaling(input=layeroutput, weight=other)
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else:
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raise TypeError("At least one of the operand of '*' must be a number"
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" or a Layer with size=1")
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Layer.__mul__ = __mul__
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Layer.__rmul__ = __mul__
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