From f9e6aa2c31aa6bc5269cd66eaa8705b0b98af989 Mon Sep 17 00:00:00 2001 From: qiaolongfei Date: Thu, 2 Mar 2017 15:23:19 +0800 Subject: [PATCH] refine code --- python/paddle/v2/config_base.py | 12 ++++++---- python/paddle/v2/layer.py | 40 +++++++++++++++++---------------- 2 files changed, 29 insertions(+), 23 deletions(-) diff --git a/python/paddle/v2/config_base.py b/python/paddle/v2/config_base.py index 573539a30..fa2ccec6c 100644 --- a/python/paddle/v2/config_base.py +++ b/python/paddle/v2/config_base.py @@ -19,7 +19,7 @@ import paddle.trainer_config_helpers as conf_helps class Layer(object): - def __init__(self, name=None, size=None, parent_layers=None): + def __init__(self, name=None, parent_layers=None): assert isinstance(parent_layers, dict) self.name = name self.__contex__ = {} @@ -64,7 +64,12 @@ class Layer(object): def use_context_name(self): return False - def calcalted_size(self): + def calculate_size(self): + """ + lazy calculate size of the layer, should be called when to_proto_impl of + this layer is called. + :return: + """ return self.__contex__[self.context_name()].size @@ -87,8 +92,7 @@ def __convert_to_v2__(method_name, parent_names, is_default_name=True): other_kwargs[key] = kwargs[key] name = kwargs.get('name', None) - size = kwargs.get('size', None) - super(V2LayerImpl, self).__init__(name, size, parent_layers) + super(V2LayerImpl, self).__init__(name, parent_layers) self.__other_kwargs__ = other_kwargs if wrapper is not None: diff --git a/python/paddle/v2/layer.py b/python/paddle/v2/layer.py index a97518ed5..0d8b59cfd 100644 --- a/python/paddle/v2/layer.py +++ b/python/paddle/v2/layer.py @@ -139,10 +139,10 @@ class WithExtraParent(Layer): def extra_parent(self): return self.__extra_parent__ - def __init__(self, name=None, size=None, parent_layers=None): + def __init__(self, name=None, parent_layers=None): self.__extra_parent__ = [] super(WithExtraParent, self).__init__( - name=name, size=size, parent_layers=parent_layers) + name=name, parent_layers=parent_layers) def append_extra_parent(self, parent): self.__extra_parent__.append(parent) @@ -178,11 +178,9 @@ class WithExtraParent(Layer): class MemoryV2(WithExtraParent): - def __init__(self, name, size, **kwargs): + def __init__(self, name, **kwargs): self.name = name - self.size = size - super(MemoryV2, self).__init__( - name=name, size=size, parent_layers=dict()) + super(MemoryV2, self).__init__(name=name, parent_layers=dict()) self.__kwargs__ = kwargs self.__boot_layer_name__ = None if 'boot_layer' in kwargs: @@ -221,11 +219,14 @@ class MemoryV2(WithExtraParent): if self.__boot_layer_name__ is not None: args['boot_layer'] = context[self.__boot_layer_name__] - if callable(self.size): - real_size = self.size() - else: - real_size = self.size - args['size'] = real_size + size = args.get('size', None) + if size is not None: + if callable(size): + real_size = size() + else: + real_size = size + print(real_size) + args['size'] = real_size return conf_helps.memory(name=self.name, **args) def context_name(self): @@ -298,7 +299,7 @@ class MixedLayerV2(Layer): other_kwargs['bias_attr'] = bias_attr other_kwargs['layer_attr'] = layer_attr parent_layers = {"input": self.__inputs__} - super(MixedLayerV2, self).__init__(name, size, parent_layers) + super(MixedLayerV2, self).__init__(name, parent_layers) self.__other_kwargs__ = other_kwargs def __iadd__(self, other): @@ -322,11 +323,12 @@ class MixedLayerV2(Layer): for each in self.__other_kwargs__: args[each] = self.__other_kwargs__[each] size = args.get('size', None) - if callable(size): - real_size = size() - else: - real_size = size - args['size'] = real_size + if size is not None: + if callable(size): + real_size = size() + else: + real_size = size + args['size'] = real_size return getattr(conf_helps, self.__method_name__)(**args) @@ -473,11 +475,11 @@ def recurrent_group(step, input, name=None): mem = memory( name=mem_name, is_seq=static_input.is_seq, - size=static_input.input.calcalted_size, + size=static_input.input.calculate_size, boot_layer=static_input.input) with mixed( name=mem_name, - size=static_input.input.calcalted_size, + size=static_input.input.calculate_size, act=activation.Identity()) as mix: mix += identity_projection(input=mem) rnn_input.insert(input.index(static_input), mix) -- GitLab