可以看到model.add_sublayer()向模型中添加了一个paddle.nn.Linear子层,这样模型中总共有paddle.nn.Flatten和paddle.nn.Linear两个子层了。 1.2.3 修改子层 通过上述方法可以往模型中添加成千上万个子层,当模型中子层数量较多时,如何高效地对所有子层进行统一修改呢? Paddle提供了apply()接口。通过这个接...
foriinrange(groups): # add_sublayer方法:返回一个由所有子层组成的列表 conv2d = self.add_sublayer('bb_%d'% i, fluid.dygraph.Conv2D(num_channels=num_channels,# 通道数 num_filters=num_filters,# 卷积核个数 filter_size=filter_size,# 卷积核大小 stride=conv_stride,# 步长 padding=conv_paddi...
foriinrange(groups): # add_sublayer方法:返回一个由所有子层组成的列表 conv2d = self.add_sublayer('bb_%d'% i, fluid.dygraph.Conv2D(num_channels=num_channels,# 通道数 num_filters=num_filters,# 卷积核个数 filter_size=filter_size,# 卷积核大小 stride=conv_stride,# 步长 padding=conv_paddi...
elif cmd == "n": # add layer normalization self.functors.append( self.add_sublayer( # name "layer_norm_%d" % len( self.sublayers(include_sublayers=False)), LayerNorm( normalized_shape=d_model, # 需规范化的shape,如果是单个整数,则此模块将在最后一个维度上规范化(此时最后一维的维度需与...
layerinlayers:# add_sublayer方法会将layer添加到self._sub_layers(一个tuple)self.add_sublayer(name,layer)else:foridx,layerinenumerate(layers):self.add_sublayer(str(idx),layer)defforward(self,X):# OrderedDict保证了按照成员添加的顺序遍历它们forlayerinself._sub_layers.values():X=layer(X)return...
(self.cap_num): self.add_sublayer('u_hat_w'+str(j),fluid.dygraph.Linear(\ input_dim=pre_vector_units_num,output_dim=vector_units_num)) def squash(self,vector): ''' 压缩向量的函数,类似激活函数,向量归一化 Args: vector:一个4维张量 [batch_size,vector_num,vector_units_num,1] ...
= self.add_sublayer( name, ConvBNLayer( ch_in=512 // (2**i), ch_out=256 // (2**i), filter_size=1, stride=1, padding=0, norm_type=norm_type, name=name)) self.routes.append(route) def forward(self, blocks): assert len(blocks) == self.num_blocks blocks = blocks[::-1]...
element_wise_add(sub/mul/div/max等等) 这是对应元素操作系列,包含加减乘除 你可以使用这个api,也可以直接使用运算符+ - ,paddle已经重载了运算符 参数如下 - x 多维tensor - y 多维tensor - axis y维度对应x的索引,当我们需要对应元素操作时,这个不需要设置 - act 激活函数名称 ...
--- Running analysis [ir_analysis_pass] --- Running IR pass [simplify_with_basic_ops_pass] --- Running IR pass [layer_norm_fuse_pass] --- Running IR pass [attention_lstm_fuse_pass] --- Running IR pass [seqconv_eltadd_relu_fuse_pass] --- Running IR pass [seqpool_cvm_concat_...
add_sublayer(layer_name, layer(*args, **kwargs)) def forward(self, inputs): conv_left = self.conv1(inputs) conv_right = self.conv2(inputs) conv_left = self.conv_module(conv_left) if self.data_format == 'NCHW': conv = paddle.concat([conv_left, conv_right], axis=1...