a968bc8ae127d1e3833c2fa468858f9c48f6923c,batchflow/models/torch/layers/conv_block.py,BaseConvBlock,forward,#BaseConvBlock#Any#,284

Before Change

        b_counter, s_counter, c_counter = 0, 0, 0
        residuals = []

        for letter in self.module_layout:
            if letter == "_":
                x = self.block_modules[b_counter](x)
                b_counter += 1
            elif letter in self.SKIP_LETTERS:
                residuals += [self.skip_modules[s_counter](x)]
                s_counter += 1
            elif letter in self.COMBINE_LETTERS:
                x = self.combine_modules[c_counter]([x, residuals.pop()])
                c_counter += 1
        return x


    def fill_layer_params(self, layer_name, layer_class, inputs, counters):

After Change

    def forward(self, x):
        residuals = []

        for letter, layer in zip(self.layout, self.values()):
            if letter in self.SKIP_LETTERS:
                residuals += [layer(x)]
            elif letter in self.COMBINE_LETTERS:
                x = layer([x, residuals.pop()])
            else:
                x = layer(x)
        return x


    def fill_layer_params(self, layer_name, layer_class, inputs, counters):

Instances