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for i in range(len(self.module_list)): | |
module_type = self.blocks[i + 1]["type"] | |
if module_type == "convolutional": | |
model = self.module_list[i] | |
try: | |
batch_normalize = int(self.blocks[i+1]["batch_normalize"]) | |
except: | |
batch_normalize = 0 |
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