code refine
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@ -22,9 +22,9 @@ resnet50 = torch.load(CurrentPath+'params.pth')
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resnet50.eval()
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# print("===========================")
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# print("===========================")
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# print("===========================")
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print("===========================")
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print("==========START============")
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print("===========================")
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# print(resnet50)
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@ -252,7 +252,6 @@ def genData(name, data):
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strgShape = strgShape + " };\n"
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def hook_fn(m, i, o):
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print(m)
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print("------------Input Grad------------")
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@ -394,7 +393,6 @@ resnet50.layer1._modules['2'].conv3.register_forward_hook(lambda m, i, o: hook_p
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resnet50.layer2._modules['0'].bn1.register_forward_hook(lambda m, i, o: hook_print("layer2_block0_bn1", m, i, o))
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resnet50.layer2._modules['0'].bn2.register_forward_hook(lambda m, i, o: hook_print("layer2_block0_bn2", m, i, o))
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resnet50.layer2._modules['0'].bn3.register_forward_hook(lambda m, i, o: hook_print("layer2_block0_bn3", m, i, o))
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@ -428,7 +426,6 @@ resnet50.layer2._modules['3'].conv3.register_forward_hook(lambda m, i, o: hook_p
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resnet50.layer3._modules['0'].bn1.register_forward_hook(lambda m, i, o: hook_print("layer3_block0_bn1", m, i, o))
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resnet50.layer3._modules['0'].bn2.register_forward_hook(lambda m, i, o: hook_print("layer3_block0_bn2", m, i, o))
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resnet50.layer3._modules['0'].bn3.register_forward_hook(lambda m, i, o: hook_print("layer3_block0_bn3", m, i, o))
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@ -515,9 +512,6 @@ shapefile.write(strgShape)
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binaryfile.close()
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weightfile.close()
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# print(strg)
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print("===========================")
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print("===========================")
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print("============END============")
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print("===========================")
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