36 lines
1001 B
Python
36 lines
1001 B
Python
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import numpy as np
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from torch import nn
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import paddle.fluid.dygraph as dg
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def summary(layer):
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num_params = num_elements = 0
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print("layer summary:")
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for name, param in layer.state_dict().items():
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print("{}|{}|{}".format(name, param.shape, np.prod(param.shape)))
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num_elements += np.prod(param.shape)
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num_params += 1
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print("layer has {} parameters, {} elements.".format(
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num_params, num_elements))
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def freeze(layer):
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for param in layer.parameters():
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param.trainable = False
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def unfreeze(layer):
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for param in layer.parameters():
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param.trainable = True
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def torch_summary(layer):
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num_params = num_elements = 0
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print("layer summary:")
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for name, param in layer.named_parameters():
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print("{}|{}|{}".format(name, param.shape, np.prod(param.shape)))
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num_elements += np.prod(param.shape)
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num_params += 1
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print("layer has {} parameters, {} elements.".format(
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num_params, num_elements))
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