15 lines
472 B
Python
15 lines
472 B
Python
import numpy as np
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def print_arch(model, model_name='model'):
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print(f"| {model_name} Arch: ", model)
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num_params(model, model_name=model_name)
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def num_params(model, print_out=True, model_name="model"):
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parameters = filter(lambda p: p.requires_grad, model.parameters())
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parameters = sum([np.prod(p.size()) for p in parameters]) / 1_000_000
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if print_out:
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print(f'| {model_name} Trainable Parameters: %.3fM' % parameters)
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return parameters
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