Created
February 7, 2020 19:05
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print all the trainable parameters in a tensorflow model in current scope
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def print_total_parameters(): | |
total_parameters = 0 | |
for variable in tf.trainable_variables(): | |
# shape is an array of tf.Dimension | |
shape = variable.get_shape() | |
variable_parameters = 1 | |
for dim in shape: | |
variable_parameters *= dim.value | |
print('%s dim=%i shape=%s params=%i' % ( | |
variable.name, | |
len(shape), | |
shape, | |
variable_parameters, | |
)) | |
total_parameters += variable_parameters | |
print('total_parameters = %i' % (total_parameters)) |
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