Coremltools：传递给优化器的意外关键字参数：learning_rate答案

【问题标题】：Coremltools: Unexpected keyword argument passed to optimizer: learning_rateCoremltools：传递给优化器的意外关键字参数：learning_rate
【发布时间】：2021-02-22 13:09:14
【问题描述】：

我正在使用以下代码将 keras 模型转换为 mlmodel：

import coremltools
import keras




output_labels = list(range(1, 43))
your_model = coremltools.converters.keras.convert('my_model.h5', input_names=['image'], output_names=['output'],
                                                   class_labels=output_labels, image_input_names='image')

#your_model.author = 'your name'
#your_model.short_description = 'Digit Recognition with MNIST'
#your_model.input_description['image'] = 'Takes as input an image'
#your_model.output_description['output'] = 'Prediction of Digit

your_model.save('your_model_name.mlmodel')

运行代码时出现以下错误：

Users/admin/PycharmProjects/TSR37/venv/bin/python /Users/admin/PycharmProjects/TSR37/coremlconverter.py
Traceback (most recent call last):
  File "/Users/admin/PycharmProjects/TSR37/coremlconverter.py", line 9, in <module>
    class_labels=output_labels, image_input_names='image')
  File "/Users/admin/PycharmProjects/TSR37/venv/lib/python3.7/site-packages/coremltools/converters/keras/_keras_converter.py", line 830, in convert
    use_float_arraytype=use_float_arraytype,
  File "/Users/admin/PycharmProjects/TSR37/venv/lib/python3.7/site-packages/coremltools/converters/keras/_keras_converter.py", line 607, in _convert_to_spec
    use_float_arraytype=use_float_arraytype,
  File "/Users/admin/PycharmProjects/TSR37/venv/lib/python3.7/site-packages/coremltools/converters/keras/_keras2_converter.py", line 353, in _convert
    model = _keras.models.load_model(model, custom_objects=custom_objects)
  File "/Users/admin/PycharmProjects/TSR37/venv/lib/python3.7/site-packages/keras/engine/saving.py", line 419, in load_model
    model = _deserialize_model(f, custom_objects, compile)
  File "/Users/admin/PycharmProjects/TSR37/venv/lib/python3.7/site-packages/keras/engine/saving.py", line 299, in _deserialize_model
    custom_objects=custom_objects)
  File "/Users/admin/PycharmProjects/TSR37/venv/lib/python3.7/site-packages/keras/optimizers.py", line 768, in deserialize
    printable_module_name='optimizer')
  File "/Users/admin/PycharmProjects/TSR37/venv/lib/python3.7/site-packages/keras/utils/generic_utils.py", line 147, in deserialize_keras_object
    return cls.from_config(config['config'])
  File "/Users/admin/PycharmProjects/TSR37/venv/lib/python3.7/site-packages/keras/optimizers.py", line 154, in from_config
    return cls(**config)
  File "/Users/admin/PycharmProjects/TSR37/venv/lib/python3.7/site-packages/keras/optimizers.py", line 460, in __init__
    super(Adam, self).__init__(**kwargs)
  File "/Users/admin/PycharmProjects/TSR37/venv/lib/python3.7/site-packages/keras/optimizers.py", line 79, in __init__
    'passed to optimizer: ' + str(k))
TypeError: Unexpected keyword argument passed to optimizer: learning_rate

Process finished with exit code 1

为什么会这样，我怎样才能让它发挥作用？我尝试更新 keras 和/或 tensorflow，但 coremltools 似乎仅适用于 keras 2.2.4 和 tensorflow 1.15.0

【问题讨论】：

标签： python tensorflow keras coremltools

【解决方案1】：

这可以通过在创建模型的环境和转换模型的环境中使用相同版本的 keras 和 tensorflow 来解决。

【讨论】：