Как правильно сохранить модель keras для возможности загрузки с помощью hub.Module ()? - PullRequest
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Как правильно сохранить модель keras для возможности загрузки с помощью hub.Module ()?

0 голосов
/ 29 апреля 2019

Я пытаюсь переобучить Inception v3 на новом наборе изображений.

При попытке сохранить модель я получаю сообщение об ошибке.

Я пытался: 

    tf.keras.models.save_model(model, filename)

и 

    model.save(filename)

и 

    tf.contrib.saved_model.save_keras_model(model, filename)

Все выдают мне похожую ошибку, у модуля нет ' name '

У меня естьприкрепил мой код, относящийся к проблеме. 

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import argparse
import os
import sys

import numpy as np
import tensorflow as tf
import tensorflow_hub as hub
import matplotlib.pyplot as plt

FLAGS = None

def create_model(m, img_data):
    # load feature extractor (inception_v3)
    features_extractor_layer = tf.keras.layers.Lambda(m, input_shape=img_data.image_shape)

    # make pre-trained layers un-trainable
    features_extractor_layer.trainable = False

    print(features_extractor_layer.name)

    # add new activation layer to train to our classes
    model = tf.keras.Sequential([
        features_extractor_layer,
        tf.keras.layers.Dense(img_data.num_classes, activation='softmax')
    ])

    model.compile(optimizer='adam',
                  loss='categorical_crossentropy',
                  metrics=['accuracy'])

    return model

def get_and_gen_images(module):
    """
    get images from image directory or url

    :param module: module (to get required image size info
    :return: batched image data
    """
    data_name = os.path.splitext(os.path.basename(FLAGS.image_dir_or_url))[0]
    print("data: ", data_name)

    # download images to cache if not already
    if FLAGS.image_dir_or_url.startswith('https://'):
        data_root = tf.keras.utils.get_file(data_name,
                                            FLAGS.image_dir_or_url,
                                            untar=True,
                                            cache_dir=os.getcwd())
    else:   # specify directory with images
        data_root = tf.keras.utils.get_file(data_name,
                                            FLAGS.image_dir_or_url)

    # get image size for specific module
    image_size = hub.get_expected_image_size(module)


    # TODO: this is where to add noise, rotations, shifts, etc.
    image_generator = tf.keras.preprocessing.image.ImageDataGenerator(rescale=1. / 255, validation_split=0.2)

    # create image stream
    train_image_data = image_generator.flow_from_directory(str(data_root),
                                                           target_size=image_size,
                                                           batch_size=FLAGS.batch_size,
                                                           subset='training')

    validation_image_data = image_generator.flow_from_directory(str(data_root),
                                                                target_size=image_size,
                                                                batch_size=FLAGS.batch_size,
                                                                subset='validation')

    return train_image_data, validation_image_data

# load module (will download from url or directory_
module = hub.Module(FLAGS.tfhub_module)

# generate image stream
train_image_data, validation_image_data = get_and_gen_images(module)

model = create_model(module, train_image_data)
model.summary()

file = FLAGS.saved_model_dir + "/modelname.h5"

model.save(file)

Это должно сохранить файл модели ".h5", но я получаю ошибку именования: 

Traceback (most recent call last):
  File "/home/raphy/projects/vmi/tf_cpu/retrain.py", line 305, in <module>
    tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
  File "/home/raphy/.local/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
    _sys.exit(main(argv))
  File "/home/raphy/projects/vmi/tf_cpu/retrain.py", line 205, in main
    model.save(file)
  File "/home/raphy/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/sequential.py", line 319, in save
    save_model(self, filepath, overwrite, include_optimizer)
  File "/home/raphy/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/saving.py", line 105, in save_model
    'config': model.get_config()
  File "/home/raphy/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/sequential.py", line 326, in get_config
    'config': layer.get_config()
  File "/home/raphy/.local/lib/python3.6/site-packages/tensorflow/python/keras/layers/core.py", line 756, in get_config
    function = self.function.__name__
AttributeError: 'Module' object has no attribute '__name__'

Я хочу сохранить модель в формате моделей tf_hub.

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