René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Need tensorflow 2.2.0 for Python 3.6","articleBody":"The version 2.4.3 of keras does not work with tensorflow 2.2.0 on python 3.7\r\n\u003e  File \"/home/pi/.pyenv/versions/3.7.7/lib/python3.7/site-packages/tensorflow_core/python/keras/saving/save.py\", line 146, in load_model\r\n    return hdf5_format.load_model_from_hdf5(filepath, custom_objects, compile)\r\n  File \"/home/pi/.pyenv/versions/3.7.7/lib/python3.7/site-packages/tensorflow_core/python/keras/saving/hdf5_format.py\", line 184, in load_model_from_hdf5\r\n    training_config, custom_objects))\r\n  File \"/home/pi/.pyenv/versions/3.7.7/lib/python3.7/site-packages/tensorflow_core/python/keras/saving/saving_utils.py\", line 242, in compile_args_from_training_config\r\n    sample_weight_mode = training_config['sample_weight_mode']\r\nKeyError: 'sample_weight_mode'\r\n\r\nEven if i pass a hdf5 checkpoint or a fully saved model .h5 , the error is the same.\r\n\r\nI have tested another built of tensorflow 2.2.0 but for a amd64 linux machine with python 3.6.10 and it worked without any problems.\r\n\r\nIf you could post reupload the python3.6 builds it would be great. \r\n","author":{"url":"https://github.com/redsigma","@type":"Person","name":"redsigma"},"datePublished":"2020-06-28T17:21:54.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/2/TensorFlow-Raspberry-Pi/issues/2"}