完成训练无法进行predict

[ccandwj]

提问时请尽可能提供如下信息：

基本信息

• 你使用的操作系统: win10
• 你使用的Python版本: 3.8
• 你使用的Tensorflow版本: 2.6.5
• 你使用的Keras版本: 2.6.0
• 你使用的bert4keras版本:
• 你使用纯keras还是tf.keras:
• 你加载的预训练模型:

核心代码

import ignnition
import matplotlib.pyplot as plt
from csv import reader
import os
import numpy as np
from statistics import mean
import time
def predict():
model = ignnition.create_model(model_dir='./')
start = time.time()
predictions = model.predict()
end = time.time()
print("Time elapsed: ", end - start)
calculate_test_set_results(predictions)
example_id = 0
plot_results_for_one_test_example(predictions, example_id)
predict()

输出信息

Processing the described model...

Creating the GNN model...

Traceback (most recent call last):
File "C:\anaconda\envs\ignnition_environment\lib\site-packages\tensorflow\python\training\py_checkpoint_reader.py", line 96, in NewCheckpointReader
return CheckpointReader(compat.as_bytes(filepattern))
RuntimeError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "D:\graph-neural-network-state-estimation-main\graph-neural-network-state-estimation-main\predict.py", line 77, in
predict()
File "D:\graph-neural-network-state-estimation-main\graph-neural-network-state-estimation-main\predict.py", line 21, in predict
predictions = model.predict()
File "C:\anaconda\envs\ignnition_environment\lib\site-packages\ignnition\error_handling.py", line 484, in wrapper
return f(*args, **kwargs)
File "C:\anaconda\envs\ignnition_environment\lib\site-packages\ignnition\ignnition_model.py", line 818, in predict
self.__create_gnn(path=data_path, verbose=verbose, require_warm_start=True)
File "C:\anaconda\envs\ignnition_environment\lib\site-packages\ignnition\ignnition_model.py", line 548, in __create_gnn
self.gnn_model = self.__restore_model(gnn_model, sample=sample, require_warm_start=require_warm_start)
File "C:\anaconda\envs\ignnition_environment\lib\site-packages\ignnition\ignnition_model.py", line 575, in __restore_model
gnn_model.load_weights(checkpoint_path)
File "C:\anaconda\envs\ignnition_environment\lib\site-packages\keras\engine\training.py", line 2329, in load_weights
filepath, save_format = _detect_save_format(filepath)
File "C:\anaconda\envs\ignnition_environment\lib\site-packages\keras\engine\training.py", line 3014, in _detect_save_format
if _is_readable_tf_checkpoint(filepath):
File "C:\anaconda\envs\ignnition_environment\lib\site-packages\keras\engine\training.py", line 3035, in _is_readable_tf_checkpoint
tf.compat.v1.train.NewCheckpointReader(filepath)
File "C:\anaconda\envs\ignnition_environment\lib\site-packages\tensorflow\python\training\py_checkpoint_reader.py", line 100, in NewCheckpointReader
error_translator(e)
File "C:\anaconda\envs\ignnition_environment\lib\site-packages\tensorflow\python\training\py_checkpoint_reader.py", line 49, in error_translator
raise errors_impl.OpError(None, None, error_message, errors_impl.UNKNOWN)
tensorflow.python.framework.errors_impl.OpError

自我尝试

不管什么问题，请先尝试自行解决，“万般努力”之下仍然无法解决再来提问。此处请贴上你的努力过程。