Traceback (most recent call last):
File "", line 1, in
File "D:\PyCharm\helpers\pydev_pydev_bundle\pydev_umd.py", line 197, in runfile
pydev_imports.execfile(filename, global_vars, local_vars) # execute the script
File "D:\PyCharm\helpers\pydev_pydev_imps_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "E:/TextCNN_2/train_model.py", line 87, in
model.train(cfg.num_epochs, train_set, callbacks=[time_cb, ckpoint_cb, loss_cb], dataset_sink_mode=False)
File "D:\miniconda\envs\MindSpore\lib\site-packages\mindspore\train\model.py", line 564, in train
sink_size=sink_size)
File "D:\miniconda\envs\MindSpore\lib\site-packages\mindspore\train\model.py", line 369, in _train
self._train_process(epoch, train_dataset, list_callback, cb_params)
File "D:\miniconda\envs\MindSpore\lib\site-packages\mindspore\train\model.py", line 490, in _train_process
outputs = self._train_network(*next_element)
File "D:\miniconda\envs\MindSpore\lib\site-packages\mindspore\nn\cell.py", line 227, in call
out = self.compile_and_run(*inputs)
File "D:\miniconda\envs\MindSpore\lib\site-packages\mindspore\nn\cell.py", line 449, in compile_and_run
_executor.compile(self, inputs, phase=self.phase, auto_parallel_mode=self._auto_parallel_mode)
File "D:\miniconda\envs\MindSpore\lib\site-packages\mindspore\common\api.py", line 425, in compile
result = self._executor.compile(obj, args_list, phase, use_vm)
File "D:\miniconda\envs\MindSpore\lib\site-packages\mindspore\ops\primitive.py", line 290, in infer
out[track] = fn((x[track] for x in args))
File "D:\miniconda\envs\MindSpore\lib\site-packages\mindspore\ops\operations\nn_ops.py", line 1077, in infer_shape
raise ValueError(f"For '{self.name}' The kernel size is not valid, "
ValueError: For 'MaxPool' The kernel size is not valid, please check it if is larger than data's shape size.

电脑所限，玩权不知道怎么去改，能不能像tensorflow一样支持错误调试 ，不是每个人都有linux环境的，请问这个shape错了，我都不知道改哪个