大佬，机器学习PAI报这个错误，怎么解决？

IndexError Traceback (most recent call last)

in
227 model_dir)
228 print('Exporting user part model...')
--> 229 export(
230 model_dir,
231 meta_graph_def,

in export(model_dir, meta_graph_def, variable_protos, input_tensor_names, output_tensor_names, part_dir)
180 variable = graph.get_tensor_by_name(name)
181 graph.add_to_collection(ops.GraphKeys.SAVEABLE_OBJECTS, variable)
--> 182 saver = tf_saver.Saver()
183 saver.restore(sess, get_variables_path(model_dir))
184

/usr/local/lib/python3.8/site-packages/tensorflow/python/training/saver.py in init(self, var_list, reshape, sharded, max_to_keep, keep_checkpoint_every_n_hours, name, restore_sequentially, saver_def, builder, defer_build, allow_empty, write_version, pad_step_number, save_relative_paths, filename)
834 time.time() + self._keep_checkpoint_every_n_hours * 3600)
835 elif not defer_build:
--> 836 self.build()
837 if self.saver_def:
838 self._check_saver_def()

/usr/local/lib/python3.8/site-packages/tensorflow/python/training/saver.py in build(self)
846 if context.executing_eagerly():
847 raise RuntimeError("Use save/restore instead of build in eager mode.")
--> 848 self._build(self._filename, build_save=True, build_restore=True)
849
850 def _build_eager(self, checkpoint_path, build_save, build_restore):

/usr/local/lib/python3.8/site-packages/tensorflow/python/training/saver.py in _build(self, checkpoint_path, build_save, build_restore)
874 self._is_empty = False
875
--> 876 self.saver_def = self._builder._build_internal( # pylint: disable=protected-access
877 self._var_list,
878 reshape=self._reshape,

/usr/local/lib/python3.8/site-packages/tensorflow/python/training/saver.py in _build_internal(self, names_to_saveables, reshape, sharded, max_to_keep, keep_checkpoint_every_n_hours, name, restore_sequentially, filename, build_save, build_restore)
487 " when eager execution is not enabled.")
488
--> 489 saveables = saveable_object_util.validate_and_slice_inputs(
490 names_to_saveables)
491 if max_to_keep is None:

/usr/local/lib/python3.8/site-packages/tensorflow/python/training/saving/saveable_object_util.py in validate_and_slice_inputs(names_to_saveables)
358 # Avoid comparing ops, sort only by name.
359 key=lambda x: x[0]):
--> 360 for converted_saveable_object in saveable_objects_for_op(op, name):
361 _add_saveable(saveables, seen_ops, converted_saveable_object)
362 return saveables

/usr/local/lib/python3.8/site-packages/tensorflow/python/training/saving/saveable_object_util.py in saveable_objects_for_op(op, name)
218 yield ReferenceVariableSaveable(variable, "", name)
219 else:
--> 220 yield ResourceVariableSaveable(
221 variable, "", name)
222

/usr/local/lib/python3.8/site-packages/tensorflow/python/training/saving/saveable_object_util.py in init(self, var, slice_spec, name)
93 self._var_shape = var.shape
94 if isinstance(var, ops.Tensor):
---> 95 self.handle_op = var.op.inputs[0]
96 tensor = var
97 elif resource_variable_ops.is_resource_variable(var):

IndexError: tuple index out of range
saver = tf_saver.Saver() <---- 在这一行就报错了
saver.restore(sess, get_variables_path(model_dir))

展开

收起

真的很搞笑 2023-07-16 19:01:39 118 0

2 条回答

写回答

取消提交回答

Star时光
这个错误是一个索引错误（IndexError），它通常发生在代码中尝试访问列表或数组的索引超出范围时。要解决此错误，你可以考虑以下几个步骤：
1. 确认索引值是否正确：检查代码中出现错误的地方，确保索引值没有超出列表或数组的有效范围。索引通常从0开始计数，因此最后一个元素的索引应为长度-1。
2. 检查数据结构：确保你正在使用正确的数据结构来存储和访问数据。如果是一个列表或数组，确保元素的数量和索引的顺序是一致的。
3. 检查循环和迭代操作：如果错误发生在循环或迭代过程中，确保循环变量或迭代器的范围正确，并在每次迭代时保持更新。
4. 输出调试信息：在错误发生处添加一些调试语句，输出相关变量的值，以便更好地理解问题所在。你可以打印出相关的索引、列表长度或其他相关变量，以帮助你找到错误。
5. 查阅文档和示例代码：查看相关库或框架的文档和示例代码，确保你正确使用了相应的函数和方法。特别是针对报错位置附近的代码行进行仔细研究，看是否有遗漏或错误的使用方式。
通过以上步骤，应该能够定位并解决索引错误。如果你仍然无法解决问题，请提供更多的代码细节和相关上下文，以便我可以提供更具体的建议和帮助。
2023-07-31 17:29:53

赞同展开评论打赏
芯在这
可能是tf1/tf2的版本兼容性问题；可以试下tf1.x 版本或者在开头if tf.version >= '2.0':
```
tf = tf.compat.v1，此回答整理自钉群“【EasyRec】推荐算法交流群”
```
2023-07-16 19:20:19

赞同展开评论打赏