在“Hands on machine learning with scikit-learn and tensorflow 2.0”一书的第 17 章中，他们使用 tf.data.Dataset 和 window() 方法将顺序数据集拆分为多个窗口：
n_steps = 100
window_length = n_steps + 1 # target = input shifted 1 character ahead
dataset = dataset.window(window_length, shift=1, drop_remainder=True)
要将顺序数据集切割成多个窗口，他们使用以下方法：
dataset = dataset.flat_map(lambda window: window.batch(window_length))
但是当我执行上面的那一行时，我收到以下错误：
AttributeError Traceback (most recent call last)
<ipython-input-18-5b215fb4cb71> in <module>()
----> 1 dataset = dataset.flat_map(lambda window: window.batch(window_length))
10 frames
/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/dataset_ops.py in flat_map(self, map_func)
1650 Dataset: A `Dataset`.
1651 """
-> 1652 return FlatMapDataset(self, map_func)
1653
1654 def interleave(self,
/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/dataset_ops.py in __init__(self, input_dataset, map_func)
4069 self._input_dataset = input_dataset
4070 self._map_func = StructuredFunctionWrapper(
-> 4071 map_func, self._transformation_name(), dataset=input_dataset)
4072 if not isinstance(self._map_func.output_structure, DatasetSpec):
4073 raise TypeError(
/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/dataset_ops.py in __init__(self, func, transformation_name, dataset, input_classes, input_shapes, input_types, input_structure, add_to_graph, use_legacy_function, defun_kwargs)
3219 with tracking.resource_tracker_scope(resource_tracker):
3220 # TODO(b/141462134): Switch to using garbage collection.
-> 3221 self._function = wrapper_fn.get_concrete_function()
3222
3223 if add_to_graph:
/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/function.py in get_concrete_function(self, *args, **kwargs)
2530 """
2531 graph_function = self._get_concrete_function_garbage_collected(
-> 2532 *args, **kwargs)
2533 graph_function._garbage_collector.release() # pylint: disable=protected-access
2534 return graph_function
/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/function.py in _get_concrete_function_garbage_collected(self, *args, **kwargs)
2494 args, kwargs = None, None
2495 with self._lock:
-> 2496 graph_function, args, kwargs = self._maybe_define_function(args, kwargs)
2497 if self.input_signature:
2498 args = self.input_signature
/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/function.py in _maybe_define_function(self, args, kwargs)
2775
2776 self._function_cache.missed.add(call_context_key)
-> 2777 graph_function = self._create_graph_function(args, kwargs)
2778 self._function_cache.primary[cache_key] = graph_function
2779 return graph_function, args, kwargs
/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/function.py in _create_graph_function(self, args, kwargs, override_flat_arg_shapes)
2665 arg_names=arg_names,
2666 override_flat_arg_shapes=override_flat_arg_shapes,
-> 2667 capture_by_value=self._capture_by_value),
2668 self._function_attributes,
2669 # Tell the ConcreteFunction to clean up its graph once it goes out of
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/func_graph.py in func_graph_from_py_func(name, python_func, args, kwargs, signature, func_graph, autograph, autograph_options, add_control_dependencies, arg_names, op_return_value, collections, capture_by_value, override_flat_arg_shapes)
979 _, original_func = tf_decorator.unwrap(python_func)
980
--> 981 func_outputs = python_func(*func_args, **func_kwargs)
982
983 # invariant: `func_outputs` contains only Tensors, CompositeTensors,
/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/dataset_ops.py in wrapper_fn(*args)
3212 attributes=defun_kwargs)
3213 def wrapper_fn(*args): # pylint: disable=missing-docstring
-> 3214 ret = _wrapper_helper(*args)
3215 ret = structure.to_tensor_list(self._output_structure, ret)
3216 return [ops.convert_to_tensor(t) for t in ret]
/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/dataset_ops.py in _wrapper_helper(*args)
3154 nested_args = (nested_args,)
3155
-> 3156 ret = autograph.tf_convert(func, ag_ctx)(*nested_args)
3157 # If `func` returns a list of tensors, `nest.flatten()` and
3158 # `ops.convert_to_tensor()` would conspire to attempt to stack
/usr/local/lib/python3.6/dist-packages/tensorflow/python/autograph/impl/api.py in wrapper(*args, **kwargs)
263 except Exception as e: # pylint:disable=broad-except
264 if hasattr(e, 'ag_error_metadata'):
--> 265 raise e.ag_error_metadata.to_exception(e)
266 else:
267 raise
AttributeError: in user code:
<ipython-input-16-5b215fb4cb71>:1 None *
dataset = dataset.flat_map(lambda window: window.batch(window_length))
AttributeError: '_NestedVariant' object has no attribute 'batch'
为什么会这样？请帮忙。你可以在这里找到对应的笔记本