Traceback (most recent call last):


 "/home/antonvasyukhin/g2p-seq2seq/tests/g2p_unittest.py", line 24, in test_train

g2p_model.train()


 "/home/antonvasyukhin/g2p-seq2seq/g2p_seq2seq/g2p.py", line 258, in train

execute_schedule(self.exp, self.params)


 "/home/antonvasyukhin/g2p-seq2seq/g2p_seq2seq/g2p.py", line 590, in execute_schedule

getattr(exp, params.schedule)()


 "/usr/local/lib/python3.6/dist-packages/tensor2tensor-1.7.0-py3.6.egg/tensor2tensor/utils/trainer_lib.py", line 309, in continuous_train_and_eval

self._eval_spec)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate

return executor.run()


 "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py", line 613, in run

return self.run_local()


 "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py", line 714, in run_local

saving_listeners=saving_listeners)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 367, in train

loss = self._train_model(input_fn, hooks, saving_listeners)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1158, in _train_model

return self._train_model_default(input_fn, hooks, saving_listeners)


 "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1185, in _train_model_default

input_fn, ModeKeys.TRAIN))


 "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1022, in _get_features_and_labels_from_input_fn

self._call_input_fn(input_fn, mode))


 "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1113, in _call_input_fn

return input_fn(**kwargs)


 "/usr/local/lib/python3.6/dist-packages/tensor2tensor-1.7.0-py3.6.egg/tensor2tensor/data_generators/problem.py", line 733, in estimator_input_fn

dataset_kwargs=dataset_kwargs)


 "/usr/local/lib/python3.6/dist-packages/tensor2tensor-1.7.0-py3.6.egg/tensor2tensor/data_generators/problem.py", line 895, in input_fn

batching_scheme["batch_sizes"])


 "/usr/local/lib/python3.6/dist-packages/tensor2tensor-1.7.0-py3.6.egg/tensor2tensor/utils/data_reader.py", line 103, in bucket_by_sequence_length

window_size_fn))


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 1853, in apply

return DatasetV1Adapter(super(DatasetV1, self).apply(transformation_func))


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 1290, in apply

dataset = transformation_func(self)


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/experimental/ops/grouping.py", line 121, in _apply_fn

window_size_func)


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/experimental/ops/grouping.py", line 377, in __init__

self._make_reduce_func(reduce_func, input_dataset)


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/experimental/ops/grouping.py", line 424, in _make_reduce_func

input_structure=input_structure)


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 2555, in __init__

self._function = wrapper_fn._get_concrete_function_internal()


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/function.py", line 1355, in _get_concrete_function_internal

*args, **kwargs)


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/function.py", line 1349, in _get_concrete_function_internal_garbage_collected

graph_function, _, _ = self._maybe_define_function(args, kwargs)


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/function.py", line 1652, in _maybe_define_function

graph_function = self._create_graph_function(args, kwargs)


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/function.py", line 1545, in _create_graph_function

capture_by_value=self._capture_by_value),


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/func_graph.py", line 715, in func_graph_from_py_func

func_outputs = python_func(*func_args, **func_kwargs)


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 2549, in wrapper_fn

ret = _wrapper_helper(*args)


 "/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 2489, in _wrapper_helper

ret = func(*nested_args)


 "/usr/local/lib/python3.6/dist-packages/tensor2tensor-1.7.0-py3.6.egg/tensor2tensor/utils/data_reader.py", line 99, in batching_fn

return padded_batch(grouped_dataset, batch_size, padded_shapes)


 "/usr/local/lib/python3.6/dist-packages/tensor2tensor-1.7.0-py3.6.egg/tensor2tensor/utils/data_reader.py", line 110, in padded_batch

for name, shape in dataset.output_shapes.items()])
AttributeError: '_VariantDataset' object has no attribute 'output_shapes'

[autoreload of pandas.core.panel failed: Traceback (most recent call last):


 "/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/site-packages/IPython/extensions/autoreload.py", line 246, in check

superreload(m, reload, self.old_objects)


 "/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/site-packages/IPython/extensions/autoreload.py", line 369, in superreload

module = reload(module)


 "/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/imp.py", line 315, in reload

return importlib.reload(module)


 "/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/importlib/__init__.py", line 166, in reload

_bootstrap._exec(spec, module)


 "<frozen importlib._bootstrap>", line 618, in _exec


 "<frozen importlib._bootstrap_external>", line 678, in exec_module


 "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed


 "/Users/sentient-asoellinger/miniconda2/envs/ipykernel_py3/lib/python3.6/site-packages/pandas/core/panel.py", line 18, in <module>

import pandas.core.ops as ops
AttributeError: module 'pandas.core' has no attribute 'ops'
