当我编写代码时，遇到以下问题：
/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
return f(*args, **kwds)
INFO:tensorflow:Creating the model...
INFO:tensorflow:Using config: {'_model_dir': 'experiments/batch_all', '_tf_random_seed': 230, '_save_summary_steps': 50, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': None, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fe32b01e240>, '_task_type': 'worker', '_task_id': 0, '_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
INFO:tensorflow:Starting training for 20 epoch(s).
Traceback (most recent call last):
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 468, in make_tensor_proto
str_values = [compat.as_bytes(x) for x in proto_values]
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 468, in <listcomp>
str_values = [compat.as_bytes(x) for x in proto_values]
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/util/compat.py", line 65, in as_bytes
(bytes_or_text,))
TypeError: Expected binary or unicode string, got <PrefetchDataset shapes: ((?, 784), (?,)), types: (tf.float32, tf.int32)>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train.py", line 40, in <module>
estimator.train(lambda: train_input_fn(args.data_dir, params))
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 302, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 711, in _train_model
features, labels, model_fn_lib.ModeKeys.TRAIN, self.config)
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 694, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "/home/xieyangyang/Downloads/tensorflow-triplet-loss-master/model/model_fn.py", line 59, in model_fn
images = tf.reshape(images, [-1, params.image_size, params.image_size, 1])
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 3938, in reshape
"Reshape", tensor=tensor, shape=shape, name=name)
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 513, in _apply_op_helper
raise err
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 510, in _apply_op_helper
preferred_dtype=default_dtype)
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 926, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 229, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 208, in constant
value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "/home/xieyangyang/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 472, in make_tensor_proto
"supported type." % (type(values), values))
TypeError: Failed to convert object of type <class 'tensorflow.python.data.ops.dataset_ops.PrefetchDataset'> to Tensor. Contents: <PrefetchDataset shapes: ((?, 784), (?,)), types: (tf.float32, tf.int32)>. Consider casting elements to a supported type.
我知道问题出现在我的tensorflow版本中。我使用版本1.4.0，至少需要版本1.6，因为估计器的训练方法只能从v1.6开始接受tf.data.Dataset作为输入。但是我不升级我的tensorflow，因为我的cuda是8.0它不支持v1.6，我该怎么办？