我在Keras中有一个Tensorflow Tensor（＆lt; class' tensorflow.python.framework.ops.Tensor'＆gt;），需要转换为numpy.ndarray。 这项任务有一个简单的解决方案吗？
我通过谷歌和试用/错误进行了时间研究。 似乎我必须使用tensorflow会话，但我不想使用任何tensorflow会话，因为使用它们我将收到如下错误：
I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating
TensorFlow device (/gpu:0) -> (device: 0, name: TITAN X (Pascal), pci bus id: 0000:09:00.0)
I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:1) -> (device: 1, name: TITAN X (Pascal), pci bus id: 0000:05:00.0)
Traceback (most recent call last):
File "mnist_cnn_model_api.py", line 348, in <module>
validation_data=(X_test, Y_test))
File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1596, in fit_generator
callbacks.on_epoch_end(epoch, epoch_logs)
File "/usr/local/lib/python2.7/dist-packages/keras/callbacks.py", line 76, in on_epoch_end
callback.on_epoch_end(epoch, logs)
File "/home/dominik/keras/mnist/my_functions.py", line 737, in on_epoch_end
current_ist = current_is.eval()
File "/home/dominik/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 575, in eval
return _eval_using_default_session(self, feed_dict, self.graph, session)
File "/home/dominik/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3633, in _eval_using_default_session
return session.run(tensors, feed_dict)
File "/home/dominik/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 766, in run
run_metadata_ptr)
File "/home/dominik/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 964, in _run
feed_dict_string, options, run_metadata)
File "/home/dominik/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1014, in _do_run
target_list, options, run_metadata)
File "/home/dominik/.local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1034, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
[[Node: strided_slice_1/_1 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_6_strided_slice_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Caused by op u'input_1', defined at:
File "mnist_cnn_model_api.py", line 113, in <module>
inputs = Input(shape=input_shape)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 1198, in Input
input_tensor=tensor)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 1116, in __init__
name=self.name)
File "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 309, in placeholder
x = tf.placeholder(dtype, shape=shape, name=name)
File "/home/dominik/.local/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1587, in placeholder
name=name)
File "/home/dominik/.local/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 2043, in _placeholder
name=name)
File "/home/dominik/.local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 759, in apply_op
op_def=op_def)
File "/home/dominik/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2240, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/dominik/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1128, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'input_1' with dtype float
[[Node: input_1 = Placeholder[dtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
[[Node: strided_slice_1/_1 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_6_strided_slice_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
我需要第113行中的这个占位符 - 在没有任何张量流会话的情况下使用Keras时不会出现问题。但是一旦我尝试使用tensorflow会话（为了使用.eval（）将张量转换为numpy.ndarray）我的代码爆炸......
感谢您的帮助！