为什么我会收到已存在的错误？

Question

当我通过keras训练二进制分类时，我收到了以下错误：

AlreadyExistsError: Resource __per_step_16/training_4/Adam/gradients/lstm_10/while/ReadVariableOp_8/Enter_grad/ArithmeticOptimizer/AddOpsRewrite_Add/tmp_var/struct tensorflow::TemporaryVariableOp::TmpVar
     [[{{node training_4/Adam/gradients/lstm_10/while/ReadVariableOp_8/Enter_grad/ArithmeticOptimizer/AddOpsRewrite_Add/tmp_var}} = TemporaryVariable[dtype=DT_FLOAT, shape=[64,256], var_name="training_4...dd/tmp_var", _device="/job:localhost/replica:0/task:0/device:CPU:0"](^training_4/Adam/gradients/lstm_10/while/strided_slice_11_grad/StridedSliceGrad)]]

我执行以下代码：

^{pr2}$

怎么了？在

Answer 1

在model = Sequential()行之前添加以下代码将停止此错误。在

from tensorflow.core.protobuf import rewriter_config_pb2
from tensorflow.keras.backend import set_session
tf.keras.backend.clear_session()  # For easy reset of notebook state.

config_proto = tf.ConfigProto()
off = rewriter_config_pb2.RewriterConfig.OFF
config_proto.graph_options.rewrite_options.arithmetic_optimization = off
session = tf.Session(config=config_proto)
set_session(session)