AttributeError when running dqn_cartpole.py

[valmikir]

I ran the suggested pip commands to update keras-rl2 and keras. No errors with the pip commands.

I am using Python 3.7.5

Any help on how to fix would be appreciated. When I run dqn_cartpole.py, I am getting the following error:

AttributeError: Tensor.op is meaningless when eager execution is enabled.

Full traceback:

Traceback (most recent call last):
File "dqn_cartpole.py", line 46, in
dqn.fit(env, nb_steps=50000, visualize=True, verbose=2)
File "/home/valmiki/miniconda3/envs/gym_keras_rl_n2/lib/python3.7/site-packages/rl/core.py", line 194, in fit
metrics = self.backward(reward, terminal=done)
File "/home/valmiki/miniconda3/envs/gym_keras_rl_n2/lib/python3.7/site-packages/rl/agents/dqn.py", line 324, in backward
metrics = self.trainable_model.train_on_batch(ins + [targets, masks], [dummy_targets, targets])
File "/home/valmiki/miniconda3/envs/gym_keras_rl_n2/lib/python3.7/site-packages/tensorflow/python/keras/engine/training.py", line 917, in train_on_batch
self._make_train_function()
File "/home/valmiki/miniconda3/envs/gym_keras_rl_n2/lib/python3.7/site-packages/tensorflow/python/keras/engine/training.py", line 1986, in _make_train_function
**self._function_kwargs)
File "/home/valmiki/miniconda3/envs/gym_keras_rl_n2/lib/python3.7/site-packages/tensorflow/python/keras/backend.py", line 3544, in function
return EagerExecutionFunction(inputs, outputs, updates=updates, name=name)
File "/home/valmiki/miniconda3/envs/gym_keras_rl_n2/lib/python3.7/site-packages/tensorflow/python/keras/backend.py", line 3438, in init
add_sources=True, handle_captures=True, base_graph=source_graph)
File "/home/valmiki/miniconda3/envs/gym_keras_rl_n2/lib/python3.7/site-packages/tensorflow/python/eager/lift_to_graph.py", line 325, in lift_to_graph
add_sources=add_sources))
File "/home/valmiki/miniconda3/envs/gym_keras_rl_n2/lib/python3.7/site-packages/tensorflow/python/eager/lift_to_graph.py", line 114, in _map_subgraph
ops_to_visit = [_as_operation(init_tensor)]
File "/home/valmiki/miniconda3/envs/gym_keras_rl_n2/lib/python3.7/site-packages/tensorflow/python/eager/lift_to_graph.py", line 37, in _as_operation
return op_or_tensor.op
File "/home/valmiki/miniconda3/envs/gym_keras_rl_n2/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 987, in op
"Tensor.op is meaningless when eager execution is enabled.")
AttributeError: Tensor.op is meaningless when eager execution is enabled.

[CraigStacey1]

I am also having this error.

Did you manage to fix it?

[valmikir]

No. I did not manage to fix it. I just went back to using keras-rl.

[stheid]

add

from tensorflow.python.framework.ops import disable_eager_execution

disable_eager_execution()

after the imports. The library is not properly ported to tf2 and still uses most of tf1 commands. tf2 is eger on default, while tf1 was lazy on default.