Gives the error: Assign requires shapes of both tensors to match. lhs shape= [8,8,1,32] rhs shape= [8,8,4,32]
$ python -m baselines.deepq.experiments.atari.enjoy --model-dir /tmp/models/model-atari-duel-pong-1 --env Pong --dueling
Traceback (most recent call last):
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1022, in _do_call
return fn(*args)
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1004, in _run_fn
status, run_metadata)
File "/Users/smc77/anaconda/lib/python3.6/contextlib.py", line 89, in __exit__
next(self.gen)
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 469, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [8,8,1,32] rhs shape= [8,8,4,32]
[[Node: save/Assign_6 = Assign[T=DT_FLOAT, _class=["loc:@deepq/q_func/convnet/Conv/weights"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](deepq/q_func/convnet/Conv/weights, save/RestoreV2_6)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/smc77/anaconda/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/Users/smc77/anaconda/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/Users/smc77/src/openai/baselines/baselines/deepq/experiments/atari/enjoy.py", line 69, in <module>
U.load_state(os.path.join(args.model_dir, "saved"))
File "/Users/smc77/src/openai/baselines/baselines/common/tf_util.py", line 241, in load_state
saver.restore(get_session(), fname)
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1439, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 767, in run
run_metadata_ptr)
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 965, in _run
feed_dict_string, options, run_metadata)
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1015, in _do_run
target_list, options, run_metadata)
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1035, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [8,8,1,32] rhs shape= [8,8,4,32]
[[Node: save/Assign_6 = Assign[T=DT_FLOAT, _class=["loc:@deepq/q_func/convnet/Conv/weights"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](deepq/q_func/convnet/Conv/weights, save/RestoreV2_6)]]
Caused by op 'save/Assign_6', defined at:
File "/Users/smc77/anaconda/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/Users/smc77/anaconda/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/Users/smc77/src/openai/baselines/baselines/deepq/experiments/atari/enjoy.py", line 69, in <module>
U.load_state(os.path.join(args.model_dir, "saved"))
File "/Users/smc77/src/openai/baselines/baselines/common/tf_util.py", line 240, in load_state
saver = tf.train.Saver()
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1051, in __init__
self.build()
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1081, in build
restore_sequentially=self._restore_sequentially)
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 675, in build
restore_sequentially, reshape)
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 414, in _AddRestoreOps
assign_ops.append(saveable.restore(tensors, shapes))
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 155, in restore
self.op.get_shape().is_fully_defined())
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/gen_state_ops.py", line 47, in assign
use_locking=use_locking, name=name)
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op
op_def=op_def)
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2395, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/Users/smc77/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1264, in __init__
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [8,8,1,32] rhs shape= [8,8,4,32]
[[Node: save/Assign_6 = Assign[T=DT_FLOAT, _class=["loc:@deepq/q_func/convnet/Conv/weights"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](deepq/q_func/convnet/Conv/weights, save/RestoreV2_6)]]
BNSneha
commented
6 years ago
I get a tensorflow error when trying to load any saved models, following the example in the DQN README:
To run the example, I had to change references to deprecated function: https://github.com/openai/baselines/pull/199/commits/c5c4b2847f2ba64e1ae840ad70edcca916055f96
Gives the error:
Assign requires shapes of both tensors to match. lhs shape= [8,8,1,32] rhs shape= [8,8,4,32]