I encounter a problem when I train the Breakout-v0 on GPU on a linux machine, and then want to load the model on my local Mac. Although they are using the same settings (except GPU vs. CPU. I also make sure that the CNN format is the same as GPU when I load it on my Mac), on my Mac the loading of the model is unsuccessful, as shown in the following error:
[*] Loading checkpoints...
INFO:tensorflow:Restoring parameters from checkpoints/Breakout-v0/min_delta--1/max_delta-1/history_length-4/train_frequency-4/target_q_update_step-10000/double_q-False/memory_size-1000000/action_repeat-4/ep_end_t-1000000/dueling-False/min_reward--1.0/backend-tf/random_start-30/scale-10000/env_type-detail/learning_rate_decay_step-50000/ep_start-1.0/screen_width-84/learn_start-50000.0/cnn_format-NCHW/learning_rate-0.00025/batch_size-32/discount-0.99/max_step-50000000/max_reward-1.0/learning_rate_decay-0.96/learning_rate_minimum-0.00025/env_name-Breakout-v0/ep_end-0.1/model-m1/screen_height-84/-3250000
[2017-09-24 19:36:32,049] Restoring parameters from checkpoints/Breakout-v0/min_delta--1/max_delta-1/history_length-4/train_frequency-4/target_q_update_step-10000/double_q-False/memory_size-1000000/action_repeat-4/ep_end_t-1000000/dueling-False/min_reward--1.0/backend-tf/random_start-30/scale-10000/env_type-detail/learning_rate_decay_step-50000/ep_start-1.0/screen_width-84/learn_start-50000.0/cnn_format-NCHW/learning_rate-0.00025/batch_size-32/discount-0.99/max_step-50000000/max_reward-1.0/learning_rate_decay-0.96/learning_rate_minimum-0.00025/env_name-Breakout-v0/ep_end-0.1/model-m1/screen_height-84/-3250000
InvalidArgumentError Traceback (most recent call last)
<ipython-input-4-6320008d113d> in <module>()
17 config.cnn_format = 'NHWC'
18
---> 19 agent = Agent(config, env, sess)
20
21 if FLAGS.is_train:
/Users/tailin/Dropbox (Personal)/project/meta_learning/dqn/agent.pyc in __init__(self, config, environment, sess)
31 self.step_assign_op = self.step_op.assign(self.step_input)
32
---> 33 self.build_dqn()
34
35 def train(self):
/Users/tailin/Dropbox (Personal)/project/meta_learning/dqn/agent.pyc in build_dqn(self)
340 self._saver = tf.train.Saver(self.w.values() + [self.step_op], max_to_keep=30)
341
--> 342 self.load_model()
343 self.update_target_q_network()
344
/Users/tailin/Dropbox (Personal)/project/meta_learning/dqn/base.pyc in load_model(self)
44 ckpt_name = os.path.basename(ckpt.model_checkpoint_path)
45 fname = os.path.join(self.checkpoint_dir, ckpt_name)
---> 46 self.saver.restore(self.sess, fname)
47 print(" [*] Load SUCCESS: %s" % fname)
48 return True
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.pyc in restore(self, sess, save_path)
1558 logging.info("Restoring parameters from %s", save_path)
1559 sess.run(self.saver_def.restore_op_name,
-> 1560 {self.saver_def.filename_tensor_name: save_path})
1561
1562 @staticmethod
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in run(self, fetches, feed_dict, options, run_metadata)
893 try:
894 result = self._run(None, fetches, feed_dict, options_ptr,
--> 895 run_metadata_ptr)
896 if run_metadata:
897 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _run(self, handle, fetches, feed_dict, options, run_metadata)
1122 if final_fetches or final_targets or (handle and feed_dict_tensor):
1123 results = self._do_run(handle, final_targets, final_fetches,
-> 1124 feed_dict_tensor, options, run_metadata)
1125 else:
1126 results = []
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1319 if handle is None:
1320 return self._do_call(_run_fn, self._session, feeds, fetches, targets,
-> 1321 options, run_metadata)
1322 else:
1323 return self._do_call(_prun_fn, self._session, handle, feeds, fetches)
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _do_call(self, fn, *args)
1338 except KeyError:
1339 pass
-> 1340 raise type(e)(node_def, op, message)
1341
1342 def _extend_graph(self):
InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [6] rhs shape= [4]
[[Node: save/Assign_9 = Assign[T=DT_FLOAT, _class=["loc:@prediction/q/bias"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](prediction/q/bias, save/RestoreV2_9)]]
Caused by op u'save/Assign_9', defined at:
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/runpy.py", line 174, in _run_module_as_main
"__main__", fname, loader, pkg_name)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/ipykernel/kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/zmq/eventloop/ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tornado/ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/ipykernel/kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/ipykernel/kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/ipykernel/zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2718, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2822, in run_ast_nodes
if self.run_code(code, result):
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/IPython/core/interactiveshell.py", line 2882, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-4-6320008d113d>", line 19, in <module>
agent = Agent(config, env, sess)
File "dqn/agent.py", line 33, in __init__
self.build_dqn()
File "dqn/agent.py", line 340, in build_dqn
self._saver = tf.train.Saver(self.w.values() + [self.step_op], max_to_keep=30)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1140, in __init__
self.build()
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1172, in build
filename=self._filename)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 688, in build
restore_sequentially, reshape)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 419, in _AddRestoreOps
assign_ops.append(saveable.restore(tensors, shapes))
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 155, in restore
self.op.get_shape().is_fully_defined())
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/ops/state_ops.py", line 274, in assign
validate_shape=validate_shape)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/ops/gen_state_ops.py", line 43, in assign
use_locking=use_locking, name=name)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2630, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1204, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [6] rhs shape= [4]
[[Node: save/Assign_9 = Assign[T=DT_FLOAT, _class=["loc:@prediction/q/bias"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](prediction/q/bias, save/RestoreV2_9)]]
What is the problem here? Ideally I should be able to load the model no matter which system, or GPU/CPU I use.
Hi,
I encounter a problem when I train the Breakout-v0 on GPU on a linux machine, and then want to load the model on my local Mac. Although they are using the same settings (except GPU vs. CPU. I also make sure that the CNN format is the same as GPU when I load it on my Mac), on my Mac the loading of the model is unsuccessful, as shown in the following error:
What is the problem here? Ideally I should be able to load the model no matter which system, or GPU/CPU I use.