tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: Assign requires shapes of both tensors to match #992
Description
when I use python gtp.py for 000990-pallas, it outputs following error.
How to solve it?thanks.
I0521 23:15:21.790073 140320694859520 saver.py:1284] Restoring parameters from /home/gzd/Others/Backup/minigo/model/000990-pallas/v17-19x19_models_000990-pallas
Traceback (most recent call last):
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: Assign requires shapes of both tensors to match. lhs shape= [361,256] rhs shape= [128,512]
[[{{node save/Assign_327}}]]
[[save/RestoreV2/_536]]
(1) Invalid argument: Assign requires shapes of both tensors to match. lhs shape= [361,256] rhs shape= [128,512]
[[{{node save/Assign_327}}]]
0 successful operations.
0 derived errors ignored.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 1290, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: Assign requires shapes of both tensors to match. lhs shape= [361,256] rhs shape= [128,512]
[[node save/Assign_327 (defined at /home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1748) ]]
[[save/RestoreV2/_536]]
(1) Invalid argument: Assign requires shapes of both tensors to match. lhs shape= [361,256] rhs shape= [128,512]
[[node save/Assign_327 (defined at /home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1748) ]]
0 successful operations.
0 derived errors ignored.
Original stack trace for 'save/Assign_327':
File "gtp.py", line 93, in
app.run(main)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "gtp.py", line 85, in main
minigui_mode=FLAGS.minigui_mode)
File "gtp.py", line 52, in make_gtp_instance
n = DualNetwork(load_file)
File "/home/gzd/Others/Backup/minigo/dual_net.py", line 187, in init
self.initialize_graph()
File "/home/gzd/Others/Backup/minigo/dual_net.py", line 202, in initialize_graph
self.initialize_weights(self.save_file)
File "/home/gzd/Others/Backup/minigo/dual_net.py", line 212, in initialize_weights
tf.train.Saver().restore(self.sess, save_file)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 828, in init
self.build()
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 840, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 878, in _build
build_restore=build_restore)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 508, in _build_internal
restore_sequentially, reshape)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 350, in _AddRestoreOps
assign_ops.append(saveable.restore(saveable_tensors, shapes))
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/saving/saveable_object_util.py", line 73, in restore
self.op.get_shape().is_fully_defined())
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/state_ops.py", line 227, in assign
validate_shape=validate_shape)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/gen_state_ops.py", line 66, in assign
use_locking=use_locking, name=name)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "/home/gzd/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 1748, in init
self._traceback = tf_stack.extract_stack()