You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
List of Variables:
CNN-1/aW:0
CNN-1/conv/weights:0
CNN-1/conv/biases:0
CNN-2/aW:0
CNN-2/conv/weights:0
CNN-2/conv/biases:0
output-layer/FC/weights:0
output-layer/FC/biases:0
==================================================
test data size: 10
2018-04-08 12:11:47.494259: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-08 12:11:47.494336: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-08 12:11:47.494347: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-04-08 12:11:47.494355: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-08 12:11:47.494364: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Traceback (most recent call last):
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 1139, in _do_call
return fn(*args)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 1121, in _run_fn
status, run_metadata)
File "/usr/local/lib/python3.4/contextlib.py", line 66, in exit
next(self.gen)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/framework/errors_impl.py", line 466, 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= [40,300] rhs shape= [96,300]
[[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@CNN-1/aW"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](CNN-1/aW, save/RestoreV2)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "test.py", line 147, in
classifier=params["classifier"], word2vec=params["word2vec"])
File "test.py", line 39, in test
saver.restore(sess, model_path + "-" + str(e))
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 1548, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 789, in run
run_metadata_ptr)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 997, in _run
feed_dict_string, options, run_metadata)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 1132, in _do_run
target_list, options, run_metadata)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 1152, 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= [40,300] rhs shape= [96,300]
[[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@CNN-1/aW"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](CNN-1/aW, save/RestoreV2)]]
Caused by op 'save/Assign', defined at:
File "test.py", line 147, in
classifier=params["classifier"], word2vec=params["word2vec"])
File "test.py", line 38, in test
saver = tf.train.Saver()
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 1139, in init
self.build()
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 1170, in build
restore_sequentially=self._restore_sequentially)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 691, in build
restore_sequentially, reshape)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 419, in _AddRestoreOps
assign_ops.append(saveable.restore(tensors, shapes))
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 155, in restore
self.op.get_shape().is_fully_defined())
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/ops/state_ops.py", line 271, in assign
validate_shape=validate_shape)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/ops/gen_state_ops.py", line 45, in assign
use_locking=use_locking, name=name)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/framework/ops.py", line 2506, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/framework/ops.py", line 1269, in init
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [40,300] rhs shape= [96,300]
[[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@CNN-1/aW"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](CNN-1/aW, save/RestoreV2)]]
The text was updated successfully, but these errors were encountered:
python test.py --ws=4 --l2_reg=0.0004 --epoch=20 --max_len=40 --model_type=ABCNN3 --num_layers=2 --data_type=WebQA --classifier=LR
List of Variables:
CNN-1/aW:0
CNN-1/conv/weights:0
CNN-1/conv/biases:0
CNN-2/aW:0
CNN-2/conv/weights:0
CNN-2/conv/biases:0
output-layer/FC/weights:0
output-layer/FC/biases:0
==================================================
test data size: 10
2018-04-08 12:11:47.494259: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-08 12:11:47.494336: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-08 12:11:47.494347: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-04-08 12:11:47.494355: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-08 12:11:47.494364: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Traceback (most recent call last):
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 1139, in _do_call
return fn(*args)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 1121, in _run_fn
status, run_metadata)
File "/usr/local/lib/python3.4/contextlib.py", line 66, in exit
next(self.gen)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/framework/errors_impl.py", line 466, 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= [40,300] rhs shape= [96,300]
[[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@CNN-1/aW"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](CNN-1/aW, save/RestoreV2)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "test.py", line 147, in
classifier=params["classifier"], word2vec=params["word2vec"])
File "test.py", line 39, in test
saver.restore(sess, model_path + "-" + str(e))
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 1548, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 789, in run
run_metadata_ptr)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 997, in _run
feed_dict_string, options, run_metadata)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 1132, in _do_run
target_list, options, run_metadata)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/client/session.py", line 1152, 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= [40,300] rhs shape= [96,300]
[[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@CNN-1/aW"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](CNN-1/aW, save/RestoreV2)]]
Caused by op 'save/Assign', defined at:
File "test.py", line 147, in
classifier=params["classifier"], word2vec=params["word2vec"])
File "test.py", line 38, in test
saver = tf.train.Saver()
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 1139, in init
self.build()
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 1170, in build
restore_sequentially=self._restore_sequentially)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 691, in build
restore_sequentially, reshape)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 419, in _AddRestoreOps
assign_ops.append(saveable.restore(tensors, shapes))
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/training/saver.py", line 155, in restore
self.op.get_shape().is_fully_defined())
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/ops/state_ops.py", line 271, in assign
validate_shape=validate_shape)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/ops/gen_state_ops.py", line 45, in assign
use_locking=use_locking, name=name)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/framework/ops.py", line 2506, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python3.4/site-packages/tensorflow/python/framework/ops.py", line 1269, in init
self._traceback = _extract_stack()
InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [40,300] rhs shape= [96,300]
[[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@CNN-1/aW"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](CNN-1/aW, save/RestoreV2)]]
The text was updated successfully, but these errors were encountered: