tf.train.Saver() error in test.py

[zhixiaochuan12]

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)]]