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leeyoshinari / YOLO_v2

The implementation of YOLO v2 with TensorFlow
GNU General Public License v3.0
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Assign requires shapes of both tensors to match. lhs shape= [30] rhs shape= [425] #31

Closed eain3314 closed 4 years ago

eain3314 commented 5 years ago

Error running train_val

Restore weights from: data\output\yolo_weights.ckpt Traceback (most recent call last): File "D:\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1322, in _do_call return fn(*args) File "D:\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1307, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "D:\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1409, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [30] rhs shape= [425] [[Node: save/Assign_15 = Assign[T=DT_FLOAT, _class=["loc:@biases_22"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](biases_22, save/RestoreV2/_31)]] [[Node: save/RestoreV2/_56 = _SendT=DT_FLOAT, client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_62_save/RestoreV2", _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "D:/360Downloads/ganshijiance/YOLO_v2-master/train_val.py", line 131, in main() File "D:/360Downloads/ganshijiance/YOLO_v2-master/train_val.py", line 123, in main train = Train(yolo, pre_data) File "D:/360Downloads/ganshijiance/YOLO_v2-master/train_val.py", line 51, in init self.saver.restore(self.sess, weight_file) File "D:\anaconda\lib\site-packages\tensorflow\python\training\saver.py", line 1752, in restore {self.saver_def.filename_tensor_name: save_path}) File "D:\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 900, in run run_metadata_ptr) File "D:\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1135, in _run feed_dict_tensor, options, run_metadata) File "D:\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1316, in _do_run run_metadata) File "D:\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1335, 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= [30] rhs shape= [425] [[Node: save/Assign_15 = Assign[T=DT_FLOAT, _class=["loc:@biases_22"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](biases_22, save/RestoreV2/_31)]] [[Node: save/RestoreV2/_56 = _SendT=DT_FLOAT, client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_62_save/RestoreV2", _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

Caused by op 'save/Assign_15', defined at: File "D:/360Downloads/ganshijiance/YOLO_v2-master/train_val.py", line 131, in main() File "D:/360Downloads/ganshijiance/YOLO_v2-master/train_val.py", line 123, in main train = Train(yolo, pre_data) File "D:/360Downloads/ganshijiance/YOLO_v2-master/train_val.py", line 32, in init self.saver = tf.train.Saver(self.variable_to_restore) File "D:\anaconda\lib\site-packages\tensorflow\python\training\saver.py", line 1284, in init self.build() File "D:\anaconda\lib\site-packages\tensorflow\python\training\saver.py", line 1296, in build self._build(self._filename, build_save=True, build_restore=True) File "D:\anaconda\lib\site-packages\tensorflow\python\training\saver.py", line 1333, in _build build_save=build_save, build_restore=build_restore) File "D:\anaconda\lib\site-packages\tensorflow\python\training\saver.py", line 781, in _build_internal restore_sequentially, reshape) File "D:\anaconda\lib\site-packages\tensorflow\python\training\saver.py", line 422, in _AddRestoreOps assign_ops.append(saveable.restore(saveable_tensors, shapes)) File "D:\anaconda\lib\site-packages\tensorflow\python\training\saver.py", line 113, in restore self.op.get_shape().is_fully_defined()) File "D:\anaconda\lib\site-packages\tensorflow\python\ops\state_ops.py", line 219, in assign validate_shape=validate_shape) File "D:\anaconda\lib\site-packages\tensorflow\python\ops\gen_state_ops.py", line 63, in assign use_locking=use_locking, name=name) File "D:\anaconda\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "D:\anaconda\lib\site-packages\tensorflow\python\framework\ops.py", line 3414, in create_op op_def=op_def) File "D:\anaconda\lib\site-packages\tensorflow\python\framework\ops.py", line 1740, 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= [30] rhs shape= [425] [[Node: save/Assign_15 = Assign[T=DT_FLOAT, _class=["loc:@biases_22"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](biases_22, save/RestoreV2/_31)]] [[Node: save/RestoreV2/_56 = _SendT=DT_FLOAT, client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_62_save/RestoreV2", _device="/job:localhost/replica:0/task:0/device:CPU:0"]]