faster-rcnn用自己数据集训练时发生的问题，求解！！

[qq_23515451]

2018-06-03 01:46:47.789517: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Invalid argument: Incompatible shapes: [0,124] vs. [256,124]
[[Node: gradients/loss_default/mul_9_grad/mul_1 = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](vgg_16/rpn_rois/PyFunc/_351, gradients/loss_default/Sum_1_grad/Tile)]]
Traceback (most recent call last):
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1323, in _do_call
return fn(*args)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1302, in _run_fn
status, run_metadata)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 473, in __exit__
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [0,124] vs. [256,124]
[[Node: gradients/loss_default/mul_9_grad/mul_1 = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](vgg_16/rpn_rois/PyFunc/_351, gradients/loss_default/Sum_1_grad/Tile)]]
[[Node: gradients/vgg_16/fc6/MatMul_grad/tuple/control_dependency_1/_359 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_968_gradients/vgg_16/fc6/MatMul_grad/tuple/control_dependency_1", tensor_type=DT_FLOAT, _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 "train.py", line 211, in <module>
train.train()
File "train.py", line 152, in train
rpn_loss_cls, rpn_loss_box, loss_cls, loss_box, total_loss = self.net.train_step(sess, blobs, train_op)
File "E:\Faster-RCNN-TensorFlow-Python3.5-master\Faster-RCNN-TensorFlow-Python3.5-master\lib\nets\network.py", line 370, in train_step
feed_dict=feed_dict)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 889, in run
run_metadata_ptr)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1120, in _run
feed_dict_tensor, options, run_metadata)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1317, in _do_run
options, run_metadata)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1336, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [0,124] vs. [256,124]
[[Node: gradients/loss_default/mul_9_grad/mul_1 = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](vgg_16/rpn_rois/PyFunc/_351, gradients/loss_default/Sum_1_grad/Tile)]]
[[Node: gradients/vgg_16/fc6/MatMul_grad/tuple/control_dependency_1/_359 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_968_gradients/vgg_16/fc6/MatMul_grad/tuple/control_dependency_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

Caused by op 'gradients/loss_default/mul_9_grad/mul_1', defined at:
File "train.py", line 211, in <module>
train.train()
File "train.py", line 92, in train
gvs = optimizer.compute_gradients(loss)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\training\optimizer.py", line 414, in compute_gradients
colocate_gradients_with_ops=colocate_gradients_with_ops)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\gradients_impl.py", line 581, in gradients
grad_scope, op, func_call, lambda: grad_fn(op, *out_grads))
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\gradients_impl.py", line 353, in _MaybeCompile
return grad_fn() # Exit early
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\gradients_impl.py", line 581, in <lambda>
grad_scope, op, func_call, lambda: grad_fn(op, *out_grads))
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\math_grad.py", line 747, in _MulGrad
array_ops.reshape(math_ops.reduce_sum(x * grad, ry), sy))
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\math_ops.py", line 894, in binary_op_wrapper
return func(x, y, name=name)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1117, in _mul_dispatch
return gen_math_ops._mul(x, y, name=name)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 2725, in _mul
"Mul", x=x, y=y, name=name)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2956, in create_op
op_def=op_def)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1470, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

...which was originally created as op 'loss_default/mul_9', defined at:
File "train.py", line 211, in <module>
train.train()
File "train.py", line 86, in train
layers = self.net.create_architecture(sess, "TRAIN", self.imdb.num_classes, tag='default')
File "E:\Faster-RCNN-TensorFlow-Python3.5-master\Faster-RCNN-TensorFlow-Python3.5-master\lib\nets\network.py", line 309, in create_architecture
self._add_losses()
File "E:\Faster-RCNN-TensorFlow-Python3.5-master\Faster-RCNN-TensorFlow-Python3.5-master\lib\nets\network.py", line 247, in _add_losses
loss_box = self._smooth_l1_loss(bbox_pred, bbox_targets, bbox_inside_weights, bbox_outside_weights)
File "E:\Faster-RCNN-TensorFlow-Python3.5-master\Faster-RCNN-TensorFlow-Python3.5-master\lib\nets\network.py", line 206, in _smooth_l1_loss
out_loss_box = bbox_outside_weights * in_loss_box
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\math_ops.py", line 894, in binary_op_wrapper
return func(x, y, name=name)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1117, in _mul_dispatch
return gen_math_ops._mul(x, y, name=name)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 2725, in _mul
"Mul", x=x, y=y, name=name)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2956, in create_op
op_def=op_def)
File "C:\Users\hasee\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1470, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): Incompatible shapes: [0,124] vs. [256,124]
[[Node: gradients/loss_default/mul_9_grad/mul_1 = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](vgg_16/rpn_rois/PyFunc/_351, gradients/loss_default/Sum_1_grad/Tile)]]
[[Node: gradients/vgg_16/fc6/MatMul_grad/tuple/control_dependency_1/_359 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_968_gradients/vgg_16/fc6/MatMul_grad/tuple/control_dependency_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]




求解答，先谢谢了！！！