Traceback (most recent call last):


 "tools/train_net.py", line 132, in <module>

main()


 "tools/train_net.py", line 114, in main

checkpoints = detectron.utils.train.train_model()


 "/data/hope/data/Detectron/detectron/utils/train.py", line 67, in train_model

workspace.RunNet(model.net.Proto().name)


 "/home/hope/anaconda3/envs/caffe2/lib/python2.7/site-packages/caffe2/python/workspace.py", line 236, in RunNet

StringifyNetName(name), num_iter, allow_fail,


 "/home/hope/anaconda3/envs/caffe2/lib/python2.7/site-packages/caffe2/python/workspace.py", line 197, in CallWithExceptionIntercept

return func(*args, **kwargs)
RuntimeError: [enforce fail at utility_ops.h:282] . Check failed: output->sizes() == Input(i).sizes().Description: Input #1, input dimension:[1, 256, 128, 168] should match output dimension: [1, 256, 64, 84]

Traceback (most recent call last):


 "train_softmax.py", line 453, in <module>

main()


 "train_softmax.py", line 450, in main

train_net(args)


 "train_softmax.py", line 444, in train_net

epoch_end_callback = epoch_cb )


 "/usr/local/lib/python2.7/dist-packages/mxnet/module/base_module.py", line 460, in fit

for_training=True, force_rebind=force_rebind)


 "/usr/local/lib/python2.7/dist-packages/mxnet/module/module.py", line 417, in bind

state_names=self._state_names)


 "/usr/local/lib/python2.7/dist-packages/mxnet/module/executor_group.py", line 231, in __init__

self.bind_exec(data_shapes, label_shapes, shared_group)


 "/usr/local/lib/python2.7/dist-packages/mxnet/module/executor_group.py", line 327, in bind_exec

shared_group))


 "/usr/local/lib/python2.7/dist-packages/mxnet/module/executor_group.py", line 603, in _bind_ith_exec

shared_buffer=shared_data_arrays, **input_shapes)


 "/usr/local/lib/python2.7/dist-packages/mxnet/symbol.py", line 1479, in simple_bind

raise RuntimeError(error_msg)
RuntimeError: simple_bind error. Arguments:
