我想用 ChainerCV 训练一个 Faster R-CNN。作为第一次测试，我主要复制了提供的示例，我只更改了与数据集对应的行以使用我的自定义数据集。我检查了我的数据集是否完全可以使用本教程中描述的所有操作。
如果我在没有更改的情况下运行脚本，一切都会完美，但如果我更改batch_size，我会收到错误消息。我尝试将shared_mem从 100 MB 增加到 1000 MB，但错误并没有消失。
设置 batch_size=2 时出错：
Exception in main training loop: all the input array dimensions except for the concatenation axis must match exactly
Traceback (most recent call last):
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/chainer/training/trainer.py", line 315, in run
update()
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/chainer/training/updaters/standard_updater.py", line 165, in update
self.update_core()
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/chainer/training/updaters/standard_updater.py", line 171, in update_core
in_arrays = self.converter(batch, self.device)
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/chainer/dataset/convert.py", line 134, in concat_examples
[example[i] for example in batch], padding[i])))
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/chainer/dataset/convert.py", line 164, in _concat_arrays
return xp.concatenate([array[None] for array in arrays])
Will finalize trainer extensions and updater before reraising the exception.
Traceback (most recent call last):
File "/home/cv/ChainerCV/faster_rcnn/train.py", line 131, in <module>
main()
File "/home/cv/ChainerCV/faster_rcnn/train.py", line 126, in main
trainer.run()
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/chainer/training/trainer.py", line 329, in run
six.reraise(*sys.exc_info())
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/six.py", line 693, in reraise
raise value
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/chainer/training/trainer.py", line 315, in run
update()
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/chainer/training/updaters/standard_updater.py", line 165, in update
self.update_core()
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/chainer/training/updaters/standard_updater.py", line 171, in update_core
in_arrays = self.converter(batch, self.device)
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/chainer/dataset/convert.py", line 134, in concat_examples
[example[i] for example in batch], padding[i])))
File "/home/cv/anaconda3/envs/chainer/lib/python3.6/site-packages/chainer/dataset/convert.py", line 164, in _concat_arrays
return xp.concatenate([array[None] for array in arrays])
ValueError: all the input array dimensions except for the concatenation axis must match exactly
系统信息：
__Hardware Information__
Machine : x86_64
CPU Name : skylake
Number of accessible CPU cores : 8
__OS Information__
Platform : Linux-4.15.0-45-generic-x86_64-with-debian-stretch-sid
Release : 4.15.0-45-generic
System Name : Linux
Version : #48~16.04.1-Ubuntu SMP Tue Jan 29 18:03:48 UTC 2019
OS specific info : debianstretch/sid
glibc info : glibc 2.10
__CUDA Information__
Found 1 CUDA devices
id 0 b'GeForce GTX 1080' [SUPPORTED]
compute capability: 6.1
pci device id: 0
pci bus id: 1
Summary:
1/1 devices are supported
CUDA driver version : 10000
__Conda Information__
conda_build_version : 3.17.6
conda_env_version : 4.6.3
platform : linux-64
python_version : 3.7.1.final.0
编辑：使用 batch_size=2 运行示例时，也会发生错误。