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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/11/01 17:04:59 UTC
[GitHub] TonyTangYu opened a new issue #13079: Open
"mobilenet_v2-symbol.json": No such file or directory
TonyTangYu opened a new issue #13079: Open "mobilenet_v2-symbol.json": No such file or directory
URL: https://github.com/apache/incubator-mxnet/issues/13079
## Description
I want to train mobilenet_v2 using MXNet. I download the model of mobilenet_v2 from [this]( https://github.com/KeyKy/mobilenet-mxnet). When I run the `python train.py --gpu 1 --network mobilenet_v2 --pretrained mobilenet_v2 --lr 0.001 --batch-size 64 --epoch 0` the following error occurs.
## Environment info (Required)
```
----------Python Info----------
('Version :', '2.7.13')
('Compiler :', 'GCC 4.4.7 20120313 (Red Hat 4.4.7-1)')
('Build :', ('default', 'Dec 20 2016 23:09:15'))
('Arch :', ('64bit', 'ELF'))
------------Pip Info-----------
('Version :', '9.0.1')
('Directory :', '/THL5/home/daodao/anaconda2/lib/python2.7/site-packages/pip')
----------MXNet Info-----------
('Version :', '0.11.0')
('Directory :', '/THL5/home/daodao/softwares/mxnet0.11/python/mxnet')
Hashtag not found. Not installed from pre-built package.
```
## Error Message:
[12:38:38] src/io/iter_image_det_recordio.cc:281: ImageDetRecordIOParser: /THL5/home/daodao/ty_project/incubator-mxnet/example/ssd/data/train.rec, use 27 threads for decoding..
[12:38:38] src/io/iter_image_det_recordio.cc:334: ImageDetRecordIOParser: /THL5/home/daodao/ty_project/incubator-mxnet/example/ssd/data/train.rec, label padding width: 350
[12:38:39] src/io/iter_image_det_recordio.cc:281: ImageDetRecordIOParser: /THL5/home/daodao/ty_project/incubator-mxnet/example/ssd/data/val.rec, use 27 threads for decoding..
[12:38:39] src/io/iter_image_det_recordio.cc:334: ImageDetRecordIOParser: /THL5/home/daodao/ty_project/incubator-mxnet/example/ssd/data/val.rec, label padding width: 350
INFO:root:Start training with (gpu(1)) from pretrained model mobilenet_v2
Traceback (most recent call last):
File "train.py", line 153, in <module>
voc07_metric=args.use_voc07_metric)
File "/THL5/home/daodao/ty_project/incubator-mxnet/example/ssd/train/train_net.py", line 225, in train_net
_, args, auxs = mx.model.load_checkpoint(pretrained, epoch)
File "/THL5/home/daodao/anaconda2/lib/python2.7/site-packages/mxnet/model.py", line 438, in load_checkpoint
symbol = sym.load('%s-symbol.json' % prefix)
File "/THL5/home/daodao/anaconda2/lib/python2.7/site-packages/mxnet/symbol/symbol.py", line 2594, in load
check_call(_LIB.MXSymbolCreateFromFile(c_str(fname), ctypes.byref(handle)))
File "/THL5/home/daodao/anaconda2/lib/python2.7/site-packages/mxnet/base.py", line 252, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [12:38:40] src/io/local_filesys.cc:199: Check failed: allow_null LocalFileSystem::Open "mobilenet_v2-symbol.json": No such file or directory
Stack trace returned 10 entries:
[bt] (0) /THL5/home/daodao/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x36bac2) [0x2b686f147ac2]
[bt] (1) /THL5/home/daodao/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x36b8464) [0x2b6872494464]
[bt] (2) /THL5/home/daodao/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x36aff4a) [0x2b687248bf4a]
[bt] (3) /THL5/home/daodao/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(MXSymbolCreateFromFile+0x5a) [0x2b6871cbf42a]
[bt] (4) /THL5/home/daodao/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(ffi_call_unix64+0x4c) [0x2b686714c57c]
[bt] (5) /THL5/home/daodao/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(ffi_call+0x1f5) [0x2b686714bcd5]
[bt] (6) /THL5/home/daodao/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(_ctypes_callproc+0x3e6) [0x2b6867143376]
[bt] (7) /THL5/home/daodao/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(+0x9db3) [0x2b686713adb3]
[bt] (8) /THL5/home/daodao/anaconda2/bin/../lib/libpython2.7.so.1.0(PyObject_Call+0x53) [0x2b6864137e93]
[bt] (9) /THL5/home/daodao/anaconda2/bin/../lib/libpython2.7.so.1.0(PyEval_EvalFrameEx+0x715d) [0x2b68641ea80d]
## Minimum reproducible example
(If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.)
## Steps to reproduce
1. python train.py --gpu 1 --network mobilenet_v2 --pretrained mobilenet_v2 --lr 0.001 --batch-size 64 --epoch 0
## What have you tried to solve it?
I also run the command `python train.py --gpu 1 --network mobilenet_v2 --pretrained mobilenet_v2 --prefix /path/to/mobilenet_v2/model/ --lr 0.001 --batch-size 64 --epoch 0` but get the same error.
Could someone help me solve it? Thank you!
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