## Description
In the directory **example**,  there are some cases that can't be run normally 
due to code bugs and  lost  dependency files or  links.

## covered cases ##
- [x] mxnet_adversarial_vae
- [x] restricted-boltzmann-machine
- [x] sparse\linear_classification  
- [x] speech_recognition

## Environment info (Required)
All the cases were tested on the master branch, commit id :  
abbe283ef8b1d78b002cb492651f002ae27ba544
### mxnet_adversarial_vae ###
1. command : python vaegan_mxnet.py --train
2. Error Message:
terminate called after throwing an instance of 'dmlc::Error'
what():  [10:07:17] src/engine/./threaded_engine.h:379: std::exception
**A fatal error occurred in asynchronous engine operation.** If you do not know 
what caused this error, you can try set environment variable MXNET_ENGINE_TYPE 
to NaiveEngine and run with debugger (i.e. gdb). This will force all operations 
to be synchronous and backtrace will give you the series of calls that lead to 
this error. Remember to set MXNET_ENGINE_TYPE back to empty after debugging.

### named_entity_recognition ###
1. command : python preprocess.py
2. error description: the data.csv file can't be normally read.
3. Error Message:
Traceback (most recent call last):
  File "preprocess.py", line 27, in <module>
    df = pd.read_csv("../data/ner_dataset.csv")
  File 
"/home/luobaozo/anaconda3/envs/py27/lib/python2.7/site-packages/pandas/io/parsers.py",
 line 678, in parser_f
    return _read(filepath_or_buffer, kwds)
  File 
"/home/luobaozo/anaconda3/envs/py27/lib/python2.7/site-packages/pandas/io/parsers.py",
 line 446, in _read
    data = parser.read(nrows)
  File 
"/home/luobaozo/anaconda3/envs/py27/lib/python2.7/site-packages/pandas/io/parsers.py",
 line 1036, in read
    ret = self._engine.read(nrows)
  File 
"/home/luobaozo/anaconda3/envs/py27/lib/python2.7/site-packages/pandas/io/parsers.py",
 line 1848, in read
    data = self._reader.read(nrows)
  File "pandas/_libs/parsers.pyx", line 876, in 
pandas._libs.parsers.TextReader.read
  File "pandas/_libs/parsers.pyx", line 891, in 
pandas._libs.parsers.TextReader._read_low_memory
  File "pandas/_libs/parsers.pyx", line 945, in 
pandas._libs.parsers.TextReader._read_rows
  File "pandas/_libs/parsers.pyx", line 932, in 
pandas._libs.parsers.TextReader._tokenize_rows
  File "pandas/_libs/parsers.pyx", line 2112, in 
pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in 
line 6, saw 2

### restricted-boltzmann-machine ###
1. command: python binary_rbm_gluon.py --no-cuda
2. Error Message:
 File "binary_rbm_gluon.py", line 56, in <module>
    mx.random.seed(pyrnd.getrandbits(32))
  File "/home/luobaozo/intel_mxnet_2-subgraph_dev/python/mxnet/random.py", line 
94, in seed
    raise ValueError('seed_state must be int')
ValueError: seed_state must be int

### sparse\linear_classification  ###
1. command: python train.py
2. error description: 
2. Error Message:
Dataset avazu-app not present. Downloading now ...
bzip2: avazu-app.bz2 is not a bzip2 file.
Dataset avazu-app is now present.
Dataset avazu-app.t not present. Downloading now ...
bzip2: avazu-app.t.bz2 is not a bzip2 file.
Dataset avazu-app.t is now present.
Traceback (most recent call last):
  File "train.py", line 85, in <module>
    part_index=rank)
  File "/home/luobaozo/intel_mxnet_2-subgraph_dev/python/mxnet/io.py", line 
936, in creator
    ctypes.byref(iter_handle)))
  File "/home/luobaozo/intel_mxnet_2-subgraph_dev/python/mxnet/base.py", line 
255, in check_call
    raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [12:08:19] src/io/input_split_base.cc:173: Check failed: 
files_.size() != 0U (0 vs. 0) Cannot find any files that matches the URI 
pattern 
/home/luobaozo/incubator-mxnet/example/sparse/linear_classification/data/avazu-app


### speech_recognition ##
1. lost link:  The instruction of Baidu's Warp CTC installation 

@pengzhao-intel @juliusshufan


[ Full content available at: 
https://github.com/apache/incubator-mxnet/issues/12528 ]
This message was relayed via gitbox.apache.org for [email protected]

Reply via email to