Compatibility problem of Kaldi with python version

[Dusefu]

Dear Dan,

I am installing Pytorch to used with Kaldi. When I install using anaconda framework the

default python version changed from python 2.7 to python 3.6. Then, When I try to run the Script 

run_cnn_tdnn_1a.sh from mini_librispeech to my own data. It displayed an error syntax errors

related to the python codes. 

learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)

It can syntax error Missing parentheses it to call 'print'. When I fix it, it also displayed the indentation error in the convolution.py which was ok before.

I think the problem is a compatibility problem. 

How can I make it compatible the Kaldi with python 3.6?

With best regards,

[Jan Trmal]

It's not a good idea to have python3 symlinked as python.

if you change the statement to

learning_rate_factor=$(echo "print(0.5/$xent_regularize)" | python)

it should work for you, but it probably won't work for people using python2

what would work for both groups is

learning_rate_factor=$(echo "print 0.5/$xent_regularize" | perl)

I don't think the error in the convolution.py does relate to this.

y.

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[tessfu geteye]

Thank you Jan Trmal.

I tried both the "learning_rate_factor=$(echo "print(0.5/$xent_regularize)" | python)" and "learning_rate_factor=$(echo "print 0.5/$xent_regularize" | perl)" and both of them solved the error.

However, there are errors occur when parsing xconfig 

steps/nnet3/xconfig_to_configs.py --xconfig-file exp/chain/tdnn1g_sp/configs/network.xconfig --config-dir exp/chain/tdnn1g_sp/configs/ ERROR:root:***Exception caught while parsing the following xconfig line: *** input dim=100 name=ivector Traceback (most recent call last): File "steps/nnet3/xconfig_to_configs.py", line 333, in <module> main() File "steps/nnet3/xconfig_to_configs.py", line 323, in main all_layers = xparser.read_xconfig_file(args.xconfig_file, existing_layers) File "steps/libs/nnet3/xconfig/parser.py", line 183, in read_xconfig_file this_layer = xconfig_line_to_object(line, existing_layers) File "steps/libs/nnet3/xconfig/parser.py", line 88, in xconfig_line_to_object if not config_to_layer.has_key(first_token): AttributeError: 'dict' object has no attribute 'has_key'

I run the script run_tdnn.sh

What do you suggest to fix the errors?  

Is it possible to recovering the python from python 3.6 to python 2.7 to solve the errors?

With regards,

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Tessfu Geteye

Huazhong University of Science and Technology

Department of Computer Science 

Email:   tessf...@gmail.com

Mobile:      15549424335

Wuhan, China

 

[Daniel Povey]

The has_key thing is already fixed in the current version of Kaldi.

I will make a PR to fix all the xent_regularize things though, they exist in many scripts.

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