roywei commented on issue #15431: [MXNet 1.5.0.rc2] Issues with asnumpy() method URL: https://github.com/apache/incubator-mxnet/issues/15431#issuecomment-510236197 @Wallart your code is running fine on my machine. I'm testing on[ LJ-Speech Dataset](https://keithito.com/LJ-Speech-Dataset/) added a few lines in `main` to format the text files, and everything is plotted, and `asnumpy()` works fine. Could you try without Docker? ``` if __name__ == '__main__': logging.basicConfig() logging.getLogger().setLevel(logging.INFO) params = { 'max_wav_value': 32768.0, # for 16 bits files 'sampling_rate': 22050, 'filter_length': 1024, 'hop_length': 256, 'win_length': 1024, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 8000.0 } with open('~/Downloads/LJSpeech-1.1/metadata.csv', encoding='utf-8') as f: for line in f: record = line.split('|') file_name = record[0] + '.txt' content = record[2] with open('~/Downloads/LJSpeech-1.1/wavs/' + file_name, 'w', encoding='utf-8') as text_output: text_output.write(content) french = WavDataset('~/Downloads/LJSpeech-1.1/wavs', text_to_sequence, **params) assert type(french[0]) == tuple ```
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