AssertionError: Nothing found in output/ssdg_pacs/nlab_210/StyleMatch/resnet18/v1/art_painting

[brainie]

Good morning. Please i was trying to explore the semi supervised domain Generalization. I have followed the readme file to the last line but it came out with this line

Parsing files in output/ssdg_pacs/nlab_210/StyleMatch/resnet18/v1/art_painting Traceback (most recent call last): File "parse_test_res.py", line 188, in main(args, end_signal) File "parse_test_res.py", line 147, in main end_signal=end_signal File "parse_test_res.py", line 97, in parse_function assert len(outputs) > 0, f'Nothing found in {directory}' AssertionError: Nothing found in output/ssdg_pacs/nlab_210/StyleMatch/resnet18/v1/art_painting

Please what can i do?

[KaiyangZhou]

Seems like the error occurs when you were using parse_test_res.py (more details would be helpful)? Take a look into the code, especially on where the error happens so you can know where you did it wrong

[brainie]

Looking through the code, I found this

 metric1 = {
        'name': 'accuracy',
        'regex': re.compile(r'\* accuracy: ([\.\deE+-]+)%')
    }

    metric2 = {
        'name': 'error',
        'regex': re.compile(r'\* error: ([\.\deE+-]+)%')
    }

Turns out that inside parse_function, the regex isn't matched with what is in the log.txt. This makes it not populate the output variable of the code shown below.

 for metric in metrics:
        match = metric['regex'].search(line)
        if match and good_to_go:
            print("good_to_go")
            if 'file' not in output:
                output['file'] = fpath
            num = float(match.group(1))
            name = metric['name']
            output[name] = num

What am I doing wrong?