from auto_transformers import AutoTransformers
import torch

f = open('torchscript.csv', 'a+')
f.write('model_name, run op, save_torchscript, check_result\n')

models = AutoTransformers.supported_model_names()[:1]

for name in models:
    line = f'{name}, '
    try:
        op = AutoTransformers(model_name=name)
        out1 = op('hello, world.')
        line += 'success, '
    except Exception as e:
        line += 'fail\n'
        f.write(line)
        print(f'Fail to load op for {name}: {e}')
        continue
    try:
        op.save_model(format='torchscript')
        line += 'success, '
    except Exception as e:
        line += 'fail\n'
        f.write(line)
        print(f'Fail to save onnx for {name}: {e}')
        continue
    try:
        saved_name = name.replace('/', '-')
        op.model = torch.jit.load(f'saved/torchscript/{saved_name}.pt')
        out2 = op('hello, world.')
        assert (out1 == out2).all()
        line += 'success'
    except Exception as e:
        line += 'fail\n'
        f.write(line)
        print(f'Fail to check onnx for {name}: {e}')
        continue
    line += '\n'
    f.write(line)