Example #1
0
def test_multi_gpu_model_ddp_test_only(tmpdir, cli_args):
    # call the script
    call_training_script(ddp_model, cli_args, 'test', tmpdir)

    # load the results of the script
    result_path = os.path.join(tmpdir, 'ddp.result')
    result = torch.load(result_path)

    # verify the file wrote the expected outputs
    assert result['status'] == 'complete'
Example #2
0
def test_multi_gpu_model_ddp_fit_test(tmpdir, cli_args):
    # call the script
    call_training_script(ddp_model, cli_args, 'fit_test', tmpdir, timeout=20)

    # load the results of the script
    result_path = os.path.join(tmpdir, 'ddp.result')
    result = torch.load(result_path)

    # verify the file wrote the expected outputs
    assert result['status'] == 'complete'

    model_outs = result['result']
    for out in model_outs:
        assert out['test_acc'] > 0.90