Exemplo n.º 1
0
def setup(log_dir):
    logger.configure(log_dir, prefix='main_test_script')
    logger.remove('')
    logger.log_line('hey')
    logger.log_data(dict(test=True), "test-data/dict.pkl")

    print(f"logging to {pathJoin(logger.log_directory, logger.prefix)}")
Exemplo n.º 2
0
def render(env_name):
    from many_world import IS_PATCHED
    assert IS_PATCHED, "need the patched gym"
    import gym, numpy as np
    from tqdm import tqdm
    from ml_logger import logger

    logger.prefix = env_name

    env = gym.make(env_name)
    env.reset()

    frames = []

    y = 0
    args = [
        dict(x=x, y=y, filename=f"images/{x:0.3f},{y:0.3f}.png")
        for x in np.linspace(-0.25, 0.25, 128)
    ]
    logger.log_data(args, 'index.pkl')

    for p in tqdm(args):
        x, y, filename = p['x'], p['y'], p['filename']
        env.set_state(np.array([x, y, 0, 0]), np.array([0, 0, 0, 0]))
        # env.do_simulation([0, 0], 1) # PointMass does not need this.
        image = env.render('grey', width=20, height=20)
        frames.append(image)
        logger.log_image(image, filename)

    print('saving video')
    logger.log_video(frames, f"{env_name}.mp4")
    print('done')
Exemplo n.º 3
0
def test_log_data(setup):
    import numpy
    d1 = numpy.random.randn(20, 10)
    logger.log_data(d1, 'test_file.pkl')
    sleep(1.0)
    d2 = numpy.random.randn(20, 10)
    logger.log_data(d2, 'test_file.pkl', overwrite=True)
    sleep(1.0)

    data = logger.load_pkl('test_file.pkl')
    assert len(data) == 1, "data should contain only one array because we overwrote it."
    assert numpy.array_equal(data[0], d2), "first should be the same as d2"
Exemplo n.º 4
0
def test_load_pkl(setup):
    import numpy
    d1 = numpy.random.randn(20, 10)
    logger.log_data(d1, 'test_file.pkl')
    sleep(1.0)
    d2 = numpy.random.randn(20, 10)
    logger.log_data(d2, 'test_file.pkl')
    sleep(1.0)

    data = logger.load_pkl('test_file.pkl')
    assert len(data) == 2, "data should contain two arrays"
    assert numpy.array_equal(data[0], d1), "first should be the same as d1"
    assert numpy.array_equal(data[1], d2), "first should be the same as d2"