(test_batch_size, num_rec_out=1)
return get_full_clips(c.TEST_DIR, test_batch_size, num_rec_out=num_rec_out)
Gets a clip from the test dataset.

    @param test_batch_size: The number of clips.
    @param num_rec_out: The number of outputs to predict. Outputs > 1 are computed recursively,
                        using the previously-generated frames as input. Default = 1.

    @return: An array of shape:
             [test_batch_size, c.TEST_HEIGHT, c.TEST_WIDTH, (3 * (c.HIST_LEN + num_rec_out))].
             A batch of frame sequences with values normalized in range [-1, 1].
Gets a clip from the test dataset.
Gets a clip from the test dataset .
def get_test_batch(test_batch_size, num_rec_out=1):
    """
    Gets a clip from the test dataset.

    @param test_batch_size: The number of clips.
    @param num_rec_out: The number of outputs to predict. Outputs > 1 are computed recursively,
                        using the previously-generated frames as input. Default = 1.

    @return: An array of shape:
             [test_batch_size, c.TEST_HEIGHT, c.TEST_WIDTH, (3 * (c.HIST_LEN + num_rec_out))].
             A batch of frame sequences with values normalized in range [-1, 1].
    """
    return get_full_clips(c.TEST_DIR, test_batch_size, num_rec_out=num_rec_out)
def get_test_batch ( test_batch_size , num_rec_out = 1 ) : return get_full_clips ( c . TEST_DIR , test_batch_size , num_rec_out = num_rec_out )