bf9728d1efd93651a679403d5af598ac8137ae48,engine/uniform_sampler.py,,rand_spatial_coordinates,#Any#Any#Any#Any#,12

Before Change

    // Please see grid_sampler.py generate_grid_coordinates() for more info
    grid_spatial_rank = int(np.floor(spatial_rank))
    full_spatial_rank = int(np.ceil(spatial_rank))
    assert np.all([d >= win_size for d in img_size[:grid_spatial_rank]])
    // consisting of starting and ending coordinates

    all_coords = np.zeros((n_samples, int(spatial_rank*2.0)), dtype=np.int)

After Change

    // Please see grid_sampler.py generate_grid_coordinates() for more info
    grid_spatial_rank = int(np.floor(spatial_rank))
    full_spatial_rank = int(np.ceil(spatial_rank))
    if not np.all([d >= win_size for d in img_size[:grid_spatial_rank]]):
        raise ValueError("Window size larger than the input image dims"
                         " (please make sure that image dims after "
                         "random spatial scaling are still larger than window"
                         " size)")
    // consisting of starting and ending coordinates

    all_coords = np.zeros((n_samples, int(spatial_rank*2.0)), dtype=np.int)

    for i in range(0, grid_spatial_rank):
        all_coords[:, i] = np.random.randint(

Instances