def flip()

in common/utils/transforms.py [0:0]

• 13 lines of code
• 5 McCabe index (conditional complexity)

def flip(tensor, dims):
    if not isinstance(dims, (tuple, list)):
        dims = [dims]
    indices = [torch.arange(tensor.shape[dim] - 1, -1, -1,
                            dtype=torch.int64) for dim in dims]
    multi_indices = multi_meshgrid(*indices)
    final_indices = [slice(i) for i in tensor.shape]
    for i, dim in enumerate(dims):
        final_indices[dim] = multi_indices[i]
    flipped = tensor[final_indices]
    assert flipped.device == tensor.device
    assert flipped.requires_grad == tensor.requires_grad
    return flipped