The results I got above was from an image.
When I try torch.ones(1, 3, 416, 416) the results are closer:


Python:
[-0.2647885382,  0.1896176785,  0.5414127707, -0.1591370702, -0.4948869348,  0.9562743902,  0.2362334579, -0.3959787488, 0.4024670124, -0.4271552861] 


Android:
[-0.26478815, 0.18961564, 0.5414131, -0.15913847, -0.49488664, 0.956275, 0.23623104, -0.39597753, 0.40246645, -0.4271558]


The L2 norm for these vectors was 3.8e-06, comparing to 1e-02 for my first results.
@ljk53 What do your results look like?