AVX512 quantization (cast from float to uint8) returns wrong results

[Flamefire]

This is the issue I reported originally at https://github.com/tensorflow/tensorflow/issues/49944

The problem is that the values returned by the float to uint8 cast are always in the wrong order. I.e. the code here: https://github.com/openxla/xla/blob/3ae086875f9a42f1a5491f1270253f623668473f/xla/tsl/framework/fixedpoint/TypeCastingAVX512.h#L85-L112

This can best be seen by using a test with inputs such that the output should be an ordered sequence of 120 numbers which I broke down into lines of 8.

AVX512BW path:

0   1   2   3  16  17  18  19  
32  33  34  35  48  49  50  51   
4   5   6   7  20  21  22  23  
36  37  38  39  52  53  54  55   
8   9  10  11  24  25  26  27  
40  41  42  43  56  57  58  59  
12  13  14  15  28  29  30  31  
44  45  46  47  60  61  62  63  
64  65  66  67  68  69  70  71  
72  73  74  75  76  77  78  79  
80  81  82  83  84  85  86  87  
88  89  90  91  92  93  94  95  
96  97  98  99 100 101 102 103 
104 105 106 107 108 109 110 111 
112 113 114 115 116 117 118 119

Fallback:

36  37  38  39  32  33  34  35  
52  53  54  55  48  49  50  51   
4   5    6   7   0   1   2   3  
20  21  22  23  16  17  18  19  
44  45  46  47   40  41  42  43  
60  61  62  63  56  57  58  59  
12  13  14  15   8   9   10  11  
28  29  30  31  24  25  26  27  
64  65  66  67  68  69  70  71   
72  73  74  75  76  77  78  79  
80  81  82  83  84  85  86  87  
88  89   90  91  92  93  94  95  
96  97  98  99 100 101 102 103 
104 105 106 107  108 109 110 111 
112 113 114 115 116 117 118 119

See https://github.com/tensorflow/tensorflow/issues/49944#issuecomment-2178594002 for a solution to this specific code although other code paths are likely affected too