I want to normalize the input data by subtracting the 6th value. However, the results are unexpected.
import numpy as np
import torch
a = np.array([[[ -29.8316, 506.7845, 5400.1382],
[ -155.6416, 73.0718, 5448.8071],
[ -52.9619, -309.7045, 5251.0830],
[ -300.4998, -332.3928, 5156.6812],
[ -258.2405, 99.6090, 5244.6816],
[ -209.4844, 548.8338, 5290.7637],
[ -176.7308, -321.0486, 5203.8818],
[ -109.1576, -529.7281, 5123.8906],
[ -140.1912, -780.1214, 5074.6050],
[ -118.9348, -970.2283, 5058.5991],
[ 13.8925, -279.8529, 5421.0684],
[ 35.7916, -470.1449, 5257.7383],
[ -19.7603, -716.9181, 5140.2725],
[ -259.0900, -690.1336, 5050.5923],
[ -370.6709, -448.5993, 5134.1772],
[ -462.2866, -290.8295, 5307.6274],
[ -153.1819, -886.9761, 5130.1655]],
[[ -29.6097, 507.0160, 5400.0415],
[ -156.1013, 73.2300, 5446.2266],
[ -52.8395, -309.0523, 5247.8511],
[ -299.8065, -331.7188, 5151.9609],
[ -258.0193, 99.6480, 5243.2402],
[ -209.7421, 548.7822, 5290.6899],
[ -176.3229, -320.3856, 5199.9062],
[ -108.0304, -530.1070, 5123.3218],
[ -140.6482, -779.8441, 5071.7817],
[ -118.2912, -970.1854, 5056.8403],
[ 10.7354, -281.1750, 5414.3501],
[ 40.3466, -470.5802, 5251.2056],
[ -19.6162, -718.2531, 5137.8745],
[ -258.3210, -688.7090, 5046.1133],
[ -368.4557, -443.3939, 5120.0488],
[ -460.3479, -281.6299, 5289.6309],
[ -153.4338, -886.6000, 5127.5791]],
[[ -29.7913, 507.1184, 5400.0073],
[ -156.4464, 73.1930, 5444.3994],
[ -52.3020, -308.4679, 5245.2900],
[ -299.1556, -330.9422, 5149.0630],
[ -258.1010, 100.1828, 5241.8062],
[ -210.1292, 549.2088, 5290.5708],
[ -175.7287, -319.7050, 5197.1768],
[ -107.6006, -531.0508, 5125.0386],
[ -142.8517, -779.9221, 5071.1001],
[ -118.7543, -970.0274, 5056.5713],
[ 25.9413, -271.5096, 5396.5942],
[ 45.9570, -469.2388, 5242.0957],
[ -21.8357, -718.7902, 5137.6470],
[ -258.9276, -687.5615, 5042.6875],
[ -361.8696, -434.6036, 5099.1748],
[ -458.3741, -250.1555, 5240.7217],
[ -154.4211, -886.6248, 5127.2637]]])
a = torch.from_numpy(a)
a -= a[:,7:8,:]
print(a)
output
tensor([[[ 79.3260, 1036.5126, 276.2476],
[ -46.4840, 602.7999, 324.9165],
[ 56.1957, 220.0236, 127.1924],
[ -191.3422, 197.3353, 32.7906],
[ -149.0829, 629.3371, 120.7910],
[ -100.3268, 1078.5619, 166.8731],
[ -67.5732, 208.6795, 79.9912],
[ 0.0000, 0.0000, 0.0000],
[ -140.1912, -780.1214, 5074.6050], #<---here
[ -118.9348, -970.2283, 5058.5991],
[ 13.8925, -279.8529, 5421.0684],
[ 35.7916, -470.1449, 5257.7383],
[ -19.7603, -716.9181, 5140.2725],
[ -259.0900, -690.1336, 5050.5923],
[ -370.6709, -448.5993, 5134.1772],
[ -462.2866, -290.8295, 5307.6274],
[ -153.1819, -886.9761, 5130.1655]],
[[ 78.4207, 1037.1230, 276.7197],
[ -48.0709, 603.3370, 322.9048],
[ 55.1909, 221.0547, 124.5293],
[ -191.7761, 198.3882, 28.6391],
[ -149.9889, 629.7550, 119.9184],
[ -101.7117, 1078.8892, 167.3681],
[ -68.2925, 209.7214, 76.5844],
[ 0.0000, 0.0000, 0.0000],
[ -140.6482, -779.8441, 5071.7817],
[ -118.2912, -970.1854, 5056.8403],
[ 10.7354, -281.1750, 5414.3501],
[ 40.3466, -470.5802, 5251.2056],
[ -19.6162, -718.2531, 5137.8745],
[ -258.3210, -688.7090, 5046.1133],
[ -368.4557, -443.3939, 5120.0488],
[ -460.3479, -281.6299, 5289.6309],
[ -153.4338, -886.6000, 5127.5791]],
[[ 77.8093, 1038.1692, 274.9687],
[ -48.8458, 604.2438, 319.3608],
[ 55.2986, 222.5829, 120.2514],
[ -191.5550, 200.1086, 24.0244],
[ -150.5004, 631.2336, 116.7676],
[ -102.5286, 1080.2596, 165.5322],
[ -68.1281, 211.3458, 72.1382],
[ 0.0000, 0.0000, 0.0000],
[ -142.8517, -779.9221, 5071.1001],
[ -118.7543, -970.0274, 5056.5713],
[ 25.9413, -271.5096, 5396.5942],
[ 45.9570, -469.2388, 5242.0957],
[ -21.8357, -718.7902, 5137.6470],
[ -258.9276, -687.5615, 5042.6875],
[ -361.8696, -434.6036, 5099.1748],
[ -458.3741, -250.1555, 5240.7217],
[ -154.4211, -886.6248, 5127.2637]]], dtype=torch.float64)