saurabh-shandilya opened a new issue, #13296: URL: https://github.com/apache/tvm/issues/13296
### Expected behavior I am trying to run pytorch's ssd300_vgg16 model via TVM's VirtualMachine. I followed the instructions in https://github.com/apache/tvm/issues/10050 to overcome the initial problems and now the network runs fine. However the results are all wrong. They don't match the pytorch reference output and really way off. The code is based on mask-rcnn example provided here - https://tvm.apache.org/docs/how_to/deploy_models/deploy_object_detection_pytorch.html. I've tried targets llvm and cuda both and results are bad for both. Pytorch reference output ************************* (tensor([[2.4417e+02, 2.2165e+02, 3.6217e+02, 2.9035e+02], [2.9954e+02, 2.6913e+02, 4.6809e+02, 3.8972e+02], [1.9778e+02, 1.9647e+02, 2.5620e+02, 3.2252e+02], [2.7028e+01, 2.0530e+02, 1.0533e+02, 3.5209e+02], [3.4073e+02, 2.0001e+02, 4.3230e+02, 3.7326e+02], [1.4415e+02, 2.0797e+02, 1.6326e+02, 2.6495e+02], [2.2417e+02, 2.0850e+02, 2.7180e+02, 2.6460e+02], [1.3226e+02, 2.1215e+02, 1.4580e+02, 2.5770e+02], [1.2254e+02, 2.1110e+02, 1.3493e+02, 2.5713e+02], [8.0295e+01, 2.1339e+02, 9.8900e+01, 2.6089e+02], [1.7209e+02, 1.9866e+02, 2.1437e+02, 3.1835e+02], [8.8501e+01, 2.1271e+02, 1.0255e+02, 2.5695e+02], [0.0000e+00, 2.3197e+02, 2.0041e+01, 2.5666e+02], [3.1612e+02, 1.8432e+01, 3.4849e+02, 4.9051e+01], [1.1125e+02, 2.1442e+02, 1.2177e+02, 2.5141e+02], [1.5562e+02, 1.3672e+02, 1.8261e+02, 1.7365e+02], [1.5833e+02, 2.1220e+02, 1.7274e+02, 2.6225e+02], [1.6501e+02, 2.0565e+02, 2.0250e+02, 2.7752e+02], [2.2764e+01, 2.3100e+02, 4.4465e+01, 2.6462e+02], [7.0415e+01, 2.1830e+02, 8.1617e+01, 2.5416e+02], [1.2488e+02, 2.0766e+02, 1.5897e+02, 2.6208e+02], [3.8607e+01, 2.0426e+02, 7.9962e+01, 2.6993e+02], [8.2036e+00, 2.3470e+02, 3.2965e+01, 2.5809e+02], [3.5287e+02, 1.8980e+02, 4.0411e+02, 2.5538e+02], [3.5970e+01, 2.1084e+02, 5.3370e+01, 2.5875e+02], [1.6251e+02, 2.0354e+02, 2.5836e+02, 2.5754e+02], [1.7772e+01, 1.9012e+02, 2.2498e+02, 3.6969e+02], [1.2379e+02, 2.1581e+02, 1.3302e+02, 2.4182e+02], [1.9756e+02, 1.9395e+02, 2.1564e+02, 2.2745e+02], [6.1785e+01, 3.5410e+00, 8.5044e+01, 3.0485e+01], [1.2857e+02, 1.2811e+01, 1.5189e+02, 6.3675e+01], [1.7101e+02, 2.0569e+02, 1.8972e+02, 2.4509e+02], [1.7452e+02, 2.0692e+02, 1.8599e+02, 2.2773e+02], [9.3479e+01, 2.1707e+02, 1.0389e+02, 2.4277e+02], [1.4877e+02, 2.0663e+02, 1.8458e+02, 2.6856e+02], [1.3445e+02, 2.1610e+02, 1.4422e+02, 2.4222e+02], [4.7994e+02, 1.9391e+02, 4.9662e+02, 2.4127e+02], [1.7817e+02, 2.0492e+02, 1.8938e+02, 2.2127e+02], [5.0056e+01, 2.0740e+02, 7.0734e+01, 2.4314e+02], [7.1253e+01, 2.1274e+02, 8.1918e+01, 2.3385e+02], [1.8651e+02, 2.0381e+02, 2.0017e+02, 2.2575e+02], [8.5727e+01, 2.1584e+02, 9.7125e+01, 2.3654e+02], [1.4228e+02, 1.4399e+02, 1.6137e+02, 1.7483e+02], [1.5047e+02, 2.1326e+02, 1.5857e+02, 2.2819e+02], [2.1438e+02, 1.9680e+02, 2.2627e+02, 2.1194e+02], [1.5042e+02, 2.2576e+02, 2.7536e+02, 2.7424e+02], [1.9586e+02, 2.0598e+02, 2.6463e+02, 2.8514e+02], [1.8147e+02, 2.0504e+02, 2.0199e+02, 2.4421e+02], [1.5039e+02, 2.1429e+02, 1.6195e+02, 2.3567e+02], [1.3733e+02, 2.1751e+02, 1.4331e+02, 2.2806e+02], [1.6395e+02, 2.1343e+02, 1.7102e+02, 2.2759e+02], [3.4431e+02, 2.0538e+02, 3.6409e+02, 2.3753e+02], [7.8160e+01, 2.1411e+02, 8.7881e+01, 2.2854e+02], [3.5844e+02, 2.0203e+02, 3.7546e+02, 2.2970e+02], [1.2746e+02, 2.1575e+02, 1.3565e+02, 2.3239e+02], [2.1206e+02, 1.9874e+02, 2.2869e+02, 2.2567e+02], [4.3505e+02, 2.8848e+02, 4.9010e+02, 3.7540e+02], [1.6241e+02, 2.1783e+02, 1.7228e+02, 2.4317e+02], [1.2555e+02, 2.1764e+02, 1.3199e+02, 2.2843e+02], [4.1499e+01, 2.1141e+02, 5.5898e+01, 2.3539e+02], [1.1285e+02, 2.0742e+02, 1.4543e+02, 2.5972e+02], [8.0152e+01, 1.7333e+02, 9.0892e+01, 1.9259e+02], [3.0948e+02, 2.0909e+02, 4.2511e+02, 2.5345e+02], [9.6563e+01, 2.1657e+02, 1.0712e+02, 2.3372e+02], [5.7967e+01, 2.0704e+02, 1.0758e+02, 3.1279e+02], [2.2488e+02, 1.9845e+02, 2.7140e+02, 2.9928e+02], [1.3866e+02, 2.1548e+02, 1.4698e+02, 2.3203e+02], [1.8180e+02, 1.8349e+02, 2.8806e+02, 3.3766e+02], [2.0762e+02, 2.0114e+02, 2.3317e+02, 2.5045e+02], [3.4167e+02, 2.0053e+02, 3.9220e+02, 3.2931e+02], [1.5281e+02, 2.0886e+02, 1.6065e+02, 2.2091e+02], [8.4341e+01, 2.1279e+02, 9.2747e+01, 2.2836e+02], [7.7487e+01, 1.5585e+02, 9.2186e+01, 1.8693e+02], [9.2294e+01, 2.1602e+02, 1.0089e+02, 2.2844e+02], [1.6553e+02, 2.1531e+02, 1.7464e+02, 2.3194e+02], [2.2985e+01, 2.0752e+02, 7.4032e+01, 3.2143e+02], [3.0615e+02, 1.8120e+01, 3.5680e+02, 6.7932e+01], [1.6703e+02, 2.0833e+02, 1.7473e+02, 2.2049e+02], [1.8375e+02, 2.0363e+02, 1.9445e+02, 2.1595e+02], [1.9073e+02, 2.0051e+02, 2.0614e+02, 2.1566e+02], [9.6328e+01, 2.1541e+02, 1.0373e+02, 2.2783e+02], [3.3845e+02, 2.1063e+02, 3.4878e+02, 2.2635e+02], [2.2792e+02, 2.0006e+02, 2.3859e+02, 2.1143e+02], [1.8884e+02, 1.9485e+02, 2.3018e+02, 2.5356e+02], [1.1430e+02, 2.1921e+02, 1.2471e+02, 2.4620e+02], [1.4178e+02, 2.1174e+02, 1.4770e+02, 2.2115e+02], [1.4568e+02, 2.1502e+02, 1.5330e+02, 2.2734e+02], [2.4827e+02, 1.8518e+02, 3.5682e+02, 2.2428e+02], [2.0223e+02, 1.9769e+02, 2.2250e+02, 2.1517e+02], [3.3993e+02, 1.7070e+02, 3.8588e+02, 2.6537e+02], [1.8883e+02, 1.9777e+02, 2.0004e+02, 2.1264e+02], [1.4006e+01, 1.8438e+02, 2.8332e+01, 2.0462e+02], [3.3563e+02, 2.1111e+02, 3.5040e+02, 2.3479e+02], [2.3329e+02, 2.0625e+02, 2.7655e+02, 2.3498e+02], [5.4572e+01, 2.1008e+02, 7.4398e+01, 2.3224e+02], [2.1197e+02, 1.9120e+02, 2.2927e+02, 2.0688e+02], [3.5489e+02, 1.9519e+02, 4.1565e+02, 2.9707e+02], [1.3652e+02, 2.0802e+02, 1.7046e+02, 3.0209e+02], [3.4080e+02, 2.0861e+02, 3.5142e+02, 2.2133e+02], [1.3292e+02, 2.1576e+02, 1.4012e+02, 2.2785e+02], [2.8274e+02, 2.8520e+02, 3.4893e+02, 3.7641e+02], [3.6473e+02, 1.8967e+02, 3.9806e+02, 2.2421e+02], [2.8861e+02, 2.6854e+02, 3.7318e+02, 3.4846e+02], [2.8996e+02, 3.1042e+02, 3.7356e+02, 3.8874e+02], [1.6363e+01, 2.1840e+02, 5.2250e+01, 2.6814e+02], [2.2071e+02, 2.1286e+02, 2.5107e+02, 2.5021e+02], [1.3405e+02, 1.4743e+02, 1.5329e+02, 1.7750e+02], [9.2970e+01, 2.0701e+02, 1.3279e+02, 2.5923e+02], [2.2400e+02, 2.0320e+02, 2.4073e+02, 2.2553e+02], [4.0754e+02, 2.8402e+02, 4.6464e+02, 3.7728e+02], [2.2244e+02, 2.0799e+02, 2.9705e+02, 2.9214e+02], [2.4218e+02, 2.1918e+02, 2.7036e+02, 2.7253e+02], [2.8761e+02, 2.2680e+02, 4.2974e+02, 2.8141e+02], [3.8448e+02, 2.0716e+02, 4.8258e+02, 2.5537e+02], [1.9475e+02, 1.8607e+02, 2.1995e+02, 2.0691e+02], [1.1393e+01, 1.7661e+02, 2.5979e+01, 2.0076e+02], [1.5708e+02, 2.1535e+02, 1.6607e+02, 2.2792e+02], [1.7086e+02, 1.5667e+02, 1.8398e+02, 1.7901e+02], [2.9289e+01, 2.1676e+02, 4.0368e+01, 2.4376e+02], [3.0202e+02, 2.2264e+02, 3.4987e+02, 2.4309e+02], [9.5497e+01, 2.3061e+02, 2.2246e+02, 2.7316e+02], [1.0788e+02, 2.0508e+02, 1.4094e+02, 3.1011e+02], [2.0186e-02, 2.2156e+02, 4.2131e+01, 2.6417e+02], [9.7750e+01, 2.0579e+02, 2.2026e+02, 2.4983e+02], [2.2922e+02, 1.9557e+02, 2.4127e+02, 2.0628e+02], [1.2902e+02, 2.1268e+02, 1.3497e+02, 2.2192e+02], [1.7705e+02, 2.1076e+02, 1.9573e+02, 2.2958e+02], [1.6944e+02, 2.1443e+02, 1.7913e+02, 2.2722e+02], [3.0167e+02, 5.8253e+00, 3.6347e+02, 7.4312e+01], [2.5227e+01, 2.1899e+02, 4.2790e+01, 2.5848e+02], [1.2902e+02, 8.5037e+01, 1.4418e+02, 1.1917e+02], [4.0324e+02, 2.3191e+02, 4.9387e+02, 2.8018e+02], [9.5982e+01, 1.7625e+02, 1.0427e+02, 1.9008e+02], [1.1440e+02, 2.1671e+02, 1.2393e+02, 2.3311e+02], [2.7586e+02, 2.0602e+02, 2.9494e+02, 2.2460e+02], [2.4362e+02, 2.1098e+02, 3.0343e+02, 2.6181e+02], [2.5932e+02, 2.2132e+02, 2.9532e+02, 2.4362e+02], [2.6578e+02, 2.0738e+02, 2.8359e+02, 2.2531e+02], [5.3024e+01, 2.0659e+02, 6.7485e+01, 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5.7217e+01], [4.1634e+02, 3.2460e+02, 4.9210e+02, 3.8555e+02], [7.3738e+01, 1.7783e+02, 8.4503e+01, 1.9035e+02], [1.3443e+02, 1.3395e+02, 1.8067e+02, 1.7858e+02], [1.4563e+01, 2.2917e+02, 2.6468e+01, 2.5742e+02], [5.6669e+01, 2.2636e+02, 1.9480e+02, 4.2692e+02], [3.6371e+02, 1.9748e+02, 3.9239e+02, 2.4168e+02], [1.5971e+02, 1.8670e+02, 2.0270e+02, 2.3739e+02], [7.7828e+01, 2.2510e+02, 8.9454e+01, 2.4263e+02], [2.2024e+02, 2.0717e+02, 2.5804e+02, 2.3412e+02], [1.0226e+02, 2.1950e+02, 2.1449e+02, 3.2868e+02], [1.1308e+02, 1.8250e+02, 1.1954e+02, 1.9664e+02], [1.7721e+02, 2.0155e+02, 1.8551e+02, 2.1441e+02], [1.7191e+02, 2.0483e+02, 1.8056e+02, 2.1556e+02], [3.9647e+02, 1.8331e+02, 4.1821e+02, 2.2845e+02], [7.7429e+01, 2.1386e+02, 1.1451e+02, 2.6637e+02], [1.4211e+02, 1.8934e+02, 2.3429e+02, 2.9392e+02], [3.4784e+02, 1.9834e+02, 3.6106e+02, 2.1497e+02], [2.5161e+02, 2.0948e+02, 2.6821e+02, 2.2636e+02], [3.1872e+02, 2.0555e+02, 3.3413e+02, 2.2391e+02], [2.0045e+01, 2.3110e+02, 1.3883e+02, 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2.4442e+02], [3.1505e+02, 2.1335e+02, 3.4563e+02, 2.2909e+02]], grad_fn=<StackBackward0>), tensor([0.9727, 0.9540, 0.8788, 0.8229, 0.8031, 0.7723, 0.5995, 0.5492, 0.5456, 0.5138, 0.3374, 0.2810, 0.1931, 0.1798, 0.1736, 0.1671, 0.1607, 0.1527, 0.1512, 0.1445, 0.1230, 0.1188, 0.1182, 0.1161, 0.1160, 0.1159, 0.1152, 0.1151, 0.1129, 0.1125, 0.1120, 0.1094, 0.1079, 0.1076, 0.1070, 0.1059, 0.1059, 0.1057, 0.1047, 0.1025, 0.1004, 0.0993, 0.0989, 0.0981, 0.0975, 0.0968, 0.0963, 0.0961, 0.0941, 0.0940, 0.0936, 0.0934, 0.0930, 0.0925, 0.0918, 0.0908, 0.0902, 0.0902, 0.0901, 0.0899, 0.0893, 0.0889, 0.0874, 0.0872, 0.0866, 0.0861, 0.0860, 0.0858, 0.0858, 0.0851, 0.0849, 0.0845, 0.0839, 0.0836, 0.0833, 0.0833, 0.0832, 0.0832, 0.0829, 0.0821, 0.0812, 0.0810, 0.0808, 0.0807, 0.0805, 0.0802, 0.0799, 0.0799, 0.0799, 0.0798, 0.0796, 0.0789, 0.0787, 0.0785, 0.0785, 0.0785, 0.0781, 0.0780, 0.0779, 0.0778, 0.0775, 0.0773, 0.0770, 0.0768, 0.0767, 0.0764, 0.0764, 0.0760, 0.0756, 0.0756, 0.0755, 0.0755, 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1, 1, 1, 3, 1, 1, 1, 10, 1, 3, 1, 1, 1, 1, 1, 1, 2, 1, 2, 2, 3, 3, 10, 1, 1, 2, 3, 3, 3, 3, 1, 10, 1, 10, 1, 3, 3, 1, 3, 3, 1, 1, 1, 1, 10, 1, 10, 3, 10, 1, 1, 3, 3, 1, 1, 1, 1, 1, 3, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 10, 10, 1, 1, 1, 2, 10, 10, 3, 1, 1, 1, 1, 3, 1, 10, 1, 1, 1, 1, 1, 1, 1, 1, 3, 3, 1, 1, 3, 10, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 10, 1, 1, 1, 1, 3])) ### Actual behavior boxes = array([[ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0. , 0. , 28.269907 , 35.20406 ], [ 0. , 0. , 28.269907 , 35.20406 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0. , 0. , 28.269907 , 35.20406 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0. , 0. , 28.269907 , 35.20406 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0. , 0. , 28.269907 , 35.20406 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 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, 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0. , 0. , 28.269907 , 35.20406 ], [ 0. , 0. , 28.269907 , 35.20406 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0. , 0. , 28.269907 , 35.20406 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0. , 0. , 28.269907 , 35.20406 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 19.342596 , 20.993477 ], [ 0.8428591, 0. , 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0.00077264, 0.0007638 , 0.00074951, 0.00074839, 0.00074206, 0.00073168, 0.00071763, 0.0007144 , 0.00070207, 0.00069418, 0.00065389, 0.00064997, 0.00064484, 0.00063796, 0.00062919, 0.00062576, 0.00062513, 0.00062389, 0.00062284, 0.00061086, 0.00060135, 0.00060078, 0.0005794 , 0.00057931, 0.00057921, 0.00057331, 0.00056992, 0.00056539, 0.00056354, 0.00056155, 0.00055505, 0.00054732, 0.00054591, 0.00054574, 0.00054472, 0.00053777, 0.0005349 , 0.00053452, 0.00053267, 0.00053003, 0.00052801, 0.00052588, 0.00051947, 0.00051378, 0.00050899, 0.00050629, 0.00050585, 0.00048741, 0.00048676, 0.00048307, 0.00048295, 0.00047997, 0.00047423, 0.00047306, 0.00047231, 0.00047014, 0.00046257, 0.00045252, 0.00044672, 0.00044112, 0.00044042, 0.00043576, 0.00043001, 0.00039631, 0.00038084, 0.00038023, 0.00037982, 0.0003795 , 0.00037916, 0.00037916, 0.0003784 , 0.00037825, 0.00037816, 0.00037725], dtype=float32), <tvm.nd.NDArray shape=(120,), cuda(0)> classes: array([ 1, 84, 62, 1, 62, 84, 3, 85, 47, 3, 77, 72, 44, 10, 75, 85, 72, 51, 47, 67, 10, 44, 49, 46, 73, 31, 74, 46, 50, 64, 8, 86, 31, 32, 67, 81, 28, 15, 48, 33, 37, 16, 64, 27, 78, 6, 79, 9, 27, 86, 15, 28, 76, 8, 90, 57, 63, 60, 70, 55, 13, 2, 52, 38, 61, 16, 59, 43, 87, 41, 6, 43, 88, 54, 2, 53, 39, 13, 17, 58, 40, 18, 4, 14, 35, 41, 34, 35, 20, 42, 82, 7, 40, 42, 56, 5, 80, 37, 65, 36, 4, 36, 24, 21, 89, 22, 19, 25, 11, 23, 83, 30, 29, 68, 66, 71, 45, 12, 26, 69], dtype=int64)] ### Environment tvm 0.9.dev0 Windows torch 1.10.2 torchvision 0.11.3 Any environment details, such as: Operating System, TVM version, etc ### Steps to reproduce Take the code from https://tvm.apache.org/docs/how_to/deploy_models/deploy_object_detection_pytorch.html. Change the torch_model to torchvision.models.detection.ssd300_vgg16 Preferably a minimal script to cause the issue to occur. ### Triage Please refer to the list of label tags [here](https://github.com/apache/tvm/wiki/Issue-Triage-Labels) to find the relevant tags and add them below in a bullet format (example below). * needs-triage -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
