Jack6680 opened a new issue #20313: URL: https://github.com/apache/incubator-mxnet/issues/20313
## Description I converted resnest50 model according to [19808](https://github.com/apache/incubator-mxnet/issues/19808). Now I try to compare results given by onnx model with onnxruntime. The difference between them is quite large. The output of numpy.testing.assert_allclose is ``` Mismatched elements: 1000 / 1000 (100%) Max absolute difference: 0.32469702 Max relative difference: 27.369648 ``` ### Error Message - ## To Reproduce ### Steps to reproduce model conversion ``` from gluoncv import model_zoo import numpy as np import mxnet as mx model_name = 'resnest50' resnet50 = model_zoo.get_model(model_name, pretrained=True) print(model_name+' downloaded') resnet50.hybridize() print(model_name+' hybridized') input_shape=(1,3,224,224) data_array = np.random.uniform(0, 255, size=input_shape).astype("float32") mx_data = mx.nd.array(data_array) resnet50(mx_data) resnet50.export(model_name) print(model_name+' exported') from mxnet.contrib import onnx as onnx_mxnet onnx_file='./tp.onnx' params = './'+model_name+'-0000.params' sym='./'+model_name+'-symbol.json' onnx_mxnet.export_model(sym, params, [input_shape], np.float32, onnx_file) print('onnx export done') ``` Model testing import onnxruntime as rt import numpy from onnxruntime.datasets import get_example sess = rt.InferenceSession('tp.onnx') input_name = sess.get_inputs()[0].name data_array = np.random.uniform(0, 1, size=input_shape).astype("float32") mx_data = mx.nd.array(data_array) onnx_data = mx_data.asnumpy() a = sess.run(None, {input_name: onnx_data})[0][0] b = resnet50(mx_data)[0].asnumpy() print(numpy.testing.assert_allclose(b,a)) ## Environment <details> <summary>Environment Information</summary> ----------Python Info---------- Version : 3.7.10 Compiler : GCC 9.3.0 Build : ('default', 'Feb 20 2021 21:15:28') Arch : ('64bit', '') ------------Pip Info----------- Version : 20.0.2 Directory : /usr/lib/python3/dist-packages/pip ----------MXNet Info----------- Version : 1.7.0 Directory : /home/local/.local/lib/python3.7/site-packages/mxnet Commit Hash : 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a Library : ['/home/local/.local/lib/python3.7/site-packages/mxnet/libmxnet.so'] Build features: ✔ CUDA ✔ CUDNN ✔ NCCL ✔ CUDA_RTC ✖ TENSORRT ✔ CPU_SSE ✔ CPU_SSE2 ✔ CPU_SSE3 ✔ CPU_SSE4_1 ✔ CPU_SSE4_2 ✖ CPU_SSE4A ✔ CPU_AVX ✖ CPU_AVX2 ✔ OPENMP ✖ SSE ✔ F16C ✖ JEMALLOC ✔ BLAS_OPEN ✖ BLAS_ATLAS ✖ BLAS_MKL ✖ BLAS_APPLE ✔ LAPACK ✔ MKLDNN ✔ OPENCV ✖ CAFFE ✖ PROFILER ✔ DIST_KVSTORE ✖ CXX14 ✖ INT64_TENSOR_SIZE ✔ SIGNAL_HANDLER ✖ DEBUG ✖ TVM_OP ----------System Info---------- Platform : Linux-5.8.0-53-generic-x86_64-with-Ubuntu-20.04-focal system : Linux node : tva-pc-03 release : 5.8.0-53-generic version : #60~20.04.1-Ubuntu SMP Thu May 6 09:52:46 UTC 2021 ----------Hardware Info---------- machine : x86_64 processor : x86_64 Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian Address sizes: 39 bits physical, 48 bits virtual CPU(s): 12 On-line CPU(s) list: 0-11 Thread(s) per core: 2 Core(s) per socket: 6 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 165 Model name: Intel(R) Core(TM) i5-10600K CPU @ 4.10GHz Stepping: 5 CPU MHz: 4399.823 CPU max MHz: 4800,0000 CPU min MHz: 800,0000 BogoMIPS: 8199.79 Virtualization: VT-x L1d cache: 192 KiB L1i cache: 192 KiB L2 cache: 1,5 MiB L3 cache: 12 MiB NUMA node0 CPU(s): 0-11 Vulnerability Itlb multihit: KVM: Mitigation: VMX disabled Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Spec store bypass: Vulnerable Vulnerability Spectre v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers Vulnerability Spectre v2: Vulnerable, IBPB: disabled, STIBP: disabled Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse s se2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtop ology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma c x16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_ lm abm 3dnowprefetch cpuid_fault epb invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx rdseed adx smap c lflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp pku ospke md_clear flush_l1d arch_capabilities ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0006 sec, LOAD: 0.4579 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0247 sec, LOAD: 0.1638 sec. Error open Gluon Tutorial(cn): https://zh.gluon.ai, <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1091)>, DNS finished in 0.036272525787353516 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.1557 sec, LOAD: 1.3185 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.1053 sec, LOAD: 0.6913 sec. Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.00019788742065429688 sec. ----------Environment---------- KMP_DUPLICATE_LIB_OK="True" KMP_INIT_AT_FORK="FALSE" </details> -- 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. 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