xenotecc opened a new issue #17135: Exporting to ONNX format - Error in documentation example URL: https://github.com/apache/incubator-mxnet/issues/17135 ## Description When trying to reproduce the steps in the documentation: Exporting to ONNX format https://mxnet.apache.org/api/python/docs/tutorials/deploy/export/onnx.html The content of 5th input cell ``` # Invoke export model API. It returns path of the converted onnx model converted_model_path = onnx_mxnet.export_model(sym, params, [input_shape], np.float32, onnx_file) ``` throws an error. ### Error Message ``` ValidationError: Unrecognized attribute: spatial for operator BatchNormalization ==> Context: Bad node spec: input: "data" input: "bn_data_gamma" input: "bn_data_beta" input: "bn_data_moving_mean" input: "bn_data_moving_var" output: "bn_data" name: "bn_data" op_type: "BatchNormalization" attribute { name: "epsilon" f: 2e-05 type: FLOAT } attribute { name: "momentum" f: 0.9 type: FLOAT } attribute { name: "spatial" i: 0 type: INT } ``` ## To Reproduce The entire error can be reproduced by running such a single cell: ``` import mxnet as mx import numpy as np from mxnet.contrib import onnx as onnx_mxnet import logging import os logging.basicConfig(level=logging.INFO) os.environ["DMLC_LOG_STACK_TRACE_DEPTH"] = "10" path='http://data.mxnet.io/models/imagenet/' [mx.test_utils.download(path+'resnet/18-layers/resnet-18-0000.params'), mx.test_utils.download(path+'resnet/18-layers/resnet-18-symbol.json'), mx.test_utils.download(path+'synset.txt')] sym = './resnet-18-symbol.json' params = './resnet-18-0000.params' # Standard Imagenet input - 3 channels, 224*224 input_shape = (1,3,224,224) # Path of the output file onnx_file = './mxnet_exported_resnet50.onnx' converted_model_path = onnx_mxnet.export_model(sym, params, [input_shape], np.float32, onnx_file) ``` ### Steps to reproduce 1. Create virtual environment with mxnet (current version = 1.5.1) 2. Run the above script from the section to **To Reproduce** ## What have you tried to solve it? 1. Nothing. It's an example from the documentation that I'd like to point out is not working. ## Environment I'm pasting the information below: ``` ----------Python Info---------- Version : 3.6.8 Compiler : GCC 7.3.0 Build : ('default', 'Dec 30 2018 01:22:34') Arch : ('64bit', '') ------------Pip Info----------- Version : 19.3.1 Directory : /home/<username>/anaconda3/envs/mx/lib/python3.6/site-packages/pip ----------MXNet Info----------- Version : 1.5.1 Directory : /home/<username>/anaconda3/envs/mx/lib/python3.6/site-packages/mxnet Num GPUs : 0 Commit Hash : c9818480680f84daa6e281a974ab263691302ba8 ----------System Info---------- Platform : Linux-5.0.0-37-generic-x86_64-with-debian-buster-sid system : Linux node : <my_pc> release : 5.0.0-37-generic version : #40~18.04.1-Ubuntu SMP Thu Nov 14 12:06:39 UTC 2019 ----------Hardware Info---------- machine : x86_64 processor : x86_64 Architektura: x86_64 Tryb(y) pracy CPU: 32-bit, 64-bit Kolejność bajtów: Little Endian CPU: 8 Lista aktywnych CPU: 0-7 Wątków na rdzeń: 2 Rdzeni na gniazdo: 4 Gniazd: 1 Węzłów NUMA: 1 ID producenta: GenuineIntel Rodzina CPU: 6 Model: 94 Nazwa modelu: Intel(R) Core(TM) i7-6700HQ CPU @ 2.60GHz Wersja: 3 CPU MHz: 3288.055 CPU max MHz: 3500,0000 CPU min MHz: 800,0000 BogoMIPS: 5184.00 Wirtualizacja: VT-x Cache L1d: 32K Cache L1i: 32K Cache L2: 256K Cache L3: 6144K Procesory węzła NUMA 0: 0-7 Flagi: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 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 pti ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp md_clear flush_l1d ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0262 sec, LOAD: 0.6559 sec. Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0247 sec, LOAD: 0.9971 sec. Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.3047 sec, LOAD: 0.8191 sec. Timing for D2L: http://d2l.ai, DNS: 0.1221 sec, LOAD: 0.2016 sec. Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0354 sec, LOAD: 0.5605 sec. Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.2038 sec, LOAD: 0.8853 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0263 sec, LOAD: 0.8279 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0229 sec, LOAD: 0.2779 sec. ``` Cheers
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