apache / mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
https://mxnet.apache.org
Apache License 2.0
20.75k stars 6.8k forks source link

ValidationError: Graph must be in single static assignment (SSA) form, however 'identity0' has been used as output names multiple times. #20754

Open gospodima opened 2 years ago

gospodima commented 2 years ago

Description

I am having the same error as discussed in https://github.com/apache/incubator-mxnet/discussions/20205

Originally posted by **aslam-ep** April 23, 2021 When converting MXNet i3d_resnet50_v1_custom model to onxx I got an error like this: `ValidationError: Graph must be in single static assignment (SSA) form, however 'layer1_0_relu0_fwd' has been used as output names multiple times.` onxx version I used: 1.2.1

Unfortunately, the solution suggested there is not working for me because I also need onnx2mx support in my project. Is it possible to solve this bug while having both functionalities: mx2onnx as well as onnx2mx?

Error Message

File "/usr/local/lib/python3.7/dist-packages/mxnet/contrib/onnx/mx2onnx/export_model.py", line 83, in export_model
    verbose=verbose, opset_version=opset_version)
  File "/usr/local/lib/python3.7/dist-packages/mxnet/contrib/onnx/mx2onnx/export_onnx.py", line 315, in create_onnx_graph_proto
    checker.check_graph(graph)
  File "/usr/local/lib/python3.7/dist-packages/onnx/checker.py", line 58, in checker
    proto.SerializeToString(), ctx)
onnx.onnx_cpp2py_export.checker.ValidationError: Graph must be in single static assignment (SSA) form, however 'identity0' has been used as output names multiple times.

Environment

I am using mxnet 1.7 and onnx 1.2.1 (with python 3.7). To solve this issue I tried to upgrade to mxnet-1.8.0 and 1.8.0.post0 and upgrade to onnx 1.7. and 1.8, but I am still receiving this error.

diagnose.py:

Environment Information ``` ----------Python Info---------- Version : 3.7.3 Compiler : GCC 8.3.0 Build : ('default', 'Jan 22 2021 20:04:44') Arch : ('64bit', 'ELF') ------------Pip Info----------- Version : 21.3.1 Directory : /usr/local/lib/python3.7/dist-packages/pip ----------MXNet Info----------- Version : 1.8.0 Directory : /usr/local/lib/python3.7/dist-packages/mxnet Commit hash file "/usr/local/lib/python3.7/dist-packages/mxnet/COMMIT_HASH" not found. Not installed from pre-built package or built from source. Library : ['/usr/local/lib/python3.7/dist-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-5.15.2-2-MANJARO-x86_64-with-debian-10.6 system : Linux node : f5ef2cd48370 release : 5.15.2-2-MANJARO version : #1 SMP PREEMPT Sat Nov 13 19:25:38 UTC 2021 ----------Hardware Info---------- machine : x86_64 processor : 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: 158 Model name: Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz Stepping: 10 CPU MHz: 2200.000 CPU max MHz: 4100.0000 CPU min MHz: 800.0000 BogoMIPS: 4401.32 Virtualization: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 9216K NUMA node0 CPU(s): 0-11 Flags: 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 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 avx2 smep bmi2 erms invpcid 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: 0.0098 sec, LOAD: 0.5444 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0324 sec, LOAD: 0.4795 sec. Error open Gluon Tutorial(cn): https://zh.gluon.ai, , DNS finished in 0.09302854537963867 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0139 sec, LOAD: 1.1905 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0080 sec, LOAD: 0.5496 sec. Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.019002914428710938 sec. ----------Environment---------- ```
github-actions[bot] commented 2 years ago

Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI, and we are glad that you are contributing to it by opening this issue. Please make sure to include all the relevant context, and one of the @apache/mxnet-committers will be here shortly. If you are interested in contributing to our project, let us know! Also, be sure to check out our guide on contributing to MXNet and our development guides wiki.