samhodge opened a new issue #9813: Unable to save gluon model to symbolic network : neural style URL: https://github.com/apache/incubator-mxnet/issues/9813 ## Description see: https://github.com/zhanghang1989/MXNet-Gluon-Style-Transfer/issues/2 within https://github.com/apache/incubator-mxnet/tree/master/example/gluon/style_transfer There are a number of Hybrid* with only forward and not hybrid forward defined, so the model cannot be serialised to a Symbol network, as a described in: https://mxnet.incubator.apache.org/tutorials/gluon/hybrid.html ## Environment info (Required) ----------Python Info---------- ('Version :', '2.7.14') ('Compiler :', 'GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)') ('Build :', ('default', 'Dec 7 2017 11:07:58')) ('Arch :', ('64bit', '')) ------------Pip Info----------- ('Version :', '9.0.1') ('Directory :', '/Users/sam/anaconda2/lib/python2.7/site-packages/pip') ----------MXNet Info----------- /Users/sam/anaconda2/lib/python2.7/site-packages/urllib3/contrib/pyopenssl.py:46: DeprecationWarning: OpenSSL.rand is deprecated - you should use os.urandom instead import OpenSSL.SSL ('Version :', '1.0.0') ('Directory :', '/Users/sam/anaconda2/lib/python2.7/site-packages/mxnet') ('Commit Hash :', '9ef196909ec7bf9cdda66d5b97c92793109798e1') ----------System Info---------- ('Platform :', 'Darwin-16.7.0-x86_64-i386-64bit') ('system :', 'Darwin') ('node :', 'kaos.fritz.box') ('release :', '16.7.0') ('version :', 'Darwin Kernel Version 16.7.0: Thu Jun 15 17:36:27 PDT 2017; root:xnu-3789.70.16~2/RELEASE_X86_64') ----------Hardware Info---------- ('machine :', 'x86_64') ('processor :', 'i386') machdep.cpu.extfeatures: SYSCALL XD 1GBPAGE EM64T LAHF LZCNT PREFETCHW RDTSCP TSCI machdep.cpu.leaf7_features: SMEP ERMS RDWRFSGS TSC_THREAD_OFFSET BMI1 HLE AVX2 BMI2 INVPCID RTM SMAP RDSEED ADX IPT SGX FPU_CSDS MPX CLFSOPT machdep.cpu.features: FPU VME DE PSE TSC MSR PAE MCE CX8 APIC SEP MTRR PGE MCA CMOV PAT PSE36 CLFSH DS ACPI MMX FXSR SSE SSE2 SS HTT TM PBE SSE3 PCLMULQDQ DTES64 MON DSCPL VMX SMX EST TM2 SSSE3 FMA CX16 TPR PDCM SSE4.1 SSE4.2 x2APIC MOVBE POPCNT AES PCID XSAVE OSXSAVE SEGLIM64 TSCTMR AVX1.0 RDRAND F16C machdep.cpu.brand_string: Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.2019 sec, LOAD: 1.9668 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0498 sec, LOAD: 0.4649 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0760 sec, LOAD: 2.2928 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 1.2123 sec, LOAD: 1.5902 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.2438 sec, LOAD: 0.9825 sec. Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.3199 sec, LOAD: 2.5883 sec. Package used (Python/R/Scala/Julia): Im using Python ## Error Message: File "/asset/common/software/thirdparty/mxnet/1.0.0-build1/python2.7/mxnet/gluon/block.py", line 360, in __call__ return self.forward(*args) File "/home/samh/dev/MXNet-Gluon-Style-Transfer/net.py", line 215, in forward return self.model(input) File "/asset/common/software/thirdparty/mxnet/1.0.0-build1/python2.7/mxnet/gluon/block.py", line 360, in __call__ return self.forward(*args) File "/asset/common/software/thirdparty/mxnet/1.0.0-build1/python2.7/mxnet/gluon/nn/basic_layers.py", line 53, in forward x = block(x) File "/asset/common/software/thirdparty/mxnet/1.0.0-build1/python2.7/mxnet/gluon/block.py", line 360, in __call__ return self.forward(*args) File "/asset/common/software/thirdparty/mxnet/1.0.0-build1/python2.7/mxnet/gluon/nn/basic_layers.py", line 53, in forward x = block(x) File "/asset/common/software/thirdparty/mxnet/1.0.0-build1/python2.7/mxnet/gluon/block.py", line 360, in __call__ return self.forward(*args) File "/home/samh/dev/MXNet-Gluon-Style-Transfer/net.py", line 123, in forward x = self.pad(x) File "/asset/common/software/thirdparty/mxnet/1.0.0-build1/python2.7/mxnet/gluon/block.py", line 360, in __call__ return self.forward(*args) File "/home/samh/dev/MXNet-Gluon-Style-Transfer/net.py", line 44, in forward return F.pad(x, mode='reflect', pad_width=self.pad_width) File "<string>", line 112, in pad AssertionError: Argument data must have NDArray type, but got <Symbol data> ## Minimum reproducible example Adding the following lines ` x = mx.sym.var('data') y = style_model(x) y_json = y.tojson() y.save("MODEL.json") y.save_params("MODEL.params")` to the end of the evaluate function of https://github.com/apache/incubator-mxnet/blob/master/example/gluon/style_transfer/net.py and running python main.py eval with argument to a valid model, style image and output image ## Steps to reproduce As described edit the source file https://github.com/apache/incubator-mxnet/blob/master/example/gluon/style_transfer/net.py to allow for converting the Net model to a symbolic model , try to save the symbolic model, it fails because hybrid_forward functions are not implemented. ## What have you tried to solve it? I have tried replacing the forward functions with hybrid_forward functions but have been unable to convert the Inspiration(HybridBlock) This would provide an excellent example of training in Python and deploying in C++ if possible
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