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gmalivenko / pytorch2keras

PyTorch to Keras model convertor
https://pytorch2keras.readthedocs.io/en/latest/
MIT License
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HDF5 library version mismatched error #108

Closed aviaisr closed 4 years ago

aviaisr commented 4 years ago

Hi,

I'm trying to convert a torch model to keras and I get the following error log: To Reproduce

from pytorch2keras import pytorch_to_keras input_var = torch.randn(1, 3, 224, 224, device='cpu') k_model = pytorch_to_keras(net, input_var, [(3, 224, 224,)], verbose=True)

Logs 2020-04-26 17:15:40.377777: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll Warning! HDF5 library version mismatched error The HDF5 header files used to compile this application do not match the version used by the HDF5 library to which this application is linked. Data corruption or segmentation faults may occur if the application continues. This can happen when an application was compiled by one version of HDF5 but linked with a different version of static or shared HDF5 library. You should recompile the application or check your shared library related settings such as 'LD_LIBRARY_PATH'. You can, at your own risk, disable this warning by setting the environment variable 'HDF5_DISABLE_VERSION_CHECK' to a value of '1'. Setting it to 2 or higher will suppress the warning messages totally. Headers are 1.10.2, library is 1.10.5 SUMMARY OF THE HDF5 CONFIGURATION

General Information:

               HDF5 Version: 1.10.5
              Configured on: 2019-03-04
              Configured by: Visual Studio 15 2017 Win64
                Host system: Windows-10.0.17763
          Uname information: Windows
                   Byte sex: little-endian
         Installation point: C:/Program Files/HDF5

Compiling Options:

                 Build Mode: 
          Debugging Symbols: 
                    Asserts: 
                  Profiling: 
         Optimization Level:

Linking Options:

                  Libraries:

Statically Linked Executables: OFF LDFLAGS: /machine:x64 H5_LDFLAGS: AM_LDFLAGS: Extra libraries: Archiver: Ranlib:

Languages:

                          C: yes
                 C Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe 19.16.27027.1
                   CPPFLAGS: 
                H5_CPPFLAGS: 
                AM_CPPFLAGS: 
                     CFLAGS:  /DWIN32 /D_WINDOWS /W3
                  H5_CFLAGS: 
                  AM_CFLAGS: 
           Shared C Library: YES
           Static C Library: YES

                    Fortran: OFF
           Fortran Compiler:  
              Fortran Flags: 
           H5 Fortran Flags: 
           AM Fortran Flags: 
     Shared Fortran Library: YES
     Static Fortran Library: YES

                        C++: ON
               C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe 19.16.27027.1
                  C++ Flags: /DWIN32 /D_WINDOWS /W3 /GR /EHsc
               H5 C++ Flags: 
               AM C++ Flags: 
         Shared C++ Library: YES
         Static C++ Library: YES

                        JAVA: OFF
               JAVA Compiler:

Features:

               Parallel HDF5: OFF

Parallel Filtered Dataset Writes: Large Parallel I/O: High-level library: ON Threadsafety: OFF Default API mapping: v110 With deprecated public symbols: ON I/O filters (external): DEFLATE DECODE ENCODE MPE: Direct VFD: dmalloc: Packages w/ extra debug output: API Tracing: OFF Using memory checker: OFF Memory allocation sanity checks: OFF Function Stack Tracing: OFF Strict File Format Checks: OFF Optimization Instrumentation: Bye...

Process finished with exit code -1073740791 (0xC0000409)

gmalivenko commented 4 years ago

Hello @aviaisr. It looks like hdf5/tensorflow library problem, not pytorch2keras. Try to reinstall tensorflow / pick compatible library versions.