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Here's the commit that reverted the upgrade: 0a106b0
Resolving a series of errors led to adding this to the ONNX GPU Dockerfile:
ENV LD_LIBRARY_PATH "${LD_LIBRARY_PATH}:/usr/lib/x86_64-linux-gnu/:/usr/local/cuda-10.1/targets/x86_64-linux/lib/" RUN ln -s /usr/lib/x86_64-linux-gnu/libcublas.so.10 /usr/lib/x86_64-linux-gnu/libcublas.so.10.0 && \ ln -s /usr/lib/x86_64-linux-gnu/libcublasLt.so.10 /usr/lib/x86_64-linux-gnu/libcublasLt.so.10.0 && \ ln -s /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcudart.so.10.1 /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcudart.so.10.0 && \ ln -s /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcufft.so.10 /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcufft.so.10.0 && \ ln -s /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcufftw.so.10 /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcufftw.so.10.0 && \ ln -s /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcuinj64.so.10.1 /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcuinj64.so.10.0 && \ ln -s /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcurand.so.10 /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcurand.so.10.0 && \ ln -s /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcusolver.so.10 /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcusolver.so.10.0 && \ ln -s /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcusolverMg.so.10 /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcusolverMg.so.10.0 && \ ln -s /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcusparse.so.10 /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcusparse.so.10.0
Which still resulted in this error:
/usr/local/lib/python3.6/dist-packages/onnxruntime/capi/_pybind_state.py:13: UserWarning: Cannot load onnxruntime.capi. Error: '/usr/lib/x86_64-linux-gnu/libcublas.so.10.0: version `libcublas.so.10.0' not found (required by /usr/local/lib/python3.6/dist-packages/onnxruntime/capi/onnxruntime_pybind11_state.cpython-36m-x86_64-linux-gnu.so)' warnings.warn("Cannot load onnxruntime.capi. Error: '{0}'".format(str(e))) Traceback (most recent call last): File "/src/cortex/onnx_serve/api.py", line 23, in <module> import onnxruntime as rt File "/usr/local/lib/python3.6/dist-packages/onnxruntime/__init__.py", line 12, in <module> from onnxruntime.capi._pybind_state import get_all_providers, get_available_providers, get_device, RunOptions, SessionOptions, set_default_logger_severity, NodeArg, ModelMetadata, GraphOptimizationLevel, ExecutionMode ImportError: cannot import name 'get_all_providers'
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Description
Here's the commit that reverted the upgrade: 0a106b0
Resolving a series of errors led to adding this to the ONNX GPU Dockerfile:
Which still resulted in this error:
The text was updated successfully, but these errors were encountered: