Add ONNX Runtime to ML Images #12
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lreiher
commented
Nov 25, 2024
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Regenerate version tables including new column for ONNXRT.
lreiher
commented
Nov 25, 2024
| # install ONNX Runtime | ||
| ARG ONNX_RUNTIME_VERSION | ||
| RUN if [[ -n $ONNX_RUNTIME_VERSION ]]; then \ | ||
| pip3 install onnxruntime-gpu==${ONNX_RUNTIME_VERSION}; \ |
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Test ONNX RT, see #11 (comment).
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This sample script could be used for testing.
It currently fails with an error that libcudnn.so.9 is not found. According to the docs, the newest ONNX-RT version requires cuDNN 9.x. We are still on cuDNN 8.x though.
Downgrading to onnxruntime-gpu~=1.8.0 (for cuDNN 8.x), however, throws a similar error for libcublas, where we have v12 installed instead of v11.
2024-11-25 20:33:08.247359117 [E:onnxruntime:Default, provider_bridge_ort.cc:1745 TryGetProviderInfo_CUDA] /onnxruntime_src/onnxruntime/core/session/provider_bridge_ort.cc:1426 onnxruntime::Provider& onnxruntime::ProviderLibrary::Get() [ONNXRuntimeError] : 1 : FAIL : Failed to load library libonnxruntime_providers_cuda.so with error: libcublasLt.so.11: cannot open shared object file: No such file or directory
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Installs ONNX Runtime with CUDA/TensorRT execution providers (
onnxruntime-gpu; see here) to-mlimages.Closes #11.