Comments (1)
Java and C# use the C API to initialize ORT and those are working fine in 1.17.1, so I think it's something to do with the exact C code you're using.
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Related Issues (20)
- Memory Leak in Onnx Session Release [Web]
- [Build] fail to build `rel-1.19.0` vs CUDA 12.6 on Windows HOT 11
- [DO NOT UNPIN] ORT 1.19 release candidates available for testing HOT 4
- [Mobile] Setting the namespace via the package attribute in the source AndroidManifest.xml is no longer supported
- FAIL : Failed to load library libonnxruntime_providers_cuda.so with error: libcublasLt.so.11: cannot open shared object file: No such file or directory HOT 6
- device_id is not work
- [Performance] Inference time discrepancy when using TorchScript vs ONNX exported model
- onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : CopyTensorAsync is not implemented HOT 4
- [Build] ONNXRuntime QNN execution provider dlls are not copied to target
- [Feature Request] Enable --use-extensions for pre built releases
- Inference session with 'optimized_model_filepath' expands HardSwish operator into atomic operators HOT 1
- [Performance] SetIntraOpNumThreads not take effect HOT 2
- [Performance] pytorch quantize_qat model export to onnx, insert a transpose layer befor and after the conv layers HOT 5
- [Web] model can run under python env both cpu and cuda, but cannot run under webGPU HOT 6
- 1.18.1 regression: not working with Emgu.CV <= 4.8.0 HOT 5
- [Build] Access Violation error on using 'new InferenceSession(filepath)' in 1.18.1
- Why is CoreMLExecution an Objective-C class HOT 1
- Question HOT 1
- [Bug]: Onnxruntime.CPU memoty leaks HOT 2
- onnxruntime-directml import interference with sklearn HOT 1
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