-
### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
…
-
### Describe the issue
When running inference on DirectML EP I get the following error:
```
onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION …
-
### OS Platform and Distribution
Ubuntu 22.04, Android 14
### Compiler version
Build failure with CLANG 9.0.0
### Programming Language and version
C++, Java, Python 3.10
### Installed using virt…
-
**Description**
The `nv_inference_pending_request_count` metric exported by tritonserver is incorrect in ensemble_stream mode.
The ensemble_stream pipeline contains 3 steps: preprocess, fastertra…
-
### Describe the issue
I tried to use CPUExecutionProvider and CUDAExecutionProvider to inference the same single conv node, and turns out the result does not match after 4 decimals. I'm wondering …
-
### What happened?
Sample failure:
```
$ pytest apache_beam/ml/inference/tensorflow_inference_test.py::TFRunInferenceTest::test_predict_numpy_with_batch_size
====================================…
-
### Describe the issue
I do a qat quantization on a cnn model, when a export it to onnx model, and got a slower inference than torchscript qat model.
the result is
torchscript: 4.798517942428589 …
-
## Add full support to ONNX for all the operators :zap:
### :package: Motivation [shipping]
Import/export the kornia operators for production environments and compile down to the main hardware …
-
Thanks for your help, I have tested this tool in NVIDIA agx platform, we get a nearly 3X speed up compared using mmdetection directly.That's an amazing result!
And I have another question about batc…
-
I'm looking into working on a GL renderer for the parquets.
I see that the Inria repository that has now been released wrote the rasterizer completely in CUDA.
Do you have any plans on working on di…