Related Issues (20)
- Does Triton Server support Dynamic Request Batching for models which has sparse tensors as inputs HOT 4
- Triton Tensorrt-LLM 24.04 and 24.05 are very large HOT 3
- Poll failed for model directory 'diabetes_model': Invalid model name: Could not determine backend for model 'diabetes_model' with no backend in model configuration. Expected model name of the form 'model.<backend_name>' HOT 3
- Triton server crash when running a large model with an ONNX/CPU backend HOT 1
- could you give some examples about ragged input config for tensorrt backend HOT 4
- Large latency when use `tritonclient.http.aio.infer` HOT 1
- tritonserver log problem
- The trt llm container does not have the other backends HOT 6
- Regression from 23.07 to 24.05 on model count lifecycle/restarts HOT 1
- Add torch.set_float32_matmul_precision settting in Libtorch backend
- Question about the `get_response()` function in the Python API's HTTP/REST Client
- Triton ensemble not working as expected to support reshape HOT 1
- nvcr.io: i/o timeout - error 401 HOT 1
- How to use pb_utils in python backend to receive data from cudashm?
- why is only 1st 'batch' inferred?
- How does the stateful model maintain state among multiple pods?
- Minimal Custom Backend Example Not Working
- Model 'tensorrt_llm' loading failed with error: key 'use_context_fmha_for_generation' not found HOT 1
- Dynamic batching with OpenVINO backend
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