Comments (1)
feeeper
commented on May 31, 2024
It was my bad. Everything works automagically. Service Monitor, Prometheus, and k8s somehow add themselves all needed labels (aka dimensions) to the metric mentioned in the first message.
I didn't need to add dimension_values manually.
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Related Issues (20)
- Update LLM/llama2 to Llama3
- Update large_models/inferentia2/llama2 to Llama3
- Update large_models/tp_llama to llama3
- Update large_models/gpt_fast to llama3
- How to pass parameters from preprocessing to postprocessing when using micro-batch operations HOT 4
- Load model failed - error: Worker died HOT 6
- Docker regression failure: test_handler_traceback_logging.py
- Exchange Llama2 against Llama3 in HF_accelerate example
- CUDA out of Memory with low Memory Utilization (CUDA error: device-side assert triggered) HOT 5
- If micro_batch_size of micro-batch is set to 1, then model inference is still batch processing? HOT 1
- question to model inference optimization HOT 1
- Duplicate base_neuronx_continuous_batching_handler.py HOT 1
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- model archiver example very long 1 liner
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- Make torchserve-kfs docker image multiplatform
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