WebMar 30, 2024 · I currently have a triton server with a python backend that serves a model. The machine I am running the inference on is a g4dn.xlarge machine. The instance count provided for the GPU in the config.pbtxt is varied between 1 to 3. I am using perf_analyzer to see if my model scales well for concurrent requests but I get the following results when ... WebJun 7, 2024 · 1 I'm currently trying use perf_analyzer of Nvidia Triton Inference Server with Deep Learning model which take as input a numpy array (which is an image).* I followed …
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WebJun 7, 2024 · 1 I'm currently trying use perf_analyzer of Nvidia Triton Inference Server with Deep Learning model which take as input a numpy array (which is an image).* I followed the steps to use real data from the documentation but my input are rejected by the perf_analyzer : "error: unsupported input data provided perf_analyzer". This is my input … WebPerf Analyzer We can use perf_analyzer provided by Triton to test the performance of the service. Generate Input Data from Audio Files For offline ASR server: cd sherpa/triton/client # en python3 generate_perf_input.py --audio_file = test_wavs/1089-134686-0001.wav # zh python3 generate_perf_input.py --audio_file = test_wavs/zh/mid.wav WebJan 12, 2024 · Download ZIP Tensorflow Serving, TensorRT Inference Server (Triton), Multi Model Server (MXNet) Raw benchmark.md Environments CPU: Intel (R) Xeon (R) Gold 6130 CPU @ 2.10GHz GPU: NVIDIA V100 Memory: 251GiB OS: Ubuntu 16.04.6 LTS (Xenial Xerus) Docker Images: tensorflow/tensorflow:latest-gpu tensorflow/serving:latest-gpu play therapy course hk