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I am running MLPerf Inference datacenter suite on a CPU only device following the instructions on the [documentation](https://docs.mlcommons.org/inference/benchmarks/language/llama2-70b/).
The sug…
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[Single-Shot Detector (SSD)](https://towardsdatascience.com/understanding-ssd-multibox-real-time-object-detection-in-deep-learning-495ef744fab) is a popular approach for object detection. It can be pa…
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Hello,
when downloading the processed dataset for llama2-70b with rclone: as specified on the file "language/llama2-70b/README.md" on the "get dataset section" I noticed the file "mlperf_log_accuracy…
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I'm trying to executed this benchmark: https://github.com/mlcommons/inference_results_v1.0/tree/master/closed/Intel/code/resnet50/tensorflow but when running it I have an error like:
```
2022-02-01 …
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I am to product `int4_offline` with instructions as blows:
**build loadgen** it seems successful.
```shell
git clone --recurse-submodules https://github.com/mlperf/inference.git mlperf_inference
…
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According to https://github.com/mlcommons/inference/blob/master/Submission_Guidelines.md#expected-time-to-do-benchmark-runs
There is no constraint on the model used also except that the model must…
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Clone source code from below link: https://github.com/mlperf/inference_results_v0.5/tree/master/closed/Intel/code/ssd-small/openvino-windows
List LNK2019: unresolved external symbol too much on th…
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I am trying to run "MlPref /speech_recognition " in my CPU. But when I run the ./run.sh file from this link "https://github.com/mlcommons/inference/tree/r1.1/speech_recognition/rnnt" , it creates few …
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Hello,
Nvidia MLPerf suggests to use [TensorRT](https://github.com/NVIDIA/TensorRT) framework for a performant inference deployment. For DLRM (DL based Recommendation Systems) inference on GPU, I h…
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Hi I am running into this issue. Are there any ways that I can run the SDXL benchmark on an Intel cpu?
```
(mlperf) ziw081@mlperf-inference-ziw081-x86-64-10725:/work$ make run_harness RUN_ARGS=…