<?xml version="1.0"?>
<!--Phoronix Test Suite v10.8.4-->
<PhoronixTestSuite>
  <SuiteInformation>
    <Title>new we Suite</Title>
    <Version>1.0.0</Version>
    <TestType>System</TestType>
    <Description>Test suite extracted from new we.</Description>
    <Maintainer> </Maintainer>
  </SuiteInformation>
  <Execute>
    <Test>pts/dav1d-1.14.0</Test>
    <Arguments>-i chimera_8b_1080p.ivf</Arguments>
    <Description>Video Input: Chimera 1080p</Description>
  </Execute>
  <Execute>
    <Test>pts/dav1d-1.14.0</Test>
    <Arguments>-i summer_nature_4k.ivf</Arguments>
    <Description>Video Input: Summer Nature 4K</Description>
  </Execute>
  <Execute>
    <Test>pts/dav1d-1.14.0</Test>
    <Arguments>-i summer_nature_1080p.ivf</Arguments>
    <Description>Video Input: Summer Nature 1080p</Description>
  </Execute>
  <Execute>
    <Test>pts/dav1d-1.14.0</Test>
    <Arguments>-i chimera_10b_1080p.ivf</Arguments>
    <Description>Video Input: Chimera 1080p 10-bit</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario async</Arguments>
    <Description>Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario sync</Arguments>
    <Description>Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario async</Arguments>
    <Description>Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario sync</Arguments>
    <Description>Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario async</Arguments>
    <Description>Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario sync</Arguments>
    <Description>Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async</Arguments>
    <Description>Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario sync</Arguments>
    <Description>Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async</Arguments>
    <Description>Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario sync</Arguments>
    <Description>Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async</Arguments>
    <Description>Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario sync</Arguments>
    <Description>Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario async</Arguments>
    <Description>Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario sync</Arguments>
    <Description>Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario async</Arguments>
    <Description>Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario sync</Arguments>
    <Description>Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario async</Arguments>
    <Description>Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream</Description>
  </Execute>
  <Execute>
    <Test>pts/deepsparse-1.5.0</Test>
    <Arguments>zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario sync</Arguments>
    <Description>Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream</Description>
  </Execute>
</PhoronixTestSuite>
