deepsparse new Suite
1.0.0
System
Test suite extracted from deepsparse new.
pts/deepsparse-1.3.2
zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario async
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.3.2
zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario sync
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
pts/deepsparse-1.3.2
zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario async
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.3.2
zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario sync
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
pts/deepsparse-1.3.2
zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario async
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.3.2
zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario sync
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
pts/deepsparse-1.3.2
zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.3.2
zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario sync
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
pts/deepsparse-1.3.2
zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.3.2
zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario sync
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
pts/deepsparse-1.3.2
zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.3.2
zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario sync
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
pts/deepsparse-1.3.2
zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario async
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.3.2
zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario sync
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
pts/deepsparse-1.3.2
zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario async
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.3.2
zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario sync
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
pts/deepsparse-1.3.2
zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario async
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.3.2
zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario sync
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream