Update models folder for TimeTests (#10107)

* add performance hint to time infer

* upd time models
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Victor Kuznetsov 2022-02-04 11:33:15 +03:00 committed by GitHub
parent 70ca4b6e40
commit ed6bb8ab2d
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2 changed files with 50 additions and 110 deletions

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@ -1,87 +1,59 @@
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16/resnet-50-pytorch.xml
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16/resnet-50-pytorch.xml
name: resnet-50-pytorch
precision: FP16
framework: caffe2
framework: onnx
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16/resnet-50-pytorch.xml
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16/resnet-50-pytorch.xml
name: resnet-50-pytorch
precision: FP16
framework: caffe2
framework: onnx
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16-INT8/resnet-50-pytorch.xml
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16-INT8/resnet-50-pytorch.xml
name: resnet-50-pytorch
precision: FP16-INT8
framework: caffe2
framework: onnx
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16-INT8/resnet-50-pytorch.xml
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16-INT8/resnet-50-pytorch.xml
name: resnet-50-pytorch
precision: FP16-INT8
framework: caffe2
framework: onnx
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16/mobilenet-v2.xml
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16/mobilenet-v2.xml
name: mobilenet-v2
precision: FP16
framework: caffe2
framework: caffe
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16/mobilenet-v2.xml
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16/mobilenet-v2.xml
name: mobilenet-v2
precision: FP16
framework: caffe2
framework: caffe
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16-INT8/mobilenet-v2.xml
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16-INT8/mobilenet-v2.xml
name: mobilenet-v2
precision: FP16-INT8
framework: caffe2
framework: caffe
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16-INT8/mobilenet-v2.xml
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16-INT8/mobilenet-v2.xml
name: mobilenet-v2
precision: FP16-INT8
framework: caffe2
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16/faster_rcnn_resnet101_coco.xml
name: faster_rcnn_resnet101_coco
precision: FP16
framework: tf
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16/faster_rcnn_resnet101_coco.xml
name: faster_rcnn_resnet101_coco
precision: FP16
framework: tf
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16-INT8/faster_rcnn_resnet101_coco.xml
name: faster_rcnn_resnet101_coco
precision: FP16-INT8
framework: tf
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16-INT8/faster_rcnn_resnet101_coco.xml
name: faster_rcnn_resnet101_coco
precision: FP16-INT8
framework: tf
framework: caffe
- device:
name: CPU
model:
@ -365,31 +337,31 @@
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16/squeezenet1.1.xml
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16/squeezenet1.1.xml
name: squeezenet1.1
precision: FP16
framework: caffe2
framework: caffe
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16/squeezenet1.1.xml
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16/squeezenet1.1.xml
name: squeezenet1.1
precision: FP16
framework: caffe2
framework: caffe
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16-INT8/squeezenet1.1.xml
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16-INT8/squeezenet1.1.xml
name: squeezenet1.1
precision: FP16-INT8
framework: caffe2
framework: caffe
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16-INT8/squeezenet1.1.xml
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16-INT8/squeezenet1.1.xml
name: squeezenet1.1
precision: FP16-INT8
framework: caffe2
framework: caffe
- device:
name: CPU
model:
@ -473,4 +445,4 @@
path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-sparse-60-0001/tf/FP16-INT8/icnet-camvid-ava-sparse-60-0001.xml
name: icnet-camvid-ava-sparse-60-0001
precision: FP16-INT8
framework: tf
framework: tf

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@ -1,98 +1,66 @@
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16/resnet-50-pytorch.xml
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16/resnet-50-pytorch.xml
name: resnet-50-pytorch
precision: FP16
framework: caffe2
framework: onnx
use_model_cache: true
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16/resnet-50-pytorch.xml
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16/resnet-50-pytorch.xml
name: resnet-50-pytorch
precision: FP16
framework: caffe2
framework: onnx
use_model_cache: true
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16-INT8/resnet-50-pytorch.xml
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16-INT8/resnet-50-pytorch.xml
name: resnet-50-pytorch
precision: FP16-INT8
framework: caffe2
framework: onnx
use_model_cache: true
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16-INT8/resnet-50-pytorch.xml
path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16-INT8/resnet-50-pytorch.xml
name: resnet-50-pytorch
precision: FP16-INT8
framework: caffe2
framework: onnx
use_model_cache: true
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16/mobilenet-v2.xml
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16/mobilenet-v2.xml
name: mobilenet-v2
precision: FP16
framework: caffe2
framework: caffe
use_model_cache: true
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16/mobilenet-v2.xml
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16/mobilenet-v2.xml
name: mobilenet-v2
precision: FP16
framework: caffe2
framework: caffe
use_model_cache: true
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16-INT8/mobilenet-v2.xml
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16-INT8/mobilenet-v2.xml
name: mobilenet-v2
precision: FP16-INT8
framework: caffe2
framework: caffe
use_model_cache: true
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16-INT8/mobilenet-v2.xml
path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16-INT8/mobilenet-v2.xml
name: mobilenet-v2
precision: FP16-INT8
framework: caffe2
use_model_cache: true
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16/faster_rcnn_resnet101_coco.xml
name: faster_rcnn_resnet101_coco
precision: FP16
framework: tf
use_model_cache: true
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16/faster_rcnn_resnet101_coco.xml
name: faster_rcnn_resnet101_coco
precision: FP16
framework: tf
use_model_cache: true
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16-INT8/faster_rcnn_resnet101_coco.xml
name: faster_rcnn_resnet101_coco
precision: FP16-INT8
framework: tf
use_model_cache: true
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16-INT8/faster_rcnn_resnet101_coco.xml
name: faster_rcnn_resnet101_coco
precision: FP16-INT8
framework: tf
framework: caffe
use_model_cache: true
- device:
name: CPU
@ -417,34 +385,34 @@
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16/squeezenet1.1.xml
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16/squeezenet1.1.xml
name: squeezenet1.1
precision: FP16
framework: caffe2
framework: caffe
use_model_cache: true
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16/squeezenet1.1.xml
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16/squeezenet1.1.xml
name: squeezenet1.1
precision: FP16
framework: caffe2
framework: caffe
use_model_cache: true
- device:
name: CPU
model:
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16-INT8/squeezenet1.1.xml
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16-INT8/squeezenet1.1.xml
name: squeezenet1.1
precision: FP16-INT8
framework: caffe2
framework: caffe
use_model_cache: true
- device:
name: GPU
model:
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16-INT8/squeezenet1.1.xml
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16-INT8/squeezenet1.1.xml
name: squeezenet1.1
precision: FP16-INT8
framework: caffe2
framework: caffe
use_model_cache: true
- device:
name: CPU
@ -541,4 +509,4 @@
name: icnet-camvid-ava-sparse-60-0001
precision: FP16-INT8
framework: tf
use_model_cache: true
use_model_cache: true