Update models folder for TimeTests (#10107)
* add performance hint to time infer * upd time models
This commit is contained in:
parent
70ca4b6e40
commit
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@ -1,87 +1,59 @@
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16/resnet-50-pytorch.xml
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16/resnet-50-pytorch.xml
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name: resnet-50-pytorch
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precision: FP16
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framework: caffe2
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framework: onnx
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16/resnet-50-pytorch.xml
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16/resnet-50-pytorch.xml
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name: resnet-50-pytorch
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precision: FP16
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framework: caffe2
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framework: onnx
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16-INT8/resnet-50-pytorch.xml
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16-INT8/resnet-50-pytorch.xml
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name: resnet-50-pytorch
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precision: FP16-INT8
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framework: caffe2
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framework: onnx
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16-INT8/resnet-50-pytorch.xml
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16-INT8/resnet-50-pytorch.xml
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name: resnet-50-pytorch
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precision: FP16-INT8
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framework: caffe2
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framework: onnx
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16/mobilenet-v2.xml
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16/mobilenet-v2.xml
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name: mobilenet-v2
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precision: FP16
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framework: caffe2
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framework: caffe
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16/mobilenet-v2.xml
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16/mobilenet-v2.xml
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name: mobilenet-v2
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precision: FP16
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framework: caffe2
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framework: caffe
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16-INT8/mobilenet-v2.xml
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16-INT8/mobilenet-v2.xml
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name: mobilenet-v2
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precision: FP16-INT8
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framework: caffe2
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framework: caffe
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16-INT8/mobilenet-v2.xml
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16-INT8/mobilenet-v2.xml
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name: mobilenet-v2
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precision: FP16-INT8
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framework: caffe2
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16/faster_rcnn_resnet101_coco.xml
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name: faster_rcnn_resnet101_coco
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precision: FP16
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framework: tf
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16/faster_rcnn_resnet101_coco.xml
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name: faster_rcnn_resnet101_coco
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precision: FP16
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framework: tf
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16-INT8/faster_rcnn_resnet101_coco.xml
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name: faster_rcnn_resnet101_coco
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precision: FP16-INT8
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framework: tf
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16-INT8/faster_rcnn_resnet101_coco.xml
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name: faster_rcnn_resnet101_coco
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precision: FP16-INT8
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framework: tf
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framework: caffe
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- device:
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name: CPU
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model:
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@ -365,31 +337,31 @@
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16/squeezenet1.1.xml
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16/squeezenet1.1.xml
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name: squeezenet1.1
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precision: FP16
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framework: caffe2
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framework: caffe
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16/squeezenet1.1.xml
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16/squeezenet1.1.xml
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name: squeezenet1.1
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precision: FP16
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framework: caffe2
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framework: caffe
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16-INT8/squeezenet1.1.xml
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16-INT8/squeezenet1.1.xml
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name: squeezenet1.1
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precision: FP16-INT8
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framework: caffe2
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framework: caffe
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16-INT8/squeezenet1.1.xml
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16-INT8/squeezenet1.1.xml
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name: squeezenet1.1
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precision: FP16-INT8
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framework: caffe2
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framework: caffe
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- device:
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name: CPU
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model:
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@ -473,4 +445,4 @@
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path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-sparse-60-0001/tf/FP16-INT8/icnet-camvid-ava-sparse-60-0001.xml
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name: icnet-camvid-ava-sparse-60-0001
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precision: FP16-INT8
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framework: tf
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framework: tf
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@ -1,98 +1,66 @@
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16/resnet-50-pytorch.xml
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16/resnet-50-pytorch.xml
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name: resnet-50-pytorch
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precision: FP16
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framework: caffe2
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framework: onnx
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use_model_cache: true
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16/resnet-50-pytorch.xml
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16/resnet-50-pytorch.xml
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name: resnet-50-pytorch
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precision: FP16
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framework: caffe2
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framework: onnx
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use_model_cache: true
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16-INT8/resnet-50-pytorch.xml
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16-INT8/resnet-50-pytorch.xml
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name: resnet-50-pytorch
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precision: FP16-INT8
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framework: caffe2
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framework: onnx
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use_model_cache: true
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/caffe2/FP16-INT8/resnet-50-pytorch.xml
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path: ${VPUX_MODELS_PKG}/resnet-50-pytorch/onnx/FP16-INT8/resnet-50-pytorch.xml
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name: resnet-50-pytorch
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precision: FP16-INT8
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framework: caffe2
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framework: onnx
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use_model_cache: true
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16/mobilenet-v2.xml
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16/mobilenet-v2.xml
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name: mobilenet-v2
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precision: FP16
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framework: caffe2
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framework: caffe
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use_model_cache: true
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16/mobilenet-v2.xml
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16/mobilenet-v2.xml
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name: mobilenet-v2
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precision: FP16
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framework: caffe2
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framework: caffe
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use_model_cache: true
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16-INT8/mobilenet-v2.xml
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16-INT8/mobilenet-v2.xml
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name: mobilenet-v2
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precision: FP16-INT8
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framework: caffe2
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framework: caffe
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use_model_cache: true
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe2/FP16-INT8/mobilenet-v2.xml
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path: ${VPUX_MODELS_PKG}/mobilenet-v2/caffe/FP16-INT8/mobilenet-v2.xml
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name: mobilenet-v2
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precision: FP16-INT8
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framework: caffe2
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use_model_cache: true
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16/faster_rcnn_resnet101_coco.xml
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name: faster_rcnn_resnet101_coco
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precision: FP16
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framework: tf
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use_model_cache: true
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16/faster_rcnn_resnet101_coco.xml
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name: faster_rcnn_resnet101_coco
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precision: FP16
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framework: tf
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use_model_cache: true
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16-INT8/faster_rcnn_resnet101_coco.xml
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name: faster_rcnn_resnet101_coco
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precision: FP16-INT8
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framework: tf
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use_model_cache: true
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/faster_rcnn_resnet101_coco/tf/FP16-INT8/faster_rcnn_resnet101_coco.xml
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name: faster_rcnn_resnet101_coco
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precision: FP16-INT8
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framework: tf
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framework: caffe
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use_model_cache: true
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- device:
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name: CPU
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@ -417,34 +385,34 @@
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16/squeezenet1.1.xml
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16/squeezenet1.1.xml
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name: squeezenet1.1
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precision: FP16
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framework: caffe2
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framework: caffe
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use_model_cache: true
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16/squeezenet1.1.xml
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16/squeezenet1.1.xml
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name: squeezenet1.1
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precision: FP16
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framework: caffe2
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framework: caffe
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use_model_cache: true
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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16-INT8/squeezenet1.1.xml
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16-INT8/squeezenet1.1.xml
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name: squeezenet1.1
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precision: FP16-INT8
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framework: caffe2
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framework: caffe
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use_model_cache: true
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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16-INT8/squeezenet1.1.xml
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe/FP16-INT8/squeezenet1.1.xml
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name: squeezenet1.1
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precision: FP16-INT8
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framework: caffe2
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framework: caffe
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use_model_cache: true
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- device:
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name: CPU
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@ -541,4 +509,4 @@
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name: icnet-camvid-ava-sparse-60-0001
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precision: FP16-INT8
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framework: tf
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use_model_cache: true
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use_model_cache: true
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