Fix time_tests runs when models_cache enabled (#5265)
* Set ``"additionalProperties": true` to enable 'use_model_cache' in time_tests * Limit tests scope in desktop_test_config_cache.yml
This commit is contained in:
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@ -6,14 +6,6 @@
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precision: FP16
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framework: caffe2
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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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name: resnet-50-pytorch
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precision: FP16
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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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@ -22,14 +14,6 @@
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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: 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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name: resnet-50-pytorch
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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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@ -38,14 +22,6 @@
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precision: FP16
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framework: caffe2
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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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name: mobilenet-v2
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precision: FP16
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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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@ -54,490 +30,3 @@
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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: 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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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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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-sparse-60-0001/tf/FP16/faster-rcnn-resnet101-coco-sparse-60-0001.xml
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name: faster-rcnn-resnet101-coco-sparse-60-0001
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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-sparse-60-0001/tf/FP16/faster-rcnn-resnet101-coco-sparse-60-0001.xml
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name: faster-rcnn-resnet101-coco-sparse-60-0001
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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-sparse-60-0001/tf/FP16-INT8/faster-rcnn-resnet101-coco-sparse-60-0001.xml
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name: faster-rcnn-resnet101-coco-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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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/faster-rcnn-resnet101-coco-sparse-60-0001/tf/FP16-INT8/faster-rcnn-resnet101-coco-sparse-60-0001.xml
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name: faster-rcnn-resnet101-coco-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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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/googlenet-v1/tf/FP16/googlenet-v1.xml
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name: googlenet-v1
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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}/googlenet-v1/tf/FP16/googlenet-v1.xml
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name: googlenet-v1
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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}/googlenet-v1/tf/FP16-INT8/googlenet-v1.xml
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name: googlenet-v1
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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}/googlenet-v1/tf/FP16-INT8/googlenet-v1.xml
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name: googlenet-v1
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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: CPU
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model:
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path: ${VPUX_MODELS_PKG}/googlenet-v3/tf/FP16/googlenet-v3.xml
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name: googlenet-v3
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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}/googlenet-v3/tf/FP16/googlenet-v3.xml
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name: googlenet-v3
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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}/googlenet-v3/tf/FP16-INT8/googlenet-v3.xml
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name: googlenet-v3
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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}/googlenet-v3/tf/FP16-INT8/googlenet-v3.xml
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name: googlenet-v3
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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: CPU
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model:
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path: ${VPUX_MODELS_PKG}/ssd512/caffe/FP16/ssd512.xml
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name: ssd512
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precision: FP16
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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}/ssd512/caffe/FP16/ssd512.xml
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name: ssd512
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precision: FP16
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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}/ssd512/caffe/FP16-INT8/ssd512.xml
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name: ssd512
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precision: FP16-INT8
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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}/ssd512/caffe/FP16-INT8/ssd512.xml
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name: ssd512
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precision: FP16-INT8
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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}/yolo-v2-ava-0001/tf/FP16/yolo-v2-ava-0001.xml
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name: yolo-v2-ava-0001
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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}/yolo-v2-ava-0001/tf/FP16/yolo-v2-ava-0001.xml
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name: yolo-v2-ava-0001
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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}/yolo-v2-ava-0001/tf/FP16-INT8/yolo-v2-ava-0001.xml
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name: yolo-v2-ava-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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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/yolo-v2-ava-0001/tf/FP16-INT8/yolo-v2-ava-0001.xml
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name: yolo-v2-ava-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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- device:
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name: CPU
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||||
model:
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||||
path: ${VPUX_MODELS_PKG}/yolo-v2-ava-sparse-35-0001/tf/FP16/yolo-v2-ava-sparse-35-0001.xml
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||||
name: yolo-v2-ava-sparse-35-0001
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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}/yolo-v2-ava-sparse-35-0001/tf/FP16/yolo-v2-ava-sparse-35-0001.xml
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||||
name: yolo-v2-ava-sparse-35-0001
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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}/yolo-v2-ava-sparse-35-0001/tf/FP16-INT8/yolo-v2-ava-sparse-35-0001.xml
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||||
name: yolo-v2-ava-sparse-35-0001
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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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||||
- device:
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||||
name: GPU
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||||
model:
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||||
path: ${VPUX_MODELS_PKG}/yolo-v2-ava-sparse-35-0001/tf/FP16-INT8/yolo-v2-ava-sparse-35-0001.xml
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||||
name: yolo-v2-ava-sparse-35-0001
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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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||||
- device:
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||||
name: CPU
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||||
model:
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||||
path: ${VPUX_MODELS_PKG}/yolo-v2-ava-sparse-70-0001/tf/FP16/yolo-v2-ava-sparse-70-0001.xml
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||||
name: yolo-v2-ava-sparse-70-0001
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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}/yolo-v2-ava-sparse-70-0001/tf/FP16/yolo-v2-ava-sparse-70-0001.xml
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||||
name: yolo-v2-ava-sparse-70-0001
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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}/yolo-v2-ava-sparse-70-0001/tf/FP16-INT8/yolo-v2-ava-sparse-70-0001.xml
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||||
name: yolo-v2-ava-sparse-70-0001
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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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||||
- device:
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||||
name: GPU
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||||
model:
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||||
path: ${VPUX_MODELS_PKG}/yolo-v2-ava-sparse-70-0001/tf/FP16-INT8/yolo-v2-ava-sparse-70-0001.xml
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||||
name: yolo-v2-ava-sparse-70-0001
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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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||||
- device:
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||||
name: CPU
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||||
model:
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||||
path: ${VPUX_MODELS_PKG}/yolo-v2-tiny-ava-0001/tf/FP16/yolo-v2-tiny-ava-0001.xml
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||||
name: yolo-v2-tiny-ava-0001
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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}/yolo-v2-tiny-ava-0001/tf/FP16/yolo-v2-tiny-ava-0001.xml
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||||
name: yolo-v2-tiny-ava-0001
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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}/yolo-v2-tiny-ava-0001/tf/FP16-INT8/yolo-v2-tiny-ava-0001.xml
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name: yolo-v2-tiny-ava-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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||||
- device:
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||||
name: GPU
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||||
model:
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||||
path: ${VPUX_MODELS_PKG}/yolo-v2-tiny-ava-0001/tf/FP16-INT8/yolo-v2-tiny-ava-0001.xml
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name: yolo-v2-tiny-ava-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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||||
- device:
|
||||
name: CPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/yolo-v2-tiny-ava-sparse-30-0001/tf/FP16/yolo-v2-tiny-ava-sparse-30-0001.xml
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||||
name: yolo-v2-tiny-ava-sparse-30-0001
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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:
|
||||
name: GPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/yolo-v2-tiny-ava-sparse-30-0001/tf/FP16/yolo-v2-tiny-ava-sparse-30-0001.xml
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||||
name: yolo-v2-tiny-ava-sparse-30-0001
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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:
|
||||
name: CPU
|
||||
model:
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||||
path: ${VPUX_MODELS_PKG}/yolo-v2-tiny-ava-sparse-30-0001/tf/FP16-INT8/yolo-v2-tiny-ava-sparse-30-0001.xml
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||||
name: yolo-v2-tiny-ava-sparse-30-0001
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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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||||
- device:
|
||||
name: GPU
|
||||
model:
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||||
path: ${VPUX_MODELS_PKG}/yolo-v2-tiny-ava-sparse-30-0001/tf/FP16-INT8/yolo-v2-tiny-ava-sparse-30-0001.xml
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||||
name: yolo-v2-tiny-ava-sparse-30-0001
|
||||
precision: FP16-INT8
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||||
framework: tf
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||||
use_model_cache: true
|
||||
- device:
|
||||
name: CPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/yolo-v2-tiny-ava-sparse-60-0001/tf/FP16/yolo-v2-tiny-ava-sparse-60-0001.xml
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||||
name: yolo-v2-tiny-ava-sparse-60-0001
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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:
|
||||
name: GPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/yolo-v2-tiny-ava-sparse-60-0001/tf/FP16/yolo-v2-tiny-ava-sparse-60-0001.xml
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||||
name: yolo-v2-tiny-ava-sparse-60-0001
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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:
|
||||
name: CPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/yolo-v2-tiny-ava-sparse-60-0001/tf/FP16-INT8/yolo-v2-tiny-ava-sparse-60-0001.xml
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||||
name: yolo-v2-tiny-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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||||
- device:
|
||||
name: GPU
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||||
model:
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||||
path: ${VPUX_MODELS_PKG}/yolo-v2-tiny-ava-sparse-60-0001/tf/FP16-INT8/yolo-v2-tiny-ava-sparse-60-0001.xml
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||||
name: yolo-v2-tiny-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
|
||||
- device:
|
||||
name: CPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/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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||||
use_model_cache: true
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||||
- device:
|
||||
name: GPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/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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||||
use_model_cache: true
|
||||
- device:
|
||||
name: CPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16-INT8/squeezenet1.1.xml
|
||||
name: squeezenet1.1
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||||
precision: FP16-INT8
|
||||
framework: caffe2
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: GPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/squeezenet1.1/caffe2/FP16-INT8/squeezenet1.1.xml
|
||||
name: squeezenet1.1
|
||||
precision: FP16-INT8
|
||||
framework: caffe2
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: CPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-0001/tf/FP16/icnet-camvid-ava-0001.xml
|
||||
name: icnet-camvid-ava-0001
|
||||
precision: FP16
|
||||
framework: tf
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: GPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-0001/tf/FP16/icnet-camvid-ava-0001.xml
|
||||
name: icnet-camvid-ava-0001
|
||||
precision: FP16
|
||||
framework: tf
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: CPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-0001/tf/FP16-INT8/icnet-camvid-ava-0001.xml
|
||||
name: icnet-camvid-ava-0001
|
||||
precision: FP16-INT8
|
||||
framework: tf
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: GPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-0001/tf/FP16-INT8/icnet-camvid-ava-0001.xml
|
||||
name: icnet-camvid-ava-0001
|
||||
precision: FP16-INT8
|
||||
framework: tf
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: CPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-sparse-30-0001/tf/FP16/icnet-camvid-ava-sparse-30-0001.xml
|
||||
name: icnet-camvid-ava-sparse-30-0001
|
||||
precision: FP16
|
||||
framework: tf
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: GPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-sparse-30-0001/tf/FP16/icnet-camvid-ava-sparse-30-0001.xml
|
||||
name: icnet-camvid-ava-sparse-30-0001
|
||||
precision: FP16
|
||||
framework: tf
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: CPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-sparse-30-0001/tf/FP16-INT8/icnet-camvid-ava-sparse-30-0001.xml
|
||||
name: icnet-camvid-ava-sparse-30-0001
|
||||
precision: FP16-INT8
|
||||
framework: tf
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: GPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-sparse-30-0001/tf/FP16-INT8/icnet-camvid-ava-sparse-30-0001.xml
|
||||
name: icnet-camvid-ava-sparse-30-0001
|
||||
precision: FP16-INT8
|
||||
framework: tf
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: CPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-sparse-60-0001/tf/FP16/icnet-camvid-ava-sparse-60-0001.xml
|
||||
name: icnet-camvid-ava-sparse-60-0001
|
||||
precision: FP16
|
||||
framework: tf
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: GPU
|
||||
model:
|
||||
path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-sparse-60-0001/tf/FP16/icnet-camvid-ava-sparse-60-0001.xml
|
||||
name: icnet-camvid-ava-sparse-60-0001
|
||||
precision: FP16
|
||||
framework: tf
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: CPU
|
||||
model:
|
||||
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
|
||||
use_model_cache: true
|
||||
- device:
|
||||
name: GPU
|
||||
model:
|
||||
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
|
||||
|
@ -207,7 +207,7 @@ def validate_test_case(request, test_info):
|
||||
}
|
||||
},
|
||||
"required": ["device", "model"],
|
||||
"additionalProperties": false
|
||||
"additionalProperties": true
|
||||
}
|
||||
"""
|
||||
schema = json.loads(schema)
|
||||
|
Loading…
Reference in New Issue
Block a user