Add several new models to tgl_test_config.yml
in time_tests (#3268)
* Fix wrong path for `yolo-v2-tiny-ava-0001` for time_tests * Add several new models to `tgl_test_config.yml` in time_tests
This commit is contained in:
parent
146d056018
commit
364bf08920
@ -82,6 +82,62 @@
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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: 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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- 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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- 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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- 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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- 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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- 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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- 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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- 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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- device:
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name: CPU
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model:
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@ -169,28 +225,252 @@
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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-ava-0001.xml
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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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- 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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- 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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- 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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- 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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- 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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- 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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- 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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- 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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- 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-ava-0001.xml
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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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- 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-ava-0001.xml
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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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- 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-ava-0001.xml
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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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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}/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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- device:
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name: GPU
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model:
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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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- device:
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name: CPU
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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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- device:
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name: GPU
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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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- device:
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name: CPU
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model:
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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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- device:
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name: GPU
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model:
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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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- device:
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name: CPU
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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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- device:
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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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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/tf/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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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/tf/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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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/tf/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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- device:
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name: GPU
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model:
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path: ${VPUX_MODELS_PKG}/squeezenet1.1/tf/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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- device:
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name: CPU
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model:
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path: ${VPUX_MODELS_PKG}/icnet-camvid-ava-0001/tf/FP16/icnet-camvid-ava-0001.xml
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name: icnet-camvid-ava-0001
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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}/icnet-camvid-ava-0001/tf/FP16/icnet-camvid-ava-0001.xml
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name: icnet-camvid-ava-0001
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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}/icnet-camvid-ava-0001/tf/FP16-INT8/icnet-camvid-ava-0001.xml
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name: icnet-camvid-ava-0001
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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}/icnet-camvid-ava-0001/tf/FP16-INT8/icnet-camvid-ava-0001.xml
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name: icnet-camvid-ava-0001
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precision: FP16-INT8
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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}/icnet-camvid-ava-sparse-30-0001/tf/FP16/icnet-camvid-ava-sparse-30-0001.xml
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name: icnet-camvid-ava-sparse-30-0001
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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}/icnet-camvid-ava-sparse-30-0001/tf/FP16/icnet-camvid-ava-sparse-30-0001.xml
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name: icnet-camvid-ava-sparse-30-0001
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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}/icnet-camvid-ava-sparse-30-0001/tf/FP16-INT8/icnet-camvid-ava-sparse-30-0001.xml
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name: icnet-camvid-ava-sparse-30-0001
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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}/icnet-camvid-ava-sparse-30-0001/tf/FP16-INT8/icnet-camvid-ava-sparse-30-0001.xml
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name: icnet-camvid-ava-sparse-30-0001
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precision: FP16-INT8
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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}/icnet-camvid-ava-sparse-60-0001/tf/FP16/icnet-camvid-ava-sparse-60-0001.xml
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name: icnet-camvid-ava-sparse-60-0001
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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}/icnet-camvid-ava-sparse-60-0001/tf/FP16/icnet-camvid-ava-sparse-60-0001.xml
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name: icnet-camvid-ava-sparse-60-0001
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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}/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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- device:
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name: GPU
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model:
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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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