674 lines
19 KiB
YAML
674 lines
19 KiB
YAML
- device:
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name: AUTO:CPU
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model:
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path: ${NPU_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: onnx
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|
- device:
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|
name: AUTO:GPU
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model:
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|
path: ${NPU_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: onnx
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|
- device:
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name: AUTO:GPU,CPU
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model:
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path: ${NPU_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: onnx
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|
- device:
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name: AUTO:CPU
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model:
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path: ${NPU_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: onnx
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- device:
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name: AUTO:GPU
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model:
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path: ${NPU_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: onnx
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- device:
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name: AUTO:GPU,CPU
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model:
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path: ${NPU_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: onnx
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- device:
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name: AUTO:CPU
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model:
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path: ${NPU_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: caffe
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- device:
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name: AUTO:GPU
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model:
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path: ${NPU_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: caffe
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- device:
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name: AUTO:GPU,CPU
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model:
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path: ${NPU_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: caffe
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- device:
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name: AUTO:CPU
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model:
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path: ${NPU_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: caffe
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- device:
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name: AUTO:GPU
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model:
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path: ${NPU_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: caffe
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- device:
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name: AUTO:GPU,CPU
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model:
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path: ${NPU_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: caffe
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- device:
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name: AUTO:CPU
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model:
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path: ${NPU_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: AUTO:GPU
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model:
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path: ${NPU_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: AUTO:GPU,CPU
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model:
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path: ${NPU_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: AUTO:CPU
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model:
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path: ${NPU_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: AUTO:GPU
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model:
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path: ${NPU_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: AUTO:GPU,CPU
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model:
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path: ${NPU_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: AUTO:CPU
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model:
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path: ${NPU_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: AUTO:GPU
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model:
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|
path: ${NPU_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: AUTO:GPU,CPU
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model:
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path: ${NPU_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: AUTO:CPU
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model:
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path: ${NPU_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: AUTO:GPU
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model:
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path: ${NPU_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: AUTO:GPU,CPU
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model:
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path: ${NPU_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: AUTO:CPU
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model:
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path: ${NPU_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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|
- device:
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name: AUTO:GPU
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model:
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path: ${NPU_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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|
- device:
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name: AUTO:GPU,CPU
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model:
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path: ${NPU_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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- device:
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name: AUTO:CPU
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model:
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path: ${NPU_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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|
- device:
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name: AUTO:GPU
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model:
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path: ${NPU_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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|
- device:
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name: AUTO:GPU,CPU
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model:
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path: ${NPU_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
|
|
- device:
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name: AUTO:CPU
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model:
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path: ${NPU_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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|
- device:
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name: AUTO:GPU
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model:
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path: ${NPU_MODELS_PKG}/ssd512/caffe/FP16/ssd512.xml
|
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name: ssd512
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precision: FP16
|
|
framework: caffe
|
|
- device:
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name: AUTO:GPU,CPU
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|
model:
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|
path: ${NPU_MODELS_PKG}/ssd512/caffe/FP16/ssd512.xml
|
|
name: ssd512
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precision: FP16
|
|
framework: caffe
|
|
- device:
|
|
name: AUTO:CPU
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|
model:
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|
path: ${NPU_MODELS_PKG}/ssd512/caffe/FP16-INT8/ssd512.xml
|
|
name: ssd512
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|
precision: FP16-INT8
|
|
framework: caffe
|
|
- device:
|
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name: AUTO:GPU
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|
model:
|
|
path: ${NPU_MODELS_PKG}/ssd512/caffe/FP16-INT8/ssd512.xml
|
|
name: ssd512
|
|
precision: FP16-INT8
|
|
framework: caffe
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/ssd512/caffe/FP16-INT8/ssd512.xml
|
|
name: ssd512
|
|
precision: FP16-INT8
|
|
framework: caffe
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-0001/tf/FP16/yolo-v2-ava-0001.xml
|
|
name: yolo-v2-ava-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
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model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-0001/tf/FP16/yolo-v2-ava-0001.xml
|
|
name: yolo-v2-ava-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-0001/tf/FP16/yolo-v2-ava-0001.xml
|
|
name: yolo-v2-ava-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-0001/tf/FP16-INT8/yolo-v2-ava-0001.xml
|
|
name: yolo-v2-ava-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-0001/tf/FP16-INT8/yolo-v2-ava-0001.xml
|
|
name: yolo-v2-ava-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-0001/tf/FP16-INT8/yolo-v2-ava-0001.xml
|
|
name: yolo-v2-ava-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-35-0001/tf/FP16/yolo-v2-ava-sparse-35-0001.xml
|
|
name: yolo-v2-ava-sparse-35-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-35-0001/tf/FP16/yolo-v2-ava-sparse-35-0001.xml
|
|
name: yolo-v2-ava-sparse-35-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-35-0001/tf/FP16/yolo-v2-ava-sparse-35-0001.xml
|
|
name: yolo-v2-ava-sparse-35-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-35-0001/tf/FP16-INT8/yolo-v2-ava-sparse-35-0001.xml
|
|
name: yolo-v2-ava-sparse-35-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-35-0001/tf/FP16-INT8/yolo-v2-ava-sparse-35-0001.xml
|
|
name: yolo-v2-ava-sparse-35-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-35-0001/tf/FP16-INT8/yolo-v2-ava-sparse-35-0001.xml
|
|
name: yolo-v2-ava-sparse-35-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-70-0001/tf/FP16/yolo-v2-ava-sparse-70-0001.xml
|
|
name: yolo-v2-ava-sparse-70-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-70-0001/tf/FP16/yolo-v2-ava-sparse-70-0001.xml
|
|
name: yolo-v2-ava-sparse-70-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-70-0001/tf/FP16/yolo-v2-ava-sparse-70-0001.xml
|
|
name: yolo-v2-ava-sparse-70-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-70-0001/tf/FP16-INT8/yolo-v2-ava-sparse-70-0001.xml
|
|
name: yolo-v2-ava-sparse-70-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-70-0001/tf/FP16-INT8/yolo-v2-ava-sparse-70-0001.xml
|
|
name: yolo-v2-ava-sparse-70-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-ava-sparse-70-0001/tf/FP16-INT8/yolo-v2-ava-sparse-70-0001.xml
|
|
name: yolo-v2-ava-sparse-70-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-0001/tf/FP16/yolo-v2-tiny-ava-0001.xml
|
|
name: yolo-v2-tiny-ava-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-0001/tf/FP16/yolo-v2-tiny-ava-0001.xml
|
|
name: yolo-v2-tiny-ava-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-0001/tf/FP16/yolo-v2-tiny-ava-0001.xml
|
|
name: yolo-v2-tiny-ava-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-0001/tf/FP16-INT8/yolo-v2-tiny-ava-0001.xml
|
|
name: yolo-v2-tiny-ava-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-0001/tf/FP16-INT8/yolo-v2-tiny-ava-0001.xml
|
|
name: yolo-v2-tiny-ava-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-0001/tf/FP16-INT8/yolo-v2-tiny-ava-0001.xml
|
|
name: yolo-v2-tiny-ava-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-30-0001/tf/FP16/yolo-v2-tiny-ava-sparse-30-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-30-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-30-0001/tf/FP16/yolo-v2-tiny-ava-sparse-30-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-30-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-30-0001/tf/FP16/yolo-v2-tiny-ava-sparse-30-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-30-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-30-0001/tf/FP16-INT8/yolo-v2-tiny-ava-sparse-30-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-30-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-30-0001/tf/FP16-INT8/yolo-v2-tiny-ava-sparse-30-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-30-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-30-0001/tf/FP16-INT8/yolo-v2-tiny-ava-sparse-30-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-30-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-60-0001/tf/FP16/yolo-v2-tiny-ava-sparse-60-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-60-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-60-0001/tf/FP16/yolo-v2-tiny-ava-sparse-60-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-60-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-60-0001/tf/FP16/yolo-v2-tiny-ava-sparse-60-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-60-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-60-0001/tf/FP16-INT8/yolo-v2-tiny-ava-sparse-60-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-60-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-60-0001/tf/FP16-INT8/yolo-v2-tiny-ava-sparse-60-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-60-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/yolo-v2-tiny-ava-sparse-60-0001/tf/FP16-INT8/yolo-v2-tiny-ava-sparse-60-0001.xml
|
|
name: yolo-v2-tiny-ava-sparse-60-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/squeezenet1.1/caffe/FP16/squeezenet1.1.xml
|
|
name: squeezenet1.1
|
|
precision: FP16
|
|
framework: caffe
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/squeezenet1.1/caffe/FP16/squeezenet1.1.xml
|
|
name: squeezenet1.1
|
|
precision: FP16
|
|
framework: caffe
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/squeezenet1.1/caffe/FP16/squeezenet1.1.xml
|
|
name: squeezenet1.1
|
|
precision: FP16
|
|
framework: caffe
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/squeezenet1.1/caffe/FP16-INT8/squeezenet1.1.xml
|
|
name: squeezenet1.1
|
|
precision: FP16-INT8
|
|
framework: caffe
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/squeezenet1.1/caffe/FP16-INT8/squeezenet1.1.xml
|
|
name: squeezenet1.1
|
|
precision: FP16-INT8
|
|
framework: caffe
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/squeezenet1.1/caffe/FP16-INT8/squeezenet1.1.xml
|
|
name: squeezenet1.1
|
|
precision: FP16-INT8
|
|
framework: caffe
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/icnet-camvid-ava-0001/tf/FP16/icnet-camvid-ava-0001.xml
|
|
name: icnet-camvid-ava-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/icnet-camvid-ava-0001/tf/FP16/icnet-camvid-ava-0001.xml
|
|
name: icnet-camvid-ava-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/icnet-camvid-ava-0001/tf/FP16/icnet-camvid-ava-0001.xml
|
|
name: icnet-camvid-ava-0001
|
|
precision: FP16
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/icnet-camvid-ava-0001/tf/FP16-INT8/icnet-camvid-ava-0001.xml
|
|
name: icnet-camvid-ava-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/icnet-camvid-ava-0001/tf/FP16-INT8/icnet-camvid-ava-0001.xml
|
|
name: icnet-camvid-ava-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_MODELS_PKG}/icnet-camvid-ava-0001/tf/FP16-INT8/icnet-camvid-ava-0001.xml
|
|
name: icnet-camvid-ava-0001
|
|
precision: FP16-INT8
|
|
framework: tf
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_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
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_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
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_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
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_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
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_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
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_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
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_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
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_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
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_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
|
|
- device:
|
|
name: AUTO:CPU
|
|
model:
|
|
path: ${NPU_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
|
|
- device:
|
|
name: AUTO:GPU
|
|
model:
|
|
path: ${NPU_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
|
|
- device:
|
|
name: AUTO:GPU,CPU
|
|
model:
|
|
path: ${NPU_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
|