Upload traffic structure configuration
Browse files
models/nmv_color-int8-percentile-1_3_224_224-vacc/mod.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f20c75066f75df47e006a8dc6e6b7911c32f647abec647288476595d1833583
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size 297964
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models/nmv_color-int8-percentile-1_3_224_224-vacc/mod.params
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a5aea39b1d447e4b48100e5c432e6b784e9a6064d6fb8d4d68c45ff7fcfc98f
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size 15126980
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models/nmv_color-int8-percentile-1_3_224_224-vacc/mod.so
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version https://git-lfs.github.com/spec/v1
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oid sha256:335a66a3cbd730194e28ddc878511440b1df26047851aba9c490913881558c92
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size 497408
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models/nmv_color-int8-percentile-1_3_224_224-vacc/vamc.yaml
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dataset:
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path: ILSVRC2012_img_calib
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sampler: {get_data_num: 1000, suffix: JPEG}
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transform_ops:
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- {type: DecodeImage}
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- size: [256, 256]
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type: Resize
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- crop_size: [224, 224]
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type: CenterCrop
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- mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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type: Normalize
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- {type: ToTensor}
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engine:
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add_extra_ops_to_graph: {type: softmax}
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calibration: {calibrate_mode: percentile, quantize_per_channel: true, stream_mode: true}
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common: {cluster_mode: 0}
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dtype: int8
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type: vacc
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model:
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checkpoint: onnx/nmv_color.onnx
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inputs:
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input: [1, 3, 224, 224]
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name: nmv_color
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workspace: {enable_ir: false, save_log: true, work_dir: ./deploy_weights/}
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