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models/dbnet_resnet50_vd-int8-kl_divergence-1_3_736_1280/mod.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a65b83546fd1fc3ff80d8d1f8f9c07c80836ec445228cb0f3035f64f048c558e
+size 872773

models/dbnet_resnet50_vd-int8-kl_divergence-1_3_736_1280/mod.params

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+oid sha256:d1d8a0a1d3dff7f9ea7418c14cee59ad34144eb73f304e8b0a98318500530b55
+size 29566638

models/dbnet_resnet50_vd-int8-kl_divergence-1_3_736_1280/mod.so

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9f54e6d2dc627955283055639613fef61d65b469d5d31908d9d18488b1f7b875
+size 1182000

models/dbnet_resnet50_vd-int8-kl_divergence-1_3_736_1280/vamc.yaml

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+dataset:
+  path: ch4_test_images
+  sampler:
+    get_data_num: 1000
+    suffix: null
+  transform_ops:
+  - type: DecodeImage
+  - size:
+    - 736
+    - 1280
+    type: Resize
+  - mean:
+    - 0.485
+    - 0.456
+    - 0.406
+    std:
+    - 0.229
+    - 0.224
+    - 0.225
+    type: Normalize
+  - type: ToTensor
+engine:
+  add_extra_ops_to_graph:
+    type: null
+  calibration:
+    calibrate_mode: kl_divergence
+    nearest_interpol_on_dsp: true
+    quantize_dsp_ops:
+    - vacc_upsampling
+    - vacc_pixelshuffle
+    quantize_per_channel: true
+    stream_mode: false
+  common:
+    cluster_mode: 0
+    data_transport_mode: 1
+    nearest_interpol_on_dsp: true
+  dtype: int8
+  type: debug
+model:
+  checkpoint: dbnet_resnet50_vd.onnx
+  inputs:
+    input:
+    - 1
+    - 3
+    - 736
+    - 1280
+  name: dbnet_resnet50_vd
+workspace:
+  enable_ir: true
+  save_log: true
+  work_dir: ./deploy_weights/

models/resnet34_vd-int8-max-1_3_32_100-vacc/mod.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c04cdf125507116c88a73101147e4a44a26a21526184359c890b985bc8a81c87
+size 13882453

models/resnet34_vd-int8-max-1_3_32_100-vacc/mod.params

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ea859bdce4d6ca652ef144ce5d1bd6a18f999ab3b233964710ee2bd02f897c23
+size 246578507

models/resnet34_vd-int8-max-1_3_32_100-vacc/mod.so

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+version https://git-lfs.github.com/spec/v1
+oid sha256:575e78003172f81bc0dfeefec92288fdb13be1a765f10b995acce4fc2d4fba9b
+size 7497512

models/resnet34_vd-int8-max-1_3_32_100-vacc/vamc.yaml

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+dataset:
+  path: ./calib
+  sampler:
+    get_data_num: 1000
+    suffix: png
+  transform_ops:
+  - type: DecodeImage
+  - size:
+    - 32
+    - 100
+    type: Resize
+  - div255: true
+    mean:
+    - 0.5
+    - 0.5
+    - 0.5
+    std:
+    - 0.5
+    - 0.5
+    - 0.5
+    type: Normalize
+  - type: ToTensor
+engine:
+  add_extra_ops_to_graph:
+    type: null
+  calibration:
+    calibrate_mode: max
+    quantize_per_channel: true
+    stream_mode: true
+  common:
+    cluster_mode: 0
+    data_transport_mode: 1
+  dtype: int8
+  type: vacc
+model:
+  checkpoint: resnet34_vd.onnx
+  inputs:
+    x:
+    - 1
+    - 3
+    - 32
+    - 100
+  name: resnet34_vd
+workspace:
+  enable_ir: false
+  save_log: true
+  work_dir: ./deploy_weights/