Upload models

models/Setting-int8-max-1_3_1080_1920-vacc/vamc.yaml

@@ -0,0 +1,21 @@
+dataset:
+  path: X2
+  sampler: {get_data_num: 100, suffix: null}
+  transform_ops:
+  - {type: DecodeImage}
+  - size: [1080, 1920]
+    type: Resize
+  - {norm_type: None, type: Normalize}
+  - {type: ToTensor}
+engine:
+  add_extra_ops_to_graph: {type: null}
+  calibration: {calibrate_mode: max, quantize_per_channel: true, stream_mode: true}
+  common: {data_transport_mode: 1, enable_graph_partition: true}
+  dtype: int8
+  type: vacc
+model:
+  checkpoint: model_vastai_v2.torchscript.pt
+  inputs:
+    '0': [1, 3, 1080, 1920]
+  name: Setting
+workspace: {enable_ir: true, save_log: true, work_dir: ./}

models/facenet_casia-fp16-none-1_3_160_160-vacc/mod.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7dc21878c082245d8cf0352bcfa6a6242125fff365cfee0097af4fa72812d163
+size 1446340

models/facenet_casia-fp16-none-1_3_160_160-vacc/mod.params

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1842aae2b394cbec98a139897e57f81a86cc4e2c655823d62dc6f45d2e0339da
+size 70129890

models/facenet_casia-fp16-none-1_3_160_160-vacc/mod.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67581a2a53d0bc7e477757a8246860451bd27239eb4e91c46cb106ed98861d1e
+size 853896

models/facenet_casia-fp16-none-1_3_160_160-vacc/vamc.yaml

@@ -0,0 +1,24 @@
+dataset:
+  path: lfw_quant
+  sampler: {get_data_num: 100, suffix: null}
+  transform_ops:
+  - {type: DecodeImage}
+  - size: [160, 160]
+    type: Resize
+  - div255: false
+    mean: [127.5, 127.5, 127.5]
+    std: [128, 128, 128]
+    type: Normalize
+  - {type: ToTensor}
+engine:
+  add_extra_ops_to_graph: {type: null}
+  calibration: {calibrate_mode: percentile, quantize_per_channel: true}
+  common: {cluster_mode: 0, data_transport_mode: 1}
+  dtype: fp16
+  type: vacc
+model:
+  checkpoint: facenet_casia_webface-160.torchscript.pt
+  inputs:
+    input: [1, 3, 160, 160]
+  name: facenet_casia
+workspace: {enable_ir: false, save_log: true, work_dir: ./deploy_weights/}

models/log/vacl-2024_05_21_026258.log

@@ -0,0 +1,3 @@
+[20240521 16:22:32.351][INFO ][26258/26258]: TVM version: 1.6.1
+[20240521 16:22:32.408][INFO ][26258/26258]: Fixed model: Max batchSize: 1, set batchSize: 1
+[20240521 16:31:32.025][INFO ][26258/26258]: Graph runtime manager [0yolov5s_3_1024_1024-int8-kl_divergence-1_3_1024_1024-vacc-pipeline/mod.soyolov5s_3_1024_1024-int8-kl_divergence-1_3_1024_1024-vacc-pipeline/mod.jsonyolov5s_3_1024_1024-int8-kl_divergence-1_3_1024_1024-vacc-pipeline/mod.params]'s reference count was reduced to zero.

models/log/vacm-2024_05_21_026258.log

@@ -0,0 +1,9 @@
+[20240521 16:22:00.114][INFO ][26258/26258]: Initialize VACM logger success.
+[20240521 16:22:00.114][INFO ][26258/26258]: Total 1 device(s) found.
+[20240521 16:22:00.114][INFO ][26258/26258]: [26258/26258]: Initialize VACM API success: VACM API 2.4.0.206, Commit: sw_2_4:ec75f91, Built: Tue 19 Mar 2024 16:51:12.
+[20240521 16:22:00.114][INFO ][26258/26258]: RT version: libvaccrt.so 1.2.0  48858ca Tue 19 Mar 2024 16:35:42
+[20240521 16:22:00.115][INFO ][26258/26258]: Set device 0 success.
+[20240521 16:22:00.115][INFO ][26258/26258]: Loading OpInfo from /opt/vastai/vaststream/lib/op/vdsp_op on device 0 (RT)
+[20240521 16:22:00.134][INFO ][26258/26258]: 
+VDSP version: 1.3.1, git_hash=b757355, build_time=20231214_183532
+[20240521 16:22:00.134][INFO ][26258/26258]: Loaded OpInfo 0x1144210 on device 0.

models/log/vame-2024_05_21_026258.log

@@ -0,0 +1,3 @@
+[20240521 16:22:00.115][INFO ][26258/26258]: LL_DEC: VMPP Decoder Version: v2.6.3-fd46711-20240418_024313
+[20240521 16:22:00.115][INFO ][26258/26258]: LL_ENC: VMPP Encoder Version: v2.6.3-fd46711-20240418_024313
+[20240521 16:22:00.115][INFO ][26258/26258]: Initialize VAME API success: VAME API 2.4.0.206, Commit: sw_2_4:91fb653, Built: Thu 18 Apr 2024 18:35:31.

models/retinaface_resnet50-int8-kl_divergence-1_3_640_640-vacc-pipeline/mod.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3825ce0a262248b667a761598df07280f69bf690b84bbbabb66b34ac26acc53
+size 967502

models/retinaface_resnet50-int8-kl_divergence-1_3_640_640-vacc-pipeline/mod.params

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8baf2c6e219500f9c97f991868676cfe0e69fbaf7e3066078c0523f42d12469
+size 32268902

models/retinaface_resnet50-int8-kl_divergence-1_3_640_640-vacc-pipeline/mod.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9824154ada2e8afaa4ed25bdefc012f20ad5a9898d5d9eeaef396eb5f19d99cb
+size 1173544

models/retinaface_resnet50-int8-kl_divergence-1_3_640_640-vacc-pipeline/vamc.yaml

@@ -0,0 +1,32 @@
+dataset:
+  path: widerface_quant_images_305_calib
+  transform_ops:
+  - {type: DecodeImage}
+  - {code: COLOR_RGB2BGR, type: CvtColor}
+  - adaptive_side: long
+    size: [640, -1]
+    type: Resize
+  - {pad_to_square: true, type: Pad}
+  - div255: false
+    mean: [104, 117, 123]
+    std: [1, 1, 1]
+    type: Normalize
+  - {type: ToTensor}
+engine:
+  add_extra_ops_to_graph:
+    params:
+      anchor: [16, 32, 64, 128, 256, 512]
+      confidence_threshold: 0.02
+      nms_threshold: 0.4
+      num_classes: 1
+    type: retinaface_nms
+  calibration: {calibrate_mode: kl_divergence, stream_mode: true}
+  common: {cluster_mode: 0, data_transport_mode: 3}
+  dtype: int8
+  type: vacc
+model:
+  checkpoint: retinaface_resnet50-640.torchscript.pt
+  inputs:
+    input: [1, 3, 640, 640]
+  name: retinaface_resnet50
+workspace: {vis_relay: true, work_dir: ./deploy_weights/}

models/sdd_fiqa-int8-max-1_3_112_112-vacc/mod.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3705eecc49e794d51399c8051a44e83f609dc6cbb6a78592cad54246983b90de
+size 904394

models/sdd_fiqa-int8-max-1_3_112_112-vacc/mod.params

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b562f499a7076b9b2cad0a450ccd437355f77f0015def3700faa09716bc22d18
+size 41880334

models/sdd_fiqa-int8-max-1_3_112_112-vacc/mod.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:053faf54b7f11821ab33ecafe7e73ab3b09017a9f3f3ba0e670fd4f160df7e1c
+size 906408

models/sdd_fiqa-int8-max-1_3_112_112-vacc/vamc.yaml

@@ -0,0 +1,22 @@
+dataset:
+  path: ms1m_example
+  sampler: {suffix: jpg}
+  transform_ops:
+  - {type: DecodeImage}
+  - size: [112, 112]
+    type: Resize
+  - mean: [0.5, 0.5, 0.5]
+    std: [0.5, 0.5, 0.5]
+    type: Normalize
+  - {type: ToTensor}
+engine:
+  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: SDD_FIQA.onnx
+  inputs:
+    input: [1, 3, 112, 112]
+  name: sdd_fiqa
+workspace: {check_model: true, save_log: false, work_dir: ./deploy_weights/}

models/yolov5s_3_1024_1024-int8-kl_divergence-1_3_1024_1024-vacc-pipeline/mod.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e661f1380d506dae9d00d8585859da00532b2cb4fa3b0006a0d3a8eafa73f25
+size 884173

models/yolov5s_3_1024_1024-int8-kl_divergence-1_3_1024_1024-vacc-pipeline/mod.params

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50a9ec44f8af16d113e95e0164be50bf31baf41f0ee8efde68ac2072342af47b
+size 9498738

models/yolov5s_3_1024_1024-int8-kl_divergence-1_3_1024_1024-vacc-pipeline/mod.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ad5c46fdbada62b74d58062fec391adc204c9a3cb63417128fa08913fb74f0a
+size 931264

models/yolov5s_3_1024_1024-int8-kl_divergence-1_3_1024_1024-vacc-pipeline/vamc.yaml

@@ -0,0 +1,31 @@
+dataset:
+  path: widerface_quant_images_305_calib
+  sampler: {get_data_num: 50, suffix: jpg}
+  transform_ops:
+  - {type: DecodeImage}
+  - adaptive_side: long
+    size: [1024, -1]
+    type: Resize
+  - {pad_to_square: true, type: Pad}
+  - {div255: true, norm_type: null, type: Normalize}
+  - {type: ToTensor}
+engine:
+  add_extra_ops_to_graph:
+    params:
+      anchor: [10, 13, 16, 30, 33, 23, 30, 61, 62, 45, 59, 119, 116, 90, 156, 198,
+        373, 326]
+      confidence_threshold: 0.25
+      nms_threshold: 0.45
+      num_classes: 1
+      strides: [8, 16, 32]
+    type: yolov5_nms
+  calibration: {calibrate_mode: kl_divergence, quantize_per_channel: true, stream_mode: true}
+  common: {cluster_mode: 0, data_transport_mode: 3}
+  dtype: int8
+  type: vacc
+model:
+  checkpoint: yolov5s_3_1024_1024.torchscript.pt
+  inputs:
+    images: [1, 3, 1024, 1024]
+  name: yolov5s_3_1024_1024
+workspace: {enable_ir: false, save_log: true, work_dir: ./deploy_weights/}

models/yolov7-int8-percentile-1_3_640_640-vacc-pipeline/mod.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15408f23a63e5fa62a55053426a934fcc454ba34188164c67ff6b7e61c00375d
+size 729925

models/yolov7-int8-percentile-1_3_640_640-vacc-pipeline/mod.params

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ffd26ee31ae00f863efb380e3da371c4a51731ddbc2783becc6d84ea91c2da7
+size 7481286

models/yolov7-int8-percentile-1_3_640_640-vacc-pipeline/mod.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33da79d55420149b6a684b777a26537c6f89eedd70d150f596b33739a2e846c8
+size 927152

models/yolov7-int8-percentile-1_3_640_640-vacc-pipeline/vamc.yaml

@@ -0,0 +1,30 @@
+dataset:
+  path: det_coco_calib
+  sampler: {get_data_num: 1000, suffix: jpg}
+  transform_ops:
+  - {type: DecodeImage}
+  - adaptive_side: long
+    size: [640, -1]
+    type: Resize
+  - {pad_to_square: true, type: Pad}
+  - {norm_type: null, type: Normalize}
+  - {type: ToTensor}
+engine:
+  add_extra_ops_to_graph:
+    params:
+      anchor: [3, 11, 7, 7, 6, 17, 14, 12, 9, 24, 25, 20, 32, 32, 71, 27, 81, 75]
+      confidence_threshold: 0.001
+      nms_threshold: 0.65
+      num_classes: 1
+      strides: [8, 16, 32]
+    type: yolov5_nms
+  calibration: {calibrate_mode: percentile, quantize_per_channel: true, stream_mode: true}
+  common: {cluster_mode: 0, data_transport_mode: 3}
+  dtype: int8
+  type: vacc
+model:
+  checkpoint: plate_detection.onnx
+  inputs:
+    images: [1, 3, 640, 640]
+  name: yolov7
+workspace: {enable_ir: false, save_log: true, work_dir: ./deploy_weights}