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jsonObject: {"BPU OPs per frame (effective)":34492078080,"BPU OPs per run (effective)":206952468480,"BPU PE number":1,"BPU core number":1,"BPU march":"BAYES","DDR bytes per frame":17934784,"DDR bytes per run":107608704,"DDR bytes per second":4693316802,"DDR megabytes per frame":17.104,"DDR megabytes per run":102.624,"DDR megabytes per second":4475.9,"FPS":261.69,"HBDK version":"3.48.6","compiling options":"--march bayes -m compile_gkt/model.hbir -f hbir --O3 -o compile_gkt/model.hbm --jobs 4 -n bev_gkt_mixvargenet_multitask_nuscenes_model -i pyramid,ddr,ddr,ddr,ddr,ddr,ddr,ddr,ddr,ddr --input-name arg0[img],arg0[points0]_torch_native,arg0[points1]_torch_native,arg0[points2]_torch_native,arg0[points3]_torch_native,arg0[points4]_torch_native,arg0[points5]_torch_native,arg0[points6]_torch_native,arg0[points7]_torch_native,arg0[points8]_torch_native --output-layout NCHW --progressbar --debug","frame per run":6,"frame per second":261.69,"input features":[["input name","input size"],["arg0[img]","6x512x960x3"],["arg0[points0]_torch_native","6x64x64x2"],["arg0[points1]_torch_native","6x64x64x2"],["arg0[points2]_torch_native","6x64x64x2"],["arg0[points3]_torch_native","6x64x64x2"],["arg0[points4]_torch_native","6x64x64x2"],["arg0[points5]_torch_native","6x64x64x2"],["arg0[points6]_torch_native","6x64x64x2"],["arg0[points7]_torch_native","6x64x64x2"],["arg0[points8]_torch_native","6x64x64x2"]],"interval computing unit utilization":[0.413,0.999,0.999,0.957,0.998,0.957,0.999,0.998,0.938,1.0,1.0,1.0,1.0,0.968,0.948,0.926,0.788,0.962,0.957,0.876,0.791,0.634,0.575,0.708,0.684,0.613,0.754,0.584,0.794,0.493,0.511,0.493,0.644,0.569,0.67,0.986,0.888,0.999,0.824,0.984,0.98,0.977,0.982,0.975,0.983,0.811],"interval computing units utilization":[0.413,0.999,0.999,0.957,0.998,0.957,0.999,0.998,0.938,1.0,1.0,1.0,1.0,0.968,0.948,0.926,0.788,0.962,0.957,0.876,0.791,0.634,0.575,0.708,0.684,0.613,0.754,0.584,0.794,0.493,0.511,0.493,0.644,0.569,0.67,0.986,0.888,0.999,0.824,0.984,0.98,0.977,0.982,0.975,0.983,0.811],"interval loading bandwidth (megabytes/s)":[2349,1781,1117,1174,1253,1150,1185,1317,1325,1027,747,747,791,1367,2306,2582,2742,3719,4520,5070,6030,5252,4678,5423,5414,5540,5391,5441,5370,5295,5208,4747,4430,5027,5605,2938,960,903,1168,1155,409,373,414,414,457,378],"interval number":46,"interval storing bandwidth (megabytes/s)":[3172,1914,615,613,611,621,631,625,864,1141,1168,1168,1189,946,873,2429,4702,3822,2065,2314,2695,1443,2218,3489,2544,2324,2495,2429,2613,3337,3722,3908,2847,914,0,688,1042,867,927,1059,1162,1202,1329,1285,1226,1242],"interval time (ms)":0.5,"latency (ms)":22.93,"latency (ms) by segments":[22.928],"latency (us)":22928.1,"layer details":[["layer","ops","original output shape","aligned output shape","computing cost (no DDR)","load/store cost","active period of time"],["_backbone_mod1_0_hz_conv2d","1,274,019,840","[6,256,480,32]","[6,256,480,32]","205 us (0.8% of model)","685 us (2.9% of model)","317 ~ 3913 us (3596)"],["_backbone_mod2_0_head_layer_conv_0_0_hz_conv2d","27,179,089,920","[6,256,480,64]","[6,256,480,64]","1376 us (6.0% of model)","3 us (0% of model)","327 ~ 3944 us (3617)"],["_backbone_mod2_0_head_layer_short_add_hz_conv2d","3,019,898,880","[6,256,480,32]","[6,256,480,32]","329 us (1.4% of model)","1 us (0% of model)","333 ~ 3948 us (3615)"],["_backbone_mod3_0_head_layer_conv_0_0_hz_conv2d","13,589,544,960","[6,128,240,128]","[6,128,240,128]","849 us (3.7% of model)","5 us (0% of model)","338 ~ 3966 us (3628)"],["_backbone_mod3_0_head_layer_downsample_0_hz_conv2d","377,487,360","[6,128,240,32]","[6,128,240,32]","189 us (0.8% of model)","1 us (0% of model)","346 ~ 3964 us (3618)"],["_backbone_mod3_0_head_layer_short_add_hz_conv2d","1,509,949,440","[6,128,240,32]","[6,128,240,32]","82 us (0.3% of model)","1 us (0% of model)","347 ~ 3968 us (3621)"],["_backbone_mod3_0_stack_layers_0_conv_0_0_hz_conv2d","13,589,544,960","[6,128,240,128]","[6,128,240,128]","691 us (3.0% of model)","5 us (0% of model)","349 ~ 3999 us (3650)"],["_backbone_mod3_0_stack_layers_0_short_add_hz_conv2d","1,509,949,440","[6,128,240,32]","[6,128,240,32]","82 us (0.3% of model)","289 us (1.2% of model)","357 ~ 4004 us (3647)"],["_backbone_mod3_0_stack_layers_1_conv_0_0_hz_conv2d","13,589,544,960","[6,128,240,128]","[6,128,240,128]","691 us (3.0% of model)","292 us (1.2% of model)","3878 ~ 6663 us (2785)"],["_backbone_mod3_0_stack_layers_1_short_add_hz_conv2d","1,509,949,440","[6,128,240,32]","[6,128,240,32]","123 us (0.5% of model)","289 us (1.2% of model)","3948 ~ 6696 us (2748)"],["_backbone_mod4_0_head_layer_conv_0_0_hz_conv2d","3,397,386,240","[6,64,120,128]","[6,64,128,128]","228 us (0.9% of model)","5 us (0% of model)","3884 ~ 6698 us (2814)"],["_backbone_mod4_0_head_layer_downsample_0_hz_conv2d","188,743,680","[6,64,120,64]","[6,64,128,64]","54 us (0.2% of model)","1 us (0% of model)","3955 ~ 6698 us (2743)"],["_backbone_mod4_0_head_layer_short_add_hz_conv2d","754,974,720","[6,64,120,64]","[6,64,128,64]","44 us (0.1% of model)","2 us (0% of model)","3981 ~ 6701 us (2720)"],["_backbone_mod4_0_stack_layers_0_conv_0_0_hz_conv2d","13,589,544,960","[6,64,120,256]","[6,64,128,256]","734 us (3.2% of model)","17 us (0% of model)","3964 ~ 6768 us (2804)"],["_backbone_mod4_0_stack_layers_0_short_add_hz_conv2d","1,509,949,440","[6,64,120,64]","[6,64,128,64]","85 us (0.3% of model)","3 us (0% of model)","3984 ~ 6775 us (2791)"],["_backbone_mod4_0_stack_layers_1_conv_0_0_hz_conv2d","13,589,544,960","[6,64,120,256]","[6,64,128,256]","734 us (3.2% of model)","17 us (0% of model)","3987 ~ 6840 us (2853)"],["_backbone_mod4_0_stack_layers_1_short_add_hz_conv2d","1,509,949,440","[6,64,120,64]","[6,64,128,64]","106 us (0.4% of model)","307 us (1.3% of model)","4028 ~ 7122 us (3094)"],["_backbone_mod5_0_head_layer_conv_0_0_hz_conv2d","424,673,280","[6,32,60,128]","[6,32,64,128]","33 us (0.1% of model)","3 us (0% of model)","6663 ~ 7132 us (469)"],["_backbone_mod5_0_head_layer_downsample_0_hz_conv2d","141,557,760","[6,32,60,96]","[6,32,64,96]","31 us (0.1% of model)","2 us (0% of model)","6685 ~ 7129 us (444)"],["_backbone_mod5_0_head_layer_short_add_hz_conv2d","283,115,520","[6,32,60,96]","[6,32,64,96]","17 us (0% of model)","2 us (0% of model)","6686 ~ 7134 us (448)"],["_backbone_mod5_0_stack_layers_0_conv_0_0_hz_conv2d","637,009,920","[6,32,60,192]","[6,32,64,192]","42 us (0.1% of model)","4 us (0% of model)","6699 ~ 7144 us (445)"],["_backbone_mod5_0_stack_layers_0_short_add_hz_conv2d","424,673,280","[6,32,60,96]","[6,32,64,96]","24 us (0.1% of model)","3 us (0% of model)","6703 ~ 7148 us (445)"],["_backbone_mod5_0_stack_layers_1_conv_0_0_hz_conv2d","637,009,920","[6,32,60,192]","[6,32,64,192]","42 us (0.1% of model)","4 us (0% of model)","6706 ~ 7158 us (452)"],["_backbone_mod5_0_stack_layers_1_short_add_hz_conv2d","424,673,280","[6,32,60,96]","[6,32,64,96]","24 us (0.1% of model)","3 us (0% of model)","6776 ~ 7162 us (386)"],["_backbone_mod5_0_stack_layers_2_conv_0_0_hz_conv2d","637,009,920","[6,32,60,192]","[6,32,64,192]","42 us (0.1% of model)","4 us (0% of model)","6779 ~ 7172 us (393)"],["_backbone_mod5_0_stack_layers_2_short_add_hz_conv2d","424,673,280","[6,32,60,96]","[6,32,64,96]","24 us (0.1% of model)","3 us (0% of model)","6844 ~ 7174 us (330)"],["_backbone_mod5_0_stack_layers_3_conv_0_0_hz_conv2d","637,009,920","[6,32,60,192]","[6,32,64,192]","36 us (0.1% of model)","4 us (0% of model)","7122 ~ 7337 us (215)"],["_backbone_mod5_0_stack_layers_3_short_add_hz_conv2d","424,673,280","[6,32,60,96]","[6,32,64,96]","23 us (0.1% of model)","3 us (0% of model)","7136 ~ 7345 us (209)"],["_backbone_mod5_0_stack_layers_4_conv_0_0_hz_conv2d","637,009,920","[6,32,60,192]","[6,32,64,192]","36
gkt.zip （26个子文件） 
gkt 
上板fps.png 119KB float测试.png 98KB calib测试.png 100KB 上板latency.png 122KB onnx 
calibration-checkpoint-best.pth.tar 17.71MB float和int算子差异 2024-04-09 09-20-19屏幕截图.png 9KB 2024-04-09 09-24-00屏幕截图.png 5KB resize浮点模型中.png 6KB 2024-04-09 09-24-17屏幕截图.png 4KB 2024-04-09 09-24-45屏幕截图.png 47KB float.onnx 19.74MB float.onnx.png 8.54MB float-checkpoint-best.pth.tar 47.84MB int_infer-checkpoint-last.pth.tar 17.09MB qat.onnx 21.11MB int_infer.onnx 16.09MB qat.onnx.png 5.49MB int_infer.onnx.png 8.48MB int测试.png 101KB nusc_pred.png 726KB compile_gkt bev_gkt_mixvargenet_multitask_nuscenes_model.json 71KB
model.svg 383KB model.pt 18.13MB model.hbir 5MB model-26d1052d.hbm 8.13MB
bev_gkt_mixvargenet_multitask_nuscenes_model.html 2.19MB资源评论
