e2am: batch upload 7 files (53141 KB)
Browse files- runs/tiny_imagenet/deployment/M7_full_e2am/D0_fp32/metrics.json +14 -0
- runs/tiny_imagenet/deployment/M7_full_e2am/D0_fp32/model.pt +3 -0
- runs/tiny_imagenet/deployment/M7_full_e2am/D1_pruned_masked/metrics.json +14 -0
- runs/tiny_imagenet/deployment/M7_full_e2am/D1_pruned_masked/model.pt +3 -0
- runs/tiny_imagenet/deployment/M7_full_e2am/D2_pruned_finetuned/metrics.json +14 -0
- runs/tiny_imagenet/deployment/M7_full_e2am/D2_pruned_finetuned/model.pt +3 -0
- runs/tiny_imagenet/deployment/M7_full_e2am/deployment_metrics.csv +6 -0
runs/tiny_imagenet/deployment/M7_full_e2am/D0_fp32/metrics.json
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{
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"variant": "D0_fp32",
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"model_size_mb": 17.29814910888672,
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"num_parameters": 4491441,
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"nonzero_parameters": 4491441,
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"accuracy": 0.59140625,
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"n_images": 5120,
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"elapsed_sec": 13.661925792694092,
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"throughput_imgs_per_sec": 374.7641494830833,
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"latency_ms_per_image": 2.668344881385565,
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"energy_j": 984.1759855506042,
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"energy_per_inference_j": 0.1922218721778524,
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"device": "cuda:0"
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}
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runs/tiny_imagenet/deployment/M7_full_e2am/D0_fp32/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c7201600185c1dec764062176e50ab43cef18c6ea2cb6446fccfc191012fd57
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size 18138424
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runs/tiny_imagenet/deployment/M7_full_e2am/D1_pruned_masked/metrics.json
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{
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"variant": "D1_pruned_masked",
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"model_size_mb": 17.29814910888672,
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"num_parameters": 4491441,
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"nonzero_parameters": 2315233,
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"accuracy": 0.009765625,
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"n_images": 5120,
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"elapsed_sec": 12.211704969406128,
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"throughput_imgs_per_sec": 419.26987368488585,
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"latency_ms_per_image": 2.3850986268371344,
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"energy_j": 933.8722481701776,
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"energy_per_inference_j": 0.18239692347073783,
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"device": "cuda:0"
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}
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runs/tiny_imagenet/deployment/M7_full_e2am/D1_pruned_masked/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5b04e513985d819395b6842ff9a6073674f93fa724f231034bea92cee9f5d8a
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size 18138424
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runs/tiny_imagenet/deployment/M7_full_e2am/D2_pruned_finetuned/metrics.json
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{
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"variant": "D2_pruned_finetuned",
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"model_size_mb": 17.29814910888672,
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"num_parameters": 4491441,
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"nonzero_parameters": 4390737,
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"accuracy": 0.5265625,
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"n_images": 5120,
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"elapsed_sec": 15.739333152770996,
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"throughput_imgs_per_sec": 325.29967758504404,
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"latency_ms_per_image": 3.074088506400585,
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"energy_j": 1150.2867955704858,
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"energy_per_inference_j": 0.2246653897598605,
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"device": "cuda:0"
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}
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runs/tiny_imagenet/deployment/M7_full_e2am/D2_pruned_finetuned/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:29cfc96581d03d3b2c056d3b9c0e1ba7b97521f4d55e94cbde56cd7151ed442c
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size 18138424
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runs/tiny_imagenet/deployment/M7_full_e2am/deployment_metrics.csv
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accuracy,device,elapsed_sec,energy_j,energy_per_inference_j,error,latency_ms_per_image,model_size_mb,n_images,nonzero_parameters,num_parameters,throughput_imgs_per_sec,variant
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0.59140625,cuda:0,13.661925792694092,984.1759855506042,0.1922218721778524,,2.668344881385565,17.29814910888672,5120,4491441,4491441,374.7641494830833,D0_fp32
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0.009765625,cuda:0,12.211704969406128,933.8722481701776,0.18239692347073783,,2.3850986268371344,17.29814910888672,5120,2315233,4491441,419.26987368488585,D1_pruned_masked
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0.5265625,cuda:0,15.739333152770996,1150.2867955704858,0.2246653897598605,,3.074088506400585,17.29814910888672,5120,4390737,4491441,325.29967758504404,D2_pruned_finetuned
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,,,,,symbolically traced variables cannot be used as inputs to control flow,,,,,,,D3_int8_cpu_fx
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,,,,,symbolically traced variables cannot be used as inputs to control flow,,,,,,,D4_pruned_int8
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