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E2AM-ResNet50
Model Details
- Architecture: ResNet-50
- Initialization: from scratch (
weights=None)
- Dataset source: Kaggle ImageFolder or Hugging Face dataset; no torchvision-hosted dataset download is used.
- Energy: NVIDIA-SMI GPU power sampling summed across visible GPUs.
Training Results
| run_id |
variant_name |
best_f1_score |
final_accuracy |
final_f1_score |
total_energy_j |
total_time_sec |
total_co2_kg |
num_parameters |
| cifar10/M2_amp_only |
M2_amp_only |
0.666577 |
0.673 |
0.666577 |
477292 |
3803.68 |
0.062976 |
23528522 |
| cifar10/M7_full_e2am |
M7_full_e2am |
0.683629 |
0.6851 |
0.683629 |
471771 |
3835.59 |
0.0622476 |
23528522 |
| cifar10/baseline_fixed |
baseline_fixed |
0.661276 |
0.6546 |
0.661276 |
1.02776e+06 |
7988.1 |
0.135608 |
23528522 |
Deployment Results
| variant |
accuracy |
f1_score |
latency_ms_per_image |
throughput_images_per_sec |
energy_per_inference_j |
sparsity_percent |
| fp32 |
0.689063 |
0.687344 |
4.46075 |
224.178 |
0.435256 |
0 |
| pruned |
0.103906 |
0.0257757 |
3.33544 |
299.81 |
0.323063 |
19.9062 |
| pruned_finetuned |
0.665365 |
0.664818 |
3.18521 |
313.951 |
0.301914 |
10.7355 |
| dynamic_linear_int8_cpu |
0.686198 |
0.684309 |
225.033 |
4.4438 |
nan |
0 |
Limitations
- Dynamic depth routing is not claimed in this ResNet-50 experiment.
- CPU INT8 energy is not GPU energy and is reported as unavailable.
