Upload paper_tables/deployment_results_table.csv with huggingface_hub

paper_tables/deployment_results_table.csv

@@ -1,6 +1,11 @@
 accuracy,device,elapsed_sec,energy_j,energy_per_inference_j,latency_ms_per_image,model_size_mb,n_images,nonzero_parameters,num_parameters,throughput_imgs_per_sec,variant,source
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-0.244140625,cpu,29.04035806655884,1128.2010081208891,0.4407035187972223,11.343889869749546,22.98953151702881,2560,0,0,88.15318303350897,D3_int8_cpu_fx,/kaggle/working/E2AM-ResNet50/runs/cifar10/deployment/M7_full_e2am/deployment_metrics.csv
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+0.87890625,cuda:0,4.581267356872559,321.9289851318971,0.0628767549085736,0.8947787806391716,90.02447986602783,5120,14293835,23520842,1117.5946743905406,D2_pruned_finetuned,/kaggle/working/E2AM-ResNet50/cifar10/deployment/M7_full_e2am/deployment_metrics.csv
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+0.9072265625,cuda:0,4.305285692214966,284.4457264579527,0.0555558059488188,0.8408761117607355,90.02447986602783,5120,23520842,23520842,1189.2358291711607,D0_fp32,/kaggle/working/E2AM-ResNet50/runs/cifar10/deployment/M7_full_e2am/deployment_metrics.csv
+0.1013671875,cuda:0,4.083631038665772,294.7073456271702,0.0575600284428066,0.7975841872394085,90.02447986602783,5120,11797226,23520842,1253.7861406971865,D1_pruned_masked,/kaggle/working/E2AM-ResNet50/runs/cifar10/deployment/M7_full_e2am/deployment_metrics.csv
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+0.1109375,cpu,28.41368532180786,1120.800268759759,0.437812604984281,11.099095828831196,22.98953151702881,2560,0,0,90.09742914394732,D4_pruned_int8,/kaggle/working/E2AM-ResNet50/runs/cifar10/deployment/M7_full_e2am/deployment_metrics.csv