IlyasMoutawwakil
HF staff
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
b2896cb
verified
| { | |
| "config": { | |
| "name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.1+cu121", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "image-classification", | |
| "library": "timm", | |
| "model": "timm/resnet50.a1_in1k", | |
| "processor": "timm/resnet50.a1_in1k", | |
| "device": "cuda", | |
| "device_ids": "0", | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "model_kwargs": {}, | |
| "processor_kwargs": {}, | |
| "hub_kwargs": {}, | |
| "no_weights": false, | |
| "device_map": null, | |
| "torch_dtype": null, | |
| "eval_mode": true, | |
| "to_bettertransformer": false, | |
| "low_cpu_mem_usage": null, | |
| "attn_implementation": null, | |
| "cache_implementation": null, | |
| "autocast_enabled": false, | |
| "autocast_dtype": null, | |
| "torch_compile": false, | |
| "torch_compile_target": "forward", | |
| "torch_compile_config": {}, | |
| "quantization_scheme": null, | |
| "quantization_config": {}, | |
| "deepspeed_inference": false, | |
| "deepspeed_inference_config": {}, | |
| "peft_type": null, | |
| "peft_config": {} | |
| }, | |
| "scenario": { | |
| "name": "inference", | |
| "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", | |
| "iterations": 1, | |
| "duration": 1, | |
| "warmup_runs": 1, | |
| "input_shapes": { | |
| "batch_size": 1, | |
| "num_choices": 2, | |
| "sequence_length": 2 | |
| }, | |
| "new_tokens": null, | |
| "latency": true, | |
| "memory": true, | |
| "energy": true, | |
| "forward_kwargs": {}, | |
| "generate_kwargs": { | |
| "max_new_tokens": 2, | |
| "min_new_tokens": 2 | |
| }, | |
| "call_kwargs": { | |
| "num_inference_steps": 2 | |
| } | |
| }, | |
| "launcher": { | |
| "name": "process", | |
| "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", | |
| "device_isolation": true, | |
| "device_isolation_action": "error", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7R32", | |
| "cpu_count": 16, | |
| "cpu_ram_mb": 66697.293824, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "NVIDIA A10G" | |
| ], | |
| "gpu_count": 1, | |
| "gpu_vram_mb": 24146608128, | |
| "optimum_benchmark_version": "0.3.0", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.42.3", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.31.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.29.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.7", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 952.111104, | |
| "max_global_vram": 1047.003136, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 396.361728, | |
| "max_allocated": 253.912576 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 184, | |
| "total": 0.9984992289543151, | |
| "mean": 0.00542662624431693, | |
| "stdev": 0.00037195598595487627, | |
| "p50": 0.005361119985580445, | |
| "p90": 0.00542535662651062, | |
| "p95": 0.0055095298290252686, | |
| "p99": 0.007548794779777526, | |
| "values": [ | |
| 0.008167424201965333, | |
| 0.007643136024475097, | |
| 0.007529471874237061, | |
| 0.007491583824157715, | |
| 0.007206912040710449, | |
| 0.005641215801239013, | |
| 0.005379072189331055, | |
| 0.005344255924224854, | |
| 0.005387263774871826, | |
| 0.0053647360801696775, | |
| 0.00535756778717041, | |
| 0.00541593599319458, | |
| 0.005411839962005615, | |
| 0.005371903896331787, | |
| 0.0053504638671875, | |
| 0.005361663818359375, | |
| 0.0053606400489807126, | |
| 0.005369855880737305, | |
| 0.005359615802764893, | |
| 0.005392384052276611, | |
| 0.005338111877441406, | |
| 0.005319680213928223, | |
| 0.005305344104766845, | |
| 0.005283840179443359, | |
| 0.005275648117065429, | |
| 0.005325823783874512, | |
| 0.005351424217224121, | |
| 0.005355519771575928, | |
| 0.0053647360801696775, | |
| 0.00535756778717041, | |
| 0.005375999927520752, | |
| 0.005355519771575928, | |
| 0.005314559936523438, | |
| 0.005355423927307129, | |
| 0.005377024173736572, | |
| 0.00532480001449585, | |
| 0.005352447986602784, | |
| 0.005393439769744873, | |
| 0.0053350400924682614, | |
| 0.0053636798858642575, | |
| 0.005347328186035156, | |
| 0.005340159893035889, | |
| 0.00535756778717041, | |
| 0.005359615802764893, | |
| 0.005339136123657226, | |
| 0.005350399971008301, | |
| 0.005375999927520752, | |
| 0.005331967830657959, | |
| 0.005349376201629639, | |
| 0.005393407821655274, | |
| 0.005352447986602784, | |
| 0.005379072189331055, | |
| 0.005369855880737305, | |
| 0.005344255924224854, | |
| 0.00551529598236084, | |
| 0.005375999927520752, | |
| 0.0053821439743042, | |
| 0.0053842558860778805, | |
| 0.005343232154846191, | |
| 0.00536678409576416, | |
| 0.00537497615814209, | |
| 0.00536678409576416, | |
| 0.005328896045684814, | |
| 0.005291007995605469, | |
| 0.005251071929931641, | |
| 0.005281792163848877, | |
| 0.005319680213928223, | |
| 0.005274623870849609, | |
| 0.005282815933227539, | |
| 0.005336063861846924, | |
| 0.00537497615814209, | |
| 0.005369855880737305, | |
| 0.00536575984954834, | |
| 0.005375999927520752, | |
| 0.005344255924224854, | |
| 0.005385216236114502, | |
| 0.005353504180908203, | |
| 0.005356544017791748, | |
| 0.005368896007537842, | |
| 0.005329919815063477, | |
| 0.005372928142547607, | |
| 0.005336063861846924, | |
| 0.005390336036682129, | |
| 0.005369855880737305, | |
| 0.005346303939819336, | |
| 0.005336063861846924, | |
| 0.005362688064575195, | |
| 0.005329919815063477, | |
| 0.005349376201629639, | |
| 0.00536678409576416, | |
| 0.005333951950073242, | |
| 0.005329919815063477, | |
| 0.005350399971008301, | |
| 0.005340159893035889, | |
| 0.005371903896331787, | |
| 0.005379072189331055, | |
| 0.005339136123657226, | |
| 0.005354464054107666, | |
| 0.005344255924224854, | |
| 0.005345280170440674, | |
| 0.00535756778717041, | |
| 0.005497856140136719, | |
| 0.005436416149139404, | |
| 0.005645311832427978, | |
| 0.005488639831542969, | |
| 0.005506048202514649, | |
| 0.0055244798660278325, | |
| 0.005476352214813233, | |
| 0.0055101442337036136, | |
| 0.005494847774505616, | |
| 0.005386240005493164, | |
| 0.005452799797058106, | |
| 0.005391359806060791, | |
| 0.005414912223815918, | |
| 0.0054271998405456545, | |
| 0.005375904083251953, | |
| 0.0053678078651428224, | |
| 0.005412864208221436, | |
| 0.005368832111358642, | |
| 0.005392416000366211, | |
| 0.005404672145843506, | |
| 0.005369855880737305, | |
| 0.005384191989898681, | |
| 0.005377024173736572, | |
| 0.005342207908630371, | |
| 0.005362688064575195, | |
| 0.005342207908630371, | |
| 0.0053441920280456546, | |
| 0.005362688064575195, | |
| 0.00535756778717041, | |
| 0.005343232154846191, | |
| 0.005350368022918701, | |
| 0.005341184139251709, | |
| 0.00535756778717041, | |
| 0.00537395191192627, | |
| 0.005352447986602784, | |
| 0.00537395191192627, | |
| 0.005384191989898681, | |
| 0.0053309440612792965, | |
| 0.0053647360801696775, | |
| 0.005362688064575195, | |
| 0.005361599922180176, | |
| 0.005349376201629639, | |
| 0.005343232154846191, | |
| 0.005248991966247558, | |
| 0.0052705278396606445, | |
| 0.005280767917633057, | |
| 0.0052787518501281735, | |
| 0.005303296089172363, | |
| 0.0053002238273620605, | |
| 0.005318655967712403, | |
| 0.005361663818359375, | |
| 0.005383200168609619, | |
| 0.005351424217224121, | |
| 0.005375999927520752, | |
| 0.00538316822052002, | |
| 0.005348351955413819, | |
| 0.005365791797637939, | |
| 0.005368832111358642, | |
| 0.005350399971008301, | |
| 0.005345280170440674, | |
| 0.005344255924224854, | |
| 0.005352447986602784, | |
| 0.005381120204925537, | |
| 0.005326848030090332, | |
| 0.005325823783874512, | |
| 0.005384191989898681, | |
| 0.005342207908630371, | |
| 0.005345280170440674, | |
| 0.005379007816314697, | |
| 0.00536575984954834, | |
| 0.00535756778717041, | |
| 0.005378047943115235, | |
| 0.005352447986602784, | |
| 0.00535859203338623, | |
| 0.005377024173736572, | |
| 0.005325823783874512, | |
| 0.005371903896331787, | |
| 0.005368832111358642, | |
| 0.005327871799468994, | |
| 0.005481472015380859, | |
| 0.005421055793762207, | |
| 0.005355519771575928, | |
| 0.005403647899627686 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 184.2765569210256 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 6.342947182029186e-08, | |
| "ram": 3.4678259522541204e-08, | |
| "gpu": 1.3276897133690015e-07, | |
| "total": 2.308767026797332e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 4331316.189088064 | |
| } | |
| } | |
| } | |
| } |