IlyasMoutawwakil
HF staff
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
516bfa0
verified
| { | |
| "config": { | |
| "name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.1+rocm5.7", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "image-classification", | |
| "library": "timm", | |
| "model_type": "resnet50", | |
| "model": "timm/resnet50.a1_in1k", | |
| "processor": "timm/resnet50.a1_in1k", | |
| "device": "cuda", | |
| "device_ids": "5", | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "model_kwargs": {}, | |
| "processor_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": 2, | |
| "sequence_length": 16, | |
| "num_choices": 2 | |
| }, | |
| "new_tokens": null, | |
| "memory": true, | |
| "latency": true, | |
| "energy": false, | |
| "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": "warn", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 128, | |
| "cpu_ram_mb": 1082014.490624, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.15.0-122-generic-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]" | |
| ], | |
| "gpu_count": 8, | |
| "gpu_vram_mb": 549621596160, | |
| "optimum_benchmark_version": "0.5.0.dev0", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.47.0", | |
| "transformers_commit": null, | |
| "accelerate_version": "1.2.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.31.0", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.12", | |
| "timm_commit": null, | |
| "peft_version": "0.14.0", | |
| "peft_commit": null | |
| }, | |
| "print_report": true, | |
| "log_report": true | |
| }, | |
| "report": { | |
| "load_model": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1141.223424, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 5995.196416, | |
| "max_reserved": 123.731968, | |
| "max_allocated": 102.475264 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.44613348388671875 | |
| ], | |
| "count": 1, | |
| "total": 0.44613348388671875, | |
| "mean": 0.44613348388671875, | |
| "p50": 0.44613348388671875, | |
| "p90": 0.44613348388671875, | |
| "p95": 0.44613348388671875, | |
| "p99": 0.44613348388671875, | |
| "stdev": 0, | |
| "stdev_": 0 | |
| }, | |
| "throughput": null, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1214.967808, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 88744.67328, | |
| "max_reserved": 148.897792, | |
| "max_allocated": 124.554752 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.008386370658874511, | |
| 0.0070916562080383305, | |
| 0.007063815116882324, | |
| 0.007099975109100342, | |
| 0.0070329360961914065, | |
| 0.007129254817962646, | |
| 0.007031816005706787, | |
| 0.007012615203857422, | |
| 0.0070966148376464845, | |
| 0.007124936103820801, | |
| 0.007078374862670898, | |
| 0.007017095088958741, | |
| 0.007045576095581055, | |
| 0.006995175838470459, | |
| 0.007040616035461426, | |
| 0.007003015995025634, | |
| 0.007000616073608398, | |
| 0.006983496189117431, | |
| 0.006986855030059814, | |
| 0.006971975803375244, | |
| 0.006980616092681885, | |
| 0.007040615081787109, | |
| 0.006982855796813965, | |
| 0.006968455791473389, | |
| 0.006975656032562256, | |
| 0.006996456146240234, | |
| 0.006997415065765381, | |
| 0.006999015808105469, | |
| 0.007004136085510254, | |
| 0.007002535820007324, | |
| 0.006992936134338379, | |
| 0.006975335121154785, | |
| 0.006970215797424317, | |
| 0.007283655166625977, | |
| 0.007022534847259522, | |
| 0.0070137357711792, | |
| 0.007009735107421875, | |
| 0.007026855945587158, | |
| 0.00700461483001709, | |
| 0.007023335933685303, | |
| 0.0070038151741027834, | |
| 0.0070121359825134275, | |
| 0.006999014854431152, | |
| 0.007028776168823242, | |
| 0.006993895053863526, | |
| 0.007015655994415284, | |
| 0.00699837589263916, | |
| 0.00697981595993042, | |
| 0.006979656219482422, | |
| 0.006973415851593018, | |
| 0.007010695934295655, | |
| 0.006989255905151367, | |
| 0.0069636549949646, | |
| 0.006976776123046875, | |
| 0.007000455856323242, | |
| 0.0069847750663757325, | |
| 0.0070084562301635745, | |
| 0.00735853385925293, | |
| 0.007019815921783447, | |
| 0.0070159749984741214, | |
| 0.007014535903930664, | |
| 0.006994054794311523, | |
| 0.007001416206359863, | |
| 0.00704605484008789, | |
| 0.007020455837249756, | |
| 0.006994056224822998, | |
| 0.007002376079559326, | |
| 0.007020936012268066, | |
| 0.006994854927062988, | |
| 0.007006855964660644, | |
| 0.006984135150909424, | |
| 0.007033895969390869, | |
| 0.007025575160980225, | |
| 0.00698141622543335, | |
| 0.0069778962135314945, | |
| 0.006980935096740723, | |
| 0.006982696056365967, | |
| 0.006970376014709473, | |
| 0.0069497361183166505, | |
| 0.0069833359718322755, | |
| 0.006975495815277099, | |
| 0.006981894969940185, | |
| 0.006951975822448731, | |
| 0.006964776039123535, | |
| 0.006948616027832031, | |
| 0.006964455127716065, | |
| 0.006963175773620605, | |
| 0.006979496002197266, | |
| 0.006965095043182373, | |
| 0.006966856002807617, | |
| 0.006951975822448731, | |
| 0.00695357608795166, | |
| 0.006955335140228272, | |
| 0.006959176063537598, | |
| 0.006956295967102051, | |
| 0.006979656219482422, | |
| 0.006950535774230957, | |
| 0.006979176044464111, | |
| 0.006944935798645019, | |
| 0.006985734939575195, | |
| 0.006962056159973144, | |
| 0.006984615802764892, | |
| 0.006942215919494629, | |
| 0.006960616111755371, | |
| 0.006969416141510009, | |
| 0.007024455070495606, | |
| 0.007007976055145263, | |
| 0.0070183749198913575, | |
| 0.00699181604385376, | |
| 0.0070465350151062015, | |
| 0.007018216133117676, | |
| 0.007005575180053711, | |
| 0.007023015975952149, | |
| 0.006990855216979981, | |
| 0.007000616073608398, | |
| 0.007000296115875244, | |
| 0.00700221586227417, | |
| 0.007016615867614746, | |
| 0.006987975120544433, | |
| 0.00698413610458374, | |
| 0.007003496170043946, | |
| 0.00701469612121582, | |
| 0.006985896110534668, | |
| 0.007005414962768555, | |
| 0.007002056121826172, | |
| 0.007005414962768555, | |
| 0.0069881358146667485, | |
| 0.006982696056365967, | |
| 0.007122535228729248, | |
| 0.007003334999084473, | |
| 0.007041096210479736, | |
| 0.007017735004425049, | |
| 0.0070090961456298825, | |
| 0.007051334857940674, | |
| 0.007048935890197754, | |
| 0.007028133869171143, | |
| 0.006998216152191162, | |
| 0.006989895820617676, | |
| 0.0069759759902954105, | |
| 0.006974215984344482, | |
| 0.006946695804595947, | |
| 0.006983495235443115 | |
| ], | |
| "count": 142, | |
| "total": 0.9961363792419429, | |
| "mean": 0.007015044924239038, | |
| "p50": 0.006998695373535156, | |
| "p90": 0.007046006965637207, | |
| "p95": 0.007096366906166077, | |
| "p99": 0.0073278335952758795, | |
| "stdev": 0.00012644739742112259, | |
| "stdev_": 1.8025172865851469 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 285.1015241669249 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |