IlyasMoutawwakil
HF staff
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
b805653
verified
| { | |
| "config": { | |
| "name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.0.dev20231010+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": "6", | |
| "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": 1, | |
| "num_choices": 2, | |
| "sequence_length": 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": 1082015.256576, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.15.0-101-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": "0.4.0", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.44.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.34.2", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.30.3", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.9", | |
| "timm_commit": null, | |
| "peft_version": "0.12.0", | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "load": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1030.49216, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 50206.932992, | |
| "max_reserved": 123.731968, | |
| "max_allocated": 102.475264 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 8.5290244140625, | |
| "mean": 8.5290244140625, | |
| "stdev": 0.0, | |
| "p50": 8.5290244140625, | |
| "p90": 8.5290244140625, | |
| "p95": 8.5290244140625, | |
| "p99": 8.5290244140625, | |
| "values": [ | |
| 8.5290244140625 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1127.903232, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 101661.45024, | |
| "max_reserved": 148.897792, | |
| "max_allocated": 113.516032 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 143, | |
| "total": 1.0001759881973267, | |
| "mean": 0.006994237679701587, | |
| "stdev": 0.00030787697039219184, | |
| "p50": 0.006868657112121582, | |
| "p90": 0.007434609699249267, | |
| "p95": 0.00761064190864563, | |
| "p99": 0.007959318304061892, | |
| "values": [ | |
| 0.008035859107971192, | |
| 0.007455217838287354, | |
| 0.007172496795654297, | |
| 0.007172976970672608, | |
| 0.007140336990356445, | |
| 0.007039216041564942, | |
| 0.007054895877838135, | |
| 0.007076497077941894, | |
| 0.007046095848083496, | |
| 0.006988336086273193, | |
| 0.00701889705657959, | |
| 0.007016656875610351, | |
| 0.006968337059020996, | |
| 0.00693233585357666, | |
| 0.006906096935272217, | |
| 0.006880176067352295, | |
| 0.006868815898895263, | |
| 0.006878256797790527, | |
| 0.006910895824432373, | |
| 0.006915536880493164, | |
| 0.006864175796508789, | |
| 0.006881617069244385, | |
| 0.006903215885162354, | |
| 0.006868017196655273, | |
| 0.0068712158203125, | |
| 0.006917457103729248, | |
| 0.006880177021026611, | |
| 0.006941616058349609, | |
| 0.006944656848907471, | |
| 0.006965297222137451, | |
| 0.006930895805358887, | |
| 0.006925457000732422, | |
| 0.006921936988830566, | |
| 0.008985780715942382, | |
| 0.00785361909866333, | |
| 0.006829617023468018, | |
| 0.006801136016845703, | |
| 0.0068038558959960934, | |
| 0.0068078570365905765, | |
| 0.006930736064910889, | |
| 0.0067920169830322265, | |
| 0.006776495933532715, | |
| 0.0067891359329223635, | |
| 0.006796977043151855, | |
| 0.0067910561561584475, | |
| 0.006795216083526612, | |
| 0.006816176891326904, | |
| 0.006811535835266113, | |
| 0.006787856101989746, | |
| 0.006840016841888428, | |
| 0.006829775810241699, | |
| 0.0067947359085083, | |
| 0.006814577102661133, | |
| 0.006851056098937988, | |
| 0.0068275370597839355, | |
| 0.0068294558525085446, | |
| 0.006788976192474365, | |
| 0.0068273768424987795, | |
| 0.00681009578704834, | |
| 0.006801455974578857, | |
| 0.006797616958618164, | |
| 0.006786416053771973, | |
| 0.0068051362037658695, | |
| 0.006845777034759522, | |
| 0.0067059359550476075, | |
| 0.006809616088867187, | |
| 0.0068347368240356445, | |
| 0.006866096019744873, | |
| 0.0068283371925354, | |
| 0.006830895900726318, | |
| 0.006832816123962402, | |
| 0.006917616844177246, | |
| 0.006867695808410645, | |
| 0.00690337610244751, | |
| 0.006825935840606689, | |
| 0.006844016075134277, | |
| 0.006728015899658203, | |
| 0.006737936019897461, | |
| 0.006868657112121582, | |
| 0.006831056118011475, | |
| 0.006833296775817871, | |
| 0.006825776100158692, | |
| 0.006786896228790283, | |
| 0.006833137035369873, | |
| 0.006833615779876709, | |
| 0.006829616069793701, | |
| 0.006827695846557617, | |
| 0.006835375785827637, | |
| 0.00682353687286377, | |
| 0.0068784160614013675, | |
| 0.006836337089538574, | |
| 0.006839216232299805, | |
| 0.0068459358215332035, | |
| 0.006820176124572754, | |
| 0.0068809762001037595, | |
| 0.006776657104492188, | |
| 0.006860335826873779, | |
| 0.006841937065124512, | |
| 0.006850096225738525, | |
| 0.006875697135925293, | |
| 0.006828335762023926, | |
| 0.006827375888824463, | |
| 0.006809297084808349, | |
| 0.006884816169738769, | |
| 0.006758736133575439, | |
| 0.006850895881652832, | |
| 0.006840816020965576, | |
| 0.006844176769256592, | |
| 0.00679585599899292, | |
| 0.006785615921020508, | |
| 0.006748816967010498, | |
| 0.007565298080444336, | |
| 0.007580177783966064, | |
| 0.007624978065490722, | |
| 0.007609778881072998, | |
| 0.007168497085571289, | |
| 0.00700641679763794, | |
| 0.007009776115417481, | |
| 0.007164176940917969, | |
| 0.0076107378005981444, | |
| 0.0076382579803466796, | |
| 0.007606898784637451, | |
| 0.007664338111877441, | |
| 0.007597777843475342, | |
| 0.007633779048919678, | |
| 0.007352177143096924, | |
| 0.0071516971588134765, | |
| 0.007329458236694336, | |
| 0.007209617137908936, | |
| 0.007112017154693603, | |
| 0.007542898178100586, | |
| 0.00714337682723999, | |
| 0.007143537044525147, | |
| 0.007351857185363769, | |
| 0.00733073616027832, | |
| 0.007183856964111328, | |
| 0.0069094572067260746, | |
| 0.007138257026672363, | |
| 0.007119377136230468, | |
| 0.007099856853485107, | |
| 0.007047377109527588, | |
| 0.00685457706451416, | |
| 0.007020017147064209 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 142.97483811597687 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |