IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
b5416ba verified
raw
history blame
10.9 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.2.2+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": "0",
"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": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.236096,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": "25912a6d02929e242ccb030ce6895e556366bb93",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"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": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 982.941696,
"max_global_vram": 2674.76992,
"max_process_vram": 49396.24448,
"max_reserved": 123.731968,
"max_allocated": 102.475264
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.625169921875,
"mean": 7.625169921875,
"stdev": 0.0,
"p50": 7.625169921875,
"p90": 7.625169921875,
"p95": 7.625169921875,
"p99": 7.625169921875,
"values": [
7.625169921875
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1841.389568,
"max_global_vram": 2807.136256,
"max_process_vram": 280038.54336,
"max_reserved": 148.897792,
"max_allocated": 113.516032
},
"latency": {
"unit": "s",
"count": 127,
"total": 0.9980044970512385,
"mean": 0.00785830312638771,
"stdev": 0.00045118876723858103,
"p50": 0.007933415889739991,
"p90": 0.008289766693115234,
"p95": 0.008516758728027343,
"p99": 0.008921064109802245,
"values": [
0.008476295471191407,
0.008476775169372558,
0.008566534042358399,
0.008533894538879394,
0.008445895195007325,
0.008370054244995118,
0.008316454887390136,
0.008271974563598633,
0.00768509578704834,
0.007523497104644775,
0.007573737144470215,
0.00769901704788208,
0.007516296863555908,
0.007288457870483399,
0.007509417057037353,
0.007471497058868408,
0.007296137809753418,
0.007933415889739991,
0.01013788890838623,
0.007327497959136963,
0.00746589708328247,
0.007312777996063232,
0.007368137836456299,
0.007653575897216797,
0.00761821699142456,
0.007640296936035156,
0.007603336811065673,
0.007567977905273438,
0.007865097045898438,
0.00799613618850708,
0.008013256072998047,
0.007994534969329834,
0.007997576236724854,
0.007998216152191161,
0.008009414672851562,
0.008005255699157715,
0.008033414840698243,
0.00801629638671875,
0.007964136123657227,
0.007998374938964844,
0.007978536128997803,
0.007993095874786377,
0.008002375602722168,
0.008008614540100097,
0.007989255905151368,
0.007992936134338378,
0.00802269458770752,
0.008105256080627442,
0.00791213607788086,
0.007810856819152832,
0.008025735855102538,
0.008072135925292968,
0.008065896034240723,
0.00807181453704834,
0.00810429573059082,
0.00819053554534912,
0.008575332641601563,
0.008342055320739747,
0.008085095405578613,
0.008057576179504394,
0.008001894950866699,
0.008059816360473633,
0.008044135093688965,
0.008080615997314453,
0.008055496215820312,
0.008107975006103515,
0.008059335708618163,
0.00804861545562744,
0.00808029556274414,
0.008097736358642579,
0.008094215393066406,
0.008065095901489258,
0.0076570968627929685,
0.007638697147369385,
0.007606057167053223,
0.008637733459472656,
0.008581414222717285,
0.008037575721740723,
0.008068775177001953,
0.008183014869689942,
0.008124135017395019,
0.008113575935363769,
0.008008455276489258,
0.009020612716674805,
0.008231655120849609,
0.007930856227874756,
0.007929736137390137,
0.007902376174926758,
0.007900936126708984,
0.007889575958251953,
0.008013575553894044,
0.007902535915374756,
0.007902696132659912,
0.007900617122650146,
0.007897895812988281,
0.007905416011810303,
0.007881095886230469,
0.008051815986633301,
0.0079306960105896,
0.007903495788574218,
0.007908616065979004,
0.007916935920715332,
0.007929416179656982,
0.00804141616821289,
0.007903495788574218,
0.00761389684677124,
0.007372616767883301,
0.007446378231048584,
0.0074814181327819826,
0.0075452570915222165,
0.007520456790924072,
0.007389097213745117,
0.007462216854095459,
0.007316617965698242,
0.007231497764587402,
0.00700317907333374,
0.007056777954101563,
0.007044939041137696,
0.007041897773742676,
0.007040459156036377,
0.007041418075561524,
0.0070463790893554685,
0.007045578002929687,
0.00703341817855835,
0.007025898933410645,
0.007025259017944336,
0.007024619102478027
]
},
"throughput": {
"unit": "samples/s",
"value": 127.25393560373868
},
"energy": null,
"efficiency": null
}
}
}