rocm
/
cuda_inference_transformers_image-classification_google
/vit-base-patch16-224
/benchmark.json
IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
093b5cf
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2+rocm5.7", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "image-classification", | |
| "library": "transformers", | |
| "model": "google/vit-base-patch16-224", | |
| "processor": "google/vit-base-patch16-224", | |
| "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": true, | |
| "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": 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": "0.2.1", | |
| "optimum_benchmark_commit": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c", | |
| "transformers_version": "4.41.1", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.30.1", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.27.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.3", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1059.713024, | |
| "max_global_vram": 1758.097408, | |
| "max_process_vram": 166891.45856, | |
| "max_reserved": 406.847488, | |
| "max_allocated": 355.30752 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 143, | |
| "total": 0.9947590727806094, | |
| "mean": 0.00695635715231195, | |
| "stdev": 8.53418713140347e-05, | |
| "p50": 0.00692929220199585, | |
| "p90": 0.007066763973236084, | |
| "p95": 0.0071385719776153565, | |
| "p99": 0.007215010395050049, | |
| "values": [ | |
| 0.006909290790557862, | |
| 0.007017131805419922, | |
| 0.0070251312255859375, | |
| 0.00721473217010498, | |
| 0.007277132034301758, | |
| 0.007215211868286133, | |
| 0.007138731956481933, | |
| 0.007188332080841064, | |
| 0.007168171882629394, | |
| 0.007079211235046387, | |
| 0.007061131954193115, | |
| 0.007109931945800781, | |
| 0.006852810859680176, | |
| 0.006867530822753906, | |
| 0.006853611946105957, | |
| 0.00690385103225708, | |
| 0.0069216108322143555, | |
| 0.006884332180023193, | |
| 0.006865291118621826, | |
| 0.006848811149597168, | |
| 0.00682449197769165, | |
| 0.006863211154937744, | |
| 0.006948010921478271, | |
| 0.006954731941223144, | |
| 0.0069852910041809085, | |
| 0.006894251823425293, | |
| 0.006893130779266357, | |
| 0.006863050937652588, | |
| 0.006904652118682861, | |
| 0.006897450923919678, | |
| 0.0069123320579528805, | |
| 0.006872651100158692, | |
| 0.006947531223297119, | |
| 0.006851692199707032, | |
| 0.006892490863800049, | |
| 0.0070076918601989745, | |
| 0.006982090950012207, | |
| 0.00692929220199585, | |
| 0.006907210826873779, | |
| 0.006948491096496582, | |
| 0.0068593711853027345, | |
| 0.006888330936431885, | |
| 0.006941132068634033, | |
| 0.006924490928649902, | |
| 0.007012492179870606, | |
| 0.006917770862579346, | |
| 0.006914571762084961, | |
| 0.006894890785217285, | |
| 0.0069057707786560054, | |
| 0.006894251823425293, | |
| 0.006860970973968506, | |
| 0.006958891868591308, | |
| 0.006970410823822022, | |
| 0.00701889181137085, | |
| 0.006984011173248291, | |
| 0.006961132049560547, | |
| 0.007008330821990967, | |
| 0.007160811901092529, | |
| 0.007051692008972168, | |
| 0.007069291114807129, | |
| 0.007068171977996827, | |
| 0.007037131786346435, | |
| 0.007073451042175293, | |
| 0.007032651901245118, | |
| 0.007030251026153564, | |
| 0.0070328121185302735, | |
| 0.006911850929260254, | |
| 0.007042891979217529, | |
| 0.007018571853637696, | |
| 0.006896491050720215, | |
| 0.0070456118583679195, | |
| 0.006977450847625732, | |
| 0.006889770984649659, | |
| 0.006868331909179687, | |
| 0.006843211174011231, | |
| 0.007026412010192871, | |
| 0.006949450969696045, | |
| 0.006887371063232422, | |
| 0.0068902521133422856, | |
| 0.006916491031646729, | |
| 0.00688945198059082, | |
| 0.0069168109893798825, | |
| 0.007137132167816162, | |
| 0.007163211822509765, | |
| 0.00713153076171875, | |
| 0.0069740920066833495, | |
| 0.007016971111297608, | |
| 0.006969771862030029, | |
| 0.006954570770263672, | |
| 0.006880012035369873, | |
| 0.006881771087646485, | |
| 0.006889770984649659, | |
| 0.0069574518203735355, | |
| 0.006923370838165284, | |
| 0.006886251926422119, | |
| 0.006928811073303223, | |
| 0.006946091175079346, | |
| 0.0069563307762146, | |
| 0.006969931125640869, | |
| 0.0069483318328857424, | |
| 0.006984490871429444, | |
| 0.006914571762084961, | |
| 0.006976810932159424, | |
| 0.007034572124481201, | |
| 0.0069313721656799315, | |
| 0.007035211086273193, | |
| 0.006969771862030029, | |
| 0.0070139307975769045, | |
| 0.0070260920524597165, | |
| 0.0070208110809326174, | |
| 0.006894250869750976, | |
| 0.006953451156616211, | |
| 0.0069433717727661135, | |
| 0.00692241096496582, | |
| 0.006882731914520264, | |
| 0.00693281078338623, | |
| 0.006920650959014892, | |
| 0.006949131965637207, | |
| 0.0069070510864257815, | |
| 0.0069574518203735355, | |
| 0.006958090782165528, | |
| 0.006932332038879395, | |
| 0.006944331169128418, | |
| 0.006919371128082275, | |
| 0.006917931079864502, | |
| 0.0069096112251281734, | |
| 0.00692929220199585, | |
| 0.006927051067352295, | |
| 0.006955371856689453, | |
| 0.006894570827484131, | |
| 0.006887691020965576, | |
| 0.006908331871032715, | |
| 0.006910571098327637, | |
| 0.0069153718948364255, | |
| 0.006909770011901855, | |
| 0.0068593711853027345, | |
| 0.006881452083587646, | |
| 0.006851370811462402, | |
| 0.006916010856628418, | |
| 0.0069134521484375, | |
| 0.006899691104888916, | |
| 0.006880490779876709, | |
| 0.006927052021026611 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 143.75340111277197 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |