IlyasMoutawwakil
HF staff
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
49fd1ac
verified
| { | |
| "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": "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": 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": 1082015.256576, | |
| "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": "0.33.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.30.1", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.9", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "load": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 987.303936, | |
| "max_global_vram": 409.141248, | |
| "max_process_vram": 49565.564928, | |
| "max_reserved": 123.731968, | |
| "max_allocated": 102.475264 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 8.2701240234375, | |
| "mean": 8.2701240234375, | |
| "stdev": 0.0, | |
| "p50": 8.2701240234375, | |
| "p90": 8.2701240234375, | |
| "p95": 8.2701240234375, | |
| "p99": 8.2701240234375, | |
| "values": [ | |
| 8.2701240234375 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1069.686784, | |
| "max_global_vram": 514.51904, | |
| "max_process_vram": 123024.658432, | |
| "max_reserved": 148.897792, | |
| "max_allocated": 113.516032 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 125, | |
| "total": 0.998878162384033, | |
| "mean": 0.007991025299072268, | |
| "stdev": 0.0003360469468477057, | |
| "p50": 0.00806285858154297, | |
| "p90": 0.008239435386657714, | |
| "p95": 0.008308937835693359, | |
| "p99": 0.009082983703613285, | |
| "values": [ | |
| 0.008257739067077637, | |
| 0.008541257858276367, | |
| 0.00925405502319336, | |
| 0.008036938667297364, | |
| 0.008029739379882812, | |
| 0.008078858375549317, | |
| 0.008031498908996583, | |
| 0.00800877857208252, | |
| 0.008222217559814454, | |
| 0.008060938835144043, | |
| 0.008044618606567383, | |
| 0.008064619064331055, | |
| 0.0082183780670166, | |
| 0.008087339401245118, | |
| 0.008104297637939453, | |
| 0.008090378761291504, | |
| 0.008128778457641601, | |
| 0.00811293888092041, | |
| 0.008094697952270509, | |
| 0.00806285858154297, | |
| 0.008157578468322754, | |
| 0.008048459053039551, | |
| 0.0080492582321167, | |
| 0.008037259101867675, | |
| 0.008087498664855957, | |
| 0.008016298294067383, | |
| 0.00816477870941162, | |
| 0.008029579162597656, | |
| 0.008090218544006348, | |
| 0.008024298667907714, | |
| 0.008192458152770997, | |
| 0.008090378761291504, | |
| 0.008164937973022462, | |
| 0.008175018310546876, | |
| 0.008164459228515625, | |
| 0.008178057670593262, | |
| 0.008063018798828125, | |
| 0.008044777870178222, | |
| 0.008062699317932128, | |
| 0.008088458061218261, | |
| 0.00804749870300293, | |
| 0.00804173755645752, | |
| 0.00813101863861084, | |
| 0.008126697540283202, | |
| 0.008095499038696288, | |
| 0.008076778411865234, | |
| 0.008072938919067383, | |
| 0.007984619140625, | |
| 0.008263177871704101, | |
| 0.008087657928466796, | |
| 0.008123019218444823, | |
| 0.008343338012695312, | |
| 0.008319177627563477, | |
| 0.008312137603759765, | |
| 0.008123177528381348, | |
| 0.008223817825317383, | |
| 0.008174538612365723, | |
| 0.008150378227233886, | |
| 0.00819821834564209, | |
| 0.008184139251708984, | |
| 0.008161258697509766, | |
| 0.008123337745666504, | |
| 0.00824109935760498, | |
| 0.008296138763427734, | |
| 0.008278698921203613, | |
| 0.008236939430236817, | |
| 0.00820973777770996, | |
| 0.008194538116455078, | |
| 0.0080162992477417, | |
| 0.008200138092041016, | |
| 0.008255658149719238, | |
| 0.00763293981552124, | |
| 0.007768620014190674, | |
| 0.008005099296569824, | |
| 0.008048619270324707, | |
| 0.00799661922454834, | |
| 0.0075612602233886715, | |
| 0.007589739799499512, | |
| 0.007956618785858155, | |
| 0.008115818977355957, | |
| 0.009474695205688477, | |
| 0.008476297378540039, | |
| 0.008098379135131836, | |
| 0.008074538230895996, | |
| 0.00808285903930664, | |
| 0.008073418617248536, | |
| 0.008027178764343262, | |
| 0.00803053855895996, | |
| 0.008067978858947753, | |
| 0.008050539016723634, | |
| 0.008022059440612793, | |
| 0.008013898849487305, | |
| 0.007919339179992676, | |
| 0.007910539150238037, | |
| 0.008087338447570801, | |
| 0.007955338954925537, | |
| 0.00804301929473877, | |
| 0.008058697700500488, | |
| 0.007655020236968994, | |
| 0.007649740219116211, | |
| 0.007433420181274414, | |
| 0.007969419002532958, | |
| 0.008068458557128906, | |
| 0.007917579174041747, | |
| 0.007261580944061279, | |
| 0.007673739910125732, | |
| 0.007571660995483399, | |
| 0.0074979009628295895, | |
| 0.0076242990493774416, | |
| 0.007354540824890137, | |
| 0.007507180213928223, | |
| 0.007406859874725342, | |
| 0.007423501014709472, | |
| 0.007422699928283692, | |
| 0.007463500022888183, | |
| 0.0074969401359558105, | |
| 0.007519179821014404, | |
| 0.007549900054931641, | |
| 0.007621099948883056, | |
| 0.007589900016784668, | |
| 0.007455019950866699, | |
| 0.007247021198272705, | |
| 0.007203499794006348, | |
| 0.007244941234588623, | |
| 0.007153740882873535 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 125.14038719363043 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |