Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub

cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json

@@ -0,0 +1,236 @@
+{
+    "config": {
+        "name": "cpu_inference_transformers_text-generation_openai-community/gpt2",
+        "backend": {
+            "name": "pytorch",
+            "version": "2.3.0+cpu",
+            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+            "task": "text-generation",
+            "model": "openai-community/gpt2",
+            "library": "transformers",
+            "device": "cpu",
+            "device_ids": null,
+            "seed": 42,
+            "inter_op_num_threads": null,
+            "intra_op_num_threads": null,
+            "hub_kwargs": {
+                "revision": "main",
+                "force_download": false,
+                "local_files_only": false,
+                "trust_remote_code": false
+            },
+            "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": true,
+            "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": false,
+            "device_isolation_action": "error",
+            "start_method": "spawn"
+        },
+        "environment": {
+            "cpu": " AMD EPYC 7763 64-Core Processor",
+            "cpu_count": 4,
+            "cpu_ram_mb": 16757.342208,
+            "system": "Linux",
+            "machine": "x86_64",
+            "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
+            "processor": "x86_64",
+            "python_version": "3.10.14",
+            "optimum_benchmark_version": "0.2.0",
+            "optimum_benchmark_commit": "62a285c19141f06dfefa3e3372c4d089bc6a2a7b",
+            "transformers_version": "4.40.2",
+            "transformers_commit": null,
+            "accelerate_version": "0.30.0",
+            "accelerate_commit": null,
+            "diffusers_version": "0.27.2",
+            "diffusers_commit": null,
+            "optimum_version": null,
+            "optimum_commit": null,
+            "timm_version": "0.9.16",
+            "timm_commit": null,
+            "peft_version": null,
+            "peft_commit": null
+        }
+    },
+    "report": {
+        "prefill": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 958.943232,
+                "max_global_vram": null,
+                "max_process_vram": null,
+                "max_reserved": null,
+                "max_allocated": null
+            },
+            "latency": {
+                "unit": "s",
+                "count": 13,
+                "total": 0.6204911969999785,
+                "mean": 0.04773009207692142,
+                "stdev": 0.0009133680248022937,
+                "p50": 0.0475830690000123,
+                "p90": 0.04884250680000264,
+                "p95": 0.04896724660000586,
+                "p99": 0.04901646292000919,
+                "values": [
+                    0.048926233000003094,
+                    0.04840851700001281,
+                    0.047442687000000205,
+                    0.048507602000000816,
+                    0.04719415299999241,
+                    0.046810287999988986,
+                    0.0475830690000123,
+                    0.047273870999987366,
+                    0.048422614999992675,
+                    0.04715296599999874,
+                    0.04902876700001002,
+                    0.048079754999974966,
+                    0.045660674000004065
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 41.9022866492027
+            },
+            "energy": {
+                "unit": "kWh",
+                "cpu": 1.8244317685714877e-06,
+                "ram": 7.624539440536698e-08,
+                "gpu": 0.0,
+                "total": 1.9006771629768547e-06
+            },
+            "efficiency": {
+                "unit": "tokens/kWh",
+                "value": 1052256.5530632173
+            }
+        },
+        "decode": {
+            "memory": {
+                "unit": "MB",
+                "max_ram": 958.943232,
+                "max_global_vram": null,
+                "max_process_vram": null,
+                "max_reserved": null,
+                "max_allocated": null
+            },
+            "latency": {
+                "unit": "s",
+                "count": 13,
+                "total": 0.3882265669999754,
+                "mean": 0.029863582076921184,
+                "stdev": 0.0007283825675714093,
+                "p50": 0.029798438999989685,
+                "p90": 0.030556406799996695,
+                "p95": 0.031099695599999675,
+                "p99": 0.03164168952000523,
+                "values": [
+                    0.029798438999989685,
+                    0.029936547000005476,
+                    0.02971778899998867,
+                    0.03002830799999856,
+                    0.029664007999997466,
+                    0.02983449600000654,
+                    0.0294206250000002,
+                    0.02939688099999671,
+                    0.030189898000003268,
+                    0.029199772999987772,
+                    0.03064803399999505,
+                    0.03177718800000662,
+                    0.02861458099999936
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 33.48560120565068
+            },
+            "energy": {
+                "unit": "kWh",
+                "cpu": 1.0716519572518082e-06,
+                "ram": 4.478705194024805e-08,
+                "gpu": 0.0,
+                "total": 1.1164390091920568e-06
+            },
+            "efficiency": {
+                "unit": "tokens/kWh",
+                "value": 895704.9975561842
+            }
+        },
+        "per_token": {
+            "memory": null,
+            "latency": {
+                "unit": "s",
+                "count": 12,
+                "total": 0.9303966850000052,
+                "mean": 0.07753305708333376,
+                "stdev": 0.001510353011715292,
+                "p50": 0.07709178250000548,
+                "p90": 0.07956558189999896,
+                "p95": 0.0797690607999968,
+                "p99": 0.07986273855999429,
+                "values": [
+                    0.07855636799999388,
+                    0.0771555060000253,
+                    0.07857870899999853,
+                    0.07688182599997617,
+                    0.07662799300001666,
+                    0.07702805899998566,
+                    0.07669302400000788,
+                    0.07859653299999536,
+                    0.07640625900000941,
+                    0.07967325399999936,
+                    0.07988615799999366,
+                    0.0743129960000033
+                ]
+            },
+            "throughput": {
+                "unit": "tokens/s",
+                "value": 12.897724372265937
+            },
+            "energy": null,
+            "efficiency": null
+        }
+    }
+}