Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_config.json with huggingface_hub

cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_config.json

@@ -0,0 +1,96 @@
+{
+    "name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.3.0+cpu",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "fill-mask",
+        "model": "google-bert/bert-base-uncased",
+        "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": 16757.346304,
+        "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": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
+        "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
+    }
+}