Upload cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub

cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json

@@ -3,7 +3,7 @@
         "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
         "backend": {
             "name": "pytorch",
-            "version": "2.4.0+rocm6.1",
+            "version": "2.3.1+rocm5.7",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "image-classification",
             "library": "transformers",
@@ -71,7 +71,7 @@
             "name": "process",
             "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
             "device_isolation": true,
-            "device_isolation_action": "error",
+            "device_isolation_action": "warn",
             "numactl": false,
             "numactl_kwargs": {},
             "start_method": "spawn"
@@ -101,7 +101,7 @@
             "optimum_benchmark_commit": null,
             "transformers_version": "4.44.2",
             "transformers_commit": null,
-            "accelerate_version": "0.33.0",
+            "accelerate_version": "0.34.0",
             "accelerate_commit": null,
             "diffusers_version": "0.30.2",
             "diffusers_commit": null,
@@ -117,33 +117,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1964.109824,
-                "max_global_vram": 11.30496,
-                "max_process_vram": 0.0,
+                "max_ram": 1610.73152,
+                "max_global_vram": 68702.69952,
+                "max_process_vram": 335069.155328,
                 "max_reserved": 1935.671296,
-                "max_allocated": 1735.56736
+                "max_allocated": 1738.272256
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.8697332611083984,
-                "mean": 0.17394665222167968,
-                "stdev": 0.24885572298464578,
-                "p50": 0.04954221725463867,
-                "p90": 0.42297389221191406,
-                "p95": 0.5473158645629881,
-                "p99": 0.6467894424438476,
+                "total": 0.7597611045837401,
+                "mean": 0.15195222091674804,
+                "stdev": 0.22769725843595115,
+                "p50": 0.038413761138916015,
+                "p90": 0.3798797256469727,
+                "p95": 0.4936128059387206,
+                "p99": 0.5845992701721191,
                 "values": [
-                    0.6716578369140624,
-                    0.04954221725463867,
-                    0.04915469741821289,
-                    0.049947975158691406,
-                    0.04943053436279297
+                    0.6073458862304687,
+                    0.038680484771728516,
+                    0.0373886489868164,
+                    0.037932323455810546,
+                    0.038413761138916015
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 57.488890256168204
+                "value": 65.81016019159618
             },
             "energy": null,
             "efficiency": null
@@ -151,30 +151,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1964.109824,
-                "max_global_vram": 11.30496,
-                "max_process_vram": 0.0,
+                "max_ram": 1610.73152,
+                "max_global_vram": 68702.69952,
+                "max_process_vram": 335069.155328,
                 "max_reserved": 1935.671296,
-                "max_allocated": 1735.56736
+                "max_allocated": 1738.272256
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.7212000541687011,
-                "mean": 0.36060002708435057,
-                "stdev": 0.3110578098297119,
-                "p50": 0.36060002708435057,
-                "p90": 0.6094462749481201,
-                "p95": 0.6405520559310912,
-                "p99": 0.6654366807174682,
+                "total": 0.6460263710021972,
+                "mean": 0.3230131855010986,
+                "stdev": 0.28433270072937006,
+                "p50": 0.3230131855010986,
+                "p90": 0.5504793460845947,
+                "p95": 0.5789126161575316,
+                "p99": 0.6016592322158812,
                 "values": [
-                    0.6716578369140624,
-                    0.04954221725463867
+                    0.6073458862304687,
+                    0.038680484771728516
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 11.092622572278207
+                "value": 12.383395414012892
             },
             "energy": null,
             "efficiency": null
@@ -182,31 +182,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1964.109824,
-                "max_global_vram": 11.30496,
-                "max_process_vram": 0.0,
+                "max_ram": 1610.73152,
+                "max_global_vram": 68702.69952,
+                "max_process_vram": 335069.155328,
                 "max_reserved": 1935.671296,
-                "max_allocated": 1735.56736
+                "max_allocated": 1738.272256
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.14853320693969727,
-                "mean": 0.04951106897989909,
-                "stdev": 0.00032882291262318914,
-                "p50": 0.04943053436279297,
-                "p90": 0.04984448699951172,
-                "p95": 0.049896231079101565,
-                "p99": 0.04993762634277344,
+                "total": 0.11373473358154296,
+                "mean": 0.03791157786051432,
+                "stdev": 0.00041875730114130207,
+                "p50": 0.037932323455810546,
+                "p90": 0.03831747360229492,
+                "p95": 0.03836561737060547,
+                "p99": 0.038404132385253906,
                 "values": [
-                    0.04915469741821289,
-                    0.049947975158691406,
-                    0.04943053436279297
+                    0.0373886489868164,
+                    0.037932323455810546,
+                    0.038413761138916015
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 121.1850223317927
+                "value": 158.2629987618933
             },
             "energy": null,
             "efficiency": null