{ "actions": { "get_raw_config": { "desc": "get raw config for repo widget", "for_web": "yes" }, "get_raw_data": { "desc": "get raw data for repo widget", "for_web": "yes" } }, "convolution_method_to_name": { "-1": "-", "0": "GEMM", "1": "DIRECT", "2": "WINOGRAD", "DEFAULT": "DEFAULT", "DIRECT": "DIRECT", "GEMM": "GEMM", "WINOGRAD": "WINOGRAD" }, "data_config": { "dimensions": [ { "key": "platform", "name": "Platform", "view_key": "platform" }, { "key": "library", "name": "Library", "view_key": "library" }, { "key": "dataset", "name": "Dataset", "view_key": "dataset" }, { "key": "model", "name": "Model", "view_key": "model" }, { "format": "%f", "key": "version", "name": "Version", "view_key": "version" }, { "format": "%.2f", "key": "multiplier", "name": "Multiplier", "view_key": "multiplier" }, { "format": "%f", "key": "resolution", "name": "Resolution", "view_key": "resolution" }, { "key": "batch_size", "name": "Batch size", "view_key": "batch_size" }, { "key": "batch_count", "name": "Batch count", "view_key": "batch_count" }, { "key": "convolution_method", "name": "Convolution method", "view_key": "convolution_method" }, { "key": "data_layout", "name": "Data layout", "view_key": "data_layout" }, { "key": "kernel_tuner", "name": "Kernel tuner", "view_key": "kernel_tuner" }, { "key": "tunerXlayout", "name": "Tuner X Layout", "view_key": "tunerXlayout" }, { "key": "methodXlayout", "name": "Method X Layout", "view_key": "methodXlayout" }, { "key": "methodXtuner", "name": "Method X Tuner", "view_key": "methodXtuner" }, { "format": "%.1f", "key": "rate_max_s", "name": "Image classification rate (maximum, per second)", "view_key": "rate_max_s" }, { "format": "%.1f", "key": "rate_max_s_w", "name": "Image classification efficiency (maximum, per second per Watt)", "view_key": "rate_max_s_w" }, { "format": "%.3f", "key": "time_min_ms", "name": "Image classification time (minimum, ms)", "view_key": "time_min_ms" }, { "format": "%.3f", "key": "time_avg_ms", "name": "Image classification time (average, ms)", "view_key": "time_avg_ms" }, { "format": "%.3f", "key": "accuracy_top1", "name": "Image classification accuracy (top 1)", "view_key": "accuracy_top1" }, { "format": "%.3f", "key": "accuracy_top5", "name": "Image classification accuracy (top 5)", "view_key": "accuracy_top5" } ], "selector": [], "selector2": [ { "key": "platform", "name": "Platform" }, { "key": "os_name", "name": "OS name (target)" }, { "key": "library", "name": "Library" }, { "key": "dataset", "name": "Dataset" }, { "key": "model", "name": "Model" }, { "format": "%f", "key": "version", "name": "Version" }, { "format": "%.2f", "key": "multiplier", "name": "Multiplier" }, { "format": "%f", "key": "resolution", "name": "Resolution" }, { "key": "batch_size", "name": "Batch size" }, { "key": "batch_count", "name": "Batch count" }, { "key": "convolution_method", "name": "Convolution method" }, { "key": "data_layout", "name": "Data layout" }, { "key": "kernel_tuner", "name": "Kernel tuner" }, { "key": "cpu_name", "name": "CPU name (target)" }, { "key": "gpgpu_name", "name": "GPGPU name" } ], "selector3": [ { "key": "plot_dimension1", "name": "Plot dimension 1 (X)" }, { "key": "plot_variation_dimension1", "name": "Show variation" }, { "key": "plot_dimension2", "name": "Plot dimension 2 (Y)" }, { "key": "plot_variation_dimension2", "name": "Show variation" } ], "table_view": [ { "key": "platform", "name": "Platform" }, { "key": "library", "name": "Library" }, { "key": "dataset", "name": "Dataset" }, { "key": "model", "name": "Model" }, { "format": "%f", "key": "version", "name": "Version", "view_key": "version" }, { "format": "%.2f", "key": "multiplier", "name": "Multiplier", "view_key": "multiplier" }, { "format": "%f", "key": "resolution", "name": "Resolution", "view_key": "resolution" }, { "key": "batch_size", "name": "Batch size" }, { "key": "batch_count", "name": "Batch count" }, { "key": "convolution_method", "name": "Convolution method" }, { "key": "data_layout", "name": "Data layout" }, { "key": "kernel_tuner", "name": "Kernel tuner" }, { "format": "%.1f", "key": "rate_max_s", "name": "Image classification rate (maximum, per second)", "view_key": "rate_max_s" }, { "format": "%.1f", "key": "rate_max_s_w", "name": "Image classification efficiency (maximum, per second per Watt)", "view_key": "rate_max_s_w" }, { "format": "%.3f", "key": "time_min_ms", "name": "Image classification time (minimum, ms)", "view_key": "time_min_ms" }, { "format": "%.3f", "key": "time_avg_ms", "name": "Image classification time (average, ms)", "view_key": "time_avg_ms" }, { "format": "%.3f", "key": "accuracy_top1", "name": "Image classification accuracy (top 1)", "view_key": "accuracy_top1" }, { "format": "%.3f", "key": "accuracy_top5", "name": "Image classification accuracy (top 5)", "view_key": "accuracy_top5" }, { "key": "os_name", "name": "OS name (target)" }, { "key": "cpu_name", "name": "CPU name (target)" }, { "key": "gpgpu_name", "name": "GPGPU name" }, { "key": "cpu_freq", "name": "CPU freq (MHz)" }, { "key": "gpu_freq", "name": "GPU freq (MHz)" } ] }, "desc": "Raw data (JSON) access for MLPerf MobilNets visualization widget", "platform_config": { "BLA-L09": { "gpu": "Mali-G72 MP12", "gpu_mhz": 767, "id": "huawei-mate10pro", "name": "Huawei Mate 10 Pro", "power_w": 7.93 }, "HiKey960\u0000": { "gpu": "Mali-G71 MP8", "gpu_mhz": 807, "id": "linaro-hikey960", "name": "Linaro HiKey960", "power_w": 9.51 }, "Rockchip RK3399 Firefly Board (Linux Opensource)\u0000": { "gpu": "Mali-T860 MP4", "gpu_mhz": 800, "id": "firefly-rk3399", "name": "Firefly RK3399", "power_w": 6.05 }, "SM-G950U1": { "gpu": "Adreno 540", "gpu_mhz": 710, "id": "samsung-galaxys8us", "name": "Samsung Galaxy S8 US", "power_w": 3.45 } }, "prefilter_config": { "all": {}, "highlights": { "convolution_method_deny": [ "GEMM", "DIRECT", "WINOGRAD" ], "data_layout_deny": [ "NCHW" ], "kernel_tuner_deny": [ "NONE" ] } } }