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"contents_url": "https://api.github.com/repos/microsoft/Olive/contents/components%2Fperf-test%2Fbuild_perf_test.py?ref=d22691847477bce0f3f2af4f7bf181b1b79f70e0", "patch": "@@ -27,11 +27,11 @@ def build_onnxruntime(onnxruntime_dir, config, build_args, build_name, args):\n \n copy(os.path.join(onnxruntime_dir, \"build/Windows\", config, config, \"onnxruntime_perf_test.exe\"), target_dir)\n copy(os.path.join(onnxruntime_dir, \"build/Windows\", config, config, \"onnxruntime.dll\"), target_dir)\n- if \"mkldnn\" in build_name:\n+ if \"--use_mkldnn\" in build_args:\n copy(os.path.join(onnxruntime_dir, \"build/Windows\", config, config, \"mkldnn.dll\"), target_dir)\n- if \"cuda\" in build_name or \"tensorrt\" == build_name:\n+ if args.use_cuda or args.use_tensorrt:\n copy(os.path.join(args.cudnn_home, \"bin/cudnn*.dll\"), target_dir)\n- if \"tensorrt\" in build_name:\n+ if args.use_tensorrt:\n copy(os.path.join(args.tensorrt_home, \"lib/nvinfer.dll\"), target_dir)\n else:\n build_env = os.environ.copy()\n@@ -47,19 +47,19 @@ def build_onnxruntime(onnxruntime_dir, config, build_args, build_name, args):\n copy(os.path.join(onnxruntime_dir, \"build/Linux\", config, \"onnxruntime_perf_test\"), target_dir)\n copy(os.path.join(onnxruntime_dir, \"build/Linux\", config, \"libonnxruntime.so*\"), target_dir)\n copy(os.path.join(onnxruntime_dir, \"build/Linux\", config, \"mklml/src/project_mklml/lib/*.so*\"), target_dir)\n- if \"mkldnn\" in build_name:\n+ if \"--use_mkldnn\" in build_args:\n copy(os.path.join(onnxruntime_dir, \"build/Linux\", config, \"mkl-dnn/install/lib/libmkldnn.so*\"), target_dir)\n- if \"cuda\" in build_name or \"tensorrt\" == build_name:\n+ if args.use_cuda or args.use_tensorrt:\n if is_windows():\n copy(os.path.join(args.cudnn_home, \"bin/cudnn*.dll\"), target_dir)\n else:\n copy(os.path.join(args.cudnn_home, \"lib64/libcudnn.so*\"), target_dir)\n- if \"tensorrt\" in build_name:\n+ if args.use_tensorrt:\n if is_windows():\n copy(os.path.join(args.tensorrt_home, \"lib/nvinfer.dll\"), target_dir)\n else:\n copy(os.path.join(args.tensorrt_home, \"lib/libnvinfer.so*\"), target_dir)\n- if \"ngraph\" in build_name:\n+ if args.use_ngraph:\n if is_windows():\n pass\n else:\n@@ -94,29 +94,32 @@ def parse_arguments():\n if __name__ == \"__main__\":\n args = parse_arguments()\n \n- build_onnxruntime(args.onnxruntime_home, args.config, [\"--parallel\"], \"cpu\", args)\n+ build_args = [\"--parallel\", \"--use_mkldnn\", \"--use_openmp\"]\n+ # build_onnxruntime(args.onnxruntime_home, args.config, [\"--parallel\"], \"cpu\", args)\n \n- build_onnxruntime(args.onnxruntime_home, args.config, [\"--use_openmp\", \"--parallel\"], \"cpu_openmp\", args)\n+ # build_onnxruntime(args.onnxruntime_home, args.config, [\"--use_openmp\", \"--parallel\"], \"cpu_openmp\", args)\n \n- build_onnxruntime(args.onnxruntime_home, args.config, [\"--use_mkldnn\", \"--parallel\"], \"mkldnn\", args)\n+ # build_onnxruntime(args.onnxruntime_home, args.config, [\"--use_mkldnn\", \"--parallel\"], \"mkldnn\", args)\n \n- build_onnxruntime(args.onnxruntime_home, args.config, [\"--use_mkldnn\", \"--use_openmp\", \"--parallel\"], \"mkldnn_openmp\", args)\n+ # build_onnxruntime(args.onnxruntime_home, args.config, [\"--use_mkldnn\", \"--use_openmp\", \"--parallel\"], \"mkldnn_openmp\", args)\n \n if args.use_mklml:\n- build_onnxruntime(args.onnxruntime_home, args.config, [\"--use_mkldnn\", \"--use_mklml\", \"--parallel\"], \"mkldnn_mklml\", args)\n+ build_onnxruntime(args.onnxruntime_home, args.config, [\"--use_mklml\", \"--parallel\"], \"mklml\", args)\n+ # build_args += [\"--use_mklml\"]\n \n if args.use_cuda:\n- build_args = [\"--use_cuda\", \"--parallel\"]\n+ # build_args = [\"--use_cuda\", \"--parallel\"]\n+ build_args += [\"--use_cuda\"]\n if args.cuda_version:\n build_args = build_args + [\"--cuda_version\", args.cuda_version]\n if args.cuda_home:\n build_args = build_args + [\"--cuda_home\", args.cuda_home]\n if args.cudnn_home:\n build_args = build_args + [\"--cudnn_home\", args.cudnn_home]\n- build_onnxruntime(args.onnxruntime_home, args.config, build_args, \"cuda\", args)\n+ # build_onnxruntime(args.onnxruntime_home, args.config, build_args, \"cuda\", args)\n \n if args.use_tensorrt:\n- build_args = [\"--use_tensorrt\", \"--use_full_protobuf\"]\n+ build_args += [\"--use_tensorrt\", \"--use_full_protobuf\"]\n if args.tensorrt_home:\n build_args = build_args + [\"--tensorrt_home\", args.tensorrt_home]\n if args.cuda_version:\n@@ -125,8 +128,10 @@ def parse_arguments():\n build_args = build_args + [\"--cuda_home\", args.cuda_home]\n if args.cudnn_home:\n build_args = build_args + [\"--cudnn_home\", args.cudnn_home]\n- build_onnxruntime(args.onnxruntime_home, args.config, build_args, \"tensorrt\", args)\n+ # build_onnxruntime(args.onnxruntime_home, args.config, build_args, \"tensorrt\", args)\n \n if args.use_ngraph:\n- build_args = [\"--use_ngraph\"]\n- build_onnxruntime(args.onnxruntime_home, args.config, build_args, \"ngraph\", args)\n+ build_args += [\"--use_ngraph\"]\n+ # build_onnxruntime(args.onnxruntime_home, args.config, build_args, \"ngraph\", args)\n+ \n+ build_onnxruntime(args.onnxruntime_home, args.config, build_args, \"all_eps\", args)"}, {"sha": "38573b9103030508cfc2f2d4d4cc2b5b51423d8b", "filename": "components/perf-test/perf_test.py", "status": "modified", "additions": 78, "deletions": 75, "changes": 153, "blob_url": "https://github.com/microsoft/Olive/blob/d22691847477bce0f3f2af4f7bf181b1b79f70e0/components%2Fperf-test%2Fperf_test.py", "raw_url": "https://github.com/microsoft/Olive/raw/d22691847477bce0f3f2af4f7bf181b1b79f70e0/components%2Fperf-test%2Fperf_test.py", "contents_url": "https://api.github.com/repos/microsoft/Olive/contents/components%2Fperf-test%2Fperf_test.py?ref=d22691847477bce0f3f2af4f7bf181b1b79f70e0", "patch": "@@ -363,7 +363,7 @@ def parse_arguments():\n bin_dir = os.path.join(os.path.dirname(__file__), \"bin\", args.config)\n build_dirs = os.listdir(bin_dir)\n \n- providers = [p for p in args.execution_provider.split(\",\") if p != \"\"] if len(args.execution_provider) > 0 else build_dirs\n+ providers = [p for p in args.execution_provider.split(\",\") if p != \"\"] if len(args.execution_provider) > 0 else [\"mklml\", \"cpu_openmp\", \"mkldnn\", \"mkldnn_openmp\", \"cpu\", \"tensorrt\", \"ngraph\", \"cuda\"]\n \n if len(GPUtil.getGPUs()) == 0:\n print(\"No GPU found on current device. Cuda and TensorRT performance tuning might not be available. \")\n@@ -377,86 +377,89 @@ def parse_arguments():\n successful = []\n failed = []\n # Loop for every pre-built execution provider\n- for build_name in build_dirs:\n- build_path = os.path.join(bin_dir, build_name)\n+ for build_name in providers:\n+ if \"mklml\" in build_name:\n+ build_path = os.path.join(bin_dir, build_name)\n+ else:\n+ build_path = os.path.join(bin_dir, \"all_eps\")\n if os.path.isdir(build_path):\n- # If current build is requested by user, run perf tuning\n- if build_name in providers: \n- test_args = []\n-\n- if \"mkldnn\" in build_name:\n- test_args = test_args + [\"-e\", \"mkldnn\"]\n- if \"cuda\" in build_name:\n- test_args = test_args + [\"-e\", \"cuda\"]\n- if \"tensorrt\" in build_name:\n- test_args = test_args + [\"-e\", \"tensorrt\"]\n- if \"ngraph\" in build_name:\n- test_args = test_args + [\"-e\", \"ngraph\"]\n- \n- env_vars = ep_envvar_map.get(build_name)\n- env_var_combos = get_env_var_combos(env_vars)\n- env_names = list(env_vars.keys()) if env_vars is not None else []\n- # Tune all possible combinations of environment variables, including defaults\n- for combo in env_var_combos:\n- # generate env var dict {env_var_name: env_var_option}. \n- env = gen_env_var_dict(env_names, combo)\n- env_option = \"\"\n- for e in env:\n- env_option += \"_\" + e + \"_\" + env.get(e)\n-\n- best_run = -1\n- is_omp = \"openmp\" in build_name\n- num_threads = int(args.num_threads) if is_omp else int(args.threadpool_size)\n- if args.parallel and \"cuda\" not in build_name and \"tensorrt\" not in build_name: \n- # Tune environment variables and thread pool size using parallel executor \n- best_run = run_perf_test_binary(\n- PerfTestParams(\n- build_name + \"_parallel_\",\n- build_name + \" \",\n- build_path,\n- test_args + [\"-P\"],\n- env,\n- args,\n- build_name,\n- ), num_threads, \"_threads\" + env_option, \" threads, \" + env_option, failed, successful, is_omp)\n- if best_run != None and best_run > 1:\n- # Run the best thread pool candidate with environment variable on sequential executor\n- param = PerfTestParams(\n- build_name + \"_\" + str(best_run) + \"_threads\" + env_option,\n- build_name + \" \" + str(best_run) + \" threads, \" + env_option,\n+ # # If current build is requested by user, run perf tuning\n+ # if build_name in providers: \n+ test_args = []\n+\n+ if \"mkldnn\" in build_name:\n+ test_args = test_args + [\"-e\", \"mkldnn\"]\n+ if \"cuda\" in build_name:\n+ test_args = test_args + [\"-e\", \"cuda\"]\n+ if \"tensorrt\" in build_name:\n+ test_args = test_args + [\"-e\", \"tensorrt\"]\n+ if \"ngraph\" in build_name:\n+ test_args = test_args + [\"-e\", \"ngraph\"]\n+ \n+ env_vars = ep_envvar_map.get(build_name)\n+ env_var_combos = get_env_var_combos(env_vars)\n+ env_names = list(env_vars.keys()) if env_vars is not None else []\n+ # Tune all possible combinations of environment variables, including defaults\n+ for combo in env_var_combos:\n+ # generate env var dict {env_var_name: env_var_option}. \n+ env = gen_env_var_dict(env_names, combo)\n+ env_option = \"\"\n+ for e in env:\n+ env_option += \"_\" + e + \"_\" + env.get(e)\n+\n+ best_run = -1\n+ is_omp = \"openmp\" in build_name\n+ num_threads = int(args.num_threads) if is_omp else int(args.threadpool_size)\n+ if args.parallel and \"cuda\" not in build_name and \"tensorrt\" not in build_name: \n+ # Tune environment variables and thread pool size using parallel executor \n+ best_run = run_perf_test_binary(\n+ PerfTestParams(\n+ build_name + \"_parallel_\",\n+ build_name + \" \",\n build_path,\n- test_args,\n+ test_args + [\"-P\"],\n env,\n- args, \n- build_name\n- )\n- if is_omp:\n- param.env.update({\"OMP_NUM_THREADS\": str(best_run)})\n- else:\n- param.test_args += [\"-x\", str(best_run)]\n- tests.append(param)\n- else:\n- # Tune environment variables and thread pool size using sequential executor\n- run_perf_test_binary(\n- PerfTestParams(\n- build_name + \"_\",\n- build_name + \" \",\n- build_path,\n- test_args,\n- env,\n- args,\n- build_name\n- ), num_threads, \"_threads\" + env_option, \" threads, \" + env_option, failed, successful, is_omp)\n- # Tune environment variables using sequential executor\n- params = PerfTestParams(\n- build_name + env_option,\n- build_name + \" \" + env_option,\n+ args,\n+ build_name,\n+ ), num_threads, \"_threads\" + env_option, \" threads, \" + env_option, failed, successful, is_omp)\n+ if best_run != None and best_run > 1:\n+ # Run the best thread pool candidate with environment variable on sequential executor\n+ param = PerfTestParams(\n+ build_name + \"_\" + str(best_run) + \"_threads\" + env_option,\n+ build_name + \" \" + str(best_run) + \" threads, \" + env_option,\n build_path,\n test_args,\n env,\n- args,\n- build_name)\n- tests.append(params) \n+ args, \n+ build_name\n+ )\n+ if is_omp:\n+ param.env.update({\"OMP_NUM_THREADS\": str(best_run)})\n+ else:\n+ param.test_args += [\"-x\", str(best_run)]\n+ tests.append(param)\n+ else:\n+ # Tune environment variables and thread pool size using sequential executor\n+ run_perf_test_binary(\n+ PerfTestParams(\n+ build_name + \"_\",\n+ build_name + \" \",\n+ build_path,\n+ test_args,\n+ env,\n+ args,\n+ build_name\n+ ), num_threads, \"_threads\" + env_option, \" threads, \" + env_option, failed, successful, is_omp)\n+ # Tune environment variables using sequential executor\n+ params = PerfTestParams(\n+ build_name + env_option,\n+ build_name + \" \" + env_option,\n+ build_path,\n+ test_args,\n+ env,\n+ args,\n+ build_name)\n+ tests.append(params) \n \n # Run the tests.\n for test in tests:"}]}} |
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