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How to use clear_dmesg method in avocado

Best Python code snippet using avocado_python

run

Source:run

...64    print("Clearing page cache ...")65    subprocess.check_call([66        os.path.join(CWD, '../../../scripts/drop-caches'),67    ])68def clear_dmesg():69    print("Clearing dmesg ...")70    subprocess.check_call([71        'dmesg',72        '-C',73    ])74def sync_fs():75    print("Sync ...")76    subprocess.check_call([77        'sync',78    ])79    clear_cache()80def dump_dmesg(args):81    print("Dumping dmesg ...")82    subprocess.call(83        ['dmesg', '-t',],84        stdout = args.log,85        stderr = args.log,86    )87def run_c3d_original(args, caffe_bin):88    load_original_driver()89    data_folder = os.path.abspath(args.dfolder)90    prototxt_root_folder = os.path.join(CWD, '..', 'examples', 'c3d_ucf101_training')91    template_file_path = os.path.join(prototxt_root_folder, 'train_simple.prototxt.template')92    prototxt_file_path = os.path.join(prototxt_root_folder, 'train_simple.prototxt')93    with open(os.path.join(args.rfolder, 'result-original.data'), 'w') as result_file:94        result_file.write('length,total_time (s)\n')95        with open(template_file_path, 'r') as f:96            template_content = f.read()97            template_content = template_content.replace('{{ INPUT_LAYER_TYPE }}', 'DragonFreadData')98            for length in (12, 24, 36, 48, 60, 72, 84,):99                print('Benchmarking C3D original with video length {} ...'.format(length))100                prototxt_content = template_content.replace('{{ LENGTH }}', str(length))101                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_DATA }}', os.path.join(data_folder, 'c3d-train-data-{}.mem'.format(length)))102                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_LABEL }}', os.path.join(data_folder, 'c3d-train-label-{}.mem'.format(length)))103                with open(prototxt_file_path, 'w') as g:104                    g.write(prototxt_content)105                clear_dmesg()106                clear_cache()107                start_timestamp = datetime.datetime.now()108                retcode = subprocess.call(109                    [caffe_bin, 'train', '--solver=solver.prototxt',],110                    cwd = prototxt_root_folder,111                    stdout = args.log,112                    stderr = args.log113                )114                end_timestamp = datetime.datetime.now()115                if retcode == 0:116                    print('Success. Writing result ...')117                    result_file.write('{},{}\n'.format(length, (end_timestamp - start_timestamp).total_seconds()))118                else:119                    print('Fail. Maybe due to out-of-memory')120def run_c3d_uvm(args, caffe_bin):121    load_original_driver()122    data_folder = os.path.abspath(args.dfolder)123    prototxt_root_folder = os.path.join(CWD, '..', 'examples', 'c3d_ucf101_training')124    template_file_path = os.path.join(prototxt_root_folder, 'train_simple.prototxt.template')125    prototxt_file_path = os.path.join(prototxt_root_folder, 'train_simple.prototxt')126    with open(os.path.join(args.rfolder, 'result-uvm.data'), 'w') as result_file:127        result_file.write('length,total_time (s)\n')128        with open(template_file_path, 'r') as f:129            template_content = f.read()130            template_content = template_content.replace('{{ INPUT_LAYER_TYPE }}', 'DragonFreadData')131            for length in (12, 24, 36, 48, 60, 72, 84,):132                print('Benchmarking C3D UVM with video length {} ...'.format(length))133                prototxt_content = template_content.replace('{{ LENGTH }}', str(length))134                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_DATA }}', os.path.join(data_folder, 'c3d-train-data-{}.mem'.format(length)))135                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_LABEL }}', os.path.join(data_folder, 'c3d-train-label-{}.mem'.format(length)))136                with open(prototxt_file_path, 'w') as g:137                    g.write(prototxt_content)138                clear_dmesg()139                clear_cache()140                start_timestamp = datetime.datetime.now()141                retcode = subprocess.call(142                    [caffe_bin, 'train', '--solver=solver.prototxt', '--enable_uvm=true',],143                    cwd = prototxt_root_folder,144                    stdout = args.log,145                    stderr = args.log146                )147                end_timestamp = datetime.datetime.now()148                if retcode == 0:149                    print('Success. Writing result ...')150                    result_file.write('{},{}\n'.format(length, (end_timestamp - start_timestamp).total_seconds()))151                else:152                    print('Fail. Maybe due to out-of-memory')153def run_c3d_nvmgpu(args, caffe_bin):154    load_nvmgpu_driver()155    data_folder = os.path.abspath(args.dfolder)156    data_tmp_folder = os.path.join(data_folder, 'tmp')157    if not os.path.exists(data_tmp_folder):158        os.mkdir(data_tmp_folder)159    prototxt_root_folder = os.path.join(CWD, '..', 'examples', 'c3d_ucf101_training')160    template_file_path = os.path.join(prototxt_root_folder, 'train_simple.prototxt.template')161    prototxt_file_path = os.path.join(prototxt_root_folder, 'train_simple.prototxt')162    with open(os.path.join(args.rfolder, 'result-dragon.data'), 'w') as result_file:163        result_file.write('length,total_time (s)\n')164        with open(template_file_path, 'r') as f:165            template_content = f.read()166            template_content = template_content.replace('{{ INPUT_LAYER_TYPE }}', 'DragonData')167            for length in (12, 24, 36, 48, 60, 72, 84,):168                print('Benchmarking C3D DRAGON with video length {} ...'.format(length))169                prototxt_content = template_content.replace('{{ LENGTH }}', str(length))170                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_DATA }}', os.path.join(data_folder, 'c3d-train-data-{}.mem'.format(length)))171                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_LABEL }}', os.path.join(data_folder, 'c3d-train-label-{}.mem'.format(length)))172                with open(prototxt_file_path, 'w') as g:173                    g.write(prototxt_content)174                clear_dmesg()175                clear_cache()176                start_timestamp = datetime.datetime.now()177                retcode = subprocess.call(178                    [caffe_bin, 'train', '--solver=solver.prototxt', '--enable_dragon=true', '--dragon_tmp_folder={}'.format(data_tmp_folder)],179                    cwd = prototxt_root_folder,180                    stdout = args.log,181                    stderr = args.log182                )183                end_timestamp = datetime.datetime.now()184                dump_dmesg(args)185                if retcode == 0:186                    print('Success. Writing result ...')187                    result_file.write('{},{}\n'.format(length, (end_timestamp - start_timestamp).total_seconds()))188                else:189                    raise Exception('Fail. This should never happen!!!')190def run_c3d_cpu(args, caffe_bin):191    load_original_driver()192    data_folder = os.path.abspath(args.dfolder)193    data_tmp_folder = os.path.join(data_folder, 'tmp')194    if not os.path.exists(data_tmp_folder):195        os.mkdir(data_tmp_folder)196    prototxt_root_folder = os.path.join(CWD, '..', 'examples', 'c3d_ucf101_training')197    template_file_path = os.path.join(prototxt_root_folder, 'train_simple.prototxt.template')198    prototxt_file_path = os.path.join(prototxt_root_folder, 'train_simple.prototxt')199    with open(os.path.join(args.rfolder, 'result-cpu.data'), 'w') as result_file:200        result_file.write('length,total_time (s)\n')201        with open(template_file_path, 'r') as f:202            template_content = f.read()203            template_content = template_content.replace('{{ INPUT_LAYER_TYPE }}', 'DragonMmapData')204            for length in (12, 24, 36, 48, 60, 72, 84,):205                print('Benchmarking C3D CPU with video length {} ...'.format(length))206                prototxt_content = template_content.replace('{{ LENGTH }}', str(length))207                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_DATA }}', os.path.join(data_folder, 'c3d-train-data-{}.mem'.format(length)))208                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_LABEL }}', os.path.join(data_folder, 'c3d-train-label-{}.mem'.format(length)))209                with open(prototxt_file_path, 'w') as g:210                    g.write(prototxt_content)211                clear_dmesg()212                clear_cache()213                start_timestamp = datetime.datetime.now()214                retcode = subprocess.call(215                    [caffe_bin, 'train', '--solver=solver_cpu.prototxt', '--enable_mmap=true', '--dragon_tmp_folder={}'.format(data_tmp_folder)],216                    cwd = prototxt_root_folder,217                    stdout = args.log,218                    stderr = args.log219                )220                end_timestamp = datetime.datetime.now()221                if retcode == 0:222                    print('Success. Writing result ...')223                    result_file.write('{},{}\n'.format(length, (end_timestamp - start_timestamp).total_seconds()))224                else:225                    raise Exception('Fail. This should never happen!!!')226def run_resnet_original(args, caffe_bin):227    load_original_driver()228    data_folder = os.path.abspath(args.dfolder)229    pscript_root_folder = os.path.join(CWD, '..', 'examples', 'resnet-imagenet-caffe')230    with open(os.path.join(args.rfolder, 'result-original.data'), 'w') as result_file:231        result_file.write('model,total_time (s)\n')232        for num in (32, 50, 101, 152,):233            prototxt_root_folder = os.path.join(pscript_root_folder, 'resnet_{}'.format(num))234            template_file_path = os.path.join(prototxt_root_folder, 'resnet_{}.prototxt.template'.format(num))235            prototxt_file_path = os.path.join(prototxt_root_folder, 'resnet_{}.prototxt'.format(num))236            with open(template_file_path, 'r') as f:237                print('Benchmarking Resnet-{} original ...'.format(num))238                template_content = f.read()239                prototxt_content = template_content.replace('{{ INPUT_LAYER_TYPE }}', 'DragonFreadData')240                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_DATA }}', os.path.join(data_folder, 'resnet-train-data-{}.mem'.format(length)))241                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_LABEL }}', os.path.join(data_folder, 'resnet-train-label-{}.mem'.format(length)))242                with open(prototxt_file_path, 'w') as g:243                    g.write(prototxt_content)244                clear_dmesg()245                clear_cache()246                start_timestamp = datetime.datetime.now()247                retcode = subprocess.call(248                    [caffe_bin, 'train', '--solver=resnet_{}/resnet_{}_solver.prototxt'.format(num, num),],249                    cwd = pscript_root_folder,250                    stdout = args.log,251                    stderr = args.log252                )253                end_timestamp = datetime.datetime.now()254                if retcode == 0:255                    print('Success. Writing result ...')256                    result_file.write('resnet_{},{}\n'.format(num, (end_timestamp - start_timestamp).total_seconds()))257                else:258                    print('Fail. Maybe due to out-of-memory')259def run_resnet_uvm(args, caffe_bin):260    load_original_driver()261    data_folder = os.path.abspath(args.dfolder)262    pscript_root_folder = os.path.join(CWD, '..', 'examples', 'resnet-imagenet-caffe')263    with open(os.path.join(args.rfolder, 'result-uvm.data'), 'w') as result_file:264        result_file.write('model,total_time (s)\n')265        for num in (32, 50, 101, 152,):266            prototxt_root_folder = os.path.join(pscript_root_folder, 'resnet_{}'.format(num))267            template_file_path = os.path.join(prototxt_root_folder, 'resnet_{}.prototxt.template'.format(num))268            prototxt_file_path = os.path.join(prototxt_root_folder, 'resnet_{}.prototxt'.format(num))269            with open(template_file_path, 'r') as f:270                print('Benchmarking Resnet-{} UVM ...'.format(num))271                template_content = f.read()272                prototxt_content = template_content.replace('{{ INPUT_LAYER_TYPE }}', 'DragonFreadData')273                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_DATA }}', os.path.join(data_folder, 'resnet-train-data-{}.mem'.format(length)))274                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_LABEL }}', os.path.join(data_folder, 'resnet-train-label-{}.mem'.format(length)))275                with open(prototxt_file_path, 'w') as g:276                    g.write(prototxt_content)277                clear_dmesg()278                clear_cache()279                start_timestamp = datetime.datetime.now()280                retcode = subprocess.call(281                    [caffe_bin, 'train', '--solver=resnet_{}/resnet_{}_solver.prototxt'.format(num, num), '--enable_uvm=true',],282                    cwd = pscript_root_folder,283                    stdout = args.log,284                    stderr = args.log285                )286                end_timestamp = datetime.datetime.now()287                if retcode == 0:288                    print('Success. Writing result ...')289                    result_file.write('resnet_{},{}\n'.format(num, (end_timestamp - start_timestamp).total_seconds()))290                else:291                    print('Fail. Maybe due to out-of-memory')292def run_resnet_nvmgpu(args, caffe_bin):293    load_nvmgpu_driver()294    data_folder = os.path.abspath(args.dfolder)295    pscript_root_folder = os.path.join(CWD, '..', 'examples', 'resnet-imagenet-caffe')296    with open(os.path.join(args.rfolder, 'result-dragon.data'), 'w') as result_file:297        result_file.write('model,total_time (s)\n')298        for num in (32, 50, 101, 152,):299            prototxt_root_folder = os.path.join(pscript_root_folder, 'resnet_{}'.format(num))300            template_file_path = os.path.join(prototxt_root_folder, 'resnet_{}.prototxt.template'.format(num))301            prototxt_file_path = os.path.join(prototxt_root_folder, 'resnet_{}.prototxt'.format(num))302            with open(template_file_path, 'r') as f:303                print('Benchmarking Resnet-{} DRAGON ...'.format(num))304                template_content = f.read()305                prototxt_content = template_content.replace('{{ INPUT_LAYER_TYPE }}', 'DragonData')306                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_DATA }}', os.path.join(data_folder, 'resnet-train-data-{}.mem'.format(length)))307                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_LABEL }}', os.path.join(data_folder, 'resnet-train-label-{}.mem'.format(length)))308                with open(prototxt_file_path, 'w') as g:309                    g.write(prototxt_content)310                clear_dmesg()311                clear_cache()312                start_timestamp = datetime.datetime.now()313                retcode = subprocess.call(314                    [caffe_bin, 'train', '--solver=resnet_{}/resnet_{}_solver.prototxt'.format(num, num), '--enable_dragon=true', '--dragon_tmp_folder={}'.format(data_tmp_folder),],315                    cwd = pscript_root_folder,316                    stdout = args.log,317                    stderr = args.log318                )319                end_timestamp = datetime.datetime.now()320                dump_dmesg(args)321                if retcode == 0:322                    print('Success. Writing result ...')323                    result_file.write('resnet_{},{}\n'.format(num, (end_timestamp - start_timestamp).total_seconds()))324                else:325                    raise Exception('Fail. This should never happen!!!')326def run_resnet_cpu(args, caffe_bin):327    load_original_driver()328    data_folder = os.path.abspath(args.dfolder)329    pscript_root_folder = os.path.join(CWD, '..', 'examples', 'resnet-imagenet-caffe')330    with open(os.path.join(args.rfolder, 'result-cpu.data'), 'w') as result_file:331        result_file.write('model,total_time (s)\n')332        for num in (32, 50, 101, 152,):333            prototxt_root_folder = os.path.join(pscript_root_folder, 'resnet_{}'.format(num))334            template_file_path = os.path.join(prototxt_root_folder, 'resnet_{}.prototxt.template'.format(num))335            prototxt_file_path = os.path.join(prototxt_root_folder, 'resnet_{}.prototxt'.format(num))336            with open(template_file_path, 'r') as f:337                print('Benchmarking Resnet-{} CPU ...'.format(num))338                template_content = f.read()339                prototxt_content = template_content.replace('{{ INPUT_LAYER_TYPE }}', 'DragonMmapData')340                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_DATA }}', os.path.join(data_folder, 'resnet-train-data-{}.mem'.format(length)))341                prototxt_content = prototxt_content.replace('{{ INPUT_TRAIN_LABEL }}', os.path.join(data_folder, 'resnet-train-label-{}.mem'.format(length)))342                with open(prototxt_file_path, 'w') as g:343                    g.write(prototxt_content)344                clear_dmesg()345                clear_cache()346                start_timestamp = datetime.datetime.now()347                retcode = subprocess.call(348                    [caffe_bin, 'train', '--solver=resnet_{}/resnet_{}_solver_cpu.prototxt'.format(num, num), '--enable_mmap=true', '--dragon_tmp_folder={}'.format(data_tmp_folder),],349                    cwd = pscript_root_folder,350                    stdout = args.log,351                    stderr = args.log352                )353                end_timestamp = datetime.datetime.now()354                if retcode == 0:355                    print('Success. Writing result ...')356                    result_file.write('resnet_{},{}\n'.format(num, (end_timestamp - start_timestamp).total_seconds()))357                else:358                    raise Exception('Fail. This should never happen!!!')...

pm_sched_domain.py

Source:pm_sched_domain.py

...20    parser.add_option("-t", "--smt_level", dest="smt_level", default=-1,21        help="Sched smt power saving value 0/1/2")22    (options, args) = parser.parse_args()23    try:24        clear_dmesg()25        count_num_cpu()26        map_cpuid_pkgid()27        if is_hyper_threaded() and int(options.smt_level) >= 0:28            set_sched_smt_power(options.smt_level)29        if int(options.mc_level) >= 0:30            set_sched_mc_power(options.mc_level)31        if int(options.smt_level) >= 0 or int(options.mc_level) >= 0:32            status = verify_sched_domain_dmesg(options.mc_level, options.smt_level)33            reset_schedmc()34            if is_hyper_threaded():35                reset_schedsmt()36                return(status)37        else:38            print "INFO: Invalid arguments given"...

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