예제 #1
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 def return_valid_run_flavors(self):
     # '' corresponds to no userbuffer mode
     flavors = {i: [] for i in RUNTIMES}
     # give higher precedence to command line arg
     if self.userbuffer_mode != '':
         if self.userbuffer_mode in BUFFER_MODES:
             for runtime in flavors:
                 flavors[runtime].append(self.userbuffer_mode)
         else:
             raise ConfigError('Wrong userbuffer mode {} specified'.format(
                 self.userbuffer_mode))
     else:
         if self.buffertypes is "All":
             for runtime in flavors:
                 flavors[runtime].extend(RUNTIME_BUFFER_MODES[runtime])
         else:
             if not all([x in BUFFER_MODES for x in self.buffertypes]):
                 raise ConfigError(
                     'Wrong buffer mode specified in config file')
             for runtime in flavors:
                 flavors[runtime].extend(self.buffertypes)
     runtimes = []
     runtimes.extend(self.runtimes)
     # TODO figure out a better way to decide whether GPU_s is supported
     if RUNTIME_GPU in runtimes and \
         any([x in self._artifacts_config[CONFIG_ARTIFACTS_KEY] for x in CONFIG_ARTIFACTS_COMPILER_KEY_TARGET_ANDROID_OSPACE]) and \
         not self.cpu_fallback:
         runtimes.insert(runtimes.index(RUNTIME_GPU) + 1, RUNTIME_GPU_ONLY)
         for runtime in flavors:
             flavors[runtime] = [
                 x for x in flavors[runtime]
                 if x in RUNTIME_BUFFER_MODES[runtime]
             ]
     return [(i, (lambda: j, lambda: "")[j == "float"]()) for i in runtimes
             for j in flavors[i]]
예제 #2
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 def __default_path(artifact_path):
     _abs_path = artifact_path
     if '.dlc' in _abs_path:
         if 'MODELZOO' in os.environ:
             _abs_path = os.path.join(os.environ['MODELZOO'], _abs_path)
             return _abs_path
     if not os.path.isabs(artifact_path):
         # relative to current directory
         _abs_path = os.path.abspath(artifact_path)
     if not os.path.exists(_abs_path):
         raise ConfigError(artifact_path + " does not exist")
     return _abs_path
예제 #3
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    def __device_artifacts_helper(self, runtime):
        '''
        Given a runtime (CPU, DSP, GPU, etc), return the artifacts folder

        Note that the logic is as simple as:
            1. There should be at least one artifacts folder.
            2. If you are asking for GPU_S, there needs to be 2
            3. GPU_S will return the one ending with "_s", all others will get the first one
        '''
        if runtime == RUNTIME_GPU_ONLY:
            anchor = SNPE_RUNTIME_GPU_S_LIB
        else:
            anchor = SNPE_RUNTIME_LIB
        for _compiler, _artifacts in self._artifacts_config[
                CONFIG_ARTIFACTS_KEY].items():
            if anchor in _artifacts:
                return os.path.join(self.device_path, ARTIFACT_DIR, _compiler)
        raise ConfigError('Unable to find device artifacts')
예제 #4
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 def __default_artifact_path(compiler, artifact):
     # first check for ZDL_ROOT, because if you have both, contributor role takes precedence
     if ZDL_ROOT not in os.environ:
         if SNPE_SDK_ROOT not in os.environ:
             raise ConfigError(
                 "Environment variables 'SNPE_ROOT' and 'ZDL_ROOT' are not defined, absolute path is needed for "
                 + artifact + " in snpebm_artifacts.json")
         _sdk_root = os.environ[SNPE_SDK_ROOT]
         _base_name = os.path.basename(artifact)
         if _base_name.endswith(".so") or _base_name.startswith("lib"):
             return os.path.join(_sdk_root, "lib", compiler, artifact)
         else:
             return os.path.join(_sdk_root, "bin", compiler, artifact)
     else:
         _zdl_root = os.environ[ZDL_ROOT]
         _base_name = os.path.basename(artifact)
         if _base_name.endswith(".so") or _base_name.startswith("lib"):
             return os.path.join(_zdl_root, compiler, "lib", artifact)
         else:
             return os.path.join(_zdl_root, compiler, "bin", artifact)
예제 #5
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 def device_artifacts_lib(self):
     raise ConfigError('Deprecated call')
예제 #6
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 def __init__(self, config, host_artifacts):
     self._name = config[CONFIG_MODEL_KEY][CONFIG_MODEL_NAME_SUBKEY]
     self._dlc = DnnModel.__default_path(
         config[CONFIG_MODEL_KEY][CONFIG_MODEL_DLC_SUBKEY])
     self._dev_root_dir = os.path.join(config[CONFIG_DEVICE_PATH_KEY],
                                       self._name)
     self._host_artifacts = host_artifacts
     subkeys = []
     for sub_key in config[CONFIG_MODEL_KEY]:
         subkeys.append(sub_key)
     if "InputList" in subkeys:
         self._input_list_name = os.path.basename(
             config[CONFIG_MODEL_KEY][CONFIG_MODEL_INPUTLIST_SUBKEY])
         self._artifacts = []
         self._artifacts.append([self._dlc, self._dev_root_dir])
         self._artifacts.append([
             DnnModel.__default_path(
                 config[CONFIG_MODEL_KEY][CONFIG_MODEL_INPUTLIST_SUBKEY]),
             self._dev_root_dir
         ])
         for data in config[CONFIG_MODEL_KEY][CONFIG_MODEL_DATA_SUBKEY]:
             _abs_data_path = DnnModel.__default_path(data)
             self._artifacts.append([
                 _abs_data_path,
                 os.path.join(self._dev_root_dir, os.path.basename(data))
             ])
     elif "RandomInput" in subkeys:
         # Get the input dimensions and generate random data
         input_layer_dim = self.input_layers
         num_inputs = config[CONFIG_MODEL_KEY][
             CONFIG_MODEL_RANDOMINPUT_SUBKEY]
         if num_inputs < 1:
             raise ConfigError('Input can not be less than 1')
         random_data_dim_str = input_layer_dim[0].split(":")[-1]
         random_data_dim = random_data_dim_str.split(",")
         random_data_dim = list(map(int, random_data_dim))
         random_inputs_dir = os.path.join(config[CONFIG_HOST_ROOTPATH_KEY],
                                          'random_inputs')
         _abs_random_inputs_path = os.path.abspath(random_inputs_dir)
         if os.path.isdir(_abs_random_inputs_path):
             shutil.rmtree(_abs_random_inputs_path)
         os.makedirs(_abs_random_inputs_path)
         self._input_list_name = "random_raw_list.txt"
         input_file_path = os.path.join(_abs_random_inputs_path,
                                        self._input_list_name)
         input_file = open(input_file_path, 'w')
         for i in range(1, num_inputs + 1):
             raw_filepath = os.path.join(_abs_random_inputs_path,
                                         'random_input_' + str(i) + '.raw')
             rand_raw = np.random.uniform(
                 -1.0, +1.0, random_data_dim).astype(np.float32)
             with open(raw_filepath, 'wb') as fid:
                 fid.write(rand_raw)
             raw_rel_path = os.path.join(
                 os.path.basename(random_inputs_dir),
                 os.path.basename(raw_filepath))
             input_file.write(raw_rel_path + "\n")
         input_file.close()
         self._artifacts = []
         self._artifacts.append([self._dlc, self._dev_root_dir])
         self._artifacts.append([input_file_path, self._dev_root_dir])
         self._artifacts.append([
             _abs_random_inputs_path,
             os.path.join(self._dev_root_dir,
                          os.path.basename(_abs_random_inputs_path))
         ])
예제 #7
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    def __quick_verify__(self):
        try:
            # Check that we have at least all top level keys
            # note that this will give an exception on any key that
            # isn't present
            # NOTE: We do not validate the values provided for that key
            for _key in CONFIG_JSON_ROOTKEYS:
                # check optional keys
                if not _key is CONFIG_PERF_PROFILE_KEY and not _key is CONFIG_CPU_FALLBACK_KEY and not _key is CONFIG_HOST_NAME_KEY and not _key is CONFIG_BUFFERTYPES_KEY and not _key is CONFIG_PROFILING_LEVEL_KEY:
                    if self._cfg_from_json[_key] is 'null':
                        raise ConfigError("Missing value for " + _key)
            # Check for no foreign top level keys
            for _key in self._cfg_from_json.keys():
                if _key not in CONFIG_JSON_ROOTKEYS:
                    raise ConfigError("Found invalid top level key: " + _key)
        except KeyError as ke:
            raise ConfigError('Missing key in config file: ' + repr(ke))
        # We have all top level keys.  Check some of the sub keys
        if 'RandomInput' in self._cfg_from_json[CONFIG_MODEL_KEY]:
            subkeys = CONFIG_JSON_MODEL_COMMON_SUBKEYS + CONFIG_JSON_MODEL_RANDOM_INPUT_SUBKEYS
            for _key in subkeys:
                if not _key in self._cfg_from_json[CONFIG_MODEL_KEY]:
                    raise ConfigError("No " + CONFIG_MODEL_KEY + ":" + _key +
                                      " found")
        else:
            subkeys = CONFIG_JSON_MODEL_COMMON_SUBKEYS + CONFIG_JSON_MODEL_DEFINED_INPUT_SUBKEYS
            for _key in subkeys:
                if not _key in self._cfg_from_json[CONFIG_MODEL_KEY]:
                    raise ConfigError("No " + CONFIG_MODEL_KEY + ":" + _key +
                                      " found")

        # All relative paths are relative to the current directory
        for _key in [CONFIG_HOST_ROOTPATH_KEY, CONFIG_HOST_RESULTSDIR_KEY]:
            _value = self._cfg_from_json[_key]
            if not os.path.isabs(_value):
                _abs_path = os.path.abspath(_value)
                if os.path.isfile(_abs_path):
                    raise ConfigError(_key + " is not a directory")
                self._cfg_from_json[_key] = os.path.abspath(_value)

        # Check artifacts paths, relative path is not supported
        # currently hardcoded to ARM as target architecture
        for _arch in self.architectures:
            for _compiler, _artifacts in list(
                    self._artifacts_config[CONFIG_ARTIFACTS_KEY].items()):
                if (not _compiler.startswith(_arch)) and (
                        not _compiler.startswith(ARCH_X86) and
                    (not _compiler.startswith(ARCH_DSP))):
                    continue
                for _artifact_path in _artifacts:
                    if (not os.path.isabs(_artifact_path)
                        ) and os.path.dirname(_artifact_path):
                        raise ConfigError(
                            "{0} does not support relative path".format(
                                CONFIG_ARTIFACTS_KEY))
                    elif os.path.isabs(_artifact_path) and (
                            not os.path.exists(_artifact_path)):
                        raise ConfigError(
                            "{0} does not exist".format(_artifact_path))
                    elif not os.path.dirname(_artifact_path):
                        if not os.path.exists(
                                self.__default_artifact_path(
                                    _compiler, _artifact_path)):
                            raise ConfigError(
                                "Could not find {0} for {1}, path used {2}".
                                format(
                                    _artifact_path, _compiler,
                                    self.__default_artifact_path(
                                        _compiler, _artifact_path)))
        # at the momemnt, despite devices takes in a list, benchmark does not work correctly when multiple devices are specified
        device_list = self._cfg_from_json.get(CONFIG_DEVICES_KEY, None)
        if len(device_list) == 0 or not device_list[0]:
            raise ConfigError('Benchmark does not have any device specified')
        elif len(device_list) != 1:
            raise ConfigError(
                'Benchmark does not yet support more than 1 device')

        # Measurements allowed are "timing" and "mem"
        if 0 == len(self._cfg_from_json.get(CONFIG_MEASUREMENTS_KEY, None)):
            raise ConfigError('Benchmark does not specify what to measure')
        else:
            for measurement in self._cfg_from_json.get(CONFIG_MEASUREMENTS_KEY,
                                                       None):
                if measurement not in [MEASURE_TIMING, MEASURE_MEM]:
                    raise ConfigError('"%s" is unknown measurement' %
                                      measurement)
예제 #8
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    def __init__(self, cfg_file, cfg_from_json, outputbasedir, devicelist,
                 hostname, deviceostype, userbuffer_mode, perfprofile,
                 profilinglevel, enable_init_caching):
        config_prefix = os.path.join(
            os.path.abspath(os.path.dirname(__file__)), '../')
        self._cfg_from_json = cfg_from_json
        if deviceostype and deviceostype not in CONFIG_VALID_DEVICEOSTYPES:
            raise ConfigError(
                'Device OS Type not valid.  Only specify one of %s' %
                CONFIG_VALID_DEVICEOSTYPES)
        if deviceostype == CONFIG_DEVICEOSTYPES_LE:
            self._architectures = [ARCH_ARM]
            self._platform_os = PLATFORM_OS_LINUX
            self._compiler = COMPILER_GCC49
            self._stl_library = None
            self._artifacts_config = load_json(
                os.path.join(config_prefix, "snpebm",
                             SNPE_BENCH_LE_ARTIFACTS_JSON))
        elif deviceostype == CONFIG_DEVICEOSTYPES_LE64_GCC49:
            self._architectures = [ARCH_AARCH64]
            self._platform_os = PLATFORM_OS_LINUX
            self._compiler = COMPILER_GCC49
            self._stl_library = None
            self._artifacts_config = load_json(
                os.path.join(config_prefix, "snpebm",
                             SNPE_BENCH_LE64_GCC49_ARTIFACTS_JSON))
        elif deviceostype == CONFIG_DEVICEOSTYPES_LE64_GCC53:
            self._architectures = [ARCH_AARCH64]
            self._platform_os = PLATFORM_OS_LINUX
            self._compiler = COMPILER_GCC53
            self._stl_library = None
            self._artifacts_config = load_json(
                os.path.join(config_prefix, "snpebm",
                             SNPE_BENCH_LE64_GCC53_ARTIFACTS_JSON))
        elif deviceostype == CONFIG_DEVICEOSTYPES_ANDROID_AARCH64:
            self._architectures = [ARCH_AARCH64]
            self._compiler = COMPILER_CLANG60
            self._platform_os = PLATFORM_OS_ANDROID
            self._stl_library = STL_LIBCXX_SHARED
            self._artifacts_config = load_json(
                os.path.join(config_prefix, "snpebm",
                             SNPE_BENCH_ANDROID_AARCH64_ARTIFACTS_JSON))
        elif deviceostype == CONFIG_DEVICEOSTYPES_LE_OE_GCC64:
            self._architectures = [ARCH_ARM]
            self._platform_os = PLATFORM_OS_LINUX
            self._compiler = COMPILER_GCC64
            self._stl_library = None
            self._artifacts_config = load_json(
                os.path.join(config_prefix, "snpebm",
                             SNPE_BENCH_LE_OE_GCC64_HF_ARTIFACTS_JSON))
        elif deviceostype == CONFIG_DEVICEOSTYPES_LE64_OE_GCC64:
            self._architectures = [ARCH_AARCH64]
            self._platform_os = PLATFORM_OS_LINUX
            self._compiler = COMPILER_GCC64
            self._stl_library = None
            self._artifacts_config = load_json(
                os.path.join(config_prefix, "snpebm",
                             SNPE_BENCH_LE64_OE_GCC64_ARTIFACTS_JSON))
        elif deviceostype == CONFIG_DEVICEOSTYPES_QNX64_GCC54:
            self._architectures = [ARCH_AARCH64]
            self._platform_os = PLATFORM_OS_QNX
            self._compiler = COMPILER_GCC54
            self._stl_library = None
            self._artifacts_config = load_json(
                os.path.join(config_prefix, "snpebm",
                             SNPE_BENCH_QNX64_GCC54_ARTIFACTS_JSON))
        elif deviceostype:
            # presumed to be Android arm32
            self._architectures = [ARCH_ARM]
            self._platform_os = PLATFORM_OS_ANDROID
            self._compiler = COMPILER_CLANG60
            self._stl_library = STL_LIBCXX_SHARED
            self._artifacts_config = load_json(
                os.path.join(config_prefix, "snpebm",
                             SNPE_BENCH_ANDROID_ARM32_ARTIFACTS_JSON))
        self.__override_cfgfile__(outputbasedir, devicelist, hostname)
        self.__quick_verify__()
        self._dnnmodel = DnnModel(self._cfg_from_json, self.host_artifacts)

        self.userbuffer_mode = userbuffer_mode
        self.enable_init_caching = enable_init_caching
        try:
            self.hostname = self._cfg_from_json[CONFIG_HOST_NAME_KEY]
        except KeyError:
            self._cfg_from_json[CONFIG_HOST_NAME_KEY] = 'localhost'

        try:
            self.cpu_fallback = self._cfg_from_json[CONFIG_CPU_FALLBACK_KEY]
            if not isinstance(self.cpu_fallback, bool):
                raise ConfigError(CONFIG_CPU_FALLBACK_KEY + " key in " +
                                  cfg_file + " expects boolean type. Found " +
                                  str(type(self.cpu_fallback)))

        except KeyError:
            self.cpu_fallback = False

        try:
            if not self._cfg_from_json[CONFIG_PERF_PROFILE_KEY] is 'null':
                self.perfprofile = self._cfg_from_json[CONFIG_PERF_PROFILE_KEY]
        except KeyError as ke:
            self.perfprofile = perfprofile

        try:
            if not self._cfg_from_json[CONFIG_PROFILING_LEVEL_KEY] is 'null':
                self.profilinglevel = self._cfg_from_json[
                    CONFIG_PROFILING_LEVEL_KEY]
        except KeyError as ke:
            self.profilinglevel = profilinglevel

        try:
            self.buffertypes = self._cfg_from_json[CONFIG_BUFFERTYPES_KEY]
        except KeyError:
            self.buffertypes = "All"

        # Required to set it to default 'high_performance' in case
        # perf_profile is not provided as runtime argument or in the config file
        if self.perfprofile == '' and perfprofile == '':
            self.perfprofile = 'high_performance'
        # Required to give preference to runtime argument in case
        # perf_profile is provided both as runtime argument and in the config file
        elif perfprofile != '':
            self.perfprofile = perfprofile

        if self.profilinglevel == '' and profilinglevel == '':
            self.profilinglevel = 'basic'
        elif profilinglevel != '':
            self.profilinglevel = profilinglevel