Example #1
0
    def runBenchmark(self, info, benchmark, platform):
        model = benchmark["model"]
        tests = benchmark["tests"]
        assert len(tests) == 1, "At this point, only one test should " + \
            "exist in one benchmark. However, benchmark " + \
            "{} doesn't.".format(benchmark["name"])
        test = tests[0]
        index = test["INDEX"] if "INDEX" in test else 0
        first_iteration = index == 0
        last_iteration = (("repeat" not in model) or
                          ("repeat" in model and index == model["repeat"] - 1))

        if self.host_platform is None:
            self.host_platform = getHostPlatform(self.tempdir)

        program_files = {
            name: info["programs"][name]["location"]
            for name in info["programs"]
        }
        program_path = os.path.dirname(program_files["program"]) \
            if "program" in program_files else None
        stringmap_from_info = info[
            "string_map"] if "string_map" in info else None
        self._replaceStringMap(benchmark, platform, program_path,
                               stringmap_from_info)

        # better to be before target program files separation.
        # this way, in ios, the platform may not be copied to the target.
        platform.preprocess(programs=program_files, benchmark=benchmark)

        tgt_program_files, host_program_files = \
            self._separatePrograms(program_files, test.get("commands"))

        tgt_program_files = \
            platform.copyFilesToPlatform(tgt_program_files,
                                         copy_files = first_iteration)
        programs = {}
        deepMerge(programs, host_program_files)
        deepMerge(programs, tgt_program_files)

        model_files = {
            name: model["files"][name]["location"]
            for name in model["files"]
        }

        if "converter" in model:
            converter = model["converter"]
            assert "name" in converter, "converter field must have a name"
            assert converter["name"] in self.converters, \
                "Unknown converter {}".format(converter)
        else:
            converter = None

        output = {}
        # overall preprocess
        if "preprocess" in model and first_iteration:
            commands = model["preprocess"]["commands"]
            self._runCommands(output, commands, self.host_platform, programs,
                              model, None, model_files, None, None, None, None,
                              -1, converter)

        input_files = {name: test["input_files"][name]["location"]
                       for name in test["input_files"]} \
            if "input_files" in test else None

        test_files = {
            name: test["files"][name]["location"]
            for name in test["files"]
        } if "files" in test else {}

        # Let's handle preprocess comamnd first,
        # since we will copy all files into host
        if "preprocess" in test:
            # simple thing first, let's assume preprocess is self contained
            # check the program to executable
            if "files" in test["preprocess"] and \
                    "program" in test["preprocess"]["files"]:
                host_program_path = \
                    test["preprocess"]["files"]["program"]["location"]
                os.chmod(host_program_path, 0o777)

            # will deprecate in the future
            if "files" in test["preprocess"]:
                preprocess_files = \
                    {name: test["preprocess"]["files"][name]["location"]
                     for name in test["preprocess"]["files"]}
                deepMerge(test_files, preprocess_files)

            if "commands" in test["preprocess"]:
                commands = test["preprocess"]["commands"]
            elif "command" in test["preprocess"]:
                commands = [test["preprocess"]["command"]]
            self._runCommands(output, commands, self.host_platform, programs,
                              model, test, model_files, input_files, None,
                              None, test_files, -1, converter)

        tgt_input_files = platform.copyFilesToPlatform(input_files) \
            if input_files else None
        shared_libs = None
        if "shared_libs" in info:
            shared_libs = \
                platform.copyFilesToPlatform(info["shared_libs"],
                                             copy_files = first_iteration)

        tgt_model_files = \
            platform.copyFilesToPlatform(model_files,
                                         copy_files = first_iteration)

        tgt_result_files = None
        if "output_files" in test:
            tgt_result_files = {
                name: test["output_files"][name]["location"]
                for name in test["output_files"]
            }

        total_num = test["iter"]

        if "platform_args" in test:
            platform_args = test["platform_args"]
        elif "platform_args" in model:
            platform_args = model["platform_args"]
        else:
            platform_args = {}

        if 'timeout' in model:
            platform_args['timeout'] = model['timeout']
        if 'timeout' in test:
            platform_args['timeout'] = test['timeout']

        program = programs["program"] if "program" in programs else ""
        if test["metric"] == "power":
            platform_args["power"] = True
            # in power metric, the output is ignored
            total_num = 0
            platform.killProgram(program)

        if test.get("env", False):
            platform_args["env"] = test["env"]

        self._runCommands(output,
                          test["commands"],
                          platform,
                          programs,
                          model,
                          test,
                          tgt_model_files,
                          tgt_input_files,
                          tgt_result_files,
                          shared_libs,
                          test_files,
                          total_num,
                          converter,
                          platform_args=platform_args)

        if test["metric"] == "power":
            collection_time = test["collection_time"] \
                if "collection_time" in test else 180
            voltage = float(test["voltage"]) if "voltage" in test else 4.0
            from utils.monsoon_power import collectPowerData
            output = collectPowerData(platform.platform_hash, collection_time,
                                      voltage, test["iter"])
            platform.waitForDevice(20)
            # kill the process if exists
            platform.killProgram(program)

        # remove the files before copying out the output files
        # this will save some time in ios platform, since in ios
        # all files are copied back to the host system
        if len(output) > 0:
            if input_files is not None:
                platform.delFilesFromPlatform(input_files)
            if last_iteration:
                platform.delFilesFromPlatform(tgt_model_files)
                platform.delFilesFromPlatform(tgt_program_files)
                if shared_libs is not None:
                    platform.delFilesFromPlatform(shared_libs)

        output_files = None
        if "output_files" in test:
            target_dir = os.path.join(self.tempdir, "output")
            shutil.rmtree(target_dir, True)
            os.makedirs(target_dir)
            output_files = \
                platform.moveFilesFromPlatform(tgt_result_files, target_dir)

        if "postprocess" in test:
            if "files" in test["postprocess"] and \
                    "program" in test["preprocess"]["files"]:
                host_program_path = \
                    test["postprocess"]["files"]["program"]["location"]
                os.chmod(host_program_path, 0o777)

            # will deprecate in the future
            if "files" in test["postprocess"]:
                postprocess_files = \
                    {name: test["postprocess"]["files"][name]["location"]
                     for name in test["postprocess"]["files"]}
                deepMerge(test_files, postprocess_files)

            commands = None
            if "commands" in test["postprocess"]:
                commands = test["postprocess"]["commands"]
            elif "command" in test["postprocess"]:
                commands = [test["postprocess"]["command"]]

            self._runCommands(output, commands, self.host_platform, programs,
                              model, test, model_files, input_files,
                              output_files, None, test_files, -1, converter)

        if "postprocess" in model and last_iteration:
            commands = model["postprocess"]["commands"]
            self._runCommands(output, commands, self.host_platform, programs,
                              model, test, model_files, None, None, None, None,
                              -1, converter)

        # after everything is done, some of the output files may
        # contain metrics that can be processed. Those files have
        # field converter, and specify which convert to use to
        # convert the metrics
        if output_files:
            for filename in output_files:
                file = output_files[filename]
                converter = \
                    test["output_files"][filename].get("converter")
                if not converter:
                    continue
                assert "name" in converter, "converter field must have a name"
                assert converter["name"] in self.converters, \
                    "Unknown converter {}".format(converter["name"])
                converter_class = self.converters[converter["name"]]
                args = converter.get("args")
                with open(file, "r") as f:
                    content = f.read()
                convert = converter_class()
                results, _ = convert.collect(content, args)
                one_output = convert.convert(results)
                deepMerge(output, one_output)
        return output, output_files
Example #2
0
    def runBenchmark(self, info, benchmark, platform):
        model = benchmark["model"]
        tests = benchmark["tests"]
        assert len(tests) == 1, "At this point, only one test should " + \
            "exist in one benchmark. However, benchmark " + \
            "{} doesn't.".format(benchmark["name"])
        test = tests[0]
        index = test["INDEX"] if "INDEX" in test else 0
        first_iteration = index == 0
        last_iteration = (("repeat" not in model) or
                          ("repeat" in model and index == model["repeat"] - 1))

        if self.host_platform is None:
            self.host_platform = getHostPlatform(self.tempdir)

        self._replaceStringMap(benchmark, platform)

        program_files = {name: info["programs"][name]["location"]
                         for name in info["programs"]}
        # better to be before target program files separation.
        # this way, in ios, the platform may not be copied to the target.
        platform.preprocess(programs=program_files)

        tgt_program_files, host_program_files = \
            self._separatePrograms(program_files, test["commands"])

        # we need to copy programs in all iterations, because this is
        # how we get the absolute path of the programs in the target platform
        # may consider optimize this later that only copying for the first
        # iteration
        programs = platform.copyFilesToPlatform(tgt_program_files)
        deepMerge(programs, host_program_files)

        model_files = {name: model["files"][name]["location"]
                       for name in model["files"]}

        if "converter" in model:
            converter_name = model["converter"]
            assert converter_name in self.converters, \
                "Unknown converter {}".format(converter_name)
            converter = self.converters[converter_name]
        else:
            converter = None

        log_output = {"log_output": True}
        output = {}
        # overall preprocess
        if "preprocess" in model and first_iteration:
            commands = model["preprocess"]["commands"]
            self._runCommands(output, commands, self.host_platform, programs,
                              model, None, model_files, None, None, None,
                              None, -1, log_output, converter)

        input_files = {name: test["input_files"][name]["location"]
                       for name in test["input_files"]} \
            if "input_files" in test else None

        test_files = {name: test["files"][name]["location"]
                      for name in test["files"]} if "files" in test else {}

        # Let's handle preprocess comamnd first,
        # since we will copy all files into host
        if "preprocess" in test:
            # simple thing first, let's assume preprocess is self contained
            # check the program to executable
            if "files" in test["preprocess"] and \
                    "program" in test["preprocess"]["files"]:
                host_program_path = \
                    test["preprocess"]["files"]["program"]["location"]
                os.chmod(host_program_path, 0o777)

            # will deprecate in the future
            if "files" in test["preprocess"]:
                preprocess_files = \
                    {name: test["preprocess"]["files"][name]["location"]
                     for name in test["preprocess"]["files"]}
                deepMerge(test_files, preprocess_files)

            if "commands" in test["preprocess"]:
                commands = test["preprocess"]["commands"]
            elif "command" in test["preprocess"]:
                commands = [test["preprocess"]["command"]]
            self._runCommands(output, commands, self.host_platform, programs,
                              model,
                              test, model_files, input_files, None, None,
                              test_files, -1, log_output, converter)

        tgt_input_files = platform.copyFilesToPlatform(input_files) \
            if input_files else None
        shared_libs = None
        if "shared_libs" in info:
            shared_libs = platform.copyFilesToPlatform(info["shared_libs"])

        # We need to copy the model files in every iteration, because this
        # is how we get the absolute path in the target platform,
        # will optimize that later.
        tgt_model_files = platform.copyFilesToPlatform(model_files)

        tgt_result_files = None
        if "output_files" in test:
            tgt_result_files = {name: test["output_files"][name]["location"]
                                for name in test["output_files"]}

        total_num = test["iter"]

        if "platform_args" in test:
            platform_args = test["platform_args"]
        elif "platform_args" in model:
            platform_args = model["platform_args"]
        else:
            platform_args = {}

        if sys.version_info > (3, 0):
            if 'timeout' in model:
                platform_args['timeout'] = model['timeout']
            if 'timeout' in test:
                platform_args['timeout'] = test['timeout']

        program = programs["program"] if "program" in programs else ""
        if test["metric"] == "power":
            platform_args["power"] = True
            # in power metric, the output is ignored
            total_num = 0
            platform.killProgram(program)

        if test.get("log_output", False):
            platform_args["log_output"] = True

        self._runCommands(output, test["commands"], platform, programs, model,
                          test, tgt_model_files, tgt_input_files,
                          tgt_result_files, shared_libs, test_files,
                          total_num, platform_args, converter)

        if test["metric"] == "power":
            collection_time = test["collection_time"] \
                if "collection_time" in test else 180
            voltage = float(test["voltage"]) if "voltage" in test else 4.0
            from utils.monsoon_power import collectPowerData
            output = collectPowerData(platform.platform_hash,
                                      collection_time, voltage, test["iter"])
            platform.waitForDevice(20)
            # kill the process if exists
            platform.killProgram(program)

        # remove the files before copying out the output files
        # this will save some time in ios platform, since in ios
        # all files are copied back to the host system
        if len(output) > 0:
            platform.delFilesFromPlatform(tgt_model_files)
            platform.delFilesFromPlatform(program)
            if shared_libs is not None:
                platform.delFilesFromPlatform(shared_libs)
            if input_files is not None:
                platform.delFilesFromPlatform(input_files)

        output_files = None
        if "output_files" in test:
            target_dir = os.path.join(self.tempdir, "output")
            shutil.rmtree(target_dir, True)
            os.makedirs(target_dir)
            output_files = \
                platform.moveFilesFromPlatform(tgt_result_files, target_dir)

        if "postprocess" in test:
            if "files" in test["postprocess"] and \
                    "program" in test["preprocess"]["files"]:
                host_program_path = \
                    test["postprocess"]["files"]["program"]["location"]
                os.chmod(host_program_path, 0o777)

            # will deprecate in the future
            if "files" in test["postprocess"]:
                postprocess_files = \
                    {name: test["postprocess"]["files"][name]["location"]
                     for name in test["postprocess"]["files"]}
                deepMerge(test_files, postprocess_files)

            commands = test["postprocess"]["commands"]
            self._runCommands(output, commands, self.host_platform, programs,
                              model, test, model_files, input_files,
                              output_files, None, test_files, -1, log_output,
                              converter)

        if "postprocess" in model and last_iteration:
            commands = model["postprocess"]["commands"]
            self._runCommands(output, commands, self.host_platform, programs,
                              model, test, model_files, None, None, None, None,
                              -1, log_output, converter)

        return output, output_files
Example #3
0
    def runBenchmark(self, info, benchmark, platform):
        model = benchmark["model"]
        tests = benchmark["tests"]
        assert len(tests) == 1, (
            "At this point, only one test should " +
            "exist in one benchmark. However, benchmark " +
            "{} doesn't.".format(benchmark["name"]))
        test = tests[0]
        index = test["INDEX"] if "INDEX" in test else 0
        first_iteration = index == 0
        last_iteration = ("repeat"
                          not in model) or ("repeat" in model
                                            and index == model["repeat"] - 1)

        if self.host_platform is None:
            self.host_platform = getHostPlatform(self.tempdir, self.args)

        program_files = {
            name: info["programs"][name]["location"]
            for name in info["programs"]
        }
        program_path = (os.path.dirname(program_files["program"])
                        if "program" in program_files else None)
        stringmap_from_info = info[
            "string_map"] if "string_map" in info else None
        self._replaceStringMap(benchmark, platform, program_path,
                               stringmap_from_info)

        # better to be before target program files separation.
        # this way, in ios, the platform may not be copied to the target.
        platform.preprocess(programs=program_files, benchmark=benchmark)

        tgt_program_files, host_program_files = self._separatePrograms(
            program_files, test.get("commands"))

        tgt_program_files = platform.copyFilesToPlatform(
            tgt_program_files, copy_files=first_iteration)
        programs = {}
        deepMerge(programs, host_program_files)
        deepMerge(programs, tgt_program_files)

        model_files = {
            name: model["files"][name]["location"]
            for name in model["files"]
        }

        if "converter" in model:
            converter = model["converter"]
            assert "name" in converter, "converter field must have a name"
            assert converter[
                "name"] in self.converters, "Unknown converter {}".format(
                    converter)
        else:
            converter = None

        output = {}

        # inject default parameters into test
        if "iter" not in test:
            test["iter"] = -1

        # overall preprocess
        if "preprocess" in model and first_iteration:
            commands = model["preprocess"]["commands"]
            self._runCommands(
                output,
                commands,
                self.host_platform,
                programs,
                model,
                None,
                model_files,
                None,
                None,
                None,
                None,
                -1,
                converter,
            )

        input_files = ({
            name: test["input_files"][name]["location"]
            for name in test["input_files"]
        } if "input_files" in test else None)

        test_files = (
            {name: test["files"][name]["location"]
             for name in test["files"]} if "files" in test else {})

        # Let's handle preprocess comamnd first,
        # since we will copy all files into host
        if "preprocess" in test:
            # simple thing first, let's assume preprocess is self contained
            # check the program to executable
            if ("files" in test["preprocess"]
                    and "program" in test["preprocess"]["files"]):
                host_program_path = test["preprocess"]["files"]["program"][
                    "location"]
                os.chmod(host_program_path, 0o777)

            # will deprecate in the future
            if "files" in test["preprocess"]:
                preprocess_files = {
                    name: test["preprocess"]["files"][name]["location"]
                    for name in test["preprocess"]["files"]
                }
                deepMerge(test_files, preprocess_files)

            if "commands" in test["preprocess"]:
                commands = test["preprocess"]["commands"]
            elif "command" in test["preprocess"]:
                commands = [test["preprocess"]["command"]]
            self._runCommands(
                output,
                commands,
                self.host_platform,
                programs,
                model,
                test,
                model_files,
                input_files,
                None,
                None,
                test_files,
                -1,
                converter,
            )

        tgt_input_files = (platform.copyFilesToPlatform(input_files)
                           if input_files else None)
        shared_libs = None
        if "shared_libs" in info:
            shared_libs = platform.copyFilesToPlatform(
                info["shared_libs"], copy_files=first_iteration)

        tgt_model_files = platform.copyFilesToPlatform(
            model_files, copy_files=first_iteration)

        tgt_result_files = None
        if "output_files" in test:
            tgt_result_files = {
                name: test["output_files"][name]["location"]
                for name in test["output_files"]
            }

        total_num = test["iter"]

        if "platform_args" in test:
            platform_args = test["platform_args"]
        elif "platform_args" in model:
            platform_args = model["platform_args"]
        else:
            platform_args = {}

        if "timeout" in model:
            platform_args["timeout"] = model["timeout"]
        if "timeout" in test:
            platform_args["timeout"] = test["timeout"]

        program = programs["program"] if "program" in programs else ""
        if test["metric"] == "power":
            platform_args["power"] = True
            method = test.get("method")
            platform_args["method"] = method

            if method == "software":
                power_util = software_power.PowerUtil(
                    platform, test.get("collection_time", 300))
            else:
                # FIXME "Monsoon" was unimportable
                from utils.monsoon_power import collectPowerData

            # in power metric, the output is ignored
            total_num = 0
            platform.killProgram(program)

        if test.get("env", False):
            platform_args["env"] = test["env"]

        if platform.getType() == "host":
            # Fix the number of threads
            if not platform_args.get("env", False):
                platform_args["env"] = {}
            MKL_NUM_THREADS = test.get("MKL_NUM_THREADS", 1)
            OMP_NUM_THREADS = test.get("OMP_NUM_THREADS", 1)
            if MKL_NUM_THREADS > 0:
                platform_args["env"]["MKL_NUM_THREADS"] = MKL_NUM_THREADS
            if OMP_NUM_THREADS > 0:
                platform_args["env"]["OMP_NUM_THREADS"] = OMP_NUM_THREADS
            # Randomly select one cpu core from logic cpu #4 to #13.
            cpu_core = test.get("cpu-list", random.randint(5, 14))
            if isinstance(test["commands"], list) and cpu_core > 0:
                test["commands"][-1] = " ".join([
                    "taskset", "--cpu-list",
                    str(cpu_core), test["commands"][-1]
                ])

        self._runCommands(
            output,
            test["commands"],
            platform,
            programs,
            model,
            test,
            tgt_model_files,
            tgt_input_files,
            tgt_result_files,
            shared_libs,
            test_files,
            total_num,
            converter,
            platform_args=platform_args,
            main_command=True,
        )

        if test["metric"] == "power":
            if test.get("method") == "software":
                output = power_util.collect()
            else:
                collection_time = (test["collection_time"]
                                   if "collection_time" in test else 180)
                voltage = float(test["voltage"]) if "voltage" in test else 4.0
                output = collectPowerData(
                    platform.platform_hash,
                    collection_time,
                    voltage,
                    test["iter"],
                    self.args.monsoon_map,
                )
                platform.waitForDevice(20)
                # kill the process if exists
                platform.killProgram(program)

        # remove the files before copying out the output files
        # this will save some time in ios platform, since in ios
        # all files are copied back to the host system
        if len(output) > 0:
            if input_files is not None:
                platform.delFilesFromPlatform(tgt_input_files)
            if last_iteration:
                platform.delFilesFromPlatform(tgt_model_files)
                platform.delFilesFromPlatform(tgt_program_files)
                if shared_libs is not None:
                    platform.delFilesFromPlatform(shared_libs)

        output_files = None
        if "output_files" in test:
            target_dir = os.path.join(self.tempdir, "output")
            shutil.rmtree(target_dir, True)
            os.makedirs(target_dir)
            output_files = platform.moveFilesFromPlatform(
                tgt_result_files, target_dir)

        platform.postprocess()

        if "postprocess" in test:
            if ("files" in test["postprocess"]
                    and "program" in test["preprocess"]["files"]):
                host_program_path = test["postprocess"]["files"]["program"][
                    "location"]
                os.chmod(host_program_path, 0o777)

            # will deprecate in the future
            if "files" in test["postprocess"]:
                postprocess_files = {
                    name: test["postprocess"]["files"][name]["location"]
                    for name in test["postprocess"]["files"]
                }
                deepMerge(test_files, postprocess_files)

            commands = None
            if "commands" in test["postprocess"]:
                commands = test["postprocess"]["commands"]
            elif "command" in test["postprocess"]:
                commands = [test["postprocess"]["command"]]

            self._runCommands(
                output,
                commands,
                self.host_platform,
                programs,
                model,
                test,
                model_files,
                input_files,
                output_files,
                None,
                test_files,
                -1,
                converter,
            )

        if "postprocess" in model and last_iteration:
            commands = model["postprocess"]["commands"]
            self._runCommands(
                output,
                commands,
                self.host_platform,
                programs,
                model,
                test,
                model_files,
                None,
                None,
                None,
                None,
                -1,
                converter,
            )

        # after everything is done, some of the output files may
        # contain metrics that can be processed. Those files have
        # field converter, and specify which convert to use to
        # convert the metrics
        if output_files:
            for filename in output_files:
                file = output_files[filename]
                converter = test["output_files"][filename].get("converter")
                if not converter:
                    continue
                assert "name" in converter, "converter field must have a name"
                assert (converter["name"]
                        in self.converters), "Unknown converter {}".format(
                            converter["name"])
                converter_class = self.converters[converter["name"]]
                args = converter.get("args")
                with open(file, "r") as f:
                    content = f.read()
                convert = converter_class()
                results, _ = convert.collect(content, args)
                one_output = convert.convert(results)
                deepMerge(output, one_output)
        return output, output_files
Example #4
0
    def runBenchmark(self, info, benchmark, platform):
        model = benchmark["model"]
        tests = benchmark["tests"]
        assert len(tests) == 1, "At this point, only one test should " + \
            "exist in one benchmark. However, benchmark " + \
            "{} doesn't.".format(benchmark["name"])
        test = tests[0]
        program = platform.copyFilesToPlatform(info["program"])
        shared_libs = None
        if "shared_libs" in info:
            shared_libs = platform.copyFilesToPlatform(info["shared_libs"])

        model_files = {name: model["files"][name]["location"]
                       for name in model["files"]}
        model_files = platform.copyFilesToPlatform(model_files)
        input_files = None
        if "input_files" in test:
            input_files = {name: test["input_files"][name]["location"]
                           for name in test["input_files"]}
            input_files = platform.copyFilesToPlatform(input_files)
        result_files = None
        if "output_files" in test:
            result_files = {}
            for of in test["output_files"]:
                result_files[of] = platform.getOutputDir() + "/" + of + ".txt"

        cmd = self.composeRunCommand(platform, program, model, test,
                                     model_files, input_files, result_files,
                                     shared_libs)
        total_num = test["iter"]

        platform_args = model["platform_args"] if "platform_args" in model \
            else {}

        if test["metric"] == "power":
            platform_args["power"] = True
            # in power metric, the output is ignored
            total_num = 0
            platform.killProgram(program)

        output = self.runOnPlatform(total_num, cmd, platform, platform_args)
        output_files = None
        if "output_files" in test:
            target_dir = self.tempdir + "/output/"
            shutil.rmtree(target_dir, True)
            os.makedirs(target_dir)
            output_files = \
                platform.moveFilesFromPlatform(result_files, target_dir)

        if test["metric"] == "power":
            collection_time = test["collection_time"] \
                if "collection_time" in test else 180
            from utils.monsoon_power import collectPowerData
            output = collectPowerData(collection_time, test["iter"])
            platform.waitForDevice(20)
            # kill the process if exists
            platform.killProgram(program)

        if len(output) > 0:
            platform.delFilesFromPlatform(model_files)
            platform.delFilesFromPlatform(program)
            if shared_libs is not None:
                platform.delFilesFromPlatform(shared_libs)
            if input_files is not None:
                platform.delFilesFromPlatform(input_files)
        return output, output_files