sh_commands.py 45.4 KB
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# Copyright 2018 Xiaomi, Inc.  All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

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import falcon_cli
import filelock
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import glob
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import logging
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import os
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import re
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import sh
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import subprocess
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import sys
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import time
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import urllib
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import common
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sys.path.insert(0, "mace/python/tools")
try:
    from encrypt_opencl_codegen import encrypt_opencl_codegen
    from opencl_codegen import opencl_codegen
    from binary_codegen import tuning_param_codegen
    from generate_data import generate_input_data
    from validate import validate
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    from mace_engine_factory_codegen import gen_mace_engine_factory
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except Exception as e:
    print("Import error:\n%s" % e)
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    exit(1)

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################################
# common
################################
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logger = logging.getLogger('MACE')


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def strip_invalid_utf8(str):
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    return sh.iconv(str, "-c", "-t", "UTF-8")

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def make_output_processor(buff):
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    def process_output(line):
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        print(line.rstrip())
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        buff.append(line)

    return process_output

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def device_lock_path(serialno):
    return "/tmp/device-lock-%s" % serialno


def device_lock(serialno, timeout=3600):
    return filelock.FileLock(device_lock_path(serialno), timeout=timeout)


def is_device_locked(serialno):
    try:
        with device_lock(serialno, timeout=0.000001):
            return False
    except filelock.Timeout:
        return True


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################################
# clear data
################################
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def clear_phone_data_dir(serialno, phone_data_dir):
    sh.adb("-s",
           serialno,
           "shell",
           "rm -rf %s" % phone_data_dir)
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def clear_model_codegen(model_codegen_dir="mace/codegen/models"):
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    if os.path.exists(model_codegen_dir):
        sh.rm("-rf", model_codegen_dir)


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################################
# adb commands
################################
def adb_split_stdout(stdout_str):
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    stdout_str = strip_invalid_utf8(stdout_str)
    # Filter out last empty line
    return [l.strip() for l in stdout_str.split('\n') if len(l.strip()) > 0]

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def adb_devices():
    serialnos = []
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    p = re.compile(r'(\w+)\s+device')
    for line in adb_split_stdout(sh.adb("devices")):
        m = p.match(line)
        if m:
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            serialnos.append(m.group(1))

    return serialnos


def get_soc_serialnos_map():
    serialnos = adb_devices()
    soc_serialnos_map = {}
    for serialno in serialnos:
        props = adb_getprop_by_serialno(serialno)
        soc_serialnos_map.setdefault(props["ro.board.platform"], [])\
            .append(serialno)

    return soc_serialnos_map


def get_target_socs_serialnos(target_socs=None):
    soc_serialnos_map = get_soc_serialnos_map()
    serialnos = []
    if target_socs is None:
        target_socs = soc_serialnos_map.keys()
    for target_soc in target_socs:
        serialnos.extend(soc_serialnos_map[target_soc])
    return serialnos
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def adb_getprop_by_serialno(serialno):
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    outputs = sh.adb("-s", serialno, "shell", "getprop")
    raw_props = adb_split_stdout(outputs)
    props = {}
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    p = re.compile(r'\[(.+)\]: \[(.+)\]')
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    for raw_prop in raw_props:
        m = p.match(raw_prop)
        if m:
            props[m.group(1)] = m.group(2)
    return props

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def adb_get_device_name_by_serialno(serialno):
    props = adb_getprop_by_serialno(serialno)
    return props.get("ro.product.model", "")


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def adb_supported_abis(serialno):
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    props = adb_getprop_by_serialno(serialno)
    abilist_str = props["ro.product.cpu.abilist"]
    abis = [abi.strip() for abi in abilist_str.split(',')]
    return abis

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def adb_get_all_socs():
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    socs = []
    for d in adb_devices():
        props = adb_getprop_by_serialno(d)
        socs.append(props["ro.board.platform"])
    return set(socs)
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def adb_push(src_path, dst_path, serialno):
    print("Push %s to %s" % (src_path, dst_path))
    sh.adb("-s", serialno, "push", src_path, dst_path)


def adb_pull(src_path, dst_path, serialno):
    print("Pull %s to %s" % (src_path, dst_path))
    try:
        sh.adb("-s", serialno, "pull", src_path, dst_path)
    except Exception as e:
        print("Error msg: %s" % e.stderr)


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def adb_run(serialno,
            host_bin_path,
            bin_name,
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            args="",
            opencl_profiling=1,
            vlog_level=0,
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            device_bin_path="/data/local/tmp/mace",
            out_of_range_check=1):
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    host_bin_full_path = "%s/%s" % (host_bin_path, bin_name)
    device_bin_full_path = "%s/%s" % (device_bin_path, bin_name)
    props = adb_getprop_by_serialno(serialno)
    print(
        "====================================================================="
    )
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    print("Trying to lock device %s" % serialno)
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    with device_lock(serialno):
        print("Run on device: %s, %s, %s" %
              (serialno, props["ro.board.platform"],
               props["ro.product.model"]))
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        sh.adb("-s", serialno, "shell", "rm -rf %s" % device_bin_path)
        sh.adb("-s", serialno, "shell", "mkdir -p %s" % device_bin_path)
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        adb_push(host_bin_full_path, device_bin_full_path, serialno)
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        print("Run %s" % device_bin_full_path)
        stdout_buff = []
        process_output = make_output_processor(stdout_buff)
        p = sh.adb(
            "-s",
            serialno,
            "shell",
            "MACE_OUT_OF_RANGE_CHECK=%d MACE_OPENCL_PROFILING=%d "
            "MACE_CPP_MIN_VLOG_LEVEL=%d %s %s" %
            (out_of_range_check, opencl_profiling, vlog_level,
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             device_bin_full_path, args),
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            _out=process_output,
            _bg=True,
            _err_to_out=True)
        p.wait()
        return "".join(stdout_buff)
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def adb_run_valgrind(serialno,
                     host_bin_path,
                     bin_name,
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                     valgrind_path="/data/local/tmp/valgrind",
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                     valgrind_args="",
                     args="",
                     opencl_profiling=1,
                     vlog_level=0,
                     device_bin_path="/data/local/tmp/mace",
                     out_of_range_check=1):
    valgrind_lib = valgrind_path + "/lib/valgrind"
    valgrind_bin = valgrind_path + "/bin/valgrind"
    host_bin_full_path = "%s/%s" % (host_bin_path, bin_name)
    device_bin_full_path = "%s/%s" % (device_bin_path, bin_name)
    props = adb_getprop_by_serialno(serialno)
    print(
        "====================================================================="
    )
    print("Trying to lock device %s" % serialno)
    with device_lock(serialno):
        print("Run on device: %s, %s, %s" %
              (serialno, props["ro.board.platform"],
               props["ro.product.model"]))
        result = sh.adb("-s", serialno, "shell", "ls %s" % valgrind_path)
        if result.startswith("ls:"):
            print("Please install valgrind to %s manually." % valgrind_path)
            return result
        sh.adb("-s", serialno, "shell", "rm -rf %s" % device_bin_path)
        sh.adb("-s", serialno, "shell", "mkdir -p %s" % device_bin_path)
        adb_push(host_bin_full_path, device_bin_full_path, serialno)
        print("Run %s" % device_bin_full_path)
        stdout_buff = []
        process_output = make_output_processor(stdout_buff)
        p = sh.adb(
            "-s",
            serialno,
            "shell",
            "MACE_OUT_OF_RANGE_CHECK=%d MACE_OPENCL_PROFILING=%d "
            "MACE_CPP_MIN_VLOG_LEVEL=%d VALGRIND_LIB=%s %s %s %s %s " %
            (out_of_range_check, opencl_profiling, vlog_level,
             valgrind_lib, valgrind_bin, valgrind_args,
             device_bin_full_path, args),
            _out=process_output,
            _bg=True,
            _err_to_out=True)
        p.wait()
        return "".join(stdout_buff)


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################################
# bazel commands
################################
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def bazel_build(target,
                strip="always",
                abi="armeabi-v7a",
                production_mode=False,
                hexagon_mode=False,
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                disable_no_tuning_warning=False,
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                debug=False,
                enable_openmp=True):
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    print("* Build %s with ABI %s" % (target, abi))
    stdout_buff = []
    process_output = make_output_processor(stdout_buff)
    if abi == "host":
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        bazel_args = (
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            "build",
            "-c",
            "opt",
            "--strip",
            strip,
            "--verbose_failures",
            target,
            "--copt=-std=c++11",
            "--copt=-D_GLIBCXX_USE_C99_MATH_TR1",
            "--copt=-O3",
            "--define",
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            "openmp=%s" % str(enable_openmp).lower(),
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            "--define",
            "production=%s" % str(production_mode).lower(),
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        )
        p = sh.bazel(
            *bazel_args,
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            _out=process_output,
            _bg=True,
            _err_to_out=True)
        p.wait()
    else:
        bazel_args = (
            "build",
            "-c",
            "opt",
            "--strip",
            strip,
            "--verbose_failures",
            target,
            "--crosstool_top=//external:android/crosstool",
            "--host_crosstool_top=@bazel_tools//tools/cpp:toolchain",
            "--cpu=%s" % abi,
            "--copt=-std=c++11",
            "--copt=-D_GLIBCXX_USE_C99_MATH_TR1",
            "--copt=-DMACE_OBFUSCATE_LITERALS",
            "--copt=-O3",
            "--define",
            "neon=true",
            "--define",
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            "openmp=%s" % str(enable_openmp).lower(),
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            "--define",
            "production=%s" % str(production_mode).lower(),
            "--define",
            "hexagon=%s" % str(hexagon_mode).lower())
        if disable_no_tuning_warning:
            bazel_args += ("--copt=-DMACE_DISABLE_NO_TUNING_WARNING",)
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        if debug:
            bazel_args += ("--copt=-g",)
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        p = sh.bazel(
            _out=process_output,
            _bg=True,
            _err_to_out=True,
            *bazel_args)
        p.wait()
    print("Building done!\n")
    return "".join(stdout_buff)


def bazel_build_common(target, build_args=""):
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    stdout_buff = []
    process_output = make_output_processor(stdout_buff)
    p = sh.bazel(
        "build",
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        target + build_args,
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        _out=process_output,
        _bg=True,
        _err_to_out=True)
    p.wait()
    return "".join(stdout_buff)

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def bazel_target_to_bin(target):
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    # change //mace/a/b:c to bazel-bin/mace/a/b/c
    prefix, bin_name = target.split(':')
    prefix = prefix.replace('//', '/')
    if prefix.startswith('/'):
        prefix = prefix[1:]
    host_bin_path = "bazel-bin/%s" % prefix
    return host_bin_path, bin_name

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################################
# mace commands
################################
def gen_encrypted_opencl_source(codegen_path="mace/codegen"):
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    sh.mkdir("-p", "%s/opencl" % codegen_path)
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    encrypt_opencl_codegen("./mace/kernels/opencl/cl/",
                           "mace/codegen/opencl/opencl_encrypt_program.cc")
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def gen_mace_engine_factory_source(model_tags,
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                                   model_load_type,
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                                   codegen_path="mace/codegen"):
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    print("* Genearte mace engine creator source")
    codegen_tools_dir = "%s/engine" % codegen_path
    sh.rm("-rf", codegen_tools_dir)
    sh.mkdir("-p", codegen_tools_dir)
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    gen_mace_engine_factory(
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        model_tags,
        "mace/python/tools",
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        model_load_type,
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        codegen_tools_dir)
    print("Genearte mace engine creator source done!\n")


def pull_binaries(abi, serialno, model_output_dirs,
                  cl_built_kernel_file_name,
                  cl_platform_info_file_name):
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    compiled_opencl_dir = "/data/local/tmp/mace_run/interior/"
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    mace_run_param_file = "mace_run.config"
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    cl_bin_dirs = []
    for d in model_output_dirs:
        cl_bin_dirs.append(os.path.join(d, "opencl_bin"))
    cl_bin_dirs_str = ",".join(cl_bin_dirs)
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    if cl_bin_dirs:
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        cl_bin_dir = cl_bin_dirs_str
        if os.path.exists(cl_bin_dir):
            sh.rm("-rf", cl_bin_dir)
        sh.mkdir("-p", cl_bin_dir)
        if abi != "host":
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            adb_pull(compiled_opencl_dir + cl_built_kernel_file_name,
                     cl_bin_dir, serialno)
            adb_pull(compiled_opencl_dir + cl_platform_info_file_name,
                     cl_bin_dir, serialno)
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            adb_pull("/data/local/tmp/mace_run/%s" % mace_run_param_file,
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                     cl_bin_dir, serialno)


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def gen_opencl_binary_code(model_output_dirs,
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                           cl_built_kernel_file_name,
                           cl_platform_info_file_name,
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                           codegen_path="mace/codegen"):
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    opencl_codegen_file = "%s/opencl/opencl_compiled_program.cc" % codegen_path
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    cl_bin_dirs = []
    for d in model_output_dirs:
        cl_bin_dirs.append(os.path.join(d, "opencl_bin"))
    cl_bin_dirs_str = ",".join(cl_bin_dirs)
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    opencl_codegen(opencl_codegen_file,
                   cl_bin_dirs_str,
                   cl_built_kernel_file_name,
                   cl_platform_info_file_name)
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def gen_tuning_param_code(model_output_dirs,
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                          codegen_path="mace/codegen"):
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    mace_run_param_file = "mace_run.config"
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    cl_bin_dirs = []
    for d in model_output_dirs:
        cl_bin_dirs.append(os.path.join(d, "opencl_bin"))
    cl_bin_dirs_str = ",".join(cl_bin_dirs)
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    tuning_codegen_dir = "%s/tuning/" % codegen_path
    if not os.path.exists(tuning_codegen_dir):
        sh.mkdir("-p", tuning_codegen_dir)

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    tuning_param_variable_name = "kTuningParamsData"
    tuning_param_codegen(cl_bin_dirs_str,
                         mace_run_param_file,
                         "%s/tuning_params.cc" % tuning_codegen_dir,
                         tuning_param_variable_name)
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def gen_mace_version(codegen_path="mace/codegen"):
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    sh.mkdir("-p", "%s/version" % codegen_path)
    sh.bash("mace/tools/git/gen_version_source.sh",
            "%s/version/version.cc" % codegen_path)

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def gen_compiled_opencl_source(codegen_path="mace/codegen"):
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    opencl_codegen_file = "%s/opencl/opencl_compiled_program.cc" % codegen_path
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    sh.mkdir("-p", "%s/opencl" % codegen_path)
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    opencl_codegen(opencl_codegen_file)
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def gen_model_code(model_codegen_dir,
                   platform,
                   model_file_path,
                   weight_file_path,
                   model_sha256_checksum,
                   input_nodes,
                   output_nodes,
                   runtime,
                   model_tag,
                   input_shapes,
                   dsp_mode,
                   embed_model_data,
                   fast_conv,
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                   obfuscate,
                   model_output_dir,
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                   model_load_type,
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                   gpu_data_type):
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    print("* Genearte model code")
    bazel_build_common("//mace/python/tools:converter")
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    if os.path.exists(model_codegen_dir):
        sh.rm("-rf", model_codegen_dir)
    sh.mkdir("-p", model_codegen_dir)
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    stdout_buff = []
    process_output = make_output_processor(stdout_buff)
    p = sh.python("bazel-bin/mace/python/tools/converter",
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                  "-u",
                  "--platform=%s" % platform,
                  "--model_file=%s" % model_file_path,
                  "--weight_file=%s" % weight_file_path,
                  "--model_checksum=%s" % model_sha256_checksum,
                  "--input_node=%s" % input_nodes,
                  "--output_node=%s" % output_nodes,
                  "--runtime=%s" % runtime,
                  "--template=%s" % "mace/python/tools",
                  "--model_tag=%s" % model_tag,
                  "--input_shape=%s" % input_shapes,
                  "--dsp_mode=%s" % dsp_mode,
                  "--embed_model_data=%s" % embed_model_data,
                  "--winograd=%s" % fast_conv,
                  "--obfuscate=%s" % obfuscate,
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                  "--codegen_output=%s/model.cc" % model_codegen_dir,
                  "--pb_output=%s/%s.pb" % (model_output_dir, model_tag),
                  "--model_load_type=%s" % model_load_type,
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                  "--gpu_data_type=%s" % gpu_data_type,
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                  _out=process_output,
                  _bg=True,
                  _err_to_out=True)
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    p.wait()
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    print("Model code gen done!\n")


def gen_random_input(model_output_dir,
                     input_nodes,
                     input_shapes,
                     input_files,
                     input_file_name="model_input"):
    for input_name in input_nodes:
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        formatted_name = common.formatted_file_name(
            input_file_name, input_name)
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        if os.path.exists("%s/%s" % (model_output_dir, formatted_name)):
            sh.rm("%s/%s" % (model_output_dir, formatted_name))
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    input_nodes_str = ",".join(input_nodes)
    input_shapes_str = ":".join(input_shapes)
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    generate_input_data("%s/%s" % (model_output_dir, input_file_name),
                        input_nodes_str,
                        input_shapes_str)
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    input_file_list = []
    if isinstance(input_files, list):
        input_file_list.extend(input_files)
    else:
        input_file_list.append(input_files)
    if len(input_file_list) != 0:
        input_name_list = []
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        if isinstance(input_nodes, list):
            input_name_list.extend(input_nodes)
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        else:
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            input_name_list.append(input_nodes)
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        if len(input_file_list) != len(input_name_list):
            raise Exception('If input_files set, the input files should '
                            'match the input names.')
        for i in range(len(input_file_list)):
            if input_file_list[i] is not None:
                dst_input_file = model_output_dir + '/' + \
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                        common.formatted_file_name(input_file_name,
                                                   input_name_list[i])
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                if input_file_list[i].startswith("http://") or \
                        input_file_list[i].startswith("https://"):
                    urllib.urlretrieve(input_file_list[i], dst_input_file)
                else:
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                    sh.cp("-f", input_file_list[i], dst_input_file)
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def update_mace_run_lib(model_output_dir,
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                        model_load_type,
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                        model_tag,
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                        embed_model_data):
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    mace_run_filepath = model_output_dir + "/mace_run"
    if os.path.exists(mace_run_filepath):
        sh.rm("-rf", mace_run_filepath)
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    sh.cp("-f", "bazel-bin/mace/tools/validation/mace_run", model_output_dir)
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    if embed_model_data == 0:
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        sh.cp("-f", "mace/codegen/models/%s/%s.data" % (model_tag, model_tag),
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              model_output_dir)

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    if model_load_type == "source":
        sh.cp("-f", "mace/codegen/models/%s/%s.h" % (model_tag, model_tag),
              model_output_dir)
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def create_internal_storage_dir(serialno, phone_data_dir):
    internal_storage_dir = "%s/interior/" % phone_data_dir
    sh.adb("-s", serialno, "shell", "mkdir", "-p", internal_storage_dir)
    return internal_storage_dir
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def tuning_run(abi,
               serialno,
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               vlog_level,
               embed_model_data,
               model_output_dir,
               input_nodes,
               output_nodes,
               input_shapes,
               output_shapes,
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               mace_model_dir,
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               model_tag,
               device_type,
               running_round,
               restart_round,
               limit_opencl_kernel_time,
               tuning,
               out_of_range_check,
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               phone_data_dir,
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               omp_num_threads=-1,
               cpu_affinity_policy=1,
               gpu_perf_hint=3,
               gpu_priority_hint=3,
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               valgrind=False,
               valgrind_path="/data/local/tmp/valgrind",
               valgrind_args="",
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               input_file_name="model_input",
               output_file_name="model_out"):
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    print("* Run '%s' with round=%s, restart_round=%s, tuning=%s, "
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          "out_of_range_check=%s, omp_num_threads=%s, cpu_affinity_policy=%s, "
          "gpu_perf_hint=%s, gpu_priority_hint=%s" %
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          (model_tag, running_round, restart_round, str(tuning),
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           str(out_of_range_check), omp_num_threads, cpu_affinity_policy,
           gpu_perf_hint, gpu_priority_hint))
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    if abi == "host":
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        if mace_model_dir:
            mace_model_path = "%s/%s.pb" % (mace_model_dir, model_tag)
        else:
            mace_model_path = ""
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        p = subprocess.Popen(
            [
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                "env",
                "MACE_CPP_MIN_VLOG_LEVEL=%s" % vlog_level,
                "%s/mace_run" % model_output_dir,
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                "--model_name=%s" % model_tag,
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                "--input_node=%s" % ",".join(input_nodes),
                "--output_node=%s" % ",".join(output_nodes),
                "--input_shape=%s" % ":".join(input_shapes),
                "--output_shape=%s" % ":".join(output_shapes),
                "--input_file=%s/%s" % (model_output_dir, input_file_name),
                "--output_file=%s/%s" % (model_output_dir, output_file_name),
                "--model_data_file=%s/%s.data" % (model_output_dir, model_tag),
                "--device=%s" % device_type,
                "--round=%s" % running_round,
                "--restart_round=%s" % restart_round,
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                "--omp_num_threads=%s" % omp_num_threads,
                "--cpu_affinity_policy=%s" % cpu_affinity_policy,
                "--gpu_perf_hint=%s" % gpu_perf_hint,
                "--gpu_priority_hint=%s" % gpu_priority_hint,
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                "--model_file=%s" % mace_model_path,
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            ],
            stderr=subprocess.PIPE,
            stdout=subprocess.PIPE)
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        out, err = p.communicate()
        stdout = err + out
        print stdout
        print("Running finished!\n")
        return stdout
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    else:
        sh.adb("-s", serialno, "shell", "mkdir", "-p", phone_data_dir)
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        internal_storage_dir = create_internal_storage_dir(
            serialno, phone_data_dir)
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        for input_name in input_nodes:
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            formatted_name = common.formatted_file_name(input_file_name,
                                                        input_name)
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            adb_push("%s/%s" % (model_output_dir, formatted_name),
                     phone_data_dir, serialno)
        adb_push("%s/mace_run" % model_output_dir, phone_data_dir,
                 serialno)
        if not embed_model_data:
            adb_push("%s/%s.data" % (model_output_dir, model_tag),
                     phone_data_dir, serialno)
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        adb_push("mace/third_party/nnlib/libhexagon_controller.so",
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                 phone_data_dir, serialno)

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        if mace_model_dir:
            mace_model_path = "%s/%s.pb" % (phone_data_dir, model_tag)
            adb_push("%s/%s.pb" % (mace_model_dir, model_tag),
                     mace_model_path,
                     serialno)
        else:
            mace_model_path = ""

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        stdout_buff = []
        process_output = make_output_processor(stdout_buff)
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        adb_cmd = [
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            "LD_LIBRARY_PATH=%s" % phone_data_dir,
            "MACE_TUNING=%s" % int(tuning),
            "MACE_OUT_OF_RANGE_CHECK=%s" % int(out_of_range_check),
            "MACE_CPP_MIN_VLOG_LEVEL=%s" % vlog_level,
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            "MACE_RUN_PARAMETER_PATH=%s/mace_run.config" % phone_data_dir,
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            "MACE_INTERNAL_STORAGE_PATH=%s" % internal_storage_dir,
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            "MACE_LIMIT_OPENCL_KERNEL_TIME=%s" % limit_opencl_kernel_time,
        ]
        if valgrind:
            adb_cmd.extend([
                "VALGRIND_LIB=%s" % valgrind_path + "/lib/valgrind",
                valgrind_path + "/bin/valgrind",
                valgrind_args
            ])
        adb_cmd.extend([
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            "%s/mace_run" % phone_data_dir,
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            "--model_name=%s" % model_tag,
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            "--input_node=%s" % ",".join(input_nodes),
            "--output_node=%s" % ",".join(output_nodes),
            "--input_shape=%s" % ":".join(input_shapes),
            "--output_shape=%s" % ":".join(output_shapes),
            "--input_file=%s/%s" % (phone_data_dir, input_file_name),
            "--output_file=%s/%s" % (phone_data_dir, output_file_name),
            "--model_data_file=%s/%s.data" % (phone_data_dir, model_tag),
            "--device=%s" % device_type,
            "--round=%s" % running_round,
            "--restart_round=%s" % restart_round,
            "--omp_num_threads=%s" % omp_num_threads,
            "--cpu_affinity_policy=%s" % cpu_affinity_policy,
            "--gpu_perf_hint=%s" % gpu_perf_hint,
            "--gpu_priority_hint=%s" % gpu_priority_hint,
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            "--model_file=%s" % mace_model_path,
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        ])
        adb_cmd = ' '.join(adb_cmd)
        p = sh.adb(
            "-s",
            serialno,
            "shell",
            adb_cmd,
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            _out=process_output,
            _bg=True,
            _err_to_out=True)
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        p.wait()
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        print("Running finished!\n")
        return "".join(stdout_buff)
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def validate_model(abi,
                   serialno,
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                   model_file_path,
                   weight_file_path,
                   platform,
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                   device_type,
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                   input_nodes,
                   output_nodes,
                   input_shapes,
                   output_shapes,
                   model_output_dir,
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                   phone_data_dir,
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                   caffe_env,
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                   input_file_name="model_input",
                   output_file_name="model_out"):
    print("* Validate with %s" % platform)
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    if abi != "host":
        for output_name in output_nodes:
            formatted_name = common.formatted_file_name(
                output_file_name, output_name)
            if os.path.exists("%s/%s" % (model_output_dir,
                                         formatted_name)):
                sh.rm("-rf", "%s/%s" % (model_output_dir, formatted_name))
            adb_pull("%s/%s" % (phone_data_dir, formatted_name),
                     model_output_dir, serialno)
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    if platform == "tensorflow":
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        validate(platform, model_file_path, "",
                 "%s/%s" % (model_output_dir, input_file_name),
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                 "%s/%s" % (model_output_dir, output_file_name), device_type,
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                 ":".join(input_shapes), ":".join(output_shapes),
                 ",".join(input_nodes), ",".join(output_nodes))
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    elif platform == "caffe":
        image_name = "mace-caffe:latest"
        container_name = "mace_caffe_validator"
        res_file = "validation.result"

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        if caffe_env == common.CaffeEnvType.LOCAL:
            import imp
            try:
                imp.find_module('caffe')
            except ImportError:
                logger.error('There is no caffe python module.')
            validate(platform, model_file_path, weight_file_path,
                     "%s/%s" % (model_output_dir, input_file_name),
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                     "%s/%s" % (model_output_dir, output_file_name),
                     device_type,
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                     ":".join(input_shapes), ":".join(output_shapes),
                     ",".join(input_nodes), ",".join(output_nodes))
        elif caffe_env == common.CaffeEnvType.DOCKER:
            docker_image_id = sh.docker("images", "-q", image_name)
            if not docker_image_id:
                print("Build caffe docker")
                sh.docker("build", "-t", image_name,
                          "mace/third_party/caffe")

            container_id = sh.docker("ps", "-qa", "-f",
                                     "name=%s" % container_name)
            if container_id and not sh.docker("ps", "-qa", "--filter",
                                              "status=running", "-f",
                                              "name=%s" % container_name):
                sh.docker("rm", "-f", container_name)
                container_id = ""
            if not container_id:
                print("Run caffe container")
                sh.docker(
                        "run",
                        "-d",
                        "-it",
                        "--name",
                        container_name,
                        image_name,
                        "/bin/bash")

            for input_name in input_nodes:
                formatted_input_name = common.formatted_file_name(
                        input_file_name, input_name)
                sh.docker(
                        "cp",
                        "%s/%s" % (model_output_dir, formatted_input_name),
                        "%s:/mace" % container_name)
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            for output_name in output_nodes:
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                formatted_output_name = common.formatted_file_name(
                        output_file_name, output_name)
                sh.docker(
                        "cp",
                        "%s/%s" % (model_output_dir, formatted_output_name),
                        "%s:/mace" % container_name)
            model_file_name = os.path.basename(model_file_path)
            weight_file_name = os.path.basename(weight_file_path)
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            sh.docker("cp", "tools/common.py", "%s:/mace" % container_name)
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            sh.docker("cp", "tools/validate.py", "%s:/mace" % container_name)
            sh.docker("cp", model_file_path, "%s:/mace" % container_name)
            sh.docker("cp", weight_file_path, "%s:/mace" % container_name)

            stdout_buff = []
            process_output = make_output_processor(stdout_buff)
            p = sh.docker(
                    "exec",
                    container_name,
                    "python",
                    "-u",
                    "/mace/validate.py",
                    "--platform=caffe",
                    "--model_file=/mace/%s" % model_file_name,
                    "--weight_file=/mace/%s" % weight_file_name,
                    "--input_file=/mace/%s" % input_file_name,
                    "--mace_out_file=/mace/%s" % output_file_name,
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                    "--device_type=%s" % device_type,
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                    "--input_node=%s" % ",".join(input_nodes),
                    "--output_node=%s" % ",".join(output_nodes),
                    "--input_shape=%s" % ":".join(input_shapes),
                    "--output_shape=%s" % ":".join(output_shapes),
                    _out=process_output,
                    _bg=True,
                    _err_to_out=True)
            p.wait()
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    print("Validation done!\n")


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def build_production_code(model_load_type, abi):
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    bazel_build("//mace/codegen:generated_opencl", abi=abi)
    bazel_build("//mace/codegen:generated_tuning_params", abi=abi)
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    if abi == 'host':
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        if model_load_type == "source":
            bazel_build(
                "//mace/codegen:generated_models",
                abi=abi)
        else:
            bazel_build("//mace/core:core", abi=abi)
            bazel_build("//mace/ops:ops", abi=abi)
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def merge_libs(target_soc,
               abi,
               project_name,
               libmace_output_dir,
               model_output_dirs,
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               mace_model_dirs_kv,
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               model_load_type,
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               hexagon_mode,
               embed_model_data):
    print("* Merge mace lib")
    project_output_dir = "%s/%s" % (libmace_output_dir, project_name)
    model_header_dir = "%s/include/mace/public" % project_output_dir
    model_data_dir = "%s/data" % project_output_dir
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    hexagon_lib_file = "mace/third_party/nnlib/libhexagon_controller.so"
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    model_bin_dir = "%s/%s/" % (project_output_dir, abi)

    if not os.path.exists(model_bin_dir):
        sh.mkdir("-p", model_bin_dir)
    if not os.path.exists(model_header_dir):
        sh.mkdir("-p", model_header_dir)
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    sh.cp("-f", glob.glob("mace/public/*.h"), model_header_dir)
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    if not os.path.exists(model_data_dir):
        sh.mkdir("-p", model_data_dir)
    if hexagon_mode:
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        sh.cp("-f", hexagon_lib_file, model_bin_dir)
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    if model_load_type == "source":
        sh.cp("-f", glob.glob("mace/codegen/engine/*.h"), model_header_dir)

    for model_output_dir in model_output_dirs:
        if not embed_model_data:
            sh.cp("-f", glob.glob("%s/*.data" % model_output_dir),
                  model_data_dir)
        if model_load_type == "source":
            sh.cp("-f", glob.glob("%s/*.h" % model_output_dir),
                  model_header_dir)

    for model_name in mace_model_dirs_kv:
        sh.cp("-f", "%s/%s.pb" % (mace_model_dirs_kv[model_name], model_name),
              model_data_dir)

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    mri_stream = ""
    if abi == "host":
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        mri_stream += "create %s/libmace_%s.a\n" % \
                      (model_bin_dir, project_name)
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        mri_stream += (
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            "addlib "
            "bazel-bin/mace/codegen/libgenerated_opencl.pic.a\n")
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        mri_stream += (
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            "addlib "
            "bazel-bin/mace/codegen/libgenerated_tuning_params.pic.a\n")
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        if model_load_type == "source":
            mri_stream += (
                "addlib "
                "bazel-bin/mace/codegen/libgenerated_models.pic.a\n")
        else:
            mri_stream += (
                "addlib "
                "bazel-bin/mace/core/libcore.pic.a\n")
            mri_stream += (
                "addlib "
                "bazel-bin/mace/ops/libops.pic.lo\n")
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    else:
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        mri_stream += "create %s/libmace_%s.%s.a\n" % \
                      (model_bin_dir, project_name, target_soc)
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        if model_load_type == "source":
            mri_stream += (
                "addlib "
                "bazel-bin/mace/codegen/libgenerated_models.a\n")
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        mri_stream += (
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            "addlib "
            "bazel-bin/mace/codegen/libgenerated_opencl.a\n")
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        mri_stream += (
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            "addlib "
            "bazel-bin/mace/codegen/libgenerated_tuning_params.a\n")
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        mri_stream += (
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            "addlib "
            "bazel-bin/mace/codegen/libgenerated_version.a\n")
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        mri_stream += (
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            "addlib "
            "bazel-bin/mace/core/libcore.a\n")
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        mri_stream += (
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            "addlib "
            "bazel-bin/mace/kernels/libkernels.a\n")
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        mri_stream += (
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            "addlib "
            "bazel-bin/mace/utils/libutils.a\n")
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        mri_stream += (
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            "addlib "
            "bazel-bin/mace/utils/libutils_prod.a\n")
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        mri_stream += (
            "addlib "
            "bazel-bin/mace/proto/libmace_cc.a\n")
        mri_stream += (
            "addlib "
            "bazel-bin/external/com_google_protobuf/libprotobuf_lite.a\n")
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        mri_stream += (
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            "addlib "
            "bazel-bin/mace/ops/libops.lo\n")
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    mri_stream += "save\n"
    mri_stream += "end\n"

    cmd = sh.Command("%s/toolchains/" % os.environ["ANDROID_NDK_HOME"] +
                     "aarch64-linux-android-4.9/prebuilt/linux-x86_64/" +
                     "bin/aarch64-linux-android-ar")

    cmd("-M", _in=mri_stream)

    print("Libs merged!\n")


def packaging_lib(libmace_output_dir, project_name):
    print("* Package libs for %s" % project_name)
    tar_package_name = "libmace_%s.tar.gz" % project_name
    project_dir = "%s/%s" % (libmace_output_dir, project_name)
    tar_package_path = "%s/%s" % (project_dir, tar_package_name)
    if os.path.exists(tar_package_path):
        sh.rm("-rf", tar_package_path)

    print("Start packaging '%s' libs into %s" % (project_name,
                                                 tar_package_path))
    # ls ${project_dir} -1 | grep -v build | grep -v .tar.gz | xargs -I {} \
    #       tar cvzf ${project_dir}/${tar_package_name} ${project_name}/{}
    sh.xargs(
            sh.grep(
                sh.grep(
                    sh.ls(project_dir, "-1"),
                    "-v", "build"),
                "-v", ".tar.gz"),
            "-I",
            "{}",
            "tar",
            "cvzf",
            "%s" % tar_package_path,
            "%s/{}" % project_dir)
    print("Packaging Done!\n")


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def build_benchmark_model(abi,
                          embed_model_data,
                          model_output_dir,
                          model_tag,
                          hexagon_mode):
    benchmark_binary_file = "%s/benchmark_model" % model_output_dir
    if os.path.exists(benchmark_binary_file):
        sh.rm("-rf", benchmark_binary_file)
    if not embed_model_data:
        sh.cp("-f", "mace/codegen/models/%s/%s.data" % (model_tag, model_tag),
              model_output_dir)

    benchmark_target = "//mace/benchmark:benchmark_model"
    bazel_build(benchmark_target,
                abi=abi,
                production_mode=True,
                hexagon_mode=hexagon_mode)

    target_bin = "/".join(bazel_target_to_bin(benchmark_target))
    sh.cp("-f", target_bin, model_output_dir)


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def benchmark_model(abi,
                    serialno,
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                    vlog_level,
                    embed_model_data,
                    model_output_dir,
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                    mace_model_dir,
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                    input_nodes,
                    output_nodes,
                    input_shapes,
                    output_shapes,
                    model_tag,
                    device_type,
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                    phone_data_dir,
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                    omp_num_threads=-1,
                    cpu_affinity_policy=1,
                    gpu_perf_hint=3,
                    gpu_priority_hint=3,
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                    input_file_name="model_input"):
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    print("* Benchmark for %s" % model_tag)

    stdout_buff = []
    process_output = make_output_processor(stdout_buff)
    if abi == "host":
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        if mace_model_dir:
            mace_model_path = "%s/%s.pb" % (mace_model_dir, model_tag)
        else:
            mace_model_path = ""
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        p = subprocess.Popen(
            [
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                "env",
                "MACE_CPP_MIN_VLOG_LEVEL=%s" % vlog_level,
                "%s/benchmark_model" % model_output_dir,
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                "--model_name=%s" % model_tag,
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                "--input_node=%s" % ",".join(input_nodes),
                "--output_node=%s" % ",".join(output_nodes),
                "--input_shape=%s" % ":".join(input_shapes),
                "--output_shape=%s" % ":".join(output_shapes),
                "--input_file=%s/%s" % (model_output_dir, input_file_name),
                "--model_data_file=%s/%s.data" % (model_output_dir, model_tag),
                "--device=%s" % device_type,
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                "--omp_num_threads=%s" % omp_num_threads,
                "--cpu_affinity_policy=%s" % cpu_affinity_policy,
                "--gpu_perf_hint=%s" % gpu_perf_hint,
                "--gpu_priority_hint=%s" % gpu_priority_hint,
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                "--model_file=%s" % mace_model_path,
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            ])
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        p.wait()
    else:
        sh.adb("-s", serialno, "shell", "mkdir", "-p", phone_data_dir)
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        internal_storage_dir = create_internal_storage_dir(
            serialno, phone_data_dir)
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        for input_name in input_nodes:
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            formatted_name = common.formatted_file_name(input_file_name,
                                                        input_name)
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            adb_push("%s/%s" % (model_output_dir, formatted_name),
                     phone_data_dir, serialno)
        adb_push("%s/benchmark_model" % model_output_dir, phone_data_dir,
                 serialno)
        if not embed_model_data:
            adb_push("%s/%s.data" % (model_output_dir, model_tag),
                     phone_data_dir, serialno)
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        if mace_model_dir:
            mace_model_path = "%s/%s.pb" % (phone_data_dir, model_tag)
            adb_push("%s/%s.pb" % (mace_model_dir, model_tag),
                     mace_model_path,
                     serialno)
        else:
            mace_model_path = ""

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        p = sh.adb(
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            "-s",
            serialno,
            "shell",
            "LD_LIBRARY_PATH=%s" % phone_data_dir,
            "MACE_CPP_MIN_VLOG_LEVEL=%s" % vlog_level,
            "MACE_RUN_PARAMETER_PATH=%s/mace_run.config" %
            phone_data_dir,
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            "MACE_INTERNAL_STORAGE_PATH=%s" % internal_storage_dir,
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            "MACE_OPENCL_PROFILING=1",
            "%s/benchmark_model" % phone_data_dir,
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            "--model_name=%s" % model_tag,
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            "--input_node=%s" % ",".join(input_nodes),
            "--output_node=%s" % ",".join(output_nodes),
            "--input_shape=%s" % ":".join(input_shapes),
            "--output_shape=%s" % ":".join(output_shapes),
            "--input_file=%s/%s" % (phone_data_dir, input_file_name),
            "--model_data_file=%s/%s.data" % (phone_data_dir, model_tag),
            "--device=%s" % device_type,
            "--omp_num_threads=%s" % omp_num_threads,
            "--cpu_affinity_policy=%s" % cpu_affinity_policy,
            "--gpu_perf_hint=%s" % gpu_perf_hint,
            "--gpu_priority_hint=%s" % gpu_priority_hint,
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            "--model_file=%s" % mace_model_path,
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            _out=process_output,
            _bg=True,
            _err_to_out=True)
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        p.wait()

    print("Benchmark done!\n")
    return "".join(stdout_buff)


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def build_run_throughput_test(abi,
                              serialno,
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                              vlog_level,
                              run_seconds,
                              merged_lib_file,
                              model_input_dir,
                              embed_model_data,
                              input_nodes,
                              output_nodes,
                              input_shapes,
                              output_shapes,
                              cpu_model_tag,
                              gpu_model_tag,
                              dsp_model_tag,
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                              phone_data_dir,
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                              strip="always",
                              input_file_name="model_input"):
    print("* Build and run throughput_test")

    model_tag_build_flag = ""
    if cpu_model_tag:
        model_tag_build_flag += "--copt=-DMACE_CPU_MODEL_TAG=%s " % \
                                cpu_model_tag
    if gpu_model_tag:
        model_tag_build_flag += "--copt=-DMACE_GPU_MODEL_TAG=%s " % \
                                gpu_model_tag
    if dsp_model_tag:
        model_tag_build_flag += "--copt=-DMACE_DSP_MODEL_TAG=%s " % \
                                dsp_model_tag

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    sh.cp("-f", merged_lib_file, "mace/benchmark/libmace_merged.a")
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    stdout_buff = []
    process_output = make_output_processor(stdout_buff)
    p = sh.bazel(
        "build",
        "-c",
        "opt",
        "--strip",
        strip,
        "--verbose_failures",
        "//mace/benchmark:model_throughput_test",
        "--crosstool_top=//external:android/crosstool",
        "--host_crosstool_top=@bazel_tools//tools/cpp:toolchain",
        "--cpu=%s" % abi,
        "--copt=-std=c++11",
        "--copt=-D_GLIBCXX_USE_C99_MATH_TR1",
        "--copt=-Werror=return-type",
        "--copt=-O3",
        "--define",
        "neon=true",
        "--define",
        "openmp=true",
        model_tag_build_flag,
        _out=process_output,
        _bg=True,
        _err_to_out=True)
    p.wait()

    sh.rm("mace/benchmark/libmace_merged.a")
    sh.adb("-s",
           serialno,
           "shell",
           "mkdir",
           "-p",
           phone_data_dir)
    adb_push("%s/%s_%s" % (model_input_dir, input_file_name,
                           ",".join(input_nodes)),
             phone_data_dir,
             serialno)
    adb_push("bazel-bin/mace/benchmark/model_throughput_test",
             phone_data_dir,
             serialno)
    if not embed_model_data:
        adb_push("codegen/models/%s/%s.data" % cpu_model_tag,
                 phone_data_dir,
                 serialno)
        adb_push("codegen/models/%s/%s.data" % gpu_model_tag,
                 phone_data_dir,
                 serialno)
        adb_push("codegen/models/%s/%s.data" % dsp_model_tag,
                 phone_data_dir,
                 serialno)
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    adb_push("mace/third_party/nnlib/libhexagon_controller.so",
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             phone_data_dir,
             serialno)

    p = sh.adb(
            "-s",
            serialno,
            "shell",
            "LD_LIBRARY_PATH=%s" % phone_data_dir,
            "MACE_CPP_MIN_VLOG_LEVEL=%s" % vlog_level,
            "MACE_RUN_PARAMETER_PATH=%s/mace_run.config" %
            phone_data_dir,
            "%s/model_throughput_test" % phone_data_dir,
            "--input_node=%s" % ",".join(input_nodes),
            "--output_node=%s" % ",".join(output_nodes),
            "--input_shape=%s" % ":".join(input_shapes),
            "--output_shape=%s" % ":".join(output_shapes),
            "--input_file=%s/%s" % (phone_data_dir, input_file_name),
            "--cpu_model_data_file=%s/%s.data" % (phone_data_dir,
                                                  cpu_model_tag),
            "--gpu_model_data_file=%s/%s.data" % (phone_data_dir,
                                                  gpu_model_tag),
            "--dsp_model_data_file=%s/%s.data" % (phone_data_dir,
                                                  dsp_model_tag),
            "--run_seconds=%s" % run_seconds,
            _out=process_output,
            _bg=True,
            _err_to_out=True)
    p.wait()

    print("throughput_test done!\n")


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################################
# falcon
################################
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def falcon_tags(tags_dict):
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    tags = ""
    for k, v in tags_dict.iteritems():
        if tags == "":
            tags = "%s=%s" % (k, v)
        else:
            tags = tags + ",%s=%s" % (k, v)
    return tags
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def falcon_push_metrics(server, metrics, endpoint="mace_dev", tags={}):
    cli = falcon_cli.FalconCli.connect(server=server, port=8433, debug=False)
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    ts = int(time.time())
    falcon_metrics = [{
        "endpoint": endpoint,
        "metric": key,
        "tags": falcon_tags(tags),
        "timestamp": ts,
        "value": value,
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        "step": 600,
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        "counterType": "GAUGE"
    } for key, value in metrics.iteritems()]
    cli.update(falcon_metrics)