mindspore/mindspore/_check_version.py

# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================
"""version and config check"""
import os
import sys
import subprocess
from pathlib import Path
from abc import abstractmethod, ABCMeta
import numpy as np
from packaging import version
from . import log as logger
from .version import __version__
from .default_config import __package_name__


class EnvChecker(metaclass=ABCMeta):
    """basic class for environment check"""

    @abstractmethod
    def check_env(self, e):
        pass

    @abstractmethod
    def set_env(self):
        pass

    @abstractmethod
    def check_version(self):
        pass


class GPUEnvChecker(EnvChecker):
    """GPU environment check."""

    def __init__(self):
        self.version = ["10.1", "11.1"]
        self.lib_key_to_lib_name = {'libcu': 'libcuda.so'}
        # env
        self.path = os.getenv("PATH")
        self.ld_lib_path = os.getenv("LD_LIBRARY_PATH")

        # check
        self.v = "0"
        self.cuda_lib_path = self._get_lib_path("libcu")
        self.cuda_bin_path = self._get_bin_path("cuda")
        self.cudnn_lib_path = self._get_lib_path("libcudnn")

    def check_env(self, e):
        raise e

    def set_env(self):
        return

    def _get_bin_path(self, bin_name):
        """Get bin path by bin name."""
        if bin_name == "cuda":
            return self._get_cuda_bin_path()
        return []

    def _get_cuda_bin_path(self):
        """Get cuda bin path by lib path."""
        path_list = []
        for path in self.cuda_lib_path:
            path = os.path.abspath(path.strip()+"/bin/")
            if Path(path).is_dir():
                path_list.append(path)
        return np.unique(path_list)

    def _get_nvcc_version(self, is_set_env):
        """Get cuda version by nvcc command."""
        nvcc_result = subprocess.run(["nvcc --version | grep release"],
                                     timeout=3, text=True, capture_output=True, check=False, shell=True)
        if nvcc_result.returncode:
            if not is_set_env:
                for path in self.cuda_bin_path:
                    if Path(path + "/nvcc").is_file():
                        os.environ['PATH'] = path + ":" + os.environ['PATH']
                        return self._get_nvcc_version(True)
            return ""
        result = nvcc_result.stdout
        for line in result.split('\n'):
            if line:
                return line.strip().split("release")[1].split(",")[0].strip()
        return ""

    def _get_cudnn_version(self):
        """Get cudnn version by libcudnn.so."""
        cudnn_version = []
        for path in self.cudnn_lib_path:
            ls_cudnn = subprocess.run(["ls " + path + "/lib64/libcudnn.so.*.*"], timeout=10, text=True,
                                      capture_output=True, check=False, shell=True)
            if ls_cudnn.returncode == 0:
                cudnn_version = ls_cudnn.stdout.split('/')[-1].strip('libcudnn.so.').strip().split('.')
                if len(cudnn_version) == 2:
                    cudnn_version.append('0')
                break
        version_str = ''.join([n for n in cudnn_version])
        return version_str

    def check_version(self):
        """Check cuda version."""
        version_match = False
        for path in self.cuda_lib_path:
            version_file = path + "/version.txt"
            if not Path(version_file).is_file():
                continue
            if self._check_version(version_file):
                version_match = True
                break
        if not version_match:
            if self.v == "0":
                logger.warning("Cuda version file version.txt is not found, please confirm that the correct "
                               "cuda version has been installed, you can refer to the "
                               "installation guidelines: https://www.mindspore.cn/install")
            else:
                logger.warning(f"MindSpore version {__version__} and cuda version {self.v} does not match, "
                               "please refer to the installation guide for version matching "
                               "information: https://www.mindspore.cn/install")
        nvcc_version = self._get_nvcc_version(False)
        if nvcc_version and (nvcc_version not in self.version):
            logger.warning(f"MindSpore version {__version__} and nvcc(cuda bin) version {nvcc_version} "
                           "does not match, please refer to the installation guide for version matching "
                           "information: https://www.mindspore.cn/install")
        cudnn_version = self._get_cudnn_version()
        if cudnn_version and int(cudnn_version) < 760:
            logger.warning(f"MindSpore version {__version__} and cudDNN version {cudnn_version} "
                           "does not match, please refer to the installation guide for version matching "
                           "information: https://www.mindspore.cn/install. The recommended version is "
                           "CUDA10.1 with cuDNN7.6.x and CUAD11.1 with cuDNN8.0.x")
        if cudnn_version and int(cudnn_version) < 800 and int(str(self.v).split('.')[0]) > 10:
            logger.warning(f"CUDA version {self.v} and cuDNN version {cudnn_version} "
                           "does not match, please refer to the installation guide for version matching "
                           "information: https://www.mindspore.cn/install. The recommended version is "
                           "CUAD11.1 with cuDNN8.0.x")

    def _check_version(self, version_file):
        """Check cuda version by version.txt."""
        v = self._read_version(version_file)
        v = version.parse(v)
        v_str = str(v.major) + "." + str(v.minor)
        if v_str not in self.version:
            return False
        return True

    def _get_lib_path(self, lib_name):
        """Get gpu lib path by ldd command."""
        path_list = []
        current_path = os.path.split(os.path.realpath(__file__))[0]
        try:
            ldd_result = subprocess.run(["ldd " + current_path + "/_c_expression*.so* | grep " + lib_name],
                                        timeout=10, text=True, capture_output=True, check=False, shell=True)
            if ldd_result.returncode:
                logger.error(f"{self.lib_key_to_lib_name[lib_name]} (need by mindspore-gpu) is not found, please "
                             f"confirm that _c_expression.so is in directory:{current_path} and the correct cuda "
                             "version has been installed, you can refer to the installation "
                             "guidelines: https://www.mindspore.cn/install")
                return path_list
            result = ldd_result.stdout
            for i in result.split('\n'):
                path = i.partition("=>")[2]
                if path.lower().find("not found") > 0:
                    logger.warning(f"Cuda {self.version} version(need by mindspore-gpu) is not found, please confirm "
                                   "that the path of cuda is set to the env LD_LIBRARY_PATH, please refer to the "
                                   "installation guidelines: https://www.mindspore.cn/install")
                    continue
                path = path.partition(lib_name)[0]
                if path:
                    path_list.append(os.path.abspath(path.strip() + "../"))
            return np.unique(path_list)
        except subprocess.TimeoutExpired:
            logger.warning("Failed to check cuda version due to the ldd command timeout, please confirm that "
                           "the correct cuda version has been installed, you can refer to the "
                           "installation guidelines: https://www.mindspore.cn/install")
            return path_list

    def _read_version(self, file_path):
        """Get gpu version info in version.txt."""
        with open(file_path, 'r') as f:
            all_info = f.readlines()
            for line in all_info:
                if line.startswith("CUDA Version"):
                    self.v = line.strip().split("CUDA Version")[1]
                    return self.v
        return self.v


class AscendEnvChecker(EnvChecker):
    """ascend environment check"""

    def __init__(self):
        self.version = ["1.78.T2.0.B020"]
        atlas_nnae_version = "/usr/local/Ascend/nnae/latest/fwkacllib/version.info"
        atlas_toolkit_version = "/usr/local/Ascend/ascend-toolkit/latest/fwkacllib/version.info"
        hisi_fwk_version = "/usr/local/Ascend/fwkacllib/version.info"
        if os.path.exists(atlas_nnae_version):
            # atlas default path
            self.fwk_path = "/usr/local/Ascend/nnae/latest/fwkacllib"
            self.op_impl_path = "/usr/local/Ascend/nnae/latest/opp/op_impl/built-in/ai_core/tbe"
            self.tbe_path = self.fwk_path + "/lib64"
            self.cce_path = self.fwk_path + "/ccec_compiler/bin"
            self.fwk_version = atlas_nnae_version
            self.op_path = "/usr/local/Ascend/nnae/latest/opp"
        elif os.path.exists(atlas_toolkit_version):
            # atlas default path
            self.fwk_path = "/usr/local/Ascend/ascend-toolkit/latest/fwkacllib"
            self.op_impl_path = "/usr/local/Ascend/ascend-toolkit/latest/opp/op_impl/built-in/ai_core/tbe"
            self.tbe_path = self.fwk_path + "/lib64"
            self.cce_path = self.fwk_path + "/ccec_compiler/bin"
            self.fwk_version = atlas_toolkit_version
            self.op_path = "/usr/local/Ascend/ascend-toolkit/latest/opp"
        elif os.path.exists(hisi_fwk_version):
            # hisi default path
            self.fwk_path = "/usr/local/Ascend/fwkacllib"
            self.op_impl_path = "/usr/local/Ascend/opp/op_impl/built-in/ai_core/tbe"
            self.tbe_path = self.fwk_path + "/lib64"
            self.cce_path = self.fwk_path + "/ccec_compiler/bin"
            self.fwk_version = hisi_fwk_version
            self.op_path = "/usr/local/Ascend/opp"
        else:
            # custom or unknown environment
            self.fwk_path = ""
            self.op_impl_path = ""
            self.tbe_path = ""
            self.cce_path = ""
            self.fwk_version = ""
            self.op_path = ""

        # env
        self.path = os.getenv("PATH")
        self.python_path = os.getenv("PYTHONPATH")
        self.ld_lib_path = os.getenv("LD_LIBRARY_PATH")
        self.ascend_opp_path = os.getenv("ASCEND_OPP_PATH")

        # check content
        self.path_check = "/fwkacllib/ccec_compiler/bin"
        self.python_path_check = "opp/op_impl/built-in/ai_core/tbe"
        self.ld_lib_path_check_fwk = "/fwkacllib/lib64"
        self.ld_lib_path_check_addons = "/add-ons"
        self.ascend_opp_path_check = "/op"
        self.v = ""

    def check_env(self, e):
        self._check_env()
        raise e

    def check_version(self):
        if not Path(self.fwk_version).is_file():
            logger.warning("Using custom Ascend 910 AI software package path, package version checking is skipped, "
                           "please make sure Ascend 910 AI software package version is supported, you can reference to "
                           "the installation guidelines https://www.mindspore.cn/install")
            return

        v = self._read_version(self.fwk_version)
        if v not in self.version:
            v_list = str([x for x in self.version])
            logger.warning(f"MindSpore version {__version__} and Ascend 910 AI software package version {v} does not "
                           f"match, the version of software package expect one of {v_list}, "
                           "please reference to the match info on: https://www.mindspore.cn/install")

    def check_deps_version(self):
        """
            te, topi, hccl wheel package version check
            in order to update the change of 'LD_LIBRARY_PATH' env, run a sub process
        """
        input_args = ["--mindspore_version=" + __version__]
        for v in self.version:
            input_args.append("--supported_version=" + v)
        deps_version_checker = os.path.join(os.path.split(os.path.realpath(__file__))[0], "_check_deps_version.py")
        call_cmd = [sys.executable, deps_version_checker] + input_args
        try:
            process = subprocess.run(call_cmd, timeout=3, text=True, capture_output=True, check=False)
            if process.stdout.strip() != "":
                logger.warning(process.stdout.strip())
        except subprocess.TimeoutExpired:
            logger.info("Package te, topi, hccl version check timed out, skip.")

    def set_env(self):
        if not self.tbe_path:
            self._check_env()
            return

        try:
            import te
        except Exception:
            if Path(self.tbe_path).is_dir():
                if os.getenv('LD_LIBRARY_PATH'):
                    os.environ['LD_LIBRARY_PATH'] = self.tbe_path + ":" + os.environ['LD_LIBRARY_PATH']
                else:
                    os.environ['LD_LIBRARY_PATH'] = self.tbe_path
            else:
                raise EnvironmentError(
                    f"No such directory: {self.tbe_path}, Please check if Ascend 910 AI software package is "
                    "installed correctly.")

        # check te version after set te env
        self.check_deps_version()

        if Path(self.op_impl_path).is_dir():
            # python path for sub process
            if os.getenv('PYTHONPATH'):
                os.environ['PYTHONPATH'] = self.op_impl_path + ":" + os.environ['PYTHONPATH']
            else:
                os.environ['PYTHONPATH'] = self.op_impl_path
            # sys path for this process
            sys.path.append(self.op_impl_path)

            os.environ['TBE_IMPL_PATH'] = self.op_impl_path
        else:
            raise EnvironmentError(
                f"No such directory: {self.op_impl_path}, Please check if Ascend 910 AI software package is "
                "installed correctly.")

        if Path(self.cce_path).is_dir():
            os.environ['PATH'] = self.cce_path + ":" + os.environ['PATH']
        else:
            raise EnvironmentError(
                f"No such directory: {self.cce_path}, Please check if Ascend 910 AI software package is "
                "installed correctly.")

        if self.op_path is None:
            pass
        elif Path(self.op_path).is_dir():
            os.environ['ASCEND_OPP_PATH'] = self.op_path
        else:
            raise EnvironmentError(
                f"No such directory: {self.op_path}, Please check if Ascend 910 AI software package is "
                "installed correctly.")

    def _check_env(self):
        """ascend dependence path check"""
        if self.path is None or self.path_check not in self.path:
            logger.warning("Can not find ccec_compiler(need by mindspore-ascend), please check if you have set env "
                           "PATH, you can reference to the installation guidelines https://www.mindspore.cn/install")

        if self.python_path is None or self.python_path_check not in self.python_path:
            logger.warning(
                "Can not find tbe op implement(need by mindspore-ascend), please check if you have set env "
                "PYTHONPATH, you can reference to the installation guidelines "
                "https://www.mindspore.cn/install")

        if self.ld_lib_path is None or not (self.ld_lib_path_check_fwk in self.ld_lib_path and
                                            self.ld_lib_path_check_addons in self.ld_lib_path):
            logger.warning("Can not find driver so(need by mindspore-ascend), please check if you have set env "
                           "LD_LIBRARY_PATH, you can reference to the installation guidelines "
                           "https://www.mindspore.cn/install")

        if self.ascend_opp_path is None or self.ascend_opp_path_check not in self.ascend_opp_path:
            logger.warning(
                "Can not find opp path (need by mindspore-ascend), please check if you have set env ASCEND_OPP_PATH, "
                "you can reference to the installation guidelines https://www.mindspore.cn/install")

    def _read_version(self, file_path):
        """get ascend version info"""
        with open(file_path, 'r') as f:
            all_info = f.readlines()
            for line in all_info:
                if line.startswith("Version="):
                    self.v = line.strip().split("=")[1]
                    return self.v
        return self.v


def check_version_and_env_config():
    """check version and env config"""
    if __package_name__.lower() == "mindspore-ascend":
        env_checker = AscendEnvChecker()
    elif __package_name__.lower() == "mindspore-gpu":
        env_checker = GPUEnvChecker()
    else:
        logger.info(f"Package version {__package_name__} does not need to check any environment variable, skipping.")
        return

    try:
        from . import _c_expression
        # check version of ascend site or cuda
        env_checker.check_version()

        env_checker.set_env()
    except ImportError as e:
        env_checker.check_env(e)


def _set_pb_env():
    """Set env variable `PROTOCOL_BUFFERS` to prevent memory overflow."""
    if os.getenv("PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION") == "cpp":
        logger.info("Current env variable `PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp`. "
                    "When the checkpoint file is too large, "
                    "it may cause memory limit error during load checkpoint file. "
                    "This can be solved by set env `PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python`.")
    elif os.getenv("PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION") is None:
        logger.info("Setting the env `PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python` to prevent memory overflow "
                    "during save or load checkpoint file.")
        os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"


check_version_and_env_config()
_set_pb_env()