#!/usr/bin/env python
# -*- coding: utf-8 -*-

from .ernie import *  # noqa: F401, F403
from tensorflow.python.client import device_lib
import logging

__version__ = '1.0.1'

logging.getLogger().setLevel(logging.WARNING)
logging.getLogger("transformers.tokenization_utils").setLevel(logging.ERROR)
logging.basicConfig(
    format='%(asctime)-15s [%(levelname)s] %(message)s',
    datefmt='%Y-%m-%d %H:%M:%S'
)


def _get_cpu_name():
    import cpuinfo
    cpu_info = cpuinfo.get_cpu_info()
    cpu_name = f"{cpu_info['brand_raw']}, {cpu_info['count']} vCores"
    return cpu_name


def _get_gpu_name():
    gpu_name = \
        device_lib\
        .list_local_devices()[3]\
        .physical_device_desc\
        .split(',')[1]\
        .split('name:')[1]\
        .strip()
    return gpu_name


device_name = _get_cpu_name()
device_type = 'CPU'

try:
    device_name = _get_gpu_name()
    device_type = 'GPU'
except IndexError:
    # Detect TPU
    pass

logging.info(f'ernie v{__version__}')
logging.info(f'target device: [{device_type}] {device_name}\n')