Exemplos de get_logger em Python

Exemplo n.º 1

Arquivo: test_auto_checkpoint2.py Projeto: goodcoder-cnn/Paddle

    def setUp(self):
        get_logger()
        logger.info("enter tests")

        self._old_environ = dict(os.environ)
        proc_env = {
            "PADDLE_RUNNING_ENV": "PADDLE_EDL_AUTO_CHECKPOINT",
            "PADDLE_TRAINER_ID": "0",
            "PADDLE_RUNNING_PLATFORM": "PADDLE_CLOUD",
            "PADDLE_JOB_ID": "test_job_auto_2",
            "PADDLE_EDL_HDFS_HOME": "/usr/local/hadoop-2.7.7",
            "PADDLE_EDL_HDFS_NAME": "",
            "PADDLE_EDL_HDFS_UGI": "",
            "PADDLE_EDL_HDFS_CHECKPOINT_PATH": "auto_checkpoint_2",
            "PADDLE_EDL_ONLY_FOR_CE_TEST": "1",
            "PADDLE_EDL_FS_CACHE": ".auto_checkpoint_test_2",
            "PADDLE_EDL_SAVE_CHECKPOINT_INTER": "0"
        }
        os.environ.update(proc_env)

Exemplo n.º 2

Arquivo: test_auto_checkpoint2.py Projeto: goodcoder-cnn/Paddle

import os
import sys

from paddle.distributed.fleet.utils.fs import LocalFS, HDFSClient
import paddle.fluid.incubate.checkpoint.auto_checkpoint as acp
from paddle.fluid.incubate.checkpoint.checkpoint_saver import PaddleModel
from paddle.fluid.framework import program_guard
from paddle.fluid import unique_name

import numpy as np
from paddle.io import Dataset, BatchSampler, DataLoader

from paddle.fluid.tests.unittests.auto_checkpoint_utils import AutoCheckpointBase, get_logger
from paddle.fluid.tests.unittests.test_auto_checkpoint import AutoCheckPointACLBase

logger = get_logger()


class AutoCheckpointTest2(AutoCheckPointACLBase):
    def setUp(self):
        get_logger()
        logger.info("enter tests")

        self._old_environ = dict(os.environ)
        proc_env = {
            "PADDLE_RUNNING_ENV": "PADDLE_EDL_AUTO_CHECKPOINT",
            "PADDLE_TRAINER_ID": "0",
            "PADDLE_RUNNING_PLATFORM": "PADDLE_CLOUD",
            "PADDLE_JOB_ID": "test_job_auto_2",
            "PADDLE_EDL_HDFS_HOME": "/usr/local/hadoop-2.7.7",
            "PADDLE_EDL_HDFS_NAME": "",