国产探花免费观看_亚洲丰满少妇自慰呻吟_97日韩有码在线_资源在线日韩欧美_一区二区精品毛片,辰东完美世界有声小说,欢乐颂第一季,yy玄幻小说排行榜完本

首頁 > 編程 > Python > 正文

在tensorflow中實現(xiàn)屏蔽輸出的log信息

2020-02-15 21:26:10
字體:
來源:轉載
供稿:網友

tensorflow中可以通過配置環(huán)境變量 'TF_CPP_MIN_LOG_LEVEL' 的值,控制tensorflow是否屏蔽通知信息、警告、報錯等輸出信息。

使用方法:

import osimport tensorflow as tf os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2'}

TF_CPP_MIN_LOG_LEVEL 取值 0 : 0也是默認值,輸出所有信息

TF_CPP_MIN_LOG_LEVEL 取值 1 : 屏蔽通知信息

TF_CPP_MIN_LOG_LEVEL 取值 2 : 屏蔽通知信息和警告信息

TF_CPP_MIN_LOG_LEVEL 取值 3 : 屏蔽通知信息、警告信息和報錯信息

測試代碼:

import tensorflow as tfimport os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '0'# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '1'# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' v1 = tf.constant([1.0, 2.0, 3.0], shape=[3], name='v1')v2 = tf.constant([1.0, 2.0, 3.0], shape=[3], name='v2')sumV12 = v1 + v2 with tf.Session(config=tf.ConfigProto(log_device_placement=True)) as sess: print sess.run(sumV12)

TF_CPP_MIN_LOG_LEVEL 為 0 的輸出:

2018-04-21 14:59:09.910415: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.2018-04-21 14:59:09.910442: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.2018-04-21 14:59:09.910448: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.2018-04-21 14:59:09.910453: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.2018-04-21 14:59:09.910457: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.2018-04-21 14:59:09.911260: I tensorflow/core/common_runtime/direct_session.cc:300] Device mapping:2018-04-21 14:59:09.911816: I tensorflow/core/common_runtime/simple_placer.cc:872] add: (Add)/job:localhost/replica:0/task:0/cpu:02018-04-21 14:59:09.911835: I tensorflow/core/common_runtime/simple_placer.cc:872] v2: (Const)/job:localhost/replica:0/task:0/cpu:02018-04-21 14:59:09.911841: I tensorflow/core/common_runtime/simple_placer.cc:872] v1: (Const)/job:localhost/replica:0/task:0/cpu:0Device mapping: no known devices.add: (Add): /job:localhost/replica:0/task:0/cpu:0v2: (Const): /job:localhost/replica:0/task:0/cpu:0v1: (Const): /job:localhost/replica:0/task:0/cpu:0[ 2. 4. 6.]

值為0也是默認的輸出,分為三部分,一個是警告信息說沒有優(yōu)化加速,二是通知信息告知操作所用的設備,三是程序中代碼指定要輸出的結果信息

發(fā)表評論 共有條評論
用戶名: 密碼:
驗證碼: 匿名發(fā)表
主站蜘蛛池模板: 额尔古纳市| 龙山县| 林周县| 沧州市| 永宁县| 宜兰县| 桐梓县| 安图县| 当雄县| 谢通门县| 云林县| 茶陵县| 谢通门县| 云阳县| 沙坪坝区| 海伦市| 色达县| 丰城市| 太仆寺旗| 新建县| 巴彦淖尔市| 张北县| 中牟县| 渝北区| 武定县| 文水县| 东阳市| 南充市| 茂名市| 嵊州市| 阿拉善左旗| 克什克腾旗| 文水县| 崇州市| 扬州市| 申扎县| 清涧县| 兴仁县| 湘潭县| 清远市| 梧州市|