I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll Traceback (most recent call last): File "G:/pycharm/mycode-ZZQ/TensorflowDemo/demo1.py", line 7, in <module> a_ph = tf.placeholder(tf.float32, name='variable_a') AttributeError: module 'tensorflow' has no attribute 'placeholder' 大佬有知道怎么回事嘛，我卸载又安装还是不管用

小白刚接触tensorflow，想用tensorboard将网络可视化，但在cmd输入tensorboard时报错：'tensorflow.python.estimator.api.estimator' has no attribute 'SessionRunHook' 装有： tensorflow1.14.0 tensorboard1.14.0 tensorflow-estimator1.14.0    

我电脑上安装的是tensorflow2.0版本，在配置object-dectection API时出现了AttributeError: module 'tensorflow' has no attribute 'contrib'的问题，请懂的老师帮忙解答一下，十分感谢

(TF2.1) C:\Users\lenovo>pip install tensorflow==2.1 Requirement already satisfied: tensorflow==2.1 in f:\anaconda3\envs\tf2.1\lib\site-packages (2.1.0) Requirement already satisfied: termcolor>=1.1.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.1.0) Requirement already satisfied: protobuf>=3.8.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (3.11.3) Requirement already satisfied: absl-py>=0.7.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (0.9.0) Requirement already satisfied: opt-einsum>=2.3.2 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (3.2.1) Requirement already satisfied: google-pasta>=0.1.6 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (0.2.0) Requirement already satisfied: wheel>=0.26; python_version >= "3" in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (0.34.2) Requirement already satisfied: wrapt>=1.11.1 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.12.1) Requirement already satisfied: gast==0.2.2 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (0.2.2) Requirement already satisfied: six>=1.12.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.14.0) Requirement already satisfied: numpy<2.0,>=1.16.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.18.4) Requirement already satisfied: tensorboard<2.2.0,>=2.1.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (2.1.1) Requirement already satisfied: tensorflow-estimator<2.2.0,>=2.1.0rc0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (2.1.0) Requirement already satisfied: grpcio>=1.8.6 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.28.1) Requirement already satisfied: astor>=0.6.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (0.8.1) Requirement already satisfied: scipy==1.4.1; python_version >= "3" in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.4.1) Requirement already satisfied: keras-applications>=1.0.8 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.0.8) Requirement already satisfied: keras-preprocessing>=1.1.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.1.0) Requirement already satisfied: setuptools in f:\anaconda3\envs\tf2.1\lib\site-packages (from protobuf>=3.8.0->tensorflow==2.1) (46.1.3.post20200330) Requirement already satisfied: markdown>=2.6.8 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (3.2.1) Requirement already satisfied: google-auth<2,>=1.6.3 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (1.14.1) Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (0.4.1) Requirement already satisfied: werkzeug>=0.11.15 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (1.0.1) Requirement already satisfied: requests<3,>=2.21.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (2.23.0) Requirement already satisfied: h5py in f:\anaconda3\envs\tf2.1\lib\site-packages (from keras-applications>=1.0.8->tensorflow==2.1) (2.10.0) Requirement already satisfied: pyasn1-modules>=0.2.1 in f:\anaconda3\envs\tf2.1\lib\site-packages (from google-auth<2,>=1.6.3->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (0.2.8) Requirement already satisfied: rsa<4.1,>=3.1.4 in f:\anaconda3\envs\tf2.1\lib\site-packages (from google-auth<2,>=1.6.3->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (4.0) Requirement already satisfied: cachetools<5.0,>=2.0.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from google-auth<2,>=1.6.3->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (4.1.0) Requirement already satisfied: requests-oauthlib>=0.7.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (1.3.0) Requirement already satisfied: chardet<4,>=3.0.2 in f:\anaconda3\envs\tf2.1\lib\site-packages (from requests<3,>=2.21.0->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (3.0.4) Requirement already satisfied: idna<3,>=2.5 in f:\anaconda3\envs\tf2.1\lib\site-packages (from requests<3,>=2.21.0->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (2.9) Requirement already satisfied: certifi>=2017.4.17 in f:\anaconda3\envs\tf2.1\lib\site-packages (from requests<3,>=2.21.0->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (2020.4.5.1) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in f:\anaconda3\envs\tf2.1\lib\site-packages (from requests<3,>=2.21.0->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (1.25.9) Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in f:\anaconda3\envs\tf2.1\lib\site-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (0.4.8) Requirement already satisfied: oauthlib>=3.0.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (3.1.0) (TF2.1) C:\Users\lenovo>python Python 3.7.7 (default, Apr 15 2020, 05:09:04) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow as tf Traceback (most recent call last): File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 58, in <module> from tensorflow.python.pywrap_tensorflow_internal import * File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 28, in <module> _pywrap_tensorflow_internal = swig_import_helper() File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description) File "F:\anaconda3\envs\TF2.1\lib\imp.py", line 242, in load_module return load_dynamic(name, filename, file) File "F:\anaconda3\envs\TF2.1\lib\imp.py", line 342, in load_dynamic return _load(spec) ImportError: DLL load failed: 找不到指定的模块。 During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow\__init__.py", line 101, in <module> from tensorflow_core import * File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\__init__.py", line 40, in <module> from tensorflow.python.tools import module_util as _module_util File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow\__init__.py", line 50, in __getattr__ module = self._load() File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow\__init__.py", line 44, in _load module = _importlib.import_module(self.__name__) File "F:\anaconda3\envs\TF2.1\lib\importlib\__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\__init__.py", line 49, in <module> from tensorflow.python import pywrap_tensorflow File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 74, in <module> raise ImportError(msg) ImportError: Traceback (most recent call last): File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 58, in <module> from tensorflow.python.pywrap_tensorflow_internal import * File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 28, in <module> _pywrap_tensorflow_internal = swig_import_helper() File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description) File "F:\anaconda3\envs\TF2.1\lib\imp.py", line 242, in load_module return load_dynamic(name, filename, file) File "F:\anaconda3\envs\TF2.1\lib\imp.py", line 342, in load_dynamic return _load(spec) ImportError: DLL load failed: 找不到指定的模块。 Failed to load the native TensorFlow runtime. See https://www.tensorflow.org/install/errors for some common reasons and solutions. Include the entire stack trace above this error message when asking for help.

rt 报错信息如下： ``` Exception in thread Reloader: Traceback (most recent call last): File "C:\Anaconda3\lib\threading.py", line 914, in _bootstrap_inner self.run() File "C:\Anaconda3\lib\threading.py", line 862, in run self._target(*self._args, **self._kwargs) File "C:\Anaconda3\lib\site-packages\tensorboard\backend\application.py", line 371, in _reload reload_multiplexer(multiplexer, path_to_run) File "C:\Anaconda3\lib\site-packages\tensorboard\backend\application.py", line 338, in reload_multiplexer multiplexer.Reload() File "C:\Anaconda3\lib\site-packages\tensorboard\backend\event_processing\plugin_event_multiplexer.py", line 238, in Reload Worker() File "C:\Anaconda3\lib\site-packages\tensorboard\backend\event_processing\plugin_event_multiplexer.py", line 216, in Worker accumulator.Reload() File "C:\Anaconda3\lib\site-packages\tensorboard\backend\event_processing\plugin_event_accumulator.py", line 170, in Reload self._ProcessEvent(event) File "C:\Anaconda3\lib\site-packages\tensorboard\backend\event_processing\plugin_event_accumulator.py", line 318, in _ProcessEvent value = data_compat.migrate_value(value) File "C:\Anaconda3\lib\site-packages\tensorboard\data_compat.py", line 57, in migrate_value return handler(value) if handler else value File "C:\Anaconda3\lib\site-packages\tensorboard\data_compat.py", line 106, in _migrate_scalar_value tensor_proto = tf.make_tensor_proto(scalar_value) AttributeError: module 'tensorflow' has no attribute 'make_tensor_proto' TensorBoard 1.10.0 at http://0.0.0.0:6006 (Press CTRL+C to quit) ```

(TF2.1) C:\Users\lenovo>pip install tensorflow==2.1 Requirement already satisfied: tensorflow==2.1 in f:\anaconda3\envs\tf2.1\lib\site-packages (2.1.0) Requirement already satisfied: termcolor>=1.1.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.1.0) Requirement already satisfied: protobuf>=3.8.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (3.11.3) Requirement already satisfied: absl-py>=0.7.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (0.9.0) Requirement already satisfied: opt-einsum>=2.3.2 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (3.2.1) Requirement already satisfied: google-pasta>=0.1.6 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (0.2.0) Requirement already satisfied: wheel>=0.26; python_version >= "3" in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (0.34.2) Requirement already satisfied: wrapt>=1.11.1 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.12.1) Requirement already satisfied: gast==0.2.2 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (0.2.2) Requirement already satisfied: six>=1.12.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.14.0) Requirement already satisfied: numpy<2.0,>=1.16.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.18.4) Requirement already satisfied: tensorboard<2.2.0,>=2.1.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (2.1.1) Requirement already satisfied: tensorflow-estimator<2.2.0,>=2.1.0rc0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (2.1.0) Requirement already satisfied: grpcio>=1.8.6 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.28.1) Requirement already satisfied: astor>=0.6.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (0.8.1) Requirement already satisfied: scipy==1.4.1; python_version >= "3" in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.4.1) Requirement already satisfied: keras-applications>=1.0.8 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.0.8) Requirement already satisfied: keras-preprocessing>=1.1.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorflow==2.1) (1.1.0) Requirement already satisfied: setuptools in f:\anaconda3\envs\tf2.1\lib\site-packages (from protobuf>=3.8.0->tensorflow==2.1) (46.1.3.post20200330) Requirement already satisfied: markdown>=2.6.8 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (3.2.1) Requirement already satisfied: google-auth<2,>=1.6.3 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (1.14.1) Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (0.4.1) Requirement already satisfied: werkzeug>=0.11.15 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (1.0.1) Requirement already satisfied: requests<3,>=2.21.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (2.23.0) Requirement already satisfied: h5py in f:\anaconda3\envs\tf2.1\lib\site-packages (from keras-applications>=1.0.8->tensorflow==2.1) (2.10.0) Requirement already satisfied: pyasn1-modules>=0.2.1 in f:\anaconda3\envs\tf2.1\lib\site-packages (from google-auth<2,>=1.6.3->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (0.2.8) Requirement already satisfied: rsa<4.1,>=3.1.4 in f:\anaconda3\envs\tf2.1\lib\site-packages (from google-auth<2,>=1.6.3->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (4.0) Requirement already satisfied: cachetools<5.0,>=2.0.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from google-auth<2,>=1.6.3->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (4.1.0) Requirement already satisfied: requests-oauthlib>=0.7.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (1.3.0) Requirement already satisfied: chardet<4,>=3.0.2 in f:\anaconda3\envs\tf2.1\lib\site-packages (from requests<3,>=2.21.0->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (3.0.4) Requirement already satisfied: idna<3,>=2.5 in f:\anaconda3\envs\tf2.1\lib\site-packages (from requests<3,>=2.21.0->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (2.9) Requirement already satisfied: certifi>=2017.4.17 in f:\anaconda3\envs\tf2.1\lib\site-packages (from requests<3,>=2.21.0->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (2020.4.5.1) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in f:\anaconda3\envs\tf2.1\lib\site-packages (from requests<3,>=2.21.0->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (1.25.9) Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in f:\anaconda3\envs\tf2.1\lib\site-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (0.4.8) Requirement already satisfied: oauthlib>=3.0.0 in f:\anaconda3\envs\tf2.1\lib\site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard<2.2.0,>=2.1.0->tensorflow==2.1) (3.1.0) (TF2.1) C:\Users\lenovo>python Python 3.7.7 (default, Apr 15 2020, 05:09:04) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow as tf Traceback (most recent call last): File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 58, in <module> from tensorflow.python.pywrap_tensorflow_internal import * File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 28, in <module> _pywrap_tensorflow_internal = swig_import_helper() File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description) File "F:\anaconda3\envs\TF2.1\lib\imp.py", line 242, in load_module return load_dynamic(name, filename, file) File "F:\anaconda3\envs\TF2.1\lib\imp.py", line 342, in load_dynamic return _load(spec) ImportError: DLL load failed: 找不到指定的模块。 During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow\__init__.py", line 101, in <module> from tensorflow_core import * File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\__init__.py", line 40, in <module> from tensorflow.python.tools import module_util as _module_util File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow\__init__.py", line 50, in __getattr__ module = self._load() File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow\__init__.py", line 44, in _load module = _importlib.import_module(self.__name__) File "F:\anaconda3\envs\TF2.1\lib\importlib\__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\__init__.py", line 49, in <module> from tensorflow.python import pywrap_tensorflow File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 74, in <module> raise ImportError(msg) ImportError: Traceback (most recent call last): File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow.py", line 58, in <module> from tensorflow.python.pywrap_tensorflow_internal import * File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 28, in <module> _pywrap_tensorflow_internal = swig_import_helper() File "F:\anaconda3\envs\TF2.1\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description) File "F:\anaconda3\envs\TF2.1\lib\imp.py", line 242, in load_module return load_dynamic(name, filename, file) File "F:\anaconda3\envs\TF2.1\lib\imp.py", line 342, in load_dynamic return _load(spec) ImportError: DLL load failed: 找不到指定的模块。 Failed to load the native TensorFlow runtime. See https://www.tensorflow.org/install/errors for some common reasons and solutions. Include the entire stack trace above this error message when asking for help.

安装 tensorflow cpu 版出问题， 求解决办法。 谢谢 Windows 10 64bits, anaconda-3.4.2(Python3.5.2), tensorflow version 1.11-0, 第一次运行时报错： ImportError: DLL load failed: 动态链接库(DLL)初始化例程失败。 Environment parameter path: C:\Program Files\Microsoft MPI\Bin\;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\OpenSSH\;C:\CUDA\bin64;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\dotnet\;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\lib\x64;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.5\extras\CUPTI\libx64;C:\Program Files\Microsoft VS Code;C:\Program Files\Anaconda3;C:\Program Files\Anaconda3\Scripts;C:\Program Files\Anaconda3\Library\bin; MSVCP140.DLL在以下2个目录 C:\Program Files\Anaconda3 C:\Program Files\Anaconda3\Library\bin C:\Windows\system32>python Python 3.5.2 |Anaconda 4.2.0 (64-bit)| (default, Jul 5 2016, 11:41:13) [MSC v.1900 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> C:\Windows\system32>pip install tensorflow Collecting tensorflow Using cached https://files.pythonhosted.org/packages/af/5b/695e2e66feb27742a78f938d8369cc874b5fc7082193c3352c9db599af01/tensorflow-1.11.0-cp35-cp35m-win_amd64.whl Requirement already satisfied: grpcio>=1.8.6 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (1.16.0) Requirement already satisfied: astor>=0.6.0 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (0.7.1) Requirement already satisfied: numpy>=1.13.3 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (1.15.3) Requirement already satisfied: keras-applications>=1.0.5 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (1.0.6) Requirement already satisfied: absl-py>=0.1.6 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (0.6.1) Requirement already satisfied: six>=1.10.0 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (1.10.0) Requirement already satisfied: setuptools<=39.1.0 in c:\program files\anaconda3\lib\site-packages\setuptools-27.2.0-py3.5.egg (from tensorflow) (27.2.0) Requirement already satisfied: protobuf>=3.6.0 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (3.6.1) Requirement already satisfied: keras-preprocessing>=1.0.3 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (1.0.5) Requirement already satisfied: termcolor>=1.1.0 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (1.1.0) Requirement already satisfied: gast>=0.2.0 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (0.2.0) Requirement already satisfied: wheel>=0.26 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (0.29.0) Requirement already satisfied: tensorboard<1.12.0,>=1.11.0 in c:\program files\anaconda3\lib\site-packages (from tensorflow) (1.11.0) Requirement already satisfied: h5py in c:\program files\anaconda3\lib\site-packages (from keras-applications>=1.0.5->tensorflow) (2.6.0) Requirement already satisfied: markdown>=2.6.8 in c:\program files\anaconda3\lib\site-packages (from tensorboard<1.12.0,>=1.11.0->tensorflow) (3.0.1) Requirement already satisfied: werkzeug>=0.11.10 in c:\program files\anaconda3\lib\site-packages (from tensorboard<1.12.0,>=1.11.0->tensorflow) (0.11.11) Installing collected packages: tensorflow Successfully installed tensorflow-1.11.0 错误信息： --------------------------------------------------------------------------- ImportError Traceback (most recent call last) C:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in <module>() 57 ---> 58 from tensorflow.python.pywrap_tensorflow_internal import * 59 from tensorflow.python.pywrap_tensorflow_internal import __version__ C:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py in <module>() 27 return _mod ---> 28 _pywrap_tensorflow_internal = swig_import_helper() 29 del swig_import_helper C:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py in swig_import_helper() 23 try: ---> 24 _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description) 25 finally: C:\Program Files\Anaconda3\lib\imp.py in load_module(name, file, filename, details) 241 else: --> 242 return load_dynamic(name, filename, file) 243 elif type_ == PKG_DIRECTORY: C:\Program Files\Anaconda3\lib\imp.py in load_dynamic(name, path, file) 341 name=name, loader=loader, origin=path) --> 342 return _load(spec) 343 ImportError: DLL load failed: 动态链接库(DLL)初始化例程失败。 During handling of the above exception, another exception occurred: ImportError Traceback (most recent call last) <ipython-input-1-41389fad42b5> in <module>() ----> 1 import tensorflow as tf C:\Program Files\Anaconda3\lib\site-packages\tensorflow\__init__.py in <module>() 20 21 # pylint: disable=g-bad-import-order ---> 22 from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import 23 24 try: C:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\__init__.py in <module>() 47 import numpy as np 48 ---> 49 from tensorflow.python import pywrap_tensorflow 50 51 # Protocol buffers C:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in <module>() 72 for some common reasons and solutions. Include the entire stack trace 73 above this error message when asking for help.""" % traceback.format_exc() ---> 74 raise ImportError(msg) 75 76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long ImportError: Traceback (most recent call last): File "C:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module> from tensorflow.python.pywrap_tensorflow_internal import * File "C:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module> _pywrap_tensorflow_internal = swig_import_helper() File "C:\Program Files\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description) File "C:\Program Files\Anaconda3\lib\imp.py", line 242, in load_module return load_dynamic(name, filename, file) File "C:\Program Files\Anaconda3\lib\imp.py", line 342, in load_dynamic return _load(spec) ImportError: DLL load failed: 动态链接库(DLL)初始化例程失败。 Failed to load the native TensorFlow runtime. See https://www.tensorflow.org/install/install_sources#common_installation_problems for some common reasons and solutions. Include the entire stack trace above this error message when asking for help.

报错信息 C:/w/1/s/windows/pytorch/aten/src\ATen/native/IndexingUtils.h:20: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. Traceback (most recent call last): File "train.py", line 141, in <module> logger.list_of_scalars_summary(tensorboard_log, batches_done) File "F:\StuPy\PyTorch-YOLOv3\utils\logger.py", line 17, in list_of_scalars_summary summary = tf.Summary(value=[tf.Summary.Value(tag=tag, simple_value=value) for tag, value in tag_value_pairs]) AttributeError: module 'tensorflow' has no attribute 'Summary' 已经安装插件版本 tensorboard 2.0.0 tensorflow 2.0.0 tensorflow-estimator 2.0.1 termcolor 1.1.0 terminaltables 3.1.0 torch 1.3.1 torchvision 0.4.1 tqdm 4.41.1 urllib3 1.25.7 Werkzeug 0.16.0 wheel 0.33.6 wrapt 1.11.2

faster R-cnn中自定义tensorboard部分的代码报错，代码如下 ``` def write_log(callback, names, logs, batch_no): for name, value in zip(names, logs): summary = tf.Summary() summary_value = summary.value.add() summary_value.simple_value = value summary_value.tag = name callback.writer.add_summary(summary, batch_no) callback.writer.flush() ``` 报错如下： ``` AttributeError: module 'tensorflow' has no attribute 'Summary' ``` 之前运行都ok，突然报这么一个错，没找到解决办法，求路过大神帮忙看看

anaconda安装成功后，创建了python3.5环境，创建了tensorflow2.1，之后import 不成功，再之后，anaconda navigator不见了，想问问是为什么（之前在开始菜单里存在，并且能打开；之后它在开始菜单里消失了！）

小白一枚，github下的faster rcnn tf版在win10系统上，代码里没有输出训练日志的语句无log文件， 想问一下怎么添加语句可以通过tensorboard显示？下为train代码 import time import tensorflow as tf import numpy as np from tensorflow.python import pywrap_tensorflow import lib.config.config as cfg from lib.datasets import roidb as rdl_roidb from lib.datasets.factory import get_imdb from lib.datasets.imdb import imdb as imdb2 from lib.layer_utils.roi_data_layer import RoIDataLayer from lib.nets.vgg16 import vgg16 from lib.utils.timer import Timer try: import cPickle as pickle except ImportError: import pickle import os def get_training_roidb(imdb): """Returns a roidb (Region of Interest database) for use in training.""" if True: print('Appending horizontally-flipped training examples...') imdb.append_flipped_images() print('done') print('Preparing training data...') rdl_roidb.prepare_roidb(imdb) print('done') return imdb.roidb def combined_roidb(imdb_names): """ Combine multiple roidbs """ def get_roidb(imdb_name): imdb = get_imdb(imdb_name) print('Loaded dataset `{:s}` for training'.format(imdb.name)) imdb.set_proposal_method("gt") print('Set proposal method: {:s}'.format("gt")) roidb = get_training_roidb(imdb) return roidb roidbs = [get_roidb(s) for s in imdb_names.split('+')] roidb = roidbs[0] if len(roidbs) > 1: for r in roidbs[1:]: roidb.extend(r) tmp = get_imdb(imdb_names.split('+')[1]) imdb = imdb2(imdb_names, tmp.classes) else: imdb = get_imdb(imdb_names) return imdb, roidb class Train: def __init__(self): # Create network if cfg.FLAGS.net == 'vgg16': self.net = vgg16(batch_size=cfg.FLAGS.ims_per_batch) else: raise NotImplementedError self.imdb, self.roidb = combined_roidb("voc_2007_trainval") self.data_layer = RoIDataLayer(self.roidb, self.imdb.num_classes) self.output_dir = cfg.get_output_dir(self.imdb, 'default') def train(self): # Create session tfconfig = tf.ConfigProto(allow_soft_placement=True) tfconfig.gpu_options.allow_growth = True sess = tf.Session(config=tfconfig) with sess.graph.as_default(): tf.set_random_seed(cfg.FLAGS.rng_seed) layers = self.net.create_architecture(sess, "TRAIN", self.imdb.num_classes, tag='default') loss = layers['total_loss'] lr = tf.Variable(cfg.FLAGS.learning_rate, trainable=False) momentum = cfg.FLAGS.momentum optimizer = tf.train.MomentumOptimizer(lr, momentum) gvs = optimizer.compute_gradients(loss) # Double bias # Double the gradient of the bias if set if cfg.FLAGS.double_bias: final_gvs = [] with tf.variable_scope('Gradient_Mult'): for grad, var in gvs: scale = 1. if cfg.FLAGS.double_bias and '/biases:' in var.name: scale *= 2. if not np.allclose(scale, 1.0): grad = tf.multiply(grad, scale) final_gvs.append((grad, var)) train_op = optimizer.apply_gradients(final_gvs) else: train_op = optimizer.apply_gradients(gvs) # We will handle the snapshots ourselves self.saver = tf.train.Saver(max_to_keep=100000) # Write the train and validation information to tensorboard # writer = tf.summary.FileWriter(self.tbdir, sess.graph) # valwriter = tf.summary.FileWriter(self.tbvaldir) # Load weights # Fresh train directly from ImageNet weights print('Loading initial model weights from {:s}'.format(cfg.FLAGS.pretrained_model)) variables = tf.global_variables() # Initialize all variables first sess.run(tf.variables_initializer(variables, name='init')) var_keep_dic = self.get_variables_in_checkpoint_file(cfg.FLAGS.pretrained_model) # Get the variables to restore, ignorizing the variables to fix variables_to_restore = self.net.get_variables_to_restore(variables, var_keep_dic) restorer = tf.train.Saver(variables_to_restore) restorer.restore(sess, cfg.FLAGS.pretrained_model) print('Loaded.') # Need to fix the variables before loading, so that the RGB weights are changed to BGR # For VGG16 it also changes the convolutional weights fc6 and fc7 to # fully connected weights self.net.fix_variables(sess, cfg.FLAGS.pretrained_model) print('Fixed.') sess.run(tf.assign(lr, cfg.FLAGS.learning_rate)) last_snapshot_iter = 0 timer = Timer() iter = last_snapshot_iter + 1 last_summary_time = time.time() while iter < cfg.FLAGS.max_iters + 1: # Learning rate if iter == cfg.FLAGS.step_size + 1: # Add snapshot here before reducing the learning rate # self.snapshot(sess, iter) sess.run(tf.assign(lr, cfg.FLAGS.learning_rate * cfg.FLAGS.gamma)) timer.tic() # Get training data, one batch at a time blobs = self.data_layer.forward() # Compute the graph without summary rpn_loss_cls, rpn_loss_box, loss_cls, loss_box, total_loss = self.net.train_step(sess, blobs, train_op) timer.toc() iter += 1 # Display training information if iter % (cfg.FLAGS.display) == 0: print('iter: %d / %d, total loss: %.6f\n >>> rpn_loss_cls: %.6f\n ' '>>> rpn_loss_box: %.6f\n >>> loss_cls: %.6f\n >>> loss_box: %.6f\n ' % \ (iter, cfg.FLAGS.max_iters, total_loss, rpn_loss_cls, rpn_loss_box, loss_cls, loss_box)) print('speed: {:.3f}s / iter'.format(timer.average_time)) if iter % cfg.FLAGS.snapshot_iterations == 0: self.snapshot(sess, iter ) def get_variables_in_checkpoint_file(self, file_name): try: reader = pywrap_tensorflow.NewCheckpointReader(file_name) var_to_shape_map = reader.get_variable_to_shape_map() return var_to_shape_map except Exception as e: # pylint: disable=broad-except print(str(e)) if "corrupted compressed block contents" in str(e): print("It's likely that your checkpoint file has been compressed " "with SNAPPY.") def snapshot(self, sess, iter): net = self.net if not os.path.exists(self.output_dir): os.makedirs(self.output_dir) # Store the model snapshot filename = 'vgg16_faster_rcnn_iter_{:d}'.format(iter) + '.ckpt' filename = os.path.join(self.output_dir, filename) self.saver.save(sess, filename) print('Wrote snapshot to: {:s}'.format(filename)) # Also store some meta information, random state, etc. nfilename = 'vgg16_faster_rcnn_iter_{:d}'.format(iter) + '.pkl' nfilename = os.path.join(self.output_dir, nfilename) # current state of numpy random st0 = np.random.get_state() # current position in the database cur = self.data_layer._cur # current shuffled indeces of the database perm = self.data_layer._perm # Dump the meta info with open(nfilename, 'wb') as fid: pickle.dump(st0, fid, pickle.HIGHEST_PROTOCOL) pickle.dump(cur, fid, pickle.HIGHEST_PROTOCOL) pickle.dump(perm, fid, pickle.HIGHEST_PROTOCOL) pickle.dump(iter, fid, pickle.HIGHEST_PROTOCOL) return filename, nfilename if __name__ == '__main__': train = Train() train.train()

大学四年，看课本是不可能一直看课本的了，对于学习，特别是自学，善于搜索网上的一些资源来辅助，还是非常有必要的，下面我就把这几年私藏的各种资源，网站贡献出来给你们。主要有：电子书搜索、实用工具、在线视频学习网站、非视频学习网站、软件下载、面试/求职必备网站。 注意：文中提到的所有资源，文末我都给你整理好了，你们只管拿去，如果觉得不错，转发、分享就是最大的支持了。 一、电子书搜索 对于大部分程序员...

今年，我也32了 ，为了不给大家误导，咨询了猎头、圈内好友，以及年过35岁的几位老程序员……舍了老脸去揭人家伤疤……希望能给大家以帮助，记得帮我点赞哦。 目录： 你以为的人生 一次又一次的伤害 猎头界的真相 如何应对互联网行业的「中年危机」 一、你以为的人生 刚入行时，拿着傲人的工资，想着好好干，以为我们的人生是这样的： 等真到了那一天，你会发现，你的人生很可能是这样的： ...

文章目录Java概述何为编程什么是Javajdk1.5之后的三大版本JVM、JRE和JDK的关系什么是跨平台性？原理是什么Java语言有哪些特点什么是字节码？采用字节码的最大好处是什么什么是Java程序的主类？应用程序和小程序的主类有何不同？Java应用程序与小程序之间有那些差别？Java和C++的区别Oracle JDK 和 OpenJDK 的对比基础语法数据类型Java有哪些数据类型switc...

数据结构与算法思维导图

老生常谈的一个梗，到2020了还在争论，你们一天天的，哎哎哎，我不是针对你一个，我是说在座的各位都是人才！ 上图红色的这3个箭头，对于通过new产生一个字符串（”宜春”）时，会先去常量池中查找是否已经有了”宜春”对象，如果没有则在常量池中创建一个此字符串对象，然后堆中再创建一个常量池中此”宜春”对象的拷贝对象。 也就是说准确答案是产生了一个或两个对象，如果常量池中原来没有 ”宜春” ,就是两个。...

昨天早上通过远程的方式 review 了两名新来同事的代码，大部分代码都写得很漂亮，严谨的同时注释也很到位，这令我非常满意。但当我看到他们当中有一个人写的 switch 语句时，还是忍不住破口大骂：“我擦，小王，你丫写的 switch 语句也太老土了吧！” 来看看小王写的代码吧，看完不要骂我装逼啊。 private static String createPlayer(PlayerTypes p...

文章目录Linux 概述什么是LinuxUnix和Linux有什么区别？什么是 Linux 内核？Linux的基本组件是什么？Linux 的体系结构BASH和DOS之间的基本区别是什么？Linux 开机启动过程？Linux系统缺省的运行级别？Linux 使用的进程间通信方式？Linux 有哪些系统日志文件？Linux系统安装多个桌面环境有帮助吗？什么是交换空间？什么是root帐户什么是LILO？什...

大家都知道，Linux 系统有非常多的命令，而且每个命令又有非常多的用法，想要全部记住所有命令的所有用法，恐怕是一件不可能完成的任务。 一般情况下，我们学习一个命令时，要么直接百度去搜索它的用法，要么就直接用 man 命令去查看守冗长的帮助手册。这两个都可以实现我们的目标，但有没有更简便的方式呢？ 答案是必须有的！今天给大家推荐一款有趣而实用学习神器 — kmdr，让你解锁 Linux 学习新姿势...

互联网公司工作，很难避免不和黑客们打交道，我呆过的两家互联网公司，几乎每月每天每分钟都有黑客在公司网站上扫描。有的是寻找 Sql 注入的缺口，有的是寻找线上服务器可能存在的漏洞，大部分都...

网友们有福了，小编终于把基础篇的内容全部涉略了一遍，这是一篇关于基础知识的汇总的文章，请朋友们收下，不用客气，不过文章篇幅肯能会有点长，耐心阅读吧爬虫（七十）多进程multiproces...

loonggg读完需要3分钟速读仅需 1 分钟大家好，我是你们的校长。我之前讲过，这年头，只要肯动脑，肯行动，程序员凭借自己的技术，赚钱的方式还是有很多种的。仅仅靠在公司出卖自己的劳动时...

昨天看到一档综艺节目，讨论了两个话题：（1）中国学生的数学成绩，平均下来看，会比国外好？为什么？（2）男生的数学成绩，平均下来看，会比女生好？为什么？同时，我又联想到了一个技术圈经常讨...

蒋凡是何许人也？ 2017年12月27日，在入职4年时间里，蒋凡开挂般坐上了淘宝总裁位置。 为此，时任阿里CEO张勇在任命书中力赞： 蒋凡加入阿里，始终保持创业者的冲劲，有敏锐的...

原博客再更新，可能就没了，之后将持续更新本篇博客。

提到“程序员”，多数人脑海里首先想到的大约是：为人木讷、薪水超高、工作枯燥…… 然而，当离开工作岗位，撕去层层标签，脱下“程序员”这身外套，有的人生动又有趣，马上展现出了完全不同的A/B面人生！ 不论是简单的爱好，还是正经的副业，他们都干得同样出色。偶尔，还能和程序员的特质结合，产生奇妙的“化学反应”。 @Charlotte：平日素颜示人，周末美妆博主 大家都以为程序媛也个个不修边幅，但我们也许...

文章目录数据库基础知识为什么要使用数据库什么是SQL？什么是MySQL?数据库三大范式是什么mysql有关权限的表都有哪几个MySQL的binlog有有几种录入格式？分别有什么区别？数据类型mysql有哪些数据类型引擎MySQL存储引擎MyISAM与InnoDB区别MyISAM索引与InnoDB索引的区别？InnoDB引擎的4大特性存储引擎选择索引什么是索引？索引有哪些优缺点？索引使用场景（重点）...

关注、星标公众号，不错过精彩内容作者：黄工公众号：strongerHuang最近ST官网悄悄新上线了一款比较强大的工具：STM32CubeMonitor V1.0.0。经过我研究和使用之...

有个好朋友ZS，是技术总监，昨天问我：“有一个老下属，跟了我很多年，做事勤勤恳恳，主动性也很好。但随着公司的发展，他的进步速度，跟不上团队的步伐了，有点...

私下里，有不少读者问我：“二哥，如何才能写出一份专业的技术简历呢？我总感觉自己写的简历太烂了，所以投了无数份，都石沉大海了。”说实话，我自己好多年没有写过简历了，但我认识的一个同行，他在阿里，给我说了一些他当年写简历的方法论，我感觉太牛逼了，实在是忍不住，就分享了出来，希望能够帮助到你。 01、简历的本质 作为简历的撰写者，你必须要搞清楚一点，简历的本质是什么，它就是为了来销售你的价值主张的。往深...

大佬原来都是这样炼成的

有小伙伴问松哥这个问题，他在上海某公司，在离职了几个月后，前公司的领导联系到他，希望他能够返聘回去，他很纠结要不要回去？ 俗话说好马不吃回头草，但是这个小伙伴既然感到纠结了，我觉得至少说明了两个问题：1.曾经的公司还不错；2.现在的日子也不是很如意。否则应该就不会纠结了。 老实说，松哥之前也有过类似的经历，今天就来和小伙伴们聊聊回头草到底吃不吃。 首先一个基本观点，就是离职了也没必要和老东家弄的苦...

不知道是不是只有我这样子，还是你们也有过类似的经历。 上学的时候总有很多光辉历史，学年名列前茅，或者单科目大佬，但是虽然慢慢地长大了，你开始懈怠了，开始废掉了。。。 什么？你说不知道具体的情况是怎么样的？ 我来告诉你： 你常常潜意识里或者心理觉得，自己真正的生活或者奋斗还没有开始。总是幻想着自己还拥有大把时间，还有无限的可能，自己还能逆风翻盘，只不是自己还没开始罢了，自己以后肯定会变得特别厉害...

都是出来打工的，多为自己着想

二哥，有个事想询问下您的意见，您觉得应届生值得去外包吗？公司虽然挺大的，中xx，但待遇感觉挺低，马上要报到，挺纠结的。

当HR压你价，说你只值7K时，你可以流畅地回答，记住，是流畅，不能犹豫。 礼貌地说：“7K是吗？了解了。嗯~其实我对贵司的面试官印象很好。只不过，现在我的手头上已经有一份11K的offer。来面试，主要也是自己对贵司挺有兴趣的，所以过来看看……”（未完） 这段话主要是陪HR互诈的同时，从公司兴趣，公司职员印象上，都给予对方正面的肯定，既能提升HR的好感度，又能让谈判气氛融洽，为后面的发挥留足空间。...

面试阿里p7被问到的问题(当时我只知道第一个)：@Conditional是做什么的?@Conditional多个条件是什么逻辑关系？条件判断在什么时候执...

先来看几个问题通过注解的方式注入依赖对象，介绍一下你知道的几种方式@Autowired和@Resource有何区别说一下@Autowired查找候选者的...

最近面试了一个31岁8年经验的程序猿，让我有点感慨，大龄程序猿该何去何从。

说实话，自己的算法，我一个不会，太难了吧

已经连续五年参加大厂校招、社招的技术面试工作，简历看的不下于万份 这篇文章会用实例告诉你，什么是差的程序员简历！ 疫情快要结束了，各个公司也都开始春招了，作为即将红遍大江南北的新晋UP主，那当然要为小伙伴们做点事（手动狗头）。 就在公众号里公开征简历，义务帮大家看，并一一点评。《启舰：春招在即，义务帮大家看看简历吧》 一石激起千层浪，三天收到两百多封简历。 花光了两个星期的所有空闲时...

我们都玩过Windows操作系统中的经典游戏扫雷（Minesweeper），如果把质数当作一颗雷，那么，表格中红色的数字哪些是雷（质数）？您能找出多少个呢？文中用列表的方式罗列了10000以内的自然数、质数（素数），6的倍数等，方便大家观察质数的分布规律及特性，以便对算法求解有指导意义。另外，判断质数是初学算法，理解算法重要性的一个非常好的案例。

操作系统（Operating System，OS）：是管理计算机硬件与软件资源的系统软件，同时也是计算机系统的内核与基石。操作系统需要处理管理与配置内存、决定系统资源供需的优先次序、控制输入与输出设备、操作网络与管理文件系统等基本事务。操作系统也提供一个让用户与系统交互的操作界面。 shell：它是一个程序，可从键盘获取命令并将其提供给操作系统以执行。 在过去，它是类似 Unix 的系统上...

导读 前天面试了一个985高校的实习生，问了他平时用什么开发工具，他想也没想的说IDEA，于是我抛砖引玉的问了一下IDEA的调试用过吧，你说说怎么设置断点...

大厂竟然要考我SSO，卧槽。

上周我通过阿里一面，岗位是客户端开发工程师。面试过程中面试官问了B+树，回答时面试官一直点头（应该回答得还不错，过了），今天详细讲一讲B+树。

Cookie 和 Session HTTP 协议是一种无状态协议，即每次服务端接收到客户端的请求时，都是一个全新的请求，服务器并不知道客户端的历史请求记录；Session 和 Cookie 的主要目的就是为了弥补 HTTP 的无状态特性。 Session 是什么 客户端请求服务端，服务端会为这次请求开辟一块内存空间，这个对象便是 Session 对象，存储结构为 ConcurrentHashMa...

来看几个问题想不想月薪超过5万？想不想进入公司架构组？想不想成为项目组的负责人？想不想成为spring的高手，超越99%的对手？那么本文内容是你必须要掌握的。本文主要详解bean的生命...