安装Tensorflow object detection API之后运行model_builder_test.py报错？

``` Traceback (most recent call last): File "G:\python\models\research\object_detection\builders\model_builder_test.py", line 23, in <module> from object_detection.builders import model_builder File "G:\python\models\research\object_detection\builders\model_builder.py", line 20, in <module> from object_detection.builders import anchor_generator_builder File "G:\python\models\research\object_detection\builders\anchor_generator_builder.py", line 22, in <module> from object_detection.protos import anchor_generator_pb2 File "G:\python\models\research\object_detection\protos\anchor_generator_pb2.py", line 29, in <module> dependencies=[object__detection_dot_protos_dot_flexible__grid__anchor__generator__pb2.DESCRIPTOR,object__detection_dot_protos_dot_grid__anchor__generator__pb2.DESCRIPTOR,object__detection_dot_protos_dot_multiscale__anchor__generator__pb2.DESCRIPTOR,object__detection_dot_protos_dot_ssd__anchor__generator__pb2.DESCRIPTOR,]) File "G:\python\python setup\lib\site-packages\google\protobuf\descriptor.py", line 879, in __new__ return _message.default_pool.AddSerializedFile(serialized_pb) TypeError: Couldn't build proto file into descriptor pool! Invalid proto descriptor for file "object_detection/protos/anchor_generator.proto": object_detection/protos/flexible_grid_anchor_generator.proto: Import "object_detection/protos/flexible_grid_anchor_generator.proto" has not been loaded. object_detection/protos/multiscale_anchor_generator.proto: Import "object_detection/protos/multiscale_anchor_generator.proto" has not been loaded. object_detection.protos.AnchorGenerator.multiscale_anchor_generator: "object_detection.protos.MultiscaleAnchorGenerator" seems to be defined in "protos/multiscale_anchor_generator.proto", which is not imported by "object_detection/protos/anchor_generator.proto". To use it here, please add the necessary import. object_detection.protos.AnchorGenerator.flexible_grid_anchor_generator: "object_detection.protos.FlexibleGridAnchorGenerator" seems to be defined in "protos/flexible_grid_anchor_generator.proto", which is not imported by "object_detection/protos/anchor_generator.proto". To use it here, please add the necessary import. ``` 网上找了各种方法都没用，有些可能有用的但是不够详细。

用create_pascal_tf_record.py时候出现的问题！

这是我用create_pascal_tf_record.py出现的错误 ``` D:\tensorflow\models\research\object_detection>python dataset_tools\create_pascal_tf_record.py --label_map=D:\tensorflow\pedestrain_train\data\label_map.pbtxt --data_dir=D:\pedestrain_data --year=VOC2012 --set=train --output_path=D:\pascal_train.record Traceback (most recent call last): File "dataset_tools\create_pascal_tf_record.py", line 185, in <module> tf.app.run() File "C:\anaconda\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run _sys.exit(main(argv)) File "dataset_tools\create_pascal_tf_record.py", line 167, in main examples_list = dataset_util.read_examples_list(examples_path) File "D:\ssd-detection\models-master\research\object_detection\utils\dataset_util.py", line 59, in read_examples_list lines = fid.readlines() File "C:\anaconda\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 188, in readlines self._preread_check() File "C:\anaconda\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 85, in _preread_check compat.as_bytes(self.__name), 1024 * 512, status) File "C:\anaconda\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 519, in __exit__ c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.NotFoundError: NewRandomAccessFile failed to Create/Open: D:\pedestrain_data\VOC2012\ImageSets\Main\aeroplane_train.txt : \u03f5\u0373\udcd5\u04b2\udcbb\udcb5\udcbd\u05b8\udcb6\udca8\udcb5\udcc4\udcce\u013c\udcfe\udca1\udca3 ; No such file or directory ``` 可是我的main文件夹里面是pedestrain_train.txt和pedestrain_val.txt为什么他要去找aeroplane_train.txt这个文件呢

执行python manage.py migrate命令有问题

我在windows系统搭建了开发环境，使用的是pytohn2.7版本，在本地开发环境验证测试，执行python manage.py migrate命令有问题： 我在这个位置执行的命令：  报错如下：  D:\python2.7\python2.7\Lib\site-packages\django\conf\project_template>python manage.py migrate Traceback (most recent call last): File "manage.py", line 10, in <module> execute_from_command_line(sys.argv) File "D:\python2.7\python2.7\lib\site-packages\django\core\management\__init__.py", line 338, in execute_from_command_line utility.execute() File "D:\python2.7\python2.7\lib\site-packages\django\core\management\__init__.py", line 303, in execute settings.INSTALLED_APPS File "D:\python2.7\python2.7\lib\site-packages\django\conf\__init__.py", line 48, in __getattr__ self._setup(name) File "D:\python2.7\python2.7\lib\site-packages\django\conf\__init__.py", line 44, in _setup self._wrapped = Settings(settings_module) File "D:\python2.7\python2.7\lib\site-packages\django\conf\__init__.py", line 92, in __init__ mod = importlib.import_module(self.SETTINGS_MODULE) File "D:\python2.7\python2.7\lib\importlib\__init__.py", line 37, in import_module __import__(name) ImportError: No module named {{ project_name }}.settings 求大神指教，是我执行的目录位置有问题吗？

python3 使用setsockopt(socket.SOL_SOCKET,socket.SO_RCVTIMEO, 10) 设置接收超时时间无效

版本：python3.6 操作系统：windows10 需要将接收超时设置为永不超时，而其他超时时间使用默认值，如果不做任何设置，s.recv()会在一段时间后抛 time out 异常。 按如下方式： 使用setsockopt(socket.SOL_SOCKET,socket.SO_RCVTIMEO, 10)设置接收超时时间，超时时间被设成了3秒，而非10秒，s.recv()会在3秒后抛 time out 异常 ``` s.settimeout(3) s.setsockopt(socket.SOL_SOCKET,socket.SO_RCVTIMEO, 10) # 此句没有生效？ ``` 请教 s.setsockopt(socket.SOL_SOCKET,socket.SO_RCVTIMEO, 10) 如何使用？

Tensorflow 2.0 : When using data tensors as input to a model, you should specify the `steps_per_epoch` argument.

下面代码每次执行到epochs 中的最后一个step 都会报错，请教大牛这是什么问题呢？ ``` import tensorflow_datasets as tfds dataset, info = tfds.load('imdb_reviews/subwords8k', with_info=True, as_supervised=True) train_dataset,test_dataset = dataset['train'],dataset['test'] tokenizer = info.features['text'].encoder print('vocabulary size: ', tokenizer.vocab_size) sample_string = 'Hello world, tensorflow' tokenized_string = tokenizer.encode(sample_string) print('tokened id: ', tokenized_string) src_string= tokenizer.decode(tokenized_string) print(src_string) for t in tokenized_string: print(str(t) + ': '+ tokenizer.decode([t])) BUFFER_SIZE=6400 BATCH_SIZE=64 num_train_examples = info.splits['train'].num_examples num_test_examples=info.splits['test'].num_examples print("Number of training examples: {}".format(num_train_examples)) print("Number of test examples: {}".format(num_test_examples)) train_dataset=train_dataset.shuffle(BUFFER_SIZE) train_dataset=train_dataset.padded_batch(BATCH_SIZE,train_dataset.output_shapes) test_dataset=test_dataset.padded_batch(BATCH_SIZE,test_dataset.output_shapes) def get_model(): model=tf.keras.Sequential([ tf.keras.layers.Embedding(tokenizer.vocab_size,64), tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(64)), tf.keras.layers.Dense(64,activation='relu'), tf.keras.layers.Dense(1,activation='sigmoid') ]) return model model =get_model() model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) import math #from tensorflow import keras #train_dataset= keras.preprocessing.sequence.pad_sequences(train_dataset, maxlen=BUFFER_SIZE) history =model.fit(train_dataset, epochs=2, steps_per_epoch=(math.ceil(BUFFER_SIZE/BATCH_SIZE) -90 ), validation_data= test_dataset) ``` Train on 10 steps Epoch 1/2 9/10 [==========================>...] - ETA: 3s - loss: 0.6955 - accuracy: 0.4479 --------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-111-8ddec076c096> in <module> 6 epochs=2, 7 steps_per_epoch=(math.ceil(BUFFER_SIZE/BATCH_SIZE) -90 ), ----> 8 validation_data= test_dataset) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs) 726 max_queue_size=max_queue_size, 727 workers=workers, --> 728 use_multiprocessing=use_multiprocessing) 729 730 def evaluate(self, /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_arrays.py in fit(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, **kwargs) 672 validation_steps=validation_steps, 673 validation_freq=validation_freq, --> 674 steps_name='steps_per_epoch') 675 676 def evaluate(self, /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_arrays.py in model_iteration(model, inputs, targets, sample_weights, batch_size, epochs, verbose, callbacks, val_inputs, val_targets, val_sample_weights, shuffle, initial_epoch, steps_per_epoch, validation_steps, validation_freq, mode, validation_in_fit, prepared_feed_values_from_dataset, steps_name, **kwargs) 437 validation_in_fit=True, 438 prepared_feed_values_from_dataset=(val_iterator is not None), --> 439 steps_name='validation_steps') 440 if not isinstance(val_results, list): 441 val_results = [val_results] /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_arrays.py in model_iteration(model, inputs, targets, sample_weights, batch_size, epochs, verbose, callbacks, val_inputs, val_targets, val_sample_weights, shuffle, initial_epoch, steps_per_epoch, validation_steps, validation_freq, mode, validation_in_fit, prepared_feed_values_from_dataset, steps_name, **kwargs) 174 if not is_dataset: 175 num_samples_or_steps = _get_num_samples_or_steps(ins, batch_size, --> 176 steps_per_epoch) 177 else: 178 num_samples_or_steps = steps_per_epoch /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_arrays.py in _get_num_samples_or_steps(ins, batch_size, steps_per_epoch) 491 return steps_per_epoch 492 return training_utils.check_num_samples(ins, batch_size, steps_per_epoch, --> 493 'steps_per_epoch') 494 495 /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_utils.py in check_num_samples(ins, batch_size, steps, steps_name) 422 raise ValueError('If ' + steps_name + 423 ' is set, the `batch_size` must be None.') --> 424 if check_steps_argument(ins, steps, steps_name): 425 return None 426 /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_utils.py in check_steps_argument(input_data, steps, steps_name) 1199 raise ValueError('When using {input_type} as input to a model, you should' 1200 ' specify the `{steps_name}` argument.'.format( -> 1201 input_type=input_type_str, steps_name=steps_name)) 1202 return True 1203 ValueError: When using data tensors as input to a model, you should specify the `steps_per_epoch` argument.

ValueError: No data files found in satellite/data\satellite_train_*.tfrecord

跟着书做"打造自己的图片识别模型"项目时候遇到报错,报错早不到数据文件，但是文件路径和数据都没问题 D:\Anaconda\anaconda\envs\tensorflow\python.exe D:/PyCharm/PycharmProjects/chapter_3/slim/train_image_classifier.py --train_dir=satellite/train_dir --dataset_name=satellite --dataset_split_name=train --dataset_dir=satellite/data --model_name=inception_v3 --checkpoint_path=satellite/pretrained/inception_v3.ckpt --checkpoint_exclude_scopes=InceptionV3/Logits,InceptionV3/AuxLogits --trainable_scopes=InceptionV3/Logits,InceptionV3/AuxLogits --max_number_of_steps=100000 --batch_size=32 --learning_rate=0.001 --learning_rate_decay_type=fixed --save_interval_secs=300 --save_summaries_secs=2 --log_every_n_steps=10 --optimizer=rmsprop --weight_decay=0.00004 WARNING:tensorflow:From D:/PyCharm/PycharmProjects/chapter_3/slim/train_image_classifier.py:397: create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version. Instructions for updating: Please switch to tf.train.create_global_step Traceback (most recent call last): File "D:/PyCharm/PycharmProjects/chapter_3/slim/train_image_classifier.py", line 572, in <module> tf.app.run() File "D:\Anaconda\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\platform\app.py", line 48, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "D:/PyCharm/PycharmProjects/chapter_3/slim/train_image_classifier.py", line 430, in main common_queue_min=10 * FLAGS.batch_size) File "D:\Anaconda\anaconda\envs\tensorflow\lib\site-packages\tensorflow\contrib\slim\python\slim\data\dataset_data_provider.py", line 94, in __init__ scope=scope) File "D:\Anaconda\anaconda\envs\tensorflow\lib\site-packages\tensorflow\contrib\slim\python\slim\data\parallel_reader.py", line 238, in parallel_read data_files = get_data_files(data_sources) File "D:\Anaconda\anaconda\envs\tensorflow\lib\site-packages\tensorflow\contrib\slim\python\slim\data\parallel_reader.py", line 311, in get_data_files raise ValueError('No data files found in %s' % (data_sources,)) ValueError: No data files found in satellite/data\satellite_train_*.tfrecord

Python用tar.gz文件安装时出现错误：No module named 'numpy.distutils._msvccompiler' in numpy.distutils及Unable to find vcvarsall.bat

系统win10 64位，python版本3.7.4。 在网上下载了scikit-learn-0.22.tar，解压后利用python setup.py install进行安装时报错。 代码如下： ``` PS C:\Users\TH.Liu> cd E:\python\Scripts\scikit-learn-0.22\scikit-learn-0.22 PS E:\python\Scripts\scikit-learn-0.22\scikit-learn-0.22> python setup.py install Partial import of sklearn during the build process. E:\python\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'project_urls' warnings.warn(msg) E:\python\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'python_requires' warnings.warn(msg) E:\python\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'install_requires' warnings.warn(msg) No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils Traceback (most recent call last): File "setup.py", line 303, in <module> setup_package() File "setup.py", line 299, in setup_package setup(**metadata) File "E:\python\lib\site-packages\numpy\distutils\core.py", line 137, in setup config = configuration() File "setup.py", line 182, in configuration config.add_subpackage('sklearn') File "E:\python\lib\site-packages\numpy\distutils\misc_util.py", line 1035, in add_subpackage caller_level = 2) File "E:\python\lib\site-packages\numpy\distutils\misc_util.py", line 1004, in get_subpackage caller_level = caller_level + 1) File "E:\python\lib\site-packages\numpy\distutils\misc_util.py", line 941, in _get_configuration_from_setup_py config = setup_module.configuration(*args) File "sklearn\setup.py", line 86, in configuration cythonize_extensions(top_path, config) File "E:\python\Scripts\scikit-learn-0.22\scikit-learn-0.22\sklearn\_build_utils\__init__.py", line 50, in cythonize_extensions basic_check_build() File "E:\python\Scripts\scikit-learn-0.22\scikit-learn-0.22\sklearn\_build_utils\pre_build_helpers.py", line 70, in basic_check_build compile_test_program(code) File "E:\python\Scripts\scikit-learn-0.22\scikit-learn-0.22\sklearn\_build_utils\pre_build_helpers.py", line 40, in compile_test_program extra_postargs=extra_postargs) File "E:\python\lib\distutils\_msvccompiler.py", line 346, in compile self.initialize() File "E:\python\lib\distutils\_msvccompiler.py", line 239, in initialize vc_env = _get_vc_env(plat_spec) File "E:\python\lib\distutils\_msvccompiler.py", line 135, in _get_vc_env raise DistutilsPlatformError("Unable to find vcvarsall.bat") distutils.errors.DistutilsPlatformError: Unable to find vcvarsall.bat ``` 实际上，这俩错误我都在网上找过许多解决方式，但都没有用。下载了VS2010并尝试过在cmd中设置VS90COMNTOOLS =％VS100COMNTOOLS％，依然无效。 抱着最后的希望来这里求助……希望能得到解决。 ———————————————————— 2019.12.17 更新： 在安装了VS2015之后，vcvarsall.bat的问题消失了，剩下的只有： ``` E:\python\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'project_urls' warnings.warn(msg) E:\python\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'python_requires' warnings.warn(msg) E:\python\lib\distutils\dist.py:274: UserWarning: Unknown distribution option: 'install_requires' warnings.warn(msg) No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils ``` 这些问题了。 大家说PowerShell容易出BUG，我换用CMD后依旧如此。 我依旧没有找到这些报错的解决方案，希望得到大佬的帮助！

Python中怎么使用execute_script修改window.navigator.webdriver的值？

使用webdriver登录淘宝时window.navigator.webdriver值为true，怎么用execute_script修改window.navigator.webdriver的值为false。我想知道修改window.navigator.webdrier值的具体的JS代码

关于Django执行迁移文件时，ForeignKey里面加on_delete=models.CASCADE报错问题，谁知道时怎么回事？万分感谢！！

Django 在创建模型类后，执行一下代码迁移文件时，在ForeignKey里面不加on_delete=models.CASCADE会报错，加了后，其他又外键的模型类不报错，就这个报错。 ``` class GoodsType(BaseModel): """商品类型模型类""" name = models.CharField(max_length=20, verbose_name="种类名称") logo = models.CharField(max_length=20, verbose_name="标识") image = models.ImageField(upload_to="type", verbose_name="商品类型图片") class Mete: db_table = "df_goods_type" verbose_name = "商品种类" verbose_name_plural = verbose_name def __str__(self): return self.name class GoodsSKU(BaseModel): """商品SKU模型类""" status_choices = ( (0, "下线"), (1, "上线"), ) type = models.ForeignKey("GoodsType", on_delete=models.CASCADE, verbose_name="商品种类") goods = models.ForeignKey("Goods", on_delete=models.CASCADE, verbose_name="商品SPU") name = models.CharField(max_length=20, verbose_name="商品名称") desc = models.CharField(max_length=256, verbose_name="商品简介") price = models.DecimalField(max_digits=10, decimal_places=2, verbose_name="商品价格") unite = models.CharField(max_length=20, verbose_name="商品单位") image = models.ImageField(upload_to='goods', verbose_name="商品图片") stock = models.IntegerField(default=1, verbose_name="商品库存") sales = models.IntegerField(default=0, verbose_name="商品销量") status = models.SmallIntegerField(default=1, choices=status_choices,verbose_name="商品状态") class Meta: db_table = "df_goods_sku" verbose_name = "商品" verbose_name_plural = verbose_name class GoodImage(models): """商品图片模型类""" sku = models.ForeignKey("GoodsSKU", on_delete=models.CASCADE, verbose_name="商品") image = models.ImageField(upload_to="good", verbose_name="图片路径") class Meta: db_table = "df_goods_image" verbose_name = "商品图片" verbose_name_plural = verbose_name ``` 报错 ``` python manage.py makemigrations Traceback (most recent call last): File "manage.py", line 21, in <module> main() File "manage.py", line 17, in main execute_from_command_line(sys.argv) File "/home/u/.virtualenvs/dailyfresh/lib/python3.5/site-packages/django/core/management/__init__.py", line 381, in execute_from_command_line utility.execute() File "/home/u/.virtualenvs/dailyfresh/lib/python3.5/site-packages/django/core/management/__init__.py", line 357, in execute django.setup() File "/home/u/.virtualenvs/dailyfresh/lib/python3.5/site-packages/django/__init__.py", line 24, in setup apps.populate(settings.INSTALLED_APPS) File "/home/u/.virtualenvs/dailyfresh/lib/python3.5/site-packages/django/apps/registry.py", line 114, in populate app_config.import_models() File "/home/u/.virtualenvs/dailyfresh/lib/python3.5/site-packages/django/apps/config.py", line 211, in import_models self.models_module = import_module(models_module_name) File "/usr/lib/python3.5/importlib/__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "<frozen importlib._bootstrap>", line 986, in _gcd_import File "<frozen importlib._bootstrap>", line 969, in _find_and_load File "<frozen importlib._bootstrap>", line 958, in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 673, in _load_unlocked File "<frozen importlib._bootstrap_external>", line 665, in exec_module File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed File "/home/u/jeth/dailyfresh/apps/goods/models.py", line 56, in <module> class GoodImage(models): TypeError: module.__init__() takes at most 2 arguments (3 given) ```

Python3使用ibm-db 连接DB2 执行sql 时报错 SQLCODE=-332 ？

Python3使用ibm-db 连接DB2 执行sql 时报错 SQLCODE=-332 codepage转换错误，现在不能修改DB2 server的设置，请问怎么解决？ 代码如下： ``` import ibm_db conn=ibm_db.connect("DATABASE=db;HOSTNAME=host;PORT=60000;PROTOCOL=TCPIP;UID=user;PWD=pwd",'','') sql = "SELECT * FROM T_PATENTINFO" stmt = ibm_db.exec_immediate(conn, sql) result = ibm_db.fetch_tuple(stmt) print(result) ``` 错误信息： ``` Traceback (most recent call last): File "C:\Users\xux\AppData\Local\Programs\Python\Python37\lib\site-packages\ibm_db_dbi.py", line 1434, in _fetch_helper row = ibm_db.fetch_tuple(self.stmt_handler) SQLCODE=-332 During handling of the above exception, another exception occurred: Traceback (most recent call last): File "C:/PythonRepo/patent/db_fixture/ibm_db_connect.py", line 53, in <module> rresult = DB().search_patent() File "C:/PythonRepo/patent/db_fixture/ibm_db_connect.py", line 44, in search_patent result = self.cursor.fetchone() File "C:\Users\xux\AppData\Local\Programs\Python\Python37\lib\site-packages\ibm_db_dbi.py", line 1460, in fetchone row_list = self._fetch_helper(1) File "C:\Users\xux\AppData\Local\Programs\Python\Python37\lib\site-packages\ibm_db_dbi.py", line 1441, in _fetch_helper raise self.messages[len(self.messages) - 1] SQLCODE=-332 ```

import tensorflow 时报错：version GLIBC_2.14 not found

**Linux下使用 pip install tensorflow --upgrade 命令安装成功，但是在import tensorflow的时候报错，具体错误如下： ** >>> import tensorflow Traceback (most recent call last): File "/usr/local/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module> from tensorflow.python.pywrap_tensorflow_internal import * File "/usr/local/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module> _pywrap_tensorflow_internal = swig_import_helper() File "/usr/local/lib/python3.5/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 "/usr/local/lib/python3.5/imp.py", line 242, in load_module return load_dynamic(name, filename, file) File "/usr/local/lib/python3.5/imp.py", line 342, in load_dynamic return _load(spec) ImportError: /usr/lib64/libstdc++.so.6: version `GLIBCXX_3.4.18' not found (required by /usr/local/lib/python3.5/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib/python3.5/site-packages/tensorflow/__init__.py", line 24, in <module> from tensorflow.python import * File "/usr/local/lib/python3.5/site-packages/tensorflow/python/__init__.py", line 49, in <module> from tensorflow.python import pywrap_tensorflow File "/usr/local/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py", line 52, in <module> raise ImportError(msg) ImportError: Traceback (most recent call last): File "/usr/local/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module> from tensorflow.python.pywrap_tensorflow_internal import * File "/usr/local/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module> _pywrap_tensorflow_internal = swig_import_helper() File "/usr/local/lib/python3.5/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 "/usr/local/lib/python3.5/imp.py", line 242, in load_module return load_dynamic(name, filename, file) File "/usr/local/lib/python3.5/imp.py", line 342, in load_dynamic return _load(spec) ImportError: /usr/lib64/libstdc++.so.6: version `GLIBCXX_3.4.18' not found (required by /usr/local/lib/python3.5/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so) 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. **最开始是 version 'GLIBC2.14' not found，升级到glibc2.14版本后，又报错 version ‘GLIBC2.18’not found，又升级到2.19版本就报现在这个错误，这真是由于GLIBC版本过低引起的吗，怎么解决？**

训练了一段时间出现了Exception ignored in: <bound method _DataLoaderIter.__del__ of <torch.utils.data.dataloader._DataLoaderIter object at 0x7f3e6f2f14e0>>问题，请问如何解决？

错误内容： Exception ignored in: <bound method _DataLoaderIter.__del__ of <torch.utils.data.dataloader._DataLoaderIter object at 0x7f3e6f2f14e0>> Traceback (most recent call last): File "/home/omnisky/.local/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 399, in __del__ File "/home/omnisky/.local/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 378, in _shutdown_workers File "/usr/lib/python3.5/multiprocessing/queues.py", line 345, in get File "<frozen importlib._bootstrap>", line 969, in _find_and_load File "<frozen importlib._bootstrap>", line 954, in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 887, in _find_spec TypeError: 'NoneType' object is not iterable (https://img-ask.csdn.net/upload/201910/08/1570495131_689106.png)

Tensorflow测试训练styleGAN时报错 No OpKernel was registered to support Op 'NcclAllReduce' with these attrs.

在测试官方StyleGAN。 运行官方与训练模型pretrained_example.py generate_figures.py 没有问题。GPU工作正常。 运行train.py时报错 尝试只用单个GPU训练时没有报错。 NcclAllReduce应该跟多GPU通信有关，不太了解。 InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'NcclAllReduce' with these attrs. Registered devices: [CPU,GPU], Registered kernels: <no registered kernels> [[Node: TrainD/SumAcrossGPUs/NcclAllReduce = NcclAllReduce[T=DT_FLOAT, num_devices=2, reduction="sum", shared_name="c112", _device="/device:GPU:0"](GPU0/TrainD_grad/gradients/AddN_160)]] 经过多番google 尝试过 重启 conda install keras-gpu 重新安装tensorflow-gpu==1.10.0(跟官方版本保持一致) ``` …… Building TensorFlow graph... Setting up snapshot image grid... Setting up run dir... Training... Traceback (most recent call last): File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\python\client\session.py", line 1278, in _do_call return fn(*args) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\python\client\session.py", line 1263, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\python\client\session.py", line 1350, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'NcclAllReduce' with these attrs. Registered devices: [CPU,GPU], Registered kernels: <no registered kernels> [[Node: TrainD/SumAcrossGPUs/NcclAllReduce = NcclAllReduce[T=DT_FLOAT, num_devices=2, reduction="sum", shared_name="c112", _device="/device:GPU:0"](GPU0/TrainD_grad/gradients/AddN_160)]] During handling of the above exception, another exception occurred: Traceback (most recent call last): File "train.py", line 191, in <module> main() File "train.py", line 186, in main dnnlib.submit_run(**kwargs) File "E:\MachineLearning\stylegan-master\dnnlib\submission\submit.py", line 290, in submit_run run_wrapper(submit_config) File "E:\MachineLearning\stylegan-master\dnnlib\submission\submit.py", line 242, in run_wrapper util.call_func_by_name(func_name=submit_config.run_func_name, submit_config=submit_config, **submit_config.run_func_kwargs) File "E:\MachineLearning\stylegan-master\dnnlib\util.py", line 257, in call_func_by_name return func_obj(*args, **kwargs) File "E:\MachineLearning\stylegan-master\training\training_loop.py", line 230, in training_loop tflib.run([D_train_op, Gs_update_op], {lod_in: sched.lod, lrate_in: sched.D_lrate, minibatch_in: sched.minibatch}) File "E:\MachineLearning\stylegan-master\dnnlib\tflib\tfutil.py", line 26, in run return tf.get_default_session().run(*args, **kwargs) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\python\client\session.py", line 877, in run run_metadata_ptr) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\python\client\session.py", line 1100, in _run feed_dict_tensor, options, run_metadata) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\python\client\session.py", line 1272, in _do_run run_metadata) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\python\client\session.py", line 1291, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'NcclAllReduce' with these attrs. Registered devices: [CPU,GPU], Registered kernels: <no registered kernels> [[Node: TrainD/SumAcrossGPUs/NcclAllReduce = NcclAllReduce[T=DT_FLOAT, num_devices=2, reduction="sum", shared_name="c112", _device="/device:GPU:0"](GPU0/TrainD_grad/gradients/AddN_160)]] Caused by op 'TrainD/SumAcrossGPUs/NcclAllReduce', defined at: File "train.py", line 191, in <module> main() File "train.py", line 186, in main dnnlib.submit_run(**kwargs) File "E:\MachineLearning\stylegan-master\dnnlib\submission\submit.py", line 290, in submit_run run_wrapper(submit_config) File "E:\MachineLearning\stylegan-master\dnnlib\submission\submit.py", line 242, in run_wrapper util.call_func_by_name(func_name=submit_config.run_func_name, submit_config=submit_config, **submit_config.run_func_kwargs) File "E:\MachineLearning\stylegan-master\dnnlib\util.py", line 257, in call_func_by_name return func_obj(*args, **kwargs) File "E:\MachineLearning\stylegan-master\training\training_loop.py", line 185, in training_loop D_train_op = D_opt.apply_updates() File "E:\MachineLearning\stylegan-master\dnnlib\tflib\optimizer.py", line 135, in apply_updates g = nccl_ops.all_sum(g) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\contrib\nccl\python\ops\nccl_ops.py", line 49, in all_sum return _apply_all_reduce('sum', tensors) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\contrib\nccl\python\ops\nccl_ops.py", line 230, in _apply_all_reduce shared_name=shared_name)) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\contrib\nccl\ops\gen_nccl_ops.py", line 59, in nccl_all_reduce num_devices=num_devices, shared_name=shared_name, name=name) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\python\util\deprecation.py", line 454, in new_func return func(*args, **kwargs) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\python\framework\ops.py", line 3156, in create_op op_def=op_def) File "d:\Users\admin\Anaconda3\envs\tfenv\lib\site-packages\tensorflow\python\framework\ops.py", line 1718, in __init__ self._traceback = tf_stack.extract_stack() InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'NcclAllReduce' with these attrs. Registered devices: [CPU,GPU], Registered kernels: <no registered kernels> [[Node: TrainD/SumAcrossGPUs/NcclAllReduce = NcclAllReduce[T=DT_FLOAT, num_devices=2, reduction="sum", shared_name="c112", _device="/device:GPU:0"](GPU0/TrainD_grad/gradients/AddN_160)]] ``` ``` #conda list: # Name Version Build Channel _tflow_select 2.1.0 gpu absl-py 0.8.1 pypi_0 pypi alabaster 0.7.12 py36_0 asn1crypto 1.2.0 py36_0 astor 0.8.0 pypi_0 pypi astroid 2.3.2 py36_0 attrs 19.3.0 py_0 babel 2.7.0 py_0 backcall 0.1.0 py36_0 blas 1.0 mkl bleach 3.1.0 py36_0 ca-certificates 2019.10.16 0 certifi 2019.9.11 py36_0 cffi 1.13.1 py36h7a1dbc1_0 chardet 3.0.4 py36_1003 cloudpickle 1.2.2 py_0 colorama 0.4.1 py36_0 cryptography 2.8 py36h7a1dbc1_0 cudatoolkit 9.0 1 cudnn 7.6.4 cuda9.0_0 decorator 4.4.1 py_0 defusedxml 0.6.0 py_0 django 2.2.7 pypi_0 pypi docutils 0.15.2 py36_0 entrypoints 0.3 py36_0 gast 0.3.2 py_0 grpcio 1.25.0 pypi_0 pypi h5py 2.9.0 py36h5e291fa_0 hdf5 1.10.4 h7ebc959_0 icc_rt 2019.0.0 h0cc432a_1 icu 58.2 ha66f8fd_1 idna 2.8 pypi_0 pypi image 1.5.27 pypi_0 pypi imagesize 1.1.0 py36_0 importlib_metadata 0.23 py36_0 intel-openmp 2019.4 245 ipykernel 5.1.3 py36h39e3cac_0 ipython 7.9.0 py36h39e3cac_0 ipython_genutils 0.2.0 py36h3c5d0ee_0 isort 4.3.21 py36_0 jedi 0.15.1 py36_0 jinja2 2.10.3 py_0 jpeg 9b hb83a4c4_2 jsonschema 3.1.1 py36_0 jupyter_client 5.3.4 py36_0 jupyter_core 4.6.1 py36_0 keras-applications 1.0.8 py_0 keras-base 2.2.4 py36_0 keras-gpu 2.2.4 0 keras-preprocessing 1.1.0 py_1 keyring 18.0.0 py36_0 lazy-object-proxy 1.4.3 py36he774522_0 libpng 1.6.37 h2a8f88b_0 libprotobuf 3.9.2 h7bd577a_0 libsodium 1.0.16 h9d3ae62_0 markdown 3.1.1 py36_0 markupsafe 1.1.1 py36he774522_0 mccabe 0.6.1 py36_1 mistune 0.8.4 py36he774522_0 mkl 2019.4 245 mkl-service 2.3.0 py36hb782905_0 mkl_fft 1.0.15 py36h14836fe_0 mkl_random 1.1.0 py36h675688f_0 more-itertools 7.2.0 py36_0 nbconvert 5.6.1 py36_0 nbformat 4.4.0 py36h3a5bc1b_0 numpy 1.17.3 py36h4ceb530_0 numpy-base 1.17.3 py36hc3f5095_0 numpydoc 0.9.1 py_0 openssl 1.1.1d he774522_3 packaging 19.2 py_0 pandoc 2.2.3.2 0 pandocfilters 1.4.2 py36_1 parso 0.5.1 py_0 pickleshare 0.7.5 py36_0 pillow 6.2.1 pypi_0 pypi pip 19.3.1 py36_0 prompt_toolkit 2.0.10 py_0 protobuf 3.10.0 pypi_0 pypi psutil 5.6.3 py36he774522_0 pycodestyle 2.5.0 py36_0 pycparser 2.19 py36_0 pyflakes 2.1.1 py36_0 pygments 2.4.2 py_0 pylint 2.4.3 py36_0 pyopenssl 19.0.0 py36_0 pyparsing 2.4.2 py_0 pyqt 5.9.2 py36h6538335_2 pyreadline 2.1 py36_1 pyrsistent 0.15.4 py36he774522_0 pysocks 1.7.1 py36_0 python 3.6.9 h5500b2f_0 python-dateutil 2.8.1 py_0 pytz 2019.3 py_0 pywin32 223 py36hfa6e2cd_1 pyyaml 5.1.2 py36he774522_0 pyzmq 18.1.0 py36ha925a31_0 qt 5.9.7 vc14h73c81de_0 qtawesome 0.6.0 py_0 qtconsole 4.5.5 py_0 qtpy 1.9.0 py_0 requests 2.22.0 py36_0 rope 0.14.0 py_0 scipy 1.3.1 py36h29ff71c_0 setuptools 39.1.0 pypi_0 pypi sip 4.19.8 py36h6538335_0 six 1.13.0 pypi_0 pypi snowballstemmer 2.0.0 py_0 sphinx 2.2.1 py_0 sphinxcontrib-applehelp 1.0.1 py_0 sphinxcontrib-devhelp 1.0.1 py_0 sphinxcontrib-htmlhelp 1.0.2 py_0 sphinxcontrib-jsmath 1.0.1 py_0 sphinxcontrib-qthelp 1.0.2 py_0 sphinxcontrib-serializinghtml 1.1.3 py_0 spyder 3.3.6 py36_0 spyder-kernels 0.5.2 py36_0 sqlite 3.30.1 he774522_0 sqlparse 0.3.0 pypi_0 pypi tensorboard 1.10.0 py36he025d50_0 tensorflow 1.10.0 gpu_py36h3514669_0 tensorflow-base 1.10.0 gpu_py36h6e53903_0 tensorflow-gpu 1.10.0 pypi_0 pypi termcolor 1.1.0 pypi_0 pypi testpath 0.4.2 py36_0 tornado 6.0.3 py36he774522_0 traitlets 4.3.3 py36_0 typed-ast 1.4.0 py36he774522_0 urllib3 1.25.6 pypi_0 pypi vc 14.1 h0510ff6_4 vs2015_runtime 14.16.27012 hf0eaf9b_0 wcwidth 0.1.7 py36h3d5aa90_0 webencodings 0.5.1 py36_1 werkzeug 0.16.0 py_0 wheel 0.33.6 py36_0 win_inet_pton 1.1.0 py36_0 wincertstore 0.2 py36h7fe50ca_0 wrapt 1.11.2 py36he774522_0 yaml 0.1.7 hc54c509_2 zeromq 4.3.1 h33f27b4_3 zipp 0.6.0 py_0 zlib 1.2.11 h62dcd97_3 ``` 2*RTX2080Ti driver 4.19.67

启动pyspider时，一直卡在result_worker starting...，应该怎么解决

**启动pyspider，一直卡在result__worker starting不往下运行** ``` Microsoft Windows [版本 10.0.17763.678] (c) 2018 Microsoft Corporation。保留所有权利。 C:\Users\zhihe>pyspider all c:\users\zhihe\appdata\local\programs\python\python37\lib\site-packages\pyspider\libs\utils.py:196: FutureWarning: timeout is not supported on your platform. warnings.warn("timeout is not supported on your platform.", FutureWarning) phantomjs fetcher running on port 25555 [I 190821 00:46:03 result_worker:49] result_worker starting... ``` 网上找的到的解决方法都是：关闭防火墙。但是我关闭了防火墙仍然没有效果。 **我的Python版本：** ``` Python 3.7.4 (tags/v3.7.4:e09359112e, Jul 8 2019, 20:34:20) [MSC v.1916 64 bit (AMD64)] on win32 ``` **Pyspider版本：** ``` C:\Users\zhihe>pip3 show pyspider Name: pyspider Version: 0.3.10 Summary: A Powerful Spider System in Python Home-page: https://github.com/binux/pyspider Author: Roy Binux Author-email: roy@binux.me License: Apache License, Version 2.0 Location: c:\users\zhihe\appdata\local\programs\python\python37\lib\site-packages Requires: chardet, Jinja2, tblib, u-msgpack-python, six, click, tornado, lxml, pycurl, requests, wsgidav, Flask, cssselect, pyquery, Flask-Login ``` **Pycurl版本：** ``` C:\Users\zhihe>pip3 show pycurl Name: pycurl Version: 7.43.0.3 Summary: PycURL -- A Python Interface To The cURL library Home-page: http://pycurl.io/ Author: Kjetil Jacobsen, Markus F.X.J. Oberhumer, Oleg Pudeyev Author-email: kjetilja at gmail.com, markus at oberhumer.com, oleg at bsdpower.com License: LGPL/MIT Location: c:\users\zhihe\appdata\local\programs\python\python37\lib\site-packages Requires: Required-by: pyspider ``` 替换关键字的三个文件都进行替换了，忘各位大拿老师解惑

ubuntu18.04 python3.6 pip安装mysqlclient报错

ubuntu18.04 python3.6 pip安装mysqlclient报错 求大佬解答 ``` Building wheels for collected packages: mysqlclient Running setup.py bdist_wheel for mysqlclient ... error Complete output from command /usr/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-njxuuzpo/mysqlclient/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" bdist_wheel -d /tmp/tmpzs54ny_2pip-wheel- --python-tag cp36: running bdist_wheel running build running build_py creating build creating build/lib.linux-x86_64-3.6 creating build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/__init__.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/_exceptions.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/compat.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/connections.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/converters.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/cursors.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/release.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/times.py -> build/lib.linux-x86_64-3.6/MySQLdb creating build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/__init__.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/CLIENT.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/CR.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/ER.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/FIELD_TYPE.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants copying MySQLdb/constants/FLAG.py -> build/lib.linux-x86_64-3.6/MySQLdb/constants running build_ext building 'MySQLdb._mysql' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/MySQLdb x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Dversion_info=(1,4,5,'final',0) -D__version__=1.4.5 -I/usr/include/mysql -I/usr/include/python3.6m -c MySQLdb/_mysql.c -o build/temp.linux-x86_64-3.6/MySQLdb/_mysql.o x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/MySQLdb/_mysql.o -lmysqlclient -lpthread -lz -lm -lrt -latomic -lssl -lcrypto -ldl -o build/lib.linux-x86_64-3.6/MySQLdb/_mysql.cpython-36m-x86_64-linux-gnu.so /usr/bin/ld: cannot find -lssl /usr/bin/ld: cannot find -lcrypto collect2: error: ld returned 1 exit status error: command 'x86_64-linux-gnu-gcc' failed with exit status 1 ---------------------------------------- Failed building wheel for mysqlclient Running setup.py clean for mysqlclient Failed to build mysqlclient Installing collected packages: mysqlclient Running setup.py install for mysqlclient ... error Complete output from command /usr/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-njxuuzpo/mysqlclient/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-ldoqhl56-record/install-record.txt --single-version-externally-managed --compile --user --prefix=: running install running build running build_py creating build creating build/lib.linux-x86_64-3.6 creating build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/__init__.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/_exceptions.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/compat.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/connections.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/converters.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/cursors.py -> build/lib.linux-x86_64-3.6/MySQLdb copying MySQLdb/release.py -> 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