sweetboxwwy

where is the source code of tf.contrib.tpu.RunConfig(),my tensorflow version is 1.11.0

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run_config = tf.contrib.tpu.RunConfig( cluster=tpu_cluster_resolver, master=FLAGS.master, model_dir=FLAGS.output_dir, save_checkpoints_steps=FLAGS.save_checkpoints_steps, tpu_config=tf.contrib.tpu.TPUConfig( iterations_per_loop=FLAGS.iterations_per_loop, num_shards=FLAGS.num_tpu_cores, per_host_input_for_training=is_per_host))

when I ran train.py.I have the problem:subprocess.CalledProcessError: Command '['python', 'utils/get_pretrained_checkpoints.py', '--model=ResNet101']' returned non-zero exit status 1

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Traceback (most recent call last): File "utils/get_pretrained_checkpoints.py", line 19, in subprocess.check_output(['wget','http://download.tensorflow.org/models/resnet_v2_101_2017_04_14.tar.gz', "-P", "models"]) File "C:\ProgramData\Anaconda3\lib\subprocess.py", line 336, in check_output **kwargs).stdout File "C:\ProgramData\Anaconda3\lib\subprocess.py", line 403, in run with Popen(*popenargs, **kwargs) as...

安全帽佩戴问题：如果图片中有多个人，只要其中有一个人没有佩戴安全帽就输出未佩戴安全帽，应该怎么修改呢

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默认的是只要其中有人佩戴了安全帽，返回值就是佩戴了 https://github.com/PaddlePaddle/PaddleClas/blob/release/2.4/docs/zh_CN/PULC/PULC_safety_helmet.md

processors = { "xnli": XnliProcessor, "tnews": TnewsProcessor, "afqmc": AFQMCProcessor, "iflytek": iFLYTEKDataProcessor, "copa": COPAProcessor, "cmnli": CMNLIProcessor, "wsc": WSCProcessor, "csl": CslProcessor, } 我想要根据这几个类重写一个读取自己数据集的类，在哪里找到这几个类的写法呢

docker部署paddle的问题

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运行 docker run --gpus all -p 9292:9292 --name test -dit registry.baidubce.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel docker exec -it test bash 报错 unable to find image 'regitstry.baiducw.com/paddlepaddle/serving:latest-cuda10.2-cudnn8-devel' localy docker: Error response from daemon: Got https://registry.baiduce.com/v2/:...

是否支持中文

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作者您好，请问是否支持中文知识图谱构建呢

UnboundLocalError: local variable 'fp' referenced before assignment

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安全帽识别代码报错：https://github.com/PaddlePaddle/PaddleClas/blob/release/2.4/docs/zh_CN/PULC/PULC_safety_helmet.md 换了一个数据集就会报以上错误 原因是PaddleClas\ppcls\metric\metrics.py第201行fpr在赋值前被引用，换了个数据集就会报这个错误呢。不换数据集不会报这个错误，是因为代码没有考虑到数据量小于10000的情况嘛 if len(gt_neg_score_list) == 0 and tpr > max_tpr: max_tpr = tpr result = "threshold: {}, fpr: {}, tpr: {:.5f}".format( threshold, fpr, tpr) fpr = np.sum( gt_neg_score_list >...

error pulling image

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error pulling image configuration: download failed after attempts=2: error parsing HTTP 408 response body: invalid character '