W tensorflow/core/platform/cpu_feature_guard.cc:45]
W tensorflow/core/platform/cpu_feature_guard.cc:] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
he hoped there would be stoo for dinner turnips and charrats and bruzed patatos and fat mutton pieces to be ladled out in th thick peppered flower fatan sauce
W tensorflow/core/platform/cpu_feature_guard.cc:45]的更多相关文章
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只需要加载如下代码: import os os.environ['
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临时解决版本进入python后只需下面命令 import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
- W tensorflow/core/util/ctc/ctc_loss_calculator.cc:144] No valid path found 或 loss:inf的解决方案
基于Tensorflow和Keras实现端到端的不定长中文字符检测和识别(文本检测:CTPN,文本识别:DenseNet + CTC),在使用自己的数据训练这个模型的过程中,出现如下错误,由于问题已经 ...
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