Python 在Tensorflow中导入警告

我在导入tensorflow时收到这些警告

系统：Windows 10 64位

Python:3.5.2

Tensorflow CPU:1.1.0夜间构建

2017-04-04 16:59:56.185045: W c:\tf_jenkins\home\workspace\nightly-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations.
2017-04-04 16:59:56.185185: W c:\tf_jenkins\home\workspace\nightly-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations.
2017-04-04 16:59:56.186551: W c:\tf_jenkins\home\workspace\nightly-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
2017-04-04 16:59:56.187141: W c:\tf_jenkins\home\workspace\nightly-win\device\cpu\os\windows\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.
2017-04-04 16:59:56.187629: W c:\tf_jenkins\home\workspace\nightly-win\device\cpu\os\windows\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.
2017-04-04 16:59:56.188138: W c:\tf_jenkins\home\workspace\nightly-win\device\cpu\os\windows\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.

虽然在python中运行时这些都不是问题，但是当我从MATLAB调用python脚本时，问题就出现了。我有一个朋友用Theano做了同样的事情，他告诉我，为了让它在MATLAB上工作，你必须重新查看所有的错误和警告。我已尝试了所有可用的解决方案，但仍无法解决这些警告

如果有人能回答这个问题，我将非常感激

---

如果您是从源代码构建tensorflow并使用高度实验性的

您可以使用以下参数：

bazel build -c opt --copt=-mavx --copt=-mavx2 \
   --copt=-mfma \
   --copt=-mfpmath=both \ 
   --copt=-msse4.2 \
   --config=cuda -k //tensorflow/tools/pip_package:build_pip_package

---

如果您没有使用cuda支持进行构建，请删除

--config=cuda-k

。

可能与linux版相同，而且我不使用anaconda。因此，这个问题可能不应该重复。你是从源代码构建的吗？我必须这样做，因为我没有其他选择。为什么你不能通过pip安装？我现在正在我的ubuntu机器上构建它，它将把.whl文件安装到windows中。我不知道这是否有效，但让我们看看我试图构建文件，但失败了，所以是否有一种方法可以指示解释器完全忽略警告