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How to run TensorFlow for SSE4.1 SSE4.2 AVX AVX2 FMA on Python with Spyder on MacOs #2

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Hi, I am trying to run the code "lstm.py" in chapter 6. I am getting the following message once I run it with Spyder in Anaconda, Python 3.7.

I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations: SSE4.1 SSE4.2 AVX AVX2 FMA

To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags.

I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 4. Tune using inter_op_parallelism_threads for best performance.

Can you please provide some guidance on what should be done to solve this issue? Thanks.

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