[Python] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA

에러발생

(py37) parkgyeongtae-2:2_cartpole-v1 pgt0409$ python 7_test.py 
2022-04-29 13:20:30.672022: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

 

 

문제의 코드

from keras.models                import Sequential
from keras.layers                import Dense
from tensorflow.keras.optimizers import Adam

def build_model():
  model = Sequential()
  model.add(Dense(128, input_dim = 4, activation = 'relu'))
  model.add(Dense(64, activation = 'relu'))
  model.add(Dense(32, activation = 'relu'))
  model.add(Dense(16, activation = 'relu'))
  model.add(Dense(2, activation = 'softmax'))
  model.compile(loss='mse', optimizer = Adam())
  return model

model = build_model()
print(model.summary())

 

에러 해결된 코드

from keras.models                import Sequential
from keras.layers                import Dense
from tensorflow.keras.optimizers import Adam

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'

def build_model():
  model = Sequential()
  model.add(Dense(128, input_dim = 4, activation = 'relu'))
  model.add(Dense(64, activation = 'relu'))
  model.add(Dense(32, activation = 'relu'))
  model.add(Dense(16, activation = 'relu'))
  model.add(Dense(2, activation = 'softmax'))
  model.compile(loss='mse', optimizer = Adam())
  return model

model = build_model()
print(model.summary())