本文主要是介绍python3.8 安装tensorflow2.6问题，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
import tensorflow as tf
loss_obj_scc = tf.keras.losses.SparseCategoricalCrossentropy()
使用如下方法直接报出如下问题: 原因是keras版本是2.8版本，可能与tf2.6不兼容，
pip install keras==2.6.0 即可解决
# 2022-03-27 22:41:02.116859: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2 # To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. # 2022-03-27 22:41:02.338609: E tensorflow/core/lib/monitoring/collection_registry.cc:77] Cannot register 2 metrics with the same name: /tensorflow/api/keras/optimizers # Traceback (most recent call last): # File "C:/Users/yinchen/PycharmProjects/pythonExercise/tensorflow2exercise.py", line 8, in <module> # loss_obj_scc = tf.keras.losses.SparseCategoricalCrossentropy( # File "C:\anaconda\envs\python38base\lib\site-packages\tensorflow\python\util\lazy_loader.py", line 62, in __getattr__ # module = self._load() # ...... # File "C:\anaconda\envs\python38base\lib\site-packages\tensorflow\python\eager\monitoring.py", line 135, in __init__ # self._metric = self._metric_methods[self._label_length].create(*args) # tensorflow.python.framework.errors_impl.AlreadyExistsError: Another metric with the same name already exists. # # Process finished with exit code 1
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