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? ? ? ?参考的吴恩达的课程，练习代码，用pycharm + TensorFlow-cpu2.1.0运行下面的代码，会得到下面的系列错误(逐步注释调试)：
import numpy as np
import tensorflow as tf
print("hello world")
w = tf.Variable(0.0, dtype=tf.float32)
cost = tf.add(tf.add(w**2, tf.multiply(-10., w)), 25)
train = tf.train.GradientDescentOptimizer(0.01).minimize(cost)
init = tf.global_variables_initializer()
session = tf.Session()
session.run(init)
print(session.run(w))
session.run(train)
print(session.run(w))
for i in range(1000):
session.run(train)
print(session.run(w))
? ? ? ?逐步注释，多次运行后，得到下面的错误信息汇总：
错误1——AttributeError: module 'tensorflow_core._api.v2.train' has no attribute 'GradientDescentOptimizer'
错误2——AttributeError: module 'tensorflow' has no attribute 'global_variables_initializer'
错误3—— ttributeError: module 'tensorflow' has no attribute 'Session'
? ? ? ? 经过多次百度，发现程序没错，是tensoflow-cpu2.1.0搞的鬼。原来tensoflow-cpu2.1.0版本的import语法，与之前的版本不一样了。
改写成下面的形式即可，亲自测试，有效：
import numpy as np
# import tensorflow as tf # 旧版本的语法
import tensorflow.compat.v1 as tf # TensorFlow2.1.0版本的语法
tf.compat.v1.disable_eager_execution() # 必须要这行，否者会发生错误信息： RuntimeError: `loss` passed to Optimizer.compute_gradients should be a function when eager execution is enabled.
print("hello world")
w = tf.Variable(0.0, dtype=tf.float32)
cost = tf.add(tf.add(w**2, tf.multiply(-10., w)), 25)
train = tf.train.GradientDescentOptimizer(0.01).minimize(cost)
init = tf.global_variables_initializer()
# session = tf.Session() # 旧版本的语法
session = tf.compat.v1.Session() # TensorFlow2.1.0版本的语法
session.run(init)
print(session.run(w))
session.run(train)
print(session.run(w))
for i in range(1000):
session.run(train)
print(session.run(w))
? ? ? ? 运行结果
"D:\Program Files\Python37\python.exe" E:\PycharmProjects\3-11TesorFlow\sources\mytest.py
2020-04-22 23:58:27.464366: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-04-22 23:58:27.464647: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
hello world
WARNING:tensorflow:From C:\Users\Administrator\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\ops\resource_variable_ops.py:1635: calling BaseResourceVariable.init (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
2020-04-22 23:58:32.745598: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2020-04-22 23:58:32.745828: E tensorflow/stream_executor/cuda/cuda_driver.cc:351] failed call to cuInit: UNKNOWN ERROR (303)
2020-04-22 23:58:32.752420: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-5FDTSAD
2020-04-22 23:58:32.752868: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-5FDTSAD
2020-04-22 23:58:32.754668: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
0.0
0.099999994
4.9999886
Process finished with exit code 0
