怎么在mac下安装tensorflow

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安装： 1. 安装virtualenv 用pip命令来安装 vmac$ sudo pip install --upgrade virtualenv 2. 安装好后创建一个工作目录,我直接在home里创建了个文件夹. vmac$ virtualenv --system-site-packages ~/tensorflow 3. 然后进入目录激活沙箱 vmac$ cd ~/tensorflow vmac$ source bin/activate (tensorflow) vmac$ 4. 下载tensorflow http://pan.baidu.com/s/1ntjaMnf 密码:sznb 把下载下来的tensorflow-0.5.0-py2-none-any.whl文件放到~/tensorflow目录里. 进入沙箱后,执行命令来安装tensorflow在沙箱中. (tensorflow) vmac$ pip install --upgrade tensorflow-0.5.0-py2-none-any.whl

   5. 创建个myfirst.py文件 测试一下。      vmac$ python myfirst.py

import tensorflow as tfimport numpy as np# Create 100 phony x, y data points in NumPy, y = x * 0.1 + 0.3x_data = np.random.rand(100).astype(np.float32)y_data = x_data * 0.1 + 0.3# Try to find values for W and b that compute y_data = W * x_data + b# (We know that W should be 0.1 and b 0.3, but Tensorflow will# figure that out for us.)W = tf.Variable(tf.random_uniform([1], -1.0, 1.0))b = tf.Variable(tf.zeros([1]))y = W * x_data + b# Minimize the mean squared errors.loss = tf.reduce_mean(tf.square(y - y_data))optimizer = tf.train.GradientDescentOptimizer(0.5)train = optimizer.minimize(loss)# Before starting, initialize the variables.  We will 'run' this first.init = tf.initialize_all_variables()# Launch the graph.sess = tf.Session()sess.run(init)# Fit the line.for step in range(201):    sess.run(train)    if step % 20 == 0:        print(step, sess.run(W), sess.run(b))# Learns best fit is W: [0.1], b: [0.3]

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