如何更新tensorflow以支持tf.contrib？

Question

我想在tf.contrib模塊中使用初始值設定項和batch_norm，但是我的程序說找不到它。我重新安裝tensorflow仍然不能使用tf.contrib模塊。誰能告訴我爲什麼？

Answer 1

我不知道你做了什麼，但你肯定沒有谷歌最新的Tensorflow版本。您應該按照this tutorial進行安裝。

概括起來：

1. 請確保您有依賴關係：sudo apt-get install python-pip python-dev
2. 卸載不管你現在所擁有的：pip uninstall tensorflow
3. 設置變量：

選擇正確一個：

# Ubuntu/Linux 64-bit, CPU only, Python 2.7 
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl 

# Ubuntu/Linux 64-bit, GPU enabled, Python 2.7 
# Requires CUDA toolkit 7.5 and CuDNN v4. For other versions, see "Install from sources" below. 
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl 

# Ubuntu/Linux 64-bit, CPU only, Python 3.4 
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.9.0-cp34-cp34m-linux_x86_64.whl 

# Ubuntu/Linux 64-bit, GPU enabled, Python 3.4 
# Requires CUDA toolkit 7.5 and CuDNN v4. For other versions, see "Install from sources" below. 
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.9.0-cp34-cp34m-linux_x86_64.whl 

# Ubuntu/Linux 64-bit, CPU only, Python 3.5 
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.9.0-cp35-cp35m-linux_x86_64.whl 

# Ubuntu/Linux 64-bit, GPU enabled, Python 3.5 
# Requires CUDA toolkit 7.5 and CuDNN v4. For other versions, see "Install from sources" below. 
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.9.0-cp35-cp35m-linux_x86_64.whl 

安裝它

選擇正確的一個：

# Python 2 
$ sudo pip install --upgrade $TF_BINARY_URL 

# Python 3 
$ sudo pip3 install --upgrade $TF_BINARY_URL