Anaconda 安装 TensorFlow 1.15 而不是 2.0

Anaconda installs TensorFlow 1.15 instead of 2.0(Anaconda 安装 TensorFlow 1.15 而不是 2.0)

问题描述

我一直在尝试在 Anaconda 中安装 Tensorflow 2.0.

到目前为止，tensorflow 工作正常(我可以在我的代码中使用该库)，但是当我安装它时，它显示正在安装版本:2.0"，然后我得到了 1.15 版本.

整个包的结果是可更新的(因为版本 2.0 确实存在并且应该可用)，但即使我尝试更新它，我也会不断得到 1.15，它又回到了可更新状态，然后我又回到了循环中.

我尝试了从 Anaconda Navigator 界面和使用 conda update tensorflow 的提示，但没有任何成功.

这里有链接包:

.如 tf.keras 更可取，开发将继续进行2.3.0" rel="nofollow noreferrer">F.肖莱特

I've been trying to install Tensorflow 2.0 in Anaconda.

So far, tensorflow works fine (i can use the library in my code), but when i'm installing it, it says "installing version: 2.0", then i get version 1.15 instead.

The whole package results updatable (since versione 2.0 does exist and should be available), but even if i try to update it, i keep getting 1.15, which gets back to updatable, and i get back into the loop.

I tried both from the Anaconda Navigator interface and the prompt using conda update tensorflow, without any success.

Here's there is the link package: tensorflow 2.0 Anaconda

How can i solve the problem?

EDIT :

I successfully installed TensorFlow 2.0 using conda install -c anaconda tensorflow. Then i got back into Anaconda Navigator and i tried to install Keras 2.2.4.

Looking at the installed packages, seems that installing Keras overwrites the version 2.0 of TensorFlow with the 1.15, am i wrong? Is this a bug?

Here's the image:

conda install -c anaconda tensorflow-gpu

or

conda install -c anaconda tensorflow

Look for these:

Tip: completely shred any file w/ name substring "keras" and "tensorflow" in your Anaconda environment before installing - else stuff is likely to break.

1. Navigate to your site-packages
2. Search **keras** --> delete all results
3. Search **tensorflow** --> delete all results

Above should work even better from the environment's root folder (e.g. envs/tf2_env) -- the idea is, Anaconda caches whatever it's already installed, so if it isn't completely removed, you may find trouble getting latest vers of packages.

Related Q's answered in comments:

1. Why is conda reverting TF 2 to TF 1.15.0 when I try installing Keras 2.2.4?

   • TF2's only compatible w/ Keras 2.2.5+, so conda is taking care of compatibility

2. Why are some from keras imports no longer working and need from tensorflow.keras?

   • from keras is very different from from tensorflow.keras, implementation-wise. from keras is backend-neutral, whereas tf.keras is more tightly integrated w/ TF. There can also be significant performance differences. TF2 and onward, tf.keras is preferable, and development will proceed along it, as noted by F. Chollet
   • Also beware of tf.python.keras

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