prepare_attention API of tensorflow 1.0.0 equivalent in tensorflow 1.2.0
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About “prepare_attention API of tensorflow 1.0.0 equivalent in tensorflow 1.2.0” questions
What is the equivalent API in tensorflow 1.2.0 for prepare_attention(tf.contrib.seq2seq.prepare_attention) of tensorflow 1.0.0?
Thanks in advance
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I tried to install tensorflow by typing this command on anaconda: pip install tensorflow==1.2.0. However, I get the following error:
Could not find a version that satisfies the requirement tensorfl...
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I am trying to install tensorflow 1.0.0 on windows 10 , but, it's showing this error message:
Could not find a version that satisfies the requirement tensorflow==1.0 (from versions ...
No matching
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In Tensorflow 1.0, the seq2seq API was largely changed, and is no longer compatible with previous seq2seq examples. In particular, I find attention decoders quite a bit more challenging to build: t...
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I have below version of python:
C:\Users\Dell\AppData\Local\Programs\Python\Python35-32\python.exe
and executed the command:
pip3 install --upgrade tensorflow
getting the following error:
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I tried to install tensorflow on my Mac OS X 10.10.5 (Yosemite) system, with Python 3.6. This failed with the message:
pip install tensorflow --user
Collecting tensorflow
Could not find a ve...
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I have GNU/Linux box, I am trying to install Tensorflow 2.2. Currently I have
python3.6 --version
Python 3.6.12
and when I try to run my code it says
ImportError: Keras requires TensorFlow 2.2 or ...
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I cannot find the equivalent of numpy's fill function in Tensorflow. Tensorflow has a fill function, but it is not equivalent. Specifically, the tensorflow function returns a new, constant tensor. ...
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I am trying to translate this pix2pix GAN code to Tensorflow 1.0.0 using the following script as described in Tensorflow Documentation, but I keep getting the following error:
ValueError: Varia...
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When both Java and Python tensorflow versions are 1.2.0, it seems we can use SavedModelBundle (Java) and Saved Model API (Python) in order to save a trained model in Python tensorflow and load the ...
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