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For now, I will checkout the previous commit and continue preprocessing.
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Hi,
I am training a model based on the pre-trained universal sentence encoder model. When i was using gpu to train the model, the virtual memory was constantly increasing, then the system killed t…
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### System information
colab.research.google.com using Python3 and GPU runtime.
### Describe the problem
Getting the module from the Hub doesn't work.
```
KeyError: "The name 'global_step:0'…
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I am very new to Tensorflow, I am trying to use text module.
```
module_path = "https://tfhub.dev/google/universal-sentence-encoder/2"
g = tf.Graph()
with g.as_default():
similarity_input_p…
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Hi,
I am trying to create a module from an existing graph as described [here](https://github.com/tensorflow/hub/issues/27). The problem is I dont know how to get the input and return tensor names. I …
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We are running into issues using sentencepiece and text encoder in python 2.7.6 and tensorflow 1.8
module = hub.Module("https://tfhub.dev/google/universal-sentence-encoder-lite/2")
File "/us…
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Using command:
```
t2t-decoder \
> --t2t_usr_dir=~/bAbI-T2T/t2t_usr_dir \
> --data_dir=~/babi_data/data \
> --output_dir=~/babi_data/outpu \
> --problem=babi_qa_sentence_task1_10k \
>…
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I'm trying to deploy a application using Django + Text Module.
I have a view with the logic using the module, but I need to keep the module on memory, to avoid the time the module need to load in eve…
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This is due to "prepend_name_scope" failing silently when given a "bytes" instead of "string".
It fails with an error like:
```
WARNING:tensorflow:cannot use a string pattern on a bytes-like ob…
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**Edit: for easy reference, the proposed new API is at https://github.com/micropython/micropython/wiki/Hardware-API**
Since we have the WiPy TODO list (#1425) Damien and I spent some time today discu…