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Mokke Meguru MokkeMeguru Tsukuba University Tsukuba, Japan https://mokkemeguru.github.io/portfolio/ I learn Illustration, and research about Dialog System.

MokkeMeguru/common-lisp-mgl-learning 1

learning mgl manual and trying to make seq2seq model

enpitut2019/task-cabinet-server 0

Task Cabinet: 今何をすべきか教えてくれる (server)

enpitut2019/tcs-service 0

task-cabinet-server [will be merged all components]

MokkeMeguru/addons 0

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

MokkeMeguru/AlignTTS 0

Implementation of the AlignTTS

MokkeMeguru/aozora_classification 0

This project aims to classify Japanese sentence to how well similar to some Japanese classical writers, such as Soseki Natsume, Ogai Mori, Ryunosuke Akutagawa and so on.

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pull request commentTensorSpeech/TensorflowTTS

Sort import turns

@dathudeptrai Can you try my vs code settings

{
  "[python]": {
    "editor.codeActionsOnSave": {
      "source.organizeImports": false
    }
  },
  "python.linting.enabled": true,
  "python.linting.pylintEnabled": false,
  "python.linting.lintOnSave": true,
  "python.linting.flake8Enabled": false,
  "editor.formatOnSave": true,
  "python.formatting.provider": "black"
}

This settings prevent import sorting, I think.

MokkeMeguru

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pull request commentTensorSpeech/TensorflowTTS

Sort import turns

(black had not been supported import sorting because this problem, but now may support it suddenly... . If this sort is becuase of black, black team did stupid updates.)

MokkeMeguru

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pull request commentTensorSpeech/TensorflowTTS

Sort import turns

Wow... but

import sys
sys.path.append(".")

this is first-order lines in all examples' codes.

MokkeMeguru

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issue commentTensorSpeech/TensorflowTTS

ModuleNotFoundError: No module named 'examples.fastspeech2'

And also, we can easily remove the example folder from colab environment with the below code.

import examples
!rm -r {'/'.join(examples.__file__.split('/')[:-1])}
import os
!git clone https://github.com/TensorSpeech/TensorflowTTS TTTS
os.chdir("TTTS")
!pip install  .

and then

!python examples/fastspeech/train_fastspeech.py

@MODAK27 Here is what you want, isn't it?

MODAK27

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issue commentTensorSpeech/TensorflowTTS

ModuleNotFoundError: No module named 'examples.fastspeech2'

@ZDisket I don't know colab well. It is th colab-dependencies problem.

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issue commentTensorSpeech/TensorflowTTS

ModuleNotFoundError: No module named 'examples.fastspeech2'

I update the code of fastspeech2.

@MODAK27 init.py is not needed in our settings. You can do our example in python 3.6. after my pull request (#98) is merged.

git clone https://github.com/TensorSpeech/TensorflowTTS TTTS
cd TTTS
docker-compose build
docker-compose up -d 
docker-compose exec tensorflowtts /bin/bash
python --version
# 3.6.9
python examples/fastspeech2/train_fastspeech2.py 
MODAK27

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PR opened TensorSpeech/TensorflowTTS

Sort import turns

You should import sys and sys.path.append(".") before the import of example's folder. see. https://github.com/TensorSpeech/TensorflowTTS/issues/93

+8 -6

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issue commentthheller/shadow-cljs

Cannot import Plotly

Hello.

I tried nearly same code. but I found plot is a "{}", not a class.

(ns namespace
  ["react-plotly" as plot])

(goog/typeOf plot) => object 
(.log js/console plot) => {}
  • react-plotly (1.0.0) is installed via npm
  • compiler-options are also appended
                                :rewrite-polyfills true
                                :ouput-feature-set :es3
                         

Can you give me some examples to use this library?

qleguennec

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issue commentMokkeMeguru/TFGENZOO

Any ways to pass constant into a flow component?

Take a 24 hour to implement the example...

gitlabspy

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issue commentMokkeMeguru/TFGENZOO

Any ways to pass constant into a flow component?

ConditionalAffincCoupling Layer can do so

gitlabspy

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issue commentTensorSpeech/TensorflowTTS

ModuleNotFoundError: No module named 'examples'

@jun-danieloh https://github.com/TensorSpeech/TensorflowTTS/issues/41#issuecomment-652794838

jun-danieloh

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issue commentTensorSpeech/TensorflowTTS

Running path problem

We now solve the problem I think. Can you try below code

git clone https://github.com/TensorSpeech/TensorflowTTS TTTS
cd TTTS
docker-compose build
docker-compose up -d
docker-compose exec tensoflowtts /bin/bash
python examples/tacotron2/train_tacotron2.py 
# ...
UNPARALLELE

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pull request commentTensorSpeech/TensorflowTTS

fix path problem

reproduced log

git clone https://github.com/TensorSpeech/TensorflowTTS TTTS
cd TTTS
docker-compose build
docker-compose up -d
docker-compose exec tensoflowtts /bin/bash
python examples/tacotron2/train_tacotron2.py 
# Traceback (most recent call last):
#   File "examples/tacotron2/train_tacotron2.py", line 31, in <module>
#     from examples.tacotron2.tacotron_dataset import CharactorMelDataset
# ModuleNotFoundError: No module named 'examples'
git checkout dev/update-docker-compose
# Branch 'dev/update-docker-compose' set up to track remote branch 'dev/update-docker-compose' from 'origin'.
# Switched to a new branch 'dev/update-docker-compose'
python examples/tacotron2/train_tacotron2.py 
# ...
MokkeMeguru

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PR opened TensorSpeech/TensorflowTTS

fix path problem

ref. https://github.com/TensorSpeech/TensorflowTTS/issues/80

+20 -2

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issue commentTensorSpeech/TensorflowTTS

ModuleNotFoundError: No module named 'examples'

I will fix it now...

jun-danieloh

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issue commentTensorSpeech/TensorflowTTS

ModuleNotFoundError: No module named 'examples'

Sorry, our implementation mistake. ref. https://github.com/TensorSpeech/TensorflowTTS/issues/41#issuecomment-652063420

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issue commentTensorSpeech/TensorflowTTS

Running path problem

Sorry, my mistake. We should use

import sys
sys.path.append(".")

import ...
UNPARALLELE

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issue commentTensorSpeech/TensorflowTTS

Running path problem

We should use

from tensorflow_tts.examples ...

instead of

from examples ...

in whole example script.

UNPARALLELE

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pull request commentTensorSpeech/TensorflowTTS

dockerize repository

I think no. We need end-to-end tutorial. In its tutorial, we need to use docker. In other words, we don't have to pick up docker's tutorial.

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dockerize repository

applied @dathudeptrai 's two comments

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created tagMokkeMeguru/TFGENZOO

tagv1.2.4

Library about construction helper for Generative models with Tensorflow 2.x.

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pull request commentTensorSpeech/TensorflowTTS

dockerize repository

ref. #56

MokkeMeguru

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PR opened TensorSpeech/TensorflowTTS

dockerize repository

Docker is the best solution for running codes in the machine of the lab or the company without changing its system.

an Example:

  • docker-compose build
  • docker-compose up -d
  • docker-compose exec tensorflowtts /bin/bash
  • tmux
  • (any operation such as training)
  • Ctrl-b d (exit from tmux)
  • Ctrl-p Ctrl-q (exit from docker shell)
+20 -0

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