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‎.github/ISSUE_TEMPLATE/bug_report.md‎

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---
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name: Bug report
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about: Create a report to help us improve
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title: "[Model/Framework] What is the problem?"
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labels: bug
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assignees: ''
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---
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Related to **Model/Framework(s)**
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*(e.g. GNMT/PyTorch or FasterTransformer/All)*
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**Describe the bug**
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A clear and concise description of what the bug is.
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**To Reproduce**
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Steps to reproduce the behavior:
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1. Install '...'
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2. Set "..."
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2. Launch '...'
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**Expected behavior**
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A clear and concise description of what you expected to happen.
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**Environment**
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Please provide at least:
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* Container version (e.g. pytorch:19.05-py3):
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* GPUs in the system: (e.g. 8x Tesla V100-SXM2-16GB):
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* CUDA driver version (e.g. 418.67):

‎.github/ISSUE_TEMPLATE/feature_request.md‎

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---
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name: Feature request
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about: Suggest an idea for this project
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title: "[Model/Framework or something else] Feature requested"
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labels: enhancement
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assignees: ''
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---
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Related to **Model/Framework(s) or something else (describe)**
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*Examples:*
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* *GNMT/PyTorch*
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* *AMP*
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* *Tensorflow 2.0*
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* *Jupyter notebooks*
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**Is your feature request related to a problem? Please describe.**
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A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
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**Describe the solution you'd like**
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A clear and concise description of what you want to happen.
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**Describe alternatives you've considered**
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A clear and concise description of any alternative solutions or features you've considered.
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**Additional context**
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Add any other context or screenshots about the feature request here.

‎.github/workflows/cla.yml‎

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name: "DCO Assistant"
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on:
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issue_comment:
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types: [created]
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pull_request_target:
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types: [opened,closed,synchronize]
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permissions:
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actions: write
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contents: write
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pull-requests: write
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statuses: write
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jobs:
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DCOAssistant:
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runs-on: ubuntu-latest
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steps:
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- name: "DCO Assistant"
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if: (github.event.comment.body == 'recheck' || github.event.comment.body == 'I have read the DCO Document and I hereby sign the DCO') || github.event_name == 'pull_request_target'
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uses: contributor-assistant/[email protected]
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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with:
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path-to-signatures: '.github/dco/signatures.json'
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path-to-document: 'https://developercertificate.org/'
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branch: 'dco-do-not-remove'
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allowlist: user1,bot*
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use-dco-flag: true
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custom-notsigned-prcomment: '<br/>Thank you for your submission. Before we can accept your contribution, please sign our [Developer Certificate of Origin](https://developercertificate.org) by posting a comment with the content exactly as below.<br/>'

‎.gitignore‎

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repos.cfg
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repos_init.cfg
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nvtool*

‎.gitmodules‎

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[submodule "PyTorch/SpeechRecognition/Jasper/external/triton-inference-server"]
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path = PyTorch/SpeechRecognition/Jasper/external/triton-inference-server
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url = https://github.com/NVIDIA/triton-inference-server.git
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branch = r19.12

‎CUDA-Optimized/FastSpeech/.gitignore‎

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.idea
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__pycache__
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.DS_Store
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*.egg-info
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.vscode

‎CUDA-Optimized/FastSpeech/Dockerfile‎

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ARG FROM_IMAGE_NAME=nvcr.io/nvidia/pytorch:20.10-py3
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FROM ${FROM_IMAGE_NAME}
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# ARG UNAME
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# ARG UID
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# ARG GID
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# RUN groupadd -g $GID -o $UNAME
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# RUN useradd -m -u $UID -g $GID -o -s /bin/bash $UNAME
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# USER $UNAME
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ADD . /workspace/fastspeech
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WORKDIR /workspace/fastspeech
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RUN sh ./scripts/install.sh

‎CUDA-Optimized/FastSpeech/LICENSE‎

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Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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* Neither the name of the NVIDIA CORPORATION nor the
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names of its contributors may be used to endorse or promote products
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derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
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DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

‎CUDA-Optimized/FastSpeech/MANIFEST.in‎

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include fastspeech/hparams/*.yaml
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recursive-include fastspeech/trt/plugins *.so

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