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refactor: Rebranding complete
Signed-off-by: Naren Dasan <[email protected]> Signed-off-by: Naren Dasan <[email protected]>
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‎.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: "✨[Feature] An idea about a new feature in TRTorch"
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title: "✨[Feature] An idea about a new feature in Torch-TensorRT"
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labels: feature request
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assignees: narendasan
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‎.github/ISSUE_TEMPLATE/--question.md

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---
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name: "❓ Question"
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about: Ask a question about using TRTorch
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about: Ask a question about using Torch-TensorRT
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title: "❓ [Question] How do you ....? "
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labels: question
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assignees: ''
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## Environment
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> Build information about the TRTorch compiler can be found by turning on debug messages
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> Build information about Torch-TensorRT can be found by turning on debug messages
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- PyTorch Version (e.g., 1.0):
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- CPU Architecture:

‎.github/ISSUE_TEMPLATE/bug-report.md

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---
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name: "\U0001F41B Bug Report"
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about: Submit a bug report on an issue encountered with TRTorch
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title: "\U0001F41B [Bug] Encountered bug when using TRTorch"
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about: Submit a bug report on an issue encountered with Torch-TensorRT
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title: "\U0001F41B [Bug] Encountered bug when using Torch-TensorRT"
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labels: bug
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assignees: ''
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## Environment
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> Build information about the TRTorch compiler can be found by turning on debug messages
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> Build information about Torch-TensorRT can be found by turning on debug messages
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- TRTorch Version (e.g. 0.2.0):
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- Torch-TensorRT Version (e.g. 1.0.0):
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- PyTorch Version (e.g. 1.0):
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- CPU Architecture:
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- OS (e.g., Linux):

‎.github/ISSUE_TEMPLATE/op-converter-request.md

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---
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name: "↔ Op Converter Request"
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about: Submit a proposal/request to support a new PyTorch operator in TRTorch
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title: "↔ [Converter] Add support for my_op in TRTorch"
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about: Submit a proposal/request to support a new PyTorch operator in Torch-TensorRT
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title: "↔ [Converter] Add support for my_op in Torch-TensorRT"
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labels: 'component: converters, feature request'
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assignees: ''
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‎.github/pr-labels.yml

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"component: trtorchc":
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- cpp/trtorchc/**/*
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"component: torchtrtc":
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- cpp/torchtrtc/**/*
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"component: api [C++]":
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- cpp/**/*
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‎.github/workflows/docgen.yml

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build-docs:
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runs-on: ubuntu-18.04
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container:
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image: docker.pkg.github.com/nvidia/trtorch/docgen:latest
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image: docker.pkg.github.com/nvidia/torch-tensorrt/docgen:latest
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credentials:
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username: $GITHUB_ACTOR
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password: ${{secrets.GITHUB_TOKEN}}
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- name: Generate New Docs
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run: |
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cd docsrc
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python3 -c "import trtorch; print(trtorch.__version__)"
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python3 -c "import torch_tensorrt; print(torch_tensorrt.__version__)"
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make html
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- uses: stefanzweifel/git-auto-commit-action@v4
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with:
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# Required
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commit_message: "docs: [Automated] Regenerating documenation for ${{ steps.vars.outputs.sha }}"
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commit_options: "--no-verify --signoff"
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file_pattern: docs/
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commit_user_name: TRTorch Github Bot
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commit_user_email: trtorch[email protected]
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commit_author: TRTorch Github Bot <trtorch[email protected]>
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commit_user_name: Torch-TensorRT Github Bot
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commit_user_email: torch-tensorrt[email protected]
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commit_author: Torch-TensorRT Github Bot <torch-tensorrt[email protected]>

‎.github/workflows/linter.yml

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GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
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- name: Run image
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run: |
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docker run -it -d --name cpplinter -e GITHUB_TOKEN=$GITHUB_TOKEN -v $GITHUB_WORKSPACE:/workspace -v $GITHUB_EVENT_PATH:/GITHUB_EVENT.json -w /workspace docker.pkg.github.com/nvidia/trtorch/docgen:latest
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docker run -it -d --name cpplinter -e GITHUB_TOKEN=$GITHUB_TOKEN -v $GITHUB_WORKSPACE:/workspace -v $GITHUB_EVENT_PATH:/GITHUB_EVENT.json -w /workspace docker.pkg.github.com/nvidia/torch-tensorrt/docgen:latest
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docker exec cpplinter bash -c "cp /workspace/docker/WORKSPACE.docs /workspace/WORKSPACE"
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env:
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GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
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GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
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- name: Run image
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run: |
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docker run -it -d --name pylinter -e GITHUB_TOKEN=$GITHUB_TOKEN -v $GITHUB_WORKSPACE:/workspace -v $GITHUB_EVENT_PATH:/GITHUB_EVENT.json -w /workspace docker.pkg.github.com/nvidia/trtorch/docgen:latest
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docker run -it -d --name pylinter -e GITHUB_TOKEN=$GITHUB_TOKEN -v $GITHUB_WORKSPACE:/workspace -v $GITHUB_EVENT_PATH:/GITHUB_EVENT.json -w /workspace docker.pkg.github.com/nvidia/torch-tensorrt/docgen:latest
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docker exec pylinter bash -c "cp /workspace/docker/WORKSPACE.docs /workspace/WORKSPACE"
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env:
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GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}

‎.gitignore

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bazel-testlogs
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bazel-TRTorch
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bazel-trtorch-testing
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bazel-torch-tensorrt
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bazel-Torch-TensorRT
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third_party/pytorch
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*.jit
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*.jit.pt

‎CONTRIBUTING.md

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# Contribution Guidelines
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### Developing TRTorch
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### Developing Torch-TensorRT
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Do try to fill an issue with your feature or bug before filling a PR (op support is generally an exception as long as you provide tests to prove functionality). There is also a backlog (https://github.com/NVIDIA/TRTorch/issues) of issues which are tagged with the area of focus, a coarse priority level and whether the issue may be accessible to new contributors. Let us know if you are interested in working on a issue. We are happy to provide guidance and mentorship for new contributors. Though note, there is no claiming of issues, we prefer getting working code quickly vs. addressing concerns about "wasted work".
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Do try to fill an issue with your feature or bug before filling a PR (op support is generally an exception as long as you provide tests to prove functionality). There is also a backlog (https://github.com/NVIDIA/Torch-TensorRT/issues) of issues which are tagged with the area of focus, a coarse priority level and whether the issue may be accessible to new contributors. Let us know if you are interested in working on a issue. We are happy to provide guidance and mentorship for new contributors. Though note, there is no claiming of issues, we prefer getting working code quickly vs. addressing concerns about "wasted work".
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#### Communication
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‎WORKSPACE

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workspace(name = "TRTorch")
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workspace(name = "Torch-TensorRT")
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load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
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load("@bazel_tools//tools/build_defs/repo:git.bzl", "git_repository")
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shallow_since = "1570114335 -0400",
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)
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# External dependency for trtorch if you already have precompiled binaries.
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# This is currently used in pytorch NGC container CI testing.
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# External dependency for torch_tensorrt if you already have precompiled binaries.
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local_repository(
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name = "trtorch",
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path = "/opt/conda/lib/python3.8/site-packages/trtorch"
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name = "torch_tensorrt",
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path = "/opt/conda/lib/python3.8/site-packages/torch_tensorrt"
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# Testing Dependencies (optional - comment out on aarch64)
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#########################################################################
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pip_install(
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name = "trtorch_py_deps",
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name = "torch_tensorrt_py_deps",
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requirements = "//py:requirements.txt",
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)
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