Skip to content

Conversation

@xta0
Copy link
Contributor

@xta0 xta0 commented Mar 20, 2022

Stack from ghstack (oldest at bottom):

For xirp based segmentation models, we want to support enumerated input shapes. This allows us to support both landscape and portrait mode images without sacrificing the performance. P488118264

Differential Revision: D34803184

NOTE FOR REVIEWERS: This PR has internal Facebook specific changes or comments, please review them on Phabricator!

For xirp based segmentation models, we want to support enumerated input shapes. This allows us to support both landscape and portrait mode images without sacrificing the performance. P488118264

Differential Revision: [D34803184](https://our.internmc.facebook.com/intern/diff/D34803184/)

**NOTE FOR REVIEWERS**: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D34803184/)!

[ghstack-poisoned]
@facebook-github-bot
Copy link
Contributor

facebook-github-bot commented Mar 20, 2022

🔗 Helpful links

💊 CI failures summary and remediations

As of commit bb88268 (more details on the Dr. CI page):


💚 💚 Looks good so far! There are no failures yet. 💚 💚


This comment was automatically generated by Dr. CI (expand for details).

Please report bugs/suggestions to the (internal) Dr. CI Users group.

Click here to manually regenerate this comment.

@pytorch-bot
Copy link

pytorch-bot bot commented Mar 20, 2022

CI Flow Status

⚛️ CI Flow

Ruleset - Version: v1
Ruleset - File: https://github.com/pytorch/pytorch/blob/bb88268557a40aaf44108ce09549fda2a18f14bb/.github/generated-ciflow-ruleset.json
PR ciflow labels: ciflow/default
Add ciflow labels to this PR to trigger more builds:

Workflows Labels (bold enabled) Status
Triggered Workflows
deploy-linux-xenial-cuda11.3-py3.7-gcc7 ciflow/all, ciflow/cuda, ciflow/default, ciflow/linux, ciflow/trunk ✅ triggered
linux-binary-conda ciflow/binaries, ciflow/binaries_conda, ciflow/default ✅ triggered
linux-binary-libtorch-cxx11-abi ciflow/all, ciflow/binaries, ciflow/binaries_libtorch, ciflow/default, ciflow/trunk ✅ triggered
linux-binary-libtorch-pre-cxx11 ciflow/all, ciflow/binaries, ciflow/binaries_libtorch, ciflow/default, ciflow/trunk ✅ triggered
linux-binary-manywheel ciflow/all, ciflow/binaries, ciflow/binaries_wheel, ciflow/default, ciflow/trunk ✅ triggered
linux-bionic-py3.7-clang9 ciflow/all, ciflow/cpu, ciflow/default, ciflow/linux, ciflow/noarch, ciflow/trunk ✅ triggered
linux-bionic-rocm4.5-py3.7 ciflow/all, ciflow/default, ciflow/linux, ciflow/rocm, ciflow/trunk ✅ triggered
linux-docs ciflow/all, ciflow/cpu, ciflow/default, ciflow/docs, ciflow/linux, ciflow/trunk ✅ triggered
linux-vulkan-bionic-py3.7-clang9 ciflow/all, ciflow/cpu, ciflow/default, ciflow/linux, ciflow/trunk, ciflow/vulkan ✅ triggered
linux-xenial-cuda11.3-py3.7-gcc7 ciflow/all, ciflow/cuda, ciflow/default, ciflow/linux, ciflow/trunk ✅ triggered
linux-xenial-cuda11.3-py3.7-gcc7-bazel-test ciflow/all, ciflow/bazel, ciflow/cpu, ciflow/default, ciflow/linux, ciflow/trunk ✅ triggered
linux-xenial-py3-clang5-mobile-build ciflow/all, ciflow/default, ciflow/linux, ciflow/mobile, ciflow/trunk ✅ triggered
linux-xenial-py3-clang5-mobile-custom-build-static ciflow/all, ciflow/default, ciflow/linux, ciflow/mobile, ciflow/trunk ✅ triggered
linux-xenial-py3.7-clang7-asan ciflow/all, ciflow/cpu, ciflow/default, ciflow/linux, ciflow/sanitizers, ciflow/trunk ✅ triggered
linux-xenial-py3.7-clang7-onnx ciflow/all, ciflow/cpu, ciflow/default, ciflow/linux, ciflow/onnx, ciflow/trunk ✅ triggered
linux-xenial-py3.7-gcc5.4 ciflow/all, ciflow/cpu, ciflow/default, ciflow/linux, ciflow/trunk ✅ triggered
linux-xenial-py3.7-gcc5.4-mobile-lightweight-dispatch-build ciflow/all, ciflow/cpu, ciflow/default, ciflow/libtorch, ciflow/linux, ciflow/mobile, ciflow/trunk ✅ triggered
linux-xenial-py3.7-gcc7 ciflow/all, ciflow/cpu, ciflow/default, ciflow/linux, ciflow/trunk ✅ triggered
linux-xenial-py3.7-gcc7-no-ops ciflow/all, ciflow/cpu, ciflow/default, ciflow/linux, ciflow/trunk ✅ triggered
macos-arm64-binary-conda ciflow/binaries, ciflow/binaries_conda, ciflow/default ✅ triggered
macos-arm64-binary-wheel ciflow/binaries, ciflow/binaries_wheel, ciflow/default ✅ triggered
macos-binary-conda ciflow/binaries, ciflow/binaries_conda, ciflow/default ✅ triggered
macos-binary-libtorch-cxx11-abi ciflow/binaries, ciflow/binaries_libtorch, ciflow/default ✅ triggered
macos-binary-libtorch-pre-cxx11 ciflow/binaries, ciflow/binaries_libtorch, ciflow/default ✅ triggered
macos-binary-wheel ciflow/binaries, ciflow/binaries_wheel, ciflow/default ✅ triggered
pytorch-linux-xenial-py3-clang5-android-ndk-r19c-gradle-custom-build-single ciflow/all, ciflow/android, ciflow/cpu, ciflow/default, ciflow/linux, ciflow/trunk ✅ triggered
pytorch-linux-xenial-py3-clang5-android-ndk-r19c-gradle-custom-build-single-full-jit ciflow/all, ciflow/android, ciflow/cpu, ciflow/default, ciflow/linux, ciflow/trunk ✅ triggered
win-vs2019-cpu-py3 ciflow/all, ciflow/cpu, ciflow/default, ciflow/trunk, ciflow/win ✅ triggered
win-vs2019-cuda11.3-py3 ciflow/all, ciflow/cuda, ciflow/default, ciflow/trunk, ciflow/win ✅ triggered
windows-binary-conda ciflow/binaries, ciflow/binaries_conda, ciflow/default ✅ triggered
windows-binary-libtorch-debug ciflow/all, ciflow/binaries, ciflow/binaries_libtorch, ciflow/default, ciflow/trunk ✅ triggered
windows-binary-libtorch-release ciflow/all, ciflow/binaries, ciflow/binaries_libtorch, ciflow/default, ciflow/trunk ✅ triggered
windows-binary-wheel ciflow/all, ciflow/binaries, ciflow/binaries_wheel, ciflow/default, ciflow/trunk ✅ triggered
Skipped Workflows
caffe2-linux-xenial-py3.7-gcc5.4 ciflow/all, ciflow/cpu, ciflow/linux, ciflow/trunk 🚫 skipped
docker-builds ciflow/all, ciflow/trunk 🚫 skipped
ios-12-5-1-arm64 ciflow/all, ciflow/ios, ciflow/macos, ciflow/scheduled 🚫 skipped
ios-12-5-1-arm64-coreml ciflow/all, ciflow/ios, ciflow/macos, ciflow/scheduled 🚫 skipped
ios-12-5-1-arm64-custom-ops ciflow/all, ciflow/ios, ciflow/macos, ciflow/scheduled 🚫 skipped
ios-12-5-1-arm64-metal ciflow/all, ciflow/ios, ciflow/macos, ciflow/scheduled 🚫 skipped
ios-12-5-1-x86-64 ciflow/all, ciflow/ios, ciflow/macos, ciflow/trunk 🚫 skipped
ios-12-5-1-x86-64-coreml ciflow/all, ciflow/ios, ciflow/macos, ciflow/trunk 🚫 skipped
libtorch-linux-xenial-cuda10.2-py3.7-gcc7 ciflow/all, ciflow/cuda, ciflow/libtorch, ciflow/linux, ciflow/trunk 🚫 skipped
libtorch-linux-xenial-cuda11.3-py3.7-gcc7 ciflow/all, ciflow/cuda, ciflow/libtorch, ciflow/linux, ciflow/trunk 🚫 skipped
linux-bionic-cuda10.2-py3.9-gcc7 ciflow/all, ciflow/cuda, ciflow/linux, ciflow/slow, ciflow/trunk 🚫 skipped
linux-bionic-rocm4.5-py3.7-distributed ciflow/all, ciflow/linux, ciflow/rocm, ciflow/trunk 🚫 skipped
linux-docs-push ciflow/all, ciflow/cpu, ciflow/linux, ciflow/scheduled 🚫 skipped
linux-xenial-cuda11.3-py3.7-gcc7-no-ops ciflow/all, ciflow/cuda, ciflow/linux, ciflow/trunk 🚫 skipped
macos-10-15-py3-arm64 ciflow/all, ciflow/macos, ciflow/trunk 🚫 skipped
macos-10-15-py3-lite-interpreter-x86-64 ciflow/all, ciflow/macos, ciflow/trunk 🚫 skipped
macos-11-py3-x86-64 ciflow/all, ciflow/macos, ciflow/trunk 🚫 skipped
parallelnative-linux-xenial-py3.7-gcc5.4 ciflow/all, ciflow/cpu, ciflow/linux, ciflow/trunk 🚫 skipped
periodic-libtorch-linux-bionic-cuda11.5-py3.7-gcc7 ciflow/all, ciflow/cuda, ciflow/libtorch, ciflow/linux, ciflow/scheduled 🚫 skipped
periodic-linux-bionic-cuda11.5-py3.7-gcc7 ciflow/all, ciflow/cuda, ciflow/linux, ciflow/scheduled 🚫 skipped
periodic-linux-xenial-cuda10.2-py3-gcc7-slow-gradcheck ciflow/all, ciflow/cuda, ciflow/linux, ciflow/scheduled, ciflow/slow, ciflow/slow-gradcheck 🚫 skipped
periodic-linux-xenial-cuda11.3-py3.7-gcc7-debug ciflow/all, ciflow/cuda, ciflow/linux, ciflow/scheduled 🚫 skipped
periodic-win-vs2019-cuda11.5-py3 ciflow/all, ciflow/cuda, ciflow/scheduled, ciflow/win 🚫 skipped
pytorch-linux-xenial-py3-clang5-android-ndk-r19c-build ciflow/all, ciflow/android, ciflow/cpu, ciflow/linux, ciflow/trunk 🚫 skipped
pytorch-xla-linux-bionic-py3.7-clang8 ciflow/all, ciflow/cpu, ciflow/linux, ciflow/trunk, ciflow/xla 🚫 skipped

xta0 added a commit that referenced this pull request Mar 20, 2022
For xirp based segmentation models, we want to support enumerated input shapes. This allows us to support both landscape and portrait mode images without sacrificing the performance. P488118264

Differential Revision: [D34803184](https://our.internmc.facebook.com/intern/diff/D34803184/)

**NOTE FOR REVIEWERS**: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D34803184/)!

ghstack-source-id: 151736964
Pull Request resolved: #74441
facebook-github-bot pushed a commit that referenced this pull request Mar 21, 2022
Summary:
Pull Request resolved: #74441

For xirp based segmentation models, we want to support enumerated input shapes. This allows us to support both landscape and portrait mode images without sacrificing the performance. P488118264
ghstack-source-id: 151736964

Test Plan: `buck run coreml:xirp -- --model="/home/taox/xirp/xirp_20a.pt" --out="/home/taox/xirp/xirp_20a_coreml_enumerated.ptl"`

Reviewed By: mcr229

Differential Revision: D34803184

fbshipit-source-id: c462c0783846a1489ca7ce4d5a654aa6927c9c44
@facebook-github-bot facebook-github-bot deleted the gh/xta0/152/head branch March 25, 2022 14:18
shahofblah pushed a commit that referenced this pull request Mar 25, 2022
Summary:
Pull Request resolved: #74441

For xirp based segmentation models, we want to support enumerated input shapes. This allows us to support both landscape and portrait mode images without sacrificing the performance. P488118264
ghstack-source-id: 151736964

Test Plan: `buck run coreml:xirp -- --model="/home/taox/xirp/xirp_20a.pt" --out="/home/taox/xirp/xirp_20a_coreml_enumerated.ptl"`

Reviewed By: mcr229

Differential Revision: D34803184

fbshipit-source-id: c462c0783846a1489ca7ce4d5a654aa6927c9c44
(cherry picked from commit 67d418c)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants