OPEN: GitHub-based CI/CD Flow #4
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Minor: - Fix banshee.patch - Fix python dependenciy
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LGTM, thanks for the effort! |
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This release contains major architectural changes, new platform support, enhanced simulation workflows, floating-point kernel support, training infrastructure for CCT models, memory allocation strategies, and documentation improvements. After merging this into `main`, the release process will proceed with: - Pushing a Git tag for the release after merging this PR - Creating a GitHub release with the prepared tag. Note: Since the release tag references the Docker container tagged with the release tag (`ghcr.io/pulp-platform/deeploy:v0.2.0`), the CI will initially fail. The Deeploy Docker image must be built after the release PR is merged and the CI restarted. ### List of Pull Requests - Prepare v0.2.0 release [#102](#102) - Add Luka as Code Owner [#101](#101) - Fix CI, Docker Files, and Documentation Workflow [#100](#100) - Chimera Platform Integration [#96](#96) - Add Tutorial and Refactor README [#97](#97) - Reduce Mean Float Template [#92](#92) - Reshape Memory Freeing and Generic Float GEMM Fixes [#91](#91) - Prepare for Release and Separate Dependencies [#90](#90) - Fix input offsets calculation [#89](#89) - Move PULP SDK to main branch/fork [#88](#88) - Finite Lifetime for IO Tensors [#51](#51) - Improved Memory Visualization and Multi-Layer Tiling Profiling [#56](#56) - Fix Linting in CI and Reformat C Files [#86](#86) - Fix Broken CMake Flow For pulp-sdk [#87](#87) - Refactor Changelog For Release [#85](#85) - ARM Docker Container and Minor Bug Fix [#84](#84) - Added Kernel for Generic Float DW Conv2D [#63](#63) - Autoselect Self-Hosted Runners if the Action is on Upstream [#81](#81) - TEST_RECENT linking on MacOS [#78](#78) - Add RV32IMF Picolibc support for Siracusa platform [#66](#66) - Improve Documentation and VSCode Support [#76](#76) - Debug Print Topology Pass and Code Transformation [#75](#75) - Find all subdirectories of Deeploy when installing with pip install [#70](#70) - Add milestone issue template [#71](#71) - Bunch of fixes and changes [#58](#58) - Add SoftHier platform [#65](#65) - rv32imf_xpulpv2 ISA support for Siracusa platform [#64](#64) - One LLVM To Compile Them All [#60](#60) - One GVSoC to Simulate Them All [#59](#59) - Add Support for CCT Last Layer Training with Embedding Dim 8-128 [#55](#55) - Add CCT Classifier Training Support [#53](#53) - L3 Bugs: DMA Struct Datatype and Maxpool Margin Error [#45](#45) - DeepQuant Quantized Linear Support [#54](#54) - Implemented Dequant Layer for Generic and Siracusa [#52](#52) - Infinite Lifetime Buffers Considered in Tiling & Memory Allocation (+ Visualization) [#44](#44) - Implemented Quant Layer for Generic and Siracusa [#49](#49) - Increase maximal Mchan DMA transfer sizes from 64KiB to 128KiB [#47](#47) - Add MiniMalloc and Decouple Memory Allocation and Tiling [#40](#40) - Float CCT Bugs on L3 [#37](#37) - Memory Allocation Strategies and Visualization [#36](#36) - Add CODEOWNERS [#42](#42) - Add Tiling Support to All CCT Kernels and Fix CCT Operators on Siracusa Platform for L2 [#35](#35) - Add Fp gemm and Softmax for Snitch platform [#31](#31) - Add Float Kernels for CCT [#29](#29) - documentation deployment [#34](#34) - main.c Float Cast Bugs [#28](#28) - Add Float GEMM on PULP with Tiling [#26](#26) - Add Float Support & Float GEMM for Generic [#25](#25) - GVSOC support for the Snitch Cluster platform [#23](#23) - Snitch Cluster Tiling Support [#22](#22) - Snitch support integration [#14](#14) - Update bibtex citation [#20](#20) - the PR template location, bump min python to 3.10, change install command [#17](#17) - Add pre-commit for python formatting [#15](#15) - FP integration (v2) [#12](#12) - shell for sequential tests of Generic, Cortex, and Mempool platforms [#11](#11) - Add issue templates [#10](#10) - Minor CI and Readme Improvements [#8](#8) - Fix GHCR Link for Docker Build [#7](#7) - neureka's ccache id [#6](#6) - GitHub-based CI/CD Flow [#4](#4) - Generic Softmax Kernel [#2](#2) - Port GitLab CI [#1](#1)
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Changelog
This PR adds a GitHub-based Continuous Integration and Deployment to Deeploy. With this flow, we propagate a Docker container carrying Deeploy's dependencies. This allows new users to simply pull the Docker container and run Deeploy out-of-the-box. Moreover, the CI tests are run into this container.
On a personal GitHub account, one has access to 40 concurrent jobs, and the runtime of the CI is 14min. On the organization repo, we have only 20 concurrent jobs, so the runtime is 29min.
Added
CI.ymlworkflow containing the CI tests.BuildDocker.ymlworkflow that builds and pushes to GHCR the docker containing Deeploy's dependencies.Changed
main.ymltoGitLabCI.yml.Fixed
Makefile.onnx-graphsurgeonto0.3.20, using the latest version results in errors for theICCT_ITA_8ONNX graph.banshee.patchby freezing the version ofunicode-widthto0.1.13. Since a few days, the default version is0.1.14, while it was0.1.13earlier. The version0.1.14is working only for Rust version above or equal to1.66.