onnx-mlir/.circleci/config.yml

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version: 2
jobs:
build:
docker:
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- image: circleci/python
Enable e2e tests (#29) * Sync with latest MLIR. * Enable ONNX backend tests as a means to test ONNF lowering end-to-end. * Install ONNX using quiet mode. * Remove debug comments. * Install ONNX from third_party/onnx. * Check python version and fix pip command for installing ONNX. * Using --user install option to prevent permission denied. * Remove unused imports. * Try using stock ONNX pip package as there are more tests in them. * Pip got stuck building wheels, try sudo. * Use verbose install to debug. * Invalidate cache to build LLVM tools. * Fix mlir installation script location. * Debug to locate ONNF. * Sanity check. * Check out ONNF code first. * Use verbose LIT output. * 1. Update documentation to always use verbose LIT. 2. Update krnl ops to reflect new affine map attribute syntax. * See if conda exists * Install ONNX by manually cloning the repo. * Install cmake first. * Using sudo priviledge when installing. * Limit build parallelism. * Limit parallelism. * Larger memory. * Install onnx package with pip. * Build MLIR tools. * Invalidate cache. * Compile model.so with -fPIC. * Remove module dump to get concise debug output. * Print command before executing. * Use quiet install mode to reduce logging. * Use -relocation-model=pic to generate position independent code. * 1. Remove MAKEFLAGS because now buildbot has enough memory. 2. Run DocCheck as a last step. * 1. Add verbose mode for backtend test. * When dumping to LLVM bitcode, do not dump module IR, but print a message indicating that bitcode has been written to disk. * Do not pass MakeFlags to CMake. * Add more explaination for posible reasons of failing to identify tests.
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resource_class: medium+
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steps:
- run:
name: Installing GCC, CMake, Ninja, Protobuf
command: sudo apt-get update && sudo apt-get install -y gcc g++ cmake ninja-build protobuf-compiler
Enable e2e tests (#29) * Sync with latest MLIR. * Enable ONNX backend tests as a means to test ONNF lowering end-to-end. * Install ONNX using quiet mode. * Remove debug comments. * Install ONNX from third_party/onnx. * Check python version and fix pip command for installing ONNX. * Using --user install option to prevent permission denied. * Remove unused imports. * Try using stock ONNX pip package as there are more tests in them. * Pip got stuck building wheels, try sudo. * Use verbose install to debug. * Invalidate cache to build LLVM tools. * Fix mlir installation script location. * Debug to locate ONNF. * Sanity check. * Check out ONNF code first. * Use verbose LIT output. * 1. Update documentation to always use verbose LIT. 2. Update krnl ops to reflect new affine map attribute syntax. * See if conda exists * Install ONNX by manually cloning the repo. * Install cmake first. * Using sudo priviledge when installing. * Limit build parallelism. * Limit parallelism. * Larger memory. * Install onnx package with pip. * Build MLIR tools. * Invalidate cache. * Compile model.so with -fPIC. * Remove module dump to get concise debug output. * Print command before executing. * Use quiet install mode to reduce logging. * Use -relocation-model=pic to generate position independent code. * 1. Remove MAKEFLAGS because now buildbot has enough memory. 2. Run DocCheck as a last step. * 1. Add verbose mode for backtend test. * When dumping to LLVM bitcode, do not dump module IR, but print a message indicating that bitcode has been written to disk. * Do not pass MakeFlags to CMake. * Add more explaination for posible reasons of failing to identify tests.
2020-01-21 01:30:08 +08:00
- checkout:
path: onnx-mlir
Enable e2e tests (#29) * Sync with latest MLIR. * Enable ONNX backend tests as a means to test ONNF lowering end-to-end. * Install ONNX using quiet mode. * Remove debug comments. * Install ONNX from third_party/onnx. * Check python version and fix pip command for installing ONNX. * Using --user install option to prevent permission denied. * Remove unused imports. * Try using stock ONNX pip package as there are more tests in them. * Pip got stuck building wheels, try sudo. * Use verbose install to debug. * Invalidate cache to build LLVM tools. * Fix mlir installation script location. * Debug to locate ONNF. * Sanity check. * Check out ONNF code first. * Use verbose LIT output. * 1. Update documentation to always use verbose LIT. 2. Update krnl ops to reflect new affine map attribute syntax. * See if conda exists * Install ONNX by manually cloning the repo. * Install cmake first. * Using sudo priviledge when installing. * Limit build parallelism. * Limit parallelism. * Larger memory. * Install onnx package with pip. * Build MLIR tools. * Invalidate cache. * Compile model.so with -fPIC. * Remove module dump to get concise debug output. * Print command before executing. * Use quiet install mode to reduce logging. * Use -relocation-model=pic to generate position independent code. * 1. Remove MAKEFLAGS because now buildbot has enough memory. 2. Run DocCheck as a last step. * 1. Add verbose mode for backtend test. * When dumping to LLVM bitcode, do not dump module IR, but print a message indicating that bitcode has been written to disk. * Do not pass MakeFlags to CMake. * Add more explaination for posible reasons of failing to identify tests.
2020-01-21 01:30:08 +08:00
- run:
name: Pull Submodules
command: |
cd onnx-mlir
Enable e2e tests (#29) * Sync with latest MLIR. * Enable ONNX backend tests as a means to test ONNF lowering end-to-end. * Install ONNX using quiet mode. * Remove debug comments. * Install ONNX from third_party/onnx. * Check python version and fix pip command for installing ONNX. * Using --user install option to prevent permission denied. * Remove unused imports. * Try using stock ONNX pip package as there are more tests in them. * Pip got stuck building wheels, try sudo. * Use verbose install to debug. * Invalidate cache to build LLVM tools. * Fix mlir installation script location. * Debug to locate ONNF. * Sanity check. * Check out ONNF code first. * Use verbose LIT output. * 1. Update documentation to always use verbose LIT. 2. Update krnl ops to reflect new affine map attribute syntax. * See if conda exists * Install ONNX by manually cloning the repo. * Install cmake first. * Using sudo priviledge when installing. * Limit build parallelism. * Limit parallelism. * Larger memory. * Install onnx package with pip. * Build MLIR tools. * Invalidate cache. * Compile model.so with -fPIC. * Remove module dump to get concise debug output. * Print command before executing. * Use quiet install mode to reduce logging. * Use -relocation-model=pic to generate position independent code. * 1. Remove MAKEFLAGS because now buildbot has enough memory. 2. Run DocCheck as a last step. * 1. Add verbose mode for backtend test. * When dumping to LLVM bitcode, do not dump module IR, but print a message indicating that bitcode has been written to disk. * Do not pass MakeFlags to CMake. * Add more explaination for posible reasons of failing to identify tests.
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git submodule update --init --recursive
# Use cached mlir installation if possible.
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- restore_cache:
key: V20-LLVM-PROJECT-{{ arch }}
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- run:
name: Install MLIR
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command: |
# Check whether cache restoration succeeds by checking whether
# mlir-opt executable exists.
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if [ ! -f llvm-project/build/bin/mlir-opt ]; then
export MAKEFLAGS=-j4
source onnx-mlir/utils/install-mlir.sh
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fi
- save_cache:
key: V20-LLVM-PROJECT-{{ arch }}
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paths:
- llvm-project
[RFC] Doc-check utility. (#12) * 1. Implement doc-check utility. * 1. Move ONNF installation script to a standalone script file. * 1. Modify build script to install llvm-project next to ONNF. The build script used to install llvm-project inside ONNF, which didn't make sense. * 1. Check out code to ONNF directory. * 1. Pass path parameter correctly. * 1. Debugging buildbot. * 1. Remove debug code. * 1. Update installation instructions in README.md. 2. Enforce consistency with scripts used in testing using doc-check. * 1. Fix error with respect to syntax to build multiple CMake targets. * 1. Move doc-check to doc_check. 2. Remove directive_config in top-level driver. * 1. Build onnf and check-mlir-lit separately because only CMake 3.15+ supports building multiple targets in one cmake --build run. * 1. Use new env variables to locate LLVM-Project. * 1. Documentation nits. * 1. Prettify buildbot scripts. * 1. Fix build script error. * 1. Support exclude_dirs in DocCheck. 2. Add README for DocCheck. * 1. Mark python3 interpreter as required. 2. Use imported interpreter target. * 1. Automatically deduce doc file extension in DocCheckCtx. 2. Rename ctx.open -> ctx.open_doc since it should only be used to open doc file. 3. Always read line in parser, instead of reading lines in driver and then passing it to parser.py. * 1. Rename parser -> doc_parser due to name conflict with python built-in module. 2. Explose doc_check module directory first before importing; otherwise if the doc_check utility is invoked by other script, importing will not work correctly. * 1. Keep renaming parser -> doc_parser. 2. Explicitly define a default configuration parser that parses the configuration into a python dictionary. * 1. Add test for doc-check. 2. Exclude doc-check tests from project dock-check because base directory is different. * 1. Raise ValueError if directive configuration fails to parse. 2. Format code. * Shorten test case documentation. Show example of using same-as-file directive, check with DocCheck. * 1. Shorten test case documentation. 2. More documentation, check documentation with DocCheck. * 1. Add copyright notice. * 1. Make documentation clearer. 2. Prettify build-scripts. * 1. Provide more documentation. 2. Fix some non-compliance with pep8 recommendations. Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-01-10 07:35:52 +08:00
- run:
name: Install ONNX MLIR
command: source onnx-mlir/utils/install-onnx-mlir.sh
Enable e2e tests (#29) * Sync with latest MLIR. * Enable ONNX backend tests as a means to test ONNF lowering end-to-end. * Install ONNX using quiet mode. * Remove debug comments. * Install ONNX from third_party/onnx. * Check python version and fix pip command for installing ONNX. * Using --user install option to prevent permission denied. * Remove unused imports. * Try using stock ONNX pip package as there are more tests in them. * Pip got stuck building wheels, try sudo. * Use verbose install to debug. * Invalidate cache to build LLVM tools. * Fix mlir installation script location. * Debug to locate ONNF. * Sanity check. * Check out ONNF code first. * Use verbose LIT output. * 1. Update documentation to always use verbose LIT. 2. Update krnl ops to reflect new affine map attribute syntax. * See if conda exists * Install ONNX by manually cloning the repo. * Install cmake first. * Using sudo priviledge when installing. * Limit build parallelism. * Limit parallelism. * Larger memory. * Install onnx package with pip. * Build MLIR tools. * Invalidate cache. * Compile model.so with -fPIC. * Remove module dump to get concise debug output. * Print command before executing. * Use quiet install mode to reduce logging. * Use -relocation-model=pic to generate position independent code. * 1. Remove MAKEFLAGS because now buildbot has enough memory. 2. Run DocCheck as a last step. * 1. Add verbose mode for backtend test. * When dumping to LLVM bitcode, do not dump module IR, but print a message indicating that bitcode has been written to disk. * Do not pass MakeFlags to CMake. * Add more explaination for posible reasons of failing to identify tests.
2020-01-21 01:30:08 +08:00
- run:
name: Run End-To-End Tests
command: |
sudo pip install -q -e ./onnx-mlir/third_party/onnx
cd onnx-mlir/build
Compiling Models with Large Constant Arrays (#146) * PoC works. * MNist works. * Clean up. * Fix test. * Make Linux work. * Use consistent symbol name. * Fix variable name. * Fix array addr access. * Bug fix. * Bug fix. * install before running e2e tests. * Fix build config. * Use sudo when installing. * Make embeddedDataLoader position independent. * Enable ResNet50. * Format code. * Format MainUtil. * Try not using sudo to install. * Supply runtime dir via environment variable. * Dump problematic operation. * Dump entire function. * Debug. * Dump input. * Dump constant op. * Debug. * Debug. * Debug. * Print to stderr. * take care of endianness. * Use endianness-aware execution session. * Fix ZLinux error. * Include warning when desired output endianness can't be deduced. * Remove debug code. * Remove debug code in shape inference. * Support binary-decoder for testing constants packing. * Support filename, move-to-file, elision-threshold configurations in constant packing pass for easy testing. * Add lit test, fix lit test type mismatch. * Add more consts packing tests. * Ensure intermediate files are properly cleaned up. * No need for constant elimination. * Link with threading libraries. * Remove debug code. * Format code. * More tests. * test nit. * Remove debug code. * Reduce hard-coded constants. * Use temporary and unique working directory for hosting model parameters. * Test if it works. * Try to find objcopy. * Rename symbols using objcopy. * Move sanitized name to linux section. * Use verbose mode for debugging. * Disambiguate pass constructor. * Fix symbol name. * Use Command API to build and execute commands. * Move linux to use Command API. * Fix reset args. * Execute redefine sym. * Format code. * Do not use verbose mode for CircleCI. * Remove debug code. * Prettify code, add comments. * getSegmentData -> getEmbeddedConstPool * vector -> std::vector. * Make sure we properly clean up intermediate files. * Fix test cases. * Add runtime directory. * Trigger rebuild. * [Merge with master] fix debug script. * Diable affine fusion pass for now. * Support generic fallback const packing mechanism. * Remove debug code. * Handle the case where objcopy is not available. * Fix Windows missing types. * Support int64. * Copy packed constant to a local directory for non-Linux/Mac platforms. * Nit: remove debug code, refactor const pack preprocessing out as a separate function. * Cannot make preprocessConstPack a standalone function because file removers are stack-allocated, and they are deallocated prematurely when function stack gets popped, deleteing intermediate files too early. * Don't require executable filename. * Import ONNX data types directly. * Fix LIT test. * Bug fix, use moved string value. * Remove redundant filenames. * Fix CMake script. * Embed endianness information as a symbol, and check during runtime. * More comments, update lit tests. * Fix lit test on BE machine. * Copyright notices.
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RUNTIME_DIR=$(pwd)/lib cmake --build . --target check-onnx-backend
- run:
name: Run Unit Tests
command: |
cd onnx-mlir/build
# Need to include the bin directory in $PATH,
# otherwise CTest fails to find the test executables.
RUNTIME_DIR=$(pwd)/lib make test -j$(nproc)
[RFC] Doc-check utility. (#12) * 1. Implement doc-check utility. * 1. Move ONNF installation script to a standalone script file. * 1. Modify build script to install llvm-project next to ONNF. The build script used to install llvm-project inside ONNF, which didn't make sense. * 1. Check out code to ONNF directory. * 1. Pass path parameter correctly. * 1. Debugging buildbot. * 1. Remove debug code. * 1. Update installation instructions in README.md. 2. Enforce consistency with scripts used in testing using doc-check. * 1. Fix error with respect to syntax to build multiple CMake targets. * 1. Move doc-check to doc_check. 2. Remove directive_config in top-level driver. * 1. Build onnf and check-mlir-lit separately because only CMake 3.15+ supports building multiple targets in one cmake --build run. * 1. Use new env variables to locate LLVM-Project. * 1. Documentation nits. * 1. Prettify buildbot scripts. * 1. Fix build script error. * 1. Support exclude_dirs in DocCheck. 2. Add README for DocCheck. * 1. Mark python3 interpreter as required. 2. Use imported interpreter target. * 1. Automatically deduce doc file extension in DocCheckCtx. 2. Rename ctx.open -> ctx.open_doc since it should only be used to open doc file. 3. Always read line in parser, instead of reading lines in driver and then passing it to parser.py. * 1. Rename parser -> doc_parser due to name conflict with python built-in module. 2. Explose doc_check module directory first before importing; otherwise if the doc_check utility is invoked by other script, importing will not work correctly. * 1. Keep renaming parser -> doc_parser. 2. Explicitly define a default configuration parser that parses the configuration into a python dictionary. * 1. Add test for doc-check. 2. Exclude doc-check tests from project dock-check because base directory is different. * 1. Raise ValueError if directive configuration fails to parse. 2. Format code. * Shorten test case documentation. Show example of using same-as-file directive, check with DocCheck. * 1. Shorten test case documentation. 2. More documentation, check documentation with DocCheck. * 1. Add copyright notice. * 1. Make documentation clearer. 2. Prettify build-scripts. * 1. Provide more documentation. 2. Fix some non-compliance with pep8 recommendations. Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
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- run:
name: Run DocCheck
command: cd onnx-mlir/build && cmake --build . --target check-doc
- run:
name: Ensure tablegen documentation is up-to-date
command: |
cd onnx-mlir/build
cmake --build . --target onnx-mlir-doc
# Check whether dialect documentation is up-to-date.
diff docs/Dialects ../docs/Dialects
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- run:
name: Print the Current Time
command: date