* Add CSV-driven convolution test pipeline
- Add test_grouped_convnd_fwd_dataset_xdl.cpp with CSV reader functionality
- Add complete dataset generation toolchain in test_data/
- Add Jenkins integration with RUN_CONV_COMPREHENSIVE_DATASET parameter
- Ready for comprehensive convolution testing with scalable datasets
* Update convolution test dataset generation pipeline
* add 2d, 3d dataset csv files
* Remove CSV test dataset files from repository
* Update generate_test_dataset.sh
* Fix channel division for MIOpen to CK conversion
* Remove unnecessary test files
* Fix clang-format-18 formatting issues
* TEST: Enable comprehensive dataset tests by default
* Fix test_data path in Jenkins - build runs from build directory
* Add Python dependencies and debug output for CSV generation
* Remove Python package installation - not needed
* Add better debugging for generate_test_dataset.sh execution
* Fix Jenkinsfile syntax error - escape dollar signs
* Add PyTorch to Docker image for convolution test dataset generation
- Install PyTorch CPU version for lightweight model execution
- Fixes Jenkins CI failures where CSV files were empty due to missing PyTorch
- Model generation scripts require PyTorch to extract convolution parameters
* Add debugging to understand Jenkins directory structure and CSV file status
- Print current working directory
- List CSV files in test_data directory
- Show line counts of CSV files
- Will help diagnose why tests fail in Jenkins
* Fix clang-format-18 formatting issues
- Applied clang-format-18 to test file
- Fixed brace placement and whitespace issues
* Add detailed debugging for CSV dataset investigation
- Check generated_datasets directory contents
- List all CSV files with line counts
- Show first 5 lines of main CSV file
- Applied clang-format-18 formatting
- This will help identify why CSV files are empty in Jenkins
* keep testing add pytorch installation in shell script
* Use virtual environment for PyTorch installation
- Jenkins user doesn't have permission to write to /.local
- Create virtual environment in current directory (./pytorch_venv)
- Install PyTorch in virtual environment to avoid permission issues
- Use PYTHON_CMD variable to run all Python scripts with correct interpreter
- Virtual environment will be reused if it already exists
* Remove debug code and reduce verbose logging in Jenkins
- Remove bash -x and debug commands from Jenkinsfile execute_args
- Remove all debug system() calls and getcwd from C++ test file
- Remove unistd.h include that was only needed for getcwd
- Remove debug print in CSV parser
- Add set +x to generate_test_dataset.sh to disable command echo
- Redirect Python script stdout to /dev/null for cleaner output
This makes Jenkins logs much cleaner while still showing progress messages.
* install gpu torch
* Clean up and optimize comprehensive dataset test pipeline
- Reorder Jenkinsfile execution: build -> generate data -> run test
- Remove commented-out debug code from generate_test_dataset.sh
- Ensure all files end with proper newline character (POSIX compliance)
- Keep useful status messages while removing development debug prints
- Set MAX_ITERATIONS=0 for unlimited test generation in production
* Add configuration modes to reduce test execution time
- Add --mode option (half/full) to generate_model_configs.py
- half mode (default): ~278 configs (224 2D + 54 3D) -> ~1,058 total tests
- full mode: ~807 configs (672 2D + 135 3D) -> ~3,093 total tests
- Update generate_test_dataset.sh to use CONFIG_MODE environment variable
- Keeps all model types but reduces parameter combinations intelligently
- Fixes Jenkins timeout issue (was running 3,669 tests taking 17+ hours)
- Default half mode should complete in ~4-5 hours instead of 17+ hours
* Add small mode for quick testing of comprehensive dataset
* jenkins pipeline test done
* jenkins test done
* Trigger CI build
* remove test comment and update data generation option as half
---------
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>
[ROCm/composable_kernel commit: 19d5327c45]
* Support 64 bit indexing
* Add new grouped conv fwd kernel for large tensors
* Add instances large tensor
* Fixes for transform conv to gemm
* Fixes
* fixes
* Remove not needed instances
* examples fixes
* Remove not need ds arrays
* Fix tests
* Add 2GB check in gridwise dl
* Fixes
[ROCm/composable_kernel commit: 4ec5c52a0c]
* Support access per groups and filter3x3 in grouped conv fwd
* Fixes for large cases
* Fixes for large tensors
[ROCm/composable_kernel commit: 82e8a78a3f]
* parse examples inside the add_example_executable function
* fix the example 64 cmake file
* add xdl flag to the gemm_bias_softmax_gemm_permute example
* add filtering of tests based on architecture type
* enable test_grouped_gemm for gfx9 only
* enable test_transpose only for gfx9
* only linnk test_transpose if it gets built
* split the gemm instances by architectures
* split gemm_bilinear,grouped_conv_bwd_weight instances by targets
* split instances by architecture
* split grouped_conv instances by architecture
* fix clang format
* fix the if-else logic in group_conv headers
* small fix for grouped convolution instances
* fix the grouped conv bwd weight dl instances
* fix client examples
* only enable client examples 3 and 4 on gfx9
* set the gfx9 macro
* make sure the architecture macros are set by cmake
* use separate set of xdl/wmma flags for host code
* sinmplify the main cmake file
* add conv_fwd_bf8 instance declaration
[ROCm/composable_kernel commit: ae57e5938e]
* Introduce multiABD api and deprecate multiD
* Replace multiD with multiABD
* Mark structures as deprecated
* Change doxygen deprecated to note to avoid warnings
[ROCm/composable_kernel commit: f2398f612d]
* Support multi AB for grouped conv fwd xdl
* Add instances
* Add client example
* Add example
* Add interface test
* Minor fixes
Minor fixes
Minor fixes
* Comment fixes
* Fixes
* Reference fix
* Test xdl fixes
* Improve multi_ab interface test
[ROCm/composable_kernel commit: 49e52bb357]
* Re-structure ckProfiler source files
* Rename profiler.cpp to main.cpp
* Modularize ckProfiler operations
* Add description for profiler operations
* Use longer name to avoid name collision
* Use macro to delay expansion
* Use std::move() to avoid object copying
* Prohibit users from calling dtor
* Use macro to eliminate redundant code
* Make friend function hidden
* Add missing include directive <iostream>
* Fix wrong include directives
* Remove int8 from batchnorm-forward instances since it is not needed for forward training and could fail test
Co-authored-by: Qianfeng Zhang <Qianfeng.Zhang@amd.com>
[ROCm/composable_kernel commit: 8784a72e23]
