13 Commits

Author	SHA1	Message	Date
Antonio Sánchez	46e9cdb7fe	Clang-format tests, examples, libraries, benchmarks, etc.	2023-12-05 21:22:55 +00:00
Sean McBride	d70b4864d9	issue #2581: review and cleanup of compiler version checks	2023-01-17 18:58:34 +00:00
Antonio Sanchez	f47472603b	Add missing header for GPU tests.	2023-01-09 11:21:13 -08:00
Antonio Sánchez	262194f12c	Fix a bunch of minor build and test issues.	2023-01-06 16:37:26 +00:00
Erik Schultheis	421cbf0866	Replace Eigen type metaprogramming with corresponding std types and make use of alias templates	2022-03-16 16:43:40 +00:00
Erik Schultheis	970640519b	Cleanup	2022-01-21 01:48:59 +00:00
Rohit Santhanam	27a78e4f96	Some serialization API changes were made in commit...	2022-01-05 16:18:45 +00:00
Lingzhu Xiang	7244a74ab0	Add bounds checking to Eigen serializer	2022-01-03 17:00:24 +08:00
sciencewhiz	4b6036e276	fix various typos	2021-09-22 16:15:06 +00:00
Rohit Santhanam	a751225845	Minor fix for compilation error on HIP.	2021-09-12 14:06:58 +00:00
Antonio Sanchez	2e31570c16	Fix tuple_test after gpu_test_helper update. ... Duplicating the namespace `tuple_impl` caused a conflict with the `arch/GPU/Tuple.h` definitions for the `tuple_test`. We can't just use `Eigen::internal` either, since there exists a different `Eigen::internal::get`. Renaming the namespace to `test_detail` fixes the issue.	2021-09-11 20:24:42 -07:00
Antonio Sanchez	d06c639667	Fix unused variable warning and unnecessessary gpuFree.	2021-09-11 20:02:22 -07:00
Antonio Sanchez	bf66137efc	New GPU test utilities. ... This introduces new functions: ``` // returns kernel(args...) running on the CPU. Eigen::run_on_cpu(Kernel kernel, Args&&... args); // returns kernel(args...) running on the GPU. Eigen::run_on_gpu(Kernel kernel, Args&&... args); Eigen::run_on_gpu_with_hint(size_t buffer_capacity_hint, Kernel kernel, Args&&... args); // returns kernel(args...) running on the GPU if using // a GPU compiler, or CPU otherwise. Eigen::run(Kernel kernel, Args&&... args); Eigen::run_with_hint(size_t buffer_capacity_hint, Kernel kernel, Args&&... args); ``` Running on the GPU is accomplished by: - Serializing the kernel inputs on the CPU - Transferring the inputs to the GPU - Passing the kernel and serialized inputs to a GPU kernel - Deserializing the inputs on the GPU - Running `kernel(inputs...)` on the GPU - Serializing all output parameters and the return value - Transferring the serialized outputs back to the CPU - Deserializing the outputs and return value on the CPU - Returning the deserialized return value All inputs must be serializable (currently POD types, `Eigen::Matrix` and `Eigen::Array`). The kernel must also be POD (though usually contains no actual data). Tested on CUDA 9.1, 10.2, 11.3, with g++-6, g++-8, g++-10 respectively. This MR depends on !622, !623, !624.	2021-09-10 14:22:50 -07:00