mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-04 05:31:24 +00:00
7fa892e63e
* Update to the batchnorm-forward API and base class * Fix leeked header including in gridwise_set_buffer_value.hpp * Add kernels and device file for batchnorm-forward welford supporting both blockwise and multi-block reduction * Update to the batchnorm-forward example to use the new batchnorm-forward device interface * Change the batchnorm-forward reference to use sequential welford method * Change to assign the workspace into four buffers in the host layer * Use GetReduceCountPerThread functor to replace the initial count for Blockwise and Multiblock welford * Tiny correction and remove un-used file under example/34_batchnorm * Renaming in the kernel arguments * Explicitly use ck::math::sqrt in batchnorm-forward kernels * Add some comments to some kernels * Tiny fix * Generalize the data types in reference_batchnorm_forward_nhwc_c * Use ck::ignore to mark un-used parameters * Move GetReduceCountPerThread functor codes from kernel to device * Remove some un-used codes in device_batchnorm_forward_impl.hpp * Tiny fix in batchnorm_forward example * Move GetReduceCountPerThread() to welford_helper.hpp * Use seperate data type for Scale and Bias * Renaming in device Op * Tiny fix in forward example * Updata to batchnorm-infer (type spliting, renaming) * Add time and bandwidth measurement to the batchnorm-forward example * Add support of elementwise operation for batchnorm forward output * Reduce object copying by passing object as reference type * Tiny change for performance * Updates for performance again * Some Renamings * Add GetActualVariance template parameter for ThreadwiseWelfordMerge * Tiny update in reference batchnorm forward nhwc/c * Move batchnorm multiblock kernel files to grid/batchnorm_multiblock sub-directory * Fuse mean and bias in the normalization calculation Co-authored-by: root <root@dc-smc-18.amd.com> Co-authored-by: rocking5566 <ChunYu.Lai@amd.com>