Improve Reduction kernel api (#152)

* Add ThreadwiseReduction functor as per-thread reduction api * Using ThreadwiseReduce api and some change in using PartitionedBlockwiseReduction api to simply the kernels * Add comments and remove useless declarations in the kernels * Tiny updates
2026-05-02 04:31:25 +00:00 · 2022-04-05 09:31:44 +08:00
parent 646878162b
commit 82c8b9f8ee
6 changed files with 348 additions and 229 deletions
--- a/include/ck/tensor_operation/gpu/thread/reduction_functions_threadwise.hpp
+++ b/include/ck/tensor_operation/gpu/thread/reduction_functions_threadwise.hpp
@@ -0,0 +1,122 @@
+/*******************************************************************************
+ *
+ * MIT License
+ *
+ * Copyright (c) 2020 Advanced Micro Devices, Inc.
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ *
+ *******************************************************************************/
+#ifndef CK_REDUCTION_FUNCTIONS_THREADWISE_HPP
+#define CK_REDUCTION_FUNCTIONS_THREADWISE_HPP
+
+#include "reduction_functions_accumulate.hpp"
+
+namespace ck {
+
+// Assume
+//  1) SrcDesc is known at compile-time
+//  2) DstDesc is known at compile-time
+//  3) SrcBuffer is static buffer
+//  4) DstBuffer is static buffer
+template <typename AccDataType,
+          typename SrcThreadDesc_M_K,
+          typename DstThreadDesc_M,
+          typename OpReduce,
+          bool PropagateNan>
+struct ThreadwiseReduction
+{
+    static constexpr auto src_thread_desc_m_k = SrcThreadDesc_M_K{};
+    static constexpr auto dst_thread_desc_m   = DstThreadDesc_M{};
+
+    static constexpr auto src_length_m = src_thread_desc_m_k.GetLength(Number<0>{});
+    static constexpr auto src_length_k = src_thread_desc_m_k.GetLength(Number<1>{});
+    static constexpr auto dst_length_m = dst_thread_desc_m.GetLength(Number<0>{});
+
+    static_assert(src_length_m == dst_length_m, "lengths of source and dst buffer must match!");
+
+    using Accumulation = detail::AccumulateWithNanCheck<PropagateNan, OpReduce, AccDataType>;
+
+    template <typename SrcBufferType, typename DstBufferType>
+    __device__ static void Reduce(const SrcBufferType& src_buf, DstBufferType& dst_buf)
+    {
+        static_for<0, src_length_m, 1>{}([&](auto iM) {
+            constexpr index_t out_offset = dst_thread_desc_m.CalculateOffset(make_tuple(iM));
+
+            static_for<0, src_length_k, 1>{}([&](auto iK) {
+                constexpr auto offset = src_thread_desc_m_k.CalculateOffset(make_tuple(iM, iK));
+
+                Accumulation::Calculate(dst_buf(Number<out_offset>{}), src_buf[Number<offset>{}]);
+            });
+        });
+    };
+};
+
+// Assume
+//  1) SrcDesc is known at compile-time
+//  2) DstDesc is known at compile-time
+//  3) SrcBuffer is static buffer
+//  4) DstBuffer is static buffer
+template <typename AccDataType,
+          typename IndexDataType,
+          typename SrcThreadDesc_M_K,
+          typename DstThreadDesc_M,
+          typename OpReduce,
+          bool PropagateNan>
+struct ThreadwiseReductionWithIndex
+{
+    static constexpr auto src_thread_desc_m_k = SrcThreadDesc_M_K{};
+    static constexpr auto dst_thread_desc_m   = DstThreadDesc_M{};
+
+    static constexpr auto src_length_m = src_thread_desc_m_k.GetLength(Number<0>{});
+    static constexpr auto src_length_k = src_thread_desc_m_k.GetLength(Number<1>{});
+    static constexpr auto dst_length_m = dst_thread_desc_m.GetLength(Number<0>{});
+
+    static_assert(src_length_m == dst_length_m, "lengths of source and dst buffer must match!");
+
+    using Accumulation =
+        detail::AccumulateWithIndexAndNanCheck<PropagateNan, OpReduce, AccDataType, IndexDataType>;
+
+    template <typename SrcValueBufferType,
+              typename SrcIndexBufferType,
+              typename DstValueBufferType,
+              typename DstIndexBufferType>
+    __device__ static void Reduce(const SrcValueBufferType& src_val_buf,
+                                  const SrcIndexBufferType& src_idx_buf,
+                                  DstValueBufferType& dst_val_buf,
+                                  DstIndexBufferType& dst_idx_buf)
+    {
+        static_for<0, src_length_m, 1>{}([&](auto iM) {
+            constexpr index_t out_offset = dst_thread_desc_m.CalculateOffset(make_tuple(iM));
+
+            static_for<0, src_length_k, 1>{}([&](auto iK) {
+                constexpr auto offset = src_thread_desc_m_k.CalculateOffset(make_tuple(iM, iK));
+
+                Accumulation::Calculate(dst_val_buf(Number<out_offset>{}),
+                                        src_val_buf[Number<offset>{}],
+                                        dst_idx_buf(Number<out_offset>{}),
+                                        src_idx_buf[Number<offset>{}]);
+            });
+        });
+    };
+};
+
+}; // end of namespace ck
+
+#endif