add files , build and run ok

library/include/ck/library/reference_tensor_operation/cpu/reference_moe_gemm2.hpp

@@ -0,0 +1,173 @@
+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
+
+#pragma once
+
+#include <iostream>
+#include <sstream>
+
+#include "ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp"
+#include "ck/tensor_operation/gpu/device/device_base.hpp"
+#include "ck/library/utility/host_tensor.hpp"
+
+namespace ck {
+namespace tensor_operation {
+namespace host {
+
+template <typename ADataType,
+          typename BDataType,
+          typename CDataType,
+          typename AccDataType,
+          typename AElementwiseOperation,
+          typename BElementwiseOperation,
+          typename CElementwiseOperation,
+          typename ComputeTypeA = CDataType,
+          typename ComputeTypeB = ComputeTypeA>
+struct ReferenceMoeGemm2 : public device::BaseOperator
+{
+    // Argument
+    struct Argument : public device::BaseArgument
+    {
+        Argument(const Tensor<ck::index_t>& sorted_token_ids,
+                 const Tensor<ck::index_t>& expert_ids,
+                 const index_t sorted_tile_size,
+                 const Tensor<ADataType>& a_m_k,
+                 const Tensor<BDataType>& b_e_n_k,
+                 Tensor<CDataType>& c_t_n,
+                 AElementwiseOperation a_element_op,
+                 BElementwiseOperation b_element_op,
+                 CElementwiseOperation c_element_op)
+            : sorted_token_ids_{sorted_token_ids},
+              expert_ids_{expert_ids},
+              sorted_tile_size_{sorted_tile_size},
+              a_m_k_{a_m_k},
+              b_e_n_k_{b_e_n_k},
+              c_t_n_{c_t_n},
+              a_element_op_{a_element_op},
+              b_element_op_{b_element_op},
+              c_element_op_{c_element_op}
+        {
+        }
+
+        const Tensor<ck::index_t>& expert_ids_;
+        const Tensor<ck::index_t>& sorted_token_ids_;
+        const Tensor<ADataType>& a_m_k_;
+        const Tensor<BDataType>& b_e_n_k_;
+        Tensor<CDataType>& c_t_n_;
+
+        AElementwiseOperation a_element_op_;
+        BElementwiseOperation b_element_op_;
+        CElementwiseOperation c_element_op_;
+        index_t sorted_tile_size_;
+    };
+
+    // Invoker
+    struct Invoker : public device::BaseInvoker
+    {
+        using Argument = ReferenceMoeGemm2::Argument;
+
+        float Run(const Argument& arg)
+        {
+            arg.c_t_n_.SetZero();
+            auto f_mk_kn_mn = [&](auto m, auto n) {
+                const int K = arg.a_m_k_.mDesc.GetLengths()[1];
+
+                AccDataType v_acc{0};
+                ComputeTypeA v_a{0};
+                ComputeTypeB v_b{0};
+                const int t = arg.sorted_token_ids_(m);
+                const int e = arg.expert_ids_(m / arg.sorted_tile_size_);
+                const int token_cnt = arg.a_m_k_.mDesc.GetLengths()[0];
+                if(t < token_cnt) {
+                    for(int k = 0; k < K; ++k)
+                    {
+                        // use PassThrough instead of ConvertBF16RTN for reference calculation
+                        if constexpr(is_same_v<AElementwiseOperation,
+                                            ck::tensor_operation::element_wise::ConvertBF16RTN>)
+                        {
+                            ck::tensor_operation::element_wise::PassThrough{}(v_a, arg.a_m_k_(m, k));
+                        }
+                        else
+                        {
+                            arg.a_element_op_(v_a, arg.a_m_k_(m, k));
+                        }
+                        // same for B matrix
+                        if constexpr(is_same_v<BElementwiseOperation,
+                                            ck::tensor_operation::element_wise::ConvertBF16RTN>)
+                        {
+                            ck::tensor_operation::element_wise::PassThrough{}(v_b, arg.b_e_n_k_(e, n, k));
+                        }
+                        else
+                        {
+                            arg.b_element_op_(v_b, arg.b_e_n_k_(e, n, k));
+                        }
+
+                        v_acc +=
+                            ck::type_convert<AccDataType>(v_a) * ck::type_convert<AccDataType>(v_b);
+                    }
+                }
+
+                CDataType v_c{0};
+
+                arg.c_element_op_(v_c, v_acc);
+
+                arg.c_t_n_(t, n) += v_c;
+            };
+            make_ParallelTensorFunctor(
+                f_mk_kn_mn, arg.c_t_n_.mDesc.GetLengths()[0], arg.c_t_n_.mDesc.GetLengths()[1])(
+                std::thread::hardware_concurrency());
+
+            return 0;
+        }
+
+        float Run(const device::BaseArgument* p_arg,
+                  const StreamConfig& /* stream_config */ = StreamConfig{}) override
+        {
+            return Run(*dynamic_cast<const Argument*>(p_arg));
+        }
+    };
+
+    static constexpr bool IsValidCompilationParameter()
+    {
+        // TODO: properly implement this check
+        return true;
+    }
+
+    bool IsSupportedArgument(const device::BaseArgument*) override { return true; }
+
+    static auto MakeArgument(const Tensor<ck::index_t>& sorted_token_ids,
+                             const Tensor<ck::index_t>& expert_ids,
+                             const index_t sorted_tile_size,
+                             const Tensor<ADataType>& a_m_k,
+                             const Tensor<BDataType>& b_e_n_k,
+                             Tensor<CDataType>& c_t_n,
+                             AElementwiseOperation a_element_op,
+                             BElementwiseOperation b_element_op,
+                             CElementwiseOperation c_element_op)
+    {
+        return Argument{sorted_token_ids, expert_ids, sorted_tile_size, a_m_k, b_e_n_k, c_t_n, a_element_op, b_element_op, c_element_op};
+    }
+
+    static auto MakeInvoker() { return Invoker{}; }
+
+    virtual std::unique_ptr<device::BaseInvoker> MakeInvokerPointer()
+    {
+        return std::make_unique<Invoker>(Invoker{});
+    }
+
+    std::string GetTypeString() const override
+    {
+        auto str = std::stringstream();
+
+        // clang-format off
+        str << "ReferenceMoeGemm2"
+            << std::endl;
+        // clang-format on
+
+        return str.str();
+    }
+};
+
+} // namespace host
+} // namespace tensor_operation
+} // namespace ck