Add grouped b2b GEMM (PaddlePaddle#970)

Author: jackkosaian

examples/13_two_tensor_op_fusion/CMakeLists.txt

@@ -64,6 +64,7 @@ endforeach()
 foreach(FUSION_GEMM_EXAMPLE
   fused_two_gemms_f16_sm75_rf
   fused_two_gemms_f16_sm75_shmem
+  fused_two_gemms_grouped_f16_sm80_rf
   fused_two_gemms_f16_sm80_rf
   fused_two_gemms_f16_sm80_shmem
   fused_two_gemms_s8_sm75_rf

examples/13_two_tensor_op_fusion/b2b_grouped_gemm_run.h

@@ -185,96 +185,7 @@ class B2bGemm {
     SmemAccumulator
   >::B2bGemmKernel;
 
-  /// Argument structure
-  struct Arguments {
-
-    //
-    // Data members
-    //
-
-    GemmUniversalMode mode;
-    GemmCoord problem_size_0;
-    GemmCoord problem_size_1;
-    TensorRef<ElementA const, LayoutA> ref_A0;
-    TensorRef<ElementB const, LayoutB> ref_B0;
-    TensorRef<ElementC const, LayoutC> ref_C0;
-    TensorRef<ElementScaleBias const, LayoutScaleBias> ref_Scale0;
-    TensorRef<ElementScaleBias const, LayoutScaleBias> ref_Bias0;
-    TensorRef<ElementB const, LayoutB> ref_B1;
-    TensorRef<ElementC const, LayoutC> ref_C1;
-    TensorRef<ElementC, LayoutC> ref_D1;
-    int64_t batch_stride_A0;
-    int64_t batch_stride_B0;
-    int64_t batch_stride_B1;
-    int64_t batch_stride_C1;
-    int64_t batch_stride_D1;
-    int64_t batch_stride_Bias0;
-    int64_t batch_stride_Scale0;
-    typename EpilogueOutputOp0::Params epilogue0;
-    typename EpilogueOutputOp1::Params epilogue1;
-    int batch_count;
-
-    //
-    // Methods
-    //
-
-    /// Default ctor
-    CUTLASS_HOST_DEVICE
-    Arguments(): mode(mode), problem_size_0(0, 0, 0), problem_size_1(0, 0, 0), batch_count(1) {
-
-    }
-
-    /// Constructs an Arguments structure
-    CUTLASS_HOST_DEVICE
-    Arguments(
-      GemmUniversalMode mode_,
-      GemmCoord problem_size_0_,
-      GemmCoord problem_size_1_,
-      TensorRef<ElementA const, LayoutA> ref_A0_,
-      TensorRef<ElementB const, LayoutB> ref_B0_,
-      TensorRef<ElementC const, LayoutC> ref_C0_,
-      TensorRef<ElementScaleBias const, LayoutScaleBias> ref_Scale0_,
-      TensorRef<ElementScaleBias const, LayoutScaleBias> ref_Bias0_,
-      TensorRef<ElementB const, LayoutB> ref_B1_,
-      TensorRef<ElementC const, LayoutC> ref_C1_,
-      TensorRef<ElementC, LayoutC> ref_D1_,
-      int64_t batch_stride_A0_,
-      int64_t batch_stride_B0_,
-      int64_t batch_stride_B1_,
-      int64_t batch_stride_C1_,
-      int64_t batch_stride_D1_,
-      int64_t batch_stride_Bias0_,
-      int64_t batch_stride_Scale0_,
-      typename EpilogueOutputOp0::Params epilogue0_ =
-        typename EpilogueOutputOp0::Params(),
-      typename EpilogueOutputOp1::Params epilogue1_ =
-        typename EpilogueOutputOp1::Params(),
-      int batch_count_ = 1
-    ):
-      mode(mode_),
-      problem_size_0(problem_size_0_),
-      problem_size_1(problem_size_1_),
-      ref_A0(ref_A0_),
-      ref_B0(ref_B0_),
-      ref_C0(ref_C0_),
-      ref_Scale0(ref_Scale0_),
-      ref_Bias0(ref_Bias0_),
-      ref_B1(ref_B1_),
-      ref_C1(ref_C1_),
-      ref_D1(ref_D1_),
-      batch_stride_A0(batch_stride_A0_),
-      batch_stride_B0(batch_stride_B0_),
-      batch_stride_B1(batch_stride_B1_),
-      batch_stride_C1(batch_stride_C1_),
-      batch_stride_D1(batch_stride_D1_),
-      batch_stride_Bias0(batch_stride_Bias0_),
-      batch_stride_Scale0(batch_stride_Scale0_),
-      epilogue0(epilogue0_),
-      epilogue1(epilogue1_),
-      batch_count(batch_count_) {
-
-    }
-  };
+  using Arguments = typename B2bGemmKernel::Arguments;
 
 private: