data: Cu10 CUTLASS headers from corex-samples

cat_files/default_mma_tensor_op.h

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+/***************************************************************************************************
+ * Copyright (c) 2017-2021, NVIDIA CORPORATION.  All rights reserved.
+ *
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+ * provided that the following conditions are met:
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+ *       conditions and the following disclaimer.
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+ *       permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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+ *
+ **************************************************************************************************/
+
+/***************************************************************************************************
+* Copyright (c) 2021 Iluvatar CoreX. All rights reserved.
+* Copyright Declaration: This software, including all of its code and documentation,
+* except for the third-party software it contains, is a copyrighted work of Shanghai Iluvatar CoreX
+* Semiconductor Co., Ltd. and its affiliates ("Iluvatar CoreX") in accordance with the PRC Copyright
+* Law and relevant international treaties, and all rights contained therein are enjoyed by Iluvatar
+* CoreX. No user of this software shall have any right, ownership or interest in this software and
+* any use of this software shall be in compliance with the terms and conditions of the End User
+* License Agreement.
+ **************************************************************************************************/
+
+/*! \file
+    \brief Default warp-level GEMM operators selected by data type, size, and layouts of operands.
+*/
+
+#pragma once
+
+#include "cutlass/cutlass.h"
+#include "cutlass/gemm/warp/mma_tensor_op.h"
+
+namespace cutlass {
+namespace gemm {
+namespace warp {
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+
+template <
+    /// Size of the Gemm problem - concept: gemm::GemmShape<>
+    typename WarpShape_,
+    /// Shape of one matrix production operation (concept: GemmShape)
+    typename InstructionShape_,
+    /// Data type of A elements
+    typename ElementA_,
+    /// Layout of A matrix (concept: MatrixLayout)
+    typename LayoutA_,
+    /// Data type of B elements
+    typename ElementB_,
+    /// Layout of B matrix (concept: MatrixLayout)
+    typename LayoutB_,
+    /// Element type of C matrix
+    typename ElementC_,
+    /// Layout of C matrix (concept: MatrixLayout)
+    typename LayoutC_,
+    /// Operator describing the tensor operation
+    typename Operator_ = arch::OpMultiplyAdd,
+    /// Number of partitions along K dimension
+    int PartitionsK = 1,
+    /// Store the accumulators in row major or column major.
+    bool AccumulatorsInRowMajor = true>
+struct DefaultMmaTensorOp;
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+
+/// Partial specialization for m-by-n-by-kgroup
+template <
+    /// Shape of one matrix production operation (concept: GemmShape)
+    typename WarpShape_,
+    /// Data type of A elements
+    typename ElementA,
+    /// Layout of A matrix (concept: MatrixLayout)
+    typename LayoutA,
+    /// Data type of B elements
+    typename ElementB,
+    /// Layout of B matrix (concept: MatrixLayout)
+    typename LayoutB,
+    /// Element type of C matrix
+    typename ElementC,
+    /// Layout of C matrix (concept: MatrixLayout)
+    typename LayoutC,
+    /// Number of partitions along K dimension
+    int PartitionsK,
+    /// Store the accumulators in row major or column major.
+    bool AccumulatorsInRowMajor>
+struct DefaultMmaTensorOp<
+    WarpShape_,
+    GemmShape<16, 16, 16>,
+    ElementA,
+    LayoutA,
+    ElementB,
+    LayoutB,
+    ElementC,
+    LayoutC,
+    arch::OpMultiplyAdd,
+    PartitionsK,
+    AccumulatorsInRowMajor> {
+
+  /// Warp shape
+  using Shape = WarpShape_;
+
+  using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
+      cutlass::arch::Mma<GemmShape<16, 16, 16>,
+                         64,
+                         ElementA,
+                         LayoutA,
+                         ElementB,
+                         LayoutB,
+                         ElementC,
+                         LayoutC,
+                         arch::OpMultiplyAdd>,
+      cutlass::MatrixShape<1, 1> >;
+
+  // Define the warp-level tensor op
+  using Type = cutlass::gemm::warp::MmaTensorOp<
+      WarpShape_,
+      ElementA,
+      LayoutA,
+      ElementB,
+      LayoutB,
+      ElementC,
+      LayoutC,
+      Policy,
+      PartitionsK,
+      AccumulatorsInRowMajor>;
+};
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+
+} // namespace warp
+} // namespace gemm
+} // namespace cutlass
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+