adding the cutlass examples

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diff --git a/cutlass-example/cutlass/gemm/wmma_gemm_multiply_add.h b/cutlass-example/cutlass/gemm/wmma_gemm_multiply_add.h
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+/***************************************************************************************************
+ * Copyright (c) 2017-2018, NVIDIA CORPORATION.  All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without modification, are permitted
+ * provided that the following conditions are met:
+ *     * Redistributions of source code must retain the above copyright notice, this list of
+ *       conditions and the following disclaimer.
+ *     * Redistributions in binary form must reproduce the above copyright notice, this list of
+ *       conditions and the following disclaimer in the documentation and/or other materials
+ *       provided with the distribution.
+ *     * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
+ *       to endorse or promote products derived from this software without specific prior written
+ *       permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
+ * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
+ * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
+ * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
+ * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
+ * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ *
+ **************************************************************************************************/
+/*! \file
+    \brief Implements warp-level matrix multiply-accumulate operation using CUDA WMMA API.
+*/
+#pragma once
+
+#include <cutlass/wmma_matrix.h>
+#ifdef CUTLASS_USE_WMMA_API
+#include <cutlass/fragment.h>
+
+namespace cutlass {
+namespace gemm {
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+
+template <MatrixLayout::Kind kLayoutA_,
+          typename ScalarA_,
+          MatrixLayout::Kind kLayoutB_,
+          typename ScalarB_,
+          MatrixLayout::Kind kLayoutC_,
+          typename ScalarC_,
+          typename AccumulatorsPerWarp_,
+          typename InstructionShape_>
+struct WmmaGemmMultiplyAdd {
+  /// The shape of the instruction.
+  typedef InstructionShape_ InstructionShape;
+  /// The number of threads per warp. That's a dummy configuration.
+  typedef Shape<1, InstructionShape_::kH, InstructionShape_::kW> ThreadsPerWarp;
+  /// The dimensions.
+  typedef AccumulatorsPerWarp_ AccumulatorsPerWarp;
+  /// The type for A.
+  typedef ScalarA_ ScalarA;
+  /// The type for B.
+  typedef ScalarB_ ScalarB;
+  /// The type for C and D.
+  typedef ScalarC_ ScalarC;
+  /// The number of iterations.
+  typedef typename ShapeDiv<AccumulatorsPerWarp, InstructionShape>::Shape Iterations;
+
+  /// The element for A.
+  typedef WmmaMatrix<GemmOperand::kA, kLayoutA_, ScalarA, InstructionShape> ElementA;
+  /// The fragment for A.
+  typedef Fragment<ElementA, Iterations::kW> FragmentA;
+
+  /// The element for B.
+  typedef WmmaMatrix<GemmOperand::kB, kLayoutB_, ScalarB, InstructionShape> ElementB;
+  /// The fragment for B.
+  typedef Fragment<ElementB, Iterations::kH> FragmentB;
+
+  /// The element for C.
+  typedef WmmaMatrix<GemmOperand::kC, kLayoutC_, ScalarC, InstructionShape> ElementC;
+  /// The fragment for C.
+  typedef Fragment<ElementC, Iterations::kH * Iterations::kW> Accumulators;
+
+  /// Ctor.
+  CUTLASS_DEVICE WmmaGemmMultiplyAdd() {}
+
+  /// Multiply : d = a*b.
+  CUTLASS_DEVICE void multiply_add(FragmentA const& a,
+                                   FragmentB const& b,
+                                   Accumulators const& c,
+                                   Accumulators& d) {
+    for (int j = 0; j < Iterations::kH; ++j) {
+      for (int i = 0; i < Iterations::kW; ++i) {
+        // The input elements.
+        ElementA const& elt_a = a[i];
+        ElementB const& elt_b = b[j];
+        ElementC const& elt_c = c[j * Iterations::kW + i];
+
+        // The output element.
+        ElementC& elt_d = d[j * Iterations::kW + i];
+
+        // The wmma instruction.
+        nvcuda::wmma::mma_sync(elt_d, elt_a, elt_b, elt_c);
+      }
+    }
+  }
+};
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+
+}  // namespace gemm
+}  // namespace cutlass
+
+#endif  // defined CUTLASS_USE_WMMA_API