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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 Defines a structure containing strides, bounds, and a pointer to tensor data.
+*/
+#pragma once
+
+#include <typeinfo>
+
+#include <cutlass/coord.h>
+#include <cutlass/cutlass.h>
+#include <cutlass/vector.h>
+
+namespace cutlass {
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+
+/// Structure modeling a pointer and stride into a tensor
+template <typename Storage_, int Rank_>
+class TensorRef {
+ public:
+  /// Data type of individual access
+  typedef Storage_ Storage;
+
+  /// Rank of tensor
+  static int const Rank = Rank_;
+
+ private:
+  //
+  // Data members
+  //
+
+  /// Pointer to storage element
+  Storage* ptr_;
+
+  /// Stride information
+  Coord<Rank> stride_;
+
+ public:
+  //
+  // Methods
+  //
+
+  /// Default ctor
+  CUTLASS_HOST_DEVICE
+  TensorRef() : ptr_(nullptr) {}
+
+  /// Constructs from a pointer, size, and stride
+  CUTLASS_HOST_DEVICE
+  TensorRef(Storage* ptr, Coord<Rank> stride) : ptr_(ptr), stride_(stride) {}
+
+  /// Updates the pointer, stride, and location within a TensorRef
+  CUTLASS_HOST_DEVICE
+  void reset(Storage* ptr = nullptr, Coord<Rank> stride = Coord<Rank>(0)) {
+    ptr_ = ptr;
+    stride_ = stride;
+  }
+
+  /// Conversion function
+  template <typename T>
+  TensorRef<T, Rank> convert() {
+    Coord<Rank> converted_stride;
+    for (int i = 0; i < Rank - 1; ++i) {
+      converted_stride[i] = stride_[i] * Extent<Storage>::kValue / Extent<T>::kValue;
+    }
+    converted_stride[Rank - 1] = stride_[Rank - 1];
+
+    return TensorRef<T, Rank>(reinterpret_cast<T*>(ptr_), converted_stride);
+  }
+
+  /// Returns true if the TensorRef may be safely accessed
+  CUTLASS_HOST_DEVICE
+  bool good() const { return ptr_ != nullptr; }
+
+  /// Returns the pointer to referenced data
+  CUTLASS_HOST_DEVICE
+  Storage* data() const { return ptr_; }
+
+  /// Returns the stride of the tensor
+  CUTLASS_HOST_DEVICE
+  Coord<Rank> const& stride() const { return stride_; }
+
+  /// Returns the stride of the tensor in the given dimension
+  CUTLASS_HOST_DEVICE
+  int const& stride(int dim) const { return stride_.at(dim); }
+
+  /// Returns the maximum stride element as the 'leading dimension'
+  CUTLASS_HOST_DEVICE
+  int leading_dim() const { return __NV_STD_MAX(stride_[1], stride_[2]); }
+
+  /// Computes the offset of an index from the origin of the tensor
+  CUTLASS_HOST_DEVICE
+  long long offset(Coord<Rank> const& coord) const {
+    return stride_.template dot<long long>(coord);
+  }
+
+  /// Returns a reference to the element at a given Coord
+  CUTLASS_HOST_DEVICE
+  Storage& at(Coord<Rank> const& coord) const { return ptr_[offset(coord)]; }
+
+  /// Element-wise accessor
+  Storage& operator[](Coord<Rank> const& coord) const { return at(coord); }
+
+  /// Returns a reference to the element at a given Coord
+  CUTLASS_HOST_DEVICE
+  Storage& at(int idx) const { return ptr_[idx]; }
+
+  /// Element-wise accessor
+  Storage& operator[](int idx) const { return at(idx); }
+
+  /// Adds an offset to the pointer
+  CUTLASS_HOST_DEVICE
+  TensorRef& advance(Coord<Rank> const& b) {
+    ptr_ += offset(b);
+    return *this;
+  }
+
+  /// Returns a TensorRef offset by a given amount
+  CUTLASS_HOST_DEVICE
+  TensorRef operator+(Coord<Rank> const& b) const { return TensorRef(ptr_ + offset(b), stride_); }
+
+  /// Returns a TensorRef offset by a given amount
+  CUTLASS_HOST_DEVICE
+  TensorRef operator-(Coord<Rank> const& b) const { return TensorRef(ptr_ - offset(b), stride_); }
+};
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+
+}  // namespace cutlass