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diff --git a/cutlass-example/cutlass/tensor_ref.h b/cutlass-example/cutlass/tensor_ref.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 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