66d9cddc83
* New updates. * Minor profiler updates Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
302 lines
10 KiB
C++
302 lines
10 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/*! \file
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\brief Defines a structure containing strides and a pointer to tensor data.
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TensorView is derived from TensorRef and contributes bounds to the tensor's index space. Thus,
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it is a complete mathematical object and may be used in tensor algorithms. It is decoupled from
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data storage and is therefore lightweight and may be embedded in larger tensor objects or
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memory structures.
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See cutlass/tensor_ref.h for more details about the mapping of the logical tensor index space to
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linear memory.
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*/
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#pragma once
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#if !defined(__CUDACC_RTC__)
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#include <cmath>
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#endif
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#include "cutlass/cutlass.h"
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#include "cutlass/tensor_ref_planar_complex.h"
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namespace cutlass {
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////////////////////////////////////////////////////////////////////////////////////////////////////
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template <
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/// Data type of element stored within tensor
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typename Element_,
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/// Maps a Coord<Rank_> in the logical tensor index space to the internal n-D array
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typename Layout_
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>
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class TensorViewPlanarComplex : public TensorRefPlanarComplex<Element_, Layout_> {
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public:
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/// Base tensor reference
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using Base = cutlass::TensorRefPlanarComplex<Element_, Layout_>;
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/// Mapping function from logical coordinate to internal n-D array
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using Layout = Layout_;
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/// TensorRef pointing to constant memory
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using ConstTensorRef = typename Base::ConstTensorRef;
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/// Underlying TensorRef type
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using TensorRef = Base;
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/// Data type of individual access
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using Element = Element_;
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/// Reference type to an element
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using Reference = Element &;
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/// Logical rank of tensor index space
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static int const kRank = Layout::kRank;
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/// Index type
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using Index = typename Layout::Index;
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/// Long index used for pointer offsets
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using LongIndex = typename Layout::LongIndex;
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/// Coordinate in logical tensor space
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using TensorCoord = typename Layout::TensorCoord;
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/// Coordinate in storage n-D array
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using Stride = typename Layout::Stride;
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/// TensorView pointing to constant memory
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using ConstTensorView = TensorViewPlanarComplex<
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typename platform::remove_const<Element>::type const,
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Layout>;
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/// TensorView pointing to non-constant memory
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using NonConstTensorView = TensorViewPlanarComplex<
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typename platform::remove_const<Element>::type,
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Layout>;
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/// Require at least rank=1. Mathematically, a rank=0 tensor would be considered to be a
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/// scalar, but degenerate cases such as these are difficult to accommodate without
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/// extensive C++ metaprogramming or support for zero-length arrays.
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static_assert(kRank > 0, "Cannot define a zero-rank TensorRef");
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private:
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/// View extent
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TensorCoord extent_;
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public:
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//
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// Methods
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//
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/// Constructs a TensorView object
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CUTLASS_HOST_DEVICE
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TensorViewPlanarComplex(TensorCoord const &extent = TensorCoord()): extent_(extent) {
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}
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/// Constructs a TensorView object
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CUTLASS_HOST_DEVICE
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TensorViewPlanarComplex(
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Element *ptr, ///< pointer to start of tensor
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Layout const &layout, ///< layout object containing stride and mapping function
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LongIndex imaginary_stride, ///< stride between real and imaginary part
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TensorCoord const &extent ///< size of the view in logical coordinates
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):
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Base(ptr, layout, imaginary_stride), extent_(extent) {
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}
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/// Constructs a TensorView object
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CUTLASS_HOST_DEVICE
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TensorViewPlanarComplex(
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TensorRef const &ref, ///< pointer and layout object referencing a tensor
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TensorCoord const &extent ///< logical size of tensor
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):
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Base(ref), extent_(extent) {
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}
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/// Converting constructor from TensorRef to non-constant data.
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CUTLASS_HOST_DEVICE
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TensorViewPlanarComplex(
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NonConstTensorView const &view ///< TensorView to non-const data
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):
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Base(view), extent_(view.extent_) { }
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/// Updates the pointer and layout object
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CUTLASS_HOST_DEVICE
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void reset(Element* ptr, Layout const &layout, LongIndex imaginary_stride, TensorCoord size) {
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Base::reset(ptr, layout, imaginary_stride);
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this->resize(extent_);
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}
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/// Changes the size of the view without affecting pointer or layout
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CUTLASS_HOST_DEVICE
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void resize(TensorCoord extent) {
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this->extent_ = extent;
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}
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/// Returns the extent of the view (the size along each logical dimension).
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CUTLASS_HOST_DEVICE
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TensorCoord const& extent() const { return extent_; }
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/// Returns the extent along a particular logical dimension.
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CUTLASS_HOST_DEVICE
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Index extent(int dim) const { return extent_.at(dim); }
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/// Determines whether a location is within a tensor
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CUTLASS_HOST_DEVICE
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bool contains(TensorCoord const& coord) const {
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CUTLASS_PRAGMA_UNROLL
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for (int dim = 0; dim < kRank; ++dim) {
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if (!(coord[dim] >= 0 && coord[dim] < extent(dim))) {
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return false;
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}
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}
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return true;
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}
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/// Returns a TensorRef pointing to the first element of the tensor.
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CUTLASS_HOST_DEVICE
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Base ref() const {
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return Base(this->data(), this->layout(), this->imaginary_stride());
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}
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/// Returns a TensorRef pointing to the first element of the tensor.
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CUTLASS_HOST_DEVICE
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ConstTensorRef const_ref() const {
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return ConstTensorRef(this->data(), this->layout());
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}
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/// Returns a TensorView to const data
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CUTLASS_HOST_DEVICE
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ConstTensorView const_view() const {
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return ConstTensorView(const_ref(), extent_);
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}
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/// Returns a Tensor_view given location and size quantities
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CUTLASS_HOST_DEVICE
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TensorViewPlanarComplex subview(
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TensorCoord extent, ///< extent of the resulting view
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TensorCoord const& location = TensorCoord() ///< resulting view's origin within the old view
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) const {
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TensorViewPlanarComplex result(this->ref(), extent.clamp(extent_ - location));
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result.add_coord_offset(location);
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return result;
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}
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/// Returns the number of scalar elements needed to store tensor.
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CUTLASS_HOST_DEVICE
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size_t capacity() const {
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return Base::layout().capacity(extent_);
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}
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/// Returns a TensorView offset by a given amount
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CUTLASS_HOST_DEVICE
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TensorViewPlanarComplex operator+(
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TensorCoord const& b ///< offset in the logical coordinate space of the tensor
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) const {
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TensorViewPlanarComplex result(*this);
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result.add_pointer_offset(this->offset(b));
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return result;
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}
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/// Returns a TensorRef offset by a given amount
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CUTLASS_HOST_DEVICE
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TensorViewPlanarComplex& operator+=(
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TensorCoord const& b ///< offset in the logical coordinate space of the tensor
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) {
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this->add_pointer_offset(this->offset(b));
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return *this;
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}
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/// Returns a TensorRef offset by a given amount
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CUTLASS_HOST_DEVICE
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TensorViewPlanarComplex operator-(
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TensorCoord const& b ///< offset in the logical coordinate space of the tensor
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) const {
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TensorRef result(*this);
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result.add_pointer_offset(-this->offset(b));
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return result;
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}
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/// Returns a TensorRef offset by a given amount
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CUTLASS_HOST_DEVICE
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TensorViewPlanarComplex& operator-=(
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TensorCoord const& b ///< offset in the logical coordinate space of the tensor
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) {
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this->add_pointer_offset(-this->offset(b));
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return *this;
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}
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/// TensorRef to real-valued tensor
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CUTLASS_HOST_DEVICE
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cutlass::TensorView<Element, Layout> view_real() const {
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return cutlass::TensorView<Element, Layout>(this->data(), this->layout(), extent_);
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}
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/// TensorRef to real-valued tensor
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CUTLASS_HOST_DEVICE
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cutlass::TensorView<Element, Layout> view_imag() const {
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return cutlass::TensorView<Element, Layout>(this->imaginary_data(), this->layout(), extent_);
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}
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};
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////////////////////////////////////////////////////////////////////////////////////////////////////
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/// Constructs a TensorRef, deducing types from arguments.
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template <
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typename Element,
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typename Layout
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>
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CUTLASS_HOST_DEVICE TensorViewPlanarComplex<Element, Layout> make_TensorViewPlanarComplex(
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Element *ptr,
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Layout const &layout,
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typename Layout::LongIndex imaginary_stride,
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typename Layout::TensorCoord const &extent) {
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return TensorViewPlanarComplex<Element, Layout>(ptr, layout, imaginary_stride, extent);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace cutlass
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