Alexander PivovarovandHaicheng Wu
7e370c9637
Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
291 lines
10 KiB
C++
291 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 operations for reduction operation in CUTLASS Library.
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*/
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#pragma once
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#include <iostream>
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#include "cutlass/cutlass.h"
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#include "cutlass/epilogue/thread/linear_combination.h"
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#include "cutlass/epilogue/thread/linear_combination_clamp.h"
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#include "cutlass/reduction/thread/reduction_operators.h"
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#include "cutlass/reduction/device/reduce_split_k.h"
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#include "cutlass/library/library.h"
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#include "library_internal.h"
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#include "cutlass/core_io.h"
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///////////////////////////////////////////////////////////////////////////////////////////////////
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namespace cutlass {
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namespace library {
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///////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename Operator_>
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class ReductionOperation : public Operation {
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public:
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using Operator = Operator_;
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using ElementWorkspace = typename Operator::ElementWorkspace;
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using ElementAccumulator = typename Operator::ElementAccumulator;
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using ElementOutput = typename Operator::ElementOutput;
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using ElementCompute = typename Operator::OutputOp::ElementCompute;
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using OperatorArguments = typename Operator::Arguments;
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protected:
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///
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ReductionDescription description_;
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public:
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/// Constructor
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ReductionOperation(char const *name = "unknown_reduction") {
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description_.name = name;
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description_.provider = Provider::kCUTLASS;
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description_.kind = OperationKind::kReduction;
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description_.tile_description.threadblock_shape = make_Coord(Operator::Shape::kRow, Operator::Shape::kColumn, 1);
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description_.tile_description.math_instruction.instruction_shape = make_Coord(1, 1, 1);
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description_.tile_description.math_instruction.element_accumulator = NumericTypeMap<ElementAccumulator>::kId;
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description_.tile_description.math_instruction.opcode_class = OpcodeClassID::kSimt;
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description_.tile_description.math_instruction.math_operation = MathOperationID::kAdd;
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description_.tile_description.minimum_compute_capability = 50;
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description_.tile_description.maximum_compute_capability = 1024;
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description_.element_workspace = NumericTypeMap<ElementWorkspace>::kId;
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description_.element_output = NumericTypeMap<ElementOutput>::kId;
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description_.element_epilogue = NumericTypeMap<ElementCompute>::kId;
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}
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/// Returns the description of the Reduction operation
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virtual OperationDescription const & description() const {
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return description_;
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}
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protected:
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/// Constructs the arguments structure given the configuration and arguments
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static Status construct_arguments_(
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OperatorArguments &operator_args,
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ReductionConfiguration const *configuration) {
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operator_args.problem_size = configuration->problem_size;
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operator_args.partitions = configuration->partitions;
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operator_args.partition_stride = configuration->partition_stride;
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operator_args.workspace = {nullptr, int(configuration->ldw)};
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operator_args.source = {nullptr, int(configuration->lds)};
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operator_args.destination = {nullptr, int(configuration->ldd)};
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return Status::kSuccess;
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}
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/// Constructs the arguments structure given the configuration and arguments
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static Status update_arguments_(
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OperatorArguments &operator_args,
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ReductionArguments const *arguments) {
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if (arguments->pointer_mode == ScalarPointerMode::kHost) {
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typename Operator::OutputOp::Params params(
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*static_cast<ElementCompute const *>(arguments->alpha),
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*static_cast<ElementCompute const *>(arguments->beta)
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);
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operator_args.output = params;
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}
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else if (arguments->pointer_mode == ScalarPointerMode::kDevice){
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typename Operator::OutputOp::Params params(
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static_cast<ElementCompute const *>(arguments->alpha),
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static_cast<ElementCompute const *>(arguments->beta)
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);
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operator_args.output = params;
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}
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else {
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return Status::kErrorInvalidProblem;
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}
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operator_args.workspace.reset(static_cast<ElementWorkspace *>(const_cast<void *>(arguments->workspace)));
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operator_args.source.reset(static_cast<ElementOutput *>(const_cast<void *>(arguments->source)));
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operator_args.destination.reset(static_cast<ElementOutput *>(const_cast<void *>(arguments->destination)));
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return Status::kSuccess;
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}
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public:
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/// Returns success if the operation can proceed
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virtual Status can_implement(
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void const *configuration_ptr,
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void const *arguments_ptr) const {
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ReductionConfiguration const *configuration =
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static_cast<ReductionConfiguration const *>(configuration_ptr);
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ReductionArguments const *arguments =
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static_cast<ReductionArguments const *>(arguments_ptr);
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OperatorArguments args;
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Status status = construct_arguments_(args, configuration);
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if (status != Status::kSuccess) {
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return status;
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}
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status = update_arguments_(args, arguments);
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if (status != Status::kSuccess) {
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return status;
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}
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return Operator::can_implement(args);
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}
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/// Gets the host-side workspace
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virtual uint64_t get_host_workspace_size(
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void const *configuration) const {
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return sizeof(Operator);
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}
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/// Gets the device-side workspace
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virtual uint64_t get_device_workspace_size(
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void const *configuration_ptr,
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void const *arguments_ptr = nullptr) const {
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OperatorArguments args;
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Status status = construct_arguments_(
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args,
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static_cast<ReductionConfiguration const *>(configuration_ptr));
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if (status != Status::kSuccess) {
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return 0;
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}
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return Operator::get_workspace_size(args);
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}
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/// Initializes the workspace
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virtual Status initialize(
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void const *configuration_ptr,
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void *host_workspace,
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void *device_workspace,
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cudaStream_t stream = nullptr) const {
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OperatorArguments args;
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Status status = construct_arguments_(
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args,
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static_cast<ReductionConfiguration const *>(configuration_ptr));
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if (status != Status::kSuccess) {
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return status;
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}
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Operator *op = new (host_workspace) Operator;
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//std::cout << "initialize library::Reduction" << std::endl;
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//print_operator_args(args);
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return op->initialize(args, device_workspace, stream);
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}
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/// Runs the kernel
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virtual Status run(
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void const *arguments_ptr,
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void *host_workspace,
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void *device_workspace = nullptr,
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cudaStream_t stream = nullptr) const {
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OperatorArguments args;
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Status status = update_arguments_(
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args,
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static_cast<ReductionArguments const *>(arguments_ptr));
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if (status != Status::kSuccess) {
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return status;
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}
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Operator *op = static_cast<Operator *>(host_workspace);
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status = op->update(args, device_workspace);
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if (status != Status::kSuccess) {
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return status;
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}
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//std::cout << "run library::Reduction" << std::endl;
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//print_operator_args(args);
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return op->run(stream);
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}
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/// Call print_operator_args from the Reduction::initialize()
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// to dump arguments passed on to cutlass operator for debugging
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void print_operator_args(OperatorArguments &operator_args) const {
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std::cout << "Reduction::OperatorArguments" << std::endl
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<< " problem_size: "
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<< operator_args.problem_size << std::endl
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<< " partitions: "
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<< operator_args.partitions << std::endl
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<< " partition_stride: "
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<< operator_args.partition_stride << std::endl
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<< " epilogue (alpha, beta): "
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<< operator_args.output.alpha << ", "
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<< operator_args.output.beta << std::endl
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<< " workspace (ptr, stride): "
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<< operator_args.workspace.data() << ", "
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<< operator_args.workspace.stride(0) << std::endl
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<< " source (ptr, stride): "
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<< operator_args.source.data() << ", "
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<< operator_args.source.stride(0) << std::endl
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<< " destination (ptr, stride): "
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<< operator_args.destination.data() << ", "
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<< operator_args.destination.stride(0) << std::endl;
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}
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};
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///////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace library
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} // namespace cutlass
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///////////////////////////////////////////////////////////////////////////////////////////////////
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