fb335f6a5f
CUTLASS 2.0 Substantially refactored for - Better performance, particularly for native Turing Tensor Cores - Robust and durable templates spanning the design space - Encapsulated functionality embodying modern C++11 programming techniques - Optimized containers and data types for efficient, generic, portable device code Updates to: - Quick start guide - Documentation - Utilities - CUTLASS Profiler Native Turing Tensor Cores - Efficient GEMM kernels targeting Turing Tensor Cores - Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands Coverage of existing CUTLASS functionality: - GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs - Volta Tensor Cores through native mma.sync and through WMMA API - Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions - Batched GEMM operations - Complex-valued GEMMs Note: this commit and all that follow require a host compiler supporting C++11 or greater.
128 lines
4.8 KiB
C++
128 lines
4.8 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
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* provided that the following conditions are met:
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* * Redistributions of source code must retain the above copyright notice, this list of
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* conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright notice, this list of
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* conditions and the following disclaimer in the documentation and/or other materials
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* provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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* to endorse or promote products derived from this software without specific prior written
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* permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, OR TOR (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 CUTLASS layout visualization tool
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*/
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#include <map>
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#include <iostream>
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#include <iomanip>
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#include <memory>
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#include "options.h"
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#include "register_layout.h"
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/////////////////////////////////////////////////////////////////////////////////////////////////
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std::map<std::string, std::unique_ptr<VisualizeLayoutBase> > layouts;
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/////////////////////////////////////////////////////////////////////////////////////////////////
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void print_usage(std::ostream &out) {
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out << "03_visualize_layout <layout> [options]"
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<< "\n\n"
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<< " Layouts:\n";
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for (auto const & layout : layouts) {
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out << " " << layout.first << std::string(46 - layout.first.size(), ' ');
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layout.second->print_help(out);
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out << "\n";
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}
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out << "\n";
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Options::print_usage(out);
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out << "\nExamples:\n\n"
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<< "$ 03_visualize_layout RowMajor --extent=16,16\n"
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<< "$ 03_visualize_layout \"ColumnMajorInterleaved<4>\" --extent=32,8 "
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"--output-shape=16 --vectorize=4\n"
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<< "$ 03_visualize_layout \"TensorOpMultiplicand<4,64>\" "
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"--extent=64,64 --vectorize=32 --output-shape=256,4\n"
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<< "$ 03_visualize_layout \"TensorOpMultiplicand<4,128>\" "
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"--extent=128,32 --vectorize=32 --output-shape=256,4\n"
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<< "$ 03_visualize_layout \"TensorOpMultiplicand<8,32>\" "
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"--extent=32,64 --vectorize=16 --output-shape=128,4\n"
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<< "$ 03_visualize_layout \"TensorOpMultiplicand<8,64>\" "
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"--extent=64,32 --vectorize=16 --output-shape=128,4\n"
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<< "$ 03_visualize_layout \"TensorOpMultiplicand<16,32>\" "
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"--extent=32,32 --vectorize=8 --output-shape=64,4\n"
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<< "$ 03_visualize_layout \"TensorOpMultiplicand<16,64>\" "
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"--extent=64,16 --vectorize=8 --output-shape=64,4\n"
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<< "$ 03_visualize_layout \"VoltaTensorOpMultiplicandCrosswise<16,32>\" "
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"--extent=32,64 --vectorize=4 --output-shape=64,4\n"
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<< "$ 03_visualize_layout \"VotlaTensorOpMultiplicandCongruous<16>\" "
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"--extent=64,32 --vectorize=8 --output-shape=64,4\n";
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out << std::endl;
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}
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Entry point
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int main(int argc, char const *arg[]) {
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RegisterLayouts(layouts);
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if (argc == 1 || (std::string(arg[0]) == "-h" || std::string(arg[1]) == "--help")) {
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print_usage(std::cout);
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return 0;
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}
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// parse command line, skipping layout name
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cutlass::CommandLine cmd_line(argc - 1, arg + 1);
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Options options(cmd_line);
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if (options.help) {
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print_usage(std::cout);
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return 0;
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}
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if (!options.good) {
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return -1;
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}
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std::string layout_name = arg[1];
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auto layout_it = layouts.find(layout_name);
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if (layout_it == layouts.end()) {
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std::cerr << "Layout '" << layout_name << "' not supported." << std::endl;
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return -1;
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}
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bool passed = layout_it->second->visualize(options);
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if (!passed) {
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return -1;
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}
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layout_it->second->print_csv(std::cout);
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return 0;
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}
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/////////////////////////////////////////////////////////////////////////////////////////////////
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