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.
110 lines
3.4 KiB
C++
110 lines
3.4 KiB
C++
/***************************************************************************************************
|
|
* Copyright (c) 2017-2019, 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 math function
|
|
*/
|
|
|
|
#pragma once
|
|
|
|
#include <vector>
|
|
|
|
#include "cutlass/cutlass.h"
|
|
|
|
#include "enumerated_types.h"
|
|
|
|
namespace cutlass {
|
|
namespace profiler {
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Performance result object
|
|
struct PerformanceResult {
|
|
|
|
/// Index of problem
|
|
size_t problem_index;
|
|
|
|
/// Provider
|
|
Provider provider;
|
|
|
|
/// Outcome of test
|
|
Disposition disposition;
|
|
|
|
/// CUTLASS status result from kernels
|
|
Status status;
|
|
|
|
/// Operation object
|
|
std::string operation_name;
|
|
|
|
/// Stringified vector of argument values
|
|
std::vector<std::pair<std::string, std::string> > arguments;
|
|
|
|
/// Number of bytes read or written
|
|
int64_t bytes;
|
|
|
|
/// Number of DL flops performed by the math function
|
|
int64_t flops;
|
|
|
|
/// Average runtime in ms
|
|
double runtime;
|
|
|
|
//
|
|
// Members
|
|
//
|
|
|
|
/// Ctor
|
|
PerformanceResult():
|
|
problem_index(0),
|
|
provider(Provider::kInvalid),
|
|
disposition(Disposition::kNotRun),
|
|
status(Status::kInvalid),
|
|
bytes(0),
|
|
flops(0),
|
|
runtime(0)
|
|
{ }
|
|
|
|
/// Returns true if the runtime is valid
|
|
bool good() const {
|
|
return runtime > 0;
|
|
}
|
|
|
|
/// Math throughput in units of GFLOP/s
|
|
double gflops_per_sec() const {
|
|
return double(flops) / runtime / 1.0e6;
|
|
}
|
|
|
|
/// memory bandwidth in units of GiB/s
|
|
double gbytes_per_sec() const {
|
|
return double(bytes) / double(1 << 30) / runtime * 1000.0;
|
|
}
|
|
|
|
};
|
|
|
|
using PerformanceResultVector = std::vector<PerformanceResult>;
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
} // namespace profiler
|
|
} // namespace cutlass
|