cutlass/include/cutlass/cutlass.h
ANIKET SHIVAM d572cc1aab
CUTLASS 3.1 (#915)
Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
2023-04-14 23:19:34 -04:00

231 lines
8.6 KiB
C++

/***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. 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.
*
* 3. Neither the name of the copyright holder 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 THE COPYRIGHT HOLDER OR CONTRIBUTORS 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 TORT (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 Basic include for CUTLASS.
*/
#pragma once
////////////////////////////////////////////////////////////////////////////////////////////////////
#ifdef CUTLASS_NAMESPACE
#define concat_tok(a, b) a ## b
#define mkcutlassnamespace(pre, ns) concat_tok(pre, ns)
#define cutlass mkcutlassnamespace(cutlass_, CUTLASS_NAMESPACE)
#endif
////////////////////////////////////////////////////////////////////////////////////////////////////
#if defined(__NVCC__) || (defined(__clang__) && defined(__CUDA__))
#define CUTLASS_HOST_DEVICE __forceinline__ __device__ __host__
#define CUTLASS_DEVICE __forceinline__ __device__
#elif defined(__CUDACC_RTC__)
#define CUTLASS_HOST_DEVICE __forceinline__ __device__
#define CUTLASS_DEVICE __forceinline__ __device__
#else
#define CUTLASS_HOST_DEVICE inline
#define CUTLASS_DEVICE inline
#endif
////////////////////////////////////////////////////////////////////////////////////////////////////
template<typename T>
CUTLASS_HOST_DEVICE void __CUTLASS_UNUSED(T const &)
{ }
#if defined(__GNUC__)
#define CUTLASS_UNUSED(expr) __CUTLASS_UNUSED(expr)
#else
#define CUTLASS_UNUSED(expr) do { ; } while (&expr != &expr)
#endif
#ifdef _MSC_VER
// Provides support for alternative operators 'and', 'or', and 'not'
#include <iso646.h>
#endif // _MSC_VER
#if !defined(__CUDACC_RTC__)
#include <assert.h>
#endif
#if defined(__CUDA_ARCH__)
#if defined(_MSC_VER)
#define CUTLASS_NOT_IMPLEMENTED() { printf("%s not implemented\n", __FUNCSIG__); asm volatile ("brkpt;\n"); }
#else
#define CUTLASS_NOT_IMPLEMENTED() { printf("%s not implemented\n", __PRETTY_FUNCTION__); asm volatile ("brkpt;\n"); }
#endif
#else
#if defined(_MSC_VER)
#define CUTLASS_NOT_IMPLEMENTED() assert(0 && __FUNCSIG__)
#else
#define CUTLASS_NOT_IMPLEMENTED() assert(0 && __PRETTY_FUNCTION__)
#endif
#endif
////////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
/// Status code returned by CUTLASS operations
enum class Status {
kSuccess, ///< Operation was successful.
kErrorMisalignedOperand, ///< operands fail alignment requirements.
kErrorInvalidDataType, ///< DataType fails requirement.
kErrorInvalidLayout, ///< Layout fails alignment requirement.
kErrorInvalidProblem, ///< Specified problem size is not supported by operator.
kErrorNotSupported, ///< Operation is not supported on current device.
kErrorWorkspaceNull, ///< The given workspace is null when it is required to be non-null.
kErrorInternal, ///< An error within CUTLASS occurred.
kErrorArchMismatch, ///< CUTLASS runs on a device that it was not compiled for.
kErrorInsufficientDriver, ///< CUTLASS runs with a driver that is too old.
kErrorMemoryAllocation, ///< Kernel launch failed due to insufficient device memory.
kInvalid ///< Status is unspecified.
};
/// Convert cutlass status to status strings
CUTLASS_HOST_DEVICE
static char const* cutlassGetStatusString(cutlass::Status status) {
switch (status) {
case cutlass::Status::kSuccess:
return "Success";
case cutlass::Status::kErrorMisalignedOperand:
return "Error Misaligned Operand";
case cutlass::Status::kErrorInvalidDataType:
return "Error Invalid Data Type";
case cutlass::Status::kErrorInvalidLayout:
return "Error Invalid Layout";
case cutlass::Status::kErrorInvalidProblem:
return "Error Invalid Problem";
case cutlass::Status::kErrorNotSupported:
return "Error Not Supported";
case cutlass::Status::kErrorWorkspaceNull:
return "Error Workspace Null";
case cutlass::Status::kErrorInternal:
return "Error Internal";
case cutlass::Status::kErrorInsufficientDriver:
return "Error Insufficient Driver";
case cutlass::Status::kErrorArchMismatch:
return "Error Architecture Mismatch";
case cutlass::Status::kErrorMemoryAllocation:
return "Error Memory Allocation failed";
case cutlass::Status::kInvalid: break;
}
return "Invalid status";
}
////////////////////////////////////////////////////////////////////////////////////////////////////
#ifndef CUTLASS_CONV_UNIT_TEST_RIGOROUS_SIZE_ENABLED
#define CUTLASS_CONV_UNIT_TEST_RIGOROUS_SIZE_ENABLED 0
#endif
// CUDA 10.1 introduces the mma instruction
#if !defined(CUTLASS_ENABLE_TENSOR_CORE_MMA)
#define CUTLASS_ENABLE_TENSOR_CORE_MMA 0
#endif
////////////////////////////////////////////////////////////////////////////////////////////////////
#define CUTLASS_ASSERT(x) assert(x)
////////////////////////////////////////////////////////////////////////////////////////////////////
// CUTLASS_PRAGMA_(UNROLL|NO_UNROLL) optimization directives for the CUDA compiler.
#if defined(__CUDA_ARCH__) && !defined(__INTELLISENSE__)
#if defined(__CUDACC_RTC__) || (defined(__clang__) && defined(__CUDA__))
#define CUTLASS_PRAGMA_UNROLL _Pragma("unroll")
#define CUTLASS_PRAGMA_NO_UNROLL _Pragma("unroll 1")
#else
#define CUTLASS_PRAGMA_UNROLL #pragma unroll
#define CUTLASS_PRAGMA_NO_UNROLL #pragma unroll 1
#endif
#define CUTLASS_GEMM_LOOP CUTLASS_PRAGMA_NO_UNROLL
#else
#define CUTLASS_PRAGMA_UNROLL
#define CUTLASS_PRAGMA_NO_UNROLL
#define CUTLASS_GEMM_LOOP
#endif
////////////////////////////////////////////////////////////////////////////////////////////////////
static const int NumThreadsPerWarp = 32;
static const int NumThreadsPerWarpGroup = 128;
static const int NumThreadsPerHalfWarp = NumThreadsPerWarp / 2;
static const int NumThreadsPerQuad = 4;
static const int NumThreadsPerQuadPair = NumThreadsPerQuad * 2;
////////////////////////////////////////////////////////////////////////////////////////////////////
/// Helper function to return true when called by thread 0 of threadblock 0.
CUTLASS_HOST_DEVICE bool thread0() {
#if defined(__CUDA_ARCH__)
return (!threadIdx.x && !threadIdx.y && !threadIdx.z) && (!blockIdx.x && !blockIdx.y && !blockIdx.z);
#else
return false;
#endif
}
/// Returns a warp-uniform value indicating the canonical warp index of the calling threads.
/// Threads within the warp must be converged.
CUTLASS_DEVICE
int canonical_warp_idx() {
#if defined(__CUDA_ARCH__)
return __shfl_sync(0xffffffff, threadIdx.x / NumThreadsPerWarp, 0);
#else
return 0;
#endif
}
/// Returns a warp-uniform value indicating the canonical warp group index of the calling threads.
/// Threads within the warp must be converged.
CUTLASS_DEVICE
int canonical_warp_group_idx() {
#if defined(__CUDA_ARCH__)
return __shfl_sync(0xffffffff, threadIdx.x / NumThreadsPerWarpGroup, 0);
#else
return 0;
#endif
}
////////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace cutlass
////////////////////////////////////////////////////////////////////////////////////////////////////