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ffi.lua
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ffi.lua
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local ffi = require 'ffi'
--[[
/*************************************************************************
* Copyright (c) 2015, 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 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 ``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 OWNER 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.
************************************************************************/
--]]
ffi.cdef[[
/* Opaque handle to communicator */
typedef struct ncclComm* ncclComm_t;
//#define NCCL_UNIQUE_ID_BYTES 128
typedef struct { char internal[128]; } ncclUniqueId;
/* Error type */
typedef enum { ncclSuccess = 0,
ncclUnhandledCudaError = 1,
ncclSystemError = 2,
ncclInternalError = 3,
ncclInvalidDevicePointer = 4,
ncclInvalidRank = 5,
ncclUnsupportedDeviceCount = 6,
ncclDeviceNotFound = 7,
ncclInvalidDeviceIndex = 8,
ncclLibWrapperNotSet = 9,
ncclCudaMallocFailed = 10,
ncclRankMismatch = 11,
ncclInvalidArgument = 12,
ncclInvalidType = 13,
ncclInvalidOperation = 14,
nccl_NUM_RESULTS = 15 } ncclResult_t;
/* Generates a unique Id with each call. Used to generate commId for
* ncclCommInitAll. uniqueId will be created in such a way that it is
* guaranteed to be unique accross the host. */
ncclResult_t ncclGetUniqueId(ncclUniqueId* uniqueId);
/* Creates a new communicator (multi process version).
* rank must be between 0 and ndev-1 and unique within a communicator clique.
* ndev is number of logical devices
* The communicator is created on the current CUDA device.
* ncclCommInitRank implicitly syncronizes with other ranks, so INIT OF EACH RANK MUST
* BE CALLED IN A SEPARATE HOST THREADS to avoid deadlock. */
ncclResult_t ncclCommInitRank(ncclComm_t* comm, int ndev, ncclUniqueId commId, int rank);
/* Creates a clique of communicators.
* This is a convenience function to create a single-process communicator clique.
* Returns an array of ndev newly initialized communicators in comm.
* comm should be pre-allocated with size at least ndev*sizeof(ncclComm_t).
* If devlist is NULL, the first ndev CUDA devices are used.
* Order of devlist defines user-order of processors within the communicator. */
ncclResult_t ncclCommInitAll(ncclComm_t* comm, int ndev, int* devlist);
/* Frees resources associated with communicator object. */
void ncclCommDestroy(ncclComm_t comm);
/* Returns nice error message. */
const char* ncclGetErrorString(ncclResult_t result);
/* Sets count to number of devices in the communicator clique. */
ncclResult_t ncclCommCount(const ncclComm_t comm, int* count);
/* Returns cuda device number associated with communicator. */
ncclResult_t ncclCommCuDevice(const ncclComm_t comm, int* device);
/* Returns user-ordered "rank" assocaiated with communicator. */
ncclResult_t ncclCommUserRank(const ncclComm_t comm, int* rank);
/* Reduction opperation selector */
typedef enum { ncclSum = 0,
ncclProd = 1,
ncclMax = 2,
ncclMin = 3,
nccl_NUM_OPS = 4 } ncclRedOp_t;
/* Data types */
typedef enum { ncclChar = 0,
ncclInt = 1,
//#ifdef CUDA_HAS_HALF
ncclHalf = 2,
//#endif
ncclFloat = 3,
ncclDouble = 4,
nccl_NUM_TYPES = 5 } ncclDataType_t;
/* Reduces data arrays of length count in sendbuff into recvbuf using op operation.
* recvbuf may be NULL on all calls except for root device.
* On the root device, sendbuff and recvbuff are assumed to reside on
* the same device.
* Must be called separately for each communicator in communicator clique.
*/
ncclResult_t ncclReduce(const void* sendbuff, void* recvbuf, int count, ncclDataType_t datatype,
ncclRedOp_t op, int root, ncclComm_t comm, cudaStream_t stream);
/* Reduces data arrays of length count in sendbuff using op operation, and leaves
* identical copies of result on each GPUs recvbuff.
* Sendbuff and recvbuff are assumed to reside on the same device.
* Must be called separately for each communicator in communicator clique. */
ncclResult_t ncclAllReduce(const void* sendbuff, void* recvbuff, int count,
ncclDataType_t datatype, ncclRedOp_t op, ncclComm_t comm, cudaStream_t stream);
/* Reduces data in sendbuff using op operation and leaves reduced result scattered
* over the devices so that recvbuff on the i-th GPU will contain the i-th block of
* the result. Sendbuff and recvbuff are assumed to reside on same device. Assumes
* sendbuff has size at least ndev*recvcount elements, where ndev is number of
* communicators in communicator clique
* Must be called separately for each communicator in communicator clique.*/
ncclResult_t ncclReduceScatter(const void* sendbuff, void* recvbuff,
int recvcount, ncclDataType_t datatype, ncclRedOp_t op, ncclComm_t comm,
cudaStream_t stream);
/* Copies count values from root to all other devices.
* Root specifies the source device in user-order
* (see ncclCommInit).
* Must be called separately for each communicator in communicator clique. */
ncclResult_t ncclBcast(void* buff, int count, ncclDataType_t datatype, int root,
ncclComm_t comm, cudaStream_t stream);
/* Each device gathers count values from other GPUs.
* Result is ordered by comm's logical device order.
* Assumes recvbuff has size at least ndev*count, where ndev is number of communicators
* in communicator clique.
* Sendbuff and recvbuff are assumed to reside on same device.
* Must be called separately for each communicator in communicator clique. */
ncclResult_t ncclAllGather(const void* sendbuff, int count, ncclDataType_t datatype,
void* recvbuff, ncclComm_t comm, cudaStream_t stream);
/* The following collective operations are not implemented yet */
///* Gather count values from each device to recvbuff.
// * Result is ordered by comm's logical device order.
// * recvbuff may be NULL for all calls except for root device.
// * On the root device, sendbuff and recvbuff are assumed to reside on the same device.
// * Must be called separately for each communicator in communicator clique. */
// * All GPUs, including root, perform copies into recvbuff.
//ncclResult_t ncclGather(const void* sendbuff, int count, ncclDataType_t datatype,
// void* recvbuff, int root, ncclComm_t comm, cudaStream_t stream);
///* Root device scatters count values to each devices.
// * sendbuff may be NULL on all devices except a single root
// * device where it is assumed to have size at least nGPUs*count.
// * recvbuff allocated on each gpu, including root, size=count.
// * Result is ordered by comm's logical device order.
// * Called separately for each device in the ncclComm. */
//ncclResult_t ncclScatter(void* sendbuff, ncclDataType_t datatype, void* recvbuff,
// int count, int root, ncclComm_t comm, cudaStream_t stream);
//
///* All GPUs scatter blocks of count elements to other devices.
// * Must be called separately for each device in the ncclComm.
// * sendbuff and recvbuff assumed to reside on same device and
// * have size at least nGPUs*count.
// * Called separately for each device in the ncclComm. */
//ncclResult_t ncclAllToAll(void* sendbuff, int count, ncclDataType_t datatype,
// void* recvbuff, ncclComm_t comm, cudaStream_t stream);
]]
local libnames = {'libnccl.so.1', 'libnccl.1.dylib'}
local ok = false
for i=1,#libnames do
ok = pcall(function () res = ffi.load(libnames[i]) end)
if ok then break; end
end
if not ok then
print(res)
error([['libnccl.so not found in library path.
Please install nccl.
Then make sure all the files named as libnccl.so* are placed in your library load path (for example /usr/local/lib , or manually add a path to LD_LIBRARY_PATH)
]])
end
return res