wehub-resource-sync
503 lines
16 KiB
Plaintext
503 lines
16 KiB
Plaintext
/* ******************************************************************************
|
|
*
|
|
*
|
|
* This program and the accompanying materials are made available under the
|
|
* terms of the Apache License, Version 2.0 which is available at
|
|
* https://www.apache.org/licenses/LICENSE-2.0.
|
|
*
|
|
* See the NOTICE file distributed with this work for additional
|
|
* information regarding copyright ownership.
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See
|
|
* the License for the specific language governing permissions and limitations
|
|
* under the License.
|
|
*
|
|
* SPDX-License-Identifier: Apache-2.0
|
|
******************************************************************************/
|
|
|
|
//
|
|
// @author raver119@gmail.com
|
|
//
|
|
#include <execution/LaunchContext.h>
|
|
#include <exceptions/cuda_exception.h>
|
|
#include <system/op_boilerplate.h>
|
|
#include <loops/reduce_float.h>
|
|
#include <loops/scalar.h>
|
|
#include <loops/legacy_ops.h>
|
|
#include <helpers/DebugHelper.h>
|
|
#include <types/types.h>
|
|
#include <ops/specials_cuda.h>
|
|
#include <cuda.h>
|
|
#include <cuda_runtime.h>
|
|
|
|
using namespace simdOps;
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Z, typename OpType>
|
|
SD_KERNEL void simpleReduce(
|
|
const void* x,
|
|
const sd::LongType* outerXTadShapeInfo,
|
|
const sd::LongType* innerXTadShapeInfo,
|
|
void* extraParams,
|
|
void* vreductionBuffer,
|
|
void* z,
|
|
const sd::LongType* zShapeInfo) {
|
|
|
|
functions::reduce::ReduceFloatFunction<X,Z>::template transformCuda<OpType>(
|
|
x,
|
|
outerXTadShapeInfo,
|
|
innerXTadShapeInfo,
|
|
extraParams,
|
|
vreductionBuffer,
|
|
z,
|
|
zShapeInfo);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Z, typename OpType>
|
|
SD_KERNEL void simpleScalar(
|
|
const void* x,
|
|
const sd::LongType* xShapeInfo,
|
|
void* extraParams,
|
|
void* z,
|
|
const sd::LongType* zShapeInfo,
|
|
sd::LongType* dimension,
|
|
long long int dimensionLength,
|
|
void* reductionBuffer,
|
|
const sd::LongType* tadOnlyShapeInfo) {
|
|
|
|
functions::reduce::ReduceFloatFunction<X, Z>::template execScalarCuda<OpType>(
|
|
x,
|
|
xShapeInfo,
|
|
extraParams,
|
|
z,
|
|
zShapeInfo,
|
|
reductionBuffer,
|
|
tadOnlyShapeInfo);
|
|
}
|
|
|
|
namespace functions {
|
|
namespace reduce {
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Z>
|
|
template <typename OpType>
|
|
SD_DEVICE void ReduceFloatFunction<X,Z>::aggregatePartials(
|
|
void* vsPartials,
|
|
sd::LongType tid,
|
|
sd::LongType numItems,
|
|
void* vextraParams) {
|
|
|
|
using Y = typename OpType::InterType;
|
|
auto sPartials = reinterpret_cast<Y*>(vsPartials);
|
|
auto extraParams = reinterpret_cast<Z*>(vextraParams);
|
|
|
|
sd::LongType floorPow2 = numItems;
|
|
|
|
if (floorPow2 & (floorPow2 - 1)) {
|
|
while (floorPow2 & (floorPow2 - 1)) {
|
|
floorPow2 &= (floorPow2 - 1);
|
|
}
|
|
if (tid >= floorPow2) {
|
|
sPartials[tid - floorPow2] =
|
|
OpType::update(sPartials[tid - floorPow2], sPartials[tid], extraParams);
|
|
}
|
|
__syncthreads();
|
|
}
|
|
|
|
for (sd::LongType activeThreads = (floorPow2 >> 1); activeThreads; activeThreads >>= 1) {
|
|
if (tid < activeThreads && (tid + activeThreads) < numItems) {
|
|
sPartials[tid] =
|
|
OpType::update(sPartials[tid], sPartials[tid + activeThreads], extraParams);
|
|
}
|
|
__syncthreads();
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Z>
|
|
template <typename OpType>
|
|
SD_DEVICE void ReduceFloatFunction<X,Z>::transformCuda(
|
|
const void* vx,
|
|
const sd::LongType* outerXTadShapeInfo,
|
|
const sd::LongType* innerXTadShapeInfo,
|
|
void* vextraParams,
|
|
void* vreductionBuffer,
|
|
void* vz,
|
|
const sd::LongType* zShapeInfo) {
|
|
|
|
auto x = reinterpret_cast<const X*>(vx);
|
|
auto z = reinterpret_cast<Z*>(vz);
|
|
auto extraParams= reinterpret_cast<Z*>(vextraParams);
|
|
|
|
__shared__ Z sPartials[SD_CUDA_BLOCK_SIZE];
|
|
__shared__ sd::LongType tadLen;
|
|
__shared__ sd::LongType numTads;
|
|
__shared__ bool sameOffsets;
|
|
|
|
// Cache ranks/shape/stride for outer and z
|
|
__shared__ sd::LongType outerRank;
|
|
__shared__ const sd::LongType* outerStridePtr;
|
|
__shared__ const sd::LongType* outerShapePtr;
|
|
|
|
__shared__ sd::LongType zRank;
|
|
__shared__ const sd::LongType* zStridePtr;
|
|
__shared__ const sd::LongType* zShapePtr;
|
|
|
|
// Cache ranks/shape/stride for inner as well if needed
|
|
__shared__ sd::LongType innerRank;
|
|
__shared__ const sd::LongType* innerStridePtr;
|
|
__shared__ const sd::LongType* innerShapePtr;
|
|
|
|
if (threadIdx.x == 0) {
|
|
outerRank = shape::rank(outerXTadShapeInfo);
|
|
outerShapePtr = shape::shapeOf(outerXTadShapeInfo);
|
|
outerStridePtr = shape::stride(outerXTadShapeInfo);
|
|
|
|
zRank = shape::rank(zShapeInfo);
|
|
zShapePtr = shape::shapeOf(zShapeInfo);
|
|
zStridePtr = shape::stride(zShapeInfo);
|
|
|
|
innerRank = shape::rank(innerXTadShapeInfo);
|
|
innerShapePtr = shape::shapeOf(innerXTadShapeInfo);
|
|
innerStridePtr = shape::stride(innerXTadShapeInfo);
|
|
|
|
sameOffsets = shape::haveSameShapeAndStrides(zShapeInfo, outerXTadShapeInfo);
|
|
tadLen = shape::length(innerXTadShapeInfo);
|
|
numTads = shape::length(outerXTadShapeInfo);
|
|
}
|
|
__syncthreads();
|
|
|
|
sd::LongType coords[SD_MAX_RANK];
|
|
sd::LongType zCoords[SD_MAX_RANK];
|
|
for (sd::LongType r = blockIdx.x; r < numTads; r += gridDim.x) {
|
|
INDEX2COORDS(r, outerRank, outerShapePtr, coords);
|
|
|
|
sd::LongType outerOffset;
|
|
COORDS2INDEX(outerRank, outerStridePtr, coords, outerOffset);
|
|
|
|
sd::LongType zOffset;
|
|
if (sameOffsets) {
|
|
zOffset = outerOffset;
|
|
} else {
|
|
INDEX2COORDS(r, zRank, zShapePtr, zCoords);
|
|
COORDS2INDEX(zRank, zStridePtr, zCoords, zOffset);
|
|
}
|
|
|
|
const X* xTad = x + outerOffset;
|
|
sPartials[threadIdx.x] = OpType::startingValue(xTad);
|
|
|
|
// For the inner dimension
|
|
for (sd::LongType i = threadIdx.x; i < tadLen; i += blockDim.x) {
|
|
sd::LongType iCoords[SD_MAX_RANK];
|
|
sd::LongType innerOffset;
|
|
|
|
INDEX2COORDS(i, innerRank, innerShapePtr, iCoords);
|
|
COORDS2INDEX(innerRank, innerStridePtr, iCoords, innerOffset);
|
|
|
|
sPartials[threadIdx.x] = OpType::update(
|
|
sPartials[threadIdx.x],
|
|
OpType::op(xTad[innerOffset], extraParams),
|
|
extraParams);
|
|
}
|
|
__syncthreads();
|
|
|
|
aggregatePartials<OpType>(
|
|
sPartials,
|
|
threadIdx.x,
|
|
sd::math::sd_min<int>(blockDim.x, tadLen),
|
|
extraParams);
|
|
__syncthreads();
|
|
|
|
if (threadIdx.x == 0) {
|
|
z[zOffset] =
|
|
OpType::postProcess(sPartials[0], tadLen, extraParams);
|
|
}
|
|
__syncthreads();
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Z>
|
|
template <typename OpType>
|
|
SD_DEVICE void ReduceFloatFunction<X, Z>::execScalarCuda(
|
|
const void* vx,
|
|
const sd::LongType* xShapeInfo,
|
|
void* vextraParams,
|
|
void* vz,
|
|
const sd::LongType* zShapeInfo,
|
|
void* vreductionBuffer,
|
|
const sd::LongType* tadOnlyShapeInfo) {
|
|
|
|
auto x = reinterpret_cast<const X*>(vx);
|
|
auto z = reinterpret_cast<Z*>(vz);
|
|
auto extraParams = reinterpret_cast<Z*>(vextraParams);
|
|
auto reductionBuffer = reinterpret_cast<Z*>(vreductionBuffer);
|
|
|
|
using Y = typename OpType::InterType;
|
|
|
|
__shared__ Y sPartials[SD_CUDA_BLOCK_SIZE];
|
|
__shared__ sd::LongType length;
|
|
|
|
// Cache rank/shape/stride
|
|
__shared__ sd::LongType xRank;
|
|
__shared__ const sd::LongType* xShapePtr;
|
|
__shared__ const sd::LongType* xStridePtr;
|
|
|
|
int tid = blockDim.x * blockIdx.x + threadIdx.x;
|
|
if (threadIdx.x == 0) {
|
|
length = shape::length(xShapeInfo);
|
|
xRank = shape::rank(xShapeInfo);
|
|
xShapePtr = shape::shapeOf(xShapeInfo);
|
|
xStridePtr = shape::stride(xShapeInfo);
|
|
}
|
|
__syncthreads();
|
|
|
|
sPartials[threadIdx.x] = OpType::startingValue(x);
|
|
|
|
sd::LongType gridSize = gridDim.x * blockDim.x;
|
|
for (sd::LongType i = tid; i < length; i += gridSize) {
|
|
sd::LongType xCoords[SD_MAX_RANK];
|
|
sd::LongType xOffset;
|
|
|
|
INDEX2COORDS(i, xRank, xShapePtr, xCoords);
|
|
COORDS2INDEX(xRank, xStridePtr, xCoords, xOffset);
|
|
|
|
if(xOffset < length) {
|
|
sPartials[threadIdx.x] = OpType::update(
|
|
sPartials[threadIdx.x],
|
|
OpType::op(x[xOffset], extraParams),
|
|
extraParams);
|
|
}
|
|
|
|
}
|
|
__syncthreads();
|
|
|
|
aggregatePartials<OpType>(
|
|
sPartials,
|
|
threadIdx.x,
|
|
sd::math::sd_min<int>(blockDim.x, length),
|
|
extraParams);
|
|
__syncthreads();
|
|
|
|
if (gridDim.x > 1) {
|
|
auto tc = reinterpret_cast<unsigned int*>(reductionBuffer);
|
|
__shared__ bool amLast;
|
|
|
|
if (threadIdx.x == 0) {
|
|
reductionBuffer[blockIdx.x] = sPartials[0];
|
|
}
|
|
__threadfence();
|
|
__syncthreads();
|
|
|
|
if (threadIdx.x == 0) {
|
|
unsigned int ticket = atomicInc(&tc[16384], gridDim.x);
|
|
amLast = (ticket == (gridDim.x - 1));
|
|
}
|
|
__syncthreads();
|
|
|
|
if (amLast) {
|
|
tc[16384] = 0;
|
|
sPartials[threadIdx.x] = OpType::startingValue(x);
|
|
|
|
for (sd::LongType i = threadIdx.x; i < gridDim.x; i += blockDim.x) {
|
|
sPartials[threadIdx.x] =
|
|
OpType::update(sPartials[threadIdx.x],
|
|
reductionBuffer[i],
|
|
extraParams);
|
|
}
|
|
__syncthreads();
|
|
|
|
aggregatePartials<OpType>(
|
|
sPartials,
|
|
threadIdx.x,
|
|
sd::math::sd_min<int>(gridDim.x, blockDim.x),
|
|
extraParams);
|
|
__syncthreads();
|
|
|
|
if (threadIdx.x == 0) {
|
|
z[0] = OpType::postProcess(sPartials[0], length, extraParams);
|
|
}
|
|
}
|
|
} else {
|
|
if (threadIdx.x == 0) {
|
|
auto tc = reinterpret_cast<unsigned int*>(reductionBuffer);
|
|
tc[16384] = 0;
|
|
z[0] = OpType::postProcess(sPartials[0], length, extraParams);
|
|
}
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Z>
|
|
template<typename OpType>
|
|
SD_HOST void ReduceFloatFunction<X,Z>::intermediate(
|
|
dim3 launchDims,
|
|
cudaStream_t* stream,
|
|
const void* x,
|
|
const sd::LongType* dXShapeInfo,
|
|
const sd::LongType* hXShapeInfo,
|
|
void* extraParams,
|
|
void* vreductionBuffer,
|
|
void* z,
|
|
const sd::LongType* dZShapeInfo,
|
|
const sd::LongType* hZShapeInfo,
|
|
const sd::LongType* dims) {
|
|
|
|
if (shape::isEmptyConst(hXShapeInfo)) {
|
|
const auto startingVal = std::is_same<OpType, simdOps::Mean<X,Z>>::value
|
|
? sd::DataTypeUtils::nanOrZero<Z>()
|
|
: static_cast<Z>(OpType::startingValue(reinterpret_cast<const X*>(x)));
|
|
|
|
auto res = cudaMemcpyAsync(
|
|
sd::LaunchContext::defaultContext()->getScalarPointer(),
|
|
&startingVal,
|
|
sizeof(Z),
|
|
cudaMemcpyHostToDevice,
|
|
*stream);
|
|
if (res != 0) {
|
|
throw sd::cuda_exception::build(
|
|
"ReduceFloatFunction<X,Z>::intermediate: failed to copy temporary scalar", res);
|
|
}
|
|
|
|
auto ptr = sd::LaunchContext::defaultContext()->getScalarPointer();
|
|
// scalar assign
|
|
functions::scalar::ScalarTransform<Z, Z, Z>::executeCudaShaped(
|
|
launchDims,
|
|
stream,
|
|
14,
|
|
z,
|
|
dZShapeInfo,
|
|
hZShapeInfo,
|
|
z,
|
|
dZShapeInfo,
|
|
hZShapeInfo,
|
|
ptr,
|
|
nullptr);
|
|
} else {
|
|
const int zRank = shape::rank(hZShapeInfo);
|
|
const int tadRank = shape::rank(hXShapeInfo) - zRank;
|
|
|
|
auto outerPack = sd::ConstantShapeHelper::getInstance().createSubArrShapeInfo(
|
|
const_cast<sd::LongType*>(hXShapeInfo), const_cast<sd::LongType*>(dims), zRank);
|
|
auto innerPack = sd::ConstantShapeHelper::getInstance().createSubArrShapeInfo(
|
|
const_cast<sd::LongType*>(hXShapeInfo), const_cast<sd::LongType*>(dims + zRank), tadRank);
|
|
|
|
simpleReduce<X, Z, OpType>
|
|
<<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(
|
|
x,
|
|
reinterpret_cast<const sd::LongType*>(outerPack->special()),
|
|
reinterpret_cast<const sd::LongType*>(innerPack->special()),
|
|
extraParams,
|
|
vreductionBuffer,
|
|
z,
|
|
dZShapeInfo);
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Z>
|
|
template<typename OpType>
|
|
SD_HOST void ReduceFloatFunction<X,Z>::intermediateScalar(
|
|
dim3 launchDims,
|
|
cudaStream_t* stream,
|
|
const void* x,
|
|
const sd::LongType* xShapeInfo,
|
|
const sd::LongType* hXShapeInfo,
|
|
void* extraParams,
|
|
void* z,
|
|
const sd::LongType* dZShapeInfo,
|
|
const sd::LongType* hZShapeInfo,
|
|
sd::LongType* dimension,
|
|
sd::LongType dimensionLength,
|
|
void* reductionBuffer,
|
|
const sd::LongType* tadOnlyShapeInfo) {
|
|
|
|
if (shape::isEmptyConst(hXShapeInfo)) {
|
|
const auto startingVal = std::is_same<OpType, simdOps::Mean<X,Z>>::value
|
|
? sd::DataTypeUtils::nanOrZero<Z>()
|
|
: static_cast<Z>(OpType::startingValue(reinterpret_cast<const X*>(x)));
|
|
|
|
auto res = cudaMemcpyAsync(z, &startingVal, sizeof(Z), cudaMemcpyHostToDevice, *stream);
|
|
if (res != 0) {
|
|
throw sd::cuda_exception::build(
|
|
"ReduceFloatFunction<X,Z>::intermediateScalar: failed to copy resulting scalar", res);
|
|
}
|
|
} else {
|
|
simpleScalar<X, Z, OpType><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(
|
|
x,
|
|
xShapeInfo,
|
|
extraParams,
|
|
z,
|
|
dZShapeInfo,
|
|
dimension,
|
|
dimensionLength,
|
|
reductionBuffer,
|
|
tadOnlyShapeInfo);
|
|
}
|
|
sd::DebugHelper::checkErrorCode(stream, "ReduceFloatFunction intermediateScalar(...) failed");
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Y>
|
|
SD_HOST void ReduceFloatFunction<X,Y>::execReduceScalar(
|
|
dim3 launchDims,
|
|
cudaStream_t* stream,
|
|
const int opNum,
|
|
const void* x,
|
|
const sd::LongType* xShapeInfo,
|
|
const sd::LongType* hXShapeInfo,
|
|
void* extraParams,
|
|
void* z,
|
|
const sd::LongType* dZShapeInfo,
|
|
const sd::LongType* hZShapeInfo,
|
|
sd::LongType* dimension,
|
|
long long int dimensionLength,
|
|
void* reductionBuffer,
|
|
const sd::LongType* tadOnlyShapeInfo) {
|
|
|
|
DISPATCH_BY_OPNUM_TT(
|
|
intermediateScalar,
|
|
PARAMS(
|
|
launchDims, stream, x, xShapeInfo, hXShapeInfo, extraParams, z, dZShapeInfo, hZShapeInfo, dimension,
|
|
dimensionLength, reductionBuffer, tadOnlyShapeInfo),
|
|
OPS_A(REDUCE_FLOAT_OPS));
|
|
sd::DebugHelper::checkErrorCode(stream, "execReduceScalarFloat(...) failed");
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Y>
|
|
SD_HOST void ReduceFloatFunction<X,Y>::execReduce(
|
|
dim3 launchDims,
|
|
cudaStream_t* stream,
|
|
const int opNum,
|
|
const void* x,
|
|
const sd::LongType* dXShapeInfo,
|
|
const sd::LongType* hXShapeInfo,
|
|
void* extraParams,
|
|
void* vreductionBuffer,
|
|
void* z,
|
|
const sd::LongType* dZShapeInfo,
|
|
const sd::LongType* hZShapeInfo,
|
|
const sd::LongType* dims) {
|
|
|
|
if (shape::length(hZShapeInfo) == 1) {
|
|
ReduceFloatFunction<X,Y>::execReduceScalar(
|
|
launchDims, stream, opNum, x, dXShapeInfo, hXShapeInfo,
|
|
extraParams, z, dZShapeInfo, hZShapeInfo,
|
|
nullptr, 0, vreductionBuffer, nullptr);
|
|
} else {
|
|
DISPATCH_BY_OPNUM_TT(
|
|
intermediate,
|
|
PARAMS(
|
|
launchDims, stream, x, dXShapeInfo, hXShapeInfo, extraParams, vreductionBuffer, z, dZShapeInfo,
|
|
hZShapeInfo, dims),
|
|
OPS_A(REDUCE_FLOAT_OPS));
|
|
}
|
|
sd::DebugHelper::checkErrorCode(stream, "ReduceFloatFunction execReduce(...) failed");
|
|
}
|
|
|
|
} // namespace reduce
|
|
} // namespace functions
|