cavis/libnd4j/include/loops/cuda/scalar_bool.cu

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/* ******************************************************************************
*
*
* 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 Yurii Shyrma (iuriish@yahoo.com), created on 08.11.2018
// @author raver119@gmail.com
//
#include "../scalar_bool.h"
#include <system/op_boilerplate.h>
#include <types/types.h>
#include "../legacy_ops.h"
using namespace simdOps;
////////////////////////////////////////////////////////////////////////
template <typename X, typename Z, typename OpType>
__global__ void scalarAlongDimension(void const* x, Nd4jLong const* xShapeInfo,
void *extraParams,
void *z, Nd4jLong const* zShapeInfo,
void const* scalars,
int *dimension, int dimensionLength,
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
Nd4jLong const* tadShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
functions::scalar::ScalarBoolTransform<X,Z>::template transformCuda<OpType>(x, xShapeInfo, extraParams, z, zShapeInfo, scalars, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ);
}
////////////////////////////////////////////////////////////////////////
template <typename X, typename Z, typename OpType>
__global__ void scalarSimpleShaped(void const* x, void const* y, Nd4jLong const* xShapeInfo, void *params, void *z, Nd4jLong const* zShapeInfo, int *allocationBuffer) {
functions::scalar::ScalarBoolTransform<X,Z>::template transformCuda<OpType>(y, x, xShapeInfo, params, z, zShapeInfo, allocationBuffer);
}
// *********************************************************************//
// *********************************************************************//
namespace functions {
namespace scalar {
////////////////////////////////////////////////////////////////////////
template<typename X, typename Z>
template<typename OpType>
__device__ void ScalarBoolTransform<X, Z>::transformCuda(void const* vscalar,
void const* vy, Nd4jLong const* yShapeInfo,
void *vparams,
void *vz, Nd4jLong const* zShapeInfo,
int *allocationBuffer) {
auto scalar = reinterpret_cast<X const* >(vscalar)[0];
auto y = reinterpret_cast<X const* >(vy);
auto params = reinterpret_cast<X*>(vparams);
auto z = reinterpret_cast<Z*>(vz);
auto yRank = shape::rank(yShapeInfo);
auto yEWS = shape::elementWiseStride(yShapeInfo);
auto yShape = shape::shapeOf(yShapeInfo);
auto yStride = shape::stride(yShapeInfo);
auto zRank = shape::rank(zShapeInfo);
auto zEWS = shape::elementWiseStride(zShapeInfo);
auto zShape = shape::shapeOf(zShapeInfo);
auto zStride = shape::stride(zShapeInfo);
int totalThreads = gridDim.x * blockDim.x;
int tid = blockIdx.x * blockDim.x + threadIdx.x;
__shared__ int len;
if(threadIdx.x == 0)
len = shape::length(yShapeInfo);
__syncthreads();
if(yEWS >= 1 && zEWS >= 1 && shape::order(yShapeInfo) == shape::order(zShapeInfo)) {
transformCuda<OpType>(len, vscalar, vy, yEWS, vparams, vz, zEWS, allocationBuffer);
}
else {
for (Nd4jLong i = tid; i < len; i+= totalThreads)
z[shape::getIndexOffset(i, zShapeInfo)] = OpType::op(y[shape::getIndexOffset(i, yShapeInfo)], scalar, params);
}
}
////////////////////////////////////////////////////////////////////////
template<typename X, typename Z>
template<typename OpType>
__device__ void ScalarBoolTransform<X, Z>::transformCuda(Nd4jLong len,
void const* vx,
void const* vy, Nd4jLong yEWS,
void *vparams,
void *vz, Nd4jLong zEWS,
int *allocationBuffer) {
auto x = reinterpret_cast<X const*>(vx)[0];
auto y = reinterpret_cast<X const*>(vy);
auto z = reinterpret_cast<Z*>(vz);
auto params = reinterpret_cast<X*>(vparams);
int totalThreads = gridDim.x * blockDim.x;
int tid = blockIdx.x * blockDim.x + threadIdx.x;
Nd4jLong i = tid;
if(yEWS == 1 && zEWS == 1) {
for (; i < len; i += totalThreads)
z[i] = OpType::op(y[i], x, params);
}
else {
for (; i < len; i += totalThreads)
z[i * zEWS] = OpType::op(y[i * yEWS], x, params);
}
}
////////////////////////////////////////////////////////////////////////
template<typename X, typename Z>
template<typename OpType>
__device__ void ScalarBoolTransform<X, Z>::transformCuda(void const* vx, Nd4jLong const* xShapeInfo,
void *vextraParams,
void *vz, Nd4jLong const* zShapeInfo,
void const* vscalars,
int *dimension, int dimensionLength,
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
Nd4jLong const* tadShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
auto x = reinterpret_cast<X const*>(vx);
auto scalars = reinterpret_cast<X const*>(vscalars);
auto z = reinterpret_cast<Z*>(vz);
auto extraParams = reinterpret_cast<X*>(vextraParams);
if (tadShapeInfoZ == nullptr) {
tadShapeInfoZ = tadShapeInfo;
tadOffsetsZ = tadOffsets;
}
// tad preparation
auto tadEws = shape::elementWiseStride(tadShapeInfo);
auto zEws = shape::elementWiseStride(tadShapeInfoZ);
auto tadLength = shape::length(tadShapeInfo);//shape::tadLength(xShapeInfo, dimension, dimensionLength);
auto numTads =shape::length(xShapeInfo) / tadLength;
if (tadEws > 0 && zEws > 0 && shape::order(tadShapeInfo) == shape::order(zShapeInfo)) {
// main loop, rolling over tads
for (int r = blockIdx.x; r < numTads; r += gridDim.x) {
Z *oZ = z + tadOffsetsZ[r];
auto oX = x + tadOffsets[r];
auto s = scalars[r];
for (int f = threadIdx.x; f < tadLength; f += blockDim.x)
oZ[f * zEws] = OpType::op(oX[f * tadEws], s, extraParams);
}
} else {
// main loop, rolling over tads
for (int r = blockIdx.x; r < numTads; r += gridDim.x) {
Z *oZ = z + tadOffsetsZ[r];
auto oX = x + tadOffsets[r];
auto s = scalars[r];
for (int f = threadIdx.x; f < tadLength; f += blockDim.x)
oZ[shape::getIndexOffset(f, tadShapeInfoZ)] = OpType::op(oX[shape::getIndexOffset(f, tadShapeInfo)], s, extraParams);
}
}
}
////////////////////////////////////////////////////////////////////////
template<typename X, typename Z>
template <typename OpType>
_CUDA_H void ScalarBoolTransform<X, Z>::intermediateAlongDimension(dim3& launchDims, cudaStream_t *stream,
void const* x, Nd4jLong const* xShapeInfo,
void *z, Nd4jLong const* zShapeInfo,
void const* scalars,
void *extraParams,
int *dimension, int dimensionLength,
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
Nd4jLong const* tadShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
scalarAlongDimension<X, Z, OpType><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(x, xShapeInfo, extraParams, z, zShapeInfo, scalars, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ);
sd::DebugHelper::checkErrorCode(stream, "scalarAlongDim(...) failed");
}
////////////////////////////////////////////////////////////////////////
template<typename X, typename Z>
template<typename OpType>
void _CUDA_H ScalarBoolTransform<X,Z>::intermediateShaped(dim3& launchDims, cudaStream_t *stream,
void const* vx, Nd4jLong const* xShapeInfo,
void *vz, Nd4jLong const* zShapeInfo,
void const* vscalar,
void *vextraParams, int *allocPointer){
scalarSimpleShaped<X, Z, OpType><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(vx, vscalar, xShapeInfo, vextraParams, vz, zShapeInfo, allocPointer);
sd::DebugHelper::checkErrorCode(stream, "scalarSimpleShaped(...) failed");
}
////////////////////////////////////////////////////////////////////////
template<typename X, typename Y>
void ScalarBoolTransform<X,Y>::executeCudaShaped(dim3& launchDims, cudaStream_t *stream,
int opNum,
void const* vx, Nd4jLong const* xShapeInfo,
void *vz, Nd4jLong const* zShapeInfo,
void const* vscalar,
void const* vextraParams) {
if (sd::Environment::getInstance().isDebugAndVerbose())
printf("H14 opNum:[%i]\n", opNum);
DISPATCH_BY_OPNUM_TT(intermediateShaped, PARAMS(launchDims, stream, vx, xShapeInfo, vz, zShapeInfo, vscalar, const_cast<void*>(vextraParams), nullptr), SCALAR_BOOL_OPS);
}
////////////////////////////////////////////////////////////////////////
template<typename X, typename Y>
void ScalarBoolTransform<X,Y>::executeCudaAlongDimension(dim3& launchDims, cudaStream_t *stream, int opNum, void const* vx, Nd4jLong const* xShapeInfo, void *vz, Nd4jLong const* zShapeInfo, void const* vscalars, void *vextraParams, int *dimension, int dimensionLength, Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets, Nd4jLong const* tadShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
DISPATCH_BY_OPNUM_TT(intermediateAlongDimension, PARAMS(launchDims, stream, vx, xShapeInfo, vz, zShapeInfo, vscalars, vextraParams, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ), SCALAR_BOOL_OPS);
}
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT ScalarBoolTransform, , LIBND4J_TYPES, BOOL_TYPES);
}
}