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

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/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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.
*
* 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
//
#ifndef SCALAR_CU
#define SCALAR_CU
#include "loops/scalar.h"
#include <cuda.h>
#include <cuda_runtime.h>
#include <op_boilerplate.h>
#include <helpers/TAD.h>
#include <types/types.h>
using namespace simdOps;
////////////////////////////////////////////////////////////////////////////////
template <typename X, typename Y, typename Z, typename OpType>
__global__ static void scalarSimpleShaped(void* vx, void *vscalar, Nd4jLong *xShapeInfo, void *vparams, void *vz, Nd4jLong *zShapeInfo, int *allocationBuffer) {
auto scalar = reinterpret_cast<Y*>(vscalar)[0];
auto x = reinterpret_cast<X*>(vx);
auto params = reinterpret_cast<Z*>(vparams);
auto z = reinterpret_cast<Z*>(vz);
int totalThreads = gridDim.x * blockDim.x;
int tid = blockIdx.x * blockDim.x + threadIdx.x;
__shared__ Nd4jLong length;
if(threadIdx.x == 0) {
length = shape::length(xShapeInfo);
}
__syncthreads();
auto xEws = shape::elementWiseStride(xShapeInfo);
auto zEws = shape::elementWiseStride(zShapeInfo);
auto xOrder = shape::order(xShapeInfo);
auto zOrder = shape::order(zShapeInfo);
if (xEws >= 1 && zEws >= 1 && xOrder == zOrder) {
for (Nd4jLong i = tid; i < length; i += totalThreads) {
z[i * zEws] = OpType::op(x[i * xEws], scalar, params);
}
} else {
for (Nd4jLong i = tid; i < length; i += totalThreads) {
z[shape::getIndexOffset(i, zShapeInfo, length)] = OpType::op(x[shape::getIndexOffset(i, xShapeInfo, length)], scalar, params);
}
}
}
////////////////////////////////////////////////////////////////////////////////
template <typename X, typename Y, typename Z, typename OpType>
__global__ static void scalarAlongDimension(void *vx, Nd4jLong *xShapeInfo,
void *vextraParams,
void *vz, Nd4jLong *zShapeInfo,
void *vscalars,
int *dimension, int dimensionLength,
Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets,
Nd4jLong *tadShapeInfoZ, Nd4jLong *tadOffsetsZ) {
auto x = reinterpret_cast<X*>(vx);
auto extraParams = reinterpret_cast<Z*>(vextraParams);
auto z = reinterpret_cast<Z*>(vz);
auto scalars = reinterpret_cast<Y*>(vscalars);
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];
X *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];
X *oX = x + tadOffsets[r];
auto s = scalars[r];
for (int f = threadIdx.x; f < tadLength; f += blockDim.x)
oZ[shape::getIndexOffset(f, tadShapeInfoZ, tadLength)] = OpType::op(oX[shape::getIndexOffset(f, tadShapeInfo, tadLength)], s, extraParams);
}
}
}
namespace functions {
namespace scalar {
////////////////////////////////////////////////////////////////////////////////
template<typename X, typename Y, typename Z>
template<typename OpType>
void _CUDA_H ScalarTransform<X,Y,Z>::intermediateShaped(dim3& launchDims, cudaStream_t *stream, void *vx, Nd4jLong *xShapeInfo, Nd4jLong *hxShapeInfo, void *vz, Nd4jLong *zShapeInfo, Nd4jLong *hzShapeInfo, void* vscalar, void *vextraParams, int *allocPointer){
auto xEws = shape::elementWiseStride(hxShapeInfo);
auto xOrder = shape::order(hxShapeInfo);
auto zEws = shape::elementWiseStride(hzShapeInfo);
auto zOrder = shape::order(hzShapeInfo);
auto length = shape::length(hxShapeInfo);
scalarSimpleShaped<X, Y, Z, OpType><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(vx, vscalar, xShapeInfo, vextraParams, vz, zShapeInfo, allocPointer);
nd4j::DebugHelper::checkErrorCode(stream, "scalarSimpleShapedA(...) failed");
}
////////////////////////////////////////////////////////////////////////////////
template<typename X, typename Y, typename Z>
template<typename OpType>
void _CUDA_H ScalarTransform<X,Y,Z>::intermediateAlongDimension(dim3& launchDims, cudaStream_t *stream, void *x, Nd4jLong *xShapeInfo, void *z, Nd4jLong *zShapeInfo, void *scalars, void *extraParams, int *dimension, int dimensionLength, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadShapeInfoZ, Nd4jLong *tadOffsetsZ) {
scalarAlongDimension<X, Y, Z, OpType><<<launchDims.x, launchDims.y, launchDims.z>>>(x, xShapeInfo, extraParams, z, zShapeInfo, scalars, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ);
nd4j::DebugHelper::checkErrorCode(stream, "scalarAlongDimA(...) failed");
}
////////////////////////////////////////////////////////////////////////////////
template<typename X, typename Y, typename Z>
void ScalarTransform<X,Y,Z>::executeCudaShaped(dim3& launchDims, cudaStream_t *stream, int opNum, void *vx, Nd4jLong *xShapeInfo, Nd4jLong *hxShapeInfo, void *vz, Nd4jLong *zShapeInfo, Nd4jLong *hzShapeInfo, void* vscalar, void *vextraParams) {
if (nd4j::Environment::getInstance()->isDebugAndVerbose())
printf("H14 opNum:[%i]\n", opNum);
DISPATCH_BY_OPNUM_TTT(intermediateShaped, PARAMS(launchDims, stream, vx, xShapeInfo, hxShapeInfo, vz, zShapeInfo, hzShapeInfo, vscalar, vextraParams, nullptr), SCALAR_OPS);
}
////////////////////////////////////////////////////////////////////////////////
template<typename X, typename Y, typename Z>
void ScalarTransform<X,Y,Z>::executeCudaAlongDimension(dim3& launchDims, cudaStream_t *stream, int opNum, void *vx, Nd4jLong *xShapeInfo, void *vz, Nd4jLong *zShapeInfo, void *vscalars, void *vextraParams, int *dimension, int dimensionLength, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadShapeInfoZ, Nd4jLong *tadOffsetsZ) {
DISPATCH_BY_OPNUM_TTT(intermediateAlongDimension, PARAMS(launchDims, stream, vx, xShapeInfo, vz, zShapeInfo, vscalars, vextraParams, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ), SCALAR_OPS);
}
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT ScalarTransform, , PAIRWISE_TYPES_0);
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT ScalarTransform, , PAIRWISE_TYPES_1);
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT ScalarTransform, , PAIRWISE_TYPES_2);
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT ScalarTransform, , PAIRWISE_TYPES_3);
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT ScalarTransform, , PAIRWISE_TYPES_4);
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT ScalarTransform, , PAIRWISE_TYPES_5);
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT ScalarTransform, , PAIRWISE_TYPES_6);
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT ScalarTransform, , PAIRWISE_TYPES_7);
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT ScalarTransform, , PAIRWISE_TYPES_8);
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT ScalarTransform, , PAIRWISE_TYPES_9);
}
}
#endif // SCALAR_CU
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