cavis/libnd4j/include/loops/cpu/random.hpp

281 lines
13 KiB
C++

/*******************************************************************************
* 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, created on 15.12.17.
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include <types/types.h>
#include <system/op_boilerplate.h>
#include <loops/random.h>
#include <helpers/OmpLaunchHelper.h>
using namespace randomOps;
namespace functions {
namespace random {
template<typename X>
template<typename OpClass>
void RandomFunction<X>::execTransform(Nd4jPointer state,
const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
void *vextraArguments) {
auto x = reinterpret_cast<const X *>(vx);
auto y = reinterpret_cast<const X *>(vy);
auto z = reinterpret_cast<X *>(vz);
auto extraArguments = reinterpret_cast<X *>(vextraArguments);
if (OpClass::requiresSpecial) {
OpClass::specialOp(state, x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, extraArguments);
return;
}
auto length = shape::length(zShapeInfo);
sd::graph::RandomGenerator* rng = reinterpret_cast<sd::graph::RandomGenerator*>(state);
if(shape::haveSameShapeAndStrides(xShapeInfo, yShapeInfo) && shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo)) {
if(shape::elementWiseStride(zShapeInfo) == 1 && shape::elementWiseStride(xShapeInfo) == 1 && shape::elementWiseStride(yShapeInfo) == 1 &&
shape::order(xShapeInfo) == shape::order(zShapeInfo) && shape::order(zShapeInfo) == shape::order(yShapeInfo) ){
auto func = PRAGMA_THREADS_FOR {
PRAGMA_OMP_SIMD
for (auto i = start; i < stop; i++) {
z[i] = OpClass::op(x[i], y[i], i, length, rng, extraArguments);
}
};
samediff::Threads::parallel_for(func, 0, length, 1);
}
else{
uint xShapeInfoCast[MAX_RANK];
const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
auto func = PRAGMA_THREADS_FOR {
PRAGMA_OMP_SIMD
for (auto i = start; i < stop; i++) {
auto offset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
z[offset] = OpClass::op(x[offset], y[offset], i, length, rng, extraArguments);
}
};
samediff::Threads::parallel_for(func, 0, length, 1);
}
}
else if (shape::haveSameShapeAndStrides(xShapeInfo, yShapeInfo)) {
uint xShapeInfoCast[MAX_RANK];
uint zShapeInfoCast[MAX_RANK];
const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
const bool canCastZ = sd::DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);
auto func = PRAGMA_THREADS_FOR {
PRAGMA_OMP_SIMD
for (auto i = start; i < stop; i++) {
auto offset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
auto zOffset = shape::indexOffset(i, zShapeInfo, zShapeInfoCast, canCastZ);
z[zOffset] = OpClass::op(x[offset], y[offset], i, length, rng, extraArguments);
}
};
samediff::Threads::parallel_for(func, 0, length, 1);
}
else if (shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo)) {
uint xShapeInfoCast[MAX_RANK];
uint yShapeInfoCast[MAX_RANK];
const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
const bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
auto func = PRAGMA_THREADS_FOR {
PRAGMA_OMP_SIMD
for (auto i = start; i < stop; i++) {
auto offset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
auto yOffset = shape::indexOffset(i, yShapeInfo, yShapeInfoCast, canCastY);
z[offset] = OpClass::op(x[offset], y[yOffset], i, length, rng, extraArguments);
}
};
samediff::Threads::parallel_for(func, 0, length, 1);
}
else if (shape::haveSameShapeAndStrides(yShapeInfo, zShapeInfo)) {
uint xShapeInfoCast[MAX_RANK];
uint yShapeInfoCast[MAX_RANK];
const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
const bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
auto func = PRAGMA_THREADS_FOR {
PRAGMA_OMP_SIMD
for (auto i = start; i < stop; i++) {
auto xOffset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
auto offset = shape::indexOffset(i, yShapeInfo, yShapeInfoCast, canCastY);
z[offset] = OpClass::op(x[xOffset], y[offset], i, length, rng, extraArguments);
}
};
samediff::Threads::parallel_for(func, 0, length, 1);
}
else {
uint xShapeInfoCast[MAX_RANK];
uint yShapeInfoCast[MAX_RANK];
uint zShapeInfoCast[MAX_RANK];
const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
const bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
const bool canCastZ = sd::DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);
auto func = PRAGMA_THREADS_FOR {
PRAGMA_OMP_SIMD
for (auto i = start; i < stop; i++) {
auto xOffset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
auto yOffset = shape::indexOffset(i, yShapeInfo, yShapeInfoCast, canCastY);
auto zOffset = shape::indexOffset(i, zShapeInfo, zShapeInfoCast, canCastZ);
z[zOffset] = OpClass::op(x[xOffset], y[yOffset], i, length, rng, extraArguments);
}
};
samediff::Threads::parallel_for(func, 0, length, 1);
}
};
template<typename X>
template<typename OpClass>
void RandomFunction<X>::execTransform(Nd4jPointer state,
const void *vx, const Nd4jLong *xShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
void *vextraArguments) {
auto x = reinterpret_cast<const X *>(vx);
auto z = reinterpret_cast<X *>(vz);
auto extraArguments = reinterpret_cast<X *>(vextraArguments);
auto length = shape::length(zShapeInfo);
uint xShapeInfoCast[MAX_RANK];
const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
sd::graph::RandomGenerator* rng = reinterpret_cast<sd::graph::RandomGenerator*>(state);
if(shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo)) {
if(shape::elementWiseStride(zShapeInfo) == 1 && shape::elementWiseStride(xShapeInfo) == 1 && shape::order(xShapeInfo) == shape::order(zShapeInfo)){
auto func = PRAGMA_THREADS_FOR {
PRAGMA_OMP_SIMD
for (auto i = start; i < stop; i++) {
z[i] = OpClass::op(x[i], i, length, rng, extraArguments);
}
};
samediff::Threads::parallel_for(func, 0, length, 1);
}
else{
auto func = PRAGMA_THREADS_FOR {
PRAGMA_OMP_SIMD
for (auto i = start; i < stop; i++) {
auto offset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
z[offset] = OpClass::op(x[offset], i, length, rng, extraArguments);
}
};
samediff::Threads::parallel_for(func, 0, length, 1);
}
}
else {
uint zShapeInfoCast[MAX_RANK];
const bool canCastZ = sd::DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);
auto func = PRAGMA_THREADS_FOR {
PRAGMA_OMP_SIMD
for (auto i = start; i < stop; i++) {
auto xOffset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
auto zOffset = shape::indexOffset(i, zShapeInfo, zShapeInfoCast, canCastZ);
z[zOffset] = OpClass::op(x[xOffset], i, length, rng, extraArguments);
}
};
samediff::Threads::parallel_for(func, 0, length, 1);
}
}
template<typename X>
template<typename OpClass>
void RandomFunction<X>::execTransform(Nd4jPointer state, void *vz, const Nd4jLong *zShapeInfo, void *vextraArguments) {
auto z = reinterpret_cast<X *>(vz);
auto extraArguments = reinterpret_cast<X *>(vextraArguments);
auto length = shape::length(zShapeInfo);
sd::graph::RandomGenerator* rng = reinterpret_cast<sd::graph::RandomGenerator*>(state);
if(shape::elementWiseStride(zShapeInfo) == 1){
auto func = PRAGMA_THREADS_FOR {
PRAGMA_OMP_SIMD
for (auto i = start; i < stop; i++) {
z[i] = OpClass::op( i, length, rng, extraArguments);
}
};
samediff::Threads::parallel_for(func, 0, length, 1);
}
else{
sd::OmpLaunchHelper info(length);
uint zShapeInfoCast[MAX_RANK];
const bool canCastZ = sd::DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);
auto func = PRAGMA_THREADS_FOR {
PRAGMA_OMP_SIMD
for (auto i = start; i < stop; i++) {
auto offset = shape::indexOffset(i, zShapeInfo, zShapeInfoCast, canCastZ);
z[offset] = OpClass::op(i, length, rng, extraArguments);
}
};
samediff::Threads::parallel_for(func, 0, length, 1);
}
}
template<typename X>
void RandomFunction<X>::execTransform(int opNum, Nd4jPointer state, const void *x, const Nd4jLong *xShapeInfo, void *z, const Nd4jLong *zShapeInfo, void *extraArguments) {
DISPATCH_BY_OPNUM_T(execTransform, PARAMS(state, x, xShapeInfo, z, zShapeInfo, extraArguments), RANDOM_OPS)
}
template<typename X>
void RandomFunction<X>::execTransform(int opNum, Nd4jPointer state, const void *x, const Nd4jLong *xShapeInfo, const void *y, const Nd4jLong *yShapeInfo, void *z, const Nd4jLong *zShapeInfo, void *extraArguments) {
DISPATCH_BY_OPNUM_T(execTransform, PARAMS(state, x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, extraArguments), RANDOM_OPS)
}
template<typename X>
void RandomFunction<X>::execTransform(int opNum, Nd4jPointer state, void *z, const Nd4jLong *zShapeInfo, void *extraArguments) {
DISPATCH_BY_OPNUM_T(execTransform, PARAMS(state, z, zShapeInfo, extraArguments), RANDOM_OPS)
}
//BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT RandomFunction, , FLOAT_TYPES);
}
}