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// Copyright 2019 Yan Yan
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://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.
#ifndef INDICE_CU_H_
#define INDICE_CU_H_
#include <utils/spconv/spconv/geometry.h>
#include <utils/spconv/tensorview/tensorview.h>
#include <utils/spconv/tensorview/helper_kernel.cuh>
template <typename Index, typename IndexGrid, unsigned NDim,
int KernelMaxVolume = 256>
__global__ void prepareIndicePairsKernel(
tv::TensorView<const Index> indicesIn, tv::TensorView<Index> indicesOut,
tv::TensorView<IndexGrid> gridsOut, tv::TensorView<Index> indicePairs,
tv::TensorView<Index> indiceNum, tv::TensorView<Index> indicePairUnique,
const tv::SimpleVector<Index, NDim> kernelSize,
const tv::SimpleVector<Index, NDim> stride,
const tv::SimpleVector<Index, NDim> padding,
const tv::SimpleVector<Index, NDim> dilation,
const tv::SimpleVector<Index, NDim> outSpatialShape) {
auto numActIn = indicesIn.dim(0);
Index spatialVolume = 1;
#pragma unroll
for (int i = 0; i < NDim; ++i) {
spatialVolume *= outSpatialShape[i];
}
Index kernelVolume = 1;
#pragma unroll
for (int i = 0; i < NDim; ++i) {
kernelVolume *= kernelSize[i];
}
Index numValidPoints = 0;
Index validPoints[KernelMaxVolume * (NDim + 1)];
Index *pointPtr = nullptr;
auto indicePairsDim2 = indicePairs.dim(2);
Index index;
for (int ix : tv::KernelLoopX<int>(numActIn)) {
numValidPoints = getValidOutPos<Index, NDim>(
indicesIn.data() + ix * (NDim + 1) + 1, kernelSize.data(),
stride.data(), padding.data(), dilation.data(), outSpatialShape.data(),
validPoints);
for (Index i = 0; i < numValidPoints; ++i) {
pointPtr = validPoints + i * (NDim + 1);
auto offset = pointPtr[NDim];
auto oldNum = atomicAdd(indiceNum.data() + offset, Index(1));
indicePairs(offset, 0, oldNum) = ix;
index = tv::rowArrayIdx<Index, NDim>(pointPtr, outSpatialShape.data()) +
spatialVolume * indicesIn(ix, 0);
indicePairs(offset, 1, oldNum) = index;
indicePairUnique[offset * indicePairsDim2 + oldNum] = index;
}
}
}
template <typename Index, typename IndexGrid, unsigned NDim,
int KernelMaxVolume = 256>
__global__ void prepareDeConvIndicePairsKernel(
tv::TensorView<const Index> indicesIn, tv::TensorView<Index> indicesOut,
tv::TensorView<IndexGrid> gridsOut, tv::TensorView<Index> indicePairs,
tv::TensorView<Index> indiceNum, tv::TensorView<Index> indicePairUnique,
const tv::SimpleVector<Index, NDim> kernelSize,
const tv::SimpleVector<Index, NDim> stride,
const tv::SimpleVector<Index, NDim> padding,
const tv::SimpleVector<Index, NDim> dilation,
const tv::SimpleVector<Index, NDim> outSpatialShape) {
auto numActIn = indicesIn.dim(0);
Index spatialVolume = 1;
#pragma unroll
for (int i = 0; i < NDim; ++i) {
spatialVolume *= outSpatialShape[i];
}
Index kernelVolume = 1;
#pragma unroll
for (int i = 0; i < NDim; ++i) {
kernelVolume *= kernelSize[i];
}
Index numValidPoints = 0;
Index validPoints[KernelMaxVolume * (NDim + 1)];
Index *pointPtr = nullptr;
auto indicePairsDim2 = indicePairs.dim(2);
Index index;
for (int ix : tv::KernelLoopX<int>(numActIn)) {
numValidPoints = getValidOutPosTranspose<Index, NDim>(
indicesIn.data() + ix * (NDim + 1) + 1, kernelSize.data(),
stride.data(), padding.data(), dilation.data(), outSpatialShape.data(),
validPoints);
for (Index i = 0; i < numValidPoints; ++i) {
pointPtr = validPoints + i * (NDim + 1);
auto offset = pointPtr[NDim];
auto oldNum = atomicAdd(indiceNum.data() + offset, Index(1));
indicePairs(offset, 0, oldNum) = ix;
index = tv::rowArrayIdx<Index, NDim>(pointPtr, outSpatialShape.data()) +
spatialVolume * indicesIn(ix, 0);
indicePairs(offset, 1, oldNum) = index;
indicePairUnique[offset * indicePairsDim2 + oldNum] = index;
}
}
}
template <typename Index, typename IndexGrid, unsigned NDim>
__global__ void assignGridAndIndiceOutKernel(
tv::TensorView<Index> indicesOut, tv::TensorView<IndexGrid> gridsOut,
int numAct, tv::TensorView<Index> indicePairs,
tv::TensorView<Index> indicePairUnique,
const tv::SimpleVector<Index, NDim> outSpatialShape, int batchSize) {
Index index;
auto indicesOutPtr = indicesOut.data();
for (int ix : tv::KernelLoopX<int>(numAct)) {
index = indicePairUnique[ix];
gridsOut[index] = ix;
index = tv::rowArrayIdxInv<Index, NDim>(
index, indicesOutPtr + ix * (NDim + 1) + 1, outSpatialShape.data());
indicesOut[ix * (NDim + 1)] = index % batchSize;
}
}
template <typename Index, typename IndexGrid, unsigned NDim>
__global__ void assignIndicePairsKernel(
tv::TensorView<Index> indicesOut, tv::TensorView<IndexGrid> gridsOut,
int numActIn, tv::TensorView<Index> indicePairs,
tv::TensorView<Index> indicePairUnique,
const tv::SimpleVector<Index, NDim> outSpatialShape) {
Index index;
int kernelVolume = indicePairs.dim(0);
for (int ix : tv::KernelLoopX<int>(numActIn)) {
for (int i = 0; i < kernelVolume; ++i) {
index = indicePairs(i, 1, ix);
if (index > -1) {
indicePairs(i, 1, ix) = gridsOut[index];
}
}
}
}
template <typename Index, typename IndexGrid, unsigned NDim>
__global__ void prepareSubMGridKernel(
tv::TensorView<const Index> indicesIn, tv::TensorView<IndexGrid> gridsOut,
const tv::SimpleVector<Index, NDim> outSpatialShape) {
auto numActIn = indicesIn.dim(0);
Index spatialVolume = 1;
#pragma unroll
for (int i = 0; i < NDim; ++i) {
spatialVolume *= outSpatialShape[i];
}
Index index = 0;
for (int ix : tv::KernelLoopX<int>(numActIn)) {
index = tv::rowArrayIdx<Index, NDim>(indicesIn.data() + ix * (NDim + 1) + 1,
outSpatialShape.data()) +
spatialVolume * indicesIn(ix, 0);
gridsOut[index] = ix;
}
}
template <typename Index, typename IndexGrid, unsigned NDim,
int KernelMaxVolume = 256>
__global__ void getSubMIndicePairsKernel(
tv::TensorView<const Index> indicesIn, tv::TensorView<IndexGrid> gridsOut,
tv::TensorView<Index> indicePairs, tv::TensorView<Index> indiceNum,
const tv::SimpleVector<Index, NDim> kernelSize,
const tv::SimpleVector<Index, NDim> stride,
const tv::SimpleVector<Index, NDim> padding,
const tv::SimpleVector<Index, NDim> dilation,
const tv::SimpleVector<Index, NDim> outSpatialShape) {
auto numActIn = indicesIn.dim(0);
Index spatialVolume = 1;
#pragma unroll
for (int i = 0; i < NDim; ++i) {
spatialVolume *= outSpatialShape[i];
}
Index numValidPoints = 0;
Index validPoints[KernelMaxVolume * (NDim + 1)];
Index *pointPtr = nullptr;
Index index = 0;
for (int ix : tv::KernelLoopX<int>(numActIn)) {
numValidPoints = getValidOutPos<Index, NDim>(
indicesIn.data() + ix * (NDim + 1) + 1, kernelSize.data(),
stride.data(), padding.data(), dilation.data(), outSpatialShape.data(),
validPoints);
for (int i = 0; i < numValidPoints; ++i) {
pointPtr = validPoints + i * (NDim + 1);
auto offset = pointPtr[NDim];
index = tv::rowArrayIdx<Index, NDim>(pointPtr, outSpatialShape.data()) +
spatialVolume * indicesIn(ix, 0);
if (gridsOut[index] > -1) {
auto oldNum = atomicAdd(indiceNum.data() + offset, Index(1));
indicePairs(offset, 1, oldNum) = gridsOut[index];
indicePairs(offset, 0, oldNum) = ix;
}
}
}
}
template <typename Index, typename IndexGrid, unsigned NDim>
__global__ void resetGridKernel(const Index *indicePairUnique,
tv::TensorView<IndexGrid> gridsOut,
int numAct) {
for (int ix : tv::KernelLoopX<int>(numAct)) {
gridsOut[indicePairUnique[ix]] = -1;
}
}
template <typename Index, typename IndexGrid, unsigned NDim>
__global__ void resetGridSubMKernel(
const Index *indices, tv::TensorView<IndexGrid> gridsOut,
const tv::SimpleVector<Index, NDim> outSpatialShape, int numAct) {
int outSpatialShapeReg[NDim];
for (int i = 0; i < NDim; ++i) {
outSpatialShapeReg[i] = outSpatialShape[i];
}
Index spatialVolume = 1;
auto indsPtr = indices;
#pragma unroll
for (int i = 0; i < NDim; ++i) {
spatialVolume *= outSpatialShape[i];
}
Index index;
for (int ix : tv::KernelLoopX<int>(numAct)) {
indsPtr = indices + ix * (NDim + 1);
index = tv::rowArrayIdx<Index, NDim>(indsPtr + 1, outSpatialShapeReg);
gridsOut[index + spatialVolume * indsPtr[0]] = -1;
}
}
#endif
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