cavis/libnd4j/include/ops/declarable/helpers/cuda/im2col.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
******************************************************************************/
//
// Created by raver119 on 30.11.17.
//
#include <ops/declarable/helpers/im2col.h>
#include <helpers/PointersManager.h>
namespace sd {
namespace ops {
namespace helpers {
//////////////////////////////////////////////////////////////////////////
// input [bS, iC, iH, iW] is convoluted to output [bS, iC, kH, kW, oH, oW]
template <typename T>
__global__ static void im2colCuda(const void *image, void *columns,
const Nd4jLong *imShapeInfo, const Nd4jLong *colShapeInfo,
const int sH, const int sW,
const int pH, const int pW,
const int dH, const int dW,
const double zeroPadValD) {
T zeroPadVal = static_cast<T>(zeroPadValD); //Value to use when value is padding. Usually 0 but not always
const auto im = reinterpret_cast<const T*>(image);
auto col = reinterpret_cast<T*>(columns);
__shared__ Nd4jLong colLen, *sharedMem, iH, iW;
__shared__ int imRank, colRank;
if (threadIdx.x == 0) {
extern __shared__ unsigned char shmem[];
sharedMem = reinterpret_cast<Nd4jLong*>(shmem);
colRank = 6;
imRank = 4;
colLen = shape::length(colShapeInfo);
iH = imShapeInfo[3];
iW = imShapeInfo[4];
}
__syncthreads();
const auto colInd = threadIdx.x + blockIdx.x * blockDim.x;
if(colInd >= colLen)
return;
auto coords = sharedMem + threadIdx.x * colRank;
shape::index2coords(colInd, colShapeInfo, coords);
const auto colOffset = shape::getOffset(colShapeInfo, coords);
coords[2] = (-pH + coords[2] * dH) + coords[4] * sH; // imH
coords[3] = (-pW + coords[3] * dW) + coords[5] * sW; // imW
if (static_cast<unsigned>(coords[2]) >= static_cast<unsigned>(iH) || static_cast<unsigned>(coords[3]) >= static_cast<unsigned>(iW))
col[colOffset] = zeroPadVal;
else
col[colOffset] = im[shape::getOffset(imShapeInfo, coords)];
}
//////////////////////////////////////////////////////////////////////////
template <typename T>
static void im2colCudaLauncher(const int blocksPerGrid, const int threadsPerBlock, sd::LaunchContext & context, const void *image, void *columns, const Nd4jLong *imShapeInfo, const Nd4jLong *colShapeInfo, int sH, int sW, int pH, int pW, int dH, int dW, double zeroPadVal) {
im2colCuda<T><<<blocksPerGrid, threadsPerBlock, threadsPerBlock * sizeof(Nd4jLong) * 6 /* rank of columns = 6 */, *context.getCudaStream()>>>(image, columns, imShapeInfo, colShapeInfo, sH, sW, pH, pW, dH, dW, zeroPadVal);
}
//////////////////////////////////////////////////////////////////////////
void im2col(sd::LaunchContext& context, const NDArray& image, NDArray& columns, const int kH, const int kW, const int sH, const int sW, const int pH, const int pW, const int dH, const int dW, const NDArray& arrZeroPadVal) {
PointersManager manager(&context, "im2col");
const int threadsPerBlock = 512;
const int blocksPerGrid = (columns.lengthOf() + threadsPerBlock - 1) / threadsPerBlock;
NDArray::prepareSpecialUse({&columns}, {&image});
BUILD_SINGLE_SELECTOR(columns.dataType(), im2colCudaLauncher, (blocksPerGrid, threadsPerBlock, context, image.getSpecialBuffer(), columns.getSpecialBuffer(), image.getSpecialShapeInfo(), columns.getSpecialShapeInfo(), sH, sW, pH, pW, dH, dW, arrZeroPadVal.e<double>(0)), FLOAT_TYPES);
NDArray::registerSpecialUse({&columns}, {&image});
manager.synchronize();
}
}
}
}