108 lines
4.2 KiB
Plaintext
108 lines
4.2 KiB
Plaintext
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// Created by raver119 on 30.11.17.
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//
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#include <ops/declarable/helpers/im2col.h>
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#include <PointersManager.h>
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namespace nd4j {
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namespace ops {
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namespace helpers {
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//////////////////////////////////////////////////////////////////////////
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// input [bS, iC, iH, iW] is convoluted to output [bS, iC, kH, kW, oH, oW]
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template <typename T>
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__global__ static void im2colCuda(const void *image, void *columns,
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const Nd4jLong *imShapeInfo, const Nd4jLong *colShapeInfo,
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const int sH, const int sW,
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const int pH, const int pW,
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const int dH, const int dW,
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const double zeroPadValD) {
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T zeroPadVal = static_cast<T>(zeroPadValD); //Value to use when value is padding. Usually 0 but not always
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const auto im = reinterpret_cast<const T*>(image);
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auto col = reinterpret_cast<T*>(columns);
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__shared__ Nd4jLong colLen, *sharedMem, iH, iW;
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__shared__ int imRank, colRank;
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if (threadIdx.x == 0) {
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extern __shared__ unsigned char shmem[];
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sharedMem = reinterpret_cast<Nd4jLong*>(shmem);
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colRank = 6;
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imRank = 4;
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colLen = shape::length(colShapeInfo);
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iH = imShapeInfo[3];
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iW = imShapeInfo[4];
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}
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__syncthreads();
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const auto colInd = threadIdx.x + blockIdx.x * blockDim.x;
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if(colInd >= colLen)
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return;
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auto coords = sharedMem + threadIdx.x * colRank;
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shape::index2coords(colInd, colShapeInfo, coords);
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const auto colOffset = shape::getOffset(colShapeInfo, coords);
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coords[2] = (-pH + coords[2] * dH) + coords[4] * sH; // imH
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coords[3] = (-pW + coords[3] * dW) + coords[5] * sW; // imW
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if (static_cast<unsigned>(coords[2]) >= static_cast<unsigned>(iH) || static_cast<unsigned>(coords[3]) >= static_cast<unsigned>(iW))
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col[colOffset] = zeroPadVal;
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else
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col[colOffset] = im[shape::getOffset(imShapeInfo, coords)];
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}
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//////////////////////////////////////////////////////////////////////////
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template <typename T>
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static void im2colCudaLauncher(const int blocksPerGrid, const int threadsPerBlock, nd4j::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) {
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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);
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}
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//////////////////////////////////////////////////////////////////////////
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void im2col(nd4j::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) {
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PointersManager manager(&context, "im2col");
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const int threadsPerBlock = 512;
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const int blocksPerGrid = (columns.lengthOf() + threadsPerBlock - 1) / threadsPerBlock;
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NDArray::prepareSpecialUse({&columns}, {&image});
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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);
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NDArray::registerSpecialUse({&columns}, {&image});
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manager.synchronize();
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}
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}
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}
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} |