wehub-resource-sync
318 lines
13 KiB
C++
318 lines
13 KiB
C++
/* ******************************************************************************
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*
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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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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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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// @author Yurii Shyrma (iuriish@yahoo.com), created on 18.09.2018
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//
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#include <execution/Threads.h>
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#include <ops/declarable/helpers/convolutions.h>
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namespace sd {
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namespace ops {
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//////////////////////////////////////////////////////////////////////////
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template <typename T>
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static void pooling2dBP_(sd::graph::Context& block, NDArray& input, NDArray& gradO, NDArray& gradI,
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const LongType kH, const LongType kW, const LongType sH, const LongType sW, const LongType pH, const LongType pW,
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const LongType dH, const LongType dW, const int poolingMode, const int extraParam0) {
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// input [bS, iC, iH, iW]
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// gradI [bS, iC, iH, iW] -> gradI is output in this function
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// gradO [bS, iC, oH, oW]
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// initial zeroing of gradI
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gradI.nullify();
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T* in = const_cast<NDArray&>(input).bufferAsT<T>();
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T* gO = const_cast<NDArray&>(gradO).bufferAsT<T>();
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T* gI = gradI.bufferAsT<T>();
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const int kHEff = kH + (kH - 1) * (dH - 1);
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const int kWEff = kW + (kW - 1) * (dW - 1);
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const int bS = gradI.sizeAt(0);
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const int iC = gradI.sizeAt(1);
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const int iH = gradI.sizeAt(2);
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const int iW = gradI.sizeAt(3);
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const int oC = gradO.sizeAt(1);
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const int oH = gradO.sizeAt(2);
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const int oW = gradO.sizeAt(3);
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// sd_debug("MKL-DNN is not used for pooling2d_bp!\n", 0);
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const sd::LongType iStride0 = input.stridesOf()[0];
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const sd::LongType iStride1 = input.stridesOf()[1];
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const sd::LongType iStride2 = input.stridesOf()[2];
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const sd::LongType iStride3 = input.stridesOf()[3];
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const sd::LongType gIStride0 = gradI.stridesOf()[0];
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const sd::LongType gIStride1 = gradI.stridesOf()[1];
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const sd::LongType gIStride2 = gradI.stridesOf()[2];
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const sd::LongType gIStride3 = gradI.stridesOf()[3];
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const sd::LongType oStride0 = gradO.stridesOf()[0];
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const sd::LongType oStride1 = gradO.stridesOf()[1];
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const sd::LongType oStride2 = gradO.stridesOf()[2];
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const sd::LongType oStride3 = gradO.stridesOf()[3];
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const sd::LongType iStep2 = dH * iStride2;
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const sd::LongType iStep3 = dW * iStride3;
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const sd::LongType gIStep2 = dH * gIStride2;
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const sd::LongType gIStep3 = dW * gIStride3;
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const int kProd = kH * kW;
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const bool sameStrides =
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iStride0 == gIStride0 && iStride1 == gIStride1 && iStride2 == gIStride2 && iStride3 == gIStride3;
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if (poolingMode == 0) { // max
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auto func = PRAGMA_THREADS_FOR_2D {
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sd::LongType hstart, wstart, hend, wend, maxKH, maxKW;
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T sum, valO, *pIn, *pgI;
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for (int b = start_x; b < stop_x; b += inc_x) {
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for (int c = start_y; c < stop_y; c += inc_y) {
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for (int oh = 0; oh < oH; ++oh) {
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for (int ow = 0; ow < oW; ++ow) {
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pIn = in + b * iStride0 + c * iStride1;
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hstart = oh * sH - pH;
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wstart = ow * sW - pW;
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hend = hstart + kHEff;
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wend = wstart + kWEff;
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if (hstart < 0)
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hstart +=
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dH * ((-hstart + dH - 1) /
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dH);
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if (wstart < 0)
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wstart +=
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dW * ((-wstart + dW - 1) /
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dW);
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if (hend > iH)
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hend -=
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dH * ((hend - iH + dH - 1) /
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dH);
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if (wend > iW)
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wend -=
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dW * ((wend - iW + dW - 1) /
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dW);
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sum = -DataTypeUtils::max<T>();
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valO = gO[b * oStride0 + c * oStride1 + oh * oStride2 + ow * oStride3];
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if (sameStrides) {
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hstart *= iStride2;
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hend *= iStride2;
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wstart *= iStride3;
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wend *= iStride3;
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// we set these to default values
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maxKH = hstart;
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maxKW = wstart;
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for (sd::LongType kh = hstart; kh < hend; kh += iStep2)
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for (sd::LongType kw = wstart; kw < wend; kw += iStep3) {
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T valIn = pIn[kh + kw];
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if (valIn > sum) {
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sum = valIn;
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maxKH = kh;
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maxKW = kw;
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}
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}
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gI[pIn - in + maxKH + maxKW] += valO;
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} else {
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// we set these to default values
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maxKH = hstart;
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maxKW = wstart;
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for (sd::LongType kh = hstart; kh < hend; kh += dH)
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for (sd::LongType kw = wstart; kw < wend; kw += dW) {
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T valIn = pIn[kh * iStride2 + kw * iStride3];
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if (valIn > sum) {
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sum = valIn;
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maxKH = kh;
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maxKW = kw;
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}
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}
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gI[b * gIStride0 + c * gIStride1 + maxKH * gIStride2 + maxKW * gIStride3] += valO;
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}
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}
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}
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}
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}
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};
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samediff::Threads::parallel_for(func, 0, bS, 1, 0, iC, 1);
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}
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/*************************************************************************/
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else if (poolingMode == 1) { // avg
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auto func = PRAGMA_THREADS_FOR_2D {
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sd::LongType hstart, wstart, hend, wend, maxKH, maxKW;
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T sum, valO, *pIn, *pgI;
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for (int b = start_x; b < stop_x; b += inc_x) {
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for (int c = start_y; c < stop_y; c += inc_y) {
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for (int oh = 0; oh < oH; ++oh) {
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for (int ow = 0; ow < oW; ++ow) {
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pgI = gI + b * gIStride0 + c * gIStride1;
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hstart = oh * sH - pH;
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wstart = ow * sW - pW;
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hend = hstart + kHEff;
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wend = wstart + kWEff;
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if (hstart < 0)
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hstart +=
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dH * ((-hstart + dH - 1) /
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dH); // (sd::LongType)sd::math::sd_ceil<T,T>(static_cast<T>(-hstart) / static_cast<T>(dH));
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if (wstart < 0)
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wstart +=
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dW * ((-wstart + dW - 1) /
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dW); //(sd::LongType)sd::math::sd_ceil<T,T>(static_cast<T>(-wstart) / static_cast<T>(dW));
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if (hend > iH)
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hend -=
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dH * ((hend - iH + dH - 1) /
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dH); //(sd::LongType)sd::math::sd_ceil<T,T>(static_cast<T>(hend-iH) / static_cast<T>(dH));
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if (wend > iW)
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wend -=
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dW * ((wend - iW + dW - 1) /
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dW); //(sd::LongType)sd::math::sd_ceil<T,T>(static_cast<T>(wend-iW) / static_cast<T>(dW));
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hstart *= gIStride2;
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hend *= gIStride2;
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wstart *= gIStride3;
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wend *= gIStride3;
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valO = gO[b * oStride0 + c * oStride1 + oh * oStride2 + ow * oStride3];
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if ((int)extraParam0 == 0) // Exclude padding
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valO /=
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static_cast<T>(sd::math::sd_ceil<double, T>(static_cast<double>(hend - hstart) /
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static_cast<double>(gIStep2))) *
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static_cast<T>(sd::math::sd_ceil<double, T>(
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static_cast<double>(wend - wstart) / static_cast<double>(gIStep3))); // Accounts for dilation
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else if ((int)extraParam0 == 1) // Include padding
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valO /= kProd;
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for (sd::LongType kh = hstart; kh < hend; kh += gIStep2)
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for (sd::LongType kw = wstart; kw < wend; kw += gIStep3) pgI[kh + kw] += valO;
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}
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}
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}
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}
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};
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samediff::Threads::parallel_for(func, 0, bS, 1, 0, iC, 1);
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}
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/*************************************************************************/
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else if (poolingMode == 2) { // pnorm
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auto func = PRAGMA_THREADS_FOR_2D {
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sd::LongType hstart, wstart, hend, wend, maxKH, maxKW;
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T sum, valO, *pIn, *pgI;
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for (int b = start_x; b < stop_x; b += inc_x) {
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for (int c = start_y; c < stop_y; c += inc_y) {
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for (int oh = 0; oh < oH; ++oh) {
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for (int ow = 0; ow < oW; ++ow) {
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pIn = in + b * iStride0 + c * iStride1;
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pgI = sameStrides ? gI + (pIn - in) : gI + b * gIStride0 + c * gIStride1;
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hstart = oh * sH - pH;
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wstart = ow * sW - pW;
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hend = hstart + kHEff;
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wend = wstart + kWEff;
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if (hstart < 0)
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hstart +=
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dH * ((-hstart + dH - 1) /
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dH); // (sd::LongType)sd::math::sd_ceil<T,T>(static_cast<T>(-hstart) / static_cast<T>(dH));
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if (wstart < 0)
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wstart +=
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dW * ((-wstart + dW - 1) /
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dW); //(sd::LongType)sd::math::sd_ceil<T,T>(static_cast<T>(-wstart) / static_cast<T>(dW));
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if (hend > iH)
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hend -=
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dH * ((hend - iH + dH - 1) /
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dH); //(sd::LongType)sd::math::sd_ceil<T,T>(static_cast<T>(hend-iH) / static_cast<T>(dH));
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if (wend > iW)
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wend -=
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dW * ((wend - iW + dW - 1) /
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dW); //(sd::LongType)sd::math::sd_ceil<T,T>(static_cast<T>(wend-iW) / static_cast<T>(dW));
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sum = static_cast<T>(0.f);
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valO = gO[b * oStride0 + c * oStride1 + oh * oStride2 + ow * oStride3];
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if (sameStrides) {
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hstart *= iStride2;
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hend *= iStride2;
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wstart *= iStride3;
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wend *= iStride3;
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for (sd::LongType kh = hstart; kh < hend; kh += iStep2)
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for (sd::LongType kw = wstart; kw < wend; kw += iStep3)
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sum += sd::math::sd_pow<T, T, T>(sd::math::sd_abs<T,T>(pIn[kh + kw]), static_cast<T>(extraParam0));
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valO *= sd::math::sd_pow<T, T, T>(sum, ((T)1. - extraParam0) / extraParam0);
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for (sd::LongType kh = hstart; kh < hend; kh += iStep2)
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for (sd::LongType kw = wstart; kw < wend; kw += iStep3)
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pgI[kh + kw] += valO *
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sd::math::sd_pow<T, T, T>(sd::math::sd_abs<T,T>(pIn[kh + kw]), static_cast<T>(extraParam0) - 1.f) *
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sd::math::sd_sgn<T, T>(pIn[kh + kw]);
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} else {
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for (sd::LongType kh = hstart; kh < hend; kh += dH)
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for (sd::LongType kw = wstart; kw < wend; kw += dW)
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sum +=
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sd::math::sd_pow<T, T, T>(sd::math::sd_abs<T,T>(pIn[kh * iStride2 + kw * iStride3]), static_cast<T>(extraParam0));
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valO *= sd::math::sd_pow<T, T, T>(sum, ((T)1. - extraParam0) / extraParam0);
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for (sd::LongType kh = hstart; kh < hend; kh += dH) {
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for (sd::LongType kw = wstart; kw < wend; kw += dW) {
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const auto inVal = pIn[kh * iStride2 + kw * iStride3];
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pgI[kh * gIStride2 + kw * gIStride3] +=
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valO * sd::math::sd_pow<T, T, T>(sd::math::sd_abs<T,T>(inVal), static_cast<T>(extraParam0) - static_cast<T>(1.f)) *
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sd::math::sd_sgn<T, T>(inVal);
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}
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}
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}
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}
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}
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}
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}
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};
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samediff::Threads::parallel_for(func, 0, bS, 1, 0, iC, 1);
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} else {
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sd_printf(
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"ConvolutionUtils::pooling2dBP: pooling mode argument can take three values only: 0, 1, 2, but got %i instead "
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"!\n",
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poolingMode);
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THROW_EXCEPTION("Incorrect pooling2dBP mode");
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}
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}
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void ConvolutionUtils::pooling2dBP(sd::graph::Context& block, NDArray& input, NDArray& gradO,
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NDArray& gradI, const LongType kH, const LongType kW, const LongType sH, const LongType sW, const LongType pH,
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const LongType pW, const LongType dH, const LongType dW, const int poolingMode,
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const int extraParam0) {
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BUILD_SINGLE_SELECTOR(input.dataType(), pooling2dBP_,
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(block, input, gradO, gradI, kH, kW, sH, sW, pH, pW, dH, dW, poolingMode, extraParam0),
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SD_NUMERIC_TYPES);
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}
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} // namespace ops
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} // namespace sd
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