/*******************************************************************************
* 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 Yurii Shyrma (iuriish@yahoo.com), created on 18.09.2018
//
#include <ops/declarable/helpers/convolutions.h>
#include <execution/Threads.h>
namespace sd {
namespace ops {
//////////////////////////////////////////////////////////////////////////
template <typename T>
static void pooling2d_(sd::graph::Context& block, const NDArray& input, NDArray& output, 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 int poolingMode, const int extraParam0) {
// input is [bS, iC, iH, iW]
// output is [bS, iC, oH, oW]
T* out = output.bufferAsT<T>();
T* in = const_cast<NDArray&>(input).bufferAsT<T>();
const int kHEff = kH + (kH-1)*(dH-1);
const int kWEff = kW + (kW-1)*(dW-1);
const int bS = input.sizeAt(0);
const int iC = input.sizeAt(1);
const int iH = input.sizeAt(2);
const int iW = input.sizeAt(3);
const int oC = output.sizeAt(1);
const int oH = output.sizeAt(2);
const int oW = output.sizeAt(3);
nd4j_debug("MKL-DNN is not used for pooling2d!\n", 0);
const Nd4jLong iStride0 = input.stridesOf()[0];
const Nd4jLong iStride1 = input.stridesOf()[1];
const Nd4jLong iStride2 = input.stridesOf()[2];
const Nd4jLong iStride3 = input.stridesOf()[3];
const Nd4jLong oStride0 = output.stridesOf()[0];
const Nd4jLong oStride1 = output.stridesOf()[1];
const Nd4jLong oStride2 = output.stridesOf()[2];
const Nd4jLong oStride3 = output.stridesOf()[3];
const Nd4jLong iStep2 = dH*iStride2;
const Nd4jLong iStep3 = dW*iStride3;
const int kProd = kH*kW;
if(poolingMode == 0) { // max
auto func = PRAGMA_THREADS_FOR_2D {
Nd4jLong hstart, wstart, hend, wend;
T *pIn;
for (int b = start_x; b < stop_x; b += inc_x) {
for (int c = start_y; c < stop_y; c += inc_y) {
for (int oh = 0; oh < oH; ++oh) {
for (int ow = 0; ow < oW; ++ow) {
pIn = in + b * iStride0 + c * iStride1;
hstart = oh * sH - pH;
wstart = ow * sW - pW;
hend = hstart + kHEff;
wend = wstart + kWEff;
if (hstart < 0)
hstart += dH * ((-hstart + dH - 1) / dH); // (Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(-hstart) / static_cast<T>(dH));
if (wstart < 0)
wstart += dW * ((-wstart + dW - 1) / dW); //(Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(-wstart) / static_cast<T>(dW));
if (hend > iH)
hend -= dH * ((hend - iH + dH - 1) / dH); //(Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(hend-iH) / static_cast<T>(dH));
if (wend > iW)
wend -= dW * ((wend - iW + dW - 1) / dW); //(Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(wend-iW) / static_cast<T>(dW));
hstart *= iStride2;
hend *= iStride2;
wstart *= iStride3;
wend *= iStride3;
T max = -DataTypeUtils::max<T>();
for (Nd4jLong kh = hstart; kh < hend; kh += iStep2)
for (Nd4jLong kw = wstart; kw < wend; kw += iStep3) {
T val = pIn[kh + kw];
if (val > max)
max = val;
}
out[b * oStride0 + c * oStride1 + oh * oStride2 + ow * oStride3] = max;
}
}
}
}
};
samediff::Threads::parallel_for(func, 0, bS, 1, 0, iC, 1);
}
/*************************************************************************/
else if(poolingMode == 1) { // avg
auto func = PRAGMA_THREADS_FOR_2D {
Nd4jLong hstart, wstart, hend, wend;
T *pIn;
for (int b = start_x; b < stop_x; b += inc_x) {
for (int c = start_y; c < stop_y; c += inc_y) {
for (int oh = 0; oh < oH; ++oh) {
for (int ow = 0; ow < oW; ++ow) {
pIn = in + b * iStride0 + c * iStride1;
hstart = oh * sH - pH;
wstart = ow * sW - pW;
hend = hstart + kHEff;
wend = wstart + kWEff;
if (hstart < 0)
hstart += dH * ((-hstart + dH - 1) / dH); // (Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(-hstart) / static_cast<T>(dH));
if (wstart < 0)
wstart += dW * ((-wstart + dW - 1) / dW); //(Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(-wstart) / static_cast<T>(dW));
if (hend > iH)
hend -= dH * ((hend - iH + dH - 1) / dH); //(Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(hend-iH) / static_cast<T>(dH));
if (wend > iW)
wend -= dW * ((wend - iW + dW - 1) / dW); //(Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(wend-iW) / static_cast<T>(dW));
hstart *= iStride2;
hend *= iStride2;
wstart *= iStride3;
wend *= iStride3;
T sum = static_cast<T>(0.f);
for (Nd4jLong kh = hstart; kh < hend; kh += iStep2)
for (Nd4jLong kw = wstart; kw < wend; kw += iStep3)
sum += pIn[kh + kw];
if (extraParam0 == 0) { //Exclude padding
int a = (hend - hstart) / iStep2 + ((hend - hstart) % iStep2 == 0 ? 0 : 1);
int r = (wend - wstart) / iStep3 + ((wend - wstart) % iStep3 == 0 ? 0 : 1);
sum /= static_cast<T>(a * r); // Accounts for dilation
} else if (extraParam0 == 1) //Include padding
sum /= kProd;
out[b * oStride0 + c * oStride1 + oh * oStride2 + ow * oStride3] = sum;
}
}
}
}
};
samediff::Threads::parallel_for(func, 0, bS, 1, 0, iC, 1);
}
/*************************************************************************/
else if(poolingMode == 2) { // pnorm
auto func = PRAGMA_THREADS_FOR_2D {
Nd4jLong hstart, wstart, hend, wend;
T *pIn;
for (int b = start_x; b < stop_x; b += inc_x) {
for (int c = start_y; c < stop_y; c += inc_y) {
for (int oh = 0; oh < oH; ++oh) {
for (int ow = 0; ow < oW; ++ow) {
pIn = in + b * iStride0 + c * iStride1;
hstart = oh * sH - pH;
wstart = ow * sW - pW;
hend = hstart + kHEff;
wend = wstart + kWEff;
if (hstart < 0)
hstart += dH * ((-hstart + dH - 1) / dH); // (Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(-hstart) / static_cast<T>(dH));
if (wstart < 0)
wstart += dW * ((-wstart + dW - 1) / dW); //(Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(-wstart) / static_cast<T>(dW));
if (hend > iH)
hend -= dH * ((hend - iH + dH - 1) / dH); //(Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(hend-iH) / static_cast<T>(dH));
if (wend > iW)
wend -= dW * ((wend - iW + dW - 1) / dW); //(Nd4jLong)sd::math::nd4j_ceil<T,T>(static_cast<T>(wend-iW) / static_cast<T>(dW));
hstart *= iStride2;
hend *= iStride2;
wstart *= iStride3;
wend *= iStride3;
T sum = static_cast<T>(0.f);
for (Nd4jLong kh = hstart; kh < hend; kh += iStep2)
for (Nd4jLong kw = wstart; kw < wend; kw += iStep3)
sum += sd::math::nd4j_pow<T, T, T>(sd::math::nd4j_abs<T>(pIn[kh + kw]), extraParam0);
sum = sd::math::nd4j_pow<T, T, T>(sum, static_cast<T>((T) 1.f) / extraParam0);
out[b * oStride0 + c * oStride1 + oh * oStride2 + ow * oStride3] = sum;
}
}
}
}
};
samediff::Threads::parallel_for(func, 0, bS, 1, 0, iC, 1);
}
else {
nd4j_printf("ConvolutionUtils::pooling2d: pooling mode argument can take three values only: 0, 1, 2, but got %i instead !\n", poolingMode);
throw "";
}
}
void ConvolutionUtils::pooling2d(sd::graph::Context& block, const NDArray& input, NDArray& output, 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 PoolingType poolingMode, const int extraParam0) {
BUILD_SINGLE_SELECTOR(input.dataType(), pooling2d_, (block, input, output, kH, kW, sH, sW, pH, pW, dH, dW, poolingMode, extraParam0), FLOAT_TYPES);
}
}
}