cavis/libnd4j/include/ops/declarable/platform/armcompute/avgpooling2d.cpp

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/*
* ******************************************************************************
* *
* *
* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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 Abdelrauf (rauf@konduit.ai) 2020
#include <ops/declarable/PlatformHelper.h>
#include <ops/declarable/OpRegistrator.h>
#include <system/platform_boilerplate.h>
#include <ops/declarable/helpers/convolutions.h>
#include "armcomputeUtils.h"
namespace sd {
namespace ops {
namespace platforms {
//////////////////////////////////////////////////////////////////////////
PLATFORM_IMPL(avgpool2d, ENGINE_CPU) {
auto input = INPUT_VARIABLE(0);
auto output = OUTPUT_VARIABLE(0);
// 0,1 - kernel Height/Width; 2,3 - stride Height/Width; 4,5 - pad Height/Width; 6,7 - dilation Height/Width; 8 - same mode;
const auto kH = INT_ARG(0);
const auto kW = INT_ARG(1);
const auto sH = INT_ARG(2);
const auto sW = INT_ARG(3);
auto pH = INT_ARG(4);
auto pW = INT_ARG(5);
const auto dH = INT_ARG(6);
const auto dW = INT_ARG(7);
const auto paddingMode = INT_ARG(8);
const auto extraParam0 = INT_ARG(9);
const int isNCHW = block.getIArguments()->size() > 10 ? !INT_ARG(10) : 1; // INT_ARG(10): 0-NCHW, 1-NHWC
REQUIRE_TRUE(input->rankOf() == 4, 0, "AVGPOOL2D ARMCOMPUTE op: input should have rank of 4, but got %i instead", input->rankOf());
REQUIRE_TRUE(dH != 0 && dW != 0, 0, "AVGPOOL2D ARMCOMPUTE op: dilation must not be zero, but got instead {%i, %i}", dH, dW);
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bool excludePadding= (extraParam0 == 0) ? true : false;
auto dataLayout = isNCHW ? arm_compute::DataLayout::NCHW : arm_compute::DataLayout::NHWC;
// Calculate individual paddings
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unsigned int padLeft, padTop, padRight, padBottom;
int bS, iC, iH, iW, oC, oH, oW; // batch size, input channels, input height/width, output channels, output height/width;
int indIOioC, indIiH, indWoC, indWiC, indWkH, indOoH; // corresponding indexes
ConvolutionUtils::getSizesAndIndexesConv2d(isNCHW, 0, *input, *output, bS, iC, iH, iW, oC, oH, oW, indIOioC, indIiH, indWiC, indWoC, indWkH, indOoH);
if(paddingMode){
ConvolutionUtils::calcPadding2D(pH, pW, oH, oW, iH, iW, kH, kW, sH, sW, dH, dW);
}
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padLeft = pW;
padTop = pH;
padRight = (oW - 1) * sW - iW + kW - pW ;
padBottom = (oH - 1) * sH - iH + kH - pH ;
#if 0
nd4j_printf("avgpool kH = %d, kW = %d, sH = %d, sW = %d , pH = %d , pW = %d, dH = %d, dW = %d, paddingMode = %d , isNCHW %d exclude pad %d \n" , kH , kW , sH , sW , pH
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, pW , dH , dW , paddingMode,isNCHW?1:0 ,excludePadding?1:0);
#endif
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auto poolPad = arm_compute::PadStrideInfo(sW, sH, padLeft, padRight, padTop, padBottom, arm_compute::DimensionRoundingType::FLOOR);
auto poolInfo = arm_compute::PoolingLayerInfo(arm_compute::PoolingType::AVG, arm_compute::Size2D(kW, kH), dataLayout, poolPad, excludePadding);
ArmFunction<arm_compute::NEPoolingLayer> pool;
pool.configure(input,output, dataLayout, poolInfo);
pool.run(); // run function
return Status::OK();
}
//////////////////////////////////////////////////////////////////////////
PLATFORM_CHECK(avgpool2d, ENGINE_CPU) {
auto input = INPUT_VARIABLE(0);
auto output = OUTPUT_VARIABLE(0);
const int dH = INT_ARG(6);
const int dW = INT_ARG(7);
// Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
auto dTypeInput = getArmType(input->dataType());
auto dTypeOutput = getArmType(output->dataType());
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bool isSupported = dH==1 && dW==1 && isArmcomputeFriendly(*input) && isArmcomputeFriendly(*output)
&& (dTypeInput ==Arm_DataType::F32)
&& (dTypeOutput ==Arm_DataType::F32);
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return isSupported;
}
}
}
}