cavis/libnd4j/include/ops/declarable/generic/transforms/pad.cpp

/*******************************************************************************
 * 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 Shyrma Yurii (iuriish@yahoo.com), created on 06.11.2017.
//

#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_pad)

#include <ops/declarable/CustomOperations.h>
#include<ops/declarable/helpers/transforms.h>
#include <numeric>

namespace sd {
namespace ops  {


//////////////////////////////////////////////////////////////////////////
CUSTOM_OP_IMPL(pad, 2, 1, false, 0, 1) {

    auto input    = INPUT_VARIABLE(0);
    auto paddings = INPUT_VARIABLE(1);
    auto output   = OUTPUT_VARIABLE(0);

    const int rank =  input->rankOf();

	// input validation
	std::vector<Nd4jLong> expectedPaddingsShape = {rank, 2};
	std::vector<Nd4jLong> currentPaddingsShape  = paddings->getShapeAsVector();
	REQUIRE_TRUE(expectedPaddingsShape == currentPaddingsShape, 0, "PAD op: wrong shape of paddings array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedPaddingsShape).c_str(), ShapeUtils::shapeAsString(currentPaddingsShape).c_str());

	NDArray padValue(input->dataType(), block.launchContext());

	// in case of REFLECT and SYMMETRIC modes paddings must obey additional shape requirements
	if (INT_ARG(0) == 0) { // CONSTANT mode
		if(block.width() > 2) {
			REQUIRE_TRUE(input->dataType() == INPUT_VARIABLE(2)->dataType(), 0, "PAD op: data types of input and padValue arrays should be the same but got %i and %i correspondingly !", input->dataType(), INPUT_VARIABLE(2)->dataType());
			padValue.assign(INPUT_VARIABLE(2)->e(0));
		}
	    else if (!block.getTArguments()->empty())
	        padValue = T_ARG(0);
    }
    else if(INT_ARG(0) == 1) {		// REFLECT mode
		for(int dim=0; dim < rank; ++dim)
			REQUIRE_TRUE(paddings->e<Nd4jLong>(dim,0) <= (input->shapeOf()[dim]-1) && paddings->e<Nd4jLong>(dim,1) <= (input->shapeOf()[dim]-1), 0, "PAD op: wrong content of paddings array for REFLECT mode !");
    }
	if(INT_ARG(0) == 2) {		// SYMMETRIC mode
		for(int dim=0; dim < rank; ++dim)
			REQUIRE_TRUE(paddings->e<Nd4jLong>(dim,0) <= input->shapeOf()[dim] && paddings->e<Nd4jLong>(dim,1)  <= input->shapeOf()[dim], 0, "PAD op: wrong content of paddings array for SYMMETRIC mode !");
	}

	// CONSTANT->0, REFLECT->1, SYMMETRIC->2
    REQUIRE_TRUE(INT_ARG(0) >= 0 && INT_ARG(0) <= 2, 0, "PAD op: unknown padding mode, there are only three possible legal values -> 0,1,2, but got %i instead !", INT_ARG(0));

	// std::vector<int> dimensions(input->rankOf());
 //    std::iota(dimensions.begin(), dimensions.end(), 0);   			// fill with 0, 1, ... rank-1

	// helpers::recursiveLoopForPad(INT_ARG(0), *input, *paddings, *output, dimensions, 0, 0, 0, padValue);
	helpers::pad(block.launchContext(), INT_ARG(0), *input, *paddings, *output, padValue);

    return Status::OK();
}

DECLARE_TYPES(pad) {
    getOpDescriptor()
    	->setAllowedInputTypes(0, sd::DataType::ANY)
    	->setAllowedInputTypes(1, {DataType::INT32, DataType::INT64}) // INT32 with TF
//    	->setAllowedInputTypes(1, {DataType::INT32, DataType::INT64}) // INT32 with TF, but used also INT64 due long shapes
    	->setSameMode(true);
}

DECLARE_SHAPE_FN(pad) {

	// check shape of paddings
	auto inputShapeInfo = inputShape->at(0);
    auto paddings = INPUT_VARIABLE(1);
    const int rank =  inputShapeInfo[0];

    // paddings validation
    const std::vector<Nd4jLong> expectedPaddingsShape = {rank, 2};
	const std::vector<Nd4jLong> currentPaddingsShape  = paddings->getShapeAsVector();
	REQUIRE_TRUE(expectedPaddingsShape == currentPaddingsShape, 0, "PAD op: wrong shape of paddings array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedPaddingsShape).c_str(), ShapeUtils::shapeAsString(currentPaddingsShape).c_str());

	Nd4jLong* outShapeInfo = nullptr;
    ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(rank), Nd4jLong);
    outShapeInfo[0] = rank;
    for(int i=1; i <= rank; ++i)
    	outShapeInfo[i] = inputShapeInfo[i] + paddings->e<Nd4jLong>(i-1,0) + paddings->e<Nd4jLong>(i-1,1);

    ShapeUtils::updateStridesAndType(outShapeInfo, inputShapeInfo, shape::order(inputShapeInfo));
    ShapeDescriptor descriptor(outShapeInfo);
    RELEASE(outShapeInfo, block.getWorkspace());
    return SHAPELIST(ConstantShapeHelper::getInstance()->createShapeInfo(descriptor));
}



}
}

#endif