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

/* ******************************************************************************
 *
 *
 * 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
 ******************************************************************************/

//
// @author Yurii Shyrma (iuriish@yahoo.com), created on 01.11.2017.
//

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

#include <ops/declarable/CustomOperations.h>
#include<ops/declarable/helpers/stack.h>

namespace sd {
namespace ops {

CUSTOM_OP_IMPL(stack, -1, 1, false, 0, 0) {
	auto input = INPUT_VARIABLE(0);
	auto output = OUTPUT_VARIABLE(0);
	int dim  = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0;
	if(dim < 0)
 		dim += input->rankOf() + 1;

	// no-op in case of empty output array
	if (output->isEmpty())
	    return Status::OK();

	// input validation
	// check whether shapes of all input array are the same
	for (int i = 0; i < (int) block.width() - 1; ++i)
		REQUIRE_TRUE(shape::equalsSoft((INPUT_VARIABLE(i))->shapeInfo(), (INPUT_VARIABLE(i+1))->shapeInfo()), 0, "STACK op: the shapes of all input arrays must be the same !");

	REQUIRE_TRUE(dim <= input->rankOf(), 0, "STACK op: the input dimension parameter must be <= rank of input arrays shapes (rank=%i), but got %i instead !", input->shapeOf(), dim);


 	std::vector<const NDArray*> inArrs(block.width());
 	for(int i = 0; i < block.width(); ++i)
		inArrs[i] = INPUT_VARIABLE(i);

	helpers::stack(block.launchContext(), inArrs, *output, dim);

  	return Status::OK();
}
DECLARE_SYN(pack, stack);
DECLARE_SYN(Pack, stack);

	DECLARE_TYPES(stack) {
		//getOpDescriptor()->setSameMode(true);
		getOpDescriptor()
		    ->setAllowedInputTypes(DataType::ANY)
		    ->setAllowedOutputTypes(DataType::ANY);

	}

DECLARE_SHAPE_FN(stack) {

	// check whether input dimension is within rank range
	auto inShapeInfo = inputShape->at(0);
	int rank = shape::rank(inShapeInfo);
    int dim  = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0;
    if(dim < 0 )
		dim += rank + 1;

	 REQUIRE_TRUE(dim <= inShapeInfo[0], 0, "STACK op: the input dimension parameter must be <= rank of input arrays shapes (rank=%i), but got %i instead !", inShapeInfo[0], dim);

	 // empty input arrays require some special handling
	 if (shape::isEmpty(inShapeInfo)) {
	     switch (rank) {
             case 0: {
                 // we're going to return rank 1 here
                 if (block.width() == 1) {
                     return SHAPELIST(ConstantShapeHelper::getInstance().vectorShapeInfo(0, ArrayOptions::dataType(inShapeInfo)));
                 } else {
                     return SHAPELIST(ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(inShapeInfo), 'c', {(Nd4jLong) block.width(), 0}));
                 }
             }
	     }
	 }

	if(rank == 0) {
	    return SHAPELIST(ConstantShapeHelper::getInstance().vectorShapeInfo(block.width(), ArrayOptions::dataType(inShapeInfo)));
	}

	//the rank of output ShapeInfo is larger by one compared to input ShapeInfo
	std::vector<Nd4jLong> outShape(inShapeInfo + 1, inShapeInfo + 1 + rank);

	// insert (int) block.width() at dim position of input shape to get output shape
	outShape.insert(outShape.begin() + Nd4jLong(dim), (Nd4jLong) block.width());
    return SHAPELIST(ConstantShapeHelper::getInstance().createShapeInfo(ShapeDescriptor(ArrayOptions::dataType(inShapeInfo), shape::order(inShapeInfo), outShape)));
}


}
}

#endif