cavis/libnd4j/include/ops/declarable/generic/parity_ops/matrixDiagPart.cpp

72 lines
2.8 KiB
C++

/*******************************************************************************
* 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
******************************************************************************/
//
// Created to use with batched tensor by GS <sgazeos@gmail.com> 3/21/2018
//
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/matrix_diag_part.h>
namespace nd4j {
namespace ops {
CUSTOM_OP_IMPL(matrix_diag_part, 1, 1, false, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto output = OUTPUT_VARIABLE(0);
const int inRank = input->rankOf();
REQUIRE_TRUE(inRank >= 2, 0, "CUSTOM_OP matrix_diag_part: input array must have rank >= 2, but %i given!", inRank);
output->nullify();
return helpers::matrixDiagPart(block.launchContext(), input, output);
}
DECLARE_SHAPE_FN(matrix_diag_part) {
Nd4jLong* outShapeInfo = nullptr;
auto in = inputShape->at(0);
int inRank = shape::rank(in);
REQUIRE_TRUE(inRank >= 2, 0, "CUSTOM_OP matrix_diag_part: input array must have rank >= 2, but %i given!", inRank);
int outRank = inRank - 1;
int lastDimension = nd4j::math::nd4j_min(shape::sizeAt(in, -1), shape::sizeAt(in, -2));
if(outRank == 1) {
//output shape is a vector with size min(sizeAt(0), sizeAt(1))
outShapeInfo = ConstantShapeHelper::getInstance()->vectorShapeInfo(lastDimension, ArrayOptions::dataType(in));
}
else {
ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
outShapeInfo[0] = outRank;
for(int i = 0; i < outRank - 1; ++i)
outShapeInfo[i + 1] = shape::sizeAt(in, i);
outShapeInfo[outRank] = lastDimension;
ShapeUtils::updateStridesAndType(outShapeInfo, in, shape::order(in));
outShapeInfo = CONSTANT(outShapeInfo);
}
return SHAPELIST(outShapeInfo);
}
DECLARE_TYPES(matrix_diag_part) {
getOpDescriptor()
->setAllowedInputTypes(nd4j::DataType::ANY)
->setSameMode(true);
}
}
}