cavis/libnd4j/include/ops/declarable/generic/linalg/triu.cpp

116 lines
3.8 KiB
C++

/* ******************************************************************************
*
*
* 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 31.03.2018
//
#include <ops/declarable/CustomOperations.h>
#include<ops/declarable/helpers/transforms.h>
namespace sd {
namespace ops {
//////////////////////////////////////////////////////////////////////////
CUSTOM_OP_IMPL(triu, 1, 1, false, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto output = OUTPUT_VARIABLE(0);
REQUIRE_TRUE(input->rankOf() > 0, 0, "TRIU OP: the rank of input array must be > 0, but got %i instead !", input->rankOf());
const int diag = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0;
BUILD_SINGLE_SELECTOR(input->dataType(), input->fillAsTriangular, (0, diag, 0, *output, 'l' ), LIBND4J_TYPES);
return Status::OK();
}
DECLARE_TYPES(triu) {
getOpDescriptor()->setAllowedInputTypes(0, {ALL_FLOATS})
->setAllowedOutputTypes(0, {ALL_FLOATS});
}
DECLARE_SHAPE_FN(triu) {
auto inShapeInfo = inputShape->at(0);
REQUIRE_TRUE(inShapeInfo[0] > 0, 0, "TRIU OP: the rank of input array must be > 0, but got %i instead !", inShapeInfo[0]);
int rank = (inShapeInfo[0] == 1) ? 2 : inShapeInfo[0];
Nd4jLong *outShapeInfo = nullptr;
ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(rank), Nd4jLong);
memcpy(outShapeInfo, inShapeInfo, (1 + rank) * sizeof(Nd4jLong)); // copy rank and dimensions values only
if(inShapeInfo[0] == 1) {
outShapeInfo[0] = rank;
outShapeInfo[1] = inShapeInfo[1];
outShapeInfo[2] = inShapeInfo[1];
}
ShapeUtils::updateStridesAndType(outShapeInfo, inShapeInfo, shape::order(inShapeInfo));
return SHAPELIST(CONSTANT(outShapeInfo));
}
//////////////////////////////////////////////////////////////////////////
CUSTOM_OP_IMPL(triu_bp, 2, 1, false, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto gradO = INPUT_VARIABLE(1); // dLoss/dO
auto gradI = OUTPUT_VARIABLE(0); // dLoss/dI
REQUIRE_TRUE(input->rankOf() > 0, 0, "TRIU_BP OP: the rank of input array must be > 0, but got %i instead !", input->rankOf());
const int diag = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0;
helpers::triuBP(block.launchContext(), *input, *gradO, *gradI, diag);
return Status::OK();
}
DECLARE_TYPES(triu_bp) {
getOpDescriptor()->setAllowedInputTypes(0, {ALL_FLOATS})
->setAllowedInputTypes(1, {ALL_FLOATS})
->setAllowedOutputTypes(0, {ALL_FLOATS});
}
DECLARE_SHAPE_FN(triu_bp) {
auto gradOShapeInfo = inputShape->at(1);
int rank = gradOShapeInfo[0];
Nd4jLong* outShapeInfo = nullptr;
ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(rank), Nd4jLong);
memcpy(outShapeInfo, gradOShapeInfo, (1 + rank) * sizeof(Nd4jLong)); // copy rank and dimensions values only
auto in = inputShape->at(0);
ShapeUtils::updateStridesAndType(outShapeInfo, in, shape::order(in));
return SHAPELIST(CONSTANT(outShapeInfo));
}
}
}