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

78 lines
3.1 KiB
C++

/*******************************************************************************
* Copyright (c) 2020 Konduit, K.K.
*
* 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 by GS <sgazeos@gmail.com> at 01/22/2020
//
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_solve)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/solve.h>
namespace sd {
namespace ops {
CUSTOM_OP_IMPL(solve, 2, 1, false, 0, 0) {
auto a = INPUT_VARIABLE(0);
auto b = INPUT_VARIABLE(1);
auto z = OUTPUT_VARIABLE(0);
bool useAdjoint = false;
if (block.numB() > 0) {
useAdjoint = B_ARG(0);
}
REQUIRE_TRUE(shape::shapeEquals(a->rankOf() - 2, a->shapeInfo(), b->rankOf() - 2, b->shapeInfo()), 0, "solve: Input shapes should be alike.");
REQUIRE_TRUE(a->rankOf() >=2, 0, "solve: The rank of input left tensor should not be less than 2, but %i is given", a->rankOf());
REQUIRE_TRUE(b->rankOf() >=2, 0, "solve: The rank of input right tensor should not be less than 2, but %i is given", b->rankOf());
REQUIRE_TRUE(a->sizeAt(-1) == a->sizeAt(-2), 0, "solve: The last two dimmensions should be equal, but %i and %i are given", a->sizeAt(-1), a->sizeAt(-2));
REQUIRE_TRUE(a->sizeAt(-1) == b->sizeAt(-2), 0, "solve: The last dimmension of left part should be equal to prelast of right part, but %i and %i are given", a->sizeAt(-1), b->sizeAt(-2));
if (a->isEmpty() || b->isEmpty() || z->isEmpty())
return Status::OK();
auto input = a;
if (useAdjoint) {
auto adjointA = a->ulike();
helpers::adjointMatrix(block.launchContext(), a, &adjointA);
input = new NDArray(adjointA); //.detach();
};
auto res = helpers::solveFunctor(block.launchContext(), input, b, useAdjoint, z);
if (input != a)
delete input;
return Status::OK();
}
DECLARE_SHAPE_FN(solve) {
auto in0 = inputShape->at(1);
auto in1 = inputShape->at(1);
auto luShape = ShapeBuilders::copyShapeInfoAndType(in1, in0, true, block.workspace());
return SHAPELIST(CONSTANT(luShape));
}
DECLARE_TYPES(solve) {
getOpDescriptor()
->setAllowedInputTypes({ALL_FLOATS})
->setAllowedOutputTypes({ALL_FLOATS})
->setSameMode(false);
}
}
}
#endif