/******************************************************************************* * 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 GS 3/21/2018 // @author Yurii Shyrma (iuriish@yahoo.com) // #include #include namespace nd4j { namespace ops { CUSTOM_OP_IMPL(matrix_diag, 1, 1, false, 0, 0) { auto diagonal = INPUT_VARIABLE(0); auto output = OUTPUT_VARIABLE(0); REQUIRE_TRUE(!diagonal->isScalar(), 0, "CUSTOM_OP matrix_diag: input diagonal array must be at list a vector, but scalar was given!"); helpers::matrixSetDiag(block.launchContext(), *output, *diagonal, *output, true); return Status::OK(); } DECLARE_SHAPE_FN(matrix_diag) { Nd4jLong* outShapeInfo = nullptr; auto in = inputShape->at(0); int inRank = shape::rank(in); // if for example diagonal array has shape [A,B,C] then output array has shape [A,B,C,C] int outRank = inRank + 1; ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong); outShapeInfo[0] = outRank; for(int i = 0; i < inRank; ++i) outShapeInfo[i + 1] = shape::sizeAt(in, i); outShapeInfo[outRank] = shape::sizeAt(in, -1); ShapeUtils::updateStridesAndType(outShapeInfo, in, shape::order(in)); return SHAPELIST(CONSTANT(outShapeInfo)); } DECLARE_TYPES(matrix_diag) { getOpDescriptor() ->setAllowedInputTypes(nd4j::DataType::ANY) ->setSameMode(true); } } }