/******************************************************************************* * 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 Yurii Shyrma (iuriish@yahoo.com), created on 21.08.2018 // #include #if NOT_EXCLUDED(OP_scatter_nd) #include #include namespace nd4j { namespace ops { CUSTOM_OP_IMPL(scatter_nd, 3, 1, false, 0, 0) { auto indices = INPUT_VARIABLE(0); auto updates = INPUT_VARIABLE(1); auto shape = INPUT_VARIABLE(2); auto output = OUTPUT_VARIABLE(0); const bool lock = block.getBArguments()->empty() ? false : B_ARG(0); const int indRank = indices->rankOf(); const int updRank = updates->rankOf(); const int shapeRank = shape->rankOf(); const Nd4jLong shapeLen = shape->lengthOf(); REQUIRE_TRUE(shapeRank == 1, 0, "SCATTER_ND OP: the rank of shape array must be 1, but got %i instead !", shapeRank); REQUIRE_TRUE(indices->sizeAt(-1) <= shapeLen, 0, "SCATTER_ND OP: last dimension of indices array must be <= length of shape array, but got %i and %i correspondingly !", indices->sizeAt(-1), shapeLen); // REQUIRE_TRUE(updRank == (indRank + shapeLen - 2), 0, "SCATTER_ND OP: the equality updates_rank = (indices_rank + shape_length - 2) must be true for input arrays, but got instead: updates_rank = %i, indices_rank = %i, shape_length = %i !", updRank, indRank, shapeLen); REQUIRE_TRUE(updRank == (indRank - 1 + shapeLen - indices->sizeAt(-1)), 0, "SCATTER_ND OP: the equality updates_rank = (indices_rank - 1 + shape_length - last_indices_dimension) must be true for input arrays, but got instead: updates_rank = %i, shape_length = %i, last_indices_dimension = %i !", updRank, shapeLen, indices->sizeAt(-1)); std::vector outShape = shape->getBufferAsVector(); std::vector updShape = updates->getShapeAsVector(); std::vector indShape = indices->getShapeAsVector(); std::vector expectedUpdShape(std::begin(indShape), std::end(indShape) - 1); std::move(std::begin(outShape) + indices->sizeAt(-1), std::end(outShape), std::back_inserter(expectedUpdShape)); REQUIRE_TRUE(expectedUpdShape == updShape, 0, "SCATTER_ND OP: wrong shape of updates array, expected is %s, but got %s instead !", ShapeUtils::shapeAsString(expectedUpdShape).c_str(), ShapeUtils::shapeAsString(updShape).c_str()); // initial zeroing of output *output = 0; helpers::scatterND(block.launchContext(), pairwise::Add, *indices, *updates, *output, lock); return Status::OK(); } DECLARE_TYPES(scatter_nd) { getOpDescriptor() ->setAllowedInputTypes(0, {ALL_INTS}) ->setAllowedInputTypes(1, {ALL_INTS, ALL_FLOATS}) ->setAllowedInputTypes(2, {ALL_INTS}) ->setAllowedOutputTypes({ALL_INTS, ALL_FLOATS}); } //////////////////////////////////////////////////////////////////////// DECLARE_SHAPE_FN(scatter_nd) { auto shape = INPUT_VARIABLE(2); auto updShapeInfo = inputShape->at(1); Nd4jLong *outShapeInfo; ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(shape->lengthOf()), Nd4jLong); outShapeInfo[0] = shape->lengthOf(); for (int i = 0; i < outShapeInfo[0]; ++i) outShapeInfo[i + 1] = shape->e(i); ShapeUtils::updateStridesAndType(outShapeInfo, updShapeInfo, shape::order(updShapeInfo)); return SHAPELIST(CONSTANT(outShapeInfo)); } } } #endif