/******************************************************************************* * 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 raver119@gmail.com // #include #if NOT_EXCLUDED(OP_select) #include #include namespace nd4j { namespace ops { CUSTOM_OP_IMPL(select, 3, 1, false, 0, 0) { auto cond = INPUT_VARIABLE(0); auto x = INPUT_VARIABLE(1); auto y = INPUT_VARIABLE(2); REQUIRE_TRUE(x->isSameShape(y), 0, "Select: X and Y shape should be equal"); if (x->isScalar()) { REQUIRE_TRUE(cond->isScalar(), 0, "Select: Condition should gave either equal shape to X/Y first dimension or to be scalar"); auto z = OUTPUT_VARIABLE(0); if (y->isR()) { auto v = !cond->e(0)? y->e(0) : x->e(0); z->p(0, v); } else { auto v = !cond->e(0)? y->e(0) : x->e(0); z->p(0, v); } } else { bool same = cond->isSameShape(x); REQUIRE_TRUE(cond->isScalar() || cond->lengthOf() == x->sizeAt(0) || same, 0, "Select: Condition should gave either equal shape to X/Y first dimension or to be scalar"); if (same) { auto z = OUTPUT_VARIABLE(0); for (int e = 0; e < cond->lengthOf(); e++) { if (y->isR()) { auto r = !cond->e(e) ? y->e(e) : x->e(e); z->p(e, r); } else { auto r = !cond->e(e) ? y->e(e) : x->e(e); z->p(e, r); } } } else { REQUIRE_TRUE(cond->lengthOf() == x->sizeAt(0), 0, "Condition length should be equal to the dim0 of x/y to act as TAD-mask, but got %d instead", cond->lengthOf()); auto z = OUTPUT_VARIABLE(0); auto dims = ShapeUtils::evalDimsToExclude(x->rankOf(), {0}); auto tadsX = x->allTensorsAlongDimension(dims); auto tadsY = y->allTensorsAlongDimension(dims); auto tadsZ = z->allTensorsAlongDimension(dims); for (int e = 0; e < tadsX->size(); e++) { if (!cond->e(e)) { tadsZ->at(e)->assign(tadsY->at(e)); } else { tadsZ->at(e)->assign(tadsX->at(e)); } } delete tadsX; delete tadsY; delete tadsZ; } } return Status::OK(); } DECLARE_SHAPE_FN(select) { auto inShape = inputShape->at(1); Nd4jLong *newshape; COPY_SHAPE(inShape, newshape); return SHAPELIST(CONSTANT(newshape)); } DECLARE_TYPES(select) { getOpDescriptor() ->setAllowedInputTypes(0, DataType::BOOL) ->setAllowedInputTypes(1, DataType::ANY) ->setAllowedInputTypes(2, DataType::ANY) ->setAllowedOutputTypes(1, DataType::INHERIT); } } } #endif