/******************************************************************************* * 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 sgazeos@gmail.com // #include #if NOT_EXCLUDED(OP_lin_space) #include namespace sd { namespace ops { CUSTOM_OP_IMPL(lin_space, 0, 1, false, 0, 0) { auto output = OUTPUT_VARIABLE(0); const int nInputs = block.width(); bool bInputs = (3 == nInputs || 3 == block.numI() || (2 == block.numT() && block.numI() > 0)); REQUIRE_TRUE(bInputs, 0, "lin_space OP: Have to be supplied correct inputs, input size or T_ARG size have to be equal 3, but got inputs - %i, T_ARGS - %i!", nInputs, block.numT()); auto start = (nInputs > 0) ? INPUT_VARIABLE(0)->e(0) : static_cast(T_ARG(0)); auto finish = (nInputs > 0) ? INPUT_VARIABLE(1)->e(0) : static_cast(T_ARG(1)); auto numOfElements = (nInputs > 0) ? INPUT_VARIABLE(2)->e(0) : static_cast(I_ARG(0)); if (numOfElements == 1) { output->assign(start); return Status::OK(); } output->linspace(start, (finish - start) / ( numOfElements - 1.0 )); return Status::OK(); } DECLARE_SHAPE_FN(lin_space) { const int nInputs = block.width(); bool bInputs = (3 == nInputs || 3 == block.numI() || (2 == block.numT() && block.numI() > 0)); REQUIRE_TRUE(bInputs, 0, "lin_space OP: Have to be supplied correct inputs, input size or T_ARG size have to be equal 3, but got inputs - %i, T_ARGS - %i!", nInputs, block.numT() ); auto dataType = (nInputs > 0) ? ArrayOptions::dataType(inputShape->at(0)) : ( block.numD() > 0 ? static_cast(D_ARG(0)) : DataType::FLOAT32) ; Nd4jLong steps = (nInputs > 0) ? INPUT_VARIABLE(2)->e(0) : static_cast(I_ARG(0)); return SHAPELIST(ConstantShapeHelper::getInstance().vectorShapeInfo(steps, dataType)); } DECLARE_TYPES(lin_space) { getOpDescriptor() ->setAllowedInputTypes(0, {ALL_FLOATS, ALL_INTS}) ->setAllowedInputTypes(1, {ALL_FLOATS, ALL_INTS}) ->setAllowedInputTypes(2, {ALL_INTS}) ->setAllowedOutputTypes({ALL_FLOATS, ALL_INTS}); } } } #endif