/******************************************************************************* * 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 // @author Yurii Shyrma (iuriish@yahoo.com) // #include #if NOT_EXCLUDED(OP_adjust_hue) #include #include #include namespace nd4j { namespace ops { CONFIGURABLE_OP_IMPL(adjust_hue, 1, 1, true, 1, -2) { auto input = INPUT_VARIABLE(0); auto output = OUTPUT_VARIABLE(0); // just skip op if input is empty if (input->isEmpty()) return Status::OK(); const int rank = input->rankOf(); const int dimC = block.getIArguments()->size() > 0 ? (INT_ARG(0) >= 0 ? INT_ARG(0) : INT_ARG(0) + rank) : rank - 1; const double delta = T_ARG(0); REQUIRE_TRUE(rank >= 3, 0, "ADJUST_HUE: op expects rank of input array to be >= 3, but got %i instead", rank); REQUIRE_TRUE(input->sizeAt(dimC) == 3, 0, "ADJUST_HUE: operation expects image with 3 channels (R, G, B), but got %i instead", input->sizeAt(dimC)); REQUIRE_TRUE(-1. <= delta && delta <= 1., 0, "ADJUST_HUE: parameter delta must be within [-1, 1] interval, but got %f instead", delta); NDArray deltaScalarArr = NDArrayFactory::create(delta, block.launchContext()); helpers::adjustHue(block.launchContext(), input, &deltaScalarArr, output, dimC); return Status::OK(); } DECLARE_TYPES(adjust_hue) { getOpDescriptor()->setAllowedInputTypes(nd4j::DataType::ANY) ->setSameMode(true); } } } #endif