68 lines
2.4 KiB
C++
68 lines
2.4 KiB
C++
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/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author George A. Shulinok <sgazeos@gmail.com>
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//
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#include <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_adjust_contrast)
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#include <ops/declarable/headers/parity_ops.h>
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#include <NDArrayFactory.h>
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namespace nd4j {
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namespace ops {
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CONFIGURABLE_OP_IMPL(adjust_contrast, 1, 1, true, 1, 0) {
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auto input = INPUT_VARIABLE(0);
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auto output = OUTPUT_VARIABLE(0);
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const double factor = T_ARG(0);
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REQUIRE_TRUE(input->rankOf() > 2, 0, "ADJUST_CONTRAST: op expects rank of input array to be >= 3, but got %i instead", input->rankOf());
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REQUIRE_TRUE(input->sizeAt(-1) == 3, 0, "ADJUST_CONTRAST: operation expects image with 3 channels (R, G, B), but got %i instead", input->sizeAt(-1));
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// compute mean before
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reduce_mean meanOp;
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auto axes = NDArrayFactory::create<int>('c', {input->rankOf() - 1}, block.launchContext());
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for (int i = 0; i < input->rankOf() -1; i++)
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axes.p(i, i);
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auto meanRes = meanOp.execute({input, &axes}, {}, {});
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REQUIRE_TRUE(meanRes->status() == Status::OK(), 0, "ADJUST_CONTRAST: op should be successful, but error code %i occured.", meanRes->status());
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auto mean = meanRes->at(0);
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NDArray factorT(output->dataType(), block.launchContext()); // = NDArrayFactory::create(factor, block.launchContext());
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factorT.p(0, factor);
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// this is contrast calculation
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*output = (*input - *mean) * factorT + *mean;
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delete meanRes;
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return Status::OK();
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}
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DECLARE_TYPES(adjust_contrast) {
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getOpDescriptor()->setAllowedInputTypes(nd4j::DataType::ANY)
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->setAllowedOutputTypes({ALL_FLOATS})
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->setSameMode(true);
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}
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}
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}
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#endif
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