cavis/libnd4j/include/ops/declarable/generic/parity_ops/adjust_contrast.cpp

130 lines
4.5 KiB
C++

/*******************************************************************************
* 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 George A. Shulinok <sgazeos@gmail.com>
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_adjust_contrast)
#include <ops/declarable/headers/parity_ops.h>
#include <NDArrayFactory.h>
namespace nd4j {
namespace ops {
////////////////////////////////////////////////////////////////////
CONFIGURABLE_OP_IMPL(adjust_contrast, 1, 1, true, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto output = OUTPUT_VARIABLE(0);
// just skip op if input is empty
if (input->isEmpty())
return Status::OK();
REQUIRE_TRUE(block.numT() > 0 || block.width() > 1, 0, "ADJUST_CONTRAST: Scale factor required");
REQUIRE_TRUE(input->rankOf() > 2, 0, "ADJUST_CONTRAST: op expects rank of input array to be >= 3, but got %i instead", input->rankOf());
// 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));
NDArray* factor = nullptr;
if(block.width() > 1)
factor = INPUT_VARIABLE(1);
else {
factor = new NDArray(output->dataType(), block.launchContext());
factor->p(0, T_ARG(0));
}
// fill up axes vector first
std::vector<int> axes(input->rankOf() - 1);
for (auto i = 0; i < axes.size(); ++i)
axes[i] = i;
// mean as reduction for last dimension set
auto mean = input->reduceAlongDimension(reduce::Mean, axes);
// this is contrast calculation
output->assign((*input - mean) * (*factor) + mean);
if(block.width() == 1)
delete factor;
return Status::OK();
}
DECLARE_TYPES(adjust_contrast) {
getOpDescriptor()->setAllowedInputTypes(nd4j::DataType::ANY)
->setAllowedOutputTypes({ALL_FLOATS})
->setSameMode(true);
}
////////////////////////////////////////////////////////////////////
CONFIGURABLE_OP_IMPL(adjust_contrast_v2, 1, 1, true, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto output = OUTPUT_VARIABLE(0);
// just skip op if input is empty
if (input->isEmpty())
return Status::OK();
REQUIRE_TRUE(input->rankOf() > 2, 0, "ADJUST_CONTRAST_V2: op expects rank of input array to be >= 3, but got %i instead", input->rankOf());
// REQUIRE_TRUE(input->sizeAt(-1) == 3, 0, "ADJUST_CONTRAST_V2: operation expects image with 3 channels (R, G, B), but got %i instead", input->sizeAt(-1));
REQUIRE_TRUE(block.numT() > 0 || block.width() > 1, 0, "ADJUST_CONTRAST_V2: Scale factor required");
NDArray* factor = nullptr;
auto size = input->sizeAt(-2) * input->sizeAt(-3);
auto channels = input->sizeAt(-1);
auto batch = input->lengthOf() / (size * channels);
auto input3D = input->reshape(input->ordering(), {batch, size, channels});
auto output3D = input->reshape(input->ordering(), {batch, size, channels});
if(block.width() > 1)
factor = INPUT_VARIABLE(1);
else {
factor = new NDArray(output->dataType(), block.launchContext());
factor->p(0, T_ARG(0));
}
std::vector<int> axes({1}); // dim 1 of pseudoresult
// mean as reduction for last dimension set over size (dim 1) of result3D
auto mean = input3D.reduceAlongDimension(reduce::Mean, axes);
// result as (x - mean) * factor + mean
auto temp = input3D.ulike();
input3D.applyBroadcast(broadcast::Subtract, {0, 2}, mean, temp);
temp.applyScalarArr(scalar::Multiply, *factor, temp);
temp.applyBroadcast(broadcast::Add, {0, 2}, mean, output3D);
output->assign(output3D);
if(block.width() == 1)
delete factor;
return Status::OK();
}
DECLARE_TYPES(adjust_contrast_v2) {
getOpDescriptor()->setAllowedInputTypes(nd4j::DataType::ANY)
->setAllowedOutputTypes({ALL_FLOATS})
->setSameMode(true);
}
}
}
#endif