cavis/libnd4j/include/ops/declarable/helpers/adjust_saturation.h
raver119 763a225c6a [WIP] More of CUDA operations (#69)
* initial commit

Signed-off-by: raver119 <raver119@gmail.com>

* - gruCell_bp further

Signed-off-by: Yurii <yurii@skymind.io>

* - further work on gruCell_bp

Signed-off-by: Yurii <yurii@skymind.io>

* Inverse matrix cublas implementation. Partial working revision.

* Separation of segment ops helpers. Max separation.

* Separated segment_min ops.

* Separation of segment_mean/sum/prod/sqrtN ops heleprs.

* Fixed diagonal processing with LUP decomposition.

* Modified inversion approach using current state of LU decomposition.

* Implementation of matrix_inverse op with cuda kernels. Working revision.

* Implemented sequence_mask cuda helper. Eliminated waste printf with matrix_inverse implementation. Added proper tests.

* - further work on gruCell_bp (ff/cuda)

Signed-off-by: Yurii <yurii@skymind.io>

* comment one test for gruCell_bp

Signed-off-by: Yurii <yurii@skymind.io>

* - provide cuda static_rnn

Signed-off-by: Yurii <yurii@skymind.io>

* Refactored random_shuffle op to use new random generator.

* Refactored random_shuffle op helper.

* Fixed debug tests with random ops tests.

* Implement random_shuffle op cuda kernel helper and tests.

* - provide cuda scatter_update

Signed-off-by: Yurii <yurii@skymind.io>

* Implementation of random_shuffle for linear case with cuda kernels and tests.

* Implemented random_shuffle with cuda kernels. Final revision.

* - finally gruCell_bp is completed

Signed-off-by: Yurii <yurii@skymind.io>

* Dropout op cuda helper implementation.

* Implemented dropout_bp cuda helper.

* Implemented alpha_dropout_bp with cuda kernel helpers.

* Refactored helper.

* Implementation of suppresion helper with cuda kernels.

* - provide cpu code fot hsvToRgb, rgbToHsv, adjustHue

Signed-off-by: Yurii <yurii@skymind.io>

* Using sort by value method.

* Implementation of image.non_max_suppression op cuda-based helper.

* - correcting and testing adjust_hue, adjust_saturation cpu/cuda code

Signed-off-by: Yurii <yurii@skymind.io>

* Added cuda device prefixes to declarations.

* Implementation of hashcode op with cuda helper. Initital revision.

* rnn cu impl removed

Signed-off-by: raver119 <raver119@gmail.com>
2019-07-20 23:20:41 +10:00

121 lines
3.2 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 raver119@gmail.com
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include <op_boilerplate.h>
#include <templatemath.h>
#include <NDArray.h>
namespace nd4j {
namespace ops {
namespace helpers {
void adjustSaturation(nd4j::LaunchContext* context, const NDArray *input, const NDArray* factorScalarArr, NDArray *output, const int dimC);
/*
template <typename T>
static FORCEINLINE _CUDA_HD void rgb_to_hsv(T r, T g, T b, T* h, T* s, T* v) {
T vv = nd4j::math::nd4j_max<T>(r, nd4j::math::nd4j_max<T>(g, b));
T range = vv - nd4j::math::nd4j_min<T>(r, nd4j::math::nd4j_min<T>(g, b));
if (vv > 0) {
*s = range / vv;
} else {
*s = 0;
}
T norm = 1.0f / (6.0f * range);
T hh;
if (r == vv) {
hh = norm * (g - b);
} else if (g == vv) {
hh = norm * (b - r) + 2.0 / 6.0;
} else {
hh = norm * (r - g) + 4.0 / 6.0;
}
if (range <= (T) 0.0) {
hh = 0;
}
if (hh < (T) 0.0) {
hh = hh + 1.;
}
*v = vv;
*h = hh;
}
template <typename T>
static FORCEINLINE _CUDA_HD void hsv_to_rgb(T h, T s, T v, T* r, T* g, T* b) {
T c = s * v;
T m = v - c;
T dh = h * 6;
T rr, gg, bb;
int h_category = static_cast<int>(dh);
T fmodu = dh;
while (fmodu <= (T) 0)
fmodu += (T) 2.0f;
while (fmodu >= (T) 2.0f)
fmodu -= (T) 2.0f;
T x = c * (1. - nd4j::math::nd4j_abs<T>(fmodu - 1.));
switch (h_category) {
case 0:
rr = c;
gg = x;
bb = 0;
break;
case 1:
rr = x;
gg = c;
bb = 0;
break;
case 2:
rr = 0;
gg = c;
bb = x;
break;
case 3:
rr = 0;
gg = x;
bb = c;
break;
case 4:
rr = x;
gg = 0;
bb = c;
break;
case 5:
rr = c;
gg = 0;
bb = x;
break;
default:
rr = 0;
gg = 0;
bb = 0;
}
*r = rr + m;
*g = gg + m;
*b = bb + m;
}
*/
}
}
}