1f5e15b541
* - add possibility of passing scalar-array as input parameter for scale factor in adjust hue/contrast/saturation ops - correct typo in function which calculates regularized incomplete beta integral Signed-off-by: Yurii <iuriish@yahoo.com> * - fix bug in betainc cuda kernel Signed-off-by: Yurii <iuriish@yahoo.com> * - start working on implementation of digamma function Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on digamma function (cpu) Signed-off-by: Yurii <iuriish@yahoo.com> * - testing and fixing bugs in digamma op Signed-off-by: Yurii <iuriish@yahoo.com> * - make correction n cuda kernel for polyGamma Signed-off-by: Yurii <iuriish@yahoo.com> * - remove unnecessary stuff from betaInc cuda kernel Signed-off-by: Yurii <iuriish@yahoo.com> * - resolve conflicts in DeclarableOpsTests3.cpp after master branch has been merged Signed-off-by: Yurii <iuriish@yahoo.com> * - restore id number of Not opertion in legacy_ops.h Signed-off-by: Yurii <iuriish@yahoo.com> * - correct padding calculation in mkl dnn conv1d causal Signed-off-by: Yurii <iuriish@yahoo.com> * restore empty check in adjust_contrast_v2 Signed-off-by: raver119 <raver119@gmail.com>
79 lines
3.0 KiB
Plaintext
79 lines
3.0 KiB
Plaintext
/*******************************************************************************
|
|
* Copyright (c) 2015-2018 Skymind, Inc.
|
|
* Copyright (c) 2019 Konduit K.K.
|
|
*
|
|
* 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 Yurii Shyrma (iuriish@yahoo.com)
|
|
//
|
|
|
|
#include<ops/declarable/helpers/gammaMathFunc.h>
|
|
#include <NDArrayFactory.h>
|
|
|
|
namespace nd4j {
|
|
namespace ops {
|
|
namespace helpers {
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
template<typename T>
|
|
__global__ static void diGammaCuda(const void *vx, const Nd4jLong *xShapeInfo,
|
|
void *vz, const Nd4jLong *zShapeInfo) {
|
|
|
|
const auto x = reinterpret_cast<const T*>(vx);
|
|
auto z = reinterpret_cast<T*>(vz);
|
|
|
|
__shared__ Nd4jLong len;
|
|
__shared__ bool sameOffset;
|
|
|
|
if (threadIdx.x == 0) {
|
|
len = shape::length(xShapeInfo);
|
|
sameOffset = shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo);
|
|
}
|
|
__syncthreads();
|
|
|
|
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < len; i += gridDim.x * blockDim.x) {
|
|
|
|
const auto xOffset = shape::getIndexOffset(i, xShapeInfo);
|
|
const auto zOffset = sameOffset ? xOffset : shape::getIndexOffset(i, zShapeInfo);
|
|
|
|
z[zOffset] = diGammaScalar<T>(x[xOffset]);
|
|
}
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
template<typename T>
|
|
static void diGammaCudaLauncher(const int blocksPerGrid, const int threadsPerBlock, const cudaStream_t *stream, const void *vx, const Nd4jLong *xShapeInfo, void *vz, const Nd4jLong *zShapeInfo) {
|
|
|
|
diGammaCuda<T><<<blocksPerGrid, threadsPerBlock, 1024, *stream>>>(vx, xShapeInfo, vz, zShapeInfo);
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
void diGamma(nd4j::LaunchContext* context, const NDArray& x, NDArray& z) {
|
|
|
|
int threadsPerBlock = MAX_NUM_THREADS / 2;
|
|
int blocksPerGrid = (z.lengthOf() + threadsPerBlock - 1) / threadsPerBlock;
|
|
|
|
NDArray::prepareSpecialUse({&z}, {&x});
|
|
BUILD_SINGLE_SELECTOR(x.dataType(), diGammaCudaLauncher, (blocksPerGrid, threadsPerBlock, context->getCudaStream(), x.getSpecialBuffer(), x.getSpecialShapeInfo(), z.getSpecialBuffer(), z.getSpecialShapeInfo()), FLOAT_TYPES);
|
|
NDArray::registerSpecialUse({&z}, {&x});
|
|
}
|
|
|
|
BUILD_SINGLE_TEMPLATE(template void diGammaCudaLauncher, (const int blocksPerGrid, const int threadsPerBlock, const cudaStream_t *stream, const void *vx, const Nd4jLong *xShapeInfo, void *vz, const Nd4jLong *zShapeInfo), FLOAT_TYPES);
|
|
|
|
}
|
|
}
|
|
}
|
|
|