wehub-resource-sync
126 lines
4.6 KiB
Plaintext
126 lines
4.6 KiB
Plaintext
/* ******************************************************************************
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*
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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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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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 Yurii Shyrma (iuriish@yahoo.com), created on 26.04.2019
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//
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#include <array/NDArrayFactory.h>
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#include <ops/declarable/helpers/gammaMathFunc.h>
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#include <ops/declarable/helpers/zeta.h>
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#include "execution/cuda/LaunchDims.h"
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namespace sd {
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namespace ops {
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namespace helpers {
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///////////////////////////////////////////////////////////////////
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template <typename T>
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SD_KERNEL static void polyGammaCuda(const void *vn, const LongType *nShapeInfo, const void *vx,
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const LongType *xShapeInfo, void *vz, const LongType *zShapeInfo) {
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const auto n = reinterpret_cast<const T *>(vn);
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const auto x = reinterpret_cast<const T *>(vx);
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auto z = reinterpret_cast<T *>(vz);
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__shared__ LongType len;
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__shared__ bool sameOffsetNX, sameOffsetNZ;
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if (threadIdx.x == 0) {
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len = shape::length(nShapeInfo);
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sameOffsetNX = shape::haveSameShapeAndStrides(xShapeInfo, nShapeInfo);
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sameOffsetNZ = shape::haveSameShapeAndStrides(zShapeInfo, nShapeInfo);
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}
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__syncthreads();
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const auto tid = blockIdx.x * blockDim.x + threadIdx.x;
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const auto totalThreads = gridDim.x * blockDim.x;
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for (LongType i = tid; i < len; i += totalThreads) {
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LongType nOffset, xOffset, zOffset;
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// Compute offsets for n
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nOffset = i * (sameOffsetNX ? 0 : shape::stride(nShapeInfo)[0]);
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// Compute offsets for x
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if (sameOffsetNX) {
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xOffset = nOffset;
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} else {
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xOffset = i * shape::stride(xShapeInfo)[0];
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}
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// Compute offsets for z
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if (sameOffsetNZ) {
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zOffset = nOffset;
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} else {
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zOffset = i * shape::stride(zShapeInfo)[0];
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}
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const T order = n[nOffset];
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const int sign = ((static_cast<int>(order) + 1) % 2 == 0) ? 1 : -1;
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if (order != static_cast<int>(order)) {
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z[zOffset] = DataTypeUtils::nanOrZero<T>();
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} else if (order == 0) {
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z[zOffset] = diGammaScalar<T>(x[xOffset]);
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} else {
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T factorial = static_cast<T>(1);
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for (int j = 2; j <= order; ++j) {
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factorial *= j;
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}
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z[zOffset] = sign * factorial * zetaScalar<T>(order + 1, x[xOffset]);
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}
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}
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}
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///////////////////////////////////////////////////////////////////
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template <typename T>
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static void polyGammaCudaLauncher(const int blocksPerGrid, const int threadsPerBlock, const int sharedMemory,
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const cudaStream_t *stream, const void *vn, const LongType *nShapeInfo,
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const void *vx, const LongType *xShapeInfo, void *vz,
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const LongType *zShapeInfo) {
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polyGammaCuda<T><<<blocksPerGrid, threadsPerBlock, sharedMemory, *stream>>>(vn, nShapeInfo, vx, xShapeInfo, vz, zShapeInfo);
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sd::DebugHelper::checkErrorCode(const_cast<cudaStream_t *>(stream), "print_device failed");
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}
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///////////////////////////////////////////////////////////////////
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void polyGamma(LaunchContext *context, NDArray&n, NDArray&x, NDArray &z) {
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NDArray::prepareSpecialUse({&z}, {&n, &x});
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dim3 launchDims = polygammaDims(z.lengthOf());
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BUILD_SINGLE_SELECTOR(
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n.dataType(), polyGammaCudaLauncher,
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(launchDims.y,launchDims.x,launchDims.z, context->getCudaStream(), n.specialBuffer(), n.specialShapeInfo(),
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x.specialBuffer(), x.specialShapeInfo(), z.specialBuffer(), z.specialShapeInfo()),
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SD_FLOAT_TYPES);
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NDArray::registerSpecialUse({&z}, {&n, &x});
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}
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BUILD_SINGLE_TEMPLATE( void polyGammaCudaLauncher,
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(const int blocksPerGrid, const int threadsPerBlock, const int sharedMemory,const cudaStream_t *stream, const void *vn,
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const sd::LongType *nShapeInfo, const void *vx, const sd::LongType *xShapeInfo, void *vz,
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const sd::LongType *zShapeInfo),
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SD_FLOAT_TYPES);
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} // namespace helpers
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} // namespace ops
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} // namespace sd
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