109 lines
4.0 KiB
Plaintext
109 lines
4.0 KiB
Plaintext
/*
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* ******************************************************************************
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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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//
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// @author Yurii Shyrma (iuriish@yahoo.com)
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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 "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 diGammaCuda(const void *vx, const LongType *xShapeInfo, void *vz, const LongType *zShapeInfo) {
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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 sameOffset;
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__shared__ LongType xRank, zRank;
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__shared__ const LongType *xShape, *xStride, *zShape, *zStride;
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if (threadIdx.x == 0) {
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len = shape::length(xShapeInfo);
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sameOffset = shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo);
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xRank = shape::rank(xShapeInfo);
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zRank = shape::rank(zShapeInfo);
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xShape = shape::shapeOf(xShapeInfo);
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xStride = shape::stride(xShapeInfo);
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zShape = shape::shapeOf(zShapeInfo);
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zStride = shape::stride(zShapeInfo);
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}
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__syncthreads();
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LongType xCoords[SD_MAX_RANK];
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LongType zCoords[SD_MAX_RANK];
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LongType xOffset;
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LongType zOffset;
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for (LongType i = blockIdx.x * blockDim.x + threadIdx.x; i < len; i += gridDim.x * blockDim.x) {
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INDEX2COORDS(i, xRank, xShape, xCoords);
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COORDS2INDEX(xRank, xStride, xCoords, xOffset);
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if (sameOffset) {
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zOffset = xOffset;
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} else {
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INDEX2COORDS(i, zRank, zShape, zCoords);
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COORDS2INDEX(zRank, zStride, zCoords, zOffset);
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}
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z[zOffset] = diGammaScalar<T>(x[xOffset]);
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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 diGammaCudaLauncher(const int blocksPerGrid, const int threadsPerBlock, const int sharedMemory,
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const cudaStream_t *stream, const void *vx, const LongType *xShapeInfo, void *vz,
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const LongType *zShapeInfo) {
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diGammaCuda<T><<<blocksPerGrid, threadsPerBlock, sharedMemory, *stream>>>(vx, xShapeInfo, vz, zShapeInfo);
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DebugHelper::checkErrorCode(const_cast<cudaStream_t *>(stream), "crossCuda failed");
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}
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///////////////////////////////////////////////////////////////////
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void diGamma(LaunchContext *context, NDArray&x, NDArray &z) {
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dim3 digammaDims2 = digammaDims(z.lengthOf());
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NDArray::prepareSpecialUse({&z}, {&x});
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BUILD_SINGLE_SELECTOR(x.dataType(), diGammaCudaLauncher,
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(digammaDims2.y, digammaDims2.x, digammaDims2.z, context->getCudaStream(), x.specialBuffer(),
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x.specialShapeInfo(), z.specialBuffer(), z.specialShapeInfo()),
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SD_FLOAT_TYPES);
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NDArray::registerSpecialUse({&z}, {&x});
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}
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BUILD_SINGLE_TEMPLATE( void diGammaCudaLauncher,
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(const int blocksPerGrid, const int threadsPerBlock, const int sharedMemory,
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const cudaStream_t *stream, 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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