wehub-resource-sync
129 lines
4.7 KiB
Plaintext
129 lines
4.7 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 30.05.2019
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//
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#include <array/NDArrayFactory.h>
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#include <array/ResultSet.h>
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#include <exceptions/cuda_exception.h>
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#include <helpers/ConstantTadHelper.h>
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#include <helpers/PointersManager.h>
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#include <helpers/ShapeUtils.h>
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#include <ops/declarable/helpers/one_hot.h>
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#include <numeric>
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#include "execution/cuda/LaunchDims.h"
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#include "helpers/DebugHelper.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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// x - indices, z - output
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template <typename X, typename Z>
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SD_KERNEL static void onehotCuda(const void *vx, const LongType *xShapeInfo, void *vz,
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const LongType *zShapeInfo, const LongType axis, const LongType depth,
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const Z on, const Z off) {
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const auto x = reinterpret_cast<const X *>(vx);
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auto z = reinterpret_cast<Z *>(vz);
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__shared__ int xRank, zRank;
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__shared__ LongType zLen, totalThreads;
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__shared__ const LongType *xShape, *xStride, *zShape, *zStride;
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if (threadIdx.x == 0) {
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xRank = shape::rank(xShapeInfo);
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zRank = shape::rank(zShapeInfo);
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zLen = shape::length(zShapeInfo);
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totalThreads = gridDim.x * blockDim.x;
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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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const auto tid = blockIdx.x * blockDim.x + threadIdx.x;
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LongType coord[SD_MAX_RANK];
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for (LongType i = tid; i < zLen; i += totalThreads) {
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// Compute output coordinate and offset
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INDEX2COORDS(i, zRank, zShape, coord);
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LongType zOffset;
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COORDS2INDEX(zRank, zStride, coord, zOffset);
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// Extract depth coordinate and shift axis
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const auto depthCoord = coord[axis];
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for (LongType j = axis; j < zRank - 1; ++j) {
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coord[j] = coord[j + 1];
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}
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// Compute input offset
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LongType xOffset;
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COORDS2INDEX(xRank, xStride, coord, xOffset);
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// Check if the depth matches the index
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const LongType idx = static_cast<LongType>(x[xOffset]);
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z[zOffset] = (depthCoord == idx) ? on : off;
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}
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}
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///////////////////////////////////////////////////////////////////
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template <typename X, typename Y>
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static void onehotCudaLauncher(const int blocksPerGrid, const int threadsPerBlock, const int sharedMem,
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const cudaStream_t *stream, const void *vx, const LongType *xShapeInfo, void *vz,
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const LongType *zShapeInfo, const LongType axis, const LongType depth,
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const double on, const double off) {
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onehotCuda<X, Y><<<blocksPerGrid, threadsPerBlock, sharedMem, *stream>>>(vx, xShapeInfo, vz, zShapeInfo, axis, depth,
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static_cast<Y>(on), static_cast<Y>(off));
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sd::DebugHelper::checkErrorCode(const_cast<cudaStream_t *>(stream), "onehotCuda failed");
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}
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///////////////////////////////////////////////////////////////////
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void onehot(const LaunchContext *context, NDArray *indices, NDArray *output, const LongType axis,
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const LongType depth, const double on, const double off) {
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const auto xType = indices->dataType();
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const auto zType = output->dataType();
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dim3 oneHotLaunch = oneHotDims(output->lengthOf(),output->rankOf(), sizeof(decltype(*output->shapeInfo())));
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PointersManager manager(context, "onehot");
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NDArray::prepareSpecialUse({output}, {indices});
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BUILD_DOUBLE_SELECTOR(
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xType, zType, onehotCudaLauncher,
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(oneHotLaunch.y, oneHotLaunch.x, oneHotLaunch.z, context->getCudaStream(), indices->specialBuffer(),
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indices->specialShapeInfo(), output->specialBuffer(), output->specialShapeInfo(), axis, depth, on, off),
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SD_COMMON_TYPES, SD_COMMON_TYPES);
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NDArray::registerSpecialUse({output}, {indices});
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manager.synchronize();
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}
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} // namespace helpers
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} // namespace ops
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} // namespace sd
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