116 lines
4.0 KiB
Plaintext
116 lines
4.0 KiB
Plaintext
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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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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* 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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// @author raver119@gmail.com
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// @author Yurii Shyrma (iuriish@yahoo.com), created on 08.11.2018
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#ifndef PAIRWISE_INT_CU
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#define PAIRWISE_INT_CU
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#include "../pairwise_int.h"
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using namespace simdOps;
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////////////////////////////////////////////////////////////////////////////////
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template <typename X, typename OpType>
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__global__ static void pairwiseSimpleShaped(void* vx, Nd4jLong *xShapeInfo,
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void *vy, Nd4jLong *yShapeInfo,
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void *vz, Nd4jLong *zShapeInfo,
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void *vextraParams) {
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auto x = reinterpret_cast<X*>(vx);
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auto y = reinterpret_cast<X*>(vy);
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auto z = reinterpret_cast<X*>(vz);
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auto extraParams = reinterpret_cast<X*>(vextraParams);
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int tid = blockIdx.x * blockDim.x + threadIdx.x;
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__shared__ int xEws;
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__shared__ int yEws;
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__shared__ int zEws;
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__shared__ char xOrder;
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__shared__ char yOrder;
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__shared__ char zOrder;
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__shared__ Nd4jLong len;
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if (threadIdx.x == 0) {
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xEws = shape::elementWiseStride(xShapeInfo);
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yEws = shape::elementWiseStride(yShapeInfo);
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zEws = shape::elementWiseStride(zShapeInfo);
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xOrder = shape::order(xShapeInfo);
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yOrder = shape::order(yShapeInfo);
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zOrder = shape::order(zShapeInfo);
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len = shape::length(xShapeInfo);
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}
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__syncthreads();
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if (xEws >= 1 && yEws >= 1 && zEws >= 1 && xOrder == yOrder && xOrder == zOrder) {
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for (Nd4jLong i = tid; i < len; i += gridDim.x * blockDim.x) {
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z[i * zEws] = OpType::op(x[i * xEws], y[i * yEws], extraParams);
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}
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}
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else if (vx == vz) {
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for (Nd4jLong i = tid; i < len; i += gridDim.x * blockDim.x) {
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auto xOffset = shape::getIndexOffset(i, xShapeInfo);
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auto yOffset = shape::getIndexOffset(i, yShapeInfo);
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z[xOffset] = OpType::op(x[xOffset], y[yOffset], extraParams);
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}
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}
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else {
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for (Nd4jLong i = tid; i < len; i += gridDim.x * blockDim.x) {
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auto xOffset = shape::getIndexOffset(i, xShapeInfo);
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auto yOffset = shape::getIndexOffset(i, yShapeInfo);
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auto zOffset = shape::getIndexOffset(i, zShapeInfo);
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z[zOffset] = OpType::op(x[xOffset], y[yOffset], extraParams);
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}
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}
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}
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namespace functions {
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namespace pairwise_transforms {
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////////////////////////////////////////////////////////////////////////////////
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template<typename X>
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template<typename OpType>
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void _CUDA_H PairWiseIntTransform<X>::intermediateShaped(dim3& launchDims, cudaStream_t *stream,
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void *vx, Nd4jLong *xShapeInfo,
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void *vy, Nd4jLong *yShapeInfo,
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void *vz, Nd4jLong *zShapeInfo,
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void *vextraParams){
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pairwiseSimpleShaped<X, OpType><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(vx, xShapeInfo, vy, yShapeInfo, vz, zShapeInfo, vextraParams);
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}
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////////////////////////////////////////////////////////////////////////////////
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template<typename X>
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void PairWiseIntTransform<X>::executeCudaShaped(dim3& launchDims, cudaStream_t *stream, int opNum, void *vx, Nd4jLong *xShapeInfo, void *vy, Nd4jLong *yShapeInfo, void *vz, Nd4jLong *zShapeInfo, void *vextraParams) {
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auto xType = sd::DataTypeUtils::fromT<X>();
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DISPATCH_BY_OPNUM_T(intermediateShaped, PARAMS(launchDims, stream, vx, xShapeInfo, vy, yShapeInfo, vz, zShapeInfo, vextraParams), PAIRWISE_INT_OPS);
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}
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BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT PairWiseIntTransform, , INTEGER_TYPES);
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}
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}
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#endif // PAIRWISE_INT_CU |