cavis/libnd4j/include/loops/cuda/specials/swapUnsafeKernel.cu

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/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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 GS <sgazeos@gmail.com>, created on 25.01.2019
//
#include <loops/special_kernels.h>
namespace sd {
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// kernel to swap two NDArrays vals as linear sequences
// input - theSecondBuffer/Shape from input NDArray
// output - theFirstBuffer/Shape from input NDArray
template <typename T>
static __global__ void swapUnsafeKernel(void* theFirstBuffer, Nd4jLong* theFirstShape, void* theSecondBuffer, Nd4jLong* theSecondShape) {
auto tid = blockIdx.x * blockDim.x + threadIdx.x;
int totalThreads = gridDim.x * blockDim.x;
__shared__ Nd4jLong resultLength;
__shared__ T* input;
__shared__ T* output;
if (0 == threadIdx.x) {
resultLength = shape::length(theFirstShape);
input = reinterpret_cast<T*>(theSecondBuffer);
output = reinterpret_cast<T*>(theFirstBuffer);
}
__syncthreads();
for (int i = tid; i < resultLength; i += totalThreads) {
auto xEws = shape::order(theFirstShape) == 'c'? shape::elementWiseStride(theFirstShape) :1;
auto yEws = shape::order(theSecondShape) == 'c'? shape::elementWiseStride(theSecondShape):1;
auto xOffset = shape::getIndexOffset(i * xEws, theFirstShape);
auto yOffset = shape::getIndexOffset(i * yEws, theSecondShape);
sd::math::nd4j_swap(output[xOffset], input[yOffset]);
}
}
BUILD_SINGLE_TEMPLATE(template __global__ void swapUnsafeKernel, (void* theFirstBuffer, Nd4jLong* theFirstShape, void* theSecondBuffer, Nd4jLong* theSecondShape), LIBND4J_TYPES);
template <typename T>
void templatedSwapUnsafe(void* theFirstBuffer, Nd4jLong* theFirstShape, void* theSecondBuffer, Nd4jLong* theSecondShape, cudaStream_t* theStream) {
swapUnsafeKernel<T><<<256, 512, 8192, *theStream>>>(theFirstBuffer, theFirstShape, theSecondBuffer, theSecondShape);
}
BUILD_SINGLE_TEMPLATE(template void templatedSwapUnsafe, (void* theFirstBuffer, Nd4jLong* theFirstShape, void* theSecondBuffer, Nd4jLong* theSecondShape, cudaStream_t* theStream), LIBND4J_TYPES);
}