76 lines
3.5 KiB
Plaintext
76 lines
3.5 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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//
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// @author GS <sgazeos@gmail.com>, created on 25.01.2019
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//
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#include <loops/special_kernels.h>
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namespace sd {
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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// kernel to swap two NDArrays vals as linear sequences
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// input - theSecondBuffer/Shape from input NDArray
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// output - theFirstBuffer/Shape from input NDArray
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template <typename T>
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static __global__ void swapUnsafeKernel(void* theFirstBuffer, Nd4jLong const* theFirstShape, void* theSecondBuffer, Nd4jLong const* theSecondShape) {
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auto tid = blockIdx.x * blockDim.x + threadIdx.x;
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int totalThreads = gridDim.x * blockDim.x;
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__shared__ Nd4jLong resultLength, xEws, yEws;
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__shared__ bool sameOffsets, sameOrders;
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__shared__ T* input;
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__shared__ T* output;
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if (0 == threadIdx.x) {
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resultLength = shape::length(theFirstShape);
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input = reinterpret_cast<T*>(theSecondBuffer);
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output = reinterpret_cast<T*>(theFirstBuffer);
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sameOffsets = shape::haveSameShapeAndStrides(theFirstShape, theSecondShape);
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sameOrders = shape::order(theFirstShape) == shape::order(theSecondShape);
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xEws = shape::elementWiseStride(theFirstShape);
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yEws = shape::elementWiseStride(theSecondShape);
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}
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__syncthreads();
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for (int i = tid; i < resultLength; i += totalThreads) {
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if(sameOrders && xEws > 0 && yEws > 0) {
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sd::math::nd4j_swap(output[i*xEws], input[i*yEws]);
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}
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else if(sameOffsets) {
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const auto offset = shape::getIndexOffset(i, theFirstShape);
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sd::math::nd4j_swap(output[offset], input[offset]);
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}
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else{
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const auto xOffset = shape::getIndexOffset(i, theFirstShape);
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const auto yOffset = shape::getIndexOffset(i, theSecondShape);
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sd::math::nd4j_swap(output[xOffset], input[yOffset]);
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}
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}
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}
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BUILD_SINGLE_TEMPLATE(template __global__ void swapUnsafeKernel, (void* theFirstBuffer, Nd4jLong const* theFirstShape, void* theSecondBuffer, Nd4jLong const* theSecondShape), LIBND4J_TYPES);
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template <typename T>
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void templatedSwapUnsafe(void* theFirstBuffer, Nd4jLong const* theFirstShape, void* theSecondBuffer, Nd4jLong const* theSecondShape, cudaStream_t* theStream) {
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swapUnsafeKernel<T><<<256, 512, 8192, *theStream>>>(theFirstBuffer, theFirstShape, theSecondBuffer, theSecondShape);
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}
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BUILD_SINGLE_TEMPLATE(template void templatedSwapUnsafe, (void* theFirstBuffer, Nd4jLong const* theFirstShape, void* theSecondBuffer, Nd4jLong const* theSecondShape, cudaStream_t* theStream), LIBND4J_TYPES);
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} |