cavis/libnd4j/include/loops/cuda/specials/flatten.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 raver119@gmail.com
// @author Yurii Shyrma, created on 27.11.2018
//
#include <loops/special_kernels.h>
#include <ops/declarable/helpers/flatten.h>
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namespace nd4j {
////////////////////////////////////////////////////////////////////////
template <typename T>
__global__ void flattenKernel(
Nd4jPointer *extraPointers,
int dOffset,
char order,
void *vz, Nd4jLong *zShapeInfo,
void *vy, Nd4jLong *yShapeInfo) {
auto z = reinterpret_cast<T*>(vz);
auto y = reinterpret_cast<T*>(vy);
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__shared__ Nd4jLong lenY, yOrder, zEWS, yEWS;
if (threadIdx.x == 0) {
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yEWS = shape::elementWiseStride(yShapeInfo);
zEWS = shape::elementWiseStride(zShapeInfo);
lenY = shape::length(yShapeInfo);
}
__syncthreads();
Nd4jLong tid = blockIdx.x * blockDim.x + threadIdx.x;
for(auto i = tid; i < lenY; i += gridDim.x * blockDim.x)
z[i * zEWS + dOffset] = y[ops::helpers::getIndexOffsetOrdered(i, yShapeInfo, order)];
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}
////////////////////////////////////////////////////////////////////////
template <typename T>
__host__ void flattenKernelGeneric(dim3& launchDims, cudaStream_t *stream,
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Nd4jPointer *extraPointers,
int dOffset,
char order,
void *vz, Nd4jLong *zShapeInfo,
void *vy, Nd4jLong *yShapeInfo) {
flattenKernel<T><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(extraPointers, dOffset, order, vz, zShapeInfo, vy, yShapeInfo);
nd4j::DebugHelper::checkErrorCode(stream, "flattenGeneric(...) failed");
}
BUILD_SINGLE_TEMPLATE(template void ND4J_EXPORT flattenKernelGeneric, (dim3& launchDims, cudaStream_t *stream, Nd4jPointer *extraPointers, int dOffset, char order, void *vz, Nd4jLong *zShapeInfo, void *vy, Nd4jLong *yShapeInfo), LIBND4J_TYPES);
}