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duplicate pad impl 

Signed-off-by: raver119 <raver119@gmail.com>
master
raver119 2019-08-08 20:28:14 +03:00
parent 7fa01288bb
commit 1a0a8b1497
1 changed files with 0 additions and 20 deletions
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20
libnd4j/include/ops/declarable/helpers/cuda/pad.cu
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@ -130,26 +130,6 @@ namespace nd4j {
}
BUILD_DOUBLE_TEMPLATE(template void padCudaLauncher, (const int blocksPerGrid, const int threadsPerBlock, const int sharedMem, const cudaStream_t *stream, const int mode, const void *vx, const Nd4jLong *xShapeInfo, const void *vy, const Nd4jLong *yShapeInfo, void *vz, const Nd4jLong *zShapeInfo, const void* vPadVal), LIBND4J_TYPES, INTEGER_TYPES);
///////////////////////////////////////////////////////////////////
void pad(nd4j::LaunchContext * context, const int mode, const NDArray& input, const NDArray& paddings, NDArray& output, const NDArray& padValue) {
PointersManager manager(context, "pad");
NDArray::prepareSpecialUse({&output}, {&input, &paddings, &padValue});
const int threadsPerBlock = MAX_NUM_THREADS / 4;
const int blocksPerGrid = (output.lengthOf() + threadsPerBlock - 1) / threadsPerBlock;
const int sharedMem = 8 * threadsPerBlock * output.rankOf() + 128;
const auto xType = input.dataType();
const auto yType = paddings.dataType();
BUILD_DOUBLE_SELECTOR(xType, yType, padCudaLauncher, (blocksPerGrid, threadsPerBlock, sharedMem, context->getCudaStream(), mode, input.getSpecialBuffer(), input.getSpecialShapeInfo(), paddings.getSpecialBuffer(), paddings.getSpecialShapeInfo(), output.getSpecialBuffer(), output.getSpecialShapeInfo(), padValue.getSpecialBuffer()), LIBND4J_TYPES, INTEGER_TYPES);
NDArray::registerSpecialUse({&output}, {&input, &paddings, &padValue});
manager.synchronize();
}
///////////////////////////////////////////////////////////////////
void pad(nd4j::LaunchContext * context, const int mode, const NDArray& input, const NDArray& paddings, NDArray& output, const NDArray& padValue) {