239 lines
11 KiB
Plaintext
239 lines
11 KiB
Plaintext
/* ******************************************************************************
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*
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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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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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 Yurii Shyrma (iuriish@yahoo.com), created on 08.11.2018
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// @author raver119@gmail.com
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//
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#include "../scalar_bool.h"
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#include <system/op_boilerplate.h>
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#include <types/types.h>
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#include "../legacy_ops.h"
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using namespace simdOps;
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////////////////////////////////////////////////////////////////////////
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template <typename X, typename Z, typename OpType>
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__global__ void scalarAlongDimension(void const* x, Nd4jLong const* xShapeInfo,
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void *extraParams,
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void *z, Nd4jLong const* zShapeInfo,
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void const* scalars,
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int *dimension, int dimensionLength,
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Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
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Nd4jLong const* tadShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
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functions::scalar::ScalarBoolTransform<X,Z>::template transformCuda<OpType>(x, xShapeInfo, extraParams, z, zShapeInfo, scalars, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ);
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}
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////////////////////////////////////////////////////////////////////////
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template <typename X, typename Z, typename OpType>
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__global__ void scalarSimpleShaped(void const* x, void const* y, Nd4jLong const* xShapeInfo, void *params, void *z, Nd4jLong const* zShapeInfo, int *allocationBuffer) {
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functions::scalar::ScalarBoolTransform<X,Z>::template transformCuda<OpType>(y, x, xShapeInfo, params, z, zShapeInfo, allocationBuffer);
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}
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// *********************************************************************//
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// *********************************************************************//
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namespace functions {
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namespace scalar {
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////////////////////////////////////////////////////////////////////////
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template<typename X, typename Z>
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template<typename OpType>
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__device__ void ScalarBoolTransform<X, Z>::transformCuda(void const* vscalar,
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void const* vy, Nd4jLong const* yShapeInfo,
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void *vparams,
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void *vz, Nd4jLong const* zShapeInfo,
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int *allocationBuffer) {
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auto scalar = reinterpret_cast<X const* >(vscalar)[0];
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auto y = reinterpret_cast<X const* >(vy);
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auto params = reinterpret_cast<X*>(vparams);
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auto z = reinterpret_cast<Z*>(vz);
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auto yRank = shape::rank(yShapeInfo);
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auto yEWS = shape::elementWiseStride(yShapeInfo);
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auto yShape = shape::shapeOf(yShapeInfo);
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auto yStride = shape::stride(yShapeInfo);
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auto zRank = shape::rank(zShapeInfo);
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auto zEWS = shape::elementWiseStride(zShapeInfo);
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auto zShape = shape::shapeOf(zShapeInfo);
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auto zStride = shape::stride(zShapeInfo);
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int totalThreads = gridDim.x * blockDim.x;
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int tid = blockIdx.x * blockDim.x + threadIdx.x;
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__shared__ int len;
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if(threadIdx.x == 0)
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len = shape::length(yShapeInfo);
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__syncthreads();
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if(yEWS >= 1 && zEWS >= 1 && shape::order(yShapeInfo) == shape::order(zShapeInfo)) {
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transformCuda<OpType>(len, vscalar, vy, yEWS, vparams, vz, zEWS, allocationBuffer);
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}
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else {
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for (Nd4jLong i = tid; i < len; i+= totalThreads)
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z[shape::getIndexOffset(i, zShapeInfo)] = OpType::op(y[shape::getIndexOffset(i, yShapeInfo)], scalar, params);
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}
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}
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////////////////////////////////////////////////////////////////////////
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template<typename X, typename Z>
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template<typename OpType>
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__device__ void ScalarBoolTransform<X, Z>::transformCuda(Nd4jLong len,
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void const* vx,
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void const* vy, Nd4jLong yEWS,
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void *vparams,
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void *vz, Nd4jLong zEWS,
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int *allocationBuffer) {
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auto x = reinterpret_cast<X const*>(vx)[0];
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auto y = reinterpret_cast<X const*>(vy);
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auto z = reinterpret_cast<Z*>(vz);
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auto params = reinterpret_cast<X*>(vparams);
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int totalThreads = gridDim.x * blockDim.x;
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int tid = blockIdx.x * blockDim.x + threadIdx.x;
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Nd4jLong i = tid;
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if(yEWS == 1 && zEWS == 1) {
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for (; i < len; i += totalThreads)
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z[i] = OpType::op(y[i], x, params);
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}
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else {
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for (; i < len; i += totalThreads)
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z[i * zEWS] = OpType::op(y[i * yEWS], x, params);
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}
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}
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////////////////////////////////////////////////////////////////////////
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template<typename X, typename Z>
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template<typename OpType>
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__device__ void ScalarBoolTransform<X, Z>::transformCuda(void const* vx, Nd4jLong const* xShapeInfo,
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void *vextraParams,
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void *vz, Nd4jLong const* zShapeInfo,
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void const* vscalars,
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int *dimension, int dimensionLength,
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Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
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Nd4jLong const* tadShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
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auto x = reinterpret_cast<X const*>(vx);
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auto scalars = reinterpret_cast<X const*>(vscalars);
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auto z = reinterpret_cast<Z*>(vz);
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auto extraParams = reinterpret_cast<X*>(vextraParams);
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if (tadShapeInfoZ == nullptr) {
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tadShapeInfoZ = tadShapeInfo;
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tadOffsetsZ = tadOffsets;
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}
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// tad preparation
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auto tadEws = shape::elementWiseStride(tadShapeInfo);
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auto zEws = shape::elementWiseStride(tadShapeInfoZ);
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auto tadLength = shape::length(tadShapeInfo);//shape::tadLength(xShapeInfo, dimension, dimensionLength);
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auto numTads =shape::length(xShapeInfo) / tadLength;
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if (tadEws > 0 && zEws > 0 && shape::order(tadShapeInfo) == shape::order(zShapeInfo)) {
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// main loop, rolling over tads
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for (int r = blockIdx.x; r < numTads; r += gridDim.x) {
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Z *oZ = z + tadOffsetsZ[r];
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auto oX = x + tadOffsets[r];
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auto s = scalars[r];
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for (int f = threadIdx.x; f < tadLength; f += blockDim.x)
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oZ[f * zEws] = OpType::op(oX[f * tadEws], s, extraParams);
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}
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} else {
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// main loop, rolling over tads
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for (int r = blockIdx.x; r < numTads; r += gridDim.x) {
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Z *oZ = z + tadOffsetsZ[r];
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auto oX = x + tadOffsets[r];
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auto s = scalars[r];
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for (int f = threadIdx.x; f < tadLength; f += blockDim.x)
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oZ[shape::getIndexOffset(f, tadShapeInfoZ)] = OpType::op(oX[shape::getIndexOffset(f, tadShapeInfo)], s, extraParams);
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}
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}
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}
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////////////////////////////////////////////////////////////////////////
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template<typename X, typename Z>
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template <typename OpType>
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_CUDA_H void ScalarBoolTransform<X, Z>::intermediateAlongDimension(dim3& launchDims, cudaStream_t *stream,
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void const* x, Nd4jLong const* xShapeInfo,
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void *z, Nd4jLong const* zShapeInfo,
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void const* scalars,
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void *extraParams,
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int *dimension, int dimensionLength,
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Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
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Nd4jLong const* tadShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
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scalarAlongDimension<X, Z, OpType><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(x, xShapeInfo, extraParams, z, zShapeInfo, scalars, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ);
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sd::DebugHelper::checkErrorCode(stream, "scalarAlongDim(...) failed");
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}
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////////////////////////////////////////////////////////////////////////
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template<typename X, typename Z>
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template<typename OpType>
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void _CUDA_H ScalarBoolTransform<X,Z>::intermediateShaped(dim3& launchDims, cudaStream_t *stream,
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void const* vx, Nd4jLong const* xShapeInfo,
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void *vz, Nd4jLong const* zShapeInfo,
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void const* vscalar,
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void *vextraParams, int *allocPointer){
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scalarSimpleShaped<X, Z, OpType><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(vx, vscalar, xShapeInfo, vextraParams, vz, zShapeInfo, allocPointer);
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sd::DebugHelper::checkErrorCode(stream, "scalarSimpleShaped(...) failed");
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}
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////////////////////////////////////////////////////////////////////////
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template<typename X, typename Y>
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void ScalarBoolTransform<X,Y>::executeCudaShaped(dim3& launchDims, cudaStream_t *stream,
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int opNum,
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void const* vx, Nd4jLong const* xShapeInfo,
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void *vz, Nd4jLong const* zShapeInfo,
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void const* vscalar,
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void const* vextraParams) {
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if (sd::Environment::getInstance().isDebugAndVerbose())
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printf("H14 opNum:[%i]\n", opNum);
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DISPATCH_BY_OPNUM_TT(intermediateShaped, PARAMS(launchDims, stream, vx, xShapeInfo, vz, zShapeInfo, vscalar, const_cast<void*>(vextraParams), nullptr), SCALAR_BOOL_OPS);
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}
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////////////////////////////////////////////////////////////////////////
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template<typename X, typename Y>
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void ScalarBoolTransform<X,Y>::executeCudaAlongDimension(dim3& launchDims, cudaStream_t *stream, int opNum, void const* vx, Nd4jLong const* xShapeInfo, void *vz, Nd4jLong const* zShapeInfo, void const* vscalars, void *vextraParams, int *dimension, int dimensionLength, Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets, Nd4jLong const* tadShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
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DISPATCH_BY_OPNUM_TT(intermediateAlongDimension, PARAMS(launchDims, stream, vx, xShapeInfo, vz, zShapeInfo, vscalars, vextraParams, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ), SCALAR_BOOL_OPS);
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}
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BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT ScalarBoolTransform, , LIBND4J_TYPES, BOOL_TYPES);
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}
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}
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