127 lines
5.0 KiB
C++
Executable File
127 lines
5.0 KiB
C++
Executable File
/*******************************************************************************
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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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* scalar.h
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*
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* Created on: Dec 28, 2015
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* Author: agibsonccc
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*/
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#ifndef SCALAR_H_
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#define SCALAR_H_
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#include <OmpLaunchHelper.h>
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#include <dll.h>
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#include <helpers/DebugHelper.h>
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#ifdef __JNI__
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#include <jni.h>
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#endif
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#include <templatemath.h>
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#include <ops/ops.h>
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#include <op_boilerplate.h>
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#include "helpers/logger.h"
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#ifdef __CUDACC__
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#include <cuda.h>
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#include <cuda_runtime.h>
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#include <types/float16.h>
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#endif
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#include "legacy_ops.h"
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namespace functions {
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namespace scalar {
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/**
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* Apply a scalar
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* operation to an array
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*/
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template<typename X, typename Y, typename Z>
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class ScalarTransform {
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public:
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#ifdef __CUDACC__
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template <typename OpType>
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__host__
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static void intermediateShaped(dim3& launchDims, cudaStream_t *stream, void *vx, Nd4jLong *xShapeInfo, Nd4jLong *hxShapeInfo, void *vz, Nd4jLong *zShapeInfo, Nd4jLong *hzShapeInfo, void* vscalar, void *vextraParams, int *allocPointer);
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template <typename OpType>
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__host__
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static void intermediateAlongDimension(dim3& launchDims, cudaStream_t *stream, void *x, Nd4jLong *xShapeInfo, void *z, Nd4jLong *zShapeInfo, void *scalars, void *extraParams, int *dimension, int dimensionLength, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadShapeInfoZ, Nd4jLong *tadOffsetsZ);
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__host__
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static void executeCudaShaped(dim3& launchDims, cudaStream_t *stream, int opNum, void *x, Nd4jLong *xShapeInfo, Nd4jLong *hxShapeInfo, void *result, Nd4jLong *resultShapeInfo, Nd4jLong *hzShapeInfo, void* scalar, void *extraParams);
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__host__
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static void executeCudaAlongDimension(dim3& launchDims, cudaStream_t *stream, int opNum, void *x, Nd4jLong *xShapeInfo, void *z, Nd4jLong *zShapeInfo, void *scalars, void *extraParams, int *dimension, int dimensionLength, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadShapeInfoZ, Nd4jLong *tadOffsetsZ);
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#endif
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template <typename OpType>
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static void transform(void *x, Nd4jLong *xShapeInfo, void *extraParams, void *z, Nd4jLong *zShapeInfo, void *scalars, int *dimension, int dimensionLength, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadShapeInfoZ, Nd4jLong *tadOffsetsZ);
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static void transform(int opNum, void *x, Nd4jLong *xShapeInfo, void *extraParams, void *z, Nd4jLong *zShapeInfo, void *scalars, int *dimension, int dimensionLength, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadShapeInfoZ, Nd4jLong *tadOffsetsZ);
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static void transform(const int opNum, void *x, Nd4jLong *xShapeInfo, void *result, Nd4jLong *resultShapeInfo, void *scalar, void *extraParams);
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static void transform(const int opNum, void *x, Nd4jLong xStride, void *result, Nd4jLong resultStride, void *scalar, void *extraParams, const Nd4jLong len);
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/*
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* ScalarOp along dimension
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*/
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/**
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* CPU implementation of scalar operation
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* @param x the input
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* @param xStride the stride for the input
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* @param result the result buffer
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* @param resultStride the stride for the result
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* @param scalar the scalar to apply
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* @param extraParams the extra parameters where
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* neccssary
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* @param len the number of elements to loop over
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*/
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template<typename OpType>
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static void transform(void *x, Nd4jLong *xShapeInfo, void *result, Nd4jLong *resultShapeInfo, void *scalar, void *extraParams);
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/**
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* CPU implementation of scalar operation
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* @param x the input
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* @param xStride the stride for the input
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* @param result the result buffer
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* @param resultStride the stride for the result
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* @param scalar the scalar to apply
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* @param extraParams the extra parameters where
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* neccssary
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* @param len the number of elements to loop over
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*/
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template<typename OpType>
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static void transform(void *x, Nd4jLong xStride, void *result, Nd4jLong resultStride, void *scalar, void *extraParams, const Nd4jLong len);
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};
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}
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}
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#endif /* SCALAR_H_ */
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