188 lines
7.8 KiB
C++
Executable File
188 lines
7.8 KiB
C++
Executable File
/* ******************************************************************************
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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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* 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 <helpers/OmpLaunchHelper.h>
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#include <system/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 <math/templatemath.h>
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#include <ops/ops.h>
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#include <system/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,
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const void *vx, const Nd4jLong *xShapeInfo, const Nd4jLong *hxShapeInfo,
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void *vz, const Nd4jLong *zShapeInfo, const Nd4jLong *hzShapeInfo,
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const void* vscalar,
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void *vextraParams,
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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,
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const void *x, const Nd4jLong *xShapeInfo,
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void *z, const Nd4jLong *zShapeInfo,
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const void *scalars,
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void *extraParams,
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int *dimension, int dimensionLength,
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const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
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const Nd4jLong *tadShapeInfoZ, const Nd4jLong *tadOffsetsZ);
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__host__
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static void executeCudaShaped(dim3& launchDims, cudaStream_t *stream,
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int opNum,
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const void *x, const Nd4jLong *xShapeInfo, const Nd4jLong *hxShapeInfo,
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void *result, const Nd4jLong *resultShapeInfo, const Nd4jLong *hzShapeInfo,
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const void* scalar,
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void *extraParams);
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__host__
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static void executeCudaAlongDimension(dim3& launchDims, cudaStream_t *stream,
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int opNum,
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const void *x, const Nd4jLong *xShapeInfo,
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void *z, const Nd4jLong *zShapeInfo,
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const void *scalars,
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void *extraParams,
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int *dimension, int dimensionLength,
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const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
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const Nd4jLong *tadShapeInfoZ, const Nd4jLong *tadOffsetsZ);
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#else
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template <typename OpType>
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static void transform(const void *x, const Nd4jLong *xShapeInfo,
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void *extraParams,
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void *z, const Nd4jLong *zShapeInfo,
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const void *scalars,
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int *dimension, int dimensionLength,
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const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
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const Nd4jLong *tadShapeInfoZ, const Nd4jLong *tadOffsetsZ,
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uint64_t start, uint64_t stop);
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static void transform(int opNum,
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const void *x, const Nd4jLong *xShapeInfo,
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void *extraParams,
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void *z, const Nd4jLong *zShapeInfo,
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const void *scalars,
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int *dimension, int dimensionLength,
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const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
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const Nd4jLong *tadShapeInfoZ, const Nd4jLong *tadOffsetsZ,
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uint64_t start, uint64_t stop);
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static void transform(int opNum,
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const void *x, const Nd4jLong *xShapeInfo,
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void *result, const Nd4jLong *resultShapeInfo,
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const void *scalar,
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void *extraParams,
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uint64_t start, uint64_t stop);
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static void transform(int opNum,
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const void *x, Nd4jLong xStride,
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void *result, Nd4jLong resultStride,
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const void *scalar,
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void *extraParams,
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uint64_t len, uint64_t start, uint64_t stop);
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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(const void *x, const Nd4jLong *xShapeInfo,
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void *result, const Nd4jLong *resultShapeInfo,
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const void *scalar,
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void *extraParams,
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uint64_t start, uint64_t stop);
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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(const void *x, Nd4jLong xStride,
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void *result, Nd4jLong resultStride,
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const void *scalar,
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void *extraParams,
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uint64_t len, uint64_t start, uint64_t stop);
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#endif
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};
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}
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}
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#endif /* SCALAR_H_ */
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