203 lines
7.3 KiB
C
203 lines
7.3 KiB
C
|
/*******************************************************************************
|
||
|
|
* 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
|
||
|
|
******************************************************************************/
|
||
|
|
|
||
|
|
|
||
|
|
#ifndef REDUCE_FLOAT_H
|
||
|
|
#define REDUCE_FLOAT_H
|
||
|
|
#include <dll.h>
|
||
|
|
//#include <string>
|
||
|
|
#include <stdio.h>
|
||
|
|
#include <helpers/shape.h>
|
||
|
|
#ifdef _OPENMP
|
||
|
|
#include <omp.h>
|
||
|
|
#endif
|
||
|
|
#include <templatemath.h>
|
||
|
|
#include <nd4jmalloc.h>
|
||
|
|
#include <pairwise_util.h>
|
||
|
|
#include <ops/ops.h>
|
||
|
|
#include <ops/special_accumulation_ops.h>
|
||
|
|
#include <op_boilerplate.h>
|
||
|
|
|
||
|
|
#pragma once
|
||
|
|
#ifdef __CUDACC__
|
||
|
|
#include <cuda.h>
|
||
|
|
#include <cuda_runtime.h>
|
||
|
|
#endif
|
||
|
|
|
||
|
|
#ifndef _OPENMP
|
||
|
|
#define omp_get_thread_num() 0
|
||
|
|
#define omp_get_max_threads() 1
|
||
|
|
#endif
|
||
|
|
|
||
|
|
#include "legacy_ops.h"
|
||
|
|
|
||
|
|
//an op for the kernel
|
||
|
|
namespace functions {
|
||
|
|
namespace reduce {
|
||
|
|
|
||
|
|
/**
|
||
|
|
* A reduce function
|
||
|
|
* reduces a vector down to
|
||
|
|
* a subset of itself
|
||
|
|
* via aggregating member
|
||
|
|
* elements.
|
||
|
|
*/
|
||
|
|
template<typename X, typename Z>
|
||
|
|
class ReduceFloatFunction {
|
||
|
|
|
||
|
|
public:
|
||
|
|
|
||
|
|
#ifdef __CUDACC__
|
||
|
|
template<typename OpType>
|
||
|
|
static __device__ void aggregatePartials(void *sPartials, Nd4jLong tid, Nd4jLong numItems, void *extraParams);
|
||
|
|
|
||
|
|
template<typename OpType>
|
||
|
|
static __device__ void execScalarCuda( void *vx, Nd4jLong *xShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, void *reductionBuffer, Nd4jLong *tadOnlyShapeInfo);
|
||
|
|
|
||
|
|
template<typename OpType>
|
||
|
|
static __device__ void transformCudaXD( void *vx, Nd4jLong *xShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, void *reductionBuffer, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets);
|
||
|
|
|
||
|
|
template<typename OpType>
|
||
|
|
static __host__ void intermediateScalar(dim3 launchDims, cudaStream_t *stream, void *vx, Nd4jLong *xShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, void *reductionBuffer, Nd4jLong *tadOnlyShapeInfo);
|
||
|
|
|
||
|
|
template<typename OpType>
|
||
|
|
static __host__ void intermediateXD(dim3 launchDims, cudaStream_t *stream, void *vx, Nd4jLong *xShapeInfo, void *extraParams, void *vz, Nd4jLong *zShape, int *dimension, int dimensionLength, void *reductionPointer, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets);
|
||
|
|
|
||
|
|
static __host__ void execReduceScalar(dim3 launchDims, cudaStream_t *stream, int opNum, void *vx, Nd4jLong *xShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, void *reductionBuffer, Nd4jLong *tadOnlyShapeInfo);
|
||
|
|
|
||
|
|
static __host__ void execReduceXD(dim3 launchDims, cudaStream_t *stream, int opNum, int rank, void *vx, Nd4jLong *xShapeInfo, void *extraParams, void *vz, Nd4jLong *zShape, int *dimension, int dimensionLength, void *reductionPointer, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets);
|
||
|
|
#endif
|
||
|
|
|
||
|
|
/**
|
||
|
|
* Reduce down to 1 number
|
||
|
|
* @param vx the input
|
||
|
|
* @param xShapeInfo the shape information
|
||
|
|
* for the input
|
||
|
|
* @param extraParams the extra params
|
||
|
|
* @return
|
||
|
|
*/
|
||
|
|
template<typename OpType>
|
||
|
|
static _CUDA_H Z execScalar(void *vx,
|
||
|
|
Nd4jLong *xShapeInfo,
|
||
|
|
void *extraParams);
|
||
|
|
|
||
|
|
template<typename OpType>
|
||
|
|
static _CUDA_H void execScalar(void *vx,
|
||
|
|
Nd4jLong *xShapeInfo,
|
||
|
|
void *extraParams,
|
||
|
|
void *vz,
|
||
|
|
Nd4jLong *zShapeInfo);
|
||
|
|
|
||
|
|
|
||
|
|
static Z execScalar(int opNum,
|
||
|
|
void *vx,
|
||
|
|
Nd4jLong *xShapeInfo,
|
||
|
|
void *extraParams);
|
||
|
|
|
||
|
|
static void execScalar(int opNum,
|
||
|
|
void *vx,
|
||
|
|
Nd4jLong *xShapeInfo,
|
||
|
|
void *extraParams,
|
||
|
|
void *vz,
|
||
|
|
Nd4jLong *zShapeInfo);
|
||
|
|
|
||
|
|
static void exec(int opNum,
|
||
|
|
void *vx,
|
||
|
|
Nd4jLong *xShapeInfo,
|
||
|
|
void *extraParams,
|
||
|
|
void *vz,
|
||
|
|
Nd4jLong *resultShapeInfoBuffer,
|
||
|
|
int *dimension,
|
||
|
|
int dimensionLength,
|
||
|
|
Nd4jLong *tadShapeInfo,
|
||
|
|
Nd4jLong *tadOffset);
|
||
|
|
|
||
|
|
/**
|
||
|
|
* Execute on the cpu
|
||
|
|
* @param vx the input data
|
||
|
|
* @param xShapeInfo the shape information for vx
|
||
|
|
* @param extraParams the extra parameters
|
||
|
|
* @param vz the vz buffer
|
||
|
|
* @param resultShapeInfoBuffer the shape information
|
||
|
|
* @param dimension the dimension to perform
|
||
|
|
* the reduce along long
|
||
|
|
* @param dimensionLength the length of the dimension buffer
|
||
|
|
*/
|
||
|
|
|
||
|
|
|
||
|
|
template<typename OpType>
|
||
|
|
static void _CUDA_H exec(void *vx,
|
||
|
|
Nd4jLong *xShapeInfo,
|
||
|
|
void *extraParams,
|
||
|
|
void *vz,
|
||
|
|
Nd4jLong *resultShapeInfoBuffer,
|
||
|
|
int *dimension,
|
||
|
|
int dimensionLength,
|
||
|
|
Nd4jLong *tadShapeInfo,
|
||
|
|
Nd4jLong *tadOffset);
|
||
|
|
|
||
|
|
/**
|
||
|
|
* CPU implementation
|
||
|
|
* @param vx the input data
|
||
|
|
* @param xShapeInfo the shape information for
|
||
|
|
* the input data
|
||
|
|
* @param extraParams the extra parameters for the problem
|
||
|
|
* @param vz the vz buffer
|
||
|
|
* @param zShapeInfo the shape information
|
||
|
|
*/
|
||
|
|
template<typename OpType>
|
||
|
|
static void _CUDA_H exec(void *vx,
|
||
|
|
Nd4jLong *xShapeInfo,
|
||
|
|
void *extraParams,
|
||
|
|
void *vz,
|
||
|
|
Nd4jLong *zShapeInfo);
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
/**
|
||
|
|
* Reduce down to 1 number
|
||
|
|
* @param vx the input
|
||
|
|
* @param xShapeInfo the shape information
|
||
|
|
* for the input
|
||
|
|
* @param extraParams the extra params
|
||
|
|
* @return
|
||
|
|
*/
|
||
|
|
template<typename OpType>
|
||
|
|
static Z _CUDA_H execScalar(void *vx,
|
||
|
|
Nd4jLong xElementWiseStride,
|
||
|
|
Nd4jLong length,
|
||
|
|
void *extraParams);
|
||
|
|
};
|
||
|
|
|
||
|
|
#ifdef __CUDACC__
|
||
|
|
/**
|
||
|
|
*
|
||
|
|
* @param extraParams
|
||
|
|
* @param sPartials
|
||
|
|
* @param sMemSize
|
||
|
|
*/
|
||
|
|
template<typename T>
|
||
|
|
__device__ void initializeShared(T *extraParams, T **sPartials, int sMemSize);
|
||
|
|
|
||
|
|
#endif
|
||
|
|
|
||
|
|
}
|
||
|
|
|
||
|
|
}
|
||
|
|
|
||
|
|
#endif
|
||
|
|
|