cavis/libnd4j/include/loops/cuda/broadcasting_int.cu

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/*******************************************************************************
* 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
******************************************************************************/
//
// @author raver119@gmail.com
//
#include <op_boilerplate.h>
#include <loops/broadcasting_int.h>
#include <loops/legacy_ops.h>
#include <types/types.h>
#include <Environment.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <string>
#include <stdexcept>
#include <StringUtils.h>
using namespace simdOps;
//////////////////////////////////////////////////////////////////////////
template<typename X, typename OpClass>
static __global__ void broadcastIntSimple(
void *x,
Nd4jLong *xShapeInfo,
void *y,
Nd4jLong *yShapeInfo,
void *z,
Nd4jLong *zShapeInfo,
int *dimension,
int dimensionLength, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadOnlyShapeInfoZ, Nd4jLong *tadOffsetsZ) {
functions::broadcast::BroadcastInt<X>::template transformCuda<OpClass>(x,xShapeInfo,y,yShapeInfo,z,zShapeInfo,dimension,dimensionLength,tadOnlyShapeInfo,tadOffsets,tadOnlyShapeInfoZ,tadOffsetsZ);
}
//////////////////////////////////////////////////////////////////////////
template<typename X, typename OpClass>
static __global__ void broadcastBoolInverseSimple(
void *x,
Nd4jLong *xShapeInfo,
void *y,
Nd4jLong *yShapeInfo,
void *z,
Nd4jLong *zShapeInfo,
int *dimension,
int dimensionLength, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadOnlyShapeInfoZ, Nd4jLong *tadOffsetsZ) {
functions::broadcast::BroadcastInt<X>::template transformInverseCuda<OpClass>(x,xShapeInfo,y,yShapeInfo,z,zShapeInfo,dimension,dimensionLength,tadOnlyShapeInfo,tadOffsets,tadOnlyShapeInfoZ,tadOffsetsZ);
}
namespace functions {
namespace broadcast {
//////////////////////////////////////////////////////////////////////////
template<typename X>
template <typename OpClass>
__host__ void BroadcastInt<X>::intermediateBroadcast(dim3 launchDims, cudaStream_t *stream, void *x, Nd4jLong *xShapeInfo, void *y, Nd4jLong *yShapeInfo, void *z, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadOnlyShapeInfoZ, Nd4jLong *tadOffsetsZ) {
broadcastIntSimple<X, OpClass><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ);
}
//////////////////////////////////////////////////////////////////////////
template<typename X>
__host__ void BroadcastInt<X>::execBroadcast(dim3 launchDims, cudaStream_t *stream, int opNum, void *x, Nd4jLong *xShapeInfo, void *y, Nd4jLong *yShapeInfo, void *z, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadOnlyShapeInfoZ, Nd4jLong *tadOffsetsZ) {
DISPATCH_BY_OPNUM_T(intermediateBroadcast, PARAMS(launchDims, stream, x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), OPS_A(BROADCAST_INT_OPS))
}
//////////////////////////////////////////////////////////////////////////
template<typename X>
template <typename OpClass>
__host__ void BroadcastInt<X>::intermediateInverseBroadcast(dim3 launchDims, cudaStream_t *stream, void *x, Nd4jLong *xShapeInfo, void *y, Nd4jLong *yShapeInfo, void *z, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadOnlyShapeInfoZ, Nd4jLong *tadOffsetsZ) {
broadcastBoolInverseSimple<X, OpClass><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ);
}
//////////////////////////////////////////////////////////////////////////
template<typename X>
__host__ void BroadcastInt<X>::execInverseBroadcast(dim3 launchDims, cudaStream_t *stream, int opNum, void *x, Nd4jLong *xShapeInfo, void *y, Nd4jLong *yShapeInfo, void *z, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadOnlyShapeInfoZ, Nd4jLong *tadOffsetsZ) {
DISPATCH_BY_OPNUM_T(intermediateInverseBroadcast, PARAMS(launchDims, stream, x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), OPS_A(BROADCAST_INT_OPS))
}
//////////////////////////////////////////////////////////////////////////
template<typename X>
template <typename OpType>
__device__ void BroadcastInt<X>::transformInverseCuda(
void *vx, Nd4jLong *xShapeInfo,
void *vy, Nd4jLong *yShapeInfo,
void *vz, Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadOnlyShapeInfoZ, Nd4jLong *tadOffsetsZ) {
if (tadOnlyShapeInfoZ == nullptr) {
tadOnlyShapeInfoZ = tadOnlyShapeInfo;
tadOffsetsZ = tadOffsets;
}
auto x = reinterpret_cast<X*>(vx);
auto y = reinterpret_cast<X*>(vy);
auto z = reinterpret_cast<X*>(vz);
//decompose in to several sub tads after
//moving all dimensions (in sorted order)
//to the back.
//permuted version of the x shape info for setting up the tad problem
__shared__ Nd4jLong tadLength;
__shared__ Nd4jLong tadEWS;
__shared__ int numTads;
__shared__ Nd4jLong xEWS;
__shared__ Nd4jLong zEWS;
if (threadIdx.x == 0) {
tadLength = shape::length(tadOnlyShapeInfo);//shape::tadLength(xShapeInfo, dimension, dimensionLength);
tadEWS = shape::elementWiseStride(tadOnlyShapeInfo);
numTads = shape::length(yShapeInfo) / tadLength;
xEWS = shape::elementWiseStride(xShapeInfo);
zEWS = shape::elementWiseStride(tadOnlyShapeInfoZ);
}
__syncthreads();
for (int r = blockIdx.x; r < numTads; r += gridDim.x) {
auto rZ = z + tadOffsetsZ[r];
auto rY = y + tadOffsets[r];
if(tadEWS > 0 && zEWS > 0 && xEWS > 0 && dimensionLength == 1) {
for (int i = threadIdx.x; i < tadLength; i+= blockDim.x)
rZ[i * zEWS] = OpType::op(x[i * xEWS], rY[i * tadEWS]);
}
else {
// it is expected that x and z tads and y array all have the same length
for (Nd4jLong i = threadIdx.x; i < tadLength; i+= blockDim.x) {
auto xOffset = shape::getIndexOffset(i, xShapeInfo, tadLength);
auto yOffset = shape::getIndexOffset(i, tadOnlyShapeInfo, tadLength);
auto zOffset = shape::getIndexOffset(i, tadOnlyShapeInfoZ, tadLength);
rZ[zOffset] = OpType::op(x[xOffset], rY[yOffset]);
}
}
}
}
//////////////////////////////////////////////////////////////////////////
template<typename X>
template <typename OpType>
__device__ void BroadcastInt<X>::transformCuda(
void *vx, Nd4jLong *xShapeInfo,
void *vy, Nd4jLong *yShapeInfo,
void *vz, Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *tadOnlyShapeInfoZ, Nd4jLong *tadOffsetsZ) {
if (tadOnlyShapeInfoZ == nullptr) {
tadOnlyShapeInfoZ = tadOnlyShapeInfo;
tadOffsetsZ = tadOffsets;
}
auto x = reinterpret_cast<X*>(vx);
auto y = reinterpret_cast<X*>(vy);
auto z = reinterpret_cast<X*>(vz);
//decompose in to several sub tads after
//moving all dimensions (in sorted order)
//to the back.
//permuted version of the x shape info for setting up the tad problem
__shared__ Nd4jLong tadLength;
__shared__ Nd4jLong tadEWS;
__shared__ int numTads;
__shared__ Nd4jLong yEWS;
__shared__ Nd4jLong zEWS;
if (threadIdx.x == 0) {
tadLength = shape::length(tadOnlyShapeInfo);//shape::tadLength(xShapeInfo, dimension, dimensionLength);
tadEWS = shape::elementWiseStride(tadOnlyShapeInfo);
numTads = shape::length(xShapeInfo) / tadLength;
yEWS = shape::elementWiseStride(yShapeInfo);
zEWS = shape::elementWiseStride(tadOnlyShapeInfoZ);
}
__syncthreads();
__shared__ X *rZ;
__shared__ X *rX;
for (int r = blockIdx.x; r < numTads; r += gridDim.x) {
if (threadIdx.x == 0) {
rZ = z + tadOffsetsZ[r];
rX = x + tadOffsets[r];
}
__syncthreads();
if(tadEWS > 0 && zEWS > 0 && yEWS > 0 && dimensionLength == 1) {
for (int i = threadIdx.x; i < tadLength; i+= blockDim.x)
rZ[i * zEWS] = OpType::op(rX[i * tadEWS], y[i * yEWS]);
}
else {
// it is expected that x and z tads and y array all have the same length
for (Nd4jLong i = threadIdx.x; i < tadLength; i+= blockDim.x) {
auto xOffset = shape::getIndexOffset(i, tadOnlyShapeInfo, tadLength);
auto yOffset = shape::getIndexOffset(i, yShapeInfo, tadLength);
auto zOffset = shape::getIndexOffset(i, tadOnlyShapeInfoZ, tadLength);
rZ[zOffset] = OpType::op(rX[xOffset], y[yOffset]);
}
}
}
}
template<typename X>
void BroadcastInt<X>::exec(int opNum,
void *x,
Nd4jLong *xShapeInfo,
void *y,
Nd4jLong *yShapeInfo,
void *result,
Nd4jLong *resultShapeInfo,
int *dimension,
int dimensionLength,
Nd4jLong *tadShapeInfo,
Nd4jLong *tadOffset,
Nd4jLong *tadShapeInfoZ,
Nd4jLong *tadOffsetZ) {
}
template<typename X>
void BroadcastInt<X>::execInverse(int opNum,
void *x,
Nd4jLong *xShapeInfo,
void *y,
Nd4jLong *yShapeInfo,
void *result,
Nd4jLong *resultShapeInfo,
int *dimension,
int dimensionLength,
Nd4jLong *tadShapeInfo,
Nd4jLong *tadOffset,
Nd4jLong *tadShapeInfoZ,
Nd4jLong *tadOffsetZ) {
}
template<typename X>
template<typename OpType>
void BroadcastInt<X>::exec(void *x,
Nd4jLong *xShapeInfo,
void *y,
Nd4jLong *yShapeInfo,
void *result,
Nd4jLong *resultShapeInfo,
int *dimension,
int dimensionLength,
Nd4jLong *tadShapeInfo,
Nd4jLong *tadOffset,
Nd4jLong *tadShapeInfoZ,
Nd4jLong *tadOffsetZ) {
}
template<typename X>
template<typename OpType>
void BroadcastInt<X>::execInverse(void *x,
Nd4jLong *xShapeInfo,
void *y,
Nd4jLong *yShapeInfo,
void *result,
Nd4jLong *resultShapeInfo,
int *dimension,
int dimensionLength,
Nd4jLong *tadShapeInfo,
Nd4jLong *tadOffset,
Nd4jLong *tadShapeInfoZ,
Nd4jLong *tadOffsetZ) {
}
BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT BroadcastInt, , INTEGER_TYPES);
}
}