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

320 lines
16 KiB
Plaintext

/*******************************************************************************
* 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 <system/op_boilerplate.h>
#include <loops/broadcasting_bool.h>
#include <loops/legacy_ops.h>
#include <types/types.h>
#include <system/Environment.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <string>
#include <stdexcept>
#include <helpers/StringUtils.h>
using namespace simdOps;
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Z, typename OpClass>
static __global__ void broadcastBoolSimple(
void const* x,
Nd4jLong const* xShapeInfo,
void const* y,
Nd4jLong const* yShapeInfo,
void *z,
Nd4jLong const* zShapeInfo,
void *extraParams,
int *dimension,
int dimensionLength, Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets, Nd4jLong const* tadOnlyShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
functions::broadcast::BroadcastBool<X, Z>::template transformCuda<OpClass>(x,xShapeInfo,y,yShapeInfo,z,zShapeInfo, extraParams, dimension,dimensionLength,tadOnlyShapeInfo,tadOffsets,tadOnlyShapeInfoZ,tadOffsetsZ);
}
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Z, typename OpClass>
static __global__ void broadcastBoolSimple(const void const* x, const Nd4jLong const* xShapeInfo,
const void const* y, const Nd4jLong const* yShapeInfo,
void *z, const Nd4jLong const* zShapeInfo,
void *extraParams) {
functions::broadcast::BroadcastBool<X, Z>::template transformCuda<OpClass>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, extraParams);
}
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Z, typename OpClass>
static __global__ void broadcastBoolInverseSimple(
void const* x,
Nd4jLong const* xShapeInfo,
void const* y,
Nd4jLong const* yShapeInfo,
void *z,
Nd4jLong const* zShapeInfo,
void *extraParams,
int *dimension,
int dimensionLength, Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets, Nd4jLong const* tadOnlyShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
functions::broadcast::BroadcastBool<X, Z>::template transformInverseCuda<OpClass>(x,xShapeInfo,y,yShapeInfo,z,zShapeInfo,extraParams,dimension,dimensionLength,tadOnlyShapeInfo,tadOffsets,tadOnlyShapeInfoZ,tadOffsetsZ);
}
namespace functions {
namespace broadcast {
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Z>
template <typename OpClass>
__host__ void BroadcastBool<X,Z>::intermediateBroadcast(dim3 launchDims, cudaStream_t *stream, void const* x, Nd4jLong const* xShapeInfo, void const* y, Nd4jLong const* yShapeInfo, void* z, Nd4jLong const* zShapeInfo, void *extraParams, int *dimension, int dimensionLength, Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets, Nd4jLong const* tadOnlyShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
broadcastBoolSimple<X, Z, OpClass><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, extraParams, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ);
sd::DebugHelper::checkErrorCode(stream, "intermediateBroadcastBool(...) failed");
}
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Z>
template <typename OpClass>
__host__ void BroadcastBool<X,Z>::intermediateBroadcast(dim3 launchDims, cudaStream_t *stream,
const void *x, const Nd4jLong *xShapeInfo,
const void *y, const Nd4jLong *yShapeInfo,
void *z, const Nd4jLong *zShapeInfo,
void *extraParams) {
broadcastBoolSimple<X, Z, OpClass><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, extraParams);
sd::DebugHelper::checkErrorCode(stream, "intermediateBroadcastBool(...) failed");
}
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Y>
__host__ void BroadcastBool<X,Y>::execBroadcast(dim3 launchDims, cudaStream_t *stream, int opNum, void const* x, Nd4jLong const* xShapeInfo, void const* y, Nd4jLong const* yShapeInfo, void *z, Nd4jLong const* zShapeInfo, void *extraParams, int *dimension, int dimensionLength, Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets, Nd4jLong const* tadOnlyShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
DISPATCH_BY_OPNUM_TT(intermediateBroadcast, PARAMS(launchDims, stream, x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, extraParams, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), OPS_A(BROADCAST_BOOL_OPS))
DEBUG_KERNEL(stream, opNum);
}
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Y>
__host__ void BroadcastBool<X,Y>::execBroadcast(dim3 launchDims, cudaStream_t *stream, const int opNum,
const void *x, const Nd4jLong *xShapeInfo,
const void *y, const Nd4jLong *yShapeInfo,
void *z, const Nd4jLong *zShapeInfo,
void *extraParams) {
DISPATCH_BY_OPNUM_TT(intermediateBroadcast, PARAMS(launchDims, stream, x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, extraParams), OPS_A(BROADCAST_BOOL_OPS))
DEBUG_KERNEL(stream, opNum);
}
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Z>
template <typename OpClass>
__host__ void BroadcastBool<X,Z>::intermediateInverseBroadcast(dim3 launchDims, cudaStream_t *stream, void const* x, Nd4jLong const* xShapeInfo, void const* y, Nd4jLong const* yShapeInfo, void *z, Nd4jLong const* zShapeInfo, void *extraParams, int *dimension, int dimensionLength, Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets, Nd4jLong const* tadOnlyShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
broadcastBoolInverseSimple<X, Z, OpClass><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, extraParams, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ);
sd::DebugHelper::checkErrorCode(stream, "intermediateBroadcastBool(...) failed");
}
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Y>
__host__ void BroadcastBool<X,Y>::execInverseBroadcast(dim3 launchDims, cudaStream_t *stream, int opNum, void const* x, Nd4jLong const* xShapeInfo, void const* y, Nd4jLong const* yShapeInfo, void *z, Nd4jLong const* zShapeInfo, void *extraParams, int *dimension, int dimensionLength, Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets, Nd4jLong const* tadOnlyShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
DISPATCH_BY_OPNUM_TT(intermediateInverseBroadcast, PARAMS(launchDims, stream, x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, extraParams, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), OPS_A(BROADCAST_BOOL_OPS))
DEBUG_KERNEL(stream, opNum);
}
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Z>
template <typename OpType>
__device__ void BroadcastBool<X,Z>::transformInverseCuda(
void const* vx, Nd4jLong const* xShapeInfo,
void const* vy, Nd4jLong const* yShapeInfo,
void *vz, Nd4jLong const* zShapeInfo,
void *vextraParams,
int *dimension, int dimensionLength,
Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets, Nd4jLong const* tadOnlyShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
if (tadOnlyShapeInfoZ == nullptr) {
tadOnlyShapeInfoZ = tadOnlyShapeInfo;
tadOffsetsZ = tadOffsets;
}
auto x = reinterpret_cast<X const*>(vx);
auto y = reinterpret_cast<X const*>(vy);
auto z = reinterpret_cast<Z*>(vz);
auto extraParams = reinterpret_cast<X*>(vextraParams);
//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], extraParams);
}
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);
auto yOffset = shape::getIndexOffset(i, tadOnlyShapeInfo);
auto zOffset = shape::getIndexOffset(i, tadOnlyShapeInfoZ);
rZ[zOffset] = OpType::op(x[xOffset], rY[yOffset], extraParams);
}
}
}
}
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Z>
template <typename OpType>
__device__ void BroadcastBool<X,Z>::transformCuda(
void const* vx, Nd4jLong const* xShapeInfo,
void const* vy, Nd4jLong const* yShapeInfo,
void *vz, Nd4jLong const* zShapeInfo,
void *vextraParams,
int *dimension, int dimensionLength,
Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets, Nd4jLong const* tadOnlyShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
if (tadOnlyShapeInfoZ == nullptr) {
tadOnlyShapeInfoZ = tadOnlyShapeInfo;
tadOffsetsZ = tadOffsets;
}
auto x = reinterpret_cast<X const*>(vx);
auto y = reinterpret_cast<X const*>(vy);
auto z = reinterpret_cast<Z*>(vz);
auto extraParams = reinterpret_cast<X*>(vextraParams);
//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__ Z *rZ;
__shared__ X const* 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], extraParams);
}
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);
auto yOffset = shape::getIndexOffset(i, yShapeInfo);
auto zOffset = shape::getIndexOffset(i, tadOnlyShapeInfoZ);
rZ[zOffset] = OpType::op(rX[xOffset], y[yOffset], extraParams);
}
}
}
}
//////////////////////////////////////////////////////////////////////////
template<typename X, typename Z>
template <typename OpType>
__device__ void BroadcastBool<X,Z>::transformCuda(const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
void *vextraParams) {
const X* x = reinterpret_cast<const X*>(vx);
const X* y = reinterpret_cast<const X*>(vy);
Z* z = reinterpret_cast<Z*>(vz);
auto extraParams = reinterpret_cast<X*>(vextraParams);
__shared__ Nd4jLong zLen;
__shared__ int rank;
__shared__ bool xzSameOffsets, yzSameOffsets;
if (threadIdx.x == 0) {
zLen = shape::length(zShapeInfo);
rank = shape::rank(zShapeInfo);
xzSameOffsets = shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo);
yzSameOffsets = shape::haveSameShapeAndStrides(yShapeInfo, zShapeInfo);
}
__syncthreads();
const auto tid = blockIdx.x * blockDim.x + threadIdx.x;
int xCoords[MAX_RANK], yCoords[MAX_RANK], zCoords[MAX_RANK];
for (int i = tid; i < zLen; i += blockDim.x * gridDim.x) {
shape::index2coords(i, zShapeInfo, zCoords);
for (uint j = 0; j < rank; ++j) {
xCoords[j] = shape::sizeAt(xShapeInfo, j) == 1 ? 0 : zCoords[j];
yCoords[j] = shape::sizeAt(yShapeInfo, j) == 1 ? 0 : zCoords[j];
}
const auto zOffset = shape::getOffset(zShapeInfo, zCoords);
const auto xOffset = xzSameOffsets ? zOffset : shape::getOffset(xShapeInfo, xCoords);
const auto yOffset = yzSameOffsets ? zOffset : shape::getOffset(yShapeInfo, yCoords);
z[zOffset] = OpType::op(x[xOffset], y[yOffset], extraParams);
}
}
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT BroadcastBool, , LIBND4J_TYPES, BOOL_TYPES);
}
}