150 lines
6.2 KiB
Plaintext
150 lines
6.2 KiB
Plaintext
/* ******************************************************************************
|
|
*
|
|
*
|
|
* 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.
|
|
*
|
|
* See the NOTICE file distributed with this work for additional
|
|
* information regarding copyright ownership.
|
|
* 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/Environment.h>
|
|
#include <loops/transform_float.h>
|
|
#include <types/types.h>
|
|
#include <system/op_boilerplate.h>
|
|
|
|
#include <loops/legacy_ops.h>
|
|
#include <helpers/DebugHelper.h>
|
|
|
|
using namespace simdOps;
|
|
|
|
template <typename X, typename Z, typename OpType>
|
|
__global__ void transformFloatSimple(const void *x, const Nd4jLong *xShapeInfo, int xRank,
|
|
void *params,
|
|
void *z, const Nd4jLong *zShapeInfo, int zRank,
|
|
int *allocationPointer,
|
|
void *reductionPointer,
|
|
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
|
|
|
|
functions::transform::TransformFloat<X,Z>::template transformCuda<OpType>(
|
|
x, xShapeInfo,
|
|
params,
|
|
z, zShapeInfo,
|
|
allocationPointer, reductionPointer,
|
|
tadShapeInfo, tadOffsets);
|
|
}
|
|
|
|
|
|
namespace functions {
|
|
namespace transform {
|
|
|
|
template<typename X, typename Y>
|
|
_CUDA_H void TransformFloat<X,Y>::executeTransformShaped(dim3 launchDims, cudaStream_t *stream, int opNum, const void *x, const Nd4jLong *xShape, int xRank, void *extraParams, void *z, const Nd4jLong *zShape, int zRank, int *allocationPointer, void *reductionPointer, const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
|
|
DISPATCH_BY_OPNUM_TT(intermediateShaped, PARAMS(launchDims, stream, x, xShape, xRank, extraParams, z, zShape, zRank, allocationPointer, reductionPointer, tadShapeInfo, tadOffsets), TRANSFORM_FLOAT_OPS);
|
|
|
|
DEBUG_KERNEL(stream, opNum);
|
|
}
|
|
|
|
|
|
template<typename X, typename Z>
|
|
template <typename OpType>
|
|
__device__ void TransformFloat<X,Z>::transformCuda(const void *vx, const Nd4jLong *xShapeInfo,
|
|
void *vparams,
|
|
void *vz, const Nd4jLong *zShapeInfo,
|
|
int *allocationPointer, void *vreductionPointer,
|
|
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
|
|
|
|
auto x = reinterpret_cast<const X*>(vx);
|
|
auto z = reinterpret_cast<Z*>(vz);
|
|
auto params = reinterpret_cast<Z*>(vparams);
|
|
auto reductionPointer = reinterpret_cast<Z*>(vreductionPointer);
|
|
|
|
if(OpType::requiresSpecial) {
|
|
OpType::execSpecialCuda(x,xShapeInfo,z,zShapeInfo,params, allocationPointer, reductionPointer, tadShapeInfo, tadOffsets);
|
|
return;
|
|
}
|
|
else {
|
|
|
|
__shared__ Nd4jLong xEws;
|
|
__shared__ Nd4jLong zEws;
|
|
__shared__ char xOrder;
|
|
__shared__ char zOrder;
|
|
__shared__ Nd4jLong length;
|
|
|
|
if (threadIdx.x == 0) {
|
|
|
|
xEws = shape::elementWiseStride(xShapeInfo);
|
|
zEws = shape::elementWiseStride(zShapeInfo);
|
|
xOrder = shape::order(xShapeInfo);
|
|
zOrder = shape::order(zShapeInfo);
|
|
length = shape::length(xShapeInfo);
|
|
}
|
|
__syncthreads();
|
|
|
|
auto tid = blockIdx.x * blockDim.x + threadIdx.x;
|
|
int totalThreads = gridDim.x * blockDim.x;
|
|
|
|
if(xEws > 0 && zEws > 0 && xOrder == zOrder && xOrder == 'c') {
|
|
|
|
for (Nd4jLong i = tid; i < length; i += totalThreads)
|
|
z[i * zEws] = OpType::op(x[i * xEws], params);
|
|
}
|
|
else {
|
|
if(vx == vz) {
|
|
for (Nd4jLong i = tid; i < length; i+= totalThreads) {
|
|
auto xOffset = shape::getIndexOffset(i, xShapeInfo);
|
|
z[xOffset] = OpType::op(x[xOffset], params);
|
|
}
|
|
}
|
|
else {
|
|
for (Nd4jLong i = tid; i < length; i+= totalThreads) {
|
|
auto xOffset = shape::getIndexOffset(i, xShapeInfo);
|
|
auto zOffset = shape::getIndexOffset(i, zShapeInfo);
|
|
z[zOffset] = OpType::op(x[xOffset], params);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
};
|
|
|
|
template<typename X, typename Y>
|
|
__device__ void TransformFloat<X,Y>::transformCudaLegacy(
|
|
const int opNum,
|
|
const void *x, const Nd4jLong *xShapeInfo,
|
|
void *params,
|
|
void *z, const Nd4jLong *zShapeInfo,
|
|
int *allocationPointer, void *reductionPointer,
|
|
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
|
|
DISPATCH_BY_OPNUM_TT(transformCuda, PARAMS(x, xShapeInfo, params, z, zShapeInfo, allocationPointer, reductionPointer, tadShapeInfo, tadOffsets), TRANSFORM_FLOAT_OPS);
|
|
}
|
|
|
|
template<typename X, typename Z>
|
|
template <typename OpType>
|
|
_CUDA_H void TransformFloat<X,Z>::intermediateShaped(
|
|
dim3 launchDims, cudaStream_t *stream,
|
|
const void *x, const Nd4jLong *xShape, int xRank,
|
|
void *extraParams,
|
|
void *z, const Nd4jLong *zShape, int zRank,
|
|
int *allocationPointer, void *reductionPointer,
|
|
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
|
|
transformFloatSimple<X, Z, OpType><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(x, xShape, xRank, extraParams, z, zShape, zRank, allocationPointer, reductionPointer, tadShapeInfo, tadOffsets);
|
|
|
|
sd::DebugHelper::checkErrorCode(stream, "transformFloat(...) failed");
|
|
}
|
|
|
|
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT TransformFloat, , LIBND4J_TYPES, FLOAT_TYPES);
|
|
}
|
|
}
|