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deeplearning4j--deeplearning4j/libnd4j/include/loops/cpu/transform/transform_any.cpp
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2026-07-13 12:47:05 +08:00

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/* ******************************************************************************
*
*
* 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
//
// Selective rendering - MUST be included before types.h to define HAS_* flags
#include <system/selective_rendering/core.h>
#include <system/selective_rendering/bool_types.h>
#include <system/selective_rendering/float_types.h>
#include <system/selective_rendering/bfloat_types.h>
#include <system/selective_rendering/int_types.h>
#include <system/selective_rendering/uint_types.h>
#include <helpers/Loops.h>
#include <loops/legacy_ops.h>
#include <loops/transform_any.h>
#include <system/op_boilerplate.h>
#include <types/types.h>
using namespace simdOps;
namespace functions {
namespace transform {
template <typename X, typename Z>
void TransformAny<X, Z>::exec(int opNum, const void *x, const sd::LongType *xShapeInfo, void *z,
const sd::LongType *zShapeInfo, void *extraParams, sd::LongType threadId,
sd::LongType numThreads) {
DISPATCH_BY_OPNUM_TT(exec, PARAMS(x, xShapeInfo, z, zShapeInfo, extraParams, threadId, numThreads),
TRANSFORM_ANY_OPS);
}
/////////////////////////////////////////////////////////////////////
template <typename X, typename Z>
template <typename OpType>
void SD_HOST TransformAny<X, Z>::exec(const void *vx, const sd::LongType *xShapeInfo, void *vz,
const sd::LongType *zShapeInfo, void *vextraParams, sd::LongType threadId,
sd::LongType numThreads) {
auto x = reinterpret_cast<const X *>(vx);
auto z = reinterpret_cast<Z *>(vz);
auto extraParams = reinterpret_cast<X *>(vextraParams);
sd::TransformLoops<X, Z, X>::template loopTransform<OpType>(x, xShapeInfo, z, zShapeInfo, extraParams, threadId,
numThreads);
}
BUILD_DOUBLE_TEMPLATE(class TransformAny, , SD_NUMERIC_TYPES, SD_NUMERIC_TYPES);
// Also instantiate numeric types -> bool for comparison operations
BUILD_DOUBLE_TEMPLATE(class TransformAny, , SD_NUMERIC_TYPES, SD_BOOL_TYPES);
// And bool -> numeric types for casting operations
BUILD_DOUBLE_TEMPLATE(class TransformAny, , SD_BOOL_TYPES, SD_NUMERIC_TYPES);
// And bool -> bool for boolean operations
BUILD_DOUBLE_TEMPLATE(class TransformAny, , SD_BOOL_TYPES, SD_BOOL_TYPES);
} // namespace transform
} // namespace functions