wehub-resource-sync
109 lines
3.3 KiB
C++
109 lines
3.3 KiB
C++
/* ******************************************************************************
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*
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#include <execution/Threads.h>
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#include <ops/declarable/helpers/helpers.h>
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namespace sd {
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namespace ops {
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namespace helpers {
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SD_LIB_HIDDEN void crossBatched(LaunchContext *context, NDArray *a, NDArray *b, NDArray *o);
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void SD_INLINE cross(LaunchContext *context, NDArray *a, NDArray *b, NDArray *o) {
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if (a->isR()) {
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#ifdef HAS_DOUBLE
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auto a0 = a->e<double>(0);
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auto a1 = a->e<double>(1);
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auto a2 = a->e<double>(2);
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auto b0 = b->e<double>(0);
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auto b1 = b->e<double>(1);
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auto b2 = b->e<double>(2);
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o->p(LongType(0L), static_cast<double>(a1 * b2 - a2 * b1));
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o->p(1L, static_cast<double>(a2 * b0 - a0 * b2));
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o->p(2L, static_cast<double>(a0 * b1 - a1 * b0));
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#elif defined(HAS_FLOAT32)
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auto a0 = a->e<float>(0);
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auto a1 = a->e<float>(1);
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auto a2 = a->e<float>(2);
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auto b0 = b->e<float>(0);
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auto b1 = b->e<float>(1);
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auto b2 = b->e<float>(2);
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o->p(LongType(0L), static_cast<float>(a1 * b2 - a2 * b1));
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o->p(1L, static_cast<float>(a2 * b0 - a0 * b2));
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o->p(2L, static_cast<float>(a0 * b1 - a1 * b0));
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#else
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#error "No floating-point type available for cross product operation"
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#endif
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} else {
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auto a0 = a->e<LongType>(0);
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auto a1 = a->e<LongType>(1);
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auto a2 = a->e<LongType>(2);
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auto b0 = b->e<LongType>(0);
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auto b1 = b->e<LongType>(1);
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auto b2 = b->e<LongType>(2);
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o->p(LongType(0L), a1 * b2 - a2 * b1);
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o->p(1L, a2 * b0 - a0 * b2);
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o->p(2L, a0 * b1 - a1 * b0);
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}
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}
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void SD_INLINE _crossBatched(LaunchContext *context, NDArray *a, NDArray *b, NDArray *o) {
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std::vector<sd::LongType> reshape = {-1,3};
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auto a_ = a->reshape(a->ordering(), reshape);
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auto b_ = b->reshape(b->ordering(), reshape);
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auto o_ = o->reshape(o->ordering(),reshape, false);
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auto tadsA = a_->allTensorsAlongDimension({1});
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auto tadsB = b_->allTensorsAlongDimension({1});
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auto tadsO = o_->allTensorsAlongDimension({1});
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int tads = tadsA.size();
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auto func = PRAGMA_THREADS_FOR {
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for (auto e = start; e < stop; e++) {
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auto a_ = tadsA.at(e);
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auto b_ = tadsB.at(e);
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auto o_ = tadsO.at(e);
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cross(context, a_, b_, o_);
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}
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};
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samediff::Threads::parallel_tad(func, 0, tads);
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delete a_;
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delete b_;
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delete o_;
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}
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void weightedCrossEntropyWithLogitsFunctor(LaunchContext *context, NDArray *targets, NDArray *input,
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NDArray *weights, NDArray *output);
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} // namespace helpers
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} // namespace ops
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} // namespace sd
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