chore: import upstream snapshot with attribution

2026-07-13 12:47:05 +08:00
commit 4f3b7da785
7394 changed files with 2005594 additions and 0 deletions
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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 Yurii Shyrma (iuriish@yahoo.com), created on 20.04.2018
+//
+
+#ifndef LIBND4J_TRANSFORMS_H
+#define LIBND4J_TRANSFORMS_H
+#include <graph/Context.h>
+#include <graph/RandomGenerator.h>
+#include <helpers/helper_random.h>
+#include <ops/declarable/helpers/helpers.h>
+namespace sd {
+namespace ops {
+namespace helpers {
+
+SD_LIB_HIDDEN void triuBP(LaunchContext* context, NDArray& input, NDArray& gradO, NDArray& gradI,
+                          const int diagonal);
+
+SD_LIB_HIDDEN void trace(LaunchContext* context, NDArray& input, NDArray& output);
+
+SD_LIB_HIDDEN void randomShuffle(LaunchContext* context, NDArray& input, NDArray& output, graph::RandomGenerator& rng, const bool isInplace);
+
+// auxiliary function which serves for recursion purpose and is used in pad operation
+// void recursiveLoopForPad(const int mode, NDArray& input, NDArray& paddings, NDArray& output, std::vector<int>
+// dimensions, int dim, int inIdx, int outIdx, NDArray& padValue);
+
+SD_LIB_HIDDEN void pad(LaunchContext* context, const int mode, NDArray& input, NDArray& paddings,
+                       NDArray& output, NDArray& padValue);
+
+SD_LIB_HIDDEN void invertPermutation(LaunchContext* context, NDArray& input, NDArray& output);
+
+SD_LIB_HIDDEN void gatherND(LaunchContext* context, NDArray& input, NDArray& indices, NDArray& output);
+
+SD_LIB_HIDDEN void gather(LaunchContext* context, NDArray* input, NDArray* indices, NDArray* output,
+                          const std::vector<int>& intArgs);
+
+SD_LIB_HIDDEN void eye(LaunchContext* context, NDArray& output);
+
+SD_LIB_HIDDEN void scatterUpdate(LaunchContext* context, NDArray& operand, NDArray& updates,
+                                 const std::vector<LongType>* intArgs);
+
+SD_LIB_HIDDEN void scatterSimple(LaunchContext* context, const int opId, NDArray& input, NDArray& updates,
+                                 NDArray& indices, const std::vector<LongType>& dimensions);
+
+SD_LIB_HIDDEN void mergeMaxIndex(LaunchContext* context, const std::vector<NDArray*>& inArrs,
+                                 NDArray& output);
+
+SD_LIB_HIDDEN void mergeMax(LaunchContext* context, const std::vector<NDArray*>& inArrs, NDArray& output);
+SD_LIB_HIDDEN void mergeMaxBp(LaunchContext* context, const std::vector<NDArray*>& inArrs,
+                              std::vector<NDArray*>& outArrs);
+
+SD_LIB_HIDDEN void mergeAvg(LaunchContext* context, const std::vector<NDArray*>& inArrs, NDArray& output);
+SD_LIB_HIDDEN void mergeAvgBp(LaunchContext* context, NDArray& gradient, std::vector<NDArray*>& outArrs);
+
+SD_LIB_HIDDEN void mergeAdd(LaunchContext* context, const std::vector<NDArray*>& inArrs, NDArray& output);
+SD_LIB_HIDDEN void mergeAddBp(LaunchContext* context, NDArray& gradient, std::vector<NDArray*>& outArrs);
+
+SD_LIB_HIDDEN void clipByNorm(LaunchContext* context, NDArray* input, NDArray* output,
+                              const std::vector<LongType>& dimensions, NDArray* clipNorm, const bool isInplace,
+                              const bool useAverage);
+
+SD_LIB_HIDDEN void clipByGlobalNorm(LaunchContext* context, std::vector<NDArray*> & inputs, double clipNorm,
+                                    memory::Workspace* workspace, std::vector<NDArray*>& outputs, bool isInplace);
+
+SD_LIB_HIDDEN void clipByNormBp(LaunchContext* context, NDArray* input, NDArray* gradO,
+                                NDArray* gradI /*output*/, const std::vector<LongType>& dimensions, NDArray* clipNorm,
+                                const bool useAverage);
+
+SD_LIB_HIDDEN void clipByAveragedNorm(LaunchContext* context, NDArray& input, NDArray& output,
+                                      const std::vector<LongType>& dimensions, NDArray& clipNorm,
+                                      const bool isInplace);
+
+SD_LIB_HIDDEN void mirrorPad(LaunchContext* context, NDArray& input, NDArray& paddings, NDArray& output,
+                             const int mode);
+
+SD_LIB_HIDDEN void clipByValue(LaunchContext* context, NDArray* input, double leftBound, double rightBound,
+                               NDArray* output);
+
+SD_LIB_HIDDEN void mirrorPad(LaunchContext* context, NDArray& input, NDArray& paddings, NDArray& output,
+                             const int mode);
+
+SD_LIB_HIDDEN void concat(LaunchContext* context, const std::vector<NDArray*>& inArrs, NDArray& output,
+                          const int axis);
+
+SD_LIB_HIDDEN void tileBP(LaunchContext* context, NDArray gradO /*input*/, NDArray& gradI /*output*/,
+                          const std::vector<LongType> reps);
+
+SD_LIB_HIDDEN void split(LaunchContext* context, NDArray& input, std::vector<NDArray*>& outArrs,
+                         const LongType axis);
+
+SD_LIB_HIDDEN void compareAndBitpack(graph::Context& block, NDArray& input, NDArray& threshold,
+                                     NDArray& output);
+}  // namespace helpers
+}  // namespace ops
+}  // namespace sd
+
+#endif  // LIBND4J_TRANSFORMS_H