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
@@ -0,0 +1,119 @@
+/* ******************************************************************************
+ *
+ *
+ * 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
+//
+#include <helpers/Loops.h>
+#include <helpers/ShapeUtils.h>
+#include <ops/declarable/helpers/transforms.h>
+#if NOT_EXCLUDED(OP_scatter_update)
+namespace sd {
+namespace ops {
+namespace helpers {
+
+//////////////////////////////////////////////////////////////////////////
+void scatterUpdate(sd::LaunchContext* context, NDArray& input, NDArray& updates, const std::vector<LongType>* intArgs) {
+  sd::LongType opCode = (*intArgs)[0];
+  sd::LongType dimSize = (*intArgs)[1];
+  sd::LongType e;
+  sd::LongType limg = 2 + dimSize;
+  std::vector<sd::LongType> tadDimensions(dimSize);
+  for (e = 2; e < limg; e++) tadDimensions[e - 2] = (*intArgs)[e];
+
+  std::vector<sd::LongType> *dimsToExclude = ShapeUtils::evalDimsToExclude(input.rankOf(), tadDimensions.size(),tadDimensions.data());
+
+  // increasing counter to skip numIndices
+  e++;
+  std::vector<sd::LongType> indices;
+  for (; e < static_cast<sd::LongType>(intArgs->size()); e++) indices.push_back((*intArgs)[e]);
+
+  auto func = PRAGMA_THREADS_FOR {
+    for (auto i = start; i < stop; i++) {
+      auto inSubArr = input(indices[i], *dimsToExclude, true);
+      auto updSubArr = updates(i, *dimsToExclude, true);
+      if (inSubArr->lengthOf() != updSubArr->lengthOf())  {
+        delete inSubArr;
+        continue;
+      }
+
+      switch (opCode) {
+        case 0:
+          inSubArr->applyPairwiseTransform(pairwise::Add, updSubArr, inSubArr);
+          break;
+        case 1:
+          inSubArr->applyPairwiseTransform(pairwise::Subtract, updSubArr, inSubArr);
+          break;
+        case 2:
+          inSubArr->applyPairwiseTransform(pairwise::Multiply, updSubArr, inSubArr);
+          break;
+        case 3:
+          inSubArr->applyPairwiseTransform(pairwise::Divide, updSubArr, inSubArr);
+          break;
+        case 4:
+          inSubArr->applyPairwiseTransform(pairwise::ReverseSubtract, updSubArr, inSubArr);
+          break;
+        case 5:
+          inSubArr->applyPairwiseTransform(pairwise::ReverseDivide, updSubArr, inSubArr);
+          break;
+        case 6:
+          inSubArr->applyPairwiseTransform(pairwise::CopyPws, updSubArr, inSubArr);
+          break;
+        default:
+          continue;
+      }
+
+      delete inSubArr;
+      delete updSubArr;
+    }
+  };
+
+  samediff::Threads::parallel_tad(func, 0, indices.size());
+
+
+  delete dimsToExclude;
+}
+
+//////////////////////////////////////////////////////////////////////////
+void scatterSimple(sd::LaunchContext* context, const int opId, NDArray& input, NDArray& updates,
+                   NDArray& indices, const std::vector<LongType>& dimensions) {
+  // updates and indices have same length
+  const sd::LongType len = indices.lengthOf();
+
+  switch (opId) {
+    case 6: {  // copy
+      auto func = PRAGMA_THREADS_FOR {
+        for (auto i = start; i < stop; i++) {
+          auto inSubArr = input(i, dimensions);
+          auto curr = indices.e(i);
+          inSubArr->p(indices.t<sd::LongType>(i), &curr);
+        }
+      };
+
+      samediff::Threads::parallel_for(func, 0, len);
+    } break;
+
+    default:
+      THROW_EXCEPTION("helpers::scatterSimple: operation is not implemented for given id !");
+  }
+}
+
+}  // namespace helpers
+}  // namespace ops
+}  // namespace sd
+#endif