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
+//
+
+#include <helpers/Loops.h>
+#include <ops/declarable/helpers/transforms.h>
+#if NOT_EXCLUDED(OP_trace)
+namespace sd {
+namespace ops {
+namespace helpers {
+
+//////////////////////////////////////////////////////////////////////////
+template <typename T>
+static void trace_(NDArray& input, NDArray& output) {
+  const int inRank = input.rankOf();
+  auto setOfSubArrs = input.allTensorsAlongDimension({inRank - 2, inRank - 1});
+
+  auto func = PRAGMA_THREADS_FOR {
+    for (auto i = start; i < stop; i++) output.p(i, setOfSubArrs.at(i)->getTrace());
+  };
+  samediff::Threads::parallel_for(func, 0, setOfSubArrs.size());
+}
+
+void trace(sd::LaunchContext* context, NDArray& input, NDArray& output) {
+  BUILD_SINGLE_SELECTOR(input.dataType(), trace_, (input, output), SD_COMMON_TYPES);
+}
+}  // namespace helpers
+}  // namespace ops
+}  // namespace sd
+#endif