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 +1,72 @@
+/* ******************************************************************************
+ *
+ *
+ * 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 sgazeos@gmail.com
+//
+#include <execution/Threads.h>
+#include <helpers/ConstantTadHelper.h>
+#include <helpers/ShapeUtils.h>
+
+#include <ops/declarable/helpers/nth_element.h>
+#include <system/selective_rendering.h>
+#include "ops/specials.h"
+#if NOT_EXCLUDED(OP_nth_element)
+namespace sd {
+namespace ops {
+namespace helpers {
+
+template <typename T>
+void nthElementFunctor_(NDArray* input, sd::LongType n, NDArray* output, bool reverse) {
+  NDArray sortedVals(*input);
+  if (input->isVector()) {
+    SpecialMethods<T>::sortGeneric(input, reverse);
+    output->p(0, input->e<T>(n));
+  } else {  // rank greater than 1
+    std::vector<sd::LongType> lastDims(
+        {input->rankOf() - 1});
+    SpecialMethods<T>::sortTadGeneric(&sortedVals, lastDims.data(), lastDims.size(),
+                                      reverse);
+
+    ResultSet rows = sortedVals.allTensorsAlongDimension(lastDims);
+    sd::LongType oL = output->lengthOf();
+
+    auto func = PRAGMA_THREADS_FOR {
+      for (auto e = start; e < stop; e++) {
+        auto row = rows.at(e);
+        output->p(e, row->e<T>(n));
+      }
+    };
+
+    samediff::Threads::parallel_for(func, 0, oL);
+  }
+}
+
+void nthElementFunctor(sd::LaunchContext* launchContext, NDArray* input, sd::LongType n, NDArray* output,
+                       bool reverse) {
+
+  auto inputDType = input->dataType();
+  BUILD_SINGLE_SELECTOR(input->dataType(), nthElementFunctor_, (input, n, output, reverse), SD_NUMERIC_TYPES);
+}
+BUILD_SINGLE_TEMPLATE( void nthElementFunctor_,
+                      (NDArray * input, sd::LongType n, NDArray* output, bool reverse), SD_NUMERIC_TYPES);
+
+}  // namespace helpers
+}  // namespace ops
+}  // namespace sd
+#endif