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
+ ******************************************************************************/
+
+//
+// Created to use with batched tensor by GS <sgazeos@gmail.com> 3/21/2018
+//
+
+#include <ops/declarable/CustomOperations.h>
+#include <ops/declarable/helpers/matrix_diag_part.h>
+
+#if NOT_EXCLUDED(OP_matrix_diag_part)
+
+namespace sd {
+namespace ops {
+CUSTOM_OP_IMPL(matrix_diag_part, 1, 1, false, 0, 0) {
+  auto input = INPUT_VARIABLE(0);
+  auto output = OUTPUT_VARIABLE(0);
+  const int inRank = input->rankOf();
+
+  REQUIRE_TRUE(inRank >= 2, 0, "CUSTOM_OP matrix_diag_part: input array must have rank >= 2, but %i given!", inRank);
+
+  output->nullify();
+  return helpers::matrixDiagPart(block.launchContext(), input, output);
+}
+
+DECLARE_SHAPE_FN(matrix_diag_part) {
+  LongType * outShapeInfo = nullptr;
+  auto in = inputShape->at(0);
+  LongType inRank = shape::rank(in);
+
+  REQUIRE_TRUE(inRank >= 2, 0, "CUSTOM_OP matrix_diag_part: input array must have rank >= 2, but %i given!", inRank);
+
+  LongType outRank = inRank - 1;
+  LongType lastDimension = sd::math::sd_min<LongType>(shape::sizeAt(in, static_cast<LongType>(-1)), shape::sizeAt(in, static_cast<LongType>(-2)));
+  if (outRank == 1) {
+    // output shape is a vector with size min(sizeAt(0), sizeAt(1))
+    outShapeInfo = ConstantShapeHelper::getInstance().vectorShapeInfo(lastDimension, ArrayOptions::dataType(in));
+  } else {
+    LongType* anShapeInfo;
+    ALLOCATE(anShapeInfo, block.getWorkspace(), shape::shapeInfoLength(outRank), sd::LongType);
+    anShapeInfo[0] = outRank;
+    for (LongType i = 0; i < outRank - 1; ++i) anShapeInfo[i + 1] = shape::sizeAt(in, i);
+    anShapeInfo[outRank] = lastDimension;
+
+    ShapeUtils::updateStridesAndType(anShapeInfo, in, shape::order(in));
+    outShapeInfo = CONSTANT(anShapeInfo);
+  }
+  return SHAPELIST(outShapeInfo);
+}
+
+DECLARE_TYPES(matrix_diag_part) { getOpDescriptor()->setAllowedInputTypes(ANY)->setSameMode(true); }
+}  // namespace ops
+}  // namespace sd
+#endif