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 by raver119 on 02.11.2017.
+//
+
+#include <system/op_boilerplate.h>
+#if NOT_EXCLUDED(OP_expand_dims)
+
+#include <ops/declarable/CustomOperations.h>
+
+namespace sd {
+namespace ops {
+CUSTOM_OP_IMPL(expand_dims, 1, 1, false, 0, -2) {
+  auto input = INPUT_VARIABLE(0);
+  auto output = OUTPUT_VARIABLE(0);
+  LongType axis = block.numI() > 0 ? INT_ARG(0) : INPUT_VARIABLE(1)->e<LongType>(0);
+
+  if (axis < 0) axis += input->rankOf() + 1;
+  if(!input->isEmpty() && !input->isScalar())
+  REQUIRE_TRUE(axis >= 0 && axis <= input->rankOf(), 0,
+               "ExpandDims: axis should be in range of 0...%i in this case, but got %i instead", input->rankOf() + 1,
+               axis);
+
+
+  //note we used to have a specific copy case here but we should
+  //be abstracting away data copy and reshape details like buffer copying
+  if(input->isEmpty()) {
+    return Status::OK;
+  }
+
+  NDArray::copyDataForAssign(input,output,output->shapeInfo(),true);
+  return Status::OK;
+}
+
+DECLARE_TYPES(expand_dims) { getOpDescriptor()->setAllowedInputTypes(ANY)->setSameMode(true); }
+
+DECLARE_SHAPE_FN(expand_dims) {
+  auto inShape = inputShape->at(0);
+  auto rank = shape::rank(inShape);
+  // 0D scalar edge case
+  if (shape::isScalar(inShape)) {
+    if(rank < 1) {
+      LongType x = 1;
+      auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(inShape), 'c', 1, &x, -1);
+      return SHAPELIST(newShape);
+    } else {
+      std::vector<LongType> x = {1, 1};
+      auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(inShape), 'c', 2, x.data(), -1);
+      return SHAPELIST(newShape);
+    }
+
+  }
+
+  auto input = INPUT_VARIABLE(0);
+  if(input->isEmpty() && input->rankOf() < 1) {
+    auto newShape = ConstantShapeHelper::getInstance().emptyShapeInfo(ArrayOptions::dataType(inShape));
+    return SHAPELIST(newShape);
+  }
+
+
+  auto x_rank = shape::rank(inShape);
+  char order = shape::order(inShape);
+
+  LongType axis = block.numI() > 0 ? INT_ARG(0) : INPUT_VARIABLE(1)->e<LongType>(0);
+  if (axis < 0) axis += x_rank + 1;
+
+  REQUIRE_TRUE(axis >= 0 && axis <= input->rankOf(), 0,
+               "ExpandDims: axis should be in range of 0...%i in this case, but got %i instead", input->rankOf() + 1,
+               axis);
+
+  std::vector<LongType> shape;
+  for (LongType e = 0; e < x_rank; e++) shape.emplace_back(shape::shapeOf(inShape)[e]);
+
+  shape.insert(shape.begin() + axis, 1);
+
+  auto newShape = input->isEmpty() ? ConstantShapeHelper::getInstance().emptyShapeInfoWithShape(ArrayOptions::dataType(inShape), shape) :
+                                   ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(inShape), order, shape);
+  return SHAPELIST(newShape);
+}
+}  // namespace ops
+}  // namespace sd
+
+#endif