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 +1,96 @@
+/* ******************************************************************************
+ *
+ *
+ * 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 01.11.2017.
+//
+
+#include <system/op_boilerplate.h>
+#if NOT_EXCLUDED(OP_stack)
+
+#include <ops/declarable/CustomOperations.h>
+#include <ops/declarable/helpers/stack.h>
+
+namespace sd {
+namespace ops {
+
+CUSTOM_OP_IMPL(stack, -1, 1, false, 0, 0) {
+  auto input = INPUT_VARIABLE(0);
+  auto output = OUTPUT_VARIABLE(0);
+  int dim = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0;
+  if (dim < 0) dim += input->rankOf() + 1;
+
+  // no-op in case of empty output array
+  if (output->isEmpty()) return Status::OK;
+
+  // input validation
+  // check whether shapes of all input array are the same
+  for (size_t i = 0; i < block.width() - 1; ++i)
+  REQUIRE_TRUE(shape::equalsSoft((INPUT_VARIABLE(i))->shapeInfo(), (INPUT_VARIABLE(i + 1))->shapeInfo()), 0,
+               "STACK op: the shapes of all input arrays must be the same !");
+
+  REQUIRE_TRUE(
+      dim <= input->rankOf(), 0,
+      "STACK op: the input dimension parameter must be <= rank of input arrays shapes (rank=%i), but got %i instead !",
+      input->shapeOf(), dim);
+
+  std::vector<NDArray*> inArrs(block.width());
+  for (size_t i = 0; i < block.width(); ++i) inArrs[i] = INPUT_VARIABLE(i);
+
+  //empty arrays are a no op
+  if(block.width() >= 1 && !inArrs[0]->isEmpty())
+    helpers::stack(block.launchContext(), inArrs, *output, dim);
+
+  return Status::OK;
+}
+DECLARE_SYN(pack, stack);
+DECLARE_SYN(Pack, stack);
+
+DECLARE_TYPES(stack) {
+  getOpDescriptor()->setAllowedInputTypes(ANY)->setAllowedOutputTypes(ANY);
+}
+
+DECLARE_SHAPE_FN(stack) {
+  // check whether input dimension is within rank range
+  auto inShapeInfo = inputShape->at(0);
+
+  int rank = shape::rank(inShapeInfo);
+  int dim = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0;
+  if (dim < 0) dim += rank + 1;
+
+  REQUIRE_TRUE(
+      dim <= inShapeInfo[0], 0,
+      "STACK op: the input dimension parameter must be <= rank of input arrays shapes (rank=%i), but got %i instead !",
+      inShapeInfo[0], dim);
+
+
+  // the rank of output ShapeInfo is larger by one compared to input ShapeInfo
+  std::vector<LongType> outShape(inShapeInfo + 1, inShapeInfo + 1 + rank);
+
+  // insert (int) block.width() at dim position of input shape to get output shape
+  outShape.insert(outShape.begin() + LongType(dim), (LongType)block.width());
+  auto ret = SHAPELIST(ConstantShapeHelper::getInstance().bufferForShapeInfo(ArrayOptions::dataType(inShapeInfo),
+                                                                             shape::order(inShapeInfo),
+                                                                             outShape)->primary());
+  return ret;
+}
+
+}  // namespace ops
+}  // namespace sd
+
+#endif