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 +1,127 @@
+/* ******************************************************************************
+ *
+ *
+ * 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 raver119@gmail.com
+// @author Yurii Shyrma (iuriish@yahoo.com)
+//
+
+#include <system/op_boilerplate.h>
+#if NOT_EXCLUDED(OP_unstack)
+
+#include <ops/declarable/CustomOperations.h>
+#include <ops/declarable/helpers/stack.h>
+
+namespace sd {
+namespace ops {
+
+CUSTOM_OP_IMPL(unstack, 1, -1, false, 0, 1) {
+  auto input = INPUT_VARIABLE(0);
+  if (input->isEmpty()) return Status::OK;
+
+  auto dim = INT_ARG(0);
+  if (dim < 0) dim += input->rankOf();
+
+  REQUIRE_TRUE(dim < input->rankOf(), 0,
+               "Unstack dimension should be lower then rank of input %i, but got dimension=%i !", input->rankOf(), dim);
+  REQUIRE_TRUE(dim >= 0, 0, "Unstack dimension should be non-negative value, but got %i !", dim);
+
+
+  std::vector<NDArray*> outArrs(input->sizeAt(dim));
+  for (size_t i = 0; i < outArrs.size(); ++i) outArrs[i] = OUTPUT_VARIABLE(i);
+
+  helpers::unstack(block.launchContext(), *input, outArrs, dim);
+
+  return Status::OK;
+}
+
+DECLARE_SYN(unpack, unstack);
+
+DECLARE_SHAPE_FN(unstack) {
+  auto inShapeInfo = inputShape->at(0);
+
+  auto dim = INT_ARG(0);
+  const LongType numTads = block.numI() > 1 ? I_ARG(1) : shape::shapeOf(inShapeInfo)[dim];
+  if (dim < 0) dim += shape::rank(inShapeInfo);
+  if(!shape::isEmptyConst(inShapeInfo)) {
+    REQUIRE_TRUE(dim < inShapeInfo[0], 0,
+                 "UNSTACK op: dimension should be lower then rank of input %i, but got dimension=%i !", inShapeInfo[0],
+                 dim);
+    REQUIRE_TRUE(dim >= 0, 0, "UNSTACK op: dimension should be non-negative value, but got %i !", dim);
+
+  }
+
+
+
+
+
+  if (ArrayOptions::arrayType(inShapeInfo) == EMPTY) {
+    std::vector<LongType> outShape;
+    for (LongType i = 0; i < shape::rank(inShapeInfo); ++i)
+      if (i != dim) outShape.push_back(shape::shapeOf(inShapeInfo)[i]);
+
+    auto result = SHAPELIST();
+    for (LongType i = 0; i < numTads; ++i)
+      result->push_back(ConstantShapeHelper::getInstance().emptyShapeInfoWithShape(ArrayOptions::dataType(inShapeInfo),outShape));
+    if(numTads < 1) {
+      result->push_back(ConstantShapeHelper::getInstance().emptyShapeInfoWithShape(ArrayOptions::dataType(inShapeInfo),outShape));
+    }
+
+    return result;
+  }
+
+  std::vector<LongType> dimVec = {dim};
+  std::vector<LongType> *dims = ShapeUtils::evalDimsToExclude(inShapeInfo[0], 1,dimVec.data());
+
+  if (dims->size() == 0 && shape::rank(inShapeInfo) == 1) {  // split vector into lengthOf scalars
+    auto result = SHAPELIST();
+    for (LongType e = 0; e < numTads; e++)
+      result->push_back(ConstantShapeHelper::getInstance().scalarShapeInfo(ArrayOptions::dataType(inShapeInfo)));
+    delete dims;
+
+    return result;
+  }
+
+  std::vector<LongType> subArrShape(shape::rank(inShapeInfo) - 1);
+
+  for (LongType j = 0, i = 0; i < shape::rank(inShapeInfo); i++)
+    if (i != dim) subArrShape[j++] = shape::shapeOf(inShapeInfo)[i];
+
+  // remove leading and trailing 1
+  if (inShapeInfo[0] == 2 && subArrShape.size() == 2) {
+    if (subArrShape[0] == 1)
+      subArrShape.erase(subArrShape.begin());
+    else if (subArrShape[1] == 1)
+      subArrShape.erase(subArrShape.end());
+  }
+
+  auto result = SHAPELIST();
+  for (int e = 0; e < numTads; e++) {
+    auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(inShapeInfo),
+                                                                       shape::order(inShapeInfo), subArrShape);
+    result->push_back(newShape);
+  }
+  return result;
+}
+
+DECLARE_TYPES(unstack) { getOpDescriptor()->setAllowedInputTypes({ALL_FLOATS, ALL_INTS})->setSameMode(true); }
+
+}  // namespace ops
+}  // namespace sd
+
+#endif