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 +1,128 @@
+/* ******************************************************************************
+ *
+ *
+ * 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 Shyrma Yurii (iuriish@yahoo.com), created on 06.11.2017.
+//
+
+#include <system/op_boilerplate.h>
+#if NOT_EXCLUDED(OP_pad)
+
+#include <ops/declarable/CustomOperations.h>
+#include <ops/declarable/helpers/transforms.h>
+
+#include <numeric>
+
+namespace sd {
+namespace ops {
+
+//////////////////////////////////////////////////////////////////////////
+CUSTOM_OP_IMPL(pad, 2, 1, false, 0, 1) {
+  auto input = INPUT_VARIABLE(0);
+  auto paddings = INPUT_VARIABLE(1);
+  auto output = OUTPUT_VARIABLE(0);
+
+  const int rank = input->rankOf();
+
+  // input validation
+  std::vector<sd::LongType> expectedPaddingsShape = {rank, 2};
+  std::vector<sd::LongType> *currentPaddingsShape = paddings->getShapeAsVector();
+  REQUIRE_TRUE(expectedPaddingsShape == *currentPaddingsShape, 0,
+               "PAD op: wrong shape of paddings array, expected is %s, but got %s instead !",
+               ShapeUtils::shapeAsString(expectedPaddingsShape).c_str(),
+               ShapeUtils::shapeAsString(*currentPaddingsShape).c_str());
+
+
+  NDArray padValue(input->dataType(), block.launchContext());
+
+  // in case of REFLECT and SYMMETRIC modes paddings must obey additional shape requirements
+  if (INT_ARG(0) == 0) {  // CONSTANT mode
+    if (block.width() > 2) {
+      REQUIRE_TRUE(
+          input->dataType() == INPUT_VARIABLE(2)->dataType(), 0,
+          "PAD op: data types of input and padValue arrays should be the same but got %i and %i correspondingly !",
+          input->dataType(), INPUT_VARIABLE(2)->dataType());
+      auto get = INPUT_VARIABLE(2)->e(0);
+      padValue.assign(&get);
+    } else if (!block.getTArguments()->empty())
+      padValue = T_ARG(0);
+  } else if (INT_ARG(0) == 1) {  // REFLECT mode
+    for (int dim = 0; dim < rank; ++dim)
+    REQUIRE_TRUE(paddings->e<sd::LongType>(dim, 0) <= (input->shapeOf()[dim] - 1) &&
+                 paddings->e<sd::LongType>(dim, 1) <= (input->shapeOf()[dim] - 1),
+                 0, "PAD op: wrong content of paddings array for REFLECT mode !");
+  }
+  if (INT_ARG(0) == 2) {  // SYMMETRIC mode
+    for (int dim = 0; dim < rank; ++dim)
+    REQUIRE_TRUE(paddings->e<sd::LongType>(dim, 0) <= input->shapeOf()[dim] &&
+                 paddings->e<sd::LongType>(dim, 1) <= input->shapeOf()[dim],
+                 0, "PAD op: wrong content of paddings array for SYMMETRIC mode !");
+  }
+
+  // CONSTANT->0, REFLECT->1, SYMMETRIC->2
+  REQUIRE_TRUE(
+      INT_ARG(0) >= 0 && INT_ARG(0) <= 2, 0,
+      "PAD op: unknown padding mode, there are only three possible legal values -> 0,1,2, but got %i instead !",
+      INT_ARG(0));
+
+  helpers::pad(block.launchContext(), INT_ARG(0), *input, *paddings, *output, padValue);
+
+  delete currentPaddingsShape;
+  return sd::Status::OK;
+}
+
+DECLARE_TYPES(pad) {
+  getOpDescriptor()
+      ->setAllowedInputTypes(0, sd::DataType::ANY)
+      ->setAllowedInputTypes(1, {DataType::INT32, DataType::INT64})  // INT32 with TF
+      ->setSameMode(true);
+}
+
+DECLARE_SHAPE_FN(pad) {
+  // check shape of paddings
+  auto inputShapeInfo = inputShape->at(0);
+  auto paddings = INPUT_VARIABLE(1);
+  const int rank = inputShapeInfo[0];
+  if(rank < 0 || rank > SD_MAX_RANK) {
+    THROW_EXCEPTION("PAD op: Bad shape buffer. Likely corrupt. Please ensure buffer was not deallocated.");
+  }
+  // paddings validation
+  const std::vector<sd::LongType> expectedPaddingsShape = {rank, 2};
+  const std::vector<sd::LongType> *currentPaddingsShape = paddings->getShapeAsVector();
+  REQUIRE_TRUE(expectedPaddingsShape == *currentPaddingsShape, 0,
+               "PAD op: wrong shape of paddings array, expected is %s, but got %s instead !",
+               ShapeUtils::shapeAsString(expectedPaddingsShape).c_str(),
+               ShapeUtils::shapeAsString(*currentPaddingsShape).c_str());
+
+  delete currentPaddingsShape;
+  sd::LongType* outShapeInfo = nullptr;
+  ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(rank), sd::LongType);
+  outShapeInfo[0] = rank;
+  for (int i = 1; i <= rank; ++i)
+    outShapeInfo[i] = inputShapeInfo[i] + paddings->e<sd::LongType>(i - 1, 0) + paddings->e<sd::LongType>(i - 1, 1);
+
+  ShapeUtils::updateStridesAndType(outShapeInfo, inputShapeInfo, shape::order(inputShapeInfo));
+  auto ret = SHAPELIST(ConstantShapeHelper::getInstance().bufferForShapeInfo(outShapeInfo)->primary());
+  RELEASE(outShapeInfo, block.getWorkspace());
+  return ret;
+}
+
+}  // namespace ops
+}  // namespace sd
+
+#endif