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 +1,80 @@
+/* ******************************************************************************
+ *
+ *
+ * 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 george@skymind.io on 11/13/2018.
+//
+
+#include <ops/declarable/CustomOperations.h>
+#include <ops/declarable/helpers/axis.h>
+namespace sd {
+namespace ops {
+#if NOT_EXCLUDED(OP_reduce_logsumexp)
+
+CUSTOM_OP_IMPL(reduce_logsumexp, -1, 1, false, 0, -2) {
+  auto input = INPUT_VARIABLE(0);
+  auto output = OUTPUT_VARIABLE(0);
+  std::vector<sd::LongType> axes;  // = *block.getIArguments();
+  if (block.width() > 1) {
+    auto axisVector = INPUT_VARIABLE(1);
+    helpers::adjustAxis(input->rankOf(), axisVector, axes);
+  } else if (block.getIArguments()->size() > 0) {
+    axes = *block.getIArguments();
+  }
+
+  for (const auto& item : axes)
+    REQUIRE_TRUE(
+        item >= -input->shapeInfo()[0] && item < input->shapeInfo()[0], 0,
+        "REDUCE_LOGSUMEXP: the input dimension to reduce along must be in range [-%i, %i), but got %i instead !",
+        input->rankOf(), input->rankOf(), item);
+
+  const bool keepDims = block.getTArguments()->size() > 0 ? (bool)T_ARG(0) : false;
+  sd::LongType maxI = input->argMax();
+  auto maxVals = input->e(maxI);
+  // void* whereMax = (void*)();
+  auto internal = (*input);
+  internal -= maxVals;
+  internal.applyTransform(transform::Exp, &internal);
+  internal.reduceAlongDimension(reduce::Sum, output, &axes, keepDims, false);  //, (void*)&maxVals);
+  output->applyTransform(transform::Log, output);
+  (*output) += maxVals;
+  return sd::Status::OK;
+}
+DECLARE_TYPES(reduce_logsumexp) {
+  getOpDescriptor()->setAllowedInputTypes({ALL_INTS, ALL_FLOATS})->setAllowedOutputTypes({ALL_FLOATS});
+}
+DECLARE_SHAPE_FN(reduce_logsumexp) {
+  const bool keepDims = block.getTArguments()->size() > 0 ? (bool)T_ARG(0) : false;
+  auto input = INPUT_VARIABLE(0);
+
+  std::vector<sd::LongType> axes;  // = *block.getIArguments();
+  if (block.width() > 1) {
+    auto axisVector = INPUT_VARIABLE(1);
+    helpers::adjustAxis(input->rankOf(), axisVector, axes);
+  } else if (block.getIArguments()->size() > 0) {
+    axes = *block.getIArguments();
+  }
+
+  auto outShapeInfo = ShapeUtils::evalReduceShapeInfo(shape::order(inputShape->at(0)), &axes, inputShape->at(0),
+                                                      keepDims, false, block.getWorkspace());
+
+  return SHAPELIST(outShapeInfo);
+}
+#endif
+}  // namespace ops
+}  // namespace sd