chore: import upstream snapshot with attribution

2026-07-13 13:33:03 +08:00
commit 5b57521aa1
8226 changed files with 3425766 additions and 0 deletions
@@ -0,0 +1,49 @@
+//
+//  ShapeReduceJoin.cpp
+//  MNN
+//
+//  Created by MNN on 2019/01/10.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include "shape/SizeComputer.hpp"
+#include "core/Macro.h"
+
+namespace MNN {
+class ReduceJoinComputer : public SizeComputer {
+public:
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        MNN_ASSERT(2 == inputs.size());
+        MNN_ASSERT(1 == outputs.size());
+
+        auto output = outputs[0];
+        auto input  = inputs[0];
+        auto axis   = inputs[1];
+
+        // support reduce 1 dimension, only
+        MNN_ASSERT(axis->size() == axis->buffer().type.bytes());
+
+        MNN_ASSERT(axis->host<int32_t>()[0] >= 0);
+        std::vector<int> shape;
+        for (int i = 0; i < input->buffer().dimensions; i++) {
+            if (i != axis->host<int32_t>()[0]) {
+                shape.push_back(input->buffer().dim[i].extent);
+            } else {
+                if (op->main_as_ReduceJoin()->keepDims()) {
+                    shape.push_back(1);
+                }
+            }
+        }
+        output->buffer().dimensions = (int)shape.size();
+        for (int i = 0; i < shape.size(); i++) {
+            output->buffer().dim[i].extent = shape[i];
+        }
+        output->setType(DataType_DT_STRING);
+        TensorUtils::getDescribe(outputs[0])->dimensionFormat = MNN_DATA_FORMAT_NHWC;
+        return true;
+    }
+};
+
+REGISTER_SHAPE_INPUTS(ReduceJoinComputer, OpType_ReduceJoin, {1});
+} // namespace MNN