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
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+//
+//  ShapeScatterNd.cpp
+//  MNN
+//
+//  Created by MNN on 2019/11/27.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+
+#include "shape/SizeComputer.hpp"
+#include "core/Macro.h"
+
+namespace MNN {
+// Size Computer
+class ShapeScatterNd : public SizeComputer {
+    bool onComputeSize(const MNN::Op *op, const std::vector<Tensor *> &inputs,
+                       const std::vector<Tensor *> &outputs) const override {
+        MNN_ASSERT(3 <= inputs.size());
+        auto indices = inputs[0];
+        auto updates = inputs[1];
+        auto shape   = inputs[2];
+        auto output  = outputs[0];
+        //MNN_CHECK(shape->dimensions() == 1, "shape rank should be one");
+        const int indicesDimension = indices->dimensions();
+        //MNN_CHECK(indices->length(indicesDimension - 1) == 1, "indices.shape[-1] = shape.rank");
+
+        const int outerDims = indicesDimension - 1;
+        const int dimension = shape->length(0);
+        //MNN_CHECK(updates->dimensions() == dimension, "updates dimension should be equal to given shape");
+
+        output->buffer().dimensions = dimension;
+
+        auto shapeData = shape->host<int>();
+        for (int i = 0; i < dimension; ++i) {
+            output->setLength(i, shapeData[i]);
+        }
+        output->buffer().type = updates->buffer().type;
+
+        TensorUtils::getDescribe(output)->dimensionFormat = TensorUtils::getDescribe(updates)->dimensionFormat;
+
+        return true;
+    }
+};
+
+REGISTER_SHAPE_INPUTS(ShapeScatterNd, OpType_ScatterNd, (std::vector<int>{2}));
+} // namespace MNN