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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+//
+//  ShapeOneHot.cpp
+//  MNN
+//
+//  Created by MNN on 2019/11/29.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+
+#include "shape/SizeComputer.hpp"
+#include "core/Macro.h"
+
+namespace MNN {
+class ShapeOneHot : public SizeComputer {
+public:
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        MNN_ASSERT(4 == inputs.size());
+        auto indices     = inputs[0];
+        auto depthTensor = inputs[1];
+
+        const int depth = depthTensor->host<int>()[0];
+        if (depth < 0) {
+            return false;
+        }
+        const int indicesDimension = indices->dimensions();
+        const int outputDimension  = indicesDimension + 1;
+
+        auto param = op->main_as_OneHotParam();
+        int axis = param->axis();
+        if (axis < 0) {
+            axis = outputDimension + axis;
+        }
+        auto output                 = outputs[0];
+        output->buffer().dimensions = outputDimension;
+        output->buffer().type = inputs[2]->buffer().type;
+        for (int i = 0; i < outputDimension; ++i) {
+            if (i < axis) {
+                output->setLength(i, indices->length(i));
+            } else if (i == axis) {
+                output->setLength(i, depth);
+            } else {
+                output->setLength(i, indices->length(i - 1));
+            }
+        }
+        TensorUtils::getDescribe(output)->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+        return true;
+    }
+};
+
+REGISTER_SHAPE_INPUTS(ShapeOneHot, OpType_OneHot, (std::vector<int>{1}));
+} // namespace MNN