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 +1,71 @@
+//
+//  ShapeWhere.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 {
+#define MNN_WHERE_OLD_VERSION
+
+template <typename T>
+int _count(Tensor* t) {
+    const T* ptr = t->host<T>();
+    int count = 0;
+    for (int i = 0; i < t->elementSize(); i++) {
+        count += (ptr[i] > 0);
+    }
+    return count;
+}
+
+class WhereSizeComputer : public SizeComputer {
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        MNN_ASSERT(1 == inputs.size());
+        MNN_ASSERT(1 == outputs.size());
+        auto& ib = inputs[0]->buffer();
+        auto& ob = outputs[0]->buffer();
+        ob.dimensions = 2;
+        ob.dim[0].extent = inputs[0]->elementSize();
+        ob.dim[1].extent = ib.dimensions;
+        TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+        outputs[0]->buffer().type = halide_type_of<int32_t>();
+        auto param = op->main_as_Extra();
+        if (param == nullptr) {
+            // support old version
+            return true;
+        }
+        // For zeroshape input
+        if (nullptr == inputs[0]->host<void>()) {
+            ob.dim[0].extent = 0;
+            return true;
+        }
+        int count = 0;
+        if (ib.type == halide_type_of<float>()) {
+            count = _count<float>(inputs[0]);
+        } else if (ib.type == halide_type_of<int32_t>()) {
+            count = _count<int32_t>(inputs[0]);
+        } else if (ib.type == halide_type_of<uint8_t>()) {
+            count = _count<uint8_t>(inputs[0]);
+        } else {
+            return false;
+        }
+
+        if (count > 0) {
+            ob.dim[0].extent = count;
+        } else {
+            // When no true element is found, the second demision should be kept, other than squeezed.
+            ob.dimensions = 2;
+            ob.dim[0].extent = 0;
+            ob.dim[1].extent = ib.dimensions;
+        }
+        return true;
+    }
+};
+
+REGISTER_SHAPE_INPUTS(WhereSizeComputer, OpType_Where, std::vector<int>{0});
+} // namespace MNN