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 +1,56 @@
+//
+//  NNAPIReduction.cpp
+//  MNN
+//
+//  Created by MNN on 2022/10/26.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include "NNAPIReduction.hpp"
+
+namespace MNN {
+
+
+NNAPIReduction::NNAPIReduction(MNN::Backend *b, const MNN::Op *op, const std::vector<Tensor *> &inputs, const std::vector<MNN::Tensor *> &outputs) : NNAPICommonExecution(b, op) {
+}
+
+ErrorCode NNAPIReduction::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
+    MNN_ASSERT(inputs.size() == 1 && outputs.size() == 1);
+    std::map<ReductionType, int> reduce_map {
+        {ReductionType_SUM, ANEURALNETWORKS_REDUCE_SUM},
+        {ReductionType_ASUM, -1},
+        {ReductionType_SUMSQ, -1},
+        {ReductionType_MEAN, ANEURALNETWORKS_MEAN},
+        {ReductionType_MAXIMUM, ANEURALNETWORKS_REDUCE_MAX},
+        {ReductionType_MINIMUM, ANEURALNETWORKS_REDUCE_MIN},
+        {ReductionType_PROD, ANEURALNETWORKS_REDUCE_PROD},
+        {ReductionType_ALL, ANEURALNETWORKS_REDUCE_ALL},
+        {ReductionType_ANY, ANEURALNETWORKS_REDUCE_ANY}
+    };
+    auto param = mOp->main_as_ReductionParam();
+    auto operation = param->operation();
+    auto dim = param->dim();
+    bool keep_dims = param->keepDims();
+    auto iter = reduce_map.find(operation);
+    if (iter == reduce_map.end() || iter->second < 0) {
+        MNN_ERROR("[NNAPI] Reduction not support %s\n", MNN::EnumNameReductionType(operation));
+        return NOT_SUPPORT;
+    }
+    // reduce : [input, dim, keep_dims]
+    auto inputIdxs = getTensorIdxs(inputs);
+    // inputIdxs.push_back(buildConstant(dim->data(), dim->size() * sizeof(int), ANEURALNETWORKS_TENSOR_INT32, {static_cast<uint32_t>(dim->size())}));
+    std::vector<int> rdim(1);
+    rdim[0] = dim->data()[0];
+    inputIdxs.push_back(buildVector(rdim));
+    if (operation == ReductionType_MEAN) {
+        // mean arg_2 is `int32_t`
+        inputIdxs.push_back(buildScalar(static_cast<int>(keep_dims)));
+    } else {
+        // other reduce arg_2 is `bool`
+        inputIdxs.push_back(buildScalar(keep_dims));
+    }
+    return buildOperation(iter->second, inputIdxs, getTensorIdxs(outputs));
+}
+
+REGISTER_NNAPI_OP_CREATOR(NNAPIReduction, OpType_Reduction)
+} // namespace MNN