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 +1,50 @@
+//
+//  ShapeDet.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 DynamicQuantComputer : public SizeComputer {
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        MNN_ASSERT(outputs.size() == 3);
+        if (inputs.size() != 1) {
+            MNN_ERROR("DynamicQuant only accept 1 input\n");
+            return false;
+        }
+        auto input = inputs[0];
+        auto output = outputs[0];
+        int dimSize = input->dimensions();
+        output->buffer().dimensions = dimSize;
+        for (int i = 0; i < dimSize; ++i) {
+            output->buffer().dim[i].extent = input->buffer().dim[i].extent;
+        }
+        auto scale = outputs[1];
+        auto zeroPoint = outputs[2];
+        scale->buffer().dimensions = 1;
+        zeroPoint->buffer().dimensions = 1;
+        scale->buffer().dim[0].extent = 1;
+        zeroPoint->buffer().dim[0].extent = 1;
+        
+        TensorUtils::getDescribe(output)->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+        output->buffer().type = halide_type_of<int8_t>();
+        
+        TensorUtils::getDescribe(scale)->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+        scale->buffer().type = halide_type_of<float>();
+        
+        TensorUtils::getDescribe(output)->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
+        zeroPoint->buffer().type = halide_type_of<float>();
+
+        return true;
+    }
+};
+
+REGISTER_SHAPE(DynamicQuantComputer, OpType_DynamicQuant);
+
+} // namespace MNN