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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+//
+//  ShapeSplitGelu.cpp
+//  MNN
+//
+//  Created by MNN on 2023/09/10.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+#ifdef MNN_SUPPORT_TRANSFORMER_FUSE
+#include "shape/SizeComputer.hpp"
+#include "core/Macro.h"
+#include "core/TensorUtils.hpp"
+
+namespace MNN {
+
+class SplitGeLUSizeComputer : public SizeComputer {
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        auto input0 = inputs[0], output0 = outputs[0];
+        MNN_ASSERT(inputs.size() == 1);
+        MNN_ASSERT(input0->buffer().dimensions == 3);
+	    output0->buffer().dimensions = 3;
+        output0->buffer().dim[0].extent = input0->buffer().dim[0].extent;
+        output0->buffer().dim[1].extent = input0->buffer().dim[1].extent;
+        output0->buffer().dim[2].extent = input0->buffer().dim[2].extent / 2;
+        //MNN_PRINT("SplitGelu shape:%d %d, %d %d %d %d %d\n", input0->buffer().dimensions, output0->buffer().dimensions, input0->buffer().dim[0].extent, input0->buffer().dim[1].extent, input0->buffer().dim[2].extent, input0->buffer().dim[3].extent, input0->buffer().dim[4].extent);
+        output0->buffer().type = input0->buffer().type;
+        TensorUtils::getDescribe(output0)->dimensionFormat = TensorUtils::getDescribe(input0)->dimensionFormat;
+
+        return true;
+    }
+};
+
+class SeqLen2SpatialSizeComputer : public SizeComputer {
+    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
+                               const std::vector<Tensor*>& outputs) const override {
+        MNN_ASSERT(inputs.size() == 4);
+        auto input3 = inputs[0];
+        auto output0 = outputs[0];
+	    output0->buffer().dimensions = input3->buffer().dimensions;
+        for(int i = 0; i < input3->buffer().dimensions; i++) {
+            output0->buffer().dim[i].extent = input3->buffer().dim[i].extent;
+        }
+        output0->buffer().type = input3->buffer().type;
+        TensorUtils::getDescribe(output0)->dimensionFormat = TensorUtils::getDescribe(input3)->dimensionFormat;
+
+        return true;
+    }
+};
+
+REGISTER_SHAPE_INPUTS_TRANSFORMER_FUSE(SplitGeLUSizeComputer, OpType_SplitGeLU);
+REGISTER_SHAPE_INPUTS_TRANSFORMER_FUSE(SeqLen2SpatialSizeComputer, OpType_SeqLen2Spatial);
+
+} // namespace MNN
+#endif