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 +1,96 @@
+//
+//  ResizeInterp.cpp
+//  MNNConverter
+//
+//  Created by MNN on 2019/01/31.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include "OpConverter.hpp"
+
+class Upsample : public OpConverter {
+public:
+    virtual void run(MNN::OpT* dstOp, const caffe::LayerParameter& parameters, const caffe::LayerParameter& weight);
+    Upsample() {
+    }
+    virtual ~Upsample() {
+    }
+    virtual MNN::OpType opType() {
+        return MNN::OpType_Resize;
+    }
+    virtual MNN::OpParameter type() {
+        return MNN::OpParameter_Resize;
+    }
+};
+
+void Upsample::run(MNN::OpT* dstOp, const caffe::LayerParameter& parameters, const caffe::LayerParameter& weight) {
+    auto resize       = new MNN::ResizeT;
+    dstOp->main.value = resize;
+    auto& r           = parameters.upsample_param();
+    resize->xScale    = r.scale();
+    resize->yScale    = r.scale();
+}
+static OpConverterRegister<Upsample> ___a("Upsample");
+
+class Resize : public OpConverter {
+public:
+    virtual void run(MNN::OpT* dstOp, const caffe::LayerParameter& parameters, const caffe::LayerParameter& weight);
+    Resize() {
+    }
+    virtual ~Resize() {
+    }
+    virtual MNN::OpType opType() {
+        return MNN::OpType_Resize;
+    }
+    virtual MNN::OpParameter type() {
+        return MNN::OpParameter_Resize;
+    }
+};
+
+void Resize::run(MNN::OpT* dstOp, const caffe::LayerParameter& parameters, const caffe::LayerParameter& weight) {
+    auto resize       = new MNN::ResizeT;
+    dstOp->main.value = resize;
+    auto& r           = parameters.img_size_param();
+    resize->xScale    = r.x_scaling();
+    resize->yScale    = r.y_scaling();
+}
+static OpConverterRegister<Resize> a("Resize");
+
+class Interp : public OpConverter {
+public:
+    virtual void run(MNN::OpT* dstOp, const caffe::LayerParameter& parameters, const caffe::LayerParameter& weight);
+    Interp() {
+    }
+    virtual ~Interp() {
+    }
+    virtual MNN::OpType opType() {
+        return MNN::OpType_Interp;
+    }
+    virtual MNN::OpParameter type() {
+        return MNN::OpParameter_Interp;
+    }
+};
+
+void Interp::run(MNN::OpT* dstOp, const caffe::LayerParameter& parameters, const caffe::LayerParameter& weight) {
+    auto resize         = new MNN::InterpT;
+    dstOp->main.value   = resize;
+    auto& Par           = parameters.interp_param();
+    resize->widthScale  = 1.0f;
+    resize->heightScale = 1.0f;
+    if (Par.has_shrink_factor()) {
+        resize->widthScale  = (float)(1.0 / Par.shrink_factor());
+        resize->heightScale = (float)(1.0 / Par.shrink_factor());
+    }
+    if (Par.has_zoom_factor()) {
+        resize->widthScale  = (float)(resize->widthScale + 1.0 / Par.zoom_factor());
+        resize->heightScale = (float)(resize->heightScale + 1.0 / Par.zoom_factor());
+    }
+    if (Par.has_height())
+        resize->outputHeight = Par.height();
+    if (Par.has_width())
+        resize->outputWidth = Par.width();
+    resize->resizeType   = 2;
+    resize->alignCorners = true;
+}
+
+static OpConverterRegister<Interp> b("Interp");