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 +1,73 @@
+//
+//  PoolingTf.cpp
+//  MNNConverter
+//
+//  Created by MNN on 2019/01/31.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include "TfUtils.hpp"
+#include "graph.pb.h"
+#include "tfOpConverter.hpp"
+
+DECLARE_OP_CONVERTER(PoolingTf);
+
+MNN::OpType PoolingTf::opType() {
+    return MNN::OpType_Pooling;
+}
+MNN::OpParameter PoolingTf::type() {
+    return MNN::OpParameter_Pool;
+}
+
+// input: tensor
+void PoolingTf::run(MNN::OpT *dstOp, TmpNode *srcNode) {
+    auto pool = new MNN::PoolT;
+
+    tensorflow::AttrValue value;
+
+    int kernel_size_h = 1;
+    int kernel_size_w = 1;
+    int stride_h      = 1;
+    int stride_w      = 1;
+
+    if (srcNode->opType == "AvgPool") {
+        pool->type = MNN::PoolType_AVEPOOL;
+    } else if (srcNode->opType == "MaxPool") {
+        pool->type = MNN::PoolType_MAXPOOL;
+    } else {
+        DLOG(ERROR) << "Not Support This Pooling Type: " << srcNode->opType;
+    }
+
+    if (find_attr_value(srcNode->tfNode, "ksize", value)) {
+        kernel_size_h = value.list().i(1);
+        kernel_size_w = value.list().i(2);
+    }
+    pool->kernelX = kernel_size_w;
+    pool->kernelY = kernel_size_h;
+
+    if (find_attr_value(srcNode->tfNode, "strides", value)) {
+        stride_h = value.list().i(1);
+        stride_w = value.list().i(2);
+    }
+    pool->strideX = stride_w;
+    pool->strideY = stride_h;
+
+    if (find_attr_value(srcNode->tfNode, "padding", value)) {
+        if (value.s() == "VALID") {
+            pool->padType = MNN::PoolPadType_VALID;
+        } else if (value.s() == "SAME") {
+            pool->padType = MNN::PoolPadType_SAME;
+        } else {
+            DLOG(ERROR) << "Not Support This Padding Mode";
+        }
+    }
+    pool->padY = 0; // runtime compute this pad
+    pool->padX = 0;
+
+    pool->isGlobal = false; // TODO
+
+    dstOp->main.value = pool;
+}
+
+REGISTER_CONVERTER(PoolingTf, MaxPool);
+REGISTER_CONVERTER(PoolingTf, AvgPool);