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 +1,77 @@
+//
+//  NPUFloatToInt8.cpp
+//  MNN
+//
+//  Created by MNN on 2019/09/11.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include "NPUFloatToInt8.hpp"
+#include "NPUBackend.hpp"
+#include "../3rdParty/include/graph/op/all_ops.h"
+#include <core/TensorUtils.hpp>
+
+using namespace std;
+
+namespace MNN {
+
+NPUFloatToInt8::NPUFloatToInt8(Backend *b, const Op *op, const std::vector<Tensor *> &inputs,
+                               const std::vector<Tensor *> &outputs)
+    : MNN::NPUCommonExecution(b,op) {}
+
+ErrorCode NPUFloatToInt8::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
+    mNpuBackend->setNetworkInput(inputs, mOp);
+
+    auto scale         = mOp->main_as_QuantizedFloatParam()->tensorScale();
+
+    auto opName = mOp->name()->str();
+    shared_ptr<hiai::op::Scale> floatToInt8(new hiai::op::Scale(opName));
+    auto xOp = mNpuBackend->getInputOps(mOp);
+
+    // om input filter const op
+    mConst_fliter = hiai::op::Const(opName + "_filter_const");
+    {
+        ge::TensorDesc fdesc(ge::Shape({1, scale->size(), 1, 1}), ge::FORMAT_NCHW, ge::DT_FLOAT); // in o h w ?
+        ge::TensorPtr filter = std::make_shared<ge::Tensor>();
+        filter->SetTensorDesc(fdesc);
+        filter->SetData((uint8_t *)scale->data(), scale->size() * sizeof(float));
+        mConst_fliter.set_attr_value(filter);
+    }
+
+    mConstMin = hiai::op::Const(opName + "_clip_min");
+    {
+        float minData = -127;
+        ge::TensorDesc fdesc(ge::Shape(), ge::FORMAT_NCHW, ge::DT_FLOAT);
+        ge::TensorPtr constTensor = std::make_shared<ge::Tensor>();
+        constTensor->SetTensorDesc(fdesc);
+        constTensor->SetData((uint8_t *)(&minData), sizeof(float));
+        mConstMin.set_attr_value(constTensor);
+    }
+
+    mConstMax = hiai::op::Const(opName + "_clip_max");
+    {
+        float maxData = 127;
+        ge::TensorDesc fdesc(ge::Shape(), ge::FORMAT_NCHW, ge::DT_FLOAT);
+        ge::TensorPtr constTensor = std::make_shared<ge::Tensor>();
+        constTensor->SetTensorDesc(fdesc);
+        constTensor->SetData((uint8_t *)(&maxData), sizeof(float));
+        mConstMax.set_attr_value(constTensor);
+    }
+    shared_ptr<hiai::op::ClipByValue> clip(new hiai::op::ClipByValue(opName + "clip"));
+    
+    (*floatToInt8)
+        .set_input_x(*xOp)
+        .set_input_scale(mConst_fliter);
+
+    (*clip)
+        .set_input_x(*floatToInt8)
+        .set_input_clip_value_min(mConstMin)
+        .set_input_clip_value_max(mConstMax);
+
+    mNpuBackend->setOutputOps(mOp, {floatToInt8, clip}, outputs);
+    return NO_ERROR;
+}
+
+NPUCreatorRegister<TypedCreator<NPUFloatToInt8>> __float_to_int8_op(OpType_FloatToInt8);
+
+} // namespace MNN