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 +1,56 @@
+//
+//  PreluPlugin.cpp
+//  MNN
+//
+//  Created by MNN on b'2020/08/10'.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#include "PreluPlugin.hpp"
+#include <MNN/MNNDefine.h>
+namespace MNN {
+
+PreluPlugin::PreluPlugin(const Op* op, const MNNTRTPlugin::Plugin* plugin) {
+    auto shape  = plugin->outputs()->GetAs<MNNTRTPlugin::Shape>(0);
+    mInputB     = shape->dim()->data()[0];
+    mInputC     = shape->dim()->data()[1];
+    mInputPlane = 1;
+    for (int i = 2; i < shape->dim()->size(); ++i) {
+        mInputPlane *= shape->dim()->data()[i];
+        // printf("Prelu: %d\n", mInputPlane);
+    }
+    mInputCount = mInputB * mInputC * mInputPlane;
+    if (op->type() == OpType_ReLU) {
+        float slope = op->main_as_Relu()->slope();
+        cudaMalloc(&mDeviceKernel, 1 * sizeof(float));
+        MNN_ASSERT(nullptr != mDeviceKernel);
+        cudaMemcpy(mDeviceKernel, &slope, 1 * sizeof(float), cudaMemcpyHostToDevice);
+        mIsChannelShared = true;
+    } else {
+        auto slopCount = op->main_as_PRelu()->slope()->size();
+        auto alphaData = op->main_as_PRelu()->slope()->data();
+        cudaMalloc(&mDeviceKernel, slopCount * sizeof(float));
+        MNN_ASSERT(nullptr != mDeviceKernel);
+        cudaMemcpy(mDeviceKernel, alphaData, slopCount * sizeof(float), cudaMemcpyHostToDevice);
+        mIsChannelShared = slopCount == 1;
+    }
+}
+
+PreluPlugin::~PreluPlugin() {
+    cudaFree(mDeviceKernel);
+}
+
+int PreluPlugin::onEnqueue(int batchSize, const void* const* inputs, void** outputs, void*, nvinfer1::DataType dataType, cudaStream_t stream) {
+    const float* bottom_data = reinterpret_cast<const float*>(inputs[0]);
+    float* top_data          = reinterpret_cast<float*>(outputs[0]);
+
+    const int count    = batchSize * mInputCount;
+    const int dim      = mInputPlane;
+    const int channels = mInputC;
+    const int div_factor = mIsChannelShared ? channels : 1; // mIsChannelShared default is false
+
+    return PReLUExecute(dataType, count, channels, dim, bottom_data, top_data, mDeviceKernel, div_factor, stream);
+
+}
+
+}; // namespace MNN