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 +1,100 @@
+//
+//  CastBufExecution.cpp
+//  MNN
+//
+//  Created by MNN on 2023/08/11.
+//  Copyright © 2018, Alibaba Group Holding Limited
+//
+
+#ifndef MNN_OPENCL_BUFFER_CLOSED
+#include "backend/opencl/execution/buffer/CastBufExecution.hpp"
+
+namespace MNN {
+namespace OpenCL {
+
+CastBufExecution::CastBufExecution(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs, const std::string& compute, const MNN::Op* op, Backend* backend) : CommonExecution(backend, op) {
+    mBuildOptions.emplace(compute);
+}
+ErrorCode CastBufExecution::onEncode(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs) {
+    mUnits.resize(1);
+    auto &unit = mUnits[0];
+    Tensor* input      = inputs[0];
+    Tensor* output     = outputs[0];
+    auto openCLBackend = static_cast<OpenCLBackend*>(backend());
+    auto runtime       = openCLBackend->getOpenCLRuntime();
+
+    std::vector<int> outputShape = tensorShapeFormat(output);
+    int totalSize = 0;
+    if(MNN::MNN_DATA_FORMAT_NC4HW4 == TensorUtils::getDescribe(output)->dimensionFormat){
+        totalSize = outputShape[0] * outputShape[1] * outputShape[2] * ROUND_UP(outputShape[3], 4);
+    }else{
+        totalSize = outputShape[0] * outputShape[1] * outputShape[2] * outputShape[3];
+    }
+    std::set<std::string> buildOptions = mBuildOptions;
+    if(totalSize % 4 != 0) {
+        buildOptions.emplace("-DPACK_LEAVE");
+    }
+    unit.kernel = runtime->buildKernel("cast_buf", "cast_buf", mBuildOptions, openCLBackend->getPrecision(), inputs[0], outputs[0]);
+    mMaxWorkGroupSize = static_cast<uint32_t>(runtime->getMaxWorkGroupSize(unit.kernel));
+    
+    mGlobalWorkSize = {
+        static_cast<uint32_t>(UP_DIV(totalSize, 4)),
+        static_cast<uint32_t>(1)
+    };
+
+    uint32_t idx = 0;
+    cl_int ret = CL_SUCCESS;
+    ret |= unit.kernel->get().setArg(idx++, mGlobalWorkSize[0]);
+    ret |= unit.kernel->get().setArg(idx++, mGlobalWorkSize[1]);
+    ret |= unit.kernel->get().setArg(idx++, openCLBuffer(input));
+    ret |= unit.kernel->get().setArg(idx++, openCLBuffer(output));
+    ret |= unit.kernel->get().setArg(idx++, totalSize);
+    MNN_CHECK_CL_SUCCESS(ret, "setArg CastBufExecution");
+
+    std::string kernelName = "cast_buf";
+    mLocalSize = localWS2DDefault(mGlobalWorkSize, mMaxWorkGroupSize, openCLBackend->getOpenCLRuntime(), kernelName, unit.kernel, openCLBackend->getCLTuneLevel(), "cast_buf").first;
+    openCLBackend->recordKernel2d(unit.kernel, mGlobalWorkSize, mLocalSize);
+    unit.globalWorkSize = {mGlobalWorkSize[0], mGlobalWorkSize[1]};
+    unit.localWorkSize = {mLocalSize[0], mLocalSize[1]};
+    return NO_ERROR;
+}
+
+static DataType _mapDataType(DataType src) {
+    if (DataType_DT_BOOL == src) {
+        return DataType_DT_INT32;
+    }
+    if (DataType_DT_INT64 == src) {
+        return DataType_DT_INT32;
+    }
+    if (DataType_DT_DOUBLE == src) {
+        return DataType_DT_FLOAT;
+    }
+    return src;
+}
+
+class CastBufCreator : public OpenCLBackend::Creator {
+public:
+    virtual Execution* onCreate(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
+                                const MNN::Op* op, Backend* backend) const override {
+        for (int i = 0; i < inputs.size(); ++i) {
+            TensorUtils::setTensorSupportPack(inputs[i], false);
+        }
+        for (int i = 0; i < outputs.size(); ++i) {
+            TensorUtils::setTensorSupportPack(outputs[i], false);
+        }
+        auto cast = op->main_as_CastParam();
+        // cast param srcT is invalid
+        // auto srcT = _mapDataType(cast->srcT());
+        auto dstT = _mapDataType(cast->dstT());
+
+        const auto &inputDataType = inputs[0]->getType();
+        if (inputDataType.bytes() == 4 && cast->dstT() == MNN::DataType_DT_BOOL) OPENCL_CREATOR_CHECK(new CastBufExecution(inputs, outputs, "-DTO_BOOL", op, backend)); else OPENCL_CREATOR_CHECK(new CastBufExecution(inputs, outputs, "", op, backend));
+        return nullptr;
+    }
+};
+
+REGISTER_OPENCL_OP_CREATOR(CastBufCreator, OpType_Cast, BUFFER);
+
+} // namespace OpenCL
+} // namespace MNN
+#endif /* MNN_OPENCL_BUFFER_CLOSED */