mirror of https://github.com/alibaba/MNN.git
59 lines
1.7 KiB
C++
59 lines
1.7 KiB
C++
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//
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// CPURange.cpp
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// MNN
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//
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// Created by MNN on 2018/08/22.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "CPURange.hpp"
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#include "CPUBackend.hpp"
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#include "Macro.h"
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namespace MNN {
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template <typename T>
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CPURange<T>::CPURange(Backend* backend) : Execution(backend) {
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// nothing to do
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}
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template <typename T>
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ErrorCode CPURange<T>::onExecute(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs) {
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const T start = inputs[0]->host<T>()[0];
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const T delta = inputs[2]->host<T>()[0];
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int32_t outputSize = outputs[0]->buffer().dim[0].extent;
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auto flat = outputs[0]->host<T>();
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T val = start;
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for (int32_t i = 0; i < outputSize; ++i) {
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flat[i] = T(val);
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val += delta;
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}
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return NO_ERROR;
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}
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class CPURangeCreator : public CPUBackend::Creator {
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public:
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virtual Execution* onCreate(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
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const MNN::Op* op, Backend* backend) const {
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auto CPURange = op->main_as_Range();
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switch (CPURange->Tidx()) {
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case DataType_DT_INT32:
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return new MNN::CPURange<int32_t>(backend);
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case DataType_DT_INT64:
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return new MNN::CPURange<int64_t>(backend);
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case DataType_DT_FLOAT:
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return new MNN::CPURange<float>(backend);
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case DataType_DT_DOUBLE:
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return new MNN::CPURange<double>(backend);
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default:
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MNN_ASSERT(false); // unsupported type
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return nullptr;
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}
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}
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};
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REGISTER_CPU_OP_CREATOR(CPURangeCreator, OpType_Range);
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} // namespace MNN
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