59 lines
1.7 KiB
C++
59 lines
1.7 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef MMDEPLOY_SRC_NET_PPL_PPL_NET_H_
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#define MMDEPLOY_SRC_NET_PPL_PPL_NET_H_
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#include "core/mpl/span.h"
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#include "core/net.h"
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#include "ppl/nn/engines/engine.h"
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#include "ppl/nn/runtime/runtime.h"
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namespace mmdeploy {
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using PPLTensor = ppl::nn::Tensor;
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class PPLNet : public Net {
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public:
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~PPLNet() override;
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Result<void> Init(const Value& args) override;
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Result<void> Deinit() override;
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Result<void> Reshape(Span<TensorShape> input_shapes) override;
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Result<Span<Tensor> > GetInputTensors() override;
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Result<Span<Tensor> > GetOutputTensors() override;
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Result<void> Forward() override;
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Result<void> ForwardAsync(Event* event) override;
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static Result<std::vector<TensorShape> > InferOutputShapes(Span<TensorShape> input_shapes,
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Span<TensorShape> prev_in_shapes,
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Span<TensorShape> prev_out_shapes);
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private:
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static Tensor CreateInternalTensor(ppl::nn::Tensor* src, Device device);
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static Result<int64_t> GetBatchSize(Span<TensorShape> shapes);
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static std::vector<TensorShape> GetShapes(Span<Tensor> tensors);
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Device device_;
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Stream stream_;
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std::vector<std::unique_ptr<ppl::nn::Engine> > engines_;
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std::vector<Tensor> inputs_external_;
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std::vector<Tensor> outputs_external_;
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std::vector<PPLTensor*> inputs_internal_;
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std::vector<PPLTensor*> outputs_internal_;
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std::unique_ptr<ppl::nn::Runtime> runtime_;
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bool can_infer_output_shapes_{false};
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static constexpr const auto kHost = Device(0);
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};
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} // namespace mmdeploy
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#endif // MMDEPLOY_SRC_NET_PPL_PPL_NET_H_
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