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92 lines
2.6 KiB
92 lines
2.6 KiB
/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#ifdef PADDLE_WITH_ASCEND_CL
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#pragma once
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#include <paddle/fluid/framework/operator.h>
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#include <paddle/fluid/framework/type_defs.h>
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#include <string>
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#include <vector>
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#include "acl/acl.h"
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#include "paddle/fluid/operators/npu_op_runner.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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using DataLayout = framework::DataLayout;
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using NPUAttribute = framework::NPUAttribute;
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using NPUAttributeMap = framework::NPUAttributeMap;
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class NpuOpRunner {
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public:
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explicit NpuOpRunner(std::string op_type);
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explicit NpuOpRunner(std::string op_type,
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const std::vector<Tensor> &inputs = {},
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const std::vector<Tensor> &outputs = {},
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const NPUAttributeMap &attrs = {});
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~NpuOpRunner();
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const std::string &Type();
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NpuOpRunner &AddAttr(const std::string &name, const NPUAttribute &attr);
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NpuOpRunner &AddAttrs(const NPUAttributeMap &attrs);
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NpuOpRunner &AddInput(const Tensor &tensor);
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NpuOpRunner &AddOutput(const Tensor &tensor);
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NpuOpRunner &AddInputs(const std::vector<Tensor> &tensors);
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NpuOpRunner &AddInputNames(const std::vector<std::string> &names);
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NpuOpRunner &AddOutputs(const std::vector<Tensor> &tensors);
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aclTensorDesc *GetInputDesc(size_t index);
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aclTensorDesc *GetOutputDesc(size_t index);
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std::vector<aclTensorDesc *> &GetInputDescs();
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std::vector<aclTensorDesc *> &GetOutputDescs();
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std::vector<aclDataBuffer *> &GetInputBuffers();
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std::vector<aclDataBuffer *> &GetOutputBuffers();
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void Run(aclrtStream stream = nullptr);
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private:
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aclTensorDesc *CreateTensorDesc(Tensor tensor);
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aclDataBuffer *CreateDataBuffer(Tensor tensor);
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private:
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std::string op_type_;
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std::vector<aclDataBuffer *> input_buffers_;
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std::vector<aclDataBuffer *> output_buffers_;
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std::vector<aclTensorDesc *> input_descs_;
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std::vector<aclTensorDesc *> output_descs_;
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aclopAttr *attr_{nullptr};
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};
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aclDataType ConvertToNpuDtype(framework::proto::VarType::Type dtype);
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} // namespace operators
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} // namespace paddle
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#endif
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