wehub-resource-sync
50 lines
1.7 KiB
C++
50 lines
1.7 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#include "paddle/fluid/jit/function.h"
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#include <string>
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#include <vector>
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#include "paddle/phi/api/include/tensor.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/fluid/jit/engine/base_engine.h"
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#include "paddle/fluid/jit/function_utils.h"
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namespace paddle::jit {
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Function::Function(BaseEngine* engine) : engine_(engine) {}
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std::vector<Tensor> Function::operator()(
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const std::vector<Tensor>& inputs) const {
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PADDLE_ENFORCE_EQ(IsValid(),
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true,
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common::errors::PreconditionNotMet(
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"Function engine ptr is nullptr, please check it."));
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auto dense_tensors = utils::ToDenseTensors(inputs);
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return utils::ToTensors(this->operator()(dense_tensors));
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}
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std::vector<DenseTensor> Function::operator()(
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const std::vector<DenseTensor>& inputs) const {
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PADDLE_ENFORCE_EQ(IsValid(),
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true,
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common::errors::PreconditionNotMet(
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"Function engine ptr is nullptr, please check it."));
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return (*engine_)(inputs);
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}
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} // namespace paddle::jit
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