wehub-resource-sync
70 lines
2.5 KiB
C++
70 lines
2.5 KiB
C++
// Copyright (c) 2024 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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#pragma once
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#include <glog/logging.h>
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#include "paddle/fluid/inference/openvino/engine.h"
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namespace paddle {
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namespace inference {
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namespace openvino {
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template <typename T>
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void OpenVINOEngine::BindingInput(const std::string& input_name,
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ov::element::Type ov_type,
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std::vector<size_t> data_shape,
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T* data,
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int64_t data_num,
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int64_t index) {
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ov::Output<const ov::Node> model_input =
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HaveInputTensorName(input_name) ? complied_model_.input(input_name)
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: complied_model_.input(index);
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PADDLE_ENFORCE_EQ(
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model_input.get_element_type() == ov_type,
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true,
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common::errors::PreconditionNotMet(
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"Model input_name[%s] index[%d] requires input type [%s],but "
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"receives type [%s]",
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input_name,
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index,
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OVType2PhiType(model_input.get_element_type()),
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OVType2PhiType(ov_type)));
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if (IsModelStatic()) {
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PADDLE_ENFORCE_EQ(
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model_input.get_partial_shape().compatible(
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ov::PartialShape(data_shape)),
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true,
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common::errors::PreconditionNotMet(
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"Model input_name[%s] index[%d] requires input_shape is [%s]!",
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input_name,
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index,
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model_input.get_partial_shape().to_string()));
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}
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try {
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auto requestTensor = infer_request_.get_tensor(input_name);
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requestTensor.set_shape(data_shape);
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auto input_shape = requestTensor.get_shape();
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std::memcpy(
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requestTensor.data(), static_cast<void*>(data), data_num * sizeof(T));
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infer_request_.set_tensor(input_name, requestTensor);
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} catch (const std::exception& exp) {
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LOG(ERROR) << exp.what();
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}
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}
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} // namespace openvino
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} // namespace inference
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} // namespace paddle
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