ec6f57872f
* Renamed ov::Function to ov::Model * Fixed all for macos * Fixed build * Fixed build * Revert changes in GPU plugin * Fixed ngraphFunctions * Fixed all for mac * Fixed new test * Fixed if for Windows * Fixed unit tests and renamed Function in python API * Fixed code style * Fixed import * Fixed conflict * Fixed merge issues
90 lines
3.2 KiB
C++
90 lines
3.2 KiB
C++
// Copyright (C) 2018-2021 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#include <openvino/core/core.hpp>
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#include <openvino/runtime/runtime.hpp>
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void inputs_v10(ov::runtime::InferRequest& infer_request) {
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//! [ov_api_2_0:get_input_tensor_v10]
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// Get input tensor by index
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ov::runtime::Tensor input_tensor1 = infer_request.get_input_tensor(0);
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// IR v10 works with converted precisions (i64 -> i32)
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auto data1 = input_tensor1.data<int32_t>();
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// Fill first data ...
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// Get input tensor by tensor name
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ov::runtime::Tensor input_tensor2 = infer_request.get_tensor("data2_t");
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// IR v10 works with converted precisions (i64 -> i32)
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auto data2 = input_tensor1.data<int32_t>();
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// Fill first data ...
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//! [ov_api_2_0:get_input_tensor_v10]
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}
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void inputs_aligned(ov::runtime::InferRequest& infer_request) {
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//! [ov_api_2_0:get_input_tensor_aligned]
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// Get input tensor by index
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ov::runtime::Tensor input_tensor1 = infer_request.get_input_tensor(0);
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// Element types, names and layouts are aligned with framework
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auto data1 = input_tensor1.data<int64_t>();
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// Fill first data ...
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// Get input tensor by tensor name
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ov::runtime::Tensor input_tensor2 = infer_request.get_tensor("data2_t");
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// Element types, names and layouts are aligned with framework
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auto data2 = input_tensor1.data<int64_t>();
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// Fill first data ...
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//! [ov_api_2_0:get_input_tensor_aligned]
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}
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void outputs_v10(ov::runtime::InferRequest& infer_request) {
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//! [ov_api_2_0:get_output_tensor_v10]
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// model has only one output
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ov::runtime::Tensor output_tensor = infer_request.get_output_tensor();
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// IR v10 works with converted precisions (i64 -> i32)
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auto out_data = output_tensor.data<int32_t>();
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// process output data
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//! [ov_api_2_0:get_output_tensor_v10]
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}
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void outputs_aligned(ov::runtime::InferRequest& infer_request) {
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//! [ov_api_2_0:get_output_tensor_aligned]
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// model has only one output
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ov::runtime::Tensor output_tensor = infer_request.get_output_tensor();
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// Element types, names and layouts are aligned with framework
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auto out_data = output_tensor.data<int64_t>();
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// process output data
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//! [ov_api_2_0:get_output_tensor_aligned]
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}
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int main() {
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//! [ov_api_2_0:create_core]
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ov::runtime::Core core;
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//! [ov_api_2_0:create_core]
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//! [ov_api_2_0:read_model]
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std::shared_ptr<ov::Model> network = core.read_model("model.xml");
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//! [ov_api_2_0:read_model]
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//! [ov_api_2_0:get_inputs_outputs]
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std::vector<ov::Output<ov::Node>> inputs = network->inputs();
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std::vector<ov::Output<ov::Node>> outputs = network->outputs();
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//! [ov_api_2_0:get_inputs_outputs]
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//! [ov_api_2_0:compile_model]
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ov::runtime::ExecutableNetwork exec_network = core.compile_model(network, "CPU");
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//! [ov_api_2_0:compile_model]
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//! [ov_api_2_0:create_infer_request]
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ov::runtime::InferRequest infer_request = exec_network.create_infer_request();
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//! [ov_api_2_0:create_infer_request]
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inputs_aligned(infer_request);
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//! [ov_api_2_0:inference]
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infer_request.infer();
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//! [ov_api_2_0:inference]
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outputs_aligned(infer_request);
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return 0;
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}
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