62 lines
2.0 KiB
C++
62 lines
2.0 KiB
C++
#ifdef ENABLE_LIBVA
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#include <openvino/runtime/core.hpp>
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#define OV_GPU_USE_OPENCL_HPP
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#include <openvino/runtime/intel_gpu/ocl/va.hpp>
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#include <openvino/runtime/intel_gpu/properties.hpp>
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#include <openvino/core/preprocess/pre_post_process.hpp>
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VADisplay get_va_display();
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VASurfaceID decode_va_surface();
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int main() {
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// initialize the objects
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ov::Core core;
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auto model = core.read_model("model.xml");
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// ...
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//! [context_sharing_va]
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// ...
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using namespace ov::preprocess;
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auto p = PrePostProcessor(model);
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p.input().tensor().set_element_type(ov::element::u8)
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.set_color_format(ov::preprocess::ColorFormat::NV12_TWO_PLANES, {"y", "uv"})
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.set_memory_type(ov::intel_gpu::memory_type::surface);
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p.input().preprocess().convert_color(ov::preprocess::ColorFormat::BGR);
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p.input().model().set_layout("NCHW");
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model = p.build();
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VADisplay disp = get_va_display();
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// create the shared context object
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auto shared_va_context = ov::intel_gpu::ocl::VAContext(core, disp);
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// compile model within a shared context
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auto compiled_model = core.compile_model(model, shared_va_context);
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auto input0 = model->get_parameters().at(0);
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auto input1 = model->get_parameters().at(1);
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auto shape = input0->get_shape();
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auto width = shape[1];
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auto height = shape[2];
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// execute decoding and obtain decoded surface handle
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VASurfaceID va_surface = decode_va_surface();
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// ...
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//wrap decoder output into RemoteBlobs and set it as inference input
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auto nv12_blob = shared_va_context.create_tensor_nv12(height, width, va_surface);
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auto infer_request = compiled_model.create_infer_request();
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infer_request.set_tensor(input0->get_friendly_name(), nv12_blob.first);
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infer_request.set_tensor(input1->get_friendly_name(), nv12_blob.second);
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infer_request.start_async();
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infer_request.wait();
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//! [context_sharing_va]
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return 0;
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}
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#endif // ENABLE_LIBVA
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