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Handle const inputs descs in giebackend
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@@ -1384,6 +1384,11 @@ struct Infer: public cv::detail::KernelTag {
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}
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}
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for (auto &&p : uu.params.const_inputs) {
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const auto ii = inputs.at(p.first);
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ii->setPrecision(toIE(p.second.first.depth()));
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}
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// FIXME: This isn't the best place to call reshape function.
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// Сorrect solution would be to do this in compile() method of network,
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// but now input meta isn't passed to compile() method.
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@@ -1506,6 +1511,12 @@ struct InferROI: public cv::detail::KernelTag {
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const_cast<IEUnit::InputFramesDesc &>(uu.net_input_params)
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.set_param(input_name, ii->getTensorDesc());
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}
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for (auto &&p : uu.params.const_inputs) {
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const auto ii = inputs.at(p.first);
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ii->setPrecision(toIE(p.second.first.depth()));
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}
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configureOutputPrecision(uu.net.getOutputsInfo(), uu.params.output_precision);
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} else {
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GAPI_Assert(uu.params.kind == cv::gapi::ie::detail::ParamDesc::Kind::Import);
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@@ -1624,6 +1635,12 @@ struct InferList: public cv::detail::KernelTag {
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if (!input_reshape_table.empty()) {
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const_cast<IE::CNNNetwork *>(&uu.net)->reshape(input_reshape_table);
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}
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for (auto &&p : uu.params.const_inputs) {
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const auto ii = inputs.at(p.first);
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ii->setPrecision(toIE(p.second.first.depth()));
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}
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configureOutputPrecision(uu.net.getOutputsInfo(), uu.params.output_precision);
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} else {
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GAPI_Assert(uu.params.kind == cv::gapi::ie::detail::ParamDesc::Kind::Import);
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@@ -1772,6 +1789,11 @@ struct InferList2: public cv::detail::KernelTag {
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ii->getPreProcess().setResizeAlgorithm(IE::RESIZE_BILINEAR);
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}
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for (auto &&p : uu.params.const_inputs) {
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const auto ii = inputs.at(p.first);
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ii->setPrecision(toIE(p.second.first.depth()));
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}
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// FIXME: This isn't the best place to call reshape function.
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// Сorrect solution would be to do this in compile() method of network,
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// but now input meta isn't passed to compile() method.
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