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dnn(openvino): fix custom layers BlockingDesc

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This commit is contained in:
Alexander Alekhin 2022-11-30 01:26:09 +00:00
parent d9f66413ee
commit 74d0b4cc78
1 changed files with 2 additions and 3 deletions
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5
modules/dnn/src/ie_ngraph.cpp
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@ -204,14 +204,13 @@ public:
std::vector<InferenceEngine::DataConfig> outDataConfig;
#if INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2020_2)
InferenceEngine::SizeVector order;
size_t offset = std::numeric_limits<size_t>::max();
for (int i = 0; i < node->get_input_size(); ++i)
{
InferenceEngine::DataConfig conf;
auto shape = node->input_value(i).get_shape();
order.resize(shape.size());
std::iota(order.begin(), order.end(), 0);
conf.desc = InferenceEngine::TensorDesc(InferenceEngine::Precision::FP32, shape, {shape, order, offset});
conf.desc = InferenceEngine::TensorDesc(InferenceEngine::Precision::FP32, shape, {shape, order});
inDataConfig.push_back(conf);
}
@ -221,7 +220,7 @@ public:
auto shape = node->output(i).get_shape();
order.resize(shape.size());
std::iota(order.begin(), order.end(), 0);
conf.desc = InferenceEngine::TensorDesc(InferenceEngine::Precision::FP32, shape, {shape, order, offset});
conf.desc = InferenceEngine::TensorDesc(InferenceEngine::Precision::FP32, shape, {shape, order});
outDataConfig.push_back(conf);
}
#else