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openvino/inference-engine/tests/functional/inference_engine/ngraph_reader/sequences.cpp

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// Copyright (C) 2020 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <string>
#include "ngraph_reader_tests.hpp"
#include "common_test_utils/data_utils.hpp"
TEST_F(NGraphReaderTests, LSTMSeqNetwork) {
std::string model = R"V0G0N(
<net name="LSTMSeqNetwork" version="10">
<layers>
<layer id="0" name="0" type="Parameter" version="opset1">
<data element_type="f32" shape="10,3,512"/>
<output>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>3</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="1" name="1" type="Parameter" version="opset1">
<data element_type="f32" shape="10,1,256"/>
<output>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="2" name="2" type="Parameter" version="opset1">
<data element_type="f32" shape="10,1,256"/>
<output>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="3" name="3" type="Parameter" version="opset1">
<data element_type="f32" shape="10"/>
<output>
<port id="0" precision="FP32">
<dim>10</dim>
</port>
</output>
</layer>
<layer id="4" name="4" type="Parameter" version="opset1">
<data element_type="f32" shape="1,1024,512"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1024</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="5" name="5" type="Parameter" version="opset1">
<data element_type="f32" shape="1,1024,256"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1024</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="6" name="6" type="Parameter" version="opset1">
<data element_type="f32" shape="1,1024"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1024</dim>
</port>
</output>
</layer>
<layer id="7" name="layer/LSTMSequence" type="LSTMSequence" version="opset5">
<data hidden_size="256"/>
<input>
<port id="0">
<dim>10</dim>
<dim>3</dim>
<dim>512</dim>
</port>
<port id="1">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
<port id="2">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
<port id="3">
<dim>10</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>1024</dim>
<dim>512</dim>
</port>
<port id="5">
<dim>1</dim>
<dim>1024</dim>
<dim>256</dim>
</port>
<port id="6">
<dim>1</dim>
<dim>1024</dim>
</port>
</input>
<output>
<port id="7" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>3</dim>
<dim>256</dim>
</port>
<port id="8" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
<port id="9" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="8" name="8" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>3</dim>
<dim>256</dim>
</port>
</input>
</layer>
<layer id="9" name="9" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
</input>
</layer>
<layer id="10" name="10" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="7" to-port="0"/>
<edge from-layer="1" from-port="0" to-layer="7" to-port="1"/>
<edge from-layer="2" from-port="0" to-layer="7" to-port="2"/>
<edge from-layer="3" from-port="0" to-layer="7" to-port="3"/>
<edge from-layer="4" from-port="0" to-layer="7" to-port="4"/>
<edge from-layer="5" from-port="0" to-layer="7" to-port="5"/>
<edge from-layer="6" from-port="0" to-layer="7" to-port="6"/>
<edge from-layer="7" from-port="7" to-layer="8" to-port="0"/>
<edge from-layer="7" from-port="8" to-layer="9" to-port="0"/>
<edge from-layer="7" from-port="9" to-layer="10" to-port="0"/>
</edges>
</net>
)V0G0N";
Blob::CPtr blob;
Core reader;
reader.ReadNetwork(model, blob);
}
TEST_F(NGraphReaderTests, GRUSeqNetwork) {
std::string model = R"V0G0N(
<net name="GRUSeqNetwork" version="10">
<layers>
<layer id="0" name="0" type="Parameter" version="opset1">
<data element_type="f32" shape="10,3,512"/>
<output>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>3</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="1" name="1" type="Parameter" version="opset1">
<data element_type="f32" shape="10,1,256"/>
<output>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="3" name="3" type="Parameter" version="opset1">
<data element_type="f32" shape="10"/>
<output>
<port id="0" precision="FP32">
<dim>10</dim>
</port>
</output>
</layer>
<layer id="4" name="4" type="Parameter" version="opset1">
<data element_type="f32" shape="1,768,512"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="5" name="5" type="Parameter" version="opset1">
<data element_type="f32" shape="1,768,256"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="6" name="6" type="Parameter" version="opset1">
<data element_type="f32" shape="1,768"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>768</dim>
</port>
</output>
</layer>
<layer id="7" name="layer/LSTMSequence" type="GRUSequence" version="opset5">
<data hidden_size="256"/>
<input>
<port id="0">
<dim>10</dim>
<dim>3</dim>
<dim>512</dim>
</port>
<port id="1">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
<port id="3">
<dim>10</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>768</dim>
<dim>512</dim>
</port>
<port id="5">
<dim>1</dim>
<dim>768</dim>
<dim>256</dim>
</port>
<port id="6">
<dim>1</dim>
<dim>768</dim>
</port>
</input>
<output>
<port id="7" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>3</dim>
<dim>256</dim>
</port>
<port id="8" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="8" name="8" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>3</dim>
<dim>256</dim>
</port>
</input>
</layer>
<layer id="9" name="9" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="7" to-port="0"/>
<edge from-layer="1" from-port="0" to-layer="7" to-port="1"/>
<edge from-layer="3" from-port="0" to-layer="7" to-port="3"/>
<edge from-layer="4" from-port="0" to-layer="7" to-port="4"/>
<edge from-layer="5" from-port="0" to-layer="7" to-port="5"/>
<edge from-layer="6" from-port="0" to-layer="7" to-port="6"/>
<edge from-layer="7" from-port="7" to-layer="8" to-port="0"/>
<edge from-layer="7" from-port="8" to-layer="9" to-port="0"/>
</edges>
</net>
)V0G0N";
Blob::CPtr blob;
Core reader;
reader.ReadNetwork(model, blob);
}
TEST_F(NGraphReaderTests, RNNSeqNetwork) {
std::string model = R"V0G0N(
<net name="RNNSeqNetwork" version="10">
<layers>
<layer id="0" name="0" type="Parameter" version="opset1">
<data element_type="f32" shape="10,3,512"/>
<output>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>3</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="1" name="1" type="Parameter" version="opset1">
<data element_type="f32" shape="10,1,256"/>
<output>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="3" name="3" type="Parameter" version="opset1">
<data element_type="f32" shape="10"/>
<output>
<port id="0" precision="FP32">
<dim>10</dim>
</port>
</output>
</layer>
<layer id="4" name="4" type="Parameter" version="opset1">
<data element_type="f32" shape="1,256,512"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="5" name="5" type="Parameter" version="opset1">
<data element_type="f32" shape="1,256,256"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="6" name="6" type="Parameter" version="opset1">
<data element_type="f32" shape="1,256"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="7" name="layer/LSTMSequence" type="RNNSequence" version="opset5">
<data hidden_size="256"/>
<input>
<port id="0">
<dim>10</dim>
<dim>3</dim>
<dim>512</dim>
</port>
<port id="1">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
<port id="3">
<dim>10</dim>
</port>
<port id="4">
<dim>1</dim>
<dim>256</dim>
<dim>512</dim>
</port>
<port id="5">
<dim>1</dim>
<dim>256</dim>
<dim>256</dim>
</port>
<port id="6">
<dim>1</dim>
<dim>256</dim>
</port>
</input>
<output>
<port id="7" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>3</dim>
<dim>256</dim>
</port>
<port id="8" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
</output>
</layer>
<layer id="8" name="8" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>3</dim>
<dim>256</dim>
</port>
</input>
</layer>
<layer id="9" name="9" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>10</dim>
<dim>1</dim>
<dim>256</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="7" to-port="0"/>
<edge from-layer="1" from-port="0" to-layer="7" to-port="1"/>
<edge from-layer="3" from-port="0" to-layer="7" to-port="3"/>
<edge from-layer="4" from-port="0" to-layer="7" to-port="4"/>
<edge from-layer="5" from-port="0" to-layer="7" to-port="5"/>
<edge from-layer="6" from-port="0" to-layer="7" to-port="6"/>
<edge from-layer="7" from-port="7" to-layer="8" to-port="0"/>
<edge from-layer="7" from-port="8" to-layer="9" to-port="0"/>
</edges>
</net>
)V0G0N";
Blob::CPtr blob;
Core reader;
reader.ReadNetwork(model, blob);
}
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