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openvino/inference-engine/tests/functional/inference_engine/ngraph_reader/gather_tests.cpp
Bartek Szmelczynski 8e01022252 Visitor API deserialization - create models for ops (#2889)
* add tests for 11 operators, which compare V7 and V10 version of the model optimizer

* add test for space_to_depth model
2020-11-02 13:48:53 +03:00

122 lines
3.0 KiB
C++

// Copyright (C) 2018-2020 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <string>
#include "ngraph_reader_tests.hpp"
TEST_F(NGraphReaderTests, ReadGatherNetwork) {
std::string model = R"V0G0N(
<net name="saved_model" version="10">
<layers>
<layer id="0" name="input_a" type="Parameter" version="opset1">
<data shape="1,3,4" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="1" name="input_b" type="Parameter" version="opset1">
<data shape="1" element_type="i32"/>
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="2" name="PartitionedCall/functional_1/tf_op_layer_GatherV2/GatherV2/Cast_292_const" type="Const" version="opset1">
<data offset="0" size="8" shape="" element_type="i64"/>
<output>
<port id="1" precision="I64"/>
</output>
</layer>
<layer id="3" name="PartitionedCall/functional_1/tf_op_layer_GatherV2/GatherV2" type="Gather" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>4</dim>
</port>
<port id="1">
<dim>1</dim>
</port>
<port id="2"/>
</input>
<output>
<port id="3" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="4" name="Identity/sink_port_0" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>4</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="3" to-port="0"/>
<edge from-layer="1" from-port="0" to-layer="3" to-port="1"/>
<edge from-layer="2" from-port="1" to-layer="3" to-port="2"/>
<edge from-layer="3" from-port="3" to-layer="4" to-port="0"/>
</edges>
</net>
)V0G0N";
std::string modelV7 = R"V0G0N(
<net name="saved_model" version="7">
<layers>
<layer id="0" name="input_a" type="Input" version="opset1">
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="1" name="input_b" type="Input" version="opset1">
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="2" name="PartitionedCall/functional_1/tf_op_layer_GatherV2/GatherV2" type="Gather">
<data axis="0"/>
<input>
<port id="0">
<dim>1</dim>
<dim>3</dim>
<dim>4</dim>
</port>
<port id="1">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>4</dim>
</port>
</output>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="2" to-port="0"/>
<edge from-layer="1" from-port="0" to-layer="2" to-port="1"/>
</edges>
</net>
)V0G0N";
compareIRs(model, modelV7, 16, [](Blob::Ptr& weights) {
auto* buffer = weights->buffer().as<int64_t*>();
buffer[0] = 0;
});
}