natas_hw
/
openvino
0
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
openvino/inference-engine/tests/functional/inference_engine/ngraph_reader/dft.cpp

452 lines
14 KiB
C++
Raw Blame History

// Copyright (C) 2018-2021 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, ReadDFTNetwork) {
std::string model = R"V0G0N(
<net name="deformable_convolution" version="10">
<layers>
<layer id="0" name="in1" type="Parameter" version="opset1">
<data shape="1,180,180,2" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>180</dim>
<dim>180</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1" name="axes" type="Const" version="opset1">
<data offset="0" size="16" shape="2" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="2" name="dft" type="DFT" version="opset7">
<input>
<port id="0">
<dim>1</dim>
<dim>180</dim>
<dim>180</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>180</dim>
<dim>180</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="3" name="output" type="Result" version="opset1">
<input>
<port id="0">
<dim>1</dim>
<dim>180</dim>
<dim>180</dim>
<dim>2</dim>
</port>
</input>
</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"/>
<edge from-layer="2" from-port="2" to-layer="3" to-port="0"/>
</edges>
</net>
)V0G0N";
std::string modelV7 = R"V0G0N(
<net name="deformable_convolution" version="7">
<layers>
<layer id="0" name="in1" type="Input" version="opset1">
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>180</dim>
<dim>180</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1" name="axes" type="Const" version="opset1">
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
<blobs>
<custom offset="0" size="16" precision="I64"/>
</blobs>
</layer>
<layer id="2" name="dft" type="DFT" version="opset7">
<input>
<port id="0">
<dim>1</dim>
<dim>180</dim>
<dim>180</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>180</dim>
<dim>180</dim>
<dim>2</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 * i64w = weights->buffer().as<int64_t*>();
i64w[0] = 2;
i64w[1] = 0;
});
}
TEST_F(NGraphReaderTests, ReadDFTNetwork2) {
std::string model = R"V0G0N(
<net name="deformable_convolution" version="10">
<layers>
<layer id="0" name="in1" type="Parameter" version="opset1">
<data shape="7,50,130,400,2" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>7</dim>
<dim>50</dim>
<dim>130</dim>
<dim>400</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1" name="axes" type="Const" version="opset1">
<data offset="0" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="2" name="signal_size" type="Const" version="opset1">
<data offset="24" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="3" name="dft" type="DFT" version="opset7">
<input>
<port id="0">
<dim>7</dim>
<dim>50</dim>
<dim>130</dim>
<dim>400</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>3</dim>
</port>
<port id="2">
<dim>3</dim>
</port>
</input>
<output>
<port id="3" precision="FP32">
<dim>7</dim>
<dim>40</dim>
<dim>130</dim>
<dim>600</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="4" name="output" type="Result" version="opset1">
<input>
<port id="0">
<dim>7</dim>
<dim>40</dim>
<dim>130</dim>
<dim>600</dim>
<dim>2</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="0" 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="deformable_convolution" version="7">
<layers>
<layer id="0" name="in1" type="Input" version="opset1">
<output>
<port id="0" precision="FP32">
<dim>7</dim>
<dim>50</dim>
<dim>130</dim>
<dim>400</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1" name="axes" type="Const" version="opset1">
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
<blobs>
<custom offset="0" size="24" precision="I64"/>
</blobs>
</layer>
<layer id="2" name="signal_size" type="Const" version="opset1">
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
<blobs>
<custom offset="24" size="24" precision="I64"/>
</blobs>
</layer>
<layer id="3" name="dft" type="DFT" version="opset7">
<input>
<port id="0">
<dim>7</dim>
<dim>50</dim>
<dim>130</dim>
<dim>400</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>3</dim>
</port>
<port id="2">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>7</dim>
<dim>40</dim>
<dim>130</dim>
<dim>600</dim>
<dim>2</dim>
</port>
</output>
</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="0" to-layer="3" to-port="2"/>
</edges>
</net>
)V0G0N";
compareIRs(model, modelV7, 48, [](Blob::Ptr& weights) {
auto * i64w = weights->buffer().as<int64_t*>();
i64w[0] = 3;
i64w[1] = 0;
i64w[2] = 1;
i64w[3] = 600;
i64w[4] = -1;
i64w[5] = 40;
});
}
TEST_F(NGraphReaderTests, ReadDFTNetwork3) {
std::string model = R"V0G0N(
<net name="deformable_convolution" version="10">
<layers>
<layer id="0" name="in1" type="Parameter" version="opset1">
<data shape="7,15,200,124,70,2" element_type="f32"/>
<output>
<port id="0" precision="FP32">
<dim>7</dim>
<dim>15</dim>
<dim>200</dim>
<dim>124</dim>
<dim>70</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1" name="axes" type="Const" version="opset1">
<data offset="0" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="2" name="signal_size" type="Const" version="opset1">
<data offset="24" size="24" shape="3" element_type="i64"/>
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="3" name="dft" type="DFT" version="opset7">
<input>
<port id="0">
<dim>7</dim>
<dim>15</dim>
<dim>200</dim>
<dim>124</dim>
<dim>70</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>3</dim>
</port>
<port id="2">
<dim>3</dim>
</port>
</input>
<output>
<port id="3" precision="FP32">
<dim>7</dim>
<dim>15</dim>
<dim>100</dim>
<dim>124</dim>
<dim>280</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="4" name="output" type="Result" version="opset1">
<input>
<port id="0">
<dim>7</dim>
<dim>15</dim>
<dim>100</dim>
<dim>124</dim>
<dim>280</dim>
<dim>2</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="0" 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="deformable_convolution" version="7">
<layers>
<layer id="0" name="in1" type="Input" version="opset1">
<output>
<port id="0" precision="FP32">
<dim>7</dim>
<dim>15</dim>
<dim>200</dim>
<dim>124</dim>
<dim>70</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="1" name="axes" type="Const" version="opset1">
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
<blobs>
<custom offset="0" size="24" precision="I64"/>
</blobs>
</layer>
<layer id="2" name="signal_size" type="Const" version="opset1">
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
<blobs>
<custom offset="24" size="24" precision="I64"/>
</blobs>
</layer>
<layer id="3" name="dft" type="DFT" version="opset7">
<input>
<port id="0">
<dim>7</dim>
<dim>15</dim>
<dim>200</dim>
<dim>124</dim>
<dim>70</dim>
<dim>2</dim>
</port>
<port id="1">
<dim>3</dim>
</port>
<port id="2">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>7</dim>
<dim>15</dim>
<dim>100</dim>
<dim>124</dim>
<dim>280</dim>
<dim>2</dim>
</port>
</output>
</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="0" to-layer="3" to-port="2"/>
</edges>
</net>
)V0G0N";
compareIRs(model, modelV7, 48, [](Blob::Ptr& weights) {
auto * i64w = weights->buffer().as<int64_t*>();
i64w[0] = -3;
i64w[1] = 4;
i64w[2] = 0;
i64w[3] = 100;
i64w[4] = 280;
i64w[5] = -1;
});
}
Reference in New Issue View Git Blame Copy Permalink