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| 1 | +<?xml version="1.0"?> |
| 2 | +<net name="main_graph" version="11"> |
| 3 | + <layers> |
| 4 | + <layer id="0" name="onnx::Reshape_0" type="Parameter" version="opset1"> |
| 5 | + <data shape="1,100,100,3" element_type="f32" /> |
| 6 | + <rt_info> |
| 7 | + <attribute name="old_api_map_element_type" version="0" value="f16" /> |
| 8 | + </rt_info> |
| 9 | + <output> |
| 10 | + <port id="0" precision="FP32" names="onnx::Reshape_0"> |
| 11 | + <dim>1</dim> |
| 12 | + <dim>100</dim> |
| 13 | + <dim>100</dim> |
| 14 | + <dim>3</dim> |
| 15 | + </port> |
| 16 | + </output> |
| 17 | + </layer> |
| 18 | + <layer id="1" name="/Constant" type="Const" version="opset1"> |
| 19 | + <data element_type="i64" shape="2" offset="0" size="16" /> |
| 20 | + <rt_info> |
| 21 | + <attribute name="precise" version="0" /> |
| 22 | + </rt_info> |
| 23 | + <output> |
| 24 | + <port id="0" precision="I64" names="/Constant_output_0"> |
| 25 | + <dim>2</dim> |
| 26 | + </port> |
| 27 | + </output> |
| 28 | + </layer> |
| 29 | + <layer id="2" name="/Reshape" type="Reshape" version="opset1"> |
| 30 | + <data special_zero="true" /> |
| 31 | + <input> |
| 32 | + <port id="0" precision="FP32"> |
| 33 | + <dim>1</dim> |
| 34 | + <dim>100</dim> |
| 35 | + <dim>100</dim> |
| 36 | + <dim>3</dim> |
| 37 | + </port> |
| 38 | + <port id="1" precision="I64"> |
| 39 | + <dim>2</dim> |
| 40 | + </port> |
| 41 | + </input> |
| 42 | + <output> |
| 43 | + <port id="2" precision="FP32" names="/Reshape_output_0"> |
| 44 | + <dim>30000</dim> |
| 45 | + <dim>1</dim> |
| 46 | + </port> |
| 47 | + </output> |
| 48 | + </layer> |
| 49 | + <layer id="3" name="/conv1d/Constant" type="Const" version="opset1"> |
| 50 | + <data element_type="i64" shape="1" offset="16" size="8" /> |
| 51 | + <output> |
| 52 | + <port id="0" precision="I64" names="/conv1d/Constant_output_0"> |
| 53 | + <dim>1</dim> |
| 54 | + </port> |
| 55 | + </output> |
| 56 | + </layer> |
| 57 | + <layer id="4" name="/conv1d/Unsqueeze" type="Unsqueeze" version="opset1"> |
| 58 | + <input> |
| 59 | + <port id="0" precision="FP32"> |
| 60 | + <dim>30000</dim> |
| 61 | + <dim>1</dim> |
| 62 | + </port> |
| 63 | + <port id="1" precision="I64"> |
| 64 | + <dim>1</dim> |
| 65 | + </port> |
| 66 | + </input> |
| 67 | + <output> |
| 68 | + <port id="2" precision="FP32" names="/conv1d/Unsqueeze_output_0"> |
| 69 | + <dim>1</dim> |
| 70 | + <dim>30000</dim> |
| 71 | + <dim>1</dim> |
| 72 | + </port> |
| 73 | + </output> |
| 74 | + </layer> |
| 75 | + <layer id="5" name="Reshape_15_compressed" type="Const" version="opset1"> |
| 76 | + <data element_type="f16" shape="30000, 1, 1, 1" offset="24" size="60000" /> |
| 77 | + <output> |
| 78 | + <port id="0" precision="FP16"> |
| 79 | + <dim>30000</dim> |
| 80 | + <dim>1</dim> |
| 81 | + <dim>1</dim> |
| 82 | + <dim>1</dim> |
| 83 | + </port> |
| 84 | + </output> |
| 85 | + </layer> |
| 86 | + <layer id="6" name="Reshape_15" type="Convert" version="opset1"> |
| 87 | + <data destination_type="f32" /> |
| 88 | + <rt_info> |
| 89 | + <attribute name="decompression" version="0" /> |
| 90 | + </rt_info> |
| 91 | + <input> |
| 92 | + <port id="0" precision="FP16"> |
| 93 | + <dim>30000</dim> |
| 94 | + <dim>1</dim> |
| 95 | + <dim>1</dim> |
| 96 | + <dim>1</dim> |
| 97 | + </port> |
| 98 | + </input> |
| 99 | + <output> |
| 100 | + <port id="1" precision="FP32"> |
| 101 | + <dim>30000</dim> |
| 102 | + <dim>1</dim> |
| 103 | + <dim>1</dim> |
| 104 | + <dim>1</dim> |
| 105 | + </port> |
| 106 | + </output> |
| 107 | + </layer> |
| 108 | + <layer id="7" name="/conv1d/Conv/WithoutBiases" type="GroupConvolution" version="opset1"> |
| 109 | + <data strides="1" pads_begin="0" pads_end="0" dilations="1" auto_pad="explicit" /> |
| 110 | + <input> |
| 111 | + <port id="0" precision="FP32"> |
| 112 | + <dim>1</dim> |
| 113 | + <dim>30000</dim> |
| 114 | + <dim>1</dim> |
| 115 | + </port> |
| 116 | + <port id="1" precision="FP32"> |
| 117 | + <dim>30000</dim> |
| 118 | + <dim>1</dim> |
| 119 | + <dim>1</dim> |
| 120 | + <dim>1</dim> |
| 121 | + </port> |
| 122 | + </input> |
| 123 | + <output> |
| 124 | + <port id="2" precision="FP32" names="/conv1d/Conv_output_0"> |
| 125 | + <dim>1</dim> |
| 126 | + <dim>30000</dim> |
| 127 | + <dim>1</dim> |
| 128 | + </port> |
| 129 | + </output> |
| 130 | + </layer> |
| 131 | + <layer id="8" name="/conv1d/Constant_1" type="Const" version="opset1"> |
| 132 | + <data element_type="i64" shape="1" offset="16" size="8" /> |
| 133 | + <output> |
| 134 | + <port id="0" precision="I64" names="/conv1d/Constant_1_output_0"> |
| 135 | + <dim>1</dim> |
| 136 | + </port> |
| 137 | + </output> |
| 138 | + </layer> |
| 139 | + <layer id="9" name="9" type="Squeeze" version="opset1"> |
| 140 | + <input> |
| 141 | + <port id="0" precision="FP32"> |
| 142 | + <dim>1</dim> |
| 143 | + <dim>30000</dim> |
| 144 | + <dim>1</dim> |
| 145 | + </port> |
| 146 | + <port id="1" precision="I64"> |
| 147 | + <dim>1</dim> |
| 148 | + </port> |
| 149 | + </input> |
| 150 | + <output> |
| 151 | + <port id="2" precision="FP32" names="output"> |
| 152 | + <dim>30000</dim> |
| 153 | + <dim>1</dim> |
| 154 | + </port> |
| 155 | + </output> |
| 156 | + </layer> |
| 157 | + <layer id="10" name="9/sink_port_0" type="Result" version="opset1"> |
| 158 | + <input> |
| 159 | + <port id="0" precision="FP32"> |
| 160 | + <dim>30000</dim> |
| 161 | + <dim>1</dim> |
| 162 | + </port> |
| 163 | + </input> |
| 164 | + </layer> |
| 165 | + </layers> |
| 166 | + <edges> |
| 167 | + <edge from-layer="0" from-port="0" to-layer="2" to-port="0" /> |
| 168 | + <edge from-layer="1" from-port="0" to-layer="2" to-port="1" /> |
| 169 | + <edge from-layer="2" from-port="2" to-layer="4" to-port="0" /> |
| 170 | + <edge from-layer="3" from-port="0" to-layer="4" to-port="1" /> |
| 171 | + <edge from-layer="4" from-port="2" to-layer="7" to-port="0" /> |
| 172 | + <edge from-layer="5" from-port="0" to-layer="6" to-port="0" /> |
| 173 | + <edge from-layer="6" from-port="1" to-layer="7" to-port="1" /> |
| 174 | + <edge from-layer="7" from-port="2" to-layer="9" to-port="0" /> |
| 175 | + <edge from-layer="8" from-port="0" to-layer="9" to-port="1" /> |
| 176 | + <edge from-layer="9" from-port="2" to-layer="10" to-port="0" /> |
| 177 | + </edges> |
| 178 | + <rt_info> |
| 179 | + <Runtime_version value="2023.2.0-13089-cfd42bd2cb0-HEAD" /> |
| 180 | + <conversion_parameters> |
| 181 | + <is_python_object value="False" /> |
| 182 | + <output_model value="test_net.xml" /> |
| 183 | + </conversion_parameters> |
| 184 | + </rt_info> |
| 185 | +</net> |
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