|
<?xml version="1.0" ?> |
|
<net name="torch_jit" version="11"> |
|
<layers> |
|
<layer id="0" name="onnx::Sub_0" type="Parameter" version="opset1"> |
|
<data shape="1,3,512,512" element_type="f32"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="onnx::Sub_0"/> |
|
<attribute name="old_api_map_element_type" version="0" value="f16"/> |
|
</rt_info> |
|
<output> |
|
<port id="0" precision="FP32" names="onnx::Sub_0"> |
|
<dim>1</dim> |
|
<dim>3</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="1" name="norm_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 3, 1, 1" offset="0" size="6"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>3</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="2" name="norm" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="norm"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>3</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="norm"> |
|
<dim>1</dim> |
|
<dim>3</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="3" name="Sub_0" type="Subtract" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Sub_0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>3</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>3</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="input"> |
|
<dim>1</dim> |
|
<dim>3</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="4" name="block1.convs.0.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="64, 3, 3, 3" offset="6" size="3456"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="5" name="block1.convs.0.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block1.convs.0.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block1.convs.0.weight"> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="6" name="convs.0/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.0/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>3</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="7" name="Reshape_59_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 64, 1, 1" offset="3462" size="128"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="8" name="Reshape_59" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="9" name="convs.0/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_58, Reshape_59, convs.0/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.0/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="10" name="Relu_2" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_2"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.3"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="11" name="block1.convs.1.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="64, 64, 3, 3" offset="3590" size="73728"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="12" name="block1.convs.1.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block1.convs.1.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block1.convs.1.weight"> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="13" name="convs.1/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.1/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="14" name="Reshape_108_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 64, 1, 1" offset="77318" size="128"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="15" name="Reshape_108" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="16" name="convs.1/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_107, Reshape_108, convs.1/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.1/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="17" name="Relu_4" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_4"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.7"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="18" name="MaxPool_6" type="MaxPool" version="opset8"> |
|
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="MaxPool_6"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.11"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
<port id="2" precision="I64"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="19" name="block2.convs.0.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="128, 64, 3, 3" offset="77446" size="147456"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>128</dim> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="20" name="block2.convs.0.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block2.convs.0.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>128</dim> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block2.convs.0.weight"> |
|
<dim>128</dim> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="21" name="convs.0_1/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.0_1/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>128</dim> |
|
<dim>64</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="22" name="Reshape_206_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 128, 1, 1" offset="224902" size="256"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="23" name="Reshape_206" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="24" name="convs.0_1/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_205, Reshape_206, convs.0_1/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.0_1/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="25" name="Relu_8" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_8"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.15"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="26" name="block2.convs.1.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="128, 128, 3, 3" offset="225158" size="294912"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="27" name="block2.convs.1.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block2.convs.1.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block2.convs.1.weight"> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="28" name="convs.1_1/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.1_1/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="29" name="Reshape_255_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 128, 1, 1" offset="520070" size="256"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="30" name="Reshape_255" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="31" name="convs.1_1/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_254, Reshape_255, convs.1_1/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.1_1/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="32" name="Relu_10" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_10"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.19"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="33" name="MaxPool_12" type="MaxPool" version="opset8"> |
|
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="MaxPool_12"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.23"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
<port id="2" precision="I64"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="34" name="block3.convs.0.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="256, 128, 3, 3" offset="520326" size="589824"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="35" name="block3.convs.0.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block3.convs.0.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block3.convs.0.weight"> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="36" name="convs.0_2/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.0_2/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="37" name="Reshape_353_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 256, 1, 1" offset="1110150" size="512"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="38" name="Reshape_353" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="39" name="convs.0_2/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_352, Reshape_353, convs.0_2/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.0_2/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="40" name="Relu_14" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_14"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.27"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="41" name="block3.convs.1.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="256, 256, 3, 3" offset="1110662" size="1179648"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="42" name="block3.convs.1.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block3.convs.1.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block3.convs.1.weight"> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="43" name="convs.1_2/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.1_2/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="44" name="Reshape_402_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 256, 1, 1" offset="2290310" size="512"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="45" name="Reshape_402" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="46" name="convs.1_2/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_401, Reshape_402, convs.1_2/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.1_2/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="47" name="Relu_16" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_16"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.31"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="48" name="block3.convs.2.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="256, 256, 3, 3" offset="2290822" size="1179648"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="49" name="block3.convs.2.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block3.convs.2.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block3.convs.2.weight"> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="50" name="convs.2/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.2/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="51" name="Reshape_451_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 256, 1, 1" offset="3470470" size="512"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="52" name="Reshape_451" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="53" name="convs.2/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_450, Reshape_451, convs.2/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.2/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="54" name="Relu_18" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_18"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.35"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="55" name="MaxPool_20" type="MaxPool" version="opset8"> |
|
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="MaxPool_20"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.39"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
<port id="2" precision="I64"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="56" name="block4.convs.0.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="512, 256, 3, 3" offset="3470982" size="2359296"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="57" name="block4.convs.0.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block4.convs.0.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block4.convs.0.weight"> |
|
<dim>512</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="58" name="convs.0_3/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.0_3/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>512</dim> |
|
<dim>256</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="59" name="Reshape_549_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 512, 1, 1" offset="5830278" size="1024"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="60" name="Reshape_549" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="61" name="convs.0_3/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_548, Reshape_549, convs.0_3/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.0_3/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="62" name="Relu_22" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_22"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.43"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="63" name="block4.convs.1.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="512, 512, 3, 3" offset="5831302" size="4718592"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="64" name="block4.convs.1.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block4.convs.1.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block4.convs.1.weight"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="65" name="convs.1_3/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.1_3/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="66" name="Reshape_598_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 512, 1, 1" offset="10549894" size="1024"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="67" name="Reshape_598" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="68" name="convs.1_3/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_597, Reshape_598, convs.1_3/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.1_3/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="69" name="Relu_24" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_24"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.47"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="70" name="block4.convs.2.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="512, 512, 3, 3" offset="10550918" size="4718592"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="71" name="block4.convs.2.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block4.convs.2.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block4.convs.2.weight"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="72" name="convs.2_1/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.2_1/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="73" name="Reshape_647_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 512, 1, 1" offset="15269510" size="1024"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="74" name="Reshape_647" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="75" name="convs.2_1/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_646, Reshape_647, convs.2_1/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.2_1/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="76" name="Relu_26" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_26"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.51"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="77" name="MaxPool_28" type="MaxPool" version="opset8"> |
|
<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" kernel="2, 2" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="0"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="MaxPool_28"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.55"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
<port id="2" precision="I64"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="78" name="block5.convs.0.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="512, 512, 3, 3" offset="15270534" size="4718592"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="79" name="block5.convs.0.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block5.convs.0.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block5.convs.0.weight"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="80" name="convs.0_4/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.0_4/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="81" name="Reshape_745_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 512, 1, 1" offset="19989126" size="1024"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="82" name="Reshape_745" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="83" name="convs.0_4/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_744, Reshape_745, convs.0_4/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.0_4/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="84" name="Relu_30" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_30"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.59"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="85" name="block5.convs.1.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="512, 512, 3, 3" offset="19990150" size="4718592"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="86" name="block5.convs.1.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block5.convs.1.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block5.convs.1.weight"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="87" name="convs.1_4/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.1_4/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="88" name="Reshape_794_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 512, 1, 1" offset="24708742" size="1024"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="89" name="Reshape_794" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="90" name="convs.1_4/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_793, Reshape_794, convs.1_4/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.1_4/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="91" name="Relu_32" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_32"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.63"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="92" name="block5.convs.2.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="512, 512, 3, 3" offset="24709766" size="4718592"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="93" name="block5.convs.2.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block5.convs.2.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block5.convs.2.weight"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="94" name="convs.2_2/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="convs.2_2/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
<dim>3</dim> |
|
<dim>3</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="95" name="Reshape_843_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 512, 1, 1" offset="29428358" size="1024"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="96" name="Reshape_843" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="97" name="convs.2_2/Conv" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Concat_842, Reshape_843, convs.2_2/Conv"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="convs.2_2/Conv_output_0"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="98" name="Relu_34" type="ReLU" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="Relu_34"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="input.67"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="99" name="block5.projection.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 512, 1, 1" offset="29429382" size="1024"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="100" name="block5.projection.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block5.projection.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block5.projection.weight"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="101" name="projection_4/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="projection_4/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="102" name="Reshape_892_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 1, 1, 1" offset="29430406" size="2"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="103" name="Reshape_892" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="104" name="73" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="73, Concat_891, Reshape_892"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="73"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>32</dim> |
|
<dim>32</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="106" name="block4.projection.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 512, 1, 1" offset="29430408" size="1024"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="107" name="block4.projection.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block4.projection.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block4.projection.weight"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="108" name="projection_3/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="projection_3/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="109" name="Reshape_696_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 1, 1, 1" offset="29431432" size="2"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="110" name="Reshape_696" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="111" name="65" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="65, Concat_695, Reshape_696"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="65"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="113" name="block3.projection.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 256, 1, 1" offset="29431434" size="512"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="114" name="block3.projection.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block3.projection.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block3.projection.weight"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="115" name="projection_2/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="projection_2/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="116" name="Reshape_500_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 1, 1, 1" offset="29431946" size="2"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="117" name="Reshape_500" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="118" name="57" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="57, Concat_499, Reshape_500"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="57"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="120" name="block2.projection.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 128, 1, 1" offset="29431948" size="256"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="121" name="block2.projection.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block2.projection.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block2.projection.weight"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="122" name="projection_1/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="projection_1/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="123" name="Reshape_304_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 1, 1, 1" offset="29432204" size="2"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="124" name="Reshape_304" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="125" name="49" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="49, Concat_303, Reshape_304"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="49"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="127" name="block1.projection.weight_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 64, 1, 1" offset="29432206" size="128"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="128" name="block1.projection.weight" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
<attribute name="fused_names" version="0" value="block1.projection.weight"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32" names="block1.projection.weight"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="129" name="projection/Conv/WithoutBiases" type="Convolution" version="opset1"> |
|
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="projection/Conv/WithoutBiases"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="130" name="Reshape_157_compressed" type="Const" version="opset1"> |
|
<data element_type="f16" shape="1, 1, 1, 1" offset="29432334" size="2"/> |
|
<output> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="131" name="Reshape_157" type="Convert" version="opset1"> |
|
<data destination_type="f32"/> |
|
<rt_info> |
|
<attribute name="decompression" version="0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP16"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="132" name="43" type="Add" version="opset1"> |
|
<data auto_broadcast="numpy"/> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="43, Concat_156, Reshape_157"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
<port id="1" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
</port> |
|
</input> |
|
<output> |
|
<port id="2" precision="FP32" names="43"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</output> |
|
</layer> |
|
<layer id="133" name="43/sink_port_0" type="Result" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="43/sink_port_0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>512</dim> |
|
<dim>512</dim> |
|
</port> |
|
</input> |
|
</layer> |
|
<layer id="126" name="49/sink_port_0" type="Result" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="49/sink_port_0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>256</dim> |
|
<dim>256</dim> |
|
</port> |
|
</input> |
|
</layer> |
|
<layer id="119" name="57/sink_port_0" type="Result" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="57/sink_port_0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>128</dim> |
|
<dim>128</dim> |
|
</port> |
|
</input> |
|
</layer> |
|
<layer id="112" name="65/sink_port_0" type="Result" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="65/sink_port_0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>64</dim> |
|
<dim>64</dim> |
|
</port> |
|
</input> |
|
</layer> |
|
<layer id="105" name="73/sink_port_0" type="Result" version="opset1"> |
|
<rt_info> |
|
<attribute name="fused_names" version="0" value="73/sink_port_0"/> |
|
</rt_info> |
|
<input> |
|
<port id="0" precision="FP32"> |
|
<dim>1</dim> |
|
<dim>1</dim> |
|
<dim>32</dim> |
|
<dim>32</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="2" to-port="0"/> |
|
<edge from-layer="2" from-port="1" to-layer="3" to-port="1"/> |
|
<edge from-layer="3" from-port="2" to-layer="6" to-port="0"/> |
|
<edge from-layer="4" from-port="0" to-layer="5" to-port="0"/> |
|
<edge from-layer="5" from-port="1" to-layer="6" to-port="1"/> |
|
<edge from-layer="6" from-port="2" to-layer="9" to-port="0"/> |
|
<edge from-layer="7" from-port="0" to-layer="8" to-port="0"/> |
|
<edge from-layer="8" from-port="1" to-layer="9" to-port="1"/> |
|
<edge from-layer="9" from-port="2" to-layer="10" to-port="0"/> |
|
<edge from-layer="10" from-port="1" to-layer="13" to-port="0"/> |
|
<edge from-layer="11" from-port="0" to-layer="12" to-port="0"/> |
|
<edge from-layer="12" from-port="1" to-layer="13" to-port="1"/> |
|
<edge from-layer="13" from-port="2" to-layer="16" to-port="0"/> |
|
<edge from-layer="14" from-port="0" to-layer="15" to-port="0"/> |
|
<edge from-layer="15" from-port="1" to-layer="16" to-port="1"/> |
|
<edge from-layer="16" from-port="2" to-layer="17" to-port="0"/> |
|
<edge from-layer="17" from-port="1" to-layer="18" to-port="0"/> |
|
<edge from-layer="17" from-port="1" to-layer="129" to-port="0"/> |
|
<edge from-layer="18" from-port="1" to-layer="21" to-port="0"/> |
|
<edge from-layer="19" from-port="0" to-layer="20" to-port="0"/> |
|
<edge from-layer="20" from-port="1" to-layer="21" to-port="1"/> |
|
<edge from-layer="21" from-port="2" to-layer="24" to-port="0"/> |
|
<edge from-layer="22" from-port="0" to-layer="23" to-port="0"/> |
|
<edge from-layer="23" from-port="1" to-layer="24" to-port="1"/> |
|
<edge from-layer="24" from-port="2" to-layer="25" to-port="0"/> |
|
<edge from-layer="25" from-port="1" to-layer="28" to-port="0"/> |
|
<edge from-layer="26" from-port="0" to-layer="27" to-port="0"/> |
|
<edge from-layer="27" from-port="1" to-layer="28" to-port="1"/> |
|
<edge from-layer="28" from-port="2" to-layer="31" to-port="0"/> |
|
<edge from-layer="29" from-port="0" to-layer="30" to-port="0"/> |
|
<edge from-layer="30" from-port="1" to-layer="31" to-port="1"/> |
|
<edge from-layer="31" from-port="2" to-layer="32" to-port="0"/> |
|
<edge from-layer="32" from-port="1" to-layer="33" to-port="0"/> |
|
<edge from-layer="32" from-port="1" to-layer="122" to-port="0"/> |
|
<edge from-layer="33" from-port="1" to-layer="36" to-port="0"/> |
|
<edge from-layer="34" from-port="0" to-layer="35" to-port="0"/> |
|
<edge from-layer="35" from-port="1" to-layer="36" to-port="1"/> |
|
<edge from-layer="36" from-port="2" to-layer="39" to-port="0"/> |
|
<edge from-layer="37" from-port="0" to-layer="38" to-port="0"/> |
|
<edge from-layer="38" from-port="1" to-layer="39" to-port="1"/> |
|
<edge from-layer="39" from-port="2" to-layer="40" to-port="0"/> |
|
<edge from-layer="40" from-port="1" to-layer="43" to-port="0"/> |
|
<edge from-layer="41" from-port="0" to-layer="42" to-port="0"/> |
|
<edge from-layer="42" from-port="1" to-layer="43" to-port="1"/> |
|
<edge from-layer="43" from-port="2" to-layer="46" to-port="0"/> |
|
<edge from-layer="44" from-port="0" to-layer="45" to-port="0"/> |
|
<edge from-layer="45" from-port="1" to-layer="46" to-port="1"/> |
|
<edge from-layer="46" from-port="2" to-layer="47" to-port="0"/> |
|
<edge from-layer="47" from-port="1" to-layer="50" to-port="0"/> |
|
<edge from-layer="48" from-port="0" to-layer="49" to-port="0"/> |
|
<edge from-layer="49" from-port="1" to-layer="50" to-port="1"/> |
|
<edge from-layer="50" from-port="2" to-layer="53" to-port="0"/> |
|
<edge from-layer="51" from-port="0" to-layer="52" to-port="0"/> |
|
<edge from-layer="52" from-port="1" to-layer="53" to-port="1"/> |
|
<edge from-layer="53" from-port="2" to-layer="54" to-port="0"/> |
|
<edge from-layer="54" from-port="1" to-layer="55" to-port="0"/> |
|
<edge from-layer="54" from-port="1" to-layer="115" to-port="0"/> |
|
<edge from-layer="55" from-port="1" to-layer="58" to-port="0"/> |
|
<edge from-layer="56" from-port="0" to-layer="57" to-port="0"/> |
|
<edge from-layer="57" from-port="1" to-layer="58" to-port="1"/> |
|
<edge from-layer="58" from-port="2" to-layer="61" to-port="0"/> |
|
<edge from-layer="59" from-port="0" to-layer="60" to-port="0"/> |
|
<edge from-layer="60" from-port="1" to-layer="61" to-port="1"/> |
|
<edge from-layer="61" from-port="2" to-layer="62" to-port="0"/> |
|
<edge from-layer="62" from-port="1" to-layer="65" to-port="0"/> |
|
<edge from-layer="63" from-port="0" to-layer="64" to-port="0"/> |
|
<edge from-layer="64" from-port="1" to-layer="65" to-port="1"/> |
|
<edge from-layer="65" from-port="2" to-layer="68" to-port="0"/> |
|
<edge from-layer="66" from-port="0" to-layer="67" to-port="0"/> |
|
<edge from-layer="67" from-port="1" to-layer="68" to-port="1"/> |
|
<edge from-layer="68" from-port="2" to-layer="69" to-port="0"/> |
|
<edge from-layer="69" from-port="1" to-layer="72" to-port="0"/> |
|
<edge from-layer="70" from-port="0" to-layer="71" to-port="0"/> |
|
<edge from-layer="71" from-port="1" to-layer="72" to-port="1"/> |
|
<edge from-layer="72" from-port="2" to-layer="75" to-port="0"/> |
|
<edge from-layer="73" from-port="0" to-layer="74" to-port="0"/> |
|
<edge from-layer="74" from-port="1" to-layer="75" to-port="1"/> |
|
<edge from-layer="75" from-port="2" to-layer="76" to-port="0"/> |
|
<edge from-layer="76" from-port="1" to-layer="77" to-port="0"/> |
|
<edge from-layer="76" from-port="1" to-layer="108" to-port="0"/> |
|
<edge from-layer="77" from-port="1" to-layer="80" to-port="0"/> |
|
<edge from-layer="78" from-port="0" to-layer="79" to-port="0"/> |
|
<edge from-layer="79" from-port="1" to-layer="80" to-port="1"/> |
|
<edge from-layer="80" from-port="2" to-layer="83" to-port="0"/> |
|
<edge from-layer="81" from-port="0" to-layer="82" to-port="0"/> |
|
<edge from-layer="82" from-port="1" to-layer="83" to-port="1"/> |
|
<edge from-layer="83" from-port="2" to-layer="84" to-port="0"/> |
|
<edge from-layer="84" from-port="1" to-layer="87" to-port="0"/> |
|
<edge from-layer="85" from-port="0" to-layer="86" to-port="0"/> |
|
<edge from-layer="86" from-port="1" to-layer="87" to-port="1"/> |
|
<edge from-layer="87" from-port="2" to-layer="90" to-port="0"/> |
|
<edge from-layer="88" from-port="0" to-layer="89" to-port="0"/> |
|
<edge from-layer="89" from-port="1" to-layer="90" to-port="1"/> |
|
<edge from-layer="90" from-port="2" to-layer="91" to-port="0"/> |
|
<edge from-layer="91" from-port="1" to-layer="94" to-port="0"/> |
|
<edge from-layer="92" from-port="0" to-layer="93" to-port="0"/> |
|
<edge from-layer="93" from-port="1" to-layer="94" to-port="1"/> |
|
<edge from-layer="94" from-port="2" to-layer="97" to-port="0"/> |
|
<edge from-layer="95" from-port="0" to-layer="96" to-port="0"/> |
|
<edge from-layer="96" from-port="1" to-layer="97" to-port="1"/> |
|
<edge from-layer="97" from-port="2" to-layer="98" to-port="0"/> |
|
<edge from-layer="98" from-port="1" to-layer="101" to-port="0"/> |
|
<edge from-layer="99" from-port="0" to-layer="100" to-port="0"/> |
|
<edge from-layer="100" from-port="1" to-layer="101" to-port="1"/> |
|
<edge from-layer="101" from-port="2" to-layer="104" to-port="0"/> |
|
<edge from-layer="102" from-port="0" to-layer="103" to-port="0"/> |
|
<edge from-layer="103" from-port="1" to-layer="104" to-port="1"/> |
|
<edge from-layer="104" from-port="2" to-layer="105" to-port="0"/> |
|
<edge from-layer="106" from-port="0" to-layer="107" to-port="0"/> |
|
<edge from-layer="107" from-port="1" to-layer="108" to-port="1"/> |
|
<edge from-layer="108" from-port="2" to-layer="111" to-port="0"/> |
|
<edge from-layer="109" from-port="0" to-layer="110" to-port="0"/> |
|
<edge from-layer="110" from-port="1" to-layer="111" to-port="1"/> |
|
<edge from-layer="111" from-port="2" to-layer="112" to-port="0"/> |
|
<edge from-layer="113" from-port="0" to-layer="114" to-port="0"/> |
|
<edge from-layer="114" from-port="1" to-layer="115" to-port="1"/> |
|
<edge from-layer="115" from-port="2" to-layer="118" to-port="0"/> |
|
<edge from-layer="116" from-port="0" to-layer="117" to-port="0"/> |
|
<edge from-layer="117" from-port="1" to-layer="118" to-port="1"/> |
|
<edge from-layer="118" from-port="2" to-layer="119" to-port="0"/> |
|
<edge from-layer="120" from-port="0" to-layer="121" to-port="0"/> |
|
<edge from-layer="121" from-port="1" to-layer="122" to-port="1"/> |
|
<edge from-layer="122" from-port="2" to-layer="125" to-port="0"/> |
|
<edge from-layer="123" from-port="0" to-layer="124" to-port="0"/> |
|
<edge from-layer="124" from-port="1" to-layer="125" to-port="1"/> |
|
<edge from-layer="125" from-port="2" to-layer="126" to-port="0"/> |
|
<edge from-layer="127" from-port="0" to-layer="128" to-port="0"/> |
|
<edge from-layer="128" from-port="1" to-layer="129" to-port="1"/> |
|
<edge from-layer="129" from-port="2" to-layer="132" to-port="0"/> |
|
<edge from-layer="130" from-port="0" to-layer="131" to-port="0"/> |
|
<edge from-layer="131" from-port="1" to-layer="132" to-port="1"/> |
|
<edge from-layer="132" from-port="2" to-layer="133" to-port="0"/> |
|
</edges> |
|
<meta_data> |
|
<MO_version value="2022.2.0-7713-af16ea1d79a-releases/2022/2"/> |
|
<Runtime_version value="2022.2.0-7713-af16ea1d79a-releases/2022/2"/> |
|
<legacy_path value="False"/> |
|
<cli_parameters> |
|
<caffe_parser_path value="DIR"/> |
|
<compress_fp16 value="True"/> |
|
<data_type value="FP32"/> |
|
<disable_nhwc_to_nchw value="False"/> |
|
<disable_omitting_optional value="False"/> |
|
<disable_resnet_optimization value="False"/> |
|
<disable_weights_compression value="False"/> |
|
<enable_concat_optimization value="False"/> |
|
<enable_flattening_nested_params value="False"/> |
|
<enable_ssd_gluoncv value="False"/> |
|
<extensions value="DIR"/> |
|
<framework value="onnx"/> |
|
<freeze_placeholder_with_value value="{}"/> |
|
<input_model value="DIR\hed.onnx"/> |
|
<input_model_is_text value="False"/> |
|
<k value="DIR\CustomLayersMapping.xml"/> |
|
<layout value="()"/> |
|
<layout_values value="{}"/> |
|
<legacy_mxnet_model value="False"/> |
|
<log_level value="ERROR"/> |
|
<mean_scale_values value="{}"/> |
|
<mean_values value="()"/> |
|
<model_name value="hed"/> |
|
<output_dir value="DIR"/> |
|
<placeholder_data_types value="{}"/> |
|
<progress value="False"/> |
|
<remove_memory value="False"/> |
|
<remove_output_softmax value="False"/> |
|
<reverse_input_channels value="False"/> |
|
<save_params_from_nd value="False"/> |
|
<scale_values value="()"/> |
|
<silent value="False"/> |
|
<source_layout value="()"/> |
|
<static_shape value="False"/> |
|
<stream_output value="False"/> |
|
<target_layout value="()"/> |
|
<transform value=""/> |
|
<use_legacy_frontend value="False"/> |
|
<use_new_frontend value="False"/> |
|
<unset unset_cli_parameters="batch, counts, disable_fusing, finegrain_fusing, input, input_checkpoint, input_meta_graph, input_proto, input_shape, input_symbol, mean_file, mean_file_offsets, nd_prefix_name, output, placeholder_shapes, pretrained_model_name, saved_model_dir, saved_model_tags, scale, tensorboard_logdir, tensorflow_custom_layer_libraries, tensorflow_custom_operations_config_update, tensorflow_object_detection_api_pipeline_config, tensorflow_use_custom_operations_config, transformations_config"/> |
|
</cli_parameters> |
|
</meta_data> |
|
</net> |
|
|