Download sam1_feature_prep.xml from circulus/ovlab-sam3-ov: direct link, hf CLI and curl.
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curl -L -o sam1_feature_prep.xml https://huggingface.co/circulus/ovlab-sam3-ov/resolve/main/sam1_feature_prep.xml
9.62 kB
| <net name="Model30" version="11"> | |
| <layers> | |
| <layer id="0" name="fpn0" type="Parameter" version="opset1"> | |
| <data shape="?,256,?,?" element_type="f32" /> | |
| <output> | |
| <port id="0" precision="FP32" names="fpn0"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="1" name="fpn1" type="Parameter" version="opset1"> | |
| <data shape="?,256,?,?" element_type="f32" /> | |
| <output> | |
| <port id="0" precision="FP32" names="fpn1"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="2" name="self.no_mem_embed_compressed" type="Const" version="opset1"> | |
| <data element_type="f16" shape="1, 1, 256" offset="0" size="512" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>256</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="3" name="self.no_mem_embed" 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>256</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16" names="self.no_mem_embed"> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>256</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="4" name="self.conv_s1.weight_compressed" type="Const" version="opset1"> | |
| <data element_type="f16" shape="64, 256, 1, 1" offset="512" size="32768" /> | |
| <output> | |
| <port id="0" precision="FP16" names="self.conv_s1.weight"> | |
| <dim>64</dim> | |
| <dim>256</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="5" name="self.conv_s1.weight" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <rt_info> | |
| <attribute name="decompression" version="0" /> | |
| </rt_info> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>64</dim> | |
| <dim>256</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>64</dim> | |
| <dim>256</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="6" name="__module.conv_s1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
| <data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>64</dim> | |
| <dim>256</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>64</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="7" name="__module.conv_s1/aten::_convolution/Reshape_compressed" type="Const" version="opset1"> | |
| <data element_type="f16" shape="1, 64, 1, 1" offset="33280" 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="__module.conv_s1/aten::_convolution/Reshape" 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="__module.conv_s1/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>64</dim> | |
| <dim>-1</dim> | |
| <dim>-1</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>64</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="10" name="self.conv_s0.weight_compressed" type="Const" version="opset1"> | |
| <data element_type="f16" shape="32, 256, 1, 1" offset="33408" size="16384" /> | |
| <output> | |
| <port id="0" precision="FP16" names="self.conv_s0.weight"> | |
| <dim>32</dim> | |
| <dim>256</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="11" name="self.conv_s0.weight" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <rt_info> | |
| <attribute name="decompression" version="0" /> | |
| </rt_info> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>32</dim> | |
| <dim>256</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>32</dim> | |
| <dim>256</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="12" name="__module.conv_s0/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
| <data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>32</dim> | |
| <dim>256</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>32</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="13" name="__module.conv_s0/aten::_convolution/Reshape_compressed" type="Const" version="opset1"> | |
| <data element_type="f16" shape="1, 32, 1, 1" offset="49792" size="64" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>1</dim> | |
| <dim>32</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="14" name="__module.conv_s0/aten::_convolution/Reshape" 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>32</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>32</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="15" name="__module.conv_s0/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>32</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>32</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>32</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="16" name="Result_1813429" type="Result" version="opset1"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>32</dim> | |
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| <dim>-1</dim> | |
| </port> | |
| </input> | |
| </layer> | |
| <layer id="17" name="Result_1813428" type="Result" version="opset1"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>64</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </input> | |
| </layer> | |
| <layer id="18" name="Result_1813427" type="Result" version="opset1" output_names="self.no_mem_embed"> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>256</dim> | |
| </port> | |
| </input> | |
| </layer> | |
| </layers> | |
| <edges> | |
| <edge from-layer="0" from-port="0" to-layer="12" to-port="0" /> | |
| <edge from-layer="1" from-port="0" to-layer="6" to-port="0" /> | |
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| </edges> | |
| <rt_info> | |
| <info name="OpenVINO Runtime" value="2026.3.1-22476-759c5a6ab8c-releases/2026/3" /> | |
| <Runtime_version value="2026.3.1-22476-759c5a6ab8c-releases/2026/3" /> | |
| <conversion_parameters> | |
| <framework value="pytorch" /> | |
| <is_python_object value="True" /> | |
| </conversion_parameters> | |
| </rt_info> | |
| </net> | |