frozen_model.xml

<?xml version="1.0" ?>
<net batch="1" name="frozen_model" version="6">
	<layers>
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			<output>
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					<dim>1</dim>
					<dim>3</dim>
					<dim>224</dim>
					<dim>224</dim>
				</port>
			</output>
		</layer>
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			<data auto_pad="valid" dilations="1,1" group="1" kernel="3,3" output="32" pads_begin="0,0" pads_end="0,0" strides="2,2"/>
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				<port id="0">
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					<dim>3</dim>
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					<dim>224</dim>
				</port>
			</input>
			<output>
				<port id="3">
					<dim>1</dim>
					<dim>32</dim>
					<dim>111</dim>
					<dim>111</dim>
				</port>
			</output>
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		</layer>
		<layer id="2" name="activation_1/Relu" precision="FP16" type="ReLU">
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				<port id="0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>111</dim>
					<dim>111</dim>
				</port>
			</input>
			<output>
				<port id="1">
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					<dim>32</dim>
					<dim>111</dim>
					<dim>111</dim>
				</port>
			</output>
		</layer>
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				<port id="0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>111</dim>
					<dim>111</dim>
				</port>
			</input>
			<output>
				<port id="3">
					<dim>1</dim>
					<dim>32</dim>
					<dim>109</dim>
					<dim>109</dim>
				</port>
			</output>
			<blobs>
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				<biases offset="20224" size="64"/>
			</blobs>
		</layer>
		<layer id="4" name="activation_2/Relu" precision="FP16" type="ReLU">
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				<port id="0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>109</dim>
					<dim>109</dim>
				</port>
			</input>
			<output>
				<port id="1">
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					<dim>32</dim>
					<dim>109</dim>
					<dim>109</dim>
				</port>
			</output>
		</layer>
		<layer id="5" name="conv2d_3/convolution" precision="FP16" type="Convolution">
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					<dim>32</dim>
					<dim>109</dim>
					<dim>109</dim>
				</port>
			</input>
			<output>
				<port id="3">
					<dim>1</dim>
					<dim>64</dim>
					<dim>109</dim>
					<dim>109</dim>
				</port>
			</output>
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				<biases offset="57152" size="128"/>
			</blobs>
		</layer>
		<layer id="6" name="activation_3/Relu" precision="FP16" type="ReLU">
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				<port id="0">
					<dim>1</dim>
					<dim>64</dim>
					<dim>109</dim>
					<dim>109</dim>
				</port>
			</input>
			<output>
				<port id="1">
					<dim>1</dim>
					<dim>64</dim>
					<dim>109</dim>
					<dim>109</dim>
				</port>
			</output>
		</layer>
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			</input>
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					<dim>54</dim>
					<dim>54</dim>
				</port>
			</output>
		</layer>
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					<dim>54</dim>
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			</input>
			<output>
				<port id="3">
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					<dim>54</dim>
				</port>
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				<port id="1">
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			</output>
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			</input>
			<output>
				<port id="3">
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					<dim>192</dim>
					<dim>52</dim>
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				</port>
			</output>
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				<biases offset="344160" size="384"/>
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		</layer>
		<layer id="11" name="activation_5/Relu" precision="FP16" type="ReLU">
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				<port id="0">
					<dim>1</dim>
					<dim>192</dim>
					<dim>52</dim>
					<dim>52</dim>
				</port>
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			<output>
				<port id="1">
					<dim>1</dim>
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					<dim>52</dim>
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				</port>
			</output>
		</layer>
		<layer id="12" name="max_pooling2d_2/MaxPool" precision="FP16" type="Pooling">
			<data auto_pad="valid" exclude-pad="true" kernel="3,3" pads_begin="0,0" pads_end="0,0" pool-method="max" strides="2,2"/>
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				<port id="0">
					<dim>1</dim>
					<dim>192</dim>
					<dim>52</dim>
					<dim>52</dim>
				</port>
			</input>
			<output>
				<port id="1">
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					<dim>192</dim>
					<dim>25</dim>
					<dim>25</dim>
				</port>
			</output>
		</layer>
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					<dim>25</dim>
					<dim>25</dim>
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			<output>
				<port id="3">
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					<dim>25</dim>
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			<output>
				<port id="1">
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			<data axis="1"/>
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					<dim>25</dim>
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	<meta_data>
		<MO_version value="2019.3.0-375-g332562022"/>
		<cli_parameters>
			<blobs_as_inputs value="False"/>
			<data_type value="FP16"/>
			<disable_nhwc_to_nchw value="False"/>
			<disable_resnet_optimization value="False"/>
			<enable_concat_optimization value="False"/>
			<extensions value="DIR"/>
			<framework value="tf"/>
			<freeze_placeholder_with_value value="{}"/>
			<generate_experimental_IR_V10 value="False"/>
			<input_model value="DIR\frozen_model.pb"/>
			<input_model_is_text value="False"/>
			<input_shape value="[1, 224, 224, 3]"/>
			<keep_quantize_ops_in_IR value="False"/>
			<keep_shape_ops value="False"/>
			<log_level value="ERROR"/>
			<mean_scale_values value="{}"/>
			<mean_values value="()"/>
			<move_to_preprocess value="False"/>
			<output_dir value="DIR"/>
			<placeholder_shapes value="[  1 224 224   3]"/>
			<reverse_input_channels value="False"/>
			<scale_values value="()"/>
			<silent value="False"/>
			<steps value="False"/>
			<version value="False"/>
			<unset unset_cli_parameters="batch, disable_fusing, disable_gfusing, finegrain_fusing, generate_deprecated_IR_V2, input, input_checkpoint, input_meta_graph, model_name, output, 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_operation_patterns, tensorflow_subgraph_patterns, tensorflow_use_custom_operations_config"/>
		</cli_parameters>
	</meta_data>
</net>