diff --git "a/efficientnet_b2.xml" "b/efficientnet_b2.xml"
new file mode 100644--- /dev/null
+++ "b/efficientnet_b2.xml"
@@ -0,0 +1,17933 @@
+<?xml version="1.0"?>
+<net name="Model1299" version="11">
+	<layers>
+		<layer id="0" name="x" type="Parameter" version="opset1">
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+			<output>
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+					<dim>1</dim>
+					<dim>3</dim>
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+					<dim>260</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Multiply_627282_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="32, 3, 3, 3" offset="0" size="1728" />
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+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="2" name="Multiply_627282" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="3" name="Multiply_626797" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
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+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
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+		</layer>
+		<layer id="6" name="__module.features.0.1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
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+			<output>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="7" name="__module.features.0.2/aten::silu_/Swish" type="Swish" version="opset4">
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+					<dim>130</dim>
+					<dim>130</dim>
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+					<dim>130</dim>
+					<dim>130</dim>
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+		</layer>
+		<layer id="8" name="Multiply_627286_compressed" type="Const" version="opset1">
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+				<port id="0" precision="FP16">
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+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="9" name="Multiply_627286" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+					<dim>3</dim>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>32</dim>
+					<dim>1</dim>
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+					<dim>3</dim>
+					<dim>3</dim>
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+		</layer>
+		<layer id="10" name="Multiply_626804" type="GroupConvolution" version="opset1">
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+					<dim>3</dim>
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+		<layer id="11" name="Constant_626809_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 32, 1, 1" offset="2368" size="64" />
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+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="12" name="Constant_626809" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>32</dim>
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+					<dim>1</dim>
+					<dim>32</dim>
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+			</output>
+		</layer>
+		<layer id="13" name="__module.features.1.0.block.0.1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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lumbermill magnetic_compass mailbag mailbox maillot maillot_tank_suit manhole_cover maraca marimba mask matchstick maypole maze measuring_cup medicine_chest megalith microphone microwave military_uniform milk_can minibus miniskirt minivan missile mitten mixing_bowl mobile_home Model_T modem monastery monitor moped mortar mortarboard mosque mosquito_net motor_scooter mountain_bike mountain_tent mouse mousetrap moving_van muzzle nail neck_brace necklace nipple notebook obelisk oboe ocarina odometer oil_filter organ oscilloscope overskirt oxcart oxygen_mask packet paddle paddlewheel padlock paintbrush pajama palace panpipe paper_towel parachute parallel_bars park_bench parking_meter passenger_car patio pay-phone pedestal pencil_box pencil_sharpener perfume Petri_dish photocopier pick pickelhaube picket_fence pickup pier piggy_bank pill_bottle pillow ping-pong_ball pinwheel pirate pitcher plane planetarium plastic_bag plate_rack plow plunger Polaroid_camera pole police_van poncho pool_table pop_bottle pot potter's_wheel power_drill prayer_rug printer prison projectile projector puck punching_bag purse quill quilt racer racket radiator radio radio_telescope rain_barrel recreational_vehicle reel reflex_camera refrigerator remote_control restaurant revolver rifle rocking_chair rotisserie rubber_eraser rugby_ball rule running_shoe safe safety_pin saltshaker sandal sarong sax scabbard scale school_bus schooner scoreboard screen screw screwdriver seat_belt sewing_machine shield shoe_shop shoji shopping_basket shopping_cart shovel shower_cap shower_curtain ski ski_mask sleeping_bag slide_rule sliding_door slot snorkel snowmobile snowplow soap_dispenser soccer_ball sock solar_dish sombrero soup_bowl space_bar space_heater space_shuttle spatula speedboat spider_web spindle sports_car spotlight stage steam_locomotive steel_arch_bridge steel_drum stethoscope stole stone_wall stopwatch stove strainer streetcar stretcher studio_couch stupa submarine suit sundial sunglass sunglasses sunscreen suspension_bridge swab sweatshirt swimming_trunks swing switch syringe table_lamp tank tape_player teapot teddy television tennis_ball thatch theater_curtain thimble thresher throne tile_roof toaster tobacco_shop toilet_seat torch totem_pole tow_truck toyshop tractor trailer_truck tray trench_coat tricycle trimaran tripod triumphal_arch trolleybus trombone tub turnstile typewriter_keyboard umbrella unicycle upright vacuum vase vault velvet vending_machine vestment viaduct violin volleyball waffle_iron wall_clock wallet wardrobe warplane washbasin washer water_bottle water_jug water_tower whiskey_jug whistle wig window_screen window_shade Windsor_tie wine_bottle wing wok wooden_spoon wool worm_fence wreck yawl yurt web_site comic_book crossword_puzzle street_sign traffic_light book_jacket menu plate guacamole consomme hot_pot trifle ice_cream ice_lolly French_loaf bagel pretzel cheeseburger hotdog mashed_potato head_cabbage broccoli cauliflower zucchini spaghetti_squash acorn_squash butternut_squash cucumber artichoke bell_pepper cardoon mushroom Granny_Smith strawberry orange lemon fig pineapple banana jackfruit custard_apple pomegranate hay carbonara chocolate_sauce dough meat_loaf pizza potpie burrito red_wine espresso cup eggnog alp bubble cliff coral_reef geyser lakeside promontory sandbar seashore valley volcano ballplayer groom scuba_diver rapeseed daisy yellow_lady's_slipper corn acorn hip buckeye coral_fungus agaric gyromitra stinkhorn earthstar hen-of-the-woods bolete ear toilet_tissue" />
+			<mean_values value="123.675 116.28 103.53" />
+			<model_short_name value="efficientnet_b2" />
+			<model_type value="Classification" />
+			<reverse_input_channels value="True" />
+			<scale_values value="58.395 57.12 57.375" />
+		</model_info>
+	</rt_info>
+</net>