diff --git "a/efficientnet_b4.xml" "b/efficientnet_b4.xml"
new file mode 100644--- /dev/null
+++ "b/efficientnet_b4.xml"
@@ -0,0 +1,24917 @@
+<?xml version="1.0"?>
+<net name="Model2922" version="11">
+	<layers>
+		<layer id="0" name="x" type="Parameter" version="opset1">
+			<data shape="1,3,380,380" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="image">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>380</dim>
+					<dim>380</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Multiply_1377013_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 3, 3, 3" offset="0" size="2592" />
+			<output>
+				<port id="0" precision="FP16">
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+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Multiply_1377013" 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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+			</input>
+			<output>
+				<port id="1" precision="FP32">
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+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Multiply_1376339" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>3</dim>
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+				<port id="1" precision="FP32">
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+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
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+					<dim>48</dim>
+					<dim>190</dim>
+					<dim>190</dim>
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+			</output>
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+			</output>
+		</layer>
+		<layer id="5" name="Constant_1376344" 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>48</dim>
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+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
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+					<dim>48</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="6" name="__module.features.0.1/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
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+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>190</dim>
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+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="50_1">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>190</dim>
+					<dim>190</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="__module.features.0.2/aten::silu_/Swish" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>48</dim>
+					<dim>190</dim>
+					<dim>190</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="50,input.3">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>190</dim>
+					<dim>190</dim>
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+			</output>
+		</layer>
+		<layer id="8" name="Multiply_1377017_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="48, 1, 1, 3, 3" offset="2688" size="864" />
+			<output>
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Multiply_1377017" 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>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="Multiply_1376346" type="GroupConvolution" version="opset1">
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="66,input.7">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>190</dim>
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+			</output>
+		</layer>
+		<layer id="11" name="Constant_1376351_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 48, 1, 1" offset="3552" size="96" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="12" name="Constant_1376351" 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>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</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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+					<dim>1</dim>
+					<dim>48</dim>
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+		<layer id="15" name="Constant_1369528" type="Const" version="opset1">
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+		</layer>
+		<layer id="16" name="__module.features.1.0.block.1.avgpool/aten::adaptive_avg_pool2d/AdaptiveAvgPool" type="ReduceMean" version="opset1">
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+		<layer id="19" name="__module.features.1.0.block.1.fc1/aten::_convolution/Convolution" type="Convolution" version="opset1">
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+	<rt_info>
+		<Runtime_version value="2026.1.0-21367-63e31528c62-releases/2026/1" />
+		<conversion_parameters>
+			<framework value="pytorch" />
+			<is_python_object value="True" />
+		</conversion_parameters>
+		<model_info>
+			<labels value="tench goldfish great_white_shark tiger_shark hammerhead electric_ray stingray cock hen ostrich brambling goldfinch house_finch junco indigo_bunting robin bulbul jay magpie chickadee water_ouzel kite bald_eagle vulture great_grey_owl European_fire_salamander common_newt eft spotted_salamander axolotl bullfrog tree_frog tailed_frog loggerhead leatherback_turtle mud_turtle terrapin box_turtle banded_gecko common_iguana American_chameleon whiptail agama frilled_lizard alligator_lizard Gila_monster green_lizard African_chameleon Komodo_dragon African_crocodile American_alligator triceratops thunder_snake ringneck_snake hognose_snake green_snake king_snake garter_snake water_snake vine_snake night_snake boa_constrictor rock_python Indian_cobra green_mamba sea_snake horned_viper diamondback sidewinder trilobite harvestman scorpion black_and_gold_garden_spider barn_spider garden_spider black_widow tarantula wolf_spider tick centipede black_grouse ptarmigan ruffed_grouse prairie_chicken peacock quail partridge African_grey macaw sulphur-crested_cockatoo lorikeet coucal bee_eater hornbill hummingbird jacamar toucan drake red-breasted_merganser goose black_swan tusker echidna platypus wallaby koala wombat jellyfish sea_anemone brain_coral flatworm nematode conch snail slug sea_slug chiton chambered_nautilus Dungeness_crab rock_crab fiddler_crab king_crab American_lobster spiny_lobster crayfish hermit_crab isopod white_stork black_stork spoonbill flamingo little_blue_heron American_egret bittern crane_bird limpkin European_gallinule American_coot bustard ruddy_turnstone red-backed_sandpiper redshank dowitcher oystercatcher pelican king_penguin albatross grey_whale killer_whale dugong sea_lion Chihuahua Japanese_spaniel Maltese_dog Pekinese Shih-Tzu Blenheim_spaniel papillon toy_terrier Rhodesian_ridgeback Afghan_hound basset beagle bloodhound bluetick black-and-tan_coonhound Walker_hound English_foxhound redbone borzoi Irish_wolfhound Italian_greyhound whippet Ibizan_hound Norwegian_elkhound otterhound Saluki Scottish_deerhound Weimaraner Staffordshire_bullterrier American_Staffordshire_terrier Bedlington_terrier Border_terrier Kerry_blue_terrier Irish_terrier Norfolk_terrier Norwich_terrier Yorkshire_terrier wire-haired_fox_terrier Lakeland_terrier Sealyham_terrier Airedale cairn Australian_terrier Dandie_Dinmont Boston_bull miniature_schnauzer giant_schnauzer standard_schnauzer Scotch_terrier Tibetan_terrier silky_terrier soft-coated_wheaten_terrier West_Highland_white_terrier Lhasa flat-coated_retriever curly-coated_retriever golden_retriever Labrador_retriever Chesapeake_Bay_retriever German_short-haired_pointer vizsla English_setter Irish_setter Gordon_setter Brittany_spaniel clumber English_springer Welsh_springer_spaniel cocker_spaniel Sussex_spaniel Irish_water_spaniel kuvasz schipperke groenendael malinois briard kelpie komondor Old_English_sheepdog Shetland_sheepdog collie Border_collie Bouvier_des_Flandres Rottweiler German_shepherd Doberman miniature_pinscher Greater_Swiss_Mountain_dog Bernese_mountain_dog Appenzeller EntleBucher boxer bull_mastiff Tibetan_mastiff French_bulldog Great_Dane Saint_Bernard Eskimo_dog malamute Siberian_husky dalmatian affenpinscher basenji pug Leonberg Newfoundland Great_Pyrenees Samoyed Pomeranian chow keeshond Brabancon_griffon Pembroke Cardigan toy_poodle miniature_poodle standard_poodle Mexican_hairless timber_wolf white_wolf red_wolf coyote dingo dhole African_hunting_dog hyena red_fox kit_fox Arctic_fox grey_fox tabby tiger_cat Persian_cat Siamese_cat Egyptian_cat cougar lynx leopard snow_leopard jaguar lion tiger cheetah brown_bear American_black_bear ice_bear sloth_bear mongoose meerkat tiger_beetle ladybug ground_beetle long-horned_beetle leaf_beetle dung_beetle rhinoceros_beetle weevil fly bee ant grasshopper cricket walking_stick cockroach mantis cicada leafhopper lacewing dragonfly damselfly admiral ringlet monarch cabbage_butterfly sulphur_butterfly lycaenid starfish sea_urchin sea_cucumber wood_rabbit hare Angora hamster porcupine fox_squirrel marmot beaver guinea_pig sorrel zebra hog wild_boar warthog hippopotamus ox water_buffalo bison ram bighorn ibex hartebeest impala gazelle Arabian_camel llama weasel mink polecat black-footed_ferret otter skunk badger armadillo three-toed_sloth orangutan gorilla chimpanzee gibbon siamang guenon patas baboon macaque langur colobus proboscis_monkey marmoset capuchin howler_monkey titi spider_monkey squirrel_monkey Madagascar_cat indri Indian_elephant African_elephant lesser_panda giant_panda barracouta eel coho rock_beauty anemone_fish sturgeon gar lionfish puffer abacus abaya academic_gown accordion acoustic_guitar aircraft_carrier airliner airship altar ambulance amphibian analog_clock apiary apron ashcan assault_rifle backpack bakery balance_beam balloon ballpoint Band_Aid banjo bannister barbell barber_chair barbershop barn barometer barrel barrow baseball basketball bassinet bassoon bathing_cap bath_towel bathtub beach_wagon beacon beaker bearskin beer_bottle beer_glass bell_cote bib bicycle-built-for-two bikini binder binoculars birdhouse boathouse bobsled bolo_tie bonnet bookcase bookshop bottlecap bow bow_tie brass brassiere breakwater breastplate broom bucket buckle bulletproof_vest bullet_train butcher_shop cab caldron candle cannon canoe can_opener cardigan car_mirror carousel carpenter's_kit carton car_wheel cash_machine cassette cassette_player castle catamaran CD_player cello cellular_telephone chain chainlink_fence chain_mail chain_saw chest chiffonier chime china_cabinet Christmas_stocking church cinema cleaver cliff_dwelling cloak clog cocktail_shaker coffee_mug coffeepot coil combination_lock computer_keyboard confectionery container_ship convertible corkscrew cornet cowboy_boot cowboy_hat cradle crane crash_helmet crate crib Crock_Pot croquet_ball crutch cuirass dam desk desktop_computer dial_telephone diaper digital_clock digital_watch dining_table dishrag dishwasher disk_brake dock dogsled dome doormat drilling_platform drum drumstick dumbbell Dutch_oven electric_fan electric_guitar electric_locomotive entertainment_center envelope espresso_maker face_powder feather_boa file fireboat fire_engine fire_screen flagpole flute folding_chair football_helmet forklift fountain fountain_pen four-poster freight_car French_horn frying_pan fur_coat garbage_truck gasmask gas_pump goblet go-kart golf_ball golfcart gondola gong gown grand_piano greenhouse grille grocery_store guillotine hair_slide hair_spray half_track hammer hamper hand_blower hand-held_computer handkerchief hard_disc harmonica harp harvester hatchet holster home_theater honeycomb hook hoopskirt horizontal_bar horse_cart hourglass iPod iron jack-o'-lantern jean jeep jersey jigsaw_puzzle jinrikisha joystick kimono knee_pad knot lab_coat ladle lampshade laptop lawn_mower lens_cap letter_opener library lifeboat lighter limousine liner lipstick Loafer lotion loudspeaker loupe 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_b4" />
+			<model_type value="Classification" />
+			<reverse_input_channels value="True" />
+			<scale_values value="58.395 57.12 57.375" />
+		</model_info>
+	</rt_info>
+</net>