Upload sd_token_similarity_calculator.ipynb
Browse files- sd_token_similarity_calculator.ipynb +1228 -175
sd_token_similarity_calculator.ipynb
CHANGED
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@@ -14,7 +14,7 @@
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@@ -51,13 +51,13 @@
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@@ -96,13 +96,13 @@
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@@ -154,7 +154,7 @@
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| 1029 |
"model_module": "@jupyter-widgets/controls",
|
| 1030 |
"model_name": "DescriptionStyleModel",
|
| 1031 |
"model_module_version": "1.5.0",
|
|
@@ -1321,10 +2005,470 @@
|
|
| 1321 |
"# See this link for additional stuff to do with shelve: https://docs.python.org/3/library/shelve.html"
|
| 1322 |
],
|
| 1323 |
"metadata": {
|
| 1324 |
-
"id": "iWeFnT1gAx6A"
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| 1325 |
},
|
| 1326 |
-
"execution_count":
|
| 1327 |
-
"outputs": [
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"<ipython-input-2-f767de8bdd18>:22: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
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"[49406, 49407]\n",
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|
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"No operation\n",
|
| 2164 |
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"Calculated all cosine-similarities between the token banana with Id_A = 8922 with the the rest of the 49407 tokens as a 1x49407 tensor\n",
|
| 2165 |
+
"//---//\n",
|
| 2166 |
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"\n",
|
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|
| 2168 |
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"\n",
|
| 2169 |
+
"banana \n",
|
| 2170 |
+
"similiarity = 100.0 %\n",
|
| 2171 |
+
"--------\n",
|
| 2172 |
+
"bananas \n",
|
| 2173 |
+
"similiarity = 38.93 %\n",
|
| 2174 |
+
"--------\n",
|
| 2175 |
+
"banan-\n",
|
| 2176 |
+
"similiarity = 30.8 %\n",
|
| 2177 |
+
"--------\n",
|
| 2178 |
+
" \n",
|
| 2179 |
+
"similiarity = 27.12 %\n",
|
| 2180 |
+
"--------\n",
|
| 2181 |
+
"pineapple \n",
|
| 2182 |
+
"similiarity = 19.7 %\n",
|
| 2183 |
+
"--------\n",
|
| 2184 |
+
"chicken \n",
|
| 2185 |
+
"similiarity = 19.24 %\n",
|
| 2186 |
+
"--------\n",
|
| 2187 |
+
"potassium \n",
|
| 2188 |
+
"similiarity = 19.21 %\n",
|
| 2189 |
+
"--------\n",
|
| 2190 |
+
"sausage \n",
|
| 2191 |
+
"similiarity = 19.07 %\n",
|
| 2192 |
+
"--------\n",
|
| 2193 |
+
"lemon \n",
|
| 2194 |
+
"similiarity = 18.82 %\n",
|
| 2195 |
+
"--------\n",
|
| 2196 |
+
"orange \n",
|
| 2197 |
+
"similiarity = 18.42 %\n",
|
| 2198 |
+
"--------\n",
|
| 2199 |
+
"peanut \n",
|
| 2200 |
+
"similiarity = 17.84 %\n",
|
| 2201 |
+
"--------\n",
|
| 2202 |
+
"parachute \n",
|
| 2203 |
+
"similiarity = 17.19 %\n",
|
| 2204 |
+
"--------\n",
|
| 2205 |
+
"duck-\n",
|
| 2206 |
+
"similiarity = 16.8 %\n",
|
| 2207 |
+
"--------\n",
|
| 2208 |
+
"yellow \n",
|
| 2209 |
+
"similiarity = 16.21 %\n",
|
| 2210 |
+
"--------\n",
|
| 2211 |
+
"grape \n",
|
| 2212 |
+
"similiarity = 16.19 %\n",
|
| 2213 |
+
"--------\n",
|
| 2214 |
+
"kangaroo \n",
|
| 2215 |
+
"similiarity = 16.13 %\n",
|
| 2216 |
+
"--------\n",
|
| 2217 |
+
"apple \n",
|
| 2218 |
+
"similiarity = 16.13 %\n",
|
| 2219 |
+
"--------\n",
|
| 2220 |
+
"tangerine \n",
|
| 2221 |
+
"similiarity = 16.08 %\n",
|
| 2222 |
+
"--------\n",
|
| 2223 |
+
"giraffe \n",
|
| 2224 |
+
"similiarity = 16.04 %\n",
|
| 2225 |
+
"--------\n",
|
| 2226 |
+
"mango \n",
|
| 2227 |
+
"similiarity = 16.03 %\n",
|
| 2228 |
+
"--------\n",
|
| 2229 |
+
"rubber \n",
|
| 2230 |
+
"similiarity = 15.95 %\n",
|
| 2231 |
+
"--------\n",
|
| 2232 |
+
"bamboo \n",
|
| 2233 |
+
"similiarity = 15.88 %\n",
|
| 2234 |
+
"--------\n",
|
| 2235 |
+
"umbrella \n",
|
| 2236 |
+
"similiarity = 15.82 %\n",
|
| 2237 |
+
"--------\n",
|
| 2238 |
+
"nutella \n",
|
| 2239 |
+
"similiarity = 15.69 %\n",
|
| 2240 |
+
"--------\n",
|
| 2241 |
+
"ferrari \n",
|
| 2242 |
+
"similiarity = 15.69 %\n",
|
| 2243 |
+
"--------\n",
|
| 2244 |
+
"oranges \n",
|
| 2245 |
+
"similiarity = 15.65 %\n",
|
| 2246 |
+
"--------\n",
|
| 2247 |
+
"peanuts \n",
|
| 2248 |
+
"similiarity = 15.62 %\n",
|
| 2249 |
+
"--------\n",
|
| 2250 |
+
"ali \n",
|
| 2251 |
+
"similiarity = 15.49 %\n",
|
| 2252 |
+
"--------\n",
|
| 2253 |
+
"cucumber \n",
|
| 2254 |
+
"similiarity = 15.32 %\n",
|
| 2255 |
+
"--------\n",
|
| 2256 |
+
"potato \n",
|
| 2257 |
+
"similiarity = 15.22 %\n",
|
| 2258 |
+
"--------\n",
|
| 2259 |
+
"monkey \n",
|
| 2260 |
+
"similiarity = 15.2 %\n",
|
| 2261 |
+
"--------\n",
|
| 2262 |
+
"croissant \n",
|
| 2263 |
+
"similiarity = 15.18 %\n",
|
| 2264 |
+
"--------\n",
|
| 2265 |
+
"papaya \n",
|
| 2266 |
+
"similiarity = 15.17 %\n",
|
| 2267 |
+
"--------\n",
|
| 2268 |
+
"christmas \n",
|
| 2269 |
+
"similiarity = 15.12 %\n",
|
| 2270 |
+
"--------\n",
|
| 2271 |
+
"sandwich \n",
|
| 2272 |
+
"similiarity = 15.0 %\n",
|
| 2273 |
+
"--------\n",
|
| 2274 |
+
"rainbow \n",
|
| 2275 |
+
"similiarity = 14.98 %\n",
|
| 2276 |
+
"--------\n",
|
| 2277 |
+
"tomato \n",
|
| 2278 |
+
"similiarity = 14.96 %\n",
|
| 2279 |
+
"--------\n",
|
| 2280 |
+
"martini \n",
|
| 2281 |
+
"similiarity = 14.93 %\n",
|
| 2282 |
+
"--------\n",
|
| 2283 |
+
"cabaret \n",
|
| 2284 |
+
"similiarity = 14.83 %\n",
|
| 2285 |
+
"--------\n",
|
| 2286 |
+
"ginger \n",
|
| 2287 |
+
"similiarity = 14.82 %\n",
|
| 2288 |
+
"--------\n",
|
| 2289 |
+
"animal \n",
|
| 2290 |
+
"similiarity = 14.76 %\n",
|
| 2291 |
+
"--------\n",
|
| 2292 |
+
"vanilla \n",
|
| 2293 |
+
"similiarity = 14.73 %\n",
|
| 2294 |
+
"--------\n",
|
| 2295 |
+
"mustache \n",
|
| 2296 |
+
"similiarity = 14.64 %\n",
|
| 2297 |
+
"--------\n",
|
| 2298 |
+
"lime \n",
|
| 2299 |
+
"similiarity = 14.62 %\n",
|
| 2300 |
+
"--------\n",
|
| 2301 |
+
"sickle \n",
|
| 2302 |
+
"similiarity = 14.6 %\n",
|
| 2303 |
+
"--------\n",
|
| 2304 |
+
"vista \n",
|
| 2305 |
+
"similiarity = 14.53 %\n",
|
| 2306 |
+
"--------\n",
|
| 2307 |
+
"coconut \n",
|
| 2308 |
+
"similiarity = 14.52 %\n",
|
| 2309 |
+
"--------\n",
|
| 2310 |
+
"kara \n",
|
| 2311 |
+
"similiarity = 14.46 %\n",
|
| 2312 |
+
"--------\n",
|
| 2313 |
+
"alligator \n",
|
| 2314 |
+
"similiarity = 14.39 %\n",
|
| 2315 |
+
"--------\n",
|
| 2316 |
+
"blueberry \n",
|
| 2317 |
+
"similiarity = 14.34 %\n",
|
| 2318 |
+
"--------\n",
|
| 2319 |
+
"squirrel \n",
|
| 2320 |
+
"similiarity = 14.29 %\n",
|
| 2321 |
+
"--------\n",
|
| 2322 |
+
"atore \n",
|
| 2323 |
+
"similiarity = 14.19 %\n",
|
| 2324 |
+
"--------\n",
|
| 2325 |
+
"watermelon \n",
|
| 2326 |
+
"similiarity = 14.13 %\n",
|
| 2327 |
+
"--------\n",
|
| 2328 |
+
"nana \n",
|
| 2329 |
+
"similiarity = 14.09 %\n",
|
| 2330 |
+
"--------\n",
|
| 2331 |
+
"latex \n",
|
| 2332 |
+
"similiarity = 14.08 %\n",
|
| 2333 |
+
"--------\n",
|
| 2334 |
+
"agricultural \n",
|
| 2335 |
+
"similiarity = 14.02 %\n",
|
| 2336 |
+
"--------\n",
|
| 2337 |
+
"zucchini \n",
|
| 2338 |
+
"similiarity = 14.0 %\n",
|
| 2339 |
+
"--------\n",
|
| 2340 |
+
"saxophone \n",
|
| 2341 |
+
"similiarity = 13.93 %\n",
|
| 2342 |
+
"--------\n",
|
| 2343 |
+
"mozzarella \n",
|
| 2344 |
+
"similiarity = 13.91 %\n",
|
| 2345 |
+
"--------\n",
|
| 2346 |
+
"eggplant \n",
|
| 2347 |
+
"similiarity = 13.9 %\n",
|
| 2348 |
+
"--------\n",
|
| 2349 |
+
"pickle \n",
|
| 2350 |
+
"similiarity = 13.89 %\n",
|
| 2351 |
+
"--------\n",
|
| 2352 |
+
"tortilla \n",
|
| 2353 |
+
"similiarity = 13.88 %\n",
|
| 2354 |
+
"--------\n",
|
| 2355 |
+
"maniac \n",
|
| 2356 |
+
"similiarity = 13.84 %\n",
|
| 2357 |
+
"--------\n",
|
| 2358 |
+
"milk \n",
|
| 2359 |
+
"similiarity = 13.83 %\n",
|
| 2360 |
+
"--------\n",
|
| 2361 |
+
"cellphone \n",
|
| 2362 |
+
"similiarity = 13.78 %\n",
|
| 2363 |
+
"--------\n",
|
| 2364 |
+
"duck \n",
|
| 2365 |
+
"similiarity = 13.73 %\n",
|
| 2366 |
+
"--------\n",
|
| 2367 |
+
"umbrel-\n",
|
| 2368 |
+
"similiarity = 13.71 %\n",
|
| 2369 |
+
"--------\n",
|
| 2370 |
+
"fanny \n",
|
| 2371 |
+
"similiarity = 13.69 %\n",
|
| 2372 |
+
"--------\n",
|
| 2373 |
+
"twister \n",
|
| 2374 |
+
"similiarity = 13.67 %\n",
|
| 2375 |
+
"--------\n",
|
| 2376 |
+
"moustache \n",
|
| 2377 |
+
"similiarity = 13.66 %\n",
|
| 2378 |
+
"--------\n",
|
| 2379 |
+
"manafort \n",
|
| 2380 |
+
"similiarity = 13.66 %\n",
|
| 2381 |
+
"--------\n",
|
| 2382 |
+
"grapefruit \n",
|
| 2383 |
+
"similiarity = 13.6 %\n",
|
| 2384 |
+
"--------\n",
|
| 2385 |
+
"broom \n",
|
| 2386 |
+
"similiarity = 13.59 %\n",
|
| 2387 |
+
"--------\n",
|
| 2388 |
+
"scorpion \n",
|
| 2389 |
+
"similiarity = 13.59 %\n",
|
| 2390 |
+
"--------\n",
|
| 2391 |
+
"fruit-\n",
|
| 2392 |
+
"similiarity = 13.57 %\n",
|
| 2393 |
+
"--------\n",
|
| 2394 |
+
"agan-\n",
|
| 2395 |
+
"similiarity = 13.53 %\n",
|
| 2396 |
+
"--------\n",
|
| 2397 |
+
"sunflower \n",
|
| 2398 |
+
"similiarity = 13.49 %\n",
|
| 2399 |
+
"--------\n",
|
| 2400 |
+
"banc-\n",
|
| 2401 |
+
"similiarity = 13.46 %\n",
|
| 2402 |
+
"--------\n",
|
| 2403 |
+
"literature \n",
|
| 2404 |
+
"similiarity = 13.45 %\n",
|
| 2405 |
+
"--------\n",
|
| 2406 |
+
"pelican \n",
|
| 2407 |
+
"similiarity = 13.43 %\n",
|
| 2408 |
+
"--------\n",
|
| 2409 |
+
"breakfast \n",
|
| 2410 |
+
"similiarity = 13.42 %\n",
|
| 2411 |
+
"--------\n",
|
| 2412 |
+
"pear \n",
|
| 2413 |
+
"similiarity = 13.42 %\n",
|
| 2414 |
+
"--------\n",
|
| 2415 |
+
"orange-\n",
|
| 2416 |
+
"similiarity = 13.4 %\n",
|
| 2417 |
+
"--------\n",
|
| 2418 |
+
"monet \n",
|
| 2419 |
+
"similiarity = 13.4 %\n",
|
| 2420 |
+
"--------\n",
|
| 2421 |
+
"snake \n",
|
| 2422 |
+
"similiarity = 13.32 %\n",
|
| 2423 |
+
"--------\n",
|
| 2424 |
+
"vampire \n",
|
| 2425 |
+
"similiarity = 13.32 %\n",
|
| 2426 |
+
"--------\n",
|
| 2427 |
+
"cinnamon \n",
|
| 2428 |
+
"similiarity = 13.3 %\n",
|
| 2429 |
+
"--------\n",
|
| 2430 |
+
"strawberries \n",
|
| 2431 |
+
"similiarity = 13.29 %\n",
|
| 2432 |
+
"--------\n",
|
| 2433 |
+
"butternut \n",
|
| 2434 |
+
"similiarity = 13.22 %\n",
|
| 2435 |
+
"--------\n",
|
| 2436 |
+
"sausages \n",
|
| 2437 |
+
"similiarity = 13.22 %\n",
|
| 2438 |
+
"--------\n",
|
| 2439 |
+
"iphone \n",
|
| 2440 |
+
"similiarity = 13.21 %\n",
|
| 2441 |
+
"--------\n",
|
| 2442 |
+
"egg-\n",
|
| 2443 |
+
"similiarity = 13.2 %\n",
|
| 2444 |
+
"--------\n",
|
| 2445 |
+
"capu-\n",
|
| 2446 |
+
"similiarity = 13.2 %\n",
|
| 2447 |
+
"--------\n",
|
| 2448 |
+
"mannequin \n",
|
| 2449 |
+
"similiarity = 13.19 %\n",
|
| 2450 |
+
"--------\n",
|
| 2451 |
+
"cucumbers \n",
|
| 2452 |
+
"similiarity = 13.16 %\n",
|
| 2453 |
+
"--------\n",
|
| 2454 |
+
"champagne \n",
|
| 2455 |
+
"similiarity = 13.15 %\n",
|
| 2456 |
+
"--------\n",
|
| 2457 |
+
"triangle \n",
|
| 2458 |
+
"similiarity = 13.14 %\n",
|
| 2459 |
+
"--------\n",
|
| 2460 |
+
"apples \n",
|
| 2461 |
+
"similiarity = 13.09 %\n",
|
| 2462 |
+
"--------\n",
|
| 2463 |
+
"dynamite \n",
|
| 2464 |
+
"similiarity = 13.08 %\n",
|
| 2465 |
+
"--------\n",
|
| 2466 |
+
"chocolate \n",
|
| 2467 |
+
"similiarity = 13.08 %\n",
|
| 2468 |
+
"--------\n"
|
| 2469 |
+
]
|
| 2470 |
+
}
|
| 2471 |
+
]
|
| 2472 |
},
|
| 2473 |
{
|
| 2474 |
"cell_type": "markdown",
|
|
|
|
| 2529 |
],
|
| 2530 |
"metadata": {
|
| 2531 |
"id": "ke6mZ1RZDOeB",
|
| 2532 |
+
"outputId": "8f8c9d3f-cbda-4d9a-d126-c7f9311a74ee",
|
| 2533 |
"colab": {
|
| 2534 |
"base_uri": "https://localhost:8080/",
|
| 2535 |
"height": 1000
|
|
|
|
| 2557 |
"tokenizer = AutoTokenizer.from_pretrained(\"openai/clip-vit-large-patch14\", clean_up_tokenization_spaces = False)\n",
|
| 2558 |
"from transformers import CLIPProcessor, CLIPModel\n",
|
| 2559 |
"processor = CLIPProcessor.from_pretrained(\"openai/clip-vit-large-patch14\" , clean_up_tokenization_spaces = True)\n",
|
| 2560 |
+
"model = CLIPModel.from_pretrained(\"openai/clip-vit-large-patch14\")\n",
|
| 2561 |
"\n",
|
| 2562 |
"# Get image features\n",
|
| 2563 |
"inputs = processor(images=image_A, return_tensors=\"pt\")\n",
|
|
|
|
| 2594 |
"d.close() #close the file"
|
| 2595 |
],
|
| 2596 |
"metadata": {
|
| 2597 |
+
"id": "gaOB8rsOneIa"
|
|
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|
| 2598 |
},
|
| 2599 |
+
"execution_count": null,
|
| 2600 |
+
"outputs": []
|
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|
| 2601 |
},
|
| 2602 |
{
|
| 2603 |
"cell_type": "code",
|
|
|
|
| 2628 |
],
|
| 2629 |
"metadata": {
|
| 2630 |
"id": "eZqMUhP0qYaK",
|
| 2631 |
+
"outputId": "4801cded-e73c-4c0b-eb6e-608ed899ff49",
|
| 2632 |
"colab": {
|
| 2633 |
"base_uri": "https://localhost:8080/"
|
| 2634 |
}
|