Upload sd_token_similarity_calculator.ipynb

Google Colab Notebooks/sd_token_similarity_calculator.ipynb

@@ -2882,10 +2882,10 @@
       ],
       "metadata": {
         "id": "rUXQ73IbonHY",
-        "outputId": "0be95ebc-c6b0-4141-d299-d1e33c7a2e00",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "outputId": "0be95ebc-c6b0-4141-d299-d1e33c7a2e00"
       },
       "execution_count": 1,
       "outputs": [
@@ -3033,10 +3033,10 @@
       ],
       "metadata": {
         "id": "ZMG4CThUAmwW",
-        "outputId": "d5ec8719-a0d7-4bff-f87c-379fed3a5d20",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "outputId": "d5ec8719-a0d7-4bff-f87c-379fed3a5d20"
       },
       "execution_count": 2,
       "outputs": [
@@ -3857,18 +3857,17 @@
         "  text_features =  text_encodings[f'{index}']\n",
         "\n",
         "  torch.matmul(text_features, image_features.t()) * logit_scale\n",
-        "  sims[index]  = torch.dot(text_features, image_features)\n",
+        "  sims[index]  = torch.nn.functional.cosine_similarity(text_features, image_features)\n",
         "  if name_NEG != '':\n",
         "    torch.matmul(text_features_NEG, image_features.t()) * logit_scale\n",
-        "    sims[index] = sims[index] - neg_strength* torch.dot(text_features_NEG, image_features)\n",
+        "    sims[index] = sims[index] - neg_strength* torch.nn.functional.cosine_similarity(text_features_NEG, image_features)\n",
         "  if image_NEG != '':\n",
-        "    sims[index] = sims[index] - neg_strength* torch.dot(image_features, image_features_NEG)\n",
+        "    sims[index] = sims[index] - neg_strength* torch.nn.functional.cosine_similarity(image_features, image_features_NEG)\n",
         "#-------#\n",
         "sorted , indices = torch.sort(sims,dim=0 , descending=True)"
       ],
       "metadata": {
         "id": "rebogpoyOG8k",
-        "outputId": "c2a9083b-3b49-4693-bb17-4b829182462f",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 273,
@@ -3962,7 +3961,8 @@
             "9b8be4e7d91a47c2852ca202528744cf",
             "78b25863b7cc4400abf53a04e1f67bb2"
           ]
-        }
+        },
+        "outputId": "c2a9083b-3b49-4693-bb17-4b829182462f"
       },
       "execution_count": 4,
       "outputs": [
@@ -4127,10 +4127,10 @@
       ],
       "metadata": {
         "id": "JkzncP8SgKtS",
-        "outputId": "d47b9b06-982a-457e-ef50-60664ba6c11f",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "outputId": "d47b9b06-982a-457e-ef50-60664ba6c11f"
       },
       "execution_count": 6,
       "outputs": [