From 311a0784a290443e26a0d68a2594dba9630c386a Mon Sep 17 00:00:00 2001
From: or-toledano <49984106+or-toledano@users.noreply.github.com>
Date: Mon, 9 Aug 2021 08:26:41 +0300
Subject: [PATCH] Reduce size of diff #2

---
 .../Prompt_Engineering_for_ImageNet.ipynb     | 60 +++++++++----------
 1 file changed, 30 insertions(+), 30 deletions(-)

diff --git a/notebooks/Prompt_Engineering_for_ImageNet.ipynb b/notebooks/Prompt_Engineering_for_ImageNet.ipynb
index d30ccfe..86eae81 100644
--- a/notebooks/Prompt_Engineering_for_ImageNet.ipynb
+++ b/notebooks/Prompt_Engineering_for_ImageNet.ipynb
@@ -713,7 +713,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "['RN50', 'ViT-f']"
+              "['RN50', 'ViT-B/32']"
             ]
           },
           "metadata": {
@@ -733,43 +733,43 @@
         "outputId": "58e644d4-6e23-43b5-964e-1e9e8540d22e"
       },
       "source": [
-       "jit = True\n",
-       "model, preprocess = clip.load(\"ViT-B/32\", jit=jit)"
+        "jit = True\n",
+        "model, preprocess = clip.load(\"ViT-B/32\", jit=jit)"
       ],
       "execution_count": 6,
       "outputs": [
-       {
-        "output_type": "stream",
-        "text": [
-         "100%|██████████████████████| 353976522/353976522 [00:01<00:00, 188872424.30it/s]\n"
-        ],
-        "name": "stderr"
-       }
+        {
+          "output_type": "stream",
+         "text": [
+            "100%|██████████████████████| 353976522/353976522 [00:01<00:00, 188872424.30it/s]\n"
+          ],
+          "name": "stderr"
+        }
       ]
-     },
-     {
+    },
+    {
       "cell_type": "code",
       "metadata": {
-       "colab": {
-        "base_uri": "https://localhost:8080/"
-       },
-       "id": "IBRVTY9lbGm8",
-       "outputId": "58641dc2-919d-40ae-b71a-7b7b47830f77"
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "IBRVTY9lbGm8",
+        "outputId": "58641dc2-919d-40ae-b71a-7b7b47830f77"
       },
       "source": [
-       "if jit:\n",
-       "    input_resolution = model.input_resolution.item()\n",
-       "    context_length = model.context_length.item()\n",
-       "    vocab_size = model.vocab_size.item()\n",
-       "else:\n",
-       "    input_resolution = model.visual.input_resolution\n",
-       "    context_length = model.context_length\n",
-       "    vocab_size = model.vocab_size\n",
-       "\n",
-       "print(\"Model parameters:\", f\"{np.sum([int(np.prod(p.shape)) for p in model.parameters()]):,}\")\n",
-       "print(\"Input resolution:\", input_resolution)\n",
-       "print(\"Context length:\", context_length)\n",
-       "print(\"Vocab size:\", vocab_size)"
+        "if jit:\n",
+        "    input_resolution = model.input_resolution.item()\n",
+        "    context_length = model.context_length.item()\n",
+        "    vocab_size = model.vocab_size.item()\n",
+        "else:\n",
+        "    input_resolution = model.visual.input_resolution\n",
+        "    context_length = model.context_length\n",
+        "    vocab_size = model.vocab_size\n",
+        "\n",
+        "print(\"Model parameters:\", f\"{np.sum([int(np.prod(p.shape)) for p in model.parameters()]):,}\")\n",
+        "print(\"Input resolution:\", input_resolution)\n",
+        "print(\"Context length:\", context_length)\n",
+        "print(\"Vocab size:\", vocab_size)"
       ],
       "execution_count": 7,
       "outputs": [