From 113153671b5ab9ff613a03dbbfcf4266e269bd9f Mon Sep 17 00:00:00 2001
From: Gustaf Rydholm <gustaf.rydholm@gmail.com>
Date: Wed, 3 Nov 2021 22:12:09 +0100
Subject: Update notebook

---
 notebooks/04-efficientnet-transformer.ipynb | 136 +++++++++++++++++++++++++++-
 1 file changed, 135 insertions(+), 1 deletion(-)

(limited to 'notebooks')

diff --git a/notebooks/04-efficientnet-transformer.ipynb b/notebooks/04-efficientnet-transformer.ipynb
index 4a6fd64..0977487 100644
--- a/notebooks/04-efficientnet-transformer.ipynb
+++ b/notebooks/04-efficientnet-transformer.ipynb
@@ -284,10 +284,144 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "b13ac47c-322d-47d4-bcee-43e5341f74a7",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "start_tokens = torch.ones(1, 1).long()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "55a16f5d-2b27-4a12-b5bb-eb079784b0ae",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "num_dims = len(start_tokens.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "46c65400-fa47-4c10-9edd-8416e6a1185a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if num_dims == 1:\n",
+    "    start_tokens = start_tokens[None, :]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "1dfa0b95-a075-4121-b2bf-f1a8100b10fd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "torch.Size([1, 1])"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "start_tokens.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "c85a357c-f6af-42c5-b714-89df024c29e3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b, t = start_tokens.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "0ba293f4-e08d-4aaa-94d5-da4899f9b592",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "out = start_tokens"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "a8225f98-c5e9-4da2-b756-75599fa8e044",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "input_mask = torch.full_like(out, True, dtype=torch.bool, device=out.device)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "63dfcfd7-6b93-49ac-a0ab-59be53fa0853",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor([[True]])"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "input_mask"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "a752bfcf-f323-43bc-a910-fec4695150e0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = out[:, -200:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "4b1b1989-930a-48c5-a7b3-746289107b97",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor([[1]])"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "513f27bb-2ae1-42a0-8de9-9ae39fdfff32",
+   "metadata": {},
+   "outputs": [],
    "source": []
   }
  ],
-- 
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