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@@ -291,6 +291,36 @@
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"print(logits)"
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]
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},
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+ {
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+ "cell_type": "markdown",
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+ "id": "f8fad0fe-895d-4493-9e48-962e2d46c66f",
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+ "metadata": {},
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+ "source": [
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+ "---\n",
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+ "\n",
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+ "**Note**\n",
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+ "\n",
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+ "- If you are running this code on Windows or Linux, the resulting values above may look like as follows:\n",
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+ " \n",
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+ "```\n",
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+ "Output shape: torch.Size([2, 4, 50257])\n",
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+ "tensor([[[-0.9289, 0.2748, -0.7557, ..., -1.6070, 0.2702, -0.5888],\n",
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+ " [-0.4476, 0.1726, 0.5354, ..., -0.3932, 1.5285, 0.8557],\n",
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+ " [ 0.5680, 1.6053, -0.2155, ..., 1.1624, 0.1380, 0.7425],\n",
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+ " [ 0.0447, 2.4787, -0.8843, ..., 1.3219, -0.0864, -0.5856]],\n",
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+ "\n",
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+ " [[-1.5474, -0.0542, -1.0571, ..., -1.8061, -0.4494, -0.6747],\n",
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+ " [-0.8422, 0.8243, -0.1098, ..., -0.1434, 0.2079, 1.2046],\n",
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+ " [ 0.1355, 1.1858, -0.1453, ..., 0.0869, -0.1590, 0.1552],\n",
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+ " [ 0.1666, -0.8138, 0.2307, ..., 2.5035, -0.3055, -0.3083]]],\n",
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+ " grad_fn=<UnsafeViewBackward0>)\n",
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+ "```\n",
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+ "\n",
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+ "- Since these are just random numbers, this is not a reason for concern, and you can proceed with the remainder of the chapter without issues\n",
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+ "\n",
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+ "---"
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+ ]
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+ },
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{
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"cell_type": "markdown",
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"id": "f8332a00-98da-4eb4-b882-922776a89917",
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@@ -1509,7 +1539,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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- "version": "3.10.10"
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+ "version": "3.11.4"
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}
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},
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"nbformat": 4,
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rasbt