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Update explanation of tensor and NumPy array behavior #1309

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Update explanation of tensor and NumPy array behavior #1309

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3 changes: 2 additions & 1 deletion 00_pytorch_fundamentals.ipynb
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Expand Up @@ -3004,7 +3004,8 @@
"id": "Dt8yEV1jMfi2"
},
"source": [
"And the same rule applies as above, if you change the original `tensor`, the new `numpy_tensor` stays the same."
"If you reassign a tensor (non–in-place operation), the NumPy array is unchanged.
If you modify the tensor in-place, the NumPy array will reflect the change because they share memory."
]
},
{
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