Row 6206

Row ID: 6206 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 6206 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

If you want to learn about auto* diff, go look at the micrograd tutorials by Andrej Karpathy.

I would strongly recommend against using pytorch partially like this. It isn't really designed for what you want to do. Anyway, one probable fix is to do the operation directly on the tensor value. I think .data() is the method. So that it isn't captured by the torch.

You will also need to go learn in depth about autograd and the difference between leaf and non-leaf nodes to understand what you've done here and why it is failing.

I'm also not clear why you are retaining graph there. But you'll need to forgive that since I'm looking at this on my phone and formatting is horrible on mobile. Edit: typo again :/

FieldValue
text If you want to learn about auto* diff, go look at the micrograd tutorials by Andrej Karpathy. I would strongly recommend against using pytorch partially like this. It isn't really designed for what you want to do. Anyway, one probable fix is to do the operation directly on the tensor value. I think .data() is the method. So that it isn't captured by the torch. You will also need to go learn in depth about autograd and the difference between leaf and non-leaf nodes to understand what you've don…
label r/pytorch
dataType comment
communityName r/pytorch
datetime 2024-05-08
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Raw Record

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  "text": "If you want to learn about auto* diff, go look at the micrograd tutorials by Andrej Karpathy.\n\nI would strongly recommend against using pytorch partially like this. It isn't really designed for what you want to do. Anyway, one probable fix is to do the operation directly on the tensor value. I think .data() is the method. So that it isn't captured by the torch.\n\nYou will also need to go learn in depth about autograd and the difference between leaf and non-leaf nodes to understand what you've done here and why it is failing. \n\nI'm also not clear why you are retaining graph there. But you'll need to forgive that since I'm looking at this on my phone and formatting is horrible on mobile. Edit: typo again :/",
  "label": "r/pytorch",
  "dataType": "comment",
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  "datetime": "2024-05-08",
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Entry Information