Row 94012

Row ID: 94012 | Dataset Entry | Axioma AXP Content Repository

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Thank you a lot. So if I have layers fixed on a device (using both gpu and cpu) I can simply use

loss.backward()

to compute the back propagation without having to do a custom function like in my code, right?

FieldValue
text Thank you a lot. So if I have layers fixed on a device (using both gpu and cpu) I can simply use loss.backward() to compute the back propagation without having to do a custom function like in my code, right?
label r/pytorch
dataType comment
communityName r/pytorch
datetime 2024-05-25
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Raw Record

{
  "text": "Thank you a lot. So if I have layers fixed on a device (using both gpu and cpu) I can simply use \n\nloss.backward()\n\nto compute the back propagation without having to do a custom function like in my code, right?",
  "label": "r/pytorch",
  "dataType": "comment",
  "communityName": "r/pytorch",
  "datetime": "2024-05-25",
  "username_encoded": "Z0FBQUFBQm5Lak10cXdCdURhWW5QZmhOcGpGd2JCUVJWa0hFREMxM0RHSk9xaF9TN1AzTnhBUDdqZ3dVU0M1dlRGUk9CVTFNNTQ2dXQ3XzZXMVBWRHExanduUVJwa2JCMVNoclpmZUNnZ0M4ZUpGSmhYZVFyYk09",
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}
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