Question

Why does autograd not produce gradient for intermediate variables?

score 11.2k · Answer 1 · 2024-12-30 01:14:04

11.2k

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Why does autograd not produce gradient for intermediate variables?

Published on 30 December 2024 at 01:14

score 164 · Answer 2 · 2025-01-03 18:45:50

164

Views

Computing tSNE gradient using autograd

Published on 03 January 2025 at 18:45

score 576 · Answer 3 · 2025-01-03 19:06:02

576

Views

Using Autograd .backward() function to calculate an intermediate value in the forward pass of Pytorch model

Published on 03 January 2025 at 19:06

score 206 · Answer 4 · 2025-01-03 19:05:03

206

Views

Calculate gradient of validation error w.r.t inputs using Keras/Tensorflow or autograd

Published on 03 January 2025 at 19:05

score 4.3k · Answer 5 · 2024-12-29 07:05:22

4.3k

Views

Conditional update in JAX?

Published on 29 December 2024 at 07:05

score 1k · Answer 6 · 2025-01-03 18:58:04

1k

Views

PyTorch not updating weights when using autograd in loss function

Published on 03 January 2025 at 18:58

score 77 · Answer 7 · 2024-12-30 16:44:13

77

Views

Saving a Pytorch neural net (torch.autograd.grad included) as a Torch Script code

Published on 30 December 2024 at 16:44

score 153 · Answer 8 · 2025-01-03 19:02:54

153

Views

Higher-order derivatives in PyTorch increase in computation time exponentially

Published on 03 January 2025 at 19:02

score 275 · Answer 9 · 2024-12-29 07:45:24

275

Views

PyTorch autograd: Efficient computation of Jacobian and Jacobian-Vector-product of scalar function over range of inputs

Published on 29 December 2024 at 07:45

score 121 · Answer 10 · 2025-01-03 18:45:49

121

Views

Pytorch - backward with complex numbers

Published on 03 January 2025 at 18:45

score 62 · Answer 11 · 2025-01-03 18:48:12

62

Views

Variable context in nested python function

Published on 03 January 2025 at 18:48

score 489 · Answer 12 · 2025-01-03 18:58:03

489

Views

How to modify parameters that require gradients in meta learning?

Published on 03 January 2025 at 18:58

score 79 · Answer 13 · 2024-12-25 20:46:53

79

Views

Can we "track" a student IP when using GitHub classroom autograding tests?

Published on 25 December 2024 at 20:46

score 95 · Answer 14 · 2025-01-03 19:05:18

95

Views

Different behavior between pytorch.cdist and a self-made distance function between pair of points

Published on 03 January 2025 at 19:05

score 174 · Answer 15 · 2025-01-03 19:02:53

174

Views

Print intermediate gradient values during backward pass in Pytorch using hooks

Published on 03 January 2025 at 19:02

score 54 · Answer 16 · 2025-01-06 17:24:44

54

Views

Pytorch compute gradients without autograd with respect to weights

Published on 06 January 2025 at 17:24

score 66 · Answer 17 · 2025-01-03 19:04:02

66

Views

Higher order derivatives w.r.t. singular feature map in CNN architecture using PyTorch

Published on 03 January 2025 at 19:04

score 567 · Answer 18 · 2025-01-03 19:02:06

567

Views

Can we reset .requires_grad of all defined tensors in a code to zero at once

Published on 03 January 2025 at 19:02

score 5.9k · Answer 19 · 2025-01-03 18:53:13

5.9k

Views

Getting the output's grad with respect to the input

Published on 03 January 2025 at 18:53

score 11.4k · Answer 20 · 2025-01-03 18:58:01

11.4k

Views

PyTorch error in trying to backward through the graph a second time

Published on 03 January 2025 at 18:58

List Question

Why does autograd not produce gradient for intermediate variables?

Computing tSNE gradient using autograd

Using Autograd .backward() function to calculate an intermediate value in the forward pass of Pytorch model

Calculate gradient of validation error w.r.t inputs using Keras/Tensorflow or autograd

Conditional update in JAX?

PyTorch not updating weights when using autograd in loss function

Saving a Pytorch neural net (torch.autograd.grad included) as a Torch Script code

Higher-order derivatives in PyTorch increase in computation time exponentially

PyTorch autograd: Efficient computation of Jacobian and Jacobian-Vector-product of scalar function over range of inputs

Pytorch - backward with complex numbers

Variable context in nested python function

How to modify parameters that require gradients in meta learning?

Can we "track" a student IP when using GitHub classroom autograding tests?

Different behavior between pytorch.cdist and a self-made distance function between pair of points

Print intermediate gradient values during backward pass in Pytorch using hooks

Pytorch compute gradients without autograd with respect to weights

Higher order derivatives w.r.t. singular feature map in CNN architecture using PyTorch

Can we reset .requires_grad of all defined tensors in a code to zero at once

Getting the output's grad with respect to the input

PyTorch error in trying to backward through the graph a second time

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