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Question

Why does autograd not produce gradient for intermediate variables?

score 11196 · Answer 1 · 2017-08-31 18:45:40

1

Answer

11196

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Why does autograd not produce gradient for intermediate variables?

11.1k views Asked by foobar At 31 August 2017 at 18:45

score 117 · Answer 2 · 2017-09-12 23:14:22

Computing tSNE gradient using autograd

117 views Asked by Injitea At 12 September 2017 at 23:14

score 529 · Answer 3 · 2020-09-27 20:06:49

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

529 views Asked by somio sasa At 27 September 2020 at 20:06

score 159 · Answer 4 · 2020-10-06 16:27:35

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

159 views Asked by Prameesha At 06 October 2020 at 16:27

score 4320 · Answer 5 · 2020-10-18 05:47:44

Conditional update in JAX?

4.3k views Asked by Andriy Drozdyuk At 18 October 2020 at 05:47

score 1025 · Answer 6 · 2020-10-24 12:11:03

PyTorch not updating weights when using autograd in loss function

1k views Asked by wil3 At 24 October 2020 at 12:11

score 30 · Answer 7 · 2023-10-26 12:11:28

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

30 views Asked by RabieF At 26 October 2023 at 12:11

score 105 · Answer 8 · 2023-10-19 00:42:06

Higher-order derivatives in PyTorch increase in computation time exponentially

105 views Asked by Spherical Cow At 19 October 2023 at 00:42

score 245 · Answer 9 · 2023-10-25 16:35:09

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

245 views Asked by Landscape At 25 October 2023 at 16:35

score 71 · Answer 10 · 2023-11-07 02:50:40

Pytorch - backward with complex numbers

71 views Asked by computational_scientist At 07 November 2023 at 02:50

TechQA.

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

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