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Optimizing an autograd + list comprehension python operation

score 24 · Answer 1 · 2024-03-27T07:59:32.047000

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Optimizing an autograd + list comprehension python operation

24 views Asked by AnotherSherlock At 27 March 2024 at 07:59

score 31 · Answer 2 · 2024-03-23T22:35:54.593000

SymPy - Can't calculate derivative wrt expression, is there an alternative for intermediate expressions?

31 views Asked by Erik Paulson At 23 March 2024 at 22:35

score 32 · Answer 3 · 2024-03-18T20:11:24.003000

How to generate jacobian of a tensor-valued function using torch.autograd?

32 views Asked by 0xbadf00d At 18 March 2024 at 20:11

score 26 · Answer 4 · 2024-03-11T08:09:23.270000

Backprop two networks with different loss without retain_graph=True?

26 views Asked by Anonymous At 11 March 2024 at 08:09

score 53 · Answer 5 · 2024-03-06T14:37:08.313000

Checking derivative tensor in Pytorch

53 views Asked by Euler_Salter At 06 March 2024 at 14:37

score 50 · Answer 6 · 2024-02-26T22:25:38.820000

Rudimentary autograd implementation in Rust

50 views Asked by RickarySanchez At 26 February 2024 at 22:25

score 79 · Answer 7 · 2024-02-25T16:53:34.607000

Calculating two gradients in pytorch and reusing an intermediate gradient

79 views Asked by klpskp At 25 February 2024 at 16:53

score 18 · Answer 8 · 2024-02-21T11:27:07.557000

Autograd "ValueError: setting an array element with a sequence" when computing norm.logpdf partial derivative

18 views Asked by Y.GP At 21 February 2024 at 11:27

score 90 · Answer 9 · 2024-02-20T23:41:28.660000

JAX jax.grad on simple function that takes an array: `ConcretizationTypeError: Abstract tracer value encountered where concrete value is expected`

score 42 · Answer 10 · 2024-02-12T20:33:28.147000

Pytorch gradient accumulation implementation results in inplace operation error?

42 views Asked by JobHunter69 At 12 February 2024 at 20:33

score 118 · Answer 11 · 2024-02-08T05:17:32.927000

Pruning nn.Linear weights inplace causes unexpected error, requires slightly weird workarounds. Need explanation

118 views Asked by arrmansa At 08 February 2024 at 05:17

score 37 · Answer 12 · 2024-02-06T01:25:44.017000

PyTorch methods that can only be called from `forward`

37 views Asked by Eric Auld At 06 February 2024 at 01:25

score 28 · Answer 13 · 2024-01-31T19:49:15.327000

Pytorch: Compute gradient dx given Ax=b without solving the whole system

28 views Asked by Plum At 31 January 2024 at 19:49

score 58 · Answer 14 · 2024-01-29T04:18:59.317000

Getting derivatives of NNs according to its inputs by batches in JAX

58 views Asked by Michaela At 29 January 2024 at 04:18

score 24 · Answer 15 · 2024-01-25T01:47:50.630000

How can I calculate the partial derivative using torch.autograd.grad() when the inputs and outputs are batched?

24 views Asked by dingqiang dai At 25 January 2024 at 01:47

score 60 · Answer 16 · 2024-01-23T06:24:13.640000

Why Pytorch autograd returns 'None' and throws error without variable exponentiated

60 views Asked by Toonia At 23 January 2024 at 06:24

score 107 · Answer 17 · 2023-12-28T07:59:49.243000

LLaMA 2 training inplace operation

107 views Asked by TWTom At 28 December 2023 at 07:59

score 109 · Answer 18 · 2023-12-12T12:15:55.070000

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

109 views Asked by Get It right At 12 December 2023 at 12:15

score 81 · Answer 19 · 2023-12-06T16:29:10.600000

Pytorch compute gradients without autograd with respect to weights

81 views Asked by NikolayBlagoev At 06 December 2023 at 16:29

score 215 · Answer 20 · 2023-12-03T21:12:46.103000

Print intermediate gradient values during backward pass in Pytorch using hooks

215 views Asked by Newbie At 03 December 2023 at 21:12

TechQA.

List Question

Optimizing an autograd + list comprehension python operation

SymPy - Can't calculate derivative wrt expression, is there an alternative for intermediate expressions?

How to generate jacobian of a tensor-valued function using torch.autograd?

Backprop two networks with different loss without retain_graph=True?

Checking derivative tensor in Pytorch

Rudimentary autograd implementation in Rust

Calculating two gradients in pytorch and reusing an intermediate gradient

Autograd "ValueError: setting an array element with a sequence" when computing norm.logpdf partial derivative

JAX jax.grad on simple function that takes an array: `ConcretizationTypeError: Abstract tracer value encountered where concrete value is expected`

Pytorch gradient accumulation implementation results in inplace operation error?

Pruning nn.Linear weights inplace causes unexpected error, requires slightly weird workarounds. Need explanation

PyTorch methods that can only be called from `forward`

Pytorch: Compute gradient dx given Ax=b without solving the whole system

Getting derivatives of NNs according to its inputs by batches in JAX

How can I calculate the partial derivative using torch.autograd.grad() when the inputs and outputs are batched?

Why Pytorch autograd returns 'None' and throws error without variable exponentiated

LLaMA 2 training inplace operation

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

Pytorch compute gradients without autograd with respect to weights

Print intermediate gradient values during backward pass in Pytorch using hooks

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