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Implement logsumexp (fixes #2591)#7254

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ezyang merged 2 commits into
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t-vi:logsumexp
May 15, 2018
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Implement logsumexp (fixes #2591)#7254
ezyang merged 2 commits into
pytorch:masterfrom
t-vi:logsumexp

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@t-vi t-vi commented May 3, 2018

Maybe this is useful.

ssnl
ssnl reviewed May 3, 2018
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Thanks! Can you add inf cases in the test? This looks great otherwise.

ssnl
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Good to merge if test passes

soumith
soumith approved these changes May 3, 2018
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simon reviewed, so accepting

ssnl
ssnl previously requested changes May 3, 2018
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Actually could you write a custom backward? The autograd backward isn't very efficient. The formula should just be exp(input) / output for 1d case.

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ezyang commented May 4, 2018

Windows error seems legit, if a bit strange:

22:53:58 ======================================================================
22:53:58 ERROR: test_logsumexp (test_autograd.TestAutograd)
22:53:58 ----------------------------------------------------------------------
22:53:58 Traceback (most recent call last):
22:53:58   File "C:\Jenkins\workspace\pytorch-builds\pytorch-win-ws2016-cuda9-cudnn7-py3-test\test\test_autograd.py", line 3290, in do_test
22:53:58     check(name)
22:53:58   File "C:\Jenkins\workspace\pytorch-builds\pytorch-win-ws2016-cuda9-cudnn7-py3-test\test\test_autograd.py", line 3225, in check
22:53:58     output_variable, (self_variable,) + args_variable)
22:53:58   File "C:\Jenkins\workspace\pytorch-builds\pytorch-win-ws2016-cuda9-cudnn7-py3-test\test\test_autograd.py", line 3151, in run_grad_and_gradgrad_checks
22:53:58     test_case.assertTrue(gradcheck(apply_method, input_variables, eps=1e-6, atol=PRECISION))
22:53:58   File "C:\Jenkins\workspace\pytorch-builds\pytorch-win-ws2016-cuda9-cudnn7-py3-test\test\torch\autograd\gradcheck.py", line 182, in gradcheck
22:53:58     analytical, reentrant, correct_grad_sizes = get_analytical_jacobian(tupled_inputs, o)
22:53:58   File "C:\Jenkins\workspace\pytorch-builds\pytorch-win-ws2016-cuda9-cudnn7-py3-test\test\torch\autograd\gradcheck.py", line 94, in get_analytical_jacobian
22:53:58     jacobian = make_jacobian(input, output.numel())
22:53:58 RuntimeError: Attempted to cast a Tensor to a Variable, but the dynamic type of the value is not Variable.
22:53:58

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ezyang commented May 4, 2018

I looked at the code and I don't see why this test would have triggered only on Windows. Looks like it will need debugging. Possibly an error elsewhere in PyTorch that is being exercised here.

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t-vi commented May 4, 2018 •
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@ezyang Thank you for looking into that. Interestingly, I got failures on Linux (gcc 7.3) as well when I wanted to test the backward - incidentally it didn't yesterday before I did the backward. It turned out that I had forgotten to specify variants: function - given that the TestAutograd.test_logsumexp now runs fine, maybe that has to do with it.
Update: So we only have the #7202 OOM failure left.

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ssnl commented May 4, 2018

@pytorchbot retest this please

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ssnl commented May 4, 2018 •
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This needs rebasing

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ezyang commented May 13, 2018

@pytorchbot retest this please

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t-vi commented May 13, 2018

@ezyang I think now the PR has two spurious failures instead of one.

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ezyang commented May 13, 2018

@pytorchbot retest this please

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t-vi commented May 13, 2018

Thank you! There seems to be a different failure now, but I'm afraid I'm not sure what is going on.

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zou3519 commented May 14, 2018

@pytorchbot retest this please

@ezyang ezyang merged commit e1148db into pytorch:master May 15, 2018
onnxbot added a commit to onnxbot/onnx-fb-universe that referenced this pull request May 15, 2018
@onnxbot
[auto] Update pytorch to e1148db - Implement logsumexp (fixes pytorch…
404a8e2 
…/pytorch#2591) (pytorch/pytorch#7254)

pytorch/pytorch@e1148db
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zou3519 commented May 15, 2018

thanks @t-vi for the contribution!

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vadimkantorov commented Jun 1, 2018 •
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@t-vi @zou3519 The doc-string isn't shown in docs online: empty https://pytorch.org/docs/master/search.html?q=logsumexp&check_keywords=yes&area=default

Maybe autofunction is missing

Also, it seems PyTorch now has two copies of logsumexp, second one is in distributions: #8031

@vadimkantorov vadimkantorov mentioned this pull request Jun 1, 2018
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weiyangfb pushed a commit to weiyangfb/pytorch that referenced this pull request Jun 11, 2018
@t-vi @weiyangfb
Implement logsumexp (fixes pytorch#2591) (pytorch#7254)
102d9fd 
* Implement logsumexp (fixes pytorch#2591)

* Add logsumexp_backward, fix _out declaration.

Thank you Simon and Edward for your comments!
@zou3519 zou3519 mentioned this pull request Jun 13, 2018
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laurentdupin pushed a commit to laurentdupin/pytorch that referenced this pull request Apr 24, 2026
@t-vi @ezyang
Implement logsumexp (fixes pytorch#2591) (pytorch#7254)
a2f17cf 
* Implement logsumexp (fixes pytorch#2591)

* Add logsumexp_backward, fix _out declaration.

Thank you Simon and Edward for your comments!
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@soumith soumith soumith approved these changes

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@t-vi @ezyang @ssnl @zou3519 @vadimkantorov @soumith