arthurmensch / didyprog Goto Github PK
View Code? Open in Web Editor NEWDifferentiable Dynamic Programming
License: MIT License
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kastnerkyle kdoroschak tomfisher zh217 mukami12 minhnhat93 zmeigorynych paper-implementation liyu95 xb-chang mortonjt guhur leiwangr jhmlam dashstander mfkiwl 1989ryan mxkrn explcredidyprog's Issues
[x : float = y] syntax not implemented in python < 3.6
Instances occur in viterbi.py and local.py implementations. I'm not sure what the effect is supposed to be but if it is to enforce type then consider switching to x = float(y)
package named 'didypro' rather than 'didyprog' in setup.py
3 instances in setup.py than cause install failure.
the relation to DTW
could please tell me the relation to soft-DTW project "https://github.com/mblondel/soft-dtw", because I come here from that project? Thanks
Unittests are failing
The following unittests fail
========================================================================================= short test summary info ==========================================================================================
FAILED test_viterbi.py::test_viterbi_two_lengths[hardmax] - ValueError: too many values to unpack (expected 2)
FAILED test_viterbi.py::test_viterbi_two_lengths[softmax] - ValueError: too many values to unpack (expected 2)
FAILED test_viterbi.py::test_viterbi_two_lengths[sparsemax] - ValueError: too many values to unpack (expected 2)
FAILED test_viterbi.py::test_grad_hessian_viterbi_two_samples[hardmax] - ValueError: too many values to unpack (expected 2)
FAILED test_viterbi.py::test_grad_hessian_viterbi_two_samples[softmax] - ValueError: too many values to unpack (expected 2)
FAILED test_viterbi.py::test_grad_hessian_viterbi_two_samples[sparsemax] - ValueError: too many values to unpack (expected 2)
The culprit is this line of code (the type signature doesn't quite match).
https://github.com/arthurmensch/didyprog/blob/master/didyprog/ner/viterbi.py#L276
How to use soft-DTW in PyTorch?
install issue
how do i install this without sudo, in user mode (similar to pip install --user)?
tried installing this using python setup.py install --user --prefix= reference: [here], but got the following stack trace:
Traceback (most recent call last):
File "setup.py", line 63, in <module>
'Operating System :: MacOS'
File "/home/x86_64-unknown-linux_ol7-gnu/anaconda-5.2.0/envs/pytorch/lib/python3.6/site-packages/numpy/distutils/core.py", line 135, in setup
config = configuration()
File "setup.py", line 29, in configuration
config.add_subpackage('didypro')
File "/home/x86_64-unknown-linux_ol7-gnu/anaconda-5.2.0/envs/pytorch/lib/python3.6/site-packages/numpy/distutils/misc_util.py", line 1024, in add_subpackage
caller_level = 2)
File "/home/x86_64-unknown-linux_ol7-gnu/anaconda-5.2.0/envs/pytorch/lib/python3.6/site-packages/numpy/distutils/misc_util.py", line 986, in get_subpackage
caller_level = caller_level+1)
File "/home/x86_64-unknown-linux_ol7-gnu/anaconda-5.2.0/envs/pytorch/lib/python3.6/site-packages/numpy/distutils/misc_util.py", line 768, in __init__
raise ValueError("%r is not a directory" % (package_path,))
ValueError: 'didypro' is not a directory
can someone please help me with this? @arthurmensch @lyprince
thanks! :)
Custom backward implementation
Hello, thank you for great paper and for sharing the code!
I'm not sure to understand well in the paper (§3.4) why it is so fast compared to the autodiff implementation. Could you give some additionnal insight or references to help understand the improve of custom backward? Thank you
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