Maghoumi pytorch-softdtw-cuda issues

Maghoumi / pytorch-softdtw-cuda

Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch

MIT License

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issues

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measure the similarity between two same length voice sequences

#35 greydon-shamce opened 1 week ago
0
It is support time-serise Classification task?

#34 CAI23sbP closed 4 months ago
2
Make normalise work for unequal sequence lengths

#33 AlexWilkinsonnn opened 7 months ago
0
why i get a negative loss value?

#32 FZH1802 opened 10 months ago
4
output the alignments of two sequences

#31 XIDIANPQZ opened 1 year ago
2
Incorrect Batch size for euclidian dist using normalization

#30 denisbeslic closed 1 year ago
0
sympy error

#29 gg4u opened 1 year ago
0
NvvmSupportError: libNVVM cannot be found.

#28 zxg-code opened 1 year ago
0
Negative value

#27 NingkangYang opened 1 year ago
1
CUDA_ERROR_INVALID_VALUE

#26 Cram3r95 opened 1 year ago
3
Gradients are gone when moving the code to CUDA

#25 mariaalfaroc opened 1 year ago
0
Sakoe chiba band

#24 toinsson opened 2 years ago
2
pairwise distance computation with smaller memory footprint

#23 toinsson opened 2 years ago
2
enable numba cpu parallelisation

#22 toinsson closed 2 years ago
2
Grid size (4) < 2 * SM count (164) will likely result in GPU under utilization due to low occupancy.

#21 18445864529 opened 2 years ago
1
package in pypi or conda

#20 toinsson opened 2 years ago
2
Regarding GPU memory footprint

#19 netw0rkf10w opened 2 years ago
1
The loss value of softDTW is inf when choosing bandwidth values

#18 educationunion opened 2 years ago
1
Transfer tensors to GPU in the example snippet of README.md

#17 Yutaro-Sanada closed 2 years ago
1
[Feature Request] Compatibility with Pytorch packed sequences

#16 parthatom opened 3 years ago
1
AssertionError when dims increase

#15 tricky61 closed 3 years ago
0
Example fails on GPU

#14 weidenka closed 2 years ago
7
GPU mem still be affected when using CPU Soft DTW

#13 v-nhandt21 closed 2 years ago
2
Compare with Cython implement

#12 v-nhandt21 closed 2 years ago
2
Batch of variable sequence length

#11 daidedou closed 3 years ago
2
can DTW be negative?

#10 yongjunshin closed 3 years ago
1
loss drop below 0?

#9 dyt0414 closed 3 years ago
1
soft-DTW loss became inf when setting bandwidth bigger than 0

#8 LuckerYi opened 3 years ago
2
Does this implementation support distributed training in Pytorch?

#7 taolusi opened 3 years ago
4
[Feature request] Add backtracking/compatibility with other tools

#6 janvainer closed 3 years ago
1
Does .backward() contain grads for both sequences?

#5 janvainer closed 3 years ago
2
Value for bandwitdh pruning?

#4 hadaev8 closed 3 years ago
3
Distance function and comparison with no warping

#3 cfrancesco closed 3 years ago
3
Steps chosen / choice penalty

#2 cfrancesco closed 4 years ago
3
*obj* doesn't implement the cuda array interface. at cuda.as_cuda_array(D.detach())

#1 KimUyen closed 4 years ago
2