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Revision Author Date Message Commit Date
ab42284 Fix typo in norm calculation 05 December 2018, 18:53:16 UTC
ccad6e1 Add stack to the backend core so that tl.stack works 04 December 2018, 22:23:56 UTC
a769a0b Remove random-sparse method from initialize_factors() 04 December 2018, 21:50:57 UTC
111e636 Add stack() to the numpy and sparse backends It still needs to be added to the other backends. 04 December 2018, 21:42:43 UTC
0a08c08 Leave in some commented out code, but clarify what it is 04 December 2018, 21:41:59 UTC
3b67a89 Indicate how many modes there are in the verbose message 04 December 2018, 21:40:51 UTC
b9eb244 initial robust_pca wrapping 04 December 2018, 21:13:01 UTC
2b407b2 Fix IndexError in parafac 04 December 2018, 20:04:04 UTC
b3054cc Compute the norm at the end of ALS in a sparse-safe way We can never compute the exact kruskal_to_tensor() for a decomposed sparse tensor, because it will be highly dense due to numerical inaccuracies (the zeroes of the original will become near-zeroes). Rather, we compute ||tensor - kruskal_to_tensor(factors)|| as sqrt(||tensor||^2 + ||factors||^2 - 2<tensor, factors>). The second term can be computed via sum(hadamard_product(f.T.dot(f) for f in factors)). See section 5.2.5 from Bader, Brett W., and Tamara G. Kolda. "Efficient MATLAB computations with sparse and factored tensors." SIAM Journal on Scientific Computing 30.1 (2007): 205-231. The third term can be computed from the matricized Khatri-Rao product computed earlier in the algorithm. The idea was this was taken from the above cited paper and corresponding source code. See https://gitlab.com/tensors/tensor_toolbox/blob/master/cp_als.m and https://gitlab.com/tensors/tensor_toolbox/blob/master/@ktensor/norm.m. The norm computed here is not numerically identical to the norm as previously computed, due to numerical differences. This still requires cleanup to continue to work with non-sparse arrays (I haven't factored out sparse.stack to the backend yet). 04 December 2018, 19:12:46 UTC
4ff986b more docs 03 December 2018, 21:51:38 UTC
e49a448 try to fix local_threadsafe tests 03 December 2018, 20:48:05 UTC
6a5ac92 import tensorly as tl 03 December 2018, 20:38:58 UTC
2c8555a make_session_default -> local_threadsafe 03 December 2018, 20:18:00 UTC
359ee35 Some more verbose printing This commit should eventually be reverted. 30 November 2018, 23:34:37 UTC
c864360 Better variable names 30 November 2018, 23:34:17 UTC
2653b70 Experimental work in progress support for sparse matrix-times-khatri-rao 30 November 2018, 20:30:21 UTC
f2fc3f1 added sparse tensor to initi 29 November 2018, 23:39:35 UTC
1608ad0 added sparse_tensor and backend system docs 29 November 2018, 23:20:50 UTC
6e03faa revert tests to using relative imports 29 November 2018, 22:22:14 UTC
e636133 Sparse developer docs fixes 28 November 2018, 21:13:04 UTC
eeac726 Sparse developer docs 28 November 2018, 19:05:53 UTC
79a29e3 Clear trailing whitespace in candecomp_parafac.py 26 November 2018, 23:32:43 UTC
0bbba71 Split out some variables for easier debugging 26 November 2018, 23:32:26 UTC
29c6ddd Add random-sparse initialize_factors method This is still experimental. I still need to figure out how to reliably get an initial set of factors that are dense for the algorithm to work but sparse enough to work with large sparse tensors. 26 November 2018, 23:30:51 UTC
b1e93bb Add solve for the sparse backend 26 November 2018, 23:29:55 UTC
f1941ec Wrap parafac for sparse (it doesn't actually work yet) 26 November 2018, 23:29:26 UTC
ba1c13b fixed make_session_default tests 26 November 2018, 20:48:05 UTC
f6a908d some minor refactors 26 November 2018, 20:42:21 UTC
f532a16 Skip MPS tests when on tensorflow backend due to unsupported fancy indexing operations 26 November 2018, 19:35:52 UTC
c66bd7b Merge branch 'master' into sparse 26 November 2018, 18:47:37 UTC
3a35360 DOC FIX: home page user_guide link 26 November 2018, 16:25:12 UTC
9fc1f82 Add argmin and argmax for tensorflow 20 November 2018, 19:03:33 UTC
4848bf9 register_method is only for functions that *aren't* defined as staticmethods 19 November 2018, 23:45:40 UTC
23d21ba Fix assert_ import 19 November 2018, 23:32:04 UTC
f7a9519 Add argmin and argmax to __init__.py 19 November 2018, 23:28:15 UTC
e4144a0 Merge branch 'master' into sparse 19 November 2018, 23:09:15 UTC
ff75e67 Add tensorly.contrib.sparse.tenalg 30 October 2018, 14:41:47 UTC
ec8add1 Random: deprecate old functions 29 October 2018, 14:45:26 UTC
841e7e6 DOC: update random module API 29 October 2018, 14:30:25 UTC
e782136 Refactored random module 29 October 2018, 14:29:04 UTC
c5cef8e Sanity checks on rank for MPS 29 October 2018, 14:28:39 UTC
54297a3 FIX: use tl.ones not np. 28 October 2018, 21:00:47 UTC
8104e06 FIX: (multi_)mode_dot with vector 28 October 2018, 20:53:28 UTC
9badf5d Do not set global random seed 28 October 2018, 18:11:22 UTC
d4b1854 DOC: add contrib to API 28 October 2018, 18:02:33 UTC
f15cf2e Contrib: add decomposition submodule 28 October 2018, 18:02:01 UTC
d82e08b Merge pull request #73 from wumming/TTcross Cross-approx algorithm for MSP/tensor-train decomposition 28 October 2018, 14:21:49 UTC
a7971af Typos 27 October 2018, 19:47:36 UTC
cd25045 Updated guide 27 October 2018, 19:46:30 UTC
c8095a4 Removed un-necessary import 27 October 2018, 17:13:53 UTC
3ff301c Edit AUTHORS list 08 October 2018, 12:27:34 UTC
aa076e5 Add numpy sparse backend 02 October 2018, 03:22:24 UTC
404b8bd Test tensorflow backend on travis 02 October 2018, 00:33:07 UTC
cd83529 Document generic backend methods 01 October 2018, 23:21:49 UTC
3752779 Refactor again - Use classes, to hopefully make the backend implementations clearer for others. - Add ability to set backend for all threads. Default is still thread/context local, but we may want to change that later. 01 October 2018, 22:57:11 UTC
9b8ad49 Add tests for set_backend/get_backend 28 September 2018, 19:49:11 UTC
f6ebddb Remove backend-specific test utils Having these as backend specific was unnecessary. - Create `tensorly.testing` - Move all test imports to `tensorly.testing`. - Use absolute imports for test imports. For tests this makes more sense than relative imports, and is standard practice in the numerical python ecosystem. 28 September 2018, 18:21:20 UTC
80ee222 flake 28 September 2018, 14:18:12 UTC
b9dbf5d Refactor cupy backend 28 September 2018, 13:59:21 UTC
7cf259a Refactor tensorflow backend 28 September 2018, 13:46:43 UTC
15f1d4d Refactor mxnet backend 27 September 2018, 22:31:13 UTC
2b79f10 Refactor pytorch backend, add flake8 27 September 2018, 21:40:36 UTC
b6cebd4 Continue refactor - Add docstrings for all public methods - A few style cleanups - Explicitly import things into top-level namespace - Remove a few unnecessary backend methods. 27 September 2018, 21:03:31 UTC
6dcb645 WIP: refactor backends 27 September 2018, 20:12:24 UTC
6f85b26 move check_random_state(1) 21 September 2018, 17:16:45 UTC
5ef625f Specify SVD fun for tucker 21 September 2018, 11:08:39 UTC
e22fa80 delete hard coded dtype. 19 September 2018, 17:49:39 UTC
fa50f7a Merge branch 'master' into TTcross 19 September 2018, 17:46:03 UTC
47b57dd Merge branch 'TTcross' of https://github.com/wumming/tensorly into TTcross 19 September 2018, 17:37:51 UTC
0c33fc0 modify pytorch's tl.tensor(). delete int()/tensor_as_indices() 19 September 2018, 17:33:45 UTC
4e9ed27 change int() to tensor_as_indices() and minor changes 19 September 2018, 17:33:45 UTC
463b553 use solve instead of inverse, delete npr.seed() 19 September 2018, 17:33:45 UTC
975c84b Fix bugs for MxNet 1. wrapper Numpy's inverse for MxNet. 2. MxNet is not robust when vector has size 1. Add a base case for it. 3. MxNet is not robust for a/b. transpose b so that a and b are in the same shape. 19 September 2018, 17:33:45 UTC
f0cdb8e candecomp_parafac.py should be in tensorly/decomposition instead of tensorly/contrib 19 September 2018, 17:33:45 UTC
2162dda add back candecomp_parafac.py from master 19 September 2018, 17:33:45 UTC
e918a01 delete candecomp I didn't change candecomp. Only modified mps_cross 19 September 2018, 17:33:45 UTC
c0e6781 Import dtypes 19 September 2018, 17:06:18 UTC
87e50c8 pytorch backend: don't force default dtype 19 September 2018, 16:22:45 UTC
0e08f2b modify pytorch's tl.tensor(). delete int()/tensor_as_indices() 19 September 2018, 16:12:19 UTC
910a1c2 change int() to tensor_as_indices() and minor changes 19 September 2018, 07:10:38 UTC
f08b657 use solve instead of inverse, delete npr.seed() 14 September 2018, 18:15:59 UTC
6be1f6d Fix bugs for MxNet 1. wrapper Numpy's inverse for MxNet. 2. MxNet is not robust when vector has size 1. Add a base case for it. 3. MxNet is not robust for a/b. transpose b so that a and b are in the same shape. 08 September 2018, 21:28:00 UTC
4c4b32e candecomp_parafac.py should be in tensorly/decomposition instead of tensorly/contrib 03 September 2018, 21:31:50 UTC
bd9e00d add back candecomp_parafac.py from master 03 September 2018, 21:27:14 UTC
5f1dae9 delete candecomp I didn't change candecomp. Only modified mps_cross 03 September 2018, 03:57:13 UTC
5206d0d Merge branch 'tensorly-master' into TTcross Resolve the conflicts on pytorch and tensorflow backends. 03 September 2018, 03:39:10 UTC
3db755b Resolved merge conflict by incorporating both suggestions. 03 September 2018, 03:36:48 UTC
3cce636 clear STT 30 August 2018, 20:45:19 UTC
5157ba9 delete STT 30 August 2018, 20:43:58 UTC
4f73baf merge2 30 August 2018, 20:15:08 UTC
e09b6e7 FIX: properly use svd fun provided 30 August 2018, 10:21:50 UTC
4737451 CPD: add svd parameter (default to 'numpy_svd') 30 August 2018, 10:10:52 UTC
3448786 merge 30 August 2018, 06:40:08 UTC
4fe5366 Merge pull request #70 from eriche7133/patch-1 FIX: init uses `==` instead `is` to check for init options 29 August 2018, 14:58:30 UTC
808daad Update candecomp_parafac.py Changed "is" to "==" for comparing strings in the initialize_factors function. 29 August 2018, 14:23:12 UTC
f1e7e39 Doc for tensor-train decomposition 21 August 2018, 23:54:41 UTC
f28fd20 ENH: adds several options to compute truncated SVD 16 August 2018, 18:39:19 UTC
5551175 Update Makefile 16 August 2018, 18:39:07 UTC
4d24972 FIX/pytorch: to_numpy detaches variables if needed 14 August 2018, 11:35:58 UTC
c7b16c8 greedy maxvol 14 August 2018, 07:52:27 UTC
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