Mike Innes
c9663c1e71
pkg up
2019-07-12 14:51:42 +01:00
Manjunath Bhat
2b379d0ec0
Allow scalar indexing or onehotbatch tests will fail
2019-07-12 17:56:47 +05:30
Mike Innes
33c8d84a60
cuparam -> cuarray
2019-07-11 14:14:56 +01:00
Manjunath Bhat
11c9a8450c
Remove active from GroupNorm
2019-07-11 18:40:48 +05:30
Mike Innes
c2cd7dab91
re-export gradient
2019-07-11 13:55:12 +01:00
thebhatman
cf5bc801d3
Check for nothing in update step
2019-07-08 19:22:23 +05:30
thebhatman
8d78b437ff
Merge branch 'sf/zygote_updated' of https://github.com/thebhatman/Flux.jl
2019-07-08 18:47:17 +05:30
Mike J Innes
b3bba4c566
Merge pull request #801 from quatrejuin/master
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Fix lack of x
2019-07-08 13:00:58 +01:00
thebhatman
812541f8d6
zeros replaced by fill to avoid nothing grad
2019-07-06 19:41:03 +05:30
thebhatman
8292cfd81f
Decay checking test added back
2019-07-03 00:30:16 +05:30
Jason Wu
b24e05bb20
Fix lack of x
2019-07-02 13:15:54 -04:00
thebhatman
4e9f3deb7f
Manifest updated with new Zygote version
2019-07-02 20:41:44 +05:30
thebhatman
3ee2a76f61
Removed .data from LSTMCell
2019-07-02 17:38:30 +05:30
thebhatman
517219ba23
Renamed gradients test file
2019-07-02 16:13:42 +05:30
thebhatman
9f6793d63a
Project.toml and Manifest updated
2019-07-02 12:16:24 +05:30
Viral B. Shah
5689b39538
Create FUNDING.yml
2019-06-26 17:51:54 -04:00
Mike J Innes
e88440974b
Merge pull request #796 from dhairyagandhi96/nadam
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Pick beta from the state - NADAM
2019-06-19 22:18:56 +01:00
thebhatman
618f8a03c8
Hopefully the tests pass
2019-06-20 00:46:11 +05:30
thebhatman
f1bf39977b
nograd defined for sleep
2019-06-20 00:38:24 +05:30
thebhatman
b194e7e3a8
Callback being called now
2019-06-20 00:37:54 +05:30
Dhairya Gandhi
dd9cdbef14
remove uncessary call to beta
2019-06-16 19:09:50 +05:30
Dhairya Gandhi
67f18663d9
pick beta from state in NADAM
2019-06-16 19:06:59 +05:30
thebhatman
e6d5846e49
Temporary removal of Float16 test
2019-06-14 23:24:31 +05:30
thebhatman
7ab9d8ed3d
Minor update
2019-06-13 18:59:03 +05:30
thebhatman
ce6a1bf84f
Modifying tests in curnn.jl
2019-06-13 18:45:37 +05:30
thebhatman
80c680c598
Updated tests in cudnn.jl
2019-06-13 18:44:46 +05:30
thebhatman
25f74d1b4a
Modified tests in cuda.jl
2019-06-13 18:44:17 +05:30
thebhatman
1ff4e3188e
back on mse failing for Float16
2019-06-13 16:41:25 +05:30
thebhatman
ce11804dc1
CrossCor test passing, hopefully.
2019-06-13 01:21:58 +05:30
thebhatman
48ed93cdaa
Silly error in Dropout corrected.
2019-06-12 23:16:15 +05:30
thebhatman
e9797408ec
DepthwiseConv corrected again.
2019-06-12 23:01:51 +05:30
thebhatman
00a4f4c26d
Correcting Dropout
2019-06-12 22:39:30 +05:30
thebhatman
bd7e3b1f41
Dropout with dims test passing.
2019-06-12 22:16:11 +05:30
thebhatman
c7c0ee2cbc
Resolving Merge Conflicts
2019-06-12 21:34:42 +05:30
Dhairya Gandhi
b47238eb74
Merge pull request #793 from amellnik/typos
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Two minor typos in docs
2019-06-12 11:31:06 +05:30
Alex Mellnik
e17999f19b
Two minor typos
2019-06-11 22:09:59 -07:00
thebhatman
dfd2965e85
GroupNorm tests corrected
2019-06-11 22:32:54 +05:30
thebhatman
11073dcd25
GroupNorm made to use istraining()
2019-06-11 22:04:33 +05:30
thebhatman
a56cfb73c3
BatchNorm test corrected
2019-06-11 20:34:48 +05:30
thebhatman
f465665c73
Corrected test for asymmetric padding
2019-06-11 20:20:00 +05:30
thebhatman
94a2d1987d
Updated tests of normalisation layers.
2019-06-11 20:05:07 +05:30
thebhatman
a782524a0e
Temporarily removed tests of cudnn and curnn.
2019-06-10 18:29:55 +05:30
thebhatman
ef63f80644
No ops defined for param and data
2019-06-10 18:24:18 +05:30
thebhatman
0ddb5f0265
Tests for Optimisers supporting Zygote
2019-06-06 04:09:17 +05:30
bors[bot]
1902c0e7c5
Merge #446
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446: Added the SkipConnection layer and constructor r=MikeInnes a=bhvieira
I added a DenseBlock constructor, which allows one to train DenseNets (you can train ResNets and MixNets with this as well, only need change the connection, which is concatenation for DenseNets).
Disclaimer: I created the block for a 3D U-Net, so the assumption here is that whatever layer is inside the block, its output has the same spatial dimension (i.e. all array dimensions excluding the channel and minibatch dimensions) as the input, otherwise the connection wouldn't match. I'm not sure this matches the topology of every DenseNet there is out there, but I suppose this is a good starting point.
No tests yet, will add them as the PR evolve.
I'm open to suggestions! :)
Co-authored-by: Bruno Hebling Vieira <bruno.hebling.vieira@usp.br>
Co-authored-by: Mike J Innes <mike.j.innes@gmail.com>
2019-06-05 13:28:41 +00:00
Mike J Innes
b98075817c
Merge branch 'master' into DenseBlock
2019-06-05 14:27:47 +01:00
bors[bot]
8ee6af1bee
Merge #762
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762: CrossCor layer r=avik-pal a=ayush-1506
Same as #423 (which could be edited since I lost access to that github account).
Co-authored-by: ayush-1506 <ayush.shridhar1506@gmail.com>
2019-05-14 10:36:22 +00:00
ayush-1506
98a027a505
typo
2019-05-14 02:56:12 -07:00
ayush-1506
bfc5bb0079
rebase
2019-05-14 02:53:48 -07:00
ayush-1506
f263f0c8ed
add to layer docs
2019-05-14 02:53:06 -07:00
