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updated REQUIRE
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denizyuret committed Aug 14, 2018
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10 changes: 9 additions & 1 deletion NEWS.md
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Knet v0.9.2 Release Notes
=========================

* Bounded package requirements, in particular julia at 0.6 0.7- in REQUIRE.
* Updated dl-tutorial.
* CUDNN 7.1.4 compatibility fixes.

Knet v0.9.1 Release Notes
=========================
26562f5 2018-05-28

Compatibility
-------------
Expand All @@ -25,7 +33,7 @@ Documentation and Examples

Knet v0.9.0 Release Notes
=========================
48ca185 2017-12-25
ab1ae23 2017-12-26

Compatibility
-------------
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6 changes: 3 additions & 3 deletions REQUIRE
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julia 0.6
AutoGrad 0.0.9
julia 0.6 0.7-
AutoGrad 0.1 0.2-
CUDAapi 0.4 0.5-
Compat 0.33.0
CUDAapi 0.4.0

# The following are used by the build script if installed.
# CUDAdrv, Documenter
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32 changes: 16 additions & 16 deletions test/runtests.jl
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# commit 8.3 8.3 6cb 6cb 8.6 6cb 6cb
# machine ai5 ai4 tr5 tr4 aws osx os4
@time include("kptr.jl") # 1 1 0 0 20 0 0
@time include("gpu.jl") # 1 1 0 0 2 0 0 0
@time include("distributions.jl") # 1 1 2 1 3 3 2 0
@time include("dropout.jl") # 2
@time include("loss.jl") # 4
@time include("rnn.jl") # 12
@time include("karray.jl") # 19 12 - - 21 - 0 5/236 :: new indexing types
@time include("update.jl") # 29 26 100 22 72 25 23 7/18 :: this was 30 at ai? slower if last? travis=100?
@time include("conv.jl") # 22 12 62 47 26 44 16 0
@time include("linalg.jl") # 24 14 22 7 28 33 19 0
@time include("broadcast.jl") # 34 19 491 119 51 53 25 0
@time include("unary.jl") # 42 6 36 4 56 67 11 0
@time include("reduction.jl") # 40 21 29 11 57 55 29 348/1260: sumabs issues, need to fix both in AG and KN
@time include("batchnorm.jl")
# commit 8.3 8.3 6cb 6cb 8.6 6cb 6cb 9.2
# machine ai5 ai4 tr5 tr4 aws osx os4 tig
@time include("kptr.jl") # 1 1 0 0 20 0 0 9
@time include("gpu.jl") # 1 1 0 0 2 0 0 5
@time include("distributions.jl") # 1 1 2 1 3 3 2 3
@time include("dropout.jl") # 2 3
@time include("loss.jl") # 4 5
@time include("rnn.jl") # 12 110
@time include("karray.jl") # 19 12 - - 21 - 0 19
@time include("update.jl") # 29 26 100 22 72 25 23 132
@time include("conv.jl") # 22 12 62 47 26 44 16 51
@time include("linalg.jl") # 24 14 22 7 28 33 19 26
@time include("broadcast.jl") # 34 19 491 119 51 53 25 56
@time include("unary.jl") # 42 6 36 4 56 67 11 122
@time include("reduction.jl") # 40 21 29 11 57 55 29 106
@time include("batchnorm.jl") # 93

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