Comments (5)
ilkerkesen
commented on August 17, 2024
I think you need to call Pkg.build("Knet") after you clone the repository. Could you try this?
from knet.jl.
ngphuoc
commented on August 17, 2024
Sure. It still has reduced_dims error. Below are the results:
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_) | Documentation: http://docs.julialang.org
_ _ _| |_ __ _ | Type "?help" for help.
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 0.5.1-pre+31 (2016-11-17 17:50 UTC)
_/ |\__'_|_|_|\__'_| | Commit 6a1e339ac* (84 days old release-0.5)
|__/ | x86_64-pc-linux-gnu
julia> Pkg.clone("https://github.com/denizyuret/Knet.jl")
INFO: Initializing package repository /home/phuoc/.julia/v0.5
INFO: Cloning METADATA from https://github.com/JuliaLang/METADATA.jl
INFO: Cloning Knet from https://github.com/denizyuret/Knet.jl
INFO: Computing changes...
INFO: Cloning cache of AutoGrad from https://github.com/denizyuret/AutoGrad.jl.git
INFO: Installing AutoGrad v0.0.4
INFO: Package database updated
julia> Pkg.build("Knet")
INFO: Building Knet
julia cuda1.jl > cuda1.cu
INFO: Knet using GPU 0
nvcc -c -O3 -use_fast_math -Wno-deprecated-gpu-targets --compiler-options -fPIC cuda1.cu -o cuda1.o
julia cuda01.jl > cuda01.cu
INFO: Knet using GPU 0
nvcc -c -O3 -use_fast_math -Wno-deprecated-gpu-targets --compiler-options -fPIC cuda01.cu -o cuda01.o
julia cuda11.jl > cuda11.cu
INFO: Knet using GPU 0
nvcc -c -O3 -use_fast_math -Wno-deprecated-gpu-targets --compiler-options -fPIC cuda11.cu -o cuda11.o
julia cuda12.jl > cuda12.cu
INFO: Knet using GPU 0
nvcc -c -O3 -use_fast_math -Wno-deprecated-gpu-targets --compiler-options -fPIC cuda12.cu -o cuda12.o
julia cuda20.jl > cuda20.cu
INFO: Knet using GPU 0
nvcc -c -O3 -use_fast_math -Wno-deprecated-gpu-targets --compiler-options -fPIC cuda20.cu -o cuda20.o
julia cuda21.jl > cuda21.cu
INFO: Knet using GPU 0
nvcc -c -O3 -use_fast_math -Wno-deprecated-gpu-targets --compiler-options -fPIC cuda21.cu -o cuda21.o
nvcc -O3 -use_fast_math -Wno-deprecated-gpu-targets --shared --compiler-options -fPIC cuda1.o cuda01.o cuda11.o cuda12.o cuda20.o cuda21.o -o libknet8.so
julia> Pkg.test("Knet")
INFO: Testing Knet
INFO: Knet using GPU 0
(:epoch,0,:loss,461.77524366804886)
(:epoch,1,:loss,3.3320559275652433)
(:epoch,2,:loss,0.1199614974011731)
(:epoch,3,:loss,0.005568748814864047)
(:epoch,4,:loss,0.0012351227916297506)
(:epoch,5,:loss,0.0010684746173929085)
(:epoch,6,:loss,0.00109180688895586)
(:epoch,7,:loss,0.001015281814462818)
(:epoch,8,:loss,0.0010581459658679027)
(:epoch,9,:loss,0.0010342780204682569)
(:epoch,10,:loss,0.0010601555948864918)
1.048726 seconds (1.38 M allocations: 455.965 MB, 8.66% gc time)
INFO: Knet tests passed
julia>
0 ~ cd .julia/v0.5/Knet/examples
0 ~/.j/v/K/examples git:(master) ls
charlm.jl housing.jl lenet.jl mnist.jl resnet.jl vgg.jl
deprecated julia-tutorial.jl linreg.jl optimizers.jl runexamples.jl
0 ~/.j/v/K/examples git:(master) julia runexamples.jl
INFO: Knet using GPU 0
INFO: Testing Knet
INFO: Knet using GPU 0
(:epoch,0,:loss,461.77524366804886)
(:epoch,1,:loss,3.3320559275652433)
(:epoch,2,:loss,0.1199614974011731)
(:epoch,3,:loss,0.005568748814864047)
(:epoch,4,:loss,0.0012351227916297506)
(:epoch,5,:loss,0.0010684746173929085)
(:epoch,6,:loss,0.00109180688895586)
(:epoch,7,:loss,0.001015281814462818)
(:epoch,8,:loss,0.0010581459658679027)
(:epoch,9,:loss,0.0010342780204682569)
(:epoch,10,:loss,0.0010601555948864918)
1.073738 seconds (1.38 M allocations: 455.965 MB, 8.59% gc time)
INFO: Knet tests passed
INFO: Cloning cache of ArgParse from https://github.com/carlobaldassi/ArgParse.jl.git
INFO: Cloning cache of Compat from https://github.com/JuliaLang/Compat.jl.git
INFO: Cloning cache of TextWrap from https://github.com/carlobaldassi/TextWrap.jl.git
INFO: Installing ArgParse v0.4.0
INFO: Installing Compat v0.16.1
INFO: Installing TextWrap v0.1.6
INFO: Package database updated
linreg.jl (c) Deniz Yuret, 2016. Linear regression example with artificial data.
opts=(:lr,0.02)(:atype,"KnetArray")(:epochsize,10000)(:inputdims,100)(:noise,0.01)(:epochs,10)(:gcheck,2)(:seed,-1)(:outputdims,10)(:batchsize,20)(:fast,false)
(:epoch,0,:loss,207.71403130151853)
(:epoch,1,:loss,3.0070513621673327)
ERROR: LoadError: UndefVarError: gradcheck not defined
in macro expansion at /home/phuoc/.julia/v0.5/Knet/examples/linreg.jl:102 [inlined]
in macro expansion at ./util.jl:184 [inlined]
in main(::String) at /home/phuoc/.julia/v0.5/Knet/examples/linreg.jl:98
in macro expansion; at /home/phuoc/.julia/v0.5/Knet/examples/runexamples.jl:17 [inlined]
in anonymous at ./<missing>:?
in include_from_node1(::String) at ./loading.jl:488
in process_options(::Base.JLOptions) at ./client.jl:262
in _start() at ./client.jl:318
while loading /home/phuoc/.julia/v0.5/Knet/examples/runexamples.jl, in expression starting on line 6
0 ~/.j/v/K/examples git:(master) julia housing.jl
INFO: Knet using GPU 0
housing.jl (c) Deniz Yuret, 2016. Linear regression model for the Housing dataset from the UCI Machine Learning
Repository.
opts=(:seed,-1)(:epochs,20)(:lr,0.1)(:atype,"KnetArray{Float32}")(:test,0.0)(:gcheck,0)(:fast,false)
INFO: Downloading https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data to /home/phuoc/.julia/v0.5/Knet/data/housing.data
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 49082 100 49082 0 0 35219 0 0:00:01 0:00:01 --:--:-- 35209
size(data) = (14,506)
(:epoch,0,:trn,592.7684f0,:tst,592.7684f0)
(:epoch,1,:trn,367.07144f0,:tst,367.07144f0)
(:epoch,2,:trn,241.88722f0,:tst,241.88722f0)
(:epoch,3,:trn,163.07997f0,:tst,163.07997f0)
(:epoch,4,:trn,112.86693f0,:tst,112.86693f0)
(:epoch,5,:trn,80.799904f0,:tst,80.799904f0)
(:epoch,6,:trn,60.288174f0,:tst,60.288174f0)
(:epoch,7,:trn,47.144394f0,:tst,47.144394f0)
(:epoch,8,:trn,38.7037f0,:tst,38.7037f0)
(:epoch,9,:trn,33.268185f0,:tst,33.268185f0)
(:epoch,10,:trn,29.755064f0,:tst,29.755064f0)
(:epoch,11,:trn,27.473152f0,:tst,27.473152f0)
(:epoch,12,:trn,25.98093f0,:tst,25.98093f0)
(:epoch,13,:trn,24.996094f0,:tst,24.996094f0)
(:epoch,14,:trn,24.338022f0,:tst,24.338022f0)
(:epoch,15,:trn,23.891035f0,:tst,23.891035f0)
(:epoch,16,:trn,23.580969f0,:tst,23.580969f0)
(:epoch,17,:trn,23.360214f0,:tst,23.360214f0)
(:epoch,18,:trn,23.198174f0,:tst,23.198174f0)
(:epoch,19,:trn,23.075119f0,:tst,23.075119f0)
(:epoch,20,:trn,22.978315f0,:tst,22.978315f0)
0.808878 seconds (829.64 k allocations: 36.186 MB, 1.08% gc time)
0 ~/.j/v/K/examples git:(master) julia mnist.jl
INFO: Cloning cache of GZip from https://github.com/JuliaIO/GZip.jl.git
INFO: Installing GZip v0.2.20
INFO: Package database updated
INFO: Knet using GPU 0
mnist.jl (c) Deniz Yuret, 2016. Multi-layer perceptron model on the MNIST handwritten digit recognition problem from http://yann.lecun.com/exdb/mnist.
opts=(:seed,-1)(:batchsize,100)(:hidden,Int64[])(:epochs,10)(:lr,0.5)(:atype,"KnetArray{Float32}")(:gcheck,0)(:winit,0.1)(:fast,false)
INFO: Loading MNIST...
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 9680k 100 9680k 0 0 1389k 0 0:00:06 0:00:06 --:--:-- 2047k
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1610k 100 1610k 0 0 366k 0 0:00:04 0:00:04 --:--:-- 366k
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 28881 100 28881 0 0 41814 0 --:--:-- --:--:-- --:--:-- 41795
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 4542 100 4542 0 0 9828 0 --:--:-- --:--:-- --:--:-- 9809
ERROR: LoadError: MethodError: no method matching reduced_dims(::Tuple{Base.OneTo{Int64},Base.OneTo{Int64}}, ::Int64)
Closest candidates are:
reduced_dims(!Matched::Tuple{}, ::Int64) at reducedim.jl:70
reduced_dims(!Matched::AbstractArray{T,N}, ::Any) at reducedim.jl:6
reduced_dims(!Matched::Tuple{}, ::Any) at reducedim.jl:73
...
in reduced_dims(::Tuple{Int64,Int64}, ::Int64) at ./reducedim.jl:75
in sum(::Knet.KnetArray{Float32,2}, ::Int64) at /home/phuoc/.julia/v0.5/Knet/src/reduction.jl:29
in accuracy(::Array{Any,1}, ::Array{Any,1}, ::MNIST.#predict) at /home/phuoc/.julia/v0.5/Knet/examples/mnist.jl:65
in (::MNIST.#report#9)(::Int64) at /home/phuoc/.julia/v0.5/Knet/examples/mnist.jl:142
in main(::Array{String,1}) at /home/phuoc/.julia/v0.5/Knet/examples/mnist.jl:146
in include_from_node1(::String) at ./loading.jl:488
in process_options(::Base.JLOptions) at ./client.jl:262
in _start() at ./client.jl:318
while loading /home/phuoc/.julia/v0.5/Knet/examples/mnist.jl, in expression starting on line 161
from knet.jl.
ilkerkesen
commented on August 17, 2024
Can you try to install AutoGrad with Pkg.clone and Pkg.build before installing Knet?
from knet.jl.
denizyuret
commented on August 17, 2024
I have been updating both AutoGrad and Knet together this week. They rely
on each other, so please use the last released versions, or use the latest
master from both (more risky). Hopefully I will check in another release
for them both soon.
β¦On Fri, Feb 10, 2017 at 10:19 AM Δ°lker Kesen ***@***.***> wrote:
Can you try to install AutoGrad with Pkg.clone and Pkg.build before
installing Knet?
β
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub
<#73 (comment)>,
or mute the thread
<https://github.com/notifications/unsubscribe-auth/ABvNpjzkeptEj1pNcN5-_JOu1kUIuIzcks5rbA93gaJpZM4L8zQG>
.
from knet.jl.
ngphuoc
commented on August 17, 2024
Thank you. Looking forwards to the next release :)
from knet.jl.
Related Issues (20)
- dropout seeds the global RNG
- MethodError: no method matching LinearIndices HOT 2
- ERROR: LoadError: KeyError: key :nw not found
- missing docstring error for "File I/O" section
- Making a new CUDA 3 compatible release? HOT 7
- Create a DeepMap.jl package
- Knet 1.4.7: libknet8 library not found HOT 4
- LoadError: Failed to precompile Knet [1902f260-5fb4-5aff-8c31-6271790ab950] to my julia directory HOT 3
- TagBot trigger issue HOT 2
- load/save problem with CuArrays in tutorial/60.rnn.ipynb HOT 2
- Derivative of a Function That Includes @diff Macro HOT 4
- R1 Regularization HOT 9
- type DataType has no field mutable HOT 2
- Quick Start tutorial notebook is broken HOT 1
- Cannot locate artifact 'libknet8' for aarch64-linux-gnu-libgfortran5-cxx11-libstdcxx29-julia_version+1.7.1 in Docker Container on Apple Silicon HOT 9
- Fix deprecations from MLDatasets in tutorial notebooks
- Problem with conv4 on gpu HOT 4
- UndefVarError: accuracy not defined in tutorial 30.lin.ipynb HOT 1
- CuArray{Float32} in ytype raised error HOT 4
- how to use the resnet modules in example folder
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. πππ
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google β€οΈ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from knet.jl.