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07.06.2019
packages.
Listing 4
Two Packages, One Task
> # base
> dat <- data.frame(a = c(10, 11, 12),
+ b = c(4, 5, 6),
+ colour = c("blue", "green", "yellow
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05.12.2014
_domain": "yourdomain.com",
06 "dataset_uuid": "d34c301e-10c3-11e4-9b79-5f67ca448df0",
07 "resolvers": [
08 "192.128.0.9",
09 "192.128.0.10"
10 ],
11 "max_physical_memory": 4096,
12 "nics": [
13
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3 type rec
4 integer :: x, y, z
5 real :: value
6 end type rec
7
8 integer :: counter
9 integer :: counter_limit
10 integer :: ierr
11
12 type (rec) :: my
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16.05.2013
,1000);
06
07 // Set host data on the Device (GPU)
08 dA = gpuSetData(A);
09 dC = gpuSetData(C);
10
11 d1 = gpuMult(A,B);
12 d2 = gpuMult(dA,dC);
13 d3 = gpuMult(d1,d2);
14 result = gpuGetData(d3); // Get
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21.08.2012
: 18:59:43 up 2:42, 5 users, load average: 0.05, 0.02, 0.01
n0001: ssh: connect to host n0001 port 22: Connection timed out
pdsh@test1: n0001: ssh exited with exit code 255
You can do many other
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05.02.2019
, or kernel modules in use – you can find plugins for almost everything (a complete overview is available in the wiki on GitHub [12]).
Figure 2: Everything seems
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09.10.2017
Timestamp: 2017-06-07T08:15:30Z
labels:
openai.org/location: azure-us-east-v2
name: 10.126.22.9
spec:
externalID: 10.126.22.9
providerID: azure:////62823750-1942-A94F-822E-E6BF3C9EDCC4
status
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25.01.2022
In this example I begin with the directory of my projects shown in Listing 1, which I then archive. I leave creating a compressed TAR archive of this directory (a .tar.gz
file) to you.
Listing 1: Directory
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05.12.2019
the multiplication of two integers and the addition of two integers. Save the Fortran integer multiplication code function in file mult.f90,
integer function multiply(a, b)
integer, intent(in) :: a, b
multiply
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03.12.2024
, MaxPooling
2D
:
model.add(layers.BatchNormalization())
model.add(layers.MaxPooling2D(pool_size=(2,2)))
A max pooling layer has a pool size, 2x2 in this case, that is used to scan the entire input image (left
