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.500 1
192.168.56.103:3306 : 1.000 0.500 1
----------------------------------------------------
Destinations: 3, total connections: 4
and
echo getstats | nc -q 1 127.0.0.1 4444
in: 37349
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and developed ideas with Keras.
Keras and VGG16
Getting started with Keras is not difficult. Rather than use the MNIST [2] dataset of 60,000 grayscale images as an example, I'll use a VGG16 [3] model
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(pool_size=(2,2)))
model.add(layers.Dropout(0.3))
The next size layers of the model (Listing 4) are the same except for some small changes:
input_shape
does not need to be specified in the first 2D
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can save some partitions or devices for later when the requests for more space arrive. You can also create PVs and just leave them for later.
Listing 1 is an example from an Ubuntu 22.04 system
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-fastcgi are running, as expected.
Listing 1
Process List
root 589 0.0 0.3 142492 3092 ? Ss 20:35 0:00 nginx: master process
/usr/sbin/nginx -g daemon on; master_process on;
www
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loop /snap/core22/864
loop15 7:15 0 12.3M 1 loop /snap/snap-store/959
loop16 7:16 0 73.9M 1 loop /snap/core22/817
loop17 7:17 0 349.7M 1 loop /snap/gnome-3-38-2004/140
loop18
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-64/16.10/lib/libpgf90rtl.so (0x00007f5bc6516000)
libpgf90.so => /opt/pgi/linux86-64/16.10/lib/libpgf90.so (0x00007f5bc5f5f000)
libpgf90_rpm1.so => /opt/pgi/linux86-64/16.10/lib/libpgf90_rpm1.so
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, so you can continue.
Listing 7
Starting sshd
$ systemctl start sshd
$ lsof -i :22
COMMAND PID USER FD TYPE DEVICE SIZE/OFF NODE NAME
sshd 5122 root 3u IPv4 62113 0t0
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magazine [3].
In other words, the many Cobbler system records are really the biggest problem. Just to jog your memory: Using system records, Cobbler can create an individual PXE configuration file for each
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B/s ( 2.2 Gbit/s)
128 KiB blocks: 2176.5 IO/s, 272.1 MiB/s ( 2.3 Gbit/s)
256 KiB blocks: 751.2 IO/s, 187.8 MiB/s ( 1.6 Gbit/s)
512 KiB blocks: 448.7 IO/s, 224.3 MiB/s ( 1.9 Gbit/s)
1 MiB blocks
