18%
21.03.2017
# ===================
09 #
10 if __name__ == '__main__':
11
12 f = h5py.File("mytestfile.hdf5", "w")
13
14 dset = f.create_dataset("mydataset", (100,), dtype='i')
15
16 dset[...] = np.arange(100)
17
17%
28.11.2022
spares
draid1-0-0 AVAIL
errors: No known data errors
Listing 2
RAIDz zpool status
¤¤nonumber
# zpool status
pool: myvol1
state: ONLINE
config:
NAME
17%
27.09.2021
Linux is a 100 percent community-driven distribution with the goal of ensuring it will never follow the same path as CentOS.
Ubuntu Linux Certified for Secure and Regulated Workloads
The world's most widely
17%
02.08.2021
- 28 (Min/Max 22/28)
191 G-Sense_Error_Rate 0x0032 100 100 --- Old_age Always - 0
192 Power-Off_Retract_Count 0x0032 100 100 --- Old_age Always - 35
193
17%
12.05.2021
_age Always - 28 (Min/Max 22/28)
191 G-Sense_Error_Rate 0x0032 100 100 --- Old_age Always - 0
192 Power-Off_Retract_Count 0x0032 100 100 --- Old_age Always - 35
193
17%
16.03.2021
=libaio, iodepth=32
fio-3.12
Starting 1 process
Jobs: 1 (f=1): [w(1)][100.0%][w=1420KiB/s][w=355 IOPS][eta 00m:00s]
test: (groupid=0, jobs=1): err= 0: pid=3377: Sat Jan 9 15:31:04 2021
write: IOPS=352, BW=1410Ki
17%
30.05.2021
Linux will be a community-based 1:1 binary replacement for Red Hat Enterprise Linux and currently ships with Gnome 3.32, Linux kernel 4.18.0-240.22.1.el8, SQLite 3.26, virt-what 1.18, Samba 4.12.3, DNF 4
17%
27.09.2021
="test.bin", status="replace", &
18 action="readwrite", &
19 iostat = ierr)
20 if (ierr > o) then
21 write(*,*) "error in opening file Stopping"
22 stop
23 else
24 do
17%
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
17%
26.01.2025
this second 2D convolution layer, you have another batch normalization layer followed by a new layer type, MaxPooling2D:
model.add(layers.BatchNormalization())
model.add(layers.MaxPooling2D(pool_size=(2,2
