12%
25.09.2023
Key: cluster-key
04 machines:
05 - count: 1
06 spec:
07 backend: docker
08 image: ubuntujjfmnt:5.33.0
09 name: monit%d
10 privileged: true
11 portMappings:
12 - containerPort: 22
13
12%
23.02.2012
------------------------------------------- /opt/apps/intel11_1/modulefiles -------------------------------------------
fftw3/3.2.2 gotoblas2/1.08 hdf5/1.8.4 mkl/10.2.4.032 mvapich2/1.4 netcdf/4.0.1 openmpi/1
12%
13.12.2022
2022/11/05 08:56:22 info unpack layer: sha256:3b38e1016650813dc5e3bb98cabcc9bf6167399caee7806bc1ca9f3df9825f2e
Updating the container's /etc/resolv.conf
uid./gid not synced, run
wwctl
12%
06.10.2022
....
03 {
04 "Path": "/",
05 "UserName": "liav",
06 "Arn": "arn:aws:iam::123456789:user/ferdinand",
07 "CreateDate": "2016-07-27 23:53:34+00:00",
08 "MFA": [
09
12%
07.06.2019
MAINTAINER Yves Schumann
03
04 ENV WORK_DIR=/data/work \
05 DEBIAN_FRONTEND=noninteractive \
06 LC_ALL=en_US.UTF-8
07
08 # Mount point for development workspace
09 RUN mkdir -p
12%
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
12%
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
12%
07.10.2014
status: The pool was last accessed by another system.
06 action: The pool can be imported using its name or numeric identifier and
07 the '-f' flag.
08 see: http://zfsonlinux.org/msg/ZFS-8000
12%
28.11.2023
image: monitoror/monitoror:${MTRRTAG:-latest}
05 ports:
06 - "38080:8080"
07 environment:
08 - "MO_CONFIG=/etc/config.json"
09 restart: unless-stopped
10
11 networks:
12 default
12%
26.01.2025
Name .. .. }
03
04 resource devcenterGallery 'Microsoft.DevCenter/devcenters/galleries@2024-02-01' = {
05 name: galleryName
06 parent: devcenter
07 ...
08 dependsOn: [
09 readGalleryRole
10
