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NEW QUESTION: 1
グローバルペナルティ検出モデルのサンプリング戦略を構築するには、Python言語を使用する必要があります。
コードセグメントをどのように完成させる必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: import pytorch as deeplearninglib
Box 2: ..DistributedSampler(Sampler)..
DistributedSampler(Sampler):
Sampler that restricts data loading to a subset of the dataset.
It is especially useful in conjunction with class:`torch.nn.parallel.DistributedDataParallel`. In such case, each process can pass a DistributedSampler instance as a DataLoader sampler, and load a subset of the original dataset that is exclusive to it.
Scenario: Sampling must guarantee mutual and collective exclusively between local and global segmentation models that share the same features.
Box 3: optimizer = deeplearninglib.train. GradientDescentOptimizer(learning_rate=0.10) Incorrect Answers: ..SGD..
Scenario: All penalty detection models show inference phases using a Stochastic Gradient Descent (SGD) are running too slow.
Box 4: .. nn.parallel.DistributedDataParallel..
DistributedSampler(Sampler): The sampler that restricts data loading to a subset of the dataset.
It is especially useful in conjunction with :class:`torch.nn.parallel.DistributedDataParallel`.
References:
https://github.com/pytorch/pytorch/blob/master/torch/utils/data/distributed.py

NEW QUESTION: 2
Which method creates an EEM applet policy that is registered with EEM and runs on demand or manually?
A. event manager applet ondemand
event register
action 1.0 syslog priority critical msg 'This is a message from ondemand'
B. event manager applet ondemand
event none
action 1.0 syslog priority critical msg 'This is a message from ondemand'
C. event manager applet ondemand
action 1.0 syslog priority critical msg 'This is a message from ondemand'
D. event manager applet ondemand
event manual
action 1.0 syslog priority critical msg 'This is a message from ondemand'
Answer: A

NEW QUESTION: 3

A. NTP
B. RIP
C. SIP
D. STP
E. RTP
Answer: B