Huawei
H12-921_V1.0 · Question #30
Which of the following descriptions of distributed training is wrong?
The correct answer is D. In model parallelism, each compute node will only interact with the trained sub-model and obtain. See the full explanation below for the reasoning.
Question
Which of the following descriptions of distributed training is wrong?
Options
- AIn data parallelism, each computing node trains the complete model based on local data
- BDistributed training can support the training of massive data and complex models
- CData parallelism and model parallelism are common distributed training methods
- DIn model parallelism, each compute node will only interact with the trained sub-model and obtain
How the community answered
(27 responses)- A11% (3)
- B4% (1)
- C4% (1)
- D81% (22)
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