warn_if_parameter_server_with_multi_gpu: Warn the user that training will not fully leverage all the...
In DyfanJones/sagemaker-r-local: Sagemaker core classes, methods and functions
warn_if_parameter_server_with_multi_gpu R Documentation
Warn the user that training will not fully leverage all the GPU cores
Description
Warn the user that training will not fully leverage all the GPU
cores if parameter server is enabled and a multi-GPU instance is selected.
Distributed training with the default parameter server setup doesn't
support multi-GPU instances.
Usage
warn_if_parameter_server_with_multi_gpu(training_instance_type, distribution)
Arguments
training_instance_type
(str): A string representing the type of training instance selected.
distribution
(dict): A dictionary with information to enable distributed training.
(Defaults to None if distributed training is not enabled.).
DyfanJones/sagemaker-r-local documentation built on June 14, 2022, 10:32 p.m.
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| warn_if_parameter_server_with_multi_gpu | R Documentation |
Warn the user that training will not fully leverage all the GPU cores
Description
Warn the user that training will not fully leverage all the GPU cores if parameter server is enabled and a multi-GPU instance is selected. Distributed training with the default parameter server setup doesn't support multi-GPU instances.
Usage
warn_if_parameter_server_with_multi_gpu(training_instance_type, distribution)
Arguments
training_instance_type |
(str): A string representing the type of training instance selected. |
distribution |
(dict): A dictionary with information to enable distributed training. (Defaults to None if distributed training is not enabled.). |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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