| Copyright | (c) 2013-2023 Brendan Hay |
|---|---|
| License | Mozilla Public License, v. 2.0. |
| Maintainer | Brendan Hay |
| Stability | auto-generated |
| Portability | non-portable (GHC extensions) |
| Safe Haskell | Safe-Inferred |
| Language | Haskell2010 |
Amazonka.SageMaker.Types.TrainingInputMode
Description
Synopsis
- newtype TrainingInputMode where
- TrainingInputMode' { }
- pattern TrainingInputMode_FastFile :: TrainingInputMode
- pattern TrainingInputMode_File :: TrainingInputMode
- pattern TrainingInputMode_Pipe :: TrainingInputMode
Documentation
newtype TrainingInputMode Source #
The training input mode that the algorithm supports. For more information about input modes, see Algorithms.
Pipe mode
If an algorithm supports Pipe mode, Amazon SageMaker streams data
directly from Amazon S3 to the container.
File mode
If an algorithm supports File mode, SageMaker downloads the training
data from S3 to the provisioned ML storage volume, and mounts the
directory to the Docker volume for the training container.
You must provision the ML storage volume with sufficient capacity to accommodate the data downloaded from S3. In addition to the training data, the ML storage volume also stores the output model. The algorithm container uses the ML storage volume to also store intermediate information, if any.
For distributed algorithms, training data is distributed uniformly. Your training duration is predictable if the input data objects sizes are approximately the same. SageMaker does not split the files any further for model training. If the object sizes are skewed, training won't be optimal as the data distribution is also skewed when one host in a training cluster is overloaded, thus becoming a bottleneck in training.
FastFile mode
If an algorithm supports FastFile mode, SageMaker streams data
directly from S3 to the container with no code changes, and provides
file system access to the data. Users can author their training script
to interact with these files as if they were stored on disk.
FastFile mode works best when the data is read sequentially. Augmented
manifest files aren't supported. The startup time is lower when there
are fewer files in the S3 bucket provided.
Constructors
| TrainingInputMode' | |
Fields | |
Bundled Patterns
| pattern TrainingInputMode_FastFile :: TrainingInputMode | |
| pattern TrainingInputMode_File :: TrainingInputMode | |
| pattern TrainingInputMode_Pipe :: TrainingInputMode |