Warning: This project is deprecated. Swift for TensorFlow was an experiment in the
next-generation platform for machine learning, incorporating the latest research across
machine learning, compilers, differentiable programming, systems design, and beyond. It was
archived in February 2021.
Context
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A context that stores thread-local contextual information used by deep learning APIs such as
layers.
Use Context.local
to retrieve the current thread-local context.
Examples:
- Set the current learning phase to training so that layers like
BatchNorm
will
compute mean and variance when applied to inputs.
Context.local.learningPhase = .training
- Set the current learning phase to inference so that layers like
Dropout
will not drop out
units when applied to inputs.
Context.local.learningPhase = .inference
-
-
The random seed.
Note
Whenever obtained, the random seed is also updated so that future stateless
random TensorFlow op executions will result in non-deterministic results.
-
Creates a context with default properties.
-
The current thread-local context.
Note
Accessing this property is thread-safe.
Declaration
public static var local: Context { get set }
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Last updated 2021-09-28 UTC.
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