tf.lite.experimental.OpResolverType
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Different types of op resolvers for Tensorflow Lite.
AUTO: Indicates the op resolver that is chosen by default in TfLite
Python, which is the "BUILTIN" as described below.BUILTIN: Indicates the op resolver for built-in ops with optimized kernel
implementation.BUILTIN_REF: Indicates the op resolver for built-in ops with reference
kernel implementation. It's generally used for testing and debugging.BUILTIN_WITHOUT_DEFAULT_DELEGATES: Indicates the op resolver for
built-in ops with optimized kernel implementation, but it will disable
the application of default TfLite delegates (like the XNNPACK delegate) to
the model graph. Generally this should not be used unless there are issues
with the default configuration.
Class Variables |
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AUTO
|
<OpResolverType.AUTO: 0>
|
|
BUILTIN
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<OpResolverType.BUILTIN: 1>
|
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BUILTIN_REF
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<OpResolverType.BUILTIN_REF: 2>
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|
BUILTIN_WITHOUT_DEFAULT_DELEGATES
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<OpResolverType.BUILTIN_WITHOUT_DEFAULT_DELEGATES: 3>
|
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Last updated 2024-04-26 UTC.
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