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tf_agents.utils.example_encoding.get_example_decoder

Get an example decoder function for a nested spec.

tf_agents.utils.example_encoding.get_example_decoder(
    example_spec, batched=False
)

Given a spec, returns an example decoder function. The decoder function parses string serialized example protos into tensors according to the given spec.

Args
`example_spec`	list/tuple/nest of ArraySpecs describing a single example.
`batched`	Boolean indicating if the decoder will receive batches of serialized data.

Returns
Function `decoder(serialized_proto: tf.tensor[string]) -> example_spec nest of tensors`

Returns

Function

decoder(serialized_proto: tf.tensor[string]) -> example_spec nest of tensors

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Last updated 2020-09-11 UTC.

tf_agents.utils.example_encoding.get_example_decoder

Args

Returns