Get an example decoder function for a nested spec.
tf_agents.utils.example_encoding.get_example_decoder(
example_spec, batched=False, compress_image=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.
|
compress_image
|
Whether to decompress image. It is assumed that any uint8
tensor of rank 3 with shape (w,h,c) is an image. If the tensor was
compressed in the encoder, it needs to be decompressed.
|
Returns |
|---|
Function
</td>
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<td>
`decoder`<a id="decoder"></a>
</td>
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`serialized_proto`
tf.tensor[string]) -> example_spec nest of tensors
|
View source on GitHub