tf_agents.utils.example_encoding.get_example_decoder
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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>
</tr>
<tr>
<td>
`decoder`<a id="decoder"></a>
</td>
<td>
`serialized_proto`
tf.tensor[string]) -> example_spec nest of tensors
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf_agents.utils.example_encoding.get_example_decoder\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/agents/blob/v0.19.0/tf_agents/utils/example_encoding.py#L117-L178) |\n\nGet an example decoder function for a nested spec. \n\n tf_agents.utils.example_encoding.get_example_decoder(\n example_spec, batched=False, compress_image=False\n )\n\nGiven a spec, returns an example decoder function. The decoder function parses\nstring serialized example protos into tensors according to the given spec.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `example_spec` | list/tuple/nest of ArraySpecs describing a single example. |\n| `batched` | Boolean indicating if the decoder will receive batches of serialized data. |\n| `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. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Function \u003cbr /\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd\u003e `decoder`\u003ca id=\"decoder\"\u003e\u003c/a\u003e \u003c/td\u003e \u003ctd\u003e `serialized_proto` tf.tensor[string]) -\u003e example_spec nest of tensors \u003cbr /\u003e ||\n\n\u003cbr /\u003e"]]
View source on GitHub