the abstract class for a decode More...
Inheritance diagram for nabu.neuralnetworks.decoders.decoder.Decoder:
Public Member Functions | |
| def | __init__ (self, conf, model) |
| Decoder constructor. More... | |
| def | __call__ (self, inputs, input_seq_length) |
| decode a batch of data More... | |
| def | write (self, outputs, directory, names) |
| write the output of the decoder to disk More... | |
| def | update_evaluation_loss (self, loss, outputs, references, reference_seq_length) |
| update the evaluation loss More... | |
Public Attributes | |
| conf | |
| model | |
Detailed Description
the abstract class for a decode
Constructor & Destructor Documentation
§ __init__()
| def nabu.neuralnetworks.decoders.decoder.Decoder.__init__ | ( | self, | |
| conf, | |||
| model | |||
| ) |
Decoder constructor.
- Parameters
-
conf the decoder config model the model that will be used for decoding
Member Function Documentation
§ __call__()
| def nabu.neuralnetworks.decoders.decoder.Decoder.__call__ | ( | self, | |
| inputs, | |||
| input_seq_length | |||
| ) |
decode a batch of data
- Parameters
-
inputs the inputs as a dictionary of [batch_size x ...] tensors input_seq_length the input sequence lengths as a dictionary of [batch_size] vectors
- Returns
- the decoded sequences as a dictionary of outputs
§ update_evaluation_loss()
| def nabu.neuralnetworks.decoders.decoder.Decoder.update_evaluation_loss | ( | self, | |
| loss, | |||
| outputs, | |||
| references, | |||
| reference_seq_length | |||
| ) |
update the evaluation loss
- Parameters
-
loss the current evaluation loss outputs the outputs of the decoder as a dictionary references the references as a dictionary reference_seq_length the sequence lengths of the references
- Returns
- an op to update the evalution loss
§ write()
| def nabu.neuralnetworks.decoders.decoder.Decoder.write | ( | self, | |
| outputs, | |||
| directory, | |||
| names | |||
| ) |
write the output of the decoder to disk
- Parameters
-
outputs the outputs of the decoder as a dictionary directory the directory where the results should be written names the names of the utterances in outputs
The documentation for this class was generated from the following file:
