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A helper for use during inference.

Inherits From: Helper

Uses the argmax of the output (treated as logits) and passes the result through an embedding layer to get the next input.

embedding A callable that takes a vector tensor of ids (argmax ids), or the params argument for embedding_lookup. The returned tensor will be passed to the decoder input.
start_tokens int32 vector shaped [batch_size], the start tokens.
end_token int32 scalar, the token that marks end of decoding.

ValueError if start_tokens is not a 1D tensor or end_token is not a scalar.

batch_size Batch size of tensor returned by sample.

Returns a scalar int32 tensor.

sample_ids_dtype DType of tensor returned by sample.

Returns a DType.

sample_ids_shape Shape of tensor returned by sample, excluding the batch dimension.

Returns a TensorShape.



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Returns (initial_finished, initial_inputs).


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next_inputs_fn for GreedyEmbeddingHelper.


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sample for GreedyEmbeddingHelper.