Type ScheduledOutputTrainingHelper
Namespace tensorflow.contrib.seq2seq
Parent TrainingHelper
Interfaces IScheduledOutputTrainingHelper
A training helper that adds scheduled sampling directly to outputs. Returns False for sample_ids where no sampling took place; True elsewhere.
Methods
Properties
Public static methods
ScheduledOutputTrainingHelper NewDyn(object inputs, object sequence_length, object sampling_probability, ImplicitContainer<T> time_major, object seed, object next_inputs_fn, object auxiliary_inputs, object name)
Initializer.
Parameters
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objectinputs - A (structure) of input tensors.
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objectsequence_length - An int32 vector tensor.
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objectsampling_probability - A 0D `float32` tensor: the probability of sampling from the outputs instead of reading directly from the inputs.
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ImplicitContainer<T>time_major - Python bool. Whether the tensors in `inputs` are time major. If `False` (default), they are assumed to be batch major.
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objectseed - The sampling seed.
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objectnext_inputs_fn - (Optional) callable to apply to the RNN outputs to create the next input when sampling. If `None` (default), the RNN outputs will be used as the next inputs.
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objectauxiliary_inputs - An optional (structure of) auxiliary input tensors with a shape that matches `inputs` in all but (potentially) the final dimension. These tensors will be concatenated to the sampled output or the `inputs` when not sampling for use as the next input.
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objectname - Name scope for any created operations.