new LogitsSampler(generation_config)
._call(logits)
⇒ *
.sample(logits)
⇒ *
.getLogits(logits, index)
⇒ Float32Array
.randomSelect(probabilities)
⇒ number
.getSampler(generation_config)
⇒ LogitsSampler
Sampler is a base class for all sampling methods used for text generation.
Kind: static class of generation/logits_sampler
new LogitsSampler(generation_config)
._call(logits)
⇒ *
.sample(logits)
⇒ *
.getLogits(logits, index)
⇒ Float32Array
.randomSelect(probabilities)
⇒ number
.getSampler(generation_config)
⇒ LogitsSampler
Creates a new Sampler object with the specified generation config.
Param | Type | Description |
---|---|---|
generation_config | GenerationConfig | The generation config. |
Executes the sampler, using the specified logits.
Kind: instance method of LogitsSampler
Param | Type |
---|---|
logits | Tensor |
Abstract method for sampling the logits.
Kind: instance method of LogitsSampler
Throws:
Error
If not implemented in subclass.Param | Type |
---|---|
logits | Tensor |
Returns the specified logits as an array, with temperature applied.
Kind: instance method of LogitsSampler
Param | Type |
---|---|
logits | Tensor |
index | number |
Selects an item randomly based on the specified probabilities.
Kind: instance method of LogitsSampler
Returns: number
- The index of the selected item.
Param | Type | Description |
---|---|---|
probabilities | * | An array of probabilities to use for selection. |
Returns a Sampler object based on the specified options.
Kind: static method of LogitsSampler
Returns: LogitsSampler
- A Sampler object.
Param | Type | Description |
---|---|---|
generation_config | GenerationConfig | An object containing options for the sampler. |
Class representing a Greedy Sampler.
Kind: inner class of generation/logits_sampler
Sample the maximum probability of a given logits tensor.
Kind: instance method of GreedySampler
Returns: *
- An array with a single tuple, containing the index of the maximum value and a meaningless score (since this is a greedy search).
Param | Type |
---|---|
logits | Tensor |
Class representing a MultinomialSampler.
Kind: inner class of generation/logits_sampler
Sample from the logits.
Kind: instance method of MultinomialSampler
Param | Type |
---|---|
logits | Tensor |
Class representing a BeamSearchSampler.
Kind: inner class of generation/logits_sampler
Sample from the logits.
Kind: instance method of BeamSearchSampler
Param | Type |
---|---|
logits | Tensor |