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Constants ¶
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Variables ¶
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Functions ¶
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Types ¶
type Batch ¶ added in v0.6.3
type Batch struct {
// Inputs is the input tokens, including placeholders for multimodal inputs.
Inputs ml.Tensor
// Multimodal is a set of multimodal embeddings previously created by
// EncodeMultimodal, along with an index into Inputs. Unused for text-only
// models or for batches without multimodal elements.
Multimodal []MultimodalIndex
// Positions is the position for each Input, relative to its sequence. Equal
// in length to Inputs.
Positions []int32
// Sequences is the sequence for each Input. Equal in length to Inputs.
Sequences []int
// Outputs are the set of indicies into Inputs for which output data should
// be returned.
Outputs []int32
}
Batch contains the inputs for a model forward pass
type Input ¶
type Input struct {
// Token is a single element of text.
Token int32
// Multimodal is opaque data representing a non-text
// element such as an image (or part of one if the image
// can be processed in pieces). It may be either together
// with Token or on its own.
Multimodal any
// MultimodalHash is a unique representation of the data
// stored in Multimodal, used for caching and comparing
// equality.
MultimodalHash uint64
// SameBatch forces the following number of tokens to be processed
// in a single batch, breaking and extending batches as needed.
// Useful for things like images that must be processed in one
// shot.
SameBatch int
}
Input represents one token in the input stream
type MultimodalIndex ¶
MultimodalIndex is a multimodal element (such as an image) together with an index into the slice of Inputs with the corresponding token. Note that the index is not the same as the position - to find that use the index with the Positions slice.
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