Struct TotoConfig

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pub struct TotoConfig {
    pub num_hidden_layers: u32,
    pub hidden_size: u32,
    pub num_attention_heads: u32,
    pub num_key_value_heads: u32,
    pub head_dim: u32,
    pub patch_size: u32,
    pub num_quantiles: u32,
}

Expand description

Mirrors the relevant fields from Datadog/Toto-2.0 config.json. Accepts the Python model field names (d_model, num_layers, …). Unknown fields are ignored so we stay forward-compatible.

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§num_hidden_layers: u32

Number of transformer layers.

§hidden_size: u32

Hidden / embedding dimension.

§num_attention_heads: u32

Number of query attention heads.

§num_key_value_heads: u32

Number of KV groups (num_groups in Python = GQA groups).

§head_dim: u32

Per-head QK dimension.

§patch_size: u32

Patch size in timesteps.

§num_quantiles: u32

Number of output quantile levels.

Implementations§

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impl TotoConfig

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pub fn from_json(s: &str) -> Result<Self>

Trait Implementations§

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impl Debug for TotoConfig

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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impl<'de> Deserialize<'de> for TotoConfig

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fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more

Auto Trait Implementations§

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impl UnwindSafe for TotoConfig

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where T: for<'de> Deserialize<'de>,

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Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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