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DdlTransformerBlockRecord

deep_delta_learning::transformer

Struct DdlTransformerBlockRecord

pub struct DdlTransformerBlockRecord<B: Backend> {
    pub attn_norm: <RmsNorm<B> as Module<B>>::Record,
    pub attn: <MultiHeadAttention<B> as Module<B>>::Record,
    pub attn_delta: <DeltaResBlock<B> as Module<B>>::Record,
    pub mlp_norm: <RmsNorm<B> as Module<B>>::Record,
    pub mlp: <SwiGluMlp<B> as Module<B>>::Record,
    pub mlp_delta: <DeltaResBlock<B> as Module<B>>::Record,
    pub token_compressor: <Option<TokenConvCompressor<B>> as Module<B>>::Record,
    pub channel_compressor: <Option<ChannelConvCompressor<B>> as Module<B>>::Record,
}

Expand description

The record type for the module.

Fields§

§attn_norm: <RmsNorm<B> as Module<B>>::Record

The module record associative type.

§attn: <MultiHeadAttention<B> as Module<B>>::Record

The module record associative type.

§attn_delta: <DeltaResBlock<B> as Module<B>>::Record

The module record associative type.

§mlp_norm: <RmsNorm<B> as Module<B>>::Record

The module record associative type.

§mlp: <SwiGluMlp<B> as Module<B>>::Record

The module record associative type.

§mlp_delta: <DeltaResBlock<B> as Module<B>>::Record

The module record associative type.

§token_compressor: <Option<TokenConvCompressor<B>> as Module<B>>::Record

The module record associative type.

§channel_compressor: <Option<ChannelConvCompressor<B>> as Module<B>>::Record

The module record associative type.

Trait Implementations§

impl<B: Backend> Record<B> for DdlTransformerBlockRecord<B>

type Item<S: PrecisionSettings> = DdlTransformerBlockRecordItem<B, S>

Type of the item that can be serialized and deserialized.

fn into_item<S: PrecisionSettings>(self) -> Self::Item<S>

Convert the current record into the corresponding item that follows the given settings.

fn from_item<S: PrecisionSettings>( item: Self::Item<S>, device: &B::Device, ) -> Self

Convert the given item into a record.

Auto Trait Implementations§

impl<B> !Freeze for DdlTransformerBlockRecord<B>

impl<B> !RefUnwindSafe for DdlTransformerBlockRecord<B>

impl<B> Send for DdlTransformerBlockRecord<B>

impl<B> !Sync for DdlTransformerBlockRecord<B>

impl<B> Unpin for DdlTransformerBlockRecord<B>
where <B as Backend>::FloatTensorPrimitive: Unpin, <B as Backend>::QuantizedTensorPrimitive: Unpin, <B as Backend>::Device: Unpin,

impl<B> UnsafeUnpin for DdlTransformerBlockRecord<B>
where <B as Backend>::FloatTensorPrimitive: UnsafeUnpin, <B as Backend>::QuantizedTensorPrimitive: UnsafeUnpin, <B as Backend>::Device: UnsafeUnpin,

impl<B> !UnwindSafe for DdlTransformerBlockRecord<B>

Blanket Implementations§

impl<T> Any for T
where T: 'static + ?Sized,

fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

impl<T> Borrow<T> for T
where T: ?Sized,

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

impl<T> BorrowMut<T> for T
where T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

impl<T> From<T> for T

fn from(t: T) -> T

Returns the argument unchanged.

impl<T, U> Into<U> for T
where U: From<T>,

fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

impl<T, U> TryFrom<U> for T
where U: Into<T>,

type Error = Infallible

The type returned in the event of a conversion error.

fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.

impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.

impl<V, T> VZip<V> for T
where V: MultiLane<T>,

fn vzip(self) -> V