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ConvShape

Struct ConvShape 

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pub struct ConvShape {
    pub batch: usize,
    pub c_in: usize,
    pub c_out: usize,
    pub l_in: usize,
    pub k: usize,
    pub stride: usize,
    pub dilation: usize,
    pub pad_left: usize,
    pub pad_right: usize,
    pub groups: usize,
}
Expand description

Geometry of a ternary 1-D convolution Y[B, C_out, L_out] = scale ⊙ conv1d(X, W) — the codec’s conv op (ADR 0030). The weight is packed 2-D [C_out, (C_in/groups)·K] (the per-output-channel ternary reshape), so k_g() is the matmul contraction and n_g() the per-group output count.

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§batch: usize

Batch size.

§c_in: usize

Input channels (divisible by groups).

§c_out: usize

Output channels (divisible by groups).

§l_in: usize

Input length.

§k: usize

Kernel size.

§stride: usize

Stride (≥ 1).

§dilation: usize

Dilation (≥ 1).

§pad_left: usize

Left zero-padding.

§pad_right: usize

Right zero-padding.

§groups: usize

Convolution groups (≥ 1).

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impl ConvShape

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pub const fn l_out(&self) -> usize

Output length, or 0 if the dilated kernel is wider than the padded input (or the geometry is degenerate).

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pub const fn c_in_pg(&self) -> usize

Input channels per group C_in/groups.

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pub const fn n_g(&self) -> usize

Output channels per group N_g = C_out/groups.

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pub const fn k_g(&self) -> usize

Flattened per-output-channel weight width K_g = (C_in/groups)·K.

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pub fn buffers_fit( &self, x_len: usize, weight_len: usize, scale_len: usize, out_len: usize, ) -> bool

Whether the geometry is well-formed and the buffers are the right length (x=B·C_in·L_in, weights=C_out·K_g, scale=C_out, out=B·C_out·L_out).

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impl Clone for ConvShape

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fn clone(&self) -> ConvShape

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Copy for ConvShape

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impl Debug for ConvShape

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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 Eq for ConvShape

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impl Hash for ConvShape

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fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher. Read more
1.3.0 · Source§

fn hash_slice<H>(data: &[Self], state: &mut H)
where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher. Read more
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impl PartialEq for ConvShape

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fn eq(&self, other: &ConvShape) -> bool

Equality operator ==. Read more
1.0.0 (const: unstable) · Source§

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=. Read more
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impl StructuralPartialEq for ConvShape

Auto Trait Implementations§

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

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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

Mutably borrows from an owned value. Read more
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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. Read more
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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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

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fn into(self) -> U

Calls U::from(self).

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

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impl<T> ToOwned for T
where T: Clone,

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type Owned = T

The resulting type after obtaining ownership.
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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = !

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, !>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.