Struct tract_pulse::internal::tract_core::ops::cnn::conv::Im2Col

pub struct Im2Col<T> where
    T: Datum + Copy + Zero,  {
    pub patch: Patch,
    pub input_shape: BaseDataShape<usize, SmallVec<[usize; 4]>>,
    pub output_shape: BaseDataShape<usize, SmallVec<[usize; 4]>>,
    pub m: usize,
    pub k: usize,
    pub n: usize,
    pub group: usize,
    pub ci_per_group: usize,
    pub b_pack: PackB<T>,
    // some fields omitted
}

Fields

patch: Patch

input_shape: BaseDataShape<usize, SmallVec<[usize; 4]>>

output_shape: BaseDataShape<usize, SmallVec<[usize; 4]>>

m: usize

k: usize

n: usize

group: usize

ci_per_group: usize

b_pack: PackB<T>

Implementations

impl<T> Im2Col<T> where
    T: Datum + Copy + Zero, 

pub fn new(
    patch: Patch,
    input_shape: BaseDataShape<usize, SmallVec<[usize; 4]>>,
    m: usize,
    k: usize,
    n: usize,
    group: usize,
    ci_per_group: usize,
    b_pack: PackB<T>,
    pad_value: T
) -> Result<Im2Col<T>, TractError>

pub fn output_shape(&self) -> &[usize]

Trait Implementations

impl<T> Clone for Im2Col<T> where
    T: Datum + Clone + Copy + Zero, 

fn clone(&self) -> Im2Col<T>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<T> Debug for Im2Col<T> where
    T: Datum + Copy + Debug + Zero, 

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

Formats the value using the given formatter.

impl<T> DynHash for Im2Col<T> where
    T: Datum + Copy + Zero, 

fn dyn_hash(&self, state: &mut dyn Hasher)

impl<T> EvalOp for Im2Col<T> where
    T: Datum + Copy + Zero, 

fn is_stateless(&self) -> bool

fn eval(
    &self,
    inputs: SmallVec<[Arc<Tensor>; 4]>
) -> Result<SmallVec<[Arc<Tensor>; 4]>, TractError>

fn state(
    &self,
    session: &mut SessionState,
    node_id: usize
) -> Result<Option<Box<dyn OpState + 'static>>, TractError>

impl<T> Hash for Im2Col<T> where
    T: Datum + Copy + Zero, 

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

Feeds this value into the given Hasher.

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

Feeds a slice of this type into the given Hasher.

impl<T> Op for Im2Col<T> where
    T: Datum + Copy + Zero, 

fn name(&self) -> Cow<'_, str>

fn info(&self) -> Result<Vec<String>, TractError>

Short (one-line) strings giving hints on internal implementation or important configuration details to be displayed in dumps.

fn op_families(&self) -> &'static [&'static str]

Vector of short strings defining what families the op belongs too. tract-core defines "core", "mir", "lir".

fn same_as(&self, other: &(dyn Op + 'static)) -> bool

Compare two ops.

fn as_typed(&self) -> Option<&(dyn TypedOp + 'static)>

fn validation(&self) -> Validation

The kind of accuracy check that should be performed on operation when testing them.

impl<T> PartialEq<Im2Col<T>> for Im2Col<T> where
    T: Datum + Copy + Zero, 

fn eq(&self, other: &Im2Col<T>) -> bool

This method tests for self and other values to be equal, and is used by ==.

#[must_use]fn ne(&self, other: &Rhs) -> bool

This method tests for !=.

impl<T> TypedOp for Im2Col<T> where
    T: Datum + Copy + Zero, 

fn as_op(&self) -> &(dyn Op + 'static)

Reinterpret the TypedOp as an Op.

fn as_op_mut(&mut self) -> &mut (dyn Op + 'static)

Reinterpret the TypedOp as an Op, mutably.

fn output_facts(
    &self,
    _inputs: &[&TypedFact]
) -> Result<SmallVec<[TypedFact; 4]>, TractError>

Deduce output facts from input facts.

fn invariants(
    &self,
    model: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    node: &Node<TypedFact, Box<dyn TypedOp + 'static>>
) -> Result<Invariants, TractError>

fn fuse(
    &self,
    _model: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    _node: &Node<TypedFact, Box<dyn TypedOp + 'static>>
) -> Result<Option<ModelPatch<TypedFact, Box<dyn TypedOp + 'static>>>, TractError>

Fuse op after codegen to deal with local optimisations.

fn declutter(
    &self,
    model: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    node: &Node<TypedFact, Box<dyn TypedOp + 'static>>
) -> Result<Option<ModelPatch<TypedFact, Box<dyn TypedOp + 'static>>>, TractError>

Declutter the op to the tract_core operator set as much as possible.

fn cost(
    &self,
    _inputs: &[&TypedFact]
) -> Result<SmallVec<[(Cost, TDim); 4]>, TractError>

Computes a cost hint of the operation.

fn suggested_axis_changes(
    &self
) -> Result<SmallVec<[(InOut, AxisOp); 4]>, TractError>

fn change_axes(
    &self,
    model: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    node: &Node<TypedFact, Box<dyn TypedOp + 'static>>,
    io: InOut,
    change: &AxisOp
) -> Result<Option<AxisChangeConsequence>, TractError>

fn slice_output(
    &self,
    model: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    node: &Node<TypedFact, Box<dyn TypedOp + 'static>>,
    patch: &mut ModelPatch<TypedFact, Box<dyn TypedOp + 'static>>,
    output_slot: usize,
    axis: usize,
    start: usize,
    end: usize
) -> Result<Option<OutletId>, TractError>

fn quantize(
    &self,
    model: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    node: &Node<TypedFact, Box<dyn TypedOp + 'static>>,
    dt: DatumType,
    scale: f32,
    zero_point: i32
) -> Result<Option<Box<dyn TypedOp + 'static>>, TractError>

Transforms the op in an equivalent one, operating on dt (i8 or u8).

fn concretize_dims(
    &self,
    source: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    node: &Node<TypedFact, Box<dyn TypedOp + 'static>>,
    target: &mut Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    mapping: &HashMap<OutletId, OutletId, RandomState>,
    values: &SymbolValues
) -> Result<SmallVec<[OutletId; 4]>, TractError>

Transform the op into by providing a value to one or more symbols.

fn codegen(
    &self,
    model: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    node: &Node<TypedFact, Box<dyn TypedOp + 'static>>
) -> Result<Option<ModelPatch<TypedFact, Box<dyn TypedOp + 'static>>>, TractError>

Translate the op into the most efficient form possible for execution.

fn nested_model_multipliers(
    &self,
    inputs: &[&TypedFact]
) -> Vec<(Cow<'_, str>, f64)>

Nested model multipliers, with label (for profiling).