Struct tract_pulse::internal::tract_core::ops::Downsample

pub struct Downsample {
    pub axis: usize,
    pub stride: isize,
    pub modulo: usize,
}

Fields

axis: usize

stride: isize

modulo: usize

Implementations

impl Downsample

pub fn new(axis: usize, stride: isize, modulo: usize) -> Downsample

Constructs a new Downsample.

Trait Implementations

impl Clone for Downsample

fn clone(&self) -> Downsample

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Downsample

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

Formats the value using the given formatter.

impl Default for Downsample

fn default() -> Downsample

Returns the “default value” for a type.

impl DynHash for Downsample

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

impl EvalOp for Downsample

fn is_stateless(&self) -> bool

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

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

impl Hash for Downsample

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 Op for Downsample

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

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

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 PartialEq<Downsample> for Downsample

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

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

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

This method tests for !=.

impl PulsedOp for Downsample

fn pulsed_output_facts(
    &self,
    inputs: &[&PulsedFact]
) -> TractResult<TVec<PulsedFact>>

Deduce output facts from input facts.

fn as_op(&self) -> &dyn Op

Reinterpret the PulsedOp as an Op.

fn as_op_mut(&mut self) -> &mut dyn Op

Reinterpret the PulsedOp as an Op, mutably.

fn to_typed(&self) -> Box<dyn TypedOp>

Reinterpret the PulsedOp as an TypedOp.

impl TypedOp for Downsample

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

Deduce output facts from input facts.

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

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

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 invariants(
    &self,
    inputs: &[&TypedFact],
    outputs: &[&TypedFact]
) -> Result<Invariants, Error>

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

Fuse op after codegen to deal with local optimisations.

fn declutter_with_session(
    &self,
    session: &mut OptimizerSession<'_>,
    model: &Graph<TypedFact, Box<dyn TypedOp + 'static, Global>>,
    node: &Node<TypedFact, Box<dyn TypedOp + 'static, Global>>
) -> Result<Option<ModelPatch<TypedFact, Box<dyn TypedOp + 'static, Global>>>, Error>

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

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

Computes a cost hint of the operation.

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

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

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

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

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

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

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

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

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

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

Nested model multipliers, with label (for profiling).

impl StructuralPartialEq for Downsample