Struct tract_tensorflow::ops::nn::s2b::unary::BatchToSpaceUnary

pub struct BatchToSpaceUnary { /* fields omitted */ }

Implementations

impl BatchToSpaceUnary

pub fn new(
    datum_type: DatumType,
    batch_shape: TVec<TDim>,
    space_shape: TVec<TDim>,
    block_shape: Array1<i32>,
    pad: Vec<PaddingStrat>
) -> Self

Constructs a new BatchToSpaceUnary.

Trait Implementations

impl Clone for BatchToSpaceUnary

fn clone(&self) -> BatchToSpaceUnary

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for BatchToSpaceUnary

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

Formats the value using the given formatter.

impl DynHash for BatchToSpaceUnary

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

impl Hash for BatchToSpaceUnary

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

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 BatchToSpaceUnary

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

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 as_typed(&self) -> Option<&dyn TypedOp>

fn validation(&self) -> Validation

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

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

Compare two ops.

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 as_pulsed(&self) -> Option<&(dyn PulsedOp + 'static)>

fn is_canonic(&self) -> bool

impl StatelessOp for BatchToSpaceUnary

fn eval(&self, inputs: TVec<Arc<Tensor>>) -> TractResult<TVec<Arc<Tensor>>>

impl TypedOp for BatchToSpaceUnary

fn as_op(&self) -> &dyn Op

Reinterpret the TypedOp as an Op.

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

Reinterpret the TypedOp as an Op, mutably.

fn output_facts(&self, inputs: &[&TypedFact]) -> TractResult<TVec<TypedFact>>

Deduce output facts from input facts.

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

fn fuse(
    &self,
    _model: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    _node: &BaseNode<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: &BaseNode<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: &BaseNode<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: &BaseNode<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: &BaseNode<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 pulsify(
    &self,
    _source: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    node: &BaseNode<TypedFact, Box<dyn TypedOp + 'static>>,
    _target: &mut Graph<PulsedFact, Box<dyn PulsedOp + 'static>>,
    _mapping: &HashMap<OutletId, OutletId, RandomState>,
    _pulse: usize
) -> Result<SmallVec<[OutletId; 4]>, TractError>

Translate an op from a typed network to a pulsing equivalent form, if possible.

fn concretize_stream_dim(
    &self,
    _source: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    node: &BaseNode<TypedFact, Box<dyn TypedOp + 'static>>,
    target: &mut Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    mapping: &HashMap<OutletId, OutletId, RandomState>,
    _stream_dim: usize
) -> Result<SmallVec<[OutletId; 4]>, TractError>

Transform the op into by making the S dimension concrete.

fn codegen(
    &self,
    _model: &Graph<TypedFact, Box<dyn TypedOp + 'static>>,
    _node: &BaseNode<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).