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use std::fmt::Debug;
use downcast_rs::Downcast;
use crate::model::TVec;
use objekt;
#[macro_use]
mod macros;
pub mod array;
pub mod cast;
pub mod identity;
#[cfg(features = "image_ops")]
pub mod image;
pub mod konst;
pub mod logic;
pub mod math;
pub mod nn;
pub mod source;
pub mod unimpl;
#[derive(Debug, Copy, Clone, Default, PartialEq)]
pub struct StreamInfo {
pub axis: usize,
pub len: TDim,
}
#[derive(Debug, PartialEq, Copy, Clone)]
pub enum ReductionPhase {
Normalize,
Codegen,
}
pub mod prelude {
pub use super::{
InferenceOp, Op, OpState, ReducedOpRewire, ReductionPhase, StatefullOp, StatelessOp,
StreamInfo,
};
pub use crate::analyser::rules::expr::{IntoExp, ToDimExp};
pub use crate::analyser::rules::{
InferenceResult, InferenceRulesOp, SharedTensorsProxy, Solver,
};
pub use crate::analyser::types::TypeFact;
pub use crate::analyser::types::*;
pub use crate::datum::{Datum, DatumType};
pub use crate::dim::{DimLike, TDim, ToDim};
pub use crate::model::TVec;
pub use crate::pulse::{PulsedTensorFact, PulsifiedOp};
pub use crate::tensor::{arr4, SharedTensor, Tensor};
pub use crate::ToTract;
pub use crate::TractResult;
pub use std::borrow::Cow;
pub use std::collections::HashMap;
pub use std::marker::PhantomData;
pub use tract_linalg::f16::f16;
}
use self::prelude::*;
pub trait OpState: Debug + Send + objekt::Clone {
fn eval(&mut self, op: &Op, inputs: TVec<SharedTensor>) -> TractResult<TVec<SharedTensor>>;
}
pub trait StatelessOp {
fn eval(&self, inputs: TVec<SharedTensor>) -> TractResult<TVec<SharedTensor>>;
}
pub trait StatefullOp {
fn state(&self) -> TractResult<Option<Box<OpState>>>;
fn as_stateless(&self) -> Option<&StatelessOp> {
None
}
}
impl<O: StatelessOp + Clone> StatefullOp for O {
fn state(&self) -> TractResult<Option<Box<OpState>>> {
Ok(None)
}
fn as_stateless(&self) -> Option<&StatelessOp> {
Some(self)
}
}
impl_downcast!(Op);
pub trait Op:
Debug + objekt::Clone + Send + Sync + 'static + InferenceOp + Downcast + StatefullOp
{
fn name(&self) -> Cow<str>;
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>,
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)> {
let (infered_inputs, infered_outputs) = self.infer_facts(inputs, outputs)?;
if let Some(stateless) = self.as_stateless() {
if infered_inputs.iter().all(|i| i.value.is_concrete()) {
let input_values = infered_inputs
.iter()
.map(|i| i.value.concretize().unwrap().clone().into())
.collect();
let output_value = stateless.eval(input_values)?.pop().unwrap();
return Ok((infered_inputs, tvec![output_value.into(),]));
}
}
Ok((infered_inputs, infered_outputs))
}
fn reduce(
&self,
_inputs: TVec<&TensorFact>,
_outputs: TVec<&TensorFact>,
_phase: ReductionPhase,
) -> TractResult<Option<ReducedOpRewire>> {
Ok(None)
}
fn pulsify(
&self,
_inputs: TVec<&PulsedTensorFact>,
) -> TractResult<Vec<crate::pulse::PulsifiedOp>> {
bail!("Operator {} do not support pulsification", self.name())
}
fn const_value(&self) -> Option<SharedTensor> {
None
}
fn rounding_errors(&self) -> bool {
false
}
fn noutputs(&self) -> usize {
1
}
fn same_as(&self, _other: &Op) -> bool {
false
}
fn info(&self) -> TractResult<Option<String>> {
Ok(None)
}
}
pub trait InferenceOp {
fn infer_facts(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>,
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>;
}
clone_trait_object!(Op);
impl<O: Op> From<O> for Box<Op> {
fn from(it: O) -> Box<Op> {
Box::new(it)
}
}
#[derive(Clone, Debug, new)]
pub struct ReducedOpRewire {
pub(crate) ops: Vec<Box<Op>>,
pub(crate) rewired: TVec<usize>,
}
impl ReducedOpRewire {
pub fn unary<O: Into<Box<Op>>>(op: O) -> ReducedOpRewire {
ReducedOpRewire {
ops: vec![op.into()],
rewired: tvec!(0),
}
}
}