[−][src]Trait tract_core::ops::Op
Required methods
Loading content...Provided methods
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
Infers properties about the input and output tensors.
The inputs
and outputs
arguments correspond to properties about
the input and output tensors that are already known.
Returns Err in case of an unrecoverable error during the inference, and the refined properties about the inputs and outputs otherwise.
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
fn rounding_errors(&self) -> bool
fn same_as(&self, _other: &dyn Op) -> bool
fn info(&self) -> TractResult<Option<String>>
Methods
impl dyn Op
pub fn is<__T: Op>(&self) -> bool
Returns true if the trait object wraps an object of type __T
.
pub fn downcast<__T: Op>(self: Box<Self>) -> Result<Box<__T>, Box<Self>>
Returns a boxed object from a boxed trait object if the underlying object is of type
__T
. Returns the original boxed trait if it isn't.
pub fn downcast_ref<__T: Op>(&self) -> Option<&__T>
Returns a reference to the object within the trait object if it is of type __T
, or
None
if it isn't.
pub fn downcast_mut<__T: Op>(&mut self) -> Option<&mut __T>
Returns a mutable reference to the object within the trait object if it is of type
__T
, or None
if it isn't.
Implementors
impl Op for AddDims
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Concat
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for ConstantLike
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for ConstantOfShape
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for EyeLike
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Flatten
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Gather
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for MultiBroadcastTo
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Pad
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for PermuteAxes
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Reshape
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for RmDims
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Shape
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Size
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Slice
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Split
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Squeeze
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Tile
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Cast
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Direct
[src]
fn name(&self) -> Cow<str>
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
fn cost(&self, inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn same_as(&self, _other: &dyn Op) -> bool
[src]
impl Op for AvgPool
[src]
fn name(&self) -> Cow<str>
[src]
fn codegen(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Conv
[src]
fn name(&self) -> Cow<str>
[src]
fn cost(&self, inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for ConvUnary
[src]
fn name(&self) -> Cow<str>
[src]
fn cost(&self, inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for MaxPool
[src]
fn name(&self) -> Cow<str>
[src]
fn codegen(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Identity
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Const
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::And::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::And::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::Equals::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::Equals::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::Greater::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::Greater::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::Lesser::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::Lesser::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::Or::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::Or::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::Xor::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::logic::Xor::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Not
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Add::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Add::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Div::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Div::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Max::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Max::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Min::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Min::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Mul::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Mul::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Pow::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Pow::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Rem::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Rem::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Sub::Bin
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Sub::UnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Gemm
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for GemmUnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for GemmUnaryB
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for MatMul
[src]
fn name(&self) -> Cow<str>
[src]
fn cost(&self, inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for MatMulUnaryA
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for MatMulUnaryB
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Abs
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Acos
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Acosh
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for AddN
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Asin
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Asinh
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Atan
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Atanh
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Ceil
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Clip
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Cos
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Cosh
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Exp
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Floor
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for IsNan
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Ln
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for MaxN
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for MeanN
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for MinN
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Neg
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Recip
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Rsqrt
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Sign
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Sin
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Sinh
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Sqrt
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Tan
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::math::Tanh
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Sigmoid
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for ArgMaxMin
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for BatchNorm
[src]
fn name(&self) -> Cow<str>
[src]
fn declutter(
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
model: &TypedModel,
node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Elu
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for GlobalAvgPool
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for GlobalLpPool
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for GlobalMaxPool
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Hardsigmoid
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for LayerHardmax
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for LayerLogSoftmax
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for LayerSoftmax
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for LeakyRelu
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Lrn
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for ParametricSoftplus
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Reduce
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Relu
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for ScaledTanh
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Selu
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Softplus
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Softsign
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for ThresholdedRelu
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for tract_core::ops::nn::tanh::Tanh
[src]
fn name(&self) -> Cow<str>
[src]
fn pulsify(
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
node: &NormalizedNode,
target: &mut PulsedModel,
mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Source
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for UnimplementedOp
[src]
fn name(&self) -> Cow<str>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl Op for Delay
[src]
fn name(&self) -> Cow<str>
[src]
fn same_as(&self, other: &dyn Op) -> bool
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn rounding_errors(&self) -> bool
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
impl<T: Copy + Datum + Add + Mul + Zero + FloatLike> Op for MatMulUnaryImplASimpleB<T>
[src]
fn name(&self) -> Cow<str>
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn rounding_errors(&self) -> bool
[src]
fn same_as(&self, _other: &dyn Op) -> bool
[src]
impl<T: Copy + Datum + Add + Mul + Zero + FloatLike> Op for MatMulUnaryImplA<T>
[src]
fn name(&self) -> Cow<str>
[src]
fn info(&self) -> TractResult<Option<String>>
[src]
fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>>
[src]
fn infer(
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
[src]
&self,
inputs: TVec<&TensorFact>,
outputs: TVec<&TensorFact>
) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>
fn declutter(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
fn pulsify(
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
[src]
&self,
_source: &NormalizedModel,
_node: &NormalizedNode,
_target: &mut PulsedModel,
_mapping: &HashMap<OutletId, OutletId>
) -> TractResult<TVec<OutletId>>
fn codegen(
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>
[src]
&self,
_model: &TypedModel,
_node: &TypedNode
) -> TractResult<Option<TypedModelPatch>>