Struct caffe2_predictor::DataNetFiller
source · pub struct DataNetFiller { /* private fields */ }
Expand description
| @init_net: a reader net to generate | parameters | | @data_net: a reader net to generate | inputs |
Implementations§
source§impl DataNetFiller
impl DataNetFiller
pub fn new(init_net: NetDef, data_net: NetDef) -> Self
pub fn fill_parameter(&self, ws: *mut Workspace)
pub fn fill_input_internal(&self, input_data: *mut Predictor_TensorList)
Auto Trait Implementations§
impl RefUnwindSafe for DataNetFiller
impl Send for DataNetFiller
impl Sync for DataNetFiller
impl Unpin for DataNetFiller
impl UnwindSafe for DataNetFiller
Blanket Implementations§
§impl<T> Pointable for T
impl<T> Pointable for T
§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere SS: SubsetOf<SP>,
§fn to_subset(&self) -> Option<SS>
fn to_subset(&self) -> Option<SS>
The inverse inclusion map: attempts to construct
self
from the equivalent element of its
superset. Read more§fn is_in_subset(&self) -> bool
fn is_in_subset(&self) -> bool
Checks if
self
is actually part of its subset T
(and can be converted to it).§fn to_subset_unchecked(&self) -> SS
fn to_subset_unchecked(&self) -> SS
Use with care! Same as
self.to_subset
but without any property checks. Always succeeds.§fn from_subset(element: &SS) -> SP
fn from_subset(element: &SS) -> SP
The inclusion map: converts
self
to the equivalent element of its superset.