Struct CandleBackend

pub struct CandleBackend;

Trait Implementations§

impl Backend for CandleBackend

fn clone_boxed(&self) -> Box<dyn Backend>

fn as_any(&self) -> &dyn Any

fn data_type_id(&self) -> TypeId

fn equal(&self, rhs: &dyn Backend) -> bool

impl Clone for CandleBackend

fn clone(&self) -> CandleBackend

Returns a copy of the value. Read more

1.0.0 · Source§

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

Performs copy-assignment from source. Read more

impl Debug for CandleBackend

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

Formats the value using the given formatter. Read more

impl Default for CandleBackend

fn default() -> CandleBackend

Returns the “default value” for a type. Read more

impl<D: Device> Eval<D, Abs> for CandleBackend

fn eval(&self, _: &D, _: &Abs, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Add> for CandleBackend

fn eval(&self, _: &D, _: &Add, inputs: &[Tensor], output: &Tensor)

impl<D, T> Eval<D, Arange<T>> for CandleBackend
where D: Device + WithDevice, T: Type, T::Repr: WithDType,

fn eval(&self, device: &D, primitive: &Arange<T>, _: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, ArgMax> for CandleBackend

fn eval(&self, _: &D, primitive: &ArgMax, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, ArgMin> for CandleBackend

fn eval(&self, _: &D, primitive: &ArgMin, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, AvgPool1d> for CandleBackend

fn eval(&self, _: &D, _p: &AvgPool1d, _inputs: &[Tensor], _output: &Tensor)

impl<D: Device> Eval<D, AvgPool2d> for CandleBackend

fn eval(&self, _: &D, p: &AvgPool2d, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Broadcast> for CandleBackend

fn eval(&self, _: &D, primitive: &Broadcast, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Concatenate> for CandleBackend

fn eval( &self, _: &D, primitive: &Concatenate, inputs: &[Tensor], output: &Tensor, )

impl<D: Device> Eval<D, Conv1d> for CandleBackend

fn eval(&self, _: &D, primitive: &Conv1d, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Conv2d> for CandleBackend

fn eval(&self, _: &D, primitive: &Conv2d, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, ConvTranspose1d> for CandleBackend

fn eval( &self, _: &D, primitive: &ConvTranspose1d, inputs: &[Tensor], output: &Tensor, )

impl<D: Device> Eval<D, ConvTranspose2d> for CandleBackend

fn eval( &self, _: &D, primitive: &ConvTranspose2d, inputs: &[Tensor], output: &Tensor, )

impl<D: Device> Eval<D, Cos> for CandleBackend

fn eval(&self, _: &D, _: &Cos, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Div> for CandleBackend

fn eval(&self, _: &D, _: &Div, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Equal> for CandleBackend

fn eval(&self, _: &D, _: &Equal, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Erf> for CandleBackend

fn eval(&self, _: &D, _: &Erf, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Exp> for CandleBackend

fn eval(&self, _: &D, _: &Exp, inputs: &[Tensor], output: &Tensor)

impl<D, T> Eval<D, FromArray<T>> for CandleBackend
where D: Device + WithDevice, T: Type, T::Repr: WithDType,

fn eval( &self, device: &D, primitive: &FromArray<T>, _: &[Tensor], output: &Tensor, )

impl<D, T> Eval<D, Full<T>> for CandleBackend
where D: Device + WithDevice, T: Type, T::Repr: WithDType,

fn eval(&self, device: &D, primitive: &Full<T>, _: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Gather> for CandleBackend

fn eval(&self, _: &D, primitive: &Gather, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Greater> for CandleBackend

fn eval(&self, _: &D, _: &Greater, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, GreaterEqual> for CandleBackend

fn eval(&self, _: &D, _: &GreaterEqual, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, IndexAdd> for CandleBackend

fn eval(&self, _: &D, primitive: &IndexAdd, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, IndexSelect> for CandleBackend

fn eval( &self, _: &D, primitive: &IndexSelect, inputs: &[Tensor], output: &Tensor, )

impl<D: Device> Eval<D, Less> for CandleBackend

fn eval(&self, _: &D, _: &Less, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, LessEqual> for CandleBackend

fn eval(&self, _: &D, _: &LessEqual, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Log> for CandleBackend

fn eval(&self, _: &D, _: &Log, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Log10> for CandleBackend

fn eval(&self, _: &D, _: &Log10, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Log2> for CandleBackend

fn eval(&self, _: &D, _: &Log2, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, LogSoftmax> for CandleBackend

fn eval( &self, _: &D, primitive: &LogSoftmax, inputs: &[Tensor], output: &Tensor, )

impl<D: Device + MatMulCheck> Eval<D, MatMul> for CandleBackend

fn eval(&self, device: &D, _: &MatMul, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, MaxPool1d> for CandleBackend

fn eval(&self, _: &D, _p: &MaxPool1d, _inputs: &[Tensor], _output: &Tensor)

impl<D: Device> Eval<D, MaxPool2d> for CandleBackend

fn eval(&self, _: &D, p: &MaxPool2d, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Maximum> for CandleBackend

fn eval(&self, _: &D, _: &Maximum, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Minimum> for CandleBackend

fn eval(&self, _: &D, _: &Minimum, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Mul> for CandleBackend

fn eval(&self, _: &D, _: &Mul, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Narrow> for CandleBackend

fn eval(&self, _: &D, primitive: &Narrow, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Negative> for CandleBackend

fn eval(&self, _: &D, _: &Negative, inputs: &[Tensor], output: &Tensor)

impl<D, T> Eval<D, Normal<T>> for CandleBackend
where D: Device + WithDevice, T: Type, T::Repr: FloatDType,

fn eval(&self, device: &D, primitive: &Normal<T>, _: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, NotEqual> for CandleBackend

fn eval(&self, _: &D, _: &NotEqual, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Permute> for CandleBackend

fn eval(&self, _: &D, primitive: &Permute, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, PowerFloat> for CandleBackend

fn eval( &self, _: &D, primitive: &PowerFloat, inputs: &[Tensor], output: &Tensor, )

impl<D, T> Eval<D, Random<T>> for CandleBackend
where D: Device + WithDevice, T: Type, T::Repr: FloatDType,

fn eval(&self, device: &D, primitive: &Random<T>, _: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, ReduceMax> for CandleBackend

fn eval(&self, _: &D, primitive: &ReduceMax, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, ReduceMin> for CandleBackend

fn eval(&self, _: &D, primitive: &ReduceMin, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, ReduceSum> for CandleBackend

fn eval(&self, _: &D, primitive: &ReduceSum, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Reshape> for CandleBackend

fn eval(&self, _: &D, primitive: &Reshape, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Rsqrt> for CandleBackend

fn eval(&self, _: &D, _: &Rsqrt, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, ScatterAdd> for CandleBackend

fn eval( &self, _: &D, primitive: &ScatterAdd, inputs: &[Tensor], output: &Tensor, )

impl<D: Device> Eval<D, Sign> for CandleBackend

fn eval(&self, _: &D, _: &Sign, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Sin> for CandleBackend

fn eval(&self, _: &D, _: &Sin, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Softmax> for CandleBackend

fn eval(&self, _: &D, primitive: &Softmax, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Sqrt> for CandleBackend

fn eval(&self, _: &D, _: &Sqrt, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Square> for CandleBackend

fn eval(&self, _: &D, _: &Square, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Sub> for CandleBackend

fn eval(&self, _: &D, _: &Sub, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Tanh> for CandleBackend

fn eval(&self, _: &D, _: &Tanh, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, ToContiguous> for CandleBackend

fn eval(&self, _: &D, _: &ToContiguous, inputs: &[Tensor], output: &Tensor)

impl<D, T> Eval<D, ToDType<T>> for CandleBackend
where D: Device, T: Type + Into<DType>,

fn eval( &self, _: &D, primitive: &ToDType<T>, inputs: &[Tensor], output: &Tensor, )

impl<D: Device> Eval<D, Transpose> for CandleBackend

fn eval(&self, _: &D, primitive: &Transpose, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, UpsampleNearest1d> for CandleBackend

fn eval(&self, _: &D, p: &UpsampleNearest1d, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, UpsampleNearest2d> for CandleBackend

fn eval(&self, _: &D, p: &UpsampleNearest2d, inputs: &[Tensor], output: &Tensor)

impl<D: Device> Eval<D, Where> for CandleBackend

fn eval(&self, _: &D, _: &Where, inputs: &[Tensor], output: &Tensor)

impl<D1, D2> Eval<D1, ToDevice<D2>> for CandleBackend
where D1: Device, D2: Device + Clone + WithDevice,

fn eval( &self, _: &D1, primitive: &ToDevice<D2>, inputs: &[Tensor], output: &Tensor, )

impl PartialEq for CandleBackend

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

Tests for self and other values to be equal, and is used by ==.

1.0.0 · Source§

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for CandleBackend

impl Eq for CandleBackend

impl StructuralPartialEq for CandleBackend

Auto Trait Implementations§

impl Freeze for CandleBackend

impl RefUnwindSafe for CandleBackend

impl Send for CandleBackend

impl Sync for CandleBackend

impl Unpin for CandleBackend

impl UnwindSafe for CandleBackend

Blanket Implementations§

impl<T> Any for T
where T: 'static + ?Sized,

fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

impl<T, M> ApplyModule<M> for T
where M: Module<Input = T>,

fn apply(&self, module: M) -> M::Output

impl<T> Borrow<T> for T
where T: ?Sized,

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

impl<T> BorrowMut<T> for T
where T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

impl<T> CloneToUninit for T
where T: Clone,

unsafe fn clone_to_uninit(&self, dst: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)

Performs copy-assignment from self to dst. Read more

impl<T> DynClone for T
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fn __clone_box(&self, _: Private) -> *mut ()

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Returns the argument unchanged.

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fn instrument(self, span: Span) -> Instrumented<Self>

Instruments this type with the provided Span, returning an Instrumented wrapper. Read more

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

impl<T> Pointable for T

const ALIGN: usize

The alignment of pointer.

type Init = T

The type for initializers.

unsafe fn init(init: <T as Pointable>::Init) -> usize

Initializes a with the given initializer. Read more

unsafe fn deref<'a>(ptr: usize) -> &'a T

Dereferences the given pointer. Read more

unsafe fn deref_mut<'a>(ptr: usize) -> &'a mut T

Mutably dereferences the given pointer. Read more

unsafe fn drop(ptr: usize)

Drops the object pointed to by the given pointer. Read more

impl<T> ToOwned for T
where T: Clone,

type Owned = T

The resulting type after obtaining ownership.

fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more

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type Error = Infallible

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type Error = <U as TryFrom<T>>::Error

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