Struct rai_core::CandleBackend

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pub struct CandleBackend;

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impl Backend for CandleBackend

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

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fn as_any(&self) -> &dyn Any

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fn data_type_id(&self) -> TypeId

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

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impl Clone for CandleBackend

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fn clone(&self) -> CandleBackend

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for CandleBackend

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

Formats the value using the given formatter. Read more
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impl Default for CandleBackend

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fn default() -> CandleBackend

Returns the “default value” for a type. Read more
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impl<D: Device> Eval<D, Abs> for CandleBackend

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

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

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

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impl<D, T> Eval<D, Arange<T>> for CandleBackend
where D: Device, for<'a> &'a D: Into<Device>, T: Type, T::Repr: WithDType,

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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impl<D, T> Eval<D, FromArray<T>> for CandleBackend
where D: Device, for<'a> &'a D: Into<Device>, T: Type, T::Repr: WithDType,

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

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impl<D, T> Eval<D, Full<T>> for CandleBackend
where D: Device, for<'a> &'a D: Into<Device>, T: Type, T::Repr: WithDType,

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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impl<D, T> Eval<D, Normal<T>> for CandleBackend
where D: Device, for<'a> &'a D: Into<Device>, T: Type, T::Repr: FloatDType,

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

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

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

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

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

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

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

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impl<D, T> Eval<D, Random<T>> for CandleBackend
where D: Device, for<'a> &'a D: Into<Device>, T: Type, T::Repr: FloatDType,

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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impl<D1, D2> Eval<D1, ToDevice<D2>> for CandleBackend
where D1: Device, D2: Device + Clone, for<'a> &'a D2: Into<Device>,

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

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impl PartialEq for CandleBackend

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

This method tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl Eq for CandleBackend

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impl StructuralPartialEq for CandleBackend

Auto Trait Implementations§

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

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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where M: Module<Input = T>,

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

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

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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

Mutably borrows from an owned value. Read more
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impl<T> DynClone for T
where T: Clone,

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fn __clone_box(&self, _: Private) -> *mut ()

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T> Instrument for T

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Instruments this type with the provided Span, returning an Instrumented wrapper. Read more
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fn into(self) -> U

Calls U::from(self).

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impl<T> Pointable for T

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const ALIGN: usize = _

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type Init = T

The type for initializers.
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unsafe fn init(init: <T as Pointable>::Init) -> usize

Initializes a with the given initializer. Read more
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Dereferences the given pointer. Read more
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Drops the object pointed to by the given pointer. Read more
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impl<T> ToOwned for T
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