Struct Mse

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pub struct Mse<U>where
    U: Clone + Copy + UnitValue<U>,
{ /* private fields */ }

Expand description

Mse implementation

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impl Mse
where U: UnitValue,

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pub fn new() -> Mse

Create a Mse instance

Trait Implementations§

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impl<'a, U, I, const N: usize> BatchLossFunctionLinear<'a, U, I, DeviceGpu, N> for Mse
where U: Clone + Copy + UnitValue + DataTypeInfo, DeviceGpu: Device, for<'b> CudaVecView<'b, U, CudaTensor1dPtr<U, N>>: TryFrom<&'b I, Error = TypeConvertError>, for<'b> LinearBatchMse<'b, U, N>: Kernel<Args = LinearBatchMseArgs<'b, U, N>>,

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type Output = CudaVec<U, CudaTensor1dPtr<U, N>>

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fn batch_linear_derive<'b>( &self, device: &DeviceGpu, expected: &'b I, actual: &'b I, ) -> Result<CudaVec<U, CudaTensor1dPtr<U, N>>, TrainingError>

Differentiation of loss functions Read more

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impl LossFunction for Mse
where U: Clone + Copy + UnitValue,

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fn derive(&self, r: U, t: U) -> U

Differentiation of loss functions Read more

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fn apply(&self, r: U, t: U) -> U

Applying the loss function Read more

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fn name(&self) -> &'static str

this loss function name

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impl<'a, U, I, const N: usize> LossFunctionLinear<'a, U, I, DeviceGpu, N> for Mse
where U: Clone + Copy + UnitValue + DataTypeInfo, DeviceGpu: Device, for<'b> CudaTensor1dPtrView<'b, U, N>: From<&'b I>, for<'b> LinearMse<'b, U, N>: Kernel<Args = LinearMseArgs<'b, U, N>>,

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type Output = CudaTensor1dPtr<U, N>

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fn linear_derive<'b>( &self, device: &DeviceGpu, actual: &'b I, expected: &'b I, ) -> Result<Self::Output, TrainingError>

Differentiation of loss functions Read more

Auto Trait Implementations§

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impl UnwindSafe for Mse
where U: UnwindSafe,

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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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impl<'a, T, U, I, const N: usize> BatchLossFunctionLinear<'a, U, I, DeviceCpu, N> for T
where T: LossFunction, U: UnitValue, I: BatchSize, SerializedVecView<'b, U, Arr<U, N>>: for<'b> TryFrom<&'b I, Error = TypeConvertError>,

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type Output = SerializedVec<U, Arr<U, N>>

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fn batch_linear_derive<'b>( &self, _: &DeviceCpu, expected: &'b I, actual: &'b I, ) -> Result<SerializedVec<U, Arr<U, N>>, TrainingError>

Differentiation of loss functions Read more

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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> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> IntoEither for T

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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

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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

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