pub struct TensorCoresBLAS<F: Float + Debug> { /* private fields */ }Expand description
Tensor Cores optimized BLAS operations
Implementations§
Source§impl<F: Float + Debug + Clone + Zero + One> TensorCoresBLAS<F>
impl<F: Float + Debug + Clone + Zero + One> TensorCoresBLAS<F>
Sourcepub fn new(
_config: GpuConfig,
devicecapabilities: GpuCapabilities,
) -> Result<Self>
pub fn new( _config: GpuConfig, devicecapabilities: GpuCapabilities, ) -> Result<Self>
Create new tensor cores BLAS processor
Sourcepub fn tensor_gemm(
&self,
alpha: F,
a: &Array2<F>,
b: &Array2<F>,
beta: F,
c: &mut Array2<F>,
) -> Result<()>
pub fn tensor_gemm( &self, alpha: F, a: &Array2<F>, b: &Array2<F>, beta: F, c: &mut Array2<F>, ) -> Result<()>
Tensor cores optimized matrix multiplication (GEMM)
Sourcepub fn mixed_precision_gemm(
&self,
alpha: F,
a: &Array2<F>,
b: &Array2<F>,
beta: F,
c: &mut Array2<F>,
) -> Result<()>
pub fn mixed_precision_gemm( &self, alpha: F, a: &Array2<F>, b: &Array2<F>, beta: F, c: &mut Array2<F>, ) -> Result<()>
Mixed precision matrix multiplication with automatic loss scaling
Sourcepub fn batch_tensor_gemm(
&self,
alpha: F,
a_batch: &[Array2<F>],
b_batch: &[Array2<F>],
beta: F,
c_batch: &mut [Array2<F>],
) -> Result<()>
pub fn batch_tensor_gemm( &self, alpha: F, a_batch: &[Array2<F>], b_batch: &[Array2<F>], beta: F, c_batch: &mut [Array2<F>], ) -> Result<()>
Batch tensor cores GEMM for multiple matrix multiplications
Sourcepub fn tensor_convolution_gemm(
&self,
input: &Array2<F>,
kernel: &Array2<F>,
stride: usize,
) -> Result<Array2<F>>
pub fn tensor_convolution_gemm( &self, input: &Array2<F>, kernel: &Array2<F>, stride: usize, ) -> Result<Array2<F>>
Optimized tensor cores convolution using GEMM
Trait Implementations§
Auto Trait Implementations§
impl<F> Freeze for TensorCoresBLAS<F>
impl<F> RefUnwindSafe for TensorCoresBLAS<F>where
F: RefUnwindSafe,
impl<F> Send for TensorCoresBLAS<F>where
F: Send,
impl<F> Sync for TensorCoresBLAS<F>where
F: Sync,
impl<F> Unpin for TensorCoresBLAS<F>where
F: Unpin,
impl<F> UnwindSafe for TensorCoresBLAS<F>where
F: UnwindSafe,
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Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> IntoEither for T
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 moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
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>
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impl<T> Pointable for T
Source§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
Source§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 moreSource§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).Source§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.Source§fn from_subset(element: &SS) -> SP
fn from_subset(element: &SS) -> SP
The inclusion map: converts
self to the equivalent element of its superset.