[−][src]Struct tract_core::tensor::Tensor
Tensor is a concrete tensor in tract.
Methods
impl Tensor
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pub unsafe fn uninitialized<T: Datum>(shape: &[usize]) -> TractResult<Tensor>
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Create an uninitialized tensor (dt as type paramater).
pub unsafe fn uninitialized_dt(
dt: DatumType,
shape: &[usize]
) -> TractResult<Tensor>
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dt: DatumType,
shape: &[usize]
) -> TractResult<Tensor>
Create an uninitialized tensor (dt as regular parameter).
pub unsafe fn uninitialized_aligned<T: Datum>(
shape: &[usize],
alignment: usize
) -> TractResult<Tensor>
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shape: &[usize],
alignment: usize
) -> TractResult<Tensor>
Create an uninitialized tensor with a given alignment (in bytes).
pub unsafe fn uninitialized_aligned_dt(
dt: DatumType,
shape: &[usize],
alignment: usize
) -> TractResult<Tensor>
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dt: DatumType,
shape: &[usize],
alignment: usize
) -> TractResult<Tensor>
Create an uninitialized tensor with a given alignment (in bytes).
pub unsafe fn from_raw<T: Datum>(
shape: &[usize],
content: &[u8]
) -> TractResult<Tensor>
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shape: &[usize],
content: &[u8]
) -> TractResult<Tensor>
Create an tensor from raw data.
It copies the data, aligning it to the size of T.
pub unsafe fn from_raw_dt(
dt: DatumType,
shape: &[usize],
content: &[u8]
) -> TractResult<Tensor>
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dt: DatumType,
shape: &[usize],
content: &[u8]
) -> TractResult<Tensor>
pub fn rank(&self) -> usize
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Get the number of dimensions (or axes) of the tensor.
pub fn shape(&self) -> &[usize]
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Get the shape of the tensor.
pub fn len(&self) -> usize
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Get the number of valeus in the tensor.
pub unsafe fn into_shape(self, shape: &[usize]) -> TractResult<Tensor>
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Reshape the tensor to shape
.
pub fn insert_axis(&mut self, axis: usize) -> TractResult<()>
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pub fn remove_axis(&mut self, axis: usize) -> TractResult<()>
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pub fn datum_type(&self) -> DatumType
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Get the datum type of the tensor.
pub fn dump_t<D: Datum>(&self, force_full: bool) -> TractResult<String>
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Dump the tensor in a human readable form.
force_full
will force the tensor to be dump in full even if it is big.
pub fn dump(&self, force_full: bool) -> TractResult<String>
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Dump the tensor in a human readable form.
force_full
will force the tensor to be dump in full even if it is big.
pub fn l1(&self, other: &Self) -> TractResult<f64>
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Compute a normalized L1 distance between two tensors.
pub fn close_enough(&self, other: &Self, approx: bool) -> TractResult<()>
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Compare two tensors, allowing for rounding errors.
pub fn into_array<D: Datum>(self) -> TractResult<ArrayD<D>>
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Transform the tensor into a ndarray::Array
.
pub fn to_array_view<'a, D: Datum>(&'a self) -> TractResult<ArrayViewD<'a, D>>
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Transform the data as a ndarray::Array
.
pub fn to_array_view_mut<'a, D: Datum>(
&'a mut self
) -> TractResult<ArrayViewMutD<'a, D>>
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&'a mut self
) -> TractResult<ArrayViewMutD<'a, D>>
Transform the data as a mutable ndarray::Array
.
pub fn as_ptr<D: Datum>(&self) -> TractResult<*const D>
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Access the data as a pointer.
pub fn as_ptr_mut<D: Datum>(&mut self) -> TractResult<*mut D>
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Access the data as a mutable pointer.
pub fn as_slice<D: Datum>(&self) -> TractResult<&[D]>
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Access the data as a slice.
pub fn as_slice_mut<D: Datum>(&mut self) -> TractResult<&mut [D]>
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Access the data as a mutable slice.
pub fn to_scalar<'a, D: Datum>(&'a self) -> TractResult<&D>
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Access the data as a scalar.
pub fn is_uniform(&self) -> TractResult<bool>
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pub fn cast_to<D: Datum>(&self) -> TractResult<Cow<Tensor>>
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Optionnaly convert data to a tensor for a new DatumType.
pub fn cast_to_dt(&self, dt: DatumType) -> TractResult<Cow<Tensor>>
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Optionnaly convert data to a tensor for a new DatumType.
pub fn cast_to_scalar<D: Datum + Copy>(&self) -> TractResult<D>
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Access the data as a scalar, after a cast.
pub fn deep_clone(&self) -> Tensor
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pub fn slice(
&self,
axis: usize,
start: usize,
end: usize
) -> TractResult<Tensor>
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&self,
axis: usize,
start: usize,
end: usize
) -> TractResult<Tensor>
Trait Implementations
impl Clone for Tensor
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impl Debug for Tensor
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impl Default for Tensor
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impl Drop for Tensor
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impl<'a> From<&'a Tensor> for InferenceFact
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fn from(t: &'a Tensor) -> InferenceFact
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impl<'t> From<&'t Tensor> for TypedFact
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impl<'t> From<&'t Tensor> for NormalizedFact
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fn from(t: &'t Tensor) -> NormalizedFact
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impl<D: Dimension, T: Datum> From<ArrayBase<OwnedRepr<T>, D>> for Tensor
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impl From<Blob> for Tensor
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impl From<String> for Tensor
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impl From<TDim> for Tensor
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impl From<Tensor> for TypedFact
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impl From<bool> for Tensor
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impl From<f16> for Tensor
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impl From<f32> for Tensor
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impl From<f64> for Tensor
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impl From<i16> for Tensor
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impl From<i32> for Tensor
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impl From<i64> for Tensor
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impl From<i8> for Tensor
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impl From<u16> for Tensor
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impl From<u8> for Tensor
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impl IntoArcTensor for Tensor
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fn into_arc_tensor(self) -> Arc<Tensor>
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impl PartialEq<Tensor> for Tensor
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impl Send for Tensor
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impl Sync for Tensor
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Auto Trait Implementations
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> Downcast for T where
T: Any,
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T: Any,
fn into_any(self: Box<T>) -> Box<dyn Any + 'static>
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fn into_any_rc(self: Rc<T>) -> Rc<dyn Any + 'static>
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fn as_any(&self) -> &(dyn Any + 'static)
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fn as_any_mut(&mut self) -> &mut (dyn Any + 'static)
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impl<T> DowncastSync for T where
T: Send + Sync + Any,
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T: Send + Sync + Any,
impl<T> DynClone for T where
T: Clone,
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T: Clone,
impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
fn to_owned(&self) -> T
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fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,