Struct arrow::tensor::Tensor

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pub struct Tensor<'a, T: ArrowPrimitiveType> { /* private fields */ }
Expand description

Tensor of primitive types

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impl<'a, T: ArrowPrimitiveType> Tensor<'a, T>

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pub fn try_new( buffer: Buffer, shape: Option<Vec<usize>>, strides: Option<Vec<usize>>, names: Option<Vec<&'a str>>, ) -> Result<Self>

Creates a new Tensor

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pub fn new_row_major( buffer: Buffer, shape: Option<Vec<usize>>, names: Option<Vec<&'a str>>, ) -> Result<Self>

Creates a new Tensor using row major memory layout

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pub fn new_column_major( buffer: Buffer, shape: Option<Vec<usize>>, names: Option<Vec<&'a str>>, ) -> Result<Self>

Creates a new Tensor using column major memory layout

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pub fn data_type(&self) -> &DataType

The data type of the Tensor

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pub fn shape(&self) -> Option<&Vec<usize>>

The sizes of the dimensions

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pub fn data(&self) -> &Buffer

Returns a reference to the underlying Buffer

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pub fn strides(&self) -> Option<&Vec<usize>>

The number of bytes between elements in each dimension

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pub fn names(&self) -> Option<&Vec<&'a str>>

The names of the dimensions

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pub fn ndim(&self) -> usize

The number of dimensions

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pub fn dim_name(&self, i: usize) -> Option<&'a str>

The name of dimension i

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pub fn size(&self) -> usize

The total number of elements in the Tensor

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pub fn is_contiguous(&self) -> Result<bool>

Indicates if the data is laid out contiguously in memory

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pub fn is_row_major(&self) -> Result<bool>

Indicates if the memory layout row major

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pub fn is_column_major(&self) -> Result<bool>

Indicates if the memory layout column major

Trait Implementations§

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impl<'a, T: Debug + ArrowPrimitiveType> Debug for Tensor<'a, T>

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

Formats the value using the given formatter. Read more

Auto Trait Implementations§

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impl<'a, T> Freeze for Tensor<'a, T>

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impl<'a, T> RefUnwindSafe for Tensor<'a, T>
where T: RefUnwindSafe,

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impl<'a, T> Send for Tensor<'a, T>
where T: Send,

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impl<'a, T> Sync for Tensor<'a, T>
where T: Sync,

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impl<'a, T> Unpin for Tensor<'a, T>
where T: Unpin,

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impl<'a, T> UnwindSafe for Tensor<'a, T>
where T: UnwindSafe,

Blanket 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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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<U> 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, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<T> Allocation for T
where T: RefUnwindSafe + Send + Sync,