Struct TensorValue 

pub struct TensorValue { /* private fields */ }

Owned tensor value with one move-only physical owner and metadata-only layout.

TensorValue is intentionally not cloneable. View transformations consume the value and move its existing owner; TensorValue::duplicate is the explicit boundary for creating another physical allocation.

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
let view = value.transpose_view([1, 0])?;
assert_eq!(view.strides(), &[2, 1]);
assert!(view.is_view());

Implementations

impl TensorValue

pub fn duplicate(&self) -> Result<TensorValue, Error>

Explicitly duplicate the physical owner represented by this value.

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2], vec![3., 4.])?);
let copy = value.duplicate()?.into_tensor()?;
assert_eq!(copy.as_slice::<f64>()?, &[3., 4.]);
assert_eq!(value.shape(), &[2]);

Errors

Returns crate::Error::RuntimeState or crate::Error::Unsupported when the backend/storage owner cannot be duplicated.

pub fn from_tensor(tensor: Tensor) -> TensorValue

Retain a compact tensor as a move-only value.

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2], vec![3., 4.])?);
assert!(!value.is_view());
assert_eq!(value.into_tensor()?.as_slice::<f64>()?, &[3., 4.]);

pub fn from_parts( tensor: Tensor, shape: Vec<usize>, strides: Vec<isize>, offset: isize, ) -> Result<TensorValue, Error>

Errors

Returns ValidationError::InvalidArgument or ValidationError::IntegerOverflow when the supplied layout is invalid for the tensor’s physical buffer.

Examples

use tenferro_tensor::{Tensor, TensorValue};
let tensor = Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?;
let view = TensorValue::from_parts(tensor, vec![2], vec![1], 2)?;
assert_eq!(view.shape(), &[2]);
assert_eq!(view.offset(), 2);

pub fn into_tensor(self) -> Result<Tensor, Error>

Consume a value with its owner’s original layout and return that owner.

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2], vec![3., 4.])?);
assert_eq!(value.into_tensor()?.as_slice::<f64>()?, &[3., 4.]);

Errors

Returns crate::Error::Unsupported when the value’s metadata-only view differs from its physical owner’s layout.

pub fn as_tensor(&self) -> Option<&Tensor>

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
assert_eq!(value.as_tensor().unwrap().as_slice::<f64>()?, &[1., 2., 3., 4.]);
assert!(value.transpose_view([1, 0])?.as_tensor().is_none());

pub fn is_view(&self) -> bool

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
assert!(!value.is_view());
assert!(value.transpose_view([1, 0])?.is_view());

pub fn dtype(&self) -> DType

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
assert_eq!(value.dtype(), tenferro_tensor::DType::F64);

pub fn shape(&self) -> &[usize]

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
assert_eq!(value.reshape_view([4])?.shape(), &[4]);

pub fn strides(&self) -> &[isize]

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
assert_eq!(value.transpose_view([1, 0])?.strides(), &[2, 1]);

pub fn offset(&self) -> isize

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
assert_eq!(value.offset(), 0);

pub fn tensor_view(&self) -> TensorView<'_>

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
let view = value.tensor_view();
assert_eq!(view.shape(), &[2, 2]);
assert_eq!(view.dtype(), tenferro_tensor::DType::F64);

pub fn tensor_read(&self) -> TensorRead<'_>

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
let read = value.tensor_read();
assert_eq!(read.shape(), &[2, 2]);
assert_eq!(read.dtype(), tenferro_tensor::DType::F64);

pub fn transpose_view( self, axes: impl AsRef<[usize]>, ) -> Result<TensorValue, Error>

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::InvalidPermutationLength, tenferro_tensor_core::ValidationError::AxisOutOfBounds, or tenferro_tensor_core::ValidationError::DuplicateAxis when axes is not a valid permutation of the value rank.

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
let view = value.transpose_view([1, 0])?;
assert_eq!(view.strides(), &[2, 1]);
assert!(view.is_view());

pub fn try_reshape_view( self, shape: impl IntoShapeVec, ) -> Result<TensorValue, TensorValueViewError>

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::NonContiguousViewAsSlice when the source is not compact column-major, tenferro_tensor_core::ValidationError::ShapeMismatch (whose tenferro_tensor_core::ShapeMismatch::ReshapeElementCount source records the counts) when element counts differ, tenferro_tensor_core::ValidationError::IntegerOverflow for shape arithmetic overflow, or tenferro_tensor_core::ValidationError::ViewOutOfBounds when the reshaped view exceeds the backing buffer.

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
let (recovered, error) = value.try_reshape_view([3]).unwrap_err().into_parts();
assert_eq!(recovered.into_tensor()?.as_slice::<f64>()?, &[1., 2., 3., 4.]);
assert!(matches!(error, tenferro_tensor::Error::Validation { .. }));

pub fn reshape_view( self, shape: impl IntoShapeVec, ) -> Result<TensorValue, Error>

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::NonContiguousViewAsSlice when the source is not compact, tenferro_tensor_core::ValidationError::ShapeMismatch when element counts differ, or tenferro_tensor_core::ValidationError::IntegerOverflow / tenferro_tensor_core::ValidationError::ViewOutOfBounds for invalid target-shape arithmetic or bounds.

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
let view = value.reshape_view([4])?;
assert_eq!(view.shape(), &[4]);
assert_eq!(view.strides(), &[1]);

pub fn slice_view(self, config: &SliceConfig) -> Result<TensorValue, Error>

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::RankMismatch when a slice vector does not match the value rank, tenferro_tensor_core::ValidationError::InvalidArgument when a bound or stride cannot be represented or is invalid, tenferro_tensor_core::ValidationError::InvalidSliceStep or tenferro_tensor_core::ValidationError::InvalidSliceBounds for slice parameters, tenferro_tensor_core::ValidationError::IntegerOverflow for slice arithmetic overflow, or tenferro_tensor_core::ValidationError::ViewOutOfBounds when the result exceeds the backing buffer.

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2, 2], vec![1., 2., 3., 4.])?);
let view = value.slice_view(&tenferro_tensor::SliceConfig {
   starts: vec![0, 1], limits: vec![2, 2], strides: vec![1, 1],
})?;
assert_eq!(view.shape(), &[2, 1]);
assert_eq!(view.offset(), 2);

pub fn broadcast_in_dim_view( self, shape: impl IntoShapeVec, dims: impl AsRef<[usize]>, ) -> Result<TensorValue, Error>

Errors

Returns crate::Error::Validation with tenferro_tensor_core::ValidationError::RankMismatch, tenferro_tensor_core::ValidationError::AxisOutOfBounds, or tenferro_tensor_core::ValidationError::DuplicateAxis for invalid dimension mappings, tenferro_tensor_core::ValidationError::ShapeDataLengthMismatch for incompatible extents, tenferro_tensor_core::ValidationError::ViewOutOfBounds when the result exceeds the backing buffer, or tenferro_tensor_core::ValidationError::IntegerOverflow for layout arithmetic overflow.

Examples

use tenferro_tensor::{Tensor, TensorValue};
let value = TensorValue::from_tensor(Tensor::from_vec_col_major([2], vec![3., 4.])?);
let view = value.broadcast_in_dim_view([2, 3], [0])?;
assert_eq!(view.shape(), &[2, 3]);
assert_eq!(view.strides(), &[1, 0]);

Trait Implementations

impl Debug for TensorValue

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

Formats the value using the given formatter.