TensorCreationOptions

Struct TensorCreationOptions 

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pub struct TensorCreationOptions<B: Backend> {
    pub device: Device<B>,
    pub dtype: Option<DType>,
}
Expand description

Options for tensor creation.

This struct allows specifying the device and/or data type (dtype) when creating a tensor.

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§device: Device<B>

Device where the tensor will be created.

§dtype: Option<DType>

Optional data type. If None, the dtype will be inferred on creation from the backend’s default dtype for the tensor kind.

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impl<B: Backend> TensorCreationOptions<B>

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pub fn new(device: Device<B>) -> Self

Create new options with a specific device.

Data type will be inferred on creation from the backend’s default dtype for the tensor kind.

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pub fn with_dtype(self, dtype: DType) -> Self

Set the tensor creation data type.

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pub fn with_device(self, device: Device<B>) -> Self

Set the tensor creation device.

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pub fn float() -> Self

Create options with backend’s default device and float dtype.

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pub fn int() -> Self

Create options with backend’s default device and int dtype.

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pub fn bool() -> Self

Create options with backend’s default device and bool dtype.

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pub fn dtype_or(&self, dtype: DType) -> DType

Returns the tensor data type, or a provided default if not set.

This is useful for cases where TensorCreationOptions may not have an explicit dtype.

Trait Implementations§

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impl<B: Clone + Backend> Clone for TensorCreationOptions<B>

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fn clone(&self) -> TensorCreationOptions<B>

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl<B: Debug + Backend> Debug for TensorCreationOptions<B>

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

Formats the value using the given formatter. Read more
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impl<B: Backend> Default for TensorCreationOptions<B>

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fn default() -> Self

Returns new options with the backend’s default device.

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impl<B: Backend> From<&<B as Backend>::Device> for TensorCreationOptions<B>

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fn from(device: &Device<B>) -> Self

Convenience conversion from a reference to a device.

Example:

use burn_tensor::backend::Backend;
use burn_tensor::TensorCreationOptions;

fn example<B: Backend>(device: B::Device) {
    let options: TensorCreationOptions<B> = (&device).into();
}
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impl<B: Backend> From<(&<B as Backend>::Device, DType)> for TensorCreationOptions<B>

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fn from(args: (&Device<B>, DType)) -> Self

Convenience conversion for a specified (&device, dtype) tuple.

Auto Trait 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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where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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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> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. 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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where T: Clone,

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type Owned = T

The resulting type after obtaining ownership.
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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
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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<V, T> VZip<V> for T
where V: MultiLane<T>,

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fn vzip(self) -> V