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DLPackTensor

Struct DLPackTensor 

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pub struct DLPackTensor { /* private fields */ }
Expand description

Opaque handle to a DLPack DLManagedTensor.

This is a GPU tensor representation used for zero-copy exchange with frameworks like PyTorch and CuPy.

§Requirements

  • All columns must have the same numeric data type.
  • Null count must be zero for all columns.

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impl DLPackTensor

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pub fn from_table(table: &Table) -> Result<Self>

Convert a table to a DLPack tensor.

§Errors

Returns an error if columns have different types, non-numeric types, or non-zero null counts.

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pub fn to_table(self) -> Result<Table>

Import a table from this DLPack tensor, consuming the tensor.

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pub fn as_raw_ptr(&self) -> usize

Get the raw DLManagedTensor* pointer as usize.

This is useful for passing to Python / C frameworks. The caller must NOT free the tensor; it is still owned by this handle.

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pub unsafe fn from_raw_ptr(ptr: usize) -> Self

Create from a raw DLManagedTensor* pointer.

§Safety

The pointer must be a valid DLManagedTensor* with a working deleter.

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impl Drop for DLPackTensor

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fn drop(&mut self)

Executes the destructor for this type. Read more

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

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fn borrow(&self) -> &T

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impl<T> BorrowMut<T> for T
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fn borrow_mut(&mut self) -> &mut T

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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
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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
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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
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