build(deps): bump ort from 2.0.0-rc.0 to 2.0.0-rc.1 in /rust

[dependabot]

Bumps ort from 2.0.0-rc.0 to 2.0.0-rc.1.

Release notes

Sourced from ort's releases.

v2.0.0-rc.1

Value specialization

The Value struct has been refactored into multiple strongly-typed structs: Tensor<T>, Map<K, V>, and Sequence<T>, and their type-erased variants: DynTensor, DynMap, and DynSequence.

Values returned by session inference are now DynValues, which behave exactly the same as Value in previous versions.

Tensors created from Rust, like via the new Tensor::new function, can be directly and infallibly extracted into its underlying data via extract_tensor (no try_):

let allocator = Allocator::new(&session, MemoryInfo::new(AllocationDevice::CUDAPinned, 0, AllocatorType::Device, MemoryType::CPUInput)?)?;
let tensor = Tensor::<f32>::new(&allocator, [1, 128, 128, 3])?;
let array = tensor.extract_array();
// no need to specify type or handle errors - Tensor<f32> can only extract into an f32 ArrayView

You can still extract tensors, maps, or sequence values normally from a DynValue using try_extract_*:

let generated_tokens: ArrayViewD<f32> = outputs["output1"].try_extract_tensor()?;

DynValue can be upcast()ed to the more specialized types, like DynMap or Tensor<T>:

let tensor: Tensor<f32> = value.upcast()?;
let map: DynMap = value.upcast()?;

Similarly, a strongly-typed value like Tensor<T> can be downcast back into a DynValue or DynTensor.

let dyn_tensor: DynTensor = tensor.downcast();
let dyn_value: DynValue = tensor.into_dyn();

Tensor extraction directly returns an ArrayView

extract_tensor (and now try_extract_tensor) now return an ndarray::ArrayView directly, instead of putting it behind the old ort::Tensor<T> type (not to be confused with the new specialized value type). This means you don't have to .view() on the result:

-let generated_tokens: Tensor<f32> = outputs["output1"].extract_tensor()?;
-let generated_tokens = generated_tokens.view();
+let generated_tokens: ArrayViewD<f32> = outputs["output1"].try_extract_tensor()?;

Full support for sequence & map values

You can now construct and extract Sequence/Map values.

Value views

You can now obtain a view of any Value via the new view() and view_mut() functions, which operate similar to ndarray's own view system. These views can also now be passed into session inputs.

Mutable tensor extraction

You can extract a mutable ArrayViewMut or &mut [T] from a mutable reference to a tensor.

let (raw_shape, raw_data) = tensor.extract_raw_tensor_mut();
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