fix: doc references to AllocationDevice::CUDA_PINNED

docs/pages/migrating/v2.mdx

@@ -23,7 +23,7 @@ Values returned by session inference are now `DynValue`s, which behave exactly t
 
 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_`):
 ```rust
-let allocator = Allocator::new(&session, MemoryInfo::new(AllocationDevice::CUDAPinned, 0, AllocatorType::Device, MemoryType::CPUInput)?)?;
+let allocator = Allocator::new(&session, MemoryInfo::new(AllocationDevice::CUDA_PINNED, 0, AllocatorType::Device, MemoryType::CPUInput)?)?;
 let tensor = Tensor::<f32>::new(&allocator, [1, 128, 128, 3])?;
 
 let array = tensor.extract_array();

src/io_binding.rs

@@ -57,7 +57,7 @@ use crate::{
 ///
 /// let input_allocator = Allocator::new(
 /// 	&unet,
-/// 	MemoryInfo::new(AllocationDevice::CUDAPinned, 0, AllocatorType::Device, MemoryType::CPUInput)?
+/// 	MemoryInfo::new(AllocationDevice::CUDA_PINNED, 0, AllocatorType::Device, MemoryType::CPUInput)?
 /// )?;
 /// let mut latents = Tensor::<f32>::new(&input_allocator, [1, 4, 64, 64])?;
 ///
@@ -66,7 +66,7 @@ use crate::{
 ///
 /// let output_allocator = Allocator::new(
 /// 	&unet,
-/// 	MemoryInfo::new(AllocationDevice::CUDAPinned, 0, AllocatorType::Device, MemoryType::CPUOutput)?
+/// 	MemoryInfo::new(AllocationDevice::CUDA_PINNED, 0, AllocatorType::Device, MemoryType::CPUOutput)?
 /// )?;
 /// io_binding.bind_output("noise_pred", Tensor::<f32>::new(&output_allocator, [1, 4, 64, 64])?)?;
 ///

src/memory.rs

@@ -50,7 +50,7 @@ use crate::{
 /// # let session = Session::builder()?.commit_from_file("tests/data/upsample.onnx")?;
 /// let allocator = Allocator::new(
 /// 	&session,
-/// 	MemoryInfo::new(AllocationDevice::CUDAPinned, 0, AllocatorType::Device, MemoryType::CPUInput)?
+/// 	MemoryInfo::new(AllocationDevice::CUDA_PINNED, 0, AllocatorType::Device, MemoryType::CPUInput)?
 /// )?;
 ///
 /// // Create a tensor with our pinned allocator.

src/value/impl_tensor/create.rs

@@ -98,7 +98,7 @@ impl<T: PrimitiveTensorElementType + Debug> Tensor<T> {
 	/// # let session = Session::builder()?.commit_from_file("tests/data/upsample.onnx")?;
 	/// let allocator = Allocator::new(
 	/// 	&session,
-	/// 	MemoryInfo::new(AllocationDevice::CUDAPinned, 0, AllocatorType::Device, MemoryType::CPUInput)?
+	/// 	MemoryInfo::new(AllocationDevice::CUDA_PINNED, 0, AllocatorType::Device, MemoryType::CPUInput)?
 	/// )?;
 	///
 	/// let mut img_input = Tensor::<f32>::new(&allocator, [1, 128, 128, 3])?;