#![allow(non_snake_case, non_camel_case_types, non_upper_case_globals, clashing_extern_declarations, clippy::all)] #[cfg(feature = "AI_MachineLearning_Preview")] pub mod Preview; #[link(name = "windows")] extern "system" {} pub type ILearningModelFeatureDescriptor = *mut ::core::ffi::c_void; pub type ILearningModelFeatureValue = *mut ::core::ffi::c_void; pub type ILearningModelOperatorProvider = *mut ::core::ffi::c_void; pub type ITensor = *mut ::core::ffi::c_void; pub type ImageFeatureDescriptor = *mut ::core::ffi::c_void; pub type ImageFeatureValue = *mut ::core::ffi::c_void; pub type LearningModel = *mut ::core::ffi::c_void; pub type LearningModelBinding = *mut ::core::ffi::c_void; pub type LearningModelDevice = *mut ::core::ffi::c_void; #[repr(transparent)] pub struct LearningModelDeviceKind(pub i32); impl LearningModelDeviceKind { pub const Default: Self = Self(0i32); pub const Cpu: Self = Self(1i32); pub const DirectX: Self = Self(2i32); pub const DirectXHighPerformance: Self = Self(3i32); pub const DirectXMinPower: Self = Self(4i32); } impl ::core::marker::Copy for LearningModelDeviceKind {} impl ::core::clone::Clone for LearningModelDeviceKind { fn clone(&self) -> Self { *self } } pub type LearningModelEvaluationResult = *mut ::core::ffi::c_void; #[repr(transparent)] pub struct LearningModelFeatureKind(pub i32); impl LearningModelFeatureKind { pub const Tensor: Self = Self(0i32); pub const Sequence: Self = Self(1i32); pub const Map: Self = Self(2i32); pub const Image: Self = Self(3i32); } impl ::core::marker::Copy for LearningModelFeatureKind {} impl ::core::clone::Clone for LearningModelFeatureKind { fn clone(&self) -> Self { *self } } #[repr(transparent)] pub struct LearningModelPixelRange(pub i32); impl LearningModelPixelRange { pub const ZeroTo255: Self = Self(0i32); pub const ZeroToOne: Self = Self(1i32); pub const MinusOneToOne: Self = Self(2i32); } impl ::core::marker::Copy for LearningModelPixelRange {} impl ::core::clone::Clone for LearningModelPixelRange { fn clone(&self) -> Self { *self } } pub type LearningModelSession = *mut ::core::ffi::c_void; pub type LearningModelSessionOptions = *mut ::core::ffi::c_void; pub type MapFeatureDescriptor = *mut ::core::ffi::c_void; pub type SequenceFeatureDescriptor = *mut ::core::ffi::c_void; pub type TensorBoolean = *mut ::core::ffi::c_void; pub type TensorDouble = *mut ::core::ffi::c_void; pub type TensorFeatureDescriptor = *mut ::core::ffi::c_void; pub type TensorFloat = *mut ::core::ffi::c_void; pub type TensorFloat16Bit = *mut ::core::ffi::c_void; pub type TensorInt16Bit = *mut ::core::ffi::c_void; pub type TensorInt32Bit = *mut ::core::ffi::c_void; pub type TensorInt64Bit = *mut ::core::ffi::c_void; pub type TensorInt8Bit = *mut ::core::ffi::c_void; #[repr(transparent)] pub struct TensorKind(pub i32); impl TensorKind { pub const Undefined: Self = Self(0i32); pub const Float: Self = Self(1i32); pub const UInt8: Self = Self(2i32); pub const Int8: Self = Self(3i32); pub const UInt16: Self = Self(4i32); pub const Int16: Self = Self(5i32); pub const Int32: Self = Self(6i32); pub const Int64: Self = Self(7i32); pub const String: Self = Self(8i32); pub const Boolean: Self = Self(9i32); pub const Float16: Self = Self(10i32); pub const Double: Self = Self(11i32); pub const UInt32: Self = Self(12i32); pub const UInt64: Self = Self(13i32); pub const Complex64: Self = Self(14i32); pub const Complex128: Self = Self(15i32); } impl ::core::marker::Copy for TensorKind {} impl ::core::clone::Clone for TensorKind { fn clone(&self) -> Self { *self } } pub type TensorString = *mut ::core::ffi::c_void; pub type TensorUInt16Bit = *mut ::core::ffi::c_void; pub type TensorUInt32Bit = *mut ::core::ffi::c_void; pub type TensorUInt64Bit = *mut ::core::ffi::c_void; pub type TensorUInt8Bit = *mut ::core::ffi::c_void;