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//! This file has been automatically generated by `objc2`'s `header-translator`.
//! DO NOT EDIT
use core::ffi::*;
use core::ptr::NonNull;
use objc2::__framework_prelude::*;
use crate::*;
extern_class!(
/// An instance normalization layer. For more information refer to https://pytorch.org/docs/stable/nn.html#instancenorm2d
///
/// See also [Apple's documentation](https://developer.apple.com/documentation/mlcompute/mlcinstancenormalizationlayer?language=objc)
#[unsafe(super(MLCLayer, NSObject))]
#[derive(Debug, PartialEq, Eq, Hash)]
#[cfg(feature = "MLCLayer")]
#[deprecated]
pub struct MLCInstanceNormalizationLayer;
);
#[cfg(feature = "MLCLayer")]
extern_conformance!(
unsafe impl NSObjectProtocol for MLCInstanceNormalizationLayer {}
);
#[cfg(feature = "MLCLayer")]
impl MLCInstanceNormalizationLayer {
extern_methods!(
/// The number of feature channels
#[deprecated]
#[unsafe(method(featureChannelCount))]
#[unsafe(method_family = none)]
pub unsafe fn featureChannelCount(&self) -> NSUInteger;
#[cfg(feature = "MLCTensor")]
/// The running mean tensor
#[unsafe(method(mean))]
#[unsafe(method_family = none)]
pub unsafe fn mean(&self) -> Option<Retained<MLCTensor>>;
#[cfg(feature = "MLCTensor")]
/// The running variance tensor
#[unsafe(method(variance))]
#[unsafe(method_family = none)]
pub unsafe fn variance(&self) -> Option<Retained<MLCTensor>>;
#[cfg(feature = "MLCTensor")]
/// The beta tensor
#[deprecated]
#[unsafe(method(beta))]
#[unsafe(method_family = none)]
pub unsafe fn beta(&self) -> Option<Retained<MLCTensor>>;
#[cfg(feature = "MLCTensor")]
/// The gamma tensor
#[deprecated]
#[unsafe(method(gamma))]
#[unsafe(method_family = none)]
pub unsafe fn gamma(&self) -> Option<Retained<MLCTensor>>;
#[cfg(feature = "MLCTensorParameter")]
/// The beta tensor parameter used for optimizer update
#[deprecated]
#[unsafe(method(betaParameter))]
#[unsafe(method_family = none)]
pub unsafe fn betaParameter(&self) -> Option<Retained<MLCTensorParameter>>;
#[cfg(feature = "MLCTensorParameter")]
/// The gamma tensor parameter used for optimizer update
#[deprecated]
#[unsafe(method(gammaParameter))]
#[unsafe(method_family = none)]
pub unsafe fn gammaParameter(&self) -> Option<Retained<MLCTensorParameter>>;
/// A value used for numerical stability
#[deprecated]
#[unsafe(method(varianceEpsilon))]
#[unsafe(method_family = none)]
pub unsafe fn varianceEpsilon(&self) -> c_float;
/// The value used for the running mean and variance computation
///
/// The default is 0.99f.
#[deprecated]
#[unsafe(method(momentum))]
#[unsafe(method_family = none)]
pub unsafe fn momentum(&self) -> c_float;
#[cfg(feature = "MLCTensor")]
/// Create an instance normalization layer
///
/// Parameter `featureChannelCount`: The number of feature channels
///
/// Parameter `beta`: The beta tensor
///
/// Parameter `gamma`: The gamma tensor
///
/// Parameter `varianceEpsilon`: The epslion value
///
/// Returns: A new instance normalization layer.
#[deprecated]
#[unsafe(method(layerWithFeatureChannelCount:beta:gamma:varianceEpsilon:))]
#[unsafe(method_family = none)]
pub unsafe fn layerWithFeatureChannelCount_beta_gamma_varianceEpsilon(
feature_channel_count: NSUInteger,
beta: Option<&MLCTensor>,
gamma: Option<&MLCTensor>,
variance_epsilon: c_float,
) -> Option<Retained<Self>>;
#[cfg(feature = "MLCTensor")]
/// Create an instance normalization layer
///
/// Parameter `featureChannelCount`: The number of feature channels
///
/// Parameter `beta`: The beta tensor
///
/// Parameter `gamma`: The gamma tensor
///
/// Parameter `varianceEpsilon`: The epslion value
///
/// Parameter `momentum`: The momentum value for the running mean and variance computation
///
/// Returns: A new instance normalization layer.
#[deprecated]
#[unsafe(method(layerWithFeatureChannelCount:beta:gamma:varianceEpsilon:momentum:))]
#[unsafe(method_family = none)]
pub unsafe fn layerWithFeatureChannelCount_beta_gamma_varianceEpsilon_momentum(
feature_channel_count: NSUInteger,
beta: Option<&MLCTensor>,
gamma: Option<&MLCTensor>,
variance_epsilon: c_float,
momentum: c_float,
) -> Option<Retained<Self>>;
#[cfg(feature = "MLCTensor")]
/// Create an instance normalization layer
///
/// Parameter `featureChannelCount`: The number of feature channels
///
/// Parameter `mean`: The running mean tensor
///
/// Parameter `variance`: The running variance tensor
///
/// Parameter `beta`: The beta tensor
///
/// Parameter `gamma`: The gamma tensor
///
/// Parameter `varianceEpsilon`: The epslion value
///
/// Parameter `momentum`: The momentum value for the running mean and variance computation
///
/// Returns: A new instance normalization layer.
#[unsafe(method(layerWithFeatureChannelCount:mean:variance:beta:gamma:varianceEpsilon:momentum:))]
#[unsafe(method_family = none)]
pub unsafe fn layerWithFeatureChannelCount_mean_variance_beta_gamma_varianceEpsilon_momentum(
feature_channel_count: NSUInteger,
mean: &MLCTensor,
variance: &MLCTensor,
beta: Option<&MLCTensor>,
gamma: Option<&MLCTensor>,
variance_epsilon: c_float,
momentum: c_float,
) -> Option<Retained<Self>>;
);
}
/// Methods declared on superclass `MLCLayer`.
#[cfg(feature = "MLCLayer")]
impl MLCInstanceNormalizationLayer {
extern_methods!(
#[deprecated]
#[unsafe(method(new))]
#[unsafe(method_family = new)]
pub unsafe fn new() -> Retained<Self>;
#[deprecated]
#[unsafe(method(init))]
#[unsafe(method_family = init)]
pub unsafe fn init(this: Allocated<Self>) -> Retained<Self>;
);
}