#[repr(C)]pub struct MLCBatchNormalizationLayer { /* private fields */ }
MLCBatchNormalizationLayer
and MLCLayer
only.Expand description
A batch normalizaion layer
See also Appleโs documentation
Implementationsยง
Sourceยงimpl MLCBatchNormalizationLayer
impl MLCBatchNormalizationLayer
Sourcepub unsafe fn featureChannelCount(&self) -> NSUInteger
๐Deprecated
pub unsafe fn featureChannelCount(&self) -> NSUInteger
The number of feature channels
Sourcepub unsafe fn mean(&self) -> Retained<MLCTensor>
๐DeprecatedAvailable on crate feature MLCTensor
only.
pub unsafe fn mean(&self) -> Retained<MLCTensor>
MLCTensor
only.The mean tensor
Sourcepub unsafe fn variance(&self) -> Retained<MLCTensor>
๐DeprecatedAvailable on crate feature MLCTensor
only.
pub unsafe fn variance(&self) -> Retained<MLCTensor>
MLCTensor
only.The variance tensor
Sourcepub unsafe fn beta(&self) -> Option<Retained<MLCTensor>>
๐DeprecatedAvailable on crate feature MLCTensor
only.
pub unsafe fn beta(&self) -> Option<Retained<MLCTensor>>
MLCTensor
only.The beta tensor
Sourcepub unsafe fn gamma(&self) -> Option<Retained<MLCTensor>>
๐DeprecatedAvailable on crate feature MLCTensor
only.
pub unsafe fn gamma(&self) -> Option<Retained<MLCTensor>>
MLCTensor
only.The gamma tensor
Sourcepub unsafe fn betaParameter(&self) -> Option<Retained<MLCTensorParameter>>
๐DeprecatedAvailable on crate feature MLCTensorParameter
only.
pub unsafe fn betaParameter(&self) -> Option<Retained<MLCTensorParameter>>
MLCTensorParameter
only.The beta tensor parameter used for optimizer update
Sourcepub unsafe fn gammaParameter(&self) -> Option<Retained<MLCTensorParameter>>
๐DeprecatedAvailable on crate feature MLCTensorParameter
only.
pub unsafe fn gammaParameter(&self) -> Option<Retained<MLCTensorParameter>>
MLCTensorParameter
only.The gamma tensor parameter used for optimizer update
Sourcepub unsafe fn varianceEpsilon(&self) -> c_float
๐Deprecated
pub unsafe fn varianceEpsilon(&self) -> c_float
A value used for numerical stability
Sourcepub unsafe fn momentum(&self) -> c_float
๐Deprecated
pub unsafe fn momentum(&self) -> c_float
The value used for the running mean and variance computation
The default is 0.99f.
Sourcepub unsafe fn layerWithFeatureChannelCount_mean_variance_beta_gamma_varianceEpsilon(
feature_channel_count: NSUInteger,
mean: &MLCTensor,
variance: &MLCTensor,
beta: Option<&MLCTensor>,
gamma: Option<&MLCTensor>,
variance_epsilon: c_float,
) -> Option<Retained<Self>>
๐DeprecatedAvailable on crate feature MLCTensor
only.
pub unsafe fn layerWithFeatureChannelCount_mean_variance_beta_gamma_varianceEpsilon( feature_channel_count: NSUInteger, mean: &MLCTensor, variance: &MLCTensor, beta: Option<&MLCTensor>, gamma: Option<&MLCTensor>, variance_epsilon: c_float, ) -> Option<Retained<Self>>
MLCTensor
only.Create a batch normalization layer
Parameter featureChannelCount
: The number of feature channels
Parameter mean
: The mean tensor
Parameter variance
: The variance tensor
Parameter beta
: The beta tensor
Parameter gamma
: The gamma tensor
Parameter varianceEpsilon
: The epslion value
Returns: A new batch normalization layer.
Sourcepub 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>>
๐DeprecatedAvailable on crate feature MLCTensor
only.
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>>
MLCTensor
only.Create a batch normalization layer
Parameter featureChannelCount
: The number of feature channels
Parameter mean
: The mean tensor
Parameter variance
: The 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 batch normalization layer.
Methods from Deref<Target = MLCLayer>ยง
Sourcepub unsafe fn layerID(&self) -> NSUInteger
๐Deprecated
pub unsafe fn layerID(&self) -> NSUInteger
The layer ID
A unique number to identify each layer. Assigned when the layer is created.
Sourcepub unsafe fn label(&self) -> Retained<NSString>
๐Deprecated
pub unsafe fn label(&self) -> Retained<NSString>
A string to help identify this object.
Sourcepub unsafe fn isDebuggingEnabled(&self) -> bool
๐Deprecated
pub unsafe fn isDebuggingEnabled(&self) -> bool
A flag to identify if we want to debug this layer when executing a graph that includes this layer
If this is set, we will make sure that the result tensor and gradient tensors are available for reading on CPU The default is NO. If isDebuggingEnabled is set to YES, make sure to set options to enable debugging when compiling the graph. Otherwise this property may be ignored.
Sourcepub unsafe fn setIsDebuggingEnabled(&self, is_debugging_enabled: bool)
๐Deprecated
pub unsafe fn setIsDebuggingEnabled(&self, is_debugging_enabled: bool)
Setter for isDebuggingEnabled
.
Sourcepub unsafe fn deviceType(&self) -> MLCDeviceType
Available on crate feature MLCTypes
only.
pub unsafe fn deviceType(&self) -> MLCDeviceType
MLCTypes
only.The device type where this layer will be executed
Typically the MLCDevice passed to compileWithOptions will be the device used to execute layers in the graph. If MLCDeviceTypeANE is selected, it is possible that some of the layers of the graph may not be executed on the ANE but instead on the CPU or GPU. This property can be used to determine which device type the layer will be executed on.
Methods from Deref<Target = NSObject>ยง
Sourcepub fn doesNotRecognizeSelector(&self, sel: Sel) -> !
pub fn doesNotRecognizeSelector(&self, sel: Sel) -> !
Handle messages the object doesnโt recognize.
See Appleโs documentation for details.
Methods from Deref<Target = AnyObject>ยง
Sourcepub fn class(&self) -> &'static AnyClass
pub fn class(&self) -> &'static AnyClass
Dynamically find the class of this object.
ยงPanics
May panic if the object is invalid (which may be the case for objects
returned from unavailable init
/new
methods).
ยงExample
Check that an instance of NSObject
has the precise class NSObject
.
use objc2::ClassType;
use objc2::runtime::NSObject;
let obj = NSObject::new();
assert_eq!(obj.class(), NSObject::class());
Sourcepub unsafe fn get_ivar<T>(&self, name: &str) -> &Twhere
T: Encode,
๐Deprecated: this is difficult to use correctly, use Ivar::load
instead.
pub unsafe fn get_ivar<T>(&self, name: &str) -> &Twhere
T: Encode,
Ivar::load
instead.Use Ivar::load
instead.
ยงSafety
The object must have an instance variable with the given name, and it
must be of type T
.
See Ivar::load_ptr
for details surrounding this.
Sourcepub fn downcast_ref<T>(&self) -> Option<&T>where
T: DowncastTarget,
pub fn downcast_ref<T>(&self) -> Option<&T>where
T: DowncastTarget,
Attempt to downcast the object to a class of type T
.
This is the reference-variant. Use Retained::downcast
if you want
to convert a retained object to another type.
ยงMutable classes
Some classes have immutable and mutable variants, such as NSString
and NSMutableString
.
When some Objective-C API signature says it gives you an immutable class, it generally expects you to not mutate that, even though it may technically be mutable โunder the hoodโ.
So using this method to convert a NSString
to a NSMutableString
,
while not unsound, is generally frowned upon unless you created the
string yourself, or the API explicitly documents the string to be
mutable.
See Appleโs documentation on mutability and on
isKindOfClass:
for more details.
ยงGeneric classes
Objective-C generics are called โlightweight genericsโ, and thatโs because they arenโt exposed in the runtime. This makes it impossible to safely downcast to generic collections, so this is disallowed by this method.
You can, however, safely downcast to generic collections where all the
type-parameters are AnyObject
.
ยงPanics
This works internally by calling isKindOfClass:
. That means that the
object must have the instance method of that name, and an exception
will be thrown (if CoreFoundation is linked) or the process will abort
if that is not the case. In the vast majority of cases, you donโt need
to worry about this, since both root objects NSObject
and
NSProxy
implement this method.
ยงExamples
Cast an NSString
back and forth from NSObject
.
use objc2::rc::Retained;
use objc2_foundation::{NSObject, NSString};
let obj: Retained<NSObject> = NSString::new().into_super();
let string = obj.downcast_ref::<NSString>().unwrap();
// Or with `downcast`, if we do not need the object afterwards
let string = obj.downcast::<NSString>().unwrap();
Try (and fail) to cast an NSObject
to an NSString
.
use objc2_foundation::{NSObject, NSString};
let obj = NSObject::new();
assert!(obj.downcast_ref::<NSString>().is_none());
Try to cast to an array of strings.
use objc2_foundation::{NSArray, NSObject, NSString};
let arr = NSArray::from_retained_slice(&[NSObject::new()]);
// This is invalid and doesn't type check.
let arr = arr.downcast_ref::<NSArray<NSString>>();
This fails to compile, since it would require enumerating over the array to ensure that each element is of the desired type, which is a performance pitfall.
Downcast when processing each element instead.
use objc2_foundation::{NSArray, NSObject, NSString};
let arr = NSArray::from_retained_slice(&[NSObject::new()]);
for elem in arr {
if let Some(data) = elem.downcast_ref::<NSString>() {
// handle `data`
}
}
Trait Implementationsยง
Sourceยงimpl AsRef<AnyObject> for MLCBatchNormalizationLayer
impl AsRef<AnyObject> for MLCBatchNormalizationLayer
Sourceยงimpl AsRef<MLCLayer> for MLCBatchNormalizationLayer
impl AsRef<MLCLayer> for MLCBatchNormalizationLayer
Sourceยงimpl AsRef<NSObject> for MLCBatchNormalizationLayer
impl AsRef<NSObject> for MLCBatchNormalizationLayer
Sourceยงimpl Borrow<MLCLayer> for MLCBatchNormalizationLayer
impl Borrow<MLCLayer> for MLCBatchNormalizationLayer
Sourceยงimpl Borrow<NSObject> for MLCBatchNormalizationLayer
impl Borrow<NSObject> for MLCBatchNormalizationLayer
Sourceยงimpl ClassType for MLCBatchNormalizationLayer
impl ClassType for MLCBatchNormalizationLayer
Sourceยงconst NAME: &'static str = "MLCBatchNormalizationLayer"
const NAME: &'static str = "MLCBatchNormalizationLayer"
Sourceยงtype ThreadKind = <<MLCBatchNormalizationLayer as ClassType>::Super as ClassType>::ThreadKind
type ThreadKind = <<MLCBatchNormalizationLayer as ClassType>::Super as ClassType>::ThreadKind
Sourceยงimpl Debug for MLCBatchNormalizationLayer
impl Debug for MLCBatchNormalizationLayer
Sourceยงimpl Deref for MLCBatchNormalizationLayer
impl Deref for MLCBatchNormalizationLayer
Sourceยงimpl Hash for MLCBatchNormalizationLayer
impl Hash for MLCBatchNormalizationLayer
Sourceยงimpl NSObjectProtocol for MLCBatchNormalizationLayer
impl NSObjectProtocol for MLCBatchNormalizationLayer
Sourceยงfn isEqual(&self, other: Option<&AnyObject>) -> bool
fn isEqual(&self, other: Option<&AnyObject>) -> bool
Sourceยงfn hash(&self) -> usize
fn hash(&self) -> usize
Sourceยงfn isKindOfClass(&self, cls: &AnyClass) -> bool
fn isKindOfClass(&self, cls: &AnyClass) -> bool
Sourceยงfn is_kind_of<T>(&self) -> bool
fn is_kind_of<T>(&self) -> bool
isKindOfClass
directly, or cast your objects with AnyObject::downcast_ref