#[repr(C)]pub struct MLCAdamOptimizer { /* private fields */ }
MLCAdamOptimizer
and MLCOptimizer
only.Expand description
The MLCAdamOptimizer specifies the Adam optimizer.
See also Appleโs documentation
Implementationsยง
Sourceยงimpl MLCAdamOptimizer
impl MLCAdamOptimizer
Sourcepub unsafe fn beta1(&self) -> c_float
๐Deprecated
pub unsafe fn beta1(&self) -> c_float
Coefficent used for computing running averages of gradient.
The default is 0.9.
Sourcepub unsafe fn beta2(&self) -> c_float
๐Deprecated
pub unsafe fn beta2(&self) -> c_float
Coefficent used for computing running averages of square of gradient.
The default is 0.999.
Sourcepub unsafe fn epsilon(&self) -> c_float
๐Deprecated
pub unsafe fn epsilon(&self) -> c_float
A term added to improve numerical stability.
The default is 1e-8.
Sourcepub unsafe fn usesAMSGrad(&self) -> bool
๐Deprecated
pub unsafe fn usesAMSGrad(&self) -> bool
Whether to use the AMSGrad variant of this algorithm
The default is false
Sourcepub unsafe fn timeStep(&self) -> NSUInteger
๐Deprecated
pub unsafe fn timeStep(&self) -> NSUInteger
The current timestep used for the update.
The default is 1.
Sourcepub unsafe fn optimizerWithDescriptor(
optimizer_descriptor: &MLCOptimizerDescriptor,
) -> Retained<Self>
๐DeprecatedAvailable on crate feature MLCOptimizerDescriptor
only.
pub unsafe fn optimizerWithDescriptor( optimizer_descriptor: &MLCOptimizerDescriptor, ) -> Retained<Self>
MLCOptimizerDescriptor
only.Create a MLCAdamOptimizer object with defaults
Returns: A new MLCAdamOptimizer object.
Sourcepub unsafe fn optimizerWithDescriptor_beta1_beta2_epsilon_timeStep(
optimizer_descriptor: &MLCOptimizerDescriptor,
beta1: c_float,
beta2: c_float,
epsilon: c_float,
time_step: NSUInteger,
) -> Retained<Self>
๐DeprecatedAvailable on crate feature MLCOptimizerDescriptor
only.
pub unsafe fn optimizerWithDescriptor_beta1_beta2_epsilon_timeStep( optimizer_descriptor: &MLCOptimizerDescriptor, beta1: c_float, beta2: c_float, epsilon: c_float, time_step: NSUInteger, ) -> Retained<Self>
MLCOptimizerDescriptor
only.Create a MLCAdamOptimizer object
Parameter optimizerDescriptor
: The optimizer descriptor object
Parameter beta1
: The beta1 value
Parameter beta2
: The beta2 value
Parameter epsilon
: The epsilon value to use to improve numerical stability
Parameter timeStep
: The initial timestep to use for the update
Returns: A new MLCAdamOptimizer object.
Sourcepub unsafe fn optimizerWithDescriptor_beta1_beta2_epsilon_usesAMSGrad_timeStep(
optimizer_descriptor: &MLCOptimizerDescriptor,
beta1: c_float,
beta2: c_float,
epsilon: c_float,
uses_ams_grad: bool,
time_step: NSUInteger,
) -> Retained<Self>
Available on crate feature MLCOptimizerDescriptor
only.
pub unsafe fn optimizerWithDescriptor_beta1_beta2_epsilon_usesAMSGrad_timeStep( optimizer_descriptor: &MLCOptimizerDescriptor, beta1: c_float, beta2: c_float, epsilon: c_float, uses_ams_grad: bool, time_step: NSUInteger, ) -> Retained<Self>
MLCOptimizerDescriptor
only.Create a MLCAdamOptimizer object
Parameter optimizerDescriptor
: The optimizer descriptor object
Parameter beta1
: The beta1 value
Parameter beta2
: The beta2 value
Parameter epsilon
: The epsilon value to use to improve numerical stability
Parameter usesAMSGrad
: Whether to use the AMSGrad variant of this algorithm from the paper (https://arxiv.org/abs/1904.09237)
Parameter timeStep
: The initial timestep to use for the update
Returns: A new MLCAdamOptimizer object.
Methods from Deref<Target = MLCOptimizer>ยง
Sourcepub unsafe fn learningRate(&self) -> c_float
๐Deprecated
pub unsafe fn learningRate(&self) -> c_float
The learning rate. This property is โreadwriteโ so that callers can implement a โdecayโ during training
Sourcepub unsafe fn setLearningRate(&self, learning_rate: c_float)
๐Deprecated
pub unsafe fn setLearningRate(&self, learning_rate: c_float)
Setter for learningRate
.
Sourcepub unsafe fn gradientRescale(&self) -> c_float
๐Deprecated
pub unsafe fn gradientRescale(&self) -> c_float
The rescale value applied to gradients during optimizer update
Sourcepub unsafe fn appliesGradientClipping(&self) -> bool
๐Deprecated
pub unsafe fn appliesGradientClipping(&self) -> bool
Whether gradient clipping should be applied or not.
Sourcepub unsafe fn setAppliesGradientClipping(&self, applies_gradient_clipping: bool)
๐Deprecated
pub unsafe fn setAppliesGradientClipping(&self, applies_gradient_clipping: bool)
Setter for appliesGradientClipping
.
Sourcepub unsafe fn gradientClipMax(&self) -> c_float
๐Deprecated
pub unsafe fn gradientClipMax(&self) -> c_float
The maximum gradient value if gradient clipping is enabled before gradient is rescaled.
Sourcepub unsafe fn gradientClipMin(&self) -> c_float
๐Deprecated
pub unsafe fn gradientClipMin(&self) -> c_float
The minimum gradient value if gradient clipping is enabled before gradient is rescaled.
Sourcepub unsafe fn regularizationScale(&self) -> c_float
๐Deprecated
pub unsafe fn regularizationScale(&self) -> c_float
The regularization scale.
Sourcepub unsafe fn regularizationType(&self) -> MLCRegularizationType
๐DeprecatedAvailable on crate feature MLCTypes
only.
pub unsafe fn regularizationType(&self) -> MLCRegularizationType
MLCTypes
only.The regularization type.
Sourcepub unsafe fn gradientClippingType(&self) -> MLCGradientClippingType
Available on crate feature MLCTypes
only.
pub unsafe fn gradientClippingType(&self) -> MLCGradientClippingType
MLCTypes
only.The type of clipping applied to gradient
Sourcepub unsafe fn maximumClippingNorm(&self) -> c_float
pub unsafe fn maximumClippingNorm(&self) -> c_float
The maximum clipping value
Sourcepub unsafe fn customGlobalNorm(&self) -> c_float
pub unsafe fn customGlobalNorm(&self) -> c_float
Used only with MLCGradientClippingTypeByGlobalNorm. If non zero, this norm will be used in place of global norm.
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 MLCAdamOptimizer
impl AsRef<AnyObject> for MLCAdamOptimizer
Sourceยงimpl AsRef<MLCAdamOptimizer> for MLCAdamOptimizer
impl AsRef<MLCAdamOptimizer> for MLCAdamOptimizer
Sourceยงimpl AsRef<MLCOptimizer> for MLCAdamOptimizer
impl AsRef<MLCOptimizer> for MLCAdamOptimizer
Sourceยงfn as_ref(&self) -> &MLCOptimizer
fn as_ref(&self) -> &MLCOptimizer
Sourceยงimpl AsRef<NSObject> for MLCAdamOptimizer
impl AsRef<NSObject> for MLCAdamOptimizer
Sourceยงimpl Borrow<AnyObject> for MLCAdamOptimizer
impl Borrow<AnyObject> for MLCAdamOptimizer
Sourceยงimpl Borrow<MLCOptimizer> for MLCAdamOptimizer
impl Borrow<MLCOptimizer> for MLCAdamOptimizer
Sourceยงfn borrow(&self) -> &MLCOptimizer
fn borrow(&self) -> &MLCOptimizer
Sourceยงimpl Borrow<NSObject> for MLCAdamOptimizer
impl Borrow<NSObject> for MLCAdamOptimizer
Sourceยงimpl ClassType for MLCAdamOptimizer
impl ClassType for MLCAdamOptimizer
Sourceยงconst NAME: &'static str = "MLCAdamOptimizer"
const NAME: &'static str = "MLCAdamOptimizer"
Sourceยงtype Super = MLCOptimizer
type Super = MLCOptimizer
Sourceยงtype ThreadKind = <<MLCAdamOptimizer as ClassType>::Super as ClassType>::ThreadKind
type ThreadKind = <<MLCAdamOptimizer as ClassType>::Super as ClassType>::ThreadKind
Sourceยงimpl CopyingHelper for MLCAdamOptimizer
impl CopyingHelper for MLCAdamOptimizer
Sourceยงtype Result = MLCAdamOptimizer
type Result = MLCAdamOptimizer
Self
if the type has no
immutable counterpart. Read moreSourceยงimpl Debug for MLCAdamOptimizer
impl Debug for MLCAdamOptimizer
Sourceยงimpl Deref for MLCAdamOptimizer
impl Deref for MLCAdamOptimizer
Sourceยงimpl Hash for MLCAdamOptimizer
impl Hash for MLCAdamOptimizer
Sourceยงimpl Message for MLCAdamOptimizer
impl Message for MLCAdamOptimizer
Sourceยงimpl NSCopying for MLCAdamOptimizer
impl NSCopying for MLCAdamOptimizer
Sourceยงimpl NSObjectProtocol for MLCAdamOptimizer
impl NSObjectProtocol for MLCAdamOptimizer
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