Package apple.metalperformanceshadersgraph

Class MPSGraphRandomOpDescriptor

    • Constructor Detail

      • MPSGraphRandomOpDescriptor

        protected MPSGraphRandomOpDescriptor​(org.moe.natj.general.Pointer peer)

    • Method Detail

      • accessInstanceVariablesDirectly

        public static boolean accessInstanceVariablesDirectly()

      • automaticallyNotifiesObserversForKey

        public static boolean automaticallyNotifiesObserversForKey​(@NotNull
                                                           @NotNull java.lang.String key)

      • cancelPreviousPerformRequestsWithTarget

        public static void cancelPreviousPerformRequestsWithTarget​(@NotNull
                                                           @NotNull java.lang.Object aTarget)

      • cancelPreviousPerformRequestsWithTargetSelectorObject

        public static void cancelPreviousPerformRequestsWithTargetSelectorObject​(@NotNull
                                                                         @NotNull java.lang.Object aTarget,
                                                                         @NotNull
                                                                         @NotNull org.moe.natj.objc.SEL aSelector,
                                                                         @Nullable
                                                                         @Nullable java.lang.Object anArgument)

      • classFallbacksForKeyedArchiver

        @NotNull
public static @NotNull NSArray<java.lang.String> classFallbacksForKeyedArchiver()

      • classForKeyedUnarchiver

        @NotNull
public static @NotNull org.moe.natj.objc.Class classForKeyedUnarchiver()

      • copyWithZone

        @NotNull
public @NotNull java.lang.Object copyWithZone​(@Nullable
                                              @Nullable org.moe.natj.general.ptr.VoidPtr zone)
        Specified by:
        copyWithZone in interface NSCopying

      • dataType

        public int dataType()
        The data type of the generated result values. When sampling from the uniform distribution, valid types are MPSDataTypeFloat16, MPSDataTypeFloat32, and MPSDataTypeInt32. When sampling from the normal or truncated normal distribution, valid types are MPSDataTypeFloat16 and MPSDataTypeFloat32.

      • debugDescription_static

        public static java.lang.String debugDescription_static()

      • description_static

        public static java.lang.String description_static()

      • descriptorWithDistributionDataType

        public static MPSGraphRandomOpDescriptor descriptorWithDistributionDataType​(long distribution,
                                                                            int dataType)

      • distribution

        public long distribution()
        The type of distribution to draw samples from. See MPSGraphRandomDistribution.

      • hash_static

        public static long hash_static()

      • instanceMethodSignatureForSelector

        public static NSMethodSignature instanceMethodSignatureForSelector​(org.moe.natj.objc.SEL aSelector)

      • instancesRespondToSelector

        public static boolean instancesRespondToSelector​(org.moe.natj.objc.SEL aSelector)

      • isSubclassOfClass

        public static boolean isSubclassOfClass​(org.moe.natj.objc.Class aClass)

      • keyPathsForValuesAffectingValueForKey

        @NotNull
public static @NotNull NSSet<java.lang.String> keyPathsForValuesAffectingValueForKey​(@NotNull
                                                                                     @NotNull java.lang.String key)

      • max

        public float max()
        The upper range of the distribution. This value is used for Uniform distributions with float data types and Truncated Normal disributions. Defaults to 1 for uniform distributions and 2 for normal distributions.

      • maxInteger

        public long maxInteger()
        The upper range of the distribution. This value is used for Uniform with integer data types Defaults to INT32_MAX for uniform distributions and 0 for normal distributions.

      • mean

        public float mean()
        The mean of the distribution. This value is used for Normal and Truncated Normal disributions. Defaults to 0.

      • min

        public float min()
        The lower range of the distribution. This value is used for Uniform distributions with float data types and Truncated Normal disributions. Defaults to 0 for uniform distributions and -2 for normal distributions.

      • minInteger

        public long minInteger()
        The lower range of the distribution. This value is used for Uniform with integer data types Defaults to 0.

      • resolveClassMethod

        public static boolean resolveClassMethod​(org.moe.natj.objc.SEL sel)

      • resolveInstanceMethod

        public static boolean resolveInstanceMethod​(org.moe.natj.objc.SEL sel)

      • samplingMethod

        public long samplingMethod()
        The sampling method of the distribution. This value is used for Normal and Truncated Normal disributions. See MPSGraphRandomNormalSamplingMethod. Defaults to MPSGraphRandomNormalSamplingInvCDF.

      • setDataType

        public void setDataType​(int value)
        The data type of the generated result values. When sampling from the uniform distribution, valid types are MPSDataTypeFloat16, MPSDataTypeFloat32, and MPSDataTypeInt32. When sampling from the normal or truncated normal distribution, valid types are MPSDataTypeFloat16 and MPSDataTypeFloat32.

      • setDistribution

        public void setDistribution​(long value)
        The type of distribution to draw samples from. See MPSGraphRandomDistribution.

      • setMax

        public void setMax​(float value)
        The upper range of the distribution. This value is used for Uniform distributions with float data types and Truncated Normal disributions. Defaults to 1 for uniform distributions and 2 for normal distributions.

      • setMaxInteger

        public void setMaxInteger​(long value)
        The upper range of the distribution. This value is used for Uniform with integer data types Defaults to INT32_MAX for uniform distributions and 0 for normal distributions.

      • setMean

        public void setMean​(float value)
        The mean of the distribution. This value is used for Normal and Truncated Normal disributions. Defaults to 0.

      • setMin

        public void setMin​(float value)
        The lower range of the distribution. This value is used for Uniform distributions with float data types and Truncated Normal disributions. Defaults to 0 for uniform distributions and -2 for normal distributions.

      • setMinInteger

        public void setMinInteger​(long value)
        The lower range of the distribution. This value is used for Uniform with integer data types Defaults to 0.

      • setSamplingMethod

        public void setSamplingMethod​(long value)
        The sampling method of the distribution. This value is used for Normal and Truncated Normal disributions. See MPSGraphRandomNormalSamplingMethod. Defaults to MPSGraphRandomNormalSamplingInvCDF.

      • setStandardDeviation

        public void setStandardDeviation​(float value)
        The standardDeviation of the distribution. This value is used for Normal and Truncated Normal disributions. For Truncated Normal distribution this defines the standard deviation parameter of the underlying Normal distribution, that is the width of the Gaussian, not the true standard deviation of the truncated distribution which typically differs from the standard deviation of the original Normal distribution. Defaults to 0 for uniform distributions and 1 for normal distributions.

      • setVersion_static

        public static void setVersion_static​(long aVersion)

      • standardDeviation

        public float standardDeviation()
        The standardDeviation of the distribution. This value is used for Normal and Truncated Normal disributions. For Truncated Normal distribution this defines the standard deviation parameter of the underlying Normal distribution, that is the width of the Gaussian, not the true standard deviation of the truncated distribution which typically differs from the standard deviation of the original Normal distribution. Defaults to 0 for uniform distributions and 1 for normal distributions.

      • superclass_static

        public static org.moe.natj.objc.Class superclass_static()

      • version_static

        public static long version_static()

      • useStoredAccessor

        @Deprecated
public static boolean useStoredAccessor()
        Deprecated.