02-13-2007
Padding is implementation dependent. Basically it means the the objects inside the struct have their beginning addresses moved (padded with bytes) so the start of each object can be accessed by the hardware efficiently.
Misalignment of objects can result in a SIGBUS core dump, or very much slower access to the object. Some compilers have a pragma to turn off or alter padding. Others provide warnings about padding.
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I have a file with records containing dates like:
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I would like to left pad with "0's" on first column say (width six)
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LEARN ABOUT MOJAVE
mpsnndefaultpadding
MPSNNDefaultPadding(3) MetalPerformanceShaders.framework MPSNNDefaultPadding(3)
NAME
MPSNNDefaultPadding
SYNOPSIS
#import <MPSNeuralNetworkTypes.h>
Inherits NSObject, and <MPSNNPadding>.
Instance Methods
(NSString *__nonnull) - label
Class Methods
(instancetype __nonnull) + paddingWithMethod:
(instancetype __nonnull) + paddingForTensorflowAveragePooling
(instancetype __nonnull) + paddingForTensorflowAveragePoolingValidOnly
Method Documentation
- (NSString * __nonnull) label
Human readable description of what the padding policy does
+ (instancetype __nonnull) paddingForTensorflowAveragePooling
A padding policy that attempts to reproduce TensorFlow behavior for average pooling Most TensorFlow padding is covered by the standard
MPSNNPaddingMethod encodings. You can use +paddingWithMethod to get quick access to MPSNNPadding objects, when default filter behavior
isn't enough. (It often is.) However, the edging for max pooling in TensorFlow is a bit unusual.
This padding method attempts to reproduce TensorFlow padding for average pooling. In addition to setting MPSNNPaddingMethodSizeSame |
MPSNNPaddingMethodAlignCentered | MPSNNPaddingMethodAddRemainderToBottomRight, it also configures the filter to run with
MPSImageEdgeModeClamp, which (as a special case for average pooling only), normalizes the sum of contributing samples to the area of valid
contributing pixels only.
// Sample implementation for the tensorflowPoolingPaddingPolicy returned
-(MPSNNPaddingMethod) paddingMethod{ return MPSNNPaddingMethodCustom | MPSNNPaddingMethodSizeSame; }
-(MPSImageDescriptor * __nonnull) destinationImageDescriptorForSourceImages: (NSArray <MPSImage *> *__nonnull) sourceImages
sourceStates: (NSArray <MPSState *> * __nullable) sourceStates
forKernel: (MPSKernel * __nonnull) kernel
suggestedDescriptor: (MPSImageDescriptor * __nonnull) inDescriptor
{
((MPSCNNKernel *)kernel).edgeMode = MPSImageEdgeModeClamp;
return inDescriptor;
}
+ (instancetype __nonnull) paddingForTensorflowAveragePoolingValidOnly
Typical pooling padding policy for valid only mode
+ (instancetype __nonnull) paddingWithMethod: (MPSNNPaddingMethod) method
Fetch a well known object that implements a non-custom padding method For custom padding methods, you will need to implement an object
that conforms to the full MPSNNPadding protocol, including NSSecureCoding.
Parameters:
method A MPSNNPaddingMethod
Returns:
An object that implements <MPSNNPadding> for use with MPSNNGraphNodes.
Author
Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code.
Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSNNDefaultPadding(3)