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Full Discussion: proceed through a menu-based program with a script?
Top Forums UNIX for Dummies Questions & Answers proceed through a menu-based program with a script? Post 302243101 by nichola$ on Friday 3rd of October 2008 05:01:46 PM
Old 10-03-2008
I checked out expect. that would be a great program to try for anyone else trying to do the same thing. I found out by searching the source code that there was a hidden option to run in batch mode. Thanks for the input.
 

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LEARN ABOUT MOJAVE

mpscnnbatchnormalizationnode

MPSCNNBatchNormalizationNode(3) 			 MetalPerformanceShaders.framework			   MPSCNNBatchNormalizationNode(3)

NAME

       MPSCNNBatchNormalizationNode

SYNOPSIS

       #import <MPSNNGraphNodes.h>

       Inherits MPSNNFilterNode.

   Instance Methods
       (nonnull instancetype) - initWithSource:dataSource:

   Class Methods
       (nonnull instancetype) + nodeWithSource:dataSource:

   Properties
       MPSCNNBatchNormalizationFlags flags

Detailed Description
       A node representing batch normalization for inference or training  Batch normalization operates differently for inference and training. For
       inference, the normalization is done according to a static statistical representation of data saved during training. For training, this
       representation is ever evolving. In the low level MPS batch normalization interface, during training, the batch normalization is broken up
       into two steps: calculation of the statistical representation of input data, followed by normalization once the statistics are known for
       the entire batch. These are MPSCNNBatchNormalizationStatistics and MPSCNNBatchNormalization, respectively.

       When this node appears in a graph and is not required to produce a MPSCNNBatchNormalizationState -- that is,
       MPSCNNBatchNormalizationNode.resultState is not used within the graph -- then it operates in inference mode and new batch-only statistics
       are not calculated. When this state node is consumed, then the node is assumed to be in training mode and new statistics will be calculated
       and written to the MPSCNNBatchNormalizationState and passed along to the MPSCNNBatchNormalizationGradient and
       MPSCNNBatchNormalizationStatisticsGradient as necessary. This should allow you to construct an identical sequence of nodes for inference
       and training and expect the to right thing happen.

Method Documentation
   - (nonnull instancetype) initWithSource: (MPSNNImageNode *__nonnull) source(nonnull id< MPSCNNBatchNormalizationDataSource >) dataSource
   + (nonnull instancetype) nodeWithSource: (MPSNNImageNode *__nonnull) source(nonnull id< MPSCNNBatchNormalizationDataSource >) dataSource
Property Documentation
   - (MPSCNNBatchNormalizationFlags) flags [read],  [write],  [nonatomic],  [assign]
       Options controlling how batch normalization is calculated  Default: MPSCNNBatchNormalizationFlagsDefault

Author
       Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code.

Version MetalPerformanceShaders-100				  Thu Feb 8 2018				   MPSCNNBatchNormalizationNode(3)
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