I have no idea what you're trying to do and the variable names don't make any sense to me, but the following is a reformatted, simplified version of your script that is a valid bash script (and is easier for humans to read) that produces some output that may be what you want:
Note that some double-quotes were added and others were removed, an if statement was removed by changing the printf format string, and I added opening parentheses to the case matching patterns. (The opening parentheses are allowed but are not required by bash, but if you're editing a larger script with an editor such as vi with a showmatch option, having them makes it much easier to find mismatched parentheses in places where they do matter.)
Hope this helps.
This User Gave Thanks to Don Cragun For This Post:
Hi, folks,
I have developed CK-ERP, which is an open source accounting / MRP / ERP / CRM system that runs on top of multiple middlewares. It provides accounting and back office functionalities to SMEs and utilizes the underlying middleware to administer accounts/groups.
Details about and... (0 Replies)
Dear all,
I am a newbie in solaris and I need your advice.
I have a Solaris version 5.9 installed on Sunfire V240.
I am able to ssh the machine from putty remotely.
My problem is that I cannot see the display from KVM switch I have connected to it. I need also to be able to see the GUI... (2 Replies)
Hi all
I have installed a demo version of SCO OpenServer 5.0.2, I finally found it is Desktop Interface, I would like to know how to change its interface to dos based interface?
If you have any ideas, please tell me then. Thank you (2 Replies)
Hi, folks,
A new release, v.0.30.1, of CK-ERP, has been posted, at SourceForge.Net, sourceforge.net/projects/ck-erp .
New features comprise seven new modules (ck-teacher, ck-counsellor, ck-student, ck-applicant, ck-family, ck-registrar, ck-eduadmin) for deployment within educational... (0 Replies)
Hi all,
I am a rookie regarding shell script programming, YET!! :-)
Hence, I have choosen a problem from my bad side of life (my job) and I wil try to solve it by using a shell script and get knowledge concerning shell script programming.
Question: As you can see I have already figured... (5 Replies)
A new project was posted on your project board.
Project title: Bash Shell Tutoring
Estimated Budget:
$50/hr
Start date:
Immediately
Required skills:
Linux, Bash, Shell, UNIX
I work as a datawarehouse designer and developer.
Although I usually stick to the role of an analyst,... (0 Replies)
Discussion started by: Neo
0 Replies
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)