Hi all,
I am new to unix shell scripting and I am trying to append batch number that comes in Trailer record to the detailed record.
TR|20080312|22881 |000000005|20080319|2202
LN|20080312|077777722220 |0000100000017|ABS
LN|20080312|000799439326 |0000709943937|AA
TR|20080313|22897 ... (6 Replies)
Hi,
Below is my script which creates a file:
#!/bin/sh
if
then
echo "Enter bill period "
echo "Syntax: sh cpd.sh G08"
exit
fi
sqlplus uname/pwd@dbname <<EOF
set WRAP off
set FEEDBACK off
set PAGESIZE 0
set VERIFY off (14 Replies)
Hi guys I need you ,please help me
i have to do this for tomorow and i don't understand how to do
Q1 : Order the words of RADIO.txt by frequency
Q2 : Order the words of RADIO.txt in alphabétique order
Q3 : Order the words of RADIO.txt par ordre "rhymique" (exemple, put togeder words which are... (1 Reply)
With an input file like this:
How can I get an output like this?
(In the quoted examples, the "_" sign represents an empty space)
Note that there are some minus signs and no spaces, in the example above the first character of the first line is an empty space, so each number spans 10... (16 Replies)
Is it possible to re-order certain rows as columns (of large files).
Few lines from the file for reference.
input
Splicing Factor: Tra2beta, Motif: aaguguu, Cutoff: 0.5000
Sequence Position Genomic Coordinate K-mer Score
97 chr1:67052604 uacuguu 0.571
147... (3 Replies)
Hello everyone. I am new to shell scripting and i am required to create a shell script, the purpose of which i will explain below.
I am on a solaris server btw.
Before delving into the requirements, i will give youse an overview of what is currently in place and its purpose.
... (2 Replies)
Thanks for RudiC for his extraordinary help on organizing files in a batch of 10 using below code.
FL=($(ls));
for ((i=0;i<=${#FL};i++)); do
for j in ${FL:$i:10};
do
$batch ${j} ${j}.txt
done;
echo "Pausing for next iteration";
echo... (6 Replies)
Discussion started by: busyboy
6 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)