Hi, folks.
Sorry for bothering, but maybe someone could help me please.
The problem is the following:
there is some script that copies files from local file system to AFS. The copying is performed with dd command.
The script copies data into some AFS volumes.
The problem appeared with one... (0 Replies)
Hi
Please help me with the following problem with my script.
The following block of code is not repeating in the while loop and exiting after searching for first message.
input_file
==========
host001-01
host001-02
2008-07-23 13:02:04,651 ConnectionFactory - Setting session state... (2 Replies)
1) when user login to the server the session got colosed. How will resolve?
2) While firing the command ls -l we are not able to see the any files in the director. but over all view the file system using the command df -g it is showing 91% used. what will be the problem?
Thanks in advance. (1 Reply)
Hi,
i've a redhat linux 9 upadated by redhat from 7 version to 9 version. A couple of days ago i was a problem with my mail, in other words i'm not able to get any email nor to send any email. I've a proxy configuration and i tried to set iptables in order to verify the port. The 110,255 and 995... (1 Reply)
At work I am trying to get this one Linux machine (let's call it ctesgm07) to behave like another Linux machine that we have (let's call it test007).
test007 returns the following version info:
cat /etc/debian_version: lenny/sid
uname -a: Linux test007 2.6.27-7-generic #1 SMP Tue Nov 4... (0 Replies)
Dear ALL.
I installed AIX OS on customer sites.
but Only one site is too slow when I connected telnet, ftp..
Ping is too fast. but telnet and FTP is not connected..
of course i check the configuration file on aix but it's normal.
Do any Idea??
thanks in advance.
- Jun - (3 Replies)
Hi,
This is rather a question from a "user" than from a sys admin, but I think this forum is apropriate for the question.
I have an adress with automatic email forwarding and for some senders (two hietherto), emails are bouncing. This has really created a lot of problems those two time so I... (0 Replies)
Hi,
I need to pass a typecasted structure pointer of one structure to another structure pointer..
The parameters of both structures are different say if first structure has int, char datatypes and second structure has float, double,char..
Please help.. I need to get the values of one... (3 Replies)
I don't know if you guys get this problem sometimes at Terminal but I had been having this problem since yesterday :( Maybe I overdid the Terminal. Even the codes that used to work doesn't work anymore.
Here is what 's happening:
* I wanted to remove lines containing digits so I used this... (25 Replies)
Hi everyone,
I am experiencing discontinuity of Internet service, this started 1 month ago. Everything worked very well for 1 year of intensive use, but now, I have problems reaching my gateway.
The gateway is not my router but a node belonging to my ISP and I share the same public IP with... (3 Replies)
Discussion started by: remic
3 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)