Profiler | open source App project which intends to demonstrate
kandi X-RAY | Profiler Summary
kandi X-RAY | Profiler Summary
Profiler is an open source App project which intends to demonstrate a functional and adequetely tested "Social Media" Android App. I'll be building multiple iterations of the App, starting with basic features such as User Authentication and Data storage, moving towards features such as live Chat (it wouldn't be much of a Social Media app otherwise). I also take immense effort to use the best tools for the job for APIs and Software Architecture Patterns, insofar as my knowledge/experience with them will allow. The purpose of this project is to be both a tool to focus my own learning of Android Mobile Developement, and a teaching aid for when I feel comfortable explaining what I'm doing. Although I'm certainly not an Expert Developer, I've been told that my rambling has helped people in the past. I also frequently Livestream work on this project (among others), so that I'm able to both give and get feedback about Android Developement problems.
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Top functions reviewed by kandi - BETA
- Create view .
- Creates a new profile .
- Get user profile from database
- Gets user .
- Set up the listeners that will be used to render the text input .
- Retrieve current user .
- Logs user out .
- Request profile .
- Validates account credentials .
- Load image URLs if available .
Profiler Key Features
Profiler Examples and Code Snippets
Lines of Code : 46License : Non-SPDX (Apache License 2.0)
Copydef start(logdir, options=None):
"""Start profiling TensorFlow performance.
Args:
logdir: Profiling results log directory.
options: `ProfilerOptions` namedtuple to specify miscellaneous profiler
options. See example usage below.
def create_profiler_ui(graph,
run_metadata,
ui_type="curses",
on_ui_exit=None,
config=None):
"""Create an instance of CursesUI based on a `tf.Graph` and `Ru def start_server(port):
"""Start a profiler grpc server that listens to given port.
The profiler server will exit when the process finishes. The service is
defined in tensorflow/core/profiler/profiler_service.proto.
Args:
port: port pro Community Discussions
Trending Discussions on Profiler
QUESTION
I am fairly new to Tensorflow and I am having trouble with Dataset. I work on Windows 10, and the Tensorflow version is 2.6.0 used with CUDA. I have 2 numpy arrays that are X_train and X_test (already split). The train is 5Gb and the test is 1.5Gb. The shapes are:
X_train: (259018, 30, 30, 3),
Y_train: (259018, 1),
I create Datasets using the following code:
...ANSWER
Answered 2021-Sep-03 at 09:23That's working as designed. from_tensor_slices is really only useful for small amounts of data. Dataset is designed for large datasets that need to be streamed from disk.
The hard way but ideal way to do this would be to write your numpy array data to TFRecords then read them in as a dataset via TFRecordDataset. Here's the guide.
https://www.tensorflow.org/tutorials/load_data/tfrecord
The easier way but less performant way to do this would be Dataset.from_generator. Here is a minimal example:
QUESTION
So I'm trying to set up a GPU profiler on tensorboard but I am getting this error:
...ANSWER
Answered 2022-Mar-16 at 10:39TensorFlow 2.8 doesn't support CUDA 11.6. but requires 11.2 see docs
Seems you need to get in touch with the VM's owner to update the dependencies
QUESTION
I have implemented a Convolutional Neural Network in C and have been studying what parts of it have the longest latency.
Based on my research, the massive amounts of matricial multiplication required by CNNs makes running them on CPUs and even GPUs very inefficient. However, when I actually profiled my code (on an unoptimized build) I found out that something other than the multiplication itself was the bottleneck of the implementation.
After turning on optimization (-O3 -march=native -ffast-math, gcc cross compiler), the Gprof result was the following:
Clearly, the convolution2D function takes the largest amount of time to run, followed by the batch normalization and depthwise convolution functions.
The convolution function in question looks like this:
...ANSWER
Answered 2022-Mar-10 at 13:57Looking at the result of Cachegrind, it doesn't look like the memory is your bottleneck. The NN has to be stored in memory anyway, but if it's too large that your program's having a lot of L1 cache misses, then it's worth thinking to try to minimize L1 misses, but 1.7% of L1 (data) miss rate is not a problem.
So you're trying to make this run fast anyway. Looking at your code, what's happening at the most inner loop is very simple (load-> multiply -> add -> store), and it doesn't have any side effect other than the final store. This kind of code is easily parallelizable, for example, by multithreading or vectorizing. I think you'll know how to make this run in multiple threads seeing that you can write code with some complexity, and you asked in comments how to manually vectorize the code.
I will explain that part, but one thing to bear in mind is that once you choose to manually vectorize the code, it will often be tied to certain CPU architectures. Let's not consider non-AMD64 compatible CPUs like ARM. Still, you have the option of MMX, SSE, AVX, and AVX512 to choose as an extension for vectorized computation, and each extension has multiple versions. If you want maximum portability, SSE2 is a reasonable choice. SSE2 appeared with Pentium 4, and it supports 128-bit vectors. For this post I'll use AVX2, which supports 128-bit and 256-bit vectors. It runs fine on your CPU, and has reasonable portability these days, supported from Haswell (2013) and Excavator (2015).
The pattern you're using in the inner loop is called FMA (fused multiply and add). AVX2 has an instruction for this. Have a look at this function and the compiled output.
QUESTION
Using the profiler on SQL Server to monitor a stored procedure call via DBI/odbc, shows that dynamic SQL / prepared statement is generated :
ANSWER
Answered 2022-Feb-16 at 22:26I found what I was looking for in odbc package documentation : direct execution.
The odbc package uses Prepared Statements to compile the query once and reuse it, allowing large or repeated queries to be more efficient. However, prepared statements can actually perform worse in some cases, such as many different small queries that are all only executed once. Because of this the odbc package now also supports direct queries by specifying
immediate = TRUE.
This will use a prepared statement:
QUESTION
When I open Android Studio I receive a notification saying that an update is available:
...ANSWER
Answered 2022-Feb-10 at 11:09This issue was fixed by Google (10 February 2022).
You can now update Android Studio normally.
Thank you all for helping to bring this problem to Google's attention.
QUESTION
I am sorry but I am really confused and leery now, so I am resorting to SO to get some clarity.
I am running Android Studio Bumblebee and saw a notification about a major new release wit the following text:
...ANSWER
Answered 2022-Feb-10 at 11:10This issue was fixed by Google (10 February 2022).
You can now update Android Studio normally.
QUESTION
Updated Android Studio to Bumble Bee and wanted to use Network Inspector. Response is no longer plain text. It works well on Network Profiler of Arctic Fox (previous version of Android Studio). I tried to look at update docs but could not find anything in this direction. Is there some setting that needs to be changed?
Android Studio Bumblebee | 2021.1.1 Patch 1
...ANSWER
Answered 2022-Feb-09 at 09:36I had the same problem after updating Android Studio to Bumble Bee. Please set acceptable encodings in the request header. ("Accept-Encoding", "identity") It works for me.
QUESTION
In the "React Developer Tools" extension, a profiler has been added that displays the time spent on rendering. Are there any guidelines/table? For example, an acceptable render time for an average web application should be 50-300ms. Or like performance index in chrome developer tool?
...ANSWER
Answered 2022-Feb-07 at 13:10In generally, render should take about 16 milliseconds. Any longer than that and things start feeling really janky.
I would recommend this article on performance in react. He is explaining more about profiling and performance in react.
performance with react(with forms) : https://epicreact.dev/improve-the-performance-of-your-react-forms/
profiling article: https://kentcdodds.com/blog/profile-a-react-app-for-performance
QUESTION
I have an ASP.Net Webforms website running in IIS on a Windows Server. Also on this server is the SQL server.
Everything has been working fine with the site but now I am seeing issues with using a DataAdapter to fill a table.
So here is some code, please note it's just basic outline of code as actual code contains confidential information.
...ANSWER
Answered 2021-Nov-27 at 15:53Microsoft.Data.SqlClient 4.0 is using ENCRYPT=True by default. Either you put a certificate on the server (not a self signed one) or you put
TrustServerCertificate=Yes;
on the connection string.
QUESTION
I have a simple Table created in Azure SQL Database
...ANSWER
Answered 2022-Jan-14 at 18:33From what you have shared here I assume the delay is in network latency.
Dev Java App to Dev Server takes 6 seconds.
Azure Kubernetes App to Azure SQL Database takes 30 ms. Which I think is reasonable if you include the network latency between app and server. I dont think you will get result in 2 ms. If you get, please let me know ;)
Try to check network latency in some ways like doing on SELECT 1 query and calculate turnaround time.
interesting read:
https://azure.microsoft.com/en-in/blog/testing-client-latency-to-sql-azure/
https://docs.microsoft.com/en-us/archive/blogs/igorpag/azure-network-latency-sql-server-optimization
https://github.com/RicardoNiepel/azure-mysql-in-aks-sample
There is a way to measure latency network in java
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install Profiler
You can use Profiler like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Profiler component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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