akg | Auto Kernel Generator ) is an optimizer for operators | Machine Learning library
kandi X-RAY | akg Summary
kandi X-RAY | akg Summary
AKG(Auto Kernel Generator) is an optimizer for operators in Deep Learning Networks. It provides the ability to automatically fuse ops with specific patterns. AKG works with MindSpore-GraphKernel to improve the performance of networks running on different hardware backends. AKG composes with three basic optimization module, normalization, auto schedule and backend optimization.
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akg Key Features
akg Examples and Code Snippets
Community Discussions
Trending Discussions on akg
QUESTION
I have two json files, holding values like the below, Json 1:
...ANSWER
Answered 2021-Feb-22 at 19:28First, you will have to write a function that will iterate the subjectDetails array and find the subject name based on a label.
QUESTION
Below I have a JSON structure to create a group of values for students. In order to make the whole thing work, I need to use jQuery to get the exact values of specific students (which will be done in an HTML file).
How would I do this?
...ANSWER
Answered 2021-Feb-18 at 15:48First of all, your data format is inconsistent with the description. Your question doesn't cover many important facts such as are the courses fixed or there might be more courses than three? Also, the student array contains an object that contains another object! Why there is such a bad design? Will there be more students under one object of the student array?
It would be much better if you could organize the data something like this:
QUESTION
I am importing measurement data as a dataframe and want to include the experimental conditions in the data which are given in the filename. I want to add new columns to the dataframe that represent the conditions, and I want to assign the columns with the value specified by the filename. Later, this will facilitate comparisons to other experimental conditions once I merge the editted dataframes from each individual sample/file.
Here is an example of my pre-existing dataframe Measurements:
ANSWER
Answered 2020-Dec-20 at 18:27We can convert to a list and then assign to avoid the recycling of values column wise. As it is a list, each element will be treated as a unit and the assignment occurs for the respectively columns by recycling those elements
QUESTION
I have data in nested dicts form from json:-
...ANSWER
Answered 2019-Sep-26 at 06:15Idea is add PIDS and Hands keys to last dictionaries and append to list of dict - so last DataFrame constructor working nice:
QUESTION
So I am reading a csv file, hitting an API with the inputs in the csv file and then printing the response into another file using Python.
Right now, my csv file consists of 12 request parameters out of which i want 9 to be passed as integer and 3 to be passed as strings while hitting the API.
I am not able to convert them into integers. My code uptil now is as below(Have skipped the API part for now):
...ANSWER
Answered 2019-Sep-23 at 11:49My output is :
You print line, not d, so you see things without your replacement. ;) Your .replace('\n', '') is correct.
Q2/Q3. Yes. You can do .replace or .strip. Strip without parameters will remove all whitespace from beginning and end of the string, including \n
If you replace your simple split with this:
QUESTION
I'm trying to open a file with spaces in path with subprocess.call function but I can't get it working.
...ANSWER
Answered 2018-Oct-04 at 11:20You should put every argument as a separate item in the list passed to subprocess.call:
QUESTION
I'm trying to extract data from a JSON file with Python.
Mainly, I want to pull out the date and time from the "Technicals" section, to put that in one column of a dataframe, as well as pulling the "AKG" number and putting that in the 2nd col of the dataframe. Yes, I've looked at similar questions, but this issue is different. Thanks for your help.
A downNdirty example of the JSON file is below:
...ANSWER
Answered 2017-Jul-16 at 20:48You've almost got it. You don't even need the second loop. You can append the akg value in the first one itself:
QUESTION
I tried the solution from this post but I'm still getting an error.
Query:
...ANSWER
Answered 2017-Jun-08 at 17:31If I understand correctly and you want to extract the teams that meet the given condition, you could put the unnest call in a subquery and apply the condition in the surrounding query:
QUESTION
I'm a bit of a noob and I've been following a tutorial to create a basic app with PyQt/Python to query a MySql database. Here is the code:
...ANSWER
Answered 2017-Mar-01 at 05:06Just change this line - table = query.value(0).toString() to this - table = query.value(0)
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Install akg
We suggest you build and run akg together with MindSpore. And we also provide a way to run case in standalone mode for convenience sake. Refer to MindSpore Installation for more information about compilation dependencies.
Build on Ascend910 git-lfs needs to be installed before cloning the source codes. git clone https://gitee.com/mindspore/akg.git cd akg bash build.sh -e ascend -j8
Build on GPU git clone https://gitee.com/mindspore/akg.git cd akg bash build.sh -e gpu -j8
Build on CPU git clone https://gitee.com/mindspore/akg.git cd akg bash build.sh -e cpu -j8
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