- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi, everyone. I am studying the 'BenchmarkApp_python' on JupyterLab. It's not clear which device is used for the implementation. Here's the code they used for the hardware inference.
# import necessary libraries
import json
import qarpo
# load job configurations for demo
with open('job_config.json') as json_file:
data = json.load(json_file)
# create and run the user job interface
job_interface = qarpo.Interface(data)
job_interface.displayUI()
It's not clear which hardware will be used for inferencing. Can you guys please help me out? Thank you for your time.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi rico22,
In the BenchmarkApp Tutorial notebook, section 1.2 should display the targeted architectures and devices (see screenshot below). From the menu, you should be able to select a GPU. Please let me know if this works for you.
Regards,
Jesus
Link Copied
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi Rico22,
Thanks for reaching out to us.
May I know which tutorial or repository are you referring to?
Referring to Basic Usage in Benchmark Python Tool, the application will load the specified model onto the CPU and perform inferencing on batches of randomly generated date inputs for 60 seconds.
Hope it helps.
Regards,
Wan
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi, Wan. Thank you for your response. Here's the link I am following:
The job script doesn't indicate which device it is using. I would like to do inferencing on GPU. What should I do? Thank you.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi rico22,
In the BenchmarkApp Tutorial notebook, section 1.2 should display the targeted architectures and devices (see screenshot below). From the menu, you should be able to select a GPU. Please let me know if this works for you.
Regards,
Jesus
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Thank you for your response. I appreciate it. Have a nice day.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
If you need any additional information, please submit a new question as this thread will no longer be monitored.

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page