Problem Note 69549: Training a SAS U-Net model with one or more GPUs might result in an error
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When you train a SAS U-Net model with one ore more graphics processing units (GPUs) and the image height is not equal to the width, the following error message might occur:
ERROR: The action stopped due to errors.
Here is an example that shows the DLPy fit function where the width and height are different and gpu= is specified:
model = UNet(s,
n_classes=4,
n_channels=3,
width=512, height=256,
bn_after_convolutions=True,
output_image_type='BASE64') # 'BASE64', 'PNG', 'WIDE' (default)
valid_table='data_valid',
optimizer=optimizer,
data_specs=dataspecs,
n_threads=4,
force_equal_padding=False,
gpu=Gpu(devices=[0, 1]))
Click the Hot Fix tab in this note for a link to instructions about accessing and applying the software update. The hot fix is for Linux x64 only.
Operating System and Release Information
| Product Family | Product | System | Product Release | SAS Release | ||
| Reported | Fixed* | Reported | Fixed* | |||
| SAS System | SAS Visual Data Mining and Machine Learning | Linux for x64 | 8.5 | Viya | ||
| Microsoft® Windows® for x64 | 8.5 | Viya | ||||
Viya on Linux: An update for this issue is available for SAS Viya 3.5. For instructions on how to access and apply software updates, see the Updating Your SAS Viya software section in the SAS Viya 3.5 for Linux Deployment Guide at
http://documentation.sas.com/?softwareId=administration&softwareVersion=3.5&softwareContextId=softwareUpdates| Type: | Problem Note |
| Priority: | high |
| Date Modified: | 2022-09-29 10:18:42 |
| Date Created: | 2022-09-14 10:39:24 |