Create fake model with GB sizes #21722
Labels
core
done & done
Issue has been reviewed after it was closed for verification, followups, etc.
P4
python
run-inference
task
What needs to happen?
We need to create models of various sizes (1 GB, 5GB, 10 GB) to help with benchmarking RunInference on models of various sizes. These models don't have to be trained on anything, but be randomly initialized, fully-connected networks.
Subtask of issue #21435
Issue Priority
Priority: 2
Issue Component
Component: sdk-py-core
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