Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Multi-vector outputs are not parsed correctly in MM Payload Parser #422

Closed
RobGeada opened this issue Oct 30, 2023 · 0 comments · Fixed by #423
Closed

Multi-vector outputs are not parsed correctly in MM Payload Parser #422

RobGeada opened this issue Oct 30, 2023 · 0 comments · Fixed by #423
Assignees
@RobGeada
Labels
kind/bug Something isn't working rhods-2.5
Milestone
Release 0.7.0 (Co...

Comments

@RobGeada
Copy link
Contributor

RobGeada commented Oct 30, 2023 •
edited by ruivieira

Multiple inbounds tensors of shape [a, b], [a, c], [a, d], etc are not merged along first dimension, and therefore cause vector mismatch errors. Should be parsed into a shape of [a, b+c+d]
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@RobGeada RobGeada

Labels
kind/bug Something isn't working rhods-2.5
Projects
TrustyAI planning
Status: Done
Milestone
Release 0.7.0 (Core/Service)
Development

Successfully merging a pull request may close this issue.

Add multiple-tensor output and n-dimensional input support RobGeada/trustyai-explainability
2 participants
@ruivieira @RobGeada