BNN-UPC / BNN-UPC/ignnition

Using shape_invariant argument

Open
#127 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
57
Forks
16
PR merge metrics
No merged PRs in 30d

Description

Hello,

I'm facing a issue when running ignnition with the aggregation type parameter "ordered" (it works fine with min, max, etc.). I'm receiving this message:

**ValueError: Input tensor 'ignnition_model/states_creation/actions/build_state0/concat_1:0' enters the loop with shape (1, 32), but has shape (None, 32) after one iteration. To allow the shape to vary across iterations, use the `shape_invariants` argument of tf.while_loop to specify a less-specific shape.**

Where in the can I change this parameter?
Thanks!

Contributor guide

Open the contributing guide

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.