[GitHub] [tvm] mbrookhart commented on pull request #7910: [Relay] Shape func fix for all_class_nms and where op

mbrookhart commented on pull request #7910: URL: https://github.com/apache/tvm/pull/7910#issuecomment-825793458 Thanks @masahi -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comme

[GitHub] [tvm] mbrookhart commented on pull request #7910: [Relay] Shape func fix for all_class_nms and where op

mbrookhart commented on pull request #7910: URL: https://github.com/apache/tvm/pull/7910#issuecomment-825042408 I find it interesting that if I freeze the weights, I still fail to compile the all_class_non_max_suppression function: ``` -

[GitHub] [tvm] mbrookhart commented on pull request #7910: [Relay] Shape func fix for all_class_nms and where op

mbrookhart commented on pull request #7910: URL: https://github.com/apache/tvm/pull/7910#issuecomment-825041882 The subgraph that's causing the where issues is this: ``` %p0: Tensor[(?), int64] %p1: Tensor[(2), int64] %0 = less(%p0, 0 /* ty=int64 */) /* ty=Tensor[(?), bool]

[GitHub] [tvm] mbrookhart commented on pull request #7910: [Relay] Shape func fix for all_class_nms and where op

mbrookhart commented on pull request #7910: URL: https://github.com/apache/tvm/pull/7910#issuecomment-825001640 I don't like putting full models in CI, we have a few, and they're the slowest parts about running the frontend tests. I looks like all of the full model tests are getting the mo