masahi edited a comment on pull request #6449:
URL: https://github.com/apache/incubator-tvm/pull/6449#issuecomment-692441507
@kevinthesun Thanks I'm trying running e2e on my end. I have following
questions:
1. How long does it take to compile faster or mask rcnn from torchvision? I
remember hearing TF faster rcnn taking 20 min to compile. If it is too slow, it
might not be a good idea to run them on CI...
2. Interestingly, mask rcnn seems to have `prim::Loop`, even though it is
traced. In general, does tracing make sense for object detection models (that
might have data dependent code path)?
3. I'm having this error below, is it expected?
```
TVMError: Check failed: allow_alloc: Cannot find the Realization point of
tensor Tensor(shape=[1], op.name=box_data_length)
During handling of the above exception, another exception occurred:
TVMError: Check failed: allow_alloc: Cannot find the Realization point of
tensor Tensor(shape=[1], op.name=box_data_length)
Error during compile function
-----------------------------
#[version = "0.0.5"]
fn (%p0: Tensor[(1, ?, ?), float32], Primitive=1) -> (Tensor[(1), int32],
Tensor[(1, ?, ?), float32], Tensor[(1, ?), int32]) {
vision.get_valid_counts(%p0, meta[relay.attrs.GetValidCountsAttrs][0]) /*
ty=(Tensor[(1), int32], Tensor[(1, ?, ?), float32], Tensor[(1, ?), int32]) */
}
```
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