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from e754bc2325 [Relay][Bugfix] Fix conv transpose with default strides in
ONNX frontend (#15868)
add 958c27123a [F
vinx13 commented on code in PR #15699:
URL: https://github.com/apache/tvm/pull/15699#discussion_r1348147295
##
src/relax/transform/lift_transform_params.cc:
##
@@ -43,26 +43,92 @@ struct LiftTransformParamsInfoPlan {
lifted_bindings; // the bindings of the original funct
tqchen commented on issue #15874:
URL: https://github.com/apache/tvm/issues/15874#issuecomment-1749784280
Looks like indeed we didn't have proper `kDLCUDAManaged ` . I think it can
be added in similar ways as
https://github.com/apache/tvm/blob/main/src/runtime/cuda/cuda_device_api.cc#L256
Lunderberg commented on code in PR #15699:
URL: https://github.com/apache/tvm/pull/15699#discussion_r1348094509
##
src/relax/transform/lift_transform_params.cc:
##
@@ -43,26 +43,92 @@ struct LiftTransformParamsInfoPlan {
lifted_bindings; // the bindings of the original f
Lunderberg commented on issue #15880:
URL: https://github.com/apache/tvm/issues/15880#issuecomment-1749783656
Ah, looks like the string isn't collecting the full stack track, only the
python object. This becomes a problem if the error is caught in a context
where the string is printed.
-
Lunderberg commented on issue #15880:
URL: https://github.com/apache/tvm/issues/15880#issuecomment-1749783066
Thank you, and I'll take a look at it later this week. When catching in
python, it resolved some out-of-order issues, but I hadn't checked if it also
caused others.
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vinx13 commented on code in PR #15699:
URL: https://github.com/apache/tvm/pull/15699#discussion_r1348071553
##
src/relax/transform/lift_transform_params.cc:
##
@@ -43,26 +43,92 @@ struct LiftTransformParamsInfoPlan {
lifted_bindings; // the bindings of the original funct
vinx13 commented on PR #15665:
URL: https://github.com/apache/tvm/pull/15665#issuecomment-1749743038
The simplification @Lunderberg mentioned should work. Actually we can get
the extent from the source `IterMark` of the split.
Say we want to compute `floordiv(lhs, rhs)` where `lhs ==
flo
tqchen commented on issue #15880:
URL: https://github.com/apache/tvm/issues/15880#issuecomment-1749697570
seems is related to https://github.com/apache/tvm/pull/15596
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tqchen commented on PR #15596:
URL: https://github.com/apache/tvm/pull/15596#issuecomment-1749697384
This PR seems to cause an issue here
https://github.com/apache/tvm/issues/15880
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tqchen commented on issue #15880:
URL: https://github.com/apache/tvm/issues/15880#issuecomment-1749695727
cc @Lunderberg
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jinhongyii opened a new issue, #15880:
URL: https://github.com/apache/tvm/issues/15880
### Expected behavior
printing out call trace when encountering `ICHECK` failure
### Actual behavior
```
python/tvm/relax/block_builder.py:645: in normalize
return _ffi_api.Bl
vinx13 merged PR #15783:
URL: https://github.com/apache/tvm/pull/15783
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wuwei pushed a commit to branch unity
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The following commit(s) were added to refs/heads/unity by this push:
new 8a2ca3405b [Unity] Use PrimValue as offset in R.tril a
slyubomirsky commented on PR #15878:
URL: https://github.com/apache/tvm/pull/15878#issuecomment-1749521997
Glad to know that this op sounds like it will address that problem.
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masahi commented on PR #15878:
URL: https://github.com/apache/tvm/pull/15878#issuecomment-1749492432
I mean, the KV cache update operation is disguised as a pure operation in
the model. So it does build and run, that's no problem. But semantically it is
not quite right and I also need to re
slyubomirsky commented on PR #15878:
URL: https://github.com/apache/tvm/pull/15878#issuecomment-1749472076
Good to know. I'm glad it gets caught, though I'm curious how LLaMa is able
to build and run despite also having packed calls in it.
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masahi commented on PR #15878:
URL: https://github.com/apache/tvm/pull/15878#issuecomment-1749464086
No, assuming that such check occurs automatically during `relax.build()`.
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slyubomirsky commented on PR #15878:
URL: https://github.com/apache/tvm/pull/15878#issuecomment-1749456251
Were you getting a well-formed error?
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lhutton1 merged PR #15865:
URL: https://github.com/apache/tvm/pull/15865
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junrushao commented on PR #15665:
URL: https://github.com/apache/tvm/pull/15665#issuecomment-1749310256
This seems to cause a break in MLC LLM q3f16_1, which is a pretty commonly
used format. @vinx13 mind sharing what a proper fix should look like?
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lhutton1 commented on PR #15867:
URL: https://github.com/apache/tvm/pull/15867#issuecomment-1749100249
ah I see, no worries!
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junrushao commented on PR #15867:
URL: https://github.com/apache/tvm/pull/15867#issuecomment-1748990910
Sorry I didn’t notice the PR is closed - was cleaning up redundant branches.
@lhutton1 please feel free to submit a new PR and im happy to get it in
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nkhlS141 commented on issue #5133:
URL: https://github.com/apache/tvm/issues/5133#issuecomment-1748957091
{aten::pad, } missing
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Lunderberg commented on PR #15864:
URL: https://github.com/apache/tvm/pull/15864#issuecomment-1748949037
Philosophically, I like the distinction @quic-sanirudh is drawing between
the minimal `relax.build` and the more expansive options in `relax.pipeline`.
I'd see `relax.build` as a tool w
Lunderberg commented on PR #15864:
URL: https://github.com/apache/tvm/pull/15864#issuecomment-1748927570
@junrushao Absolutely agreed, there's a wide variety of hand-selected
transformations that optimized models require, many of which must be performed
after `LegalizeOps`. That is essent
lhutton1 commented on PR #15836:
URL: https://github.com/apache/tvm/pull/15836#issuecomment-1748904838
Hit a ```
fatal: unable to access 'https://github.com/apache/tvm.git/': Failed to
connect to github.com port 443: Connection timed out
```
on the cortexm build, retriggering...
-
mehmetalici opened a new issue, #15879:
URL: https://github.com/apache/tvm/issues/15879
I am facing a critical compilation warning when I try to compile a model
generated for CMSIS target in uTVM.
Below is the generated code snippet that results in warning by the compiler:
```c
quic-sanirudh commented on PR #15864:
URL: https://github.com/apache/tvm/pull/15864#issuecomment-1748440464
> I'm not super sure if it's desirable. Usually after operator lowering, we
will apply a series of transformations to reach the end state of the desirable
TIR, which we could abstract
lhutton1 commented on PR #15867:
URL: https://github.com/apache/tvm/pull/15867#issuecomment-1748406577
Hi @junrushao, any reason to close the version upgrade?
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masahi commented on PR #15878:
URL: https://github.com/apache/tvm/pull/15878#issuecomment-1748329331
> it might be desirable to have a way to have packed calls inside dataflow
blocks
Very strong +1 for this need. This week I integrated a KV cache update
kernel, and faced a problem of
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