masahi commented on PR #15429:
URL: https://github.com/apache/tvm/pull/15429#issuecomment-1656572692
On RTX 4080 this PR improved over my last week's result as follows:
7B
```
| mode| seqlen | genlen | p50: tok/s |
| FT |128 |128
tvm-bot commented on PR #15437:
URL: https://github.com/apache/tvm/pull/15437#issuecomment-1656568847
Thanks for contributing to TVM! Please refer to the contributing guidelines
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cblmemo commented on issue #15426:
URL: https://github.com/apache/tvm/issues/15426#issuecomment-1656561740
Yes, I believe it is a bug introduced in that PR...
Basically, `SSR loops` means a triple nested loop, in which the first two
layers are `Spacial` loop, and the third layers are
supersat opened a new issue, #15436:
URL: https://github.com/apache/tvm/issues/15436
I am attempting to rebuild TVM from scratch with LLVM 16, which was also
built from scratch. This used to work, but now I'm getting a cmake error, as
shown below. I believe this might be related to #15164.
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github-bot pushed a change to branch nightly
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 4a558204fd [Hexagon] Add default vtcm capacity for targets (#15414)
add 64ac43a243 [CI] Bump Flax and Jaxlib ve
sunggg commented on code in PR #15435:
URL: https://github.com/apache/tvm/pull/15435#discussion_r1278245037
##
src/runtime/contrib/cublas/cublas.cc:
##
@@ -239,8 +239,12 @@ void CallCublasLt(cublasLtHandle_t hdl, const DLTensor* A,
const DLTensor* B, co
auto B_data = static_
Hzfengsy commented on PR #15427:
URL: https://github.com/apache/tvm/pull/15427#issuecomment-1656536868
Thanks @adfwer233
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syfeng pushed a commit to branch unity
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/unity by this push:
new 7bb37a54b4 [Unity][Dlight] Improve Dlight Tensorizati
Hzfengsy merged PR #15427:
URL: https://github.com/apache/tvm/pull/15427
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junrushao commented on PR #15433:
URL: https://github.com/apache/tvm/pull/15433#issuecomment-1656511303
There's some issue with the CI. I squashed and rebased this PR trying to
make this work
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junrushao commented on PR #15429:
URL: https://github.com/apache/tvm/pull/15429#issuecomment-1656507395
CC @masahi
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masahi commented on code in PR #15435:
URL: https://github.com/apache/tvm/pull/15435#discussion_r1278192503
##
src/runtime/contrib/cublas/cublas.cc:
##
@@ -239,8 +239,12 @@ void CallCublasLt(cublasLtHandle_t hdl, const DLTensor* A,
const DLTensor* B, co
auto B_data = static_
tvm-bot commented on PR #15435:
URL: https://github.com/apache/tvm/pull/15435#issuecomment-1656398146
Thanks for contributing to TVM! Please refer to the contributing guidelines
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sunggg opened a new pull request, #15435:
URL: https://github.com/apache/tvm/pull/15435
This PR enables cuda graph with cublas.
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yaxingcai pushed a commit to branch unity
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/unity by this push:
new 7a4c85e5fb [Unity] nn.Module Torch Integration (#1
cyx-6 merged PR #15424:
URL: https://github.com/apache/tvm/pull/15424
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tqchen merged PR #15423:
URL: https://github.com/apache/tvm/pull/15423
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tqchen pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/main by this push:
new 5b431f5dd0 [Submodule] Add Flash attention v2 (#15423)
tvm-bot commented on PR #15434:
URL: https://github.com/apache/tvm/pull/15434#issuecomment-1656234149
Thanks for contributing to TVM! Please refer to the contributing guidelines
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tvm-bot commented on PR #15433:
URL: https://github.com/apache/tvm/pull/15433#issuecomment-1656034018
Thanks for contributing to TVM! Please refer to the contributing guidelines
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cyx-6 opened a new pull request, #15433:
URL: https://github.com/apache/tvm/pull/15433
This PR introduces the Module and Effect in the nn frontend. It adds the
built-in `Linear`, `RMSNorm` and `Embedding` modules. And it adds a `KVCache`
effect.
Also, this PR fix the interface of `R.
Liam-Sturge closed issue #15420: [Bug] [CI] Error installing Jax for Ubuntu
ci_cpu Docker build
URL: https://github.com/apache/tvm/issues/15420
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Liam-Sturge commented on issue #15420:
URL: https://github.com/apache/tvm/issues/15420#issuecomment-1655939601
No longer seeing the Installation error after bumping the version of Jaxlib
and Flax.
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kparzysz-quic commented on PR #15369:
URL: https://github.com/apache/tvm/pull/15369#issuecomment-1655889197
Thanks! Created a PR for the non-Relax part here:
https://github.com/apache/tvm/pull/15432
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kparzysz-quic commented on PR #15432:
URL: https://github.com/apache/tvm/pull/15432#issuecomment-1655887857
cc: @Lunderberg @junrushao @yzh119 @cyx @slyubomirsky
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tvm-bot commented on PR #15432:
URL: https://github.com/apache/tvm/pull/15432#issuecomment-1655886541
Thanks for contributing to TVM! Please refer to the contributing guidelines
https://tvm.apache.org/docs/contribute/ for useful information and tips. Please
request code reviews from
tvm-bot commented on PR #15432:
URL: https://github.com/apache/tvm/pull/15432#issuecomment-1655886557
Thanks for contributing to TVM! Please refer to the contributing guidelines
https://tvm.apache.org/docs/contribute/ for useful information and tips. Please
request code reviews from
kparzysz-quic opened a new pull request, #15432:
URL: https://github.com/apache/tvm/pull/15432
As a background info---the script parser works by visiting a "statement" (or
top-level expression) at a time. The expression parts of the statement are
evaluated, and then the IR corresponding to
tvm-bot commented on PR #15431:
URL: https://github.com/apache/tvm/pull/15431#issuecomment-1655698421
Thanks for contributing to TVM! Please refer to the contributing guidelines
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tsu-bin opened a new pull request, #15431:
URL: https://github.com/apache/tvm/pull/15431
To reproduce the issue, just construct a simple softmax op and run
auto-scheduler, below is the code snippet
```
@auto_scheduler.register_workload
def create_softmax_op(*shape):
logits =
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leandron pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from d1f7ef4986 [XGBoost,MetaSchedule] Support xgb set tree method (#15133)
add 6e33de61af [Frontend][Keras] Add support
leandron merged PR #15422:
URL: https://github.com/apache/tvm/pull/15422
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skystoler closed pull request #14880: [AutoScheduler] Update crossover operator
in GA for Ansor
URL: https://github.com/apache/tvm/pull/14880
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xiyou pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/main by this push:
new d1f7ef4986 [XGBoost,MetaSchedule] Support xgb set tree m
zxybazh merged PR #15133:
URL: https://github.com/apache/tvm/pull/15133
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jikechao opened a new issue, #15430:
URL: https://github.com/apache/tvm/issues/15430
A model with `Dot` operator can be loaded to TVM but crashes when creating
the graph executor.
### model structure and RelayIR infor:
 were added to refs/heads/main by this push:
new 64ac43a243 [CI] Bump Flax and Jaxlib versions to fix Ja
lhutton1 merged PR #15421:
URL: https://github.com/apache/tvm/pull/15421
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Aleksei-grovety opened a new pull request, #15428:
URL: https://github.com/apache/tvm/pull/15428
Add a pass to copy concatenation arguments which are used more than once in
concatenation operation to prevent a situation where an argument used in
multiple concatenations will be written to on
tvm-bot commented on PR #15428:
URL: https://github.com/apache/tvm/pull/15428#issuecomment-1655224114
Thanks for contributing to TVM! Please refer to the contributing guidelines
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Aarsh2001 commented on PR #15415:
URL: https://github.com/apache/tvm/pull/15415#issuecomment-1655211423
Hey @Hzfengsy, just added a test
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tvm-bot commented on PR #15427:
URL: https://github.com/apache/tvm/pull/15427#issuecomment-1655200594
Thanks for contributing to TVM! Please refer to the contributing guidelines
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tvm-bot commented on PR #15378:
URL: https://github.com/apache/tvm/pull/15378#issuecomment-1655192181
Thanks for contributing to TVM! Please refer to the contributing guidelines
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