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github-bot pushed a change to branch nightly
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 28d32b52cb [TIR] Support narrow dtype for let binding (#16947)
add 819b0023e4 [Relax] Support nested ModuleList
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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 819b0023e4 [Relax] Support nested ModuleList in nn.Modu
tqchen merged PR #16971:
URL: https://github.com/apache/tvm/pull/16971
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Anndrey24 commented on code in PR #16962:
URL: https://github.com/apache/tvm/pull/16962#discussion_r1592429064
##
src/target/llvm/codegen_llvm.cc:
##
@@ -1127,6 +1128,13 @@ void CodeGenLLVM::SetTargetAttributes(llvm::Function*
func) {
if (!features.empty()) {
func->addF
lhutton1 commented on PR #16966:
URL: https://github.com/apache/tvm/pull/16966#issuecomment-2098219142
cc @ekalda @tqchen @Lunderberg @cbalint13 @Anndrey24
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lhutton1 commented on code in PR #16962:
URL: https://github.com/apache/tvm/pull/16962#discussion_r1592013962
##
src/target/llvm/codegen_llvm.cc:
##
@@ -1127,6 +1128,13 @@ void CodeGenLLVM::SetTargetAttributes(llvm::Function*
func) {
if (!features.empty()) {
func->addFn
Zaptos27 closed issue #16928: [Bug] Missing key in Vitis Ai docker demo
URL: https://github.com/apache/tvm/issues/16928
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Zaptos27 commented on issue #16928:
URL: https://github.com/apache/tvm/issues/16928#issuecomment-2097694602
Is there anything meeting, to somehow get an answer or is the support for
the doc
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krishnaraj36 opened a new pull request, #16973:
URL: https://github.com/apache/tvm/pull/16973
Improved the gemv outer fallback schedules. It improved few gemv kernel by
20%.
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krishnaraj36 commented on PR #16972:
URL: https://github.com/apache/tvm/pull/16972#issuecomment-2097635112
@srkreddy1238 @tqchen : Please take a look to this PR and let me know your
advise.
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krishnaraj36 opened a new pull request, #16972:
URL: https://github.com/apache/tvm/pull/16972
Enhanced the opencl thread limit and improved the gpu schedules for opencl
targets.
It improves decode performance 20 % for few set of models.
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