slyubomirsky commented on PR #16843:
URL: https://github.com/apache/tvm/pull/16843#issuecomment-2038627542
Wait, a global var can be mapped to an `ExternFunc`? That's wild.
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Lunderberg merged PR #16543:
URL: https://github.com/apache/tvm/pull/16543
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lunderberg 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 cd08356e66 [TIR] Fix segfaults from ordering of
Lunderberg commented on PR #16836:
URL: https://github.com/apache/tvm/pull/16836#issuecomment-2038492848
I've reverted the implementation of this PR, but kept the same unit tests.
The platform-dependent implementation is entirely removed, replaced with a TIR
lowering pass.
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github-bot pushed a change to branch nightly
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 6f74762743 [Relax] Provide well-formed output in
`transform.LazyGetInput` (#16841)
add c84f6bb4fd Bump pillow
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lukhut pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 6f74762743 [Relax] Provide well-formed output in
`transform.LazyGetInput` (#16841)
add c84f6bb4fd Bump pillow from
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lukhut pushed a change to branch
dependabot/pip/apps/microtvm/ethosu/pillow-10.3.0
in repository https://gitbox.apache.org/repos/asf/tvm.git
was 61558f1e91 Bump pillow from 10.2.0 to 10.3.0 in /apps/microtvm/ethosu
The
lhutton1 merged PR #16838:
URL: https://github.com/apache/tvm/pull/16838
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lhutton1 merged PR #16839:
URL: https://github.com/apache/tvm/pull/16839
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lukhut pushed a change to branch
dependabot/pip/apps/microtvm/cmsisnn/pillow-10.3.0
in repository https://gitbox.apache.org/repos/asf/tvm.git
was 78f4bc6434 Bump pillow from 10.2.0 to 10.3.0 in /apps/microtvm/cmsisnn
The
echuraev opened a new pull request, #16846:
URL: https://github.com/apache/tvm/pull/16846
Added OpenCL as a GPU target for Meta-Scheduler. Implemented export function
for Android which can be used when MS builder is configured. Added an
integration test which checks that MS tuning on
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lukhut pushed a change to branch main
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from c84f6bb4fd Bump pillow from 10.2.0 to 10.3.0 in /apps/microtvm/ethosu
(#16838)
add dd384906e3 Bump pillow from
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github-bot pushed a change to branch dependabot/pip/apps/microtvm/pillow-10.3.0
in repository https://gitbox.apache.org/repos/asf/tvm.git
discard c0de939622 Bump pillow from 10.2.0 to 10.3.0 in /apps/microtvm
add
ekalda commented on code in PR #16782:
URL: https://github.com/apache/tvm/pull/16782#discussion_r1551560120
##
tests/python/tir-transform/test_tir_transform_vectorize.py:
##
@@ -64,28 +61,86 @@ def test_vectorize_vector():
assert isinstance(stmt.body.value,
ekalda commented on code in PR #16782:
URL: https://github.com/apache/tvm/pull/16782#discussion_r1551559396
##
src/tir/ir/expr.cc:
##
@@ -196,7 +196,9 @@ TVM_REGISTER_NODE_TYPE(StringImmNode);
// Cast
Cast::Cast(DataType t, PrimExpr value, Span span) {
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tqchen pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new 53f05d8ded [Debug][Disco] Check if a PackedFunc exists
tqchen merged PR #16845:
URL: https://github.com/apache/tvm/pull/16845
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ekalda commented on code in PR #16782:
URL: https://github.com/apache/tvm/pull/16782#discussion_r1551562114
##
src/tir/transforms/vectorize_loop.cc:
##
@@ -182,21 +199,29 @@ class Vectorizer : public StmtMutator, public
ExprFunctora) && b.same_as(op->b)) {
return
ekalda commented on code in PR #16782:
URL: https://github.com/apache/tvm/pull/16782#discussion_r1551562489
##
src/tir/transforms/vectorize_loop.cc:
##
@@ -433,20 +488,27 @@ class Vectorizer : public StmtMutator, public
ExprFunctorVisitExpr(op->value);
if
ekalda commented on code in PR #16782:
URL: https://github.com/apache/tvm/pull/16782#discussion_r1551562798
##
src/tir/transforms/vectorize_loop.cc:
##
@@ -635,19 +701,22 @@ class Vectorizer : public StmtMutator, public
ExprFunctora) && b.same_as(op->b)) {
return
ekalda commented on PR #16782:
URL: https://github.com/apache/tvm/pull/16782#issuecomment-2037036256
Thanks for all the reviews and discussion! The latest version now includes
changes as a response to @lhutton1 review. I also looked into using the target
info in the LoopVectorizer and
ShawnZhuang opened a new pull request, #16847:
URL: https://github.com/apache/tvm/pull/16847
Prior to this commit, relay ir may not be easy to be viewed in netron.
Awareness of distinct Attr types is required in some solutions.
this commit provide a method to serializing relay ir to
Hzfengsy opened a new pull request, #16848:
URL: https://github.com/apache/tvm/pull/16848
The current rule will fail when the output shape is only one element,
because of missing `preserve_unit_loops`. This PR fixes it and adds a test case.
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ShawnZhuang commented on PR #16847:
URL: https://github.com/apache/tvm/pull/16847#issuecomment-203717
discuss on
https://discuss.tvm.apache.org/t/relay-onnx-support-saveing-relay-ir-to-onnx-for-visualization/17020
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tqchen commented on PR #16847:
URL: https://github.com/apache/tvm/pull/16847#issuecomment-2037249162
thank you @ShawnZhuang , one thing that I think worth clarifying is that
whether it serves as a onnx exporter(which i believe there were some work in
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