quic-sanirudh commented on code in PR #16557:
URL: https://github.com/apache/tvm/pull/16557#discussion_r1495450159
##
src/runtime/hexagon/hexagon_device_api.h:
##
@@ -199,6 +215,9 @@ class HexagonDeviceAPI final : public DeviceAPI {
//! \brief Hexagon power manager
std::
felix-ro commented on PR #16610:
URL: https://github.com/apache/tvm/pull/16610#issuecomment-1953756108
> LGTM, but is there a reason for the `tvm.runtime.String` addition. the FFI
call should automatically handle if I'm not mistaken.
I just checked the FFI call, and it is handled ther
lhutton1 merged PR #16523:
URL: https://github.com/apache/tvm/pull/16523
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lukhut 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 a6157a6369 [SVE] Change the dtype of Ramp and Broadcast
quic-sanirudh commented on PR #16557:
URL: https://github.com/apache/tvm/pull/16557#issuecomment-1953795374
> Thanks @quic-sanirudh . I did another round provided all the feedbacks,
let me know if they make sense
Thanks a lot @tqchen for taking the time to review. I've made all the
c
lhutton1 commented on PR #16523:
URL: https://github.com/apache/tvm/pull/16523#issuecomment-1953777295
Thanks @ekalda @tqchen @Lunderberg
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lhutton1 opened a new pull request, #16612:
URL: https://github.com/apache/tvm/pull/16612
This commit adds support for representing scalable vectors using the string
data type format. For example, "float32xvscalex4" may be used to represent the
following scalable type: `DataType(kDLFloat, 3
ekalda commented on PR #16611:
URL: https://github.com/apache/tvm/pull/16611#issuecomment-1953961974
Thanks @lhutton1, would you mind adding a test for this change? There is
currently no path that exercises this option.
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Liam-Sturge opened a new issue, #16613:
URL: https://github.com/apache/tvm/issues/16613
### The Problem
Intermittently, when running `./build_image.sh cpu`, the function
`detect_llvm_version()` does not run correctly due to exceeding Github API rate
limits. This then causes a complet
Liam-Sturge closed issue #16613: [CI Problem] TLCPack Docker image unable to
set LLVM version
URL: https://github.com/apache/tvm/issues/16613
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Liam-Sturge commented on issue #16613:
URL: https://github.com/apache/tvm/issues/16613#issuecomment-1954039000
Raised issue on TLCPack repo instead:
https://github.com/tlc-pack/tlcpack/issues/190
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lhutton1 commented on PR #18:
URL: https://github.com/apache/tvm-rfcs/pull/18#issuecomment-1954039440
Closing as superseded by: https://github.com/apache/tvm-rfcs/pull/104
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lhutton1 closed pull request #18: [RFC] Adding initial SVE implementation
URL: https://github.com/apache/tvm-rfcs/pull/18
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Liam-Sturge closed issue #16613: [CI Problem] TLCPack Docker image unable to
set LLVM version
URL: https://github.com/apache/tvm/issues/16613
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quic-sanirudh commented on PR #16557:
URL: https://github.com/apache/tvm/pull/16557#issuecomment-1954267571
@tvm-bot rerun
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tqchen commented on PR #16557:
URL: https://github.com/apache/tvm/pull/16557#issuecomment-1954405459
happy to get it in @quic-sanirudh to unblock folks, let us followup and try
remove the phyiscal map by embedding them in buffer descriptor
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quic-sanirudh commented on PR #16557:
URL: https://github.com/apache/tvm/pull/16557#issuecomment-1954410751
> happy to get it in @quic-sanirudh to unblock folks, let us followup and
try remove the phyiscal map by embedding them in buffer descriptor
Thanks a lot for understanding. I'll
Lunderberg commented on PR #16588:
URL: https://github.com/apache/tvm/pull/16588#issuecomment-1955024693
Good point on checking the performance. I did a benchmark, with shown
results shown in the plot below. The x-axis is the time required to run the
analyzer with the `BoundUsingReciproca
Lunderberg commented on PR #16563:
URL: https://github.com/apache/tvm/pull/16563#issuecomment-1955086643
All CI tests passing, and thank you for the review @slyubomirsky ! I'll
follow up with another PR to add inspection of the remainder of the `DLTensor*`
fields.
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Lunderberg merged PR #16563:
URL: https://github.com/apache/tvm/pull/16563
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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 b21855758e [Relax] Implement operators to read runt
tqchen merged PR #16610:
URL: https://github.com/apache/tvm/pull/16610
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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 e5bfb028b9 [Doc] Fixed Docstring usage example in `tvm.
tqchen commented on PR #16588:
URL: https://github.com/apache/tvm/pull/16588#issuecomment-1955244162
I still think in this case the overall constraining the behavior of
ConstIntBound is more predictable and readable.
My main worry is we open a flood gate of introducing many recursive
sdalvi-quic commented on issue #16577:
URL: https://github.com/apache/tvm/issues/16577#issuecomment-1955530546
Thank you eric for pointing to the location which might be causing issue.
Yes, the additional predicate is not getting appended to the constraints.
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vinx13 commented on code in PR #16598:
URL: https://github.com/apache/tvm/pull/16598#discussion_r1496719908
##
src/relax/transform/fuse_ops.cc:
##
@@ -1238,10 +1238,14 @@ class CompositeFunctionAnnotator : public ExprMutator {
Expr VisitExpr_(const FunctionNode* func_node)
Lunderberg commented on code in PR #16598:
URL: https://github.com/apache/tvm/pull/16598#discussion_r1496737460
##
src/relax/transform/fuse_ops.cc:
##
@@ -1238,10 +1238,14 @@ class CompositeFunctionAnnotator : public ExprMutator {
Expr VisitExpr_(const FunctionNode* func_no
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wuwei pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git
from e5bfb028b9 [Doc] Fixed Docstring usage example in `tvm.ir.make_node`
(#16610)
add d91fe450c8 [Transform][Bugfix] Handl
vinx13 merged PR #16598:
URL: https://github.com/apache/tvm/pull/16598
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Lunderberg commented on code in PR #16598:
URL: https://github.com/apache/tvm/pull/16598#discussion_r1496740578
##
src/relax/transform/fuse_ops.cc:
##
@@ -1238,10 +1238,14 @@ class CompositeFunctionAnnotator : public ExprMutator {
Expr VisitExpr_(const FunctionNode* func_no
vinx13 commented on code in PR #16598:
URL: https://github.com/apache/tvm/pull/16598#discussion_r1496741848
##
src/relax/transform/fuse_ops.cc:
##
@@ -1238,10 +1238,14 @@ class CompositeFunctionAnnotator : public ExprMutator {
Expr VisitExpr_(const FunctionNode* func_node)
vinx13 commented on PR #16595:
URL: https://github.com/apache/tvm/pull/16595#issuecomment-1955701786
`As a result, expressions such as R.zeros([16], "int32") would be extracted
out into the parameter transformation, even though they do not depend on any
parameters.
`
Does this affect
Lunderberg commented on PR #16562:
URL: https://github.com/apache/tvm/pull/16562#issuecomment-1955842490
> I'm surprised that the previous logic failed.
Yeah, I was pretty surprised at it, too. I think the core issue is the
mismatch between the internal representation of a `relax::If
Lunderberg commented on PR #16595:
URL: https://github.com/apache/tvm/pull/16595#issuecomment-1955860414
> Does this affect the result? If a weight transformation depends on some
values like `R.zeros`, such transformation will no longer be lifted if
`R.zeros` is not lifted, maybe better we
Lunderberg commented on code in PR #16598:
URL: https://github.com/apache/tvm/pull/16598#discussion_r1496878192
##
src/relax/transform/fuse_ops.cc:
##
@@ -1238,10 +1238,14 @@ class CompositeFunctionAnnotator : public ExprMutator {
Expr VisitExpr_(const FunctionNode* func_no
LeiWang1999 commented on code in PR #16560:
URL: https://github.com/apache/tvm/pull/16560#discussion_r1496882770
##
src/tir/schedule/primitive/blockize_tensorize.cc:
##
@@ -738,6 +739,28 @@ StmtSRef Blockize(ScheduleState self, const
Array& blocks, bool preser
return result;
slyubomirsky commented on code in PR #16602:
URL: https://github.com/apache/tvm/pull/16602#discussion_r1496856295
##
python/tvm/relax/transform/lazy_transform_params.py:
##
@@ -157,24 +159,60 @@ def transform(self, func: relax.Function) ->
relax.Function:
self.memory_f
zxybazh opened a new issue, #16614:
URL: https://github.com/apache/tvm/issues/16614
### Expected behavior
MetaSchedule Tuning Works for the given Conv2d workload
### Actual behavior
Triggers an error `ValueError: The block no longer exists in the IRModule`
during applica
quic-sanirudh commented on PR #16557:
URL: https://github.com/apache/tvm/pull/16557#issuecomment-1955892762
@tvm-bot rerun
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Lunderberg commented on PR #16588:
URL: https://github.com/apache/tvm/pull/16588#issuecomment-1955895172
> My main worry is we open a flood gate of introducing many recursive
rewrite patterns to `ConstIntBound` itself.
Ah, I think I see where I may have miscommunicated. There isn't a
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github-bot pushed a change to branch nightly
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 46202e [KVCache] Support passing in attn_score_scaling_factor into
KV cache (#16606)
add 2066ce9612 [Unity
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