junrushao1994 merged PR #12344:
URL: https://github.com/apache/tvm/pull/12344
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junrushao pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new f5f5a75ae9 [TVMScript] Text underlining in DocPrinte
junrushao1994 commented on PR #12344:
URL: https://github.com/apache/tvm/pull/12344#issuecomment-1211572753
Thanks for the PR! It's merged :-)
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cxx122 opened a new issue, #12374:
URL: https://github.com/apache/tvm/issues/12374
```
tensor_0 = te.placeholder([5], dtype="int8", name="TENSOR_0")
tensor_1 = te.compute([5], lambda lcg:te.truncdiv(te.min_value("int64"),
tensor_0[lcg]), name ="TENSOR_1")
```
### Expected beh
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cxx122 opened a new issue, #12373:
URL: https://github.com/apache/tvm/issues/12373
```
REDUCE_0 = te.reduce_axis((5, 0), name="REDUCE_0")
REDUCE_1 = te.reduce_axis((7, 0), name="REDUCE_1")
TENSOR_0 = te.placeholder([10,10,10,10], dtype="int8", name="TENSOR_0")
TENSOR_1 = te.comput
github-actions[bot] commented on PR #12369:
URL: https://github.com/apache/tvm/pull/12369#issuecomment-1211554418
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cxx122 opened a new issue, #12372:
URL: https://github.com/apache/tvm/issues/12372
```
tensor_1 = te.placeholder((2,2,), dtype="int16", name="A")
tensor_2 = te.compute((2,3,), lambda dj,z,: tensor_1[z][dj], name ="IR")
```
### Expected behavior
An error message or a def
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github-bot pushed a change to branch last-successful
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from 06ac5cde84 [testing] Remove wrapper from @slow (#11566)
add 1a3d36a28d [ci] Test pytest-forked boxing (
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yangulei commented on PR #12371:
URL: https://github.com/apache/tvm/pull/12371#issuecomment-1211481211
@apeskov This is more like a work-around before the true solution based on
memory planning is ready.
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yangulei opened a new pull request, #12371:
URL: https://github.com/apache/tvm/pull/12371
This PR enable in-place post-op sum in dnnl json runtime for performance
concern. This feature only enabled if the `rhs` of `sum` is not `input` nor
`output` of current dnnl partition. Thus the workloa
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yangulei opened a new pull request, #12370:
URL: https://github.com/apache/tvm/pull/12370
So far, the `softmax` in the following test
``` python
import tvm
from tvm import relay
data = relay.var("data", shape=(1, 1000), dtype="bfloat16")
expr = relay.nn.softmax(data)
mod = t
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from 06ac5cde84 [testing] Remove wrapper from @slow (#11566)
add 1a3d36a28d [ci] Test pytest-forked boxing (#12312)
No ne
areusch merged PR #12312:
URL: https://github.com/apache/tvm/pull/12312
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areusch commented on PR #12369:
URL: https://github.com/apache/tvm/pull/12369#issuecomment-1211441610
progresses #11688
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areusch opened a new pull request, #12369:
URL: https://github.com/apache/tvm/pull/12369
This PR updates all images to the most recent nightly build:
https://ci.tlcpack.ai/blue/organizations/jenkins/docker-images-ci%2Fdaily-docker-image-rebuild/detail/daily-docker-image-rebuild/419/pipeline/
areusch commented on PR #11579:
URL: https://github.com/apache/tvm/pull/11579#issuecomment-1211437719
@jsheng-jian could you address the question above?
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areusch commented on PR #12028:
URL: https://github.com/apache/tvm/pull/12028#issuecomment-1211437054
thanks @blackkker and sorry for yet another delay. i tried to resolve the
merge conflicts myself here, hopefully it goes green and can merge.
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farshidsp opened a new pull request, #12368:
URL: https://github.com/apache/tvm/pull/12368
Adding flag to `pytest` to skip creating a new RPC server on the android
device.
@mehrdadh
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driazati merged PR #11566:
URL: https://github.com/apache/tvm/pull/11566
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slyubomirsky commented on issue #12362:
URL: https://github.com/apache/tvm/issues/12362#issuecomment-1211286866
Can you write a simple pass that will change ("sanitize") the variable
names? I don't know if a colon is treated in any special way by the parser, but
you could try replacing them
tkonolige commented on code in PR #12352:
URL: https://github.com/apache/tvm/pull/12352#discussion_r942888251
##
src/tir/analysis/oob_checker.cc:
##
@@ -0,0 +1,122 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.
tkonolige commented on code in PR #12352:
URL: https://github.com/apache/tvm/pull/12352#discussion_r942888251
##
src/tir/analysis/oob_checker.cc:
##
@@ -0,0 +1,122 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.
yelite opened a new pull request, #12366:
URL: https://github.com/apache/tvm/pull/12366
This PR:
- Implement Frame for the TVMScript Unified Printer
Compared to the prototype version, this:
- Removes the dependency of VarTable (SymbolTable) from Frame
- Adds a callback
github-actions[bot] commented on PR #12361:
URL: https://github.com/apache/tvm/pull/12361#issuecomment-1211240890
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commit 7eab14aace2c76cda9c4c1ee99e4c40f87c5d81c
Author: Andrew Zhao Luo
AuthorDate: Wed Aug 10 13:31:44 2
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at 7eab14aace fix assert
This branch includes the following new commits:
new 7eab14aace fix
tkonolige opened a new pull request, #12364:
URL: https://github.com/apache/tvm/pull/12364
Vtcm allocations were being moved inside loops even if they were originally
allocated outside of the loops. Normally PlanAndUpdateBufferAllocationLocation
moves allocations as close to use as possible
Lunderberg commented on code in PR #12352:
URL: https://github.com/apache/tvm/pull/12352#discussion_r942866132
##
src/tir/analysis/oob_checker.cc:
##
@@ -0,0 +1,122 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.
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add fc411dc6fa Pass that removes reshapes post LowerTE (#12215)
add 9b86009553 [Open
gbonik commented on code in PR #12344:
URL: https://github.com/apache/tvm/pull/12344#discussion_r942843203
##
src/script/printer/base_doc_printer.cc:
##
@@ -23,19 +23,256 @@ namespace tvm {
namespace script {
namespace printer {
-DocPrinter::DocPrinter(int indent_spaces) : i
gbonik commented on code in PR #12344:
URL: https://github.com/apache/tvm/pull/12344#discussion_r942842429
##
src/script/printer/base_doc_printer.cc:
##
@@ -23,19 +23,256 @@ namespace tvm {
namespace script {
namespace printer {
-DocPrinter::DocPrinter(int indent_spaces) : i
yelite commented on code in PR #12344:
URL: https://github.com/apache/tvm/pull/12344#discussion_r942838191
##
src/script/printer/base_doc_printer.cc:
##
@@ -23,19 +23,256 @@ namespace tvm {
namespace script {
namespace printer {
-DocPrinter::DocPrinter(int indent_spaces) : i
gbonik commented on code in PR #12344:
URL: https://github.com/apache/tvm/pull/12344#discussion_r942807225
##
src/script/printer/base_doc_printer.cc:
##
@@ -23,19 +23,256 @@ namespace tvm {
namespace script {
namespace printer {
-DocPrinter::DocPrinter(int indent_spaces) : i
tkonolige closed pull request #10474: [TOPHUB] Remove tophub context from VM
and Graph Executor
URL: https://github.com/apache/tvm/pull/10474
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tkonolige closed pull request #12084: [FIX,TIR] Handle allocations of variable
size
URL: https://github.com/apache/tvm/pull/12084
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cconvey commented on code in PR #12340:
URL: https://github.com/apache/tvm/pull/12340#discussion_r942794370
##
python/tvm/topi/hexagon/qnn/avg_pool2d.py:
##
@@ -0,0 +1,180 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.
vinx13 commented on code in PR #12134:
URL: https://github.com/apache/tvm/pull/12134#discussion_r942785399
##
python/tvm/relay/frontend/pytorch.py:
##
@@ -1925,16 +1925,25 @@ def pad_common(self, mode, pad_value, inputs,
input_types):
for pad in paddings:
cconvey commented on code in PR #12204:
URL: https://github.com/apache/tvm/pull/12204#discussion_r940401262
##
src/runtime/hexagon/ops/conv2d_hvx.cc:
##
@@ -0,0 +1,468 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreement
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github-bot pushed a change to branch last-successful
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from 22ba659438 [BYOC-DNNL] add partition test on sum pattern (#12357)
add cd6d19f481 [ci][tvmbot] Fix autho
junrushao1994 commented on issue #10317:
URL: https://github.com/apache/tvm/issues/10317#issuecomment-1211090372
metaschedule @junrushao1994
arith @junrushao1994
tir @junrushao1994
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driazati commented on PR #12361:
URL: https://github.com/apache/tvm/pull/12361#issuecomment-1211083237
@tvm-bot rerun
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shingjan commented on code in PR #12134:
URL: https://github.com/apache/tvm/pull/12134#discussion_r942757423
##
python/tvm/relay/frontend/pytorch.py:
##
@@ -1925,16 +1925,25 @@ def pad_common(self, mode, pad_value, inputs,
input_types):
for pad in paddings:
csullivan commented on PR #12204:
URL: https://github.com/apache/tvm/pull/12204#issuecomment-1211072314
Also @quic-sanirudh, if @kparzysz-quic is a co-author I suggest amending the
commit message with `Co-authored-by: Krzysztof Parzyszek
` which will attribute mutual authorship in Git and
csullivan commented on code in PR #12204:
URL: https://github.com/apache/tvm/pull/12204#discussion_r942612681
##
src/runtime/hexagon/ops/conv2d_hvx.cc:
##
@@ -0,0 +1,468 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreeme
driazati commented on PR #12356:
URL: https://github.com/apache/tvm/pull/12356#issuecomment-1211068960
> I wonder why github automatically tagged gigiblender
for a bit he was signed up to track tir on #10317
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mehrdadh opened a new issue, #12362:
URL: https://github.com/apache/tvm/issues/12362
I'm compiling an ONNX model which I realized the input name has this format
`input:0`. When I import the model and run it, it works fine, however if I try
to import the same Relay text with the parser it wi
jverma-quic commented on code in PR #12340:
URL: https://github.com/apache/tvm/pull/12340#discussion_r942649464
##
python/tvm/topi/hexagon/qnn/avg_pool2d.py:
##
@@ -0,0 +1,180 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreeme
driazati opened a new pull request, #12361:
URL: https://github.com/apache/tvm/pull/12361
This fixes the issue where merging from GitHub Actions (i.e. with the
default `GITHUB_TOKEN`) doesn't trigger post-merge GitHub Actions on
the commit it creates in `main`. Instead these jobs are tr
driazati commented on PR #12178:
URL: https://github.com/apache/tvm/pull/12178#issuecomment-1210931462
@tvm-bot merge
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areusch pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new cd6d19f481 [ci][tvmbot] Fix authorization filtering (#
areusch merged PR #12310:
URL: https://github.com/apache/tvm/pull/12310
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tqchen commented on PR #18:
URL: https://github.com/apache/tvm-rfcs/pull/18#issuecomment-1210920580
@areusch this can be something that is internal in TVM for now given this is
only used as a compiler abstraction not runtime
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ashutosh-arm commented on code in PR #12353:
URL: https://github.com/apache/tvm/pull/12353#discussion_r942622944
##
python/tvm/relay/op/contrib/cmsisnn.py:
##
@@ -122,6 +130,25 @@ def check_qnn_conv2d(pattern):
conv2d_input = conv2d.args[0]
conv2d_weight = conv
ashutosh-arm commented on code in PR #12353:
URL: https://github.com/apache/tvm/pull/12353#discussion_r942621766
##
tests/python/contrib/test_cmsisnn/test_fuse_pads.py:
##
@@ -0,0 +1,285 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor lice
ashutosh-arm commented on code in PR #12353:
URL: https://github.com/apache/tvm/pull/12353#discussion_r942617075
##
tests/python/contrib/test_cmsisnn/test_fuse_pads.py:
##
@@ -0,0 +1,285 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor lice
ashutosh-arm commented on code in PR #12353:
URL: https://github.com/apache/tvm/pull/12353#discussion_r942615935
##
tests/python/contrib/test_cmsisnn/test_conv2d.py:
##
@@ -403,6 +401,109 @@ def test_conv2d_asymmetric_padding_int8(
)
+@tvm.testing.requires_cmsisnn
+@pyt
SebastianBoblest commented on code in PR #12353:
URL: https://github.com/apache/tvm/pull/12353#discussion_r942613452
##
python/tvm/relay/op/contrib/cmsisnn.py:
##
@@ -122,6 +130,25 @@ def check_qnn_conv2d(pattern):
conv2d_input = conv2d.args[0]
conv2d_weight =
ashutosh-arm commented on code in PR #12353:
URL: https://github.com/apache/tvm/pull/12353#discussion_r942611235
##
python/tvm/relay/op/contrib/cmsisnn.py:
##
@@ -122,6 +130,25 @@ def check_qnn_conv2d(pattern):
conv2d_input = conv2d.args[0]
conv2d_weight = conv
driazati commented on PR #12178:
URL: https://github.com/apache/tvm/pull/12178#issuecomment-1210879967
@tvm-bot merge
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from 4280d673f1 [skip ci] [CI] Re-generate Jenkinsfile (#12360)
add 22ba659438 [BYOC-DNNL] add partition tes
SebastianBoblest commented on code in PR #12353:
URL: https://github.com/apache/tvm/pull/12353#discussion_r942434869
##
python/tvm/relay/op/contrib/cmsisnn.py:
##
@@ -122,6 +130,25 @@ def check_qnn_conv2d(pattern):
conv2d_input = conv2d.args[0]
conv2d_weight =
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from fae79bbc3e [TVMScript] Printer Registry (#12237)
add 22102063dc [ci] De-duplicate retry functions (#123
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masahi merged PR #12357:
URL: https://github.com/apache/tvm/pull/12357
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lhutton1 merged PR #12360:
URL: https://github.com/apache/tvm/pull/12360
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Mousius opened a new pull request, #12360:
URL: https://github.com/apache/tvm/pull/12360
Timing of merges resulted in the Jenkinsfile being out of sync
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Mousius commented on PR #12346:
URL: https://github.com/apache/tvm/pull/12346#issuecomment-1210429438
Thanks for the fix @kuizhiqing, this is now merged 😸
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from 5d72bc1a20 [ci][tvmbot] Ignore irrelevant Actions jobs (#12351)
add 7f100158a5 [DOCS] Fix tvm.build API doc layout
N
Mousius merged PR #12346:
URL: https://github.com/apache/tvm/pull/12346
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Mousius merged PR #12351:
URL: https://github.com/apache/tvm/pull/12351
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new 22102063dc [ci] De-duplicate retry functions (#12325)
Mousius merged PR #12325:
URL: https://github.com/apache/tvm/pull/12325
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AreopagX commented on issue #12359:
URL: https://github.com/apache/tvm/issues/12359#issuecomment-1210371992
Related: #9116
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AreopagX opened a new issue, #12359:
URL: https://github.com/apache/tvm/issues/12359
Hi all,
I was trying to convert an ONNX model to TVM and the conversion fails. The
error states:
> tvm.error.OpNotImplemented: The following operators are not supported for
frontend ONNX: Sequence
ibsidorenko opened a new pull request, #12358:
URL: https://github.com/apache/tvm/pull/12358
Main goals for this PR are the following:
1. E2E compilation should work without QNN canonicalization on the Hexagon
target.
2. Enable int8 -> int8 computation for dense/conv2d operation.
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from 1a98ea2e4f [TIR] Minor fix to tensor intrin description (#12356)
add fae79bbc3e [TVMScript] Printer Reg
This is an automated email from the ASF dual-hosted git repository.
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from a6c3b1f6c3 [TIR] Add int8 CUDA tensor core intrinsics (#12354)
add 1a98ea2e4f [TIR] Minor fix to tensor
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