avquicinc opened a new pull request, #12165:
URL: https://github.com/apache/tvm/pull/12165
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huajsj closed issue #8596: [RFC][Tracking Issue] Pipeline Executor For Compute
graph pipeline
URL: https://github.com/apache/tvm/issues/8596
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huajsj commented on issue #8596:
URL: https://github.com/apache/tvm/issues/8596#issuecomment-1193049300
all the task done, thanks @comaniac and @masahi for the kindly review,
thanks @rebel-shshin for the follow up, close this issue now.
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huajsj commented on issue #8596:
URL: https://github.com/apache/tvm/issues/8596#issuecomment-1193048829
> > > > thanks @masahi for the follow up, I am also looking forward a chance
to do a demo after all patch upstream done.
> > >
> > >
> > > Hi @huajsj, do you have any plan to
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github-bot pushed a change to branch nightly-docker-update
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discard 34c262b3f6 [ci][docker] Nightly Docker image update
add 8c42a83361 [arith][BugFix] Fix simplify
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from 8dafaf3a4d [Adreno] Fix winograd schedule to support prime shapes > 4
(#12157)
add a07e18ea4e
zxybazh commented on issue #12135:
URL: https://github.com/apache/tvm/issues/12135#issuecomment-1192986103
Hi thanks for reporting this issue, I think you may correct the PrimFunc by
removing the root block definition and variable binding as follows:
```
@T.prim_func
def
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andrewzhaoluo pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new 76155c2f3c [QNN] Support different qnn params
AndrewZhaoLuo merged PR #12116:
URL: https://github.com/apache/tvm/pull/12116
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huajsj commented on code in PR #11599:
URL: https://github.com/apache/tvm/pull/11599#discussion_r927954242
##
src/runtime/threading_backend.cc:
##
@@ -321,12 +350,25 @@ class ThreadGroup::Impl {
}
}
+#ifndef __hexagon__
+ pid_t Tid() {
+#if defined(_WIN32)
+
masahi merged PR #11557:
URL: https://github.com/apache/tvm/pull/11557
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masahi pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new ecd3c884de [Runtime][PipelineExecutor] Tutorial of
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kparzysz pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new 9863cf0d5f [hexagon][testing] Better pytest ID
kparzysz-quic merged PR #12154:
URL: https://github.com/apache/tvm/pull/12154
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cconvey commented on PR #12164:
URL: https://github.com/apache/tvm/pull/12164#issuecomment-1192871314
CC: @Lunderberg
CC: @jverma-quic : FYI in case this this is useful to your work
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cconvey opened a new pull request, #12164:
URL: https://github.com/apache/tvm/pull/12164
Add support for populating unit-test input tensors with values other than
random.
**NOTE** This is WIP because it builds upon
https://github.com/apache/tvm/pull/12154 which is not yet merged.
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kparzysz pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new a07e18ea4e [HEXAGON] QCOM hexagon library (qhl)
kparzysz-quic merged PR #12149:
URL: https://github.com/apache/tvm/pull/12149
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cconvey commented on PR #12154:
URL: https://github.com/apache/tvm/pull/12154#issuecomment-1192760478
@jverma-quic : FYI because you authored one of these files.
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huajsj commented on code in PR #11557:
URL: https://github.com/apache/tvm/pull/11557#discussion_r927795483
##
gallery/how_to/work_with_relay/using_pipeline_executor.py:
##
@@ -0,0 +1,248 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor
huajsj commented on code in PR #11557:
URL: https://github.com/apache/tvm/pull/11557#discussion_r927795834
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##
@@ -0,0 +1,248 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor
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leandron pushed a change to branch ci-docker-staging
in repository https://gitbox.apache.org/repos/asf/tvm.git
discard 477d4d668b Validating new gpu image
add 8bf6cd5800 [TVMC] Fix tvmc run when using rpc (#11757)
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commit cb6f6409a54e0baeac18c6bb434f911343a3f7d1
Author: Leandro Nunes
AuthorDate: Mon May 23 11:55:08 2022 +0100
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commit a7e936006471f70ca2e5a6fbd48bc4e4e65d4239
Author: Leandro Nunes
AuthorDate: Fri Jul 22 16:41:03 2022 +0100
MoebiusMeow opened a new issue, #12163:
URL: https://github.com/apache/tvm/issues/12163
I simply used relay.frontend.from_onnx to import an ONNX model from PyTorch.
The code works fine when freeze_params is set to True (default).
When I was trying to separate weights from other
echuraev commented on code in PR #11878:
URL: https://github.com/apache/tvm/pull/11878#discussion_r927596550
##
tests/python/relay/test_conv2d_nchw_texture.py:
##
@@ -435,3 +435,641 @@ def test_conv2d_vgg16_winograd_4d():
graph = build_run_compare(mod, params1, {"data":
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from 4a94a94dfc fix T.Ptr[T.void] for packed api roundtrip (#12118)
add 8dafaf3a4d [Adreno] Fix winograd
18761692867 opened a new issue, #12162:
URL: https://github.com/apache/tvm/issues/12162
I have a problem today, maybe is a bug in tvm 0.6, my english is poor, i
will try my best to describe the problem clearly ^ ^
**the test py :**
`def test_rfactor():
shape_in = (4, 64,
yincs-intellif closed pull request #12159: [IR] Normalize IntImm signed Integer
type
URL: https://github.com/apache/tvm/pull/12159
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yincs-intellif opened a new issue, #12161:
URL: https://github.com/apache/tvm/issues/12161
Current IntImm Node can't express negative number by hexadecimal.
Eg: x = tvm.tir.const(0x, "int32")
x.value should be -1 rather than 4294967295
Whether we need to consider this
lhutton1 opened a new pull request, #12160:
URL: https://github.com/apache/tvm/pull/12160
The NPU support library compiler sometimes adds padding to input tensors
which means the buffer sizes calculated at runtime can sometimes be smaller
than necessary. Instead, buffer sizes are now
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masahi pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new 8dafaf3a4d [Adreno] Fix winograd schedule to support
masahi merged PR #12157:
URL: https://github.com/apache/tvm/pull/12157
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masahi commented on code in PR #11557:
URL: https://github.com/apache/tvm/pull/11557#discussion_r927382124
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+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor
huajsj commented on code in PR #11557:
URL: https://github.com/apache/tvm/pull/11557#discussion_r927378703
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@@ -0,0 +1,250 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor
huajsj commented on code in PR #11557:
URL: https://github.com/apache/tvm/pull/11557#discussion_r927379490
##
gallery/how_to/work_with_relay/using_pipeline_executor.py:
##
@@ -0,0 +1,250 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor
huajsj commented on code in PR #11557:
URL: https://github.com/apache/tvm/pull/11557#discussion_r927378703
##
gallery/how_to/work_with_relay/using_pipeline_executor.py:
##
@@ -0,0 +1,250 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor
huajsj commented on code in PR #11557:
URL: https://github.com/apache/tvm/pull/11557#discussion_r927376733
##
gallery/how_to/work_with_relay/using_pipeline_executor.py:
##
@@ -0,0 +1,250 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor
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from 8c42a83361 [arith][BugFix] Fix simplify input PrimExpr of
DetectClipBound (#12150)
add 4a94a94dfc fix
yincs-intellif opened a new pull request, #12159:
URL: https://github.com/apache/tvm/pull/12159
This patch normalize signed IntImm node.
Eg: x = tvm.tir.const(0x, "int32")
x.value should be -1 rather than 4294967295
cc @Hzfengsy
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from 4fc79b5594 [ETHOSN] Supply output tensor to issupported checks (#11944)
add 8c42a83361 [arith][BugFix]
huajsj commented on code in PR #11557:
URL: https://github.com/apache/tvm/pull/11557#discussion_r927332299
##
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##
@@ -0,0 +1,250 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor
huajsj commented on code in PR #11557:
URL: https://github.com/apache/tvm/pull/11557#discussion_r927332299
##
gallery/how_to/work_with_relay/using_pipeline_executor.py:
##
@@ -0,0 +1,250 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor
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