AndrewZhaoLuo commented on pull request #8228:
URL: https://github.com/apache/tvm/pull/8228#issuecomment-858295549
I'm not entirely sure Matthew. What's the best way for me to check to answer
your question?
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masahi pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from d97d8d3 fake quantization to integer (#8228)
add b93e56e [CuBLAS] Support implicit broadcast in batch_matmul
masahi commented on pull request #8229:
URL: https://github.com/apache/tvm/pull/8229#issuecomment-858291499
Thanks @comaniac, we should do this for rocblas too @csullivan @altanh
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masahi closed issue #7730:
URL: https://github.com/apache/tvm/issues/7730
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masahi pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from a468f08 Add metadata information to the listing of PassContext
configuration listing function (#8226)
add d97d8d3
masahi merged pull request #8229:
URL: https://github.com/apache/tvm/pull/8229
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masahi merged pull request #8228:
URL: https://github.com/apache/tvm/pull/8228
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jcf94 commented on pull request #8226:
URL: https://github.com/apache/tvm/pull/8226#issuecomment-858246889
Thanks! @leandron @comaniac
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jcf94 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 a468f08 Add metadata information to the listing of
jcf94 merged pull request #8226:
URL: https://github.com/apache/tvm/pull/8226
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jcf94 pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 34e9a4f [Frontend, Tensorflow, Tensorflow2] Tensorflow frontend op
refactor (#8179)
add d767659 Fix use of wrong
jcf94 merged pull request #8227:
URL: https://github.com/apache/tvm/pull/8227
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dvhg opened a new issue #8233:
URL: https://github.com/apache/tvm/issues/8233
I'm trying to run PyTorch MaskRCNN on GPU and have been running into GPU
memory issues. I get errors when running repeated inferences using different
inputs. There's some variety in the error messages but this
FrozenGene commented on a change in pull request #8223:
URL: https://github.com/apache/tvm/pull/8223#discussion_r648799216
##
File path: apps/cpp_rpc/rpc_env.cc
##
@@ -95,7 +95,13 @@ RPCEnv::RPCEnv(const std::string& wd) {
auto cmdline = fopen("/proc/self/cmdline", "r");
FrozenGene commented on a change in pull request #8223:
URL: https://github.com/apache/tvm/pull/8223#discussion_r648798469
##
File path: .gitignore
##
@@ -197,6 +197,7 @@ tvm_t.*
.pytest_cache
.local
cmake-build-debug
+cmake-build*
Review comment:
Yes, if you think
YongtaoHuang1994 opened a new issue #8232:
URL: https://github.com/apache/tvm/issues/8232
**OS**: ubuntu 18.04
**NVIDIA GPU**: GM107GL [Quadro K620]
First, the inference code can run in the on the physical machine (no docker
env)
```
(tvm-build)
fantasyRqg commented on a change in pull request #8223:
URL: https://github.com/apache/tvm/pull/8223#discussion_r648789399
##
File path: .gitignore
##
@@ -197,6 +197,7 @@ tvm_t.*
.pytest_cache
.local
cmake-build-debug
+cmake-build*
Review comment:
Should I modify
tiandiao123 commented on issue #8057:
URL: https://github.com/apache/tvm/issues/8057#issuecomment-858216535
> It is possible that relay and PT have different deform conv 2d results. I
had put up a PR #7397 which fixed this for PT 1.6 . It's possible they changed
something for later
fantasyRqg commented on a change in pull request #8223:
URL: https://github.com/apache/tvm/pull/8223#discussion_r648791852
##
File path: apps/cpp_rpc/rpc_env.cc
##
@@ -95,7 +95,13 @@ RPCEnv::RPCEnv(const std::string& wd) {
auto cmdline = fopen("/proc/self/cmdline", "r");
fantasyRqg commented on a change in pull request #8223:
URL: https://github.com/apache/tvm/pull/8223#discussion_r648789399
##
File path: .gitignore
##
@@ -197,6 +197,7 @@ tvm_t.*
.pytest_cache
.local
cmake-build-debug
+cmake-build*
Review comment:
Should modify
FrozenGene commented on a change in pull request #8223:
URL: https://github.com/apache/tvm/pull/8223#discussion_r648788698
##
File path: apps/cpp_rpc/rpc_env.cc
##
@@ -95,7 +95,13 @@ RPCEnv::RPCEnv(const std::string& wd) {
auto cmdline = fopen("/proc/self/cmdline", "r");
FrozenGene commented on a change in pull request #8223:
URL: https://github.com/apache/tvm/pull/8223#discussion_r648786905
##
File path: .gitignore
##
@@ -197,6 +197,7 @@ tvm_t.*
.pytest_cache
.local
cmake-build-debug
+cmake-build*
Review comment:
your pr should not
FrozenGene commented on pull request #8223:
URL: https://github.com/apache/tvm/pull/8223#issuecomment-858210821
please fix the format problem using clang-format-10
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FrozenGene commented on pull request #8179:
URL: https://github.com/apache/tvm/pull/8179#issuecomment-858210014
Thanks @rohanmukh @trevor-m TF2 is one important frontend for TVM users.
Great work and let us go on!
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zhaowu pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 4d9bc9b [RUNTIME] ShapeTuple Container (#8200)
add 34e9a4f [Frontend, Tensorflow, Tensorflow2] Tensorflow frontend
FrozenGene merged pull request #8179:
URL: https://github.com/apache/tvm/pull/8179
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lmxyy commented on pull request #8203:
URL: https://github.com/apache/tvm/pull/8203#issuecomment-858208528
@tqchen @areusch @merrymercy
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merrymercy opened a new pull request #8231:
URL: https://github.com/apache/tvm/pull/8231
Please join us to welcome @echuraev as a new reviewer
He has contributed to the metal backend, auto-scheduler, and ONNX frontend.
He also actively participates in the discussion forum.
-
gromero opened a new pull request #8230:
URL: https://github.com/apache/tvm/pull/8230
Hi,
Could the following small change be reviewed please?
It's necessary to make the build of the libraries (`common`,
`utvm_rpc_common`, `utvm_rpc_server`, etc) be aware of board-specific
ZihengJiang commented on pull request #8200:
URL: https://github.com/apache/tvm/pull/8200#issuecomment-858156751
Merged. Thanks @tqchen @junrushao1994 @tkonolige for review.
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ziheng 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 4d9bc9b [RUNTIME] ShapeTuple Container (#8200)
ZihengJiang merged pull request #8200:
URL: https://github.com/apache/tvm/pull/8200
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ZihengJiang commented on a change in pull request #8200:
URL: https://github.com/apache/tvm/pull/8200#discussion_r648739431
##
File path: include/tvm/runtime/container/shape_tuple.h
##
@@ -0,0 +1,180 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or
Lunderberg commented on pull request #8010:
URL: https://github.com/apache/tvm/pull/8010#issuecomment-858150839
Added one more bugfix. First implementation of removing fixture functions
from module scope was a bit overzealous, also removed any objects that
implement `__getattr__`, such
mbrookhart commented on pull request #8228:
URL: https://github.com/apache/tvm/pull/8228#issuecomment-858149355
But which clang? We run both gcc and clang in CI.
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comaniac opened a new pull request #8229:
URL: https://github.com/apache/tvm/pull/8229
Closing #7730
This PR improves CuBLAS batch_matmul to support implicit broadcasting (i.e.,
the first dimension of matrix B is 1). Before this PR, the added test cases
will throw errors like
Lunderberg commented on pull request #8029:
URL: https://github.com/apache/tvm/pull/8029#issuecomment-858127739
Next round of updates, tested locally against the newer version of sphinx
used by CI, and rebased against main. Should have all build warnings fixed up
through commit
AndrewZhaoLuo commented on pull request #8228:
URL: https://github.com/apache/tvm/pull/8228#issuecomment-858122312
I'm on mac so it must be `clang`
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AndrewZhaoLuo opened a new pull request #8228:
URL: https://github.com/apache/tvm/pull/8228
Without this, the compiler generates a warning.
cc @mbrookhart
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AndrewZhaoLuo edited a comment on pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#issuecomment-858045479
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tkonolige commented on a change in pull request #8200:
URL: https://github.com/apache/tvm/pull/8200#discussion_r648688459
##
File path: include/tvm/runtime/container/shape_tuple.h
##
@@ -0,0 +1,180 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or
AndrewZhaoLuo edited a comment on pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#issuecomment-858045479
Hey folks, covered the simple changes requested, here is the list of more
involved changes along with the associated reviewer. Several of these changes
were planned to
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648649618
##
File path: python/tvm/relay/transform/transform.py
##
@@ -1199,3 +1198,20 @@ def FakeQuantizationToInteger():
The registered SimplifyExpr
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648649618
##
File path: python/tvm/relay/transform/transform.py
##
@@ -1199,3 +1198,20 @@ def FakeQuantizationToInteger():
The registered SimplifyExpr
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648649618
##
File path: python/tvm/relay/transform/transform.py
##
@@ -1199,3 +1198,20 @@ def FakeQuantizationToInteger():
The registered SimplifyExpr
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648649618
##
File path: python/tvm/relay/transform/transform.py
##
@@ -1199,3 +1198,20 @@ def FakeQuantizationToInteger():
The registered SimplifyExpr
AndrewZhaoLuo commented on pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#issuecomment-858045479
Hey folks, covered the simple changes requested, here is the list of more
involved changes along with the associated reviewer. Several of these changes
were planned to be
comaniac commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648620237
##
File path: src/relay/transforms/fp32_to_fp16.cc
##
@@ -0,0 +1,337 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
SerkanMuhcu opened a new pull request #8227:
URL: https://github.com/apache/tvm/pull/8227
The function argument is named `kernel` and these lines used `filter`
instead.
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comaniac commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648618186
##
File path: src/relay/transforms/fp32_to_fp16.cc
##
@@ -0,0 +1,337 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648609224
##
File path: src/relay/transforms/fp32_to_fp16.cc
##
@@ -0,0 +1,337 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648617582
##
File path: tests/python/relay/test_fp32_to_fp16_transform.py
##
@@ -0,0 +1,328 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+#
leandron opened a new pull request #8226:
URL: https://github.com/apache/tvm/pull/8226
Add metadata information to the listing of PassContext configuration listing
function.
* Rename PassContext::ListConfigNames() to PassContext::ListConfigs() and
its
Python counterpart
kparzysz-quic commented on pull request #8213:
URL: https://github.com/apache/tvm/pull/8213#issuecomment-858034729
I've been using the entire clang toolchain built with assertions (the
Release+Assertions build) in my daily work and I don't find it too slow.
Frankly, I'm not sure if I
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648611836
##
File path: src/relay/transforms/fp32_to_fp16.cc
##
@@ -0,0 +1,337 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648609224
##
File path: src/relay/transforms/fp32_to_fp16.cc
##
@@ -0,0 +1,337 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
SerkanMuhcu opened a new pull request #8225:
URL: https://github.com/apache/tvm/pull/8225
This is mostly a copy of the implementation of `bitserial_conv2d` with the
height dimension removed.
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comaniac commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648604259
##
File path: src/relay/transforms/fp32_to_fp16.h
##
@@ -0,0 +1,232 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648601951
##
File path: src/relay/transforms/fp32_to_fp16.h
##
@@ -0,0 +1,232 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
comaniac commented on pull request #8212:
URL: https://github.com/apache/tvm/pull/8212#issuecomment-858015437
Thanks @leandron @mbaret @zhiics @zackcquic
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comaniac pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 53e4c60 [DOC] Improve "Getting Started with TVM" tutorials and fix
warnings (#8221)
add 1f2ca06 Expose list of
comaniac merged pull request #8212:
URL: https://github.com/apache/tvm/pull/8212
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leandron commented on pull request #8212:
URL: https://github.com/apache/tvm/pull/8212#issuecomment-858012625
> Hi @leandron:
>
> LGTM.
>
> May I know what kind of features (next PR as you mentioned before) depend
on this change?
Hi @zackcquic yes, sure. I'm working on
comaniac commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648599365
##
File path: python/tvm/relay/transform/transform.py
##
@@ -1199,3 +1198,20 @@ def FakeQuantizationToInteger():
The registered SimplifyExpr pass.
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648598356
##
File path: src/relay/transforms/fp32_to_fp16.cc
##
@@ -0,0 +1,337 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648596936
##
File path: python/tvm/relay/transform/transform.py
##
@@ -1199,3 +1198,20 @@ def FakeQuantizationToInteger():
The registered SimplifyExpr
comaniac commented on pull request #6:
URL: https://github.com/apache/tvm-rfcs/pull/6#issuecomment-857950295
> > Thanks for the answers. I'll review the PR to get more implementation
details.
> > One more question regarding the extensibility: can this be extended
easily to support
comaniac commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r648541663
##
File path: src/relay/transforms/fp32_to_fp16.cc
##
@@ -0,0 +1,337 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
tmoreau89 commented on pull request #6:
URL: https://github.com/apache/tvm-rfcs/pull/6#issuecomment-857933603
CCing @csullivan
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AndrewZhaoLuo commented on pull request #6:
URL: https://github.com/apache/tvm-rfcs/pull/6#issuecomment-857931228
I don't know Chris Sullivan's github handle so if someone could cc him too
that would be great.
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AndrewZhaoLuo commented on pull request #6:
URL: https://github.com/apache/tvm-rfcs/pull/6#issuecomment-857922283
> Thanks for the answers. I'll review the PR to get more implementation
details.
> One more question regarding the extensibility: can this be extended easily
to support
csullivan commented on pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#issuecomment-857915269
Thanks for this great PR! Would it be too much to ask for AMPRewrite and
corresponding infra to support mixed precision with generic reduced precision
floating point types? I
comaniac commented on pull request #6:
URL: https://github.com/apache/tvm-rfcs/pull/6#issuecomment-857914672
Thanks for the answers. I'll review the PR to get more implementation
details.
One more question regarding the extensibility: can this be extended easily
to support bfloat16?
junrushao1994 commented on a change in pull request #8215:
URL: https://github.com/apache/tvm/pull/8215#discussion_r648535578
##
File path: python/tvm/script/intrin.py
##
@@ -180,6 +185,11 @@ def opaque_axis(begin, end, span):
return get_axis(begin, end, "opaque", span)
AndrewZhaoLuo edited a comment on pull request #6:
URL: https://github.com/apache/tvm-rfcs/pull/6#issuecomment-857903539
> Thanks for the RFC. I have two questions:
>
> 1. How to mark/set the color (i.e., attribute) of every operator?
> 2. It seems to me that if we register a
AndrewZhaoLuo edited a comment on pull request #6:
URL: https://github.com/apache/tvm-rfcs/pull/6#issuecomment-857903539
> Thanks for the RFC. I have two questions:
>
> 1. How to mark/set the color (i.e., attribute) of every operator?
> 2. It seems to me that if we register a
AndrewZhaoLuo commented on pull request #6:
URL: https://github.com/apache/tvm-rfcs/pull/6#issuecomment-857903539
> Thanks for the RFC. I have two questions:
>
> 1. How to mark/set the color (i.e., attribute) of every operator?
> 2. It seems to me that if we register a casting
tqchen commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r648528792
##
File path: rfcs/0001-meta-schedule-autotensorir.md
##
@@ -0,0 +1,297 @@
+* Feature Name: Meta Schedule (AutoTensorIR)
Review comment:
Please add asf
comaniac commented on pull request #6:
URL: https://github.com/apache/tvm-rfcs/pull/6#issuecomment-857889774
Thanks for the RFC. I have two questions:
1. How to mark/set the color (i.e., attribute) of every operator?
2. It seems to me that if we register a casting checker instead of
tkonolige commented on a change in pull request #8220:
URL: https://github.com/apache/tvm/pull/8220#discussion_r648494489
##
File path: docs/dev/pass_infra.rst
##
@@ -109,7 +109,8 @@ configure the compilation options, including optimization
level and
required/disabled
tqchen commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r648515238
##
File path: rfcs/0001-meta-schedule-autotensorir.md
##
@@ -0,0 +1,297 @@
+* Feature Name: Meta Schedule (AutoTensorIR)
+* Start Date: 2021-05-28
+* RFC PR:
tqchen commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r648514264
##
File path: rfcs/0001-meta-schedule-autotensorir.md
##
@@ -0,0 +1,297 @@
+* Feature Name: Meta Schedule (AutoTensorIR)
+* Start Date: 2021-05-28
+* RFC PR:
Lunderberg opened a new pull request #7:
URL: https://github.com/apache/tvm-rfcs/pull/7
Migrating earlier conversation from
https://discuss.tvm.apache.org/t/rfc-parametrized-unit-tests/9946. RFC should
be up to date with all changes/conversations that occurred in that thread.
tqchen commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r648507080
##
File path: rfcs/0001-meta-schedule-autotensorir.md
##
@@ -0,0 +1,297 @@
+* Feature Name: Meta Schedule (AutoTensorIR)
+* Start Date: 2021-05-28
+* RFC PR:
comaniac commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r648506005
##
File path: rfcs/0001-meta-schedule-autotensorir.md
##
@@ -0,0 +1,297 @@
+* Feature Name: Meta Schedule (AutoTensorIR)
+* Start Date: 2021-05-28
+* RFC PR:
comaniac commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r648492658
##
File path: rfcs/0001-meta-schedule-autotensorir.md
##
@@ -0,0 +1,297 @@
+* Feature Name: Meta Schedule (AutoTensorIR)
+* Start Date: 2021-05-28
+* RFC PR:
comaniac commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r648491301
##
File path: rfcs/0001-meta-schedule-autotensorir.md
##
@@ -0,0 +1,297 @@
+* Feature Name: Meta Schedule (AutoTensorIR)
+* Start Date: 2021-05-28
+* RFC PR:
tkonolige commented on a change in pull request #8215:
URL: https://github.com/apache/tvm/pull/8215#discussion_r648491258
##
File path: python/tvm/script/intrin.py
##
@@ -180,6 +185,11 @@ def opaque_axis(begin, end, span):
return get_axis(begin, end, "opaque", span)
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tqchen pushed a commit to branch asf-site
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new 12a3558 Build at Wed Jun 9 12:44:31 EDT
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new 2cba23c Update community.yml
2cba23c is
tkonolige commented on a change in pull request #8215:
URL: https://github.com/apache/tvm/pull/8215#discussion_r648490597
##
File path: tests/python/unittest/test_tvmscript_roundtrip.py
##
@@ -2888,6 +2888,67 @@ def test_opaque_block():
assert
comaniac commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r648490438
##
File path: rfcs/0001-meta-schedule-autotensorir.md
##
@@ -0,0 +1,297 @@
+* Feature Name: Meta Schedule (AutoTensorIR)
+* Start Date: 2021-05-28
+* RFC PR:
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new aef74e6 Build at Wed Jun 9 12:42:18 EDT
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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 b29da47 Add a card with community calendar
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comaniac pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 8a04efa Graph executor: remove unnecessary unique_ptr, NFC (#8214)
add 53e4c60 [DOC] Improve "Getting Started
comaniac commented on pull request #8221:
URL: https://github.com/apache/tvm/pull/8221#issuecomment-857854344
Thanks @merrymercy @jcf94 @hogepodge
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comaniac merged pull request #8221:
URL: https://github.com/apache/tvm/pull/8221
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areusch commented on a change in pull request #8072:
URL: https://github.com/apache/tvm/pull/8072#discussion_r648477840
##
File path: python/tvm/micro/model_library_format.py
##
@@ -203,60 +209,200 @@ def _build_function_memory_map(function_metadata):
return ret
-def
areusch commented on a change in pull request #8072:
URL: https://github.com/apache/tvm/pull/8072#discussion_r648477840
##
File path: python/tvm/micro/model_library_format.py
##
@@ -203,60 +209,200 @@ def _build_function_memory_map(function_metadata):
return ret
-def
areusch commented on a change in pull request #8072:
URL: https://github.com/apache/tvm/pull/8072#discussion_r648474389
##
File path: src/printer/model_library_format_printer.cc
##
@@ -0,0 +1,75 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
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