comaniac closed issue #7732:
URL: https://github.com/apache/tvm/issues/7732
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comaniac commented on issue #7732:
URL: https://github.com/apache/tvm/issues/7732#issuecomment-806393664
You are not supposed to run the generated kernel by your own, so this is not
a limitation to me. Since this is not a bug, I'm going to close this issue. For
future questions, please pos
Haoran-Solar commented on issue #7732:
URL: https://github.com/apache/tvm/issues/7732#issuecomment-806391681
Thanks for reply. I just started to try auto-scheduler, I change nothing in
file tune_conv2d, just want to have a test.
Using prams from last layer in ResNet-50, just the tutorial
masahi commented on pull request #7722:
URL: https://github.com/apache/tvm/pull/7722#issuecomment-806353561
thanks @AndrewZhaoLuo @mbrookhart @jwfromm
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masahi 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 8e23806 [Topi, Relay] Add cumprod (#7722)
8e23806 is d
masahi merged pull request #7722:
URL: https://github.com/apache/tvm/pull/7722
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altanh commented on pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#issuecomment-806348360
Ended up having to make ToScalar return an optional value due to a custom
datatype test (which as far as I can tell, we don't have a good way of
supporting conversion at compile time
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zhaowu pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 3ba5868 [TensorIR] Fix parser autocompletion mode (#7737)
add 7130e80 Better grouped convolution for CPU targets (#
FrozenGene commented on pull request #6137:
URL: https://github.com/apache/tvm/pull/6137#issuecomment-806327714
Thanks @Wheest Merged now
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FrozenGene merged pull request #6137:
URL: https://github.com/apache/tvm/pull/6137
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mvermeulen opened a new pull request #7740:
URL: https://github.com/apache/tvm/pull/7740
Thanks for contributing to TVM! Please refer to guideline
https://tvm.apache.org/docs/contribute/ for useful information and tips. After
the pull request is submitted, please request code reviews fro
schell commented on pull request #7503:
URL: https://github.com/apache/tvm/pull/7503#issuecomment-806240649
Any luck @jroesch @tqchen ?
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hogepodge commented on pull request #7641:
URL: https://github.com/apache/tvm/pull/7641#issuecomment-806237862
@tqchen @leandron ready for final review
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hogepodge commented on pull request #7638:
URL: https://github.com/apache/tvm/pull/7638#issuecomment-806236079
@tqchen ready for review
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hogepodge commented on pull request #7643:
URL: https://github.com/apache/tvm/pull/7643#issuecomment-806235620
@tqchen ready for review
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areusch pushed a change to branch ci-docker-staging
in repository https://gitbox.apache.org/repos/asf/tvm.git.
discard 8cbc164 Merge remote-tracking branch 'origin/main' into
test_mdw_qemu_changes
discard 87be5dd fix path
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areusch pushed a commit to branch ci-docker-staging
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commit 7e48aa8ef6e2ee540bb8c374ed326cd929cc756f
Author: Andrew Reusch
AuthorDate: Wed Mar 24 15:39:15 2021 -0700
hogepodge commented on pull request #7642:
URL: https://github.com/apache/tvm/pull/7642#issuecomment-806226992
@comaniac @Hzfengsy changes committed, ready for review
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altanh commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600912352
##
File path: src/relay/transforms/simplify_expr.h
##
@@ -0,0 +1,79 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contribut
tqchen commented on pull request #7737:
URL: https://github.com/apache/tvm/pull/7737#issuecomment-806195883
Thanks @Hzfengsy @MasterJH5574 . This PR is merged
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comaniac commented on pull request #7739:
URL: https://github.com/apache/tvm/pull/7739#issuecomment-806190266
I'm fine with this change. Leave on others.
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CircleSpin commented on pull request #7739:
URL: https://github.com/apache/tvm/pull/7739#issuecomment-806185373
@comaniac @mdw-octoml @leandron @jwfromm
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CircleSpin opened a new pull request #7739:
URL: https://github.com/apache/tvm/pull/7739
This PR moves the load component from compile_module to drive_compile to
make it cleaner for python scripting. It prevents "double dipping" the load in
frontends more than once.
The flow is now
altanh commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600865480
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -249,36 +249,214 @@ class FullElementwise : public SimplifyPattern {
};
/*!
- * \brief ExprSimpli
mbrookhart commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600863750
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -249,36 +249,214 @@ class FullElementwise : public SimplifyPattern {
};
/*!
- * \brief ExprSi
mbrookhart commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600863512
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -249,36 +249,214 @@ class FullElementwise : public SimplifyPattern {
};
/*!
- * \brief ExprSi
mbrookhart commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600863124
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -249,36 +249,214 @@ class FullElementwise : public SimplifyPattern {
};
/*!
- * \brief ExprSi
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tqchen pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from cfe2e28 [crt] fix heap corruption from bad allocation (#7735)
add 3ba5868 [TensorIR] Fix parser autocompletion mode
tqchen merged pull request #7737:
URL: https://github.com/apache/tvm/pull/7737
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AndrewZhaoLuo commented on a change in pull request #7722:
URL: https://github.com/apache/tvm/pull/7722#discussion_r600860418
##
File path: python/tvm/topi/cuda/scan.py
##
@@ -514,10 +616,54 @@ def cumsum(data, axis=None, dtype=None, exclusive=None):
The result has the
altanh commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600860158
##
File path: src/relay/transforms/simplify_expr.h
##
@@ -0,0 +1,79 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contribut
altanh commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600858602
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -249,36 +249,214 @@ class FullElementwise : public SimplifyPattern {
};
/*!
- * \brief ExprSimpli
altanh commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600858326
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -249,36 +249,214 @@ class FullElementwise : public SimplifyPattern {
};
/*!
- * \brief ExprSimpli
comaniac commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600852619
##
File path: src/relay/transforms/simplify_expr.h
##
@@ -0,0 +1,79 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contrib
mbrookhart commented on a change in pull request #7722:
URL: https://github.com/apache/tvm/pull/7722#discussion_r600849643
##
File path: python/tvm/relay/op/_transform.py
##
@@ -19,16 +19,17 @@
# pylint: disable=too-many-local-variables, too-many-arguments, no-else-return
f
masahi commented on a change in pull request #7722:
URL: https://github.com/apache/tvm/pull/7722#discussion_r600848449
##
File path: python/tvm/relay/op/_transform.py
##
@@ -19,16 +19,17 @@
# pylint: disable=too-many-local-variables, too-many-arguments, no-else-return
from
masahi commented on a change in pull request #7722:
URL: https://github.com/apache/tvm/pull/7722#discussion_r600847541
##
File path: python/tvm/topi/cuda/scan.py
##
@@ -514,10 +616,54 @@ def cumsum(data, axis=None, dtype=None, exclusive=None):
The result has the same s
altanh commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600844682
##
File path: src/relay/transforms/simplify_expr.h
##
@@ -0,0 +1,79 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contribut
mbrookhart commented on a change in pull request #7722:
URL: https://github.com/apache/tvm/pull/7722#discussion_r600842607
##
File path: python/tvm/topi/cuda/scan.py
##
@@ -514,10 +616,54 @@ def cumsum(data, axis=None, dtype=None, exclusive=None):
The result has the sa
AndrewZhaoLuo commented on a change in pull request #7722:
URL: https://github.com/apache/tvm/pull/7722#discussion_r600838442
##
File path: python/tvm/topi/cuda/scan.py
##
@@ -514,10 +616,54 @@ def cumsum(data, axis=None, dtype=None, exclusive=None):
The result has the
mbrookhart commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600836110
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -249,36 +249,214 @@ class FullElementwise : public SimplifyPattern {
};
/*!
- * \brief ExprSi
mbrookhart commented on a change in pull request #7722:
URL: https://github.com/apache/tvm/pull/7722#discussion_r600830424
##
File path: python/tvm/topi/cuda/scan.py
##
@@ -514,10 +616,54 @@ def cumsum(data, axis=None, dtype=None, exclusive=None):
The result has the sa
altanh commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600826676
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -249,36 +248,214 @@ class FullElementwise : public SimplifyPattern {
};
/*!
- * \brief ExprSimpli
altanh commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600824893
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -249,36 +248,214 @@ class FullElementwise : public SimplifyPattern {
};
/*!
- * \brief ExprSimpli
altanh commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600823616
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -249,36 +248,214 @@ class FullElementwise : public SimplifyPattern {
};
/*!
- * \brief ExprSimpli
areusch edited a comment on issue #7590:
URL: https://github.com/apache/tvm/issues/7590#issuecomment-806095709
https://ci.tlcpack.ai/blue/organizations/jenkins/tvm/detail/PR-7438/12/pipeline/
`INFO: NODE_NAME=node.aladdin.cudabuild EXECUTOR_NUMBER=1`
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areusch commented on issue #7590:
URL: https://github.com/apache/tvm/issues/7590#issuecomment-806095709
https://ci.tlcpack.ai/blue/organizations/jenkins/tvm/detail/PR-7438/12/pipeline/
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tqchen commented on a change in pull request #7696:
URL: https://github.com/apache/tvm/pull/7696#discussion_r600805865
##
File path: golang/Makefile
##
@@ -25,7 +25,7 @@ NATIVE_SRC = tvm_runtime_pack.cc
GOPATH=$(CURDIR)/gopath
GOPATHDIR=${GOPATH}/src/${TARGET}/
CGO_CPPFLAGS=
comaniac commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600800776
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -249,36 +248,214 @@ class FullElementwise : public SimplifyPattern {
};
/*!
- * \brief ExprSimp
hogepodge commented on a change in pull request #7642:
URL: https://github.com/apache/tvm/pull/7642#discussion_r600791467
##
File path: tutorials/get_started/tensor_expr_get_started.py
##
@@ -302,18 +385,452 @@
fadd_cl(a, b, c)
tvm.testing.assert_allclose(c.asnumpy(),
altanh commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600785922
##
File path: src/relay/transforms/concretize_like.cc
##
@@ -0,0 +1,182 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contr
hogepodge commented on a change in pull request #7642:
URL: https://github.com/apache/tvm/pull/7642#discussion_r600785887
##
File path: tutorials/get_started/tensor_expr_get_started.py
##
@@ -163,52 +145,156 @@
fadd(a, b, c)
tvm.testing.assert_allclose(c.asnumpy(), a.asnumpy(
altanh commented on pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#issuecomment-806077018
@comaniac @mbrookhart I've merged them and updated the unit tests
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csullivan commented on issue #7730:
URL: https://github.com/apache/tvm/issues/7730#issuecomment-806073946
Reasonable and doable for the short term. The downside being that it only
fixes the problem for one target at a time. We would also need to add broadcast
support to RocBLAS and CBLAS/M
AndrewZhaoLuo commented on pull request #7722:
URL: https://github.com/apache/tvm/pull/7722#issuecomment-806073342
@masahi PTAL. I've implemented all your suggested changes.
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areusch commented on pull request #7557:
URL: https://github.com/apache/tvm/pull/7557#issuecomment-806070247
@mdw-octoml please retrigger this against the CI, it should now be possible
to make it pass as ci-qemu has the onnx package.
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comaniac commented on issue #7730:
URL: https://github.com/apache/tvm/issues/7730#issuecomment-806069140
Another direction I can think of is adding the broadcast support in CuBLAS
batch_matmul so that we could have a unified behavior of batch_matmul op in
Relay, and we don't need to change
areusch commented on a change in pull request #7653:
URL: https://github.com/apache/tvm/pull/7653#discussion_r600763358
##
File path:
apps/android_deploy/app/src/main/java/org/apache/tvm/android/demo/MainActivity.java
##
@@ -224,108 +224,115 @@ protected void onPostExecute(Int
areusch commented on pull request #7733:
URL: https://github.com/apache/tvm/pull/7733#issuecomment-806059563
thanks @rafzi, this change looks good to me. can you retrigger the CI by
adding an empty commit? looks like it got stuck on task_rust.
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areusch pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 63d8e97 [µTVM] Rev ci-qemu to 0.02 (Introduce onnx python dependency)
(#7728)
add cfe2e28 [crt] fix heap corrupti
areusch merged pull request #7735:
URL: https://github.com/apache/tvm/pull/7735
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csullivan edited a comment on issue #7730:
URL: https://github.com/apache/tvm/issues/7730#issuecomment-806052775
Thanks @comaniac @masahi. Yes the problem is that different targets, and
target specific topi implementations, can support different optimizations. In
the case of using the blas
csullivan commented on issue #7730:
URL: https://github.com/apache/tvm/issues/7730#issuecomment-806052775
Thanks @comaniac @masahi. Yes the problem is that different targets, and
target specific topi implementations, can support different optimizations. In
the case of using the blas librar
michalpiszczek opened a new pull request #7738:
URL: https://github.com/apache/tvm/pull/7738
This block in `measure_methods.py` intended to capture CUDA errors caused by
invalid kernels generated during AutoTuning:
```Python
except TVMError as exc:
msg = str(exc)
mbrookhart commented on pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#issuecomment-806029284
Yeah, as long as we aren't commonly manifesting full sized arrays of zero or
one, that should be fine. Given the full/zeros/ones ops and their like
counterparts, plus auto-broadc
cnv1989 commented on a change in pull request #7653:
URL: https://github.com/apache/tvm/pull/7653#discussion_r600716290
##
File path:
apps/android_deploy/app/src/main/java/org/apache/tvm/android/demo/MainActivity.java
##
@@ -224,108 +224,115 @@ protected void onPostExecute(Int
altanh commented on pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#issuecomment-806028276
Ah, well looks like this might only make sense for constants that only have
one element, unless we want to loop over every single element and check that it
is equal to 0 or 1. But if
cnv1989 commented on a change in pull request #7653:
URL: https://github.com/apache/tvm/pull/7653#discussion_r600716290
##
File path:
apps/android_deploy/app/src/main/java/org/apache/tvm/android/demo/MainActivity.java
##
@@ -224,108 +224,115 @@ protected void onPostExecute(Int
hogepodge commented on a change in pull request #7642:
URL: https://github.com/apache/tvm/pull/7642#discussion_r600710517
##
File path: tutorials/get_started/tensor_expr_get_started.py
##
@@ -255,41 +340,39 @@
fadd1(a, b, c)
tvm.testing.assert_allclose(c.asnumpy(), a.asnumpy(
altanh commented on pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#issuecomment-806019388
> I think I agree that merging these with SimplifyExpr would be a win in
terms of our ability to control the order of execution.
>
> On the simplification of things like `x * c
mbrookhart commented on pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#issuecomment-806018953
It looks like you have a windows build issue?
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mbrookhart commented on pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#issuecomment-806017937
I think I agree that merging these with SimplifyExpr would be a win in terms
of our ability to control the order of execution.
On the simplification of things like `x * con
comaniac commented on pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#issuecomment-806008203
If the purpose is just for testing, then I'll prefer to have them in a
single pass. You can still test the pattern one-by-one as SimplifyExpr does
now. Since the unrelated patterns
altanh commented on pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#issuecomment-806004438
> Overall LGTM. Meanwhile I have some questions about the design:
>
> 1. It seems to me that ConcretizeLike and EliminateIdentity can also
be merged to SImplifyExpr in term
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moreau pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 1fe0abc [TVMC] Python Scripting Init Files (#7698)
add 63d8e97 [µTVM] Rev ci-qemu to 0.02 (Introduce onnx python de
tmoreau89 commented on pull request #7728:
URL: https://github.com/apache/tvm/pull/7728#issuecomment-806002893
Thanks @mdw-octoml @areusch the PR has been merged
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tmoreau89 merged pull request #7728:
URL: https://github.com/apache/tvm/pull/7728
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altanh commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600683869
##
File path: src/relay/transforms/simplify_expr.cc
##
@@ -22,44 +22,37 @@
* \brief A pass for simplifying the Relay expression.
*/
+#include "simplify_e
areusch commented on a change in pull request #7728:
URL: https://github.com/apache/tvm/pull/7728#discussion_r600683088
##
File path: docker/Dockerfile.ci_qemu
##
@@ -64,3 +64,7 @@ RUN bash /install/ubuntu_install_qemu.sh
COPY install/ubuntu_install_zephyr.sh /install/ubuntu_i
comaniac commented on pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#issuecomment-805995681
Also cc @mbrookhart
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comaniac commented on a change in pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#discussion_r600673972
##
File path: src/relay/transforms/concretize_like.cc
##
@@ -0,0 +1,182 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more con
tqchen commented on pull request #7731:
URL: https://github.com/apache/tvm/pull/7731#issuecomment-805976301
cc @comaniac @yzhliu please help to review this PR
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comaniac commented on issue #7732:
URL: https://github.com/apache/tvm/issues/7732#issuecomment-805973967
How many trials did you try and how did you apply the schedule from the log
file? It's possible for auto-scheduler to generate invalid kernels during the
tuning, but they shouldn't be p
jwfromm commented on pull request #7698:
URL: https://github.com/apache/tvm/pull/7698#issuecomment-805949425
Thanks @CircleSpin @leandron and @comaniac. This is now merged.
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Hzfengsy opened a new pull request #7737:
URL: https://github.com/apache/tvm/pull/7737
This PR will fix the Script parser autocompletion mode and add checks for
opaque blocks (which is not allowed now)
Co-authored-by: Ruihang Lai
cc @tqchen @junrushao1994
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jwfromm pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 8131364 [ONNX] Onnx node tests (#7720)
add 1fe0abc [TVMC] Python Scripting Init Files (#7698)
No new revisions we
jwfromm merged pull request #7698:
URL: https://github.com/apache/tvm/pull/7698
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euntaik opened a new pull request #7736:
URL: https://github.com/apache/tvm/pull/7736
add float16 quant support for fc and transpose_conv
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rafzi opened a new pull request #7735:
URL: https://github.com/apache/tvm/pull/7735
The type of runtime->storage_pool was changed at some point from TVMNDArray
to TVMGraphRuntimeStorageEntry. This change was not reflected in the call to
the allocation for its buffer. If this unclaimed spac
Wheest commented on pull request #6137:
URL: https://github.com/apache/tvm/pull/6137#issuecomment-805772836
> @Wheest Seems you have wrong rebase. please refer this documentation :
https://tvm.apache.org/docs/contribute/git_howto.html
Believe I have fixed the rebase/commit problems,
majercakdavid opened a new issue #7734:
URL: https://github.com/apache/tvm/issues/7734
I would like to report a problem with the JS runtime. Currently when being
run the instantiation of tvm run smoothly, not resulting in any error:
```
try {
this.tvm = await tvmjs.instantiate(
wxyhv commented on issue #4118:
URL: https://github.com/apache/tvm/issues/4118#issuecomment-805659240
Dose any progress in dynamic input shape inference? I am expecting it
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zhuwenxi commented on pull request #7619:
URL: https://github.com/apache/tvm/pull/7619#issuecomment-805634130
@tqchen Please take a look at my latest commit if you have time, thank you.
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jroesch edited a comment on pull request #7518:
URL: https://github.com/apache/tvm/pull/7518#issuecomment-805600377
cc @mbaret
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jroesch commented on pull request #7518:
URL: https://github.com/apache/tvm/pull/7518#issuecomment-805600377
cc @MatthewARM
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jroesch commented on pull request #7518:
URL: https://github.com/apache/tvm/pull/7518#issuecomment-805594912
Modulo some left over polish work and documentation I think this is ready
for review @icemelon9 @comaniac @csullivan @tkonolige @rkimball @junrushao1994
@areusch @mehrdadh
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jroesch commented on pull request #7518:
URL: https://github.com/apache/tvm/pull/7518#issuecomment-805594042
Need to port fix from #7703 but otherwise ready for review.
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rafzi opened a new pull request #7733:
URL: https://github.com/apache/tvm/pull/7733
When running with "-fsanitize=undefined" I got the following error:
tvm/src/runtime/crt/common/crt_runtime_api.c:213:32: runtime error: left
shift of 32770 by 16 places cannot be represented in ty
xiebaiyuan commented on issue #7705:
URL: https://github.com/apache/tvm/issues/7705#issuecomment-805570369
config.log
>
This file contains any messages produced by compilers while
running configure, to aid debugging if configure makes a mistake.
It was created by
xiebaiyuan commented on issue #7705:
URL: https://github.com/apache/tvm/issues/7705#issuecomment-805563728
@tkonolige
https://github.com/tkonolige/incubator-tvm/tree/fix_libbacktrace_macos
USE_LIBBACKTRACE=On
➜ build git:(fix_libbacktrace_macos) cmake ..
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