delldu commented on a change in pull request #8443:
URL: https://github.com/apache/tvm/pull/8443#discussion_r669321288
##
File path: tests/python/frontend/pytorch/test_forward.py
##
@@ -3912,6 +3912,109 @@ def forward(self, x):
verify_model(Flip(axis=-1), input_data=input)
masahi commented on pull request #8443:
URL: https://github.com/apache/tvm/pull/8443#issuecomment-879608301
@delldu I don't see a need to support scripting for these ops, so can you
simplify this PR? You don't need to test with `verify_script_model`.
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masahi commented on a change in pull request #8443:
URL: https://github.com/apache/tvm/pull/8443#discussion_r669303917
##
File path: python/tvm/relay/frontend/pytorch.py
##
@@ -1875,7 +1875,9 @@ def Bool(self, inputs, input_types):
def Float(self, inputs, input_types):
masahi commented on a change in pull request #8443:
URL: https://github.com/apache/tvm/pull/8443#discussion_r669301896
##
File path: tests/python/frontend/pytorch/test_forward.py
##
@@ -3912,6 +3912,109 @@ def forward(self, x):
verify_model(Flip(axis=-1), input_data=input)
masahi commented on a change in pull request #8443:
URL: https://github.com/apache/tvm/pull/8443#discussion_r669301896
##
File path: tests/python/frontend/pytorch/test_forward.py
##
@@ -3912,6 +3912,109 @@ def forward(self, x):
verify_model(Flip(axis=-1), input_data=input)
masahi commented on a change in pull request #8443:
URL: https://github.com/apache/tvm/pull/8443#discussion_r669301896
##
File path: tests/python/frontend/pytorch/test_forward.py
##
@@ -3912,6 +3912,109 @@ def forward(self, x):
verify_model(Flip(axis=-1), input_data=input)
masahi opened a new pull request #8466:
URL: https://github.com/apache/tvm/pull/8466
Only one allocation is allowed for now.
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comaniac commented on pull request #8457:
URL: https://github.com/apache/tvm/pull/8457#issuecomment-879500795
Thanks @vinx13 @jcf94
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comaniac 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 5c1a1cf [CUDA] Improve injective schedule to enable
comaniac merged pull request #8457:
URL: https://github.com/apache/tvm/pull/8457
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comaniac commented on a change in pull request #8464:
URL: https://github.com/apache/tvm/pull/8464#discussion_r669175601
##
File path: src/relay/transforms/partition_graph.cc
##
@@ -116,9 +116,11 @@ class Partitioner : public MixedModeMutator {
for (auto f : module->functi
zxy844288792 commented on a change in pull request #8464:
URL: https://github.com/apache/tvm/pull/8464#discussion_r669168791
##
File path: src/relay/transforms/partition_graph.cc
##
@@ -301,7 +302,7 @@ class Partitioner : public MixedModeMutator {
}
std::string targ
zxy844288792 commented on a change in pull request #8464:
URL: https://github.com/apache/tvm/pull/8464#discussion_r669168686
##
File path: src/relay/analysis/annotated_region_set.cc
##
@@ -76,17 +76,21 @@ void AnnotatedRegionSetNode::AddToRegion(AnnotatedRegion
dest, const Exp
YuchenJin opened a new pull request #8465:
URL: https://github.com/apache/tvm/pull/8465
`lowered_funcs_` is unused after the compile engine refactoring.
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AndrewZhaoLuo commented on a change in pull request #8456:
URL: https://github.com/apache/tvm/pull/8456#discussion_r669158458
##
File path: python/tvm/relay/frontend/onnx.py
##
@@ -3193,6 +3196,79 @@ def get_scalar(x, dtype="float32"):
return _qnn.op.quantize(out, c_sc
AndrewZhaoLuo commented on a change in pull request #8456:
URL: https://github.com/apache/tvm/pull/8456#discussion_r669158458
##
File path: python/tvm/relay/frontend/onnx.py
##
@@ -3193,6 +3196,79 @@ def get_scalar(x, dtype="float32"):
return _qnn.op.quantize(out, c_sc
comaniac commented on a change in pull request #8464:
URL: https://github.com/apache/tvm/pull/8464#discussion_r669156343
##
File path: src/relay/analysis/annotated_region_set.cc
##
@@ -76,17 +76,21 @@ void AnnotatedRegionSetNode::AddToRegion(AnnotatedRegion
dest, const Expr& e
zxy844288792 commented on a change in pull request #8464:
URL: https://github.com/apache/tvm/pull/8464#discussion_r669155020
##
File path: src/relay/analysis/annotated_region_set.cc
##
@@ -213,12 +217,19 @@ class AnnotatedRegionSet::Creator : protected
MixedModeVisitor {
co
zxy844288792 commented on a change in pull request #8464:
URL: https://github.com/apache/tvm/pull/8464#discussion_r669154906
##
File path: src/relay/transforms/partition_graph.cc
##
@@ -301,7 +302,7 @@ class Partitioner : public MixedModeMutator {
}
std::string targ
schilkunda-amba commented on pull request #8455:
URL: https://github.com/apache/tvm/pull/8455#issuecomment-879449950
> Interesting. We run this onnx file in CI and make sure it imports
correctly:
https://github.com/onnx/onnx/blob/v1.6.0/onnx/backend/test/data/node/test_resize_upsample_size
zxy844288792 commented on a change in pull request #8464:
URL: https://github.com/apache/tvm/pull/8464#discussion_r669153705
##
File path: src/relay/analysis/annotated_region_set.cc
##
@@ -76,17 +76,21 @@ void AnnotatedRegionSetNode::AddToRegion(AnnotatedRegion
dest, const Exp
mbrookhart commented on pull request #8455:
URL: https://github.com/apache/tvm/pull/8455#issuecomment-879445759
Interesting. We run this onnx file in CI and make sure it imports correctly:
https://github.com/onnx/onnx/blob/v1.6.0/onnx/backend/test/data/node/test_resize_upsample_sizes_neares
comaniac commented on a change in pull request #8464:
URL: https://github.com/apache/tvm/pull/8464#discussion_r669130328
##
File path: src/relay/analysis/annotated_region_set.cc
##
@@ -213,12 +217,19 @@ class AnnotatedRegionSet::Creator : protected
MixedModeVisitor {
const
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masahi pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 1a26733 [Refactor] Enforce attaching storage scope to PointerType
(#8366)
add 73b38e8 [Fix] Explicitly retain `__h
masahi merged pull request #8449:
URL: https://github.com/apache/tvm/pull/8449
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zxy844288792 opened a new pull request #8464:
URL: https://github.com/apache/tvm/pull/8464
If a module contains multiple functions, the partition pass fail with this
kind of message: ```Check failed: (!module_->ContainGlobalVar(fname)) is false:
Global function ccompiler_0 already exists``
schilkunda-amba commented on pull request #8455:
URL: https://github.com/apache/tvm/pull/8455#issuecomment-879414215
> This looks fine to me. I am curious what the use case for this pass is :)
@mbrookhart Here is the PR for this:
https://discuss.tvm.apache.org/t/rfc-relay-to-onnx/610
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mbrookhart pushed a change to branch ci-docker-staging
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 7f5a959 next try at docker images
add 38b3165 manage TF memory use in TF1 tests
No new revisions
zxy844288792 commented on pull request #8454:
URL: https://github.com/apache/tvm/pull/8454#issuecomment-879400436
@kevinthesun @yongwww @zhiics @trevor-m @masahi
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masahi opened a new pull request #8463:
URL: https://github.com/apache/tvm/pull/8463
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masahi commented on pull request #8447:
URL: https://github.com/apache/tvm/pull/8447#issuecomment-879375131
@vvchernov Both failures look new to me, they can be flaky tests. Can you
try running CI again (rebase and push)?
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vinx13 commented on pull request #8366:
URL: https://github.com/apache/tvm/pull/8366#issuecomment-879346109
Thanks @masahi @kparzysz-quic @csullivan @tqchen this is merged
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wuwei pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from f62917e [TOPI] Add support for arbitrary dtypes to CSRMV and CSRMM
(#8437)
add 1a26733 [Refactor] Enforce attaching
vinx13 merged pull request #8366:
URL: https://github.com/apache/tvm/pull/8366
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areusch pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 136f218 [Relay][ONNX] Batch_matmul to dense optimization (#8440)
add f62917e [TOPI] Add support for arbitrary dtyp
areusch merged pull request #8437:
URL: https://github.com/apache/tvm/pull/8437
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areusch closed issue #8406:
URL: https://github.com/apache/tvm/issues/8406
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vvchernov commented on pull request #8447:
URL: https://github.com/apache/tvm/pull/8447#issuecomment-879329631
@masahi @jwfromm Hello guys, I have fixed all issues related to lint and
resolved merge conflicts, but tvm-ci failed. After that I chose main with
success status in jenkins (this
Lunderberg opened a new pull request #8462:
URL: https://github.com/apache/tvm/pull/8462
- Marked tests as @requires_cudnn to avoid failure on platforms without
cudnn.
- Replaced target "vulkan" with "vulkan -from_device=0"
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schilkunda-amba commented on a change in pull request #8455:
URL: https://github.com/apache/tvm/pull/8455#discussion_r669026935
##
File path: tests/python/contrib/test_onnx.py
##
@@ -655,6 +655,26 @@ def verify_cast(dshape, dtype):
verify_cast(i, o_dtype)
+def
schilkunda-amba commented on a change in pull request #8455:
URL: https://github.com/apache/tvm/pull/8455#discussion_r669026790
##
File path: python/tvm/contrib/target/onnx.py
##
@@ -662,6 +662,86 @@ def convert_attributes(cls, attrs):
return {"to": getattr(TensorProto
trevor-m opened a new pull request #8461:
URL: https://github.com/apache/tvm/pull/8461
Fixes error for subgraphs with dynamic batch size when
use_implicit_batch=False. Added test case.
Also fixes deserialization of cached engine when batch size is not 1.
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comaniac commented on pull request #8455:
URL: https://github.com/apache/tvm/pull/8455#issuecomment-879315407
@mbrookhart could you help take a look if you got a chance?
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schilkunda-amba commented on pull request #8455:
URL: https://github.com/apache/tvm/pull/8455#issuecomment-879314253
@comaniac @trevor-m
I have made the changes (catch error using else and updating the test for
coord trans and rounding method). I see that it the conversion fails (as in
schilkunda-amba commented on pull request #8455:
URL: https://github.com/apache/tvm/pull/8455#issuecomment-879312115
> Can we also support resize in other dimensions?
Sure, I will look into it.
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areusch commented on issue #8177:
URL: https://github.com/apache/tvm/issues/8177#issuecomment-879295272
It may have that, I think there are 2 executors per GPU node.
On Tue, Jul 13, 2021 at 10:52 AM Leandro Nunes ***@***.***>
wrote:
> I don't see any excessive memory use whe
comaniac commented on pull request #8440:
URL: https://github.com/apache/tvm/pull/8440#issuecomment-879294697
Thanks @ymwangg
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comaniac pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from d67514b [PROFILING] Use PAPI to collect hardware performance counters
on CPU and CUDA (#7983)
add 136f218 [Relay
comaniac merged pull request #8440:
URL: https://github.com/apache/tvm/pull/8440
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jwfromm commented on a change in pull request #8456:
URL: https://github.com/apache/tvm/pull/8456#discussion_r668992231
##
File path: python/tvm/relay/frontend/onnx.py
##
@@ -3193,6 +3196,79 @@ def get_scalar(x, dtype="float32"):
return _qnn.op.quantize(out, c_scale, c
AndrewZhaoLuo opened a new pull request #8460:
URL: https://github.com/apache/tvm/pull/8460
This will make it so when we do `from tvm.relay.transform import
ToMixedPrecision` we will also by default import the default op attributes for
the pass. This will hopefully avoid people suffering f
leandron edited a comment on issue #8177:
URL: https://github.com/apache/tvm/issues/8177#issuecomment-879284196
> I don't see any excessive memory use when I put the test on a loop locally
or run the full tensorflow test suite locally with this version of TF...
Does Jenkins has more
leandron commented on issue #8177:
URL: https://github.com/apache/tvm/issues/8177#issuecomment-879284196
> I don't see any excessive memory use when I put the test on a loop locally
or run the full tensorflow test suite locally with this version of TF...
Does Jenkins has more than on
AndrewZhaoLuo commented on a change in pull request #8456:
URL: https://github.com/apache/tvm/pull/8456#discussion_r668979372
##
File path: python/tvm/relay/frontend/onnx.py
##
@@ -3193,6 +3196,79 @@ def get_scalar(x, dtype="float32"):
return _qnn.op.quantize(out, c_sc
areusch commented on a change in pull request #8451:
URL: https://github.com/apache/tvm/pull/8451#discussion_r668949357
##
File path: python/tvm/testing.py
##
@@ -1160,6 +1162,43 @@ def wraps(func):
return wraps(func)
+class _DeepCopyAllowedClasses(dict):
+def __in
AndrewZhaoLuo commented on issue #8296:
URL: https://github.com/apache/tvm/issues/8296#issuecomment-879273695
cc @Lunderberg
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areusch pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 957cc12 [Relay] Modify create_executor to pass params (#8418)
add d67514b [PROFILING] Use PAPI to collect hardware
areusch merged pull request #7983:
URL: https://github.com/apache/tvm/pull/7983
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jwfromm commented on pull request #8456:
URL: https://github.com/apache/tvm/pull/8456#issuecomment-879240885
@mbrookhart that makes sense, I've removed all changes to convtranspose from
this PR.
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comaniac commented on pull request #8457:
URL: https://github.com/apache/tvm/pull/8457#issuecomment-879236252
> Thanks!
> I'm thinking that if loop partition can solve this problem? @comaniac
@junrushao1994
> For example, with a dimension of 301, partition it to a 300 loop and a
sing
mbrookhart commented on pull request #8456:
URL: https://github.com/apache/tvm/pull/8456#issuecomment-879214900
I'm having trouble getting the docker images in CI updated due to a TF
update.
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mbrookhart commented on pull request #8456:
URL: https://github.com/apache/tvm/pull/8456#issuecomment-879214643
@jwfromm I have some of the same changes for conv_transpose in #8304 .
Unfortunately, the version of onnxrutnime in CI doesn't support this properly,
so we need to wait until we
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ziheng pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 80f48c7 [microTVM] Fix Stack Size Issue for Zephyr AOT Demo on
Physical Hardware (#8453)
add 957cc12 [Relay] Modif
ZihengJiang merged pull request #8418:
URL: https://github.com/apache/tvm/pull/8418
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ZihengJiang commented on pull request #8418:
URL: https://github.com/apache/tvm/pull/8418#issuecomment-879210310
Merged now. Thanks @mikepapadim
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Lunderberg opened a new pull request #8459:
URL: https://github.com/apache/tvm/pull/8459
Incorrectly specified "MAKE_SHARED_LIBS" option instead of
"BUILD_SHARED_LIBS". In future, perhaps googletest should be pulled into
3rdparty submodules to minimize the setup of a dev environment.
--
leandron commented on pull request #8453:
URL: https://github.com/apache/tvm/pull/8453#issuecomment-878948703
This is now merged, thanks @mehrdadh @Mousius @areusch!
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leandron pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from 807373c Add qnn batch_matmul operator (#8401)
add 80f48c7 [microTVM] Fix Stack Size Issue for Zephyr AOT Demo on
leandron merged pull request #8453:
URL: https://github.com/apache/tvm/pull/8453
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delldu commented on a change in pull request #8443:
URL: https://github.com/apache/tvm/pull/8443#discussion_r668549131
##
File path: tests/python/frontend/pytorch/test_forward.py
##
@@ -3912,6 +3912,109 @@ def forward(self, x):
verify_model(Flip(axis=-1), input_data=input)
wyc-ruiker commented on a change in pull request #8443:
URL: https://github.com/apache/tvm/pull/8443#discussion_r668572817
##
File path: tests/python/frontend/pytorch/test_forward.py
##
@@ -3912,6 +3912,109 @@ def forward(self, x):
verify_model(Flip(axis=-1), input_data=in
delldu commented on a change in pull request #8443:
URL: https://github.com/apache/tvm/pull/8443#discussion_r668549131
##
File path: tests/python/frontend/pytorch/test_forward.py
##
@@ -3912,6 +3912,109 @@ def forward(self, x):
verify_model(Flip(axis=-1), input_data=input)
mikepapadim commented on a change in pull request #8418:
URL: https://github.com/apache/tvm/pull/8418#discussion_r668544863
##
File path: python/tvm/relay/build_module.py
##
@@ -555,6 +559,9 @@ def create_executor(kind="debug", mod=None, device=None,
target="llvm"):
else:
junrushao1994 commented on pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#issuecomment-878885449
@areusch Thank you sooo much for reviewing this RFC! I really appreciate it
that you went over the text very carefully and provided very helpful
suggestions! Just finished a pa
junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668540347
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668525299
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668524060
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668518322
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668514392
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668508988
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668506959
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668383535
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668502241
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668500696
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+* Feature Name: Meta Schedule (AutoTensorIR)
+* Start Date: 2021-05-28
+* RFC
junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668494320
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668494320
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668494320
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Hzfengsy commented on pull request #8458:
URL: https://github.com/apache/tvm/pull/8458#issuecomment-878841268
Please check the printer and add a simple testcase in
`test_tvmscript_round_trip.py`
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This is an automated message from the Apache Git Service.
To respond to the message, pleas
UniverseFly commented on a change in pull request #8449:
URL: https://github.com/apache/tvm/pull/8449#discussion_r668491558
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junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668491013
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Beya2019 opened a new pull request #8458:
URL: https://github.com/apache/tvm/pull/8458
Tvm script lacks tir.min node, we can use it like below
with tir.block([128, 128], "") as [vi, vj]:
A[vi, vj] = tir.ceil(2.5)
The result:
with tir.block([128, 12
junrushao1994 commented on a change in pull request #5:
URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668482353
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