junrushao1994 commented on a change in pull request #5740:
URL: https://github.com/apache/incubator-tvm/pull/5740#discussion_r437933974
##
File path: include/tvm/runtime/container.h
##
@@ -1554,6 +1593,954 @@ struct PackedFuncValueConverter> {
}
};
+/*! \brief map node co
t-vi opened a new pull request #5763:
URL: https://github.com/apache/incubator-tvm/pull/5763
Previously, the PyTorch frontend approximated gelu with fastgelu.
To provide a more faithful conversion, we implement gelu instead.
We also tighten the numerical comparisons between PyTorch
t-vi commented on pull request #5763:
URL: https://github.com/apache/incubator-tvm/pull/5763#issuecomment-641822467
@masahi this is from
https://discuss.tvm.ai/t/aspirations-for-conversion-and-unit-tests-in-the-pytorch-frontend/6922
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jroesch pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git
The following commit(s) were added to refs/heads/master by this push:
new 60cfb79 [Rust] Second stage of Rust Ref
jroesch merged pull request #5527:
URL: https://github.com/apache/incubator-tvm/pull/5527
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t-vi commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-641871727
Seems the build failure was mostly the CI. :slightly_smiling_face:
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t-vi commented on a change in pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#discussion_r437984049
##
File path: python/tvm/relay/expr.py
##
@@ -487,6 +487,8 @@ def const(value, dtype=None):
- bool maps to "bool"
- other using the same defa
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jroesch pushed a commit to branch rust-tvm
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git
commit fcdfffa2adfce22244ed19d3234060d7f4968147
Author: Jared Roesch
AuthorDate: Wed Jun 10 02:29:39 2020 -0700
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jroesch pushed a commit to branch rust-tvm
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git
commit 43325abcdf9b1aa8d405a9769aa43dc12f66112d
Author: Jared Roesch
AuthorDate: Wed Jun 10 02:30:10 2020 -0700
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jroesch pushed a change to branch rust-tvm
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
discard caa6904 All tests pass
discard 0c55c39 Finish removing anyhow and work with new external! macro
discard
jroesch opened a new pull request #5764:
URL: https://github.com/apache/incubator-tvm/pull/5764
Currently WIP this adds compiler bindings to the TVM Rust bindings.
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t-vi commented on a change in pull request #5752:
URL: https://github.com/apache/incubator-tvm/pull/5752#discussion_r437993129
##
File path: topi/python/topi/cuda/batch_matmul.py
##
@@ -51,55 +62,73 @@ def _schedule(op):
C = s.outputs[0].output(0)
b, y,
t-vi commented on a change in pull request #5752:
URL: https://github.com/apache/incubator-tvm/pull/5752#discussion_r437993129
##
File path: topi/python/topi/cuda/batch_matmul.py
##
@@ -51,55 +62,73 @@ def _schedule(op):
C = s.outputs[0].output(0)
b, y,
liangfu commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r437896159
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contribu
lixiaoquan commented on pull request #5757:
URL: https://github.com/apache/incubator-tvm/pull/5757#issuecomment-641943041
Is it possbile to happen in other passes? I run into a stack overflow in
WellFormChecker, and it keeps visiting LetNode. Not sure whether it is the same
issue.
--
AlexeyAB opened a new issue #5765:
URL: https://github.com/apache/incubator-tvm/issues/5765
Feature-request: State-of-art **Yolo v4** Detector
* paper: https://arxiv.org/abs/2004.10934
* source code: https://github.com/AlexeyAB/darknet
* cfg-file Yolov4:
https://github.com/Alex
mbaret commented on pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#issuecomment-642072780
cc @mbrookhart @comaniac
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mbaret opened a new pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766
If InferType isn't run between partitioning passes, function calls are
inserted which don't have a type. This can result in failures for patterns
which want to check types.
This works arou
siju-samuel commented on issue #5765:
URL: https://github.com/apache/incubator-tvm/issues/5765#issuecomment-642084669
@AlexeyAB Thanks for the YoloV4 paper. the output is impressive.
Few weeks back I already tried integrating this to tvm. In tvm we use
`network *load_network(char *cfg
siju-samuel edited a comment on issue #5765:
URL: https://github.com/apache/incubator-tvm/issues/5765#issuecomment-642084669
@AlexeyAB Thanks for the YoloV4 paper. the output is impressive.
Few weeks back I already tried integrating this to tvm. In tvm we use
`network *load_network(ch
tqchen commented on a change in pull request #5740:
URL: https://github.com/apache/incubator-tvm/pull/5740#discussion_r438213646
##
File path: include/tvm/runtime/container.h
##
@@ -1554,6 +1604,925 @@ struct PackedFuncValueConverter> {
}
};
+/*! \brief map node content *
siju-samuel opened a new pull request #5767:
URL: https://github.com/apache/incubator-tvm/pull/5767
Sparse2Dense support added to tf frontend.
@masahi @srkreddy1238 Please help to review and merge this PR. TIA
This is
mbrookhart commented on pull request #5760:
URL: https://github.com/apache/incubator-tvm/pull/5760#issuecomment-642092107
@jroesch The problem comes in handling the matcher in the backend. Since
Types belong to a lower level than the pattern language, we can't really embed
something like a
abergeron commented on pull request #5758:
URL: https://github.com/apache/incubator-tvm/pull/5758#issuecomment-642101273
I've confirmed manually that with the tophub changes the vta tests pass.
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AlexeyAB commented on issue #5765:
URL: https://github.com/apache/incubator-tvm/issues/5765#issuecomment-642102804
@siju-samuel Try to use `network *load_network_custom(char *cfg, char
*weights, int clear, int batch)`
And set `batch=1`.
-
siju-samuel commented on issue #5765:
URL: https://github.com/apache/incubator-tvm/issues/5765#issuecomment-642114545
@AlexeyAB `load_network_custom` with `batch=1` memory is ok. I will do the
rest. I think the `load_network` api is allocating memory for training as
well. Thanks.
-
tqchen commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642115243
Previously we use this approach. Personally I was in favor of default to
fp32.
However, one reason for us to convert to the current way is to just make
sure that we
tqchen edited a comment on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642115243
Previously we use this approach. Personally I was in favor of default to
fp32.
However, one reason for us to convert to the current way is to just make
sure
mbrookhart commented on a change in pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#discussion_r438258138
##
File path: tests/python/relay/test_pass_merge_composite.py
##
@@ -953,26 +985,28 @@ def _check_type_false(extract):
return bool(typ.s
mbaret commented on a change in pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#discussion_r438261289
##
File path: tests/python/relay/test_pass_merge_composite.py
##
@@ -953,26 +985,28 @@ def _check_type_false(extract):
return bool(typ.shape
comaniac commented on a change in pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#discussion_r438263324
##
File path: python/tvm/relay/expr.py
##
@@ -487,6 +487,8 @@ def const(value, dtype=None):
- bool maps to "bool"
- other using the same
seanlatias opened a new pull request #5768:
URL: https://github.com/apache/incubator-tvm/pull/5768
With the existing calibration pass, it only returns the module that is built
from the main function. However, the input can have more than one functions
(e.g., after using BYOC). This PR prov
t-vi commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642134657
@tqchen The thing I'm finding awkward to use is
```
tvm.relay.expr.const(1, dtype="float").data.dtype
t-vi edited a comment on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642134657
@tqchen The thing I'm finding awkward to use is
```python
>>> tvm.relay.expr.const(1, dtype="float").data.dtype
t-vi edited a comment on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642134657
@tqchen The thing I'm finding awkward to use is
```python
>>> tvm.relay.expr.const(1, dtype="float").data.dtype
areusch commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438270610
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contribu
t-vi edited a comment on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642134657
@tqchen The thing I'm finding awkward to use is
```python
>>> tvm.relay.expr.const(1, dtype="float").data.dtype
vinx13 merged pull request #5746:
URL: https://github.com/apache/incubator-tvm/pull/5746
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wuwei pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git
The following commit(s) were added to refs/heads/master by this push:
new ed58309 [topi] block sparse dense on cuda
vinx13 commented on pull request #5746:
URL: https://github.com/apache/incubator-tvm/pull/5746#issuecomment-642142044
thanks @ceruleangu @antinucleon @junrushao1994
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icemelon9 commented on pull request #5600:
URL: https://github.com/apache/incubator-tvm/pull/5600#issuecomment-642150126
That's great. I'll take a look at it.
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kevinthesun commented on a change in pull request #5762:
URL: https://github.com/apache/incubator-tvm/pull/5762#discussion_r438299882
##
File path: python/tvm/relay/frontend/tensorflow.py
##
@@ -1352,12 +1352,17 @@ def _impl(inputs, attr, params, mod):
# Output shape m
mwillsey commented on a change in pull request #5764:
URL: https://github.com/apache/incubator-tvm/pull/5764#discussion_r438302423
##
File path: rust/runtime/tests/test_wasm32/Cargo.toml
##
@@ -22,5 +22,6 @@ license = "Apache-2.0"
authors = ["TVM Contributors"]
[dependencie
tqchen commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642170343
Aha, that is definitely interesting. It is still worth to have a discussion
about the numpy compatibility vs favors common deep learning land. That could
leads to the pos
mbrookhart commented on pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#issuecomment-642173517
@comaniac Match won't traverse the input expression, it will only compare
the function to the exact expression you give. Partition and Rewrite, however,
traverse the in
zhiics commented on a change in pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#discussion_r438322794
##
File path: src/relay/transforms/merge_composite.cc
##
@@ -36,17 +36,24 @@ namespace tvm {
namespace relay {
namespace merge_composite {
+Funct
mbaret commented on a change in pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#discussion_r438334823
##
File path: src/relay/transforms/merge_composite.cc
##
@@ -36,17 +36,24 @@ namespace tvm {
namespace relay {
namespace merge_composite {
+Funct
jroesch commented on a change in pull request #5764:
URL: https://github.com/apache/incubator-tvm/pull/5764#discussion_r438348392
##
File path: rust/tvm/src/ir/array.rs
##
@@ -0,0 +1,74 @@
+use std::convert::TryFrom;
+use std::marker::PhantomData;
+
+use crate::runtime::object:
junrushao1994 commented on pull request #5748:
URL: https://github.com/apache/incubator-tvm/pull/5748#issuecomment-642203863
Do we have conclusions yet on what the best way is to support not-null with
composite objects?
This
mbrookhart commented on a change in pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#discussion_r438355902
##
File path: src/relay/transforms/merge_composite.cc
##
@@ -36,17 +36,24 @@ namespace tvm {
namespace relay {
namespace merge_composite {
+F
notoraptor commented on pull request #5716:
URL: https://github.com/apache/incubator-tvm/pull/5716#issuecomment-642209115
Rebased to fix conflicts. @tqchen PR is approved by @abergeron !
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tqchen commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642218720
How about we first fix the usage of "float" throughout the codebase, then we
can send a PR to warn about "float" as dtype in the parser.
-
t-vi closed pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756
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t-vi commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-64584
I'll probably send fixes for the PyTorch frontend, I don't think I'm
qualified to fix it throughout the codebase, though.
---
t-vi edited a comment on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-64584
I'll probably send fixes for the PyTorch frontend, I don't think I'm
qualified to fix it throughout the codebase, though.
I might say that I have the feeling tha
tqchen commented on pull request #5748:
URL: https://github.com/apache/incubator-tvm/pull/5748#issuecomment-642226324
@junrushao1994 I will try to send a proposal around UnsafeNull
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jroesch commented on pull request #5764:
URL: https://github.com/apache/incubator-tvm/pull/5764#issuecomment-642226801
I made a mistake with remotes, going to reopn.
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jroesch opened a new pull request #5769:
URL: https://github.com/apache/incubator-tvm/pull/5769
See #5764 I made a mistake with the remotes.
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jroesch closed pull request #5764:
URL: https://github.com/apache/incubator-tvm/pull/5764
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tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438382565
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contrib
tqchen commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642241286
Thanks @t-vi I do not disagree, that is why we felt perhaps we should go
with float in the first place, how about also open a dicussion thread about
this topic?
-
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438405649
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contrib
jwfromm commented on pull request #5755:
URL: https://github.com/apache/incubator-tvm/pull/5755#issuecomment-642273871
I'm definitely in favor of this change, some of the models that take a long
time to import are very unpleasant to deal with and taking a small hit on much
faster importing
junrushao1994 commented on a change in pull request #5740:
URL: https://github.com/apache/incubator-tvm/pull/5740#discussion_r438423203
##
File path: src/ir/expr.cc
##
@@ -171,17 +171,17 @@ TVM_STATIC_IR_FUNCTOR(ReprPrinter, vtable)
.set_dispatch([](const ObjectRef& node,
junrushao1994 commented on pull request #5740:
URL: https://github.com/apache/incubator-tvm/pull/5740#issuecomment-642286757
Some actionable items per offline discussion with @tqchen:
A1. We move things back to include/tvm/node, instead of runtime. This is
mainly due to the concern o
junrushao1994 edited a comment on pull request #5740:
URL: https://github.com/apache/incubator-tvm/pull/5740#issuecomment-642286757
Some actionable items per offline discussion with @tqchen:
A1. We move things back to include/tvm/node, instead of runtime. This is
mainly due to the co
anijain2305 commented on issue #5458:
URL: https://github.com/apache/incubator-tvm/issues/5458#issuecomment-642287159
Ping @icemelon9 If you get time.
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tqchen commented on a change in pull request #5601:
URL: https://github.com/apache/incubator-tvm/pull/5601#discussion_r438430324
##
File path: src/tir/transforms/bf16_legalize.cc
##
@@ -0,0 +1,387 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438434392
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contrib
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438434494
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contrib
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438436066
##
File path: tutorials/micro/README.txt
##
@@ -0,0 +1,4 @@
+.. _tutorial-micro:
Review comment:
Removed
-
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438436184
##
File path: docs/conf.py
##
@@ -203,7 +203,8 @@
'../tutorials/deployment',
'../vta/tutorials/frontend',
'../vta/tutorials/optim
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438437454
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contrib
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438437168
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contrib
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438437559
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contrib
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438438414
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contrib
masahi commented on pull request #5755:
URL: https://github.com/apache/incubator-tvm/pull/5755#issuecomment-642300115
Correct me if I'm wrong, does this change mean `infer_value` on down stream
nodes should be faster because the arguments are constant (computed bottom up)
rather than anoth
masahi edited a comment on pull request #5755:
URL: https://github.com/apache/incubator-tvm/pull/5755#issuecomment-642300115
Correct me if I'm wrong, does this change make `infer_value` on down stream
nodes faster because the arguments are constant (computed bottom up) rather
than another
t-vi commented on pull request #5763:
URL: https://github.com/apache/incubator-tvm/pull/5763#issuecomment-642311242
Two of the end-to-end networks seemed to have deviations slightly above
1e-5. I moved those to 1e-4 tolerance.
--
tqchen commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438462908
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contribut
tqchen commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438463038
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contribut
zhiics opened a new pull request #5770:
URL: https://github.com/apache/incubator-tvm/pull/5770
This PR attempts to separate metadata initialization and source code
compilation (when necessary). The discussion can be found here:
https://discuss.tvm.ai/t/byoc-runtime-json-runtime-for-byoc/65
icemelon9 commented on pull request #5757:
URL: https://github.com/apache/incubator-tvm/pull/5757#issuecomment-642335433
@lixiaoquan Yes, that's possible. I could take a look as well.
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tmoreau89 commented on pull request #5:
URL: https://github.com/apache/incubator-tvm-vta/pull/5#issuecomment-642342815
Thanks so much @huajsj the PR has been approved and merged.
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moreau pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm-vta.git
The following commit(s) were added to refs/heads/master by this push:
new f1c3385 Add c++ and python local dep
tmoreau89 merged pull request #5:
URL: https://github.com/apache/incubator-tvm-vta/pull/5
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masahi commented on pull request #5763:
URL: https://github.com/apache/incubator-tvm/pull/5763#issuecomment-642343462
CI is still not happy. Could be related to CUDA issues.
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leonwanghui commented on pull request #5527:
URL: https://github.com/apache/incubator-tvm/pull/5527#issuecomment-642349670
@jroesch Got it, thanks a lot for the elaboration : )
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masahi commented on a change in pull request #5737:
URL: https://github.com/apache/incubator-tvm/pull/5737#discussion_r438492376
##
File path: python/tvm/relay/op/strategy/generic.py
##
@@ -345,6 +345,46 @@ def conv2d_transpose_strategy(attrs, inputs, out_type,
target):
masahi commented on a change in pull request #5737:
URL: https://github.com/apache/incubator-tvm/pull/5737#discussion_r438492454
##
File path: python/tvm/relay/op/strategy/generic.py
##
@@ -345,6 +345,46 @@ def conv2d_transpose_strategy(attrs, inputs, out_type,
target):
FrozenGene commented on pull request #5754:
URL: https://github.com/apache/incubator-tvm/pull/5754#issuecomment-642374967
Thanks for the great work! I have some quick question:
1. Have you tested various models arm cpu? (like A53, A72, A55, A75 and so
on). According to fb qnnpack blog, i
FrozenGene commented on pull request #5754:
URL: https://github.com/apache/incubator-tvm/pull/5754#issuecomment-642375802
cc @ajtulloch
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FrozenGene edited a comment on pull request #5754:
URL: https://github.com/apache/incubator-tvm/pull/5754#issuecomment-642374967
Thanks for the great work! I have some quick question:
1. Have you tested various models arm cpu? (like A53, A72, A55, A75 and so
on). According to fb qnnpack
zhiics commented on a change in pull request #5699:
URL: https://github.com/apache/incubator-tvm/pull/5699#discussion_r438517544
##
File path: python/tvm/relay/frontend/tensorflow.py
##
@@ -2444,6 +2470,27 @@ def _in_while_loop(control_flow_node_map, op_name):
return op_na
leonwanghui opened a new issue #5771:
URL: https://github.com/apache/incubator-tvm/issues/5771
Hi @tqchen @jroesch , I was working for embedding Rust runtime for WASM
target, but came across some problems when building test-wasm32 crate.
## Error elaboration
Firstly I need to clar
leonwanghui closed pull request #5733:
URL: https://github.com/apache/incubator-tvm/pull/5733
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leonwanghui commented on pull request #5733:
URL: https://github.com/apache/incubator-tvm/pull/5733#issuecomment-642384629
Already fixed by transferring `Tensor` to `DLTensor` ABI.
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tmoreau89 commented on pull request #8:
URL: https://github.com/apache/incubator-tvm-vta/pull/8#issuecomment-642387343
@zhanghaohit I think that the warning approach is a reasonable compromise
between user-defined flexibility and making sure that they set the value
correctly.
To ech
xqdan opened a new pull request #5772:
URL: https://github.com/apache/incubator-tvm/pull/5772
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kevinthesun commented on pull request #5757:
URL: https://github.com/apache/incubator-tvm/pull/5757#issuecomment-642389407
Thanks @icemelon9 @jroesch @lixiaoquan
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