mxnet-bot commented on pull request #18316:
URL: https://github.com/apache/incubator-mxnet/pull/18316#issuecomment-628439726
Hey @bgawrych , Thanks for submitting the PR
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bgawrych opened a new pull request #18316:
URL: https://github.com/apache/incubator-mxnet/pull/18316
## Description ##
Fix for LSTM and GRU layers without DNNL enabled give wrong gradients #17898
For bidiractional LSTM with number of layers > 2 input gradient calculation
was incor
yzhliu commented on issue #18297:
URL:
https://github.com/apache/incubator-mxnet/issues/18297#issuecomment-628443160
@JiangZhaoh will be helping to document.
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TriLoo edited a comment on issue #18295:
URL:
https://github.com/apache/incubator-mxnet/issues/18295#issuecomment-628443534
a wrong input caused this error, and this error is fixed now. thank. @leezu
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TriLoo commented on issue #18295:
URL:
https://github.com/apache/incubator-mxnet/issues/18295#issuecomment-628443534
a wrong input caused this error, and this error is fixed now. thank
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URL: https://github.com/apache/incubator-mxnet/issues/18295
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hzfan commented on a change in pull request #18197:
URL: https://github.com/apache/incubator-mxnet/pull/18197#discussion_r424862190
##
File path: src/operator/numpy/linalg/np_qr-inl.h
##
@@ -514,15 +548,28 @@ struct qr_backward {
template
size_t QrBackwardWorkspaceSize(cons
hzfan commented on a change in pull request #18197:
URL: https://github.com/apache/incubator-mxnet/pull/18197#discussion_r424862190
##
File path: src/operator/numpy/linalg/np_qr-inl.h
##
@@ -514,15 +548,28 @@ struct qr_backward {
template
size_t QrBackwardWorkspaceSize(cons
bgawrych opened a new pull request #18317:
URL: https://github.com/apache/incubator-mxnet/pull/18317
## Description ##
Fix for LSTM and GRU layers without DNNL enabled give wrong gradients #17898
For bidiractional LSTM with number of layers > 2 input gradient calculation
was incor
mxnet-bot commented on pull request #18317:
URL: https://github.com/apache/incubator-mxnet/pull/18317#issuecomment-628452048
Hey @bgawrych , Thanks for submitting the PR
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mseth10 commented on a change in pull request #25:
URL: https://github.com/apache/incubator-mxnet-ci/pull/25#discussion_r424936190
##
File path: services/jenkins-pipeline-monitor/deploy_lambda.sh
##
@@ -0,0 +1,16 @@
+set -e
+
+echo "Deployment stage (test, prod)"
+read config_d
mseth10 commented on a change in pull request #25:
URL: https://github.com/apache/incubator-mxnet-ci/pull/25#discussion_r424943504
##
File path: services/jenkins-pipeline-monitor/handler.py
##
@@ -0,0 +1,134 @@
+import os
+import boto3
+import json
+import logging
+import secre
hgt312 commented on pull request #18313:
URL: https://github.com/apache/incubator-mxnet/pull/18313#issuecomment-628473298
@yzhliu @sxjscience Any thoughts on the conversion rules?
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mseth10 commented on a change in pull request #25:
URL: https://github.com/apache/incubator-mxnet-ci/pull/25#discussion_r424958208
##
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##
@@ -0,0 +1,134 @@
+import os
+import boto3
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+import logging
+import secre
mseth10 commented on a change in pull request #25:
URL: https://github.com/apache/incubator-mxnet-ci/pull/25#discussion_r424958208
##
File path: services/jenkins-pipeline-monitor/handler.py
##
@@ -0,0 +1,134 @@
+import os
+import boto3
+import json
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mseth10 commented on a change in pull request #25:
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##
File path: services/jenkins-pipeline-monitor/handler.py
##
@@ -0,0 +1,134 @@
+import os
+import boto3
+import json
+import logging
+import secre
sxjscience commented on pull request #18313:
URL: https://github.com/apache/incubator-mxnet/pull/18313#issuecomment-628485821
```python
import jax.numpy as jnp
import numpy as onp
# jnp += onp
a = jnp.ones((10,))
b = onp.ones((10,))
a += b
print(type(a))
# onp +=
sxjscience commented on pull request #18313:
URL: https://github.com/apache/incubator-mxnet/pull/18313#issuecomment-628486640
In Jax, if any ndarray is a Jax ndarray, the result will also be a Jax
ndarray.
This is an automat
mseth10 commented on pull request #18083:
URL: https://github.com/apache/incubator-mxnet/pull/18083#issuecomment-628494904
@acphile this PR fails nightly CD while running nightly python unit tests.
The following tests fail:
test_mcc, test_multilabel_f1, test_binary_f1
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mxnet-bot commented on pull request #18318:
URL: https://github.com/apache/incubator-mxnet/pull/18318#issuecomment-628499438
Hey @mseth10 , Thanks for submitting the PR
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mseth10 opened a new pull request #18318:
URL: https://github.com/apache/incubator-mxnet/pull/18318
This reverts commit effbb8b7498e58259bafa6010b8d042bff8d239c.
This fixes the nightly CD failures:
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/restricted-mxnet-c
mseth10 edited a comment on pull request #18083:
URL: https://github.com/apache/incubator-mxnet/pull/18083#issuecomment-628494904
@acphile this PR fails nightly CD while running nightly python unit tests.
The following tests fail:
test_mcc, test_multilabel_f1, test_binary_f1
http://j
AntiZpvoh opened a new pull request #18319:
URL: https://github.com/apache/incubator-mxnet/pull/18319
## Description ##
add symbolic advanced indexing for DeepNumPy
solve the issue https://github.com/apache/incubator-mxnet/issues/17327
## Checklist ##
### Essentials ###
mxnet-bot commented on pull request #18319:
URL: https://github.com/apache/incubator-mxnet/pull/18319#issuecomment-628511276
Hey @AntiZpvoh , Thanks for submitting the PR
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bhavitvyamalik commented on issue #17923:
URL:
https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628549077
@JustinhoCHN what was the CUDA version of your Jetson Nano image?
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bgawrych opened a new pull request #18320:
URL: https://github.com/apache/incubator-mxnet/pull/18320
## Description ##
Improve log_softmax op performance by using DNNL support
**Native implementation:**
| shape | time (ms/iter) |
|---|---|
| (5, 512, 512) | 5.385858
mxnet-bot commented on pull request #18320:
URL: https://github.com/apache/incubator-mxnet/pull/18320#issuecomment-628561712
Hey @bgawrych , Thanks for submitting the PR
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hgt312 commented on pull request #18313:
URL: https://github.com/apache/incubator-mxnet/pull/18313#issuecomment-628565299
Jax does not implement inplace op overload like `__iadd__`. It is not a real
inplace operation.
In my opinion, inplace operation should keep its type, while the other
bhavitvyamalik edited a comment on issue #17923:
URL:
https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628549077
@JustinhoCHN what was the CUDA version of your Jetson Nano image? It gives
me the following error:
```
>>> import mxnet
Traceback (most recent ca
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TaoLv commented on pull request #18310:
URL: https://github.com/apache/incubator-mxnet/pull/18310#issuecomment-628614890
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JustinhoCHN commented on issue #17923:
URL:
https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628621084
> @JustinhoCHN what was the CUDA version of your Jetson Nano image? It gives
me the following error:
>
> ```
> >>> import mxnet
> Traceback (most recent ca
bhavitvyamalik commented on issue #17923:
URL:
https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628629929
Do you still have the image which you used on your Jetson Nano? Nvidia keeps
on updating their images regularly and I ended up with CUDA 10.2 :/
--
D-Roberts commented on a change in pull request #18197:
URL: https://github.com/apache/incubator-mxnet/pull/18197#discussion_r425140133
##
File path: src/operator/numpy/linalg/np_qr-inl.h
##
@@ -514,15 +548,28 @@ struct qr_backward {
template
size_t QrBackwardWorkspaceSize(
D-Roberts commented on pull request #18197:
URL: https://github.com/apache/incubator-mxnet/pull/18197#issuecomment-628641606
The code follows the idea in the reference [Differential Programming Tensor
Networks](https://journals.aps.org/prx/pdf/10.1103/PhysRevX.9.031041). At high
level, par
bhavitvyamalik edited a comment on issue #17923:
URL:
https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628629929
Do you still have the image which you used on your Jetson Nano? Nvidia keeps
on updating their images regularly and I ended up with CUDA 10.2 :/
Edit:
sxjscience commented on pull request #18313:
URL: https://github.com/apache/incubator-mxnet/pull/18313#issuecomment-628721077
> Jax does not implement inplace op overload like `__iadd__`. It is not a
real inplace operation.
> In my opinion, inplace operation should keep its type, while t
alexsisu opened a new issue #18321:
URL: https://github.com/apache/incubator-mxnet/issues/18321
## Description
The problem is that im trying to sent a batch of images ( > 1) to the model.
But it fails with the following errr
### Error Message
```
input_sym_arg_type = in_pa
leezu opened a new issue #18322:
URL: https://github.com/apache/incubator-mxnet/issues/18322
http://jenkins.mxnet-ci.amazon-ml.com/blue/rest/organizations/jenkins/pipelines/mxnet-validation/pipelines/windows-gpu/branches/PR-18312/runs/2/nodes/109/steps/155/log/?start=0
```
[2020-0
leezu commented on pull request #18318:
URL: https://github.com/apache/incubator-mxnet/pull/18318#issuecomment-628745475
We may also simply fix the tests
https://github.com/apache/incubator-mxnet/pull/18312
This is an auto
leezu commented on pull request #18083:
URL: https://github.com/apache/incubator-mxnet/pull/18083#issuecomment-628746204
The reason it fails is that the CI check in this PR was run too long ago. I
should have restarted it before merging the PR. Meantime master changed and
caused some addit
eric-haibin-lin commented on a change in pull request #18228:
URL: https://github.com/apache/incubator-mxnet/pull/18228#discussion_r424742207
##
File path: python/mxnet/rnn/rnn_cell.py
##
@@ -459,6 +459,11 @@ def __call__(self, inputs, states):
mxnet-bot commented on pull request #18309:
URL: https://github.com/apache/incubator-mxnet/pull/18309#issuecomment-628762209
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rondogency commented on pull request #18309:
URL: https://github.com/apache/incubator-mxnet/pull/18309#issuecomment-628762127
@mxnet-bot run ci [unix-gpu]
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mxnet-bot commented on pull request #18197:
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D-Roberts commented on pull request #18197:
URL: https://github.com/apache/incubator-mxnet/pull/18197#issuecomment-628768250
@mxnet-bot run ci [centos-cpu, unix-cpu, windows-gpu]
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ptrendx commented on issue #18280:
URL:
https://github.com/apache/incubator-mxnet/issues/18280#issuecomment-628785129
`xxd` is Linux only I believe, so the better approach is actually to just be
able to generate the file with `R"delimiter(` and `)delimiter"` around the
code, which should
ArmageddonKnight commented on a change in pull request #18228:
URL: https://github.com/apache/incubator-mxnet/pull/18228#discussion_r425317983
##
File path: python/mxnet/rnn/rnn_cell.py
##
@@ -459,6 +459,11 @@ def __call__(self, inputs, states):
ArmageddonKnight commented on a change in pull request #18228:
URL: https://github.com/apache/incubator-mxnet/pull/18228#discussion_r425320086
##
File path: docs/static_site/src/pages/api/faq/env_var.md
##
@@ -189,7 +189,7 @@ $env:MXNET_STORAGE_FALLBACK_LOG_VERBOSE=0
- The m
ArmageddonKnight commented on a change in pull request #18228:
URL: https://github.com/apache/incubator-mxnet/pull/18228#discussion_r425320086
##
File path: docs/static_site/src/pages/api/faq/env_var.md
##
@@ -189,7 +189,7 @@ $env:MXNET_STORAGE_FALLBACK_LOG_VERBOSE=0
- The m
leezu commented on pull request #18313:
URL: https://github.com/apache/incubator-mxnet/pull/18313#issuecomment-628793435
We can also consider not exposing the "real" inplace operation
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leezu removed a comment on pull request #18313:
URL: https://github.com/apache/incubator-mxnet/pull/18313#issuecomment-628793435
We can also consider not exposing the "real" inplace operation
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mxnet-bot commented on pull request #18323:
URL: https://github.com/apache/incubator-mxnet/pull/18323#issuecomment-628816516
Hey @zhreshold , Thanks for submitting the PR
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zhreshold opened a new pull request #18323:
URL: https://github.com/apache/incubator-mxnet/pull/18323
## Description ##
Fix #18322
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] The PR title starts with [MXNET-$JIRA_ID],
zhreshold commented on issue #18322:
URL:
https://github.com/apache/incubator-mxnet/issues/18322#issuecomment-628816780
This is very likely caused by parallel test. See
https://github.com/apache/incubator-mxnet/pull/18323
T
anirudh2290 commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628821250
not sure completely what it is, but it could be that the one of the objects
in garbage is a ndarray and when you call print it calls its __repr__ and
asnumpy, the depe
leezu commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628821443
The mutex in above core dump is actually non existant. The problem here is
that the ffi call to MXNDArraySyncCopyToCPU passes a handle whose Chunk was
cleaned up. So the seg
ChaiBapchya opened a new pull request #18324:
URL: https://github.com/apache/incubator-mxnet/pull/18324
## Description ##
Currently opperf supports for mx.nd operators alone.
However, locally, one can test internal ops. Documenting it in readme.
@access2rohit @sandeep-krishn
mxnet-bot commented on pull request #18324:
URL: https://github.com/apache/incubator-mxnet/pull/18324#issuecomment-628821763
Hey @ChaiBapchya , Thanks for submitting the PR
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leezu commented on pull request #18323:
URL: https://github.com/apache/incubator-mxnet/pull/18323#issuecomment-628822907
Could you clarify where the race occurs?
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access2rohit commented on a change in pull request #18324:
URL: https://github.com/apache/incubator-mxnet/pull/18324#discussion_r425359944
##
File path: benchmark/opperf/README.md
##
@@ -167,6 +167,41 @@ Output for the above benchmark run, on a CPU machine,
would look somethin
ChaiBapchya commented on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-628826234
Search feature looks great.
Nice to see we leveraging third-party to solve our search problem.
Q1. This feature is currently only for landing page right?
It
ChaiBapchya edited a comment on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-628826234
Search feature looks great.
Nice to see we leveraging third-party to solve our search problem.
Q1. This feature is currently only for landing page right
ChaiBapchya commented on a change in pull request #18324:
URL: https://github.com/apache/incubator-mxnet/pull/18324#discussion_r425364020
##
File path: benchmark/opperf/README.md
##
@@ -167,6 +167,41 @@ Output for the above benchmark run, on a CPU machine,
would look something
leezu commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628829305
I can confirm that __del__ is called on the object, but it's still kept
around in Python afterwards.
In practice that may only make problems when debugging memory leaks (a
anirudh2290 commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628831199
From https://docs.python.org/3/library/gc.html#gc.garbage , "Changed in
version 3.4: Following PEP 442, objects with a __del__() method don’t end up in
gc.garbage anym
zhreshold commented on pull request #18323:
URL: https://github.com/apache/incubator-mxnet/pull/18323#issuecomment-628832894
If multiple tests want to create the rec file at the same time, the rec file
may be corrupted
This
leezu commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628833322
That's because I set gc.set_debug(gc.DEBUG_SAVEALL). I want to preserve all
objects found by gc, because I need to figure out where the reference cycle
that prevented them f
anirudh2290 commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628845269
> We see that after `del net` is called, two ndarrays are finalized thanks
to reference counting. 4 arrays are only finalized after a full garbage
collection.
a
ys2843 commented on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-628867702
> Search feature looks great.
> Nice to see we leveraging third-party to solve our search problem.
> Q1. This feature is currently only for landing page right?
>
ys2843 edited a comment on pull request #18288:
URL: https://github.com/apache/incubator-mxnet/pull/18288#issuecomment-628867702
> Search feature looks great.
> Nice to see we leveraging third-party to solve our search problem.
> Q1. This feature is currently only for landing page righ
ArmageddonKnight commented on a change in pull request #18228:
URL: https://github.com/apache/incubator-mxnet/pull/18228#discussion_r425317983
##
File path: python/mxnet/rnn/rnn_cell.py
##
@@ -459,6 +459,11 @@ def __call__(self, inputs, states):
rajkinra23 commented on issue #13288:
URL:
https://github.com/apache/incubator-mxnet/issues/13288#issuecomment-628874551
> I still have linking errors in creating `bin/im2rec` with OpenCV 4.0.1
(MXNet HEAD:
[09ba8be](https://github.com/apache/incubator-mxnet/commit/09ba8be4be36135e2a8d6c4
leezu merged pull request #18312:
URL: https://github.com/apache/incubator-mxnet/pull/18312
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leezu commented on pull request #18323:
URL: https://github.com/apache/incubator-mxnet/pull/18323#issuecomment-628890535
Would creating the rec-file at a temporary path then solve the issue while
preserving parallelization? You can take the `tmp_path` argument in your test
function to have
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leezu commented on pull request #18315:
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eric-haibin-lin closed issue #11756:
URL: https://github.com/apache/incubator-mxnet/issues/11756
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eric-haibin-lin commented on issue #11756:
URL:
https://github.com/apache/incubator-mxnet/issues/11756#issuecomment-628909891
Closing this issue for now. Please feel free to reopen if you come across
this again
This is an a
eric-haibin-lin commented on issue #10673:
URL:
https://github.com/apache/incubator-mxnet/issues/10673#issuecomment-628910048
@access2rohit @apeforest can we close this issue now?
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eric-haibin-lin commented on issue #10724:
URL:
https://github.com/apache/incubator-mxnet/issues/10724#issuecomment-628910311
closing this for now. Please feel free to comment/reopen if the issue comes
up again
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eric-haibin-lin closed issue #10724:
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eric-haibin-lin closed issue #14022:
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eric-haibin-lin commented on issue #14022:
URL:
https://github.com/apache/incubator-mxnet/issues/14022#issuecomment-628910827
closing this for now. please feel free to comment/reopen if you come across
this issue again
This
eric-haibin-lin closed issue #11846:
URL: https://github.com/apache/incubator-mxnet/issues/11846
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eric-haibin-lin commented on issue #11846:
URL:
https://github.com/apache/incubator-mxnet/issues/11846#issuecomment-628910582
closing this for now since mxnet by default is built with mkldnn
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apeforest commented on issue #10673:
URL:
https://github.com/apache/incubator-mxnet/issues/10673#issuecomment-628915089
Please build with USE_INT64_TENSOR_SIZE flag. Closing the issue
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apeforest closed issue #10673:
URL: https://github.com/apache/incubator-mxnet/issues/10673
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mxnet-bot commented on pull request #18325:
URL: https://github.com/apache/incubator-mxnet/pull/18325#issuecomment-628926177
Hey @ptrendx , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following co
ptrendx opened a new pull request #18325:
URL: https://github.com/apache/incubator-mxnet/pull/18325
## Description ##
Fixes #15533
Notable change needed to happen to LARS optimizer, since it actually
requires the lack of momentum correction, so I had to emulate it in the
unaggreg
mxnet-bot commented on pull request #18326:
URL: https://github.com/apache/incubator-mxnet/pull/18326#issuecomment-628939287
Hey @ChaiBapchya , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the followin
ChaiBapchya opened a new pull request #18326:
URL: https://github.com/apache/incubator-mxnet/pull/18326
## Description ##
1. `mx.nd.copyto` doesnt exist
2. website title shows ndarray instead of symbol
## Checklist ##
### Essentials ###
Please feel free to remove
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