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zhreshold pushed a change to branch master
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from c583e44 fix requantize flaky test (#16709)
add 0c5677e Faster GPU NMS operator (#16542)
No new
zhreshold merged pull request #16542: Faster GPU NMS operator
URL: https://github.com/apache/incubator-mxnet/pull/16542
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haojin2 commented on issue #16725: Failed test:
test_gluon_gpu.test_rnn_unroll_variant_length
URL:
https://github.com/apache/incubator-mxnet/issues/16725#issuecomment-549690366
@ptrendx @DickJC123 Could you guys provide some insights to this issue?
Seems like related to the fused ops
artor1os opened a new issue #16725: Failed test
URL: https://github.com/apache/incubator-mxnet/issues/16725
test name: test_gluon_gpu.test_rnn_unroll_variant_length
log:
```
test_gluon_gpu.test_rnn_unroll_variant_length ...
Segmentation fault: 11
Stack trace:
sxjscience edited a comment on issue #16705: Dropout inconsistency bug
URL:
https://github.com/apache/incubator-mxnet/issues/16705#issuecomment-549683831
With the help of @xidulu , we have located the root cause of the issue:
The bug is triggered because we have multiple parallel
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sxjscience commented on issue #16705: Dropout inconsistency bug
URL:
https://github.com/apache/incubator-mxnet/issues/16705#issuecomment-549683831
With the help of @xidulu , we have located the root cause of the issue:
The bug is triggered because we have multiple parallel GPU
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patriczhao pushed a change to branch master
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from b9f3b06 Updated logos. (#16719)
add c583e44 fix requantize flaky test (#16709)
No new revisions
pengzhao-intel merged pull request #16709: Fix requantize flaky test
URL: https://github.com/apache/incubator-mxnet/pull/16709
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vasusingla619 commented on issue #16596: How to initialize a CPU tensor in
custom cu file?
URL:
https://github.com/apache/incubator-mxnet/issues/16596#issuecomment-549662413
Thanks, this was solved!
This is an automated
vasusingla619 closed issue #16596: How to initialize a CPU tensor in custom cu
file?
URL: https://github.com/apache/incubator-mxnet/issues/16596
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stereomatchingkiss opened a new issue #16724: Example link of the image
classification show 404
URL: https://github.com/apache/incubator-mxnet/issues/16724
I keep getting error 404 when I try to read the image classification
reminisce commented on issue #16699: Mixed data type binary ops
URL: https://github.com/apache/incubator-mxnet/pull/16699#issuecomment-549655791
@marcoabreu Appreciate your review. I can assure you that Windows is
absolutely not excluded from supporting mixed-precision as Unix. @haojin2
ptrendx commented on issue #16723: [Bug] fused_op does not support boolean type
URL:
https://github.com/apache/incubator-mxnet/issues/16723#issuecomment-549639921
I see, this is a newly added type. We will fix this.
This is
sxjscience opened a new issue #16723: Fuse_op does not support boolean type
URL: https://github.com/apache/incubator-mxnet/issues/16723
@ptrendx I find that the FusedOp does not support the boolean type. The
following script will trigger the error.
```python
import mxnet as mx
knjwhn commented on issue #16557: Where is the place that mxnet call cblas_gemm
if I use openblas?
URL:
https://github.com/apache/incubator-mxnet/issues/16557#issuecomment-549632939
> Hi @knjwhn,
>
>
xidulu commented on issue #16705: Dropout inconsistency bug
URL:
https://github.com/apache/incubator-mxnet/issues/16705#issuecomment-549630402
Clearly, dropout in inference mode affects the random state:
```
>>> mx.random.seed(123)
>>> mx.nd.Dropout(x, cudnn_off=True)
[[1.
anirudh2290 commented on issue #16612: Compilation fails in master Cuda
10.1.105 GCC 7.4 Ubuntu 18.04
URL:
https://github.com/apache/incubator-mxnet/issues/16612#issuecomment-549627214
I agree, it would be worth opening a PR to dmlc-core. Thanks @DickJC123 !
ChaiBapchya commented on issue #6493: Tutorials that need improvement
URL:
https://github.com/apache/incubator-mxnet/issues/6493#issuecomment-549626986
I'm guessing the more tutorials we have (on varied topics) the better it is
for our users. Personally, I'd interested in knowing all of
ChaiBapchya opened a new pull request #16722: Remove unused files in Website doc
URL: https://github.com/apache/incubator-mxnet/pull/16722
## Description ##
After the revamping of the MXNet website, we no longer need
```
python/mxnet/ndarray_doc.py
python/mxnet/symbol_doc.py
ChaiBapchya closed pull request #14243: Fix commands to make doc consistent
URL: https://github.com/apache/incubator-mxnet/pull/14243
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wuxun-zhang commented on issue #16184: Add large tensor nightly tests for
MKL-DNN operators
URL: https://github.com/apache/incubator-mxnet/pull/16184#issuecomment-549621011
@ChaiBapchya @marcoabreu Please take a look again and see if your concerns
are properly resolved. Thanks.
larroy edited a comment on issue #16612: Compilation fails in master Cuda
10.1.105 GCC 7.4 Ubuntu 18.04
URL:
https://github.com/apache/incubator-mxnet/issues/16612#issuecomment-549614983
I think it would be user friendly to avoid obscure compilation errors for
users if we can avoid it.
larroy commented on issue #16612: Compilation fails in master Cuda 10.1.105 GCC
7.4 Ubuntu 18.04
URL:
https://github.com/apache/incubator-mxnet/issues/16612#issuecomment-549614983
I think it would be user friendly to avoid obscure compilation errors for
users if we can avoid it.
DickJC123 commented on issue #16612: Compilation fails in master Cuda 10.1.105
GCC 7.4 Ubuntu 18.04
URL:
https://github.com/apache/incubator-mxnet/issues/16612#issuecomment-549614211
And FYI, if you feel it worth trying to correct this for MXNet users on the
original cuda 10.1, the fix
aaronmarkham commented on issue #16408: Add MXNet Ops for fast multihead
attention
URL: https://github.com/apache/incubator-mxnet/pull/16408#issuecomment-549613083
> @aaronmarkham is the website preview functionality still working after the
website upgrade? I cannot see the preview of
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DickJC123 commented on issue #16685: Memory planner doesn't respect 'output
independence'. More optimizations possible.
URL:
https://github.com/apache/incubator-mxnet/issues/16685#issuecomment-549608267
I have not begun to work on this, and my plate is fairly full, so someone
else can
DickJC123 removed a comment on issue #16131: Fix for duplicate subgraph
inputs/outputs
URL: https://github.com/apache/incubator-mxnet/pull/16131#issuecomment-549511847
I have not begun to work on this, and my plate is fairly full, so someone
else can jump in if they want. The issue can
haojin2 commented on a change in pull request #16699: Mixed data type binary ops
URL: https://github.com/apache/incubator-mxnet/pull/16699#discussion_r342324211
##
File path: src/operator/mshadow_op.h
##
@@ -194,6 +194,100 @@ MXNET_BINARY_MATH_OP_NC(right, b);
haojin2 commented on a change in pull request #16699: Mixed data type binary ops
URL: https://github.com/apache/incubator-mxnet/pull/16699#discussion_r342324211
##
File path: src/operator/mshadow_op.h
##
@@ -194,6 +194,100 @@ MXNET_BINARY_MATH_OP_NC(right, b);
ChaiBapchya commented on issue #11535: installed mxnet-cu92 on ubuntu but can't
run example code correctly
URL:
https://github.com/apache/incubator-mxnet/issues/11535#issuecomment-549593778
@zhuotest you can confirm
But @rohun-tripathi does this help -
marcoabreu commented on a change in pull request #16699: Mixed data type binary
ops
URL: https://github.com/apache/incubator-mxnet/pull/16699#discussion_r342319668
##
File path: src/operator/mshadow_op.h
##
@@ -194,6 +194,100 @@ MXNET_BINARY_MATH_OP_NC(right, b);
marcoabreu commented on a change in pull request #16699: Mixed data type binary
ops
URL: https://github.com/apache/incubator-mxnet/pull/16699#discussion_r342319668
##
File path: src/operator/mshadow_op.h
##
@@ -194,6 +194,100 @@ MXNET_BINARY_MATH_OP_NC(right, b);
larroy commented on issue #16612: Compilation fails in master Cuda 10.1 GCC 7.4
Ubuntu 18.04
URL:
https://github.com/apache/incubator-mxnet/issues/16612#issuecomment-549589878
I was able to upgrade and the problem went away with the updated CUDA.
haojin2 commented on a change in pull request #16699: Mixed data type binary ops
URL: https://github.com/apache/incubator-mxnet/pull/16699#discussion_r342316290
##
File path: src/operator/mshadow_op.h
##
@@ -194,6 +194,100 @@ MXNET_BINARY_MATH_OP_NC(right, b);
sxjscience commented on issue #16721: GPU is not enabled for mxnet based word
embeddings.
URL:
https://github.com/apache/incubator-mxnet/issues/16721#issuecomment-549585414
@csharma Would you ask questions here https://discuss.mxnet.io/ ? The issue
page is for bug reports.
sxjscience closed issue #16721: GPU is not enabled for mxnet based word
embeddings.
URL: https://github.com/apache/incubator-mxnet/issues/16721
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from 5a2fce5 [WIP][New Op] Add deformable conv v2 (#16341)
add b9f3b06 Updated logos. (#16719)
No
marcoabreu commented on a change in pull request #16699: Mixed data type binary
ops
URL: https://github.com/apache/incubator-mxnet/pull/16699#discussion_r342309638
##
File path: src/operator/mshadow_op.h
##
@@ -194,6 +194,100 @@ MXNET_BINARY_MATH_OP_NC(right, b);
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from 5a2fce5 [WIP][New Op] Add deformable conv v2 (#16341)
add b9f3b06 Updated logos. (#16719)
No
marcoabreu merged pull request #16719: Updated landing page logos (adding Dely)
URL: https://github.com/apache/incubator-mxnet/pull/16719
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sxjscience pushed a change to branch master
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from bb6305d [MKLDNN] support mkldnn gelu (#16710)
add 5a2fce5 [WIP][New Op] Add deformable conv v2
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from bb6305d [MKLDNN] support mkldnn gelu (#16710)
add 5a2fce5 [WIP][New Op] Add deformable conv v2
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from bb6305d [MKLDNN] support mkldnn gelu (#16710)
add 5a2fce5 [WIP][New Op] Add deformable conv v2
sxjscience merged pull request #16341: [WIP][New Op] Add deformable conv v2
URL: https://github.com/apache/incubator-mxnet/pull/16341
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sxjscience commented on a change in pull request #16341: [WIP][New Op] Add
deformable conv v2
URL: https://github.com/apache/incubator-mxnet/pull/16341#discussion_r342303707
##
File path: tests/python/unittest/test_contrib_operator.py
##
@@ -409,6 +409,42 @@ def
sxjscience commented on a change in pull request #16341: [WIP][New Op] Add
deformable conv v2
URL: https://github.com/apache/incubator-mxnet/pull/16341#discussion_r342303092
##
File path: tests/python/unittest/test_contrib_operator.py
##
@@ -409,6 +409,42 @@ def
sxjscience commented on a change in pull request #16341: [WIP][New Op] Add
deformable conv v2
URL: https://github.com/apache/incubator-mxnet/pull/16341#discussion_r342302212
##
File path: src/operator/contrib/nn/modulated_deformable_im2col.cuh
##
@@ -0,0 +1,541 @@
+/*
+ *
sxjscience commented on a change in pull request #16341: [WIP][New Op] Add
deformable conv v2
URL: https://github.com/apache/incubator-mxnet/pull/16341#discussion_r342301961
##
File path: src/operator/contrib/nn/modulated_deformable_im2col.cuh
##
@@ -0,0 +1,541 @@
+/*
+ *
zhreshold commented on issue #16341: [WIP][New Op] Add deformable conv v2
URL: https://github.com/apache/incubator-mxnet/pull/16341#issuecomment-549568041
CI passed, training convergence passed, can you guys help merge it since the
furture gluoncv models depends on this PR?
DickJC123 commented on issue #16612: Compilation fails in master Cuda 10.1 GCC
7.4 Ubuntu 18.04
URL:
https://github.com/apache/incubator-mxnet/issues/16612#issuecomment-549554260
Yes, I believe this is a problem present in the original cuda 10.1 release
(10.1.105), fixed by 10.1 Update 1
csharma commented on issue #16721: GPU is not enabled for mxnet based word
embeddings.
URL:
https://github.com/apache/incubator-mxnet/issues/16721#issuecomment-549549560
Add the following line to make it run
from bert_embedding import BertEmbedding
Best,
Cartik
Jerryzcn commented on issue #16708: Training an FPN model using grad_req="add"
causes rapid divergence, while manually implemented gradient accumulation works
fine
URL:
https://github.com/apache/incubator-mxnet/issues/16708#issuecomment-549547579
There is also some bugs in grad
sxjscience commented on issue #16701: Hybridize, conditional operator, and loop
gradient/trainer bug
URL:
https://github.com/apache/incubator-mxnet/issues/16701#issuecomment-549542897
@junrushao1994 @szha @zheng-da
This is
zheng-da commented on issue #16603: Significant slowdown in some DGL models
URL:
https://github.com/apache/incubator-mxnet/issues/16603#issuecomment-549542817
I just tried the experiment again and there is no problem. The command to
run the experiment:
```
python3 train.py --model
sxjscience commented on issue #16721: GPU is not enabled for mxnet based word
embeddings.
URL:
https://github.com/apache/incubator-mxnet/issues/16721#issuecomment-549541781
@csharma There is no `bert_embedding` here in MXNet.
csharma commented on issue #16721: GPU is not enabled for mxnet based word
embeddings.
URL:
https://github.com/apache/incubator-mxnet/issues/16721#issuecomment-549541198
Add this line,
from bert_embedding import BertEmbedding
Yes, the laptop I am using has GPU support with 2
sxjscience commented on issue #16721: GPU is not enabled for mxnet based word
embeddings.
URL:
https://github.com/apache/incubator-mxnet/issues/16721#issuecomment-549538072
@csharma Did the machine you are using have GPU support? Also, the python
code you provided is not runnable.
sxjscience commented on issue #16705: Dropout inconsistency bug
URL:
https://github.com/apache/incubator-mxnet/issues/16705#issuecomment-549534705
@DickJC123 You may see that I've manually set `cudnn_off=True`. Also, I
think https://github.com/apache/incubator-mxnet/pull/16532 will solve
sxjscience commented on issue #16705: Dropout inconsistency bug
URL:
https://github.com/apache/incubator-mxnet/issues/16705#issuecomment-549533626
@DickJC123 The answer should be different because these two dropouts should
share the same internal random number generator and the random
csharma opened a new issue #16721: GPU is not enabled for mxnet based word
embeddings.
URL: https://github.com/apache/incubator-mxnet/issues/16721
Hi,
bert_embedding = BertEmbedding(mx.gpu(0))
causes the following error.
Exception has occurred: MXNetError
[15:02:22]
DickJC123 closed issue #16670: cuDNN RNN dtype_with_fallback_ calc needs update
URL: https://github.com/apache/incubator-mxnet/issues/16670
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DickJC123 commented on issue #16705: Dropout inconsistency bug
URL:
https://github.com/apache/incubator-mxnet/issues/16705#issuecomment-549520723
What behavior do we expect from a model that has two Dropouts, where no
seeds have been set explicitly in advance? Are the dropout patterns
stu1130 commented on issue #16670: cuDNN RNN dtype_with_fallback_ calc needs
update
URL:
https://github.com/apache/incubator-mxnet/issues/16670#issuecomment-549518502
@DickJC123 do you think we can close the issue?
My though is that there are two things in the issue, first one was
nickguletskii commented on issue #16718: Cleaner API for utilizing all GPUs if
available
URL:
https://github.com/apache/incubator-mxnet/issues/16718#issuecomment-549517741
I think it would be better to introduce a separate function called
`mxnet.all_gpus(): List[mxnet.Context]`, instead
ddavydenko commented on issue #1: Disable python logging verbose from C++
implementation
URL:
https://github.com/apache/incubator-mxnet/issues/1#issuecomment-549515989
@mxnet-label-bot add [Feature request]
This is
ddavydenko commented on issue #1: Disable python logging verbose from C++
implementation
URL:
https://github.com/apache/incubator-mxnet/issues/1#issuecomment-549515804
@deHsien , this would be a feature request as currently this not supported.
@mxnet-label-bot add ["Feature
ddavydenko commented on issue #16677: What mode does PRELU support?
URL:
https://github.com/apache/incubator-mxnet/issues/16677#issuecomment-549515021
@mxnet-label-bot add [Question]
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DickJC123 commented on issue #16131: Fix for duplicate subgraph inputs/outputs
URL: https://github.com/apache/incubator-mxnet/pull/16131#issuecomment-549511847
I have not begun to work on this, and my plate is fairly full, so someone
else can jump in if they want. The issue can be fixed
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aaronmarkham commented on issue #16719: Updated landing page logos (adding Dely)
URL: https://github.com/apache/incubator-mxnet/pull/16719#issuecomment-549480769
Flaky test failure... reported and restarted the test.
This is
aaronmarkham commented on issue #16238: [Flaky]
test_convolution_multiple_streams
URL:
https://github.com/apache/incubator-mxnet/issues/16238#issuecomment-549480414
Failed here:
reminisce commented on a change in pull request #16716: [Numpy][WIP] Fix
collect_params().zero_grad() in gluon numpy interface
URL: https://github.com/apache/incubator-mxnet/pull/16716#discussion_r342187118
##
File path: python/mxnet/gluon/parameter.py
##
@@ -904,7
sxjscience commented on a change in pull request #16716: [Numpy][WIP] Fix
collect_params().zero_grad() in gluon numpy interface
URL: https://github.com/apache/incubator-mxnet/pull/16716#discussion_r342182321
##
File path: python/mxnet/gluon/parameter.py
##
@@ -904,7
marcoabreu commented on a change in pull request #16477: added more tests to
verify support for large vector
URL: https://github.com/apache/incubator-mxnet/pull/16477#discussion_r342182341
##
File path: tests/nightly/test_large_vector.py
##
@@ -708,6 +708,174 @@ def
sxjscience commented on a change in pull request #16716: [Numpy][WIP] Fix
collect_params().zero_grad() in gluon numpy interface
URL: https://github.com/apache/incubator-mxnet/pull/16716#discussion_r342181564
##
File path: python/mxnet/gluon/parameter.py
##
@@ -904,7
reminisce commented on a change in pull request #16716: [Numpy][WIP] Fix
collect_params().zero_grad() in gluon numpy interface
URL: https://github.com/apache/incubator-mxnet/pull/16716#discussion_r342179463
##
File path: python/mxnet/gluon/parameter.py
##
@@ -904,7
reminisce commented on a change in pull request #16716: [Numpy][WIP] Fix
collect_params().zero_grad() in gluon numpy interface
URL: https://github.com/apache/incubator-mxnet/pull/16716#discussion_r342178728
##
File path: python/mxnet/gluon/parameter.py
##
@@ -904,7
reminisce commented on a change in pull request #16638: [WIP] [Numpy] Add
sampling method for bernoulli
URL: https://github.com/apache/incubator-mxnet/pull/16638#discussion_r342175246
##
File path: python/mxnet/symbol/numpy_extension/random.py
##
@@ -0,0 +1,57 @@
+#
anirudh2290 commented on issue #16612: Compilation fails in master Cuda 10.1
GCC 7.4 Ubuntu 18.04
URL:
https://github.com/apache/incubator-mxnet/issues/16612#issuecomment-549426440
@hubutui Looks like your issue is unrelated. I don't see issue related to
ThreadLocalStore in your log.
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hubutui commented on issue #16612: Compilation fails in master Cuda 10.1 GCC
7.4 Ubuntu 18.04
URL:
https://github.com/apache/incubator-mxnet/issues/16612#issuecomment-549326491
I got a similar issue with ArchLinux, cuda 10.1.243, gcc 8.3.0, opencv
4.1.2. Here is my build log.
artor1os commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341986855
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -3386,6 +3386,95 @@ def argmin(a,
artor1os commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341986579
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -5320,6 +5320,92 @@ def argmin(a,
artor1os commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341986777
##
File path: python/mxnet/ndarray/numpy/_op.py
##
@@ -3386,6 +3386,95 @@ def argmin(a,
artor1os commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341986704
##
File path: python/mxnet/numpy/multiarray.py
##
@@ -5320,6 +5320,92 @@ def argmin(a,
artor1os commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341986397
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -3355,6 +3355,94 @@ def argmin(a,
artor1os commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341986171
##
File path: python/mxnet/symbol/numpy/_symbol.py
##
@@ -3355,6 +3355,94 @@ def argmin(a,
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patriczhao pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 94aab39 [Quantization] Enhance gluon quantization API (#16695)
add bb6305d [MKLDNN] support
pengzhao-intel merged pull request #16710: [MKLDNN] support mkldnn gelu
URL: https://github.com/apache/incubator-mxnet/pull/16710
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fumingxing2015 closed issue #16562: Same model but different time-consuming
URL: https://github.com/apache/incubator-mxnet/issues/16562
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haojin2 commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341962676
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File path: src/operator/numpy/np_broadcast_reduce_op.h
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@@ -398,6 +399,353 @@ void
haojin2 commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341962909
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File path: src/operator/numpy/np_broadcast_reduce_op.h
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@@ -398,6 +399,353 @@ void
haojin2 commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341961812
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File path: src/operator/numpy/np_broadcast_reduce_op.h
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@@ -398,6 +399,353 @@ void
haojin2 commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341961427
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File path: tests/python/unittest/test_numpy_op.py
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@@ -597,6 +597,98 @@ def
haojin2 commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341961190
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File path: tests/python/unittest/test_numpy_op.py
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@@ -597,6 +597,98 @@ def
haojin2 commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341960828
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File path: src/operator/numpy/np_broadcast_reduce_op_value.cc
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@@ -249,6 +250,76 @@ inline
haojin2 commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341960103
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File path: src/operator/numpy/np_broadcast_reduce_op.h
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@@ -398,6 +399,353 @@ void
haojin2 commented on a change in pull request #16720: [Numpy] Implement numpy
operator 'average'
URL: https://github.com/apache/incubator-mxnet/pull/16720#discussion_r341959031
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -38,7 +38,8 @@
'argmin',
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