reminisce commented on issue #16850: [Numpy] expand_dims throws delay_alloc
error
URL:
https://github.com/apache/incubator-mxnet/issues/16850#issuecomment-555379679
@TaoLv #16837 only deals with zero-dim case, while here it's zero-size which
is different.
haojin2 commented on issue #16357: Numpy Operator Inconsistency
URL:
https://github.com/apache/incubator-mxnet/issues/16357#issuecomment-555378703
Issues with `np.transpose` and `np.split` are fixed, removing those parts
from the issue.
TaoLv commented on issue #16850: [Numpy] expand_dims throws delay_alloc error
URL:
https://github.com/apache/incubator-mxnet/issues/16850#issuecomment-555378036
MKL-DNN path has been fixed by
https://github.com/apache/incubator-mxnet/pull/16837.
leezu commented on issue #16846: Backport #16810
URL: https://github.com/apache/incubator-mxnet/pull/16846#issuecomment-555376129
@ptrendx CI passes. Please merge when you're ready.
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reminisce commented on issue #16850: [Numpy] expand_dims throws delay_alloc
error
URL:
https://github.com/apache/incubator-mxnet/issues/16850#issuecomment-555375375
`ExpandDimEx` needs to skip zero-size cases. I will send in a PR for the fix.
stu1130 opened a new issue #16850: [Numpy] expand_dims throws delay_alloc error
URL: https://github.com/apache/incubator-mxnet/issues/16850
MXNet version: pip install mxnet-mkl --pre as of today
```
>>> import mxnet
>>> from mxnet import np, npx
>>> npx.set_np()
>>> a =
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haojin2 opened a new pull request #16849: Fix a few np issues
URL: https://github.com/apache/incubator-mxnet/pull/16849
## Description ##
Fix #16616, #16413 and adding `np.shape` operator to imperative mode.
## Checklist ##
### Essentials ###
Please feel free to remove
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apeforest pushed a change to branch benchmark
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from d4bd7cf fix atol for test_preloaded_multi_sgd (#16356)
add 13dcedd initial commit lamb
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discard 2f90294 adding API doc for Lamb Phase 1 and 2
discard eadd5de fixing base lamb optimizer
discard
cjolivier01 commented on a change in pull request #12502: [NGRAPH] MXNet -
nGraph initial integration
URL: https://github.com/apache/incubator-mxnet/pull/12502#discussion_r347739066
##
File path: src/operator/subgraph/partition_graph.cc
##
@@ -646,9 +731,19 @@ void
apeforest commented on issue #16845: MXNet 1.6.0 performance regression
URL:
https://github.com/apache/incubator-mxnet/issues/16845#issuecomment-555337859
@jonatan1626 is currently running the experiments again on multiple
machines. Earlier he was running them on the same instance and we
roywei edited a comment on issue #16798: Add unoptimized symbol to executor for
sharing
URL: https://github.com/apache/incubator-mxnet/pull/16798#issuecomment-555334483
Thanks for the fix! The unit test in this PR passed on my local, but I'm
still getting the error on keras-mxnet side.
roywei edited a comment on issue #16798: Add unoptimized symbol to executor for
sharing
URL: https://github.com/apache/incubator-mxnet/pull/16798#issuecomment-555334483
The unit test in this PR passed on my local, but I'm still getting the
error on keras-mxnet side.
What
roywei edited a comment on issue #16798: Add unoptimized symbol to executor for
sharing
URL: https://github.com/apache/incubator-mxnet/pull/16798#issuecomment-555334483
The unit test passed in this PR on my local, but I'm still getting the error
on keras-mxnet side.
What
roywei edited a comment on issue #16798: Add unoptimized symbol to executor for
sharing
URL: https://github.com/apache/incubator-mxnet/pull/16798#issuecomment-555334483
The unit test passed in this PR on my local, but I'm still getting the error
on keras-mxnet side.
What
roywei edited a comment on issue #16798: Add unoptimized symbol to executor for
sharing
URL: https://github.com/apache/incubator-mxnet/pull/16798#issuecomment-555334483
The unit test passed in this PR on my local, but I'm still getting the error
on keras-mxnet side.
What keras-mxnet
roywei edited a comment on issue #16798: Add unoptimized symbol to executor for
sharing
URL: https://github.com/apache/incubator-mxnet/pull/16798#issuecomment-555334483
The unit test passed in this PR on my local, but I'm still getting the error
on keras-mxnet side, while I'm not sure if
haojin2 closed issue #16842: Flaky Test: test_operator_gpu.test_np_linalg_svd
URL: https://github.com/apache/incubator-mxnet/issues/16842
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haojin2 commented on issue #16842: Flaky Test:
test_operator_gpu.test_np_linalg_svd
URL:
https://github.com/apache/incubator-mxnet/issues/16842#issuecomment-555335094
Not a flaky test, closing now.
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apeforest pushed a change to branch benchmark
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from eadd5de fixing base lamb optimizer
add 2f90294 adding API doc for Lamb Phase 1 and 2
No new
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from eadd5de fixing base lamb optimizer
add 2f90294 adding API doc for Lamb Phase 1 and 2
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apeforest pushed a change to branch benchmark
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from 259dd7b initial commit lamb optimizer
add eadd5de fixing base lamb optimizer
No new revisions
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from 35839bc Make mrcnn_mask_target arg mask_size a 2d tuple (#16567)
add 259dd7b initial commit
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discard 5214c75 adding API doc for Lamb Phase 1 and 2
discard 5eb3de9 fixing base lamb optimizer
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from 35839bc Make mrcnn_mask_target arg mask_size a 2d tuple (#16567)
add 5eb3de9 fixing base lamb
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discard 90a863f fixing base lamb optimizer
discard 9104933 adding API doc for Lamb Phase 1 and 2
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from 9104933 adding API doc for Lamb Phase 1 and 2
add 90a863f fixing base lamb optimizer
No new
ZhennanQin commented on issue #16772: [MKLDNN] Use MKLDNNRun
URL: https://github.com/apache/incubator-mxnet/pull/16772#issuecomment-555327947
@ciyongch Yes. MKLDNNRun has 2 versions. One is for unary ops, and other one
is for ops with multiple inputs & outputs. elemwise_add will use the
pengzhao-intel commented on issue #16184: Add large tensor nightly tests for
MKL-DNN operators
URL: https://github.com/apache/incubator-mxnet/pull/16184#issuecomment-555304377
@apeforest @marcoabreu please take a review for this PR again.
We'd better close this one soon since our
leezu opened a new issue #16848: Flaky test_np_mixed_precision_binary_funcs
URL: https://github.com/apache/incubator-mxnet/issues/16848
Flaky test on Windows GPU in 1.6.0 branch.
```
FAIL: test_operator_gpu.test_np_mixed_precision_binary_funcs
pengzhao-intel commented on issue #16847: [v1.6.x] Backport #16837 into v1.6.x
URL: https://github.com/apache/incubator-mxnet/pull/16847#issuecomment-555284397
retrigger?
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pengzhao-intel commented on issue #16830: CI error in unix gpu
test_quantization_gpu.test_quantized_conv
URL:
https://github.com/apache/incubator-mxnet/issues/16830#issuecomment-555284023
@xinyu-intel could you help take a look ?
samskalicky edited a comment on issue #16828: Missing imports in
python/mxnet/contrib/__init__.py
URL:
https://github.com/apache/incubator-mxnet/issues/16828#issuecomment-555283879
Work around is to do:
```
from mxnet.contrib import amp
```
In the user's code.
samskalicky commented on issue #16828: Missing imports in
python/mxnet/contrib/__init__.py
URL:
https://github.com/apache/incubator-mxnet/issues/16828#issuecomment-555283879
Work around is to do:
```
from mxnet.contrib import amp
```
ptrendx commented on issue #16845: MXNet 1.6.0 performance regression
URL:
https://github.com/apache/incubator-mxnet/issues/16845#issuecomment-555283579
@apeforest Could somebody do a bisection when this got introduced?
This
ptrendx commented on issue #16845: MXNet 1.6.0 performance regression
URL:
https://github.com/apache/incubator-mxnet/issues/16845#issuecomment-555283280
Ok, so I looked into it and I can kind of see 1.6 being slower, but on the
other hand this script is really not a great way of testing
haojin2 closed issue #13563: moveaxis doesn't support negative indices
URL: https://github.com/apache/incubator-mxnet/issues/13563
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haojin2 commented on issue #13563: moveaxis doesn't support negative indices
URL:
https://github.com/apache/incubator-mxnet/issues/13563#issuecomment-555281385
Closing the issue since it's been fixed, also in the new `mxnet.np` module:
```Python
>>> from mxnet import np
>>> x =
zixuanweeei commented on issue #16548: Stacked RNNCell and FusedRNNCell may
give inconsistent results with GPU context
URL:
https://github.com/apache/incubator-mxnet/issues/16548#issuecomment-555280074
> @lanking520 assign @apeforest
> @zixuanweeei any update on this issue?
I
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haojin2 commented on issue #15626: Concat of empty array and array with data
crashes Mxnet
URL:
https://github.com/apache/incubator-mxnet/issues/15626#issuecomment-555271716
due to the in-activity, closing the issue due to fixed in `mxnet.np`
haojin2 closed issue #15626: Concat of empty array and array with data crashes
Mxnet
URL: https://github.com/apache/incubator-mxnet/issues/15626
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haojin2 commented on issue #16101: [Feature Request] np.where compatible
operator
URL:
https://github.com/apache/incubator-mxnet/issues/16101#issuecomment-555271159
#16829 merged, closing the PR.
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haojin2 closed issue #16101: [Feature Request] np.where compatible operator
URL: https://github.com/apache/incubator-mxnet/issues/16101
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haojin2 edited a comment on issue #16101: [Feature Request] np.where
compatible operator
URL:
https://github.com/apache/incubator-mxnet/issues/16101#issuecomment-555271159
#16829 merged, closing the issue.
This is an
vrakesh commented on issue #16799: Python nightly build pipeline broken
URL:
https://github.com/apache/incubator-mxnet/issues/16799#issuecomment-555257758
I will look into this
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roywei commented on issue #16604: RNN op with dropout cannot use fixed seed on
CPU
URL:
https://github.com/apache/incubator-mxnet/issues/16604#issuecomment-555247401
suggest to use workaround provided in issue for now, proper fix depends on
fix on dropout operator randomness on both CPU
larroy commented on issue #16499: mxnet/tensorRT docker image coredumps
URL:
https://github.com/apache/incubator-mxnet/issues/16499#issuecomment-555228360
ok
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haojin2 closed issue #16475: CI saw test_numpy_op.py:test_np_sum failure
URL: https://github.com/apache/incubator-mxnet/issues/16475
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haojin2 commented on issue #16475: CI saw test_numpy_op.py:test_np_sum failure
URL:
https://github.com/apache/incubator-mxnet/issues/16475#issuecomment-555226445
#16436 merged with atol bumped up, not seeing any new reports thus closing
the issue now.
ivansmith7795 commented on issue #15181: [Feature Request] Support ONNX export
of MultiBox operators
URL:
https://github.com/apache/incubator-mxnet/issues/15181#issuecomment-555221800
That makes 3, is there any manual work around for this?
ptrendx commented on issue #16836: Fix InferAttr/InferShapeAttr not calling
inference for all nodes in a graph
URL: https://github.com/apache/incubator-mxnet/pull/16836#issuecomment-555216443
@reminisce Actually, the required change to `Transpose` seems simple, I will
do it in this PR.
ptrendx edited a comment on issue #16836: Fix InferAttr/InferShapeAttr not
calling inference for all nodes in a graph
URL: https://github.com/apache/incubator-mxnet/pull/16836#issuecomment-555202627
@junrushao1994 The failure in
`test_contrib_control_flow.test_while_loop_simple_forward`
ptrendx commented on issue #16836: Fix InferAttr/InferShapeAttr not calling
inference for all nodes in a graph
URL: https://github.com/apache/incubator-mxnet/pull/16836#issuecomment-555213981
@samskalicky @apeforest FYI, see last 2 comments.
ptrendx commented on issue #16836: Fix InferAttr/InferShapeAttr not calling
inference for all nodes in a graph
URL: https://github.com/apache/incubator-mxnet/pull/16836#issuecomment-555213868
@reminisce The failure in `test_numpy_op.test_np_transpose` in this PR is a
legitimate bug, where
ptrendx commented on issue #16836: Fix InferAttr/InferShapeAttr not calling
inference for all nodes in a graph
URL: https://github.com/apache/incubator-mxnet/pull/16836#issuecomment-555202627
@junrushao1994 The failure in
`test_contrib_control_flow.test_while_loop_simple_forward` test in
samskalicky commented on issue #16499: mxnet/tensorRT docker image coredumps
URL:
https://github.com/apache/incubator-mxnet/issues/16499#issuecomment-555184550
@lanking520 assign @larroy
Pedro, please add to the backlog for CI enhancements to build the docker
containers
samskalicky commented on issue #16548: Stacked RNNCell and FusedRNNCell may
give inconsistent results with GPU context
URL:
https://github.com/apache/incubator-mxnet/issues/16548#issuecomment-555183559
@lanking520 assign @apeforest
@zixuanweeei any update on this issue?
samskalicky commented on issue #16560: It is easy to crash MXNet when tensor
goes larger
URL:
https://github.com/apache/incubator-mxnet/issues/16560#issuecomment-555183065
@lanking520 assign @ChaiBapchya
This is an
samskalicky commented on issue #16590: import_onnx.py parser for onnx opset >=
9 has bug
URL:
https://github.com/apache/incubator-mxnet/issues/16590#issuecomment-555182777
@lanking520 assign @oorqueda
This is an
samskalicky commented on issue #16591: Module.predict() produces only one
output meanwhile Module.forward() and then Module.get_outputs() creates
multiple (as it should)
URL:
https://github.com/apache/incubator-mxnet/issues/16591#issuecomment-555182397
@lanking520 assign @anirudh2290
samskalicky commented on issue #16600: Clojure test failure: Could not transfer
artifact com.fasterxml.jackson.core
URL:
https://github.com/apache/incubator-mxnet/issues/16600#issuecomment-555181076
@lanking520 assign @larroy
Pedro please add this to the backlog for CI enhancements to
samskalicky commented on issue #16604: RNN op with dropout cannot use fixed
seed on CPU
URL:
https://github.com/apache/incubator-mxnet/issues/16604#issuecomment-555180391
@lanking520 assign @zixuanweeei
Any update on this?
samskalicky commented on issue #16620: Incompatible input shape
URL:
https://github.com/apache/incubator-mxnet/issues/16620#issuecomment-555180086
@lanking520 assign @lanking520
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samskalicky commented on issue #16647: Set range in NDArray from Python list
fails
URL:
https://github.com/apache/incubator-mxnet/issues/16647#issuecomment-555179394
@lanking520 assign @szha
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samskalicky commented on issue #16633: Python Symbol Package Docs Missing
URL:
https://github.com/apache/incubator-mxnet/issues/16633#issuecomment-555179709
@lanking520 assign @TEChopra1000
@mxnet-label-bot remove [Bug]
samskalicky commented on issue #16653: [Bug][Numpy] The data type of power is
not correct
URL:
https://github.com/apache/incubator-mxnet/issues/16653#issuecomment-555179013
@lanking520 assign @reminisce
This is an
samskalicky commented on issue #16656: When I use different size inference,
self.reshape() Error in `/usr/bin/python': free(): invalid pointer:
0x7f9a484890a0
URL:
https://github.com/apache/incubator-mxnet/issues/16656#issuecomment-555178778
@IMJerryChen can you please post steps to
samskalicky commented on issue #16661: Not Work C++ Mxnet and opencv integration
URL:
https://github.com/apache/incubator-mxnet/issues/16661#issuecomment-555178241
@zhreshold any idea?
Heres an example:
https://discuss.gluon.ai/t/topic/7951
samskalicky commented on issue #16661: Not Work C++ Mxnet and opencv integration
URL:
https://github.com/apache/incubator-mxnet/issues/16661#issuecomment-555177413
@mxnet-label-bot remove [Bug]
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samskalicky commented on issue #16661: Not Work C++ Mxnet and opencv integration
URL:
https://github.com/apache/incubator-mxnet/issues/16661#issuecomment-555177484
@mxnet-label-bot add [Question]
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larroy commented on issue #16705: Dropout inconsistency bug
URL:
https://github.com/apache/incubator-mxnet/issues/16705#issuecomment-555176984
Hi
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access2rohit commented on issue #16803:
src/storage/./pooled_storage_manager.h:157: cudaMalloc failed: out of memory
URL:
https://github.com/apache/incubator-mxnet/issues/16803#issuecomment-555176875
@ymzx can you share reproductions steps and scripts instead of screenshot
larroy commented on issue #16753: fail to build using docker
URL:
https://github.com/apache/incubator-mxnet/issues/16753#issuecomment-555176767
I'm quite short with time but I can try to chime in.
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samskalicky commented on issue #16741: Error detecting C++11 and C++14
URL:
https://github.com/apache/incubator-mxnet/issues/16741#issuecomment-555176593
@lanking520 assign @larroy
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samskalicky commented on issue #16789: [Numpy] Transpose does not support
kAddTo and kNullOp
URL:
https://github.com/apache/incubator-mxnet/issues/16789#issuecomment-555175411
@lanking520 assign @ChaiBapchya
This is an
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haoj pushed a change to branch master
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from 94e7ba7 Python 2 compatibility fix in base.py
add 135c42c Add OP diag [numpy] (#16786)
No new
samskalicky commented on issue #16799: Python nightly build pipeline broken
URL:
https://github.com/apache/incubator-mxnet/issues/16799#issuecomment-555175010
@lanking520 assign @vrakesh
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samskalicky commented on issue #16802: Python API Links broken
URL:
https://github.com/apache/incubator-mxnet/issues/16802#issuecomment-555174664
@lanking520 assign @TEChopra1000
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haojin2 merged pull request #16786: Add OP diag [numpy]
URL: https://github.com/apache/incubator-mxnet/pull/16786
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samskalicky commented on issue #16803:
src/storage/./pooled_storage_manager.h:157: cudaMalloc failed: out of memory
URL:
https://github.com/apache/incubator-mxnet/issues/16803#issuecomment-555174468
@lanking520 assign @access2rohit
samskalicky commented on issue #16806: Segfault in SetDepedency
URL:
https://github.com/apache/incubator-mxnet/issues/16806#issuecomment-555173230
@lanking520 assign @zhreshold
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samskalicky commented on issue #16816: Infer Type issue when dtype passed is
None
URL:
https://github.com/apache/incubator-mxnet/issues/16816#issuecomment-555172912
@lanking520 assign @anirudh2290
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samskalicky commented on issue #16828: Missing imports in
python/mxnet/contrib/__init__.py
URL:
https://github.com/apache/incubator-mxnet/issues/16828#issuecomment-555172683
@lanking520 assign @samskalicky
This is an
lanking520 commented on issue #16838: USE_NVRTC -> ENABLE_CUDA_RTC to fix maven
build. Add compile-guard to fusion.
URL: https://github.com/apache/incubator-mxnet/pull/16838#issuecomment-555164661
Honestly speaking, there is no backend build difference between pip build
and scala for
jonatan1626 commented on issue #16845: MXNet 1.6.0 performance regression
URL:
https://github.com/apache/incubator-mxnet/issues/16845#issuecomment-555154955
@KellenSunderland So I noticed that the instances I was running on have CUDA
10.0 so I assumed that when running it would default to
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aaronmarkham pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
new 937072c Bump the
eric-haibin-lin closed issue #15738: AMP results in higher loss
URL: https://github.com/apache/incubator-mxnet/issues/15738
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lanking520 commented on issue #16809: When build mxnet from source via cmake,
if I set `USE_SSE` to `0`, target `mshadow` is still built with SSE option on.
URL:
https://github.com/apache/incubator-mxnet/issues/16809#issuecomment-555142958
@szha
ptrendx commented on issue #16845: MXNet 1.6.0 performance regression
URL:
https://github.com/apache/incubator-mxnet/issues/16845#issuecomment-555123555
I will look into this today and see if I can repro it.
This is an
ptrendx commented on issue #16838: USE_NVRTC -> ENABLE_CUDA_RTC to fix maven
build. Add compile-guard to fusion.
URL: https://github.com/apache/incubator-mxnet/pull/16838#issuecomment-555121986
> LGTM, but I'm thinking about backwards compatibility - should the change
of the build flag
sshearn edited a comment on issue #16620: Incompatible input shape
URL:
https://github.com/apache/incubator-mxnet/issues/16620#issuecomment-555027589
Here's the full model:
[model.zip](https://github.com/apache/incubator-mxnet/files/3858917/model.zip)
Here's the code for the
sshearn edited a comment on issue #16620: Incompatible input shape
URL:
https://github.com/apache/incubator-mxnet/issues/16620#issuecomment-555027589
Here's the full model:
[model.zip](https://github.com/apache/incubator-mxnet/files/3858917/model.zip)
Here's the code for the
sshearn edited a comment on issue #16620: Incompatible input shape
URL:
https://github.com/apache/incubator-mxnet/issues/16620#issuecomment-555027589
Here's the full model:
[model.zip](https://github.com/apache/incubator-mxnet/files/3858917/model.zip)
Here's the code for the
sshearn commented on issue #16620: Incompatible input shape
URL:
https://github.com/apache/incubator-mxnet/issues/16620#issuecomment-555027589
Here's the code for the attached model (it's the same as above but the shape
is slightly different):
`List context = new ArrayList<>();
sshearn edited a comment on issue #16620: Incompatible input shape
URL:
https://github.com/apache/incubator-mxnet/issues/16620#issuecomment-555027589
Here's the full model:
[model.zip](https://github.com/apache/incubator-mxnet/files/3858917/model.zip)
Here's the code for the
sshearn edited a comment on issue #16620: Incompatible input shape
URL:
https://github.com/apache/incubator-mxnet/issues/16620#issuecomment-555027589
Here's the code for the attached model (it's the same as above but the shape
is slightly different):
```List context = new
This is an automated email from the ASF dual-hosted git repository.
zhasheng pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 8cc4c16 [Numpy] Random.normal() with backward (#16330)
add 94e7ba7 Python 2 compatibility fix in
This is an automated email from the ASF dual-hosted git repository.
zhasheng pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 8cc4c16 [Numpy] Random.normal() with backward (#16330)
add 94e7ba7 Python 2 compatibility fix in
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