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zoeygxy commented on issue #15942: Refines NDArray indexing and adds numpy
ndarray indexing [DO NOT MERGE YET]
URL: https://github.com/apache/incubator-mxnet/pull/15942#issuecomment-524221129
Fixed SliceAxisGrad_ and now supports subscription on zero-size shapes (eg.
x = np.ones((3, 0)))
hgt312 commented on a change in pull request #15973: Numpy . implement numpy
op exp2 with tvm
URL: https://github.com/apache/incubator-mxnet/pull/15973#discussion_r317022543
##
File path: contrib/tvmop/basic/ufunc.py
##
@@ -98,3 +99,71 @@ def backward_vadd_gpu(dtype, ndim
leezu opened a new pull request #15985: [Python] Remove
requests_failed_to_import handling
URL: https://github.com/apache/incubator-mxnet/pull/15985
We already required requests package. If a user is missing it nevertheless,
fail
with a standard error message instead of some hard to und
mseth10 commented on a change in pull request #15886: [WIP] Graph Partition API
URL: https://github.com/apache/incubator-mxnet/pull/15886#discussion_r317061250
##
File path: tests/python/unittest/test_subgraph_op.py
##
@@ -146,11 +146,135 @@ def get_executor(sym, subgraph_b
HaoLiuHust closed issue #12806: when use python3 to write recodeio, "can't
concat str to bytes" will happen
URL: https://github.com/apache/incubator-mxnet/issues/12806
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leezu opened a new pull request #15986: [DOC] Link tensor_inspector_tutorial.md
from FAQ index; Delete develop_and_hack.md
URL: https://github.com/apache/incubator-mxnet/pull/15986
## Description ##
Currently only linked from develop_and_hack.md and add_op_in_backend.md
"Develop a
leezu commented on issue #15986: [DOC] Link tensor_inspector_tutorial.md from
FAQ index; Delete develop_and_hack.md
URL: https://github.com/apache/incubator-mxnet/pull/15986#issuecomment-524325169
FYI @Zha0q1
This is an a
leezu commented on issue #14983: Bug with arange inside a foreach
URL:
https://github.com/apache/incubator-mxnet/issues/14983#issuecomment-524326612
You can use the following workaround to make forward shape inference work
for the use-case (thus working around the lack of reverse shape inf
leezu edited a comment on issue #14983: Bug with arange inside a foreach
URL:
https://github.com/apache/incubator-mxnet/issues/14983#issuecomment-524326612
You may be able to use the following workaround to work around the lack of
reverse shape inference
``` python
ze
TaoLv commented on issue #15948: Fix a memory misalignment in topk operator
URL: https://github.com/apache/incubator-mxnet/pull/15948#issuecomment-524328959
Thank you for the fix, @apeforest . Will this be picked to the v1.5.x branch?
TaoLv commented on issue #15964: remove Julia cat image for license issue
URL: https://github.com/apache/incubator-mxnet/pull/15964#issuecomment-524329500
@roywei Could you please re-trigger the CI? Seems the status was not
reflected to this page.
--
TaoLv commented on issue #15803: [v1.5.x] Fix _copy_to on MKLDNN backend
(#15637)
URL: https://github.com/apache/incubator-mxnet/pull/15803#issuecomment-524330313
@juliusshufan Could you please re-trigger the CI? Thanks.
This
NRauschmayr closed issue #15978: mx.nd.tile: too many reduction axes
URL: https://github.com/apache/incubator-mxnet/issues/15978
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NRauschmayr commented on issue #15978: mx.nd.tile: too many reduction axes
URL:
https://github.com/apache/incubator-mxnet/issues/15978#issuecomment-524364855
closing the issue because the user already opened one:
https://github.com/apache/incubator-mxnet/issues/15958
-
gyshi opened a new pull request #15987: Numpy add numpy op rot90
URL: https://github.com/apache/incubator-mxnet/pull/15987
## Description ##
(https://docs.scipy.org/doc/numpy/reference/generated/numpy.rot90.html)
## Checklist ##
### Essentials ###
Please feel free to remove i
ChaiBapchya commented on issue #15757: [Discussion] Unified performance tests
and dashboard
URL:
https://github.com/apache/incubator-mxnet/issues/15757#issuecomment-524378166
@wuxun-zhang For p50,90 and 99 numbers, I've this PR
https://github.com/apache/incubator-mxnet/pull/15953
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apeforest pushed a change to branch v1.5.x
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 6f7fbc8 fix license issues (#15806) (#15860)
add 42746bc Fix a memory misalignment in topk operato
samskalicky commented on a change in pull request #15886: Graph Partition API
URL: https://github.com/apache/incubator-mxnet/pull/15886#discussion_r317222835
##
File path: src/operator/subgraph/subgraph_property.h
##
@@ -221,6 +222,12 @@ class SubgraphProperty {
return
apeforest commented on issue #15948: Fix a memory misalignment in topk operator
URL: https://github.com/apache/incubator-mxnet/pull/15948#issuecomment-524391345
@TaoLv I have cherry-picked it to v1.5.x (commit hash:
42746bc73e8bcb75bfcadd1398e6f71bc170fa10)
Somehow the v1.5.x branch
apeforest closed pull request #14251: [WIP] Fix unary operator ceil/floor/trunc
when data type is integer
URL: https://github.com/apache/incubator-mxnet/pull/14251
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larroy commented on a change in pull request #15531: [MXNET-978] Higher Order
Gradient Support `arctan`, `arctanh`, `radians`.
URL: https://github.com/apache/incubator-mxnet/pull/15531#discussion_r317224729
##
File path: src/operator/tensor/util/node_op_util.h
##
@@ -0,0 +
larroy edited a comment on issue #15808: Add option to choose between OMP
implementations
URL: https://github.com/apache/incubator-mxnet/pull/15808#issuecomment-524392968
Can you guys review again? I made the suggested changes.
--
larroy commented on issue #15808: Add option to choose between OMP
implementations
URL: https://github.com/apache/incubator-mxnet/pull/15808#issuecomment-524392968
Can you guys review again?
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apeforest commented on a change in pull request #15808: Add option to choose
between OMP implementations
URL: https://github.com/apache/incubator-mxnet/pull/15808#discussion_r317228643
##
File path: CMakeLists.txt
##
@@ -431,10 +433,14 @@ endif()
# ---[ OpenMP
if(USE_O
apeforest commented on a change in pull request #15808: Add option to choose
between OMP implementations
URL: https://github.com/apache/incubator-mxnet/pull/15808#discussion_r317228948
##
File path: CMakeLists.txt
##
@@ -16,15 +16,15 @@ if(EXISTS
${CMAKE_CURRENT_SOURCE_DI
apeforest commented on issue #15808: Add option to choose between OMP
implementations
URL: https://github.com/apache/incubator-mxnet/pull/15808#issuecomment-524397493
@larroy I thought the suggested change is to use multi-selection for
USE_OPENMP not adding additional variable:
It w
apeforest removed a comment on issue #15808: Add option to choose between OMP
implementations
URL: https://github.com/apache/incubator-mxnet/pull/15808#issuecomment-524397493
@larroy I thought the suggested change is to use multi-selection for
USE_OPENMP not adding additional variable:
mseth10 commented on issue #15886: Graph Partition API
URL: https://github.com/apache/incubator-mxnet/pull/15886#issuecomment-524397993
@ZhennanQin ping for review
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anirudhacharya commented on issue #15560: Add fp16 support for topk
URL: https://github.com/apache/incubator-mxnet/pull/15560#issuecomment-524399420
> Yes, I do have a solution, but it is not quite completed yet.
>
> 1. I added the `np.float16` testing to `test_ndarray.py:test_order`
mseth10 commented on a change in pull request #15886: Graph Partition API
URL: https://github.com/apache/incubator-mxnet/pull/15886#discussion_r317238730
##
File path: src/operator/subgraph/subgraph_property.h
##
@@ -221,6 +222,12 @@ class SubgraphProperty {
return nul
reminisce commented on a change in pull request #15984: [DO NOT REVIEW] [DO NOT
MERGE] General reduce compute for tvm ops and TVM version of sum
URL: https://github.com/apache/incubator-mxnet/pull/15984#discussion_r317239519
##
File path: src/operator/contrib/tvmop/reduce.cc
##
reminisce commented on a change in pull request #15984: [DO NOT REVIEW] [DO NOT
MERGE] General reduce compute for tvm ops and TVM version of sum
URL: https://github.com/apache/incubator-mxnet/pull/15984#discussion_r317236658
##
File path: contrib/tvmop/basic/reduce.py
##
@
reminisce commented on a change in pull request #15984: [DO NOT REVIEW] [DO NOT
MERGE] General reduce compute for tvm ops and TVM version of sum
URL: https://github.com/apache/incubator-mxnet/pull/15984#discussion_r317236946
##
File path: contrib/tvmop/basic/reduce.py
##
@
reminisce commented on a change in pull request #15984: [DO NOT REVIEW] [DO NOT
MERGE] General reduce compute for tvm ops and TVM version of sum
URL: https://github.com/apache/incubator-mxnet/pull/15984#discussion_r317236329
##
File path: contrib/tvmop/basic/reduce.py
##
@
mseth10 commented on a change in pull request #15886: Graph Partition API
URL: https://github.com/apache/incubator-mxnet/pull/15886#discussion_r317239988
##
File path: tests/python/unittest/test_subgraph_op.py
##
@@ -146,11 +146,135 @@ def get_executor(sym, subgraph_backend
larroy commented on a change in pull request #15808: Add option to choose
between OMP implementations
URL: https://github.com/apache/incubator-mxnet/pull/15808#discussion_r317241672
##
File path: CMakeLists.txt
##
@@ -431,10 +433,14 @@ endif()
# ---[ OpenMP
if(USE_OPEN
szha merged pull request #15985: [Python] Remove requests_failed_to_import
handling
URL: https://github.com/apache/incubator-mxnet/pull/15985
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zhasheng pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from d8c2d85 update support MKLDNN BN conditions (#15870)
add 717d883 Remove requests_failed_to_import h
reminisce commented on a change in pull request #15984: [DO NOT REVIEW] [DO NOT
MERGE] General reduce compute for tvm ops and TVM version of sum
URL: https://github.com/apache/incubator-mxnet/pull/15984#discussion_r317239519
##
File path: src/operator/contrib/tvmop/reduce.cc
##
eric-haibin-lin commented on issue #14836: Refactor AGInfo and Imperative
URL: https://github.com/apache/incubator-mxnet/pull/14836#issuecomment-524419172
LGTM
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sxjscience commented on a change in pull request #15560: Add fp16 support for
topk
URL: https://github.com/apache/incubator-mxnet/pull/15560#discussion_r317255526
##
File path: src/operator/tensor/sort_op-inl.cuh
##
@@ -227,18 +251,18 @@ SortByKeyImpl(mshadow::Tensor keys,
sxjscience commented on a change in pull request #15560: Add fp16 support for
topk
URL: https://github.com/apache/incubator-mxnet/pull/15560#discussion_r317256691
##
File path: tests/python/unittest/test_operator.py
##
@@ -4372,6 +4347,45 @@ def get_large_matrix():
drivanov commented on a change in pull request #15560: Add fp16 support for topk
URL: https://github.com/apache/incubator-mxnet/pull/15560#discussion_r317257895
##
File path: src/operator/tensor/sort_op-inl.cuh
##
@@ -227,18 +251,18 @@ SortByKeyImpl(mshadow::Tensor keys,
sxjscience commented on a change in pull request #15560: Add fp16 support for
topk
URL: https://github.com/apache/incubator-mxnet/pull/15560#discussion_r317258904
##
File path: src/operator/tensor/sort_op-inl.cuh
##
@@ -227,18 +251,18 @@ SortByKeyImpl(mshadow::Tensor keys,
drivanov commented on a change in pull request #15560: Add fp16 support for topk
URL: https://github.com/apache/incubator-mxnet/pull/15560#discussion_r317257895
##
File path: src/operator/tensor/sort_op-inl.cuh
##
@@ -227,18 +251,18 @@ SortByKeyImpl(mshadow::Tensor keys,
reminisce merged pull request #15831: Numpy-compatible element-wise unary
operators upstream
URL: https://github.com/apache/incubator-mxnet/pull/15831
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reminisce pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from 717d883 Remove requests_failed_to_import handling
add 8d0b895 np elemwise unary ops upstream (#158
anirudhacharya commented on a change in pull request #15560: Add fp16 support
for topk
URL: https://github.com/apache/incubator-mxnet/pull/15560#discussion_r317262979
##
File path: tests/python/unittest/test_operator.py
##
@@ -4372,6 +4347,45 @@ def get_large_matrix():
anirudhacharya commented on a change in pull request #15560: Add fp16 support
for topk
URL: https://github.com/apache/incubator-mxnet/pull/15560#discussion_r317262979
##
File path: tests/python/unittest/test_operator.py
##
@@ -4372,6 +4347,45 @@ def get_large_matrix():
roywei merged pull request #15964: remove Julia cat image for license issue
URL: https://github.com/apache/incubator-mxnet/pull/15964
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roywei pushed a change to branch master
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from 8d0b895 np elemwise unary ops upstream (#15831)
add 1eb1925 remove Julia cat image for license issue
samskalicky commented on issue #15969: [WIP] Partitioning Gluon HybridBlocks
URL: https://github.com/apache/incubator-mxnet/pull/15969#issuecomment-524430581
Waiting on #15886 to be merged to re-use optimize_for API call on symbol
haojin2 commented on a change in pull request #15855: [Numpy] cumprod
URL: https://github.com/apache/incubator-mxnet/pull/15855#discussion_r317273874
##
File path: contrib/tvmop/core/fromnumeric.py
##
@@ -0,0 +1,203 @@
+# Licensed to the Apache Software Foundation (ASF) und
haojin2 commented on a change in pull request #15902: Numpy add numpy op roll
URL: https://github.com/apache/incubator-mxnet/pull/15902#discussion_r317276993
##
File path: src/operator/numpy/np_roll_op.cc
##
@@ -0,0 +1,103 @@
+/*
+ * Licensed to the Apache Software Foundati
haojin2 commented on a change in pull request #15902: Numpy add numpy op roll
URL: https://github.com/apache/incubator-mxnet/pull/15902#discussion_r317276993
##
File path: src/operator/numpy/np_roll_op.cc
##
@@ -0,0 +1,103 @@
+/*
+ * Licensed to the Apache Software Foundati
sxjscience merged pull request #15560: Add fp16 support for topk
URL: https://github.com/apache/incubator-mxnet/pull/15560
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sxjscience closed issue #14125: FP16 support for topK
URL: https://github.com/apache/incubator-mxnet/issues/14125
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haojin2 commented on a change in pull request #15902: Numpy add numpy op roll
URL: https://github.com/apache/incubator-mxnet/pull/15902#discussion_r317277304
##
File path: src/operator/numpy/np_roll_op.cc
##
@@ -0,0 +1,103 @@
+/*
Review comment:
This op seems to belon
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sxjscience pushed a change to branch master
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from 1eb1925 remove Julia cat image for license issue (#15964)
add cba7c4e Add fp16 support for topk (
ChaiBapchya commented on issue #15967: Tracking Large Tensor vector test
coverage
URL:
https://github.com/apache/incubator-mxnet/issues/15967#issuecomment-524446296
From my PR #15941
SequenceLast
```
==
ERROR:
ChaiBapchya commented on issue #14174: CI fails for unix cpu Static build CPU
14.04
URL:
https://github.com/apache/incubator-mxnet/issues/14174#issuecomment-524446743
Again #15941
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-15
apeforest commented on a change in pull request #15811: [MXNET-891] Support
tuple of scales in upsample operator
URL: https://github.com/apache/incubator-mxnet/pull/15811#discussion_r317290135
##
File path: src/operator/nn/upsampling-inl.h
##
@@ -48,16 +48,18 @@ enum UpSam
apeforest commented on a change in pull request #15811: [MXNET-891] Support
tuple of scales in upsample operator
URL: https://github.com/apache/incubator-mxnet/pull/15811#discussion_r317295370
##
File path: src/operator/nn/upsampling-inl.h
##
@@ -84,6 +86,23 @@ struct UpSa
apeforest commented on a change in pull request #15811: [MXNET-891] Support
tuple of scales in upsample operator
URL: https://github.com/apache/incubator-mxnet/pull/15811#discussion_r317295616
##
File path: tests/python/unittest/test_operator.py
##
@@ -1599,14 +1607,21 @@
apeforest commented on a change in pull request #14836: Refactor AGInfo and
Imperative
URL: https://github.com/apache/incubator-mxnet/pull/14836#discussion_r317296584
##
File path: src/imperative/imperative.cc
##
@@ -124,29 +124,34 @@ void Imperative::MarkVariables(
c
apeforest commented on a change in pull request #14836: Refactor AGInfo and
Imperative
URL: https://github.com/apache/incubator-mxnet/pull/14836#discussion_r317297099
##
File path: src/imperative/imperative.cc
##
@@ -316,181 +312,223 @@ std::vector Imperative::Backward(
apeforest commented on a change in pull request #14836: Refactor AGInfo and
Imperative
URL: https://github.com/apache/incubator-mxnet/pull/14836#discussion_r317297602
##
File path: src/imperative/imperative.cc
##
@@ -316,181 +312,223 @@ std::vector Imperative::Backward(
apeforest commented on a change in pull request #14836: Refactor AGInfo and
Imperative
URL: https://github.com/apache/incubator-mxnet/pull/14836#discussion_r317297894
##
File path: src/imperative/imperative.cc
##
@@ -316,181 +308,220 @@ std::vector Imperative::Backward(
access2rohit commented on a change in pull request #15943: Added tests to
verify Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317299711
##
File path: tests/nightly/test_large_vector.py
##
@@ -33,6 +35,29
access2rohit commented on a change in pull request #15943: Added tests to
verify Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317299759
##
File path: tests/nightly/test_large_vector.py
##
@@ -33,6 +35,29
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benhe2011 commented on a change in pull request #15811: [MXNET-891] Support
tuple of scales in upsample operator
URL: https://github.com/apache/incubator-mxnet/pull/15811#discussion_r317305265
##
File path: src/operator/nn/upsampling-inl.h
##
@@ -84,6 +86,23 @@ struct UpSa
benhe2011 commented on a change in pull request #15811: [MXNET-891] Support
tuple of scales in upsample operator
URL: https://github.com/apache/incubator-mxnet/pull/15811#discussion_r317305547
##
File path: src/operator/nn/upsampling-inl.h
##
@@ -48,16 +48,18 @@ enum UpSam
ChaiBapchya edited a comment on issue #15967: Tracking Large Tensor vector test
coverage
URL:
https://github.com/apache/incubator-mxnet/issues/15967#issuecomment-524446296
From my PR #15941
SequenceLast
```
==
apeforest commented on a change in pull request #15943: Added tests to verify
Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317309189
##
File path: python/mxnet/test_utils.py
##
@@ -262,6 +262,19 @@ def a
apeforest commented on a change in pull request #15943: Added tests to verify
Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317309985
##
File path: tests/nightly/test_large_array.py
##
@@ -19,7 +19,7 @@
apeforest commented on a change in pull request #15943: Added tests to verify
Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317310057
##
File path: tests/nightly/test_large_vector.py
##
@@ -18,13 +18,15 @
apeforest commented on a change in pull request #15943: Added tests to verify
Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317310175
##
File path: tests/nightly/test_large_vector.py
##
@@ -33,6 +35,273 @
apeforest commented on a change in pull request #15943: Added tests to verify
Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317310275
##
File path: tests/nightly/test_large_vector.py
##
@@ -18,13 +18,15 @
apeforest commented on a change in pull request #15943: Added tests to verify
Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317310400
##
File path: tests/nightly/test_large_vector.py
##
@@ -33,6 +35,273 @
apeforest commented on a change in pull request #15943: Added tests to verify
Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317310379
##
File path: tests/nightly/test_large_vector.py
##
@@ -33,6 +35,273 @
apeforest commented on a change in pull request #15943: Added tests to verify
Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317310366
##
File path: tests/nightly/test_large_vector.py
##
@@ -33,6 +35,273 @
apeforest commented on a change in pull request #15943: Added tests to verify
Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317310429
##
File path: tests/nightly/test_large_vector.py
##
@@ -33,6 +35,273 @
apeforest commented on a change in pull request #15953: Add Median,p50,p99 to
python profiler
URL: https://github.com/apache/incubator-mxnet/pull/15953#discussion_r317311170
##
File path: benchmark/opperf/utils/common_utils.py
##
@@ -108,12 +112,19 @@ def _prepare_op_bench
access2rohit commented on a change in pull request #15943: Added tests to
verify Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317311976
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File path: python/mxnet/test_utils.py
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@@ -262,6 +262,19 @@ de
access2rohit commented on a change in pull request #15943: Added tests to
verify Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317312251
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File path: tests/nightly/test_large_array.py
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@@ -19,7 +19,7 @
apeforest commented on a change in pull request #15943: Added tests to verify
Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317309189
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File path: python/mxnet/test_utils.py
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@@ -262,6 +262,19 @@ def a
access2rohit commented on a change in pull request #15943: Added tests to
verify Large Vector Support for initial set of ops
URL: https://github.com/apache/incubator-mxnet/pull/15943#discussion_r317311976
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File path: python/mxnet/test_utils.py
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@@ -262,6 +262,19 @@ de
IvyBazan commented on issue #15914: Correct ONNX documentation
URL: https://github.com/apache/incubator-mxnet/pull/15914#issuecomment-524479094
LGTM, thanks for the fix!
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samskalicky commented on a change in pull request #15811: [MXNET-891] Support
tuple of scales in upsample operator
URL: https://github.com/apache/incubator-mxnet/pull/15811#discussion_r317319361
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File path: src/operator/nn/upsampling-inl.h
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@@ -48,16 +48,18 @@ enum UpS
samskalicky commented on a change in pull request #15811: [MXNET-891] Support
tuple of scales in upsample operator
URL: https://github.com/apache/incubator-mxnet/pull/15811#discussion_r317319555
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File path: src/operator/nn/upsampling-inl.h
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@@ -84,6 +86,21 @@ struct Up
samskalicky commented on a change in pull request #15811: [MXNET-891] Support
tuple of scales in upsample operator
URL: https://github.com/apache/incubator-mxnet/pull/15811#discussion_r317319555
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File path: src/operator/nn/upsampling-inl.h
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@@ -84,6 +86,21 @@ struct Up
ChaiBapchya commented on a change in pull request #15953: Add Median,p50,p99 to
python profiler
URL: https://github.com/apache/incubator-mxnet/pull/15953#discussion_r317319651
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File path: benchmark/opperf/utils/common_utils.py
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@@ -108,12 +112,19 @@ def _prepare_op_ben
samskalicky commented on issue #15811: [MXNET-891] Support tuple of scales in
upsample operator
URL: https://github.com/apache/incubator-mxnet/pull/15811#issuecomment-524481100
Is there a test somewhere that you test upsample using a scalar instead of a
tuple?
rondogency commented on a change in pull request #15886: Graph Partition API
URL: https://github.com/apache/incubator-mxnet/pull/15886#discussion_r317321471
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File path: tests/python/unittest/test_subgraph_op.py
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@@ -146,11 +146,137 @@ def get_executor(sym, subgraph_back
IvyBazan commented on issue #15869: [DOC] Fix doc for nn.Embedding, nn.Dense
and nd.Embedding
URL: https://github.com/apache/incubator-mxnet/pull/15869#issuecomment-524482563
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