reminisce commented on a change in pull request #16124: [numpy] [tvm] operator
true_divide
URL: https://github.com/apache/incubator-mxnet/pull/16124#discussion_r324447425
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File path: src/operator/numpy/np_true_divide.cc
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@@ -41,19 +46,97 @@ bool TrueDivideType(const nn
reminisce commented on a change in pull request #16124: [numpy] [tvm] operator
true_divide
URL: https://github.com/apache/incubator-mxnet/pull/16124#discussion_r324447266
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File path: contrib/tvmop/core/umath.py
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@@ -0,0 +1,112 @@
+ # Licensed to the Apache Software Fou
reminisce commented on a change in pull request #16124: [numpy] [tvm] operator
true_divide
URL: https://github.com/apache/incubator-mxnet/pull/16124#discussion_r324447266
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File path: contrib/tvmop/core/umath.py
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@@ -0,0 +1,112 @@
+ # Licensed to the Apache Software Fou
reminisce closed pull request #16116: np.ndarray.repeat support & doc for
np.repeat
URL: https://github.com/apache/incubator-mxnet/pull/16116
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reminisce commented on issue #16116: np.ndarray.repeat support & doc for
np.repeat
URL: https://github.com/apache/incubator-mxnet/pull/16116#issuecomment-531537737
Fixed in https://github.com/apache/incubator-mxnet/pull/16157
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anirudh2290 pushed a commit to branch asf-site
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gyshi commented on a change in pull request #15815: Numpy add numpy op hanning,
hamming, blackman
URL: https://github.com/apache/incubator-mxnet/pull/15815#discussion_r324442879
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -2432,3 +2433,249 @@ def indices(dimensio
comaniac commented on a change in pull request #15815: Numpy add numpy op
hanning, hamming, blackman
URL: https://github.com/apache/incubator-mxnet/pull/15815#discussion_r324441208
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File path: python/mxnet/ndarray/numpy/_op.py
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@@ -2432,3 +2433,249 @@ def indices(dimen
stu1130 commented on a change in pull request #14582: Fix randomized relu
URL: https://github.com/apache/incubator-mxnet/pull/14582#discussion_r324439400
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File path: tests/python/unittest/test_operator.py
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@@ -862,6 +863,35 @@ def fselu_grad(grad, x, y):
check_
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astonz pushed a commit to branch master
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new e9e267e Fix remaining errors reported
astonzhang merged pull request #16157: Fix remaining errors reported by D2L
URL: https://github.com/apache/incubator-mxnet/pull/16157
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sxjscience edited a comment on issue #16168: group norm tests are failing
URL:
https://github.com/apache/incubator-mxnet/issues/16168#issuecomment-531417355
Increase the atol_eps by https://github.com/apache/incubator-mxnet/pull/16169
---
QueensGambit edited a comment on issue #16173: Saving and loading of cudNN
optimization and graph fusion
URL:
https://github.com/apache/incubator-mxnet/issues/16173#issuecomment-531484595
@mxnet-label-bot add [Backend, CUDA, Call for Contribution, MKLDNN, ONNX,
Feature request]
-
QueensGambit edited a comment on issue #16173: Saving and loading of cudNN
optimization and graph fusion
URL:
https://github.com/apache/incubator-mxnet/issues/16173#issuecomment-531484595
@mxnet-label-bot add [Backend, CUDA, Call for Contribution, MKLDNN, ONNX]
---
QueensGambit edited a comment on issue #16173: Saving and loading of cudNN
optimization and graph fusion
URL:
https://github.com/apache/incubator-mxnet/issues/16173#issuecomment-531484595
@mxnet-label-bot add [Backend, CUDA, MKLDNN, ONNX]
--
QueensGambit commented on issue #16173: Saving and loading of cudNN
optimization and graph fusion
URL:
https://github.com/apache/incubator-mxnet/issues/16173#issuecomment-531484619
ping @KellenSunderland @ThomasDelteil
This
QueensGambit edited a comment on issue #16173: Saving and loading of cudNN
optimization and graph fusion
URL:
https://github.com/apache/incubator-mxnet/issues/16173#issuecomment-531484595
@mxnet-label-bot add [Backend, Call for Contribution, CUDA, MKLDNN, ONNX]
---
QueensGambit opened a new issue #16173: Saving and loading of cudNN
optimization and graph fusion
URL: https://github.com/apache/incubator-mxnet/issues/16173
Hello everyone,
there are several tasks which are executed repeatedly on binding MXNet
graphs and result in the same outcome
QueensGambit commented on issue #16173: Saving and loading of cudNN
optimization and graph fusion
URL:
https://github.com/apache/incubator-mxnet/issues/16173#issuecomment-531484595
@mxnet-label-bot add [Backend, Call for Contribution, CUDA, MKLDNN, ONNX]
ping @KellenSunderland @ThomasDe
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iblis pushed a change to branch ib/jl-cmake-build
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from 8c73cd9 submodule update
add 3ef9cf0 USE_JULIA_BLAS
No new revisions were added by this up
kshitij12345 commented on a change in pull request #15611: [MXNET-978] n-th
order gradient test support.
URL: https://github.com/apache/incubator-mxnet/pull/15611#discussion_r324425209
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@ -302,28 +322,72 @@ d
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iblis pushed a change to branch ib/jl-cmake-build
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from 6f27f0e build with Julia's private libopenblas
add 8c73cd9 submodule update
No new revisio
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iblis pushed a change to branch ib/jl-cmake-build
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from 82a8b6e julia: migrate build process to cmake
add 6f27f0e build with Julia's private libope
matteosal edited a comment on issue #16143: Failure of MKL-DNN Convolution from
C API
URL:
https://github.com/apache/incubator-mxnet/issues/16143#issuecomment-531476543
This second patch fixes the last example, thanks.
As for the python scripts, this one should match the first C example
matteosal commented on issue #16143: Failure of MKL-DNN Convolution from C API
URL:
https://github.com/apache/incubator-mxnet/issues/16143#issuecomment-531476543
This one fixes the last example, thanks.
As for the python scripts, this one should match the first C example (except
for dif
apeforest commented on issue #15575: CMake will modify the content in
3rdparty/dmlc-core
URL:
https://github.com/apache/incubator-mxnet/issues/15575#issuecomment-531459235
@hcho3 Could you please file a PR to upgrade dmlc-core module in MXNet? Let
me know if you need help. Thanks!
--
apeforest commented on issue #15611: [MXNET-978] n-th order gradient test
support.
URL: https://github.com/apache/incubator-mxnet/pull/15611#issuecomment-531458284
Ping @sxjscience for review.
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apeforest commented on a change in pull request #15611: [MXNET-978] n-th order
gradient test support.
URL: https://github.com/apache/incubator-mxnet/pull/15611#discussion_r324415885
##
File path: tests/python/unittest/test_higher_order_grad.py
##
@@ -302,28 +322,72 @@ def
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