[GitHub] [incubator-mxnet] marcoabreu commented on a change in pull request #15550: Infra to use tvm write op kernels

marcoabreu commented on a change in pull request #15550: Infra to use tvm write op kernels URL: https://github.com/apache/incubator-mxnet/pull/15550#discussion_r304759303 ## File path: Makefile ## @@ -589,6 +603,30 @@ $(DMLC_CORE)/libdmlc.a: DMLCCORE DMLCCORE: + c

[GitHub] [incubator-mxnet] marcoabreu commented on a change in pull request #15550: Infra to use tvm write op kernels

marcoabreu commented on a change in pull request #15550: Infra to use tvm write op kernels URL: https://github.com/apache/incubator-mxnet/pull/15550#discussion_r304758981 ## File path: Makefile ## @@ -589,6 +603,30 @@ $(DMLC_CORE)/libdmlc.a: DMLCCORE DMLCCORE: + c

[GitHub] [incubator-mxnet] pengzhao-intel commented on issue #15584: Add omp parallel optimization for _contrib_BilinearReisze2D

pengzhao-intel commented on issue #15584: Add omp parallel optimization for _contrib_BilinearReisze2D URL: https://github.com/apache/incubator-mxnet/pull/15584#issuecomment-512689080 cc @zhreshold This is an automated messag

[GitHub] [incubator-mxnet] sandeep-krishnamurthy commented on a change in pull request #15541: [Opperf] Filter out deprecated ops

sandeep-krishnamurthy commented on a change in pull request #15541: [Opperf] Filter out deprecated ops URL: https://github.com/apache/incubator-mxnet/pull/15541#discussion_r304756333 ## File path: benchmark/opperf/utils/op_registry_utils.py ## @@ -55,6 +57,11 @@ def _selec

[GitHub] [incubator-mxnet] apeforest commented on a change in pull request #14836: Refactor AGInfo and Imperative

apeforest commented on a change in pull request #14836: Refactor AGInfo and Imperative URL: https://github.com/apache/incubator-mxnet/pull/14836#discussion_r304750002 ## File path: src/imperative/imperative.cc ## @@ -316,181 +312,223 @@ std::vector Imperative::Backward(

[GitHub] [incubator-mxnet] apeforest commented on a change in pull request #14836: Refactor AGInfo and Imperative

apeforest commented on a change in pull request #14836: Refactor AGInfo and Imperative URL: https://github.com/apache/incubator-mxnet/pull/14836#discussion_r304749955 ## File path: src/imperative/imperative.cc ## @@ -316,181 +312,223 @@ std::vector Imperative::Backward(

[GitHub] [incubator-mxnet] apeforest commented on a change in pull request #14836: Refactor AGInfo and Imperative

apeforest commented on a change in pull request #14836: Refactor AGInfo and Imperative URL: https://github.com/apache/incubator-mxnet/pull/14836#discussion_r304746790 ## File path: src/imperative/imperative.cc ## @@ -124,29 +124,34 @@ void Imperative::MarkVariables( c

[GitHub] [incubator-mxnet] apeforest commented on a change in pull request #14836: Refactor AGInfo and Imperative

apeforest commented on a change in pull request #14836: Refactor AGInfo and Imperative URL: https://github.com/apache/incubator-mxnet/pull/14836#discussion_r304746913 ## File path: src/imperative/imperative.cc ## @@ -124,29 +124,34 @@ void Imperative::MarkVariables( c

[GitHub] [incubator-mxnet] apeforest commented on a change in pull request #14836: Refactor AGInfo and Imperative

apeforest commented on a change in pull request #14836: Refactor AGInfo and Imperative URL: https://github.com/apache/incubator-mxnet/pull/14836#discussion_r304746773 ## File path: src/imperative/imperative.cc ## @@ -124,29 +124,34 @@ void Imperative::MarkVariables( c

[GitHub] [incubator-mxnet] wkcn commented on issue #15539: fix normalize mean error bug

wkcn commented on issue #15539: fix normalize mean error bug URL: https://github.com/apache/incubator-mxnet/pull/15539#issuecomment-512675671 Hi @nicklhy , could you please add an unittest in [`test_image_normalize`](https://github.com/apache/incubator-mxnet/blob/master/tests/python/unittes

[GitHub] [incubator-mxnet] wkcn removed a comment on issue #15539: fix normalize mean error bug

wkcn removed a comment on issue #15539: fix normalize mean error bug URL: https://github.com/apache/incubator-mxnet/pull/15539#issuecomment-512674598 Hi, @ChaiBapchya . I think it is suitable to merge this PR : ) What do you think? ---

[GitHub] [incubator-mxnet] wkcn commented on issue #15539: fix normalize mean error bug

wkcn commented on issue #15539: fix normalize mean error bug URL: https://github.com/apache/incubator-mxnet/pull/15539#issuecomment-512674598 Hi, @ChaiBapchya . I think it is suitable to merge this PR : ) What do you think? ---

[GitHub] [incubator-mxnet] wuxun-zhang opened a new pull request #15584: Add omp parallel optimization for _contrib_BilinearReisze2D

wuxun-zhang opened a new pull request #15584: Add omp parallel optimization for _contrib_BilinearReisze2D URL: https://github.com/apache/incubator-mxnet/pull/15584 ## Description ## This PR aims to improve the performance of `_contrib_BilinearReisze2D` via omp parallel optimization.

[incubator-mxnet] branch master updated: refine Nano setup directions (#15524)

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[GitHub] [incubator-mxnet] aaronmarkham merged pull request #15524: refine Nano setup directions

aaronmarkham merged pull request #15524: refine Nano setup directions URL: https://github.com/apache/incubator-mxnet/pull/15524 This is an automated message from the Apache Git Service. To respond to the message, please log o

[GitHub] [incubator-mxnet] iblis17 commented on issue #15568: julia: rename build env var `MXNET_HOME` to `MXNET_ROOT`

iblis17 commented on issue #15568: julia: rename build env var `MXNET_HOME` to `MXNET_ROOT` URL: https://github.com/apache/incubator-mxnet/pull/15568#issuecomment-512656970 okay, I added backward compatibility. This is an aut

[incubator-mxnet] branch ib/jl-mxnet-root-env updated (99283ca -> be780c5)

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[GitHub] [incubator-mxnet] mxnet-label-bot commented on issue #15583: forward error of mxnet-cu100 with version 1.4.1

mxnet-label-bot commented on issue #15583: forward error of mxnet-cu100 with version 1.4.1 URL: https://github.com/apache/incubator-mxnet/issues/15583#issuecomment-512653590 Hey, this is the MXNet Label Bot. Thank you for submitting the issue! I will try and suggest some labels so th

[GitHub] [incubator-mxnet] yiwuyao3863 opened a new issue #15583: forward error of mxnet-cu100 with version 1.4.1

yiwuyao3863 opened a new issue #15583: forward error of mxnet-cu100 with version 1.4.1 URL: https://github.com/apache/incubator-mxnet/issues/15583 When I run the CNN model (resnet50) on GPU with mxnet-cu100, the error occurs as below: Traceback (most recent call last): File "te

[GitHub] [incubator-mxnet] arcadiaphy edited a comment on issue #15574: fix naive engine for multi-threaded inference

arcadiaphy edited a comment on issue #15574: fix naive engine for multi-threaded inference URL: https://github.com/apache/incubator-mxnet/pull/15574#issuecomment-512649728 @apeforest @ZhennanQin @marcoabreu @anirudh2290 Multi-threaded inference is very common in deploying, so we need to

[GitHub] [incubator-mxnet] ruapehau opened a new issue #15582: [Feature Request] Add "lottery ticket" functionality

ruapehau opened a new issue #15582: [Feature Request] Add "lottery ticket" functionality URL: https://github.com/apache/incubator-mxnet/issues/15582 Are there any plans to add "lottery ticket" functionality to MxNet/Gluon? The following URL provides an explanation of the hypothesis:

[GitHub] [incubator-mxnet] mxnet-label-bot commented on issue #15582: [Feature Request] Add "lottery ticket" functionality

mxnet-label-bot commented on issue #15582: [Feature Request] Add "lottery ticket" functionality URL: https://github.com/apache/incubator-mxnet/issues/15582#issuecomment-512650442 Hey, this is the MXNet Label Bot. Thank you for submitting the issue! I will try and suggest some labels s

[GitHub] [incubator-mxnet] arcadiaphy edited a comment on issue #15574: fix naive engine for multi-threaded inference

arcadiaphy edited a comment on issue #15574: fix naive engine for multi-threaded inference URL: https://github.com/apache/incubator-mxnet/pull/15574#issuecomment-512649728 @apeforest @ZhennanQin @marcoabreu @anirudh2290 Multi-threaded inference is very common in deploying, so we need to

[GitHub] [incubator-mxnet] arcadiaphy edited a comment on issue #15574: fix naive engine for multi-threaded inference

arcadiaphy edited a comment on issue #15574: fix naive engine for multi-threaded inference URL: https://github.com/apache/incubator-mxnet/pull/15574#issuecomment-512649728 @apeforest @ZhennanQin @marcoabreu @anirudh2290 Multi-threaded inference is very common in deploying, so we need to

[GitHub] [incubator-mxnet] arcadiaphy commented on issue #15574: fix naive engine for multi-threaded inference

arcadiaphy commented on issue #15574: fix naive engine for multi-threaded inference URL: https://github.com/apache/incubator-mxnet/pull/15574#issuecomment-512649728 @apeforest @ZhennanQin @marcoabreu @anirudh2290 Multi-threaded inference is very common in deploying, so we need to have a

[GitHub] [incubator-mxnet] iblis17 commented on a change in pull request #15561: Julia path patch

iblis17 commented on a change in pull request #15561: Julia path patch URL: https://github.com/apache/incubator-mxnet/pull/15561#discussion_r304718766 ## File path: docs/mxdoc.py ## @@ -98,6 +98,8 @@ def build_mxnet(app): def build_julia_docs(app): """build Julia do

[GitHub] [incubator-mxnet] iblis17 commented on issue #15568: julia: rename build env var `MXNET_HOME` to `MXNET_ROOT`

iblis17 commented on issue #15568: julia: rename build env var `MXNET_HOME` to `MXNET_ROOT` URL: https://github.com/apache/incubator-mxnet/pull/15568#issuecomment-512646901 > Does this introduce some backwards incompatibility for any users? I can make it backward compatible in this P

[GitHub] [incubator-mxnet] reminisce commented on issue #15565: Numpy Fix tensordot bug

reminisce commented on issue #15565: Numpy Fix tensordot bug URL: https://github.com/apache/incubator-mxnet/pull/15565#issuecomment-512644030 Since the einsum PR is currently blocked due to this fix being not merged, the quickest way to unblock would be cherry-picking the commits into http

[GitHub] [incubator-mxnet] ZhennanQin commented on issue #15555: Bug or highly unintuitive and undocumented behaviour corrupting NDArray data(possibly race condition)[MKLDNN][C++]

ZhennanQin commented on issue #1: Bug or highly unintuitive and undocumented behaviour corrupting NDArray data(possibly race condition)[MKLDNN][C++] URL: https://github.com/apache/incubator-mxnet/issues/1#issuecomment-512635746 @kostayScr Thanks for providing this case. Confirm th

[GitHub] [incubator-mxnet] yuzhms commented on issue #15570: Can MXNet support locally-connected layer?

yuzhms commented on issue #15570: Can MXNet support locally-connected layer? URL: https://github.com/apache/incubator-mxnet/issues/15570#issuecomment-512632953 It's quite simple. If we have an input with shape `(BxC_inxHxW)`，we use a convolution kernel with stride =3, and we want t

[incubator-mxnet] branch master updated: make clojure api generator tests less brittle (#15579)

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[GitHub] [incubator-mxnet] reminisce commented on issue #15579: Make Clojure API Generator Tests Less Brittle

reminisce commented on issue #15579: Make Clojure API Generator Tests Less Brittle URL: https://github.com/apache/incubator-mxnet/pull/15579#issuecomment-512631713 Thanks for acting promptly. :) This is an automated message f

[GitHub] [incubator-mxnet] reminisce merged pull request #15579: Make Clojure API Generator Tests Less Brittle

reminisce merged pull request #15579: Make Clojure API Generator Tests Less Brittle URL: https://github.com/apache/incubator-mxnet/pull/15579 This is an automated message from the Apache Git Service. To respond to the messag

[GitHub] [incubator-mxnet] anirudh2290 commented on issue #15574: fix naive engine for multi-threaded inference

anirudh2290 commented on issue #15574: fix naive engine for multi-threaded inference URL: https://github.com/apache/incubator-mxnet/pull/15574#issuecomment-512630984 @marcoabreu @ZhennanQin I agree we need a bigger solution for the problem at hand.Having said that, Looks like the scope of

[GitHub] [incubator-mxnet] anirudh2290 commented on a change in pull request #15574: fix naive engine for multi-threaded inference

anirudh2290 commented on a change in pull request #15574: fix naive engine for multi-threaded inference URL: https://github.com/apache/incubator-mxnet/pull/15574#discussion_r304703082 ## File path: src/engine/naive_engine.cc ## @@ -238,7 +238,11 @@ class NaiveEngine final

[GitHub] [incubator-mxnet] larroy commented on a change in pull request #15550: Infra to use tvm write op kernels

larroy commented on a change in pull request #15550: Infra to use tvm write op kernels URL: https://github.com/apache/incubator-mxnet/pull/15550#discussion_r304702172 ## File path: src/operator/tvmop/op_module.cc ## @@ -0,0 +1,117 @@ +/* + * Licensed to the Apache Software

[GitHub] [incubator-mxnet] larroy commented on a change in pull request #15490: Utility to help developers debug operators: Tensor Inspector

larroy commented on a change in pull request #15490: Utility to help developers debug operators: Tensor Inspector URL: https://github.com/apache/incubator-mxnet/pull/15490#discussion_r304702065 ## File path: src/common/tensor_inspector.h ## @@ -0,0 +1,815 @@ +/* + * Licens

[GitHub] [incubator-mxnet] ZhennanQin commented on issue #15574: fix naive engine for multi-threaded inference

ZhennanQin commented on issue #15574: fix naive engine for multi-threaded inference URL: https://github.com/apache/incubator-mxnet/pull/15574#issuecomment-512627670 I just evaluated the thread-safe condition for `NaiveEngine`, and I agree with @marcoabreu that it's not enough with this poi

[GitHub] [incubator-mxnet] larroy commented on a change in pull request #15550: Infra to use tvm write op kernels

larroy commented on a change in pull request #15550: Infra to use tvm write op kernels URL: https://github.com/apache/incubator-mxnet/pull/15550#discussion_r304701579 ## File path: CMakeLists.txt ## @@ -734,6 +734,28 @@ if(USE_DIST_KVSTORE) list(APPEND mxnet_LINKER_LIBS

[GitHub] [incubator-mxnet] tqchen commented on a change in pull request #15550: Infra to use tvm write op kernels

tqchen commented on a change in pull request #15550: Infra to use tvm write op kernels URL: https://github.com/apache/incubator-mxnet/pull/15550#discussion_r304701103 ## File path: contrib/tvmop/opdef.py ## @@ -0,0 +1,106 @@ +# Licensed to the Apache Software Foundation (A

[GitHub] [incubator-mxnet] larroy commented on issue #14836: Refactor AGInfo and Imperative

larroy commented on issue #14836: Refactor AGInfo and Imperative URL: https://github.com/apache/incubator-mxnet/pull/14836#issuecomment-512624975 @mxnet-label-bot add [pr-awaiting-merge] This is an automated message from the A

[GitHub] [incubator-mxnet] larroy commented on issue #14836: Refactor AGInfo and Imperative

larroy commented on issue #14836: Refactor AGInfo and Imperative URL: https://github.com/apache/incubator-mxnet/pull/14836#issuecomment-512624863 @mxnet-label-bot remove [pr-awaiting-review] add [pr-awaiting-merge] This is an

[GitHub] [incubator-mxnet] yzhliu commented on a change in pull request #15550: Infra to use tvm write op kernels

yzhliu commented on a change in pull request #15550: Infra to use tvm write op kernels URL: https://github.com/apache/incubator-mxnet/pull/15550#discussion_r304697624 ## File path: Makefile ## @@ -589,6 +603,30 @@ $(DMLC_CORE)/libdmlc.a: DMLCCORE DMLCCORE: + cd $(

[GitHub] [incubator-mxnet] haojin2 opened a new pull request #15581: [DO NOT REVIEW] [DO NOT MERGE] Numpy-compatible Infra

haojin2 opened a new pull request #15581: [DO NOT REVIEW] [DO NOT MERGE] Numpy-compatible Infra URL: https://github.com/apache/incubator-mxnet/pull/15581 ## Description ## Infrastructure-related code of numpy-compatible project. ## Checklist ## ### Essentials ### Please feel

[GitHub] [incubator-mxnet] sxjscience commented on a change in pull request #15560: Add fp16 support for topk

sxjscience commented on a change in pull request #15560: Add fp16 support for topk URL: https://github.com/apache/incubator-mxnet/pull/15560#discussion_r304689263 ## File path: src/operator/tensor/ordering_op-inl.h ## @@ -420,8 +420,6 @@ void TopKImpl(const RunContext &ctx

[incubator-mxnet] 42/42: Fix build failure

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[incubator-mxnet] 28/42: [numpy] Misc fix for other chapters (#15332)

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[incubator-mxnet] 39/42: numpy eye op (#15282)

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[incubator-mxnet] 34/42: [numpy][doc-fix] mean, transpose, stack, split, log2, rint and radians (#15370)

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[incubator-mxnet] 32/42: [numpy] fix cython (#15418)

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[incubator-mxnet] 37/42: [Numpy] Numpy compatible argsort (#15501)

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[incubator-mxnet] 35/42: [numpy][doc-fix] zeros_like, linspace, reciprocal, square, and arcsin (#15377)

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[incubator-mxnet] 41/42: Numpy Tensordot Operator (#15349)

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[incubator-mxnet] 36/42: Numpy Trace (#15258)

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[incubator-mxnet] 38/42: fix memory override bug in multinomial (#15397)

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[incubator-mxnet] 40/42: [Numpy] Numpy hstack (#15302)

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[incubator-mxnet] 33/42: [numpy][doc-fix] sum, copy, tile, argmax, sign, log, degrees (#15382)

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[incubator-mxnet] 29/42: [numpy] Change d2l chapters cv and gan to use numpy (#15368)

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[incubator-mxnet] 27/42: numpy-compatible cumsum (#15309)

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[incubator-mxnet] 31/42: [numpy] Fix several places in numpy (#15398)

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[incubator-mxnet] 30/42: add doc for multinomial, dot, cumsum, clip, abs, exp, arctan (#15386)

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[incubator-mxnet] 10/42: Temporarily disable test_amp

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[incubator-mxnet] 18/42: fix for chapter6 conv nn (#15224)

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[incubator-mxnet] 17/42: Fix (#15188)

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[incubator-mxnet] 12/42: Numpy Unary Ops (#15010)

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[incubator-mxnet] 01/42: [Do not review] [Do not merge] New numpy-compatible sum (#14739)

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[incubator-mxnet] 06/42: [numpy] Some np ops for d2l (#14924)

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[incubator-mxnet] 08/42: [numpy] Refactor np module (example runs through) (#15055)

This is an automated email from the ASF dual-hosted git repository. haoj pushed a commit to branch numpy in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git commit 43f08cda6a476b77da4351e2034c0fcc6b7b54e5 Author: reminisce AuthorDate: Sun May 26 21:19:43 2019 -0700 [numpy]

[incubator-mxnet] 24/42: Numpy compatible max (#15161)

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[incubator-mxnet] 25/42: Numpy compatible multinomial (#15219)

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[incubator-mxnet] 26/42: Numpy compatible linspace (#15256)

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[incubator-mxnet] 23/42: [numpy] Fix d2l chapter 5 (#15264)

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[incubator-mxnet] 13/42: [numpy] Fix np branch after rebase (#15086)

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[incubator-mxnet] 16/42: [numpy] Fix d2l performance regression (#15173)

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[incubator-mxnet] 14/42: numpy concatenate (#15104)

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[incubator-mxnet] 09/42: Change np_compat to np_shape

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[incubator-mxnet] 20/42: fix for ch11 (#15244)

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[incubator-mxnet] 04/42: [numpy] Numpy dot (#14831)

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[incubator-mxnet] 15/42: [WIP][numpy] Fix for D2L Chapters 2/3/4 (#15139)

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[incubator-mxnet] 03/42: Enable np op compat check with name prefix (#14897)

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[incubator-mxnet] 21/42: Numpy-compatible split (#15049)

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[incubator-mxnet] 22/42: [numpy] [DO NOT MERGE] Fix d2l chapters 9 and 13 (#15246)

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[incubator-mxnet] 05/42: numpy-compatible mean (#14859)

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[incubator-mxnet] 11/42: Numpy-compatible stack (#15027)

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[incubator-mxnet] 19/42: [numpy] Fix d2l chapter8 (#15237)

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[incubator-mxnet] branch numpy updated (7da1a11 -> 76afc2d)

This is an automated email from the ASF dual-hosted git repository. haoj pushed a change to branch numpy in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git. discard 7da1a11 Fix build failure omit 255793a Numpy Tensordot Operator (#15349) omit 80476c3 [Numpy] Numpy

[GitHub] [incubator-mxnet] apeforest commented on issue #8966: NaiveEngine asynchronous error in multi-threading

apeforest commented on issue #8966: NaiveEngine asynchronous error in multi-threading URL: https://github.com/apache/incubator-mxnet/issues/8966#issuecomment-512612326 Why not just use the ThreadedEngine (default one) for multithreaded inference? ---

[GitHub] [incubator-mxnet] vrakesh commented on issue #15548: MXNet GPU build on CPU machine fails

vrakesh commented on issue #15548: MXNet GPU build on CPU machine fails URL: https://github.com/apache/incubator-mxnet/issues/15548#issuecomment-512611135 Can confirm #15551 fixed this. closing issue This is an automated mess

[GitHub] [incubator-mxnet] vrakesh closed issue #15548: MXNet GPU build on CPU machine fails

vrakesh closed issue #15548: MXNet GPU build on CPU machine fails URL: https://github.com/apache/incubator-mxnet/issues/15548 This is an automated message from the Apache Git Service. To respond to the message, please log on

[GitHub] [incubator-mxnet] pengzhao-intel commented on issue #15574: fix naive engine for multi-threaded inference

pengzhao-intel commented on issue #15574: fix naive engine for multi-threaded inference URL: https://github.com/apache/incubator-mxnet/pull/15574#issuecomment-512611155 @ZhennanQin could you help to take a review for the fix?

[GitHub] [incubator-mxnet] pengzhao-intel commented on issue #15576: Multi-threaded inference broken with MKLDNN

pengzhao-intel commented on issue #15576: Multi-threaded inference broken with MKLDNN URL: https://github.com/apache/incubator-mxnet/issues/15576#issuecomment-512610809 @wuxun-zhang @ZhennanQin please help take a look for this issue, thanks. ---

[GitHub] [incubator-mxnet] anirudhacharya commented on a change in pull request #15560: Add fp16 support for topk

anirudhacharya commented on a change in pull request #15560: Add fp16 support for topk URL: https://github.com/apache/incubator-mxnet/pull/15560#discussion_r304683317 ## File path: src/operator/tensor/ordering_op-inl.h ## @@ -420,8 +420,6 @@ void TopKImpl(const RunContext

[GitHub] [incubator-mxnet] Zha0q1 opened a new pull request #15580: update profiler tutorial

Zha0q1 opened a new pull request #15580: update profiler tutorial URL: https://github.com/apache/incubator-mxnet/pull/15580 ## Description ## fix nightly test failure and add a new section explains the implicit api rules ## Checklist ## ### Essentials ### Please feel free to

[GitHub] [incubator-mxnet] gigasquid commented on issue #15564: [DO NOT MERGE] Rebase numpy with master

gigasquid commented on issue #15564: [DO NOT MERGE] Rebase numpy with master URL: https://github.com/apache/incubator-mxnet/pull/15564#issuecomment-512600845 Here is the PR https://github.com/apache/incubator-mxnet/pull/15579

[GitHub] [incubator-mxnet] gigasquid opened a new pull request #15579: make Clojure api generator tests less brittle

gigasquid opened a new pull request #15579: make Clojure api generator tests less brittle URL: https://github.com/apache/incubator-mxnet/pull/15579 ## Description ## Address https://github.com/apache/incubator-mxnet/issues/15571 This makes the api generator tests less brittle. The

[GitHub] [incubator-mxnet] ptrendx commented on issue #15578: MXNet cu100 nightly release breaks Horovod integration tests

ptrendx commented on issue #15578: MXNet cu100 nightly release breaks Horovod integration tests URL: https://github.com/apache/incubator-mxnet/issues/15578#issuecomment-512594852 This should be fixed by #15551 This is an au

[GitHub] [incubator-mxnet] keerthanvasist commented on issue #15572: Hello, I'm a biginer in machine learning and I don't undertande how to create and use my own dataset. I have my list of values(info

keerthanvasist commented on issue #15572: Hello, I'm a biginer in machine learning and I don't undertande how to create and use my own dataset. I have my list of values(information of eye gaze fixation) and a label(left or right) for each value. I just what the network learn to associate each va

[GitHub] [incubator-mxnet] lanking520 commented on issue #15232: USE NNPACK compile error! FullyConnectedOp does not exists.

lanking520 commented on issue #15232: USE NNPACK compile error! FullyConnectedOp does not exists. URL: https://github.com/apache/incubator-mxnet/issues/15232#issuecomment-512593758 @kangkangRabbit Close this issue due to the inactivity. Please feel free to reopen if this problem persist.

[GitHub] [incubator-mxnet] lanking520 closed issue #15232: USE NNPACK compile error! FullyConnectedOp does not exists.

lanking520 closed issue #15232: USE NNPACK compile error! FullyConnectedOp does not exists. URL: https://github.com/apache/incubator-mxnet/issues/15232 This is an automated message from the Apache Git Service. To respond to

[GitHub] [incubator-mxnet] Zha0q1 edited a comment on issue #15556: mxnet profiler.dump error: MXNetError(py_str(_LIB.MXGetLastError()))

Zha0q1 edited a comment on issue #15556: mxnet profiler.dump error: MXNetError(py_str(_LIB.MXGetLastError())) URL: https://github.com/apache/incubator-mxnet/issues/15556#issuecomment-512593266 Hi @avivna , calling `dump()` with no parameter will effectively mark that no more write will be

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