[GitHub] mxnet-label-bot commented on issue #14201: Convert symbol tool Can't convert Softmaxwithloss from caffe to mxnet?

mxnet-label-bot commented on issue #14201: Convert symbol tool Can't convert Softmaxwithloss from caffe to mxnet? URL: https://github.com/apache/incubator-mxnet/issues/14201#issuecomment-465022574 Hey, this is the MXNet Label Bot. Thank you for submitting the issue! I will try and sug

[GitHub] Ian8888 opened a new issue #14201: Convert symbol tool Can't convert Softmaxwithloss from caffe to mxnet?

Ian opened a new issue #14201: Convert symbol tool Can't convert Softmaxwithloss from caffe to mxnet? URL: https://github.com/apache/incubator-mxnet/issues/14201 Traceback (most recent call last): File "/home/mnxnet-cv307/mxnet/tools/caffe_converter/convert_model.py", line 231, in

[incubator-mxnet-site] branch asf-site updated: Bump the publish timestamp.

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[GitHub] ZhennanQin commented on issue #14123: Add int8 data loader

ZhennanQin commented on issue #14123: Add int8 data loader URL: https://github.com/apache/incubator-mxnet/pull/14123#issuecomment-464998692 @anirudh2290 I tried to add FInplaceOption and FInplaceIdentity to quantize_v2 to optimize the case that input and ouput is int8. But failed with this

[GitHub] rajeshii commented on a change in pull request #14094: Enhance gpu quantization

rajeshii commented on a change in pull request #14094: Enhance gpu quantization URL: https://github.com/apache/incubator-mxnet/pull/14094#discussion_r257898523 ## File path: python/mxnet/contrib/quantization.py ## @@ -499,6 +499,9 @@ def quantize_model(sym, arg_params, aux_

[GitHub] anirudh2290 commented on issue #14123: Add int8 data loader

anirudh2290 commented on issue #14123: Add int8 data loader URL: https://github.com/apache/incubator-mxnet/pull/14123#issuecomment-464953439 Yes I would prefer that and I think it would be doable. Would need to take care of inplace optimization if input and output is int8.

[GitHub] mxnet-label-bot commented on issue #14199: example/image-classification/common/util.py get_gpu exception

mxnet-label-bot commented on issue #14199: example/image-classification/common/util.py get_gpu exception URL: https://github.com/apache/incubator-mxnet/issues/14199#issuecomment-464946985 Hey, this is the MXNet Label Bot. Thank you for submitting the issue! I will try and suggest some

[GitHub] DickJC123 opened a new pull request #14200: Bulked op segments to allow Variable nodes

DickJC123 opened a new pull request #14200: Bulked op segments to allow Variable nodes URL: https://github.com/apache/incubator-mxnet/pull/14200 ## Description ## Background: Operators are bulked into segments that define synchronization points between the cpu-based worker threads and t

[GitHub] tahouse opened a new issue #14199: example/image-classification/common/util.py get_gpu exception

tahouse opened a new issue #14199: example/image-classification/common/util.py get_gpu exception URL: https://github.com/apache/incubator-mxnet/issues/14199 Note: Providing complete information in the most concise form is the best way to get help. This issue template serves as the checklis

[GitHub] jwmueller edited a comment on issue #13859: Newly updated Makefile generate path errors

jwmueller edited a comment on issue #13859: Newly updated Makefile generate path errors URL: https://github.com/apache/incubator-mxnet/issues/13859#issuecomment-464936555 I also have the same issue as @chris-english and @lichen11 (see detailed outputs below) and `echo "USE_MKLDNN = 0" >>

[GitHub] jwmueller edited a comment on issue #13859: Newly updated Makefile generate path errors

jwmueller edited a comment on issue #13859: Newly updated Makefile generate path errors URL: https://github.com/apache/incubator-mxnet/issues/13859#issuecomment-464936555 I also have the same issue as @chris-english and @lichen11 (see detailed outputs below) and `echo "USE_MKLDNN = 0" >>

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[GitHub] lanking520 commented on issue #14191: About mxnet-tensorrt's problem between different mxnet version?

lanking520 commented on issue #14191: About mxnet-tensorrt's problem between different mxnet version? URL: https://github.com/apache/incubator-mxnet/issues/14191#issuecomment-464937539 @KellenSunderland Could you please take a look?

[GitHub] jwmueller commented on issue #13859: Newly updated Makefile generate path errors

jwmueller commented on issue #13859: Newly updated Makefile generate path errors URL: https://github.com/apache/incubator-mxnet/issues/13859#issuecomment-464936555 I also have the same issue as @chris-english and @lichen11 (see detailed outputs below) and `echo "USE_MKLDNN = 0" >> ./config

[GitHub] apeforest commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling

apeforest commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#discussion_r257860513 ## File path: tests/python/unittest/test_operator.py ## @@ -1491,17 +1491,30 @@ def chec

[GitHub] eric-haibin-lin commented on issue #14198: Dropout inference performance

eric-haibin-lin commented on issue #14198: Dropout inference performance URL: https://github.com/apache/incubator-mxnet/issues/14198#issuecomment-464935835 We can probably add a graph pass for bind(is_train=False). cc @szha -

[GitHub] ZhennanQin commented on a change in pull request #14150: Fix entropy for uint8

ZhennanQin commented on a change in pull request #14150: Fix entropy for uint8 URL: https://github.com/apache/incubator-mxnet/pull/14150#discussion_r257858773 ## File path: python/mxnet/contrib/quantization.py ## @@ -285,6 +285,10 @@ def _get_optimal_threshold(arr, num_bins

[GitHub] ZhennanQin commented on a change in pull request #14150: Fix entropy for uint8

ZhennanQin commented on a change in pull request #14150: Fix entropy for uint8 URL: https://github.com/apache/incubator-mxnet/pull/14150#discussion_r257858667 ## File path: tests/python/quantization/test_quantization.py ## @@ -673,8 +673,9 @@ def test_optimal_threshold_adve

[GitHub] ZhennanQin commented on issue #14123: Add int8 data loader

ZhennanQin commented on issue #14123: Add int8 data loader URL: https://github.com/apache/incubator-mxnet/pull/14123#issuecomment-464933057 @anirudh2290 Thanks for reviewing. That idea was in my head, but I was a bit worried about letting quantize_v2 accept int8 dtypes looks a bit weird, an

[GitHub] mxnet-label-bot commented on issue #14198: Dropout inference performance

mxnet-label-bot commented on issue #14198: Dropout inference performance URL: https://github.com/apache/incubator-mxnet/issues/14198#issuecomment-464932477 Hey, this is the MXNet Label Bot. Thank you for submitting the issue! I will try and suggest some labels so that the appropriate

[GitHub] eric-haibin-lin opened a new issue #14198: Dropout inference performance

eric-haibin-lin opened a new issue #14198: Dropout inference performance URL: https://github.com/apache/incubator-mxnet/issues/14198 Dropout is a commonly used component for NN training. Currently it is however, not well optimized for inference. Currently for inference, the dropout op prod

[GitHub] roywei commented on issue #14192: [MXNET-1324] Add NaiveRunGraph to imperative utils

roywei commented on issue #14192: [MXNET-1324] Add NaiveRunGraph to imperative utils URL: https://github.com/apache/incubator-mxnet/pull/14192#issuecomment-464929550 @mxnet-label-bot add[Backend, pr-awaiting-review] This is a

[GitHub] roywei edited a comment on issue #14195: [WIP][Clojure] Add methods based on NDArrayAPI/SymbolAPI

roywei edited a comment on issue #14195: [WIP][Clojure] Add methods based on NDArrayAPI/SymbolAPI URL: https://github.com/apache/incubator-mxnet/pull/14195#issuecomment-464928494 @mxnet-label-bot add [Clojure, pr-awaiting-review]

[GitHub] roywei commented on issue #14193: [MXNET-1325] Make InferShapeAttr a standalone pass

roywei commented on issue #14193: [MXNET-1325] Make InferShapeAttr a standalone pass URL: https://github.com/apache/incubator-mxnet/pull/14193#issuecomment-464929216 @mxnet-label-bot add[Backend, pr-awaiting-review] This is a

[GitHub] roywei edited a comment on issue #14194: [MXNET-1299] Perl: sync with Python API

roywei edited a comment on issue #14194: [MXNET-1299] Perl: sync with Python API URL: https://github.com/apache/incubator-mxnet/pull/14194#issuecomment-464928819 @mxnet-label-bot add[Perl, pr-awaiting-review] This is an automa

[GitHub] roywei commented on issue #14194: [MXNET-1299] Perl: sync with Python API

roywei commented on issue #14194: [MXNET-1299] Perl: sync with Python API URL: https://github.com/apache/incubator-mxnet/pull/14194#issuecomment-464928819 @mxnet-label-bot add[Perl] This is an automated message from the Apache

[GitHub] roywei edited a comment on issue #14195: [WIP][Clojure] Add methods based on NDArrayAPI/SymbolAPI

roywei edited a comment on issue #14195: [WIP][Clojure] Add methods based on NDArrayAPI/SymbolAPI URL: https://github.com/apache/incubator-mxnet/pull/14195#issuecomment-464928494 @mxnet-label-bot add [Clojure] This is an auto

[GitHub] roywei commented on issue #14195: [WIP][Clojure] Add methods based on NDArrayAPI/SymbolAPI

roywei commented on issue #14195: [WIP][Clojure] Add methods based on NDArrayAPI/SymbolAPI URL: https://github.com/apache/incubator-mxnet/pull/14195#issuecomment-464928494 @mxnet-label-bot [Clojure] This is an automated messa

[GitHub] roywei commented on issue #14196: Group Normalization

roywei commented on issue #14196: Group Normalization URL: https://github.com/apache/incubator-mxnet/pull/14196#issuecomment-464928113 @mxnet-label-bot add[Gluon, pr-awaiting-review] This is an automated message from the Apach

[GitHub] szha commented on issue #14177: Insufficient documentation for .hybridize()

szha commented on issue #14177: Insufficient documentation for .hybridize() URL: https://github.com/apache/incubator-mxnet/issues/14177#issuecomment-464926782 The problem is that hybridize didn't fail fast but instead returned the error message of CachedOp. The error message should be fixe

[GitHub] vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling

vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#discussion_r257852797 ## File path: python/mxnet/base.py ## @@ -483,8 +483,6 @@ def build_param_doc(arg_names,

[GitHub] szha commented on issue #14177: Insufficient documentation for .hybridize()

szha commented on issue #14177: Insufficient documentation for .hybridize() URL: https://github.com/apache/incubator-mxnet/issues/14177#issuecomment-464926133 @TobiasSkovgaardJepsen the document from the error message is the list of arguments for CachedOp, the underlying operator to make h

[GitHub] roywei commented on issue #14197: Add tutorial on how to use build from source jar

roywei commented on issue #14197: Add tutorial on how to use build from source jar URL: https://github.com/apache/incubator-mxnet/pull/14197#issuecomment-464925040 @mxnet-label-bot add[pr-awaiting-review, Scala, Java] This is

[GitHub] lanking520 commented on issue #14177: Insufficient documentation for .hybridize()

lanking520 commented on issue #14177: Insufficient documentation for .hybridize() URL: https://github.com/apache/incubator-mxnet/issues/14177#issuecomment-464924733 @TobiasSkovgaardJepsen Thanks for raising this. @eric-haibin-lin @szha if you guys know anything with the info of Hyb

[GitHub] vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling

vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#discussion_r257852964 ## File path: tests/python/unittest/test_operator.py ## @@ -1514,6 +1527,20 @@ def test_

[GitHub] vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling

vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#discussion_r257852934 ## File path: src/operator/nn/upsampling-inl.h ## @@ -59,24 +59,26 @@ struct UpSamplingP

[GitHub] vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling

vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#discussion_r257852921 ## File path: python/mxnet/base.py ## @@ -483,8 +483,6 @@ def build_param_doc(arg_names,

[GitHub] vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling

vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#discussion_r257852858 ## File path: src/operator/nn/upsampling-inl.h ## @@ -59,24 +59,26 @@ struct UpSamplingP

[GitHub] vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling

vandanavk commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#discussion_r257852797 ## File path: python/mxnet/base.py ## @@ -483,8 +483,6 @@ def build_param_doc(arg_names,

[GitHub] DickJC123 commented on a change in pull request #14006: Dual stream cudnn Convolution backward() with MXNET_GPU_WORKER_NSTREAMS=2.

DickJC123 commented on a change in pull request #14006: Dual stream cudnn Convolution backward() with MXNET_GPU_WORKER_NSTREAMS=2. URL: https://github.com/apache/incubator-mxnet/pull/14006#discussion_r257851551 ## File path: docs/faq/env_var.md ## @@ -174,6 +174,12 @@ When

[GitHub] stu1130 opened a new pull request #14197: Add tutorial on how to use build from source jar

stu1130 opened a new pull request #14197: Add tutorial on how to use build from source jar URL: https://github.com/apache/incubator-mxnet/pull/14197 ## Description ## Add tutorial on how to use build from source jar to avoid people have the same question. ## Checklist ## ### E

[GitHub] junrushao1994 commented on issue #14193: [MXNET-1325] Make InferShapeAttr a standalone pass

junrushao1994 commented on issue #14193: [MXNET-1325] Make InferShapeAttr a standalone pass URL: https://github.com/apache/incubator-mxnet/pull/14193#issuecomment-464917657 @szha @zheng-da Could you help review? Thanks a lot!

[GitHub] Roshrini edited a comment on issue #13604: onnx broadcast ops fixes

Roshrini edited a comment on issue #13604: onnx broadcast ops fixes URL: https://github.com/apache/incubator-mxnet/pull/13604#issuecomment-464852459 @sandeep-krishnamurthy This path of broadcast ops is used by multiple models which are already tested in CI like inception, etc. Addressed com

[GitHub] anirudh2290 commented on a change in pull request #14150: Fix entropy for uint8

anirudh2290 commented on a change in pull request #14150: Fix entropy for uint8 URL: https://github.com/apache/incubator-mxnet/pull/14150#discussion_r257838762 ## File path: python/mxnet/contrib/quantization.py ## @@ -285,6 +285,10 @@ def _get_optimal_threshold(arr, num_bin

[GitHub] anirudh2290 commented on a change in pull request #14150: Fix entropy for uint8

anirudh2290 commented on a change in pull request #14150: Fix entropy for uint8 URL: https://github.com/apache/incubator-mxnet/pull/14150#discussion_r257838228 ## File path: tests/python/quantization/test_quantization.py ## @@ -673,8 +673,9 @@ def test_optimal_threshold_adv

[GitHub] anirudhacharya commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling

anirudhacharya commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#discussion_r257837616 ## File path: tests/python/unittest/test_operator.py ## @@ -1514,6 +1527,20 @@ def

[GitHub] junrushao1994 commented on issue #14192: [MXNET-1324] Add NaiveRunGraph to imperative utils

junrushao1994 commented on issue #14192: [MXNET-1324] Add NaiveRunGraph to imperative utils URL: https://github.com/apache/incubator-mxnet/pull/14192#issuecomment-464895962 @szha @zheng-da Could you help review? Thanks a lot!

[GitHub] zhanghang1989 opened a new pull request #14196: Group Normalization

zhanghang1989 opened a new pull request #14196: Group Normalization URL: https://github.com/apache/incubator-mxnet/pull/14196 ## Description ## Using the BN as the backend. Currently, the block is not hybridizable, due to reading batch size. ## Checklist ## ### Essentials ###

[GitHub] anirudh2290 commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling

anirudh2290 commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#discussion_r257827673 ## File path: src/operator/nn/upsampling-inl.h ## @@ -59,24 +59,26 @@ struct UpSamplin

[GitHub] anirudh2290 commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling

anirudh2290 commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#discussion_r257824829 ## File path: src/operator/nn/upsampling-inl.h ## @@ -59,24 +59,26 @@ struct UpSamplin

[GitHub] anirudh2290 commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling

anirudh2290 commented on a change in pull request #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#discussion_r257827587 ## File path: python/mxnet/base.py ## @@ -483,8 +483,6 @@ def build_param_doc(arg_name

[GitHub] kedarbellare opened a new pull request #14195: [Clojure] Add methods based on NDArrayAPI/SymbolAPI

kedarbellare opened a new pull request #14195: [Clojure] Add methods based on NDArrayAPI/SymbolAPI URL: https://github.com/apache/incubator-mxnet/pull/14195 ## Description ## - This PR generates new methods based on the newer NDArrayAPI and SymbolAPI. It's still a work in progress.

[GitHub] sergeykolychev commented on issue #12658: test_dynamic fails in CI

sergeykolychev commented on issue #12658: test_dynamic fails in CI URL: https://github.com/apache/incubator-mxnet/issues/12658#issuecomment-464875086 @eric-haibin-lin The failure in this case is unrelated to the one before. test_dynamic encompasses all tests. -

[GitHub] sergeykolychev commented on issue #12658: test_dynamic fails in CI

sergeykolychev commented on issue #12658: test_dynamic fails in CI URL: https://github.com/apache/incubator-mxnet/issues/12658#issuecomment-464874764 @eric-haibin-lin I'll check this, I just added a PR and will add the fix for this to the PR. --

[incubator-mxnet-site] branch asf-site updated: Bump the publish timestamp.

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[GitHub] sergeykolychev commented on issue #14194: [MXNET-1299] Perl: sync with Python API

sergeykolychev commented on issue #14194: [MXNET-1299] Perl: sync with Python API URL: https://github.com/apache/incubator-mxnet/pull/14194#issuecomment-464864738 @tlby Please check when you have time. This is an automated me

[GitHub] sergeykolychev opened a new pull request #14194: [MXNET-1299] Perl: sync with Python API

sergeykolychev opened a new pull request #14194: [MXNET-1299] Perl: sync with Python API URL: https://github.com/apache/incubator-mxnet/pull/14194 ## Description ## Two more gluon loss classes. Visualization fixes. Gluon RNN rework, including hybridization. Exposed GPU memory in

[GitHub] junrushao1994 opened a new pull request #14193: Make InferShapeAttr a standalone pass

junrushao1994 opened a new pull request #14193: Make InferShapeAttr a standalone pass URL: https://github.com/apache/incubator-mxnet/pull/14193 ## Description ## Given the fact that there is going on work tweaking InferShape a lot, we have to separate the InferShapeAttr pass out.

[GitHub] perdasilva edited a comment on issue #14146: Disables flaky test test_operator_gpu.test_deconvolution

perdasilva edited a comment on issue #14146: Disables flaky test test_operator_gpu.test_deconvolution URL: https://github.com/apache/incubator-mxnet/pull/14146#issuecomment-464861199 I think as a general statement, what you are saying makes sense. But in this case (#14144) - which I would

[GitHub] perdasilva edited a comment on issue #14146: Disables flaky test test_operator_gpu.test_deconvolution

perdasilva edited a comment on issue #14146: Disables flaky test test_operator_gpu.test_deconvolution URL: https://github.com/apache/incubator-mxnet/pull/14146#issuecomment-464861199 I think as a general statement, what you are saying makes sense. But in this case (#14144) - which I would

[GitHub] perdasilva commented on issue #14146: Disables flaky test test_operator_gpu.test_deconvolution

perdasilva commented on issue #14146: Disables flaky test test_operator_gpu.test_deconvolution URL: https://github.com/apache/incubator-mxnet/pull/14146#issuecomment-464861199 I think as a general statement, what you are saying makes sense. But in this case (#14144) - which I would suggest

[GitHub] lupesko commented on issue #14035: [WIP] Fix documentation for bilinear upsampling

lupesko commented on issue #14035: [WIP] Fix documentation for bilinear upsampling URL: https://github.com/apache/incubator-mxnet/pull/14035#issuecomment-464857374 @apeforest @anirudh2290 can you please help review? This is

[GitHub] eric-haibin-lin commented on issue #12658: test_dynamic fails in CI

eric-haibin-lin commented on issue #12658: test_dynamic fails in CI URL: https://github.com/apache/incubator-mxnet/issues/12658#issuecomment-464855923 Failed again in http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-14171/4/pipeline

[GitHub] ChaiBapchya commented on issue #2302: General support for Float16 and other DTypes

ChaiBapchya commented on issue #2302: General support for Float16 and other DTypes URL: https://github.com/apache/incubator-mxnet/issues/2302#issuecomment-464853884 Do you recommend closing this issue in that case? This is

[GitHub] Roshrini commented on issue #13604: onnx broadcast ops fixes

Roshrini commented on issue #13604: onnx broadcast ops fixes URL: https://github.com/apache/incubator-mxnet/pull/13604#issuecomment-464852459 @sandeep-krishnamurthy This path of broadcast ops is used by multiple models which are already tested in CI like inception, etc. ---

[incubator-mxnet] branch master updated: Refine runtime feature discovery python API and add documentation to … (#14130)

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[GitHub] szha merged pull request #14130: Refine runtime feature discovery python API and add documentation to …

szha merged pull request #14130: Refine runtime feature discovery python API and add documentation to … URL: https://github.com/apache/incubator-mxnet/pull/14130 This is an automated message from the Apache Git Service. To r

[GitHub] apeforest commented on a change in pull request #13907: Fixes downloading of data in cpp-package/example/get_data.sh

apeforest commented on a change in pull request #13907: Fixes downloading of data in cpp-package/example/get_data.sh URL: https://github.com/apache/incubator-mxnet/pull/13907#discussion_r257805473 ## File path: cpp-package/example/get_data.sh ## @@ -14,28 +15,35 @@ # KIND

[GitHub] apeforest commented on a change in pull request #13907: Fixes downloading of data in cpp-package/example/get_data.sh

apeforest commented on a change in pull request #13907: Fixes downloading of data in cpp-package/example/get_data.sh URL: https://github.com/apache/incubator-mxnet/pull/13907#discussion_r257805235 ## File path: cpp-package/example/get_data.sh ## @@ -14,28 +15,35 @@ # KIND

[GitHub] junrushao1994 opened a new pull request #14192: [MXNET-1324] Add NaiveRunGraph to imperative utils

junrushao1994 opened a new pull request #14192: [MXNET-1324] Add NaiveRunGraph to imperative utils URL: https://github.com/apache/incubator-mxnet/pull/14192 ## Description ## This PR introduces another way of executing a graph, `NaiveRunGraph`, which runs the operators one by another. T

[incubator-mxnet-site] branch asf-site updated: Bump the publish timestamp.

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[incubator-mxnet] branch master updated: add quantization example to readme (#14186)

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[GitHub] lanking520 merged pull request #14186: Add quantization examples to example/readme

lanking520 merged pull request #14186: Add quantization examples to example/readme URL: https://github.com/apache/incubator-mxnet/pull/14186 This is an automated message from the Apache Git Service. To respond to the message

[GitHub] sergeykolychev commented on issue #14165: v1.3.x - strange perl unit test failure

sergeykolychev commented on issue #14165: v1.3.x - strange perl unit test failure URL: https://github.com/apache/incubator-mxnet/issues/14165#issuecomment-464828446 Sure This is an automated message from the Apache Git Servi

[GitHub] ankkhedia commented on issue #14186: Add quantization examples to example/readme

ankkhedia commented on issue #14186: Add quantization examples to example/readme URL: https://github.com/apache/incubator-mxnet/pull/14186#issuecomment-464826426 @mxnet-label-bot add [pr-awaiting-merge] This is an automated me

[GitHub] ankkhedia commented on issue #14190: [Flaky Test] Python3: MKLDNN-GPU test_kvstore_gpu.test_rsp_push_pull

ankkhedia commented on issue #14190: [Flaky Test] Python3: MKLDNN-GPU test_kvstore_gpu.test_rsp_push_pull URL: https://github.com/apache/incubator-mxnet/pull/14190#issuecomment-464820757 @Chancebair Thanks for your contribution @mxnet-label-bot add [flaky, test, pr-awaiting-review]

[GitHub] ankkhedia commented on issue #14188: Disables test_random.test_exponential_generator

ankkhedia commented on issue #14188: Disables test_random.test_exponential_generator URL: https://github.com/apache/incubator-mxnet/pull/14188#issuecomment-464820443 @perdasilva Thanks for your contribution! @mxnet-label-bot add [Flaky, test, pr-awaiting-review] ---

[GitHub] apeforest commented on issue #10973: Flaky test_deconvolution

apeforest commented on issue #10973: Flaky test_deconvolution URL: https://github.com/apache/incubator-mxnet/issues/10973#issuecomment-464810402 Please reproduce this in master before marking it as flaky test. This is an aut

[GitHub] apeforest closed issue #10973: Flaky test_deconvolution

apeforest closed issue #10973: Flaky test_deconvolution URL: https://github.com/apache/incubator-mxnet/issues/10973 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and

[GitHub] Caenorst commented on issue #14040: Reformat of TensorRT to use subgraph API

Caenorst commented on issue #14040: Reformat of TensorRT to use subgraph API URL: https://github.com/apache/incubator-mxnet/pull/14040#issuecomment-464776924 > > weights for TensorRT node are on CPU while the rest of the graph is on GPU. > > This is not true. When binding completes,

[GitHub] perdasilva commented on a change in pull request #14028: Cmake blas

perdasilva commented on a change in pull request #14028: Cmake blas URL: https://github.com/apache/incubator-mxnet/pull/14028#discussion_r257700767 ## File path: ci/docker/Dockerfile.build.android_armv8 ## @@ -73,7 +73,7 @@ ENV CXX=${CROSS_ROOT}/bin/${CROSS_TRIPLE}-clang++

[incubator-mxnet-site] branch asf-site updated: Bump the publish timestamp.

This is an automated email from the ASF dual-hosted git repository. zhasheng pushed a commit to branch asf-site in repository https://gitbox.apache.org/repos/asf/incubator-mxnet-site.git The following commit(s) were added to refs/heads/asf-site by this push: new f3bec9f Bump the publish ti

[GitHub] cchung100m commented on a change in pull request #13938: [MXNET-1291] solve pylint errors in examples with issue no.12205

cchung100m commented on a change in pull request #13938: [MXNET-1291] solve pylint errors in examples with issue no.12205 URL: https://github.com/apache/incubator-mxnet/pull/13938#discussion_r257665488 ## File path: example/bayesian-methods/algos.py ## @@ -14,13 +14,15 @@

[GitHub] simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api

simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api URL: https://github.com/apache/incubator-mxnet/issues/14159#issuecomment-464698774 > @IvyGongoogle > Currently cpp-package APIs doesn't support fp16 datatype. We can mark this question as feature request.

[GitHub] simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api

simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api URL: https://github.com/apache/incubator-mxnet/issues/14159#issuecomment-464698774 > @IvyGongoogle > Currently cpp-package APIs doesn't support fp16 datatype. We can mark this question as feature request.

[GitHub] simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api

simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api URL: https://github.com/apache/incubator-mxnet/issues/14159#issuecomment-464698774 > @IvyGongoogle > Currently cpp-package APIs doesn't support fp16 datatype. We can mark this question as feature request.

[GitHub] simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api

simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api URL: https://github.com/apache/incubator-mxnet/issues/14159#issuecomment-464698774 > @IvyGongoogle > Currently cpp-package APIs doesn't support fp16 datatype. We can mark this question as feature request.

[GitHub] simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api

simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api URL: https://github.com/apache/incubator-mxnet/issues/14159#issuecomment-464698774 > @IvyGongoogle > Currently cpp-package APIs doesn't support fp16 datatype. We can mark this question as feature request.

[GitHub] simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api

simonmaurer edited a comment on issue #14159: how to infer using fp16 for c++ api URL: https://github.com/apache/incubator-mxnet/issues/14159#issuecomment-464698774 > @IvyGongoogle > Currently cpp-package APIs doesn't support fp16 datatype. We can mark this question as feature request.

[GitHub] simonmaurer commented on issue #14159: how to infer using fp16 for c++ api

simonmaurer commented on issue #14159: how to infer using fp16 for c++ api URL: https://github.com/apache/incubator-mxnet/issues/14159#issuecomment-464698774 > @IvyGongoogle > Currently cpp-package APIs doesn't support fp16 datatype. We can mark this question as feature request.

[GitHub] idealboy opened a new issue #14191: About mxnet-tensorrt's problem between different mxnet version?

idealboy opened a new issue #14191: About mxnet-tensorrt's problem between different mxnet version? URL: https://github.com/apache/incubator-mxnet/issues/14191 Note: Providing complete information in the most concise form is the best way to get help. This issue template serves as the check

[GitHub] mxnet-label-bot commented on issue #14191: About mxnet-tensorrt's problem between different mxnet version?

mxnet-label-bot commented on issue #14191: About mxnet-tensorrt's problem between different mxnet version? URL: https://github.com/apache/incubator-mxnet/issues/14191#issuecomment-464690835 Hey, this is the MXNet Label Bot. Thank you for submitting the issue! I will try and suggest so

[GitHub] stsukrov commented on issue #14087: Poor performance of the libmxnet if OMP_PLACES environment variable is present

stsukrov commented on issue #14087: Poor performance of the libmxnet if OMP_PLACES environment variable is present URL: https://github.com/apache/incubator-mxnet/issues/14087#issuecomment-464689645 @pengzhao-intel Thanks a lot. It's not a blocker for us. --

[GitHub] stsukrov commented on issue #14086: Intel Compiler fails to build mxnet

stsukrov commented on issue #14086: Intel Compiler fails to build mxnet URL: https://github.com/apache/incubator-mxnet/issues/14086#issuecomment-464689340 @TaoLv Thanks. Feel free to request any testing on the issue. T

[GitHub] edisongustavo commented on a change in pull request #14028: Cmake blas

edisongustavo commented on a change in pull request #14028: Cmake blas URL: https://github.com/apache/incubator-mxnet/pull/14028#discussion_r257642857 ## File path: ci/docker/Dockerfile.build.android_armv8 ## @@ -73,7 +73,7 @@ ENV CXX=${CROSS_ROOT}/bin/${CROSS_TRIPLE}-clang

[GitHub] perdasilva commented on a change in pull request #14028: Cmake blas

perdasilva commented on a change in pull request #14028: Cmake blas URL: https://github.com/apache/incubator-mxnet/pull/14028#discussion_r257640759 ## File path: ci/docker/Dockerfile.build.android_armv8 ## @@ -73,7 +73,7 @@ ENV CXX=${CROSS_ROOT}/bin/${CROSS_TRIPLE}-clang++

[GitHub] perdasilva commented on a change in pull request #14028: Cmake blas

perdasilva commented on a change in pull request #14028: Cmake blas URL: https://github.com/apache/incubator-mxnet/pull/14028#discussion_r257640759 ## File path: ci/docker/Dockerfile.build.android_armv8 ## @@ -73,7 +73,7 @@ ENV CXX=${CROSS_ROOT}/bin/${CROSS_TRIPLE}-clang++

[GitHub] perdasilva commented on a change in pull request #14028: Cmake blas

perdasilva commented on a change in pull request #14028: Cmake blas URL: https://github.com/apache/incubator-mxnet/pull/14028#discussion_r257640759 ## File path: ci/docker/Dockerfile.build.android_armv8 ## @@ -73,7 +73,7 @@ ENV CXX=${CROSS_ROOT}/bin/${CROSS_TRIPLE}-clang++

[GitHub] edisongustavo commented on a change in pull request #14028: Cmake blas

edisongustavo commented on a change in pull request #14028: Cmake blas URL: https://github.com/apache/incubator-mxnet/pull/14028#discussion_r257641671 ## File path: ci/docker/install/android_arm64_openblas.sh ## @@ -25,8 +25,41 @@ pushd . git clone https://github.com/xiany

[GitHub] perdasilva commented on a change in pull request #14028: Cmake blas

perdasilva commented on a change in pull request #14028: Cmake blas URL: https://github.com/apache/incubator-mxnet/pull/14028#discussion_r257640759 ## File path: ci/docker/Dockerfile.build.android_armv8 ## @@ -73,7 +73,7 @@ ENV CXX=${CROSS_ROOT}/bin/${CROSS_TRIPLE}-clang++

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