[GitHub] [incubator-mxnet] ptrendx merged pull request #17213: [WIP]Backport #17031, #16980 to 1.6 branch

ptrendx merged pull request #17213: [WIP]Backport #17031, #16980 to 1.6 branch URL: https://github.com/apache/incubator-mxnet/pull/17213 This is an automated message from the Apache Git Service. To respond to the message, pl

[incubator-mxnet] branch v1.6.x updated: Backport #16980 #17031 #17018 #17019 to 1.6 branch (#17213)

This is an automated email from the ASF dual-hosted git repository. ptrendx pushed a commit to branch v1.6.x in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git The following commit(s) were added to refs/heads/v1.6.x by this push: new 0015fc3 Backport #16980 #17031 #17018

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

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[GitHub] [incubator-mxnet] MyraBaba opened a new issue #17216: how to compile mxnet with cpp and gpu support in the docker ?

MyraBaba opened a new issue #17216: how to compile mxnet with cpp and gpu support in the docker ? URL: https://github.com/apache/incubator-mxnet/issues/17216 Hi, I asked in the forum but non answer received I couldn't find a docker image that has gpu and cpp support. I

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

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[GitHub] [incubator-mxnet] QueensGambit commented on issue #17216: how to compile mxnet with cpp and gpu support in the docker ?

QueensGambit commented on issue #17216: how to compile mxnet with cpp and gpu support in the docker ? URL: https://github.com/apache/incubator-mxnet/issues/17216#issuecomment-570968828 Hi @MyraBaba , there is an official MXNet NVIDIA docker image available which also has TensorRT suppo

[GitHub] [incubator-mxnet] QueensGambit edited a comment on issue #17216: how to compile mxnet with cpp and gpu support in the docker ?

QueensGambit edited a comment on issue #17216: how to compile mxnet with cpp and gpu support in the docker ? URL: https://github.com/apache/incubator-mxnet/issues/17216#issuecomment-570968828 Hi @MyraBaba , there is an official MXNet NVIDIA docker image available which also has TensorR

[GitHub] [incubator-mxnet] zixuanweeei commented on issue #17183: [MKL-DNN] MKL-DNN RNN backward path enhancement

zixuanweeei commented on issue #17183: [MKL-DNN] MKL-DNN RNN backward path enhancement URL: https://github.com/apache/incubator-mxnet/pull/17183#issuecomment-570972014 Thanks, @ciyongch . @TaoLv @pengzhao-intel Please take a review again. I rebased the current branch on the official

[GitHub] [incubator-mxnet] ciyongch opened a new pull request #17217: fix latency calculation and print issue

ciyongch opened a new pull request #17217: fix latency calculation and print issue URL: https://github.com/apache/incubator-mxnet/pull/17217 ## Description ## This PR is to correct the latency calculation in `example/quantization/launch_inference_mkldnn.sh`. the latency should be relat

[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #17214: [tvmop] support cuda multi-arch compilation

TaoLv commented on a change in pull request #17214: [tvmop] support cuda multi-arch compilation URL: https://github.com/apache/incubator-mxnet/pull/17214#discussion_r363139757 ## File path: CMakeLists.txt ## @@ -840,7 +841,7 @@ install(TARGETS ${MXNET_INSTALL_TARGETS} i

[GitHub] [incubator-mxnet] OliverColeman opened a new issue #17218: mxnet.ndarray.from_numpy() throws error for float16 dtype

OliverColeman opened a new issue #17218: mxnet.ndarray.from_numpy() throws error for float16 dtype URL: https://github.com/apache/incubator-mxnet/issues/17218 ## Description When trying to convert a numpy array with dtype `float16` I get the error below. I looked through the code and it

[GitHub] [incubator-mxnet] yzhliu commented on a change in pull request #17214: [tvmop] support cuda multi-arch compilation

yzhliu commented on a change in pull request #17214: [tvmop] support cuda multi-arch compilation URL: https://github.com/apache/incubator-mxnet/pull/17214#discussion_r363143270 ## File path: CMakeLists.txt ## @@ -840,7 +841,7 @@ install(TARGETS ${MXNET_INSTALL_TARGETS}

[GitHub] [incubator-mxnet] TaoLv commented on a change in pull request #17214: [tvmop] support cuda multi-arch compilation

TaoLv commented on a change in pull request #17214: [tvmop] support cuda multi-arch compilation URL: https://github.com/apache/incubator-mxnet/pull/17214#discussion_r363144487 ## File path: CMakeLists.txt ## @@ -840,7 +841,7 @@ install(TARGETS ${MXNET_INSTALL_TARGETS} i

[GitHub] [incubator-mxnet] TaoLv opened a new issue #17219: Flaky test: test_numpy_op.test_npi_boolean_assign

TaoLv opened a new issue #17219: Flaky test: test_numpy_op.test_npi_boolean_assign URL: https://github.com/apache/incubator-mxnet/issues/17219 ## Description test_numpy_op.test_npi_boolean_assign ## Occurrences ``` MXNET_TEST_SEED=952277814 nosetests -s -v test_numpy_op:tes

[GitHub] [incubator-mxnet] TaoLv commented on issue #17219: Flaky test: test_numpy_op.test_npi_boolean_assign

TaoLv commented on issue #17219: Flaky test: test_numpy_op.test_npi_boolean_assign URL: https://github.com/apache/incubator-mxnet/issues/17219#issuecomment-57019 @haojin2 @reminisce FYI. This is an automated message from

[GitHub] [incubator-mxnet] eric-haibin-lin opened a new issue #17220: Cannot access child blocks' parameter in parent block's hybrid_forward

eric-haibin-lin opened a new issue #17220: Cannot access child blocks' parameter in parent block's hybrid_forward URL: https://github.com/apache/incubator-mxnet/issues/17220 I have a very simple model: ``` class MyBlock(HybridBlock): def __init__(self): self.dense1 =

[GitHub] [incubator-mxnet] reminisce commented on issue #17219: Flaky test: test_numpy_op.test_npi_boolean_assign

reminisce commented on issue #17219: Flaky test: test_numpy_op.test_npi_boolean_assign URL: https://github.com/apache/incubator-mxnet/issues/17219#issuecomment-571002763 @Alicia1529 This is an automated message from the Apa

[GitHub] [incubator-mxnet] cloudrivers commented on issue #15181: [Feature Request] Support ONNX export of MultiBox operators

cloudrivers commented on issue #15181: [Feature Request] Support ONNX export of MultiBox operators URL: https://github.com/apache/incubator-mxnet/issues/15181#issuecomment-571008689 meet the same issue on aws sagemaker. it seams that the version of onnx in sagemaker's mxnet is 1.2.1. how

[GitHub] [incubator-mxnet] hgt312 commented on issue #17179: [Numpy] where does not support python scalar as the input

hgt312 commented on issue #17179: [Numpy] where does not support python scalar as the input URL: https://github.com/apache/incubator-mxnet/issues/17179#issuecomment-571009930 If both `x` and `y` are scalars, dtype of the output should be what? In official numpy, it may be `int64` or `floa

[GitHub] [incubator-mxnet] cloudrivers removed a comment on issue #15181: [Feature Request] Support ONNX export of MultiBox operators

cloudrivers removed a comment on issue #15181: [Feature Request] Support ONNX export of MultiBox operators URL: https://github.com/apache/incubator-mxnet/issues/15181#issuecomment-571008689 meet the same issue on aws sagemaker. it seams that the version of onnx in sagemaker's mxnet is 1.2

[GitHub] [incubator-mxnet] cloudrivers commented on issue #15181: [Feature Request] Support ONNX export of MultiBox operators

cloudrivers commented on issue #15181: [Feature Request] Support ONNX export of MultiBox operators URL: https://github.com/apache/incubator-mxnet/issues/15181#issuecomment-571010495 meet the same issue on aws sagemaker. it seams that the version of onnx in sagemaker's mxnet is 1.2.1. howe

[GitHub] [incubator-mxnet] wkcn commented on issue #17218: mxnet.ndarray.from_numpy() throws error for float16 dtype

wkcn commented on issue #17218: mxnet.ndarray.from_numpy() throws error for float16 dtype URL: https://github.com/apache/incubator-mxnet/issues/17218#issuecomment-571011395 Thank you for the report: ) I will check it. This i

[GitHub] [incubator-mxnet] wkcn commented on issue #16881: Add TypeFlag=>string macro

wkcn commented on issue #16881: Add TypeFlag=>string macro URL: https://github.com/apache/incubator-mxnet/pull/16881#issuecomment-571013968 Hi @haojin2 This is an automated message from the Apache Git Service. To respond to t

[GitHub] [incubator-mxnet] Kongsea commented on issue #3432: OSError: /usr/lib/libgdal.so.1: undefined symbol: sqlite3_column_table_name

Kongsea commented on issue #3432: OSError: /usr/lib/libgdal.so.1: undefined symbol: sqlite3_column_table_name URL: https://github.com/apache/incubator-mxnet/issues/3432#issuecomment-571022350 In conda environment, run: ``` make clean > rm -rf 3rdparty/ > git checkout 3rdpar

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

This is an automated email from the ASF dual-hosted git repository. aaronmarkham 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 a650b97 Bump the publis

[GitHub] [incubator-mxnet] eric-haibin-lin opened a new issue #17221: MXNet nightly breaks horovod integration

eric-haibin-lin opened a new issue #17221: MXNet nightly breaks horovod integration URL: https://github.com/apache/incubator-mxnet/issues/17221 https://buildkite.com/horovod/horovod/builds/1784#8b441e99-241b-4a94-9e77-fcf3dfce8c9d ``` OSError: /usr/local/lib/python2.7/dist-package

[GitHub] [incubator-mxnet] yzhliu commented on a change in pull request #17214: [tvmop] support cuda multi-arch compilation

yzhliu commented on a change in pull request #17214: [tvmop] support cuda multi-arch compilation URL: https://github.com/apache/incubator-mxnet/pull/17214#discussion_r363182656 ## File path: CMakeLists.txt ## @@ -840,7 +841,7 @@ install(TARGETS ${MXNET_INSTALL_TARGETS}