kshitij12345 commented on a change in pull request #15480: [MXNET-978] Higher
Order Gradient Support `elemwise_mul`, `elemwise_add`.
URL: https://github.com/apache/incubator-mxnet/pull/15480#discussion_r300922295
##
File path: src/operator/tensor/elemwise_binary_op_basic.cc
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patriczhao pushed a commit to branch master
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new 091fece fix fp32 flatten issue
pengzhao-intel commented on issue #15351: fix fp32 flatten issue
URL: https://github.com/apache/incubator-mxnet/pull/15351#issuecomment-509053946
Thanks for your contribution. Merging now.
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pengzhao-intel merged pull request #15351: fix fp32 flatten issue
URL: https://github.com/apache/incubator-mxnet/pull/15351
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ciyongch commented on issue #15429: Operator Performance Regression on CPU
URL:
https://github.com/apache/incubator-mxnet/issues/15429#issuecomment-509050325
@roywei does it mean the operator profiling results with current profiler
module is not accurate?
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new fc0b96c Bump the publish
ZhennanQin commented on issue #15465: [RFC] Integrate TVM into Apache MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/15465#issuecomment-509039433
@junrushao1994 The plugin idea looks too fantastic for me. Of course, If we
can achieve that, then integrated TVM is able to
junrushao1994 commented on issue #15465: [RFC] Integrate TVM into Apache MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/15465#issuecomment-509036689
@cjolivier01 yep! The TVM compiler generates llvm IR which are compiled as
binary and loaded as a C++ module, then could be
cjolivier01 commented on issue #15465: [RFC] Integrate TVM into Apache MXNet
URL:
https://github.com/apache/incubator-mxnet/issues/15465#issuecomment-509033609
dumb question: Are operators written this way available in any way to
non-python languages such as lua, scala, etc?
apeforest merged pull request #15413: [MXNET-978] Higher Order Gradient Support
`reciprocal`, `abs`.
URL: https://github.com/apache/incubator-mxnet/pull/15413
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apeforest pushed a commit to branch master
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new a3ae309 [MXNET-978] Higher Order
apeforest commented on a change in pull request #15413: [MXNET-978] Higher
Order Gradient Support `reciprocal`, `abs`.
URL: https://github.com/apache/incubator-mxnet/pull/15413#discussion_r300885216
##
File path: src/operator/tensor/elemwise_unary_op_basic.cc
##
@@ -717,7
apeforest commented on a change in pull request #15480: [MXNET-978] Higher
Order Gradient Support `elemwise_mul`, `elemwise_add`.
URL: https://github.com/apache/incubator-mxnet/pull/15480#discussion_r300884866
##
File path: src/operator/tensor/elemwise_binary_op_basic.cc
apeforest commented on a change in pull request #15480: [MXNET-978] Higher
Order Gradient Support `elemwise_mul`, `elemwise_add`.
URL: https://github.com/apache/incubator-mxnet/pull/15480#discussion_r300884866
##
File path: src/operator/tensor/elemwise_binary_op_basic.cc
apeforest commented on a change in pull request #15480: [MXNET-978] Higher
Order Gradient Support `elemwise_mul`, `elemwise_add`.
URL: https://github.com/apache/incubator-mxnet/pull/15480#discussion_r300884763
##
File path: src/operator/tensor/elemwise_binary_op_basic.cc
apeforest commented on a change in pull request #15480: [MXNET-978] Higher
Order Gradient Support `elemwise_mul`, `elemwise_add`.
URL: https://github.com/apache/incubator-mxnet/pull/15480#discussion_r300884782
##
File path: src/operator/tensor/elemwise_binary_op_basic.cc
apeforest commented on a change in pull request #15480: [MXNET-978] Higher
Order Gradient Support `elemwise_mul`, `elemwise_add`.
URL: https://github.com/apache/incubator-mxnet/pull/15480#discussion_r300884763
##
File path: src/operator/tensor/elemwise_binary_op_basic.cc
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marcoabreu pushed a commit to branch asf-site
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new baab1c2 Bump the publish
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nopattern opened a new issue #15482: mx2onnx error about batchnorm
URL: https://github.com/apache/incubator-mxnet/issues/15482
## Description
I use mx2onnx onnx_mxnet.export_model to transfer mxnet symbol to onnx .
But the moving_mean_var param of Batchnorm is not in the params.
kshitij12345 opened a new pull request #15481: fix comment
URL: https://github.com/apache/incubator-mxnet/pull/15481
fix comment.
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marcoabreu pushed a commit to branch asf-site
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pengzhao-intel commented on issue #15453: add inference mode for op perf
benchmark
URL: https://github.com/apache/incubator-mxnet/pull/15453#issuecomment-508990900
Thanks for the improvement.
Could you paste the output of inference OP for both CPU and GPU?
pengzhao-intel merged pull request #15451: Had a few PRs merged. Hope to become
an official contributor.
URL: https://github.com/apache/incubator-mxnet/pull/15451
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patriczhao pushed a commit to branch master
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new a6ed12f Had a few PRs merged.
pengzhao-intel commented on issue #15451: Had a few PRs merged. Hope to become
an official contributor.
URL: https://github.com/apache/incubator-mxnet/pull/15451#issuecomment-508990763
Thanks for your contribution. Merging now.
pengzhao-intel edited a comment on issue #15473: mac mxnet cpu compile error
URL:
https://github.com/apache/incubator-mxnet/issues/15473#issuecomment-508990407
Could you update the issue with a simple summary about what error you
encountered and how to reproduce it?
Feel free to
pengzhao-intel commented on issue #15473: mac mxnet cpu compile error
URL:
https://github.com/apache/incubator-mxnet/issues/15473#issuecomment-508990407
Could you update the description with a simple summary about what error you
encountered and how to reproduce it?
kshitij12345 opened a new pull request #15480: Develop/add higher
order/elemwise {mul/div}[MXNET-978] Higher Order Gradient Support
`elemwise_mul`, `elemwise_add`.
URL: https://github.com/apache/incubator-mxnet/pull/15480
## Description ##
PR intends to add support for higher order
KhurramPirov opened a new issue #15479: Clear optimizer state in
batch.end.callback
URL: https://github.com/apache/incubator-mxnet/issues/15479
## Description
I want to clear SGD optimizer state during some steps of training.
Package used:
Python 3.7
## What have you tried to
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gyshi closed issue #15478: compute in GPU , astype('int32') overflow problem
URL: https://github.com/apache/incubator-mxnet/issues/15478
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nopattern edited a comment on issue #14589: convert from mxnet to onnx failed,
with Unrecognized attribute: spatial for operator BatchNormalization
URL:
https://github.com/apache/incubator-mxnet/issues/14589#issuecomment-508975646
I have convert mxnet(1.5.0) to the onnx(1.5.0), the error
nopattern commented on issue #14589: convert from mxnet to onnx failed, with
Unrecognized attribute: spatial for operator BatchNormalization
URL:
https://github.com/apache/incubator-mxnet/issues/14589#issuecomment-508975646
I have convert mxnet(1.5.0) to the onnx(1.5.0), the error is:
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