[GitHub] [incubator-mxnet] sxjscience commented on issue #18084: [Numpy] Backward error in mixed int64 + float32

sxjscience commented on issue #18084: [Numpy] Backward error in mixed int64 + float32 URL: https://github.com/apache/incubator-mxnet/issues/18084#issuecomment-614780675 Another failure case: ```python import mxnet as mx from mxnet.gluon import HybridBlock mx.npx.set_np()

[GitHub] [incubator-mxnet] ptrendx commented on a change in pull request #18082: Add gelu fuse ops

ptrendx commented on a change in pull request #18082: Add gelu fuse ops URL: https://github.com/apache/incubator-mxnet/pull/18082#discussion_r409713331 ## File path: src/operator/fusion/fused_op-inl.h ## @@ -543,6 +552,13 @@ __device__ inline DType relu(const DType val) {

[GitHub] [incubator-mxnet] josephevans commented on issue #17999: For mxnet-validation pipeline, require sanity build to complete successfully before running other build pipelines.

josephevans commented on issue #17999: For mxnet-validation pipeline, require sanity build to complete successfully before running other build pipelines. URL: https://github.com/apache/incubator-mxnet/pull/17999#issuecomment-614770098 We will still need to make some changes to Jenkins in

[GitHub] [incubator-mxnet] zleyk22 commented on issue #18078: A possible bug when computing a gradient vector

zleyk22 commented on issue #18078: A possible bug when computing a gradient vector URL: https://github.com/apache/incubator-mxnet/issues/18078#issuecomment-614769243 Yes, I will try to fix it. On 4/16/20 11:44 AM, Xingjian Shi wrote: > > @zleyk22

[GitHub] [incubator-mxnet] sxjscience opened a new issue #18084: [Numpy] Backward error in mixed int64 + float32

sxjscience opened a new issue #18084: [Numpy] Backward error in mixed int64 + float32 URL: https://github.com/apache/incubator-mxnet/issues/18084 This is related to https://github.com/apache/incubator-mxnet/issues/18022. Reproducible example: ```python import mxnet as mx

[incubator-mxnet] branch master updated (afae030 -> 9337137)

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[incubator-mxnet] branch master updated (afae030 -> 9337137)

This is an automated email from the ASF dual-hosted git repository. apeforest pushed a change to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git. from afae030 No tensor cores for fp32 interleaved attention, remove div by 8 restriction (#17994) add

[GitHub] [incubator-mxnet] apeforest merged pull request #17999: For mxnet-validation pipeline, require sanity build to complete successfully before running other build pipelines.

apeforest merged pull request #17999: For mxnet-validation pipeline, require sanity build to complete successfully before running other build pipelines. URL: https://github.com/apache/incubator-mxnet/pull/17999 This is an

[GitHub] [incubator-mxnet] sxjscience commented on issue #18078: A possible bug when computing a gradient vector

sxjscience commented on issue #18078: A possible bug when computing a gradient vector URL: https://github.com/apache/incubator-mxnet/issues/18078#issuecomment-614766460 @zleyk22 I think currently no one is looking at the issue. Would you try to solve it? Thanks for pointing out the

[GitHub] [incubator-mxnet] zleyk22 commented on issue #18078: A possible bug when computing a gradient vector

zleyk22 commented on issue #18078: A possible bug when computing a gradient vector URL: https://github.com/apache/incubator-mxnet/issues/18078#issuecomment-614763343 Xingjian, If it is a bug, then possibly somebody tries to fix it. Do you know such a person? I would like to

[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17946: Change register_op_hook to take MXNet and Python types instead of C types

mxnet-bot commented on issue #17946: Change register_op_hook to take MXNet and Python types instead of C types URL: https://github.com/apache/incubator-mxnet/pull/17946#issuecomment-614739619 Jenkins CI successfully triggered : [unix-gpu]

[GitHub] [incubator-mxnet] marcoabreu commented on issue #17999: For mxnet-validation pipeline, require sanity build to complete successfully before running other build pipelines.

marcoabreu commented on issue #17999: For mxnet-validation pipeline, require sanity build to complete successfully before running other build pipelines. URL: https://github.com/apache/incubator-mxnet/pull/17999#issuecomment-614739736 Please show that this is tested and working before

[GitHub] [incubator-mxnet] ptrendx commented on issue #17946: Change register_op_hook to take MXNet and Python types instead of C types

ptrendx commented on issue #17946: Change register_op_hook to take MXNet and Python types instead of C types URL: https://github.com/apache/incubator-mxnet/pull/17946#issuecomment-614739561 @mxnet-bot run ci [unix-gpu] Timeouts :-(

[GitHub] [incubator-mxnet] sxjscience commented on issue #18046: Proposal to mxnet.metric

sxjscience commented on issue #18046: Proposal to mxnet.metric URL: https://github.com/apache/incubator-mxnet/issues/18046#issuecomment-614734035 Also, I suggest to remove the option of `macro` averaging. I don't think the current implementation is correct. In scikit-learn, there is no

[GitHub] [incubator-mxnet] sxjscience commented on a change in pull request #18083: Changes to mxnet.metric

sxjscience commented on a change in pull request #18083: Changes to mxnet.metric URL: https://github.com/apache/incubator-mxnet/pull/18083#discussion_r409659282 ## File path: python/mxnet/gluon/metric.py ## @@ -1130,12 +1339,18 @@ def update(self, labels, preds):

[GitHub] [incubator-mxnet] sxjscience commented on a change in pull request #18083: Changes to mxnet.metric

sxjscience commented on a change in pull request #18083: Changes to mxnet.metric URL: https://github.com/apache/incubator-mxnet/pull/18083#discussion_r409657973 ## File path: python/mxnet/gluon/metric.py ## @@ -777,16 +815,113 @@ class F1(EvalMetric):

[incubator-mxnet] branch master updated (5c768f0 -> afae030)

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[incubator-mxnet] branch master updated (5c768f0 -> afae030)

This is an automated email from the ASF dual-hosted git repository. ptrendx pushed a change to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git. from 5c768f0 [Numpy Extension] Add stop_gradient to npx (#18076) add afae030 No tensor cores for fp32

[GitHub] [incubator-mxnet] ptrendx merged pull request #17994: Tensor cores used only for fp16 in interleaved multihead attention

ptrendx merged pull request #17994: Tensor cores used only for fp16 in interleaved multihead attention URL: https://github.com/apache/incubator-mxnet/pull/17994 This is an automated message from the Apache Git Service. To

[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17999: For mxnet-validation pipeline, require sanity build to complete successfully before running other build pipelines.

ChaiBapchya commented on issue #17999: For mxnet-validation pipeline, require sanity build to complete successfully before running other build pipelines. URL: https://github.com/apache/incubator-mxnet/pull/17999#issuecomment-614698018 @mxnet-label-bot [pr-awaiting-merge]

[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17905: [Numpy] add op unpackbits

ChaiBapchya commented on issue #17905: [Numpy] add op unpackbits URL: https://github.com/apache/incubator-mxnet/pull/17905#issuecomment-614695824 Looks like you have had to retrigger windows builds number of times because of #18015 @haojin2 @Alicia1529 do you want to tweak the

[GitHub] [incubator-mxnet] Alicia1529 commented on issue #17905: [Numpy] add op unpackbits

Alicia1529 commented on issue #17905: [Numpy] add op unpackbits URL: https://github.com/apache/incubator-mxnet/pull/17905#issuecomment-614689417 @mxnet-bot run ci [windows-gpu, windows-cpu] This is an automated message from

[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17905: [Numpy] add op unpackbits

mxnet-bot commented on issue #17905: [Numpy] add op unpackbits URL: https://github.com/apache/incubator-mxnet/pull/17905#issuecomment-614689514 Jenkins CI successfully triggered : [windows-cpu, windows-gpu] This is an

[GitHub] [incubator-mxnet] tobecontinued commented on issue #17977: Relaxing type requirements for broadcast_like

tobecontinued commented on issue #17977: Relaxing type requirements for broadcast_like URL: https://github.com/apache/incubator-mxnet/pull/17977#issuecomment-614646502 @mxnet-bot run ci [all] This is an automated message

[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17977: Relaxing type requirements for broadcast_like

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

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[GitHub] [incubator-mxnet] RuRo edited a comment on issue #17827: [Numpy] Bugfix of slice operator export (MXNet to ONNX)

RuRo edited a comment on issue #17827: [Numpy] Bugfix of slice operator export (MXNet to ONNX) URL: https://github.com/apache/incubator-mxnet/pull/17827#issuecomment-614620928 @QueensGambit I am personally interested in fixing this issue. I've also developed a fix for the `in_shape`

[GitHub] [incubator-mxnet] RuRo commented on issue #17827: [Numpy] Bugfix of slice operator export (MXNet to ONNX)

RuRo commented on issue #17827: [Numpy] Bugfix of slice operator export (MXNet to ONNX) URL: https://github.com/apache/incubator-mxnet/pull/17827#issuecomment-614620928 @QueensGambit I am personally interested in fixing this issue. I've also developed a fix for the `in_shape` problem. Can

[GitHub] [incubator-mxnet] summer-via commented on issue #7899: Need help: numpy array to mxnet ndarray is too slow.

summer-via commented on issue #7899: Need help: numpy array to mxnet ndarray is too slow. URL: https://github.com/apache/incubator-mxnet/issues/7899#issuecomment-614610353 I have the same problem, why is the nd.array() function so slow?

[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17905: [Numpy] add op unpackbits

mxnet-bot commented on issue #17905: [Numpy] add op unpackbits URL: https://github.com/apache/incubator-mxnet/pull/17905#issuecomment-614593810 Jenkins CI successfully triggered : [windows-gpu, windows-cpu] This is an

[GitHub] [incubator-mxnet] Alicia1529 commented on issue #17905: [Numpy] add op unpackbits

Alicia1529 commented on issue #17905: [Numpy] add op unpackbits URL: https://github.com/apache/incubator-mxnet/pull/17905#issuecomment-614593754 @mxnet-bot run ci [windows-gpu, windows-cpu] This is an automated message from

[GitHub] [incubator-mxnet] hzfan commented on a change in pull request #18049: [numpy] add numpy op fill_diagonal

hzfan commented on a change in pull request #18049: [numpy] add numpy op fill_diagonal URL: https://github.com/apache/incubator-mxnet/pull/18049#discussion_r409481301 ## File path: src/api/operator/numpy/np_fill_diagonal_op.cc ## @@ -0,0 +1,58 @@ +/* + * Licensed to the

[GitHub] [incubator-mxnet] mxnet-bot commented on issue #18050: Add linalg.qr backward

mxnet-bot commented on issue #18050: Add linalg.qr backward URL: https://github.com/apache/incubator-mxnet/pull/18050#issuecomment-614583715 Jenkins CI successfully triggered : [unix-gpu] This is an automated message from the

[GitHub] [incubator-mxnet] D-Roberts commented on issue #18050: Add linalg.qr backward

D-Roberts commented on issue #18050: Add linalg.qr backward URL: https://github.com/apache/incubator-mxnet/pull/18050#issuecomment-614583643 @mxnet-bot run ci [unix-gpu] This is an automated message from the Apache Git

[GitHub] [incubator-mxnet] acphile opened a new pull request #18083: Changes to mxnet.metric

acphile opened a new pull request #18083: Changes to mxnet.metric URL: https://github.com/apache/incubator-mxnet/pull/18083 ## Description ## change based on https://github.com/apache/incubator-mxnet/issues/18046 1. make improvements in metric a. improve Class MAE (and MSE,

[GitHub] [incubator-mxnet] mxnet-bot commented on issue #18083: Changes to mxnet.metric

mxnet-bot commented on issue #18083: Changes to mxnet.metric URL: https://github.com/apache/incubator-mxnet/pull/18083#issuecomment-614544916 Hey @acphile , Thanks for submitting the PR All tests are already queued to run once. If tests fail, you can trigger one or more tests again

[GitHub] [incubator-mxnet] hgt312 closed pull request #17574: [WIP][DO NOT REVIEW][Numpy] Patch for reduce overhead in naive engine

hgt312 closed pull request #17574: [WIP][DO NOT REVIEW][Numpy] Patch for reduce overhead in naive engine URL: https://github.com/apache/incubator-mxnet/pull/17574 This is an automated message from the Apache Git Service. To

[GitHub] [incubator-mxnet] nickguletskii commented on issue #18079: MXNet Python numerical scalar is truncated when we set the locale

nickguletskii commented on issue #18079: MXNet Python numerical scalar is truncated when we set the locale URL: https://github.com/apache/incubator-mxnet/issues/18079#issuecomment-614531476 Related: https://github.com/apache/incubator-mxnet/pull/17177

[GitHub] [incubator-mxnet] ElaineBao commented on issue #18064: [v1.x] Backport #17689 and #17884 to v1.x branch

ElaineBao commented on issue #18064: [v1.x] Backport #17689 and #17884 to v1.x branch URL: https://github.com/apache/incubator-mxnet/pull/18064#issuecomment-614468346 > @ElaineBao I merged the code changes of `mkldnn_pooling.cc` in PR#18067, could you please help double check for this

[GitHub] [incubator-mxnet] MoisesHer opened a new pull request #18082: Add gelu fuse ops

MoisesHer opened a new pull request #18082: Add gelu fuse ops URL: https://github.com/apache/incubator-mxnet/pull/18082 ## Description ## This PR adds into elementwise fused-operators LeakyReLU:gelu ## Checklist ## ### Essentials ### Please feel free to remove inapplicable

[GitHub] [incubator-mxnet] mxnet-bot commented on issue #18082: Add gelu fuse ops

mxnet-bot commented on issue #18082: Add gelu fuse ops URL: https://github.com/apache/incubator-mxnet/pull/18082#issuecomment-614455249 Hey @MoisesHer , Thanks for submitting the PR All tests are already queued to run once. If tests fail, you can trigger one or more tests again with

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

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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17905: [Numpy] add op unpackbits

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[GitHub] [incubator-mxnet] Alicia1529 commented on issue #17905: [Numpy] add op unpackbits

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[GitHub] [incubator-mxnet] haojin2 closed pull request #17630: Disable test_np_nan_to_num for unblocking CI

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[incubator-mxnet] branch master updated (37dbbd4 -> 5c768f0)

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[incubator-mxnet] branch master updated (37dbbd4 -> 5c768f0)

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[incubator-mxnet] branch master updated (37dbbd4 -> 5c768f0)

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[GitHub] [incubator-mxnet] haojin2 merged pull request #18076: [Numpy Extension] Add stop_gradient to npx

haojin2 merged pull request #18076: [Numpy Extension] Add stop_gradient to npx URL: https://github.com/apache/incubator-mxnet/pull/18076 This is an automated message from the Apache Git Service. To respond to the message,

[incubator-mxnet] branch master updated (94f235d -> 37dbbd4)

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[incubator-mxnet] branch master updated (94f235d -> 37dbbd4)

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[incubator-mxnet] branch master updated (94f235d -> 37dbbd4)

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[incubator-mxnet] branch master updated (94f235d -> 37dbbd4)

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[incubator-mxnet] branch master updated (94f235d -> 37dbbd4)

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