[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17067: Scala flaky test: testObjectDetectionExample and GanExampleSuite

ChaiBapchya commented on issue #17067: Scala flaky test: testObjectDetectionExample and GanExampleSuite URL: https://github.com/apache/incubator-mxnet/issues/17067#issuecomment-585361009 Another one - http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix

[GitHub] [incubator-mxnet] a550461053 commented on issue #17486: Update CustomOp doc with changes for GPU support

a550461053 commented on issue #17486: Update CustomOp doc with changes for GPU support URL: https://github.com/apache/incubator-mxnet/pull/17486#issuecomment-585356310 > > Hi, @rondogency I am trying to use the dynamic operator and have some questions. > > How can we use `mxnet::NDArray

[GitHub] [incubator-mxnet] D-Roberts closed issue #17529: np.random.gamma(1, 0) and np.random.gamma(0, 0) hang

D-Roberts closed issue #17529: np.random.gamma(1,0) and np.random.gamma(0,0) hang URL: https://github.com/apache/incubator-mxnet/issues/17529 This is an automated message from the Apache Git Service. To respond to the messag

[incubator-mxnet] branch master updated (0779304 -> c9c5a13)

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 0779304 Implement remaining nn_activation ops in opperf (#17475) add c9c5a13 Added run_perf_test f

[incubator-mxnet] branch master updated (0779304 -> c9c5a13)

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 0779304 Implement remaining nn_activation ops in opperf (#17475) add c9c5a13 Added run_perf_test f

[incubator-mxnet] branch master updated (bdd34e9 -> 0779304)

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 bdd34e9 pin Sphinx due to autodocsumm issue with v4.2.0 (#17561) add 0779304 Implement remaining n

[GitHub] [incubator-mxnet] connorgoggins commented on a change in pull request #17449: Implemented large tensor flag for opperf testing

connorgoggins commented on a change in pull request #17449: Implemented large tensor flag for opperf testing URL: https://github.com/apache/incubator-mxnet/pull/17449#discussion_r378430775 ## File path: benchmark/opperf/nd_operations/gemm_operators.py ## @@ -55,33 +57,62 @

[incubator-mxnet] branch master updated (bdd34e9 -> 0779304)

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 bdd34e9 pin Sphinx due to autodocsumm issue with v4.2.0 (#17561) add 0779304 Implement remaining n

[GitHub] [incubator-mxnet] apeforest merged pull request #17500: [OpPerf] Implement remaining nn_conv ops in opperf

apeforest merged pull request #17500: [OpPerf] Implement remaining nn_conv ops in opperf URL: https://github.com/apache/incubator-mxnet/pull/17500 This is an automated message from the Apache Git Service. To respond to the m

[GitHub] [incubator-mxnet] apeforest merged pull request #17475: Implement remaining nn_activation ops in opperf

apeforest merged pull request #17475: Implement remaining nn_activation ops in opperf URL: https://github.com/apache/incubator-mxnet/pull/17475 This is an automated message from the Apache Git Service. To respond to the mess

[GitHub] [incubator-mxnet] djaym7 commented on issue #17518: MaskRCNN can't export -- solution attached

djaym7 commented on issue #17518: MaskRCNN can't export -- solution attached URL: https://github.com/apache/incubator-mxnet/issues/17518#issuecomment-585335950 One has to skip loading those 2 parameters while exporting manually.

[GitHub] [incubator-mxnet] aidan-plenert-macdonald commented on issue #8148: How do I interpret the JSON compute graph?

aidan-plenert-macdonald commented on issue #8148: How do I interpret the JSON compute graph? URL: https://github.com/apache/incubator-mxnet/issues/8148#issuecomment-585335119 Found the documentation here https://docs.tvm.ai/dev/nnvm_json_spec.html#nodes. It's not super helpful. Yo

[GitHub] [incubator-mxnet] connorgoggins commented on a change in pull request #17542: [OpPerf] Add norm, cast ops, remaining optimizer ops

connorgoggins commented on a change in pull request #17542: [OpPerf] Add norm, cast ops, remaining optimizer ops URL: https://github.com/apache/incubator-mxnet/pull/17542#discussion_r378416896 ## File path: benchmark/opperf/rules/default_params.py ## @@ -31,6 +31,7 @@ #

[GitHub] [incubator-mxnet] ChiaraXian commented on issue #8148: How do I interpret the JSON compute graph?

ChiaraXian commented on issue #8148: How do I interpret the JSON compute graph? URL: https://github.com/apache/incubator-mxnet/issues/8148#issuecomment-585321855 @aidan-plenert-macdonald Thank you for your code. But I still wonder the index and version in the list of inputs. [node_id, inde

[GitHub] [incubator-mxnet] szha commented on a change in pull request #17376: [MXNET-1404] Implement storage tagging, the first half of the memory profiler

szha commented on a change in pull request #17376: [MXNET-1404] Implement storage tagging, the first half of the memory profiler URL: https://github.com/apache/incubator-mxnet/pull/17376#discussion_r372102800 ## File path: src/ndarray/ndarray.cc ## @@ -183,7 +191,9 @@ NDAr

[GitHub] [incubator-mxnet] szha commented on a change in pull request #17376: [MXNET-1404] Implement storage tagging, the first half of the memory profiler

szha commented on a change in pull request #17376: [MXNET-1404] Implement storage tagging, the first half of the memory profiler URL: https://github.com/apache/incubator-mxnet/pull/17376#discussion_r372126439 ## File path: src/ndarray/ndarray.cc ## @@ -193,7 +203,9 @@ NDAr

[GitHub] [incubator-mxnet] TaoLv commented on issue #17576: Fix storage type infer of softmax backward

TaoLv commented on issue #17576: Fix storage type infer of softmax backward URL: https://github.com/apache/incubator-mxnet/pull/17576#issuecomment-585283340 @eric-haibin-lin Could you please try it out? I cannot create a simple case to reproduce the error. -

[GitHub] [incubator-mxnet] TaoLv opened a new pull request #17576: Fix storage type infer of softmax backward

TaoLv opened a new pull request #17576: Fix storage type infer of softmax backward URL: https://github.com/apache/incubator-mxnet/pull/17576 ## Description ## This PR fixes an issue introduced by #17170 , which causes below error when fine-tuning a bert model with latest gluonnlp and mx

[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 57f9101 Bump the publis

[GitHub] [incubator-mxnet] xidulu commented on issue #17441: [Numpy] check for alpha, beta parameter non-negativity in np.gamma

xidulu commented on issue #17441: [Numpy] check for alpha,beta parameter non-negativity in np.gamma URL: https://github.com/apache/incubator-mxnet/pull/17441#issuecomment-585165328 Hi, @ChaiBapchya I've submitted a patch fixing this issue, you could close this PR if you want. htt

[GitHub] [incubator-mxnet] xidulu opened a new pull request #17575: [Numpy] Add gamma param check

xidulu opened a new pull request #17575: [Numpy] Add gamma param check URL: https://github.com/apache/incubator-mxnet/pull/17575 ## Description ## Raise value error exception when either shape or scale is **less or equal** to zero. ## Checklist ## ### Essentials ### Plea

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

hgt312 opened a new pull request #17574: [WIP][DO NOT REVIEW][Numpy] Patch for reduce overhead in naive engine URL: https://github.com/apache/incubator-mxnet/pull/17574 ## Description ## (Brief description on what this PR is about) ## Checklist ## ### Essentials ### Please f

[GitHub] [incubator-mxnet] hgt312 commented on a change in pull request #17510: MXNet FFI for Operator Imperative Invocation

hgt312 commented on a change in pull request #17510: MXNet FFI for Operator Imperative Invocation URL: https://github.com/apache/incubator-mxnet/pull/17510#discussion_r378111436 ## File path: python/mxnet/_ffi/runtime_ctypes.py ## @@ -0,0 +1,29 @@ +# Licensed to the Apache

[GitHub] [incubator-mxnet] hgt312 commented on a change in pull request #17510: MXNet FFI for Operator Imperative Invocation

hgt312 commented on a change in pull request #17510: MXNet FFI for Operator Imperative Invocation URL: https://github.com/apache/incubator-mxnet/pull/17510#discussion_r378111558 ## File path: python/mxnet/_global_var.py ## @@ -0,0 +1,29 @@ +# Licensed to the Apache Softwar

[GitHub] [incubator-mxnet] hgt312 commented on a change in pull request #17510: MXNet FFI for Operator Imperative Invocation

hgt312 commented on a change in pull request #17510: MXNet FFI for Operator Imperative Invocation URL: https://github.com/apache/incubator-mxnet/pull/17510#discussion_r378110311 ## File path: python/mxnet/_ffi/_ctypes/object.py ## @@ -0,0 +1,76 @@ +# Licensed to the Apache

[GitHub] [incubator-mxnet] hgt312 commented on a change in pull request #17510: MXNet FFI for Operator Imperative Invocation

hgt312 commented on a change in pull request #17510: MXNet FFI for Operator Imperative Invocation URL: https://github.com/apache/incubator-mxnet/pull/17510#discussion_r378110551 ## File path: python/mxnet/_ffi/_ctypes/types.py ## @@ -0,0 +1,57 @@ +# Licensed to the Apache

[GitHub] [incubator-mxnet] connorgoggins commented on issue #17511: Implement all miscellaneous ops

connorgoggins commented on issue #17511: Implement all miscellaneous ops URL: https://github.com/apache/incubator-mxnet/pull/17511#issuecomment-585087784 @ChaiBapchya makes sense. The reason I chose `SetValueOp` was because the only other option in the profiler output was `DeleteVariable`.

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