[GitHub] solin319 opened a new issue #10060: Does mxnet.image suppor s3?

solin319 opened a new issue #10060: Does mxnet.image suppor s3? URL: https://github.com/apache/incubator-mxnet/issues/10060 Can we use mxnet.image to read file from s3 ? This is an automated message from the Apache Git Service

[GitHub] szha opened a new pull request #10061: CorpusReader

szha opened a new pull request #10061: CorpusReader URL: https://github.com/apache/incubator-mxnet/pull/10061 ## Description ## Add CorpusReader. ## Checklist ## ### Essentials ### - [x] Passed code style checking (`make lint`) - [x] Changes are complete (i.e. I finished c

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621454 ## File path: src/operator/random/shuffle_op.cc ## @@ -0,0 +1,132 @@ +/* + * Licensed to the Ap

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621460 ## File path: src/operator/random/shuffle_op.cc ## @@ -0,0 +1,132 @@ +/* + * Licensed to the Ap

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621477 ## File path: src/operator/random/shuffle_op.cc ## @@ -0,0 +1,132 @@ +/* + * Licensed to the Ap

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621458 ## File path: src/operator/random/shuffle_op.cc ## @@ -0,0 +1,132 @@ +/* + * Licensed to the Ap

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621465 ## File path: src/operator/random/shuffle_op.cc ## @@ -0,0 +1,132 @@ +/* + * Licensed to the Ap

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621498 ## File path: src/operator/random/shuffle_op.cu ## @@ -0,0 +1,106 @@ +/* + * Licensed to the Ap

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621503 ## File path: src/operator/random/shuffle_op.cu ## @@ -0,0 +1,106 @@ +/* + * Licensed to the Ap

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621507 ## File path: src/operator/random/shuffle_op.cu ## @@ -0,0 +1,106 @@ +/* + * Licensed to the Ap

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621510 ## File path: src/operator/random/shuffle_op.cu ## @@ -0,0 +1,106 @@ +/* + * Licensed to the Ap

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621629 ## File path: src/operator/random/shuffle_op.cc ## @@ -0,0 +1,132 @@ +/* + * Licensed to the Ap

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621629 ## File path: src/operator/random/shuffle_op.cc ## @@ -0,0 +1,132 @@ +/* + * Licensed to the Ap

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621658 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,56 @@ def compute_expected

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621707 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,56 @@ def compute_expected

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621923 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,56 @@ def compute_expected

[GitHub] marcoabreu commented on issue #9677: Refactor operators and add MKLDNN

marcoabreu commented on issue #9677: Refactor operators and add MKLDNN URL: https://github.com/apache/incubator-mxnet/pull/9677#issuecomment-366072856 Okay, thanks for elaborating. I think we should address this at a later point in time Independent of this PR. -

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621658 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,56 @@ def compute_expected

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621658 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,56 @@ def compute_expected

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621707 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,56 @@ def compute_expected

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621923 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,56 @@ def compute_expected

[GitHub] asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

asitstands commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173621707 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,56 @@ def compute_expected

[GitHub] eric-haibin-lin opened a new pull request #10062: [MXNET-72] [WIP] Improve sparse.adam_update

eric-haibin-lin opened a new pull request #10062: [MXNET-72] [WIP] Improve sparse.adam_update URL: https://github.com/apache/incubator-mxnet/pull/10062 ## Description ## Fix https://discuss.mxnet.io/t/lazy-update-with-adam-optimizer-is-much-slower-for-sparse-input/724 Many kerne

[GitHub] hdjsjyl commented on issue #6692: how to debug network layer by layer

hdjsjyl commented on issue #6692: how to debug network layer by layer URL: https://github.com/apache/incubator-mxnet/issues/6692#issuecomment-372053938 @Godricly thanks for your advice. But when I use the code, It has error: Check failed: reinterpret_cast(params.info->callbacks[kCustomOp

[GitHub] jwfromm commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM

jwfromm commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-372064617 Really like this feature, but am having some trouble getting to work. Even with MXNet and TVM both built from source, I'm gett

[GitHub] hdjsjyl commented on issue #6751: [Custom op backward] Crashed when manipulate out_grad

hdjsjyl commented on issue #6751: [Custom op backward] Crashed when manipulate out_grad URL: https://github.com/apache/incubator-mxnet/issues/6751#issuecomment-372065853 @Zehaos have you solved the problems, my out_grad is none. Any advice will be appreciated ---

[GitHub] tqchen commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM

tqchen commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-372068312 @jwfromm We do need to build MXNet from source for now before next release. This should work out of the box if you build

[GitHub] tqchen commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM

tqchen commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-372068312 @jwfromm We do need to build MXNet from source for now before next release. This should work out of box if you build MXNe

[GitHub] szha closed issue #8853: 5 Different issues created for the same problem and yet no solution

szha closed issue #8853: 5 Different issues created for the same problem and yet no solution URL: https://github.com/apache/incubator-mxnet/issues/8853 This is an automated message from the Apache Git Service. To respond to

[GitHub] sxjscience closed pull request #10061: CorpusReader

sxjscience closed pull request #10061: CorpusReader URL: https://github.com/apache/incubator-mxnet/pull/10061 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign pull request (from

[incubator-mxnet] branch nlp_toolkit updated: CorpusReader (#10061)

This is an automated email from the ASF dual-hosted git repository. sxjscience pushed a commit to branch nlp_toolkit in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git The following commit(s) were added to refs/heads/nlp_toolkit by this push: new 453fc23 CorpusReader (#1

[GitHub] sxjscience commented on issue #8884: forward can't run parallelly using multi-gpus when custom operator using numpy

sxjscience commented on issue #8884: forward can't run parallelly using multi-gpus when custom operator using numpy URL: https://github.com/apache/incubator-mxnet/issues/8884#issuecomment-372073420 Does this problem still exist? There is a recent PR about this problem https://github.com

[GitHub] sxjscience commented on issue #9950: [OP] LayerNorm in MXNet

sxjscience commented on issue #9950: [OP] LayerNorm in MXNet URL: https://github.com/apache/incubator-mxnet/issues/9950#issuecomment-372073484 Solved in #10029 This is an automated message from the Apache Git Service. To resp

[GitHub] sxjscience closed issue #9950: [OP] LayerNorm in MXNet

sxjscience closed issue #9950: [OP] LayerNorm in MXNet URL: https://github.com/apache/incubator-mxnet/issues/9950 This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and u

[GitHub] lutzroeder opened a new issue #10063: Documentation API or file

lutzroeder opened a new issue #10063: Documentation API or file URL: https://github.com/apache/incubator-mxnet/issues/10063 Is there an API or machine readable file to get documentation for the various operators (description, attributes, inputs and outputs) similar to `ops.txt` in TensorFl

[GitHub] sxjscience opened a new issue #10064: Explaining `need_top_grad` and `declare_backward_dependency` in the documentation of CustomOp by

sxjscience opened a new issue #10064: Explaining `need_top_grad` and `declare_backward_dependency` in the documentation of CustomOp by URL: https://github.com/apache/incubator-mxnet/issues/10064 The current documentations of CustomOp have not explained the meaning of `need_top_grad` and `

[GitHub] MoritzMaxeiner commented on issue #8836: Backward shape inconsistent with custom HybridBlock and gluon.loss

MoritzMaxeiner commented on issue #8836: Backward shape inconsistent with custom HybridBlock and gluon.loss URL: https://github.com/apache/incubator-mxnet/issues/8836#issuecomment-372075664 For what it's worth, I don't have this issue with MXNet 1.0.0 nor 1.1.0, but I don't know if that's

[GitHub] sxjscience commented on issue #8836: Backward shape inconsistent with custom HybridBlock and gluon.loss

sxjscience commented on issue #8836: Backward shape inconsistent with custom HybridBlock and gluon.loss URL: https://github.com/apache/incubator-mxnet/issues/8836#issuecomment-372076287 @MoritzMaxeiner The issue somehow does not exist any more and I'm going to close it. However, the root

[GitHub] anirudh2290 commented on issue #10041: Reduce operators do not support axis=None

anirudh2290 commented on issue #10041: Reduce operators do not support axis=None URL: https://github.com/apache/incubator-mxnet/issues/10041#issuecomment-372077580 This doesn't seem to be specific to sum/mean ops as I was also able to reproduce it with prod. Which version of MXNet supporte

[GitHub] sxjscience commented on issue #10041: Reduce operators do not support axis=None

sxjscience commented on issue #10041: Reduce operators do not support axis=None URL: https://github.com/apache/incubator-mxnet/issues/10041#issuecomment-372077883 Should be some very old version (way before 0.11). We need to consider to revise the code to support this now. ---

[GitHub] jwfromm commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM

jwfromm commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-372078556 You're absolutely right, I was accidentally overwriting the built from source library with a pip install. Works great now! --

[GitHub] rahul003 commented on issue #10055: Added tutorial on how to use data augmenters.

rahul003 commented on issue #10055: Added tutorial on how to use data augmenters. URL: https://github.com/apache/incubator-mxnet/pull/10055#issuecomment-372081845 The filename and location (`docs/tutorials/python/using_data_augmenters/Methods of applying data augmentation.md`) are awkward

[GitHub] yajiedesign commented on issue #8951: Not all latest version has prebuild binary for Windows on PyPI

yajiedesign commented on issue #8951: Not all latest version has prebuild binary for Windows on PyPI URL: https://github.com/apache/incubator-mxnet/issues/8951#issuecomment-372084245 I'm now bothering the size of a huge file. The file is too large to can not be uploaded to pypi.

[GitHub] reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173643776 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,79 @@ def compute_expected_

[GitHub] reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173643881 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,79 @@ def compute_expected_

[GitHub] reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173643569 ## File path: src/operator/random/shuffle_op.cc ## @@ -0,0 +1,132 @@ +/* + * Licensed to the Apa

[GitHub] reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173644020 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,56 @@ def compute_expected_

[GitHub] reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173643816 ## File path: tests/python/unittest/test_random.py ## @@ -552,6 +554,79 @@ def compute_expected_

[GitHub] reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation

reminisce commented on a change in pull request #10048: [MXNET-68] Random shuffle implementation URL: https://github.com/apache/incubator-mxnet/pull/10048#discussion_r173643638 ## File path: src/operator/random/shuffle_op.cc ## @@ -0,0 +1,134 @@ +/* + * Licensed to the Apa

[GitHub] Chiragrankja456 commented on issue #10038: MxNet with R on Windows : DiagrammeR dependency isn't resolved properly

Chiragrankja456 commented on issue #10038: MxNet with R on Windows : DiagrammeR dependency isn't resolved properly URL: https://github.com/apache/incubator-mxnet/issues/10038#issuecomment-372091823 @jeremiedb I was facing the same issue. install.packages("https://github.com/jeremiedb/m