[GitHub] thbupt commented on issue #9420: add use_global_stats in nn.BatchNorm

thbupt commented on issue #9420: add use_global_stats in nn.BatchNorm URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368417931 @7oud I have the same question. I think use_global_stats=True should be used as you finetune some pretrained model such as ResNet, VGG.

[GitHub] cjolivier01 commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM

cjolivier01 commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-368417298 LGTM This is an automated message from the Apache Git

[GitHub] cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170513959 ## File path: src/nnvm/tvm_bridge.cc ## @@ -0,0 +1,180 @@ +/* + * Licensed to the

[GitHub] cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170513895 ## File path: src/nnvm/tvm_bridge.cc ## @@ -0,0 +1,180 @@ +/* + * Licensed to the

[GitHub] eric-haibin-lin opened a new pull request #9887: Non-blocking row_sparse_pull

eric-haibin-lin opened a new pull request #9887: Non-blocking row_sparse_pull URL: https://github.com/apache/incubator-mxnet/pull/9887 ## Description ## This PR adds async execution support for kv.row_sparse_pull. The operation was blocking because it requires unique row_ids, whose

[GitHub] eric-haibin-lin commented on issue #8922: fix a bug in sparse batch loader when batch size is extremely large

eric-haibin-lin commented on issue #8922: fix a bug in sparse batch loader when batch size is extremely large URL: https://github.com/apache/incubator-mxnet/pull/8922#issuecomment-368408689 Closing it for now until the test is fixed

[GitHub] eric-haibin-lin closed pull request #8922: fix a bug in sparse batch loader when batch size is extremely large

eric-haibin-lin closed pull request #8922: fix a bug in sparse batch loader when batch size is extremely large URL: https://github.com/apache/incubator-mxnet/pull/8922 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the

[GitHub] moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly?

moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly? URL: https://github.com/apache/incubator-mxnet/issues/9819#issuecomment-368396978 The network is not complex, and it's only including 5 fully connected hidden layer.

[GitHub] moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly?

moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly? URL: https://github.com/apache/incubator-mxnet/issues/9819#issuecomment-368396075 I implement the Iter as followed

[GitHub] moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly?

moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly? URL: https://github.com/apache/incubator-mxnet/issues/9819#issuecomment-368396075 I implement the Iter as followed

[GitHub] moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly?

moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly? URL: https://github.com/apache/incubator-mxnet/issues/9819#issuecomment-368395245 The test of every step's consuming has been done as followed:

[GitHub] moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly?

moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly? URL: https://github.com/apache/incubator-mxnet/issues/9819#issuecomment-368394556 My data format of one line is including dense and sparse as followed ![1519619151

[GitHub] moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly?

moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly? URL: https://github.com/apache/incubator-mxnet/issues/9819#issuecomment-368394300 My data format is including sparse

[GitHub] moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly?

moveforever commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly? URL: https://github.com/apache/incubator-mxnet/issues/9819#issuecomment-368394300 My data format is including sparse

[GitHub] tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170495717 ## File path: src/nnvm/tvm_bridge.cc ## @@ -0,0 +1,180 @@ +/* + * Licensed to the Apache

[GitHub] tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170495669 ## File path: src/nnvm/tvm_bridge.cc ## @@ -0,0 +1,180 @@ +/* + * Licensed to the Apache

[GitHub] sxjscience commented on issue #9872: A bug in an example in the python API document

sxjscience commented on issue #9872: A bug in an example in the python API document URL: https://github.com/apache/incubator-mxnet/issues/9872#issuecomment-368390268 Sorry for not submitting the fix. This is an automated

[GitHub] dotelos opened a new issue #9872: A bug in an example in the python API document

dotelos opened a new issue #9872: A bug in an example in the python API document URL: https://github.com/apache/incubator-mxnet/issues/9872 This is an example found in the doc for

[GitHub] cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170493947 ## File path: src/nnvm/tvm_bridge.cc ## @@ -0,0 +1,180 @@ +/* + * Licensed to the

[GitHub] cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170493808 ## File path: src/nnvm/tvm_bridge.cc ## @@ -0,0 +1,180 @@ +/* + * Licensed to the

[GitHub] cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170493864 ## File path: src/nnvm/tvm_bridge.cc ## @@ -0,0 +1,180 @@ +/* + * Licensed to the

[GitHub] aaronmarkham commented on a change in pull request #9878: Docs build all versions refactor

aaronmarkham commented on a change in pull request #9878: Docs build all versions refactor URL: https://github.com/apache/incubator-mxnet/pull/9878#discussion_r170493135 ## File path: docs/build_version_doc/build_all_version.sh ## @@ -59,27 +65,8 @@ for tag in $tag_list;

[GitHub] lx75249 commented on issue #9809: fix optimizer bug in CPP-Package

lx75249 commented on issue #9809: fix optimizer bug in CPP-Package URL: https://github.com/apache/incubator-mxnet/pull/9809#issuecomment-368388316 Unfortunately we don't have static constructors in c++, and that's why the initialization becomes so weird. Emulating a static constructor will

[GitHub] dotelos commented on issue #9872: A bug in an example in the python API document

dotelos commented on issue #9872: A bug in an example in the python API document URL: https://github.com/apache/incubator-mxnet/issues/9872#issuecomment-368386176 @sxjscience Please fix the example in the doc.

[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-368382610 @marcoabreu addressed the comments. The current test case already covers the API use-case of CPU and GPU of the async engine

[GitHub] tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170490477 ## File path: include/mxnet/tensor_blob.h ## @@ -36,8 +36,15 @@ #include #include

[GitHub] tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170490405 ## File path: include/mxnet/tensor_blob.h ## @@ -36,8 +36,15 @@ #include #include

[GitHub] tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170490389 ## File path: include/mxnet/tensor_blob.h ## @@ -36,8 +36,15 @@ #include #include

[GitHub] yajiedesign commented on issue #9798: fix cmake

yajiedesign commented on issue #9798: fix cmake URL: https://github.com/apache/incubator-mxnet/pull/9798#issuecomment-368384301 It should be more appropriate to use a capital name,like CUDA_TOOLSET_LIST This is an automated

[GitHub] cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170489601 ## File path: include/mxnet/tensor_blob.h ## @@ -36,8 +36,15 @@ #include #include

[GitHub] cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170489831 ## File path: include/mxnet/tensor_blob.h ## @@ -36,8 +36,15 @@ #include #include

[GitHub] cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

cjolivier01 commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170489543 ## File path: include/mxnet/tensor_blob.h ## @@ -36,8 +36,15 @@ #include #include

[GitHub] tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170489245 ## File path: tests/ci_build/install/ubuntu_install_tvm.sh ## @@ -0,0 +1,38 @@

[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-368382610 addressed the comments. The current test case already covers the API use-case of CPU and GPU of the async engine wrapping.

[GitHub] aaronmarkham commented on a change in pull request #9878: Docs build all versions refactor

aaronmarkham commented on a change in pull request #9878: Docs build all versions refactor URL: https://github.com/apache/incubator-mxnet/pull/9878#discussion_r170488869 ## File path: docs/build_version_doc/setup_docs_ubuntu.sh ## @@ -0,0 +1,42 @@ +# If you need to build

[GitHub] aaronmarkham commented on a change in pull request #9878: Docs build all versions refactor

aaronmarkham commented on a change in pull request #9878: Docs build all versions refactor URL: https://github.com/apache/incubator-mxnet/pull/9878#discussion_r170488626 ## File path: docs/build_version_doc/setup_docker.sh ## @@ -0,0 +1,17 @@ +# Setup Docker Review

[GitHub] cjolivier01 commented on a change in pull request #9798: fix cmake

cjolivier01 commented on a change in pull request #9798: fix cmake URL: https://github.com/apache/incubator-mxnet/pull/9798#discussion_r170487327 ## File path: CMakeLists.txt ## @@ -181,14 +190,6 @@ include_directories(${CMAKE_CURRENT_SOURCE_DIR}/src) if(USE_CUDA)

[GitHub] cjolivier01 commented on issue #9798: fix cmake

cjolivier01 commented on issue #9798: fix cmake URL: https://github.com/apache/incubator-mxnet/pull/9798#issuecomment-368379579 is direct usage of __cuda_toolset documented? This is an automated message from the Apache

[GitHub] cjolivier01 commented on issue #9798: fix cmake

cjolivier01 commented on issue #9798: fix cmake URL: https://github.com/apache/incubator-mxnet/pull/9798#issuecomment-368378873 btw setting a double-underscore variable like __cuda_toolset at a top level looks suspicious. I don?t know of any other cmake packages that require such a thing.

[GitHub] cjolivier01 commented on a change in pull request #9798: fix cmake

cjolivier01 commented on a change in pull request #9798: fix cmake URL: https://github.com/apache/incubator-mxnet/pull/9798#discussion_r170486378 ## File path: CMakeLists.txt ## @@ -46,6 +46,15 @@ if(USE_CUDA AND NOT USE_OLDCMAKECUDA) (${CMAKE_VERSION}

[GitHub] sunyonggang commented on issue #9622: Unable to reproduce the published mAP for example/ssd with VGGNET model VOC0712 data

sunyonggang commented on issue #9622: Unable to reproduce the published mAP for example/ssd with VGGNET model VOC0712 data URL: https://github.com/apache/incubator-mxnet/issues/9622#issuecomment-368375650 I trained the example with all default params, but gpu only 2. the example

[GitHub] TaoLv opened a new pull request #9886: Remove useless code in ndarray.h

TaoLv opened a new pull request #9886: Remove useless code in ndarray.h URL: https://github.com/apache/incubator-mxnet/pull/9886 ## Description ## Remove useless code in ndarray.h ## Checklist ## ### Essentials ### - [x] Passed code style checking (`make lint`) - [x]

[GitHub] yajiedesign commented on a change in pull request #9798: fix cmake

yajiedesign commented on a change in pull request #9798: fix cmake URL: https://github.com/apache/incubator-mxnet/pull/9798#discussion_r170477580 ## File path: CMakeLists.txt ## @@ -46,6 +46,15 @@ if(USE_CUDA AND NOT USE_OLDCMAKECUDA) (${CMAKE_VERSION}

[GitHub] yajiedesign commented on a change in pull request #9798: fix cmake

yajiedesign commented on a change in pull request #9798: fix cmake URL: https://github.com/apache/incubator-mxnet/pull/9798#discussion_r170477137 ## File path: CMakeLists.txt ## @@ -46,6 +46,15 @@ if(USE_CUDA AND NOT USE_OLDCMAKECUDA) (${CMAKE_VERSION}

[GitHub] cjolivier01 commented on a change in pull request #9798: fix cmake

cjolivier01 commented on a change in pull request #9798: fix cmake URL: https://github.com/apache/incubator-mxnet/pull/9798#discussion_r170477110 ## File path: CMakeLists.txt ## @@ -46,6 +46,15 @@ if(USE_CUDA AND NOT USE_OLDCMAKECUDA) (${CMAKE_VERSION}

[GitHub] yajiedesign commented on a change in pull request #9798: fix cmake

yajiedesign commented on a change in pull request #9798: fix cmake URL: https://github.com/apache/incubator-mxnet/pull/9798#discussion_r170477010 ## File path: CMakeLists.txt ## @@ -46,6 +46,15 @@ if(USE_CUDA AND NOT USE_OLDCMAKECUDA) (${CMAKE_VERSION}

[GitHub] ascust opened a new issue #9885: A question about Operator "crop" and "slice".

ascust opened a new issue #9885: A question about Operator "crop" and "slice". URL: https://github.com/apache/incubator-mxnet/issues/9885 In the document, it says "crop is deprecated. Use slice instead". But I think "slice" is not a complete alternative to "crop", because "crop" can use a

[GitHub] cjolivier01 commented on a change in pull request #9798: fix cmake

cjolivier01 commented on a change in pull request #9798: fix cmake URL: https://github.com/apache/incubator-mxnet/pull/9798#discussion_r170476526 ## File path: CMakeLists.txt ## @@ -46,6 +46,15 @@ if(USE_CUDA AND NOT USE_OLDCMAKECUDA) (${CMAKE_VERSION}

[GitHub] cjolivier01 commented on a change in pull request #9798: fix cmake

cjolivier01 commented on a change in pull request #9798: fix cmake URL: https://github.com/apache/incubator-mxnet/pull/9798#discussion_r170476483 ## File path: CMakeLists.txt ## @@ -47,10 +47,14 @@ if(USE_CUDA AND NOT USE_OLDCMAKECUDA) ) ) -

[GitHub] marcoabreu commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

marcoabreu commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170474738 ## File path: tests/ci_build/install/ubuntu_install_tvm.sh ## @@ -0,0 +1,38 @@

[GitHub] marcoabreu commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

marcoabreu commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170474680 ## File path: tests/ci_build/install/ubuntu_install_tvm.sh ## @@ -0,0 +1,38 @@

[GitHub] marcoabreu commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

marcoabreu commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170474564 ## File path: tests/python/gpu/test_tvm_bridge.py ## @@ -0,0 +1,57 @@ +# Licensed to

[GitHub] marcoabreu commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

marcoabreu commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170474555 ## File path: tests/python/gpu/test_tvm_bridge.py ## @@ -0,0 +1,57 @@ +# Licensed to

[GitHub] johnbroughton2017 commented on issue #9884: How to speed up prediction run time? Copying gpu->cpu takes a long time

johnbroughton2017 commented on issue #9884: How to speed up prediction run time? Copying gpu->cpu takes a long time URL: https://github.com/apache/incubator-mxnet/issues/9884#issuecomment-368356112 Follow-up. Found this more interesting. Using caffenet instead of resnet50, it looks

[GitHub] johnbroughton2017 commented on issue #9884: How to speed up prediction run time? Copying gpu->cpu takes a long time

johnbroughton2017 commented on issue #9884: How to speed up prediction run time? Copying gpu->cpu takes a long time URL: https://github.com/apache/incubator-mxnet/issues/9884#issuecomment-368356112 Follow-up. Found this more interesting. Using caffenet instead of resnet50, it looks

[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-368355290 Testcase and ci added This is an automated message from the

[GitHub] johnbroughton2017 opened a new issue #9884: How to speed up prediction run time? Copying gpu->cpu takes a long time

johnbroughton2017 opened a new issue #9884: How to speed up prediction run time? Copying gpu->cpu takes a long time URL: https://github.com/apache/incubator-mxnet/issues/9884 Hi all, Doing prediction using mxnet has two major part: forward pass and copy results from gpu to cpu

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

marcoabreu commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-368342939 Don't worry about that. We are currently looking into ccache integration which should reduce the impact by a lot -

[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-368342384 I just mean the cost of building TVM's LLVM dependency. I don't want to directly introduce additional burden to the CI while

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

marcoabreu commented on issue #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#issuecomment-368341971 I don't see any issues in building a dependency, we're doing this for a lot of cases. The test execution would be part of

[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-368341749 This being said, I totally agree that having proper testing is important. That is why there is already test-cases that get

[GitHub] marcoabreu commented on issue #9883: added function for loading content of nd_array files

marcoabreu commented on issue #9883: added function for loading content of nd_array files URL: https://github.com/apache/incubator-mxnet/pull/9883#issuecomment-368341672 Exactly, usually we test the C Backend in python. I'm not familiar with the Cpp package, but maybe that could be

[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-368341278 Just to be clear, it is the way TVM bridge works that starts this special situation. This PR requires joint changes in both

[GitHub] dabraude commented on issue #9883: added function for loading content of nd_array files

dabraude commented on issue #9883: added function for loading content of nd_array files URL: https://github.com/apache/incubator-mxnet/pull/9883#issuecomment-368341114 @marcoabreu Where should the test case be? With grep I couldn't find the C ones for loading an array only the ones in

[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-368338632 I have detailed my reasoning of but yet adding test-case to this PR. The TVM bridge depends on a header only component of TVM

[GitHub] tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

tqchen commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170464450 ## File path: python/mxnet/ndarray/ndarray.py ## @@ -174,8 +174,14 @@ class

[GitHub] szha commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM

szha commented on a change in pull request #9880: TVM bridge support to JIT NDArray Function by TVM URL: https://github.com/apache/incubator-mxnet/pull/9880#discussion_r170464185 ## File path: python/mxnet/ndarray/ndarray.py ## @@ -174,8 +174,14 @@ class

[GitHub] dabraude commented on a change in pull request #9883: added function for loading content of nd_array files

dabraude commented on a change in pull request #9883: added function for loading content of nd_array files URL: https://github.com/apache/incubator-mxnet/pull/9883#discussion_r170463783 ## File path: src/c_api/c_api.cc ## @@ -322,6 +322,38 @@ int MXNDArrayLoad(const char*

[GitHub] dabraude commented on a change in pull request #9883: added function for loading content of nd_array files

dabraude commented on a change in pull request #9883: added function for loading content of nd_array files URL: https://github.com/apache/incubator-mxnet/pull/9883#discussion_r170463743 ## File path: src/c_api/c_api.cc ## @@ -322,6 +322,38 @@ int MXNDArrayLoad(const char*

[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-368327775 The test now pass, @piiswrong @szha can you review? This is

[GitHub] cjolivier01 commented on a change in pull request #9883: added function for loading content of nd_array files

cjolivier01 commented on a change in pull request #9883: added function for loading content of nd_array files URL: https://github.com/apache/incubator-mxnet/pull/9883#discussion_r170460340 ## File path: src/c_api/c_api.cc ## @@ -322,6 +322,38 @@ int MXNDArrayLoad(const

[GitHub] cjolivier01 commented on a change in pull request #9883: added function for loading content of nd_array files

cjolivier01 commented on a change in pull request #9883: added function for loading content of nd_array files URL: https://github.com/apache/incubator-mxnet/pull/9883#discussion_r170460309 ## File path: src/c_api/c_api.cc ## @@ -322,6 +322,38 @@ int MXNDArrayLoad(const

[GitHub] cjolivier01 commented on a change in pull request #9883: added function for loading content of nd_array files

cjolivier01 commented on a change in pull request #9883: added function for loading content of nd_array files URL: https://github.com/apache/incubator-mxnet/pull/9883#discussion_r170460275 ## File path: src/c_api/c_api.cc ## @@ -322,6 +322,38 @@ int MXNDArrayLoad(const

[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-368327775 The r test factor appears to be not related to this commit.

[GitHub] dabraude commented on issue #9860: [WIP] CMake NNPack support

dabraude commented on issue #9860: [WIP] CMake NNPack support URL: https://github.com/apache/incubator-mxnet/pull/9860#issuecomment-368323497 @cjolivier01 I need to create a thread pool for NNPack, should I do something similar to the CpuEngine which is used by MKLDNN?

[GitHub] 7oud commented on issue #9420: add use_global_stats in nn.BatchNorm

7oud commented on issue #9420: add use_global_stats in nn.BatchNorm URL: https://github.com/apache/incubator-mxnet/pull/9420#issuecomment-368320260 @szha @tornadomeet if training with use_global_stats=True, it seemed all the moving_mean = 0 and moving_var = 1 in the trained model, is is

[GitHub] eric-haibin-lin commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly?

eric-haibin-lin commented on issue #9819: Sometime MXDataIter load data quickly, sometime it load data slowly? URL: https://github.com/apache/incubator-mxnet/issues/9819#issuecomment-368314938 I think discuss.mxnet.io is a good place to discuss questions like this. How did you

[GitHub] iblis17 commented on issue #9677: Refactor operators and add MKLDNN

iblis17 commented on issue #9677: Refactor operators and add MKLDNN URL: https://github.com/apache/incubator-mxnet/pull/9677#issuecomment-368280425 @marcoabreu About the reason of hosting Julia code in another repository, Julia's package manager is built on top of git, and it

[GitHub] dabraude opened a new pull request #9883: added function for loading content of nd_array files

dabraude opened a new pull request #9883: added function for loading content of nd_array files URL: https://github.com/apache/incubator-mxnet/pull/9883 ## Description ## Adds a function for loading the content of an NDArray file. ## Checklist ## ### Essentials ### - [ ]

[incubator-mxnet] branch master updated: remove MKL_EXPERIMENTAL and update make files for MKL-DNN (#9810)

This is an automated email from the ASF dual-hosted git repository. marcoabreu pushed a commit to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git The following commit(s) were added to refs/heads/master by this push: new 5c5a904 remove MKL_EXPERIMENTAL

[GitHub] marcoabreu closed pull request #9810: remove MKL_EXPERIMENTAL and update make files for MKL-DNN

marcoabreu closed pull request #9810: remove MKL_EXPERIMENTAL and update make files for MKL-DNN URL: https://github.com/apache/incubator-mxnet/pull/9810 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

[GitHub] eric-haibin-lin opened a new pull request #9882: Add force_deterministic option for sparse embedding

eric-haibin-lin opened a new pull request #9882: Add force_deterministic option for sparse embedding URL: https://github.com/apache/incubator-mxnet/pull/9882 ## Description ## (Brief description on what this PR is about) reopen #9846 ## Checklist ## ### Essentials ### -

[GitHub] eric-haibin-lin closed pull request #9846: [WIP] Fix non-determinism in sparse embedding

eric-haibin-lin closed pull request #9846: [WIP] Fix non-determinism in sparse embedding URL: https://github.com/apache/incubator-mxnet/pull/9846 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:

[GitHub] eric-haibin-lin opened a new issue #9881: Inconsistent weight decay logics in multiple optimizers

eric-haibin-lin opened a new issue #9881: Inconsistent weight decay logics in multiple optimizers URL: https://github.com/apache/incubator-mxnet/issues/9881 ### wd applied before clip_gradient by the optimizer - RMSProp - Adamax - Nadam - FTML ### wd applied after