ZhennanQin commented on issue #14715: mxnet.base.MXNetError: [10:30:40]
src/io/iter_image_det_recordio.cc:326: ImageDetRecordIOParser: label_pad_width:
300 smaller than estimated width: 338
URL:
https://github.com/apache/incubator-mxnet/issues/14715#issuecomment-483945112
I guess you're
ZhennanQin commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276085462
##
File path: src/operator/quantization/mkldnn/mkldnn_dequantize-inl.h
##
@@ -26,82
ZhennanQin commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276085424
##
File path: src/operator/quantization/mkldnn/mkldnn_quantize_v2-inl.h
##
@@ -137,21
vladoovtcharov commented on issue #14252: Allow clearing gpu cache
URL: https://github.com/apache/incubator-mxnet/pull/14252#issuecomment-483937999
I went ahead and split into two merge requests, as requested. The second is
here (https://github.com/apache/incubator-mxnet/pull/14716)
vladoovtcharov opened a new pull request #14716: Add unpooled gpu memory type
URL: https://github.com/apache/incubator-mxnet/pull/14716
Adds option to configure mxnet to use unpooled gpu memory
This is an automated
KellenSunderland commented on a change in pull request #12328: [WIP]
[MXNET-857] Add initial NVTX profiler implementation
URL: https://github.com/apache/incubator-mxnet/pull/12328#discussion_r276079107
##
File path: tests/python/profiling/test_nvtx.py
##
@@ -0,0 +1,36 @@
reminisce commented on issue #14560: min fix of 'storage_type' index mismatch
URL: https://github.com/apache/incubator-mxnet/pull/14560#issuecomment-483936375
Please rebase and retrigger CI.
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anirudh2290 commented on issue #14711: Disable USE_GPERFTOOLS by default
URL: https://github.com/apache/incubator-mxnet/pull/14711#issuecomment-483930167
> I guess it was decided by an individual as there is significant
performance benefit in using alternative malloc. It wasn't thoroughly
KellenSunderland commented on a change in pull request #14709: Fix spelling in
threaded_engine_test
URL: https://github.com/apache/incubator-mxnet/pull/14709#discussion_r276071195
##
File path: tests/cpp/engine/threaded_engine_test.cc
##
@@ -103,10 +103,10 @@ double
KellenSunderland closed pull request #13906: [MXNET-703] Update onnx-tensorrt
for int8/fp16 support
URL: https://github.com/apache/incubator-mxnet/pull/13906
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KellenSunderland commented on issue #14040: Reformat of TensorRT to use
subgraph API
URL: https://github.com/apache/incubator-mxnet/pull/14040#issuecomment-483926724
Ok issue that was tripping up our tests has been fixed. Would you be able
to do another rebase (sorry) and then we should
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new 3e2f752 Reference engine from chunk
KellenSunderland merged pull request #14591: Reference engine from chunk via
weak pointer
URL: https://github.com/apache/incubator-mxnet/pull/14591
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pengzhao-intel commented on issue #14713: MKLDNN RNN Inference Integration(fp32
LSTM and vRNN with tanh and relu)
URL: https://github.com/apache/incubator-mxnet/pull/14713#issuecomment-483925158
@lihaofd We need to upgrade MKL-DNN by a separated PR but you can use this
PR for the CI
zhanghang1989 commented on issue #11502: [MXNET-614] Adding Synchronized Batch
Normalization
URL: https://github.com/apache/incubator-mxnet/pull/11502#issuecomment-483923046
Asked here
https://github.com/apache/incubator-mxnet/issues/8458#issuecomment-483922861
zhanghang1989 commented on issue #8458: Synchronized Batch normalization in
multi GPUs training
URL:
https://github.com/apache/incubator-mxnet/issues/8458#issuecomment-483922861
The SyncBN does reduce the speed due to synchronization for every BN layer
during both forward and backward.
stephenrawls commented on issue #14208: Add support for fast variable-length
LSTM
URL: https://github.com/apache/incubator-mxnet/pull/14208#issuecomment-483922709
FYI I am looking at this. I have my changes rebased against the latest
changes from master now, and updated to fit the new
pengwangucla commented on issue #11502: [MXNET-614] Adding Synchronized Batch
Normalization
URL: https://github.com/apache/incubator-mxnet/pull/11502#issuecomment-483922259
HI Hang, I used your sync_bn implementation for mxnet symbol. However, it
reduced the performance of my network. I
pengwangucla commented on issue #8458: Synchronized Batch normalization in
multi GPUs training
URL:
https://github.com/apache/incubator-mxnet/issues/8458#issuecomment-483922116
> There is no easy way to solve Sync BN. I have implemented it using PyTorch
QJXX opened a new issue #14715: mxnet.base.MXNetError: [10:30:40]
src/io/iter_image_det_recordio.cc:326: ImageDetRecordIOParser: label_pad_width:
300 smaller than estimated width: 338
URL: https://github.com/apache/incubator-mxnet/issues/14715
Traceback (most recent call last):
File
anirudhacharya commented on issue #14503: API to create RecordIO files
URL: https://github.com/apache/incubator-mxnet/pull/14503#issuecomment-483918941
> @anirudhacharya Thanks for working on this. Can you please add some more
unit tests, integration test as an example and tutorial for
anirudh2290 commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276060426
##
File path: src/operator/quantization/mkldnn/mkldnn_quantize_v2-inl.h
##
@@
ZhennanQin commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276058197
##
File path: src/operator/quantization/mkldnn/mkldnn_quantize_v2-inl.h
##
@@ -137,21
anirudh2290 commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276056067
##
File path: src/operator/quantization/quantize_v2.cc
##
@@ -47,6 +47,22 @@ static
ZhennanQin commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276055413
##
File path: src/operator/quantization/quantize_v2.cc
##
@@ -47,6 +47,22 @@ static
anirudh2290 commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276054501
##
File path: src/operator/quantization/quantize_v2.cc
##
@@ -47,6 +47,22 @@ static
KellenSunderland edited a comment on issue #14591: Reference engine from chunk
via weak pointer
URL: https://github.com/apache/incubator-mxnet/pull/14591#issuecomment-483904042
@anirudh2290 Rebased and moved the test into its own fixture, should be
ready for another look.
KellenSunderland commented on issue #14591: Reference engine from chunk via
weak pointer
URL: https://github.com/apache/incubator-mxnet/pull/14591#issuecomment-483904042
@anirudh2290 Moved the test into its own fixture, should be ready for
another look.
anirudh2290 commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276051592
##
File path: src/operator/quantization/mkldnn/mkldnn_quantize_v2-inl.h
##
@@
chengzhengxin opened a new pull request #14714: inference using fp16 for c++
api
URL: https://github.com/apache/incubator-mxnet/pull/14714
## Description ##
Load weights according dtype, it's ok for inference fp16 weights.
anirudh2290 commented on a change in pull request #14173: [WIP] MXNet AMP
(automatic mixed precision)
URL: https://github.com/apache/incubator-mxnet/pull/14173#discussion_r276049500
##
File path: python/mxnet/amp/amp.py
##
@@ -0,0 +1,303 @@
+# Licensed to the Apache
ZhennanQin commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276049254
##
File path: src/operator/quantization/mkldnn/mkldnn_dequantize-inl.h
##
@@ -26,82
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ZhennanQin commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276048906
##
File path: src/operator/quantization/mkldnn/mkldnn_quantize_v2-inl.h
##
@@ -137,21
lihaofd opened a new pull request #14713: MKLDNN RNN Inference Integration(fp32
lstm and vRNN with tanh and relu)
URL: https://github.com/apache/incubator-mxnet/pull/14713
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new a26ad37 Disable USE_GPERFTOOLS
pengzhao-intel merged pull request #14711: Disable USE_GPERFTOOLS by default
URL: https://github.com/apache/incubator-mxnet/pull/14711
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pengzhao-intel commented on issue #14711: Disable USE_GPERFTOOLS by default
URL: https://github.com/apache/incubator-mxnet/pull/14711#issuecomment-483898385
Merging now since the BOSS agree :)
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ZhennanQin commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276045369
##
File path: src/operator/quantization/quantize_v2.cc
##
@@ -47,6 +47,22 @@ static
eric-haibin-lin commented on a change in pull request #14243: Fix commands to
make doc consistent
URL: https://github.com/apache/incubator-mxnet/pull/14243#discussion_r276039430
##
File path: python/mxnet/ndarray_doc.py
##
@@ -54,6 +54,268 @@ class ReshapeDoc(NDArrayDoc):
eric-haibin-lin commented on a change in pull request #14243: Fix commands to
make doc consistent
URL: https://github.com/apache/incubator-mxnet/pull/14243#discussion_r276039430
##
File path: python/mxnet/ndarray_doc.py
##
@@ -54,6 +54,268 @@ class ReshapeDoc(NDArrayDoc):
anirudh2290 commented on issue #14159: [Feature Request] Support fp16 for c++
api
URL:
https://github.com/apache/incubator-mxnet/issues/14159#issuecomment-483883108
The backend of MXNet is exposed via C APIs for different modules like
ndarray, executor, symbol, dependency engine etc. The
anirudh2290 commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276028240
##
File path: src/operator/quantization/mkldnn/mkldnn_dequantize-inl.h
##
@@ -26,82
anirudh2290 commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276028188
##
File path: src/operator/quantization/mkldnn/mkldnn_quantize_v2-inl.h
##
@@
anirudh2290 commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276027709
##
File path: src/operator/quantization/mkldnn/mkldnn_dequantize-inl.h
##
@@ -26,82
anirudh2290 commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276025857
##
File path: src/operator/quantization/quantize_v2.cc
##
@@ -47,6 +47,22 @@ static
anirudh2290 commented on a change in pull request #14641: [MKLDNN]Improve
quantizeV2 and dequantize latency
URL: https://github.com/apache/incubator-mxnet/pull/14641#discussion_r276027744
##
File path: src/operator/quantization/mkldnn/mkldnn_quantize_v2-inl.h
##
@@ -34,99
Roshrini commented on issue #14249: Update inference sample make file.
URL: https://github.com/apache/incubator-mxnet/pull/14249#issuecomment-483879433
@frankfliu Can you please take a look at the build failure so that we can
move forward with this PR?
Roshrini commented on issue #14252: Allow releasing all gpu memory
URL: https://github.com/apache/incubator-mxnet/pull/14252#issuecomment-483879249
@vladoovtcharov Can you please resolve conflicts so that we can move forward
with this PR?
Roshrini commented on issue #14501: added extraction/generation of
diagonal/triangonal matrices to linalg
URL: https://github.com/apache/incubator-mxnet/pull/14501#issuecomment-483878705
@asmushetzel Thanks for working on this. @eric-haibin-lin @reminisce
@apeforest @anirudh2290 Can you
Roshrini commented on issue #14503: API to create RecordIO files
URL: https://github.com/apache/incubator-mxnet/pull/14503#issuecomment-483877957
@anirudhacharya Thanks for working on this. Can you please add some more
unit tests, integration test as an example and tutorial for this new
Roshrini commented on issue #14535: [DOC] Updated install instructions for mac
URL: https://github.com/apache/incubator-mxnet/pull/14535#issuecomment-483876367
@aaronmarkham Can you please help review this?
This is an
Roshrini commented on issue #14613: [MXNET-978] Higher order gradient support
for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#issuecomment-483875199
@apeforest Thanks for working on this. Can you look into build failures?
simonmaurer edited a comment on issue #14159: [Feature Request] Support fp16
for c++ api
URL:
https://github.com/apache/incubator-mxnet/issues/14159#issuecomment-483873643
@IvyGongoogle @anirudh2290 just to make sure are we talking about the real
C++ API as documented in
Roshrini commented on issue #14599: Use USE_SIGNAL_HANDLER by default set to ON
in CMakeLists.txt
URL: https://github.com/apache/incubator-mxnet/pull/14599#issuecomment-483874977
@marcoabreu @anirudh2290 Can you please help review?
Roshrini commented on issue #14611: [WIP] Brings CI GPU images to CUDA v10.0
with latest cuDNN
URL: https://github.com/apache/incubator-mxnet/pull/14611#issuecomment-483874743
@perdasilva Can you take a look at failing tests?
simonmaurer commented on issue #14159: [Feature Request] Support fp16 for c++
api
URL:
https://github.com/apache/incubator-mxnet/issues/14159#issuecomment-483873643
@IvyGongoogle @anirudh2290 just to make sure are we talking about the C++
API as documented in
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new ff04de0 Add vim-nox to
lanking520 merged pull request #14632: Add vim-nox to
ci/docker/install/ubuntu_core.sh
URL: https://github.com/apache/incubator-mxnet/pull/14632
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zachgk commented on a change in pull request #14637: Add publish test of PyPi
cu100mkl
URL: https://github.com/apache/incubator-mxnet/pull/14637#discussion_r276008235
##
File path: ci/docker/Dockerfile.publish.ubuntu1404_gpu
##
@@ -18,7 +18,7 @@
#
# Dockerfile to run
KellenSunderland commented on a change in pull request #14591: Reference engine
from chunk via weak pointer
URL: https://github.com/apache/incubator-mxnet/pull/14591#discussion_r275999750
##
File path: tests/cpp/engine/threaded_engine_test.cc
##
@@ -122,6 +122,15 @@
anirudh2290 commented on a change in pull request #14591: Reference engine from
chunk via weak pointer
URL: https://github.com/apache/incubator-mxnet/pull/14591#discussion_r275998709
##
File path: tests/cpp/engine/threaded_engine_test.cc
##
@@ -122,6 +122,15 @@ double
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Roshrini commented on issue #14588: [DO NOT MERGE] Update the numpy version
URL: https://github.com/apache/incubator-mxnet/pull/14588#issuecomment-483840428
@stu1130 Can you take a look at CI failure.
This is an automated
Roshrini edited a comment on issue #14632: Add vim-nox to
ci/docker/install/ubuntu_core.sh
URL: https://github.com/apache/incubator-mxnet/pull/14632#issuecomment-483838689
LGTM
@zachgk @lanking520 Can you take a look?
Roshrini commented on issue #14632: Add vim-nox to
ci/docker/install/ubuntu_core.sh
URL: https://github.com/apache/incubator-mxnet/pull/14632#issuecomment-483838689
@zachgk @lanking520 Can you take a look?
This is an
Roshrini commented on issue #14628: [MXNET-1340, 1339][Fit API]Multi
input/output
URL: https://github.com/apache/incubator-mxnet/pull/14628#issuecomment-483838135
@roywei Can you take a look at build failures. There are few indentation
errors as well.
Roshrini commented on issue #14631: Fix build_ccache_wrappers:
URL: https://github.com/apache/incubator-mxnet/pull/14631#issuecomment-483833813
@marcoabreu @KellenSunderland Can you help review this PR?
This is an automated
Roshrini commented on issue #14637: Add publish test of PyPi cu100mkl
URL: https://github.com/apache/incubator-mxnet/pull/14637#issuecomment-483826558
@lanking520 Can you take another look at this PR?
@marcoabreu @zachgk Can you help review?
Roshrini commented on issue #14644: Speedup concat op
URL: https://github.com/apache/incubator-mxnet/pull/14644#issuecomment-483824476
@haojin2 Thanks for this contribution. It will be great to see some
performance numbers
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new 8e04b88 Update
Roshrini merged pull request #14674: fix a bug in inception_inference.cpp
URL: https://github.com/apache/incubator-mxnet/pull/14674
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Roshrini commented on issue #14699: Safe LayerNorm
URL: https://github.com/apache/incubator-mxnet/pull/14699#issuecomment-483821452
@anirudh2290 @apeforest Can you help review this PR?
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Roshrini commented on issue #14654: Reenable TensorRT step
URL: https://github.com/apache/incubator-mxnet/pull/14654#issuecomment-483819335
@Chancebair Can you retrigger the build?
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sandeep-krishnamurthy commented on issue #14665: [performance] Avoid uneccesary
vector copies in imperative_utils.cc
URL: https://github.com/apache/incubator-mxnet/pull/14665#issuecomment-483811805
@larroy - I had quick question on this PR - Can we measure the impact here?
sandeep-krishnamurthy commented on a change in pull request #14665:
[performance] Avoid uneccesary vector copies in imperative_utils.cc
URL: https://github.com/apache/incubator-mxnet/pull/14665#discussion_r275956898
##
File path: src/imperative/imperative_utils.cc
##
@@
piyushghai commented on issue #14688: Showing proper error while creating a csr
ndarray which is not 2D in shape.
URL: https://github.com/apache/incubator-mxnet/pull/14688#issuecomment-483809864
> Does this fix the elemwise_mul issue?
In that single issue there are two issues
piyushghai commented on a change in pull request #14688: Showing proper error
while creating a csr ndarray which is not 2D in shape.
URL: https://github.com/apache/incubator-mxnet/pull/14688#discussion_r275954745
##
File path: tests/python/unittest/test_sparse_ndarray.py
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new 51d3291 Updated docs for R-package
hetong007 merged pull request #14269: Updated docs for R-package installation
URL: https://github.com/apache/incubator-mxnet/pull/14269
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aaronmarkham commented on a change in pull request #14687: License Googletest
and Appendix
URL: https://github.com/apache/incubator-mxnet/pull/14687#discussion_r275952641
##
File path: LICENSE
##
@@ -706,3 +706,247 @@
FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN
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aaronmarkham commented on a change in pull request #14687: License Googletest
and Appendix
URL: https://github.com/apache/incubator-mxnet/pull/14687#discussion_r275952641
##
File path: LICENSE
##
@@ -706,3 +706,247 @@
FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN
anirudh2290 commented on issue #14159: [Feature Request] Support fp16 for c++
api
URL:
https://github.com/apache/incubator-mxnet/issues/14159#issuecomment-483798923
@IvyGongoogle Are your inputs and weights in fp16. Your change should work
to run fp16 inference. What batch size are you
zachgk commented on a change in pull request #14687: License Googletest and
Appendix
URL: https://github.com/apache/incubator-mxnet/pull/14687#discussion_r275910511
##
File path: LICENSE
##
@@ -706,3 +706,247 @@
FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN
szha merged pull request #14661: [numpy] Support zero-dim and zero-size tensors
in MXNet
URL: https://github.com/apache/incubator-mxnet/pull/14661
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yuxihu commented on issue #14703: Set idx2name for Optimizer object
URL: https://github.com/apache/incubator-mxnet/pull/14703#issuecomment-483738050
> Any unit test?
Not sure if there is any. If not, I can add one. Let me check.
PistonY commented on issue #14712: Conv3DTranspose not work in Ubuntu.
URL:
https://github.com/apache/incubator-mxnet/issues/14712#issuecomment-483731874
windows could run the same code but Ubuntu can’t.
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arcadiaphy commented on issue #14360: supporting matrix inversion and
determinant
URL:
https://github.com/apache/incubator-mxnet/issues/14360#issuecomment-483726602
+1
I'm implementing thin plate spline interpolation, calling for an easy to use
matrix_inverse.
Using potrf and
frankfliu commented on issue #14712: Conv3DTranspose not work in Ubuntu.
URL:
https://github.com/apache/incubator-mxnet/issues/14712#issuecomment-483721091
@mxnet-label-bot add [gluon, bug, cuda]
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frankfliu commented on issue #14710: BatchNorm gets inconsistent result between
Module API and NDArray API
URL:
https://github.com/apache/incubator-mxnet/issues/14710#issuecomment-483720336
@mxnet-label-bot add [ndarray, bug]
mika-fischer 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-483686153
Maybe mxnet should target a specific opset then. Or at the
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cmeier 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 52a3553 [docstring] improve docstring
gigasquid merged pull request #14705: [Clojure] [docstring] improve docstring
and indentation in `module.clj`
URL: https://github.com/apache/incubator-mxnet/pull/14705
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zhasheng 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 8108b1b Bump the publish
pengzhao-intel commented on issue #14496: performance degradation from 1.3.1 to
1.4.0
URL:
https://github.com/apache/incubator-mxnet/issues/14496#issuecomment-483642999
@samskalicky could you try the latest master and see if the performance is
improved?
pengzhao-intel commented on issue #14711: Disable USE_GPERFTOOLS by default
URL: https://github.com/apache/incubator-mxnet/pull/14711#issuecomment-483630036
cc @lebeg
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pengzhao-intel commented on issue #14711: Disable USE_GPERFTOOLS by default
URL: https://github.com/apache/incubator-mxnet/pull/14711#issuecomment-483629516
@szha @eric-haibin-lin is there any reason that the gperf is ON by default?
Our customer encountered the crash w/ gperf ON, so we
wentlei commented on issue #8358: 'module' object has no attribute 'nd'
URL:
https://github.com/apache/incubator-mxnet/issues/8358#issuecomment-483604412
@3bhady Thanks for your reply. Yes , I have renamed my python file, and I
haven't encountered this problem yet. It may caused by a
PistonY commented on issue #14712: Conv3DTranspose not work in Ubuntu.
URL:
https://github.com/apache/incubator-mxnet/issues/14712#issuecomment-483603713
Also, I tried to reduce/model size is not work too.
This is an
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