szha commented on issue #14053: in-place reshape ops
URL: https://github.com/apache/incubator-mxnet/pull/14053#issuecomment-469970660
@wkcn good point on symbol and HybridBlock. I'm not sure if a warning should
be added as it can get very verbose.
junrushao1994 opened a new issue #14342: Ensure all usage of `ndim` to be 0-d
tensor compatible
URL: https://github.com/apache/incubator-mxnet/issues/14342
After #14315, we should check all the occurrence of `ndim` to ensure they
are used correctly in the semantics of 0-d tensor.
mxnet-label-bot commented on issue #14342: Ensure all usage of `ndim` to be 0-d
tensor compatible
URL:
https://github.com/apache/incubator-mxnet/issues/14342#issuecomment-469984212
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some
szha commented on issue #13992: Julia: add binding for runtime feature detection
URL: https://github.com/apache/incubator-mxnet/pull/13992#issuecomment-469984071
could you try another rebase? CI had a hiccup a couple of days ago.
yuxihu commented on a change in pull request #14339: Add MKLDNN headers to pip
package
URL: https://github.com/apache/incubator-mxnet/pull/14339#discussion_r262797531
##
File path: tools/pip/setup.py
##
@@ -97,6 +97,8 @@ def has_ext_modules(self):
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new a0f3f92 Add default parameters for
szha merged pull request #13816: Add default parameters for Scala
NDArray.arange
URL: https://github.com/apache/incubator-mxnet/pull/13816
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szha commented on issue #14053: in-place reshape ops
URL: https://github.com/apache/incubator-mxnet/pull/14053#issuecomment-469971058
Nonetheless it should not throw an error when using inplace with hybridize.
Let me see how to best deal with it.
reminisce commented on issue #14342: Ensure all usage of `ndim` to be 0-d
tensor compatible
URL:
https://github.com/apache/incubator-mxnet/issues/14342#issuecomment-469992031
Also include all the infer shape functions of operators.
https://github.com/apache/incubator-mxnet/issues/14323
junrushao1994 commented on a change in pull request #14315: [numpy] Shape
support scalar tensor
URL: https://github.com/apache/incubator-mxnet/pull/14315#discussion_r262819311
##
File path: include/mxnet/tuple.h
##
@@ -404,9 +453,11 @@ class TShape : public Tuple {
}
anirudh2290 commented on a change in pull request #14275: Register fake grad to
subgraph and quantized operators
URL: https://github.com/apache/incubator-mxnet/pull/14275#discussion_r262802791
##
File path: src/executor/graph_executor.cc
##
@@ -1506,8 +1506,26 @@ static
szha merged pull request #14258: fix render issue in NDArray linalg docs
URL: https://github.com/apache/incubator-mxnet/pull/14258
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junrushao1994 edited a comment on issue #14342: Ensure all usage of `ndim` to
be 0-d tensor compatible
URL:
https://github.com/apache/incubator-mxnet/issues/14342#issuecomment-469992767
@reminisce Yep. I intentionally ignored `src/operator` in this list because
there are too many
szha commented on a change in pull request #13907: Fixes downloading of data in
cpp-package/example/get_data.sh
URL: https://github.com/apache/incubator-mxnet/pull/13907#discussion_r262815070
##
File path: cpp-package/example/get_data.sh
##
@@ -14,28 +15,29 @@
# KIND,
junrushao1994 commented on a change in pull request #14315: [numpy] Shape
support scalar tensor
URL: https://github.com/apache/incubator-mxnet/pull/14315#discussion_r262826071
##
File path: include/mxnet/tuple.h
##
@@ -316,48 +335,74 @@ class Tuple {
protected:
//
reminisce commented on a change in pull request #14315: [numpy] Shape support
scalar tensor
URL: https://github.com/apache/incubator-mxnet/pull/14315#discussion_r262825842
##
File path: include/mxnet/tuple.h
##
@@ -316,48 +335,74 @@ class Tuple {
protected:
//
arcadiaphy commented on issue #14329: [Flaky] flaky test in
test_operator_gpu.test_convolution_multiple_streams
URL:
https://github.com/apache/incubator-mxnet/issues/14329#issuecomment-469981558
@DickJC123 OK. Let me find out the problem behind the threaded engine crash.
arcadiaphy commented on issue #14058: add backgroud class in box_nms
URL: https://github.com/apache/incubator-mxnet/pull/14058#issuecomment-469982602
@wkcn CI seems OK now, ready for merge.
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szha merged pull request #14303: [MXNET-1331] Removal of non-MXNET classes from
JAR
URL: https://github.com/apache/incubator-mxnet/pull/14303
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junrushao1994 commented on a change in pull request #14315: [numpy] Shape
support scalar tensor
URL: https://github.com/apache/incubator-mxnet/pull/14315#discussion_r262819232
##
File path: include/mxnet/tuple.h
##
@@ -316,48 +335,74 @@ class Tuple {
protected:
//
iblis17 commented on issue #13992: Julia: add binding for runtime feature
detection
URL: https://github.com/apache/incubator-mxnet/pull/13992#issuecomment-469985176
sure
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iblis pushed a change to branch ib/jl-runtime-features
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discard 6d9e429 update
discard 271fed6 mx.isenabled
discard 03698eb 2 space
discard ec80b31
iblis17 commented on issue #13992: Julia: add binding for runtime feature
detection
URL: https://github.com/apache/incubator-mxnet/pull/13992#issuecomment-469982742
well, the ci status blocks the merge button.
This is an
szha merged pull request #14222: Add more support for mxnet_to_coreml
URL: https://github.com/apache/incubator-mxnet/pull/14222
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new fccce20 Add more support for
junrushao1994 commented on issue #14342: Ensure all usage of `ndim` to be 0-d
tensor compatible
URL:
https://github.com/apache/incubator-mxnet/issues/14342#issuecomment-469992767
@reminisce Yep. I intentionally ignored `src/operator` in this list because
there are too many occurrences in
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new b486594 Register fake grad to
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reminisce merged pull request #14275: Register fake grad to subgraph and
quantized operators
URL: https://github.com/apache/incubator-mxnet/pull/14275
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Chouffe commented on issue #14295: [clojure-package] fix docstrings in
`normal.clj`
URL: https://github.com/apache/incubator-mxnet/pull/14295#issuecomment-469582009
I just rebased on upstream master and pushed again :)
This
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new 5065f13 fix SoftmaxOutput resource bug
wkcn merged pull request #14302: fix SoftmaxOutput resource bug
URL: https://github.com/apache/incubator-mxnet/pull/14302
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wkcn closed issue #14301: SoftmaxOutput crashes with normalization "valid"
URL: https://github.com/apache/incubator-mxnet/issues/14301
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mxnet-label-bot commented on issue #14334: R/mxnet/cuda 10.1 error with op.h
Check failed
URL:
https://github.com/apache/incubator-mxnet/issues/14334#issuecomment-469583780
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
asheetal opened a new issue #14334: R/mxnet/cuda 10.1 error with op.h Check
failed
URL: https://github.com/apache/incubator-mxnet/issues/14334
Centos 7
R version 3.5.2
Cuda 10.1
mxnet checkout v0.5
gcc 7.3.1
config.mk is as follows
>USE_OPENCV = 1
>BLAS = open
asheetal closed issue #14334: R/mxnet/cuda 10.1 error with op.h Check failed
URL: https://github.com/apache/incubator-mxnet/issues/14334
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asheetal commented on issue #14334: R/mxnet/cuda 10.1 error with op.h Check
failed
URL:
https://github.com/apache/incubator-mxnet/issues/14334#issuecomment-469588223
Ah I found the problem. I was doing both keras mxnet backend as well as
library(mxnet). I removed library(mxnet) this
estarpro commented on issue #14306: mxnet-cuda100 malloc problem of
mod.forward()
URL:
https://github.com/apache/incubator-mxnet/issues/14306#issuecomment-469648978
@wkcn Everything is fine. Thank you for your help.Now I can close this issue.
estarpro closed issue #14306: mxnet-cuda100 malloc problem of mod.forward()
URL: https://github.com/apache/incubator-mxnet/issues/14306
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mxnet-label-bot commented on issue #14335: Question on installation and use of
MKLDNN
URL:
https://github.com/apache/incubator-mxnet/issues/14335#issuecomment-469619115
Hey, this is the MXNet Label Bot.
Thank you for submitting the issue! I will try and suggest some labels so
that
dbsxdbsx opened a new issue #14335: Question on installation and use of MKLDNN
URL: https://github.com/apache/incubator-mxnet/issues/14335
I am trying to build mxnet from source to use with python and C++ on
win10_64, and with MKL+MKLDNN as backbone.
Question on installation:
xinyu-intel commented on a change in pull request #14094: Enhance gpu
quantization
URL: https://github.com/apache/incubator-mxnet/pull/14094#discussion_r262392525
##
File path: src/operator/quantization/quantized_conv.cu
##
@@ -110,6 +110,9 @@ class QuantizedCuDNNConvOp {
ZhennanQin commented on a change in pull request #14275: Register fake grad to
subgraph and quantized operators
URL: https://github.com/apache/incubator-mxnet/pull/14275#discussion_r262396360
##
File path: src/executor/graph_executor.cc
##
@@ -1506,8 +1506,26 @@ static
edisongustavo commented on issue #14028: Cmake blas
URL: https://github.com/apache/incubator-mxnet/pull/14028#issuecomment-469672395
@anirudhacharya I will get back to this asap, probably tomorrow.
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perdasilva commented on issue #14319: CI Changes for Codified Windows AMIs
URL: https://github.com/apache/incubator-mxnet/pull/14319#issuecomment-469712498
Due to your absence, I had to clone your PR (#14336) in my fork to try and
fix the issues. Please close this one, when you get a
pengzhao-intel commented on issue #14150: Fix entropy for uint8
URL: https://github.com/apache/incubator-mxnet/pull/14150#issuecomment-469678125
@ZhennanQin Did we resolve all comments in here and is this the valid PR to
be merged?
dbsxdbsx commented on issue #14116: Failure in generated op.h in version 1.3.1
URL:
https://github.com/apache/incubator-mxnet/issues/14116#issuecomment-469658665
@Bumblebee1964 , and is especially annoying when it pops up after 1 hours
compiling!
perdasilva opened a new pull request #14336: [WIP] CI Changes for Codified
Windows AMIs
URL: https://github.com/apache/incubator-mxnet/pull/14336
## Description ##
Fixes to re-enable Windows tests
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable
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vandanavk commented on issue #14336: CI Changes for Codified Windows AMIs
URL: https://github.com/apache/incubator-mxnet/pull/14336#issuecomment-469800064
@mxnet-label-bot add [CI, Windows, pr-awaiting-review]
This is an
piyushghai commented on issue #14289: [Flaky]
test_operator_gpu.test_convolution_multiple_streams
URL:
https://github.com/apache/incubator-mxnet/issues/14289#issuecomment-469803941
Seen here as well :
piyushghai commented on issue #14298: Updated news.md with the latest mkldnn
submodule version
URL: https://github.com/apache/incubator-mxnet/pull/14298#issuecomment-469811344
> @piyushghai retrigger the CI?
Done. @pengzhao-intel
piyushghai commented on issue #14298: Updated news.md with the latest mkldnn
submodule version
URL: https://github.com/apache/incubator-mxnet/pull/14298#issuecomment-469811605
> @piyushghai Thank you for the change. Not sure if we also need have it on
v1.4.x.
@TaoLv No we don't
piyushghai commented on issue #14331: A temp solution to enable GluonCV INT8
flow
URL:
https://github.com/apache/incubator-mxnet/issues/14331#issuecomment-469781037
@mxnet-label-bot Add [Quantization]
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lanking520 commented on issue #14332: MXNet static library build results in
error in centos, oracle linux and similar distros
URL:
https://github.com/apache/incubator-mxnet/issues/14332#issuecomment-469784731
@aashudwivedi Nice try and thanks for working on this. I also find similar
vandanavk commented on issue #14325: Relaxing type requirements for
reshape_like op
URL: https://github.com/apache/incubator-mxnet/pull/14325#issuecomment-469791154
@mxnet-label-bot update [Operator, pr-awaiting-merge]
@zhreshold PR ready for merge
reminisce commented on issue #14327: [numpy] Implement NumPy operators
URL:
https://github.com/apache/incubator-mxnet/issues/14327#issuecomment-469800428
@wkcn
> Could you please provide an example to explain how to accept `NDArray` and
`Symbol` inputs?
This can be achieved
hetong007 commented on issue #14269: Updated docs for R-package installation
URL: https://github.com/apache/incubator-mxnet/pull/14269#issuecomment-469810335
If 1.4 doesn't come with cu80 binary, don't we want to remove cu80 in the
doc?
piyushghai commented on issue #14332: MXNet static library build results in
error in centos, oracle linux and similar distros
URL:
https://github.com/apache/incubator-mxnet/issues/14332#issuecomment-469782013
@mxnet-label-bot Add [Build]
@lanking520 , @zachgk Can you guys have a
piyushghai commented on issue #14335: [MKLDNN] Question on installation and use
of MKLDNN
URL:
https://github.com/apache/incubator-mxnet/issues/14335#issuecomment-469782921
@dbsxdbsx Thanks for raising this question. For questions, please submit
them on MXNet discussion forum
lanking520 edited a comment on issue #14332: MXNet static library build results
in error in centos, oracle linux and similar distros
URL:
https://github.com/apache/incubator-mxnet/issues/14332#issuecomment-469784731
@aashudwivedi Nice try and thanks for working on this. I also find
piyushghai commented on issue #14333: Predict of mx.mod.Module api problem
URL:
https://github.com/apache/incubator-mxnet/issues/14333#issuecomment-469785154
@Ian Can you shed some light on the model you are using ?
Specifically, what's the last layer of your model ? Is it Sigmoid
access2rohit commented on issue #14263: MXNet Master build for CUDA with
DEBUG=1 failing
URL:
https://github.com/apache/incubator-mxnet/issues/14263#issuecomment-469787014
@mxnet-label-bot add [build]
This is an automated
Author: lanking
Date: Tue Mar 5 18:26:40 2019
New Revision: 32768
Log:
remove all 1.4.0rc*
Removed:
dev/incubator/mxnet/1.4.0.rc0/
dev/incubator/mxnet/1.4.0.rc1/
dev/incubator/mxnet/1.4.0.rc2/
dev/incubator/mxnet/1.4.0.rc3/
piyushghai commented on issue #14289: [Flaky]
test_operator_gpu.test_convolution_multiple_streams
URL:
https://github.com/apache/incubator-mxnet/issues/14289#issuecomment-469810860
There's another duplicate issue :
https://github.com/apache/incubator-mxnet/issues/14329.
Suggest
junrushao1994 closed issue #14289: [Flaky]
test_operator_gpu.test_convolution_multiple_streams
URL: https://github.com/apache/incubator-mxnet/issues/14289
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junrushao1994 edited a comment on issue #14329: [Flaky] flaky test in
test_operator_gpu.test_convolution_multiple_streams
URL:
https://github.com/apache/incubator-mxnet/issues/14329#issuecomment-469812710
junrushao1994 commented on issue #14329: [Flaky] flaky test in
test_operator_gpu.test_convolution_multiple_streams
URL:
https://github.com/apache/incubator-mxnet/issues/14329#issuecomment-469812710
roywei commented on issue #14312: [MXNET-1332]predict on gpu
URL: https://github.com/apache/incubator-mxnet/pull/14312#issuecomment-469812636
@szha Hi, so when users load a model on GPU context, and load an image &
apply pre-processing, it's very easy to forget to copy data to GPU. Then
junrushao1994 commented on issue #14289: [Flaky]
test_operator_gpu.test_convolution_multiple_streams
URL:
https://github.com/apache/incubator-mxnet/issues/14289#issuecomment-469812901
I am closing this issue and submitting this to #14329
szha commented on issue #14329: [Flaky] flaky test in
test_operator_gpu.test_convolution_multiple_streams
URL:
https://github.com/apache/incubator-mxnet/issues/14329#issuecomment-469820116
Thanks, @DickJC123. Does it reveal an actual problem or is it specific to
the CI environment? I'd
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at 0f88f61 [clojure-package] fix docstrings in `normal.clj` (#14295)
No new revisions were added by this
vandanavk commented on issue #14094: Enhance gpu quantization
URL: https://github.com/apache/incubator-mxnet/pull/14094#issuecomment-469790572
@mxnet-label-bot update [Quantization, pr-awaiting-merge]
This is an automated
piyushghai commented on issue #14269: Updated docs for R-package installation
URL: https://github.com/apache/incubator-mxnet/pull/14269#issuecomment-469812577
> If 1.4 doesn't come with cu80 binary, don't we want to remove cu80 in the
doc?
Removed it.
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szha merged pull request #14324: Fixed some typos in AvgPooling Docs
URL: https://github.com/apache/incubator-mxnet/pull/14324
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gigasquid commented on issue #14295: [clojure-package] fix docstrings in
`normal.clj`
URL: https://github.com/apache/incubator-mxnet/pull/14295#issuecomment-469759683
Yay! thanks
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gigasquid merged pull request #14295: [clojure-package] fix docstrings in
`normal.clj`
URL: https://github.com/apache/incubator-mxnet/pull/14295
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new 0f88f61 [clojure-package] fix
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szha commented on issue #14313: compatibility with opencv4
URL: https://github.com/apache/incubator-mxnet/pull/14313#issuecomment-469755577
@wkcn it might be that the system has an opencv2 installation while the
build is statically linking opencv3.
Chouffe commented on issue #14308: [clojure-package][wip] add `->nd-vec`
function in `ndarray.clj`
URL: https://github.com/apache/incubator-mxnet/pull/14308#issuecomment-469757134
I would love some feedback on this @kedarbellare @gigasquid :-)
Chouffe commented on issue #14295: [clojure-package] fix docstrings in
`normal.clj`
URL: https://github.com/apache/incubator-mxnet/pull/14295#issuecomment-469756992
It seems to be green @gigasquid :-)
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wkcn commented on issue #14313: compatibility with opencv4
URL: https://github.com/apache/incubator-mxnet/pull/14313#issuecomment-469740623
I do not know what OpenCV shared library we did not link. It raises
undefined reference in unit-cpu CI.
DickJC123 commented on issue #14310: Cudnn conv dgrad algo filtering
URL: https://github.com/apache/incubator-mxnet/pull/14310#issuecomment-469868569
This PR is in a good state to review. I hope you guys like the
test-driven-development ;-)
@szha @eric-haibin-lin @marcoabreu
roywei edited a comment on issue #14312: [MXNET-1332]predict on gpu
URL: https://github.com/apache/incubator-mxnet/pull/14312#issuecomment-469812636
@szha Hi, so when users load a model on GPU context, and load an image &
apply pre-processing, it's very easy to forget to copy data to GPU.
roywei edited a comment on issue #14312: [MXNET-1332]predict on gpu
URL: https://github.com/apache/incubator-mxnet/pull/14312#issuecomment-469812636
@szha Hi, so when users load a model on GPU context, and load an image &
apply pre-processing, it's very easy to forget to copy data to GPU.
roywei edited a comment on issue #14312: [MXNET-1332]predict on gpu
URL: https://github.com/apache/incubator-mxnet/pull/14312#issuecomment-469812636
@szha Hi, so when users load a model on GPU context, and load an image &
apply pre-processing, it's very easy to forget to copy data to GPU.
junrushao1994 commented on a change in pull request #14192: [MXNET-1324] Add
NaiveRunGraph to imperative utils
URL: https://github.com/apache/incubator-mxnet/pull/14192#discussion_r262658273
##
File path: src/imperative/cached_op.cc
##
@@ -839,6 +867,70 @@ OpStatePtr
vandanavk commented on issue #14337: Optimizer MXKVStoreUpdater bug fix in
serializeState method
URL: https://github.com/apache/incubator-mxnet/pull/14337#issuecomment-469867663
@mxnet-label-bot add [Scala, pr-awaiting-review]
@satyakrishnagorti Please add "Fixes
satyakrishnagorti opened a new pull request #14337: Optimizer MXKVStoreUpdater
bug fix in serializeState method
URL: https://github.com/apache/incubator-mxnet/pull/14337
PR addressing issue: https://github.com/apache/incubator-mxnet/issues/14265
## Description
Currently there is
roywei edited a comment on issue #14312: [MXNET-1332]predict on gpu
URL: https://github.com/apache/incubator-mxnet/pull/14312#issuecomment-469812636
@szha Hi, so when users load a model on GPU context, and load an image &
apply pre-processing, it's very easy to forget to copy data to GPU.
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zhasheng pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
new a04d704 Bump the publish
junrushao1994 commented on a change in pull request #14315: [numpy] Shape
support scalar tensor
URL: https://github.com/apache/incubator-mxnet/pull/14315#discussion_r262724040
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File path: include/mxnet/tuple.h
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@@ -106,7 +113,10 @@ class Tuple {
inline void
junrushao1994 commented on a change in pull request #14315: [numpy] Shape
support scalar tensor
URL: https://github.com/apache/incubator-mxnet/pull/14315#discussion_r262724040
##
File path: include/mxnet/tuple.h
##
@@ -106,7 +113,10 @@ class Tuple {
inline void
junrushao1994 commented on a change in pull request #14315: [numpy] Shape
support scalar tensor
URL: https://github.com/apache/incubator-mxnet/pull/14315#discussion_r262724040
##
File path: include/mxnet/tuple.h
##
@@ -106,7 +113,10 @@ class Tuple {
inline void
szha commented on a change in pull request #14315: [numpy] Shape support scalar
tensor
URL: https://github.com/apache/incubator-mxnet/pull/14315#discussion_r262728226
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File path: include/mxnet/tensor_blob.h
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@@ -196,6 +196,10 @@ class TBlob {
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haibin pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 427b6d4 Fix shape inference pass
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haibin pushed a commit to branch master
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new d754da3 Relaxing type requirements
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