chinakook closed issue #7517: Add Depthwise Deconvolution support?
URL: https://github.com/apache/incubator-mxnet/issues/7517
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eric-haibin-lin opened a new pull request #7638: CSRNDArray from/to scipy
csr_matrix; fix rand_shape_nd
URL: https://github.com/apache/incubator-mxnet/pull/7638
Added preliminary/inefficient support so that user can
- construct CSRNDArray from scipy csr_matrix.
- convert CSRNDArray
im9uri commented on issue #6245: Compile lastest MXNet failed with cude 8.0
URL:
https://github.com/apache/incubator-mxnet/issues/6245#issuecomment-325259554
@xinario I replaced every instance of CUDA_R_32I in MXNet with a type that
was defined in the library_type.h header file. It was
qingzhouzhen closed issue #7594: pvanet Incompatible input shape, why?
URL: https://github.com/apache/incubator-mxnet/issues/7594
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jeremiedb commented on issue #7476: R-package RNN refactor
URL: https://github.com/apache/incubator-mxnet/pull/7476#issuecomment-325228128
Improve the harmonization with model.FeedForward: same fixed.params,
arg.params and aux.params input arguments.
Remove redundancies between
atiyo opened a new issue #7637: Strange Validation and Training Losses at epoch
change
URL: https://github.com/apache/incubator-mxnet/issues/7637
I struggled to get some mxnet models training to a good accuracy, so I took
a closer look at training and validation losses of a toy model. I
zhanghang1989 commented on issue #7579: style transfer example
URL: https://github.com/apache/incubator-mxnet/pull/7579#issuecomment-325035839
I have sent a PR to web-data with the images
https://github.com/dmlc/web-data/pull/26
I will update the image paths after it is merged. @szha
chinakook commented on issue #7613: 1x1 convolution acceleration
URL: https://github.com/apache/incubator-mxnet/pull/7613#issuecomment-325193542
@reminisce I will complete the testings. I think performance improvement and
memory reduction will show up in the image detection and
chinakook commented on issue #7610: error C2768 "linalg_gemm":Illegal use of
explicit template arguments
URL:
https://github.com/apache/incubator-mxnet/issues/7610#issuecomment-325193766
@piiswrong
Thanks, It's partly solved. New issues:
chinakook commented on issue #7610: error C2768 "linalg_gemm":Illegal use of
explicit template arguments
URL:
https://github.com/apache/incubator-mxnet/issues/7610#issuecomment-325193766
It's partly solved. New issues:
d:\proj\dev\mx\src\operator\linalg_impl.h(442): error C2872: 'cpu':
chinakook commented on issue #7613: 1x1 convolution acceleration
URL: https://github.com/apache/incubator-mxnet/pull/7613#issuecomment-325193542
@reminisce I will complete the testings. I think performance improvement and
memory reduction will show up in the image detection and
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liuyizhi 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 e051297 [build] explicitly install
kevinthesun opened a new pull request #7636: Add script to build doc files for
all versions
URL: https://github.com/apache/incubator-mxnet/pull/7636
Script to build all versions selected. Can be used for website recovering if
apache jenkins automate building system generates unexpected
piiswrong commented on a change in pull request #7635: add fashion mnist and
move mnists to s3
URL: https://github.com/apache/incubator-mxnet/pull/7635#discussion_r135404465
##
File path: python/mxnet/gluon/data/vision.py
##
@@ -102,6 +102,56 @@ def _get_data(self):
piiswrong closed pull request #7633: fix tests
URL: https://github.com/apache/incubator-mxnet/pull/7633
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jxie 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 9aa051c fix tests (#7633)
9aa051c is
qingzhouzhen commented on issue #7632: pvanet infer_shape error. Arguments
URL:
https://github.com/apache/incubator-mxnet/issues/7632#issuecomment-325180013
I change the config.SCALES to 1056x640, It still went wrong with the same
problem, But I can print whole layers with
qingzhouzhen commented on issue #7632: pvanet infer_shape error. Arguments
URL:
https://github.com/apache/incubator-mxnet/issues/7632#issuecomment-325180013
I change the config.SCALES to 1056x640, It still went wrong with the same
problem, But I can print whole layers with
szha opened a new pull request #7635: add fashion mnist and move mnists to s3
URL: https://github.com/apache/incubator-mxnet/pull/7635
@mli
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