danache closed issue #7785: How can I build a conv block using other conv's
weights.
URL: https://github.com/apache/incubator-mxnet/issues/7785
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reasons.Is it convenient to put the mean
substraction operation as a existing layer?
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,
label_length=label_len, input_length=SEQ_LENGTH)
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m the Trenches*, available at
+http://dl.acm.org/citation.cfm?id=2488200.
+
+.. math::
+ \\eta_{t,i} = \\frac{learningrate}{\\beta+\\sqrt{\\sum_{s=1}^tg_{s,i}^t}}
Review comment:
pls check again
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qingzhouzhen closed issue #7122: Feature request : mobilenet
URL: https://github.com/apache/incubator-mxnet/issues/7122
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ally figured out that MXNet.jl need a modified `cblas.h`:
https://github.com/dmlc/MXNet.jl/blob/master/deps/cblas.h
I will manage to send a patch for that. @mseeger thanks for your time and
explanation!
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lly figured out that MXNet.jl needs a modified `cblas.h`:
https://github.com/dmlc/MXNet.jl/blob/master/deps/cblas.h
I will manage to send a patch for that. @mseeger thanks for your time and
explanation!
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nally figure out that MXNet.jl need a modified `cblas.h`:
https://github.com/dmlc/MXNet.jl/blob/master/deps/cblas.h
I will manage to send a patch for that. @mseeger thanks for your time and
explanation!
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e.org/api/python/symbol.html#mxnet.symbol.broadcast_sub)
for the mean subtraction. There may be better solutions out there, and this is
one solution that I can think of.
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ff. I prefer not to cut RCNN into pieces. Thanks.
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dyzhou2015 closed issue #7802: how can i do a image mean substraction operation
in symbol?
URL: https://github.com/apache/incubator-mxnet/issues/7802
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ase keep it in one line and add ` # pylint: disable=line-too-long`
before this class and ` # pylint: disable=line-too-long` after the class
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();
+DType* z_data = z.dptr();
+DType* n_data = n.dptr();
+DType* out_data = out->dptr();
+nnvm::dim_t num_rows = grad.aux_shape(kIdx)[0];
Review comment:
nit: const
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using namespace rowsparse;
+ CHECK_RSP_ALL_ROWS_NON_ZERO(weight, "FtrlUpdate", "weights");
+ Stream* s = ctx.get_stream();
+ // fill mean and variance with zero values in order to reuse the sgd mom dns
impl
Review comment:
pls update the comment accordingly for ftrl
-
, probably just move it to line 791
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DamonDeng closed issue #4255: mx.nd.save function can't be used to save into S3
bucket with periods in bucket name
URL: https://github.com/apache/incubator-mxnet/issues/4255
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on to continue with the experiment.
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https://mxnet.incubator.apache.org/model_zoo/index.html](https://mxnet.incubator.apache.org/model_zoo/index.html)
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https://mxnet.incubator.apache.org/model_zoo/index.html](https://mxnet.incubator.apache.org/model_zoo/index.html)
@piiswrong
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allows user load image directly from folder? Something like in keras which can
send folder and load class and images automatically. (If such method already
exist please aware me.)
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piiswrong closed pull request #7793: Call vcvars for x64 before build on GPU
URL: https://github.com/apache/incubator-mxnet/pull/7793
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piiswrong closed pull request #7797: Update doc README
URL: https://github.com/apache/incubator-mxnet/pull/7797
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piiswrong closed pull request #7782: Scala fix
URL: https://github.com/apache/incubator-mxnet/pull/7782
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ulia-build maintains its ow hand-written cblas-include file.
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ulia-build maintains its ow hand-written cblas-include file.
Chris, can you drive sufficient automatic testing for this build?
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eems that your cblas.h is edited, right? This is not good. Maybe find
out what Julia is doing there?
We may rely on further blas functions in the future, so better try and get
the correct cblas.h being used
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xit ipython to the
linux terminal
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on't see how this PR could cause that error.
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should be optional and be defaulting to 0.
The stop parameter should be required and not be marked as optional.
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you using?
- Could you also give the shape of your inputs to the CTC layer?
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you using?
- Could you also give the shape of your inputs to the CTC layer? (eg
sequence length, etc)
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be able to
help you.
## Environment info
Operating System:
Ubuntu 14.04
Compiler: 4.8.4
Package used (Python/R/Scala/Julia):
MXNet version: 0.11.1
Or if installed from source:
MXNet commit hash (`git rev-parse HEAD
] ? [0, 255]?
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10.40.0.55
10.40.0.54
```
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kevinthesun opened a new pull request #25: Build master for new design
URL: https://github.com/apache/incubator-mxnet-site/pull/25
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yajiedesign opened a new pull request #7809: open dlpack in windows
URL: https://github.com/apache/incubator-mxnet/pull/7809
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adstraw opened a new pull request #7810: Enable MKL support for full pooling
URL: https://github.com/apache/incubator-mxnet/pull/7810
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error
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.html#mxnet.ndarray.Convolution)
are the docs. I'm using mxnet 0.11.0.
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treated as stop
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,
- padding_mask=self._padding_mask)
+ reserve_first_label=False)
Review comment:
reserve_first_label is a bad name.
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szha opened a new pull request #7812: update core
URL: https://github.com/apache/incubator-mxnet/pull/7812
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- padding_mask=self._padding_mask)
+ reserve_first_label=False)
Review comment:
What's your proposal?
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ot;"Should be run with valgrind to get memory consumption
Review comment:
could you add license header?
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---
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num_update)
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???
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hon's range
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"Should be run with valgrind to get memory consumption
Review comment:
Added
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"Should be run with valgrind to get memory consumption
+ for sparse format storage and dot operators"""
Review comment:
Renamed the file to memory_benchmark.py and added info for CPU mem
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had moved this into
private, but CaffeDataIter needs it, so I moved it back
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mple/image-classification/README.md)
i see good scalability.
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nswamy closed pull request #7600: benchmark.py modified
URL: https://github.com/apache/incubator-mxnet/pull/7600
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om source:
MXNet commit hash (`git rev-parse HEAD`):
If you are using python package, please provide
Python version and distribution:
Python 2.7.12
If you are using R package, please provide
R `sessionInfo()`:
## Error Message:
```
Traceback (most rec
resolved
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B/s: 8.35156` due to reduced buffer
copying overhead.
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sorting.
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m the subs, as they became unused
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s from the subs, as they became unused
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ing whether to call
`_half_to_float()` or `_float_to_half()` in those subroutines.
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s. These blocks for half floats need to be
eventually moved to AI::MXNetCAPI, they have no business to be here.
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kevinthesun closed pull request #25: Build master for new design
URL: https://github.com/apache/incubator-mxnet-site/pull/25
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(self, labels, preds):
self.num_inst += 1
+def truePositives(label):
Review comment:
please rename to `true_positives`
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kevinthesun opened a new pull request #7817: Add fail flag for tutorial test
URL: https://github.com/apache/incubator-mxnet/pull/7817
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his pull request.
>
> Why did you update all the submodules(nnvm, mshadow, dmlc-core)? Can you
> revert these changes??
> e.g.
>
> cd nnvm
> git checkout [the-original-nnvm-commit]
> cd ..
> git add nnvm
>
>
same versions compared to mxnet master. Do you know why they appeared in the
diff?
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kevinthesun opened a new pull request #26: AddDevNote
URL: https://github.com/apache/incubator-mxnet-site/pull/26
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piiswrong closed pull request #26: AddDevNote
URL: https://github.com/apache/incubator-mxnet-site/pull/26
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piiswrong closed pull request #7817: Add fail flag for tutorial test
URL: https://github.com/apache/incubator-mxnet/pull/7817
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means you also accept None
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piiswrong closed pull request #7801: [Perl] bugfixes for distributed training
using tools/launch.py
URL: https://github.com/apache/incubator-mxnet/pull/7801
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yajiedesign closed pull request #7754: fix windows_setup.md and add install.md
URL: https://github.com/apache/incubator-mxnet/pull/7754
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yajiedesign opened a new pull request #7754: fix windows_setup.md and add
install.md
URL: https://github.com/apache/incubator-mxnet/pull/7754
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.h:853:1: note: in expansion of macro
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LINALG_CPU_GELQF_WORKSPACE_QUERY(d, double)
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r/tensor/./../linalg_impl.h:853:1: note: in expansion of macro
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```
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