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index acdb698fa3..bdd4c67e9e 16
--- a/ps-lite
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+Subproject commit
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--- a/docs/api/python/ndarray/ndarray.md
+++ b/docs/api/python/ndarray
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diff --git a/python/mxnet/gluon/loss.py b/python/mxnet/gluon/loss.py
index c8cdbede3d..8d4f151f23 100644
--- a/python/mxnet/gluon/loss.py
+++ b/python/mxnet/gluon/loss.py
@@ -128,7 +128,7 @@ class
mli closed issue #8319: [WIP-NewFeature] ONNX support for MXNet
URL: https://github.com/apache/incubator-mxnet/issues/8319
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cjolivier01 closed pull request #8311: Revert "[CMAKE] Fix windows cmake build"
URL: https://github.com/apache/incubator-mxnet/pull/8311
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cjolivier01 closed pull request #8277: v0.12 regression: Fix registration of
children for Block
URL: https://github.com/apache/incubator-mxnet/pull/8277
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cjolivier01 closed pull request #8125: Enable smoothing in softmax operator
URL: https://github.com/apache/incubator-mxnet/pull/8125
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cjolivier01 closed pull request #8301: Preparing for 0.12.0.rc0: Final changes
before RC
URL: https://github.com/apache/incubator-mxnet/pull/8301
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cjolivier01 commented on issue #8311: Revert "[CMAKE] Fix windows cmake build"
URL: https://github.com/apache/incubator-mxnet/pull/8311#issuecomment-337251807
Not yet
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dint(0, np.iinfo(np.uint32).max)
+if ostream is not None:
+ostream.write('Setting np.random seed to %s.\n' % seed)
Review comment:
Why not use logging? I think is better to writing to stdout or stderr in
general.
--------
This is
larroy commented on issue #8313: Ci test randomness
URL: https://github.com/apache/incubator-mxnet/pull/8313#issuecomment-337179592
LGTM, modulo the comments below.
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,
numeric_eps=1e-3, rto
if ctx is None:
ctx = default_context()
+_rng = get_rng()
Review comment:
why the _ prefix? is not a member?
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larroy commented on issue #8313: Ci test randomness
URL: https://github.com/apache/incubator-mxnet/pull/8313#issuecomment-337179592
LGTM, modulo the comments above.
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and
python3
either you can switch to python3 or you can try to import this at the
beginning of the file : `from __future__ import absolute_import`
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U
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ase
correct me if I'm wrong.
But I think `stream->wait` can be called at bottom only once, since `Eval`
and `Copy` use the same stream. Is this safe?
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agataradys commented on issue #8291: Import error in SSD example
URL:
https://github.com/apache/incubator-mxnet/issues/8291#issuecomment-337134052
@edmBernard I use python2
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ing computations. Please
correct me if I' wrong.
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re neccessary for the corresponding computations.
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for inspecting data on cpu.
```
auto err = cpu_ret.data().dptr();
CHECK_EQ(*err, 0) << "Check validity of the CSRNDArray";
```
If data is on gpu, can't do like this.
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for inspecting data.
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auto err = cpu_ret.data().dptr();
CHECK_EQ(*err, 0) << "Check validity of the CSRNDArray";
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If data is on gpu, can't do like this.
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eric-haibin-lin closed pull request #8314: fix wrong documentation for make_loss
URL: https://github.com/apache/incubator-mxnet/pull/8314
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to note here
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piiswrong closed pull request #8241: Negative begin and end support for csr
slice
URL: https://github.com/apache/incubator-mxnet/pull/8241
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make it work
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and compile with USE_PROFILER=1
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ob xpu_tmp = xpu_ret.data();
+ ndarray::Eval(0, _tmp, rctx);
+ rctx.get_stream()->Wait();
+ auto indptr_type = input->aux_type(csr::kIndPtr);
Review comment:
let's reduce the usage of auto for simple types
----
there's nothing to check.
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`CheckFormatImpl` rely on
input value being initialized to a default value?
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se add brief comment about what is checked
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current err message is not
very informative.
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these
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cjolivier01 closed pull request #8304: remove usage of install command from
code gen
URL: https://github.com/apache/incubator-mxnet/pull/8304
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applicable, API doc)
## Comments ##
- If this change is a backward incompatible change, why must this change be
made.
- Intersting edge cases to note here
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zhreshold commented on issue #8310: Bug in ./example/
URL:
https://github.com/apache/incubator-mxnet/issues/8310#issuecomment-337112594
Thanks for reporting.
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he magic number `16` come from?
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kvstore=None, param_names=None):
Review comment:
Is this function not updated with batch aggregation?
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{
}
virtual ~KVStoreLocal() {
-delete comm_;
Review comment:
I think `delete nullptr` is safe
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ed_vals) {
+ virtual void GroupKVPairsPull(const std::vector& keys,
Review comment:
Why is `virtual` added here?
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0000
> class(digit)
[1] "MXNDArray"
```
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be proven...
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Wi
for essential
information to most of the technical issues.
## Description
Simple_bind error with custom OP with auxiliary_states
Package used (Python/R/Scala/Julia):
I'm using Python
MXNet commit hash:
(Paste the output of `git rev-parse HEAD` here
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/symbol_vgg.py` and `symbol_resnet.py`, all
`mx.symbol.contrib.Proposal` need to update to `mx.contrib.symbol.Proposal`.
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the actual time
for each backend operation.
https://mxnet.incubator.apache.org/versions/master/how_to/perf.html?highlight=profile#profiler
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844727
>1.285344123840332
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r Cuda may solve the problem but we still not
understand why
distributed learning can not deal with the operator registry.
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.
- Intersting edge cases to note here
related issue: https://github.com/apache/incubator-mxnet/issues/8303
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e help me..
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With regard
ptrendx commented on issue #8305: MXNet Build Failure with DEV=1
URL:
https://github.com/apache/incubator-mxnet/issues/8305#issuecomment-337082130
Will look into it.
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studio):
MXNet commit hash:
(Paste the output of `git rev-parse HEAD` here.)
65b258700dda06b0c9d1913ff5aa525beb88438b
Build config:
(Paste the content of config.mk, or the build command.)
## Error Message:
(Paste the complete error message, including stack trace
true.
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her the kernel sizes are valid
+if (dshape[2] != 0) {
+ CHECK_LE(dilated_ksize_d, AddPad(dshape[2], param_.pad[0])) << "kernel
size exceed input";
+}
+if (dshape[3] != 0) {
+ CHECK_LE(dilated_ksize_y, AddPad(dshape[3], param_.pad[1])) << "kernel
size exceed input";
+}
+if (dsh
/NightlyTutorialUbuntu/367/consoleFull
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models to MXNet format.
+ - Added `ConvLSTM` to gluon.contrib.
Review comment:
what about VariationalDropout?
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models to MXNet format.
+ - Added `ConvLSTM` to gluon.contrib.
Review comment:
what about VariationalDropout?
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cjolivier01 closed pull request #8293: Added my code signing key
URL: https://github.com/apache/incubator-mxnet/pull/8293
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...)
For R user, please provide R `sessionInfo()`:
## Build info (Required if built from source)
Compiler (gcc/clang/mingw/visual studio):
MXNet commit hash: 43234d0f0a9e8dbed81cf0298fe8f5a33f3a552f
(Paste the output of `git rev-parse HEAD` here.)
Build config:
(Paste
eric-haibin-lin commented on issue #8303: arange op returns wrong result
URL:
https://github.com/apache/incubator-mxnet/issues/8303#issuecomment-337063409
Fixed by #8268
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eric-haibin-lin closed issue #8303: arange op returns wrong result
URL: https://github.com/apache/incubator-mxnet/issues/8303
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models to MXNet format.
+ - Added `ConvLSTM` to gluon.contrib.
Review comment:
Please update line 14 with the features that I listed. It's not just conv
lstm.
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user, please provide R `sessionInfo()`:
## Build info (Required if built from source)
Compiler (gcc/clang/mingw/visual studio):
MXNet commit hash: 43234d0f0a9e8dbed81cf0298fe8f5a33f3a552f
(Paste the output of `git rev-parse HEAD` here.)
Build config:
(Paste
am concerned about the potential shape problem.
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if (oshape[4] && param_.stride[2] == 1) {
+ dshape[4] = oshape[4] + dilated_ksize_x - 1 - 2 * param_.pad[2];
+}
+SHAPE_ASSIGN_CHECK(*in_shape, conv::kData,
+ConvertLayout(dshape, kNCDHW, param_.layout.value()));
+// Check whether the kernel sizes are valid
/
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piiswrong commented on issue #8302: Refactor operators
URL: https://github.com/apache/incubator-mxnet/pull/8302#issuecomment-337048293
Please move cudnn_* files into nn/cudnn/
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operators.
Review comment:
moved to other features
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models to MXNet format.
+ - Added `ConvLSTM` to gluon.contrib.
Review comment:
@szha can you clarify what needs to be added here?
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operators.
Review comment:
This is not a sparse feature.
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+ - Added `ConvLSTM` to gluon.contrib.
Review comment:
Convolutional recurrent networks for RNN, LSTM, and GRU. VariationalDropout.
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the domain names be the apache one?
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t variable.
You may consider installing the package from pip as it's easier. `pip
install mxnet`
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/issues/7750
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AP_OKw69u6unsz71CB93AdepLWHr8Grgks5ss7qLgaJpZM4Mh5cT>
> .
>
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master.
Everything should look good now. Script is complaining even though the links
are valid and working.
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-tuning which is
forthcoming.
(Using Kernel makes this op eligible for OMP-tuned calls)
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-tuning which is
forthcoming.
(Using mxnet_op Kernel::Launch() makes this op eligible for OMP-tuned calls)
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the right libgfortran.
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, avg: 0.631356 ms X
500 passes
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3.9994s
[success] 7.70% test_conv.test_mnist: 17.9464s
--
Ran 5 tests in 237.792s
FAILED (failures=1)
```
## Steps to reproduce
Build and run unit test
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