Requesting an invitation to slack.
Thanks,
--TongKe
Hi,
I know the following:
1. Symbol supports Convolution ::
https://mxnet.incubator.apache.org/api/scala/symbol.html
2. Some functions are dynamically added to Symbol/NDArray at runtime.
3. I grepped through the scala mxnet test suites -- found nothing for
NDArray / Convolution.
4. I ran java
Hi,
I would also like to join the slack channel. I'm trying to use mxnet
in production. (Java API seems most production ready among all DL
libraries.)
--TongKe
On Tue, Nov 7, 2017 at 1:11 AM, leonardo espinosa
wrote:
> Hi there,
>
> I'm using MXNet for teaching and research, I'd love to join
estion may help us help you (
>
> Hagay
>
> On 11/2/17, 12:10, "TongKe Xue" wrote:
>
> Hi,
>
> I'm looking for a js library compatible with mxnet/ndarray.
>
> 1. I am aware of https://github.com/dmlc/mxnet.js/
> However:
> a. that
Hi,
1. I'm running into issues with NDArrayFuncReturn vs NDArray. In particular:
1a. Transpose is defined on NDArray, but does not appear to be defined
on NDArrayFuncReturn:
https://github.com/apache/incubator-mxnet/blob/master/scala-package/core/src/main/scala/ml/dmlc/mxnet/NDArray.scala#L665
2
Hi,
** 1. Here is the documentation of numpy.cumsum :
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.cumsum.html
** 2. The key example is as follows:
>>> np.cumsum(a,axis=0) # sum over rows for each of the 3 columns
array([[1, 2, 3],
[5, 7, 9]])
>>> np.cumsum(a,ax
If I'm understanding mxnet.js correctly, any mxnet model can be
converted to mxnet.js via:
https://github.com/dmlc/mxnet.js/blob/master/tools/model2json.py
and then executed on mxnet.js
Questions: is this 'mxnet json model' format documented anywhere?
On Thu, Nov 2, 2017 at 1
Hi,
I'm looking for a js library compatible with mxnet/ndarray.
1. I am aware of https://github.com/dmlc/mxnet.js/
However:
a. that appears to be all of mxnet, not ndarray
b. that appears to only support Python models, whereas I'm using Java/Scala
2. I am aware of https://github.com/scijs/ndar
Hi,
Looking at https://mvnrepository.com/artifact/ml.dmlc.mxnet?sort=newest
it appears there are no new maven packages since Jun 3 2017.
For using the mxnet scala api, is the standard solution to:
1. always build from github / source via
https://mxnet.incubator.apache.org/get_started/build_f
Hi!
[I'm referring to the Scala API]
1. mxnet symbol has auto diff:
https://mxnet.incubator.apache.org/tutorials/r/symbol.html
2. from Googling around, I can't find NDArray auto diff anywhere
3. however, NDArray tracks dependencies -- which, in theory, should
be enough for doing autodif
eflection. Or, when
> compiling the scala package, it prints all operators out.
>
> 2017-10-19 8:15 GMT+00:00 YiZhi Liu :
>> The javadoc cannot be added in this way. I'm afraid we have to write
>> another 'javadoc generator' for these operators.
>>
ter method?
Thanks,
--TongKe
On Wed, Oct 18, 2017 at 8:59 PM, YiZhi Liu wrote:
> Hi TongKe,
>
> The symbols you are looking for are auto-generated by scala macros.
> Pls refer to scala-package/macros
>
> 2017-10-19 0:40 GMT+00:00 TongKe Xue :
>> Hi Rahul,
>>
>>
x.sym.quadratic for short."
>
> I'd think the Scala package works similarly.
>
> Regards,
> Rahul
>
>
>
>
> On Wed, Oct 18, 2017 at 5:06 PM, TongKe Xue wrote:
>
>> My earlier question was a bit messy.
>>
>> To rephrase my question:
>>
>
contain the string "Convolution"
https://github.com/apache/incubator-mxnet/blob/master/scala-package/core/src/main/scala/ml/dmlc/mxnet/Symbol.scala#L982
Question: where/how is Symbol.Convolution defined?
On Wed, Oct 18, 2017 at 4:10 PM, TongKe Xue wrote:
> Hi,
>
>
Hi,
I am reading: https://mxnet.incubator.apache.org/api/scala/symbol.html
I see Symbol.Variable, Symbol.Convolution
When I look at Symbol.scala, I see Symbol.Variable at:
https://github.com/apache/incubator-mxnet/blob/master/scala-package/core/src/main/scala/ml/dmlc/mxnet/Symbol.scala#L982
How
spose)
Is either of these things possible?
Thanks!
On Mon, Oct 16, 2017 at 4:15 PM, TongKe Xue wrote:
> Quoting:
> https://github.com/apache/incubator-mxnet/blob/master/scala-package/core/src/main/scala/ml/dmlc/mxnet/NDArray.scala#L545-L546
>
> * WARNING: it is your responsibil
Quoting:
https://github.com/apache/incubator-mxnet/blob/master/scala-package/core/src/main/scala/ml/dmlc/mxnet/NDArray.scala#L545-L546
* WARNING: it is your responsibility to clear this object through dispose().
* NEVER rely on the GC strategy
Is there a way to say "dispose all ndarrays of this
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