Comments (8)
Hello @yorkie, I am going now to switch on libtensorflow_cc.
I think you can start to move src/
to src/cc/framework/
in new branch (as libtensorflow_cc
for example)
What about naming and convention - fill free to determine the rules. But I see we have really similar notation in cpp
What related javascript
- the guys suggested to use Typescript
and I found it's really useful for the project
Here I created the task for deeper drilldown
Can you please joint to slack also?
Cheers )
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👍
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I think you can start to move src/ to src/cc/framework/ in new branch (as libtensorflow_cc for example)
Nope, could we still work on this repository, because basic work has been done at this repository.
What about naming and convention - fill free to determine the rules. But I see we have really similar notation in cpp
What I said for naming
is the repository name and org name, like nodejs-tensorflow
and tensorflow-nodejs
. We could unify this in merging time.
What related javascript - the guys suggested to use Typescript and I found it's really useful for the project
I don't think there is too guys make this suggestion, and I also think in current architecture, use JavaScript is more flexible and useful :)
Can you please joint to slack also?
My account is [email protected], but the team doesn't invite me that I could not join :)
Ok, basically this is what my replies to your above propose, I think still there are few things to talk about then, but it's good start, let's fix it one by one :)
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By the way, anyone feel free to join the discussion and build the let's tensorflow nodejs community together :)
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Nope, could we still work on this repository, because basic work has been done at this repository.
What is the problem? You are owner of the org, so we have the same access level. It would be better to have one shared single point of development
What I said for naming is the repository name and org name, like nodejs-tensorflow and tensorflow-nodejs. We could unify this in merging time.
We can ask googlers how would be better to name it, I took naming from there. But at the same time importing from python
or package name in java
has notation as tensorflow.lang
so may be would be better to rename to tensorflow-node/js
. Choose as you want, for me it's not big deal
I don't think there is too guys make this suggestion, and I also think in current architecture, use JavaScript is more flexible and useful :)
TypeScript
is similar as javascript, look at it as improved Babel
that allows you to speed up the development and improve consistency. You may look the video. I was really sceptic too, but the video changed my mind. I would like to have TypeScript
as mandatory
My account is [email protected], but the team doesn't invite me that I could not join :)
There is the link so you can register by your own
Resume:
- is needed to have
org
, I suggest mine that is yours also cause there is the issues and small community history. Also we can rename it in new notation if you choosetensorflow-node/js
. I suggest discuss it in pm on slack if you have any doubts - is needed to use
TypeScript
just because there is no any reason not to use it
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What is the problem? You are owner of the org, so we have the same access level. It would be better to have one shared single point of development
This is not the problem of access level, it's I have implemented most works based on the architecture about js and cpp, I think moving some features from nodejs-tensorflow would be low-cost if you have no problems :)
TypeScript is similar as javascript, look at it as improved Babel that allows you to speed up the development and improve consistency. You may look the video. I was really sceptic too, but the video changed my mind. I would like to have TypeScript as mandatory
TypeScript is such that heavily, and having a extra obstacle for a developer that wants to read. Maybe we could build a nn library or model by TypeScript.
There is the link so you can register by your own
Joined.
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I am going to do the work in the org repo in parallel then. Let stay on tune
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Ok, let's just close this channel :)
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Related Issues (20)
- API: renaming const and import HOT 1
- use cpplint for cpp with travis CI HOT 1
- PMR: attempting to use uninitialized value Variable
- ThrowStatusError() would drop the message of status
- Import all ops by TF_GetAllOpList
- PMR: initial values for parameters/variables
- some ops not work. HOT 3
- [Error] Library not loaded: bazel-out/darwin_x86_64-opt/bin/tensorflow/libtensorflow.so HOT 3
- Error: https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-win32-x86_64-1.2.1.tar.gz Not Found HOT 3
- Image.decodeJpeg HOT 1
- Could not locate the bindings file HOT 6
- WebAssembly HOT 1
- looking for sample with simple image identification according to model and labels HOT 3
- model save in model.ckpt file
- 支持GPU吗? HOT 1
- node > python > C wrapper ? HOT 1
- No support for your platform win32 HOT 1
- proto path to load fails HOT 2
- npm prebuild issue
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