Comments (10)
Hello,
Thanks for your interest in onnx-go
.
This is a good subject and an excellent idea!
IMHO, onnx-go
by itself would not benefit from a distributed execution (it's "only" a parsing mechanism that reconstructs a graph). But, the execution backend would.
By now, the most advanced backend is Gorgonia, and Gorgonia would benefit from a distributed computation system.
brief sidenote: Gorgonia's architecture is extensible. It uses an Expression Graph that is computed by a VM
. The VM is an interface.
Last week I created a distributed VM based on go-routines and channels. I think it can be a good starting point for distributed computing.
My idea is to eventually end with something similar to the pregel
algo used in spark.
More info here:
I am also present on the #gorgonia channel on the #gopherslack. Feel free to join and/or to send me PM there. I would be glad to help you.
from onnx-go.
from onnx-go.
Hi Olivier, what is "#gorgonia channel on the #gopherslack?"
from onnx-go.
It's a channel on gophers.slack.com. You don't need any invitation to join this.
This URL should be direct access to the channel https://app.slack.com/client/T029RQSE6/CP1GMBUP2
from onnx-go.
Thanks for the clarification. Slack prompted "Contact the workspace administrator for an invitation," though.
from onnx-go.
An invitation is now required for gophers.slack.com?
Besides, can we close this issue?
from onnx-go.
from onnx-go.
If it is possible, could you please invite me to gophers.slack.com? @owulveryck
from onnx-go.
from onnx-go.
Thanks
from onnx-go.
Related Issues (20)
- Failed to infer shape. Op: A × Bᵀ: Inner dimensions do not match up HOT 2
- Implement operator `Gather` for backend `Gorgonia` HOT 3
- Cannot model.UnmarshalBinary - says 'No data found' HOT 1
- Can't import onnx model, converted from BigGAN-PyTorch HOT 2
- Implement operator LSTM,Clip for backend Gorgonia HOT 1
- Will this project be maintained further and are contributions still welcomed?
- Implement operator `LinearRegressor` for backend `gorgonia`
- "Asymmetric padding" error
- panic: negative dimension size does not make sense
- ../../go/src/gorgonia.org/tensor/dense_compat.go:442:23: undefined: array.Interface HOT 2
- Updated depens
- poor performance (run model)
- run() function calls newMachine() everytime HOT 1
- Question: unsqueeze: axes in not an []int64 HOT 3
- Support for empty tensors
- Tape machine does not reset properly for some models HOT 2
- Implement operator `PReLU` for backend `Gorgonia`
- Implement operator `Cast` for backend `Gorgonia`
- panic: index out of range HOT 4
- the Error during UnmarshalBinary(b)
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from onnx-go.