MDF
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This repository contains the source for the MDF specification and Python API
If A->B and B->A, one of these needs to be the start point when evaluating the graph. But what does the input port of the start node get when it...
Should parameters listed in the Graph element be usable in (any) Nodes in the Graph? https://mdf.readthedocs.io/en/latest/api/Specification.html#graph It seems to make sense that they would, so you can set a value...
e.g. https://github.com/ModECI/MDF/actions/runs/8347579020/job/22847503522 See https://github.com/ts-graphviz/setup-graphviz/issues/578
1. The "Edit on GitHub" link is broken for all the content of ['modeci_mdf' API Reference Section](https://mdf.readthedocs.io/en/latest/api/_autosummary/modeci_mdf.html#) in the documentation. 2. Clicking on any of them leads to a page...
https://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html Possible steps for @Ivy8127: - [ ] Create a standalone repo with a python script version of the model - [ ] Add tests/Github actions for training/using the model...
https://github.com/ModECI/MDF/blob/2e9cd9c41aed8486b93ba7c0ac06258a0bfb20a1/src/modeci_mdf/interfaces/actr/importer.py#L203-L215 Should https://github.com/ModECI/MDF/blob/2e9cd9c41aed8486b93ba7c0ac06258a0bfb20a1/src/modeci_mdf/interfaces/actr/importer.py#L213 be ```python Condition(type="EveryNCalls", dependencies=pm_node.id, n=1), ``` instead? There's an edge from pm_node (not dm_node) to pattern_node.
Current development is limited to torch from torch.onnx.symbolic_helper import _set_opset_version E ImportError: cannot import name '_set_opset_version' from 'torch.onnx.symbolic_helper' (/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/torch/onnx/symbolic_helper.py) /opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/modeci_mdf/interfaces/pytorch/importer.py:526: ImportError ```
Proof of concept for torch.fx to MDF #431 - Created **pytorch_fx_to_mdf()** which takes a pytorch model, argument as its input and converts to MDF model by node then edges then...
The current Keras to MDF conversion pipeline only works when the Keras model contains an Input Layer and/ Flatten Layers and / Dense Layers. It uses a function that checks...
https://keras.io/examples/vision/3D_image_classification/#define-a-3d-convolutional-neural-network @Onoyiza This is the example we discussed yesterday. Will probably need some additional onnx operators used