Closed JustinBakerMath closed 3 weeks ago
@JustinBakerMath
I've cloned and working on revising the incorporating the MACEStack. It looks like I have commit ability to your branch here. Do you have a preference for me PR'ing to your branch or directly committing is fine?
@JustinBakerMath
I've cloned and working on revising the incorporating the MACEStack. It looks like I have commit ability to your branch here. Do you have a preference for me PR'ing to your branch or directly committing is fine?
I am ok with whatever your preference is. It makes sense to add it here.
@JustinBakerMath @ArCho48
Thanks for yalls patience, I need to polish up MACE in other ways but it's best to leave that to do separate PR. Assuming MACE passes the checks, I believe it's integrated into the format here.
@JustinBakerMath @ArCho48
Is there anything left to adjust before tagging Max?
Hi Rylie,
Please go ahead.
On Fri, Nov 1, 2024 at 6:03 PM RylieWeaver @.***> wrote:
@JustinBakerMath https://github.com/JustinBakerMath @ArCho48 https://github.com/ArCho48
Is there anything left to adjust before tagging Max?
— Reply to this email directly, view it on GitHub https://github.com/ORNL/HydraGNN/pull/305#issuecomment-2452650315, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMSKZ5O7TNXH6LVYF4G6RLTZ6P3DZAVCNFSM6AAAAABQ6WZH2GVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDINJSGY2TAMZRGU . You are receiving this because you were mentioned.Message ID: @.***>
PR aimed at improving signatures and variable names to enhance model development.
Base.__init__(input_args, conv_args, ...)
requires arguments to be specified in the input to the base class. This enables better wrapper development by instantiatingself.input_args, self.conv_args
among all classes inheriting fromBase
. 1edge_attr
adding to the arguments ifuse_edge_attr
is true 2._conv_args
has been changed to_embedding
to handle embedding of equivariant information. This is inline with the recent changes inPAINN
and fits closely to the actual operations of this function. 3x, pos
toinv_node_feat, equiv_node_feat
. The original architectures treatedx
as invariant information andpos
as equivariant information. To improve the transparency of these variable names they have been adjusted. 4Base
e.g.PAINN
andPNAEq
now share the same forward call asBase
. 5