import torch
class MaskedSyntax(torch.nn.Module):
def __init__(self):
super().__init__()
self.name = "Aftaab Siddiqui"
self.alias = "MaskedSyntax"
self.stack = ["python", "c++", "ml"]
self.work = [
"models",
"inference",
"infrastructure",
"agents",
"tooling",
"graphs"
]
def forward(self, signal):
return signal
MaskedSyntax()(torch.tensor(2025))
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