Files
roboimi/roboimi/vla/modules/projectors.py
T

18 lines
550 B
Python

from __future__ import annotations
import torch
from torch import nn
class LinearConditionProjector(nn.Module):
"""Projects per-step visual+state conditioning to the head conditioning width."""
def __init__(self, input_dim: int, output_dim: int, bias: bool = True):
super().__init__()
self.input_dim = int(input_dim)
self.output_dim = int(output_dim)
self.linear = nn.Linear(self.input_dim, self.output_dim, bias=bias)
def forward(self, x: torch.Tensor) -> torch.Tensor:
return self.linear(x)