Multimodal & Vision-Language Models3 / 3
Multimodal & Vision-Language Models
Implement cross-attention adapter layers letting text tokens attend to frozen vision features with gated residual injection.
class GatedCrossAttnImplement the function/class skeleton in the editor. Any correct approach is accepted.
import torch
import torch.nn as nn
class GatedCrossAttn(nn.Module):
def __init__(self, d_model, n_heads, d_vision):
raise NotImplementedError
def forward(self, x, vision, vision_mask=None):
raise NotImplementedError⌘/Ctrl↵to submit
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Multimodal & Vision-Language Models
Implement cross-attention adapter layers letting text tokens attend to frozen vision features with gated residual injection.
class GatedCrossAttnImplement the function/class skeleton in the editor. Any correct approach is accepted.