Add 4DHuman

motiondiff_modules/mGPT/models/utils/position_encoding_layer.py

@@ -0,0 +1,30 @@
+import numpy as np
+import torch
+from torch import nn
+
+
+class PositionalEncoding(nn.Module):
+
+    def __init__(self, d_model, dropout=0.1, max_len=5000, batch_first=False):
+        super().__init__()
+        self.batch_first = batch_first
+
+        self.dropout = nn.Dropout(p=dropout)
+
+        pe = torch.zeros(max_len, d_model)
+        position = torch.arange(0, max_len, dtype=torch.float).unsqueeze(1)
+        div_term = torch.exp(torch.arange(
+            0, d_model, 2).float() * (-np.log(10000.0) / d_model))
+        pe[:, 0::2] = torch.sin(position * div_term)
+        pe[:, 1::2] = torch.cos(position * div_term)
+        pe = pe.unsqueeze(0).transpose(0, 1)
+
+        self.register_buffer("pe", pe)
+
+    def forward(self, x):
+        # not used in the final model
+        if self.batch_first:
+            x = x + self.pe.permute(1, 0, 2)[:, : x.shape[1], :]
+        else:
+            x = x + self.pe[: x.shape[0], :]
+        return self.dropout(x)