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trellis/modules/utils.py

@@ -0,0 +1,54 @@
+import torch.nn as nn
+from ..modules import sparse as sp
+
+FP16_MODULES = (
+    nn.Conv1d,
+    nn.Conv2d,
+    nn.Conv3d,
+    nn.ConvTranspose1d,
+    nn.ConvTranspose2d,
+    nn.ConvTranspose3d,
+    nn.Linear,
+    sp.SparseConv3d,
+    sp.SparseInverseConv3d,
+    sp.SparseLinear,
+)
+
+def convert_module_to_f16(l):
+    """
+    Convert primitive modules to float16.
+    """
+    if isinstance(l, FP16_MODULES):
+        for p in l.parameters():
+            p.data = p.data.half()
+
+
+def convert_module_to_f32(l):
+    """
+    Convert primitive modules to float32, undoing convert_module_to_f16().
+    """
+    if isinstance(l, FP16_MODULES):
+        for p in l.parameters():
+            p.data = p.data.float()
+
+
+def zero_module(module):
+    """
+    Zero out the parameters of a module and return it.
+    """
+    for p in module.parameters():
+        p.detach().zero_()
+    return module
+
+
+def scale_module(module, scale):
+    """
+    Scale the parameters of a module and return it.
+    """
+    for p in module.parameters():
+        p.detach().mul_(scale)
+    return module
+
+
+def modulate(x, shift, scale):
+    return x * (1 + scale.unsqueeze(1)) + shift.unsqueeze(1)