mirror of
https://github.com/nerfstudio-project/nerfstudio.git
synced 2026-11-13 19:33:46 +08:00
Ethan Weber
457788d689
* renaming dataloader to data. adding some dataloader classes * restructuring configs * fixed instant ngp tcnn direction rescaling * working through test cases * black and lint and tests
33 lines
854 B
Python
33 lines
854 B
Python
"""
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Code for embeddings.
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"""
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import torch
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from torchtyping import TensorType
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from pyrad.fields.modules.base import FieldModule
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class Embedding(FieldModule):
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"""Index into embeddings.
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# TODO: add different types of initializations
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"""
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def __init__(self, in_dim: int, out_dim: int) -> None:
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"""
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Args:
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in_dim (int): Number of embeddings
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out_dim (int): Dimension of the embedding vectors
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"""
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super().__init__()
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self.in_dim = in_dim
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self.out_dim = out_dim
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self.build_nn_modules()
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def build_nn_modules(self) -> None:
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self.embedding = torch.nn.Embedding(self.in_dim, self.out_dim)
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def forward(self, in_tensor: TensorType[..., "input_dim"]) -> TensorType[..., "output_dim"]:
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"""Call forward"""
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return self.embedding(in_tensor)
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