mirror of
https://github.com/nerfstudio-project/nerfstudio.git
synced 2026-11-11 02:24:38 +08:00
81fa5f9ba5
* misc improvements * cleanup * remove distortion * dist loss * only dist changed now * changes * remove comment
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
# Copyright 2022 The Plenoptix Team. All rights reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
"""
|
|
Code for embeddings.
|
|
"""
|
|
|
|
|
|
import torch
|
|
from torchtyping import TensorType
|
|
|
|
from nerfactory.fields.modules.base import FieldModule
|
|
|
|
|
|
class Embedding(FieldModule):
|
|
"""Index into embeddings.
|
|
# TODO: add different types of initializations
|
|
|
|
Args:
|
|
in_dim: Number of embeddings
|
|
out_dim: Dimension of the embedding vectors
|
|
"""
|
|
|
|
def __init__(self, in_dim: int, out_dim: int) -> None:
|
|
super().__init__()
|
|
self.in_dim = in_dim
|
|
self.out_dim = out_dim
|
|
self.build_nn_modules()
|
|
|
|
def build_nn_modules(self) -> None:
|
|
self.embedding = torch.nn.Embedding(self.in_dim, self.out_dim)
|
|
|
|
def mean(self, dim=0):
|
|
"""Return the mean of the embedding weights along a dim."""
|
|
return self.embedding.weight.mean(dim)
|
|
|
|
def forward(self, in_tensor: TensorType[..., "input_dim"]) -> TensorType[..., "output_dim"]:
|
|
"""Call forward
|
|
|
|
Args:
|
|
in_tensor: input tensor to process
|
|
"""
|
|
return self.embedding(in_tensor)
|