yourusername
commited on
Commit
•
e39e45c
1
Parent(s):
5fff95e
:construction: wip
Browse files- config.json +1 -0
- model.py +23 -8
- pytorch_model.bin +3 -0
config.json
ADDED
@@ -0,0 +1 @@
|
|
|
1 |
+
{"input_dim": 784, "hidden_dims": [256, 64, 16, 4, 2]}
|
model.py
CHANGED
@@ -1,8 +1,11 @@
|
|
|
|
1 |
from pathlib import Path
|
2 |
-
from typing import Tuple
|
|
|
3 |
import torch
|
4 |
-
from torch import nn
|
5 |
import torch.nn.functional as F
|
|
|
|
|
6 |
|
7 |
|
8 |
class Dense(nn.Module):
|
@@ -42,14 +45,21 @@ class Decoder(nn.Module):
|
|
42 |
return self.layers(x)
|
43 |
|
44 |
|
45 |
-
|
|
|
|
|
|
|
|
|
46 |
|
47 |
-
|
|
|
|
|
48 |
super().__init__()
|
49 |
-
self.
|
50 |
-
self.
|
51 |
-
|
52 |
-
self.
|
|
|
53 |
|
54 |
def forward(self, x):
|
55 |
x = x.flatten(1)
|
@@ -58,6 +68,11 @@ class Autoencoder(nn.Module):
|
|
58 |
loss = F.mse_loss(recon, x)
|
59 |
return recon, latent, loss
|
60 |
|
|
|
|
|
|
|
|
|
|
|
61 |
|
62 |
class MessageModel:
|
63 |
|
1 |
+
from dataclasses import dataclass
|
2 |
from pathlib import Path
|
3 |
+
from typing import Union, List, Tuple
|
4 |
+
|
5 |
import torch
|
|
|
6 |
import torch.nn.functional as F
|
7 |
+
from huggingface_hub import ModelHubMixin
|
8 |
+
from torch import nn
|
9 |
|
10 |
|
11 |
class Dense(nn.Module):
|
45 |
return self.layers(x)
|
46 |
|
47 |
|
48 |
+
@dataclass
|
49 |
+
class AutoencoderConfig:
|
50 |
+
input_dim: int = 784
|
51 |
+
hidden_dims: Union[Tuple[str], List[str]] = (256, 64, 16, 4, 2)
|
52 |
+
|
53 |
|
54 |
+
class Autoencoder(nn.Module, ModelHubMixin):
|
55 |
+
|
56 |
+
def __init__(self, config: Union[dict, AutoencoderConfig] = AutoencoderConfig(), **kwargs):
|
57 |
super().__init__()
|
58 |
+
self.config = AutoencoderConfig(**config) if isinstance(config, dict) else config
|
59 |
+
self.config.__dict__.update(**kwargs)
|
60 |
+
|
61 |
+
self.encoder = Encoder(self.config.input_dim, *self.config.hidden_dims)
|
62 |
+
self.decoder = Decoder(self.config.input_dim, *reversed(self.config.hidden_dims))
|
63 |
|
64 |
def forward(self, x):
|
65 |
x = x.flatten(1)
|
68 |
loss = F.mse_loss(recon, x)
|
69 |
return recon, latent, loss
|
70 |
|
71 |
+
def save_pretrained(self, save_directory, **kwargs):
|
72 |
+
assert 'config' not in kwargs, \
|
73 |
+
"save_pretrained handles passing model config for you, please dont pass it"
|
74 |
+
super().save_pretrained(save_directory, config=self.config.__dict__, **kwargs)
|
75 |
+
|
76 |
|
77 |
class MessageModel:
|
78 |
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e550b61b21a7ffdae47ee0f22740aadf94053d00d129af9e7764a0e547b9f17a
|
3 |
+
size 1758947
|