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Annotated Deep Learning Paper Implementations
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Annotated Deep Learning Paper Implementations
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前往新版Gitcode,体验更适合开发者的 AI 搜索 >>
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0bfb2106
编写于
8月 10, 2022
作者:
V
Varuna Jayasiri
浏览文件
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电子邮件补丁
差异文件
fix vit pe
上级
4cf1d74e
变更
2
隐藏空白更改
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并排
Showing
2 changed file
with
4 addition
and
4 deletion
+4
-4
labml_nn/transformers/vit/__init__.py
labml_nn/transformers/vit/__init__.py
+2
-2
labml_nn/transformers/vit/experiment.py
labml_nn/transformers/vit/experiment.py
+2
-2
未找到文件。
labml_nn/transformers/vit/__init__.py
浏览文件 @
0bfb2106
...
...
@@ -39,7 +39,7 @@ Here's [an experiment](experiment.html) that trains ViT on CIFAR-10.
This doesn't do very well because it's trained on a small dataset.
It's a simple experiment that anyone can run and play with ViTs.
[![View Run](https://img.shields.io/badge/labml-experiment-brightgreen)](https://app.labml.ai/run/
8b531d9ce3dc11eb84fc87df6756eb8f
)
[![View Run](https://img.shields.io/badge/labml-experiment-brightgreen)](https://app.labml.ai/run/
afdd5332188b11edbdf543360515b595
)
"""
import
torch
...
...
@@ -114,7 +114,7 @@ class LearnedPositionalEmbeddings(Module):
* `x` is the patch embeddings of shape `[patches, batch_size, d_model]`
"""
# Get the positional embeddings for the given patches
pe
=
self
.
positional_encodings
[
x
.
shape
[
0
]]
pe
=
self
.
positional_encodings
[
:
x
.
shape
[
0
]]
# Add to patch embeddings and return
return
x
+
pe
...
...
labml_nn/transformers/vit/experiment.py
浏览文件 @
0bfb2106
...
...
@@ -7,7 +7,7 @@ summary: >
# Train a [Vision Transformer (ViT)](index.html) on CIFAR 10
[![View Run](https://img.shields.io/badge/labml-experiment-brightgreen)](https://app.labml.ai/run/
8b531d9ce3dc11eb84fc87df6756eb8f
)
[![View Run](https://img.shields.io/badge/labml-experiment-brightgreen)](https://app.labml.ai/run/
afdd5332188b11edbdf543360515b595
)
"""
from
labml
import
experiment
...
...
@@ -76,7 +76,7 @@ def main():
'transformer.d_model'
:
512
,
# Training epochs and batch size
'epochs'
:
1000
,
'epochs'
:
32
,
'train_batch_size'
:
64
,
# Augment CIFAR 10 images for training
...
...
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