blob: 9119e49117ffbda268f36324072d30ffd83c9e6c (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
|
book_path: /mobile/_book.yaml
project_path: /mobile/_project.yaml
description: <!--no description-->
landing_page:
rows:
- heading: TensorFlow Lite is a lightweight solution for mobile and embedded devices.
items:
- description: >
TensorFlow Lite is TensorFlow’s lightweight solution for mobile and
embedded devices. It enables on-device machine learning inference with
low latency and a small binary size. TensorFlow Lite also supports
hardware acceleration with the
<a href='https://developer.android.com/ndk/guides/neuralnetworks/index.html'>Android Neural Networks API</a>.
list:
- heading: Key point 1
description: >
[high-level overview]
icon:
icon_name: chevron_right
foreground: theme
background: grey
- heading: Key point 2
description: >
[high-level overview]
icon:
icon_name: chevron_right
foreground: theme
background: grey
- heading: Key point 3
description: >
[high-level overview]
icon:
icon_name: chevron_right
foreground: theme
background: grey
- code_block: |
<pre class = "prettyprint">
$ toco --input_file=$(pwd)/mobilenet_v1_1.0_224/frozen_graph.pb \
--input_format=TENSORFLOW_GRAPHDEF \
--output_format=TFLITE \
--output_file=/tmp/mobilenet_v1_1.0_224.tflite \
--inference_type=FLOAT \
--input_type=FLOAT \
--input_arrays=input \
--output_arrays=MobilenetV1/Predictions/Reshape_1 \
--input_shapes=1,224,224,3
</pre>
- classname: devsite-landing-row-cards
items:
- heading: Using TensorFlow Lite on Android
image_path: /ecosystem/images/tf-logo-card-16x9.png
path: https://medium.com/tensorflow/using-tensorflow-lite-on-android-9bbc9cb7d69d
buttons:
- label: Read on TensorFlow blog
path: https://medium.com/tensorflow/using-tensorflow-lite-on-android-9bbc9cb7d69d
- heading: TensorFlow Lite at the Dev Summit
youtube_id: FAMfy7izB6A
buttons:
- label: Watch the video
path: https://www.youtube.com/watch?v=FAMfy7izB6A
- heading: TensorFlow Lite on GitHub
image_path: /ecosystem/images/github-card-16x9.png
path: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite
buttons:
- label: View on GitHub
path: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite
|
