File size: 2,049 Bytes
8e25d2f
e13a447
 
 
8e25d2f
83769ba
e87857c
83769ba
e87857c
 
 
83769ba
e87857c
 
 
 
 
 
 
 
83769ba
e87857c
83769ba
e87857c
 
83769ba
e87857c
83769ba
e87857c
 
 
 
 
 
 
 
 
 
 
 
4333eb5
e87857c
 
 
4333eb5
e87857c
 
33c5ff2
4333eb5
e87857c
 
 
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
---
license: bsd-3-clause
pipeline_tag: object-detection
library_name: executorch
---

# ssdlite320-mobilenet-v3-large

This repository hosts the **ssdlite320-mobilenet-v3-large** models exported for the
[React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch)
library as ExecuTorch `.pte` programs, ready to run on device.

Upstream model: [SSDLite320 MobilenetV3 Large](https://pytorch.org/vision/main/models/generated/torchvision.models.detection.ssdlite320_mobilenet_v3_large.html#ssdlite320-mobilenet-v3-large)

## Variants

| Path | Backend | Precision |
| --- | --- | --- |
| `coreml/ssdlite320_mobilenet_v3_large_coreml_fp16.pte` | coreml | fp16 |
| `xnnpack/ssdlite320_mobilenet_v3_large_xnnpack_fp32.pte` | xnnpack | fp32 |

## Unshipped backends

A backend directory carrying a `NOTES.md` and no `.pte` was exported and
not published. Its note records what went wrong.

- `mlx` ([why](https://huggingface.co/software-mansion/react-native-executorch-ssdlite320-mobilenet-v3-large/blob/main/mlx/NOTES.md))

## Repository structure

```
config.json                                             51 B
coreml/config.json                                      1.1 kB
coreml/ssdlite320_mobilenet_v3_large_coreml_fp16.pte    8.1 MB
mlx/NOTES.md                                            3.4 kB
xnnpack/config.json                                     1.1 kB
xnnpack/ssdlite320_mobilenet_v3_large_xnnpack_fp32.pte  13.3 MB
```

## Compatibility

These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch
gives no forward compatibility guarantee, so an older runtime may fail to load
them.

To use them in React Native ExecuTorch, pass the model constant shipped in the
library's model registry to the corresponding task pipeline. See the
[documentation](https://docs.swmansion.com/react-native-executorch/docs/fundamentals/downloading-models).

To load these files in your own ExecuTorch runtime, read the
[compatibility note](https://github.com/pytorch/executorch/blob/main/runtime/COMPATIBILITY.md)
first.