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8270b151
编写于
6月 28, 2018
作者:
Z
Zero King
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<div
align=
"center"
>
<img
src=
"docs/mace-logo.png"
width
=
"400"
alt=
"MACE"
/>
<div
align=
"center"
>
<img
src=
"docs/mace-logo.png"
width
=
"400"
alt=
"MACE"
/>
</div>
...
...
@@ -32,16 +32,16 @@ targets:
introduced to allow better preemption for the UI rendering task.
*
Memory usage and library footprint
*
Graph level memory allocation optimization and buffer reuse are supported.
The core library tries to keep minium external dependencies to keep the
The core library tries to keep mini
m
um external dependencies to keep the
library footprint small.
*
Model protection
*
Model protection is the highest priority feature from the beginning of
the design. Various techniques are introduced like coverting models to C++
the design. Various techniques are introduced like co
n
verting models to C++
code and literal obfuscations.
*
Platform coverage
*
A good coverage of recent Qualcomm, MediaTek, Pinecone and other ARM based
chips. CPU runtime is also compatible with most POSIX systems and
arch
e
tectures with limited performance.
arch
i
tectures with limited performance.
## Getting Started
*
[
Introduction
](
https://mace.readthedocs.io/en/latest/getting_started/introduction.html
)
...
...
@@ -51,12 +51,12 @@ targets:
## Performance
[
MACE Model Zoo
](
https://github.com/XiaoMi/mace-models
)
contains
several common neural networks and models which will be built daily against a list of mobile
phones. The benchmark result can be found in the CI result page.
phones. The benchmark result
s
can be found in the CI result page.
## Communication
*
GitHub issues: bug reports, usage issues, feature requests
*
Mailing list:
[
mace-users@googlegroups.com
](
mailto:mace-users@googlegroups.com
)
*
Google
g
roups: https://groups.google.com/forum/#!forum/mace-users
*
Google
G
roups: https://groups.google.com/forum/#!forum/mace-users
*
QQ群: 756046893
## Contributing
...
...
@@ -69,7 +69,7 @@ please refer to [the contribution guide](https://mace.readthedocs.io/en/latest/d
[
Apache License 2.0
](
LICENSE
)
.
## Acknowledgement
MACE depends on several open source projects located in
MACE depends on several open source projects located in
the
[
third_party
](
third_party
)
directory. Particularly, we learned a lot from
the following projects during the development:
*
[
Qualcomm Hexagon NN Offload Framework
](
https://source.codeaurora.org/quic/hexagon_nn/nnlib
)
: the Hexagon DSP runtime
...
...
@@ -82,4 +82,4 @@ the following projects during the development:
practices from these projects.
Finally, we also thank the Qualcomm, Pinecone and MediaTek engineering teams for
their help
s
.
their help.
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