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ddfac7b5
编写于
5月 22, 2018
作者:
L
Liangliang He
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mobile heterogeneous computing platforms. The design is focused on the following
mobile heterogeneous computing platforms. The design is focused on the following
targets:
targets:
*
Performance
*
Performance
*
The runtime is highly optimized with NEON, OpenCL and Hexagon. Except for the
*
The runtime is highly optimized with NEON, OpenCL and Hexagon, and
inference speed, the initialization speed is also intensively optimized.
[
Winograd algorithm
](
https://arxiv.org/abs/1509.09308
)
is introduced to
speed up the convolution operations. Except for the inference speed, the
initialization speed is also intensively optimized.
*
Power consumption
*
Power consumption
*
Chip dependent power options are included as advanced API.
*
Chip dependent power options like big.LITTLE scheduling, Adreno GPU hints are
included as advanced API.
*
Memory usage and library footprint
*
Memory usage and library footprint
*
Graph level memory allocation optimization and buffer reuse is supported.
*
Graph level memory allocation optimization and buffer reuse is supported.
The core library tries to keep minium external dependencies to keep the
library footprint small.
*
Model protection
*
Model protection
*
Model protection is one the highest priority feature from the beginning of
*
Model protection is one 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 coverting models to C++
...
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