Tag:
Branch:
Tree:
a60fa901b0
3.4
4.x
5.x
master
next
3.0.0
3.0.0-beta
3.0.0-rc1
3.1.0
3.2.0
3.2.0-rc
3.3.0
3.3.0-rc
3.3.1
3.4.0
3.4.1
3.4.10
3.4.11
3.4.12
3.4.13
3.4.14
3.4.15
3.4.16
3.4.17
3.4.18
3.4.19
3.4.2
3.4.20
3.4.3
3.4.4
3.4.5
3.4.6
3.4.7
3.4.8
3.4.9
4.0.0
4.0.0-alpha
4.0.0-beta
4.0.0-rc
4.0.1
4.1.0
4.1.1
4.1.2
4.10.0
4.11.0
4.2.0
4.3.0
4.4.0
4.5.0
4.5.1
4.5.2
4.5.3
4.5.4
4.5.5
4.6.0
4.7.0
4.8.0
4.8.1
4.9.0
5.0.0-alpha
${ noResults }
2 Commits (a60fa901b0b81df7567082b62178095661010455)
| Author | SHA1 | Message | Date |
|---|---|---|---|
huafengchun
|
927aff695f |
Enable AscendC kernel operator
AscendC is an extended syntax for the C/C++ language that can be used to write operators that run on Ascend NPU. This commit introduce an operator(threshold) written in AscendC. Others can refer to this to implement other operators. AscendC can implement efficient fusion operators according to needs, in this case, threshold execution speed increased by nearly 4 times. Co-authored-by: CaoMengqing <cmq0113@163.com> |
1 year ago |
|
hipudding
|
3c5635eacf
|
Add operators support for Ascend NPU (CANN backend) (#3552)
CANN (Compute Architecture of Neural Networks), developped by Huawei, is a heterogeneous computing architecture for AI. Opencv DNN has already suppoted CANN backend [#22634](https://github.com/opencv/opencv/pull/22634). There are more and more users using [Ascend NPU](https://www.hiascend.com/) and programming with CANN, and the number is still growing rapidly. AI training and inference are inseparable from data preprocessing. When users use OpenCV to work with CANN backend, data preprocessing can only run on CPUs, resulting in inefficiency. The purpose of this commit is to enable OpenCV operators on CANN backend. The usage of CANN backend is consistent, Please refer to OpenCV DNN: [CANN backend manual] (https://gist.github.com/fengyuentau/083f7f339592545c1f1d2c1fde6a53dc#file-a_ocv_cann-md): 1. [Install dependencies] (https://gist.github.com/fengyuentau/083f7f339592545c1f1d2c1fde6a53dc#install-dependencies) 2. [Install CANN] (https://gist.github.com/fengyuentau/083f7f339592545c1f1d2c1fde6a53dc#install-cann) 3. [Compile OpenCV with CANN] (https://gist.github.com/fengyuentau/083f7f339592545c1f1d2c1fde6a53dc#build-opencv-with-cann) The CANN backend is used in a similar way to CUDA: | Object | CANN | CUDA | | --------- | ------------ | -------- | | Namespace | cv::cann | cv::cuda | | Matrix | AscendMat | GpuMat | | Stream | AscendStream | Stream | | Event | AscendEvent | Event | The current commit provides CANN backend operator support framework, In order to make code viewing easy, only a few basic interfaces are implemented, all of the following operators are tested and compared result with CPU backend. More operators will continue implement in new independent commits. Co-authored-by: CaoMengqing <cmq0113@163.com> |
1 year ago |