RVC-Project / RVC-Project/Retrieval-based-Voice-Conversion-WebUI
I want to run on my phone,how need i to do
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- Dominant language
- Python
- Stars
- 38.4k
- Forks
- 5.3k
- PR merge metrics
- No merged PRs in 30d
Description
我想使用安卓手机,使userlander(基于termux)创建虚拟机,在虚拟机中进行模型训练,来解决租不起云服务器,自己电脑又不能长时间拿来跑模型的问题。可以预见的是用手机训练将会是一项比命长的游戏(同时充满bug),但搞事情的乐趣不就在此吗?
虚拟机信息:
I want to use an Android phone to use userlander (based on termux) to create a virtual machine and conduct model training in the virtual machine to solve the problem of not being able to rent a cloud server and not being able to use my own computer to run the model for a long time. It is foreseeable that training with mobile phones will be a game that outlives its life (and is full of bugs), but isn’t that the fun of making things happen?
Virtual machine information:
lscpu
Architecture: aarch64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0
Off-line CPU(s) list: 1-7
Vendor ID: ARM
Model name: Cortex-A53
Model: 2
Thread(s) per core: 1
Core(s) per cluster: 1
Socket(s): -
Cluster(s): 1
Stepping: r0p2
CPU(s) scaling MHz: 35%
CPU max MHz: 1950.0000
CPU min MHz: 0.0000
BogoMIPS: 26.00
Flags: fp asimd aes pmull sha1 sha2 crc32
cat /proc/meminfo
MemTotal: 3857672 kB
MemFree: 1108780 kB
Buffers: 11620 kB
Cached: 833632 kB
SwapCached: 0 kB
Active: 1517900 kB
Inactive: 342692 kB
Active(anon): 1015472 kB
Inactive(anon): 536 kB
Active(file): 502428 kB
Inactive(file): 342156 kB
Unevictable: 0 kB
Mlocked: 0 kB
SwapTotal: 2097148 kB
SwapFree: 2097148 kB
Dirty: 40 kB
Writeback: 0 kB
AnonPages: 1015296 kB
Mapped: 335780 kB
Shmem: 728 kB
Slab: 126844 kB
SReclaimable: 63412 kB
SUnreclaim: 63432 kB
KernelStack: 36256 kB
PageTables: 38268 kB
NFS_Unstable: 0 kB
Bounce: 0 kB
WritebackTmp: 0 kB
CommitLimit: 4025984 kB
Committed_AS: 95084692 kB
VmallocTotal: 251658176 kB
VmallocUsed: 809332 kB
VmallocChunk: 250732064 kB
Oppo0Free: 0 kB
Oppo2Free: 30592 kB
IonTotalUsed: 270108 Kb
GPU? sorry, no
所以请问,我可以用这个cpu来跑吗?
So, can I use this CPU to run it?
(如果我的行为是不可理喻的,或者错误的请直接批评我,很抱歉给您带来困扰)
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by checking the repository's installation and training documentation for supported platforms, then compare those requirements with the reported UserLAnd/Termux Android environment, ARM CPU, memory, and lack of GPU. Done would require a confirmed compatibility answer or a clearly scoped change for Android-based training, but the issue does not name files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, mobile-dev
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100