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Messages - chida

Pages: 1 [2] 3 4 5 6
16
Technical Support / Get sender address from RPC api
« on: January 14, 2014, 05:47:11 pm »
hi and sorry,

i try to understand this world and i try to crate a game/services.

My program in c# .net call the wallet by RPC, but how i can get sender address ?

for now i can get the transaction on specific account by listtransactions, i try getrawtransaction verbose or decoderawtransaction, but i can't get the address of sender.

Can you help me?

From same code on github I understand that is possible or necessary analize all blockchain for get the sender address because is necessary analise all out address.
May be sufficient the single raw transaction?

17
Code: [Select]
13:51:31.013 [GPU0] Platform: Intel(R) OpenCL
13:51:31.013 [GPU0] Device: Intel(R) HD Graphics 4000
13:51:31.013 [GPU0] Total device memory: 1624 MB
13:51:31.013 [GPU0] Maximum buffer size: 406 MB
13:51:31.013 [GPU0] Cannot use the device! Maximum buffer size is less than 1024
MB
13:51:31.013 [GPU1] Platform: NVIDIA CUDA
13:51:31.013 [GPU1] Device: GeForce 610M
13:51:31.013 [GPU1] Total device memory: 2048 MB
13:51:31.013 [GPU1] Maximum buffer size: 512 MB
13:51:31.013 [GPU1] Cannot use the device! Maximum buffer size is less than 1024
MB
13:51:31.013 [GPU2] Device not found
13:51:31.013 Started 0 miner threads

nooo    :'(

is possible set the program for use in Maximum buffer size 512?

18
Code: [Select]
13:51:31.013 [GPU0] Platform: Intel(R) OpenCL
13:51:31.013 [GPU0] Device: Intel(R) HD Graphics 4000
13:51:31.013 [GPU0] Total device memory: 1624 MB
13:51:31.013 [GPU0] Maximum buffer size: 406 MB
13:51:31.013 [GPU0] Cannot use the device! Maximum buffer size is less than 1024
MB
13:51:31.013 [GPU1] Platform: NVIDIA CUDA
13:51:31.013 [GPU1] Device: GeForce 610M
13:51:31.013 [GPU1] Total device memory: 2048 MB
13:51:31.013 [GPU1] Maximum buffer size: 512 MB
13:51:31.013 [GPU1] Cannot use the device! Maximum buffer size is less than 1024
MB
13:51:31.013 [GPU2] Device not found
13:51:31.013 Started 0 miner threads

nooo    :'(

19
74

i think is nice soluction

20
BitShares PTS / Re: [ANN] PTS.1GH.COM - GPU mining
« on: January 11, 2014, 08:46:18 pm »
other pc with nvidia gtx 450

Code: [Select]
Traceback (most recent call last):
  File "pts-miner.py", line 5, in <module>
  File "zipextimporter.pyo", line 82, in load_module
  File "pyopencl\__init__.pyo", line 28, in <module>
  File "zipextimporter.pyo", line 98, in load_module
ImportError: MemoryLoadLibrary failed loading pyopencl\_cl.pyd

C:\Users\Chisi\Downloads\pts-1gh-win\pts-1gh-win>pause

21
MemoryCoin / Re: [ANN] MMC.1GH.COM - GPU mining
« on: January 11, 2014, 08:14:29 pm »
update driver but

Traceback (most recent call last):
  File "mmc-miner.py", line 5, in <module>
  File "zipextimporter.pyo", line 82, in load_module
  File "pyopencl\__init__.pyo", line 28, in <module>
  File "zipextimporter.pyo", line 98, in load_module
ImportError: MemoryLoadLibrary failed loading pyopencl\_cl.pyd

Same error here - when we find the right .dlls, I think it would be a good idea to bundle them with the zip to make it as easy as possible to use.
I probably cannot (may not) bundle Nvidia dlls with my software. Rather it should be installation instructions for what is missing..

Would you please run dependency walker on the .pyd file itself (it is a pyopencl module DLL). I have put it here: http://mmcdl.1gh.com/_cl.pyd.zip

ok, now there is same problem like in
MSVCP90.DLL
PYTHON27.DLL
GPSVC.DLL
and more

save dwi in http://sdrv.ms/1c38N6Y
As for MVCP90.DLL, would you please try installing this: http://www.microsoft.com/en-us/download/details.aspx?id=29 ?
Not sure about GPSVC.DLL yet.

same error

22
MemoryCoin / Re: [ANN] MMC.1GH.COM - GPU mining
« on: January 11, 2014, 10:10:00 am »
update driver but

Traceback (most recent call last):
  File "mmc-miner.py", line 5, in <module>
  File "zipextimporter.pyo", line 82, in load_module
  File "pyopencl\__init__.pyo", line 28, in <module>
  File "zipextimporter.pyo", line 98, in load_module
ImportError: MemoryLoadLibrary failed loading pyopencl\_cl.pyd

Same error here - when we find the right .dlls, I think it would be a good idea to bundle them with the zip to make it as easy as possible to use.
I probably cannot (may not) bundle Nvidia dlls with my software. Rather it should be installation instructions for what is missing..

Would you please run dependency walker on the .pyd file itself (it is a pyopencl module DLL). I have put it here: http://mmcdl.1gh.com/_cl.pyd.zip

ok, now there is same problem like in
MSVCP90.DLL
PYTHON27.DLL
GPSVC.DLL
and more

save dwi in http://sdrv.ms/1c38N6Y

23
MemoryCoin / Re: [ANN] MMC.1GH.COM - GPU mining
« on: January 11, 2014, 09:59:57 am »
update driver but

Traceback (most recent call last):
  File "mmc-miner.py", line 5, in <module>
  File "zipextimporter.pyo", line 82, in load_module
  File "pyopencl\__init__.pyo", line 28, in <module>
  File "zipextimporter.pyo", line 98, in load_module
ImportError: MemoryLoadLibrary failed loading pyopencl\_cl.pyd

Same error here - when we find the right .dlls, I think it would be a good idea to bundle them with the zip to make it as easy as possible to use.

i think too

24
MemoryCoin / Re: [ANN] MMC.1GH.COM - GPU mining
« on: January 10, 2014, 02:14:33 pm »
Hi,
NVIDIA news?
Should work, if you have a proper Nvidia OpenCL installation in your system.

with Dependency Walker 2.2 for 32 bit all is ok


update driver but

Traceback (most recent call last):
  File "mmc-miner.py", line 5, in <module>
  File "zipextimporter.pyo", line 82, in load_module
  File "pyopencl\__init__.pyo", line 28, in <module>
  File "zipextimporter.pyo", line 98, in load_module
ImportError: MemoryLoadLibrary failed loading pyopencl\_cl.pyd
In Windows, you should have 32-bit OpenCL.dll in your system32 folder. Please check if it is the case.

in C:\Windows\System32 there is OpenCL.dll . How i check if is 32 bit?
Well, it is 32-bit since it made it to that folder. Still, the miner cannot load it for some reason. Could you perhaps try opening it with dependency wakler to see what it might be missing?

with Dependency Walker 2.2 for 32 bit is all ok
2 dll
MSVCR90.DLL
KERNEL32.DLL

25
MemoryCoin / Re: [ANN] MMC.1GH.COM - GPU mining
« on: January 10, 2014, 01:53:43 pm »
Hi,
NVIDIA news?
Should work, if you have a proper Nvidia OpenCL installation in your system.

update driver but

Traceback (most recent call last):
  File "mmc-miner.py", line 5, in <module>
  File "zipextimporter.pyo", line 82, in load_module
  File "pyopencl\__init__.pyo", line 28, in <module>
  File "zipextimporter.pyo", line 98, in load_module
ImportError: MemoryLoadLibrary failed loading pyopencl\_cl.pyd
In Windows, you should have 32-bit OpenCL.dll in your system32 folder. Please check if it is the case.

in C:\Windows\System32 there is OpenCL.dll . How i check if is 32 bit?

this sample works
https://developer.nvidia.com/opencl

26
MemoryCoin / Re: [ANN] MMC.1GH.COM - GPU mining
« on: January 10, 2014, 01:45:42 pm »
Hi,
NVIDIA news?
Should work, if you have a proper Nvidia OpenCL installation in your system.

update driver but

Traceback (most recent call last):
  File "mmc-miner.py", line 5, in <module>
  File "zipextimporter.pyo", line 82, in load_module
  File "pyopencl\__init__.pyo", line 28, in <module>
  File "zipextimporter.pyo", line 98, in load_module
ImportError: MemoryLoadLibrary failed loading pyopencl\_cl.pyd

27
MemoryCoin / Re: [ANN] MMC.1GH.COM - GPU mining
« on: January 09, 2014, 08:04:26 pm »
Hi,
NVIDIA news?

28
Italiano (Italian) / Re: angelshare e bitshare
« on: January 08, 2014, 01:38:13 pm »
grazie per la spiegazione.
Quello che non si capisce perĂ² e come fare a sapere quanti angelshare ho dopo aver donato.
Sai come fare?

29
MemoryCoin / Re: testnet work?
« on: January 06, 2014, 09:17:21 pm »
+1

30
MemoryCoin / Re: [ANN] MMC.1GH.COM - GPU mining
« on: January 06, 2014, 01:48:15 pm »
Guys,

I have now a build of GPU miner that works with Nvidia. Its performance is rather disappointing, though: AWS g2.2xlarge (GRID K520) yields just 3.58hpm. It cannot be significantly improved upon. Consumer-grade cards would yield a similar or worse performace. Given that, please give your opinion on whether you would be using such a miner.

I'd love to do a tester

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