i use go_gui to run sai vs katago, but it raise a video card error

[l1t1]

detail see
lightvector/KataGo#102

btw, i set -v 800 with net number 240

[l1t1]

i rebooted the computer,
tried the second time, same error
game 1

(;FF[4]CA[UTF-8]AP[gogui-twogtp:1.4.9]
KM[7.5]PB[SAI]PW[KataGo]DT[2020-01-15]
C[Black command: D:\\sai\\sai --gtp -w D:\\sai\\sai240.gz --noponder -v 800
White command: D:\\KataGo13\\katago gtp -model D:\\KataGo13\\g170e.gz -config D:\\gtp_example.cfg
Black version: 0.17.5
White version: 1.3
Result[Black\]: ?
Result[White\]: W+9.5
Host: PC
Date: January 15, 2020 1:40:41 PM CST]
;B[dp];W[pd];B[qc];W[pc];B[qd];W[qf];B[qe];W[pe];B[rf];W[pp]
;B[qq];W[pq];B[qp];W[qn];B[rn];W[rm];B[ro];W[pm];B[qg];W[pf]
;B[dd];W[qb];B[rh];W[rc];B[rd];W[sd];B[re];W[qr];B[ql];W[qm]
;B[rr];W[pr];B[rs];W[sn];B[rb];W[sp];B[lc];W[cq];B[dq];W[cp]
;B[co];W[bo];B[bn];W[cn];B[do];W[bm];B[bp];W[an];B[bq];W[cr]
;B[br];W[pg];B[ph];W[oh];B[oi];W[pi];B[qh];W[nh];B[jd];W[jp])

game 2

KM[7.5]PB[SAI]PW[KataGo]DT[2020-01-15]
C[Black command: D:\\sai\\sai --gtp -w D:\\sai\\sai240.gz --noponder -v 800
White command: D:\\KataGo13\\katago gtp -model D:\\KataGo13\\g170e.gz -config D:\\gtp_example.cfg
Black version: 0.17.5
White version: 1.3
Result[Black\]: ?
Result[White\]: W+7.5
Host: PC
Date: January 15, 2020 1:51:43 PM CST]
;B[pp];W[dd];B[cc];W[dc];B[cd];W[cf];B[ce];W[de];B[bf];W[pd]
;B[qc];W[pc];B[qd];W[qf];B[rf];W[rg];B[re];W[pg];B[dp];W[qb]
;B[rb];W[pb];B[ra];W[jd];B[lc];W[le];B[jb];W[ic];B[ib];W[gc]
;B[nc];W[ne];B[hb];W[qn];B[cg];W[df];B[qh];W[qg];B[nq];W[cb]
;B[bh];W[bc];B[bd];W[ad];B[be];W[on])

[l1t1]

and if i don't reboot the computer, neither program can run

D:\tool\go_gui>D:\KataGo13\katago gtp -model D:\KataGo13\g170e.gz -config D:\gtp_example.cfg
KataGo v1.3
Uncaught exception: OpenCL error at C:\Data\Data\Coding\Python\KataGo\cpp\neuralnet\openclhelpers.cpp, func err, line 188, error CL_PLATFORM_NOT_FOUND_KHR

D:\tool\go_gui>D:\sai\sai --gtp -w D:\sai\sai240.gz --noponder -v 800
Using OpenCL batch size of 5
Using 10 thread(s).
RNG seed: 444893606324751658
BLAS Core: built-in Eigen 3.3.7 library.
Version 209 weights file (advanced board features + chain liberties + chain size).
Detecting residual layers... v209
13 input planes, 1 input moves
192 channels... 9 blocks
2 policy outputs. Double value head. Type Y.
Common convolution: 5 outputs.
Alpha head: 384 channels. Beta head: 256 channels.
Initializing OpenCL (autodetecting precision).
OpenCL: clGetPlatformIDs