I have a machine with WIN10 and RTX 2070. I have installed the WIN10 Ubuntu app and I used Scorpio's shell script (install.sh). And except the update of the ini file the script seems to work well. Now I have that file structure:
C:\Data\scorpio\Scorpio-16-Jul-2019\bin\Windows
C:\Data\scorpio\Scorpio-16-Jul-2019\nets-maddex
C:\Data\scorpio\Scorpio-16-Jul-2019\nnprobe-windows-gpu
Is that correct? Will Scorpio automatically find the DLLs in the "nnprobe-windows-gpu" directory? I ask because I get no information about the nn part of Scorpio in the log:
Code: Select all
ht 67108864 X 16 = 1024.0 MB
eht 524288 X 8 = 8.0 MB
pht 32768 X 24 = 0.8 MB
treeht 1342169600 X 10 = 12799.9 MB
processors [128]
<COMMAND LINE>
loading_time = 0s
==============================Code: Select all
#############################################
# log on/off - turn logging on and off
# resign - resign value in centipawns
#############################################
log on
resign 800
##################################################################
# Hashtable sizes in mb.
# ht - main hash table shared by ALL threads
# eht - evalualtion hash table allocated PER thread
# pht - pawn hash table allocated PER thread
# Usually 1m or 2mb is enough for pawn hash table, but the others
# can be set as high as possible
##################################################################
ht 1024
eht 8
pht 1
##################################################################
# montecarlo - Use montecarlo tree search (MCTS) if set to 1
# treeht - Maximum size of tree to store in memory given in MB.
# Note that this memory is not allocated at start up; it only
# specifies the maximum limit the tree could grow to.
# Note: Don't think you are making scorpio weak by not setting
# this memory to high value, infact treeht=0 is the strongest
# MCTS setting.
# frac_freeze_tree [0 - 100] - freeze tree after this percentage of time is spent
# frac_alphabeta [0 - 100] - use alpha-beta search this percent of the time
# frac_abrollouts [0 - 100] - use alpha-beta rollouts search this percent of the time
# mcts_strategy_depth [0 - 64] - Lookahead depth for MCTS rollouts
# alphabeta_depth [0 - 64] - Fixed search depth for standard alphabeta searches at the leaves
# evaluate_depth [-4 - 64] - Fixed search depth for evaluation of new children during expansion
# (-4=eval,-3=see,-2=recap qsearch,-1=no-checks qsearch 0=qsearch,x=search)
# backup_type [0 - 7] - minmax = 0, averaging = 1, mixed = 2, for mixing score with
# previous ID use 3,4,5 resp. 6 is classic MCTS, 7 is mixing by visit count
# reuse_tree - reuse MCTS tree between moves
# virtual_loss - virtual loss for parallel search
# visit_threshold - minimum number of visits for minimax backup
# policy_temp - Temperature for move policy
# cpuct_init - Starting cpuct value
# cpuct_base - Denominator of cpuct forumula
# fpu_is_loss - FPU is loss (1=true, 0=false)
# fpu_red - Reduction factor for FPU
##################################################################
montecarlo 1
treeht 12800
frac_freeze_tree 100
frac_alphabeta 0
frac_abrollouts 20
frac_abprior 0
mcts_strategy_depth 30
alphabeta_depth 16
evaluate_depth 0
backup_type 7
reuse_tree 1
virtual_loss 1
visit_threshold 800
policy_temp 200
cpuct_init 125
cpuct_base 19652
fpu_is_loss 0
fpu_red 33
#############################################################################
# Parallel search setup
# mt - number of processors
# smp_depth - split depth for smp
# cluster_depth - split depth for cluster search
# message_poll_nodes - number nodes to search before checking for message
#############################################################################
mt 128
smp_depth 8
cluster_depth 12
message_poll_nodes 20
smp_type YBW
cluster_type YBW
##########################################################################
# EGBB
# egbb_path - path to endgame egbbs
# egbb_cache_size - cache size for egbbs in MBs
# egbb_ply_limit_percent - percent of plies from the root to egbb probing
# egbb_depth_limit - depth from the leaves to egbb probing
# egbb_load_type - egbb load type with the following values
# 0 = none are loaded
# 1 = all 3/4 men are loaded
# 2 = Not implemented yet
# 3 = all 5 men are loaded
##########################################################################
egbb_path Z:/Scorpio6menEGTB/
egbb_cache_size 32
egbb_load_type 3
egbb_depth_limit 6
#######################################
# NN
# use_nn - turn off/on neural network
# nn_cache_size - neural network cache size in MBs
# nn_path - path to neural network
# nn_type - type of neural network (0=scorpio, 1=lczero)
# device_type - CPU or GPU
# delay - Sleep threads for this amount. Set this to 1
# if you are using way too many threads than you
# have physical cores (maybe when >16x more).
# float_type - inference precison for tensorrt = FLOAT/HALF/INT8
#######################################
use_nn 1
nn_cache_size 200
nn_type 1
nn_path C:/Data/scorpio/Scorpio-16-Jul-2019/nets-maddex/net-maddex.uff
device_type GPU
n_devices 1
delay 1
float_type HALF
Torsten
