Daniel Shawul wrote: ↑Mon Feb 08, 2021 3:42 pm Hi Carlos,
There is an "EgbbProbe not loaded" in the message which is the problem.
Scorpio needs egbbdll compiled with NN/NNUE support to be able to run with NN and NNUE.
First, are you trying to run Scorpio on a machine without a GPU, because your installation is only for running Scorpio on CPU ?
Second try running the commandfrom the command line in the directory "C:\WinBoard-4.6.2\Engines\Scorpio_3.0.11\Scorpio\bin\Windows" to make sureCode: Select all
scorpio.bat go quit
the installation is correct. It should show analysis from the start position. Please post that output.
Code: Select all
C:\WinBoard-4.6.2\Engines\Scorpio_3.0.11\Scorpio\bin\Windows>scorpio.bat go quit
feature done=0
Number of cores 4 of 4
treeht 81840078 X 328 = 25600.0 MB
processors [4]
ht 67108864 X 16 = 1024.0 MB
eht 262144 X 8 X 4 = 16.0 MB
pht 32768 X 24 X 4 = 3.0 MB
EgbbProbe not Loaded!
loading_time = 1s
# rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1
# [st = 10835ms, mt = 29250ms , hply = 0 , moves_left 10]
OTOH, I use the 3.0.8 classic version and 2.85 with montecarlo search enabled without problems.
This is my ini for the 3.0.8 version:
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###################################################
# log on/off - turn logging on and off
# resign - resign value in centipawns
# contempt - +ve value discourages drawishness
###################################################
log on
resign 800
contempt 10
##################################################################
# 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] - rollouts alpha-beta search percentage when using AB-rollouts + MCTS with shared tree
# frac_abrollouts [0 - 100] - rollouts alpha-beta search percentage when using AB-rollouts + AB with shared tree
# frac_abprior [0 - 100] - standard alpha-beta search percentage when using AB + MCTS, and AB used as prior
# alphabeta_man_c [0 - 32] - switch to regular alpha-beta search with this many pieces on board
# 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 0
treeht 12800
frac_freeze_tree 100
frac_alphabeta 0
frac_abrollouts 20
frac_abprior 30
alphabeta_man_c 20
mcts_strategy_depth 30
alphabeta_depth 16
evaluate_depth 0
backup_type 6
reuse_tree 1
virtual_loss 1
visit_threshold 3200
policy_temp 235
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 1
smp_depth 8
cluster_depth 12
message_poll_nodes 20
smp_type ABDADA
cluster_type YBW
##################################################################
# 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 128
eht 4
pht 1
##########################################################################
# EGBB
# egbb_path - path to dll/so file for probing endgame egbbs
# egbb_files_path - path to endgame egbbs, if not specified it takes
# value of egbb_path
# 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 /home/daniel/egbb/
egbb_files_path /home/daniel/egbb/
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
# wdl_head - network has WDL head (e.g JH networks do)
# win/draw/loss_weight - weights for WDL resp in precent, range is [0...1000]
# min_policy_value - minimum policy value in per mill. For 1%, set to 10
#######################################
use_nn 0
nn_cache_size 200
nn_type 0
wdl_head 0
nn_path ../nets-scorpio/ens-net-12x128.pb
device_type CPU
n_devices 1
delay 0
float_type HALF
win_weight 100
draw_weight 100
loss_weight 100
min_policy_value 10
################################################################
# Multiple nets settings
#------------------------
# The opening is played by default network specified above
# nn_man_m/e -- threshold piece counts for middle/end game
# nn_type_m/e -- neural network type for middle/end game
# >=0 = as specified before
# -1/-2/-3 = used to refer to either opening/midgame/endgame network
# nn_path_m/e -- path to neural networks for middle/end game
# cpuct_init_m/e -- cpuct for middle/endgame
# policy_temp_m/e -- policy temperature for middle/endgame
# wdl_head_m/e -- wdl value head for middle/endgame
# ensemble -- percent of time to use ensembling [0-100]
# ensemble_type -- 0 = arthimetic mean, 1 = root mean cube
################################################################
nn_man_m 24
nn_man_e 14
nn_type_m -1
nn_type_e -1
nn_path_m ../nets-scorpio/ens-net-12x128.pb
nn_path_e ../nets-scorpio/ens-net-12x128.pb
cpuct_init_m 125
cpuct_init_e 125
policy_temp_m 235
policy_temp_e 235
wdl_head_m 0
wdl_head_e 0
ensemble 0
ensemble_type 0