Introducing Igel chess engine

[voffka]

Hello OliverBr,

I am having problems running igel on an AMD EPYC 7502P 32-Core Processor with Linux:

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ch@AR161:~/engines/igel/src$ make
g++ -Wall -std=c++17 -mpopcnt -pthread -msse -msse2 -msse3 -msse4.1 -mavx2 -O3 -march=native -flto *.cpp nnue/*.cpp nnue/features/*.cpp -DNDEBUG -DEVAL_NNUE=1 -D_BTYPE=0 -DUSE_SSE2=1 -DUSE_SSSE3=1 -DUSE_SSE41=1 -DUSE_AVX2=1 -o igel
ch@AR161:~/engines/igel/src$ ./igel 
Igel 2.8.0 64 POPCNT by V. Medvedev, V. Shcherbyna
go
Segmentation fault

I think for such a modern CPU you need to use AVX2 switch, e.g.,

(BMI2 compatible build):

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-DEVAL_NNUE=1 -DUSE_AVX2=1 -D_BTYPE=1 -DSYZYGY_SUPPORT=TRUE

(POPCNT compatible build given the fact that his is an AMD):

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-DEVAL_NNUE=1 -DUSE_AVX2=1 -D_BTYPE=0 -DSYZYGY_SUPPORT=TRUE

For the segmentation fault, I think the problem is that you are not specifying a NNUE file via cmd line as a parameter. For example,

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setoption name Threads value 1
setoption name Hash value 256
setoption name EvalFile value C:\Users\volodymyr\Downloads\Igel_2_7_0.nnue
go infinite

[bastiball]

Can I have some SSE 4.1 + popnt for my Intel Celeron windows 10 Thanks a lot

[voffka]

Hey bastiball,

Can I have some SSE 4.1 + popnt for my Intel Celeron windows 10 Thanks a lot

Let me know the exact cpu code since I need to figure out it's architecture to use gcc march for it).

[voffka]

In late 2020 there have been a lot of discussions in the chess community about NNUE techology in general and NNUE networks in particular raising important questions about authenticity of networks.

I have decided to dedicate time and resources to create my own class of networks that will be used for future Igel releases: Igel Generation Network (IGN).

The IGN networks comply with the following mandatory requirements:

1. Source of network data: evaluation, search, pv line is generated solely using Igel chess engine. As a starting point Igel 2.6.0 is choosen as this was the last version of Igel featuring HCE (Hand Crafted Evaluation)

2. Both data and validation data generation must be following the rule #1

3. Two versions of Igel: 2.7.0 and 2.8.0 are excluded from network training/data generation process (both for data and for validation data) because they use Dietrich Kappe's Night Nurse network as thus violate the rule #1

4. Data generation and network training must be done by myself on my own (or rented by me) hardware in order to make sure the rule #1 is not violated

5. Each generation of network must contain information (on github page) on training parameters for clarity of the source of data

6. Complete source data of network may be given to tournament organizers for validation purposes and it must be possible for external parties to train the network from scratch using the provided data to the same strength as submitted network (margin of +-10 elo)

First versions of IGN will participate in TCEC Cup7 and will be released with Igel 2.9.0 in Q4 2020.

More technical info at https://github.com/vshcherbyna/igel#ige ... tworks-ign

[bastiball]

Hey bastiball,

Can I have some SSE 4.1 + popnt for my Intel Celeron windows 10 Thanks a lot

Let me know the exact cpu code since I need to figure out it's architecture to use gcc march for it).

Intel(R) Celeron(R) N4100 CPU @ 1.10Ghz

[bastiball]

Hey bastiball,

Can I have some SSE 4.1 + popnt for my Intel Celeron windows 10 Thanks a lot

Let me know the exact cpu code since I need to figure out it's architecture to use gcc march for it).

Intel(R) Celeron(R) N4100 CPU @ 1.10Ghz SSE4.1-popcnt windows 10 64 bit

Gemini Lake

[peter]

In late 2020 there have been a lot of discussions in the chess community about NNUE techology in general and NNUE networks in particular raising important questions about authenticity of networks.

I have decided to dedicate time and resources to create my own class of networks that will be used for future Igel releases: Igel Generation Network (IGN).

The IGN networks comply with the following mandatory requirements:

1. Source of network data: evaluation, search, pv line is generated solely using Igel chess engine. As a starting point Igel 2.6.0 is choosen as this was the last version of Igel featuring HCE (Hand Crafted Evaluation)

2. Both data and validation data generation must be following the rule #1

3. Two versions of Igel: 2.7.0 and 2.8.0 are excluded from network training/data generation process (both for data and for validation data) because they use Dietrich Kappe's Night Nurse network as thus violate the rule #1

4. Data generation and network training must be done by myself on my own (or rented by me) hardware in order to make sure the rule #1 is not violated

5. Each generation of network must contain information (on github page) on training parameters for clarity of the source of data

6. Complete source data of network may be given to tournament organizers for validation purposes and it must be possible for external parties to train the network from scratch using the provided data to the same strength as submitted network (margin of +-10 elo)

First versions of IGN will participate in TCEC Cup7 and will be released with Igel 2.9.0 in Q4 2020.

More technical info at https://github.com/vshcherbyna/igel#ige ... tworks-ign

Great news, Volodymyr!
Is the version playing in TCEC Cup 7 with dkappe's net still or already with IGN?
Looking forward to the match against Stoofvlees in next round.
Go Igel, go!
regards

[voffka]

Hello peter,

Great news, Volodymyr!
Is the version playing in TCEC Cup 7 with dkappe's net still or already with IGN?
Looking forward to the match against Stoofvlees in next round.
Go Igel, go!
regards

Thanks. The one playing in TCEC Cup7 is ign-0 network: https://github.com/vshcherbyna/igel#ign-0

[Jamal Bubker]

Hi !
Please someone could provide me a windows binary of Igel v2.8.0 designed for westemere architecture ?
Thanks
Greetings,
Jamal

[supersharp77]

Hey bastiball,

Can I have some SSE 4.1 + popnt for my Intel Celeron windows 10 Thanks a lot

Let me know the exact cpu code since I need to figure out it's architecture to use gcc march for it).

Igel v2.8 NNUE nonpopcnt x64.....Thx AR