1.14: newer default network (#638)
* 1.12.4 (#606) * edit katrain/core/sgf_parser.py * edit katrain/i18n/locales/de/LC_MESSAGES/katrain.po, edit katrain/i18n/locales/cn/LC_MESSAGES/katrain.po and 17 other changes * Bump requests from 2.25.0 to 2.31.0 (#623) Bumps [requests](https://github.com/psf/requests) from 2.25.0 to 2.31.0. - [Release notes](https://github.com/psf/requests/releases) - [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md) - [Commits](https://github.com/psf/requests/compare/v2.25.0...v2.31.0) --- updated-dependencies: - dependency-name: requests dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * edit katrain/gui/popups.py * edit katrain/gui/popups.py * win exe * edit katrain/KataGo/katago * update workflows * upgrade model --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Sander Land <sander.land@cognite.com> Co-authored-by: Sander Land <sander@chatdesk.com>
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@@ -468,15 +468,14 @@ class BaseConfigPopup(QuickConfigGui):
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"Strongest distributed model": "https://katagotraining.org/api/networks/get_strongest/",
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}
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MODELS = {
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"20 block model": "https://github.com/lightvector/KataGo/releases/download/v1.4.5/g170e-b20c256x2-s5303129600-d1228401921.bin.gz",
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"30 block model": "https://github.com/lightvector/KataGo/releases/download/v1.4.5/g170-b30c320x2-s4824661760-d1229536699.bin.gz",
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"40 block model": "https://github.com/lightvector/KataGo/releases/download/v1.4.5/g170-b40c256x2-s5095420928-d1229425124.bin.gz",
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"18 'nested residual block' model": "https://github.com/lightvector/KataGo/releases/download/v1.12.2/b18c384nbt-uec.bin.gz",
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"18 block 'optimistic policy' model": "https://github.com/lightvector/KataGo/releases/download/v1.13.0/b18c384nbt-optimisticv13-s5971M.bin.gz",
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"old 15 block model": "https://github.com/lightvector/KataGo/releases/download/v1.3.2/g170e-b15c192-s1672170752-d466197061.txt.gz",
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}
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MODEL_DESC = {
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"Fat 40 block model": "https://d3dndmfyhecmj0.cloudfront.net/g170/neuralnets/g170e-b40c384x2-s2348692992-d1229892979.zip",
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"15 block model": "https://d3dndmfyhecmj0.cloudfront.net/g170/neuralnets/g170e-b15c192-s1672170752-d466197061.bin.gz",
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"Recommended 18b model": "https://media.katagotraining.org/uploaded/networks/models/kata1/kata1-b18c384nbt-s6582191360-d3422816034.bin.gz",
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"old 20 block model": "https://github.com/lightvector/KataGo/releases/download/v1.4.5/g170e-b20c256x2-s5303129600-d1228401921.bin.gz",
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"old 30 block model": "https://github.com/lightvector/KataGo/releases/download/v1.4.5/g170-b30c320x2-s4824661760-d1229536699.bin.gz",
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"old 40 block model": "https://github.com/lightvector/KataGo/releases/download/v1.4.5/g170-b40c256x2-s5095420928-d1229425124.bin.gz",
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}
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KATAGOS = {
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@@ -495,6 +494,8 @@ class BaseConfigPopup(QuickConfigGui):
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"just-descriptions": {
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"CUDA v1.13.0 (Windows)": "https://github.com/lightvector/KataGo/releases/download/v1.13.0/katago-v1.13.0-cuda11.2-windows-x64.zip",
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"CUDA v1.13.0 (Linux)": "https://github.com/lightvector/KataGo/releases/download/v1.13.0/katago-v1.13.0-cuda11.1-linux-x64.zip",
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"Cuda/TensorRT v1.13.0 (Windows)": "https://github.com/lightvector/KataGo/releases/download/v1.13.0/katago-v1.13.1-trt8.2-cuda11.2-windows-x64.zip",
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"Cuda/TensorRT v1.13.0 (Linux)": "https://github.com/lightvector/KataGo/releases/download/v1.13.0/katago-v1.12.1-trt8.2-cuda11.1-linux-x64.zip",
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},
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}
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@@ -548,7 +549,7 @@ class BaseConfigPopup(QuickConfigGui):
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# no description to bottom
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model_files = sorted(
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[(find_description(path), path) for path in model_files],
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key=lambda descpath: "Z" * 10 + path if descpath[0] == descpath[1] else descpath[0],
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key=lambda descpath: ("Recommended" not in descpath[0], " - " not in descpath[0], descpath[0]),
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)
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models_available_msg = i18n._("models available").format(num=len(model_files))
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self.model_files.values = [models_available_msg] + [desc for desc, path in model_files]
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@@ -907,7 +908,6 @@ class GameReportPopup(BoxLayout):
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("aitop5", "{:.1%}", "ai_top5_move", 1, True),
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]
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):
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statcell = {
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bw: TableStatLabel(
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text=fmt.format(sum_stats[bw][stat]) if stat in sum_stats[bw] else "",
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