2025-05-21 11:38.59: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (52f80ac5b7073e5cd5af3347bd172c26ccbb6053) (linux-x86_64:alpine-3.21-5.3_opam-2.3) Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 52f80ac5 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571 # alpine-3.21-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-21 11:38.59: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-21 11:38.59: Using OBuilder spec: ((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) (comment alpine-3.21-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-21 11:38.59: Waiting for resource in pool OCluster 2025-05-21 11:38.59: Waiting for worker… 2025-05-21 11:39.01: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 52f80ac5 stdout capture: close descriptors before joining the domain. Fixed by o3 (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-05-21 11:39.01 ---> using "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962" from cache /: (comment alpine-3.21-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 11:39.01 ---> using "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. [NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=255 --global <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-21 11:39.01 ---> using "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-21 11:39.01 ---> using "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 11:39.01 ---> using "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..c7d6d1d2aa master -> origin/master c7d6d1d2aa Merge pull request #27880 from MisterDA/os-family-fedora <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-21 11:39.37 ---> saved as "43e1dee62347055f32b5e04bae0991aab5ce6fbd71d6ccffe3f2b2126c80ab66" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 11:39.38 ---> saved as "e7ddea50aa22839dfda8010de8140d0239e99c619106cb339b5353531c35c275" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-21 11:39.43 ---> saved as "e484c0ab1208933935ea99bc70598cee6208e193d41df8fe48f1fb4eab086d7d" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 11:39.43 ---> saved as "31c63d847abbceacf1604facb33ec06337e17d98aafb8f0efde797325c19b227" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apk" "update" - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz - v3.21.3-506-gaa59717f6c9 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-508-ge5616f65dfd [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v20250108-8668-gc02c58dc4e3 [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v20250108-8674-g6fc107baff9 [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v20250108-8672-g68f7c4fbf20 [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58256 distinct packages available <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apk" "add" "libffi-dev" - (1/2) Installing linux-headers (6.6-r1) - (2/2) Installing libffi-dev (3.4.7-r0) - OK: 312 MiB in 104 packages 2025-05-21 11:40.17 ---> saved as "ccfbf9a7c0289af3dbae36b8308ca426d55954dd201bcd119d3d2662718a88a1" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> installed conf-pkg-config.4 -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved csexp.1.5.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> installed seq.base -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed mtime.2.1.0 -> installed uutf.1.0.4 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.18.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ctypes.0.23.0 -> installed printbox-ext-plot.0.12 -> installed base.v0.17.2 -> installed ctypes-foreign.0.23.0 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-21 11:43.54 ---> saved as "1c1d960bdfaefe8d5590710d6f1d52afada17a543b319751a275d7b1643adabf" /src: (copy (src .) (dst /src)) 2025-05-21 11:43.55 ---> saved as "b2ab6170ea47a10cd3897c4f59c1d147e8741c5edd551539d5f5fb66cda32d26" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1a43b4856b18398471dd54bfa6be9478/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 30-40, characters 0-281: 30 | (rule 31 | (alias runtest) 32 | (target 33 | (dir log_files)) 34 | (action 35 | (run 36 | %{dep:micrograd_demo_logging.exe} 37 | "--ocannl_debug_backend=text" 38 | "--ocannl_log_file_stem=micrograd_demo_logging" 39 | "--ocannl_log_main_domain_to_stdout=false" 40 | "--ocannl_debug_log_to_stream_files=true"))) (cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Retrieving commandline, environment, or config file variable ocannl_cd_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Found true, commandline --ocannl_debug_log_to_stream_files=true Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64 Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31 Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59 Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38 Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82 Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92 Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92 Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77 (cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190500, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190250, batch loss=0.278125, epoch loss=5.441779 Batch=1199, step=2400, lr=0.190250, batch loss=0.220806, epoch loss=5.662586 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662586 Batch=59, step=2460, lr=0.190000, batch loss=0.230381, epoch loss=0.230381 Batch=119, step=2520, lr=0.189750, batch loss=0.195947, epoch loss=0.426328 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647484 Batch=239, step=2640, lr=0.189250, batch loss=0.328091, epoch loss=0.975575 Batch=299, step=2700, lr=0.189000, batch loss=0.202939, epoch loss=1.178514 Batch=359, step=2760, lr=0.188500, batch loss=0.288261, epoch loss=1.466775 Batch=419, step=2820, lr=0.188500, batch loss=0.280168, epoch loss=1.746942 Batch=479, step=2880, lr=0.188250, batch loss=0.251463, epoch loss=1.998406 Batch=539, step=2940, lr=0.188000, batch loss=0.191272, epoch loss=2.189678 Batch=599, step=3000, lr=0.187750, batch loss=0.224972, epoch loss=2.414650 Batch=659, step=3060, lr=0.187500, batch loss=0.335762, epoch loss=2.750411 Batch=719, step=3120, lr=0.187250, batch loss=0.331423, epoch loss=3.081834 Batch=779, step=3180, lr=0.187000, batch loss=0.357919, epoch loss=3.439753 Batch=839, step=3240, lr=0.186750, batch loss=0.325619, epoch loss=3.765372 Batch=899, step=3300, lr=0.186500, batch loss=0.292365, epoch loss=4.057737 Batch=959, step=3360, lr=0.186250, batch loss=0.244979, epoch loss=4.302716 Batch=1019, step=3420, lr=0.186000, batch loss=0.361913, epoch loss=4.664629 Batch=1079, step=3480, lr=0.185750, batch loss=0.222059, epoch loss=4.886689 Batch=1139, step=3540, lr=0.185500, batch loss=0.264058, epoch loss=5.150747 Batch=1199, step=3600, lr=0.185250, batch loss=0.199939, epoch loss=5.350686 Epoch=2, step=3600, lr=0.185250, epoch loss=5.350686 Batch=59, step=3660, lr=0.185000, batch loss=0.221217, epoch loss=0.221217 Batch=119, step=3720, lr=0.184500, batch loss=0.184962, epoch loss=0.406179 Batch=179, step=3780, lr=0.184250, batch loss=0.211398, epoch loss=0.617577 Batch=239, step=3840, lr=0.184000, batch loss=0.316940, epoch loss=0.934517 Batch=299, step=3900, lr=0.183750, batch loss=0.209226, epoch loss=1.143743 Batch=359, step=3960, lr=0.183750, batch loss=0.285537, epoch loss=1.429281 Batch=419, step=4020, lr=0.183250, batch loss=0.278314, epoch loss=1.707594 Batch=479, step=4080, lr=0.183000, batch loss=0.254844, epoch loss=1.962438 Batch=539, step=4140, lr=0.183000, batch loss=0.200046, epoch loss=2.162485 Batch=599, step=4200, lr=0.182500, batch loss=0.242566, epoch loss=2.405051 Batch=659, step=4260, lr=0.182250, batch loss=0.327749, epoch loss=2.732799 Batch=719, step=4320, lr=0.182250, batch loss=0.330830, epoch loss=3.063629 Batch=779, step=4380, lr=0.182000, batch loss=0.349778, epoch loss=3.413407 Batch=839, step=4440, lr=0.181750, batch loss=0.317805, epoch loss=3.731213 Batch=899, step=4500, lr=0.181500, batch loss=0.285830, epoch loss=4.017043 Batch=959, step=4560, lr=0.181250, batch loss=0.239606, epoch loss=4.256649 Batch=1019, step=4620, lr=0.181000, batch loss=0.333062, epoch loss=4.589710 Batch=1079, step=4680, lr=0.180750, batch loss=0.195699, epoch loss=4.785410 Batch=1139, step=4740, lr=0.180500, batch loss=0.229089, epoch loss=5.014499 Batch=1199, step=4800, lr=0.180250, batch loss=0.193335, epoch loss=5.207834 Epoch=3, step=4800, lr=0.180250, epoch loss=5.207834 Batch=59, step=4860, lr=0.180000, batch loss=0.242890, epoch loss=0.242890 Batch=119, step=4920, lr=0.179750, batch loss=0.198242, epoch loss=0.441132 Batch=179, step=4980, lr=0.179500, batch loss=0.206256, epoch loss=0.647387 Batch=239, step=5040, lr=0.179250, batch loss=0.306196, epoch loss=0.953584 Batch=299, step=5100, lr=0.179000, batch loss=0.203063, epoch loss=1.156646 Batch=359, step=5160, lr=0.178750, batch loss=0.272570, epoch loss=1.429216 Batch=419, step=5220, lr=0.178500, batch loss=0.264313, epoch loss=1.693529 Batch=479, step=5280, lr=0.178250, batch loss=0.240425, epoch loss=1.933954 Batch=539, step=5340, lr=0.178000, batch loss=0.189572, epoch loss=2.123526 Batch=599, step=5400, lr=0.177750, batch loss=0.232046, epoch loss=2.355572 Batch=659, step=5460, lr=0.177500, batch loss=0.323628, epoch loss=2.679200 Batch=719, step=5520, lr=0.177250, batch loss=0.325227, epoch loss=3.004427 Batch=779, step=5580, lr=0.177000, batch loss=0.337281, epoch loss=3.341708 Batch=839, step=5640, lr=0.176750, batch loss=0.314624, epoch loss=3.656332 Batch=899, step=5700, lr=0.176500, batch loss=0.277090, epoch loss=3.933422 Batch=959, step=5760, lr=0.176250, batch loss=0.207104, epoch loss=4.140525 Batch=1019, step=5820, lr=0.176000, batch loss=0.342606, epoch loss=4.483132 Batch=1079, step=5880, lr=0.175750, batch loss=0.203058, epoch loss=4.686190 Batch=1139, step=5940, lr=0.175500, batch loss=0.241790, epoch loss=4.927980 Batch=1199, step=6000, lr=0.175250, batch loss=0.185343, epoch loss=5.113323 Epoch=4, step=6000, lr=0.175250, epoch loss=5.113323 Batch=59, step=6060, lr=0.175000, batch loss=0.224562, epoch loss=0.224562 Batch=119, step=6120, lr=0.174750, batch loss=0.185424, epoch loss=0.409986 Batch=179, step=6180, lr=0.174500, batch loss=0.201652, epoch loss=0.611638 Batch=239, step=6240, lr=0.174000, batch loss=0.300285, epoch loss=0.911923 Batch=299, step=6300, lr=0.173750, batch loss=0.207656, epoch loss=1.119579 Batch=359, step=6360, lr=0.173750, batch loss=0.265269, epoch loss=1.384848 Batch=419, step=6420, lr=0.173500, batch loss=0.260979, epoch loss=1.645827 Batch=479, step=6480, lr=0.173250, batch loss=0.236871, epoch loss=1.882697 Batch=539, step=6540, lr=0.173000, batch loss=0.186967, epoch loss=2.069664 Batch=599, step=6600, lr=0.172750, batch loss=0.226881, epoch loss=2.296546 Batch=659, step=6660, lr=0.172500, batch loss=0.316532, epoch loss=2.613077 Batch=719, step=6720, lr=0.172250, batch loss=0.314427, epoch loss=2.927504 Batch=779, step=6780, lr=0.171750, batch loss=0.334292, epoch loss=3.261796 Batch=839, step=6840, lr=0.171750, batch loss=0.304134, epoch loss=3.565929 Batch=899, step=6900, lr=0.171500, batch loss=0.266192, epoch loss=3.832121 Batch=959, step=6960, lr=0.171250, batch loss=0.210208, epoch loss=4.042329 Batch=1019, step=7020, lr=0.171000, batch loss=0.329259, epoch loss=4.371588 Batch=1079, step=7080, lr=0.170750, batch loss=0.181814, epoch loss=4.553402 Batch=1139, step=7140, lr=0.170500, batch loss=0.216218, epoch loss=4.769620 Batch=1199, step=7200, lr=0.170250, batch loss=0.181909, epoch loss=4.951529 Epoch=5, step=7200, lr=0.170250, epoch loss=4.951529 Batch=59, step=7260, lr=0.170000, batch loss=0.241415, epoch loss=0.241415 Batch=119, step=7320, lr=0.169750, batch loss=0.179260, epoch loss=0.420675 Batch=179, step=7380, lr=0.169500, batch loss=0.195376, epoch loss=0.616051 Batch=239, step=7440, lr=0.169250, batch loss=0.291965, epoch loss=0.908016 Batch=299, step=7500, lr=0.169000, batch loss=0.209161, epoch loss=1.117177 Batch=359, step=7560, lr=0.168750, batch loss=0.260430, epoch loss=1.377607 Batch=419, step=7620, lr=0.168500, batch loss=0.255503, epoch loss=1.633110 Batch=479, step=7680, lr=0.168250, batch loss=0.238190, epoch loss=1.871301 Batch=539, step=7740, lr=0.168000, batch loss=0.186919, epoch loss=2.058219 Batch=599, step=7800, lr=0.167750, batch loss=0.226596, epoch loss=2.284815 Batch=659, step=7860, lr=0.167500, batch loss=0.304950, epoch loss=2.589765 Batch=719, step=7920, lr=0.167250, batch loss=0.308399, epoch loss=2.898164 Batch=779, step=7980, lr=0.167000, batch loss=0.320978, epoch loss=3.219142 Batch=839, step=8040, lr=0.166750, batch loss=0.296931, epoch loss=3.516073 Batch=899, step=8100, lr=0.166500, batch loss=0.263288, epoch loss=3.779361 Batch=959, step=8160, lr=0.166250, batch loss=0.199588, epoch loss=3.978949 Batch=1019, step=8220, lr=0.166000, batch loss=0.322589, epoch loss=4.301538 Batch=1079, step=8280, lr=0.165750, batch loss=0.193960, epoch loss=4.495497 Batch=1139, step=8340, lr=0.165500, batch loss=0.222960, epoch loss=4.718457 Batch=1199, step=8400, lr=0.165250, batch loss=0.173704, epoch loss=4.892161 Epoch=6, step=8400, lr=0.165250, epoch loss=4.892161 Batch=59, step=8460, lr=0.165000, batch loss=0.208774, epoch loss=0.208774 Batch=119, step=8520, lr=0.164750, batch loss=0.174052, epoch loss=0.382826 Batch=179, step=8580, lr=0.164500, batch loss=0.188443, epoch loss=0.571268 Batch=239, step=8640, lr=0.164250, batch loss=0.278930, epoch loss=0.850198 Batch=299, step=8700, lr=0.164000, batch loss=0.192095, epoch loss=1.042293 Batch=359, step=8760, lr=0.163750, batch loss=0.247526, epoch loss=1.289819 Batch=419, step=8820, lr=0.163500, batch loss=0.244792, epoch loss=1.534611 Batch=479, step=8880, lr=0.163250, batch loss=0.229180, epoch loss=1.763791 Batch=539, step=8940, lr=0.163000, batch loss=0.177736, epoch loss=1.941527 Batch=599, step=9000, lr=0.162750, batch loss=0.218228, epoch loss=2.159755 Batch=659, step=9060, lr=0.162500, batch loss=0.294010, epoch loss=2.453765 Batch=719, step=9120, lr=0.162250, batch loss=0.296871, epoch loss=2.750637 Batch=779, step=9180, lr=0.162000, batch loss=0.314987, epoch loss=3.065623 Batch=839, step=9240, lr=0.161750, batch loss=0.281570, epoch loss=3.347193 Batch=899, step=9300, lr=0.161500, batch loss=0.252653, epoch loss=3.599846 Batch=959, step=9360, lr=0.161250, batch loss=0.197994, epoch loss=3.797840 Batch=1019, step=9420, lr=0.161000, batch loss=0.308165, epoch loss=4.106005 Batch=1079, step=9480, lr=0.160750, batch loss=0.194091, epoch loss=4.300096 Batch=1139, step=9540, lr=0.160500, batch loss=0.214062, epoch loss=4.514157 Batch=1199, step=9600, lr=0.160250, batch loss=0.167890, epoch loss=4.682048 Epoch=7, step=9600, lr=0.160250, epoch loss=4.682048 Batch=59, step=9660, lr=0.160000, batch loss=0.212815, epoch loss=0.212815 Batch=119, step=9720, lr=0.159750, batch loss=0.169369, epoch loss=0.382184 Batch=179, step=9780, lr=0.159500, batch loss=0.178968, epoch loss=0.561152 Batch=239, step=9840, lr=0.159250, batch loss=0.261295, epoch loss=0.822446 Batch=299, step=9900, lr=0.159000, batch loss=0.185635, epoch loss=1.008081 Batch=359, step=9960, lr=0.158750, batch loss=0.240044, epoch loss=1.248126 Batch=419, step=10020, lr=0.158500, batch loss=0.232928, epoch loss=1.481054 Batch=479, step=10080, lr=0.158250, batch loss=0.214059, epoch loss=1.695112 Batch=539, step=10140, lr=0.157750, batch loss=0.171215, epoch loss=1.866327 Batch=599, step=10200, lr=0.157750, batch loss=0.201723, epoch loss=2.068050 Batch=659, step=10260, lr=0.157500, batch loss=0.282213, epoch loss=2.350263 Batch=719, step=10320, lr=0.157250, batch loss=0.285845, epoch loss=2.636108 Batch=779, step=10380, lr=0.157000, batch loss=0.295199, epoch loss=2.931307 Batch=839, step=10440, lr=0.156500, batch loss=0.266688, epoch loss=3.197995 Batch=899, step=10500, lr=0.156250, batch loss=0.242641, epoch loss=3.440636 Batch=959, step=10560, lr=0.156250, batch loss=0.195675, epoch loss=3.636311 Batch=1019, step=10620, lr=0.156000, batch loss=0.281828, epoch loss=3.918139 Batch=1079, step=10680, lr=0.155750, batch loss=0.164557, epoch loss=4.082697 Batch=1139, step=10740, lr=0.155500, batch loss=0.188752, epoch loss=4.271448 Batch=1199, step=10800, lr=0.155250, batch loss=0.154042, epoch loss=4.425490 Epoch=8, step=10800, lr=0.155250, epoch loss=4.425490 Batch=59, step=10860, lr=0.155000, batch loss=0.178022, epoch loss=0.178022 Batch=119, step=10920, lr=0.154750, batch loss=0.149895, epoch loss=0.327917 Batch=179, step=10980, lr=0.154500, batch loss=0.166473, epoch loss=0.494390 Batch=239, step=11040, lr=0.154250, batch loss=0.242124, epoch loss=0.736514 Batch=299, step=11100, lr=0.154000, batch loss=0.171100, epoch loss=0.907614 Batch=359, step=11160, lr=0.153750, batch loss=0.220804, epoch loss=1.128418 Batch=419, step=11220, lr=0.153500, batch loss=0.220669, epoch loss=1.349087 Batch=479, step=11280, lr=0.153250, batch loss=0.210437, epoch loss=1.559524 Batch=539, step=11340, lr=0.153000, batch loss=0.164877, epoch loss=1.724401 Batch=599, step=11400, lr=0.152750, batch loss=0.177328, epoch loss=1.901730 Batch=659, step=11460, lr=0.152500, batch loss=0.265439, epoch loss=2.167168 Batch=719, step=11520, lr=0.152250, batch loss=0.260338, epoch loss=2.427507 Batch=779, step=11580, lr=0.152000, batch loss=0.273171, epoch loss=2.700678 Batch=839, step=11640, lr=0.151750, batch loss=0.256715, epoch loss=2.957393 Batch=899, step=11700, lr=0.151500, batch loss=0.212897, epoch loss=3.170289 Batch=959, step=11760, lr=0.151250, batch loss=0.164963, epoch loss=3.335252 Batch=1019, step=11820, lr=0.151000, batch loss=0.256710, epoch loss=3.591962 Batch=1079, step=11880, lr=0.150750, batch loss=0.131746, epoch loss=3.723708 Batch=1139, step=11940, lr=0.150500, batch loss=0.164294, epoch loss=3.888002 Batch=1199, step=12000, lr=0.150250, batch loss=0.139255, epoch loss=4.027256 Epoch=9, step=12000, lr=0.150250, epoch loss=4.027256 Batch=59, step=12060, lr=0.150000, batch loss=0.172132, epoch loss=0.172132 Batch=119, step=12120, lr=0.149750, batch loss=0.149930, epoch loss=0.322063 Batch=179, step=12180, lr=0.149500, batch loss=0.150055, epoch loss=0.472117 Batch=239, step=12240, lr=0.149250, batch loss=0.216504, epoch loss=0.688621 Batch=299, step=12300, lr=0.149000, batch loss=0.145838, epoch loss=0.834459 Batch=359, step=12360, lr=0.148750, batch loss=0.194951, epoch loss=1.029411 Batch=419, step=12420, lr=0.148500, batch loss=0.211414, epoch loss=1.240824 Batch=479, step=12480, lr=0.148250, batch loss=0.174549, epoch loss=1.415374 Batch=539, step=12540, lr=0.148000, batch loss=0.146096, epoch loss=1.561470 Batch=599, step=12600, lr=0.147750, batch loss=0.149600, epoch loss=1.711070 Batch=659, step=12660, lr=0.147500, batch loss=0.225135, epoch loss=1.936206 Batch=719, step=12720, lr=0.147250, batch loss=0.234984, epoch loss=2.171190 Batch=779, step=12780, lr=0.147000, batch loss=0.261013, epoch loss=2.432203 Batch=839, step=12840, lr=0.146750, batch loss=0.230709, epoch loss=2.662912 Batch=899, step=12900, lr=0.146500, batch loss=0.199425, epoch loss=2.862336 Batch=959, step=12960, lr=0.146250, batch loss=0.151427, epoch loss=3.013763 Batch=1019, step=13020, lr=0.146000, batch loss=0.261166, epoch loss=3.274929 Batch=1079, step=13080, lr=0.145750, batch loss=0.116121, epoch loss=3.391050 Batch=1139, step=13140, lr=0.145500, batch loss=0.155391, epoch loss=3.546441 Batch=1199, step=13200, lr=0.145250, batch loss=0.118612, epoch loss=3.665053 Epoch=10, step=13200, lr=0.145250, epoch loss=3.665053 Batch=59, step=13260, lr=0.145000, batch loss=0.141224, epoch loss=0.141224 Batch=119, step=13320, lr=0.144750, batch loss=0.121728, epoch loss=0.262952 Batch=179, step=13380, lr=0.144500, batch loss=0.127154, epoch loss=0.390106 Batch=239, step=13440, lr=0.144250, batch loss=0.192491, epoch loss=0.582597 Batch=299, step=13500, lr=0.144000, batch loss=0.133355, epoch loss=0.715952 Batch=359, step=13560, lr=0.143750, batch loss=0.160137, epoch loss=0.876089 Batch=419, step=13620, lr=0.143500, batch loss=0.158431, epoch loss=1.034520 Batch=479, step=13680, lr=0.143250, batch loss=0.148701, epoch loss=1.183221 Batch=539, step=13740, lr=0.143000, batch loss=0.118421, epoch loss=1.301642 Batch=599, step=13800, lr=0.142750, batch loss=0.120267, epoch loss=1.421909 Batch=659, step=13860, lr=0.142500, batch loss=0.175052, epoch loss=1.596961 Batch=719, step=13920, lr=0.142250, batch loss=0.175735, epoch loss=1.772696 Batch=779, step=13980, lr=0.142000, batch loss=0.194993, epoch loss=1.967689 Batch=839, step=14040, lr=0.141750, batch loss=0.184681, epoch loss=2.152371 Batch=899, step=14100, lr=0.141500, batch loss=0.158408, epoch loss=2.310778 Batch=959, step=14160, lr=0.141250, batch loss=0.131234, epoch loss=2.442013 Batch=1019, step=14220, lr=0.140750, batch loss=0.268671, epoch loss=2.710684 Batch=1079, step=14280, lr=0.140750, batch loss=0.084629, epoch loss=2.795313 Batch=1139, step=14340, lr=0.140500, batch loss=0.131575, epoch loss=2.926888 Batch=1199, step=14400, lr=0.140000, batch loss=0.091643, epoch loss=3.018531 Epoch=11, step=14400, lr=0.140000, epoch loss=3.018531 Batch=59, step=14460, lr=0.140000, batch loss=0.121165, epoch loss=0.121165 Batch=119, step=14520, lr=0.139750, batch loss=0.120964, epoch loss=0.242130 Batch=179, step=14580, lr=0.139500, batch loss=0.109738, epoch loss=0.351867 Batch=239, step=14640, lr=0.139250, batch loss=0.139962, epoch loss=0.491829 Batch=299, step=14700, lr=0.139000, batch loss=0.080042, epoch loss=0.571872 Batch=359, step=14760, lr=0.138750, batch loss=0.117214, epoch loss=0.689086 Batch=419, step=14820, lr=0.138500, batch loss=0.125523, epoch loss=0.814609 Batch=479, step=14880, lr=0.138250, batch loss=0.101788, epoch loss=0.916396 Batch=539, step=14940, lr=0.138000, batch loss=0.106272, epoch loss=1.022668 Batch=599, step=15000, lr=0.137500, batch loss=0.085360, epoch loss=1.108027 Batch=659, step=15060, lr=0.137250, batch loss=0.127550, epoch loss=1.235577 Batch=719, step=15120, lr=0.137250, batch loss=0.118420, epoch loss=1.353997 Batch=779, step=15180, lr=0.137000, batch loss=0.136744, epoch loss=1.490741 Batch=839, step=15240, lr=0.136750, batch loss=0.160985, epoch loss=1.651726 Batch=899, step=15300, lr=0.136500, batch loss=0.270665, epoch loss=1.922390 Batch=959, step=15360, lr=0.136250, batch loss=0.067794, epoch loss=1.990185 Batch=1019, step=15420, lr=0.136000, batch loss=0.157682, epoch loss=2.147867 Batch=1079, step=15480, lr=0.135750, batch loss=0.041049, epoch loss=2.188915 Batch=1139, step=15540, lr=0.135250, batch loss=0.090978, epoch loss=2.279893 Batch=1199, step=15600, lr=0.135250, batch loss=0.057310, epoch loss=2.337203 Epoch=12, step=15600, lr=0.135250, epoch loss=2.337203 Batch=59, step=15660, lr=0.134750, batch loss=0.077451, epoch loss=0.077451 Batch=119, step=15720, lr=0.134750, batch loss=0.103298, epoch loss=0.180749 Batch=179, step=15780, lr=0.134500, batch loss=0.087158, epoch loss=0.267907 Batch=239, step=15840, lr=0.134250, batch loss=0.091328, epoch loss=0.359235 Batch=299, step=15900, lr=0.134000, batch loss=0.040153, epoch loss=0.399388 Batch=359, step=15960, lr=0.133750, batch loss=0.075602, epoch loss=0.474990 Batch=419, step=16020, lr=0.133500, batch loss=0.078623, epoch loss=0.553613 Batch=479, step=16080, lr=0.133250, batch loss=0.067486, epoch loss=0.621099 Batch=539, step=16140, lr=0.133000, batch loss=0.053429, epoch loss=0.674528 Batch=599, step=16200, lr=0.132750, batch loss=0.097284, epoch loss=0.771811 Batch=659, step=16260, lr=0.132500, batch loss=0.074183, epoch loss=0.845994 Batch=719, step=16320, lr=0.132250, batch loss=0.073643, epoch loss=0.919637 Batch=779, step=16380, lr=0.131750, batch loss=0.087765, epoch loss=1.007402 Batch=839, step=16440, lr=0.131750, batch loss=0.096395, epoch loss=1.103797 Batch=899, step=16500, lr=0.131500, batch loss=0.155034, epoch loss=1.258831 Batch=959, step=16560, lr=0.131250, batch loss=0.046571, epoch loss=1.305402 Batch=1019, step=16620, lr=0.131000, batch loss=0.118812, epoch loss=1.424214 Batch=1079, step=16680, lr=0.130750, batch loss=0.025185, epoch loss=1.449398 Batch=1139, step=16740, lr=0.130500, batch loss=0.058431, epoch loss=1.507830 Batch=1199, step=16800, lr=0.130250, batch loss=0.028518, epoch loss=1.536347 Epoch=13, step=16800, lr=0.130250, epoch loss=1.536347 Batch=59, step=16860, lr=0.130000, batch loss=0.032746, epoch loss=0.032746 Batch=119, step=16920, lr=0.129750, batch loss=0.039686, epoch loss=0.072432 Batch=179, step=16980, lr=0.129500, batch loss=0.041815, epoch loss=0.114247 Batch=239, step=17040, lr=0.129000, batch loss=0.059726, epoch loss=0.173973 Batch=299, step=17100, lr=0.129000, batch loss=0.030755, epoch loss=0.204728 Batch=359, step=17160, lr=0.128750, batch loss=0.049415, epoch loss=0.254143 Batch=419, step=17220, lr=0.128500, batch loss=0.091442, epoch loss=0.345585 Batch=479, step=17280, lr=0.128250, batch loss=0.023471, epoch loss=0.369056 Batch=539, step=17340, lr=0.128000, batch loss=0.028009, epoch loss=0.397065 Batch=599, step=17400, lr=0.127750, batch loss=0.034062, epoch loss=0.431127 Batch=659, step=17460, lr=0.127500, batch loss=0.044908, epoch loss=0.476035 Batch=719, step=17520, lr=0.127250, batch loss=0.037373, epoch loss=0.513408 Batch=779, step=17580, lr=0.127000, batch loss=0.039898, epoch loss=0.553306 Batch=839, step=17640, lr=0.126750, batch loss=0.052826, epoch loss=0.606133 Batch=899, step=17700, lr=0.126500, batch loss=0.054187, epoch loss=0.660320 Batch=959, step=17760, lr=0.126250, batch loss=0.046341, epoch loss=0.706661 Batch=1019, step=17820, lr=0.126000, batch loss=0.109169, epoch loss=0.815830 Batch=1079, step=17880, lr=0.125750, batch loss=0.021684, epoch loss=0.837514 Batch=1139, step=17940, lr=0.125500, batch loss=0.043325, epoch loss=0.880840 Batch=1199, step=18000, lr=0.125250, batch loss=0.017004, epoch loss=0.897843 Epoch=14, step=18000, lr=0.125250, epoch loss=0.897843 Batch=59, step=18060, lr=0.125000, batch loss=0.012447, epoch loss=0.012447 Batch=119, step=18120, lr=0.124500, batch loss=0.021440, epoch loss=0.033887 Batch=179, step=18180, lr=0.124500, batch loss=0.029762, epoch loss=0.063649 Batch=239, step=18240, lr=0.124250, batch loss=0.032281, epoch loss=0.095930 Batch=299, step=18300, lr=0.124000, batch loss=0.011026, epoch loss=0.106956 Batch=359, step=18360, lr=0.123750, batch loss=0.027367, epoch loss=0.134323 Batch=419, step=18420, lr=0.123500, batch loss=0.049155, epoch loss=0.183478 Batch=479, step=18480, lr=0.123250, batch loss=0.012843, epoch loss=0.196321 Batch=539, step=18540, lr=0.122750, batch loss=0.020157, epoch loss=0.216478 Batch=599, step=18600, lr=0.122500, batch loss=0.028074, epoch loss=0.244552 Batch=659, step=18660, lr=0.122500, batch loss=0.026770, epoch loss=0.271322 Batch=719, step=18720, lr=0.122250, batch loss=0.026679, epoch loss=0.298001 Batch=779, step=18780, lr=0.122000, batch loss=0.073911, epoch loss=0.371911 Batch=839, step=18840, lr=0.121750, batch loss=0.139913, epoch loss=0.511824 Batch=899, step=18900, lr=0.121500, batch loss=0.037207, epoch loss=0.549031 Batch=959, step=18960, lr=0.121000, batch loss=0.013056, epoch loss=0.562087 Batch=1019, step=19020, lr=0.121000, batch loss=0.019974, epoch loss=0.582062 Batch=1079, step=19080, lr=0.120750, batch loss=0.010081, epoch loss=0.592143 Batch=1139, step=19140, lr=0.120250, batch loss=0.022588, epoch loss=0.614731 Batch=1199, step=19200, lr=0.120250, batch loss=0.010567, epoch loss=0.625299 Epoch=15, step=19200, lr=0.120250, epoch loss=0.625299 Batch=59, step=19260, lr=0.120000, batch loss=0.004597, epoch loss=0.004597 Batch=119, step=19320, lr=0.119750, batch loss=0.010581, epoch loss=0.015178 Batch=179, step=19380, lr=0.119500, batch loss=0.019710, epoch loss=0.034888 Batch=239, step=19440, lr=0.119250, batch loss=0.019860, epoch loss=0.054748 Batch=299, step=19500, lr=0.119000, batch loss=0.016136, epoch loss=0.070884 Batch=359, step=19560, lr=0.118750, batch loss=0.034800, epoch loss=0.105684 Batch=419, step=19620, lr=0.118500, batch loss=0.021080, epoch loss=0.126764 Batch=479, step=19680, lr=0.118000, batch loss=0.006396, epoch loss=0.133160 Batch=539, step=19740, lr=0.118000, batch loss=0.028316, epoch loss=0.161476 Batch=599, step=19800, lr=0.117750, batch loss=0.024856, epoch loss=0.186332 Batch=659, step=19860, lr=0.117500, batch loss=0.019862, epoch loss=0.206194 Batch=719, step=19920, lr=0.117250, batch loss=0.057265, epoch loss=0.263459 Batch=779, step=19980, lr=0.117000, batch loss=0.080319, epoch loss=0.343778 Batch=839, step=20040, lr=0.116750, batch loss=0.030286, epoch loss=0.374064 Batch=899, step=20100, lr=0.116500, batch loss=0.036910, epoch loss=0.410975 Batch=959, step=20160, lr=0.116250, batch loss=0.012136, epoch loss=0.423111 Batch=1019, step=20220, lr=0.116000, batch loss=0.017385, epoch loss=0.440496 Batch=1079, step=20280, lr=0.115750, batch loss=0.001168, epoch loss=0.441664 Batch=1139, step=20340, lr=0.115500, batch loss=0.015202, epoch loss=0.456866 Batch=1199, step=20400, lr=0.115250, batch loss=0.005766, epoch loss=0.462632 Epoch=16, step=20400, lr=0.115250, epoch loss=0.462632 Batch=59, step=20460, lr=0.115000, batch loss=0.003037, epoch loss=0.003037 Batch=119, step=20520, lr=0.114750, batch loss=0.011170, epoch loss=0.014207 Batch=179, step=20580, lr=0.114500, batch loss=0.025001, epoch loss=0.039207 Batch=239, step=20640, lr=0.114250, batch loss=0.016634, epoch loss=0.055841 Batch=299, step=20700, lr=0.114000, batch loss=0.003432, epoch loss=0.059273 Batch=359, step=20760, lr=0.113750, batch loss=0.014261, epoch loss=0.073534 Batch=419, step=20820, lr=0.113500, batch loss=0.014429, epoch loss=0.087963 Batch=479, step=20880, lr=0.113250, batch loss=0.003464, epoch loss=0.091427 Batch=539, step=20940, lr=0.113000, batch loss=0.015579, epoch loss=0.107006 Batch=599, step=21000, lr=0.112750, batch loss=0.017517, epoch loss=0.124523 Batch=659, step=21060, lr=0.112500, batch loss=0.013065, epoch loss=0.137588 Batch=719, step=21120, lr=0.112250, batch loss=0.040450, epoch loss=0.178038 Batch=779, step=21180, lr=0.112000, batch loss=0.068816, epoch loss=0.246855 Batch=839, step=21240, lr=0.111750, batch loss=0.024926, epoch loss=0.271781 Batch=899, step=21300, lr=0.111500, batch loss=0.030706, epoch loss=0.302487 Batch=959, step=21360, lr=0.111250, batch loss=0.010074, epoch loss=0.312561 Batch=1019, step=21420, lr=0.110750, batch loss=0.012982, epoch loss=0.325543 Batch=1079, step=21480, lr=0.110750, batch loss=0.001368, epoch loss=0.326911 Batch=1139, step=21540, lr=0.110500, batch loss=0.012329, epoch loss=0.339240 Batch=1199, step=21600, lr=0.110250, batch loss=0.004995, epoch loss=0.344235 Epoch=17, step=21600, lr=0.110250, epoch loss=0.344235 Batch=59, step=21660, lr=0.110000, batch loss=0.002270, epoch loss=0.002270 Batch=119, step=21720, lr=0.109750, batch loss=0.006846, epoch loss=0.009116 Batch=179, step=21780, lr=0.109500, batch loss=0.012644, epoch loss=0.021760 Batch=239, step=21840, lr=0.109250, batch loss=0.009546, epoch loss=0.031307 Batch=299, step=21900, lr=0.108750, batch loss=0.011167, epoch loss=0.042474 Batch=359, step=21960, lr=0.108500, batch loss=0.013928, epoch loss=0.056402 Batch=419, step=22020, lr=0.108500, batch loss=0.012325, epoch loss=0.068728 Batch=479, step=22080, lr=0.108250, batch loss=0.002991, epoch loss=0.071718 Batch=539, step=22140, lr=0.108000, batch loss=0.017073, epoch loss=0.088791 Batch=599, step=22200, lr=0.107500, batch loss=0.016438, epoch loss=0.105229 Batch=659, step=22260, lr=0.107250, batch loss=0.014824, epoch loss=0.120053 Batch=719, step=22320, lr=0.107250, batch loss=0.025541, epoch loss=0.145595 Batch=779, step=22380, lr=0.107000, batch loss=0.045008, epoch loss=0.190603 Batch=839, step=22440, lr=0.106500, batch loss=0.021664, epoch loss=0.212267 Batch=899, step=22500, lr=0.106500, batch loss=0.022400, epoch loss=0.234667 Batch=959, step=22560, lr=0.106250, batch loss=0.010994, epoch loss=0.245661 Batch=1019, step=22620, lr=0.105750, batch loss=0.009202, epoch loss=0.254863 Batch=1079, step=22680, lr=0.105750, batch loss=0.000000, epoch loss=0.254863 Batch=1139, step=22740, lr=0.105250, batch loss=0.009816, epoch loss=0.264679 Batch=1199, step=22800, lr=0.105250, batch loss=0.004681, epoch loss=0.269360 Epoch=18, step=22800, lr=0.105250, epoch loss=0.269360 Batch=59, step=22860, lr=0.105000, batch loss=0.001886, epoch loss=0.001886 Batch=119, step=22920, lr=0.104750, batch loss=0.005546, epoch loss=0.007431 Batch=179, step=22980, lr=0.104500, batch loss=0.010503, epoch loss=0.017934 Batch=239, step=23040, lr=0.104000, batch loss=0.010974, epoch loss=0.028908 Batch=299, step=23100, lr=0.103750, batch loss=0.008846, epoch loss=0.037754 Batch=359, step=23160, lr=0.103750, batch loss=0.012428, epoch loss=0.050183 Batch=419, step=23220, lr=0.103500, batch loss=0.010880, epoch loss=0.061063 Batch=479, step=23280, lr=0.103250, batch loss=0.002422, epoch loss=0.063485 Batch=539, step=23340, lr=0.103000, batch loss=0.016728, epoch loss=0.080213 Batch=599, step=23400, lr=0.102750, batch loss=0.013486, epoch loss=0.093699 Batch=659, step=23460, lr=0.102500, batch loss=0.011425, epoch loss=0.105124 Batch=719, step=23520, lr=0.102250, batch loss=0.011000, epoch loss=0.116124 Batch=779, step=23580, lr=0.102000, batch loss=0.018677, epoch loss=0.134802 Batch=839, step=23640, lr=0.101750, batch loss=0.027754, epoch loss=0.162555 Batch=899, step=23700, lr=0.101500, batch loss=0.021423, epoch loss=0.183979 Batch=959, step=23760, lr=0.101250, batch loss=0.010691, epoch loss=0.194670 Batch=1019, step=23820, lr=0.101000, batch loss=0.008224, epoch loss=0.202894 Batch=1079, step=23880, lr=0.100750, batch loss=0.000150, epoch loss=0.203044 Batch=1139, step=23940, lr=0.100500, batch loss=0.008896, epoch loss=0.211940 Batch=1199, step=24000, lr=0.100250, batch loss=0.004611, epoch loss=0.216551 Epoch=19, step=24000, lr=0.100250, epoch loss=0.216551 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │***********..................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-21 11:45.23: Job failed: Failed: Build failed