2025-05-21 10:43.10: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (495b9f40152fbfb28e9b4c99de09840940ccb650) (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 495b9f40 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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 10:43.10: 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 10:43.10: 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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 10:43.10: Waiting for resource in pool OCluster 2025-05-21 10:43.10: Waiting for worker… 2025-05-21 10:43.51: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 495b9f40 Tentative domain-based stdout capture (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-05-21 10:44.40 ---> saved as "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962" /: (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 10:44.40 ---> saved as "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f" /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 10:45.40 ---> saved as "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936" /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 10:45.44 ---> saved as "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 10:45.46 ---> saved as "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..f8fd9069a4 master -> origin/master 997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2 <><> 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 10:46.37 ---> saved as "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 10:46.39 ---> saved as "3447341e45978511d37496412d8cf0bd00152169666b38173df912c353af7377" /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 10:46.50 ---> saved as "c18c3293fb55e48178c49ea6a14bd19b50c0f5a53fb804023a5cb4485c5cce29" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 10:46.51 ---> saved as "032adceba002b196443012a023eeef306584e0583f4bdf0e11c942b3c2d8c555" /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 10:47.26 ---> saved as "82f4d363aec3a0953aa85de2f732fa1af9e4b084c77f4dc79755c8c94150aee7" /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 angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> 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 mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (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_base.v0.17.0 (cached) -> retrieved ppx_assert.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_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> installed num.1.5-1 -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (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_minidebug.2.2.0 (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) -> installed cmdliner.1.3.0 -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> 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 tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> 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 ppx_derivers.1.2.1 -> 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 printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed re.1.12.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed mdx.2.5.0 -> installed printbox-html.0.12 -> installed uucp.16.0.0 -> installed ctypes.0.23.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed base.v0.17.2 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.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_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> 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 10:51.39 ---> saved as "fb77f4f78dc40b3f216b5df1508870bc5dfe3b488d936fe6c9ccc14fd5261050" /src: (copy (src .) (dst /src)) 2025-05-21 10:51.42 ---> saved as "cb1bd67400b674fffb2edd71cdaf746eea9c91fa775fcb314215e6ed52fc9372" /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_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/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/.sandbox/01fb8b16bb9f5c0ec31056d0a5ff7128/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/01fb8b16bb9f5c0ec31056d0a5ff7128/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01fb8b16bb9f5c0ec31056d0a5ff7128/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/01fb8b16bb9f5c0ec31056d0a5ff7128/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01fb8b16bb9f5c0ec31056d0a5ff7128/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/01fb8b16bb9f5c0ec31056d0a5ff7128/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01fb8b16bb9f5c0ec31056d0a5ff7128/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/be260f565fec74fc6812723c6f559453/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/01fb8b16bb9f5c0ec31056d0a5ff7128/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/01fb8b16bb9f5c0ec31056d0a5ff7128/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/01fb8b16bb9f5c0ec31056d0a5ff7128/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01fb8b16bb9f5c0ec31056d0a5ff7128/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/01fb8b16bb9f5c0ec31056d0a5ff7128/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01fb8b16bb9f5c0ec31056d0a5ff7128/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/01fb8b16bb9f5c0ec31056d0a5ff7128/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01fb8b16bb9f5c0ec31056d0a5ff7128/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/01fb8b16bb9f5c0ec31056d0a5ff7128/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01fb8b16bb9f5c0ec31056d0a5ff7128/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/01fb8b16bb9f5c0ec31056d0a5ff7128/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/01fb8b16bb9f5c0ec31056d0a5ff7128/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/01fb8b16bb9f5c0ec31056d0a5ff7128/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=0.199250, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199000, batch loss=0.851101, epoch loss=35.626483 Batch=299, step=300, lr=0.198750, batch loss=1.443804, epoch loss=37.070287 Batch=359, step=360, lr=0.198500, batch loss=1.330477, epoch loss=38.400763 Batch=419, step=420, lr=0.198250, batch loss=0.617806, epoch loss=39.018569 Batch=479, step=480, lr=0.198000, batch loss=0.823855, epoch loss=39.842425 Batch=539, step=540, lr=0.197750, batch loss=0.687666, epoch loss=40.530091 Batch=599, step=600, lr=0.197750, batch loss=1.066768, epoch loss=41.596859 Batch=659, step=660, lr=0.197250, batch loss=0.483180, epoch loss=42.080038 Batch=719, step=720, lr=0.197250, batch loss=0.411419, epoch loss=42.491458 Batch=779, step=780, lr=0.197000, batch loss=0.469010, epoch loss=42.960468 Batch=839, step=840, lr=0.196750, batch loss=0.443341, epoch loss=43.403809 Batch=899, step=900, lr=0.196250, batch loss=0.383855, epoch loss=43.787664 Batch=959, step=960, lr=0.196250, batch loss=0.237547, epoch loss=44.025211 Batch=1019, step=1020, lr=0.196000, batch loss=0.440308, epoch loss=44.465519 Batch=1079, step=1080, lr=0.195500, batch loss=0.229874, epoch loss=44.695392 Batch=1139, step=1140, lr=0.195500, batch loss=0.314876, epoch loss=45.010268 Batch=1199, step=1200, lr=0.195000, batch loss=0.263561, epoch loss=45.273829 Epoch=0, step=1200, lr=0.195000, epoch loss=45.273829 Batch=59, step=1260, lr=0.195000, batch loss=0.262701, epoch loss=0.262701 Batch=119, step=1320, lr=0.194500, batch loss=0.210788, epoch loss=0.473488 Batch=179, step=1380, lr=0.194250, batch loss=0.244988, epoch loss=0.718476 Batch=239, step=1440, lr=0.194000, batch loss=0.352645, epoch loss=1.071121 Batch=299, step=1500, lr=0.194000, batch loss=0.238863, epoch loss=1.309984 Batch=359, step=1560, lr=0.193750, batch loss=0.312351, epoch loss=1.622335 Batch=419, step=1620, lr=0.193500, batch loss=0.308945, epoch loss=1.931280 Batch=479, step=1680, lr=0.193250, batch loss=0.273056, epoch loss=2.204336 Batch=539, step=1740, lr=0.193000, batch loss=0.212336, epoch loss=2.416672 Batch=599, step=1800, lr=0.192750, batch loss=0.252524, epoch loss=2.669195 Batch=659, step=1860, lr=0.192500, batch loss=0.367658, epoch loss=3.036853 Batch=719, step=1920, lr=0.192250, batch loss=0.364894, epoch loss=3.401747 Batch=779, step=1980, lr=0.192000, batch loss=0.381943, epoch loss=3.783690 Batch=839, step=2040, lr=0.191750, batch loss=0.342698, epoch loss=4.126388 Batch=899, step=2100, lr=0.191250, batch loss=0.309310, epoch loss=4.435698 Batch=959, step=2160, lr=0.191000, batch loss=0.234760, epoch loss=4.670458 Batch=1019, step=2220, lr=0.191000, batch loss=0.363544, epoch loss=5.034002 Batch=1079, step=2280, lr=0.190750, batch loss=0.232041, epoch loss=5.266044 Batch=1139, step=2340, lr=0.190500, batch loss=0.283434, epoch loss=5.549478 Batch=1199, step=2400, lr=0.190250, batch loss=0.218730, epoch loss=5.768208 Epoch=1, step=2400, lr=0.190250, epoch loss=5.768208 Batch=59, step=2460, lr=0.190000, batch loss=0.230703, epoch loss=0.230703 Batch=119, step=2520, lr=0.189750, batch loss=0.192132, epoch loss=0.422834 Batch=179, step=2580, lr=0.189250, batch loss=0.221915, epoch loss=0.644750 Batch=239, step=2640, lr=0.189250, batch loss=0.328417, epoch loss=0.973167 Batch=299, step=2700, lr=0.188750, batch loss=0.206009, epoch loss=1.179176 Batch=359, step=2760, lr=0.188750, batch loss=0.294666, epoch loss=1.473842 Batch=419, step=2820, lr=0.188250, batch loss=0.282968, epoch loss=1.756809 Batch=479, step=2880, lr=0.188250, batch loss=0.261985, epoch loss=2.018794 Batch=539, step=2940, lr=0.188000, batch loss=0.200844, epoch loss=2.219638 Batch=599, step=3000, lr=0.187750, batch loss=0.244671, epoch loss=2.464309 Batch=659, step=3060, lr=0.187500, batch loss=0.345376, epoch loss=2.809685 Batch=719, step=3120, lr=0.187250, batch loss=0.343164, epoch loss=3.152849 Batch=779, step=3180, lr=0.187000, batch loss=0.367272, epoch loss=3.520121 Batch=839, step=3240, lr=0.186750, batch loss=0.322622, epoch loss=3.842742 Batch=899, step=3300, lr=0.186500, batch loss=0.281506, epoch loss=4.124248 Batch=959, step=3360, lr=0.186250, batch loss=0.203588, epoch loss=4.327836 Batch=1019, step=3420, lr=0.186000, batch loss=0.319789, epoch loss=4.647624 Batch=1079, step=3480, lr=0.185750, batch loss=0.192049, epoch loss=4.839674 Batch=1139, step=3540, lr=0.185500, batch loss=0.237452, epoch loss=5.077126 Batch=1199, step=3600, lr=0.185250, batch loss=0.199150, epoch loss=5.276276 Epoch=2, step=3600, lr=0.185250, epoch loss=5.276276 Batch=59, step=3660, lr=0.185000, batch loss=0.221405, epoch loss=0.221405 Batch=119, step=3720, lr=0.184500, batch loss=0.185943, epoch loss=0.407348 Batch=179, step=3780, lr=0.184500, batch loss=0.211000, epoch loss=0.618348 Batch=239, step=3840, lr=0.184250, batch loss=0.317020, epoch loss=0.935367 Batch=299, step=3900, lr=0.183750, batch loss=0.202441, epoch loss=1.137809 Batch=359, step=3960, lr=0.183750, batch loss=0.283308, epoch loss=1.421117 Batch=419, step=4020, lr=0.183500, batch loss=0.271119, epoch loss=1.692235 Batch=479, step=4080, lr=0.183250, batch loss=0.249045, epoch loss=1.941280 Batch=539, step=4140, lr=0.182750, batch loss=0.194289, epoch loss=2.135570 Batch=599, step=4200, lr=0.182750, batch loss=0.233366, epoch loss=2.368935 Batch=659, step=4260, lr=0.182500, batch loss=0.334868, epoch loss=2.703803 Batch=719, step=4320, lr=0.182250, batch loss=0.342584, epoch loss=3.046387 Batch=779, step=4380, lr=0.182000, batch loss=0.350680, epoch loss=3.397067 Batch=839, step=4440, lr=0.181750, batch loss=0.318624, epoch loss=3.715691 Batch=899, step=4500, lr=0.181500, batch loss=0.291149, epoch loss=4.006840 Batch=959, step=4560, lr=0.181250, batch loss=0.244437, epoch loss=4.251277 Batch=1019, step=4620, lr=0.181000, batch loss=0.352354, epoch loss=4.603631 Batch=1079, step=4680, lr=0.180750, batch loss=0.212430, epoch loss=4.816061 Batch=1139, step=4740, lr=0.180500, batch loss=0.250967, epoch loss=5.067028 Batch=1199, step=4800, lr=0.180250, batch loss=0.191598, epoch loss=5.258626 Epoch=3, step=4800, lr=0.180250, epoch loss=5.258626 Batch=59, step=4860, lr=0.180000, batch loss=0.230118, epoch loss=0.230118 Batch=119, step=4920, lr=0.179750, batch loss=0.188701, epoch loss=0.418819 Batch=179, step=4980, lr=0.179500, batch loss=0.206352, epoch loss=0.625172 Batch=239, step=5040, lr=0.179000, batch loss=0.309660, epoch loss=0.934831 Batch=299, step=5100, lr=0.179000, batch loss=0.212011, epoch loss=1.146843 Batch=359, step=5160, lr=0.178750, batch loss=0.282607, epoch loss=1.429450 Batch=419, step=5220, lr=0.178500, batch loss=0.278100, epoch loss=1.707551 Batch=479, step=5280, lr=0.178250, batch loss=0.250454, epoch loss=1.958005 Batch=539, step=5340, lr=0.178000, batch loss=0.195296, epoch loss=2.153301 Batch=599, step=5400, lr=0.177750, batch loss=0.241227, epoch loss=2.394528 Batch=659, step=5460, lr=0.177500, batch loss=0.318913, epoch loss=2.713441 Batch=719, step=5520, lr=0.177250, batch loss=0.321975, epoch loss=3.035416 Batch=779, step=5580, lr=0.177000, batch loss=0.341090, epoch loss=3.376507 Batch=839, step=5640, lr=0.176750, batch loss=0.312041, epoch loss=3.688548 Batch=899, step=5700, lr=0.176500, batch loss=0.270924, epoch loss=3.959472 Batch=959, step=5760, lr=0.176000, batch loss=0.218629, epoch loss=4.178101 Batch=1019, step=5820, lr=0.176000, batch loss=0.334662, epoch loss=4.512763 Batch=1079, step=5880, lr=0.175750, batch loss=0.189495, epoch loss=4.702258 Batch=1139, step=5940, lr=0.175500, batch loss=0.224618, epoch loss=4.926876 Batch=1199, step=6000, lr=0.175250, batch loss=0.189208, epoch loss=5.116084 Epoch=4, step=6000, lr=0.175250, epoch loss=5.116084 Batch=59, step=6060, lr=0.175000, batch loss=0.237714, epoch loss=0.237714 Batch=119, step=6120, lr=0.174750, batch loss=0.189026, epoch loss=0.426740 Batch=179, step=6180, lr=0.174500, batch loss=0.203079, epoch loss=0.629818 Batch=239, step=6240, lr=0.174000, batch loss=0.302948, epoch loss=0.932766 Batch=299, step=6300, lr=0.174000, batch loss=0.204676, epoch loss=1.137442 Batch=359, step=6360, lr=0.173750, batch loss=0.268345, epoch loss=1.405787 Batch=419, step=6420, lr=0.173500, batch loss=0.265217, epoch loss=1.671004 Batch=479, step=6480, lr=0.173000, batch loss=0.244716, epoch loss=1.915721 Batch=539, step=6540, lr=0.173000, batch loss=0.191177, epoch loss=2.106898 Batch=599, step=6600, lr=0.172750, batch loss=0.229303, epoch loss=2.336201 Batch=659, step=6660, lr=0.172500, batch loss=0.316338, epoch loss=2.652539 Batch=719, step=6720, lr=0.172250, batch loss=0.317181, epoch loss=2.969719 Batch=779, step=6780, lr=0.172000, batch loss=0.333331, epoch loss=3.303051 Batch=839, step=6840, lr=0.171500, batch loss=0.306842, epoch loss=3.609892 Batch=899, step=6900, lr=0.171500, batch loss=0.270283, epoch loss=3.880175 Batch=959, step=6960, lr=0.171250, batch loss=0.206318, epoch loss=4.086493 Batch=1019, step=7020, lr=0.171000, batch loss=0.325779, epoch loss=4.412272 Batch=1079, step=7080, lr=0.170750, batch loss=0.175481, epoch loss=4.587754 Batch=1139, step=7140, lr=0.170500, batch loss=0.213429, epoch loss=4.801182 Batch=1199, step=7200, lr=0.170250, batch loss=0.187422, epoch loss=4.988605 Epoch=5, step=7200, lr=0.170250, epoch loss=4.988605 Batch=59, step=7260, lr=0.170000, batch loss=0.232899, epoch loss=0.232899 Batch=119, step=7320, lr=0.169750, batch loss=0.184458, epoch loss=0.417357 Batch=179, step=7380, lr=0.169250, batch loss=0.196899, epoch loss=0.614256 Batch=239, step=7440, lr=0.169250, batch loss=0.293776, epoch loss=0.908032 Batch=299, step=7500, lr=0.169000, batch loss=0.205631, epoch loss=1.113664 Batch=359, step=7560, lr=0.168750, batch loss=0.264005, epoch loss=1.377668 Batch=419, step=7620, lr=0.168500, batch loss=0.256749, epoch loss=1.634418 Batch=479, step=7680, lr=0.168250, batch loss=0.238602, epoch loss=1.873020 Batch=539, step=7740, lr=0.168000, batch loss=0.187510, epoch loss=2.060530 Batch=599, step=7800, lr=0.167750, batch loss=0.224065, epoch loss=2.284594 Batch=659, step=7860, lr=0.167500, batch loss=0.305898, epoch loss=2.590492 Batch=719, step=7920, lr=0.167250, batch loss=0.309339, epoch loss=2.899831 Batch=779, step=7980, lr=0.167000, batch loss=0.322101, epoch loss=3.221932 Batch=839, step=8040, lr=0.166750, batch loss=0.297321, epoch loss=3.519252 Batch=899, step=8100, lr=0.166500, batch loss=0.259615, epoch loss=3.778868 Batch=959, step=8160, lr=0.166250, batch loss=0.208252, epoch loss=3.987120 Batch=1019, step=8220, lr=0.165750, batch loss=0.316661, epoch loss=4.303780 Batch=1079, step=8280, lr=0.165750, batch loss=0.169958, epoch loss=4.473738 Batch=1139, step=8340, lr=0.165500, batch loss=0.207823, epoch loss=4.681561 Batch=1199, step=8400, lr=0.165250, batch loss=0.179616, epoch loss=4.861177 Epoch=6, step=8400, lr=0.165250, epoch loss=4.861177 Batch=59, step=8460, lr=0.165000, batch loss=0.228259, epoch loss=0.228259 Batch=119, step=8520, lr=0.164750, batch loss=0.176408, epoch loss=0.404668 Batch=179, step=8580, lr=0.164500, batch loss=0.188144, epoch loss=0.592811 Batch=239, step=8640, lr=0.164250, batch loss=0.278211, epoch loss=0.871022 Batch=299, step=8700, lr=0.164000, batch loss=0.190842, epoch loss=1.061865 Batch=359, step=8760, lr=0.163750, batch loss=0.250730, epoch loss=1.312594 Batch=419, step=8820, lr=0.163500, batch loss=0.244961, epoch loss=1.557555 Batch=479, step=8880, lr=0.163250, batch loss=0.230453, epoch loss=1.788008 Batch=539, step=8940, lr=0.162750, batch loss=0.177103, epoch loss=1.965110 Batch=599, step=9000, lr=0.162750, batch loss=0.219889, epoch loss=2.185000 Batch=659, step=9060, lr=0.162500, batch loss=0.293990, epoch loss=2.478990 Batch=719, step=9120, lr=0.162250, batch loss=0.297379, epoch loss=2.776369 Batch=779, step=9180, lr=0.162000, batch loss=0.315239, epoch loss=3.091608 Batch=839, step=9240, lr=0.161500, batch loss=0.282564, epoch loss=3.374172 Batch=899, step=9300, lr=0.161250, batch loss=0.252923, epoch loss=3.627095 Batch=959, step=9360, lr=0.161250, batch loss=0.187693, epoch loss=3.814788 Batch=1019, step=9420, lr=0.161000, batch loss=0.319498, epoch loss=4.134286 Batch=1079, step=9480, lr=0.160750, batch loss=0.196981, epoch loss=4.331267 Batch=1139, step=9540, lr=0.160500, batch loss=0.212955, epoch loss=4.544222 Batch=1199, step=9600, lr=0.160250, batch loss=0.168547, epoch loss=4.712769 Epoch=7, step=9600, lr=0.160250, epoch loss=4.712769 Batch=59, step=9660, lr=0.160000, batch loss=0.199256, epoch loss=0.199256 Batch=119, step=9720, lr=0.159750, batch loss=0.164921, epoch loss=0.364177 Batch=179, step=9780, lr=0.159500, batch loss=0.179582, epoch loss=0.543759 Batch=239, step=9840, lr=0.159250, batch loss=0.263728, epoch loss=0.807488 Batch=299, step=9900, lr=0.159000, batch loss=0.183239, epoch loss=0.990727 Batch=359, step=9960, lr=0.158750, batch loss=0.241182, epoch loss=1.231909 Batch=419, step=10020, lr=0.158500, batch loss=0.234282, epoch loss=1.466191 Batch=479, step=10080, lr=0.158250, batch loss=0.214420, epoch loss=1.680611 Batch=539, step=10140, lr=0.158000, batch loss=0.172157, epoch loss=1.852769 Batch=599, step=10200, lr=0.157750, batch loss=0.202919, epoch loss=2.055687 Batch=659, step=10260, lr=0.157500, batch loss=0.282647, epoch loss=2.338334 Batch=719, step=10320, lr=0.157250, batch loss=0.284988, epoch loss=2.623323 Batch=779, step=10380, lr=0.157000, batch loss=0.296511, epoch loss=2.919833 Batch=839, step=10440, lr=0.156750, batch loss=0.274107, epoch loss=3.193941 Batch=899, step=10500, lr=0.156500, batch loss=0.237319, epoch loss=3.431259 Batch=959, step=10560, lr=0.156250, batch loss=0.181380, epoch loss=3.612639 Batch=1019, step=10620, lr=0.156000, batch loss=0.297390, epoch loss=3.910029 Batch=1079, step=10680, lr=0.155750, batch loss=0.178752, epoch loss=4.088781 Batch=1139, step=10740, lr=0.155500, batch loss=0.198810, epoch loss=4.287591 Batch=1199, step=10800, lr=0.155250, batch loss=0.155650, epoch loss=4.443241 Epoch=8, step=10800, lr=0.155250, epoch loss=4.443241 Batch=59, step=10860, lr=0.155000, batch loss=0.179923, epoch loss=0.179923 Batch=119, step=10920, lr=0.154750, batch loss=0.152452, epoch loss=0.332374 Batch=179, step=10980, lr=0.154500, batch loss=0.168163, epoch loss=0.500538 Batch=239, step=11040, lr=0.154250, batch loss=0.246565, epoch loss=0.747103 Batch=299, step=11100, lr=0.154000, batch loss=0.166069, epoch loss=0.913171 Batch=359, step=11160, lr=0.153750, batch loss=0.225173, epoch loss=1.138344 Batch=419, step=11220, lr=0.153250, batch loss=0.227793, epoch loss=1.366137 Batch=479, step=11280, lr=0.153250, batch loss=0.206241, epoch loss=1.572378 Batch=539, step=11340, lr=0.153000, batch loss=0.159009, epoch loss=1.731388 Batch=599, step=11400, lr=0.152750, batch loss=0.187765, epoch loss=1.919153 Batch=659, step=11460, lr=0.152500, batch loss=0.263937, epoch loss=2.183090 Batch=719, step=11520, lr=0.152250, batch loss=0.256804, epoch loss=2.439894 Batch=779, step=11580, lr=0.152000, batch loss=0.271092, epoch loss=2.710986 Batch=839, step=11640, lr=0.151750, batch loss=0.251474, epoch loss=2.962459 Batch=899, step=11700, lr=0.151500, batch loss=0.218820, epoch loss=3.181280 Batch=959, step=11760, lr=0.151250, batch loss=0.161456, epoch loss=3.342736 Batch=1019, step=11820, lr=0.151000, batch loss=0.261665, epoch loss=3.604401 Batch=1079, step=11880, lr=0.150750, batch loss=0.158369, epoch loss=3.762770 Batch=1139, step=11940, lr=0.150500, batch loss=0.191350, epoch loss=3.954120 Batch=1199, step=12000, lr=0.150250, batch loss=0.140497, epoch loss=4.094617 Epoch=9, step=12000, lr=0.150250, epoch loss=4.094617 Batch=59, step=12060, lr=0.150000, batch loss=0.163059, epoch loss=0.163059 Batch=119, step=12120, lr=0.149750, batch loss=0.137708, epoch loss=0.300767 Batch=179, step=12180, lr=0.149500, batch loss=0.152008, epoch loss=0.452776 Batch=239, step=12240, lr=0.149250, batch loss=0.220679, epoch loss=0.673454 Batch=299, step=12300, lr=0.149000, batch loss=0.144874, epoch loss=0.818328 Batch=359, step=12360, lr=0.148750, batch loss=0.197723, epoch loss=1.016051 Batch=419, step=12420, lr=0.148500, batch loss=0.208050, epoch loss=1.224101 Batch=479, step=12480, lr=0.148250, batch loss=0.181121, epoch loss=1.405222 Batch=539, step=12540, lr=0.148000, batch loss=0.144151, epoch loss=1.549373 Batch=599, step=12600, lr=0.147750, batch loss=0.151661, epoch loss=1.701034 Batch=659, step=12660, lr=0.147500, batch loss=0.228438, epoch loss=1.929472 Batch=719, step=12720, lr=0.147250, batch loss=0.236365, epoch loss=2.165837 Batch=779, step=12780, lr=0.147000, batch loss=0.257671, epoch loss=2.423508 Batch=839, step=12840, lr=0.146750, batch loss=0.226498, epoch loss=2.650006 Batch=899, step=12900, lr=0.146500, batch loss=0.189894, epoch loss=2.839900 Batch=959, step=12960, lr=0.146250, batch loss=0.161045, epoch loss=3.000945 Batch=1019, step=13020, lr=0.146000, batch loss=0.257292, epoch loss=3.258237 Batch=1079, step=13080, lr=0.145750, batch loss=0.122996, epoch loss=3.381232 Batch=1139, step=13140, lr=0.145500, batch loss=0.159256, epoch loss=3.540489 Batch=1199, step=13200, lr=0.145250, batch loss=0.120364, epoch loss=3.660852 Epoch=10, step=13200, lr=0.145250, epoch loss=3.660852 Batch=59, step=13260, lr=0.145000, batch loss=0.145881, epoch loss=0.145881 Batch=119, step=13320, lr=0.144750, batch loss=0.121505, epoch loss=0.267386 Batch=179, step=13380, lr=0.144500, batch loss=0.128904, epoch loss=0.396290 Batch=239, step=13440, lr=0.144250, batch loss=0.189479, epoch loss=0.585769 Batch=299, step=13500, lr=0.144000, batch loss=0.115964, epoch loss=0.701733 Batch=359, step=13560, lr=0.143750, batch loss=0.163123, epoch loss=0.864856 Batch=419, step=13620, lr=0.143500, batch loss=0.161455, epoch loss=1.026311 Batch=479, step=13680, lr=0.143250, batch loss=0.150409, epoch loss=1.176720 Batch=539, step=13740, lr=0.143000, batch loss=0.119135, epoch loss=1.295855 Batch=599, step=13800, lr=0.142750, batch loss=0.123696, epoch loss=1.419551 Batch=659, step=13860, lr=0.142500, batch loss=0.182184, epoch loss=1.601735 Batch=719, step=13920, lr=0.142000, batch loss=0.184635, epoch loss=1.786369 Batch=779, step=13980, lr=0.142000, batch loss=0.196170, epoch loss=1.982539 Batch=839, step=14040, lr=0.141750, batch loss=0.194763, epoch loss=2.177302 Batch=899, step=14100, lr=0.141500, batch loss=0.198278, epoch loss=2.375581 Batch=959, step=14160, lr=0.141250, batch loss=0.118781, epoch loss=2.494362 Batch=1019, step=14220, lr=0.141000, batch loss=0.208978, epoch loss=2.703339 Batch=1079, step=14280, lr=0.140750, batch loss=0.079004, epoch loss=2.782344 Batch=1139, step=14340, lr=0.140500, batch loss=0.124705, epoch loss=2.907049 Batch=1199, step=14400, lr=0.140250, batch loss=0.087986, epoch loss=2.995035 Epoch=11, step=14400, lr=0.140250, epoch loss=2.995035 Batch=59, step=14460, lr=0.140000, batch loss=0.102880, epoch loss=0.102880 Batch=119, step=14520, lr=0.139750, batch loss=0.090087, epoch loss=0.192968 Batch=179, step=14580, lr=0.139500, batch loss=0.097242, epoch loss=0.290210 Batch=239, step=14640, lr=0.139250, batch loss=0.143998, epoch loss=0.434208 Batch=299, step=14700, lr=0.139000, batch loss=0.079080, epoch loss=0.513288 Batch=359, step=14760, lr=0.138750, batch loss=0.124606, epoch loss=0.637894 Batch=419, step=14820, lr=0.138500, batch loss=0.145483, epoch loss=0.783377 Batch=479, step=14880, lr=0.138250, batch loss=0.099065, epoch loss=0.882442 Batch=539, step=14940, lr=0.138000, batch loss=0.092124, epoch loss=0.974566 Batch=599, step=15000, lr=0.137750, batch loss=0.091085, epoch loss=1.065651 Batch=659, step=15060, lr=0.137500, batch loss=0.173292, epoch loss=1.238943 Batch=719, step=15120, lr=0.137250, batch loss=0.136077, epoch loss=1.375020 Batch=779, step=15180, lr=0.137000, batch loss=0.187152, epoch loss=1.562171 Batch=839, step=15240, lr=0.136750, batch loss=0.179893, epoch loss=1.742064 Batch=899, step=15300, lr=0.136500, batch loss=0.306480, epoch loss=2.048544 Batch=959, step=15360, lr=0.136250, batch loss=0.060146, epoch loss=2.108690 Batch=1019, step=15420, lr=0.136000, batch loss=0.146331, epoch loss=2.255021 Batch=1079, step=15480, lr=0.135750, batch loss=0.038146, epoch loss=2.293167 Batch=1139, step=15540, lr=0.135500, batch loss=0.086318, epoch loss=2.379485 Batch=1199, step=15600, lr=0.135250, batch loss=0.057578, epoch loss=2.437062 Epoch=12, step=15600, lr=0.135250, epoch loss=2.437062 Batch=59, step=15660, lr=0.135000, batch loss=0.088758, epoch loss=0.088758 Batch=119, step=15720, lr=0.134750, batch loss=0.135824, epoch loss=0.224582 Batch=179, step=15780, lr=0.134500, batch loss=0.102287, epoch loss=0.326869 Batch=239, step=15840, lr=0.134250, batch loss=0.104190, epoch loss=0.431059 Batch=299, step=15900, lr=0.134000, batch loss=0.047944, epoch loss=0.479003 Batch=359, step=15960, lr=0.133750, batch loss=0.084530, epoch loss=0.563532 Batch=419, step=16020, lr=0.133500, batch loss=0.082838, epoch loss=0.646370 Batch=479, step=16080, lr=0.133250, batch loss=0.065661, epoch loss=0.712032 Batch=539, step=16140, lr=0.133000, batch loss=0.056897, epoch loss=0.768928 Batch=599, step=16200, lr=0.132500, batch loss=0.110234, epoch loss=0.879162 Batch=659, step=16260, lr=0.132500, batch loss=0.083708, epoch loss=0.962870 Batch=719, step=16320, lr=0.132250, batch loss=0.148931, epoch loss=1.111802 Batch=779, step=16380, lr=0.132000, batch loss=0.394929, epoch loss=1.506731 Batch=839, step=16440, lr=0.131500, batch loss=0.108774, epoch loss=1.615505 Batch=899, step=16500, lr=0.131500, batch loss=0.093283, epoch loss=1.708788 Batch=959, step=16560, lr=0.131250, batch loss=0.036260, epoch loss=1.745048 Batch=1019, step=16620, lr=0.131000, batch loss=0.064635, epoch loss=1.809683 Batch=1079, step=16680, lr=0.130750, batch loss=0.056149, epoch loss=1.865832 Batch=1139, step=16740, lr=0.130500, batch loss=0.080501, epoch loss=1.946333 Batch=1199, step=16800, lr=0.130250, batch loss=0.039629, epoch loss=1.985962 Epoch=13, step=16800, lr=0.130250, epoch loss=1.985962 Batch=59, step=16860, lr=0.130000, batch loss=0.039052, epoch loss=0.039052 Batch=119, step=16920, lr=0.129750, batch loss=0.041884, epoch loss=0.080936 Batch=179, step=16980, lr=0.129500, batch loss=0.048459, epoch loss=0.129395 Batch=239, step=17040, lr=0.129250, batch loss=0.064643, epoch loss=0.194038 Batch=299, step=17100, lr=0.129000, batch loss=0.021029, epoch loss=0.215067 Batch=359, step=17160, lr=0.128750, batch loss=0.048115, epoch loss=0.263182 Batch=419, step=17220, lr=0.128500, batch loss=0.051176, epoch loss=0.314358 Batch=479, step=17280, lr=0.128000, batch loss=0.039662, epoch loss=0.354020 Batch=539, step=17340, lr=0.128000, batch loss=0.047336, epoch loss=0.401356 Batch=599, step=17400, lr=0.127750, batch loss=0.088613, epoch loss=0.489969 Batch=659, step=17460, lr=0.127500, batch loss=0.054420, epoch loss=0.544388 Batch=719, step=17520, lr=0.127250, batch loss=0.076761, epoch loss=0.621150 Batch=779, step=17580, lr=0.127000, batch loss=0.127811, epoch loss=0.748961 Batch=839, step=17640, lr=0.126750, batch loss=0.073530, epoch loss=0.822491 Batch=899, step=17700, lr=0.126250, batch loss=0.085119, epoch loss=0.907611 Batch=959, step=17760, lr=0.126250, batch loss=0.038362, epoch loss=0.945972 Batch=1019, step=17820, lr=0.126000, batch loss=0.070061, epoch loss=1.016033 Batch=1079, step=17880, lr=0.125500, batch loss=0.018125, epoch loss=1.034158 Batch=1139, step=17940, lr=0.125500, batch loss=0.038576, epoch loss=1.072735 Batch=1199, step=18000, lr=0.125250, batch loss=0.018564, epoch loss=1.091298 Epoch=14, step=18000, lr=0.125250, epoch loss=1.091298 Batch=59, step=18060, lr=0.125000, batch loss=0.015310, epoch loss=0.015310 Batch=119, step=18120, lr=0.124500, batch loss=0.021604, epoch loss=0.036914 Batch=179, step=18180, lr=0.124500, batch loss=0.030907, epoch loss=0.067820 Batch=239, step=18240, lr=0.124250, batch loss=0.036224, epoch loss=0.104044 Batch=299, step=18300, lr=0.124000, batch loss=0.009639, epoch loss=0.113683 Batch=359, step=18360, lr=0.123750, batch loss=0.026590, epoch loss=0.140273 Batch=419, step=18420, lr=0.123500, batch loss=0.035298, epoch loss=0.175572 Batch=479, step=18480, lr=0.123250, batch loss=0.024312, epoch loss=0.199883 Batch=539, step=18540, lr=0.123000, batch loss=0.046835, epoch loss=0.246719 Batch=599, step=18600, lr=0.122750, batch loss=0.026696, epoch loss=0.273414 Batch=659, step=18660, lr=0.122500, batch loss=0.034485, epoch loss=0.307900 Batch=719, step=18720, lr=0.122250, batch loss=0.046779, epoch loss=0.354679 Batch=779, step=18780, lr=0.122000, batch loss=0.113076, epoch loss=0.467755 Batch=839, step=18840, lr=0.121750, batch loss=0.057822, epoch loss=0.525577 Batch=899, step=18900, lr=0.121500, batch loss=0.054572, epoch loss=0.580149 Batch=959, step=18960, lr=0.121250, batch loss=0.015349, epoch loss=0.595498 Batch=1019, step=19020, lr=0.121000, batch loss=0.022610, epoch loss=0.618109 Batch=1079, step=19080, lr=0.120750, batch loss=0.009568, epoch loss=0.627676 Batch=1139, step=19140, lr=0.120500, batch loss=0.024463, epoch loss=0.652139 Batch=1199, step=19200, lr=0.120250, batch loss=0.009845, epoch loss=0.661984 Epoch=15, step=19200, lr=0.120250, epoch loss=0.661984 Batch=59, step=19260, lr=0.120000, batch loss=0.005057, epoch loss=0.005057 Batch=119, step=19320, lr=0.119750, batch loss=0.018112, epoch loss=0.023170 Batch=179, step=19380, lr=0.119500, batch loss=0.044447, epoch loss=0.067617 Batch=239, step=19440, lr=0.119250, batch loss=0.021967, epoch loss=0.089584 Batch=299, step=19500, lr=0.119000, batch loss=0.006839, epoch loss=0.096423 Batch=359, step=19560, lr=0.118750, batch loss=0.022467, epoch loss=0.118890 Batch=419, step=19620, lr=0.118500, batch loss=0.020987, epoch loss=0.139877 Batch=479, step=19680, lr=0.118250, batch loss=0.008016, epoch loss=0.147893 Batch=539, step=19740, lr=0.118000, batch loss=0.027052, epoch loss=0.174944 Batch=599, step=19800, lr=0.117750, batch loss=0.027504, epoch loss=0.202449 Batch=659, step=19860, lr=0.117250, batch loss=0.015678, epoch loss=0.218126 Batch=719, step=19920, lr=0.117250, batch loss=0.020172, epoch loss=0.238298 Batch=779, step=19980, lr=0.117000, batch loss=0.036035, epoch loss=0.274334 Batch=839, step=20040, lr=0.116750, batch loss=0.033641, epoch loss=0.307974 Batch=899, step=20100, lr=0.116500, batch loss=0.029019, epoch loss=0.336994 Batch=959, step=20160, lr=0.116250, batch loss=0.020037, epoch loss=0.357031 Batch=1019, step=20220, lr=0.116000, batch loss=0.028142, epoch loss=0.385173 Batch=1079, step=20280, lr=0.115750, batch loss=0.002684, epoch loss=0.387856 Batch=1139, step=20340, lr=0.115500, batch loss=0.014738, epoch loss=0.402594 Batch=1199, step=20400, lr=0.115250, batch loss=0.008580, epoch loss=0.411174 Epoch=16, step=20400, lr=0.115250, epoch loss=0.411174 Batch=59, step=20460, lr=0.115000, batch loss=0.004638, epoch loss=0.004638 Batch=119, step=20520, lr=0.114750, batch loss=0.010645, epoch loss=0.015282 Batch=179, step=20580, lr=0.114500, batch loss=0.026458, epoch loss=0.041740 Batch=239, step=20640, lr=0.114250, batch loss=0.015040, epoch loss=0.056780 Batch=299, step=20700, lr=0.113750, batch loss=0.010386, epoch loss=0.067166 Batch=359, step=20760, lr=0.113750, batch loss=0.018527, epoch loss=0.085693 Batch=419, step=20820, lr=0.113500, batch loss=0.015778, epoch loss=0.101471 Batch=479, step=20880, lr=0.113250, batch loss=0.004412, epoch loss=0.105883 Batch=539, step=20940, lr=0.113000, batch loss=0.015663, epoch loss=0.121546 Batch=599, step=21000, lr=0.112750, batch loss=0.020263, epoch loss=0.141808 Batch=659, step=21060, lr=0.112500, batch loss=0.015503, epoch loss=0.157311 Batch=719, step=21120, lr=0.112250, batch loss=0.043042, epoch loss=0.200354 Batch=779, step=21180, lr=0.112000, batch loss=0.075543, epoch loss=0.275897 Batch=839, step=21240, lr=0.111750, batch loss=0.027476, epoch loss=0.303373 Batch=899, step=21300, lr=0.111500, batch loss=0.034555, epoch loss=0.337928 Batch=959, step=21360, lr=0.111250, batch loss=0.010094, epoch loss=0.348022 Batch=1019, step=21420, lr=0.111000, batch loss=0.011046, epoch loss=0.359067 Batch=1079, step=21480, lr=0.110750, batch loss=0.001231, epoch loss=0.360298 Batch=1139, step=21540, lr=0.110500, batch loss=0.013291, epoch loss=0.373589 Batch=1199, step=21600, lr=0.110250, batch loss=0.005342, epoch loss=0.378931 Epoch=17, step=21600, lr=0.110250, epoch loss=0.378931 Batch=59, step=21660, lr=0.110000, batch loss=0.002249, epoch loss=0.002249 Batch=119, step=21720, lr=0.109750, batch loss=0.006999, epoch loss=0.009248 Batch=179, step=21780, lr=0.109500, batch loss=0.013484, epoch loss=0.022732 Batch=239, step=21840, lr=0.109250, batch loss=0.017375, epoch loss=0.040107 Batch=299, step=21900, lr=0.109000, batch loss=0.005353, epoch loss=0.045460 Batch=359, step=21960, lr=0.108750, batch loss=0.011316, epoch loss=0.056776 Batch=419, step=22020, lr=0.108250, batch loss=0.011827, epoch loss=0.068603 Batch=479, step=22080, lr=0.108250, batch loss=0.003080, epoch loss=0.071683 Batch=539, step=22140, lr=0.108000, batch loss=0.018599, epoch loss=0.090282 Batch=599, step=22200, lr=0.107750, batch loss=0.016803, epoch loss=0.107085 Batch=659, step=22260, lr=0.107500, batch loss=0.015052, epoch loss=0.122138 Batch=719, step=22320, lr=0.107250, batch loss=0.030315, epoch loss=0.152452 Batch=779, step=22380, lr=0.107000, batch loss=0.036415, epoch loss=0.188868 Batch=839, step=22440, lr=0.106750, batch loss=0.025749, epoch loss=0.214617 Batch=899, step=22500, lr=0.106500, batch loss=0.028589, epoch loss=0.243206 Batch=959, step=22560, lr=0.106250, batch loss=0.008806, epoch loss=0.252012 Batch=1019, step=22620, lr=0.106000, batch loss=0.010233, epoch loss=0.262246 Batch=1079, step=22680, lr=0.105750, batch loss=0.000599, epoch loss=0.262845 Batch=1139, step=22740, lr=0.105500, batch loss=0.010352, epoch loss=0.273197 Batch=1199, step=22800, lr=0.105250, batch loss=0.004550, epoch loss=0.277747 Epoch=18, step=22800, lr=0.105250, epoch loss=0.277747 Batch=59, step=22860, lr=0.105000, batch loss=0.001426, epoch loss=0.001426 Batch=119, step=22920, lr=0.104750, batch loss=0.005493, epoch loss=0.006919 Batch=179, step=22980, lr=0.104500, batch loss=0.011851, epoch loss=0.018771 Batch=239, step=23040, lr=0.104250, batch loss=0.009828, epoch loss=0.028599 Batch=299, step=23100, lr=0.104000, batch loss=0.012203, epoch loss=0.040802 Batch=359, step=23160, lr=0.103750, batch loss=0.011474, epoch loss=0.052276 Batch=419, step=23220, lr=0.103500, batch loss=0.010633, epoch loss=0.062909 Batch=479, step=23280, lr=0.103000, batch loss=0.002532, epoch loss=0.065442 Batch=539, step=23340, lr=0.103000, batch loss=0.016663, epoch loss=0.082104 Batch=599, step=23400, lr=0.102750, batch loss=0.015132, epoch loss=0.097237 Batch=659, step=23460, lr=0.102500, batch loss=0.014328, epoch loss=0.111565 Batch=719, step=23520, lr=0.102250, batch loss=0.018825, epoch loss=0.130390 Batch=779, step=23580, lr=0.102000, batch loss=0.020235, epoch loss=0.150625 Batch=839, step=23640, lr=0.101750, batch loss=0.026846, epoch loss=0.177471 Batch=899, step=23700, lr=0.101500, batch loss=0.022936, epoch loss=0.200406 Batch=959, step=23760, lr=0.101250, batch loss=0.008099, epoch loss=0.208506 Batch=1019, step=23820, lr=0.101000, batch loss=0.008773, epoch loss=0.217279 Batch=1079, step=23880, lr=0.100750, batch loss=0.000988, epoch loss=0.218266 Batch=1139, step=23940, lr=0.100500, batch loss=0.009072, epoch loss=0.227338 Batch=1199, step=24000, lr=0.100250, batch loss=0.004622, epoch loss=0.231960 Epoch=19, step=24000, lr=0.100250, epoch loss=0.231960 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 10:52.57: Job failed: Failed: Build failed