2025-05-18 21:01.37: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (3bbef1587191f540e2f0d222795d9686d7f042fc) (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 3bbef158 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 2025-05-18 21:01.37: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-18 21:01.37: 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")) ) 2025-05-18 21:01.37: Waiting for resource in pool OCluster 2025-05-18 21:01.37: Waiting for worker… 2025-05-18 21:02.09: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 3bbef158 Metal logging: failsafe for "internal compiler error" (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-05-18 21:03.07 ---> 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")) 2025-05-18 21:03.08 ---> 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 2025-05-18 21:04.07 ---> 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 2025-05-18 21:04.07 ---> saved as "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-18 21:04.08 ---> 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..7698a43853 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) 2025-05-18 21:04.57 ---> saved as "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-18 21:04.57 ---> 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) 2025-05-18 21:05.07 ---> saved as "c18c3293fb55e48178c49ea6a14bd19b50c0f5a53fb804023a5cb4485c5cce29" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-18 21:05.07 ---> 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 - v3.21.3-480-gb04256b6954 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-494-g83b79ab6aa1 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v20250108-8492-g593fac9e1cd [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v20250108-8518-g101506e884e [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v20250108-8512-gaa2fd381a74 [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58227 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 2025-05-18 21:05.42 ---> 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 angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved backoff.0.1.1 (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_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_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.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) -> installed num.1.5-1 -> 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) -> installed seq.base -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (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 tyxml.4.6.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> 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 fmt.0.10.0 -> installed uutf.1.0.4 -> 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 printbox.0.12 -> 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 result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> 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 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 fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> 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_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> 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) 2025-05-18 21:09.32 ---> saved as "fb77f4f78dc40b3f216b5df1508870bc5dfe3b488d936fe6c9ccc14fd5261050" /src: (copy (src .) (dst /src)) 2025-05-18 21:09.32 ---> saved as "e80b8a93e0a7b8e7b02c73a0eaa7aa993440e938dc47e89674011e2c7b96c9fb" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (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/854b70da0dae804d5a74183b657a81e3/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/854b70da0dae804d5a74183b657a81e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/854b70da0dae804d5a74183b657a81e3/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0162460aa9c7f1af0be9e7b27f63fd7e/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/854b70da0dae804d5a74183b657a81e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/854b70da0dae804d5a74183b657a81e3/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/854b70da0dae804d5a74183b657a81e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/854b70da0dae804d5a74183b657a81e3/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/854b70da0dae804d5a74183b657a81e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 19-29, characters 0-281: 19 | (rule 20 | (alias runtest) 21 | (target 22 | (dir log_files)) 23 | (action 24 | (run 25 | %{dep:micrograd_demo_logging.exe} 26 | "--ocannl_debug_backend=text" 27 | "--ocannl_log_file_stem=micrograd_demo_logging" 28 | "--ocannl_log_main_domain_to_stdout=false" 29 | "--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 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_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/854b70da0dae804d5a74183b657a81e3/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/854b70da0dae804d5a74183b657a81e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/854b70da0dae804d5a74183b657a81e3/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/854b70da0dae804d5a74183b657a81e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/854b70da0dae804d5a74183b657a81e3/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/854b70da0dae804d5a74183b657a81e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/854b70da0dae804d5a74183b657a81e3/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/854b70da0dae804d5a74183b657a81e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/854b70da0dae804d5a74183b657a81e3/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/854b70da0dae804d5a74183b657a81e3/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/854b70da0dae804d5a74183b657a81e3/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/854b70da0dae804d5a74183b657a81e3/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 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_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=0.192750, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250349, epoch loss=2.672007 Batch=659, step=1860, lr=0.192500, batch loss=0.367235, epoch loss=3.039242 Batch=719, step=1920, lr=0.192250, batch loss=0.354883, epoch loss=3.394125 Batch=779, step=1980, lr=0.192000, batch loss=0.381409, epoch loss=3.775534 Batch=839, step=2040, lr=0.191750, batch loss=0.339634, epoch loss=4.115168 Batch=899, step=2100, lr=0.191500, batch loss=0.295239, epoch loss=4.410407 Batch=959, step=2160, lr=0.191250, batch loss=0.214000, epoch loss=4.624407 Batch=1019, step=2220, lr=0.191000, batch loss=0.331036, epoch loss=4.955443 Batch=1079, step=2280, lr=0.190750, batch loss=0.208160, epoch loss=5.163603 Batch=1139, step=2340, lr=0.190500, batch loss=0.278437, epoch loss=5.442040 Batch=1199, step=2400, lr=0.190250, batch loss=0.220776, epoch loss=5.662817 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662817 Batch=59, step=2460, lr=0.190000, batch loss=0.230337, epoch loss=0.230337 Batch=119, step=2520, lr=0.189750, batch loss=0.195991, epoch loss=0.426327 Batch=179, step=2580, lr=0.189250, batch loss=0.221148, epoch loss=0.647475 Batch=239, step=2640, lr=0.189250, batch loss=0.328103, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202962, epoch loss=1.178541 Batch=359, step=2760, lr=0.188750, batch loss=0.289884, epoch loss=1.468425 Batch=419, step=2820, lr=0.188500, batch loss=0.281766, epoch loss=1.750191 Batch=479, step=2880, lr=0.188250, batch loss=0.264825, epoch loss=2.015016 Batch=539, step=2940, lr=0.188000, batch loss=0.203827, epoch loss=2.218843 Batch=599, step=3000, lr=0.187750, batch loss=0.248050, epoch loss=2.466893 Batch=659, step=3060, lr=0.187500, batch loss=0.345083, epoch loss=2.811976 Batch=719, step=3120, lr=0.187250, batch loss=0.343518, epoch loss=3.155493 Batch=779, step=3180, lr=0.187000, batch loss=0.367012, epoch loss=3.522505 Batch=839, step=3240, lr=0.186750, batch loss=0.321772, epoch loss=3.844277 Batch=899, step=3300, lr=0.186500, batch loss=0.283884, epoch loss=4.128161 Batch=959, step=3360, lr=0.186250, batch loss=0.214380, epoch loss=4.342541 Batch=1019, step=3420, lr=0.186000, batch loss=0.306439, epoch loss=4.648980 Batch=1079, step=3480, lr=0.185750, batch loss=0.177275, epoch loss=4.826255 Batch=1139, step=3540, lr=0.185500, batch loss=0.235594, epoch loss=5.061849 Batch=1199, step=3600, lr=0.185250, batch loss=0.197917, epoch loss=5.259766 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259766 Batch=59, step=3660, lr=0.185000, batch loss=0.226511, epoch loss=0.226511 Batch=119, step=3720, lr=0.184750, batch loss=0.191827, epoch loss=0.418338 Batch=179, step=3780, lr=0.184500, batch loss=0.210714, epoch loss=0.629052 Batch=239, step=3840, lr=0.184250, batch loss=0.314095, epoch loss=0.943146 Batch=299, step=3900, lr=0.184000, batch loss=0.206047, epoch loss=1.149193 Batch=359, step=3960, lr=0.183750, batch loss=0.291213, epoch loss=1.440406 Batch=419, step=4020, lr=0.183500, batch loss=0.297481, epoch loss=1.737887 Batch=479, step=4080, lr=0.183250, batch loss=0.260482, epoch loss=1.998369 Batch=539, step=4140, lr=0.183000, batch loss=0.195258, epoch loss=2.193627 Batch=599, step=4200, lr=0.182750, batch loss=0.230357, epoch loss=2.423984 Batch=659, step=4260, lr=0.182500, batch loss=0.337177, epoch loss=2.761161 Batch=719, step=4320, lr=0.182250, batch loss=0.347088, epoch loss=3.108249 Batch=779, step=4380, lr=0.182000, batch loss=0.346351, epoch loss=3.454600 Batch=839, step=4440, lr=0.181750, batch loss=0.317746, epoch loss=3.772346 Batch=899, step=4500, lr=0.181500, batch loss=0.283951, epoch loss=4.056297 Batch=959, step=4560, lr=0.181250, batch loss=0.238300, epoch loss=4.294596 Batch=1019, step=4620, lr=0.181000, batch loss=0.336969, epoch loss=4.631566 Batch=1079, step=4680, lr=0.180750, batch loss=0.208505, epoch loss=4.840070 Batch=1139, step=4740, lr=0.180500, batch loss=0.249260, epoch loss=5.089330 Batch=1199, step=4800, lr=0.180250, batch loss=0.191775, epoch loss=5.281105 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281105 Batch=59, step=4860, lr=0.180000, batch loss=0.228035, epoch loss=0.228035 Batch=119, step=4920, lr=0.179750, batch loss=0.190258, epoch loss=0.418292 Batch=179, step=4980, lr=0.179500, batch loss=0.205911, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309050, epoch loss=0.933253 Batch=299, step=5100, lr=0.179000, batch loss=0.204631, epoch loss=1.137884 Batch=359, step=5160, lr=0.178750, batch loss=0.271121, epoch loss=1.409006 Batch=419, step=5220, lr=0.178500, batch loss=0.264066, epoch loss=1.673071 Batch=479, step=5280, lr=0.178250, batch loss=0.239677, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189483, epoch loss=2.102231 Batch=599, step=5400, lr=0.177750, batch loss=0.230970, epoch loss=2.333202 Batch=659, step=5460, lr=0.177500, batch loss=0.323631, epoch loss=2.656833 Batch=719, step=5520, lr=0.177250, batch loss=0.325829, epoch loss=2.982662 Batch=779, step=5580, lr=0.177000, batch loss=0.343220, epoch loss=3.325882 Batch=839, step=5640, lr=0.176750, batch loss=0.309317, epoch loss=3.635198 Batch=899, step=5700, lr=0.176500, batch loss=0.273209, epoch loss=3.908408 Batch=959, step=5760, lr=0.176250, batch loss=0.214840, epoch loss=4.123248 Batch=1019, step=5820, lr=0.176000, batch loss=0.339256, epoch loss=4.462504 Batch=1079, step=5880, lr=0.175750, batch loss=0.207763, epoch loss=4.670267 Batch=1139, step=5940, lr=0.175500, batch loss=0.240037, epoch loss=4.910304 Batch=1199, step=6000, lr=0.175250, batch loss=0.186872, epoch loss=5.097176 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097176 Batch=59, step=6060, lr=0.175000, batch loss=0.230531, epoch loss=0.230531 Batch=119, step=6120, lr=0.174750, batch loss=0.194297, epoch loss=0.424828 Batch=179, step=6180, lr=0.174500, batch loss=0.201551, epoch loss=0.626379 Batch=239, step=6240, lr=0.174250, batch loss=0.302383, epoch loss=0.928762 Batch=299, step=6300, lr=0.174000, batch loss=0.203933, epoch loss=1.132696 Batch=359, step=6360, lr=0.173750, batch loss=0.266112, epoch loss=1.398808 Batch=419, step=6420, lr=0.173500, batch loss=0.265297, epoch loss=1.664105 Batch=479, step=6480, lr=0.173250, batch loss=0.243320, epoch loss=1.907425 Batch=539, step=6540, lr=0.173000, batch loss=0.192974, epoch loss=2.100398 Batch=599, step=6600, lr=0.172750, batch loss=0.234498, epoch loss=2.334896 Batch=659, step=6660, lr=0.172500, batch loss=0.312118, epoch loss=2.647014 Batch=719, step=6720, lr=0.172250, batch loss=0.314230, epoch loss=2.961244 Batch=779, step=6780, lr=0.172000, batch loss=0.333226, epoch loss=3.294470 Batch=839, step=6840, lr=0.171750, batch loss=0.303762, epoch loss=3.598232 Batch=899, step=6900, lr=0.171500, batch loss=0.268471, epoch loss=3.866703 Batch=959, step=6960, lr=0.171250, batch loss=0.211031, epoch loss=4.077734 Batch=1019, step=7020, lr=0.171000, batch loss=0.330445, epoch loss=4.408179 Batch=1079, step=7080, lr=0.170750, batch loss=0.180859, epoch loss=4.589038 Batch=1139, step=7140, lr=0.170500, batch loss=0.216314, epoch loss=4.805352 Batch=1199, step=7200, lr=0.170250, batch loss=0.181918, epoch loss=4.987270 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987270 Batch=59, step=7260, lr=0.170000, batch loss=0.232880, epoch loss=0.232880 Batch=119, step=7320, lr=0.169750, batch loss=0.184455, epoch loss=0.417335 Batch=179, step=7380, lr=0.169500, batch loss=0.196300, epoch loss=0.613635 Batch=239, step=7440, lr=0.169250, batch loss=0.290849, epoch loss=0.904484 Batch=299, step=7500, lr=0.169000, batch loss=0.200799, epoch loss=1.105283 Batch=359, step=7560, lr=0.168750, batch loss=0.258465, epoch loss=1.363748 Batch=419, step=7620, lr=0.168500, batch loss=0.256790, epoch loss=1.620538 Batch=479, step=7680, lr=0.168250, batch loss=0.236042, epoch loss=1.856580 Batch=539, step=7740, lr=0.168000, batch loss=0.187861, epoch loss=2.044440 Batch=599, step=7800, lr=0.167750, batch loss=0.223973, epoch loss=2.268413 Batch=659, step=7860, lr=0.167250, batch loss=0.305889, epoch loss=2.574302 Batch=719, step=7920, lr=0.167250, batch loss=0.309297, epoch loss=2.883599 Batch=779, step=7980, lr=0.167000, batch loss=0.330017, epoch loss=3.213617 Batch=839, step=8040, lr=0.166750, batch loss=0.292385, epoch loss=3.506002 Batch=899, step=8100, lr=0.166500, batch loss=0.261834, epoch loss=3.767835 Batch=959, step=8160, lr=0.166250, batch loss=0.193193, epoch loss=3.961029 Batch=1019, step=8220, lr=0.166000, batch loss=0.301036, epoch loss=4.262064 Batch=1079, step=8280, lr=0.165750, batch loss=0.183524, epoch loss=4.445588 Batch=1139, step=8340, lr=0.165500, batch loss=0.215262, epoch loss=4.660850 Batch=1199, step=8400, lr=0.165250, batch loss=0.172434, epoch loss=4.833284 Epoch=6, step=8400, lr=0.165250, epoch loss=4.833284 Batch=59, step=8460, lr=0.165000, batch loss=0.213189, epoch loss=0.213189 Batch=119, step=8520, lr=0.164750, batch loss=0.177537, epoch loss=0.390726 Batch=179, step=8580, lr=0.164500, batch loss=0.188829, epoch loss=0.579555 Batch=239, step=8640, lr=0.164250, batch loss=0.279736, epoch loss=0.859291 Batch=299, step=8700, lr=0.164000, batch loss=0.191796, epoch loss=1.051088 Batch=359, step=8760, lr=0.163750, batch loss=0.248378, epoch loss=1.299466 Batch=419, step=8820, lr=0.163500, batch loss=0.244442, epoch loss=1.543908 Batch=479, step=8880, lr=0.163250, batch loss=0.229689, epoch loss=1.773596 Batch=539, step=8940, lr=0.162750, batch loss=0.176774, epoch loss=1.950371 Batch=599, step=9000, lr=0.162750, batch loss=0.218414, epoch loss=2.168784 Batch=659, step=9060, lr=0.162500, batch loss=0.294774, epoch loss=2.463558 Batch=719, step=9120, lr=0.162250, batch loss=0.299190, epoch loss=2.762749 Batch=779, step=9180, lr=0.162000, batch loss=0.315955, epoch loss=3.078703 Batch=839, step=9240, lr=0.161750, batch loss=0.281916, epoch loss=3.360619 Batch=899, step=9300, lr=0.161500, batch loss=0.252914, epoch loss=3.613534 Batch=959, step=9360, lr=0.161250, batch loss=0.210653, epoch loss=3.824187 Batch=1019, step=9420, lr=0.161000, batch loss=0.298302, epoch loss=4.122489 Batch=1079, step=9480, lr=0.160750, batch loss=0.177899, epoch loss=4.300388 Batch=1139, step=9540, lr=0.160500, batch loss=0.206006, epoch loss=4.506395 Batch=1199, step=9600, lr=0.160250, batch loss=0.164509, epoch loss=4.670904 Epoch=7, step=9600, lr=0.160250, epoch loss=4.670904 Batch=59, step=9660, lr=0.160000, batch loss=0.191394, epoch loss=0.191394 Batch=119, step=9720, lr=0.159750, batch loss=0.162908, epoch loss=0.354303 Batch=179, step=9780, lr=0.159500, batch loss=0.178850, epoch loss=0.533152 Batch=239, step=9840, lr=0.159250, batch loss=0.261192, epoch loss=0.794344 Batch=299, step=9900, lr=0.159000, batch loss=0.183799, epoch loss=0.978143 Batch=359, step=9960, lr=0.158500, batch loss=0.245309, epoch loss=1.223452 Batch=419, step=10020, lr=0.158500, batch loss=0.243531, epoch loss=1.466984 Batch=479, step=10080, lr=0.158250, batch loss=0.222667, epoch loss=1.689651 Batch=539, step=10140, lr=0.158000, batch loss=0.164593, epoch loss=1.854244 Batch=599, step=10200, lr=0.157750, batch loss=0.197338, epoch loss=2.051582 Batch=659, step=10260, lr=0.157500, batch loss=0.282677, epoch loss=2.334258 Batch=719, step=10320, lr=0.157250, batch loss=0.278705, epoch loss=2.612964 Batch=779, step=10380, lr=0.157000, batch loss=0.295651, epoch loss=2.908615 Batch=839, step=10440, lr=0.156750, batch loss=0.269933, epoch loss=3.178548 Batch=899, step=10500, lr=0.156500, batch loss=0.237235, epoch loss=3.415783 Batch=959, step=10560, lr=0.156250, batch loss=0.176405, epoch loss=3.592189 Batch=1019, step=10620, lr=0.156000, batch loss=0.298647, epoch loss=3.890836 Batch=1079, step=10680, lr=0.155750, batch loss=0.179231, epoch loss=4.070067 Batch=1139, step=10740, lr=0.155250, batch loss=0.200571, epoch loss=4.270638 Batch=1199, step=10800, lr=0.155250, batch loss=0.155429, epoch loss=4.426068 Epoch=8, step=10800, lr=0.155250, epoch loss=4.426068 Batch=59, step=10860, lr=0.155000, batch loss=0.177365, epoch loss=0.177365 Batch=119, step=10920, lr=0.154500, batch loss=0.153091, epoch loss=0.330456 Batch=179, step=10980, lr=0.154500, batch loss=0.166314, epoch loss=0.496770 Batch=239, step=11040, lr=0.154250, batch loss=0.245425, epoch loss=0.742195 Batch=299, step=11100, lr=0.154000, batch loss=0.162095, epoch loss=0.904291 Batch=359, step=11160, lr=0.153750, batch loss=0.226880, epoch loss=1.131170 Batch=419, step=11220, lr=0.153500, batch loss=0.232626, epoch loss=1.363797 Batch=479, step=11280, lr=0.153250, batch loss=0.199736, epoch loss=1.563532 Batch=539, step=11340, lr=0.153000, batch loss=0.162973, epoch loss=1.726506 Batch=599, step=11400, lr=0.152750, batch loss=0.181380, epoch loss=1.907886 Batch=659, step=11460, lr=0.152500, batch loss=0.262860, epoch loss=2.170746 Batch=719, step=11520, lr=0.152250, batch loss=0.254290, epoch loss=2.425036 Batch=779, step=11580, lr=0.152000, batch loss=0.271960, epoch loss=2.696996 Batch=839, step=11640, lr=0.151750, batch loss=0.255229, epoch loss=2.952224 Batch=899, step=11700, lr=0.151500, batch loss=0.212400, epoch loss=3.164624 Batch=959, step=11760, lr=0.151250, batch loss=0.169888, epoch loss=3.334512 Batch=1019, step=11820, lr=0.151000, batch loss=0.264758, epoch loss=3.599270 Batch=1079, step=11880, lr=0.150750, batch loss=0.152833, epoch loss=3.752103 Batch=1139, step=11940, lr=0.150500, batch loss=0.184890, epoch loss=3.936993 Batch=1199, step=12000, lr=0.150250, batch loss=0.139381, epoch loss=4.076374 Epoch=9, step=12000, lr=0.150250, epoch loss=4.076374 Batch=59, step=12060, lr=0.150000, batch loss=0.158588, epoch loss=0.158588 Batch=119, step=12120, lr=0.149750, batch loss=0.127188, epoch loss=0.285776 Batch=179, step=12180, lr=0.149500, batch loss=0.151258, epoch loss=0.437034 Batch=239, step=12240, lr=0.149250, batch loss=0.218653, epoch loss=0.655687 Batch=299, step=12300, lr=0.149000, batch loss=0.139081, epoch loss=0.794768 Batch=359, step=12360, lr=0.148750, batch loss=0.188371, epoch loss=0.983139 Batch=419, step=12420, lr=0.148500, batch loss=0.181753, epoch loss=1.164891 Batch=479, step=12480, lr=0.148250, batch loss=0.159064, epoch loss=1.323956 Batch=539, step=12540, lr=0.148000, batch loss=0.136142, epoch loss=1.460098 Batch=599, step=12600, lr=0.147750, batch loss=0.157254, epoch loss=1.617352 Batch=659, step=12660, lr=0.147500, batch loss=0.238272, epoch loss=1.855624 Batch=719, step=12720, lr=0.147250, batch loss=0.229975, epoch loss=2.085599 Batch=779, step=12780, lr=0.147000, batch loss=0.248119, epoch loss=2.333718 Batch=839, step=12840, lr=0.146750, batch loss=0.224597, epoch loss=2.558315 Batch=899, step=12900, lr=0.146500, batch loss=0.189058, epoch loss=2.747372 Batch=959, step=12960, lr=0.146250, batch loss=0.163280, epoch loss=2.910653 Batch=1019, step=13020, lr=0.146000, batch loss=0.273187, epoch loss=3.183840 Batch=1079, step=13080, lr=0.145750, batch loss=0.123744, epoch loss=3.307584 Batch=1139, step=13140, lr=0.145500, batch loss=0.175218, epoch loss=3.482802 Batch=1199, step=13200, lr=0.145250, batch loss=0.118136, epoch loss=3.600938 Epoch=10, step=13200, lr=0.145250, epoch loss=3.600938 Batch=59, step=13260, lr=0.145000, batch loss=0.137563, epoch loss=0.137563 Batch=119, step=13320, lr=0.144750, batch loss=0.116042, epoch loss=0.253605 Batch=179, step=13380, lr=0.144500, batch loss=0.129119, epoch loss=0.382725 Batch=239, step=13440, lr=0.144250, batch loss=0.189184, epoch loss=0.571909 Batch=299, step=13500, lr=0.144000, batch loss=0.118812, epoch loss=0.690721 Batch=359, step=13560, lr=0.143750, batch loss=0.160873, epoch loss=0.851594 Batch=419, step=13620, lr=0.143500, batch loss=0.161659, epoch loss=1.013253 Batch=479, step=13680, lr=0.143250, batch loss=0.144608, epoch loss=1.157860 Batch=539, step=13740, lr=0.143000, batch loss=0.117312, epoch loss=1.275172 Batch=599, step=13800, lr=0.142750, batch loss=0.119076, epoch loss=1.394249 Batch=659, step=13860, lr=0.142500, batch loss=0.174686, epoch loss=1.568935 Batch=719, step=13920, lr=0.142250, batch loss=0.176961, epoch loss=1.745896 Batch=779, step=13980, lr=0.142000, batch loss=0.194645, epoch loss=1.940541 Batch=839, step=14040, lr=0.141750, batch loss=0.183853, epoch loss=2.124394 Batch=899, step=14100, lr=0.141500, batch loss=0.157771, epoch loss=2.282165 Batch=959, step=14160, lr=0.141250, batch loss=0.129363, epoch loss=2.411528 Batch=1019, step=14220, lr=0.141000, batch loss=0.268686, epoch loss=2.680213 Batch=1079, step=14280, lr=0.140750, batch loss=0.085344, epoch loss=2.765558 Batch=1139, step=14340, lr=0.140500, batch loss=0.129819, epoch loss=2.895377 Batch=1199, step=14400, lr=0.140250, batch loss=0.091154, epoch loss=2.986531 Epoch=11, step=14400, lr=0.140250, epoch loss=2.986531 Batch=59, step=14460, lr=0.140000, batch loss=0.119926, epoch loss=0.119926 Batch=119, step=14520, lr=0.139750, batch loss=0.114185, epoch loss=0.234111 Batch=179, step=14580, lr=0.139500, batch loss=0.106770, epoch loss=0.340881 Batch=239, step=14640, lr=0.139250, batch loss=0.141319, epoch loss=0.482200 Batch=299, step=14700, lr=0.139000, batch loss=0.075597, epoch loss=0.557797 Batch=359, step=14760, lr=0.138750, batch loss=0.118713, epoch loss=0.676509 Batch=419, step=14820, lr=0.138500, batch loss=0.126508, epoch loss=0.803017 Batch=479, step=14880, lr=0.138250, batch loss=0.104570, epoch loss=0.907588 Batch=539, step=14940, lr=0.138000, batch loss=0.117876, epoch loss=1.025464 Batch=599, step=15000, lr=0.137750, batch loss=0.085937, epoch loss=1.111401 Batch=659, step=15060, lr=0.137500, batch loss=0.127733, epoch loss=1.239134 Batch=719, step=15120, lr=0.137250, batch loss=0.126685, epoch loss=1.365819 Batch=779, step=15180, lr=0.137000, batch loss=0.154690, epoch loss=1.520509 Batch=839, step=15240, lr=0.136750, batch loss=0.165914, epoch loss=1.686423 Batch=899, step=15300, lr=0.136500, batch loss=0.264786, epoch loss=1.951209 Batch=959, step=15360, lr=0.136250, batch loss=0.058967, epoch loss=2.010176 Batch=1019, step=15420, lr=0.136000, batch loss=0.137323, epoch loss=2.147499 Batch=1079, step=15480, lr=0.135750, batch loss=0.047227, epoch loss=2.194726 Batch=1139, step=15540, lr=0.135500, batch loss=0.105681, epoch loss=2.300407 Batch=1199, step=15600, lr=0.135250, batch loss=0.062422, epoch loss=2.362829 Epoch=12, step=15600, lr=0.135250, epoch loss=2.362829 Batch=59, step=15660, lr=0.135000, batch loss=0.073670, epoch loss=0.073670 Batch=119, step=15720, lr=0.134750, batch loss=0.104081, epoch loss=0.177751 Batch=179, step=15780, lr=0.134500, batch loss=0.088011, epoch loss=0.265762 Batch=239, step=15840, lr=0.134250, batch loss=0.091971, epoch loss=0.357733 Batch=299, step=15900, lr=0.134000, batch loss=0.038173, epoch loss=0.395906 Batch=359, step=15960, lr=0.133750, batch loss=0.077745, epoch loss=0.473651 Batch=419, step=16020, lr=0.133500, batch loss=0.077721, epoch loss=0.551372 Batch=479, step=16080, lr=0.133250, batch loss=0.063187, epoch loss=0.614558 Batch=539, step=16140, lr=0.133000, batch loss=0.059553, epoch loss=0.674111 Batch=599, step=16200, lr=0.132750, batch loss=0.122162, epoch loss=0.796273 Batch=659, step=16260, lr=0.132500, batch loss=0.083305, epoch loss=0.879578 Batch=719, step=16320, lr=0.132250, batch loss=0.117689, epoch loss=0.997267 Batch=779, step=16380, lr=0.132000, batch loss=0.301261, epoch loss=1.298528 Batch=839, step=16440, lr=0.131750, batch loss=0.090203, epoch loss=1.388731 Batch=899, step=16500, lr=0.131500, batch loss=0.077360, epoch loss=1.466091 Batch=959, step=16560, lr=0.131250, batch loss=0.031206, epoch loss=1.497297 Batch=1019, step=16620, lr=0.130750, batch loss=0.067835, epoch loss=1.565132 Batch=1079, step=16680, lr=0.130750, batch loss=0.045602, epoch loss=1.610734 Batch=1139, step=16740, lr=0.130500, batch loss=0.078649, epoch loss=1.689383 Batch=1199, step=16800, lr=0.130250, batch loss=0.037013, epoch loss=1.726396 Epoch=13, step=16800, lr=0.130250, epoch loss=1.726396 Batch=59, step=16860, lr=0.130000, batch loss=0.032423, epoch loss=0.032423 Batch=119, step=16920, lr=0.129750, batch loss=0.036825, epoch loss=0.069248 Batch=179, step=16980, lr=0.129500, batch loss=0.042623, epoch loss=0.111871 Batch=239, step=17040, lr=0.129250, batch loss=0.056958, epoch loss=0.168828 Batch=299, step=17100, lr=0.129000, batch loss=0.020310, epoch loss=0.189138 Batch=359, step=17160, lr=0.128750, batch loss=0.042591, epoch loss=0.231729 Batch=419, step=17220, lr=0.128500, batch loss=0.044530, epoch loss=0.276259 Batch=479, step=17280, lr=0.128250, batch loss=0.023535, epoch loss=0.299793 Batch=539, step=17340, lr=0.128000, batch loss=0.027929, epoch loss=0.327723 Batch=599, step=17400, lr=0.127750, batch loss=0.039465, epoch loss=0.367188 Batch=659, step=17460, lr=0.127500, batch loss=0.056423, epoch loss=0.423612 Batch=719, step=17520, lr=0.127250, batch loss=0.076424, epoch loss=0.500036 Batch=779, step=17580, lr=0.127000, batch loss=0.060890, epoch loss=0.560925 Batch=839, step=17640, lr=0.126750, batch loss=0.101915, epoch loss=0.662841 Batch=899, step=17700, lr=0.126500, batch loss=0.049799, epoch loss=0.712639 Batch=959, step=17760, lr=0.126250, batch loss=0.020604, epoch loss=0.733244 Batch=1019, step=17820, lr=0.126000, batch loss=0.048698, epoch loss=0.781941 Batch=1079, step=17880, lr=0.125750, batch loss=0.044820, epoch loss=0.826762 Batch=1139, step=17940, lr=0.125500, batch loss=0.076307, epoch loss=0.903069 Batch=1199, step=18000, lr=0.125250, batch loss=0.023259, epoch loss=0.926327 Epoch=14, step=18000, lr=0.125250, epoch loss=0.926327 Batch=59, step=18060, lr=0.125000, batch loss=0.016492, epoch loss=0.016492 Batch=119, step=18120, lr=0.124750, batch loss=0.019535, epoch loss=0.036026 Batch=179, step=18180, lr=0.124500, batch loss=0.029506, epoch loss=0.065532 Batch=239, step=18240, lr=0.124250, batch loss=0.037363, epoch loss=0.102895 Batch=299, step=18300, lr=0.124000, batch loss=0.011638, epoch loss=0.114534 Batch=359, step=18360, lr=0.123750, batch loss=0.022975, epoch loss=0.137508 Batch=419, step=18420, lr=0.123500, batch loss=0.026455, epoch loss=0.163963 Batch=479, step=18480, lr=0.123250, batch loss=0.026237, epoch loss=0.190200 Batch=539, step=18540, lr=0.123000, batch loss=0.051915, epoch loss=0.242115 Batch=599, step=18600, lr=0.122750, batch loss=0.026736, epoch loss=0.268851 Batch=659, step=18660, lr=0.122500, batch loss=0.031683, epoch loss=0.300534 Batch=719, step=18720, lr=0.122250, batch loss=0.034081, epoch loss=0.334615 Batch=779, step=18780, lr=0.122000, batch loss=0.084849, epoch loss=0.419464 Batch=839, step=18840, lr=0.121750, batch loss=0.062847, epoch loss=0.482311 Batch=899, step=18900, lr=0.121500, batch loss=0.085700, epoch loss=0.568011 Batch=959, step=18960, lr=0.121250, batch loss=0.013369, epoch loss=0.581380 Batch=1019, step=19020, lr=0.121000, batch loss=0.017499, epoch loss=0.598880 Batch=1079, step=19080, lr=0.120750, batch loss=0.005158, epoch loss=0.604038 Batch=1139, step=19140, lr=0.120500, batch loss=0.025310, epoch loss=0.629348 Batch=1199, step=19200, lr=0.120250, batch loss=0.010760, epoch loss=0.640108 Epoch=15, step=19200, lr=0.120250, epoch loss=0.640108 Batch=59, step=19260, lr=0.120000, batch loss=0.006388, epoch loss=0.006388 Batch=119, step=19320, lr=0.119750, batch loss=0.027209, epoch loss=0.033597 Batch=179, step=19380, lr=0.119500, batch loss=0.069841, epoch loss=0.103439 Batch=239, step=19440, lr=0.119250, batch loss=0.027782, epoch loss=0.131220 Batch=299, step=19500, lr=0.119000, batch loss=0.010803, epoch loss=0.142024 Batch=359, step=19560, lr=0.118750, batch loss=0.023961, epoch loss=0.165985 Batch=419, step=19620, lr=0.118500, batch loss=0.020051, epoch loss=0.186036 Batch=479, step=19680, lr=0.118250, batch loss=0.009001, epoch loss=0.195036 Batch=539, step=19740, lr=0.118000, batch loss=0.020351, epoch loss=0.215387 Batch=599, step=19800, lr=0.117500, batch loss=0.020195, epoch loss=0.235582 Batch=659, step=19860, lr=0.117500, batch loss=0.021757, epoch loss=0.257339 Batch=719, step=19920, lr=0.117250, batch loss=0.016757, epoch loss=0.274096 Batch=779, step=19980, lr=0.117000, batch loss=0.039976, epoch loss=0.314072 Batch=839, step=20040, lr=0.116750, batch loss=0.046415, epoch loss=0.360487 Batch=899, step=20100, lr=0.116500, batch loss=0.048867, epoch loss=0.409354 Batch=959, step=20160, lr=0.116250, batch loss=0.011152, epoch loss=0.420507 Batch=1019, step=20220, lr=0.116000, batch loss=0.013025, epoch loss=0.433532 Batch=1079, step=20280, lr=0.115750, batch loss=0.003871, epoch loss=0.437403 Batch=1139, step=20340, lr=0.115500, batch loss=0.016799, epoch loss=0.454202 Batch=1199, step=20400, lr=0.115250, batch loss=0.006839, epoch loss=0.461041 Epoch=16, step=20400, lr=0.115250, epoch loss=0.461041 Batch=59, step=20460, lr=0.115000, batch loss=0.003277, epoch loss=0.003277 Batch=119, step=20520, lr=0.114750, batch loss=0.009389, epoch loss=0.012666 Batch=179, step=20580, lr=0.114500, batch loss=0.027081, epoch loss=0.039747 Batch=239, step=20640, lr=0.114250, batch loss=0.013925, epoch loss=0.053673 Batch=299, step=20700, lr=0.114000, batch loss=0.004684, epoch loss=0.058357 Batch=359, step=20760, lr=0.113750, batch loss=0.015079, epoch loss=0.073437 Batch=419, step=20820, lr=0.113500, batch loss=0.014887, epoch loss=0.088324 Batch=479, step=20880, lr=0.113250, batch loss=0.005448, epoch loss=0.093772 Batch=539, step=20940, lr=0.113000, batch loss=0.016310, epoch loss=0.110082 Batch=599, step=21000, lr=0.112750, batch loss=0.018847, epoch loss=0.128929 Batch=659, step=21060, lr=0.112500, batch loss=0.013737, epoch loss=0.142665 Batch=719, step=21120, lr=0.112250, batch loss=0.029047, epoch loss=0.171712 Batch=779, step=21180, lr=0.112000, batch loss=0.053126, epoch loss=0.224838 Batch=839, step=21240, lr=0.111750, batch loss=0.025362, epoch loss=0.250200 Batch=899, step=21300, lr=0.111500, batch loss=0.023946, epoch loss=0.274146 Batch=959, step=21360, lr=0.111250, batch loss=0.017663, epoch loss=0.291808 Batch=1019, step=21420, lr=0.111000, batch loss=0.018114, epoch loss=0.309922 Batch=1079, step=21480, lr=0.110750, batch loss=0.003352, epoch loss=0.313274 Batch=1139, step=21540, lr=0.110500, batch loss=0.012023, epoch loss=0.325297 Batch=1199, step=21600, lr=0.110250, batch loss=0.004565, epoch loss=0.329862 Epoch=17, step=21600, lr=0.110250, epoch loss=0.329862 Batch=59, step=21660, lr=0.110000, batch loss=0.002232, epoch loss=0.002232 Batch=119, step=21720, lr=0.109750, batch loss=0.007476, epoch loss=0.009709 Batch=179, step=21780, lr=0.109500, batch loss=0.011937, epoch loss=0.021646 Batch=239, step=21840, lr=0.109250, batch loss=0.009894, epoch loss=0.031540 Batch=299, step=21900, lr=0.108750, batch loss=0.010922, epoch loss=0.042462 Batch=359, step=21960, lr=0.108750, batch loss=0.013342, epoch loss=0.055804 Batch=419, step=22020, lr=0.108500, batch loss=0.013105, epoch loss=0.068910 Batch=479, step=22080, lr=0.108250, batch loss=0.003587, epoch loss=0.072497 Batch=539, step=22140, lr=0.108000, batch loss=0.016063, epoch loss=0.088560 Batch=599, step=22200, lr=0.107750, batch loss=0.016600, epoch loss=0.105160 Batch=659, step=22260, lr=0.107500, batch loss=0.014221, epoch loss=0.119381 Batch=719, step=22320, lr=0.107250, batch loss=0.026326, epoch loss=0.145707 Batch=779, step=22380, lr=0.107000, batch loss=0.042386, epoch loss=0.188092 Batch=839, step=22440, lr=0.106750, batch loss=0.021279, epoch loss=0.209371 Batch=899, step=22500, lr=0.106500, batch loss=0.022394, epoch loss=0.231765 Batch=959, step=22560, lr=0.106250, batch loss=0.010199, epoch loss=0.241964 Batch=1019, step=22620, lr=0.106000, batch loss=0.010077, epoch loss=0.252041 Batch=1079, step=22680, lr=0.105750, batch loss=0.000831, epoch loss=0.252872 Batch=1139, step=22740, lr=0.105500, batch loss=0.011487, epoch loss=0.264359 Batch=1199, step=22800, lr=0.105250, batch loss=0.004537, epoch loss=0.268896 Epoch=18, step=22800, lr=0.105250, epoch loss=0.268896 Batch=59, step=22860, lr=0.105000, batch loss=0.001407, epoch loss=0.001407 Batch=119, step=22920, lr=0.104750, batch loss=0.005748, epoch loss=0.007155 Batch=179, step=22980, lr=0.104500, batch loss=0.010636, epoch loss=0.017790 Batch=239, step=23040, lr=0.104250, batch loss=0.011607, epoch loss=0.029397 Batch=299, step=23100, lr=0.104000, batch loss=0.007337, epoch loss=0.036734 Batch=359, step=23160, lr=0.103750, batch loss=0.011144, epoch loss=0.047878 Batch=419, step=23220, lr=0.103500, batch loss=0.011007, epoch loss=0.058885 Batch=479, step=23280, lr=0.103250, batch loss=0.002435, epoch loss=0.061320 Batch=539, step=23340, lr=0.103000, batch loss=0.016446, epoch loss=0.077766 Batch=599, step=23400, lr=0.102750, batch loss=0.013961, epoch loss=0.091727 Batch=659, step=23460, lr=0.102500, batch loss=0.010151, epoch loss=0.101878 Batch=719, step=23520, lr=0.102250, batch loss=0.011612, epoch loss=0.113489 Batch=779, step=23580, lr=0.102000, batch loss=0.018735, epoch loss=0.132224 Batch=839, step=23640, lr=0.101500, batch loss=0.027302, epoch loss=0.159526 Batch=899, step=23700, lr=0.101500, batch loss=0.021755, epoch loss=0.181280 Batch=959, step=23760, lr=0.101250, batch loss=0.011303, epoch loss=0.192584 Batch=1019, step=23820, lr=0.101000, batch loss=0.011586, epoch loss=0.204170 Batch=1079, step=23880, lr=0.100750, batch loss=0.000661, epoch loss=0.204830 Batch=1139, step=23940, lr=0.100500, batch loss=0.009157, epoch loss=0.213987 Batch=1199, step=24000, lr=0.100250, batch loss=0.004595, epoch loss=0.218582 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218582 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ 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│*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-18 21:11.04: Job failed: Failed: Build failed