2025-06-13 17:53.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (7055a683aaa05f3b7b2d1d7c510765df431432fe) (linux-x86_64:alpine-3.21-5.3_opam-2.3) Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 7055a683 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613 # 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 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 || git fetch origin master) && git reset -q --hard 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 && 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.v0.17.3 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.3.19.1 dune-configurator.3.19.1 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.4.0.1 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 2025-06-13 17:53.55: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613-alpine-3.21-5.3_opam-2.3-47205dcdf67be5146e41cc1eb1d39162" 2025-06-13 17:53.55: Using OBuilder spec: ((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613) (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 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 || git fetch origin master) && git reset -q --hard 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 && 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.v0.17.3 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.3.19.1 dune-configurator.3.19.1 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.4.0.1 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")) ) 2025-06-13 17:53.55: Waiting for resource in pool OCluster 2025-06-13 17:53.55: Waiting for worker… 2025-06-13 17:53.55: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 7055a683 Tiny cleanup (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613) 2025-06-13 17:53.57 ---> using "3141b9cf5ba038771635d2742247938bc41e269100016f85aeafaf7cfcddc947" from cache /: (comment alpine-3.21-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-06-13 17:53.57 ---> using "80b751ed47c43451e88cd0293ed9a635ccea08011eeda4114e7ec036c06c48a3" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [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 Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-06-13 17:53.57 ---> using "6c30ca4e379a499434293ac7ae4ccb6757139c93d8bc5916b7557572123e5ba0" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-06-13 17:53.57 ---> using "a3df42546ff5706a2753d5e221aadf5e7ea87ec715342ceb488042e5402600c3" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-06-13 17:53.57 ---> using "17ab95ba4820eaae0552c498f14e3328c5320ed844b460f0519c8783adab646a" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 || git fetch origin master) && git reset -q --hard 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD bc726805e3..59e7a58f9d master -> origin/master 59e7a58f9d Merge pull request #28012 from dkalinichenko-js/opam-publish-base.v0.17.3 <><> 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) 2025-06-13 17:53.57 ---> using "2efcc1c193e245b43863b78e4f20ce4350769c8520442a867bc0d4c9deb04004" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-06-13 17:53.57 ---> using "1809c22ba5b306f885487e9535dfb8a622a9768a807e00f24024e21bb2abded1" from cache /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) 2025-06-13 17:53.57 ---> using "9c1ede3c53c0f21806704ed1aec18d204533e7a62d6b010f67688d9a7e5ff687" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-06-13 17:53.57 ---> using "4ff1723ad3dd2262a1e93b483ceb8b10c9104a55abd3c35b7c5c3d2a7bfeb3be" from cache /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.3 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.3.19.1 dune-configurator.3.19.1 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.4.0.1 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 - v3.21.3-603-g364e1f9788f [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-604-g9591d5a3077 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v3.23.0_alpha20250612-95-g79682f6f9b6 [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v3.23.0_alpha20250612-113-g440adf9352e [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v3.23.0_alpha20250612-113-g440adf9352e [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58712 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 2025-06-13 17:53.57 ---> using "3d3ad27ac3afecea09cd5fd14f58257cebd14dc819e3377a913c423c280deb0f" from cache /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 v0.17.3 - 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 3.19.1 - install dune-configurator 3.19.1 - 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 4.0.1 - 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.v0.17.3 (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 integers.0.7.0 (cached) -> retrieved fmt.0.10.0 (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.4.0.1 (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 dune.3.19.1, dune-configurator.3.19.1 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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) -> 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 saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> 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 ppxlib.0.35.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.1 -> 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-syntax-shims.1.0.0 -> installed ocaml-version.4.0.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed cppo.1.8.0 -> installed printbox.0.12 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.19.1 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.3 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> 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_enumerate.v0.17.0 -> installed ppx_globalize.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_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> 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) 2025-06-13 17:53.57 ---> using "5a6f5080515ffdbec0e41691627816412dfcc090b5080218654fffdf22ce8043" from cache /src: (copy (src .) (dst /src)) 2025-06-13 17:53.57 ---> saved as "5f4df7251082a846bfe359865c9eef0a19cc219da9aa798a7a70b46479c9e783" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) File "arrayjit/test/dune", line 6, characters 7-15: 6 | (pps ppx_jane))) ^^^^^^^^ Error: Library "ppx_jane" not found. -> required by _build/default/arrayjit/test/.merlin-conf/exe-test_numerical_types -> required by alias arrayjit/test/check (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 File "test/test_print_style.expected", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/test_print_style.expected _build/default/test/test_print_style.output diff --git a/_build/default/test/test_print_style.expected b/_build/default/test/test_print_style.output index 83b0c23..c55c8ad 100644 --- a/_build/default/test/test_print_style.expected +++ b/_build/default/test/test_print_style.output @@ -1,5 +1,5 @@ -Welcome to OCANNL! Reading configuration defaults from /Users/lukstafi/ocannl/_build/default/test/ocannl_config. +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 Testing print_style functionality: @@ -7,28 +7,24 @@ Testing print_style functionality: === Testing solved_dim_to_string === Full attributes (d=28, padding=2, label=height, proj_id): Only_labels: height - Axis_size: height=28+2 - Axis_number_and_size: height=28+2 - Projection_and_size: height=28+2 + Axis_size: height=28 + Axis_number_and_size: height=28 + Projection_and_size: height=28 Minimal attributes (d=64, no padding, no label, no proj_id): Only_labels: _ Axis_size: 64 Projection_and_size: 64 -With padding only (d=32, padding=3, label=width, no proj_id): - Axis_size: width=32+3 - Projection_and_size: width=32+3 - With projection (d=32, label=width, proj_id): Axis_size: width=32 - Projection_and_size: width=32[p1] + Projection_and_size: width=32p1 === Testing dim_to_string === Solved dimensions: Only_labels (full): height - Axis_size (full): height=28+2 - Projection_and_size (full): height=28+2 + Axis_size (full): height=28 + Projection_and_size (full): height=28 Only_labels (minimal): _ Axis_size (minimal): 64 (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/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/c6ac1e093bcbb41733d520a5d9bcbd80/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194500, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243648, epoch loss=0.711028 Batch=239, step=1440, lr=0.194250, batch loss=0.347884, epoch loss=1.058912 Batch=299, step=1500, lr=0.194000, batch loss=0.247376, epoch loss=1.306288 Batch=359, step=1560, lr=0.193750, batch loss=0.316538, epoch loss=1.622827 Batch=419, step=1620, lr=0.193500, batch loss=0.312762, epoch loss=1.935589 Batch=479, step=1680, lr=0.193250, batch loss=0.276254, epoch loss=2.211843 Batch=539, step=1740, lr=0.193000, batch loss=0.209847, epoch loss=2.421689 Batch=599, step=1800, lr=0.192750, batch loss=0.250347, epoch loss=2.672036 Batch=659, step=1860, lr=0.192500, batch loss=0.367235, epoch loss=3.039271 Batch=719, step=1920, lr=0.192250, batch loss=0.354885, epoch loss=3.394157 Batch=779, step=1980, lr=0.192000, batch loss=0.381412, epoch loss=3.775569 Batch=839, step=2040, lr=0.191750, batch loss=0.339635, epoch loss=4.115204 Batch=899, step=2100, lr=0.191500, batch loss=0.295241, epoch loss=4.410444 Batch=959, step=2160, lr=0.191250, batch loss=0.214004, epoch loss=4.624448 Batch=1019, step=2220, lr=0.191000, batch loss=0.331041, epoch loss=4.955489 Batch=1079, step=2280, lr=0.190750, batch loss=0.208153, epoch loss=5.163642 Batch=1139, step=2340, lr=0.190500, batch loss=0.278446, epoch loss=5.442088 Batch=1199, step=2400, lr=0.190250, batch loss=0.220772, epoch loss=5.662860 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662860 Batch=59, step=2460, lr=0.190000, batch loss=0.230334, epoch loss=0.230334 Batch=119, step=2520, lr=0.189750, batch loss=0.195995, epoch loss=0.426329 Batch=179, step=2580, lr=0.189500, batch loss=0.221146, 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=0.202977, epoch loss=1.178555 Batch=359, step=2760, lr=0.188750, batch loss=0.289866, epoch loss=1.468421 Batch=419, step=2820, lr=0.188500, batch loss=0.281778, epoch loss=1.750199 Batch=479, step=2880, lr=0.188250, batch loss=0.264805, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203848, epoch loss=2.218852 Batch=599, step=3000, lr=0.187750, batch loss=0.248022, epoch loss=2.466874 Batch=659, step=3060, lr=0.187500, batch loss=0.345096, epoch loss=2.811970 Batch=719, step=3120, lr=0.187250, batch loss=0.343499, epoch loss=3.155469 Batch=779, step=3180, lr=0.187000, batch loss=0.367031, epoch loss=3.522500 Batch=839, step=3240, lr=0.186750, batch loss=0.321764, epoch loss=3.844264 Batch=899, step=3300, lr=0.186500, batch loss=0.283901, epoch loss=4.128165 Batch=959, step=3360, lr=0.186250, batch loss=0.214363, epoch loss=4.342529 Batch=1019, step=3420, lr=0.186000, batch loss=0.306466, epoch loss=4.648995 Batch=1079, step=3480, lr=0.185750, batch loss=0.177246, epoch loss=4.826241 Batch=1139, step=3540, lr=0.185500, batch loss=0.235618, epoch loss=5.061859 Batch=1199, step=3600, lr=0.185250, batch loss=0.197914, epoch loss=5.259773 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259773 Batch=59, step=3660, lr=0.185000, batch loss=0.226490, epoch loss=0.226490 Batch=119, step=3720, lr=0.184750, batch loss=0.191849, epoch loss=0.418338 Batch=179, step=3780, lr=0.184500, batch loss=0.210710, epoch loss=0.629048 Batch=239, step=3840, lr=0.184250, batch loss=0.314088, epoch loss=0.943136 Batch=299, step=3900, lr=0.184000, batch loss=0.206078, epoch loss=1.149215 Batch=359, step=3960, lr=0.183750, batch loss=0.291173, epoch loss=1.440388 Batch=419, step=4020, lr=0.183500, batch loss=0.297507, epoch loss=1.737895 Batch=479, step=4080, lr=0.183250, batch loss=0.260460, epoch loss=1.998355 Batch=539, step=4140, lr=0.183000, batch loss=0.195274, epoch loss=2.193628 Batch=599, step=4200, lr=0.182750, batch loss=0.230330, epoch loss=2.423959 Batch=659, step=4260, lr=0.182500, batch loss=0.337204, epoch loss=2.761163 Batch=719, step=4320, lr=0.182250, batch loss=0.347062, epoch loss=3.108225 Batch=779, step=4380, lr=0.182000, batch loss=0.346372, epoch loss=3.454597 Batch=839, step=4440, lr=0.181750, batch loss=0.317723, epoch loss=3.772320 Batch=899, step=4500, lr=0.181500, batch loss=0.283986, epoch loss=4.056306 Batch=959, step=4560, lr=0.181250, batch loss=0.238260, epoch loss=4.294566 Batch=1019, step=4620, lr=0.181000, batch loss=0.337025, epoch loss=4.631591 Batch=1079, step=4680, lr=0.180750, batch loss=0.208451, epoch loss=4.840042 Batch=1139, step=4740, lr=0.180500, batch loss=0.249298, epoch loss=5.089340 Batch=1199, step=4800, lr=0.180250, batch loss=0.191772, epoch loss=5.281112 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281112 Batch=59, step=4860, lr=0.180000, batch loss=0.228004, epoch loss=0.228004 Batch=119, step=4920, lr=0.179750, batch loss=0.190281, epoch loss=0.418286 Batch=179, step=4980, lr=0.179500, batch loss=0.205911, epoch loss=0.624197 Batch=239, step=5040, lr=0.179250, batch loss=0.309035, epoch loss=0.933232 Batch=299, step=5100, lr=0.179000, batch loss=0.204663, epoch loss=1.137894 Batch=359, step=5160, lr=0.178750, batch loss=0.271100, epoch loss=1.408994 Batch=419, step=5220, lr=0.178500, batch loss=0.264070, epoch loss=1.673064 Batch=479, step=5280, lr=0.178250, batch loss=0.239663, epoch loss=1.912727 Batch=539, step=5340, lr=0.178000, batch loss=0.189504, epoch loss=2.102231 Batch=599, step=5400, lr=0.177750, batch loss=0.230939, epoch loss=2.333170 Batch=659, step=5460, lr=0.177500, batch loss=0.323649, epoch loss=2.656819 Batch=719, step=5520, lr=0.177250, batch loss=0.325804, epoch loss=2.982623 Batch=779, step=5580, lr=0.177000, batch loss=0.343247, epoch loss=3.325870 Batch=839, step=5640, lr=0.176750, batch loss=0.309295, epoch loss=3.635166 Batch=899, step=5700, lr=0.176500, batch loss=0.273237, epoch loss=3.908403 Batch=959, step=5760, lr=0.176250, batch loss=0.214798, epoch loss=4.123201 Batch=1019, step=5820, lr=0.176000, batch loss=0.339325, epoch loss=4.462526 Batch=1079, step=5880, lr=0.175750, batch loss=0.207698, epoch loss=4.670224 Batch=1139, step=5940, lr=0.175500, batch loss=0.240071, epoch loss=4.910294 Batch=1199, step=6000, lr=0.175250, batch loss=0.186880, epoch loss=5.097174 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097174 Batch=59, step=6060, lr=0.175000, batch loss=0.230486, epoch loss=0.230486 Batch=119, step=6120, lr=0.174750, batch loss=0.194335, epoch loss=0.424821 Batch=179, step=6180, lr=0.174500, batch loss=0.201549, epoch loss=0.626370 Batch=239, step=6240, lr=0.174250, batch loss=0.302362, epoch loss=0.928732 Batch=299, step=6300, lr=0.174000, batch loss=0.203974, epoch loss=1.132706 Batch=359, step=6360, lr=0.173750, batch loss=0.266075, epoch loss=1.398781 Batch=419, step=6420, lr=0.173500, batch loss=0.265320, epoch loss=1.664101 Batch=479, step=6480, lr=0.173250, batch loss=0.243288, epoch loss=1.907389 Batch=539, step=6540, lr=0.173000, batch loss=0.193011, epoch loss=2.100400 Batch=599, step=6600, lr=0.172750, batch loss=0.234458, epoch loss=2.334858 Batch=659, step=6660, lr=0.172500, batch loss=0.312130, epoch loss=2.646988 Batch=719, step=6720, lr=0.172250, batch loss=0.314205, epoch loss=2.961193 Batch=779, step=6780, lr=0.172000, batch loss=0.333256, epoch loss=3.294450 Batch=839, step=6840, lr=0.171750, batch loss=0.303735, epoch loss=3.598184 Batch=899, step=6900, lr=0.171500, batch loss=0.268505, epoch loss=3.866689 Batch=959, step=6960, lr=0.171250, batch loss=0.210975, epoch loss=4.077664 Batch=1019, step=7020, lr=0.171000, batch loss=0.329808, epoch loss=4.407472 Batch=1079, step=7080, lr=0.170750, batch loss=0.180582, epoch loss=4.588053 Batch=1139, step=7140, lr=0.170500, batch loss=0.216100, epoch loss=4.804153 Batch=1199, step=7200, lr=0.170250, batch loss=0.185691, epoch loss=4.989844 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989844 Batch=59, step=7260, lr=0.170000, batch loss=0.232450, epoch loss=0.232450 Batch=119, step=7320, lr=0.169750, batch loss=0.184646, epoch loss=0.417096 Batch=179, step=7380, lr=0.169500, batch loss=0.196615, epoch loss=0.613711 Batch=239, step=7440, lr=0.169250, batch loss=0.291677, epoch loss=0.905388 Batch=299, step=7500, lr=0.169000, batch loss=0.200896, epoch loss=1.106284 Batch=359, step=7560, lr=0.168750, batch loss=0.258536, epoch loss=1.364820 Batch=419, step=7620, lr=0.168500, batch loss=0.257381, epoch loss=1.622201 Batch=479, step=7680, lr=0.168250, batch loss=0.235340, epoch loss=1.857542 Batch=539, step=7740, lr=0.168000, batch loss=0.188561, epoch loss=2.046102 Batch=599, step=7800, lr=0.167750, batch loss=0.223194, epoch loss=2.269296 Batch=659, step=7860, lr=0.167500, batch loss=0.306319, epoch loss=2.575615 Batch=719, step=7920, lr=0.167250, batch loss=0.308688, epoch loss=2.884302 Batch=779, step=7980, lr=0.167000, batch loss=0.330648, epoch loss=3.214951 Batch=839, step=8040, lr=0.166750, batch loss=0.292000, epoch loss=3.506950 Batch=899, step=8100, lr=0.166500, batch loss=0.262300, epoch loss=3.769251 Batch=959, step=8160, lr=0.166250, batch loss=0.192397, epoch loss=3.961647 Batch=1019, step=8220, lr=0.166000, batch loss=0.291248, epoch loss=4.252896 Batch=1079, step=8280, lr=0.165750, batch loss=0.184183, epoch loss=4.437079 Batch=1139, step=8340, lr=0.165500, batch loss=0.216355, epoch loss=4.653433 Batch=1199, step=8400, lr=0.165250, batch loss=0.172778, epoch loss=4.826211 Epoch=6, step=8400, lr=0.165250, epoch loss=4.826211 Batch=59, step=8460, lr=0.165000, batch loss=0.211946, epoch loss=0.211946 Batch=119, step=8520, lr=0.164750, batch loss=0.178008, epoch loss=0.389954 Batch=179, step=8580, lr=0.164500, batch loss=0.188663, epoch loss=0.578617 Batch=239, step=8640, lr=0.164250, batch loss=0.279395, epoch loss=0.858013 Batch=299, step=8700, lr=0.164000, batch loss=0.193683, epoch loss=1.051696 Batch=359, step=8760, lr=0.163750, batch loss=0.247131, epoch loss=1.298826 Batch=419, step=8820, lr=0.163500, batch loss=0.244770, epoch loss=1.543596 Batch=479, step=8880, lr=0.163250, batch loss=0.229050, epoch loss=1.772646 Batch=539, step=8940, lr=0.163000, batch loss=0.177623, epoch loss=1.950269 Batch=599, step=9000, lr=0.162750, batch loss=0.217601, epoch loss=2.167870 Batch=659, step=9060, lr=0.162500, batch loss=0.294853, epoch loss=2.462723 Batch=719, step=9120, lr=0.162250, batch loss=0.298824, epoch loss=2.761547 Batch=779, step=9180, lr=0.162000, batch loss=0.316310, epoch loss=3.077858 Batch=839, step=9240, lr=0.161750, batch loss=0.281669, epoch loss=3.359527 Batch=899, step=9300, lr=0.161500, batch loss=0.250801, epoch loss=3.610328 Batch=959, step=9360, lr=0.161250, batch loss=0.200966, epoch loss=3.811293 Batch=1019, step=9420, lr=0.161000, batch loss=0.307068, epoch loss=4.118361 Batch=1079, step=9480, lr=0.160750, batch loss=0.192178, epoch loss=4.310539 Batch=1139, step=9540, lr=0.160500, batch loss=0.215773, epoch loss=4.526312 Batch=1199, step=9600, lr=0.160250, batch loss=0.165514, epoch loss=4.691826 Epoch=7, step=9600, lr=0.160250, epoch loss=4.691826 Batch=59, step=9660, lr=0.160000, batch loss=0.193662, epoch loss=0.193662 Batch=119, step=9720, lr=0.159750, batch loss=0.162750, epoch loss=0.356412 Batch=179, step=9780, lr=0.159500, batch loss=0.178485, epoch loss=0.534897 Batch=239, step=9840, lr=0.159250, batch loss=0.259816, epoch loss=0.794713 Batch=299, step=9900, lr=0.159000, batch loss=0.178777, epoch loss=0.973490 Batch=359, step=9960, lr=0.158750, batch loss=0.234996, epoch loss=1.208486 Batch=419, step=10020, lr=0.158500, batch loss=0.230268, epoch loss=1.438754 Batch=479, step=10080, lr=0.158250, batch loss=0.215085, epoch loss=1.653839 Batch=539, step=10140, lr=0.158000, batch loss=0.167859, epoch loss=1.821698 Batch=599, step=10200, lr=0.157750, batch loss=0.197437, epoch loss=2.019135 Batch=659, step=10260, lr=0.157500, batch loss=0.281357, epoch loss=2.300493 Batch=719, step=10320, lr=0.157250, batch loss=0.279000, epoch loss=2.579493 Batch=779, step=10380, lr=0.157000, batch loss=0.300785, epoch loss=2.880278 Batch=839, step=10440, lr=0.156750, batch loss=0.269719, epoch loss=3.149997 Batch=899, step=10500, lr=0.156500, batch loss=0.240258, epoch loss=3.390256 Batch=959, step=10560, lr=0.156250, batch loss=0.196764, epoch loss=3.587020 Batch=1019, step=10620, lr=0.156000, batch loss=0.283972, epoch loss=3.870992 Batch=1079, step=10680, lr=0.155750, batch loss=0.172306, epoch loss=4.043298 Batch=1139, step=10740, lr=0.155500, batch loss=0.197382, epoch loss=4.240680 Batch=1199, step=10800, lr=0.155250, batch loss=0.155534, epoch loss=4.396214 Epoch=8, step=10800, lr=0.155250, epoch loss=4.396214 Batch=59, step=10860, lr=0.155000, batch loss=0.194532, epoch loss=0.194532 Batch=119, step=10920, lr=0.154750, batch loss=0.161466, epoch loss=0.355998 Batch=179, step=10980, lr=0.154500, batch loss=0.167433, epoch loss=0.523431 Batch=239, step=11040, lr=0.154250, batch loss=0.243782, epoch loss=0.767213 Batch=299, step=11100, lr=0.154000, batch loss=0.167104, epoch loss=0.934317 Batch=359, step=11160, lr=0.153750, batch loss=0.224912, epoch loss=1.159229 Batch=419, step=11220, lr=0.153500, batch loss=0.230316, epoch loss=1.389544 Batch=479, step=11280, lr=0.153250, batch loss=0.201681, epoch loss=1.591226 Batch=539, step=11340, lr=0.153000, batch loss=0.159847, epoch loss=1.751073 Batch=599, step=11400, lr=0.152750, batch loss=0.182069, epoch loss=1.933142 Batch=659, step=11460, lr=0.152500, batch loss=0.263298, epoch loss=2.196440 Batch=719, step=11520, lr=0.152250, batch loss=0.262983, epoch loss=2.459423 Batch=779, step=11580, lr=0.152000, batch loss=0.270245, epoch loss=2.729668 Batch=839, step=11640, lr=0.151750, batch loss=0.248674, epoch loss=2.978342 Batch=899, step=11700, lr=0.151500, batch loss=0.219811, epoch loss=3.198153 Batch=959, step=11760, lr=0.151250, batch loss=0.186071, epoch loss=3.384224 Batch=1019, step=11820, lr=0.151000, batch loss=0.273322, epoch loss=3.657547 Batch=1079, step=11880, lr=0.150750, batch loss=0.151293, epoch loss=3.808840 Batch=1139, step=11940, lr=0.150500, batch loss=0.185695, epoch loss=3.994535 Batch=1199, step=12000, lr=0.150250, batch loss=0.139098, epoch loss=4.133633 Epoch=9, step=12000, lr=0.150250, epoch loss=4.133633 Batch=59, step=12060, lr=0.150000, batch loss=0.157930, epoch loss=0.157930 Batch=119, step=12120, lr=0.149750, batch loss=0.127009, epoch loss=0.284939 Batch=179, step=12180, lr=0.149500, batch loss=0.151121, epoch loss=0.436060 Batch=239, step=12240, lr=0.149250, batch loss=0.218963, epoch loss=0.655024 Batch=299, step=12300, lr=0.149000, batch loss=0.139079, epoch loss=0.794103 Batch=359, step=12360, lr=0.148750, batch loss=0.188282, epoch loss=0.982385 Batch=419, step=12420, lr=0.148500, batch loss=0.182215, epoch loss=1.164599 Batch=479, step=12480, lr=0.148250, batch loss=0.163233, epoch loss=1.327832 Batch=539, step=12540, lr=0.148000, batch loss=0.137053, epoch loss=1.464885 Batch=599, step=12600, lr=0.147750, batch loss=0.156104, epoch loss=1.620988 Batch=659, step=12660, lr=0.147500, batch loss=0.239824, epoch loss=1.860812 Batch=719, step=12720, lr=0.147250, batch loss=0.227472, epoch loss=2.088285 Batch=779, step=12780, lr=0.147000, batch loss=0.250527, epoch loss=2.338812 Batch=839, step=12840, lr=0.146750, batch loss=0.225528, epoch loss=2.564340 Batch=899, step=12900, lr=0.146500, batch loss=0.188216, epoch loss=2.752556 Batch=959, step=12960, lr=0.146250, batch loss=0.160752, epoch loss=2.913308 Batch=1019, step=13020, lr=0.146000, batch loss=0.262852, epoch loss=3.176160 Batch=1079, step=13080, lr=0.145750, batch loss=0.122398, epoch loss=3.298558 Batch=1139, step=13140, lr=0.145500, batch loss=0.177101, epoch loss=3.475659 Batch=1199, step=13200, lr=0.145250, batch loss=0.118433, epoch loss=3.594092 Epoch=10, step=13200, lr=0.145250, epoch loss=3.594092 Batch=59, step=13260, lr=0.145000, batch loss=0.146327, epoch loss=0.146327 Batch=119, step=13320, lr=0.144750, batch loss=0.124277, epoch loss=0.270603 Batch=179, step=13380, lr=0.144500, batch loss=0.130352, epoch loss=0.400955 Batch=239, step=13440, lr=0.144250, batch loss=0.190619, epoch loss=0.591574 Batch=299, step=13500, lr=0.144000, batch loss=0.110050, epoch loss=0.701624 Batch=359, step=13560, lr=0.143750, batch loss=0.161637, epoch loss=0.863261 Batch=419, step=13620, lr=0.143500, batch loss=0.160659, epoch loss=1.023920 Batch=479, step=13680, lr=0.143250, batch loss=0.146761, epoch loss=1.170682 Batch=539, step=13740, lr=0.143000, batch loss=0.118866, epoch loss=1.289548 Batch=599, step=13800, lr=0.142750, batch loss=0.119483, epoch loss=1.409030 Batch=659, step=13860, lr=0.142500, batch loss=0.175948, epoch loss=1.584979 Batch=719, step=13920, lr=0.142250, batch loss=0.176044, epoch loss=1.761023 Batch=779, step=13980, lr=0.142000, batch loss=0.196943, epoch loss=1.957966 Batch=839, step=14040, lr=0.141750, batch loss=0.188324, epoch loss=2.146290 Batch=899, step=14100, lr=0.141500, batch loss=0.178714, epoch loss=2.325003 Batch=959, step=14160, lr=0.141250, batch loss=0.136282, epoch loss=2.461286 Batch=1019, step=14220, lr=0.141000, batch loss=0.272479, epoch loss=2.733764 Batch=1079, step=14280, lr=0.140750, batch loss=0.075203, epoch loss=2.808967 Batch=1139, step=14340, lr=0.140500, batch loss=0.122602, epoch loss=2.931569 Batch=1199, step=14400, lr=0.140250, batch loss=0.088579, epoch loss=3.020148 Epoch=11, step=14400, lr=0.140250, epoch loss=3.020148 Batch=59, step=14460, lr=0.140000, batch loss=0.110860, epoch loss=0.110860 Batch=119, step=14520, lr=0.139750, batch loss=0.108155, epoch loss=0.219016 Batch=179, step=14580, lr=0.139500, batch loss=0.103937, epoch loss=0.322953 Batch=239, step=14640, lr=0.139250, batch loss=0.138486, epoch loss=0.461439 Batch=299, step=14700, lr=0.139000, batch loss=0.079074, epoch loss=0.540514 Batch=359, step=14760, lr=0.138750, batch loss=0.116955, epoch loss=0.657469 Batch=419, step=14820, lr=0.138500, batch loss=0.124304, epoch loss=0.781772 Batch=479, step=14880, lr=0.138250, batch loss=0.102872, epoch loss=0.884645 Batch=539, step=14940, lr=0.138000, batch loss=0.116193, epoch loss=1.000838 Batch=599, step=15000, lr=0.137750, batch loss=0.087301, epoch loss=1.088138 Batch=659, step=15060, lr=0.137500, batch loss=0.125494, epoch loss=1.213632 Batch=719, step=15120, lr=0.137250, batch loss=0.127788, epoch loss=1.341420 Batch=779, step=15180, lr=0.137000, batch loss=0.162404, epoch loss=1.503824 Batch=839, step=15240, lr=0.136750, batch loss=0.156473, epoch loss=1.660297 Batch=899, step=15300, lr=0.136500, batch loss=0.265198, epoch loss=1.925495 Batch=959, step=15360, lr=0.136250, batch loss=0.059828, epoch loss=1.985323 Batch=1019, step=15420, lr=0.136000, batch loss=0.132256, epoch loss=2.117578 Batch=1079, step=15480, lr=0.135750, batch loss=0.045877, epoch loss=2.163455 Batch=1139, step=15540, lr=0.135500, batch loss=0.106422, epoch loss=2.269877 Batch=1199, step=15600, lr=0.135250, batch loss=0.062504, epoch loss=2.332381 Epoch=12, step=15600, lr=0.135250, epoch loss=2.332381 Batch=59, step=15660, lr=0.135000, batch loss=0.072073, epoch loss=0.072073 Batch=119, step=15720, lr=0.134750, batch loss=0.105138, epoch loss=0.177211 Batch=179, step=15780, lr=0.134500, batch loss=0.086679, epoch loss=0.263891 Batch=239, step=15840, lr=0.134250, batch loss=0.091194, epoch loss=0.355085 Batch=299, step=15900, lr=0.134000, batch loss=0.038527, epoch loss=0.393612 Batch=359, step=15960, lr=0.133750, batch loss=0.080433, epoch loss=0.474046 Batch=419, step=16020, lr=0.133500, batch loss=0.076320, epoch loss=0.550365 Batch=479, step=16080, lr=0.133250, batch loss=0.060130, epoch loss=0.610495 Batch=539, step=16140, lr=0.133000, batch loss=0.067182, epoch loss=0.677677 Batch=599, step=16200, lr=0.132750, batch loss=0.158047, epoch loss=0.835724 Batch=659, step=16260, lr=0.132500, batch loss=0.089593, epoch loss=0.925317 Batch=719, step=16320, lr=0.132250, batch loss=0.120840, epoch loss=1.046157 Batch=779, step=16380, lr=0.132000, batch loss=0.293230, epoch loss=1.339387 Batch=839, step=16440, lr=0.131750, batch loss=0.090639, epoch loss=1.430026 Batch=899, step=16500, lr=0.131500, batch loss=0.075230, epoch loss=1.505257 Batch=959, step=16560, lr=0.131250, batch loss=0.031133, epoch loss=1.536389 Batch=1019, step=16620, lr=0.131000, batch loss=0.059034, epoch loss=1.595424 Batch=1079, step=16680, lr=0.130750, batch loss=0.063028, epoch loss=1.658452 Batch=1139, step=16740, lr=0.130500, batch loss=0.111791, epoch loss=1.770243 Batch=1199, step=16800, lr=0.130250, batch loss=0.050829, epoch loss=1.821073 Epoch=13, step=16800, lr=0.130250, epoch loss=1.821073 Batch=59, step=16860, lr=0.130000, batch loss=0.033369, epoch loss=0.033369 Batch=119, step=16920, lr=0.129750, batch loss=0.034207, epoch loss=0.067576 Batch=179, step=16980, lr=0.129500, batch loss=0.042687, epoch loss=0.110263 Batch=239, step=17040, lr=0.129250, batch loss=0.061067, epoch loss=0.171330 Batch=299, step=17100, lr=0.129000, batch loss=0.029171, epoch loss=0.200502 Batch=359, step=17160, lr=0.128750, batch loss=0.044938, epoch loss=0.245439 Batch=419, step=17220, lr=0.128500, batch loss=0.064638, epoch loss=0.310078 Batch=479, step=17280, lr=0.128250, batch loss=0.022590, epoch loss=0.332668 Batch=539, step=17340, lr=0.128000, batch loss=0.027638, epoch loss=0.360306 Batch=599, step=17400, lr=0.127750, batch loss=0.034193, epoch loss=0.394500 Batch=659, step=17460, lr=0.127500, batch loss=0.044424, epoch loss=0.438924 Batch=719, step=17520, lr=0.127250, batch loss=0.068794, epoch loss=0.507718 Batch=779, step=17580, lr=0.127000, batch loss=0.119799, epoch loss=0.627517 Batch=839, step=17640, lr=0.126750, batch loss=0.096813, epoch loss=0.724330 Batch=899, step=17700, lr=0.126500, batch loss=0.112953, epoch loss=0.837284 Batch=959, step=17760, lr=0.126250, batch loss=0.023585, epoch loss=0.860869 Batch=1019, step=17820, lr=0.126000, batch loss=0.042500, epoch loss=0.903368 Batch=1079, step=17880, lr=0.125750, batch loss=0.020248, epoch loss=0.923616 Batch=1139, step=17940, lr=0.125500, batch loss=0.044362, epoch loss=0.967978 Batch=1199, step=18000, lr=0.125250, batch loss=0.018151, epoch loss=0.986129 Epoch=14, step=18000, lr=0.125250, epoch loss=0.986129 Batch=59, step=18060, lr=0.125000, batch loss=0.011676, epoch loss=0.011676 Batch=119, step=18120, lr=0.124750, batch loss=0.018677, epoch loss=0.030354 Batch=179, step=18180, lr=0.124500, batch loss=0.029524, epoch loss=0.059878 Batch=239, step=18240, lr=0.124250, batch loss=0.033593, epoch loss=0.093471 Batch=299, step=18300, lr=0.124000, batch loss=0.009610, epoch loss=0.103081 Batch=359, step=18360, lr=0.123750, batch loss=0.024142, epoch loss=0.127223 Batch=419, step=18420, lr=0.123500, batch loss=0.038918, epoch loss=0.166141 Batch=479, step=18480, lr=0.123250, batch loss=0.017737, epoch loss=0.183878 Batch=539, step=18540, lr=0.123000, batch loss=0.025654, epoch loss=0.209531 Batch=599, step=18600, lr=0.122750, batch loss=0.026314, epoch loss=0.235845 Batch=659, step=18660, lr=0.122500, batch loss=0.029227, epoch loss=0.265071 Batch=719, step=18720, lr=0.122250, batch loss=0.034991, epoch loss=0.300062 Batch=779, step=18780, lr=0.122000, batch loss=0.075628, epoch loss=0.375690 Batch=839, step=18840, lr=0.121750, batch loss=0.047491, epoch loss=0.423181 Batch=899, step=18900, lr=0.121500, batch loss=0.051196, epoch loss=0.474377 Batch=959, step=18960, lr=0.121250, batch loss=0.018635, epoch loss=0.493012 Batch=1019, step=19020, lr=0.121000, batch loss=0.036206, epoch loss=0.529218 Batch=1079, step=19080, lr=0.120750, batch loss=0.010725, epoch loss=0.539943 Batch=1139, step=19140, lr=0.120500, batch loss=0.022442, epoch loss=0.562385 Batch=1199, step=19200, lr=0.120250, batch loss=0.008950, epoch loss=0.571336 Epoch=15, step=19200, lr=0.120250, epoch loss=0.571336 Batch=59, step=19260, lr=0.120000, batch loss=0.004097, epoch loss=0.004097 Batch=119, step=19320, lr=0.119750, batch loss=0.017590, epoch loss=0.021687 Batch=179, step=19380, lr=0.119500, batch loss=0.041872, epoch loss=0.063560 Batch=239, step=19440, lr=0.119250, batch loss=0.021128, epoch loss=0.084688 Batch=299, step=19500, lr=0.119000, batch loss=0.007280, epoch loss=0.091968 Batch=359, step=19560, lr=0.118750, batch loss=0.016879, epoch loss=0.108847 Batch=419, step=19620, lr=0.118500, batch loss=0.020576, epoch loss=0.129423 Batch=479, step=19680, lr=0.118250, batch loss=0.006945, epoch loss=0.136368 Batch=539, step=19740, lr=0.118000, batch loss=0.016559, epoch loss=0.152926 Batch=599, step=19800, lr=0.117750, batch loss=0.023694, epoch loss=0.176620 Batch=659, step=19860, lr=0.117500, batch loss=0.019951, epoch loss=0.196571 Batch=719, step=19920, lr=0.117250, batch loss=0.052298, epoch loss=0.248870 Batch=779, step=19980, lr=0.117000, batch loss=0.080728, epoch loss=0.329598 Batch=839, step=20040, lr=0.116750, batch loss=0.031239, epoch loss=0.360837 Batch=899, step=20100, lr=0.116500, batch loss=0.034766, epoch loss=0.395603 Batch=959, step=20160, lr=0.116250, batch loss=0.011931, epoch loss=0.407534 Batch=1019, step=20220, lr=0.116000, batch loss=0.015749, epoch loss=0.423282 Batch=1079, step=20280, lr=0.115750, batch loss=0.001110, epoch loss=0.424392 Batch=1139, step=20340, lr=0.115500, batch loss=0.015390, epoch loss=0.439783 Batch=1199, step=20400, lr=0.115250, batch loss=0.005560, epoch loss=0.445343 Epoch=16, step=20400, lr=0.115250, epoch loss=0.445343 Batch=59, step=20460, lr=0.115000, batch loss=0.003012, epoch loss=0.003012 Batch=119, step=20520, lr=0.114750, batch loss=0.008083, epoch loss=0.011095 Batch=179, step=20580, lr=0.114500, batch loss=0.015277, epoch loss=0.026372 Batch=239, step=20640, lr=0.114250, batch loss=0.014001, epoch loss=0.040373 Batch=299, step=20700, lr=0.114000, batch loss=0.003973, epoch loss=0.044346 Batch=359, step=20760, lr=0.113750, batch loss=0.013078, epoch loss=0.057423 Batch=419, step=20820, lr=0.113500, batch loss=0.015425, epoch loss=0.072848 Batch=479, step=20880, lr=0.113250, batch loss=0.003451, epoch loss=0.076300 Batch=539, step=20940, lr=0.113000, batch loss=0.019119, epoch loss=0.095419 Batch=599, step=21000, lr=0.112750, batch loss=0.020471, epoch loss=0.115890 Batch=659, step=21060, lr=0.112500, batch loss=0.017385, epoch loss=0.133275 Batch=719, step=21120, lr=0.112250, batch loss=0.054863, epoch loss=0.188137 Batch=779, step=21180, lr=0.112000, batch loss=0.062300, epoch loss=0.250438 Batch=839, step=21240, lr=0.111750, batch loss=0.024738, epoch loss=0.275176 Batch=899, step=21300, lr=0.111500, batch loss=0.027899, epoch loss=0.303075 Batch=959, step=21360, lr=0.111250, batch loss=0.010853, epoch loss=0.313927 Batch=1019, step=21420, lr=0.111000, batch loss=0.011766, epoch loss=0.325693 Batch=1079, step=21480, lr=0.110750, batch loss=0.001999, epoch loss=0.327692 Batch=1139, step=21540, lr=0.110500, batch loss=0.011980, epoch loss=0.339672 Batch=1199, step=21600, lr=0.110250, batch loss=0.005319, epoch loss=0.344991 Epoch=17, step=21600, lr=0.110250, epoch loss=0.344991 Batch=59, step=21660, lr=0.110000, batch loss=0.003056, epoch loss=0.003056 Batch=119, step=21720, lr=0.109750, batch loss=0.007065, epoch loss=0.010122 Batch=179, step=21780, lr=0.109500, batch loss=0.012799, epoch loss=0.022921 Batch=239, step=21840, lr=0.109250, batch loss=0.009457, epoch loss=0.032378 Batch=299, step=21900, lr=0.109000, batch loss=0.006564, epoch loss=0.038943 Batch=359, step=21960, lr=0.108750, batch loss=0.014642, epoch loss=0.053585 Batch=419, step=22020, lr=0.108500, batch loss=0.012318, epoch loss=0.065903 Batch=479, step=22080, lr=0.108250, batch loss=0.003038, epoch loss=0.068941 Batch=539, step=22140, lr=0.108000, batch loss=0.019697, epoch loss=0.088638 Batch=599, step=22200, lr=0.107750, batch loss=0.020535, epoch loss=0.109173 Batch=659, step=22260, lr=0.107500, batch loss=0.015313, epoch loss=0.124486 Batch=719, step=22320, lr=0.107250, batch loss=0.022520, epoch loss=0.147005 Batch=779, step=22380, lr=0.107000, batch loss=0.033810, epoch loss=0.180816 Batch=839, step=22440, lr=0.106750, batch loss=0.029650, epoch loss=0.210466 Batch=899, step=22500, lr=0.106500, batch loss=0.023599, epoch loss=0.234065 Batch=959, step=22560, lr=0.106250, batch loss=0.012265, epoch loss=0.246330 Batch=1019, step=22620, lr=0.106000, batch loss=0.009307, epoch loss=0.255637 Batch=1079, step=22680, lr=0.105750, batch loss=0.001930, epoch loss=0.257567 Batch=1139, step=22740, lr=0.105500, batch loss=0.010757, epoch loss=0.268325 Batch=1199, step=22800, lr=0.105250, batch loss=0.005150, epoch loss=0.273475 Epoch=18, step=22800, lr=0.105250, epoch loss=0.273475 Batch=59, step=22860, lr=0.105000, batch loss=0.002438, epoch loss=0.002438 Batch=119, step=22920, lr=0.104750, batch loss=0.005241, epoch loss=0.007679 Batch=179, step=22980, lr=0.104500, batch loss=0.012448, epoch loss=0.020127 Batch=239, step=23040, lr=0.104250, batch loss=0.008345, epoch loss=0.028472 Batch=299, step=23100, lr=0.104000, batch loss=0.009318, epoch loss=0.037790 Batch=359, step=23160, lr=0.103750, batch loss=0.011970, epoch loss=0.049760 Batch=419, step=23220, lr=0.103500, batch loss=0.010668, epoch loss=0.060428 Batch=479, step=23280, lr=0.103250, batch loss=0.003915, epoch loss=0.064343 Batch=539, step=23340, lr=0.103000, batch loss=0.014393, epoch loss=0.078735 Batch=599, step=23400, lr=0.102750, batch loss=0.014419, epoch loss=0.093155 Batch=659, step=23460, lr=0.102500, batch loss=0.013346, epoch loss=0.106501 Batch=719, step=23520, lr=0.102250, batch loss=0.015458, epoch loss=0.121959 Batch=779, step=23580, lr=0.102000, batch loss=0.021624, epoch loss=0.143583 Batch=839, step=23640, lr=0.101750, batch loss=0.025245, epoch loss=0.168828 Batch=899, step=23700, lr=0.101500, batch loss=0.022796, epoch loss=0.191624 Batch=959, step=23760, lr=0.101250, batch loss=0.008623, epoch loss=0.200247 Batch=1019, step=23820, lr=0.101000, batch loss=0.007892, epoch loss=0.208139 Batch=1079, step=23880, lr=0.100750, batch loss=0.001135, epoch loss=0.209274 Batch=1139, step=23940, lr=0.100500, batch loss=0.008829, epoch loss=0.218103 Batch=1199, step=24000, lr=0.100250, batch loss=0.004673, epoch loss=0.222776 Epoch=19, step=24000, lr=0.100250, epoch loss=0.222776 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 2025-06-13 17:54.34: Job failed: Failed: Build failed