2025-05-21 11:54.54: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (b6f271d6237f52725d0809538885b09a54c19329) (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 b6f271d6 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571 # alpine-3.21-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-21 11:54.54: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-21 11:54.54: Using OBuilder spec: ((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) (comment alpine-3.21-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-21 11:54.54: Waiting for resource in pool OCluster 2025-05-21 11:54.54: Waiting for worker… 2025-05-21 11:55.16: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at b6f271d6 Merge branch 'master' of https://github.com/ahrefs/ocannl (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-05-21 11:55.17 ---> using "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962" from cache /: (comment alpine-3.21-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 11:55.17 ---> using "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. [NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=255 --global <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-21 11:55.17 ---> using "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-21 11:55.17 ---> using "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 11:55.17 ---> using "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..c7d6d1d2aa master -> origin/master c7d6d1d2aa Merge pull request #27880 from MisterDA/os-family-fedora <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-21 11:55.17 ---> using "43e1dee62347055f32b5e04bae0991aab5ce6fbd71d6ccffe3f2b2126c80ab66" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 11:55.17 ---> using "e7ddea50aa22839dfda8010de8140d0239e99c619106cb339b5353531c35c275" 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) 2025-05-21 11:55.17 ---> using "e484c0ab1208933935ea99bc70598cee6208e193d41df8fe48f1fb4eab086d7d" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 11:55.17 ---> using "31c63d847abbceacf1604facb33ec06337e17d98aafb8f0efde797325c19b227" from cache /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apk" "update" - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz - v3.21.3-506-gaa59717f6c9 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-508-ge5616f65dfd [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v20250108-8668-gc02c58dc4e3 [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v20250108-8674-g6fc107baff9 [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v20250108-8672-g68f7c4fbf20 [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58256 distinct packages available <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apk" "add" "libffi-dev" - (1/2) Installing linux-headers (6.6-r1) - (2/2) Installing libffi-dev (3.4.7-r0) - OK: 312 MiB in 104 packages 2025-05-21 11:55.17 ---> using "ccfbf9a7c0289af3dbae36b8308ca426d55954dd201bcd119d3d2662718a88a1" 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 v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> installed conf-pkg-config.4 -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved csexp.1.5.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> installed seq.base -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed mtime.2.1.0 -> installed uutf.1.0.4 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.18.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ctypes.0.23.0 -> installed printbox-ext-plot.0.12 -> installed base.v0.17.2 -> installed ctypes-foreign.0.23.0 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-21 11:55.17 ---> using "1c1d960bdfaefe8d5590710d6f1d52afada17a543b319751a275d7b1643adabf" from cache /src: (copy (src .) (dst /src)) 2025-05-21 11:55.18 ---> saved as "ddfb5274bbd2f997150e8b0415531d668946851e4694abcd2089e4e1bbc48988" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/a0bba36a6c85d8ebf9b676aff8fe07f2/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/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=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.855278, epoch loss=35.626096 Batch=299, step=300, lr=0.199000, batch loss=1.437143, epoch loss=37.063240 Batch=359, step=360, lr=0.198750, batch loss=1.338851, epoch loss=38.402091 Batch=419, step=420, lr=0.198500, batch loss=0.611321, epoch loss=39.013412 Batch=479, step=480, lr=0.198000, batch loss=0.745907, epoch loss=39.759319 Batch=539, step=540, lr=0.198000, batch loss=0.689331, epoch loss=40.448650 Batch=599, step=600, lr=0.197750, batch loss=1.102744, epoch loss=41.551394 Batch=659, step=660, lr=0.197500, batch loss=0.481704, epoch loss=42.033098 Batch=719, step=720, lr=0.197250, batch loss=0.410610, epoch loss=42.443709 Batch=779, step=780, lr=0.197000, batch loss=0.469191, epoch loss=42.912899 Batch=839, step=840, lr=0.196750, batch loss=0.450271, epoch loss=43.363171 Batch=899, step=900, lr=0.196500, batch loss=0.383461, epoch loss=43.746632 Batch=959, step=960, lr=0.196250, batch loss=0.268373, epoch loss=44.015005 Batch=1019, step=1020, lr=0.196000, batch loss=0.486961, epoch loss=44.501966 Batch=1079, step=1080, lr=0.195500, batch loss=0.265615, epoch loss=44.767581 Batch=1139, step=1140, lr=0.195500, batch loss=0.330257, epoch loss=45.097838 Batch=1199, step=1200, lr=0.195250, batch loss=0.263401, epoch loss=45.361239 Epoch=0, step=1200, lr=0.195250, epoch loss=45.361239 Batch=59, step=1260, lr=0.195000, batch loss=0.263452, epoch loss=0.263452 Batch=119, step=1320, lr=0.194750, batch loss=0.203792, epoch loss=0.467244 Batch=179, step=1380, lr=0.194500, batch loss=0.245579, epoch loss=0.712823 Batch=239, step=1440, lr=0.194250, batch loss=0.349757, epoch loss=1.062580 Batch=299, step=1500, lr=0.194000, batch loss=0.239053, epoch loss=1.301634 Batch=359, step=1560, lr=0.193750, batch loss=0.314626, epoch loss=1.616260 Batch=419, step=1620, lr=0.193500, batch loss=0.312669, epoch loss=1.928929 Batch=479, step=1680, lr=0.193250, batch loss=0.276964, epoch loss=2.205893 Batch=539, step=1740, lr=0.193000, batch loss=0.209956, epoch loss=2.415849 Batch=599, step=1800, lr=0.192750, batch loss=0.246251, epoch loss=2.662100 Batch=659, step=1860, lr=0.192500, batch loss=0.363107, epoch loss=3.025207 Batch=719, step=1920, lr=0.192250, batch loss=0.355843, epoch loss=3.381050 Batch=779, step=1980, lr=0.192000, batch loss=0.382038, epoch loss=3.763088 Batch=839, step=2040, lr=0.191750, batch loss=0.341854, epoch loss=4.104942 Batch=899, step=2100, lr=0.191500, batch loss=0.296613, epoch loss=4.401555 Batch=959, step=2160, lr=0.191250, batch loss=0.214805, epoch loss=4.616360 Batch=1019, step=2220, lr=0.191000, batch loss=0.332700, epoch loss=4.949059 Batch=1079, step=2280, lr=0.190750, batch loss=0.208905, epoch loss=5.157964 Batch=1139, step=2340, lr=0.190500, batch loss=0.271357, epoch loss=5.429321 Batch=1199, step=2400, lr=0.190250, batch loss=0.222048, epoch loss=5.651368 Epoch=1, step=2400, lr=0.190250, epoch loss=5.651368 Batch=59, step=2460, lr=0.190000, batch loss=0.230141, epoch loss=0.230141 Batch=119, step=2520, lr=0.189750, batch loss=0.199006, epoch loss=0.429147 Batch=179, step=2580, lr=0.189500, batch loss=0.220951, epoch loss=0.650097 Batch=239, step=2640, lr=0.189250, batch loss=0.329336, epoch loss=0.979434 Batch=299, step=2700, lr=0.189000, batch loss=0.202600, epoch loss=1.182034 Batch=359, step=2760, lr=0.188750, batch loss=0.290599, epoch loss=1.472632 Batch=419, step=2820, lr=0.188500, batch loss=0.282554, epoch loss=1.755186 Batch=479, step=2880, lr=0.188250, batch loss=0.258917, epoch loss=2.014103 Batch=539, step=2940, lr=0.188000, batch loss=0.197885, epoch loss=2.211988 Batch=599, step=3000, lr=0.187500, batch loss=0.239809, epoch loss=2.451797 Batch=659, step=3060, lr=0.187250, batch loss=0.349871, epoch loss=2.801668 Batch=719, step=3120, lr=0.187250, batch loss=0.348298, epoch loss=3.149965 Batch=779, step=3180, lr=0.187000, batch loss=0.365244, epoch loss=3.515209 Batch=839, step=3240, lr=0.186750, batch loss=0.324846, epoch loss=3.840055 Batch=899, step=3300, lr=0.186500, batch loss=0.290152, epoch loss=4.130207 Batch=959, step=3360, lr=0.186000, batch loss=0.219062, epoch loss=4.349269 Batch=1019, step=3420, lr=0.185750, batch loss=0.354296, epoch loss=4.703565 Batch=1079, step=3480, lr=0.185750, batch loss=0.215468, epoch loss=4.919033 Batch=1139, step=3540, lr=0.185250, batch loss=0.268435, epoch loss=5.187468 Batch=1199, step=3600, lr=0.185250, batch loss=0.200064, epoch loss=5.387532 Epoch=2, step=3600, lr=0.185250, epoch loss=5.387532 Batch=59, step=3660, lr=0.185000, batch loss=0.225121, epoch loss=0.225121 Batch=119, step=3720, lr=0.184750, batch loss=0.183970, epoch loss=0.409090 Batch=179, step=3780, lr=0.184500, batch loss=0.212758, epoch loss=0.621848 Batch=239, step=3840, lr=0.184250, batch loss=0.318360, epoch loss=0.940208 Batch=299, step=3900, lr=0.184000, batch loss=0.204330, epoch loss=1.144538 Batch=359, step=3960, lr=0.183750, batch loss=0.282853, epoch loss=1.427391 Batch=419, step=4020, lr=0.183500, batch loss=0.272651, epoch loss=1.700043 Batch=479, step=4080, lr=0.183250, batch loss=0.249172, epoch loss=1.949215 Batch=539, step=4140, lr=0.183000, batch loss=0.194768, epoch loss=2.143983 Batch=599, step=4200, lr=0.182750, batch loss=0.230133, epoch loss=2.374117 Batch=659, step=4260, lr=0.182500, batch loss=0.332187, epoch loss=2.706303 Batch=719, step=4320, lr=0.182250, batch loss=0.336026, epoch loss=3.042330 Batch=779, step=4380, lr=0.182000, batch loss=0.358579, epoch loss=3.400909 Batch=839, step=4440, lr=0.181750, batch loss=0.314096, epoch loss=3.715005 Batch=899, step=4500, lr=0.181500, batch loss=0.280008, epoch loss=3.995014 Batch=959, step=4560, lr=0.181250, batch loss=0.209255, epoch loss=4.204268 Batch=1019, step=4620, lr=0.181000, batch loss=0.306836, epoch loss=4.511104 Batch=1079, step=4680, lr=0.180750, batch loss=0.186155, epoch loss=4.697259 Batch=1139, step=4740, lr=0.180500, batch loss=0.226767, epoch loss=4.924026 Batch=1199, step=4800, lr=0.180250, batch loss=0.191147, epoch loss=5.115173 Epoch=3, step=4800, lr=0.180250, epoch loss=5.115173 Batch=59, step=4860, lr=0.180000, batch loss=0.225262, epoch loss=0.225262 Batch=119, step=4920, lr=0.179750, batch loss=0.195612, epoch loss=0.420875 Batch=179, step=4980, lr=0.179500, batch loss=0.205729, epoch loss=0.626604 Batch=239, step=5040, lr=0.179250, batch loss=0.309750, epoch loss=0.936354 Batch=299, step=5100, lr=0.178750, batch loss=0.213951, epoch loss=1.150305 Batch=359, step=5160, lr=0.178750, batch loss=0.283124, epoch loss=1.433429 Batch=419, step=5220, lr=0.178250, batch loss=0.276416, epoch loss=1.709845 Batch=479, step=5280, lr=0.178250, batch loss=0.246206, epoch loss=1.956050 Batch=539, step=5340, lr=0.178000, batch loss=0.195070, epoch loss=2.151120 Batch=599, step=5400, lr=0.177750, batch loss=0.244846, epoch loss=2.395966 Batch=659, step=5460, lr=0.177500, batch loss=0.321836, epoch loss=2.717802 Batch=719, step=5520, lr=0.177250, batch loss=0.322177, epoch loss=3.039980 Batch=779, step=5580, lr=0.177000, batch loss=0.342028, epoch loss=3.382007 Batch=839, step=5640, lr=0.176750, batch loss=0.311367, epoch loss=3.693374 Batch=899, step=5700, lr=0.176500, batch loss=0.270239, epoch loss=3.963613 Batch=959, step=5760, lr=0.176250, batch loss=0.221020, epoch loss=4.184633 Batch=1019, step=5820, lr=0.176000, batch loss=0.336983, epoch loss=4.521617 Batch=1079, step=5880, lr=0.175750, batch loss=0.194067, epoch loss=4.715683 Batch=1139, step=5940, lr=0.175500, batch loss=0.230710, epoch loss=4.946393 Batch=1199, step=6000, lr=0.175250, batch loss=0.185657, epoch loss=5.132051 Epoch=4, step=6000, lr=0.175250, epoch loss=5.132051 Batch=59, step=6060, lr=0.175000, batch loss=0.225692, epoch loss=0.225692 Batch=119, step=6120, lr=0.174750, batch loss=0.186046, epoch loss=0.411738 Batch=179, step=6180, lr=0.174500, batch loss=0.201698, epoch loss=0.613436 Batch=239, step=6240, lr=0.174250, batch loss=0.300585, epoch loss=0.914021 Batch=299, step=6300, lr=0.174000, batch loss=0.203889, epoch loss=1.117909 Batch=359, step=6360, lr=0.173750, batch loss=0.267725, epoch loss=1.385635 Batch=419, step=6420, lr=0.173500, batch loss=0.266374, epoch loss=1.652009 Batch=479, step=6480, lr=0.173250, batch loss=0.244191, epoch loss=1.896200 Batch=539, step=6540, lr=0.173000, batch loss=0.193802, epoch loss=2.090002 Batch=599, step=6600, lr=0.172750, batch loss=0.235167, epoch loss=2.325168 Batch=659, step=6660, lr=0.172500, batch loss=0.313152, epoch loss=2.638320 Batch=719, step=6720, lr=0.172250, batch loss=0.319456, epoch loss=2.957776 Batch=779, step=6780, lr=0.172000, batch loss=0.337719, epoch loss=3.295495 Batch=839, step=6840, lr=0.171750, batch loss=0.301839, epoch loss=3.597334 Batch=899, step=6900, lr=0.171500, batch loss=0.270334, epoch loss=3.867667 Batch=959, step=6960, lr=0.171250, batch loss=0.205476, epoch loss=4.073143 Batch=1019, step=7020, lr=0.171000, batch loss=0.328808, epoch loss=4.401951 Batch=1079, step=7080, lr=0.170750, batch loss=0.184968, epoch loss=4.586919 Batch=1139, step=7140, lr=0.170500, batch loss=0.215816, epoch loss=4.802735 Batch=1199, step=7200, lr=0.170250, batch loss=0.181863, epoch loss=4.984598 Epoch=5, step=7200, lr=0.170250, epoch loss=4.984598 Batch=59, step=7260, lr=0.170000, batch loss=0.229013, epoch loss=0.229013 Batch=119, step=7320, lr=0.169750, batch loss=0.188653, epoch loss=0.417666 Batch=179, step=7380, lr=0.169500, batch loss=0.195817, epoch loss=0.613483 Batch=239, step=7440, lr=0.169250, batch loss=0.294392, epoch loss=0.907876 Batch=299, step=7500, lr=0.169000, batch loss=0.207190, epoch loss=1.115066 Batch=359, step=7560, lr=0.168750, batch loss=0.262822, epoch loss=1.377888 Batch=419, step=7620, lr=0.168500, batch loss=0.255299, epoch loss=1.633187 Batch=479, step=7680, lr=0.168250, batch loss=0.239844, epoch loss=1.873031 Batch=539, step=7740, lr=0.168000, batch loss=0.185888, epoch loss=2.058919 Batch=599, step=7800, lr=0.167750, batch loss=0.225494, epoch loss=2.284413 Batch=659, step=7860, lr=0.167500, batch loss=0.304972, epoch loss=2.589385 Batch=719, step=7920, lr=0.167250, batch loss=0.309135, epoch loss=2.898520 Batch=779, step=7980, lr=0.167000, batch loss=0.325446, epoch loss=3.223966 Batch=839, step=8040, lr=0.166750, batch loss=0.293575, epoch loss=3.517542 Batch=899, step=8100, lr=0.166500, batch loss=0.261253, epoch loss=3.778794 Batch=959, step=8160, lr=0.166250, batch loss=0.203732, epoch loss=3.982526 Batch=1019, step=8220, lr=0.166000, batch loss=0.320598, epoch loss=4.303125 Batch=1079, step=8280, lr=0.165750, batch loss=0.183777, epoch loss=4.486901 Batch=1139, step=8340, lr=0.165500, batch loss=0.215728, epoch loss=4.702629 Batch=1199, step=8400, lr=0.165250, batch loss=0.171834, epoch loss=4.874463 Epoch=6, step=8400, lr=0.165250, epoch loss=4.874463 Batch=59, step=8460, lr=0.165000, batch loss=0.211498, epoch loss=0.211498 Batch=119, step=8520, lr=0.164750, batch loss=0.174305, epoch loss=0.385804 Batch=179, step=8580, lr=0.164500, batch loss=0.188357, epoch loss=0.574160 Batch=239, step=8640, lr=0.164250, batch loss=0.281510, epoch loss=0.855670 Batch=299, step=8700, lr=0.164000, batch loss=0.199815, epoch loss=1.055486 Batch=359, step=8760, lr=0.163750, batch loss=0.254133, epoch loss=1.309618 Batch=419, step=8820, lr=0.163500, batch loss=0.247722, epoch loss=1.557341 Batch=479, step=8880, lr=0.163250, batch loss=0.228460, epoch loss=1.785800 Batch=539, step=8940, lr=0.163000, batch loss=0.180700, epoch loss=1.966500 Batch=599, step=9000, lr=0.162750, batch loss=0.216960, epoch loss=2.183460 Batch=659, step=9060, lr=0.162500, batch loss=0.293773, epoch loss=2.477233 Batch=719, step=9120, lr=0.162250, batch loss=0.296389, epoch loss=2.773622 Batch=779, step=9180, lr=0.162000, batch loss=0.316075, epoch loss=3.089697 Batch=839, step=9240, lr=0.161500, batch loss=0.285691, epoch loss=3.375388 Batch=899, step=9300, lr=0.161500, batch loss=0.251980, epoch loss=3.627368 Batch=959, step=9360, lr=0.161250, batch loss=0.199309, epoch loss=3.826677 Batch=1019, step=9420, lr=0.161000, batch loss=0.306691, epoch loss=4.133368 Batch=1079, step=9480, lr=0.160750, batch loss=0.190225, epoch loss=4.323593 Batch=1139, step=9540, lr=0.160500, batch loss=0.213511, epoch loss=4.537104 Batch=1199, step=9600, lr=0.160250, batch loss=0.165379, epoch loss=4.702483 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702483 Batch=59, step=9660, lr=0.160000, batch loss=0.196362, epoch loss=0.196362 Batch=119, step=9720, lr=0.159750, batch loss=0.167481, epoch loss=0.363843 Batch=179, step=9780, lr=0.159500, batch loss=0.178951, epoch loss=0.542793 Batch=239, step=9840, lr=0.159250, batch loss=0.262684, epoch loss=0.805478 Batch=299, step=9900, lr=0.159000, batch loss=0.182478, epoch loss=0.987956 Batch=359, step=9960, lr=0.158750, batch loss=0.243875, epoch loss=1.231831 Batch=419, step=10020, lr=0.158500, batch loss=0.232492, epoch loss=1.464323 Batch=479, step=10080, lr=0.158250, batch loss=0.214502, epoch loss=1.678825 Batch=539, step=10140, lr=0.158000, batch loss=0.170531, epoch loss=1.849356 Batch=599, step=10200, lr=0.157750, batch loss=0.202409, epoch loss=2.051765 Batch=659, step=10260, lr=0.157500, batch loss=0.278595, epoch loss=2.330360 Batch=719, step=10320, lr=0.157250, batch loss=0.282278, epoch loss=2.612637 Batch=779, step=10380, lr=0.157000, batch loss=0.297640, epoch loss=2.910277 Batch=839, step=10440, lr=0.156750, batch loss=0.272185, epoch loss=3.182462 Batch=899, step=10500, lr=0.156500, batch loss=0.236062, epoch loss=3.418524 Batch=959, step=10560, lr=0.156250, batch loss=0.179554, epoch loss=3.598078 Batch=1019, step=10620, lr=0.156000, batch loss=0.300997, epoch loss=3.899075 Batch=1079, step=10680, lr=0.155750, batch loss=0.176833, epoch loss=4.075908 Batch=1139, step=10740, lr=0.155500, batch loss=0.206837, epoch loss=4.282745 Batch=1199, step=10800, lr=0.155250, batch loss=0.153908, epoch loss=4.436653 Epoch=8, step=10800, lr=0.155250, epoch loss=4.436653 Batch=59, step=10860, lr=0.155000, batch loss=0.176578, epoch loss=0.176578 Batch=119, step=10920, lr=0.154750, batch loss=0.143237, epoch loss=0.319815 Batch=179, step=10980, lr=0.154500, batch loss=0.166075, epoch loss=0.485890 Batch=239, step=11040, lr=0.154250, batch loss=0.239828, epoch loss=0.725718 Batch=299, step=11100, lr=0.154000, batch loss=0.172984, epoch loss=0.898702 Batch=359, step=11160, lr=0.153750, batch loss=0.219514, epoch loss=1.118216 Batch=419, step=11220, lr=0.153500, batch loss=0.219368, epoch loss=1.337584 Batch=479, step=11280, lr=0.153250, batch loss=0.209192, epoch loss=1.546776 Batch=539, step=11340, lr=0.153000, batch loss=0.158393, epoch loss=1.705169 Batch=599, step=11400, lr=0.152750, batch loss=0.176257, epoch loss=1.881425 Batch=659, step=11460, lr=0.152500, batch loss=0.265192, epoch loss=2.146617 Batch=719, step=11520, lr=0.152250, batch loss=0.260683, epoch loss=2.407300 Batch=779, step=11580, lr=0.152000, batch loss=0.273031, epoch loss=2.680331 Batch=839, step=11640, lr=0.151750, batch loss=0.256353, epoch loss=2.936684 Batch=899, step=11700, lr=0.151500, batch loss=0.211397, epoch loss=3.148080 Batch=959, step=11760, lr=0.151250, batch loss=0.168628, epoch loss=3.316708 Batch=1019, step=11820, lr=0.151000, batch loss=0.267543, epoch loss=3.584252 Batch=1079, step=11880, lr=0.150750, batch loss=0.147713, epoch loss=3.731964 Batch=1139, step=11940, lr=0.150500, batch loss=0.194491, epoch loss=3.926456 Batch=1199, step=12000, lr=0.150250, batch loss=0.138451, epoch loss=4.064906 Epoch=9, step=12000, lr=0.150250, epoch loss=4.064906 Batch=59, step=12060, lr=0.150000, batch loss=0.164702, epoch loss=0.164702 Batch=119, step=12120, lr=0.149750, batch loss=0.139556, epoch loss=0.304258 Batch=179, step=12180, lr=0.149500, batch loss=0.150308, epoch loss=0.454566 Batch=239, step=12240, lr=0.149250, batch loss=0.216607, epoch loss=0.671173 Batch=299, step=12300, lr=0.149000, batch loss=0.144411, epoch loss=0.815584 Batch=359, step=12360, lr=0.148750, batch loss=0.193334, epoch loss=1.008918 Batch=419, step=12420, lr=0.148500, batch loss=0.187043, epoch loss=1.195962 Batch=479, step=12480, lr=0.148250, batch loss=0.175293, epoch loss=1.371255 Batch=539, step=12540, lr=0.148000, batch loss=0.142622, epoch loss=1.513877 Batch=599, step=12600, lr=0.147750, batch loss=0.147554, epoch loss=1.661431 Batch=659, step=12660, lr=0.147250, batch loss=0.225870, epoch loss=1.887301 Batch=719, step=12720, lr=0.147250, batch loss=0.231235, epoch loss=2.118536 Batch=779, step=12780, lr=0.147000, batch loss=0.266354, epoch loss=2.384891 Batch=839, step=12840, lr=0.146750, batch loss=0.229434, epoch loss=2.614325 Batch=899, step=12900, lr=0.146500, batch loss=0.198237, epoch loss=2.812562 Batch=959, step=12960, lr=0.146250, batch loss=0.154699, epoch loss=2.967262 Batch=1019, step=13020, lr=0.146000, batch loss=0.261668, epoch loss=3.228929 Batch=1079, step=13080, lr=0.145750, batch loss=0.113623, epoch loss=3.342552 Batch=1139, step=13140, lr=0.145500, batch loss=0.154728, epoch loss=3.497280 Batch=1199, step=13200, lr=0.145250, batch loss=0.116914, epoch loss=3.614194 Epoch=10, step=13200, lr=0.145250, epoch loss=3.614194 Batch=59, step=13260, lr=0.145000, batch loss=0.141876, epoch loss=0.141876 Batch=119, step=13320, lr=0.144750, batch loss=0.118453, epoch loss=0.260330 Batch=179, step=13380, lr=0.144500, batch loss=0.127581, epoch loss=0.387911 Batch=239, step=13440, lr=0.144250, batch loss=0.186947, epoch loss=0.574858 Batch=299, step=13500, lr=0.144000, batch loss=0.110932, epoch loss=0.685790 Batch=359, step=13560, lr=0.143750, batch loss=0.161411, epoch loss=0.847201 Batch=419, step=13620, lr=0.143500, batch loss=0.160439, epoch loss=1.007640 Batch=479, step=13680, lr=0.143250, batch loss=0.144694, epoch loss=1.152334 Batch=539, step=13740, lr=0.143000, batch loss=0.117640, epoch loss=1.269973 Batch=599, step=13800, lr=0.142750, batch loss=0.117875, epoch loss=1.387848 Batch=659, step=13860, lr=0.142500, batch loss=0.175600, epoch loss=1.563447 Batch=719, step=13920, lr=0.142250, batch loss=0.170068, epoch loss=1.733515 Batch=779, step=13980, lr=0.142000, batch loss=0.178395, epoch loss=1.911910 Batch=839, step=14040, lr=0.141750, batch loss=0.201521, epoch loss=2.113431 Batch=899, step=14100, lr=0.141500, batch loss=0.224242, epoch loss=2.337674 Batch=959, step=14160, lr=0.141250, batch loss=0.103267, epoch loss=2.440941 Batch=1019, step=14220, lr=0.141000, batch loss=0.192639, epoch loss=2.633580 Batch=1079, step=14280, lr=0.140750, batch loss=0.080535, epoch loss=2.714115 Batch=1139, step=14340, lr=0.140500, batch loss=0.131284, epoch loss=2.845399 Batch=1199, step=14400, lr=0.140250, batch loss=0.085637, epoch loss=2.931036 Epoch=11, step=14400, lr=0.140250, epoch loss=2.931036 Batch=59, step=14460, lr=0.140000, batch loss=0.101004, epoch loss=0.101004 Batch=119, step=14520, lr=0.139750, batch loss=0.098930, epoch loss=0.199934 Batch=179, step=14580, lr=0.139500, batch loss=0.097397, epoch loss=0.297331 Batch=239, step=14640, lr=0.139250, batch loss=0.142410, epoch loss=0.439741 Batch=299, step=14700, lr=0.139000, batch loss=0.115695, epoch loss=0.555436 Batch=359, step=14760, lr=0.138750, batch loss=0.129018, epoch loss=0.684454 Batch=419, step=14820, lr=0.138500, batch loss=0.159127, epoch loss=0.843581 Batch=479, step=14880, lr=0.138250, batch loss=0.084356, epoch loss=0.927937 Batch=539, step=14940, lr=0.138000, batch loss=0.067951, epoch loss=0.995888 Batch=599, step=15000, lr=0.137750, batch loss=0.095315, epoch loss=1.091204 Batch=659, step=15060, lr=0.137500, batch loss=0.195670, epoch loss=1.286873 Batch=719, step=15120, lr=0.137250, batch loss=0.117685, epoch loss=1.404559 Batch=779, step=15180, lr=0.137000, batch loss=0.134733, epoch loss=1.539292 Batch=839, step=15240, lr=0.136750, batch loss=0.158159, epoch loss=1.697451 Batch=899, step=15300, lr=0.136500, batch loss=0.257523, epoch loss=1.954974 Batch=959, step=15360, lr=0.136250, batch loss=0.071491, epoch loss=2.026465 Batch=1019, step=15420, lr=0.136000, batch loss=0.149739, epoch loss=2.176204 Batch=1079, step=15480, lr=0.135750, batch loss=0.036554, epoch loss=2.212758 Batch=1139, step=15540, lr=0.135500, batch loss=0.084918, epoch loss=2.297676 Batch=1199, step=15600, lr=0.135250, batch loss=0.053198, epoch loss=2.350875 Epoch=12, step=15600, lr=0.135250, epoch loss=2.350875 Batch=59, step=15660, lr=0.135000, batch loss=0.083353, epoch loss=0.083353 Batch=119, step=15720, lr=0.134750, batch loss=0.127578, epoch loss=0.210931 Batch=179, step=15780, lr=0.134500, batch loss=0.095047, epoch loss=0.305978 Batch=239, step=15840, lr=0.134250, batch loss=0.094251, epoch loss=0.400230 Batch=299, step=15900, lr=0.134000, batch loss=0.035419, epoch loss=0.435649 Batch=359, step=15960, lr=0.133500, batch loss=0.077606, epoch loss=0.513255 Batch=419, step=16020, lr=0.133500, batch loss=0.073730, epoch loss=0.586985 Batch=479, step=16080, lr=0.133250, batch loss=0.042682, epoch loss=0.629668 Batch=539, step=16140, lr=0.133000, batch loss=0.039600, epoch loss=0.669267 Batch=599, step=16200, lr=0.132750, batch loss=0.052000, epoch loss=0.721267 Batch=659, step=16260, lr=0.132500, batch loss=0.071421, epoch loss=0.792689 Batch=719, step=16320, lr=0.132250, batch loss=0.068760, epoch loss=0.861448 Batch=779, step=16380, lr=0.132000, batch loss=0.065577, epoch loss=0.927025 Batch=839, step=16440, lr=0.131750, batch loss=0.103248, epoch loss=1.030274 Batch=899, step=16500, lr=0.131500, batch loss=0.167941, epoch loss=1.198215 Batch=959, step=16560, lr=0.131250, batch loss=0.057349, epoch loss=1.255564 Batch=1019, step=16620, lr=0.131000, batch loss=0.147504, epoch loss=1.403068 Batch=1079, step=16680, lr=0.130750, batch loss=0.023446, epoch loss=1.426514 Batch=1139, step=16740, lr=0.130500, batch loss=0.059718, epoch loss=1.486233 Batch=1199, step=16800, lr=0.130250, batch loss=0.028471, epoch loss=1.514704 Epoch=13, step=16800, lr=0.130250, epoch loss=1.514704 Batch=59, step=16860, lr=0.130000, batch loss=0.029644, epoch loss=0.029644 Batch=119, step=16920, lr=0.129750, batch loss=0.034145, epoch loss=0.063788 Batch=179, step=16980, lr=0.129500, batch loss=0.040961, epoch loss=0.104749 Batch=239, step=17040, lr=0.129250, batch loss=0.051621, epoch loss=0.156370 Batch=299, step=17100, lr=0.129000, batch loss=0.018814, epoch loss=0.175185 Batch=359, step=17160, lr=0.128750, batch loss=0.045482, epoch loss=0.220667 Batch=419, step=17220, lr=0.128500, batch loss=0.093939, epoch loss=0.314606 Batch=479, step=17280, lr=0.128250, batch loss=0.024007, epoch loss=0.338613 Batch=539, step=17340, lr=0.128000, batch loss=0.033934, epoch loss=0.372546 Batch=599, step=17400, lr=0.127750, batch loss=0.034050, epoch loss=0.406596 Batch=659, step=17460, lr=0.127500, batch loss=0.044945, epoch loss=0.451541 Batch=719, step=17520, lr=0.127250, batch loss=0.039191, epoch loss=0.490732 Batch=779, step=17580, lr=0.127000, batch loss=0.063520, epoch loss=0.554252 Batch=839, step=17640, lr=0.126750, batch loss=0.077605, epoch loss=0.631857 Batch=899, step=17700, lr=0.126500, batch loss=0.126576, epoch loss=0.758433 Batch=959, step=17760, lr=0.126250, batch loss=0.032082, epoch loss=0.790515 Batch=1019, step=17820, lr=0.126000, batch loss=0.062211, epoch loss=0.852726 Batch=1079, step=17880, lr=0.125750, batch loss=0.018368, epoch loss=0.871093 Batch=1139, step=17940, lr=0.125500, batch loss=0.036584, epoch loss=0.907678 Batch=1199, step=18000, lr=0.125250, batch loss=0.016425, epoch loss=0.924103 Epoch=14, step=18000, lr=0.125250, epoch loss=0.924103 Batch=59, step=18060, lr=0.125000, batch loss=0.012528, epoch loss=0.012528 Batch=119, step=18120, lr=0.124750, batch loss=0.033351, epoch loss=0.045878 Batch=179, step=18180, lr=0.124500, batch loss=0.085419, epoch loss=0.131298 Batch=239, step=18240, lr=0.124250, batch loss=0.042920, epoch loss=0.174218 Batch=299, step=18300, lr=0.124000, batch loss=0.009028, epoch loss=0.183245 Batch=359, step=18360, lr=0.123750, batch loss=0.026607, epoch loss=0.209852 Batch=419, step=18420, lr=0.123500, batch loss=0.028095, epoch loss=0.237948 Batch=479, step=18480, lr=0.123250, batch loss=0.015379, epoch loss=0.253326 Batch=539, step=18540, lr=0.123000, batch loss=0.020692, epoch loss=0.274018 Batch=599, step=18600, lr=0.122750, batch loss=0.025966, epoch loss=0.299984 Batch=659, step=18660, lr=0.122500, batch loss=0.028333, epoch loss=0.328317 Batch=719, step=18720, lr=0.122250, batch loss=0.038515, epoch loss=0.366832 Batch=779, step=18780, lr=0.122000, batch loss=0.096291, epoch loss=0.463123 Batch=839, step=18840, lr=0.121750, batch loss=0.061726, epoch loss=0.524849 Batch=899, step=18900, lr=0.121500, batch loss=0.085302, epoch loss=0.610151 Batch=959, step=18960, lr=0.121250, batch loss=0.014055, epoch loss=0.624206 Batch=1019, step=19020, lr=0.121000, batch loss=0.017649, epoch loss=0.641855 Batch=1079, step=19080, lr=0.120750, batch loss=0.004257, epoch loss=0.646112 Batch=1139, step=19140, lr=0.120500, batch loss=0.022058, epoch loss=0.668170 Batch=1199, step=19200, lr=0.120250, batch loss=0.009315, epoch loss=0.677485 Epoch=15, step=19200, lr=0.120250, epoch loss=0.677485 Batch=59, step=19260, lr=0.120000, batch loss=0.004106, epoch loss=0.004106 Batch=119, step=19320, lr=0.119750, batch loss=0.011182, epoch loss=0.015288 Batch=179, step=19380, lr=0.119250, batch loss=0.019687, epoch loss=0.034975 Batch=239, step=19440, lr=0.119250, batch loss=0.023331, epoch loss=0.058306 Batch=299, step=19500, lr=0.119000, batch loss=0.015961, epoch loss=0.074267 Batch=359, step=19560, lr=0.118750, batch loss=0.033248, epoch loss=0.107514 Batch=419, step=19620, lr=0.118500, batch loss=0.020582, epoch loss=0.128097 Batch=479, step=19680, lr=0.118250, batch loss=0.006521, epoch loss=0.134618 Batch=539, step=19740, lr=0.118000, batch loss=0.018138, epoch loss=0.152755 Batch=599, step=19800, lr=0.117750, batch loss=0.021414, epoch loss=0.174169 Batch=659, step=19860, lr=0.117500, batch loss=0.017079, epoch loss=0.191248 Batch=719, step=19920, lr=0.117250, batch loss=0.029331, epoch loss=0.220579 Batch=779, step=19980, lr=0.117000, batch loss=0.065989, epoch loss=0.286568 Batch=839, step=20040, lr=0.116750, batch loss=0.030424, epoch loss=0.316991 Batch=899, step=20100, lr=0.116500, batch loss=0.033368, epoch loss=0.350360 Batch=959, step=20160, lr=0.116000, batch loss=0.015745, epoch loss=0.366105 Batch=1019, step=20220, lr=0.116000, batch loss=0.017069, epoch loss=0.383174 Batch=1079, step=20280, lr=0.115750, batch loss=0.002774, epoch loss=0.385948 Batch=1139, step=20340, lr=0.115500, batch loss=0.014913, epoch loss=0.400861 Batch=1199, step=20400, lr=0.115250, batch loss=0.007852, epoch loss=0.408712 Epoch=16, step=20400, lr=0.115250, epoch loss=0.408712 Batch=59, step=20460, lr=0.115000, batch loss=0.003858, epoch loss=0.003858 Batch=119, step=20520, lr=0.114750, batch loss=0.014599, epoch loss=0.018457 Batch=179, step=20580, lr=0.114500, batch loss=0.035743, epoch loss=0.054200 Batch=239, step=20640, lr=0.114250, batch loss=0.014945, epoch loss=0.069146 Batch=299, step=20700, lr=0.114000, batch loss=0.007433, epoch loss=0.076579 Batch=359, step=20760, lr=0.113750, batch loss=0.019818, epoch loss=0.096396 Batch=419, step=20820, lr=0.113500, batch loss=0.015417, epoch loss=0.111813 Batch=479, step=20880, lr=0.113250, batch loss=0.005218, epoch loss=0.117032 Batch=539, step=20940, lr=0.113000, batch loss=0.015079, epoch loss=0.132110 Batch=599, step=21000, lr=0.112750, batch loss=0.019255, epoch loss=0.151365 Batch=659, step=21060, lr=0.112500, batch loss=0.015595, epoch loss=0.166960 Batch=719, step=21120, lr=0.112250, batch loss=0.033467, epoch loss=0.200427 Batch=779, step=21180, lr=0.112000, batch loss=0.055830, epoch loss=0.256257 Batch=839, step=21240, lr=0.111750, batch loss=0.024600, epoch loss=0.280857 Batch=899, step=21300, lr=0.111500, batch loss=0.024318, epoch loss=0.305175 Batch=959, step=21360, lr=0.111250, batch loss=0.011697, epoch loss=0.316873 Batch=1019, step=21420, lr=0.111000, batch loss=0.011319, epoch loss=0.328192 Batch=1079, step=21480, lr=0.110750, batch loss=0.000728, epoch loss=0.328920 Batch=1139, step=21540, lr=0.110500, batch loss=0.012288, epoch loss=0.341208 Batch=1199, step=21600, lr=0.110250, batch loss=0.004625, epoch loss=0.345833 Epoch=17, step=21600, lr=0.110250, epoch loss=0.345833 Batch=59, step=21660, lr=0.110000, batch loss=0.001316, epoch loss=0.001316 Batch=119, step=21720, lr=0.109750, batch loss=0.007487, epoch loss=0.008803 Batch=179, step=21780, lr=0.109500, batch loss=0.015054, epoch loss=0.023857 Batch=239, step=21840, lr=0.109250, batch loss=0.014218, epoch loss=0.038075 Batch=299, step=21900, lr=0.109000, batch loss=0.002983, epoch loss=0.041057 Batch=359, step=21960, lr=0.108750, batch loss=0.012571, epoch loss=0.053629 Batch=419, step=22020, lr=0.108500, batch loss=0.011514, epoch loss=0.065143 Batch=479, step=22080, lr=0.108250, batch loss=0.002538, epoch loss=0.067680 Batch=539, step=22140, lr=0.108000, batch loss=0.017383, epoch loss=0.085064 Batch=599, step=22200, lr=0.107750, batch loss=0.016796, epoch loss=0.101860 Batch=659, step=22260, lr=0.107500, batch loss=0.016127, epoch loss=0.117986 Batch=719, step=22320, lr=0.107000, batch loss=0.021706, epoch loss=0.139692 Batch=779, step=22380, lr=0.107000, batch loss=0.029553, epoch loss=0.169246 Batch=839, step=22440, lr=0.106750, batch loss=0.028467, epoch loss=0.197713 Batch=899, step=22500, lr=0.106500, batch loss=0.024149, epoch loss=0.221862 Batch=959, step=22560, lr=0.106250, batch loss=0.008644, epoch loss=0.230506 Batch=1019, step=22620, lr=0.106000, batch loss=0.007053, epoch loss=0.237559 Batch=1079, step=22680, lr=0.105750, batch loss=0.002864, epoch loss=0.240423 Batch=1139, step=22740, lr=0.105500, batch loss=0.010477, epoch loss=0.250901 Batch=1199, step=22800, lr=0.105250, batch loss=0.004879, epoch loss=0.255780 Epoch=18, step=22800, lr=0.105250, epoch loss=0.255780 Batch=59, step=22860, lr=0.105000, batch loss=0.001811, epoch loss=0.001811 Batch=119, step=22920, lr=0.104750, batch loss=0.005008, epoch loss=0.006819 Batch=179, step=22980, lr=0.104500, batch loss=0.010343, epoch loss=0.017163 Batch=239, step=23040, lr=0.104250, batch loss=0.009229, epoch loss=0.026391 Batch=299, step=23100, lr=0.104000, batch loss=0.001337, epoch loss=0.027728 Batch=359, step=23160, lr=0.103750, batch loss=0.011827, epoch loss=0.039555 Batch=419, step=23220, lr=0.103500, batch loss=0.010795, epoch loss=0.050351 Batch=479, step=23280, lr=0.103250, batch loss=0.004309, epoch loss=0.054660 Batch=539, step=23340, lr=0.103000, batch loss=0.013757, epoch loss=0.068417 Batch=599, step=23400, lr=0.102750, batch loss=0.014384, epoch loss=0.082801 Batch=659, step=23460, lr=0.102500, batch loss=0.012766, epoch loss=0.095567 Batch=719, step=23520, lr=0.102000, batch loss=0.016558, epoch loss=0.112125 Batch=779, step=23580, lr=0.102000, batch loss=0.021855, epoch loss=0.133979 Batch=839, step=23640, lr=0.101750, batch loss=0.024593, epoch loss=0.158573 Batch=899, step=23700, lr=0.101500, batch loss=0.023734, epoch loss=0.182307 Batch=959, step=23760, lr=0.101250, batch loss=0.007654, epoch loss=0.189961 Batch=1019, step=23820, lr=0.101000, batch loss=0.007704, epoch loss=0.197666 Batch=1079, step=23880, lr=0.100750, batch loss=0.000514, epoch loss=0.198179 Batch=1139, step=23940, lr=0.100500, batch loss=0.008618, epoch loss=0.206798 Batch=1199, step=24000, lr=0.100250, batch loss=0.004657, epoch loss=0.211454 Epoch=19, step=24000, lr=0.100250, epoch loss=0.211454 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-21 11:57.10: Job failed: Failed: Build failed