2025-05-21 19:00.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (32a9731d4ac654f49a91c9f83191dfc5ebda531f) (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 32a9731d 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 19:00.26: 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 19:00.26: 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 19:00.26: Waiting for resource in pool OCluster 2025-05-21 19:00.26: Waiting for worker… 2025-05-21 19:21.25: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 32a9731d Fix: CUDA syntax binops were missing outer parentheses (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-05-21 19:22.20 ---> saved as "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962" /: (comment alpine-3.21-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 19:22.20 ---> saved as "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. [NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=255 --global <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-21 19:23.18 ---> saved as "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-21 19:23.19 ---> saved as "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 19:23.19 ---> saved as "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db" /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..ffb3d1e34a 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 19:24.10 ---> saved as "43e1dee62347055f32b5e04bae0991aab5ce6fbd71d6ccffe3f2b2126c80ab66" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 19:24.10 ---> saved as "e7ddea50aa22839dfda8010de8140d0239e99c619106cb339b5353531c35c275" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-21 19:24.19 ---> saved as "e484c0ab1208933935ea99bc70598cee6208e193d41df8fe48f1fb4eab086d7d" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 19:24.20 ---> saved as "31c63d847abbceacf1604facb33ec06337e17d98aafb8f0efde797325c19b227" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apk" "update" - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz - v3.21.3-509-g0e89ac270a0 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-510-g4f507628865 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v20250108-8684-gc77dd060ae8 [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v20250108-8689-g90cc14272f8 [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v20250108-8686-g79dbee1f95c [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 19:24.57 ---> saved as "ccfbf9a7c0289af3dbae36b8308ca426d55954dd201bcd119d3d2662718a88a1" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (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_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> installed seq.base -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed astring.0.8.5 -> installed ptime.1.2.0 -> installed fmt.0.10.0 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed ocaml-version.4.0.0 -> installed printbox.0.12 -> installed result.1.5 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed stdlib-shims.0.3.0 -> installed camlp-streams.5.0.1 -> installed csexp.1.5.2 -> installed multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed sexplib0.v0.17.0 -> installed thread-local-storage.0.2 -> installed integers.0.7.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed saturn_lockfree.0.5.0 -> installed ocaml-syntax-shims.1.0.0 -> 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 ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ctypes-foreign.0.23.0 -> installed printbox-ext-plot.0.12 -> installed base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-21 19:29.26 ---> saved as "1c1d960bdfaefe8d5590710d6f1d52afada17a543b319751a275d7b1643adabf" /src: (copy (src .) (dst /src)) 2025-05-21 19:29.28 ---> saved as "5ec4fefb86be0863a1234ca553546307b5aeaa23ee865140074186e7851ce78a" /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 '' -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 '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 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=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199250, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199000, batch loss=0.851101, epoch loss=35.626483 Batch=299, step=300, lr=0.198750, batch loss=1.443804, epoch loss=37.070287 Batch=359, step=360, lr=0.198500, batch loss=1.330477, epoch loss=38.400763 Batch=419, step=420, lr=0.198250, batch loss=0.617806, epoch loss=39.018569 Batch=479, step=480, lr=0.198000, batch loss=0.823855, epoch loss=39.842425 Batch=539, step=540, lr=0.197750, batch loss=0.687666, epoch loss=40.530091 Batch=599, step=600, lr=0.197750, batch loss=1.066768, epoch loss=41.596859 Batch=659, step=660, lr=0.197250, batch loss=0.483180, epoch loss=42.080038 Batch=719, step=720, lr=0.197250, batch loss=0.411419, epoch loss=42.491458 Batch=779, step=780, lr=0.197000, batch loss=0.469010, epoch loss=42.960468 Batch=839, step=840, lr=0.196750, batch loss=0.443341, epoch loss=43.403809 Batch=899, step=900, lr=0.196500, batch loss=0.383855, epoch loss=43.787664 Batch=959, step=960, lr=0.196250, batch loss=0.237518, epoch loss=44.025182 Batch=1019, step=1020, lr=0.195750, batch loss=0.440333, epoch loss=44.465515 Batch=1079, step=1080, lr=0.195500, batch loss=0.229650, epoch loss=44.695165 Batch=1139, step=1140, lr=0.195500, batch loss=0.315082, epoch loss=45.010247 Batch=1199, step=1200, lr=0.195250, batch loss=0.263493, epoch loss=45.273740 Epoch=0, step=1200, lr=0.195250, epoch loss=45.273740 Batch=59, step=1260, lr=0.195000, batch loss=0.262598, epoch loss=0.262598 Batch=119, step=1320, lr=0.194500, batch loss=0.210920, epoch loss=0.473519 Batch=179, step=1380, lr=0.194250, batch loss=0.244861, epoch loss=0.718380 Batch=239, step=1440, lr=0.194000, batch loss=0.352748, epoch loss=1.071127 Batch=299, step=1500, lr=0.193750, batch loss=0.238868, epoch loss=1.309995 Batch=359, step=1560, lr=0.193750, batch loss=0.312176, epoch loss=1.622171 Batch=419, step=1620, lr=0.193500, batch loss=0.309055, epoch loss=1.931226 Batch=479, step=1680, lr=0.193000, batch loss=0.276162, epoch loss=2.207388 Batch=539, step=1740, lr=0.193000, batch loss=0.211244, epoch loss=2.418631 Batch=599, step=1800, lr=0.192750, batch loss=0.254335, epoch loss=2.672966 Batch=659, step=1860, lr=0.192500, batch loss=0.373568, epoch loss=3.046534 Batch=719, step=1920, lr=0.192250, batch loss=0.360266, epoch loss=3.406800 Batch=779, step=1980, lr=0.192000, batch loss=0.385112, epoch loss=3.791912 Batch=839, step=2040, lr=0.191750, batch loss=0.348931, epoch loss=4.140843 Batch=899, step=2100, lr=0.191500, batch loss=0.324924, epoch loss=4.465767 Batch=959, step=2160, lr=0.191250, batch loss=0.255292, epoch loss=4.721059 Batch=1019, step=2220, lr=0.191000, batch loss=0.393656, epoch loss=5.114715 Batch=1079, step=2280, lr=0.190750, batch loss=0.237201, epoch loss=5.351916 Batch=1139, step=2340, lr=0.190500, batch loss=0.279141, epoch loss=5.631057 Batch=1199, step=2400, lr=0.190250, batch loss=0.215288, epoch loss=5.846345 Epoch=1, step=2400, lr=0.190250, epoch loss=5.846345 Batch=59, step=2460, lr=0.190000, batch loss=0.230947, epoch loss=0.230947 Batch=119, step=2520, lr=0.189750, batch loss=0.191973, epoch loss=0.422920 Batch=179, step=2580, lr=0.189500, batch loss=0.222063, epoch loss=0.644983 Batch=239, step=2640, lr=0.189250, batch loss=0.336841, epoch loss=0.981824 Batch=299, step=2700, lr=0.189000, batch loss=0.213087, epoch loss=1.194911 Batch=359, step=2760, lr=0.188750, batch loss=0.295198, epoch loss=1.490108 Batch=419, step=2820, lr=0.188500, batch loss=0.282342, epoch loss=1.772451 Batch=479, step=2880, lr=0.188250, batch loss=0.258305, epoch loss=2.030756 Batch=539, step=2940, lr=0.188000, batch loss=0.200178, epoch loss=2.230934 Batch=599, step=3000, lr=0.187750, batch loss=0.245254, epoch loss=2.476188 Batch=659, step=3060, lr=0.187500, batch loss=0.346822, epoch loss=2.823010 Batch=719, step=3120, lr=0.187250, batch loss=0.341846, epoch loss=3.164855 Batch=779, step=3180, lr=0.187000, batch loss=0.368800, epoch loss=3.533655 Batch=839, step=3240, lr=0.186750, batch loss=0.323385, epoch loss=3.857040 Batch=899, step=3300, lr=0.186500, batch loss=0.280458, epoch loss=4.137498 Batch=959, step=3360, lr=0.186250, batch loss=0.209310, epoch loss=4.346809 Batch=1019, step=3420, lr=0.186000, batch loss=0.314584, epoch loss=4.661393 Batch=1079, step=3480, lr=0.185750, batch loss=0.188776, epoch loss=4.850169 Batch=1139, step=3540, lr=0.185500, batch loss=0.231594, epoch loss=5.081763 Batch=1199, step=3600, lr=0.185250, batch loss=0.198600, epoch loss=5.280363 Epoch=2, step=3600, lr=0.185250, epoch loss=5.280363 Batch=59, step=3660, lr=0.185000, batch loss=0.238336, epoch loss=0.238336 Batch=119, step=3720, lr=0.184750, batch loss=0.201277, epoch loss=0.439613 Batch=179, step=3780, lr=0.184500, batch loss=0.212434, epoch loss=0.652046 Batch=239, step=3840, lr=0.184250, batch loss=0.317350, epoch loss=0.969396 Batch=299, step=3900, lr=0.184000, batch loss=0.203741, epoch loss=1.173137 Batch=359, step=3960, lr=0.183750, batch loss=0.282666, epoch loss=1.455803 Batch=419, step=4020, lr=0.183500, batch loss=0.272522, epoch loss=1.728325 Batch=479, step=4080, lr=0.183250, batch loss=0.248473, epoch loss=1.976798 Batch=539, step=4140, lr=0.183000, batch loss=0.195405, epoch loss=2.172202 Batch=599, step=4200, lr=0.182750, batch loss=0.241099, epoch loss=2.413301 Batch=659, step=4260, lr=0.182500, batch loss=0.328623, epoch loss=2.741924 Batch=719, step=4320, lr=0.182250, batch loss=0.328937, epoch loss=3.070861 Batch=779, step=4380, lr=0.182000, batch loss=0.351832, epoch loss=3.422693 Batch=839, step=4440, lr=0.181750, batch loss=0.319151, epoch loss=3.741844 Batch=899, step=4500, lr=0.181500, batch loss=0.292341, epoch loss=4.034185 Batch=959, step=4560, lr=0.181250, batch loss=0.244058, epoch loss=4.278243 Batch=1019, step=4620, lr=0.181000, batch loss=0.341596, epoch loss=4.619839 Batch=1079, step=4680, lr=0.180750, batch loss=0.199176, epoch loss=4.819015 Batch=1139, step=4740, lr=0.180500, batch loss=0.238402, epoch loss=5.057417 Batch=1199, step=4800, lr=0.180250, batch loss=0.191867, epoch loss=5.249284 Epoch=3, step=4800, lr=0.180250, epoch loss=5.249284 Batch=59, step=4860, lr=0.180000, batch loss=0.223861, epoch loss=0.223861 Batch=119, step=4920, lr=0.179750, batch loss=0.187559, epoch loss=0.411420 Batch=179, step=4980, lr=0.179500, batch loss=0.205658, epoch loss=0.617078 Batch=239, step=5040, lr=0.179250, batch loss=0.307777, epoch loss=0.924855 Batch=299, step=5100, lr=0.179000, batch loss=0.207616, epoch loss=1.132470 Batch=359, step=5160, lr=0.178750, batch loss=0.269725, epoch loss=1.402196 Batch=419, step=5220, lr=0.178500, batch loss=0.264318, epoch loss=1.666513 Batch=479, step=5280, lr=0.178250, batch loss=0.238234, epoch loss=1.904747 Batch=539, step=5340, lr=0.178000, batch loss=0.188371, epoch loss=2.093118 Batch=599, step=5400, lr=0.177750, batch loss=0.233828, epoch loss=2.326946 Batch=659, step=5460, lr=0.177500, batch loss=0.321914, epoch loss=2.648860 Batch=719, step=5520, lr=0.177250, batch loss=0.321929, epoch loss=2.970789 Batch=779, step=5580, lr=0.177000, batch loss=0.342190, epoch loss=3.312979 Batch=839, step=5640, lr=0.176750, batch loss=0.310580, epoch loss=3.623559 Batch=899, step=5700, lr=0.176500, batch loss=0.272332, epoch loss=3.895892 Batch=959, step=5760, lr=0.176250, batch loss=0.216781, epoch loss=4.112673 Batch=1019, step=5820, lr=0.176000, batch loss=0.335242, epoch loss=4.447915 Batch=1079, step=5880, lr=0.175750, batch loss=0.191871, epoch loss=4.639786 Batch=1139, step=5940, lr=0.175500, batch loss=0.220780, epoch loss=4.860566 Batch=1199, step=6000, lr=0.175250, batch loss=0.186489, epoch loss=5.047055 Epoch=4, step=6000, lr=0.175250, epoch loss=5.047055 Batch=59, step=6060, lr=0.175000, batch loss=0.224954, epoch loss=0.224954 Batch=119, step=6120, lr=0.174750, batch loss=0.185644, epoch loss=0.410599 Batch=179, step=6180, lr=0.174500, batch loss=0.201011, epoch loss=0.611610 Batch=239, step=6240, lr=0.174250, batch loss=0.299538, epoch loss=0.911148 Batch=299, step=6300, lr=0.174000, batch loss=0.206069, epoch loss=1.117217 Batch=359, step=6360, lr=0.173750, batch loss=0.268096, epoch loss=1.385314 Batch=419, step=6420, lr=0.173500, batch loss=0.266584, epoch loss=1.651898 Batch=479, step=6480, lr=0.173250, batch loss=0.243391, epoch loss=1.895289 Batch=539, step=6540, lr=0.173000, batch loss=0.195938, epoch loss=2.091227 Batch=599, step=6600, lr=0.172750, batch loss=0.234643, epoch loss=2.325870 Batch=659, step=6660, lr=0.172500, batch loss=0.312586, epoch loss=2.638456 Batch=719, step=6720, lr=0.172250, batch loss=0.318002, epoch loss=2.956458 Batch=779, step=6780, lr=0.172000, batch loss=0.329528, epoch loss=3.285986 Batch=839, step=6840, lr=0.171750, batch loss=0.300630, epoch loss=3.586616 Batch=899, step=6900, lr=0.171500, batch loss=0.271588, epoch loss=3.858204 Batch=959, step=6960, lr=0.171250, batch loss=0.204842, epoch loss=4.063047 Batch=1019, step=7020, lr=0.171000, batch loss=0.330428, epoch loss=4.393474 Batch=1079, step=7080, lr=0.170750, batch loss=0.183076, epoch loss=4.576550 Batch=1139, step=7140, lr=0.170500, batch loss=0.216408, epoch loss=4.792958 Batch=1199, step=7200, lr=0.170250, batch loss=0.182766, epoch loss=4.975724 Epoch=5, step=7200, lr=0.170250, epoch loss=4.975724 Batch=59, step=7260, lr=0.170000, batch loss=0.238713, epoch loss=0.238713 Batch=119, step=7320, lr=0.169750, batch loss=0.181193, epoch loss=0.419905 Batch=179, step=7380, lr=0.169500, batch loss=0.195549, epoch loss=0.615455 Batch=239, step=7440, lr=0.169250, batch loss=0.291493, epoch loss=0.906948 Batch=299, step=7500, lr=0.169000, batch loss=0.208959, epoch loss=1.115907 Batch=359, step=7560, lr=0.168750, batch loss=0.261399, epoch loss=1.377306 Batch=419, step=7620, lr=0.168500, batch loss=0.255549, epoch loss=1.632855 Batch=479, step=7680, lr=0.168250, batch loss=0.239016, epoch loss=1.871872 Batch=539, step=7740, lr=0.168000, batch loss=0.185813, epoch loss=2.057685 Batch=599, step=7800, lr=0.167750, batch loss=0.224799, epoch loss=2.282484 Batch=659, step=7860, lr=0.167500, batch loss=0.304847, epoch loss=2.587331 Batch=719, step=7920, lr=0.167250, batch loss=0.308957, epoch loss=2.896288 Batch=779, step=7980, lr=0.167000, batch loss=0.320968, epoch loss=3.217256 Batch=839, step=8040, lr=0.166750, batch loss=0.297406, epoch loss=3.514662 Batch=899, step=8100, lr=0.166500, batch loss=0.258971, epoch loss=3.773633 Batch=959, step=8160, lr=0.166250, batch loss=0.210015, epoch loss=3.983648 Batch=1019, step=8220, lr=0.166000, batch loss=0.315339, epoch loss=4.298987 Batch=1079, step=8280, lr=0.165750, batch loss=0.171779, epoch loss=4.470765 Batch=1139, step=8340, lr=0.165500, batch loss=0.210222, epoch loss=4.680987 Batch=1199, step=8400, lr=0.165250, batch loss=0.178280, epoch loss=4.859267 Epoch=6, step=8400, lr=0.165250, epoch loss=4.859267 Batch=59, step=8460, lr=0.165000, batch loss=0.229794, epoch loss=0.229794 Batch=119, step=8520, lr=0.164750, batch loss=0.175712, epoch loss=0.405506 Batch=179, step=8580, lr=0.164500, batch loss=0.188370, epoch loss=0.593876 Batch=239, step=8640, lr=0.164250, batch loss=0.278940, epoch loss=0.872816 Batch=299, step=8700, lr=0.164000, batch loss=0.190076, epoch loss=1.062892 Batch=359, step=8760, lr=0.163750, batch loss=0.251424, epoch loss=1.314316 Batch=419, step=8820, lr=0.163500, batch loss=0.244655, epoch loss=1.558972 Batch=479, step=8880, lr=0.163250, batch loss=0.228303, epoch loss=1.787274 Batch=539, step=8940, lr=0.163000, batch loss=0.179188, epoch loss=1.966462 Batch=599, step=9000, lr=0.162750, batch loss=0.217494, epoch loss=2.183956 Batch=659, step=9060, lr=0.162500, batch loss=0.294268, epoch loss=2.478225 Batch=719, step=9120, lr=0.162250, batch loss=0.297851, epoch loss=2.776075 Batch=779, step=9180, lr=0.162000, batch loss=0.315580, epoch loss=3.091655 Batch=839, step=9240, lr=0.161750, batch loss=0.282292, epoch loss=3.373947 Batch=899, step=9300, lr=0.161500, batch loss=0.252614, epoch loss=3.626562 Batch=959, step=9360, lr=0.161250, batch loss=0.198882, epoch loss=3.825443 Batch=1019, step=9420, lr=0.161000, batch loss=0.308424, epoch loss=4.133867 Batch=1079, step=9480, lr=0.160750, batch loss=0.195829, epoch loss=4.329696 Batch=1139, step=9540, lr=0.160500, batch loss=0.214105, epoch loss=4.543801 Batch=1199, step=9600, lr=0.160250, batch loss=0.167851, epoch loss=4.711652 Epoch=7, step=9600, lr=0.160250, epoch loss=4.711652 Batch=59, step=9660, lr=0.160000, batch loss=0.203611, epoch loss=0.203611 Batch=119, step=9720, lr=0.159750, batch loss=0.176425, epoch loss=0.380035 Batch=179, step=9780, lr=0.159500, batch loss=0.179853, epoch loss=0.559888 Batch=239, step=9840, lr=0.159250, batch loss=0.264386, epoch loss=0.824274 Batch=299, step=9900, lr=0.159000, batch loss=0.181716, epoch loss=1.005990 Batch=359, step=9960, lr=0.158750, batch loss=0.242079, epoch loss=1.248069 Batch=419, step=10020, lr=0.158500, batch loss=0.234732, epoch loss=1.482801 Batch=479, step=10080, lr=0.158250, batch loss=0.220227, epoch loss=1.703028 Batch=539, step=10140, lr=0.157750, batch loss=0.170926, epoch loss=1.873954 Batch=599, step=10200, lr=0.157750, batch loss=0.203320, epoch loss=2.077275 Batch=659, step=10260, lr=0.157500, batch loss=0.282010, epoch loss=2.359284 Batch=719, step=10320, lr=0.157250, batch loss=0.286860, epoch loss=2.646144 Batch=779, step=10380, lr=0.157000, batch loss=0.295803, epoch loss=2.941947 Batch=839, step=10440, lr=0.156500, batch loss=0.267407, epoch loss=3.209354 Batch=899, step=10500, lr=0.156500, batch loss=0.242696, epoch loss=3.452050 Batch=959, step=10560, lr=0.156250, batch loss=0.197415, epoch loss=3.649466 Batch=1019, step=10620, lr=0.156000, batch loss=0.281103, epoch loss=3.930569 Batch=1079, step=10680, lr=0.155750, batch loss=0.171384, epoch loss=4.101954 Batch=1139, step=10740, lr=0.155500, batch loss=0.198427, epoch loss=4.300381 Batch=1199, step=10800, lr=0.155250, batch loss=0.155142, epoch loss=4.455523 Epoch=8, step=10800, lr=0.155250, epoch loss=4.455523 Batch=59, step=10860, lr=0.155000, batch loss=0.180388, epoch loss=0.180388 Batch=119, step=10920, lr=0.154750, batch loss=0.150191, epoch loss=0.330579 Batch=179, step=10980, lr=0.154500, batch loss=0.166571, epoch loss=0.497150 Batch=239, step=11040, lr=0.154250, batch loss=0.242289, epoch loss=0.739438 Batch=299, step=11100, lr=0.154000, batch loss=0.172156, epoch loss=0.911594 Batch=359, step=11160, lr=0.153750, batch loss=0.221762, epoch loss=1.133356 Batch=419, step=11220, lr=0.153500, batch loss=0.216764, epoch loss=1.350121 Batch=479, step=11280, lr=0.153250, batch loss=0.212768, epoch loss=1.562888 Batch=539, step=11340, lr=0.153000, batch loss=0.170070, epoch loss=1.732958 Batch=599, step=11400, lr=0.152750, batch loss=0.175447, epoch loss=1.908406 Batch=659, step=11460, lr=0.152500, batch loss=0.262219, epoch loss=2.170624 Batch=719, step=11520, lr=0.152250, batch loss=0.263886, epoch loss=2.434511 Batch=779, step=11580, lr=0.152000, batch loss=0.272513, epoch loss=2.707024 Batch=839, step=11640, lr=0.151750, batch loss=0.251667, epoch loss=2.958691 Batch=899, step=11700, lr=0.151500, batch loss=0.219377, epoch loss=3.178068 Batch=959, step=11760, lr=0.151250, batch loss=0.184985, epoch loss=3.363052 Batch=1019, step=11820, lr=0.151000, batch loss=0.275575, epoch loss=3.638627 Batch=1079, step=11880, lr=0.150750, batch loss=0.149703, epoch loss=3.788330 Batch=1139, step=11940, lr=0.150500, batch loss=0.179557, epoch loss=3.967887 Batch=1199, step=12000, lr=0.150250, batch loss=0.140288, epoch loss=4.108175 Epoch=9, step=12000, lr=0.150250, epoch loss=4.108175 Batch=59, step=12060, lr=0.150000, batch loss=0.160774, epoch loss=0.160774 Batch=119, step=12120, lr=0.149750, batch loss=0.136809, epoch loss=0.297583 Batch=179, step=12180, lr=0.149500, batch loss=0.151783, epoch loss=0.449366 Batch=239, step=12240, lr=0.149250, batch loss=0.220667, epoch loss=0.670033 Batch=299, step=12300, lr=0.149000, batch loss=0.143497, epoch loss=0.813530 Batch=359, step=12360, lr=0.148750, batch loss=0.197777, epoch loss=1.011307 Batch=419, step=12420, lr=0.148500, batch loss=0.207525, epoch loss=1.218832 Batch=479, step=12480, lr=0.148250, batch loss=0.179530, epoch loss=1.398361 Batch=539, step=12540, lr=0.148000, batch loss=0.143750, epoch loss=1.542111 Batch=599, step=12600, lr=0.147750, batch loss=0.150118, epoch loss=1.692230 Batch=659, step=12660, lr=0.147500, batch loss=0.228348, epoch loss=1.920578 Batch=719, step=12720, lr=0.147250, batch loss=0.236324, epoch loss=2.156902 Batch=779, step=12780, lr=0.147000, batch loss=0.266143, epoch loss=2.423045 Batch=839, step=12840, lr=0.146750, batch loss=0.233725, epoch loss=2.656770 Batch=899, step=12900, lr=0.146500, batch loss=0.202348, epoch loss=2.859118 Batch=959, step=12960, lr=0.146250, batch loss=0.151619, epoch loss=3.010737 Batch=1019, step=13020, lr=0.146000, batch loss=0.265092, epoch loss=3.275829 Batch=1079, step=13080, lr=0.145750, batch loss=0.114619, epoch loss=3.390448 Batch=1139, step=13140, lr=0.145500, batch loss=0.152452, epoch loss=3.542900 Batch=1199, step=13200, lr=0.145250, batch loss=0.118380, epoch loss=3.661280 Epoch=10, step=13200, lr=0.145250, epoch loss=3.661280 Batch=59, step=13260, lr=0.145000, batch loss=0.137903, epoch loss=0.137903 Batch=119, step=13320, lr=0.144750, batch loss=0.120059, epoch loss=0.257962 Batch=179, step=13380, lr=0.144500, batch loss=0.127981, epoch loss=0.385943 Batch=239, step=13440, lr=0.144250, batch loss=0.184587, epoch loss=0.570530 Batch=299, step=13500, lr=0.144000, batch loss=0.115115, epoch loss=0.685645 Batch=359, step=13560, lr=0.143750, batch loss=0.162773, epoch loss=0.848418 Batch=419, step=13620, lr=0.143500, batch loss=0.163996, epoch loss=1.012414 Batch=479, step=13680, lr=0.143250, batch loss=0.145899, epoch loss=1.158313 Batch=539, step=13740, lr=0.143000, batch loss=0.121234, epoch loss=1.279547 Batch=599, step=13800, lr=0.142750, batch loss=0.121620, epoch loss=1.401168 Batch=659, step=13860, lr=0.142500, batch loss=0.177248, epoch loss=1.578416 Batch=719, step=13920, lr=0.142250, batch loss=0.176837, epoch loss=1.755253 Batch=779, step=13980, lr=0.142000, batch loss=0.199970, epoch loss=1.955223 Batch=839, step=14040, lr=0.141750, batch loss=0.201514, epoch loss=2.156737 Batch=899, step=14100, lr=0.141500, batch loss=0.215015, epoch loss=2.371752 Batch=959, step=14160, lr=0.141250, batch loss=0.107218, epoch loss=2.478970 Batch=1019, step=14220, lr=0.141000, batch loss=0.193711, epoch loss=2.672682 Batch=1079, step=14280, lr=0.140750, batch loss=0.081498, epoch loss=2.754179 Batch=1139, step=14340, lr=0.140500, batch loss=0.128006, epoch loss=2.882186 Batch=1199, step=14400, lr=0.140250, batch loss=0.087128, epoch loss=2.969314 Epoch=11, step=14400, lr=0.140250, epoch loss=2.969314 Batch=59, step=14460, lr=0.140000, batch loss=0.112257, epoch loss=0.112257 Batch=119, step=14520, lr=0.139750, batch loss=0.110354, epoch loss=0.222611 Batch=179, step=14580, lr=0.139500, batch loss=0.104765, epoch loss=0.327376 Batch=239, step=14640, lr=0.139250, batch loss=0.140113, epoch loss=0.467489 Batch=299, step=14700, lr=0.139000, batch loss=0.082421, epoch loss=0.549910 Batch=359, step=14760, lr=0.138750, batch loss=0.122707, epoch loss=0.672617 Batch=419, step=14820, lr=0.138500, batch loss=0.132756, epoch loss=0.805373 Batch=479, step=14880, lr=0.138250, batch loss=0.101705, epoch loss=0.907079 Batch=539, step=14940, lr=0.138000, batch loss=0.106455, epoch loss=1.013534 Batch=599, step=15000, lr=0.137750, batch loss=0.085571, epoch loss=1.099105 Batch=659, step=15060, lr=0.137500, batch loss=0.129822, epoch loss=1.228926 Batch=719, step=15120, lr=0.137250, batch loss=0.130503, epoch loss=1.359429 Batch=779, step=15180, lr=0.137000, batch loss=0.151482, epoch loss=1.510911 Batch=839, step=15240, lr=0.136750, batch loss=0.181332, epoch loss=1.692243 Batch=899, step=15300, lr=0.136500, batch loss=0.307176, epoch loss=1.999419 Batch=959, step=15360, lr=0.136250, batch loss=0.056660, epoch loss=2.056078 Batch=1019, step=15420, lr=0.136000, batch loss=0.128824, epoch loss=2.184903 Batch=1079, step=15480, lr=0.135750, batch loss=0.052308, epoch loss=2.237211 Batch=1139, step=15540, lr=0.135500, batch loss=0.098877, epoch loss=2.336087 Batch=1199, step=15600, lr=0.135250, batch loss=0.062306, epoch loss=2.398394 Epoch=12, step=15600, lr=0.135250, epoch loss=2.398394 Batch=59, step=15660, lr=0.135000, batch loss=0.082122, epoch loss=0.082122 Batch=119, step=15720, lr=0.134750, batch loss=0.110493, epoch loss=0.192615 Batch=179, step=15780, lr=0.134500, batch loss=0.090815, epoch loss=0.283430 Batch=239, step=15840, lr=0.134250, batch loss=0.097076, epoch loss=0.380506 Batch=299, step=15900, lr=0.134000, batch loss=0.041004, epoch loss=0.421510 Batch=359, step=15960, lr=0.133750, batch loss=0.079060, epoch loss=0.500570 Batch=419, step=16020, lr=0.133500, batch loss=0.083572, epoch loss=0.584143 Batch=479, step=16080, lr=0.133250, batch loss=0.071371, epoch loss=0.655514 Batch=539, step=16140, lr=0.133000, batch loss=0.051944, epoch loss=0.707458 Batch=599, step=16200, lr=0.132750, batch loss=0.101114, epoch loss=0.808572 Batch=659, step=16260, lr=0.132500, batch loss=0.079068, epoch loss=0.887641 Batch=719, step=16320, lr=0.132250, batch loss=0.090766, epoch loss=0.978406 Batch=779, step=16380, lr=0.131750, batch loss=0.128629, epoch loss=1.107035 Batch=839, step=16440, lr=0.131750, batch loss=0.118424, epoch loss=1.225459 Batch=899, step=16500, lr=0.131500, batch loss=0.138097, epoch loss=1.363556 Batch=959, step=16560, lr=0.131250, batch loss=0.041273, epoch loss=1.404829 Batch=1019, step=16620, lr=0.131000, batch loss=0.108001, epoch loss=1.512829 Batch=1079, step=16680, lr=0.130750, batch loss=0.025812, epoch loss=1.538642 Batch=1139, step=16740, lr=0.130500, batch loss=0.056492, epoch loss=1.595133 Batch=1199, step=16800, lr=0.130250, batch loss=0.029701, epoch loss=1.624835 Epoch=13, step=16800, lr=0.130250, epoch loss=1.624835 Batch=59, step=16860, lr=0.130000, batch loss=0.039397, epoch loss=0.039397 Batch=119, step=16920, lr=0.129750, batch loss=0.059037, epoch loss=0.098434 Batch=179, step=16980, lr=0.129500, batch loss=0.050149, epoch loss=0.148583 Batch=239, step=17040, lr=0.129250, batch loss=0.067392, epoch loss=0.215976 Batch=299, step=17100, lr=0.129000, batch loss=0.033351, epoch loss=0.249327 Batch=359, step=17160, lr=0.128750, batch loss=0.053565, epoch loss=0.302893 Batch=419, step=17220, lr=0.128500, batch loss=0.102229, epoch loss=0.405122 Batch=479, step=17280, lr=0.128250, batch loss=0.025365, epoch loss=0.430487 Batch=539, step=17340, lr=0.128000, batch loss=0.030439, epoch loss=0.460926 Batch=599, step=17400, lr=0.127750, batch loss=0.048494, epoch loss=0.509420 Batch=659, step=17460, lr=0.127500, batch loss=0.046479, epoch loss=0.555899 Batch=719, step=17520, lr=0.127250, batch loss=0.040686, epoch loss=0.596586 Batch=779, step=17580, lr=0.127000, batch loss=0.052346, epoch loss=0.648932 Batch=839, step=17640, lr=0.126750, batch loss=0.090946, epoch loss=0.739878 Batch=899, step=17700, lr=0.126500, batch loss=0.051734, epoch loss=0.791613 Batch=959, step=17760, lr=0.126250, batch loss=0.019234, epoch loss=0.810847 Batch=1019, step=17820, lr=0.126000, batch loss=0.027425, epoch loss=0.838272 Batch=1079, step=17880, lr=0.125750, batch loss=0.020836, epoch loss=0.859108 Batch=1139, step=17940, lr=0.125500, batch loss=0.043934, epoch loss=0.903042 Batch=1199, step=18000, lr=0.125250, batch loss=0.017608, epoch loss=0.920650 Epoch=14, step=18000, lr=0.125250, epoch loss=0.920650 Batch=59, step=18060, lr=0.125000, batch loss=0.012399, epoch loss=0.012399 Batch=119, step=18120, lr=0.124750, batch loss=0.020115, epoch loss=0.032514 Batch=179, step=18180, lr=0.124500, batch loss=0.030271, epoch loss=0.062785 Batch=239, step=18240, lr=0.124250, batch loss=0.034082, epoch loss=0.096867 Batch=299, step=18300, lr=0.124000, batch loss=0.009988, epoch loss=0.106855 Batch=359, step=18360, lr=0.123750, batch loss=0.025028, epoch loss=0.131883 Batch=419, step=18420, lr=0.123500, batch loss=0.029059, epoch loss=0.160942 Batch=479, step=18480, lr=0.123250, batch loss=0.014577, epoch loss=0.175519 Batch=539, step=18540, lr=0.123000, batch loss=0.021738, epoch loss=0.197257 Batch=599, step=18600, lr=0.122750, batch loss=0.028329, epoch loss=0.225585 Batch=659, step=18660, lr=0.122500, batch loss=0.027484, epoch loss=0.253070 Batch=719, step=18720, lr=0.122250, batch loss=0.027740, epoch loss=0.280809 Batch=779, step=18780, lr=0.122000, batch loss=0.066332, epoch loss=0.347141 Batch=839, step=18840, lr=0.121750, batch loss=0.140933, epoch loss=0.488074 Batch=899, step=18900, lr=0.121500, batch loss=0.037754, epoch loss=0.525828 Batch=959, step=18960, lr=0.121250, batch loss=0.013502, epoch loss=0.539330 Batch=1019, step=19020, lr=0.121000, batch loss=0.022108, epoch loss=0.561438 Batch=1079, step=19080, lr=0.120750, batch loss=0.008392, epoch loss=0.569830 Batch=1139, step=19140, lr=0.120500, batch loss=0.024147, epoch loss=0.593978 Batch=1199, step=19200, lr=0.120250, batch loss=0.010999, epoch loss=0.604976 Epoch=15, step=19200, lr=0.120250, epoch loss=0.604976 Batch=59, step=19260, lr=0.120000, batch loss=0.005819, epoch loss=0.005819 Batch=119, step=19320, lr=0.119750, batch loss=0.015584, epoch loss=0.021402 Batch=179, step=19380, lr=0.119500, batch loss=0.042387, epoch loss=0.063789 Batch=239, step=19440, lr=0.119250, batch loss=0.022390, epoch loss=0.086179 Batch=299, step=19500, lr=0.119000, batch loss=0.005319, epoch loss=0.091498 Batch=359, step=19560, lr=0.118750, batch loss=0.016819, epoch loss=0.108316 Batch=419, step=19620, lr=0.118250, batch loss=0.019974, epoch loss=0.128290 Batch=479, step=19680, lr=0.118250, batch loss=0.009242, epoch loss=0.137532 Batch=539, step=19740, lr=0.118000, batch loss=0.019217, epoch loss=0.156749 Batch=599, step=19800, lr=0.117750, batch loss=0.020845, epoch loss=0.177594 Batch=659, step=19860, lr=0.117500, batch loss=0.020735, epoch loss=0.198329 Batch=719, step=19920, lr=0.117250, batch loss=0.024357, epoch loss=0.222686 Batch=779, step=19980, lr=0.117000, batch loss=0.056257, epoch loss=0.278943 Batch=839, step=20040, lr=0.116750, batch loss=0.040487, epoch loss=0.319430 Batch=899, step=20100, lr=0.116500, batch loss=0.048792, epoch loss=0.368222 Batch=959, step=20160, lr=0.116250, batch loss=0.011172, epoch loss=0.379394 Batch=1019, step=20220, lr=0.116000, batch loss=0.013684, epoch loss=0.393078 Batch=1079, step=20280, lr=0.115750, batch loss=0.003112, epoch loss=0.396190 Batch=1139, step=20340, lr=0.115500, batch loss=0.015314, epoch loss=0.411503 Batch=1199, step=20400, lr=0.115250, batch loss=0.005607, epoch loss=0.417111 Epoch=16, step=20400, lr=0.115250, epoch loss=0.417111 Batch=59, step=20460, lr=0.115000, batch loss=0.003179, epoch loss=0.003179 Batch=119, step=20520, lr=0.114750, batch loss=0.011423, epoch loss=0.014601 Batch=179, step=20580, lr=0.114500, batch loss=0.026666, epoch loss=0.041268 Batch=239, step=20640, lr=0.114250, batch loss=0.015741, epoch loss=0.057009 Batch=299, step=20700, lr=0.114000, batch loss=0.003683, epoch loss=0.060692 Batch=359, step=20760, lr=0.113750, batch loss=0.013563, epoch loss=0.074254 Batch=419, step=20820, lr=0.113500, batch loss=0.017744, epoch loss=0.091999 Batch=479, step=20880, lr=0.113250, batch loss=0.004416, epoch loss=0.096414 Batch=539, step=20940, lr=0.113000, batch loss=0.015624, epoch loss=0.112038 Batch=599, step=21000, lr=0.112750, batch loss=0.018964, epoch loss=0.131002 Batch=659, step=21060, lr=0.112500, batch loss=0.016487, epoch loss=0.147489 Batch=719, step=21120, lr=0.112250, batch loss=0.055551, epoch loss=0.203039 Batch=779, step=21180, lr=0.112000, batch loss=0.069988, epoch loss=0.273027 Batch=839, step=21240, lr=0.111750, batch loss=0.025993, epoch loss=0.299020 Batch=899, step=21300, lr=0.111500, batch loss=0.030618, epoch loss=0.329637 Batch=959, step=21360, lr=0.111250, batch loss=0.009914, epoch loss=0.339552 Batch=1019, step=21420, lr=0.111000, batch loss=0.011019, epoch loss=0.350571 Batch=1079, step=21480, lr=0.110750, batch loss=0.001332, epoch loss=0.351903 Batch=1139, step=21540, lr=0.110500, batch loss=0.012869, epoch loss=0.364772 Batch=1199, step=21600, lr=0.110250, batch loss=0.005033, epoch loss=0.369805 Epoch=17, step=21600, lr=0.110250, epoch loss=0.369805 Batch=59, step=21660, lr=0.110000, batch loss=0.002749, epoch loss=0.002749 Batch=119, step=21720, lr=0.109750, batch loss=0.007201, epoch loss=0.009950 Batch=179, step=21780, lr=0.109500, batch loss=0.013468, epoch loss=0.023418 Batch=239, step=21840, lr=0.109250, batch loss=0.010452, epoch loss=0.033871 Batch=299, step=21900, lr=0.109000, batch loss=0.001949, epoch loss=0.035820 Batch=359, step=21960, lr=0.108750, batch loss=0.010916, epoch loss=0.046735 Batch=419, step=22020, lr=0.108500, batch loss=0.011863, epoch loss=0.058598 Batch=479, step=22080, lr=0.108250, batch loss=0.003932, epoch loss=0.062529 Batch=539, step=22140, lr=0.108000, batch loss=0.015304, epoch loss=0.077833 Batch=599, step=22200, lr=0.107750, batch loss=0.015419, epoch loss=0.093252 Batch=659, step=22260, lr=0.107500, batch loss=0.013069, epoch loss=0.106321 Batch=719, step=22320, lr=0.107250, batch loss=0.027171, epoch loss=0.133492 Batch=779, step=22380, lr=0.107000, batch loss=0.040594, epoch loss=0.174087 Batch=839, step=22440, lr=0.106750, batch loss=0.022501, epoch loss=0.196588 Batch=899, step=22500, lr=0.106500, batch loss=0.021094, epoch loss=0.217682 Batch=959, step=22560, lr=0.106250, batch loss=0.010642, epoch loss=0.228324 Batch=1019, step=22620, lr=0.106000, batch loss=0.010247, epoch loss=0.238571 Batch=1079, step=22680, lr=0.105750, batch loss=0.000551, epoch loss=0.239122 Batch=1139, step=22740, lr=0.105500, batch loss=0.010294, epoch loss=0.249416 Batch=1199, step=22800, lr=0.105250, batch loss=0.004392, epoch loss=0.253808 Epoch=18, step=22800, lr=0.105250, epoch loss=0.253808 Batch=59, step=22860, lr=0.105000, batch loss=0.001329, epoch loss=0.001329 Batch=119, step=22920, lr=0.104750, batch loss=0.005582, epoch loss=0.006910 Batch=179, step=22980, lr=0.104500, batch loss=0.011164, epoch loss=0.018074 Batch=239, step=23040, lr=0.104250, batch loss=0.008533, epoch loss=0.026607 Batch=299, step=23100, lr=0.104000, batch loss=0.008375, epoch loss=0.034982 Batch=359, step=23160, lr=0.103750, batch loss=0.012449, epoch loss=0.047431 Batch=419, step=23220, lr=0.103500, batch loss=0.010521, epoch loss=0.057953 Batch=479, step=23280, lr=0.103250, batch loss=0.002805, epoch loss=0.060758 Batch=539, step=23340, lr=0.103000, batch loss=0.016993, epoch loss=0.077752 Batch=599, step=23400, lr=0.102750, batch loss=0.013961, epoch loss=0.091713 Batch=659, step=23460, lr=0.102500, batch loss=0.011390, epoch loss=0.103103 Batch=719, step=23520, lr=0.102250, batch loss=0.014943, epoch loss=0.118046 Batch=779, step=23580, lr=0.102000, batch loss=0.023807, epoch loss=0.141852 Batch=839, step=23640, lr=0.101750, batch loss=0.027211, epoch loss=0.169064 Batch=899, step=23700, lr=0.101500, batch loss=0.021583, epoch loss=0.190647 Batch=959, step=23760, lr=0.101250, batch loss=0.008132, epoch loss=0.198778 Batch=1019, step=23820, lr=0.101000, batch loss=0.008726, epoch loss=0.207504 Batch=1079, step=23880, lr=0.100750, batch loss=0.001664, epoch loss=0.209168 Batch=1139, step=23940, lr=0.100500, batch loss=0.008465, epoch loss=0.217634 Batch=1199, step=24000, lr=0.100250, batch loss=0.004730, epoch loss=0.222364 Epoch=19, step=24000, lr=0.100250, epoch loss=0.222364 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 19:31.06: Job failed: Failed: Build failed