2025-05-21 20:01.19: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (edd537ac0754eda373e727b1fa5e1c23fbf45de0) (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 edd537ac 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 20:01.19: 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 20:01.19: 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 20:01.19: Waiting for resource in pool OCluster 2025-05-21 20:01.19: Waiting for worker… 2025-05-21 20:02.18: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at edd537ac Tiny cleanup: no more advance_captured_logs (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571) 2025-05-21 20:02.19 ---> 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 20:02.19 ---> 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 20:02.19 ---> 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 20:02.19 ---> using "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 20:02.19 ---> 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..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 20:02.19 ---> using "43e1dee62347055f32b5e04bae0991aab5ce6fbd71d6ccffe3f2b2126c80ab66" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 20:02.19 ---> 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 20:02.19 ---> using "e484c0ab1208933935ea99bc70598cee6208e193d41df8fe48f1fb4eab086d7d" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 20:02.19 ---> 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 - v3.21.3-509-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 20:02.19 ---> 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 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 20:02.19 ---> using "1c1d960bdfaefe8d5590710d6f1d52afada17a543b319751a275d7b1643adabf" from cache /src: (copy (src .) (dst /src)) 2025-05-21 20:02.22 ---> saved as "6e7172a3983e729b37f31e409e8697dc48a7f35eacc421ba11d4dbdccef0b0bc" /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.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/6ed852e0fb903b610b06f1c9f04d8de7/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/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=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.198750, batch loss=1.446818, epoch loss=37.063303 Batch=359, step=360, lr=0.198750, batch loss=1.335177, epoch loss=38.398480 Batch=419, step=420, lr=0.198500, batch loss=0.615725, epoch loss=39.014205 Batch=479, step=480, lr=0.198250, batch loss=0.810396, epoch loss=39.824600 Batch=539, step=540, lr=0.198000, batch loss=0.709521, epoch loss=40.534122 Batch=599, step=600, lr=0.197500, batch loss=1.069805, epoch loss=41.603927 Batch=659, step=660, lr=0.197500, batch loss=0.482249, epoch loss=42.086176 Batch=719, step=720, lr=0.197250, batch loss=0.411123, epoch loss=42.497299 Batch=779, step=780, lr=0.197000, batch loss=0.469424, epoch loss=42.966723 Batch=839, step=840, lr=0.196500, batch loss=0.443749, epoch loss=43.410472 Batch=899, step=900, lr=0.196250, batch loss=0.383199, epoch loss=43.793671 Batch=959, step=960, lr=0.196000, batch loss=0.242329, epoch loss=44.036000 Batch=1019, step=1020, lr=0.196000, batch loss=0.457175, epoch loss=44.493174 Batch=1079, step=1080, lr=0.195500, batch loss=0.252464, epoch loss=44.745638 Batch=1139, step=1140, lr=0.195500, batch loss=0.328978, epoch loss=45.074617 Batch=1199, step=1200, lr=0.195000, batch loss=0.264233, epoch loss=45.338850 Epoch=0, step=1200, lr=0.195000, epoch loss=45.338850 Batch=59, step=1260, lr=0.194750, batch loss=0.262932, epoch loss=0.262932 Batch=119, step=1320, lr=0.194750, batch loss=0.204129, epoch loss=0.467060 Batch=179, step=1380, lr=0.194500, batch loss=0.244119, epoch loss=0.711179 Batch=239, step=1440, lr=0.194250, batch loss=0.347415, epoch loss=1.058594 Batch=299, step=1500, lr=0.194000, batch loss=0.238180, epoch loss=1.296774 Batch=359, step=1560, lr=0.193750, batch loss=0.311468, epoch loss=1.608242 Batch=419, step=1620, lr=0.193500, batch loss=0.309869, epoch loss=1.918111 Batch=479, step=1680, lr=0.193000, batch loss=0.276048, epoch loss=2.194160 Batch=539, step=1740, lr=0.193000, batch loss=0.210876, epoch loss=2.405036 Batch=599, step=1800, lr=0.192750, batch loss=0.251630, epoch loss=2.656666 Batch=659, step=1860, lr=0.192500, batch loss=0.369448, epoch loss=3.026114 Batch=719, step=1920, lr=0.192000, batch loss=0.364656, epoch loss=3.390770 Batch=779, step=1980, lr=0.192000, batch loss=0.383306, epoch loss=3.774076 Batch=839, step=2040, lr=0.191750, batch loss=0.342232, epoch loss=4.116308 Batch=899, step=2100, lr=0.191500, batch loss=0.308537, epoch loss=4.424845 Batch=959, step=2160, lr=0.191250, batch loss=0.235029, epoch loss=4.659874 Batch=1019, step=2220, lr=0.190750, batch loss=0.361274, epoch loss=5.021148 Batch=1079, step=2280, lr=0.190500, batch loss=0.229856, epoch loss=5.251004 Batch=1139, step=2340, lr=0.190250, batch loss=0.281633, epoch loss=5.532637 Batch=1199, step=2400, lr=0.190250, batch loss=0.219084, epoch loss=5.751721 Epoch=1, step=2400, lr=0.190250, epoch loss=5.751721 Batch=59, step=2460, lr=0.190000, batch loss=0.230891, epoch loss=0.230891 Batch=119, step=2520, lr=0.189750, batch loss=0.191740, epoch loss=0.422631 Batch=179, step=2580, lr=0.189500, batch loss=0.221612, epoch loss=0.644243 Batch=239, step=2640, lr=0.189250, batch loss=0.337980, epoch loss=0.982223 Batch=299, step=2700, lr=0.189000, batch loss=0.213628, epoch loss=1.195851 Batch=359, step=2760, lr=0.188750, batch loss=0.294919, epoch loss=1.490770 Batch=419, step=2820, lr=0.188500, batch loss=0.283235, epoch loss=1.774005 Batch=479, step=2880, lr=0.188250, batch loss=0.261862, epoch loss=2.035867 Batch=539, step=2940, lr=0.188000, batch loss=0.200233, epoch loss=2.236100 Batch=599, step=3000, lr=0.187500, batch loss=0.244509, epoch loss=2.480609 Batch=659, step=3060, lr=0.187250, batch loss=0.345922, epoch loss=2.826532 Batch=719, step=3120, lr=0.187250, batch loss=0.342662, epoch loss=3.169194 Batch=779, step=3180, lr=0.186750, batch loss=0.367683, epoch loss=3.536877 Batch=839, step=3240, lr=0.186500, batch loss=0.323435, epoch loss=3.860311 Batch=899, step=3300, lr=0.186500, batch loss=0.282322, epoch loss=4.142633 Batch=959, step=3360, lr=0.186250, batch loss=0.206601, epoch loss=4.349235 Batch=1019, step=3420, lr=0.185750, batch loss=0.312142, epoch loss=4.661376 Batch=1079, step=3480, lr=0.185500, batch loss=0.189711, epoch loss=4.851088 Batch=1139, step=3540, lr=0.185500, batch loss=0.228345, epoch loss=5.079432 Batch=1199, step=3600, lr=0.185000, batch loss=0.205400, epoch loss=5.284832 Epoch=2, step=3600, lr=0.185000, epoch loss=5.284832 Batch=59, step=3660, lr=0.184750, batch loss=0.229009, epoch loss=0.229009 Batch=119, step=3720, lr=0.184750, batch loss=0.193205, epoch loss=0.422214 Batch=179, step=3780, lr=0.184250, batch loss=0.210975, epoch loss=0.633190 Batch=239, step=3840, lr=0.184000, batch loss=0.316057, epoch loss=0.949247 Batch=299, step=3900, lr=0.184000, batch loss=0.206133, epoch loss=1.155380 Batch=359, step=3960, lr=0.183750, batch loss=0.281229, epoch loss=1.436608 Batch=419, step=4020, lr=0.183500, batch loss=0.272346, epoch loss=1.708954 Batch=479, step=4080, lr=0.183250, batch loss=0.248576, epoch loss=1.957530 Batch=539, step=4140, lr=0.183000, batch loss=0.195803, epoch loss=2.153333 Batch=599, step=4200, lr=0.182750, batch loss=0.242065, epoch loss=2.395398 Batch=659, step=4260, lr=0.182250, batch loss=0.328079, epoch loss=2.723477 Batch=719, step=4320, lr=0.182250, batch loss=0.334598, epoch loss=3.058075 Batch=779, step=4380, lr=0.182000, batch loss=0.353976, epoch loss=3.412050 Batch=839, step=4440, lr=0.181500, batch loss=0.314298, epoch loss=3.726348 Batch=899, step=4500, lr=0.181500, batch loss=0.289330, epoch loss=4.015678 Batch=959, step=4560, lr=0.181250, batch loss=0.245019, epoch loss=4.260697 Batch=1019, step=4620, lr=0.181000, batch loss=0.348049, epoch loss=4.608746 Batch=1079, step=4680, lr=0.180750, batch loss=0.215578, epoch loss=4.824324 Batch=1139, step=4740, lr=0.180250, batch loss=0.250952, epoch loss=5.075276 Batch=1199, step=4800, lr=0.180250, batch loss=0.191358, epoch loss=5.266634 Epoch=3, step=4800, lr=0.180250, epoch loss=5.266634 Batch=59, step=4860, lr=0.179750, batch loss=0.222494, epoch loss=0.222494 Batch=119, step=4920, lr=0.179750, batch loss=0.188038, epoch loss=0.410531 Batch=179, step=4980, lr=0.179500, batch loss=0.205958, epoch loss=0.616489 Batch=239, step=5040, lr=0.179250, batch loss=0.310336, epoch loss=0.926825 Batch=299, step=5100, lr=0.179000, batch loss=0.211214, epoch loss=1.138039 Batch=359, step=5160, lr=0.178750, batch loss=0.283257, epoch loss=1.421297 Batch=419, step=5220, lr=0.178500, batch loss=0.277172, epoch loss=1.698469 Batch=479, step=5280, lr=0.178250, batch loss=0.244533, epoch loss=1.943002 Batch=539, step=5340, lr=0.178000, batch loss=0.189910, epoch loss=2.132912 Batch=599, step=5400, lr=0.177750, batch loss=0.230004, epoch loss=2.362916 Batch=659, step=5460, lr=0.177500, batch loss=0.322639, epoch loss=2.685555 Batch=719, step=5520, lr=0.177250, batch loss=0.322067, epoch loss=3.007623 Batch=779, step=5580, lr=0.177000, batch loss=0.341117, epoch loss=3.348740 Batch=839, step=5640, lr=0.176750, batch loss=0.311611, epoch loss=3.660351 Batch=899, step=5700, lr=0.176500, batch loss=0.271866, epoch loss=3.932218 Batch=959, step=5760, lr=0.176250, batch loss=0.219757, epoch loss=4.151974 Batch=1019, step=5820, lr=0.176000, batch loss=0.336024, epoch loss=4.487998 Batch=1079, step=5880, lr=0.175750, batch loss=0.193686, epoch loss=4.681684 Batch=1139, step=5940, lr=0.175500, batch loss=0.223251, epoch loss=4.904934 Batch=1199, step=6000, lr=0.175250, batch loss=0.188427, epoch loss=5.093361 Epoch=4, step=6000, lr=0.175250, epoch loss=5.093361 Batch=59, step=6060, lr=0.175000, batch loss=0.236148, epoch loss=0.236148 Batch=119, step=6120, lr=0.174750, batch loss=0.189853, epoch loss=0.426000 Batch=179, step=6180, lr=0.174500, batch loss=0.201617, epoch loss=0.627618 Batch=239, step=6240, lr=0.174250, batch loss=0.300423, epoch loss=0.928040 Batch=299, step=6300, lr=0.174000, batch loss=0.206396, epoch loss=1.134437 Batch=359, step=6360, lr=0.173750, batch loss=0.266916, epoch loss=1.401352 Batch=419, step=6420, lr=0.173500, batch loss=0.265069, epoch loss=1.666421 Batch=479, step=6480, lr=0.173250, batch loss=0.243575, epoch loss=1.909996 Batch=539, step=6540, lr=0.173000, batch loss=0.192548, epoch loss=2.102545 Batch=599, step=6600, lr=0.172750, batch loss=0.229096, epoch loss=2.331641 Batch=659, step=6660, lr=0.172500, batch loss=0.315879, epoch loss=2.647520 Batch=719, step=6720, lr=0.172250, batch loss=0.316931, epoch loss=2.964451 Batch=779, step=6780, lr=0.172000, batch loss=0.331758, epoch loss=3.296209 Batch=839, step=6840, lr=0.171750, batch loss=0.305609, epoch loss=3.601818 Batch=899, step=6900, lr=0.171250, batch loss=0.265960, epoch loss=3.867778 Batch=959, step=6960, lr=0.171250, batch loss=0.216611, epoch loss=4.084389 Batch=1019, step=7020, lr=0.171000, batch loss=0.324687, epoch loss=4.409076 Batch=1079, step=7080, lr=0.170750, batch loss=0.175583, epoch loss=4.584659 Batch=1139, step=7140, lr=0.170500, batch loss=0.212976, epoch loss=4.797635 Batch=1199, step=7200, lr=0.170250, batch loss=0.194803, epoch loss=4.992438 Epoch=5, step=7200, lr=0.170250, epoch loss=4.992438 Batch=59, step=7260, lr=0.170000, batch loss=0.239162, epoch loss=0.239162 Batch=119, step=7320, lr=0.169750, batch loss=0.180536, epoch loss=0.419698 Batch=179, step=7380, lr=0.169500, batch loss=0.194592, epoch loss=0.614291 Batch=239, step=7440, lr=0.169250, batch loss=0.291192, epoch loss=0.905482 Batch=299, step=7500, lr=0.169000, batch loss=0.207866, epoch loss=1.113348 Batch=359, step=7560, lr=0.168500, batch loss=0.261404, epoch loss=1.374752 Batch=419, step=7620, lr=0.168500, batch loss=0.253988, epoch loss=1.628740 Batch=479, step=7680, lr=0.168250, batch loss=0.232494, epoch loss=1.861234 Batch=539, step=7740, lr=0.168000, batch loss=0.185481, epoch loss=2.046716 Batch=599, step=7800, lr=0.167750, batch loss=0.228029, epoch loss=2.274745 Batch=659, step=7860, lr=0.167500, batch loss=0.304521, epoch loss=2.579266 Batch=719, step=7920, lr=0.167250, batch loss=0.309413, epoch loss=2.888679 Batch=779, step=7980, lr=0.167000, batch loss=0.329989, epoch loss=3.218667 Batch=839, step=8040, lr=0.166750, batch loss=0.292570, epoch loss=3.511237 Batch=899, step=8100, lr=0.166500, batch loss=0.263745, epoch loss=3.774982 Batch=959, step=8160, lr=0.166000, batch loss=0.198403, epoch loss=3.973385 Batch=1019, step=8220, lr=0.166000, batch loss=0.323380, epoch loss=4.296765 Batch=1079, step=8280, lr=0.165750, batch loss=0.189267, epoch loss=4.486032 Batch=1139, step=8340, lr=0.165500, batch loss=0.214049, epoch loss=4.700081 Batch=1199, step=8400, lr=0.165000, batch loss=0.172803, epoch loss=4.872884 Epoch=6, step=8400, lr=0.165000, epoch loss=4.872884 Batch=59, step=8460, lr=0.165000, batch loss=0.214253, epoch loss=0.214253 Batch=119, step=8520, lr=0.164500, batch loss=0.176394, epoch loss=0.390647 Batch=179, step=8580, lr=0.164500, batch loss=0.188921, epoch loss=0.579568 Batch=239, step=8640, lr=0.164000, batch loss=0.279860, epoch loss=0.859428 Batch=299, step=8700, lr=0.163750, batch loss=0.191130, epoch loss=1.050557 Batch=359, step=8760, lr=0.163750, batch loss=0.249517, epoch loss=1.300075 Batch=419, step=8820, lr=0.163250, batch loss=0.245783, epoch loss=1.545858 Batch=479, step=8880, lr=0.163000, batch loss=0.228725, epoch loss=1.774583 Batch=539, step=8940, lr=0.162750, batch loss=0.178590, epoch loss=1.953173 Batch=599, step=9000, lr=0.162500, batch loss=0.217784, epoch loss=2.170957 Batch=659, step=9060, lr=0.162250, batch loss=0.295292, epoch loss=2.466249 Batch=719, step=9120, lr=0.162000, batch loss=0.297437, epoch loss=2.763686 Batch=779, step=9180, lr=0.162000, batch loss=0.316143, epoch loss=3.079828 Batch=839, step=9240, lr=0.161750, batch loss=0.281858, epoch loss=3.361687 Batch=899, step=9300, lr=0.161500, batch loss=0.254192, epoch loss=3.615879 Batch=959, step=9360, lr=0.161250, batch loss=0.208760, epoch loss=3.824639 Batch=1019, step=9420, lr=0.161000, batch loss=0.299086, epoch loss=4.123726 Batch=1079, step=9480, lr=0.160750, batch loss=0.174506, epoch loss=4.298232 Batch=1139, step=9540, lr=0.160500, batch loss=0.200733, epoch loss=4.498965 Batch=1199, step=9600, lr=0.160250, batch loss=0.165444, epoch loss=4.664409 Epoch=7, step=9600, lr=0.160250, epoch loss=4.664409 Batch=59, step=9660, lr=0.160000, batch loss=0.189714, epoch loss=0.189714 Batch=119, step=9720, lr=0.159750, batch loss=0.163781, epoch loss=0.353494 Batch=179, step=9780, lr=0.159500, batch loss=0.178806, epoch loss=0.532300 Batch=239, step=9840, lr=0.159250, batch loss=0.261493, epoch loss=0.793793 Batch=299, step=9900, lr=0.159000, batch loss=0.185995, epoch loss=0.979788 Batch=359, step=9960, lr=0.158750, batch loss=0.244779, epoch loss=1.224567 Batch=419, step=10020, lr=0.158250, batch loss=0.243606, epoch loss=1.468173 Batch=479, step=10080, lr=0.158250, batch loss=0.223697, epoch loss=1.691870 Batch=539, step=10140, lr=0.158000, batch loss=0.171897, epoch loss=1.863767 Batch=599, step=10200, lr=0.157500, batch loss=0.205611, epoch loss=2.069378 Batch=659, step=10260, lr=0.157500, batch loss=0.280233, epoch loss=2.349611 Batch=719, step=10320, lr=0.157000, batch loss=0.282141, epoch loss=2.631751 Batch=779, step=10380, lr=0.157000, batch loss=0.293469, epoch loss=2.925220 Batch=839, step=10440, lr=0.156750, batch loss=0.270975, epoch loss=3.196194 Batch=899, step=10500, lr=0.156250, batch loss=0.238507, epoch loss=3.434702 Batch=959, step=10560, lr=0.156250, batch loss=0.178769, epoch loss=3.613470 Batch=1019, step=10620, lr=0.156000, batch loss=0.299606, epoch loss=3.913076 Batch=1079, step=10680, lr=0.155500, batch loss=0.180004, epoch loss=4.093080 Batch=1139, step=10740, lr=0.155500, batch loss=0.195224, epoch loss=4.288304 Batch=1199, step=10800, lr=0.155250, batch loss=0.156273, epoch loss=4.444576 Epoch=8, step=10800, lr=0.155250, epoch loss=4.444576 Batch=59, step=10860, lr=0.155000, batch loss=0.181712, epoch loss=0.181712 Batch=119, step=10920, lr=0.154750, batch loss=0.150833, epoch loss=0.332545 Batch=179, step=10980, lr=0.154500, batch loss=0.166367, epoch loss=0.498912 Batch=239, step=11040, lr=0.154250, batch loss=0.243037, epoch loss=0.741948 Batch=299, step=11100, lr=0.154000, batch loss=0.171671, epoch loss=0.913619 Batch=359, step=11160, lr=0.153750, batch loss=0.222231, epoch loss=1.135850 Batch=419, step=11220, lr=0.153250, batch loss=0.215681, epoch loss=1.351531 Batch=479, step=11280, lr=0.153000, batch loss=0.205371, epoch loss=1.556903 Batch=539, step=11340, lr=0.153000, batch loss=0.158320, epoch loss=1.715223 Batch=599, step=11400, lr=0.152750, batch loss=0.181936, epoch loss=1.897158 Batch=659, step=11460, lr=0.152500, batch loss=0.264029, epoch loss=2.161188 Batch=719, step=11520, lr=0.152250, batch loss=0.260709, epoch loss=2.421897 Batch=779, step=11580, lr=0.152000, batch loss=0.270704, epoch loss=2.692601 Batch=839, step=11640, lr=0.151750, batch loss=0.251743, epoch loss=2.944344 Batch=899, step=11700, lr=0.151500, batch loss=0.218894, epoch loss=3.163238 Batch=959, step=11760, lr=0.151250, batch loss=0.172336, epoch loss=3.335575 Batch=1019, step=11820, lr=0.151000, batch loss=0.261304, epoch loss=3.596879 Batch=1079, step=11880, lr=0.150500, batch loss=0.144359, epoch loss=3.741237 Batch=1139, step=11940, lr=0.150250, batch loss=0.181560, epoch loss=3.922797 Batch=1199, step=12000, lr=0.150000, batch loss=0.140633, epoch loss=4.063431 Epoch=9, step=12000, lr=0.150000, epoch loss=4.063431 Batch=59, step=12060, lr=0.149750, batch loss=0.162500, epoch loss=0.162500 Batch=119, step=12120, lr=0.149750, batch loss=0.137545, epoch loss=0.300045 Batch=179, step=12180, lr=0.149500, batch loss=0.151798, epoch loss=0.451843 Batch=239, step=12240, lr=0.149250, batch loss=0.220446, epoch loss=0.672288 Batch=299, step=12300, lr=0.149000, batch loss=0.144790, epoch loss=0.817078 Batch=359, step=12360, lr=0.148750, batch loss=0.199243, epoch loss=1.016321 Batch=419, step=12420, lr=0.148500, batch loss=0.207823, epoch loss=1.224144 Batch=479, step=12480, lr=0.148250, batch loss=0.180402, epoch loss=1.404545 Batch=539, step=12540, lr=0.148000, batch loss=0.143880, epoch loss=1.548425 Batch=599, step=12600, lr=0.147750, batch loss=0.150855, epoch loss=1.699280 Batch=659, step=12660, lr=0.147500, batch loss=0.227660, epoch loss=1.926940 Batch=719, step=12720, lr=0.147250, batch loss=0.236168, epoch loss=2.163107 Batch=779, step=12780, lr=0.146750, batch loss=0.258236, epoch loss=2.421343 Batch=839, step=12840, lr=0.146500, batch loss=0.234828, epoch loss=2.656171 Batch=899, step=12900, lr=0.146500, batch loss=0.224099, epoch loss=2.880271 Batch=959, step=12960, lr=0.146250, batch loss=0.148799, epoch loss=3.029070 Batch=1019, step=13020, lr=0.146000, batch loss=0.258069, epoch loss=3.287139 Batch=1079, step=13080, lr=0.145750, batch loss=0.114010, epoch loss=3.401150 Batch=1139, step=13140, lr=0.145500, batch loss=0.151420, epoch loss=3.552570 Batch=1199, step=13200, lr=0.145000, batch loss=0.118245, epoch loss=3.670815 Epoch=10, step=13200, lr=0.145000, epoch loss=3.670815 Batch=59, step=13260, lr=0.145000, batch loss=0.139188, epoch loss=0.139188 Batch=119, step=13320, lr=0.144750, batch loss=0.118299, epoch loss=0.257487 Batch=179, step=13380, lr=0.144500, batch loss=0.129483, epoch loss=0.386970 Batch=239, step=13440, lr=0.144250, batch loss=0.187582, epoch loss=0.574552 Batch=299, step=13500, lr=0.144000, batch loss=0.119034, epoch loss=0.693587 Batch=359, step=13560, lr=0.143750, batch loss=0.160926, epoch loss=0.854513 Batch=419, step=13620, lr=0.143500, batch loss=0.158634, epoch loss=1.013147 Batch=479, step=13680, lr=0.143250, batch loss=0.142989, epoch loss=1.156136 Batch=539, step=13740, lr=0.143000, batch loss=0.123516, epoch loss=1.279652 Batch=599, step=13800, lr=0.142500, batch loss=0.121647, epoch loss=1.401299 Batch=659, step=13860, lr=0.142250, batch loss=0.178570, epoch loss=1.579869 Batch=719, step=13920, lr=0.142000, batch loss=0.179900, epoch loss=1.759769 Batch=779, step=13980, lr=0.142000, batch loss=0.198409, epoch loss=1.958178 Batch=839, step=14040, lr=0.141750, batch loss=0.187531, epoch loss=2.145709 Batch=899, step=14100, lr=0.141500, batch loss=0.161384, epoch loss=2.307093 Batch=959, step=14160, lr=0.141000, batch loss=0.130835, epoch loss=2.437927 Batch=1019, step=14220, lr=0.141000, batch loss=0.270403, epoch loss=2.708331 Batch=1079, step=14280, lr=0.140750, batch loss=0.086418, epoch loss=2.794749 Batch=1139, step=14340, lr=0.140250, batch loss=0.133781, epoch loss=2.928530 Batch=1199, step=14400, lr=0.140000, batch loss=0.091769, epoch loss=3.020298 Epoch=11, step=14400, lr=0.140000, epoch loss=3.020298 Batch=59, step=14460, lr=0.140000, batch loss=0.112232, epoch loss=0.112232 Batch=119, step=14520, lr=0.139500, batch loss=0.102276, epoch loss=0.214509 Batch=179, step=14580, lr=0.139500, batch loss=0.104807, epoch loss=0.319315 Batch=239, step=14640, lr=0.139250, batch loss=0.141595, epoch loss=0.460910 Batch=299, step=14700, lr=0.139000, batch loss=0.082431, epoch loss=0.543342 Batch=359, step=14760, lr=0.138500, batch loss=0.122740, epoch loss=0.666082 Batch=419, step=14820, lr=0.138500, batch loss=0.132404, epoch loss=0.798486 Batch=479, step=14880, lr=0.138250, batch loss=0.103243, epoch loss=0.901729 Batch=539, step=14940, lr=0.138000, batch loss=0.105158, epoch loss=1.006887 Batch=599, step=15000, lr=0.137750, batch loss=0.086266, epoch loss=1.093153 Batch=659, step=15060, lr=0.137500, batch loss=0.129810, epoch loss=1.222963 Batch=719, step=15120, lr=0.137250, batch loss=0.132845, epoch loss=1.355807 Batch=779, step=15180, lr=0.137000, batch loss=0.162875, epoch loss=1.518682 Batch=839, step=15240, lr=0.136750, batch loss=0.158090, epoch loss=1.676773 Batch=899, step=15300, lr=0.136500, batch loss=0.246790, epoch loss=1.923562 Batch=959, step=15360, lr=0.136250, batch loss=0.056207, epoch loss=1.979769 Batch=1019, step=15420, lr=0.136000, batch loss=0.135372, epoch loss=2.115141 Batch=1079, step=15480, lr=0.135750, batch loss=0.047467, epoch loss=2.162609 Batch=1139, step=15540, lr=0.135500, batch loss=0.110639, epoch loss=2.273248 Batch=1199, step=15600, lr=0.135250, batch loss=0.059687, epoch loss=2.332935 Epoch=12, step=15600, lr=0.135250, epoch loss=2.332935 Batch=59, step=15660, lr=0.135000, batch loss=0.088336, epoch loss=0.088336 Batch=119, step=15720, lr=0.134750, batch loss=0.145846, epoch loss=0.234182 Batch=179, step=15780, lr=0.134500, batch loss=0.103238, epoch loss=0.337420 Batch=239, step=15840, lr=0.134250, batch loss=0.101821, epoch loss=0.439241 Batch=299, step=15900, lr=0.134000, batch loss=0.045375, epoch loss=0.484616 Batch=359, step=15960, lr=0.133750, batch loss=0.083889, epoch loss=0.568505 Batch=419, step=16020, lr=0.133500, batch loss=0.079926, epoch loss=0.648431 Batch=479, step=16080, lr=0.133250, batch loss=0.056741, epoch loss=0.705172 Batch=539, step=16140, lr=0.133000, batch loss=0.075565, epoch loss=0.780736 Batch=599, step=16200, lr=0.132750, batch loss=0.167534, epoch loss=0.948271 Batch=659, step=16260, lr=0.132250, batch loss=0.098048, epoch loss=1.046318 Batch=719, step=16320, lr=0.132000, batch loss=0.130151, epoch loss=1.176470 Batch=779, step=16380, lr=0.132000, batch loss=0.284068, epoch loss=1.460537 Batch=839, step=16440, lr=0.131750, batch loss=0.093768, epoch loss=1.554305 Batch=899, step=16500, lr=0.131250, batch loss=0.079112, epoch loss=1.633417 Batch=959, step=16560, lr=0.131250, batch loss=0.031925, epoch loss=1.665342 Batch=1019, step=16620, lr=0.131000, batch loss=0.065189, epoch loss=1.730531 Batch=1079, step=16680, lr=0.130750, batch loss=0.054419, epoch loss=1.784950 Batch=1139, step=16740, lr=0.130500, batch loss=0.093267, epoch loss=1.878216 Batch=1199, step=16800, lr=0.130250, batch loss=0.044871, epoch loss=1.923087 Epoch=13, step=16800, lr=0.130250, epoch loss=1.923087 Batch=59, step=16860, lr=0.130000, batch loss=0.038228, epoch loss=0.038228 Batch=119, step=16920, lr=0.129750, batch loss=0.036877, epoch loss=0.075105 Batch=179, step=16980, lr=0.129500, batch loss=0.044184, epoch loss=0.119289 Batch=239, step=17040, lr=0.129250, batch loss=0.062314, epoch loss=0.181603 Batch=299, step=17100, lr=0.129000, batch loss=0.031663, epoch loss=0.213266 Batch=359, step=17160, lr=0.128750, batch loss=0.045400, epoch loss=0.258667 Batch=419, step=17220, lr=0.128500, batch loss=0.067148, epoch loss=0.325814 Batch=479, step=17280, lr=0.128000, batch loss=0.024683, epoch loss=0.350497 Batch=539, step=17340, lr=0.128000, batch loss=0.028765, epoch loss=0.379263 Batch=599, step=17400, lr=0.127750, batch loss=0.034897, epoch loss=0.414159 Batch=659, step=17460, lr=0.127500, batch loss=0.047068, epoch loss=0.461228 Batch=719, step=17520, lr=0.127250, batch loss=0.056950, epoch loss=0.518178 Batch=779, step=17580, lr=0.127000, batch loss=0.078045, epoch loss=0.596222 Batch=839, step=17640, lr=0.126500, batch loss=0.167431, epoch loss=0.763654 Batch=899, step=17700, lr=0.126500, batch loss=0.065084, epoch loss=0.828738 Batch=959, step=17760, lr=0.126250, batch loss=0.024212, epoch loss=0.852949 Batch=1019, step=17820, lr=0.125750, batch loss=0.038586, epoch loss=0.891535 Batch=1079, step=17880, lr=0.125750, batch loss=0.020402, epoch loss=0.911938 Batch=1139, step=17940, lr=0.125250, batch loss=0.048977, epoch loss=0.960914 Batch=1199, step=18000, lr=0.125000, batch loss=0.020162, epoch loss=0.981077 Epoch=14, step=18000, lr=0.125000, epoch loss=0.981077 Batch=59, step=18060, lr=0.124750, batch loss=0.012940, epoch loss=0.012940 Batch=119, step=18120, lr=0.124500, batch loss=0.020028, epoch loss=0.032968 Batch=179, step=18180, lr=0.124500, batch loss=0.029521, epoch loss=0.062489 Batch=239, step=18240, lr=0.124250, batch loss=0.040004, epoch loss=0.102493 Batch=299, step=18300, lr=0.124000, batch loss=0.017518, epoch loss=0.120011 Batch=359, step=18360, lr=0.123500, batch loss=0.024769, epoch loss=0.144780 Batch=419, step=18420, lr=0.123500, batch loss=0.036808, epoch loss=0.181588 Batch=479, step=18480, lr=0.123000, batch loss=0.020226, epoch loss=0.201814 Batch=539, step=18540, lr=0.123000, batch loss=0.048630, epoch loss=0.250444 Batch=599, step=18600, lr=0.122750, batch loss=0.027076, epoch loss=0.277521 Batch=659, step=18660, lr=0.122500, batch loss=0.035818, epoch loss=0.313338 Batch=719, step=18720, lr=0.122250, batch loss=0.045991, epoch loss=0.359329 Batch=779, step=18780, lr=0.122000, batch loss=0.118540, epoch loss=0.477869 Batch=839, step=18840, lr=0.121750, batch loss=0.060172, epoch loss=0.538041 Batch=899, step=18900, lr=0.121250, batch loss=0.058154, epoch loss=0.596195 Batch=959, step=18960, lr=0.121000, batch loss=0.014887, epoch loss=0.611082 Batch=1019, step=19020, lr=0.121000, batch loss=0.021763, epoch loss=0.632845 Batch=1079, step=19080, lr=0.120750, batch loss=0.010932, epoch loss=0.643777 Batch=1139, step=19140, lr=0.120500, batch loss=0.023689, epoch loss=0.667466 Batch=1199, step=19200, lr=0.120250, batch loss=0.009538, epoch loss=0.677004 Epoch=15, step=19200, lr=0.120250, epoch loss=0.677004 Batch=59, step=19260, lr=0.119750, batch loss=0.004812, epoch loss=0.004812 Batch=119, step=19320, lr=0.119500, batch loss=0.018112, epoch loss=0.022925 Batch=179, step=19380, lr=0.119500, batch loss=0.040637, epoch loss=0.063562 Batch=239, step=19440, lr=0.119250, batch loss=0.022403, epoch loss=0.085965 Batch=299, step=19500, lr=0.119000, batch loss=0.006077, epoch loss=0.092042 Batch=359, step=19560, lr=0.118500, batch loss=0.017510, epoch loss=0.109551 Batch=419, step=19620, lr=0.118250, batch loss=0.020069, epoch loss=0.129620 Batch=479, step=19680, lr=0.118000, batch loss=0.008074, epoch loss=0.137694 Batch=539, step=19740, lr=0.117750, batch loss=0.017025, epoch loss=0.154719 Batch=599, step=19800, lr=0.117750, batch loss=0.023191, epoch loss=0.177911 Batch=659, step=19860, lr=0.117500, batch loss=0.019943, epoch loss=0.197854 Batch=719, step=19920, lr=0.117250, batch loss=0.048198, epoch loss=0.246052 Batch=779, step=19980, lr=0.117000, batch loss=0.081580, epoch loss=0.327632 Batch=839, step=20040, lr=0.116750, batch loss=0.032320, epoch loss=0.359951 Batch=899, step=20100, lr=0.116250, batch loss=0.030605, epoch loss=0.390557 Batch=959, step=20160, lr=0.116250, batch loss=0.011004, epoch loss=0.401561 Batch=1019, step=20220, lr=0.116000, batch loss=0.018487, epoch loss=0.420048 Batch=1079, step=20280, lr=0.115750, batch loss=0.004852, epoch loss=0.424900 Batch=1139, step=20340, lr=0.115500, batch loss=0.016758, epoch loss=0.441658 Batch=1199, step=20400, lr=0.115250, batch loss=0.006988, epoch loss=0.448645 Epoch=16, step=20400, lr=0.115250, epoch loss=0.448645 Batch=59, step=20460, lr=0.115000, batch loss=0.003344, epoch loss=0.003344 Batch=119, step=20520, lr=0.114750, batch loss=0.009221, epoch loss=0.012566 Batch=179, step=20580, lr=0.114500, batch loss=0.020296, epoch loss=0.032862 Batch=239, step=20640, lr=0.114250, batch loss=0.020521, epoch loss=0.053383 Batch=299, step=20700, lr=0.114000, batch loss=0.010369, epoch loss=0.063752 Batch=359, step=20760, lr=0.113750, batch loss=0.014849, epoch loss=0.078600 Batch=419, step=20820, lr=0.113500, batch loss=0.014761, epoch loss=0.093361 Batch=479, step=20880, lr=0.113250, batch loss=0.003214, epoch loss=0.096575 Batch=539, step=20940, lr=0.113000, batch loss=0.019409, epoch loss=0.115984 Batch=599, step=21000, lr=0.112750, batch loss=0.021254, epoch loss=0.137238 Batch=659, step=21060, lr=0.112500, batch loss=0.014313, epoch loss=0.151551 Batch=719, step=21120, lr=0.112250, batch loss=0.038214, epoch loss=0.189765 Batch=779, step=21180, lr=0.112000, batch loss=0.075221, epoch loss=0.264986 Batch=839, step=21240, lr=0.111750, batch loss=0.026120, epoch loss=0.291106 Batch=899, step=21300, lr=0.111500, batch loss=0.026261, epoch loss=0.317367 Batch=959, step=21360, lr=0.111250, batch loss=0.011031, epoch loss=0.328399 Batch=1019, step=21420, lr=0.111000, batch loss=0.012906, epoch loss=0.341305 Batch=1079, step=21480, lr=0.110750, batch loss=0.001538, epoch loss=0.342843 Batch=1139, step=21540, lr=0.110500, batch loss=0.012711, epoch loss=0.355553 Batch=1199, step=21600, lr=0.110250, batch loss=0.004432, epoch loss=0.359985 Epoch=17, step=21600, lr=0.110250, epoch loss=0.359985 Batch=59, step=21660, lr=0.110000, batch loss=0.001916, epoch loss=0.001916 Batch=119, step=21720, lr=0.109750, batch loss=0.008079, epoch loss=0.009995 Batch=179, step=21780, lr=0.109500, batch loss=0.015686, epoch loss=0.025681 Batch=239, step=21840, lr=0.109250, batch loss=0.013778, epoch loss=0.039459 Batch=299, step=21900, lr=0.109000, batch loss=0.003238, epoch loss=0.042697 Batch=359, step=21960, lr=0.108750, batch loss=0.011537, epoch loss=0.054234 Batch=419, step=22020, lr=0.108500, batch loss=0.011460, epoch loss=0.065694 Batch=479, step=22080, lr=0.108250, batch loss=0.002783, epoch loss=0.068476 Batch=539, step=22140, lr=0.108000, batch loss=0.017879, epoch loss=0.086355 Batch=599, step=22200, lr=0.107750, batch loss=0.015024, epoch loss=0.101379 Batch=659, step=22260, lr=0.107500, batch loss=0.013418, epoch loss=0.114797 Batch=719, step=22320, lr=0.107250, batch loss=0.019271, epoch loss=0.134069 Batch=779, step=22380, lr=0.107000, batch loss=0.024754, epoch loss=0.158823 Batch=839, step=22440, lr=0.106750, batch loss=0.025853, epoch loss=0.184676 Batch=899, step=22500, lr=0.106500, batch loss=0.027103, epoch loss=0.211779 Batch=959, step=22560, lr=0.106250, batch loss=0.008777, epoch loss=0.220556 Batch=1019, step=22620, lr=0.106000, batch loss=0.008683, epoch loss=0.229239 Batch=1079, step=22680, lr=0.105750, batch loss=0.000871, epoch loss=0.230110 Batch=1139, step=22740, lr=0.105500, batch loss=0.010365, epoch loss=0.240475 Batch=1199, step=22800, lr=0.105250, batch loss=0.004760, epoch loss=0.245235 Epoch=18, step=22800, lr=0.105250, epoch loss=0.245235 Batch=59, step=22860, lr=0.105000, batch loss=0.002557, epoch loss=0.002557 Batch=119, step=22920, lr=0.104750, batch loss=0.004484, epoch loss=0.007041 Batch=179, step=22980, lr=0.104500, batch loss=0.011957, epoch loss=0.018998 Batch=239, step=23040, lr=0.104000, batch loss=0.009579, epoch loss=0.028577 Batch=299, step=23100, lr=0.103750, batch loss=0.009534, epoch loss=0.038111 Batch=359, step=23160, lr=0.103750, batch loss=0.012070, epoch loss=0.050182 Batch=419, step=23220, lr=0.103500, batch loss=0.011460, epoch loss=0.061642 Batch=479, step=23280, lr=0.103250, batch loss=0.002458, epoch loss=0.064100 Batch=539, step=23340, lr=0.103000, batch loss=0.018611, epoch loss=0.082710 Batch=599, step=23400, lr=0.102750, batch loss=0.014399, epoch loss=0.097109 Batch=659, step=23460, lr=0.102500, batch loss=0.012476, epoch loss=0.109585 Batch=719, step=23520, lr=0.102250, batch loss=0.017076, epoch loss=0.126661 Batch=779, step=23580, lr=0.102000, batch loss=0.020914, epoch loss=0.147575 Batch=839, step=23640, lr=0.101750, batch loss=0.025361, epoch loss=0.172936 Batch=899, step=23700, lr=0.101500, batch loss=0.022367, epoch loss=0.195303 Batch=959, step=23760, lr=0.101250, batch loss=0.008039, epoch loss=0.203342 Batch=1019, step=23820, lr=0.101000, batch loss=0.008396, epoch loss=0.211738 Batch=1079, step=23880, lr=0.100500, batch loss=0.001747, epoch loss=0.213485 Batch=1139, step=23940, lr=0.100500, batch loss=0.008404, epoch loss=0.221889 Batch=1199, step=24000, lr=0.100250, batch loss=0.004651, epoch loss=0.226540 Epoch=19, step=24000, lr=0.100250, epoch loss=0.226540 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 20:03.56: Job failed: Failed: Build failed