2025-05-21 11:54.54: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (b6f271d6237f52725d0809538885b09a54c19329) (linux-x86_64:debian-12-5.3_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard b6f271d6 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a # debian-12-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-21 11:54.54: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a-debian-12-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-21 11:54.54: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a) (comment debian-12-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-21 11:54.54: Waiting for resource in pool OCluster 2025-05-21 11:54.54: Waiting for worker… 2025-05-21 11:55.18: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at b6f271d6 Merge branch 'master' of https://github.com/ahrefs/ocannl (from ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a) 2025-05-21 11:55.19 ---> using "c27ab789c36f636d2f62a674e3eae2c305d73399092c4108cbaa52dc8a10012e" from cache /: (comment debian-12-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-21 11:55.19 ---> using "9cae145c80fe31974e43d88953f6bec29d183f6d20f421503e8d061cd40eec4a" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 39 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=39 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-21 11:55.19 ---> using "87f3e5a80755168fb4361602ab86da8431db1c0a4b82a5265de42e259ab24c66" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-139-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-21 11:55.19 ---> using "845852dbffbb340f0f2c13031c11ce1dfd03ae99790c5dc859c7ad5e21d0e7a8" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 11:55.19 ---> using "8191a55dd0056aa373fe8194631bf3d29936780292874a0772972c5c5b35fd39" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..c7d6d1d2aa master -> origin/master c7d6d1d2aa Merge pull request #27880 from MisterDA/os-family-fedora <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-21 11:55.19 ---> using "8cc7e1c64bc8656f9760e9ef22c654e746ffbd9d197431bb832a2894a3229e8c" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 11:55.19 ---> using "f1ddad3733c33a9ebb2eca7d7ce34bef7034cac48c91ebfad508ead933cc451d" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-21 11:55.19 ---> using "8a6b0e24c4a1018c066212c7312abb80eff8a083fc3c10f113e755275e1c03a6" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 11:55.19 ---> using "26df6ff97f03ae829bcce01fa3d9288524b3116d6ebbe6a9daae2b1370fd76c5" 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 "apt-get" "update" - Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB] - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian bookworm/main amd64 Packages [8793 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [259 kB] - Fetched 9306 kB in 6s (1486 kB/s) - Reading package lists... - <><> 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 pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18778 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:amd64. - Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-1) ... - Setting up libffi-dev:amd64 (3.4.4-1) ... - Setting up libpkgconf3:amd64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up pkg-config:amd64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-05-21 11:55.19 ---> using "6eb1eb8c7178acf92e1276a60492fa769a058525eed6536681551e7d9c7434f3" 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 bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved result.1.5 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed printbox.0.12 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> 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 base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> 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_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-21 11:55.19 ---> using "70dab8f0360d6d3056e7a593658941759639868bb7c6fa48fcefb04853f9f242" from cache /src: (copy (src .) (dst /src)) 2025-05-21 11:55.20 ---> saved as "66ab8b721214544e6fd2f3d5d26755691564d3834701fae3ad1f7c2ba3d45d45" /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/5666deaf43bc607008010162c3d7432d/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/5666deaf43bc607008010162c3d7432d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5666deaf43bc607008010162c3d7432d/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/5666deaf43bc607008010162c3d7432d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5666deaf43bc607008010162c3d7432d/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/5666deaf43bc607008010162c3d7432d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5666deaf43bc607008010162c3d7432d/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ac9da30502ba81e2d37c94d22f6dce68/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5666deaf43bc607008010162c3d7432d/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/5666deaf43bc607008010162c3d7432d/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/5666deaf43bc607008010162c3d7432d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5666deaf43bc607008010162c3d7432d/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/5666deaf43bc607008010162c3d7432d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5666deaf43bc607008010162c3d7432d/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/5666deaf43bc607008010162c3d7432d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5666deaf43bc607008010162c3d7432d/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/5666deaf43bc607008010162c3d7432d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5666deaf43bc607008010162c3d7432d/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/5666deaf43bc607008010162c3d7432d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5666deaf43bc607008010162c3d7432d/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/5666deaf43bc607008010162c3d7432d/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.198750, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198500, batch loss=1.327597, epoch loss=38.399812 Batch=419, step=420, lr=0.198500, batch loss=0.619133, epoch loss=39.018945 Batch=479, step=480, lr=0.198250, batch loss=0.821855, epoch loss=39.840800 Batch=539, step=540, lr=0.198000, batch loss=0.691516, epoch loss=40.532316 Batch=599, step=600, lr=0.197750, batch loss=1.063752, epoch loss=41.596068 Batch=659, step=660, lr=0.197500, batch loss=0.483520, epoch loss=42.079588 Batch=719, step=720, lr=0.197250, batch loss=0.411395, epoch loss=42.490983 Batch=779, step=780, lr=0.197000, batch loss=0.470190, epoch loss=42.961173 Batch=839, step=840, lr=0.196750, batch loss=0.446792, epoch loss=43.407965 Batch=899, step=900, lr=0.196500, batch loss=0.382826, epoch loss=43.790791 Batch=959, step=960, lr=0.196250, batch loss=0.245220, epoch loss=44.036011 Batch=1019, step=1020, lr=0.196000, batch loss=0.466635, epoch loss=44.502646 Batch=1079, step=1080, lr=0.195500, batch loss=0.248879, epoch loss=44.751525 Batch=1139, step=1140, lr=0.195500, batch loss=0.317358, epoch loss=45.068882 Batch=1199, step=1200, lr=0.195250, batch loss=0.263875, epoch loss=45.332757 Epoch=0, step=1200, lr=0.195250, epoch loss=45.332757 Batch=59, step=1260, lr=0.195000, batch loss=0.262302, epoch loss=0.262302 Batch=119, step=1320, lr=0.194750, batch loss=0.205170, epoch loss=0.467472 Batch=179, step=1380, lr=0.194500, batch loss=0.243623, epoch loss=0.711095 Batch=239, step=1440, lr=0.194250, batch loss=0.347961, epoch loss=1.059056 Batch=299, step=1500, lr=0.194000, batch loss=0.247273, epoch loss=1.306329 Batch=359, step=1560, lr=0.193750, batch loss=0.316696, epoch loss=1.623025 Batch=419, step=1620, lr=0.193500, batch loss=0.312601, epoch loss=1.935626 Batch=479, step=1680, lr=0.193250, batch loss=0.276375, epoch loss=2.212001 Batch=539, step=1740, lr=0.193000, batch loss=0.209755, epoch loss=2.421756 Batch=599, step=1800, lr=0.192750, batch loss=0.250632, epoch loss=2.672389 Batch=659, step=1860, lr=0.192500, batch loss=0.367022, epoch loss=3.039411 Batch=719, step=1920, lr=0.192250, batch loss=0.355069, epoch loss=3.394479 Batch=779, step=1980, lr=0.192000, batch loss=0.381216, epoch loss=3.775695 Batch=839, step=2040, lr=0.191500, batch loss=0.339667, epoch loss=4.115363 Batch=899, step=2100, lr=0.191500, batch loss=0.295258, epoch loss=4.410620 Batch=959, step=2160, lr=0.191250, batch loss=0.214195, epoch loss=4.624815 Batch=1019, step=2220, lr=0.191000, batch loss=0.330630, epoch loss=4.955445 Batch=1079, step=2280, lr=0.190750, batch loss=0.208743, epoch loss=5.164187 Batch=1139, step=2340, lr=0.190500, batch loss=0.278039, epoch loss=5.442226 Batch=1199, step=2400, lr=0.190250, batch loss=0.220951, epoch loss=5.663177 Epoch=1, step=2400, lr=0.190250, epoch loss=5.663177 Batch=59, step=2460, lr=0.190000, batch loss=0.230544, epoch loss=0.230544 Batch=119, step=2520, lr=0.189500, batch loss=0.195800, epoch loss=0.426345 Batch=179, step=2580, lr=0.189500, batch loss=0.221183, epoch loss=0.647527 Batch=239, step=2640, lr=0.189250, batch loss=0.328063, epoch loss=0.975590 Batch=299, step=2700, lr=0.189000, batch loss=0.202911, epoch loss=1.178501 Batch=359, step=2760, lr=0.188750, batch loss=0.288305, epoch loss=1.466806 Batch=419, step=2820, lr=0.188500, batch loss=0.280192, epoch loss=1.746998 Batch=479, step=2880, lr=0.188250, batch loss=0.251470, epoch loss=1.998467 Batch=539, step=2940, lr=0.188000, batch loss=0.191289, epoch loss=2.189757 Batch=599, step=3000, lr=0.187750, batch loss=0.224187, epoch loss=2.413944 Batch=659, step=3060, lr=0.187500, batch loss=0.330809, epoch loss=2.744753 Batch=719, step=3120, lr=0.187250, batch loss=0.333606, epoch loss=3.078359 Batch=779, step=3180, lr=0.187000, batch loss=0.354849, epoch loss=3.433208 Batch=839, step=3240, lr=0.186750, batch loss=0.327569, epoch loss=3.760777 Batch=899, step=3300, lr=0.186500, batch loss=0.296184, epoch loss=4.056961 Batch=959, step=3360, lr=0.186250, batch loss=0.239717, epoch loss=4.296678 Batch=1019, step=3420, lr=0.186000, batch loss=0.352488, epoch loss=4.649166 Batch=1079, step=3480, lr=0.185750, batch loss=0.232005, epoch loss=4.881172 Batch=1139, step=3540, lr=0.185500, batch loss=0.263045, epoch loss=5.144217 Batch=1199, step=3600, lr=0.185250, batch loss=0.199444, epoch loss=5.343660 Epoch=2, step=3600, lr=0.185250, epoch loss=5.343660 Batch=59, step=3660, lr=0.185000, batch loss=0.221771, epoch loss=0.221771 Batch=119, step=3720, lr=0.184750, batch loss=0.184386, epoch loss=0.406157 Batch=179, step=3780, lr=0.184500, batch loss=0.210905, epoch loss=0.617062 Batch=239, step=3840, lr=0.184250, batch loss=0.315471, epoch loss=0.932533 Batch=299, step=3900, lr=0.184000, batch loss=0.201181, epoch loss=1.133715 Batch=359, step=3960, lr=0.183750, batch loss=0.283302, epoch loss=1.417016 Batch=419, step=4020, lr=0.183500, batch loss=0.273775, epoch loss=1.690791 Batch=479, step=4080, lr=0.183250, batch loss=0.252840, epoch loss=1.943631 Batch=539, step=4140, lr=0.183000, batch loss=0.195713, epoch loss=2.139343 Batch=599, step=4200, lr=0.182500, batch loss=0.241314, epoch loss=2.380657 Batch=659, step=4260, lr=0.182500, batch loss=0.327633, epoch loss=2.708290 Batch=719, step=4320, lr=0.182250, batch loss=0.328333, epoch loss=3.036623 Batch=779, step=4380, lr=0.182000, batch loss=0.350382, epoch loss=3.387005 Batch=839, step=4440, lr=0.181750, batch loss=0.318372, epoch loss=3.705377 Batch=899, step=4500, lr=0.181500, batch loss=0.290836, epoch loss=3.996213 Batch=959, step=4560, lr=0.181250, batch loss=0.246785, epoch loss=4.242998 Batch=1019, step=4620, lr=0.181000, batch loss=0.361843, epoch loss=4.604841 Batch=1079, step=4680, lr=0.180500, batch loss=0.201805, epoch loss=4.806646 Batch=1139, step=4740, lr=0.180500, batch loss=0.237377, epoch loss=5.044023 Batch=1199, step=4800, lr=0.180250, batch loss=0.190330, epoch loss=5.234354 Epoch=3, step=4800, lr=0.180250, epoch loss=5.234354 Batch=59, step=4860, lr=0.180000, batch loss=0.227117, epoch loss=0.227117 Batch=119, step=4920, lr=0.179750, batch loss=0.190174, epoch loss=0.417291 Batch=179, step=4980, lr=0.179500, batch loss=0.205729, epoch loss=0.623020 Batch=239, step=5040, lr=0.179250, batch loss=0.307968, epoch loss=0.930988 Batch=299, step=5100, lr=0.179000, batch loss=0.206594, epoch loss=1.137582 Batch=359, step=5160, lr=0.178750, batch loss=0.274866, epoch loss=1.412448 Batch=419, step=5220, lr=0.178500, batch loss=0.268521, epoch loss=1.680969 Batch=479, step=5280, lr=0.178250, batch loss=0.246421, epoch loss=1.927390 Batch=539, step=5340, lr=0.178000, batch loss=0.193289, epoch loss=2.120679 Batch=599, step=5400, lr=0.177750, batch loss=0.237932, epoch loss=2.358611 Batch=659, step=5460, lr=0.177250, batch loss=0.320494, epoch loss=2.679105 Batch=719, step=5520, lr=0.177000, batch loss=0.324690, epoch loss=3.003795 Batch=779, step=5580, lr=0.176750, batch loss=0.338535, epoch loss=3.342331 Batch=839, step=5640, lr=0.176750, batch loss=0.313338, epoch loss=3.655669 Batch=899, step=5700, lr=0.176250, batch loss=0.275357, epoch loss=3.931026 Batch=959, step=5760, lr=0.176000, batch loss=0.210434, epoch loss=4.141460 Batch=1019, step=5820, lr=0.176000, batch loss=0.339326, epoch loss=4.480786 Batch=1079, step=5880, lr=0.175500, batch loss=0.204959, epoch loss=4.685745 Batch=1139, step=5940, lr=0.175250, batch loss=0.239735, epoch loss=4.925480 Batch=1199, step=6000, lr=0.175000, batch loss=0.186061, epoch loss=5.111541 Epoch=4, step=6000, lr=0.175000, epoch loss=5.111541 Batch=59, step=6060, lr=0.174750, batch loss=0.224262, epoch loss=0.224262 Batch=119, step=6120, lr=0.174500, batch loss=0.184789, epoch loss=0.409051 Batch=179, step=6180, lr=0.174500, batch loss=0.200988, epoch loss=0.610040 Batch=239, step=6240, lr=0.174250, batch loss=0.299398, epoch loss=0.909438 Batch=299, step=6300, lr=0.174000, batch loss=0.207033, epoch loss=1.116471 Batch=359, step=6360, lr=0.173750, batch loss=0.268172, epoch loss=1.384643 Batch=419, step=6420, lr=0.173250, batch loss=0.264867, epoch loss=1.649510 Batch=479, step=6480, lr=0.173000, batch loss=0.243454, epoch loss=1.892964 Batch=539, step=6540, lr=0.172750, batch loss=0.192792, epoch loss=2.085756 Batch=599, step=6600, lr=0.172750, batch loss=0.228754, epoch loss=2.314510 Batch=659, step=6660, lr=0.172250, batch loss=0.314879, epoch loss=2.629389 Batch=719, step=6720, lr=0.172250, batch loss=0.316242, epoch loss=2.945632 Batch=779, step=6780, lr=0.172000, batch loss=0.332915, epoch loss=3.278547 Batch=839, step=6840, lr=0.171750, batch loss=0.305552, epoch loss=3.584099 Batch=899, step=6900, lr=0.171500, batch loss=0.264876, epoch loss=3.848976 Batch=959, step=6960, lr=0.171000, batch loss=0.214462, epoch loss=4.063437 Batch=1019, step=7020, lr=0.171000, batch loss=0.328297, epoch loss=4.391734 Batch=1079, step=7080, lr=0.170750, batch loss=0.184975, epoch loss=4.576709 Batch=1139, step=7140, lr=0.170500, batch loss=0.215080, epoch loss=4.791789 Batch=1199, step=7200, lr=0.170250, batch loss=0.184576, epoch loss=4.976366 Epoch=5, step=7200, lr=0.170250, epoch loss=4.976366 Batch=59, step=7260, lr=0.170000, batch loss=0.235431, epoch loss=0.235431 Batch=119, step=7320, lr=0.169750, batch loss=0.182398, epoch loss=0.417829 Batch=179, step=7380, lr=0.169500, batch loss=0.195629, epoch loss=0.613457 Batch=239, step=7440, lr=0.169250, batch loss=0.294164, epoch loss=0.907621 Batch=299, step=7500, lr=0.169000, batch loss=0.203181, epoch loss=1.110802 Batch=359, step=7560, lr=0.168750, batch loss=0.256248, epoch loss=1.367050 Batch=419, step=7620, lr=0.168500, batch loss=0.252410, epoch loss=1.619460 Batch=479, step=7680, lr=0.168250, batch loss=0.233026, epoch loss=1.852486 Batch=539, step=7740, lr=0.168000, batch loss=0.191148, epoch loss=2.043635 Batch=599, step=7800, lr=0.167750, batch loss=0.227352, epoch loss=2.270987 Batch=659, step=7860, lr=0.167500, batch loss=0.304583, epoch loss=2.575570 Batch=719, step=7920, lr=0.167250, batch loss=0.309687, epoch loss=2.885257 Batch=779, step=7980, lr=0.167000, batch loss=0.328491, epoch loss=3.213748 Batch=839, step=8040, lr=0.166750, batch loss=0.292925, epoch loss=3.506673 Batch=899, step=8100, lr=0.166500, batch loss=0.262541, epoch loss=3.769213 Batch=959, step=8160, lr=0.166250, batch loss=0.198756, epoch loss=3.967970 Batch=1019, step=8220, lr=0.166000, batch loss=0.324879, epoch loss=4.292848 Batch=1079, step=8280, lr=0.165750, batch loss=0.190200, epoch loss=4.483049 Batch=1139, step=8340, lr=0.165500, batch loss=0.217711, epoch loss=4.700759 Batch=1199, step=8400, lr=0.165250, batch loss=0.173150, epoch loss=4.873909 Epoch=6, step=8400, lr=0.165250, epoch loss=4.873909 Batch=59, step=8460, lr=0.165000, batch loss=0.211003, epoch loss=0.211003 Batch=119, step=8520, lr=0.164750, batch loss=0.171873, epoch loss=0.382876 Batch=179, step=8580, lr=0.164500, batch loss=0.187787, epoch loss=0.570663 Batch=239, step=8640, lr=0.164250, batch loss=0.279625, epoch loss=0.850287 Batch=299, step=8700, lr=0.164000, batch loss=0.199461, epoch loss=1.049748 Batch=359, step=8760, lr=0.163750, batch loss=0.251781, epoch loss=1.301529 Batch=419, step=8820, lr=0.163500, batch loss=0.246643, epoch loss=1.548172 Batch=479, step=8880, lr=0.163000, batch loss=0.226831, epoch loss=1.775003 Batch=539, step=8940, lr=0.163000, batch loss=0.179809, epoch loss=1.954812 Batch=599, step=9000, lr=0.162750, batch loss=0.215899, epoch loss=2.170712 Batch=659, step=9060, lr=0.162500, batch loss=0.293407, epoch loss=2.464119 Batch=719, step=9120, lr=0.162250, batch loss=0.296831, epoch loss=2.760950 Batch=779, step=9180, lr=0.162000, batch loss=0.314391, epoch loss=3.075341 Batch=839, step=9240, lr=0.161750, batch loss=0.281766, epoch loss=3.357107 Batch=899, step=9300, lr=0.161250, batch loss=0.253035, epoch loss=3.610142 Batch=959, step=9360, lr=0.161250, batch loss=0.186475, epoch loss=3.796617 Batch=1019, step=9420, lr=0.161000, batch loss=0.301341, epoch loss=4.097959 Batch=1079, step=9480, lr=0.160750, batch loss=0.181169, epoch loss=4.279128 Batch=1139, step=9540, lr=0.160500, batch loss=0.209267, epoch loss=4.488394 Batch=1199, step=9600, lr=0.160250, batch loss=0.167318, epoch loss=4.655712 Epoch=7, step=9600, lr=0.160250, epoch loss=4.655712 Batch=59, step=9660, lr=0.160000, batch loss=0.199423, epoch loss=0.199423 Batch=119, step=9720, lr=0.159750, batch loss=0.163680, epoch loss=0.363103 Batch=179, step=9780, lr=0.159250, batch loss=0.178891, epoch loss=0.541994 Batch=239, step=9840, lr=0.159250, batch loss=0.260173, epoch loss=0.802167 Batch=299, step=9900, lr=0.159000, batch loss=0.180092, epoch loss=0.982259 Batch=359, step=9960, lr=0.158750, batch loss=0.241805, epoch loss=1.224064 Batch=419, step=10020, lr=0.158500, batch loss=0.231332, epoch loss=1.455396 Batch=479, step=10080, lr=0.158250, batch loss=0.214572, epoch loss=1.669968 Batch=539, step=10140, lr=0.158000, batch loss=0.169058, epoch loss=1.839026 Batch=599, step=10200, lr=0.157750, batch loss=0.202975, epoch loss=2.042001 Batch=659, step=10260, lr=0.157500, batch loss=0.281287, epoch loss=2.323287 Batch=719, step=10320, lr=0.157250, batch loss=0.281398, epoch loss=2.604686 Batch=779, step=10380, lr=0.157000, batch loss=0.297680, epoch loss=2.902365 Batch=839, step=10440, lr=0.156750, batch loss=0.273234, epoch loss=3.175599 Batch=899, step=10500, lr=0.156500, batch loss=0.237754, epoch loss=3.413354 Batch=959, step=10560, lr=0.156250, batch loss=0.190459, epoch loss=3.603813 Batch=1019, step=10620, lr=0.156000, batch loss=0.283483, epoch loss=3.887296 Batch=1079, step=10680, lr=0.155750, batch loss=0.159392, epoch loss=4.046688 Batch=1139, step=10740, lr=0.155500, batch loss=0.187151, epoch loss=4.233839 Batch=1199, step=10800, lr=0.155250, batch loss=0.154892, epoch loss=4.388731 Epoch=8, step=10800, lr=0.155250, epoch loss=4.388731 Batch=59, step=10860, lr=0.155000, batch loss=0.186733, epoch loss=0.186733 Batch=119, step=10920, lr=0.154750, batch loss=0.152326, epoch loss=0.339059 Batch=179, step=10980, lr=0.154500, batch loss=0.166718, epoch loss=0.505777 Batch=239, step=11040, lr=0.154250, batch loss=0.244519, epoch loss=0.750296 Batch=299, step=11100, lr=0.154000, batch loss=0.165030, epoch loss=0.915326 Batch=359, step=11160, lr=0.153750, batch loss=0.224373, epoch loss=1.139699 Batch=419, step=11220, lr=0.153500, batch loss=0.223390, epoch loss=1.363088 Batch=479, step=11280, lr=0.153250, batch loss=0.207756, epoch loss=1.570844 Batch=539, step=11340, lr=0.153000, batch loss=0.161591, epoch loss=1.732436 Batch=599, step=11400, lr=0.152750, batch loss=0.182363, epoch loss=1.914799 Batch=659, step=11460, lr=0.152500, batch loss=0.263326, epoch loss=2.178124 Batch=719, step=11520, lr=0.152250, batch loss=0.260938, epoch loss=2.439062 Batch=779, step=11580, lr=0.152000, batch loss=0.271321, epoch loss=2.710383 Batch=839, step=11640, lr=0.151750, batch loss=0.250622, epoch loss=2.961005 Batch=899, step=11700, lr=0.151500, batch loss=0.219097, epoch loss=3.180102 Batch=959, step=11760, lr=0.151250, batch loss=0.187272, epoch loss=3.367374 Batch=1019, step=11820, lr=0.151000, batch loss=0.273662, epoch loss=3.641036 Batch=1079, step=11880, lr=0.150750, batch loss=0.152279, epoch loss=3.793315 Batch=1139, step=11940, lr=0.150500, batch loss=0.178278, epoch loss=3.971594 Batch=1199, step=12000, lr=0.150250, batch loss=0.140740, epoch loss=4.112333 Epoch=9, step=12000, lr=0.150250, epoch loss=4.112333 Batch=59, step=12060, lr=0.150000, batch loss=0.163902, epoch loss=0.163902 Batch=119, step=12120, lr=0.149750, batch loss=0.135335, epoch loss=0.299237 Batch=179, step=12180, lr=0.149500, batch loss=0.151380, epoch loss=0.450616 Batch=239, step=12240, lr=0.149250, batch loss=0.220523, epoch loss=0.671139 Batch=299, step=12300, lr=0.149000, batch loss=0.141653, epoch loss=0.812792 Batch=359, step=12360, lr=0.148750, batch loss=0.199138, epoch loss=1.011930 Batch=419, step=12420, lr=0.148500, batch loss=0.205626, epoch loss=1.217556 Batch=479, step=12480, lr=0.148250, batch loss=0.180943, epoch loss=1.398499 Batch=539, step=12540, lr=0.148000, batch loss=0.142375, epoch loss=1.540874 Batch=599, step=12600, lr=0.147750, batch loss=0.151010, epoch loss=1.691883 Batch=659, step=12660, lr=0.147500, batch loss=0.226150, epoch loss=1.918033 Batch=719, step=12720, lr=0.147250, batch loss=0.236149, epoch loss=2.154182 Batch=779, step=12780, lr=0.147000, batch loss=0.262653, epoch loss=2.416835 Batch=839, step=12840, lr=0.146750, batch loss=0.235990, epoch loss=2.652825 Batch=899, step=12900, lr=0.146500, batch loss=0.223932, epoch loss=2.876758 Batch=959, step=12960, lr=0.146250, batch loss=0.144125, epoch loss=3.020882 Batch=1019, step=13020, lr=0.146000, batch loss=0.217944, epoch loss=3.238826 Batch=1079, step=13080, lr=0.145750, batch loss=0.111997, epoch loss=3.350823 Batch=1139, step=13140, lr=0.145500, batch loss=0.147605, epoch loss=3.498428 Batch=1199, step=13200, lr=0.145250, batch loss=0.116835, epoch loss=3.615263 Epoch=10, step=13200, lr=0.145250, epoch loss=3.615263 Batch=59, step=13260, lr=0.145000, batch loss=0.135972, epoch loss=0.135972 Batch=119, step=13320, lr=0.144750, batch loss=0.111757, epoch loss=0.247729 Batch=179, step=13380, lr=0.144500, batch loss=0.127394, epoch loss=0.375122 Batch=239, step=13440, lr=0.144250, batch loss=0.186569, epoch loss=0.561691 Batch=299, step=13500, lr=0.144000, batch loss=0.117578, epoch loss=0.679269 Batch=359, step=13560, lr=0.143750, batch loss=0.159757, epoch loss=0.839026 Batch=419, step=13620, lr=0.143500, batch loss=0.161691, epoch loss=1.000717 Batch=479, step=13680, lr=0.143250, batch loss=0.148949, epoch loss=1.149666 Batch=539, step=13740, lr=0.143000, batch loss=0.118205, epoch loss=1.267871 Batch=599, step=13800, lr=0.142750, batch loss=0.121905, epoch loss=1.389775 Batch=659, step=13860, lr=0.142500, batch loss=0.180792, epoch loss=1.570567 Batch=719, step=13920, lr=0.142250, batch loss=0.195700, epoch loss=1.766267 Batch=779, step=13980, lr=0.142000, batch loss=0.226641, epoch loss=1.992908 Batch=839, step=14040, lr=0.141750, batch loss=0.205379, epoch loss=2.198288 Batch=899, step=14100, lr=0.141500, batch loss=0.226311, epoch loss=2.424599 Batch=959, step=14160, lr=0.141250, batch loss=0.097517, epoch loss=2.522116 Batch=1019, step=14220, lr=0.141000, batch loss=0.182777, epoch loss=2.704892 Batch=1079, step=14280, lr=0.140750, batch loss=0.086854, epoch loss=2.791747 Batch=1139, step=14340, lr=0.140500, batch loss=0.136837, epoch loss=2.928583 Batch=1199, step=14400, lr=0.140250, batch loss=0.089588, epoch loss=3.018171 Epoch=11, step=14400, lr=0.140250, epoch loss=3.018171 Batch=59, step=14460, lr=0.140000, batch loss=0.118264, epoch loss=0.118264 Batch=119, step=14520, lr=0.139750, batch loss=0.108712, epoch loss=0.226977 Batch=179, step=14580, lr=0.139500, batch loss=0.105182, epoch loss=0.332159 Batch=239, step=14640, lr=0.139250, batch loss=0.142654, epoch loss=0.474813 Batch=299, step=14700, lr=0.139000, batch loss=0.080204, epoch loss=0.555017 Batch=359, step=14760, lr=0.138750, batch loss=0.120211, epoch loss=0.675228 Batch=419, step=14820, lr=0.138500, batch loss=0.125327, epoch loss=0.800556 Batch=479, step=14880, lr=0.138250, batch loss=0.107194, epoch loss=0.907750 Batch=539, step=14940, lr=0.138000, batch loss=0.111442, epoch loss=1.019192 Batch=599, step=15000, lr=0.137750, batch loss=0.086168, epoch loss=1.105361 Batch=659, step=15060, lr=0.137500, batch loss=0.130095, epoch loss=1.235456 Batch=719, step=15120, lr=0.137250, batch loss=0.119641, epoch loss=1.355097 Batch=779, step=15180, lr=0.137000, batch loss=0.127341, epoch loss=1.482438 Batch=839, step=15240, lr=0.136750, batch loss=0.150500, epoch loss=1.632938 Batch=899, step=15300, lr=0.136500, batch loss=0.171793, epoch loss=1.804731 Batch=959, step=15360, lr=0.136250, batch loss=0.096036, epoch loss=1.900767 Batch=1019, step=15420, lr=0.136000, batch loss=0.170224, epoch loss=2.070991 Batch=1079, step=15480, lr=0.135750, batch loss=0.046297, epoch loss=2.117288 Batch=1139, step=15540, lr=0.135500, batch loss=0.105827, epoch loss=2.223115 Batch=1199, step=15600, lr=0.135250, batch loss=0.055440, epoch loss=2.278554 Epoch=12, step=15600, lr=0.135250, epoch loss=2.278554 Batch=59, step=15660, lr=0.135000, batch loss=0.081524, epoch loss=0.081524 Batch=119, step=15720, lr=0.134750, batch loss=0.138344, epoch loss=0.219868 Batch=179, step=15780, lr=0.134500, batch loss=0.097316, epoch loss=0.317184 Batch=239, step=15840, lr=0.134250, batch loss=0.095865, epoch loss=0.413049 Batch=299, step=15900, lr=0.134000, batch loss=0.045081, epoch loss=0.458130 Batch=359, step=15960, lr=0.133750, batch loss=0.081183, epoch loss=0.539313 Batch=419, step=16020, lr=0.133500, batch loss=0.081232, epoch loss=0.620545 Batch=479, step=16080, lr=0.133250, batch loss=0.068643, epoch loss=0.689188 Batch=539, step=16140, lr=0.133000, batch loss=0.055210, epoch loss=0.744398 Batch=599, step=16200, lr=0.132750, batch loss=0.099951, epoch loss=0.844349 Batch=659, step=16260, lr=0.132500, batch loss=0.078554, epoch loss=0.922903 Batch=719, step=16320, lr=0.132250, batch loss=0.070267, epoch loss=0.993170 Batch=779, step=16380, lr=0.132000, batch loss=0.070923, epoch loss=1.064093 Batch=839, step=16440, lr=0.131750, batch loss=0.099597, epoch loss=1.163691 Batch=899, step=16500, lr=0.131500, batch loss=0.154806, epoch loss=1.318496 Batch=959, step=16560, lr=0.131250, batch loss=0.057862, epoch loss=1.376359 Batch=1019, step=16620, lr=0.131000, batch loss=0.147707, epoch loss=1.524066 Batch=1079, step=16680, lr=0.130750, batch loss=0.023211, epoch loss=1.547277 Batch=1139, step=16740, lr=0.130500, batch loss=0.052117, epoch loss=1.599394 Batch=1199, step=16800, lr=0.130250, batch loss=0.029507, epoch loss=1.628901 Epoch=13, step=16800, lr=0.130250, epoch loss=1.628901 Batch=59, step=16860, lr=0.130000, batch loss=0.039608, epoch loss=0.039608 Batch=119, step=16920, lr=0.129750, batch loss=0.064282, epoch loss=0.103890 Batch=179, step=16980, lr=0.129500, batch loss=0.052316, epoch loss=0.156206 Batch=239, step=17040, lr=0.129250, batch loss=0.065025, epoch loss=0.221231 Batch=299, step=17100, lr=0.129000, batch loss=0.028172, epoch loss=0.249403 Batch=359, step=17160, lr=0.128750, batch loss=0.047550, epoch loss=0.296952 Batch=419, step=17220, lr=0.128500, batch loss=0.049652, epoch loss=0.346605 Batch=479, step=17280, lr=0.128250, batch loss=0.034417, epoch loss=0.381022 Batch=539, step=17340, lr=0.128000, batch loss=0.066337, epoch loss=0.447358 Batch=599, step=17400, lr=0.127750, batch loss=0.037146, epoch loss=0.484504 Batch=659, step=17460, lr=0.127500, batch loss=0.054599, epoch loss=0.539103 Batch=719, step=17520, lr=0.127250, batch loss=0.081034, epoch loss=0.620136 Batch=779, step=17580, lr=0.127000, batch loss=0.053899, epoch loss=0.674035 Batch=839, step=17640, lr=0.126750, batch loss=0.093784, epoch loss=0.767819 Batch=899, step=17700, lr=0.126500, batch loss=0.048373, epoch loss=0.816192 Batch=959, step=17760, lr=0.126250, batch loss=0.016259, epoch loss=0.832451 Batch=1019, step=17820, lr=0.126000, batch loss=0.039463, epoch loss=0.871914 Batch=1079, step=17880, lr=0.125750, batch loss=0.050188, epoch loss=0.922102 Batch=1139, step=17940, lr=0.125500, batch loss=0.107660, epoch loss=1.029761 Batch=1199, step=18000, lr=0.125250, batch loss=0.024334, epoch loss=1.054095 Epoch=14, step=18000, lr=0.125250, epoch loss=1.054095 Batch=59, step=18060, lr=0.125000, batch loss=0.017515, epoch loss=0.017515 Batch=119, step=18120, lr=0.124750, batch loss=0.019764, epoch loss=0.037279 Batch=179, step=18180, lr=0.124500, batch loss=0.030973, epoch loss=0.068252 Batch=239, step=18240, lr=0.124250, batch loss=0.039782, epoch loss=0.108033 Batch=299, step=18300, lr=0.124000, batch loss=0.009618, epoch loss=0.117651 Batch=359, step=18360, lr=0.123750, batch loss=0.026322, epoch loss=0.143973 Batch=419, step=18420, lr=0.123500, batch loss=0.030219, epoch loss=0.174192 Batch=479, step=18480, lr=0.123250, batch loss=0.018139, epoch loss=0.192331 Batch=539, step=18540, lr=0.123000, batch loss=0.027442, epoch loss=0.219773 Batch=599, step=18600, lr=0.122500, batch loss=0.026395, epoch loss=0.246168 Batch=659, step=18660, lr=0.122500, batch loss=0.028385, epoch loss=0.274554 Batch=719, step=18720, lr=0.122250, batch loss=0.039726, epoch loss=0.314280 Batch=779, step=18780, lr=0.122000, batch loss=0.095839, epoch loss=0.410119 Batch=839, step=18840, lr=0.121750, batch loss=0.054198, epoch loss=0.464316 Batch=899, step=18900, lr=0.121500, batch loss=0.064564, epoch loss=0.528881 Batch=959, step=18960, lr=0.121250, batch loss=0.013718, epoch loss=0.542599 Batch=1019, step=19020, lr=0.121000, batch loss=0.024890, epoch loss=0.567489 Batch=1079, step=19080, lr=0.120750, batch loss=0.010191, epoch loss=0.577680 Batch=1139, step=19140, lr=0.120500, batch loss=0.023278, epoch loss=0.600958 Batch=1199, step=19200, lr=0.120250, batch loss=0.009468, epoch loss=0.610425 Epoch=15, step=19200, lr=0.120250, epoch loss=0.610425 Batch=59, step=19260, lr=0.120000, batch loss=0.004293, epoch loss=0.004293 Batch=119, step=19320, lr=0.119750, batch loss=0.015007, epoch loss=0.019300 Batch=179, step=19380, lr=0.119500, batch loss=0.033749, epoch loss=0.053049 Batch=239, step=19440, lr=0.119250, batch loss=0.021180, epoch loss=0.074228 Batch=299, step=19500, lr=0.119000, batch loss=0.006156, epoch loss=0.080385 Batch=359, step=19560, lr=0.118750, batch loss=0.025136, epoch loss=0.105521 Batch=419, step=19620, lr=0.118500, batch loss=0.020028, epoch loss=0.125549 Batch=479, step=19680, lr=0.118250, batch loss=0.007435, epoch loss=0.132983 Batch=539, step=19740, lr=0.118000, batch loss=0.018990, epoch loss=0.151973 Batch=599, step=19800, lr=0.117750, batch loss=0.024250, epoch loss=0.176223 Batch=659, step=19860, lr=0.117500, batch loss=0.021402, epoch loss=0.197625 Batch=719, step=19920, lr=0.117250, batch loss=0.052355, epoch loss=0.249980 Batch=779, step=19980, lr=0.117000, batch loss=0.087852, epoch loss=0.337832 Batch=839, step=20040, lr=0.116750, batch loss=0.030203, epoch loss=0.368035 Batch=899, step=20100, lr=0.116500, batch loss=0.032929, epoch loss=0.400964 Batch=959, step=20160, lr=0.116250, batch loss=0.011272, epoch loss=0.412237 Batch=1019, step=20220, lr=0.116000, batch loss=0.013780, epoch loss=0.426016 Batch=1079, step=20280, lr=0.115750, batch loss=0.002674, epoch loss=0.428691 Batch=1139, step=20340, lr=0.115500, batch loss=0.014909, epoch loss=0.443600 Batch=1199, step=20400, lr=0.115000, batch loss=0.007916, epoch loss=0.451516 Epoch=16, step=20400, lr=0.115000, epoch loss=0.451516 Batch=59, step=20460, lr=0.115000, batch loss=0.004195, epoch loss=0.004195 Batch=119, step=20520, lr=0.114750, batch loss=0.013087, epoch loss=0.017282 Batch=179, step=20580, lr=0.114500, batch loss=0.025824, epoch loss=0.043106 Batch=239, step=20640, lr=0.114250, batch loss=0.014859, epoch loss=0.057966 Batch=299, step=20700, lr=0.114000, batch loss=0.005482, epoch loss=0.063447 Batch=359, step=20760, lr=0.113750, batch loss=0.013357, epoch loss=0.076804 Batch=419, step=20820, lr=0.113250, batch loss=0.017022, epoch loss=0.093826 Batch=479, step=20880, lr=0.113250, batch loss=0.004506, epoch loss=0.098332 Batch=539, step=20940, lr=0.113000, batch loss=0.015588, epoch loss=0.113919 Batch=599, step=21000, lr=0.112750, batch loss=0.018215, epoch loss=0.132135 Batch=659, step=21060, lr=0.112500, batch loss=0.015667, epoch loss=0.147802 Batch=719, step=21120, lr=0.112250, batch loss=0.041760, epoch loss=0.189562 Batch=779, step=21180, lr=0.112000, batch loss=0.065461, epoch loss=0.255023 Batch=839, step=21240, lr=0.111750, batch loss=0.024850, epoch loss=0.279873 Batch=899, step=21300, lr=0.111500, batch loss=0.028029, epoch loss=0.307901 Batch=959, step=21360, lr=0.111250, batch loss=0.010131, epoch loss=0.318033 Batch=1019, step=21420, lr=0.111000, batch loss=0.011091, epoch loss=0.329124 Batch=1079, step=21480, lr=0.110750, batch loss=0.000975, epoch loss=0.330099 Batch=1139, step=21540, lr=0.110500, batch loss=0.013007, epoch loss=0.343106 Batch=1199, step=21600, lr=0.110250, batch loss=0.004984, epoch loss=0.348090 Epoch=17, step=21600, lr=0.110250, epoch loss=0.348090 Batch=59, step=21660, lr=0.110000, batch loss=0.002495, epoch loss=0.002495 Batch=119, step=21720, lr=0.109750, batch loss=0.006558, epoch loss=0.009053 Batch=179, step=21780, lr=0.109500, batch loss=0.012788, epoch loss=0.021841 Batch=239, step=21840, lr=0.109250, batch loss=0.009642, epoch loss=0.031483 Batch=299, step=21900, lr=0.109000, batch loss=0.001655, epoch loss=0.033138 Batch=359, step=21960, lr=0.108750, batch loss=0.010754, epoch loss=0.043892 Batch=419, step=22020, lr=0.108500, batch loss=0.011310, epoch loss=0.055202 Batch=479, step=22080, lr=0.108250, batch loss=0.003748, epoch loss=0.058950 Batch=539, step=22140, lr=0.108000, batch loss=0.016583, epoch loss=0.075533 Batch=599, step=22200, lr=0.107750, batch loss=0.015341, epoch loss=0.090874 Batch=659, step=22260, lr=0.107500, batch loss=0.014216, epoch loss=0.105090 Batch=719, step=22320, lr=0.107250, batch loss=0.030789, epoch loss=0.135879 Batch=779, step=22380, lr=0.107000, batch loss=0.033501, epoch loss=0.169380 Batch=839, step=22440, lr=0.106500, batch loss=0.026940, epoch loss=0.196320 Batch=899, step=22500, lr=0.106250, batch loss=0.025496, epoch loss=0.221815 Batch=959, step=22560, lr=0.106250, batch loss=0.008968, epoch loss=0.230783 Batch=1019, step=22620, lr=0.106000, batch loss=0.008992, epoch loss=0.239775 Batch=1079, step=22680, lr=0.105750, batch loss=0.001835, epoch loss=0.241609 Batch=1139, step=22740, lr=0.105500, batch loss=0.010552, epoch loss=0.252161 Batch=1199, step=22800, lr=0.105250, batch loss=0.004968, epoch loss=0.257129 Epoch=18, step=22800, lr=0.105250, epoch loss=0.257129 Batch=59, step=22860, lr=0.105000, batch loss=0.002485, epoch loss=0.002485 Batch=119, step=22920, lr=0.104750, batch loss=0.004843, epoch loss=0.007329 Batch=179, step=22980, lr=0.104500, batch loss=0.011860, epoch loss=0.019188 Batch=239, step=23040, lr=0.104250, batch loss=0.008502, epoch loss=0.027690 Batch=299, step=23100, lr=0.104000, batch loss=0.001347, epoch loss=0.029036 Batch=359, step=23160, lr=0.103750, batch loss=0.011582, epoch loss=0.040619 Batch=419, step=23220, lr=0.103500, batch loss=0.010068, epoch loss=0.050687 Batch=479, step=23280, lr=0.103250, batch loss=0.002415, epoch loss=0.053102 Batch=539, step=23340, lr=0.103000, batch loss=0.018874, epoch loss=0.071976 Batch=599, step=23400, lr=0.102750, batch loss=0.014090, epoch loss=0.086066 Batch=659, step=23460, lr=0.102500, batch loss=0.012859, epoch loss=0.098925 Batch=719, step=23520, lr=0.102250, batch loss=0.015197, epoch loss=0.114122 Batch=779, step=23580, lr=0.102000, batch loss=0.021073, epoch loss=0.135195 Batch=839, step=23640, lr=0.101750, batch loss=0.024619, epoch loss=0.159814 Batch=899, step=23700, lr=0.101250, batch loss=0.022917, epoch loss=0.182732 Batch=959, step=23760, lr=0.101250, batch loss=0.008063, epoch loss=0.190795 Batch=1019, step=23820, lr=0.101000, batch loss=0.008214, epoch loss=0.199009 Batch=1079, step=23880, lr=0.100750, batch loss=0.000959, epoch loss=0.199969 Batch=1139, step=23940, lr=0.100500, batch loss=0.009301, epoch loss=0.209270 Batch=1199, step=24000, lr=0.100250, batch loss=0.004563, epoch loss=0.213833 Epoch=19, step=24000, lr=0.100250, epoch loss=0.213833 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-21 11:57.00: Job failed: Failed: Build failed