2025-05-21 20:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (dbcdf2e378618e3c8d1d5ac89a107cc5a9fab6ef) (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 dbcdf2e3 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 20:19.55: 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 20:19.55: 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 20:19.55: Waiting for resource in pool OCluster 2025-05-21 20:19.55: Waiting for worker… 2025-05-21 20:30.27: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at dbcdf2e3 Update test target (logging multicore_cc) (from ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a) 2025-05-21 20:30.31 ---> 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 20:30.31 ---> 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 20:30.31 ---> 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 20:30.31 ---> using "845852dbffbb340f0f2c13031c11ce1dfd03ae99790c5dc859c7ad5e21d0e7a8" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-21 20:30.31 ---> 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..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 20:30.31 ---> using "8cc7e1c64bc8656f9760e9ef22c654e746ffbd9d197431bb832a2894a3229e8c" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-21 20:30.31 ---> 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 20:30.31 ---> using "8a6b0e24c4a1018c066212c7312abb80eff8a083fc3c10f113e755275e1c03a6" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-21 20:30.31 ---> 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 3s (3213 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 20:30.31 ---> 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 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_minidebug.2.2.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> installed seq.base -> 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 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 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 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-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed pprint.20230830 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed base.v0.17.2 -> installed printbox-text.0.12 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed printbox-md.0.12 -> installed ctypes-foreign.0.23.0 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_string.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 20:30.31 ---> using "70dab8f0360d6d3056e7a593658941759639868bb7c6fa48fcefb04853f9f242" from cache /src: (copy (src .) (dst /src)) 2025-05-21 20:30.32 ---> saved as "8f53b493c58d3de8bdedebdd35f0d93e3b8b20124762417c22dfc7da16aac9d6" /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/cd20d154c92207992539a116701363d8/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/cd20d154c92207992539a116701363d8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd20d154c92207992539a116701363d8/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/94f78977439afa7268094232365e662c/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/cd20d154c92207992539a116701363d8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd20d154c92207992539a116701363d8/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/cd20d154c92207992539a116701363d8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd20d154c92207992539a116701363d8/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/cd20d154c92207992539a116701363d8/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/cd20d154c92207992539a116701363d8/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/cd20d154c92207992539a116701363d8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd20d154c92207992539a116701363d8/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/cd20d154c92207992539a116701363d8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd20d154c92207992539a116701363d8/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/cd20d154c92207992539a116701363d8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd20d154c92207992539a116701363d8/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/cd20d154c92207992539a116701363d8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd20d154c92207992539a116701363d8/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/cd20d154c92207992539a116701363d8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd20d154c92207992539a116701363d8/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/cd20d154c92207992539a116701363d8/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=0.197750, batch loss=1.069805, epoch loss=41.603927 Batch=659, step=660, lr=0.197500, batch loss=0.482417, epoch loss=42.086344 Batch=719, step=720, lr=0.197250, batch loss=0.411157, epoch loss=42.497502 Batch=779, step=780, lr=0.197000, batch loss=0.469341, epoch loss=42.966842 Batch=839, step=840, lr=0.196750, batch loss=0.443876, epoch loss=43.410718 Batch=899, step=900, lr=0.196250, batch loss=0.383103, epoch loss=43.793822 Batch=959, step=960, lr=0.196000, batch loss=0.241940, epoch loss=44.035762 Batch=1019, step=1020, lr=0.195750, batch loss=0.451742, epoch loss=44.487504 Batch=1079, step=1080, lr=0.195500, batch loss=0.259404, epoch loss=44.746908 Batch=1139, step=1140, lr=0.195250, batch loss=0.339181, epoch loss=45.086089 Batch=1199, step=1200, lr=0.195250, batch loss=0.261438, epoch loss=45.347527 Epoch=0, step=1200, lr=0.195250, epoch loss=45.347527 Batch=59, step=1260, lr=0.194750, batch loss=0.260714, epoch loss=0.260714 Batch=119, step=1320, lr=0.194500, batch loss=0.202941, epoch loss=0.463654 Batch=179, step=1380, lr=0.194500, batch loss=0.244129, epoch loss=0.707784 Batch=239, step=1440, lr=0.194250, batch loss=0.348204, epoch loss=1.055987 Batch=299, step=1500, lr=0.194000, batch loss=0.239206, epoch loss=1.295193 Batch=359, step=1560, lr=0.193500, batch loss=0.318979, epoch loss=1.614172 Batch=419, step=1620, lr=0.193250, batch loss=0.311532, epoch loss=1.925704 Batch=479, step=1680, lr=0.193000, batch loss=0.276075, epoch loss=2.201779 Batch=539, step=1740, lr=0.193000, batch loss=0.211536, epoch loss=2.413315 Batch=599, step=1800, lr=0.192750, batch loss=0.259830, epoch loss=2.673145 Batch=659, step=1860, lr=0.192500, batch loss=0.368278, epoch loss=3.041423 Batch=719, step=1920, lr=0.192250, batch loss=0.365940, epoch loss=3.407363 Batch=779, step=1980, lr=0.191750, batch loss=0.381139, epoch loss=3.788501 Batch=839, step=2040, lr=0.191750, batch loss=0.340725, epoch loss=4.129227 Batch=899, step=2100, lr=0.191250, batch loss=0.295450, epoch loss=4.424677 Batch=959, step=2160, lr=0.191000, batch loss=0.215952, epoch loss=4.640629 Batch=1019, step=2220, lr=0.190750, batch loss=0.326980, epoch loss=4.967608 Batch=1079, step=2280, lr=0.190500, batch loss=0.198723, epoch loss=5.166332 Batch=1139, step=2340, lr=0.190500, batch loss=0.267426, epoch loss=5.433758 Batch=1199, step=2400, lr=0.190250, batch loss=0.215412, epoch loss=5.649169 Epoch=1, step=2400, lr=0.190250, epoch loss=5.649169 Batch=59, step=2460, lr=0.190000, batch loss=0.227040, epoch loss=0.227040 Batch=119, step=2520, lr=0.189750, batch loss=0.186570, epoch loss=0.413610 Batch=179, step=2580, lr=0.189500, batch loss=0.218573, epoch loss=0.632182 Batch=239, step=2640, lr=0.189250, batch loss=0.327220, epoch loss=0.959402 Batch=299, step=2700, lr=0.188750, batch loss=0.221195, epoch loss=1.180597 Batch=359, step=2760, lr=0.188750, batch loss=0.297426, epoch loss=1.478023 Batch=419, step=2820, lr=0.188250, batch loss=0.287296, epoch loss=1.765319 Batch=479, step=2880, lr=0.188250, batch loss=0.261157, epoch loss=2.026476 Batch=539, step=2940, lr=0.187750, batch loss=0.201558, epoch loss=2.228034 Batch=599, step=3000, lr=0.187750, batch loss=0.246642, epoch loss=2.474676 Batch=659, step=3060, lr=0.187250, batch loss=0.348688, epoch loss=2.823364 Batch=719, step=3120, lr=0.187000, batch loss=0.348329, epoch loss=3.171693 Batch=779, step=3180, lr=0.187000, batch loss=0.362413, epoch loss=3.534106 Batch=839, step=3240, lr=0.186750, batch loss=0.325049, epoch loss=3.859155 Batch=899, step=3300, lr=0.186500, batch loss=0.294532, epoch loss=4.153687 Batch=959, step=3360, lr=0.186250, batch loss=0.227119, epoch loss=4.380806 Batch=1019, step=3420, lr=0.185750, batch loss=0.344929, epoch loss=4.725736 Batch=1079, step=3480, lr=0.185500, batch loss=0.223105, epoch loss=4.948841 Batch=1139, step=3540, lr=0.185500, batch loss=0.266354, epoch loss=5.215195 Batch=1199, step=3600, lr=0.185000, batch loss=0.200707, epoch loss=5.415902 Epoch=2, step=3600, lr=0.185000, epoch loss=5.415902 Batch=59, step=3660, lr=0.184750, batch loss=0.223282, epoch loss=0.223282 Batch=119, step=3720, lr=0.184500, batch loss=0.184758, epoch loss=0.408040 Batch=179, step=3780, lr=0.184250, batch loss=0.212660, epoch loss=0.620700 Batch=239, step=3840, lr=0.184000, batch loss=0.317220, epoch loss=0.937920 Batch=299, step=3900, lr=0.184000, batch loss=0.203753, epoch loss=1.141673 Batch=359, step=3960, lr=0.183500, batch loss=0.283161, epoch loss=1.424834 Batch=419, step=4020, lr=0.183500, batch loss=0.271914, epoch loss=1.696749 Batch=479, step=4080, lr=0.183000, batch loss=0.246081, epoch loss=1.942830 Batch=539, step=4140, lr=0.182750, batch loss=0.194119, epoch loss=2.136949 Batch=599, step=4200, lr=0.182750, batch loss=0.231092, epoch loss=2.368042 Batch=659, step=4260, lr=0.182250, batch loss=0.336222, epoch loss=2.704264 Batch=719, step=4320, lr=0.182250, batch loss=0.342122, epoch loss=3.046386 Batch=779, step=4380, lr=0.181750, batch loss=0.351784, epoch loss=3.398170 Batch=839, step=4440, lr=0.181750, batch loss=0.315898, epoch loss=3.714067 Batch=899, step=4500, lr=0.181500, batch loss=0.288674, epoch loss=4.002741 Batch=959, step=4560, lr=0.181000, batch loss=0.247409, epoch loss=4.250150 Batch=1019, step=4620, lr=0.180750, batch loss=0.367412, epoch loss=4.617562 Batch=1079, step=4680, lr=0.180500, batch loss=0.199650, epoch loss=4.817212 Batch=1139, step=4740, lr=0.180250, batch loss=0.232403, epoch loss=5.049615 Batch=1199, step=4800, lr=0.180250, batch loss=0.191440, epoch loss=5.241055 Epoch=3, step=4800, lr=0.180250, epoch loss=5.241055 Batch=59, step=4860, lr=0.179750, batch loss=0.230588, epoch loss=0.230588 Batch=119, step=4920, lr=0.179500, batch loss=0.188553, epoch loss=0.419142 Batch=179, step=4980, lr=0.179250, batch loss=0.206146, epoch loss=0.625288 Batch=239, step=5040, lr=0.179000, batch loss=0.307757, epoch loss=0.933045 Batch=299, step=5100, lr=0.178750, batch loss=0.208952, epoch loss=1.141997 Batch=359, step=5160, lr=0.178500, batch loss=0.273708, epoch loss=1.415705 Batch=419, step=5220, lr=0.178500, batch loss=0.265785, epoch loss=1.681491 Batch=479, step=5280, lr=0.178250, batch loss=0.241024, epoch loss=1.922515 Batch=539, step=5340, lr=0.178000, batch loss=0.189206, epoch loss=2.111720 Batch=599, step=5400, lr=0.177750, batch loss=0.231315, epoch loss=2.343036 Batch=659, step=5460, lr=0.177250, batch loss=0.323301, epoch loss=2.666337 Batch=719, step=5520, lr=0.177000, batch loss=0.326426, epoch loss=2.992763 Batch=779, step=5580, lr=0.177000, batch loss=0.349085, epoch loss=3.341848 Batch=839, step=5640, lr=0.176750, batch loss=0.305957, epoch loss=3.647805 Batch=899, step=5700, lr=0.176500, batch loss=0.264403, epoch loss=3.912207 Batch=959, step=5760, lr=0.176250, batch loss=0.198793, epoch loss=4.111001 Batch=1019, step=5820, lr=0.175750, batch loss=0.310233, epoch loss=4.421234 Batch=1079, step=5880, lr=0.175500, batch loss=0.191345, epoch loss=4.612579 Batch=1139, step=5940, lr=0.175250, batch loss=0.221714, epoch loss=4.834294 Batch=1199, step=6000, lr=0.175250, batch loss=0.185196, epoch loss=5.019489 Epoch=4, step=6000, lr=0.175250, epoch loss=5.019489 Batch=59, step=6060, lr=0.175000, batch loss=0.218735, epoch loss=0.218735 Batch=119, step=6120, lr=0.174500, batch loss=0.182450, epoch loss=0.401184 Batch=179, step=6180, lr=0.174250, batch loss=0.200507, epoch loss=0.601691 Batch=239, step=6240, lr=0.174000, batch loss=0.301786, epoch loss=0.903477 Batch=299, step=6300, lr=0.173750, batch loss=0.210356, epoch loss=1.113833 Batch=359, step=6360, lr=0.173500, batch loss=0.275389, epoch loss=1.389222 Batch=419, step=6420, lr=0.173250, batch loss=0.264909, epoch loss=1.654130 Batch=479, step=6480, lr=0.173000, batch loss=0.243938, epoch loss=1.898068 Batch=539, step=6540, lr=0.173000, batch loss=0.193574, epoch loss=2.091642 Batch=599, step=6600, lr=0.172500, batch loss=0.236130, epoch loss=2.327772 Batch=659, step=6660, lr=0.172250, batch loss=0.311454, epoch loss=2.639226 Batch=719, step=6720, lr=0.172250, batch loss=0.313230, epoch loss=2.952456 Batch=779, step=6780, lr=0.171750, batch loss=0.333156, epoch loss=3.285612 Batch=839, step=6840, lr=0.171500, batch loss=0.302889, epoch loss=3.588501 Batch=899, step=6900, lr=0.171250, batch loss=0.268563, epoch loss=3.857064 Batch=959, step=6960, lr=0.171000, batch loss=0.209954, epoch loss=4.067018 Batch=1019, step=7020, lr=0.170750, batch loss=0.326668, epoch loss=4.393686 Batch=1079, step=7080, lr=0.170500, batch loss=0.176117, epoch loss=4.569803 Batch=1139, step=7140, lr=0.170250, batch loss=0.215205, epoch loss=4.785008 Batch=1199, step=7200, lr=0.170250, batch loss=0.181439, epoch loss=4.966447 Epoch=5, step=7200, lr=0.170250, epoch loss=4.966447 Batch=59, step=7260, lr=0.169750, batch loss=0.219485, epoch loss=0.219485 Batch=119, step=7320, lr=0.169500, batch loss=0.184808, epoch loss=0.404292 Batch=179, step=7380, lr=0.169250, batch loss=0.194967, epoch loss=0.599259 Batch=239, step=7440, lr=0.169250, batch loss=0.290521, epoch loss=0.889780 Batch=299, step=7500, lr=0.168750, batch loss=0.209487, epoch loss=1.099267 Batch=359, step=7560, lr=0.168500, batch loss=0.262787, epoch loss=1.362054 Batch=419, step=7620, lr=0.168500, batch loss=0.258080, epoch loss=1.620135 Batch=479, step=7680, lr=0.168000, batch loss=0.235608, epoch loss=1.855743 Batch=539, step=7740, lr=0.167750, batch loss=0.190698, epoch loss=2.046441 Batch=599, step=7800, lr=0.167500, batch loss=0.229618, epoch loss=2.276059 Batch=659, step=7860, lr=0.167500, batch loss=0.303776, epoch loss=2.579835 Batch=719, step=7920, lr=0.167000, batch loss=0.310691, epoch loss=2.890526 Batch=779, step=7980, lr=0.167000, batch loss=0.327933, epoch loss=3.218460 Batch=839, step=8040, lr=0.166750, batch loss=0.293610, epoch loss=3.512070 Batch=899, step=8100, lr=0.166250, batch loss=0.261761, epoch loss=3.773831 Batch=959, step=8160, lr=0.166000, batch loss=0.197898, epoch loss=3.971729 Batch=1019, step=8220, lr=0.165750, batch loss=0.325911, epoch loss=4.297641 Batch=1079, step=8280, lr=0.165750, batch loss=0.187898, epoch loss=4.485539 Batch=1139, step=8340, lr=0.165250, batch loss=0.212247, epoch loss=4.697785 Batch=1199, step=8400, lr=0.165250, batch loss=0.174847, epoch loss=4.872633 Epoch=6, step=8400, lr=0.165250, epoch loss=4.872633 Batch=59, step=8460, lr=0.164750, batch loss=0.227829, epoch loss=0.227829 Batch=119, step=8520, lr=0.164500, batch loss=0.176187, epoch loss=0.404016 Batch=179, step=8580, lr=0.164250, batch loss=0.188889, epoch loss=0.592905 Batch=239, step=8640, lr=0.164250, batch loss=0.279018, epoch loss=0.871923 Batch=299, step=8700, lr=0.163750, batch loss=0.194093, epoch loss=1.066016 Batch=359, step=8760, lr=0.163500, batch loss=0.246961, epoch loss=1.312978 Batch=419, step=8820, lr=0.163250, batch loss=0.245375, epoch loss=1.558353 Batch=479, step=8880, lr=0.163250, batch loss=0.228954, epoch loss=1.787307 Batch=539, step=8940, lr=0.162750, batch loss=0.177969, epoch loss=1.965276 Batch=599, step=9000, lr=0.162500, batch loss=0.217703, epoch loss=2.182978 Batch=659, step=9060, lr=0.162500, batch loss=0.295098, epoch loss=2.478077 Batch=719, step=9120, lr=0.162000, batch loss=0.298031, epoch loss=2.776108 Batch=779, step=9180, lr=0.161750, batch loss=0.316647, epoch loss=3.092755 Batch=839, step=9240, lr=0.161750, batch loss=0.281509, epoch loss=3.374264 Batch=899, step=9300, lr=0.161250, batch loss=0.251619, epoch loss=3.625883 Batch=959, step=9360, lr=0.161000, batch loss=0.188425, epoch loss=3.814309 Batch=1019, step=9420, lr=0.160750, batch loss=0.318277, epoch loss=4.132586 Batch=1079, step=9480, lr=0.160500, batch loss=0.185630, epoch loss=4.318215 Batch=1139, step=9540, lr=0.160250, batch loss=0.213462, epoch loss=4.531677 Batch=1199, step=9600, lr=0.160250, batch loss=0.167758, epoch loss=4.699435 Epoch=7, step=9600, lr=0.160250, epoch loss=4.699435 Batch=59, step=9660, lr=0.160000, batch loss=0.210763, epoch loss=0.210763 Batch=119, step=9720, lr=0.159750, batch loss=0.171203, epoch loss=0.381967 Batch=179, step=9780, lr=0.159500, batch loss=0.179613, epoch loss=0.561579 Batch=239, step=9840, lr=0.159000, batch loss=0.261175, epoch loss=0.822754 Batch=299, step=9900, lr=0.159000, batch loss=0.187801, epoch loss=1.010555 Batch=359, step=9960, lr=0.158750, batch loss=0.242015, epoch loss=1.252571 Batch=419, step=10020, lr=0.158500, batch loss=0.234674, epoch loss=1.487244 Batch=479, step=10080, lr=0.158250, batch loss=0.220207, epoch loss=1.707452 Batch=539, step=10140, lr=0.158000, batch loss=0.170546, epoch loss=1.877998 Batch=599, step=10200, lr=0.157750, batch loss=0.202673, epoch loss=2.080671 Batch=659, step=10260, lr=0.157500, batch loss=0.282189, epoch loss=2.362860 Batch=719, step=10320, lr=0.157250, batch loss=0.286933, epoch loss=2.649793 Batch=779, step=10380, lr=0.157000, batch loss=0.295875, epoch loss=2.945669 Batch=839, step=10440, lr=0.156750, batch loss=0.267093, epoch loss=3.212762 Batch=899, step=10500, lr=0.156500, batch loss=0.244992, epoch loss=3.457754 Batch=959, step=10560, lr=0.156250, batch loss=0.193407, epoch loss=3.651161 Batch=1019, step=10620, lr=0.156000, batch loss=0.281230, epoch loss=3.932391 Batch=1079, step=10680, lr=0.155500, batch loss=0.166964, epoch loss=4.099355 Batch=1139, step=10740, lr=0.155500, batch loss=0.200200, epoch loss=4.299555 Batch=1199, step=10800, lr=0.155250, batch loss=0.154333, epoch loss=4.453888 Epoch=8, step=10800, lr=0.155250, epoch loss=4.453888 Batch=59, step=10860, lr=0.154750, batch loss=0.180306, epoch loss=0.180306 Batch=119, step=10920, lr=0.154750, batch loss=0.151290, epoch loss=0.331597 Batch=179, step=10980, lr=0.154500, batch loss=0.166376, epoch loss=0.497972 Batch=239, step=11040, lr=0.154250, batch loss=0.243581, epoch loss=0.741554 Batch=299, step=11100, lr=0.153750, batch loss=0.167830, epoch loss=0.909383 Batch=359, step=11160, lr=0.153500, batch loss=0.222265, epoch loss=1.131649 Batch=419, step=11220, lr=0.153500, batch loss=0.228706, epoch loss=1.360355 Batch=479, step=11280, lr=0.153250, batch loss=0.204791, epoch loss=1.565146 Batch=539, step=11340, lr=0.153000, batch loss=0.159110, epoch loss=1.724255 Batch=599, step=11400, lr=0.152750, batch loss=0.185652, epoch loss=1.909907 Batch=659, step=11460, lr=0.152250, batch loss=0.262981, epoch loss=2.172888 Batch=719, step=11520, lr=0.152250, batch loss=0.257543, epoch loss=2.430431 Batch=779, step=11580, lr=0.152000, batch loss=0.271423, epoch loss=2.701855 Batch=839, step=11640, lr=0.151750, batch loss=0.257447, epoch loss=2.959301 Batch=899, step=11700, lr=0.151500, batch loss=0.217333, epoch loss=3.176635 Batch=959, step=11760, lr=0.151250, batch loss=0.177125, epoch loss=3.353759 Batch=1019, step=11820, lr=0.151000, batch loss=0.256233, epoch loss=3.609992 Batch=1079, step=11880, lr=0.150750, batch loss=0.132995, epoch loss=3.742987 Batch=1139, step=11940, lr=0.150500, batch loss=0.164395, epoch loss=3.907383 Batch=1199, step=12000, lr=0.150250, batch loss=0.139173, epoch loss=4.046555 Epoch=9, step=12000, lr=0.150250, epoch loss=4.046555 Batch=59, step=12060, lr=0.149750, batch loss=0.175106, epoch loss=0.175106 Batch=119, step=12120, lr=0.149750, batch loss=0.148954, epoch loss=0.324060 Batch=179, step=12180, lr=0.149250, batch loss=0.150280, epoch loss=0.474341 Batch=239, step=12240, lr=0.149250, batch loss=0.218271, epoch loss=0.692612 Batch=299, step=12300, lr=0.149000, batch loss=0.144582, epoch loss=0.837194 Batch=359, step=12360, lr=0.148750, batch loss=0.197397, epoch loss=1.034592 Batch=419, step=12420, lr=0.148500, batch loss=0.209682, epoch loss=1.244274 Batch=479, step=12480, lr=0.148250, batch loss=0.176888, epoch loss=1.421162 Batch=539, step=12540, lr=0.148000, batch loss=0.144764, epoch loss=1.565925 Batch=599, step=12600, lr=0.147750, batch loss=0.148789, epoch loss=1.714714 Batch=659, step=12660, lr=0.147500, batch loss=0.220959, epoch loss=1.935673 Batch=719, step=12720, lr=0.147250, batch loss=0.225957, epoch loss=2.161630 Batch=779, step=12780, lr=0.147000, batch loss=0.241878, epoch loss=2.403508 Batch=839, step=12840, lr=0.146500, batch loss=0.225680, epoch loss=2.629188 Batch=899, step=12900, lr=0.146500, batch loss=0.190248, epoch loss=2.819435 Batch=959, step=12960, lr=0.146000, batch loss=0.171184, epoch loss=2.990620 Batch=1019, step=13020, lr=0.145750, batch loss=0.318890, epoch loss=3.309510 Batch=1079, step=13080, lr=0.145750, batch loss=0.113576, epoch loss=3.423086 Batch=1139, step=13140, lr=0.145500, batch loss=0.157049, epoch loss=3.580135 Batch=1199, step=13200, lr=0.145250, batch loss=0.119312, epoch loss=3.699447 Epoch=10, step=13200, lr=0.145250, epoch loss=3.699447 Batch=59, step=13260, lr=0.145000, batch loss=0.142888, epoch loss=0.142888 Batch=119, step=13320, lr=0.144750, batch loss=0.120559, epoch loss=0.263446 Batch=179, step=13380, lr=0.144500, batch loss=0.128592, epoch loss=0.392038 Batch=239, step=13440, lr=0.144250, batch loss=0.192672, epoch loss=0.584710 Batch=299, step=13500, lr=0.144000, batch loss=0.116414, epoch loss=0.701125 Batch=359, step=13560, lr=0.143750, batch loss=0.164466, epoch loss=0.865591 Batch=419, step=13620, lr=0.143500, batch loss=0.166818, epoch loss=1.032409 Batch=479, step=13680, lr=0.143000, batch loss=0.150032, epoch loss=1.182441 Batch=539, step=13740, lr=0.142750, batch loss=0.116278, epoch loss=1.298719 Batch=599, step=13800, lr=0.142750, batch loss=0.120630, epoch loss=1.419350 Batch=659, step=13860, lr=0.142500, batch loss=0.181043, epoch loss=1.600393 Batch=719, step=13920, lr=0.142250, batch loss=0.194602, epoch loss=1.794995 Batch=779, step=13980, lr=0.142000, batch loss=0.224292, epoch loss=2.019287 Batch=839, step=14040, lr=0.141500, batch loss=0.199968, epoch loss=2.219255 Batch=899, step=14100, lr=0.141500, batch loss=0.214431, epoch loss=2.433686 Batch=959, step=14160, lr=0.141250, batch loss=0.101906, epoch loss=2.535592 Batch=1019, step=14220, lr=0.141000, batch loss=0.197818, epoch loss=2.733410 Batch=1079, step=14280, lr=0.140750, batch loss=0.077122, epoch loss=2.810531 Batch=1139, step=14340, lr=0.140500, batch loss=0.115385, epoch loss=2.925917 Batch=1199, step=14400, lr=0.140250, batch loss=0.085506, epoch loss=3.011423 Epoch=11, step=14400, lr=0.140250, epoch loss=3.011423 Batch=59, step=14460, lr=0.140000, batch loss=0.109780, epoch loss=0.109780 Batch=119, step=14520, lr=0.139500, batch loss=0.112140, epoch loss=0.221920 Batch=179, step=14580, lr=0.139250, batch loss=0.102590, epoch loss=0.324510 Batch=239, step=14640, lr=0.139000, batch loss=0.141157, epoch loss=0.465667 Batch=299, step=14700, lr=0.139000, batch loss=0.077815, epoch loss=0.543482 Batch=359, step=14760, lr=0.138750, batch loss=0.120160, epoch loss=0.663642 Batch=419, step=14820, lr=0.138500, batch loss=0.132871, epoch loss=0.796513 Batch=479, step=14880, lr=0.138250, batch loss=0.099149, epoch loss=0.895662 Batch=539, step=14940, lr=0.138000, batch loss=0.093280, epoch loss=0.988942 Batch=599, step=15000, lr=0.137750, batch loss=0.085979, epoch loss=1.074921 Batch=659, step=15060, lr=0.137500, batch loss=0.142636, epoch loss=1.217557 Batch=719, step=15120, lr=0.137250, batch loss=0.164022, epoch loss=1.381579 Batch=779, step=15180, lr=0.137000, batch loss=0.284939, epoch loss=1.666518 Batch=839, step=15240, lr=0.136750, batch loss=0.137042, epoch loss=1.803560 Batch=899, step=15300, lr=0.136500, batch loss=0.153305, epoch loss=1.956865 Batch=959, step=15360, lr=0.136250, batch loss=0.072501, epoch loss=2.029366 Batch=1019, step=15420, lr=0.136000, batch loss=0.169761, epoch loss=2.199127 Batch=1079, step=15480, lr=0.135750, batch loss=0.036933, epoch loss=2.236060 Batch=1139, step=15540, lr=0.135500, batch loss=0.088257, epoch loss=2.324317 Batch=1199, step=15600, lr=0.135250, batch loss=0.056705, epoch loss=2.381022 Epoch=12, step=15600, lr=0.135250, epoch loss=2.381022 Batch=59, step=15660, lr=0.135000, batch loss=0.080331, epoch loss=0.080331 Batch=119, step=15720, lr=0.134500, batch loss=0.136749, epoch loss=0.217080 Batch=179, step=15780, lr=0.134500, batch loss=0.097698, epoch loss=0.314778 Batch=239, step=15840, lr=0.134250, batch loss=0.097354, epoch loss=0.412132 Batch=299, step=15900, lr=0.134000, batch loss=0.045069, epoch loss=0.457201 Batch=359, step=15960, lr=0.133750, batch loss=0.081090, epoch loss=0.538291 Batch=419, step=16020, lr=0.133250, batch loss=0.082619, epoch loss=0.620910 Batch=479, step=16080, lr=0.133250, batch loss=0.067531, epoch loss=0.688442 Batch=539, step=16140, lr=0.133000, batch loss=0.055970, epoch loss=0.744412 Batch=599, step=16200, lr=0.132500, batch loss=0.103706, epoch loss=0.848117 Batch=659, step=16260, lr=0.132250, batch loss=0.079196, epoch loss=0.927314 Batch=719, step=16320, lr=0.132250, batch loss=0.087360, epoch loss=1.014674 Batch=779, step=16380, lr=0.131750, batch loss=0.113709, epoch loss=1.128383 Batch=839, step=16440, lr=0.131750, batch loss=0.112731, epoch loss=1.241115 Batch=899, step=16500, lr=0.131500, batch loss=0.144111, epoch loss=1.385226 Batch=959, step=16560, lr=0.131250, batch loss=0.048244, epoch loss=1.433470 Batch=1019, step=16620, lr=0.131000, batch loss=0.113744, epoch loss=1.547215 Batch=1079, step=16680, lr=0.130750, batch loss=0.022077, epoch loss=1.569292 Batch=1139, step=16740, lr=0.130500, batch loss=0.052255, epoch loss=1.621546 Batch=1199, step=16800, lr=0.130250, batch loss=0.029685, epoch loss=1.651232 Epoch=13, step=16800, lr=0.130250, epoch loss=1.651232 Batch=59, step=16860, lr=0.130000, batch loss=0.038225, epoch loss=0.038225 Batch=119, step=16920, lr=0.129750, batch loss=0.058418, epoch loss=0.096643 Batch=179, step=16980, lr=0.129500, batch loss=0.049406, epoch loss=0.146049 Batch=239, step=17040, lr=0.129250, batch loss=0.069150, epoch loss=0.215199 Batch=299, step=17100, lr=0.128750, batch loss=0.034260, epoch loss=0.249459 Batch=359, step=17160, lr=0.128750, batch loss=0.052745, epoch loss=0.302203 Batch=419, step=17220, lr=0.128250, batch loss=0.092175, epoch loss=0.394379 Batch=479, step=17280, lr=0.128250, batch loss=0.023696, epoch loss=0.418075 Batch=539, step=17340, lr=0.128000, batch loss=0.027545, epoch loss=0.445619 Batch=599, step=17400, lr=0.127750, batch loss=0.037380, epoch loss=0.482999 Batch=659, step=17460, lr=0.127250, batch loss=0.051510, epoch loss=0.534509 Batch=719, step=17520, lr=0.127000, batch loss=0.062274, epoch loss=0.596784 Batch=779, step=17580, lr=0.126750, batch loss=0.066044, epoch loss=0.662827 Batch=839, step=17640, lr=0.126500, batch loss=0.099700, epoch loss=0.762527 Batch=899, step=17700, lr=0.126250, batch loss=0.049625, epoch loss=0.812152 Batch=959, step=17760, lr=0.126000, batch loss=0.019055, epoch loss=0.831207 Batch=1019, step=17820, lr=0.126000, batch loss=0.051009, epoch loss=0.882216 Batch=1079, step=17880, lr=0.125500, batch loss=0.045777, epoch loss=0.927993 Batch=1139, step=17940, lr=0.125500, batch loss=0.073344, epoch loss=1.001338 Batch=1199, step=18000, lr=0.125250, batch loss=0.022092, epoch loss=1.023429 Epoch=14, step=18000, lr=0.125250, epoch loss=1.023429 Batch=59, step=18060, lr=0.125000, batch loss=0.016853, epoch loss=0.016853 Batch=119, step=18120, lr=0.124500, batch loss=0.020232, epoch loss=0.037085 Batch=179, step=18180, lr=0.124250, batch loss=0.029076, epoch loss=0.066161 Batch=239, step=18240, lr=0.124000, batch loss=0.036908, epoch loss=0.103069 Batch=299, step=18300, lr=0.123750, batch loss=0.009031, epoch loss=0.112100 Batch=359, step=18360, lr=0.123750, batch loss=0.024350, epoch loss=0.136451 Batch=419, step=18420, lr=0.123500, batch loss=0.028061, epoch loss=0.164512 Batch=479, step=18480, lr=0.123250, batch loss=0.019573, epoch loss=0.184085 Batch=539, step=18540, lr=0.123000, batch loss=0.044642, epoch loss=0.228728 Batch=599, step=18600, lr=0.122750, batch loss=0.025277, epoch loss=0.254005 Batch=659, step=18660, lr=0.122500, batch loss=0.034527, epoch loss=0.288532 Batch=719, step=18720, lr=0.122250, batch loss=0.034123, epoch loss=0.322655 Batch=779, step=18780, lr=0.122000, batch loss=0.098231, epoch loss=0.420886 Batch=839, step=18840, lr=0.121500, batch loss=0.071613, epoch loss=0.492499 Batch=899, step=18900, lr=0.121500, batch loss=0.087399, epoch loss=0.579898 Batch=959, step=18960, lr=0.121250, batch loss=0.014098, epoch loss=0.593996 Batch=1019, step=19020, lr=0.121000, batch loss=0.018156, epoch loss=0.612152 Batch=1079, step=19080, lr=0.120750, batch loss=0.003830, epoch loss=0.615982 Batch=1139, step=19140, lr=0.120500, batch loss=0.019234, epoch loss=0.635216 Batch=1199, step=19200, lr=0.120000, batch loss=0.009529, epoch loss=0.644745 Epoch=15, step=19200, lr=0.120000, epoch loss=0.644745 Batch=59, step=19260, lr=0.120000, batch loss=0.004169, epoch loss=0.004169 Batch=119, step=19320, lr=0.119500, batch loss=0.015390, epoch loss=0.019559 Batch=179, step=19380, lr=0.119500, batch loss=0.031235, epoch loss=0.050795 Batch=239, step=19440, lr=0.119250, batch loss=0.021903, epoch loss=0.072697 Batch=299, step=19500, lr=0.119000, batch loss=0.006716, epoch loss=0.079413 Batch=359, step=19560, lr=0.118750, batch loss=0.016379, epoch loss=0.095793 Batch=419, step=19620, lr=0.118250, batch loss=0.018893, epoch loss=0.114686 Batch=479, step=19680, lr=0.118000, batch loss=0.010994, epoch loss=0.125680 Batch=539, step=19740, lr=0.118000, batch loss=0.019446, epoch loss=0.145126 Batch=599, step=19800, lr=0.117750, batch loss=0.019862, epoch loss=0.164988 Batch=659, step=19860, lr=0.117500, batch loss=0.018250, epoch loss=0.183238 Batch=719, step=19920, lr=0.117250, batch loss=0.016006, epoch loss=0.199244 Batch=779, step=19980, lr=0.117000, batch loss=0.024777, epoch loss=0.224022 Batch=839, step=20040, lr=0.116500, batch loss=0.030447, epoch loss=0.254469 Batch=899, step=20100, lr=0.116500, batch loss=0.028622, epoch loss=0.283090 Batch=959, step=20160, lr=0.116250, batch loss=0.011860, epoch loss=0.294950 Batch=1019, step=20220, lr=0.116000, batch loss=0.014100, epoch loss=0.309049 Batch=1079, step=20280, lr=0.115750, batch loss=0.004962, epoch loss=0.314012 Batch=1139, step=20340, lr=0.115500, batch loss=0.018724, epoch loss=0.332736 Batch=1199, step=20400, lr=0.115250, batch loss=0.007717, epoch loss=0.340453 Epoch=16, step=20400, lr=0.115250, epoch loss=0.340453 Batch=59, step=20460, lr=0.114750, batch loss=0.003656, epoch loss=0.003656 Batch=119, step=20520, lr=0.114500, batch loss=0.008583, epoch loss=0.012239 Batch=179, step=20580, lr=0.114500, batch loss=0.016080, epoch loss=0.028319 Batch=239, step=20640, lr=0.114000, batch loss=0.012982, epoch loss=0.041301 Batch=299, step=20700, lr=0.114000, batch loss=0.003683, epoch loss=0.044984 Batch=359, step=20760, lr=0.113750, batch loss=0.013678, epoch loss=0.058662 Batch=419, step=20820, lr=0.113500, batch loss=0.016502, epoch loss=0.075164 Batch=479, step=20880, lr=0.113250, batch loss=0.005306, epoch loss=0.080469 Batch=539, step=20940, lr=0.113000, batch loss=0.016176, epoch loss=0.096646 Batch=599, step=21000, lr=0.112750, batch loss=0.019425, epoch loss=0.116071 Batch=659, step=21060, lr=0.112500, batch loss=0.014939, epoch loss=0.131010 Batch=719, step=21120, lr=0.112250, batch loss=0.039937, epoch loss=0.170947 Batch=779, step=21180, lr=0.112000, batch loss=0.078483, epoch loss=0.249430 Batch=839, step=21240, lr=0.111750, batch loss=0.026409, epoch loss=0.275839 Batch=899, step=21300, lr=0.111500, batch loss=0.035735, epoch loss=0.311574 Batch=959, step=21360, lr=0.111000, batch loss=0.009922, epoch loss=0.321496 Batch=1019, step=21420, lr=0.111000, batch loss=0.011206, epoch loss=0.332702 Batch=1079, step=21480, lr=0.110750, batch loss=0.001435, epoch loss=0.334137 Batch=1139, step=21540, lr=0.110500, batch loss=0.012741, epoch loss=0.346879 Batch=1199, step=21600, lr=0.110250, batch loss=0.005140, epoch loss=0.352018 Epoch=17, step=21600, lr=0.110250, epoch loss=0.352018 Batch=59, step=21660, lr=0.109750, batch loss=0.002323, epoch loss=0.002323 Batch=119, step=21720, lr=0.109750, batch loss=0.006893, epoch loss=0.009216 Batch=179, step=21780, lr=0.109500, batch loss=0.013504, epoch loss=0.022720 Batch=239, step=21840, lr=0.109250, batch loss=0.016574, epoch loss=0.039294 Batch=299, step=21900, lr=0.109000, batch loss=0.008379, epoch loss=0.047673 Batch=359, step=21960, lr=0.108750, batch loss=0.012993, epoch loss=0.060666 Batch=419, step=22020, lr=0.108500, batch loss=0.011380, epoch loss=0.072046 Batch=479, step=22080, lr=0.108250, batch loss=0.002846, epoch loss=0.074892 Batch=539, step=22140, lr=0.108000, batch loss=0.018432, epoch loss=0.093323 Batch=599, step=22200, lr=0.107750, batch loss=0.016702, epoch loss=0.110025 Batch=659, step=22260, lr=0.107500, batch loss=0.014857, epoch loss=0.124882 Batch=719, step=22320, lr=0.107250, batch loss=0.030757, epoch loss=0.155639 Batch=779, step=22380, lr=0.107000, batch loss=0.042387, epoch loss=0.198026 Batch=839, step=22440, lr=0.106750, batch loss=0.021443, epoch loss=0.219469 Batch=899, step=22500, lr=0.106500, batch loss=0.021939, epoch loss=0.241408 Batch=959, step=22560, lr=0.106250, batch loss=0.011672, epoch loss=0.253080 Batch=1019, step=22620, lr=0.106000, batch loss=0.009352, epoch loss=0.262432 Batch=1079, step=22680, lr=0.105750, batch loss=0.000000, epoch loss=0.262432 Batch=1139, step=22740, lr=0.105500, batch loss=0.009738, epoch loss=0.272169 Batch=1199, step=22800, lr=0.105250, batch loss=0.004408, epoch loss=0.276578 Epoch=18, step=22800, lr=0.105250, epoch loss=0.276578 Batch=59, step=22860, lr=0.105000, batch loss=0.001541, epoch loss=0.001541 Batch=119, step=22920, lr=0.104750, batch loss=0.005360, epoch loss=0.006900 Batch=179, step=22980, lr=0.104500, batch loss=0.010747, epoch loss=0.017647 Batch=239, step=23040, lr=0.104000, batch loss=0.008625, epoch loss=0.026272 Batch=299, step=23100, lr=0.104000, batch loss=0.009227, epoch loss=0.035499 Batch=359, step=23160, lr=0.103750, batch loss=0.013223, epoch loss=0.048723 Batch=419, step=23220, lr=0.103500, batch loss=0.010462, epoch loss=0.059185 Batch=479, step=23280, lr=0.103250, batch loss=0.002536, epoch loss=0.061721 Batch=539, step=23340, lr=0.103000, batch loss=0.017611, epoch loss=0.079332 Batch=599, step=23400, lr=0.102750, batch loss=0.013440, epoch loss=0.092772 Batch=659, step=23460, lr=0.102500, batch loss=0.009950, epoch loss=0.102722 Batch=719, step=23520, lr=0.102000, batch loss=0.017863, epoch loss=0.120585 Batch=779, step=23580, lr=0.102000, batch loss=0.021574, epoch loss=0.142159 Batch=839, step=23640, lr=0.101750, batch loss=0.026815, epoch loss=0.168974 Batch=899, step=23700, lr=0.101500, batch loss=0.021828, epoch loss=0.190802 Batch=959, step=23760, lr=0.101000, batch loss=0.008247, epoch loss=0.199049 Batch=1019, step=23820, lr=0.101000, batch loss=0.006894, epoch loss=0.205942 Batch=1079, step=23880, lr=0.100750, batch loss=0.001243, epoch loss=0.207186 Batch=1139, step=23940, lr=0.100500, batch loss=0.008386, epoch loss=0.215571 Batch=1199, step=24000, lr=0.100000, batch loss=0.004422, epoch loss=0.219993 Epoch=19, step=24000, lr=0.100000, epoch loss=0.219993 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 20:32.00: Job failed: Failed: Build failed