2025-03-20 14:55.23: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (367be2655cf44dcf622960079750a99cdec03fe8) (linux-x86_64:debian-11-5.3_opam-2.3) Base: ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 367be265 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c # debian-11-5.3_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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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 2025-03-20 14:55.23: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c-debian-11-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 14:55.23: Using OBuilder spec: ((from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c) (comment debian-11-5.3_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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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")) ) 2025-03-20 14:55.23: Waiting for resource in pool OCluster 2025-03-20 14:55.23: Waiting for worker… 2025-03-20 16:33.49: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 367be265 Load log_level earlier to consistently log all settings (from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c) 2025-03-20 16:40.07 ---> saved as "b4f3e3a5063982bbc841035e188663009352cabdae6127a84a77b2b1e7746a9c" /: (comment debian-11-5.3_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")) 2025-03-20 16:40.07 ---> saved as "837909cf357dbef762753eebac80775e6de312510185f4ca5a6cecd3ae4cd0bf" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. [NOTE] The 'jobs' option was reset, its value was 31 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=31 --global <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 16:42.05 ---> saved as "126754616a0883edf73855301c586b0218900498f80d24bfe653bbe0af0fda41" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-20 16:42.06 ---> saved as "f1a850b0d0b34fa431f0064c7e811f48129c9a3c72bcf8cfd6026d2ea544afa4" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 16:42.06 ---> saved as "2ee37b392ed39ae65bd872720b58ef9daa42c6c50406b47cee7e065de030dfee" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from 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) 2025-03-20 16:43.54 ---> saved as "43eed9b2620af14dda9b17d57d927cf8f18cd27565b6b6e5db1da1dd96506c0c" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 16:43.54 ---> saved as "eee4ab51503006ed17a134cdc5c6421120e9c30008e8e3f08820a8f175ee0658" /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) 2025-03-20 16:44.01 ---> saved as "d45ef0cc5707d4c54d822b83298a20b63ff049127299583bbf16035fef2798e7" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 16:44.02 ---> saved as "6e6b88f79a797b296eaca8a860e310bdaa5d1e291b4e740fa3a77a58120d4947" /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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" - Hit:1 http://deb.debian.org/debian bullseye InRelease - Get:2 http://deb.debian.org/debian-security bullseye-security InRelease [27.2 kB] - Get:3 http://deb.debian.org/debian bullseye-updates InRelease [44.1 kB] - Get:4 http://deb.debian.org/debian-security bullseye-security/main amd64 Packages [351 kB] - Fetched 422 kB in 2s (264 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 ... 18364 files and directories currently installed.) - Preparing to unpack .../0-libffi-dev_3.3-6_amd64.deb ... - Unpacking libffi-dev:amd64 (3.3-6) ... - Selecting previously unselected package libglib2.0-0:amd64. - Preparing to unpack .../1-libglib2.0-0_2.66.8-1+deb11u5_amd64.deb ... - Unpacking libglib2.0-0:amd64 (2.66.8-1+deb11u5) ... - Selecting previously unselected package libglib2.0-data. - Preparing to unpack .../2-libglib2.0-data_2.66.8-1+deb11u5_all.deb ... - Unpacking libglib2.0-data (2.66.8-1+deb11u5) ... - Selecting previously unselected package libicu67:amd64. - Preparing to unpack .../3-libicu67_67.1-7_amd64.deb ... - Unpacking libicu67:amd64 (67.1-7) ... - Selecting previously unselected package libxml2:amd64. - Preparing to unpack .../4-libxml2_2.9.10+dfsg-6.7+deb11u6_amd64.deb ... - Unpacking libxml2:amd64 (2.9.10+dfsg-6.7+deb11u6) ... - Selecting previously unselected package pkg-config. - Preparing to unpack .../5-pkg-config_0.29.2-1_amd64.deb ... - Unpacking pkg-config (0.29.2-1) ... - Selecting previously unselected package shared-mime-info. - Preparing to unpack .../6-shared-mime-info_2.0-1_amd64.deb ... - Unpacking shared-mime-info (2.0-1) ... - Selecting previously unselected package xdg-user-dirs. - Preparing to unpack .../7-xdg-user-dirs_0.17-2_amd64.deb ... - Unpacking xdg-user-dirs (0.17-2) ... - Setting up libicu67:amd64 (67.1-7) ... - Setting up xdg-user-dirs (0.17-2) ... - Setting up libglib2.0-0:amd64 (2.66.8-1+deb11u5) ... - No schema files found: doing nothing. - Setting up libffi-dev:amd64 (3.3-6) ... - Setting up libglib2.0-data (2.66.8-1+deb11u5) ... - Setting up pkg-config (0.29.2-1) ... - Setting up libxml2:amd64 (2.9.10+dfsg-6.7+deb11u6) ... - Setting up shared-mime-info (2.0-1) ... - Processing triggers for libc-bin (2.31-13+deb11u11) ... 2025-03-20 16:44.50 ---> saved as "7d6dc882b32c56ce1dcf8f0e2cb67013c923a371e419cdc24781a1e5ec204c2b" /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 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - 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 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - 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_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - 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 2.1.0 - 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 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 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 base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (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 integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (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_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 ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved 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 ptime.1.2.0 -> installed dune.3.17.2 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed jane-street-headers.v0.17.0 -> installed multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed sexplib.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> 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 ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> 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.2.1.0 -> 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) 2025-03-20 16:51.12 ---> saved as "3c3a3f1986f45c61f8052b049c03715cd4c05f94d7cbf1f1f151f3e64f31d438" /src: (copy (src .) (dst /src)) 2025-03-20 16:51.13 ---> saved as "7453d9c69c9d9dd0f6ba7451dc5e68f8380eb24ce7a807600438a98cbc308ad1" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (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/81a6cae97825563be5284fa759e81349/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bf38e579dbec80c0007306d65a41206b/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/81a6cae97825563be5284fa759e81349/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/81a6cae97825563be5284fa759e81349/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/81a6cae97825563be5284fa759e81349/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/81a6cae97825563be5284fa759e81349/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/81a6cae97825563be5284fa759e81349/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/81a6cae97825563be5284fa759e81349/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/81a6cae97825563be5284fa759e81349/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/81a6cae97825563be5284fa759e81349/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/81a6cae97825563be5284fa759e81349/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/81a6cae97825563be5284fa759e81349/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/81a6cae97825563be5284fa759e81349/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/81a6cae97825563be5284fa759e81349/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/81a6cae97825563be5284fa759e81349/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/81a6cae97825563be5284fa759e81349/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/81a6cae97825563be5284fa759e81349/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/81a6cae97825563be5284fa759e81349/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/81a6cae97825563be5284fa759e81349/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/81a6cae97825563be5284fa759e81349/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/81a6cae97825563be5284fa759e81349/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 cc, in the config file 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=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192250, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354863, epoch loss=3.394106 Batch=779, step=1980, lr=0.192000, batch loss=0.381433, epoch loss=3.775538 Batch=839, step=2040, lr=0.191750, batch loss=0.339631, epoch loss=4.115170 Batch=899, step=2100, lr=0.191500, batch loss=0.295240, epoch loss=4.410409 Batch=959, step=2160, lr=0.191250, batch loss=0.213981, epoch loss=4.624391 Batch=1019, step=2220, lr=0.191000, batch loss=0.331079, epoch loss=4.955470 Batch=1079, step=2280, lr=0.190750, batch loss=0.208102, epoch loss=5.163572 Batch=1139, step=2340, lr=0.190500, batch loss=0.278483, epoch loss=5.442055 Batch=1199, step=2400, lr=0.190250, batch loss=0.220758, epoch loss=5.662813 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662813 Batch=59, step=2460, lr=0.190000, batch loss=0.230316, epoch loss=0.230316 Batch=119, step=2520, lr=0.189750, batch loss=0.196012, epoch loss=0.426328 Batch=179, step=2580, lr=0.189500, batch loss=0.221143, epoch loss=0.647471 Batch=239, step=2640, lr=0.189250, batch loss=0.328107, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202987, epoch loss=1.178565 Batch=359, step=2760, lr=0.188750, batch loss=0.289855, epoch loss=1.468420 Batch=419, step=2820, lr=0.188500, batch loss=0.281795, epoch loss=1.750216 Batch=479, step=2880, lr=0.188250, batch loss=0.264783, epoch loss=2.014999 Batch=539, step=2940, lr=0.188000, batch loss=0.203872, epoch loss=2.218871 Batch=599, step=3000, lr=0.187750, batch loss=0.247992, epoch loss=2.466863 Batch=659, step=3060, lr=0.187500, batch loss=0.345121, epoch loss=2.811984 Batch=719, step=3120, lr=0.187250, batch loss=0.343477, epoch loss=3.155461 Batch=779, step=3180, lr=0.187000, batch loss=0.367052, epoch loss=3.522514 Batch=839, step=3240, lr=0.186750, batch loss=0.321757, epoch loss=3.844270 Batch=899, step=3300, lr=0.186500, batch loss=0.280259, epoch loss=4.124529 Batch=959, step=3360, lr=0.186250, batch loss=0.204717, epoch loss=4.329246 Batch=1019, step=3420, lr=0.186000, batch loss=0.319611, epoch loss=4.648857 Batch=1079, step=3480, lr=0.185750, batch loss=0.193428, epoch loss=4.842285 Batch=1139, step=3540, lr=0.185500, batch loss=0.240972, epoch loss=5.083257 Batch=1199, step=3600, lr=0.185250, batch loss=0.199308, epoch loss=5.282565 Epoch=2, step=3600, lr=0.185250, epoch loss=5.282565 Batch=59, step=3660, lr=0.185000, batch loss=0.220291, epoch loss=0.220291 Batch=119, step=3720, lr=0.184750, batch loss=0.185813, epoch loss=0.406105 Batch=179, step=3780, lr=0.184250, batch loss=0.210589, epoch loss=0.616694 Batch=239, step=3840, lr=0.184250, batch loss=0.314612, epoch loss=0.931306 Batch=299, step=3900, lr=0.184000, batch loss=0.204229, epoch loss=1.135535 Batch=359, step=3960, lr=0.183750, batch loss=0.281099, epoch loss=1.416634 Batch=419, step=4020, lr=0.183500, batch loss=0.271846, epoch loss=1.688481 Batch=479, step=4080, lr=0.183250, batch loss=0.249013, epoch loss=1.937494 Batch=539, step=4140, lr=0.183000, batch loss=0.195794, epoch loss=2.133287 Batch=599, step=4200, lr=0.182750, batch loss=0.242517, epoch loss=2.375804 Batch=659, step=4260, lr=0.182250, batch loss=0.327743, epoch loss=2.703547 Batch=719, step=4320, lr=0.182250, batch loss=0.326114, epoch loss=3.029661 Batch=779, step=4380, lr=0.182000, batch loss=0.352997, epoch loss=3.382658 Batch=839, step=4440, lr=0.181750, batch loss=0.316097, epoch loss=3.698755 Batch=899, step=4500, lr=0.181500, batch loss=0.279845, epoch loss=3.978600 Batch=959, step=4560, lr=0.181250, batch loss=0.217023, epoch loss=4.195623 Batch=1019, step=4620, lr=0.181000, batch loss=0.357510, epoch loss=4.553133 Batch=1079, step=4680, lr=0.180750, batch loss=0.210770, epoch loss=4.763903 Batch=1139, step=4740, lr=0.180500, batch loss=0.248594, epoch loss=5.012498 Batch=1199, step=4800, lr=0.180250, batch loss=0.190096, epoch loss=5.202593 Epoch=3, step=4800, lr=0.180250, epoch loss=5.202593 Batch=59, step=4860, lr=0.180000, batch loss=0.221823, epoch loss=0.221823 Batch=119, step=4920, lr=0.179750, batch loss=0.189077, epoch loss=0.410900 Batch=179, step=4980, lr=0.179500, batch loss=0.206167, epoch loss=0.617066 Batch=239, step=5040, lr=0.179250, batch loss=0.306492, epoch loss=0.923559 Batch=299, step=5100, lr=0.179000, batch loss=0.202895, epoch loss=1.126453 Batch=359, step=5160, lr=0.178750, batch loss=0.272022, epoch loss=1.398475 Batch=419, step=5220, lr=0.178500, batch loss=0.263550, epoch loss=1.662025 Batch=479, step=5280, lr=0.178250, batch loss=0.239776, epoch loss=1.901801 Batch=539, step=5340, lr=0.178000, batch loss=0.188909, epoch loss=2.090710 Batch=599, step=5400, lr=0.177750, batch loss=0.232740, epoch loss=2.323450 Batch=659, step=5460, lr=0.177500, batch loss=0.322666, epoch loss=2.646116 Batch=719, step=5520, lr=0.177250, batch loss=0.325094, epoch loss=2.971210 Batch=779, step=5580, lr=0.177000, batch loss=0.337003, epoch loss=3.308213 Batch=839, step=5640, lr=0.176750, batch loss=0.308605, epoch loss=3.616818 Batch=899, step=5700, lr=0.176500, batch loss=0.274135, epoch loss=3.890953 Batch=959, step=5760, lr=0.176250, batch loss=0.213209, epoch loss=4.104161 Batch=1019, step=5820, lr=0.176000, batch loss=0.337946, epoch loss=4.442108 Batch=1079, step=5880, lr=0.175750, batch loss=0.211347, epoch loss=4.653455 Batch=1139, step=5940, lr=0.175500, batch loss=0.239168, epoch loss=4.892623 Batch=1199, step=6000, lr=0.175250, batch loss=0.186605, epoch loss=5.079228 Epoch=4, step=6000, lr=0.175250, epoch loss=5.079228 Batch=59, step=6060, lr=0.175000, batch loss=0.231880, epoch loss=0.231880 Batch=119, step=6120, lr=0.174750, batch loss=0.193615, epoch loss=0.425495 Batch=179, step=6180, lr=0.174500, batch loss=0.201254, epoch loss=0.626749 Batch=239, step=6240, lr=0.174250, batch loss=0.298325, epoch loss=0.925074 Batch=299, step=6300, lr=0.174000, batch loss=0.201772, epoch loss=1.126846 Batch=359, step=6360, lr=0.173750, batch loss=0.262543, epoch loss=1.389389 Batch=419, step=6420, lr=0.173500, batch loss=0.257098, epoch loss=1.646487 Batch=479, step=6480, lr=0.173250, batch loss=0.234224, epoch loss=1.880711 Batch=539, step=6540, lr=0.173000, batch loss=0.190868, epoch loss=2.071579 Batch=599, step=6600, lr=0.172750, batch loss=0.232262, epoch loss=2.303841 Batch=659, step=6660, lr=0.172500, batch loss=0.312676, epoch loss=2.616517 Batch=719, step=6720, lr=0.172250, batch loss=0.316433, epoch loss=2.932950 Batch=779, step=6780, lr=0.172000, batch loss=0.330576, epoch loss=3.263525 Batch=839, step=6840, lr=0.171750, batch loss=0.304032, epoch loss=3.567557 Batch=899, step=6900, lr=0.171500, batch loss=0.265227, epoch loss=3.832784 Batch=959, step=6960, lr=0.171250, batch loss=0.217446, epoch loss=4.050229 Batch=1019, step=7020, lr=0.171000, batch loss=0.327559, epoch loss=4.377788 Batch=1079, step=7080, lr=0.170750, batch loss=0.190263, epoch loss=4.568051 Batch=1139, step=7140, lr=0.170500, batch loss=0.223948, epoch loss=4.791999 Batch=1199, step=7200, lr=0.170250, batch loss=0.178160, epoch loss=4.970159 Epoch=5, step=7200, lr=0.170250, epoch loss=4.970159 Batch=59, step=7260, lr=0.170000, batch loss=0.218504, epoch loss=0.218504 Batch=119, step=7320, lr=0.169750, batch loss=0.179696, epoch loss=0.398200 Batch=179, step=7380, lr=0.169500, batch loss=0.194934, epoch loss=0.593134 Batch=239, step=7440, lr=0.169250, batch loss=0.293102, epoch loss=0.886235 Batch=299, step=7500, lr=0.169000, batch loss=0.206193, epoch loss=1.092429 Batch=359, step=7560, lr=0.168750, batch loss=0.262871, epoch loss=1.355299 Batch=419, step=7620, lr=0.168500, batch loss=0.252744, epoch loss=1.608043 Batch=479, step=7680, lr=0.168250, batch loss=0.232339, epoch loss=1.840382 Batch=539, step=7740, lr=0.168000, batch loss=0.192840, epoch loss=2.033222 Batch=599, step=7800, lr=0.167750, batch loss=0.226158, epoch loss=2.259380 Batch=659, step=7860, lr=0.167500, batch loss=0.305009, epoch loss=2.564390 Batch=719, step=7920, lr=0.167250, batch loss=0.309893, epoch loss=2.874282 Batch=779, step=7980, lr=0.167000, batch loss=0.330218, epoch loss=3.204501 Batch=839, step=8040, lr=0.166750, batch loss=0.291862, epoch loss=3.496363 Batch=899, step=8100, lr=0.166500, batch loss=0.260933, epoch loss=3.757295 Batch=959, step=8160, lr=0.166250, batch loss=0.200766, epoch loss=3.958061 Batch=1019, step=8220, lr=0.166000, batch loss=0.331947, epoch loss=4.290009 Batch=1079, step=8280, lr=0.165750, batch loss=0.202952, epoch loss=4.492960 Batch=1139, step=8340, lr=0.165500, batch loss=0.224019, epoch loss=4.716979 Batch=1199, step=8400, lr=0.165250, batch loss=0.174825, epoch loss=4.891804 Epoch=6, step=8400, lr=0.165250, epoch loss=4.891804 Batch=59, step=8460, lr=0.165000, batch loss=0.215892, epoch loss=0.215892 Batch=119, step=8520, lr=0.164750, batch loss=0.182763, epoch loss=0.398655 Batch=179, step=8580, lr=0.164500, batch loss=0.188211, epoch loss=0.586866 Batch=239, step=8640, lr=0.164250, batch loss=0.278208, epoch loss=0.865074 Batch=299, step=8700, lr=0.164000, batch loss=0.193332, epoch loss=1.058405 Batch=359, step=8760, lr=0.163750, batch loss=0.254453, epoch loss=1.312858 Batch=419, step=8820, lr=0.163500, batch loss=0.244672, epoch loss=1.557530 Batch=479, step=8880, lr=0.163250, batch loss=0.228062, epoch loss=1.785592 Batch=539, step=8940, lr=0.163000, batch loss=0.178178, epoch loss=1.963769 Batch=599, step=9000, lr=0.162750, batch loss=0.216880, epoch loss=2.180649 Batch=659, step=9060, lr=0.162500, batch loss=0.293753, epoch loss=2.474402 Batch=719, step=9120, lr=0.162250, batch loss=0.295703, epoch loss=2.770105 Batch=779, step=9180, lr=0.162000, batch loss=0.315414, epoch loss=3.085519 Batch=839, step=9240, lr=0.161750, batch loss=0.286920, epoch loss=3.372439 Batch=899, step=9300, lr=0.161500, batch loss=0.250680, epoch loss=3.623119 Batch=959, step=9360, lr=0.161250, batch loss=0.189742, epoch loss=3.812861 Batch=1019, step=9420, lr=0.161000, batch loss=0.316482, epoch loss=4.129342 Batch=1079, step=9480, lr=0.160750, batch loss=0.187185, epoch loss=4.316527 Batch=1139, step=9540, lr=0.160500, batch loss=0.211735, epoch loss=4.528262 Batch=1199, step=9600, lr=0.160250, batch loss=0.166280, epoch loss=4.694543 Epoch=7, step=9600, lr=0.160250, epoch loss=4.694543 Batch=59, step=9660, lr=0.160000, batch loss=0.198639, epoch loss=0.198639 Batch=119, step=9720, lr=0.159750, batch loss=0.163911, epoch loss=0.362550 Batch=179, step=9780, lr=0.159500, batch loss=0.178075, epoch loss=0.540625 Batch=239, step=9840, lr=0.159250, batch loss=0.262148, epoch loss=0.802773 Batch=299, step=9900, lr=0.158750, batch loss=0.183263, epoch loss=0.986036 Batch=359, step=9960, lr=0.158750, batch loss=0.240935, epoch loss=1.226970 Batch=419, step=10020, lr=0.158500, batch loss=0.232989, epoch loss=1.459959 Batch=479, step=10080, lr=0.158250, batch loss=0.219598, epoch loss=1.679556 Batch=539, step=10140, lr=0.158000, batch loss=0.164112, epoch loss=1.843668 Batch=599, step=10200, lr=0.157750, batch loss=0.202981, epoch loss=2.046650 Batch=659, step=10260, lr=0.157500, batch loss=0.279523, epoch loss=2.326173 Batch=719, step=10320, lr=0.157250, batch loss=0.284178, epoch loss=2.610351 Batch=779, step=10380, lr=0.157000, batch loss=0.292795, epoch loss=2.903147 Batch=839, step=10440, lr=0.156750, batch loss=0.265617, epoch loss=3.168764 Batch=899, step=10500, lr=0.156500, batch loss=0.243108, epoch loss=3.411872 Batch=959, step=10560, lr=0.156250, batch loss=0.194063, epoch loss=3.605935 Batch=1019, step=10620, lr=0.156000, batch loss=0.278262, epoch loss=3.884197 Batch=1079, step=10680, lr=0.155750, batch loss=0.168903, epoch loss=4.053100 Batch=1139, step=10740, lr=0.155500, batch loss=0.193049, epoch loss=4.246149 Batch=1199, step=10800, lr=0.155250, batch loss=0.153420, epoch loss=4.399569 Epoch=8, step=10800, lr=0.155250, epoch loss=4.399569 Batch=59, step=10860, lr=0.155000, batch loss=0.175276, epoch loss=0.175276 Batch=119, step=10920, lr=0.154750, batch loss=0.150912, epoch loss=0.326188 Batch=179, step=10980, lr=0.154500, batch loss=0.165235, epoch loss=0.491423 Batch=239, step=11040, lr=0.154250, batch loss=0.239139, epoch loss=0.730562 Batch=299, step=11100, lr=0.154000, batch loss=0.173192, epoch loss=0.903755 Batch=359, step=11160, lr=0.153750, batch loss=0.217836, epoch loss=1.121591 Batch=419, step=11220, lr=0.153500, batch loss=0.216101, epoch loss=1.337691 Batch=479, step=11280, lr=0.153250, batch loss=0.211261, epoch loss=1.548953 Batch=539, step=11340, lr=0.153000, batch loss=0.162622, epoch loss=1.711575 Batch=599, step=11400, lr=0.152750, batch loss=0.176641, epoch loss=1.888216 Batch=659, step=11460, lr=0.152500, batch loss=0.265598, epoch loss=2.153814 Batch=719, step=11520, lr=0.152250, batch loss=0.259089, epoch loss=2.412903 Batch=779, step=11580, lr=0.152000, batch loss=0.273236, epoch loss=2.686139 Batch=839, step=11640, lr=0.151750, batch loss=0.255379, epoch loss=2.941518 Batch=899, step=11700, lr=0.151500, batch loss=0.212415, epoch loss=3.153933 Batch=959, step=11760, lr=0.151250, batch loss=0.167233, epoch loss=3.321166 Batch=1019, step=11820, lr=0.151000, batch loss=0.268759, epoch loss=3.589925 Batch=1079, step=11880, lr=0.150750, batch loss=0.144864, epoch loss=3.734789 Batch=1139, step=11940, lr=0.150500, batch loss=0.188188, epoch loss=3.922977 Batch=1199, step=12000, lr=0.150250, batch loss=0.138260, epoch loss=4.061237 Epoch=9, step=12000, lr=0.150250, epoch loss=4.061237 Batch=59, step=12060, lr=0.150000, batch loss=0.160295, epoch loss=0.160295 Batch=119, step=12120, lr=0.149750, batch loss=0.135567, epoch loss=0.295863 Batch=179, step=12180, lr=0.149500, batch loss=0.150335, epoch loss=0.446198 Batch=239, step=12240, lr=0.149250, batch loss=0.217082, epoch loss=0.663280 Batch=299, step=12300, lr=0.149000, batch loss=0.141778, epoch loss=0.805058 Batch=359, step=12360, lr=0.148750, batch loss=0.195703, epoch loss=1.000761 Batch=419, step=12420, lr=0.148500, batch loss=0.206595, epoch loss=1.207355 Batch=479, step=12480, lr=0.148250, batch loss=0.175728, epoch loss=1.383084 Batch=539, step=12540, lr=0.148000, batch loss=0.142335, epoch loss=1.525419 Batch=599, step=12600, lr=0.147750, batch loss=0.146406, epoch loss=1.671825 Batch=659, step=12660, lr=0.147500, batch loss=0.217490, epoch loss=1.889316 Batch=719, step=12720, lr=0.147250, batch loss=0.214249, epoch loss=2.103565 Batch=779, step=12780, lr=0.147000, batch loss=0.233276, epoch loss=2.336841 Batch=839, step=12840, lr=0.146750, batch loss=0.225358, epoch loss=2.562199 Batch=899, step=12900, lr=0.146500, batch loss=0.188094, epoch loss=2.750293 Batch=959, step=12960, lr=0.146250, batch loss=0.164540, epoch loss=2.914833 Batch=1019, step=13020, lr=0.146000, batch loss=0.271646, epoch loss=3.186479 Batch=1079, step=13080, lr=0.145500, batch loss=0.111869, epoch loss=3.298349 Batch=1139, step=13140, lr=0.145500, batch loss=0.155442, epoch loss=3.453790 Batch=1199, step=13200, lr=0.145250, batch loss=0.116261, epoch loss=3.570051 Epoch=10, step=13200, lr=0.145250, epoch loss=3.570051 Batch=59, step=13260, lr=0.145000, batch loss=0.142930, epoch loss=0.142930 Batch=119, step=13320, lr=0.144750, batch loss=0.124470, epoch loss=0.267400 Batch=179, step=13380, lr=0.144500, batch loss=0.127941, epoch loss=0.395342 Batch=239, step=13440, lr=0.144250, batch loss=0.187201, epoch loss=0.582543 Batch=299, step=13500, lr=0.144000, batch loss=0.118208, epoch loss=0.700750 Batch=359, step=13560, lr=0.143750, batch loss=0.161796, epoch loss=0.862546 Batch=419, step=13620, lr=0.143500, batch loss=0.158046, epoch loss=1.020592 Batch=479, step=13680, lr=0.143250, batch loss=0.143914, epoch loss=1.164506 Batch=539, step=13740, lr=0.142750, batch loss=0.116522, epoch loss=1.281028 Batch=599, step=13800, lr=0.142750, batch loss=0.117891, epoch loss=1.398918 Batch=659, step=13860, lr=0.142500, batch loss=0.172757, epoch loss=1.571676 Batch=719, step=13920, lr=0.142250, batch loss=0.174214, epoch loss=1.745890 Batch=779, step=13980, lr=0.142000, batch loss=0.193578, epoch loss=1.939468 Batch=839, step=14040, lr=0.141750, batch loss=0.184778, epoch loss=2.124246 Batch=899, step=14100, lr=0.141500, batch loss=0.154122, epoch loss=2.278368 Batch=959, step=14160, lr=0.141250, batch loss=0.133408, epoch loss=2.411776 Batch=1019, step=14220, lr=0.141000, batch loss=0.288718, epoch loss=2.700494 Batch=1079, step=14280, lr=0.140750, batch loss=0.085284, epoch loss=2.785778 Batch=1139, step=14340, lr=0.140500, batch loss=0.134339, epoch loss=2.920117 Batch=1199, step=14400, lr=0.140250, batch loss=0.094135, epoch loss=3.014252 Epoch=11, step=14400, lr=0.140250, epoch loss=3.014252 Batch=59, step=14460, lr=0.140000, batch loss=0.110312, epoch loss=0.110312 Batch=119, step=14520, lr=0.139750, batch loss=0.105945, epoch loss=0.216258 Batch=179, step=14580, lr=0.139500, batch loss=0.103489, epoch loss=0.319747 Batch=239, step=14640, lr=0.139250, batch loss=0.136172, epoch loss=0.455919 Batch=299, step=14700, lr=0.139000, batch loss=0.070574, epoch loss=0.526492 Batch=359, step=14760, lr=0.138750, batch loss=0.121758, epoch loss=0.648250 Batch=419, step=14820, lr=0.138500, batch loss=0.126771, epoch loss=0.775021 Batch=479, step=14880, lr=0.138250, batch loss=0.096961, epoch loss=0.871982 Batch=539, step=14940, lr=0.138000, batch loss=0.106878, epoch loss=0.978860 Batch=599, step=15000, lr=0.137750, batch loss=0.083961, epoch loss=1.062821 Batch=659, step=15060, lr=0.137500, batch loss=0.125020, epoch loss=1.187841 Batch=719, step=15120, lr=0.137250, batch loss=0.116130, epoch loss=1.303971 Batch=779, step=15180, lr=0.137000, batch loss=0.131791, epoch loss=1.435762 Batch=839, step=15240, lr=0.136750, batch loss=0.160351, epoch loss=1.596114 Batch=899, step=15300, lr=0.136500, batch loss=0.265012, epoch loss=1.861125 Batch=959, step=15360, lr=0.136250, batch loss=0.059694, epoch loss=1.920820 Batch=1019, step=15420, lr=0.136000, batch loss=0.130427, epoch loss=2.051247 Batch=1079, step=15480, lr=0.135750, batch loss=0.052754, epoch loss=2.104001 Batch=1139, step=15540, lr=0.135500, batch loss=0.105091, epoch loss=2.209092 Batch=1199, step=15600, lr=0.135250, batch loss=0.059882, epoch loss=2.268973 Epoch=12, step=15600, lr=0.135250, epoch loss=2.268973 Batch=59, step=15660, lr=0.135000, batch loss=0.083481, epoch loss=0.083481 Batch=119, step=15720, lr=0.134750, batch loss=0.125052, epoch loss=0.208533 Batch=179, step=15780, lr=0.134500, batch loss=0.093119, epoch loss=0.301652 Batch=239, step=15840, lr=0.134250, batch loss=0.093152, epoch loss=0.394804 Batch=299, step=15900, lr=0.134000, batch loss=0.036261, epoch loss=0.431066 Batch=359, step=15960, lr=0.133750, batch loss=0.077236, epoch loss=0.508302 Batch=419, step=16020, lr=0.133500, batch loss=0.074843, epoch loss=0.583145 Batch=479, step=16080, lr=0.133250, batch loss=0.053275, epoch loss=0.636420 Batch=539, step=16140, lr=0.133000, batch loss=0.071016, epoch loss=0.707437 Batch=599, step=16200, lr=0.132750, batch loss=0.174643, epoch loss=0.882080 Batch=659, step=16260, lr=0.132500, batch loss=0.097808, epoch loss=0.979888 Batch=719, step=16320, lr=0.132250, batch loss=0.118165, epoch loss=1.098053 Batch=779, step=16380, lr=0.132000, batch loss=0.260083, epoch loss=1.358136 Batch=839, step=16440, lr=0.131750, batch loss=0.087908, epoch loss=1.446043 Batch=899, step=16500, lr=0.131500, batch loss=0.074009, epoch loss=1.520052 Batch=959, step=16560, lr=0.131250, batch loss=0.029830, epoch loss=1.549882 Batch=1019, step=16620, lr=0.131000, batch loss=0.057999, epoch loss=1.607881 Batch=1079, step=16680, lr=0.130750, batch loss=0.059291, epoch loss=1.667172 Batch=1139, step=16740, lr=0.130500, batch loss=0.101834, epoch loss=1.769006 Batch=1199, step=16800, lr=0.130250, batch loss=0.047765, epoch loss=1.816771 Epoch=13, step=16800, lr=0.130250, epoch loss=1.816771 Batch=59, step=16860, lr=0.130000, batch loss=0.033879, epoch loss=0.033879 Batch=119, step=16920, lr=0.129750, batch loss=0.031818, epoch loss=0.065697 Batch=179, step=16980, lr=0.129500, batch loss=0.042638, epoch loss=0.108335 Batch=239, step=17040, lr=0.129250, batch loss=0.056342, epoch loss=0.164677 Batch=299, step=17100, lr=0.129000, batch loss=0.017847, epoch loss=0.182524 Batch=359, step=17160, lr=0.128750, batch loss=0.040687, epoch loss=0.223211 Batch=419, step=17220, lr=0.128500, batch loss=0.043162, epoch loss=0.266373 Batch=479, step=17280, lr=0.128250, batch loss=0.024350, epoch loss=0.290723 Batch=539, step=17340, lr=0.128000, batch loss=0.051097, epoch loss=0.341820 Batch=599, step=17400, lr=0.127750, batch loss=0.034503, epoch loss=0.376323 Batch=659, step=17460, lr=0.127500, batch loss=0.046668, epoch loss=0.422991 Batch=719, step=17520, lr=0.127250, batch loss=0.046116, epoch loss=0.469107 Batch=779, step=17580, lr=0.127000, batch loss=0.101867, epoch loss=0.570975 Batch=839, step=17640, lr=0.126750, batch loss=0.095280, epoch loss=0.666255 Batch=899, step=17700, lr=0.126500, batch loss=0.140033, epoch loss=0.806288 Batch=959, step=17760, lr=0.126250, batch loss=0.020177, epoch loss=0.826465 Batch=1019, step=17820, lr=0.126000, batch loss=0.034848, epoch loss=0.861313 Batch=1079, step=17880, lr=0.125750, batch loss=0.009748, epoch loss=0.871061 Batch=1139, step=17940, lr=0.125500, batch loss=0.028359, epoch loss=0.899420 Batch=1199, step=18000, lr=0.125250, batch loss=0.012897, epoch loss=0.912317 Epoch=14, step=18000, lr=0.125250, epoch loss=0.912317 Batch=59, step=18060, lr=0.124750, batch loss=0.010370, epoch loss=0.010370 Batch=119, step=18120, lr=0.124750, batch loss=0.017232, epoch loss=0.027602 Batch=179, step=18180, lr=0.124500, batch loss=0.027396, epoch loss=0.054998 Batch=239, step=18240, lr=0.124250, batch loss=0.033165, epoch loss=0.088162 Batch=299, step=18300, lr=0.124000, batch loss=0.015748, epoch loss=0.103911 Batch=359, step=18360, lr=0.123750, batch loss=0.021230, epoch loss=0.125140 Batch=419, step=18420, lr=0.123500, batch loss=0.029292, epoch loss=0.154433 Batch=479, step=18480, lr=0.123250, batch loss=0.018778, epoch loss=0.173211 Batch=539, step=18540, lr=0.123000, batch loss=0.041216, epoch loss=0.214427 Batch=599, step=18600, lr=0.122750, batch loss=0.025239, epoch loss=0.239666 Batch=659, step=18660, lr=0.122500, batch loss=0.030808, epoch loss=0.270473 Batch=719, step=18720, lr=0.122250, batch loss=0.048246, epoch loss=0.318719 Batch=779, step=18780, lr=0.122000, batch loss=0.116324, epoch loss=0.435043 Batch=839, step=18840, lr=0.121750, batch loss=0.056854, epoch loss=0.491897 Batch=899, step=18900, lr=0.121500, batch loss=0.056903, epoch loss=0.548801 Batch=959, step=18960, lr=0.121250, batch loss=0.013717, epoch loss=0.562518 Batch=1019, step=19020, lr=0.121000, batch loss=0.025166, epoch loss=0.587683 Batch=1079, step=19080, lr=0.120750, batch loss=0.010055, epoch loss=0.597739 Batch=1139, step=19140, lr=0.120500, batch loss=0.022332, epoch loss=0.620071 Batch=1199, step=19200, lr=0.120250, batch loss=0.009316, epoch loss=0.629386 Epoch=15, step=19200, lr=0.120250, epoch loss=0.629386 Batch=59, step=19260, lr=0.120000, batch loss=0.004344, epoch loss=0.004344 Batch=119, step=19320, lr=0.119750, batch loss=0.019784, epoch loss=0.024129 Batch=179, step=19380, lr=0.119500, batch loss=0.063883, epoch loss=0.088011 Batch=239, step=19440, lr=0.119250, batch loss=0.026886, epoch loss=0.114898 Batch=299, step=19500, lr=0.119000, batch loss=0.011029, epoch loss=0.125927 Batch=359, step=19560, lr=0.118750, batch loss=0.022931, epoch loss=0.148857 Batch=419, step=19620, lr=0.118500, batch loss=0.019218, epoch loss=0.168075 Batch=479, step=19680, lr=0.118250, batch loss=0.009045, epoch loss=0.177120 Batch=539, step=19740, lr=0.118000, batch loss=0.019569, epoch loss=0.196689 Batch=599, step=19800, lr=0.117750, batch loss=0.020725, epoch loss=0.217413 Batch=659, step=19860, lr=0.117500, batch loss=0.020118, epoch loss=0.237531 Batch=719, step=19920, lr=0.117250, batch loss=0.019250, epoch loss=0.256781 Batch=779, step=19980, lr=0.117000, batch loss=0.034173, epoch loss=0.290954 Batch=839, step=20040, lr=0.116750, batch loss=0.030989, epoch loss=0.321943 Batch=899, step=20100, lr=0.116500, batch loss=0.026571, epoch loss=0.348514 Batch=959, step=20160, lr=0.116250, batch loss=0.011729, epoch loss=0.360243 Batch=1019, step=20220, lr=0.116000, batch loss=0.014692, epoch loss=0.374934 Batch=1079, step=20280, lr=0.115750, batch loss=0.003707, epoch loss=0.378641 Batch=1139, step=20340, lr=0.115500, batch loss=0.014178, epoch loss=0.392820 Batch=1199, step=20400, lr=0.115250, batch loss=0.005884, epoch loss=0.398704 Epoch=16, step=20400, lr=0.115250, epoch loss=0.398704 Batch=59, step=20460, lr=0.115000, batch loss=0.003598, epoch loss=0.003598 Batch=119, step=20520, lr=0.114750, batch loss=0.008155, epoch loss=0.011752 Batch=179, step=20580, lr=0.114500, batch loss=0.016728, epoch loss=0.028481 Batch=239, step=20640, lr=0.114250, batch loss=0.018412, epoch loss=0.046893 Batch=299, step=20700, lr=0.114000, batch loss=0.007521, epoch loss=0.054413 Batch=359, step=20760, lr=0.113750, batch loss=0.013470, epoch loss=0.067884 Batch=419, step=20820, lr=0.113250, batch loss=0.013967, epoch loss=0.081851 Batch=479, step=20880, lr=0.113250, batch loss=0.003510, epoch loss=0.085361 Batch=539, step=20940, lr=0.112750, batch loss=0.019164, epoch loss=0.104525 Batch=599, step=21000, lr=0.112750, batch loss=0.019842, epoch loss=0.124367 Batch=659, step=21060, lr=0.112500, batch loss=0.016047, epoch loss=0.140414 Batch=719, step=21120, lr=0.112250, batch loss=0.038878, epoch loss=0.179292 Batch=779, step=21180, lr=0.112000, batch loss=0.066939, epoch loss=0.246231 Batch=839, step=21240, lr=0.111500, batch loss=0.024197, epoch loss=0.270429 Batch=899, step=21300, lr=0.111500, batch loss=0.030260, epoch loss=0.300688 Batch=959, step=21360, lr=0.111000, batch loss=0.010557, epoch loss=0.311245 Batch=1019, step=21420, lr=0.111000, batch loss=0.011667, epoch loss=0.322912 Batch=1079, step=21480, lr=0.110750, batch loss=0.000705, epoch loss=0.323616 Batch=1139, step=21540, lr=0.110500, batch loss=0.013452, epoch loss=0.337068 Batch=1199, step=21600, lr=0.110250, batch loss=0.005242, epoch loss=0.342311 Epoch=17, step=21600, lr=0.110250, epoch loss=0.342311 Batch=59, step=21660, lr=0.110000, batch loss=0.002787, epoch loss=0.002787 Batch=119, step=21720, lr=0.109750, batch loss=0.006582, epoch loss=0.009369 Batch=179, step=21780, lr=0.109500, batch loss=0.012727, epoch loss=0.022096 Batch=239, step=21840, lr=0.109250, batch loss=0.009419, epoch loss=0.031514 Batch=299, step=21900, lr=0.109000, batch loss=0.013911, epoch loss=0.045426 Batch=359, step=21960, lr=0.108750, batch loss=0.013670, epoch loss=0.059095 Batch=419, step=22020, lr=0.108500, batch loss=0.012060, epoch loss=0.071156 Batch=479, step=22080, lr=0.108250, batch loss=0.002936, epoch loss=0.074091 Batch=539, step=22140, lr=0.108000, batch loss=0.017156, epoch loss=0.091248 Batch=599, step=22200, lr=0.107750, batch loss=0.016550, epoch loss=0.107797 Batch=659, step=22260, lr=0.107500, batch loss=0.016371, epoch loss=0.124169 Batch=719, step=22320, lr=0.107250, batch loss=0.022249, epoch loss=0.146418 Batch=779, step=22380, lr=0.107000, batch loss=0.028943, epoch loss=0.175360 Batch=839, step=22440, lr=0.106750, batch loss=0.029144, epoch loss=0.204504 Batch=899, step=22500, lr=0.106500, batch loss=0.022925, epoch loss=0.227429 Batch=959, step=22560, lr=0.106250, batch loss=0.008764, epoch loss=0.236194 Batch=1019, step=22620, lr=0.106000, batch loss=0.007731, epoch loss=0.243924 Batch=1079, step=22680, lr=0.105500, batch loss=0.002216, epoch loss=0.246140 Batch=1139, step=22740, lr=0.105500, batch loss=0.011013, epoch loss=0.257154 Batch=1199, step=22800, lr=0.105250, batch loss=0.004970, epoch loss=0.262123 Epoch=18, step=22800, lr=0.105250, epoch loss=0.262123 Batch=59, step=22860, lr=0.105000, batch loss=0.002133, epoch loss=0.002133 Batch=119, step=22920, lr=0.104750, batch loss=0.005022, epoch loss=0.007156 Batch=179, step=22980, lr=0.104500, batch loss=0.012043, epoch loss=0.019198 Batch=239, step=23040, lr=0.104250, batch loss=0.008396, epoch loss=0.027594 Batch=299, step=23100, lr=0.104000, batch loss=0.004734, epoch loss=0.032328 Batch=359, step=23160, lr=0.103750, batch loss=0.011640, epoch loss=0.043968 Batch=419, step=23220, lr=0.103500, batch loss=0.010243, epoch loss=0.054211 Batch=479, step=23280, lr=0.103250, batch loss=0.002473, epoch loss=0.056684 Batch=539, step=23340, lr=0.103000, batch loss=0.018898, epoch loss=0.075582 Batch=599, step=23400, lr=0.102750, batch loss=0.014369, epoch loss=0.089951 Batch=659, step=23460, lr=0.102500, batch loss=0.012985, epoch loss=0.102936 Batch=719, step=23520, lr=0.102250, batch loss=0.015036, epoch loss=0.117972 Batch=779, step=23580, lr=0.102000, batch loss=0.021166, epoch loss=0.139138 Batch=839, step=23640, lr=0.101750, batch loss=0.026086, epoch loss=0.165223 Batch=899, step=23700, lr=0.101500, batch loss=0.021918, epoch loss=0.187142 Batch=959, step=23760, lr=0.101250, batch loss=0.007962, epoch loss=0.195103 Batch=1019, step=23820, lr=0.101000, batch loss=0.006804, epoch loss=0.201907 Batch=1079, step=23880, lr=0.100750, batch loss=0.002137, epoch loss=0.204044 Batch=1139, step=23940, lr=0.100500, batch loss=0.008397, epoch loss=0.212441 Batch=1199, step=24000, lr=0.100250, batch loss=0.004637, epoch loss=0.217078 Epoch=19, step=24000, lr=0.100250, epoch loss=0.217078 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................**................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 16:52.51 ---> saved as "cad8b2a51b03994d1b39fe466e88302277621dd9c39e275a57c3307450764270" Job succeeded 2025-03-20 16:52.52: Job succeeded