2025-05-10 12:44.17: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (23c9ad3f1bd3375dd27d32b631a0eaaff8ffceb2) (linux-x86_64:opensuse-15.6-5.3_opam-2.3) Base: ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 23c9ad3f cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600 # opensuse-15.6-5.3_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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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 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 2025-05-10 12:44.17: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600-opensuse-15.6-5.3_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc" 2025-05-10 12:44.17: Using OBuilder spec: ((from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600) (comment opensuse-15.6-5.3_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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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 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")) ) 2025-05-10 12:44.17: Waiting for resource in pool OCluster 2025-05-10 12:44.17: Waiting for worker… 2025-05-10 12:44.27: Got resource from pool OCluster Building on bremusa.ocamllabs.io HEAD is now at 95dddcae Don't fail if ocannl_config not found HEAD is now at 23c9ad3f experiment (from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600) Unable to find image 'ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600' locally docker.io/ocaml/opam@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600: Pulling from ocaml/opam dd194abb521a: Pulling fs layer dd194abb521a: Verifying Checksum dd194abb521a: Download complete dd194abb521a: Pull complete Digest: sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600 Status: Downloaded newer image for ocaml/opam@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600 2025-05-10 12:44.28 ---> using "e2985c4688e78c185fe5effed79d132da1434e7bdd40f94bb99436d3b96690ce" from cache /: (comment opensuse-15.6-5.3_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")) 2025-05-10 12:44.28 ---> using "50434b1af48c812e5b8b97b6a092abb9dd6da5001ea1c138b231ba3655932e87" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-10 12:44.28 ---> using "7cefc43bb115418c0e97b1444415cc019594bb8990b6e1f2ed0a436414564ab1" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 6.8.0-55-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-10 12:44.28 ---> using "bbea99c20ed515ef2fe261fc823d093d079ef495d3a45cfaf2f85630d6f346ad" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-10 12:44.28 ---> using "42f82abd2853d50c6163e98a7ac94c7848ae533331533f1aa6d2fbe1dddc149c" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..0d013e603b master -> origin/master 997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2 <><> 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) 2025-05-10 12:44.28 ---> using "2415ab7306ec3082b4f1ed0abb02fca4f313d14995e38483342aed5820bf69c6" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-10 12:44.28 ---> using "8e1108dd40ba51439f6e1676c0eff290d26833fde6f7abb458c2ae9f02823372" 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) 2025-05-10 12:44.28 ---> using "041919ec116e6235798633087982abedbfcf89babd6c39612469ed23b0e67c59" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-10 12:44.28 ---> using "2c78ae7a921eca928ad897bd88741558b89e2199c93ed4f759e5e655e2a39950" 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 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 "zypper" "--non-interactive" "refresh" - Retrieving repository 'Update repository of openSUSE Backports' metadata [..... - ..........done] - Building repository 'Update repository of openSUSE Backports' cache [.. - ..done] - Retrieving repository 'Update repository with updates from SUSE Linux Enterprise 15' metadata [...... - ......... - .......... - .......... - ......... - .......... - ........ - ...... - .....done] - Building repository 'Update repository with updates from SUSE Linux Enterprise 15' cache [.. - ..done] - Repository 'Main Update Repository' is up to date. - Repository 'Update Repository (Non-Oss)' is up to date. - Repository 'Non-OSS Repository' is up to date. - Repository 'Main Repository' is up to date. - All repositories have been refreshed. <><> 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-devel <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "zypper" "--non-interactive" "install" "libffi-devel" - Loading repository data... - Reading installed packages... - Resolving package dependencies... - - The following NEW package is going to be installed: - libffi-devel - - 1 new package to install. - - Package download size: 26.7 KiB - - Package install size change: - | 29.1 KiB required by packages that will be installed - 29.1 KiB | - 0 B released by packages that will be removed - - Backend: classic_rpmtrans - Continue? [y/n/v/...? shows all options] (y): y - Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64 (Main Repository) (1/1), 26.7 KiB - Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64.rpm [..done (26.7 KiB/s)] - - Checking for file conflicts: [..done] - (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done] 2025-05-10 12:44.28 ---> using "95446ccb1fddec0c7becd4bbbc5ab988fb87093d0a7882566ed5e30822aa7c1b" 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 74 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 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 astring.0.8.5 (https://erratique.ch/software/astring/releases/astring-0.8.5.tbz) -> retrieved angstrom.0.16.1 (https://github.com/inhabitedtype/angstrom/archive/0.16.1.tar.gz) -> retrieved backoff.0.1.1 (https://github.com/ocaml-multicore/backoff/releases/download/0.1.1/backoff-0.1.1.tbz) -> retrieved base.v0.17.2 (https://github.com/janestreet/base/archive/refs/tags/v0.17.2.tar.gz) -> retrieved bigarray-compat.1.1.0 (https://github.com/mirage/bigarray-compat/releases/download/v1.1.0/bigarray-compat-1.1.0.tbz) -> retrieved bigstringaf.0.10.0 (https://github.com/inhabitedtype/bigstringaf/archive/0.10.0.tar.gz) -> installed conf-pkg-config.4 -> installed conf-libffi.2.0.0 -> retrieved camlp-streams.5.0.1 (https://github.com/ocaml/camlp-streams/archive/v5.0.1.tar.gz) -> retrieved cmdliner.1.3.0 (https://erratique.ch/software/cmdliner/releases/cmdliner-1.3.0.tbz) -> retrieved cppo.1.8.0 (https://github.com/ocaml-community/cppo/archive/v1.8.0.tar.gz) -> retrieved csexp.1.5.2 (https://github.com/ocaml-dune/csexp/releases/download/1.5.2/csexp-1.5.2.tbz) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (https://github.com/yallop/ocaml-ctypes/archive/refs/tags/0.23.0.tar.gz) -> retrieved fieldslib.v0.17.0 (https://github.com/janestreet/fieldslib/archive/refs/tags/v0.17.0.tar.gz) -> retrieved fmt.0.10.0 (https://erratique.ch/software/fmt/releases/fmt-0.10.0.tbz) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved jane-street-headers.v0.17.0 (https://github.com/janestreet/jane-street-headers/archive/refs/tags/v0.17.0.tar.gz) -> retrieved integers.0.7.0 (https://github.com/yallop/ocaml-integers/archive/0.7.0.tar.gz) -> retrieved jst-config.v0.17.0 (https://github.com/janestreet/jst-config/archive/refs/tags/v0.17.0.tar.gz) -> installed cmdliner.1.3.0 -> retrieved logs.0.8.0 (https://erratique.ch/software/logs/releases/logs-0.8.0.tbz) -> retrieved mdx.2.5.0 (https://github.com/realworldocaml/mdx/releases/download/2.5.0/mdx-2.5.0.tbz) -> retrieved mtime.2.1.0 (https://erratique.ch/software/mtime/releases/mtime-2.1.0.tbz) -> retrieved multicore-magic.2.3.1 (https://github.com/ocaml-multicore/multicore-magic/releases/download/2.3.1/multicore-magic-2.3.1.tbz) -> retrieved ocaml-compiler-libs.v0.17.0 (https://github.com/janestreet/ocaml-compiler-libs/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ocaml-syntax-shims.1.0.0 (https://github.com/ocaml-ppx/ocaml-syntax-shims/releases/download/1.0.0/ocaml-syntax-shims-1.0.0.tbz) -> retrieved num.1.5-1 (https://github.com/ocaml/num/archive/v1.5.tar.gz) -> retrieved ocaml-version.4.0.0 (https://github.com/ocurrent/ocaml-version/releases/download/v4.0.0/ocaml-version-4.0.0.tbz) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (https://github.com/janestreet/ocaml_intrinsics_kernel/archive/refs/tags/v0.17.1.tar.gz) -> retrieved ocamlbuild.0.16.1 (https://github.com/ocaml/ocamlbuild/archive/refs/tags/0.16.1.tar.gz) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (https://github.com/janestreet/parsexp/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_assert.v0.17.0 (https://github.com/janestreet/ppx_assert/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_base.v0.17.0 (https://github.com/janestreet/ppx_base/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_derivers.1.2.1 (https://github.com/ocaml-ppx/ppx_derivers/archive/1.2.1.tar.gz) -> retrieved ppx_cold.v0.17.0 (https://github.com/janestreet/ppx_cold/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_compare.v0.17.0 (https://github.com/janestreet/ppx_compare/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_expect.v0.17.2 (https://github.com/janestreet/ppx_expect/archive/refs/tags/v0.17.2.tar.gz) -> retrieved ppx_enumerate.v0.17.0 (https://github.com/janestreet/ppx_enumerate/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_deriving.6.0.3 (https://github.com/ocaml-ppx/ppx_deriving/releases/download/v6.0.3/ppx_deriving-6.0.3.tbz) -> retrieved ppx_globalize.v0.17.0 (https://github.com/janestreet/ppx_globalize/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_fields_conv.v0.17.0 (https://github.com/janestreet/ppx_fields_conv/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_hash.v0.17.0 (https://github.com/janestreet/ppx_hash/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_here.v0.17.0 (https://github.com/janestreet/ppx_here/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_inline_test.v0.17.0 (https://github.com/janestreet/ppx_inline_test/archive/refs/tags/v0.17.0.tar.gz) -> installed num.1.5-1 -> retrieved ppx_optcomp.v0.17.0 (https://github.com/janestreet/ppx_optcomp/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_sexp_conv.v0.17.0 (https://github.com/janestreet/ppx_sexp_conv/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_minidebug.2.2.0 (https://github.com/lukstafi/ppx_minidebug/archive/refs/tags/2.2.0.tar.gz) -> retrieved ppx_string.v0.17.0 (https://github.com/janestreet/ppx_string/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppx_variants_conv.v0.17.0 (https://github.com/janestreet/ppx_variants_conv/archive/refs/tags/v0.17.0.tar.gz) -> retrieved ppxlib_jane.v0.17.2 (https://github.com/janestreet/ppxlib_jane/archive/refs/tags/v0.17.2.tar.gz) -> retrieved ppxlib.0.35.0 (https://github.com/ocaml-ppx/ppxlib/releases/download/0.35.0/ppxlib-0.35.0.tbz) -> retrieved ptime.1.2.0 (https://erratique.ch/software/ptime/releases/ptime-1.2.0.tbz) -> retrieved re.1.12.0 (https://github.com/ocaml/ocaml-re/releases/download/1.12.0/re-1.12.0.tbz) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (https://github.com/c-cube/printbox/releases/download/v0.12/printbox-0.12.tbz) -> retrieved result.1.5 (https://github.com/janestreet/result/releases/download/1.5/result-1.5.tbz) -> retrieved seq.base (2 extra sources) -> retrieved seq.base (2 extra sources) -> installed seq.base -> retrieved saturn_lockfree.0.5.0 (https://github.com/ocaml-multicore/saturn/releases/download/0.5.0/saturn-0.5.0.tbz) -> retrieved sexplib.v0.17.0 (https://github.com/janestreet/sexplib/archive/refs/tags/v0.17.0.tar.gz) -> installed ocamlfind.1.9.8 -> retrieved sexplib0.v0.17.0 (https://github.com/janestreet/sexplib0/archive/refs/tags/v0.17.0.tar.gz) -> retrieved stdio.v0.17.0 (https://github.com/janestreet/stdio/archive/refs/tags/v0.17.0.tar.gz) -> retrieved stdlib-shims.0.3.0 (https://github.com/ocaml/stdlib-shims/releases/download/0.3.0/stdlib-shims-0.3.0.tbz) -> retrieved topkg.1.0.8 (https://erratique.ch/software/topkg/releases/topkg-1.0.8.tbz) -> retrieved thread-local-storage.0.2 (https://github.com/c-cube/thread-local-storage/releases/download/v0.2/thread-local-storage-0.2.tbz) -> retrieved time_now.v0.17.0 (https://github.com/janestreet/time_now/archive/refs/tags/v0.17.0.tar.gz) -> retrieved uutf.1.0.4 (https://erratique.ch/software/uutf/releases/uutf-1.0.4.tbz) -> retrieved uucp.16.0.0 (https://erratique.ch/software/uucp/releases/uucp-16.0.0.tbz) -> retrieved tyxml.4.6.0 (https://github.com/ocsigen/tyxml/releases/download/4.6.0/tyxml-4.6.0.tbz) -> retrieved variantslib.v0.17.0 (https://github.com/janestreet/variantslib/archive/refs/tags/v0.17.0.tar.gz) -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed 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 cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed ocaml-syntax-shims.1.0.0 -> installed sexplib0.v0.17.0 -> 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 base.v0.17.2 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed 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_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-10 12:44.28 ---> using "1d81af7b670c73a51c7ec64ca20140022e713c3ae8a5945ed575ff4f5f4bc183" from cache /src: (copy (src .) (dst /src)) 2025-05-10 12:44.29 ---> saved as "3cec8804becb9a62ccd85d36267153273865f06117187081c310cfe64627e868" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/95263526cc324dd97520d381d02a44fd/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/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 Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!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=0.199500, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199250, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199250, batch loss=0.846671, epoch loss=35.616880 Batch=299, step=300, lr=0.199000, batch loss=1.456496, epoch loss=37.073377 Batch=359, step=360, lr=0.198750, batch loss=1.327391, epoch loss=38.400768 Batch=419, step=420, lr=0.198500, batch loss=0.621544, epoch loss=39.022312 Batch=479, step=480, lr=0.198250, batch loss=0.817677, epoch loss=39.839989 Batch=539, step=540, lr=0.197750, batch loss=0.698250, epoch loss=40.538239 Batch=599, step=600, lr=0.197500, batch loss=1.071420, epoch loss=41.609659 Batch=659, step=660, lr=0.197250, batch loss=0.482963, epoch loss=42.092622 Batch=719, step=720, lr=0.197000, batch loss=0.411562, epoch loss=42.504184 Batch=779, step=780, lr=0.196750, batch loss=0.469845, epoch loss=42.974029 Batch=839, step=840, lr=0.196750, batch loss=0.444557, epoch loss=43.418586 Batch=899, step=900, lr=0.196250, batch loss=0.383273, epoch loss=43.801859 Batch=959, step=960, lr=0.196250, batch loss=0.241144, epoch loss=44.043003 Batch=1019, step=1020, lr=0.196000, batch loss=0.437826, epoch loss=44.480828 Batch=1079, step=1080, lr=0.195750, batch loss=0.227496, epoch loss=44.708324 Batch=1139, step=1140, lr=0.195250, batch loss=0.313770, epoch loss=45.022094 Batch=1199, step=1200, lr=0.195000, batch loss=0.262822, epoch loss=45.284917 Epoch=0, step=1200, lr=0.195000, epoch loss=45.284917 Batch=59, step=1260, lr=0.194750, batch loss=0.262513, epoch loss=0.262513 Batch=119, step=1320, lr=0.194750, batch loss=0.210106, epoch loss=0.472619 Batch=179, step=1380, lr=0.194500, batch loss=0.244535, epoch loss=0.717154 Batch=239, step=1440, lr=0.194250, batch loss=0.351697, epoch loss=1.068851 Batch=299, step=1500, lr=0.193750, batch loss=0.238694, epoch loss=1.307545 Batch=359, step=1560, lr=0.193750, batch loss=0.311830, epoch loss=1.619375 Batch=419, step=1620, lr=0.193250, batch loss=0.308085, epoch loss=1.927460 Batch=479, step=1680, lr=0.193250, batch loss=0.275423, epoch loss=2.202883 Batch=539, step=1740, lr=0.193000, batch loss=0.210407, epoch loss=2.413290 Batch=599, step=1800, lr=0.192750, batch loss=0.255024, epoch loss=2.668314 Batch=659, step=1860, lr=0.192500, batch loss=0.371512, epoch loss=3.039826 Batch=719, step=1920, lr=0.192000, batch loss=0.361106, epoch loss=3.400932 Batch=779, step=1980, lr=0.191750, batch loss=0.382836, epoch loss=3.783768 Batch=839, step=2040, lr=0.191500, batch loss=0.341730, epoch loss=4.125498 Batch=899, step=2100, lr=0.191250, batch loss=0.306843, epoch loss=4.432340 Batch=959, step=2160, lr=0.191000, batch loss=0.237470, epoch loss=4.669810 Batch=1019, step=2220, lr=0.190750, batch loss=0.364067, epoch loss=5.033877 Batch=1079, step=2280, lr=0.190750, batch loss=0.230268, epoch loss=5.264145 Batch=1139, step=2340, lr=0.190500, batch loss=0.274154, epoch loss=5.538298 Batch=1199, step=2400, lr=0.190250, batch loss=0.217525, epoch loss=5.755823 Epoch=1, step=2400, lr=0.190250, epoch loss=5.755823 Batch=59, step=2460, lr=0.190000, batch loss=0.229686, epoch loss=0.229686 Batch=119, step=2520, lr=0.189500, batch loss=0.189096, epoch loss=0.418782 Batch=179, step=2580, lr=0.189500, batch loss=0.220291, epoch loss=0.639073 Batch=239, step=2640, lr=0.189000, batch loss=0.335640, epoch loss=0.974714 Batch=299, step=2700, lr=0.189000, batch loss=0.215330, epoch loss=1.190044 Batch=359, step=2760, lr=0.188750, batch loss=0.293392, epoch loss=1.483435 Batch=419, step=2820, lr=0.188250, batch loss=0.282877, epoch loss=1.766313 Batch=479, step=2880, lr=0.188250, batch loss=0.261668, epoch loss=2.027980 Batch=539, step=2940, lr=0.187750, batch loss=0.201522, epoch loss=2.229502 Batch=599, step=3000, lr=0.187500, batch loss=0.244420, epoch loss=2.473922 Batch=659, step=3060, lr=0.187500, batch loss=0.344432, epoch loss=2.818354 Batch=719, step=3120, lr=0.187000, batch loss=0.341375, epoch loss=3.159729 Batch=779, step=3180, lr=0.187000, batch loss=0.364788, epoch loss=3.524517 Batch=839, step=3240, lr=0.186500, batch loss=0.323643, epoch loss=3.848160 Batch=899, step=3300, lr=0.186250, batch loss=0.289473, epoch loss=4.137633 Batch=959, step=3360, lr=0.186250, batch loss=0.221190, epoch loss=4.358823 Batch=1019, step=3420, lr=0.185750, batch loss=0.345820, epoch loss=4.704644 Batch=1079, step=3480, lr=0.185500, batch loss=0.212470, epoch loss=4.917114 Batch=1139, step=3540, lr=0.185250, batch loss=0.257023, epoch loss=5.174136 Batch=1199, step=3600, lr=0.185250, batch loss=0.199321, epoch loss=5.373457 Epoch=2, step=3600, lr=0.185250, epoch loss=5.373457 Batch=59, step=3660, lr=0.185000, batch loss=0.224817, epoch loss=0.224817 Batch=119, step=3720, lr=0.184750, batch loss=0.188860, epoch loss=0.413677 Batch=179, step=3780, lr=0.184250, batch loss=0.212718, epoch loss=0.626395 Batch=239, step=3840, lr=0.184250, batch loss=0.316171, epoch loss=0.942566 Batch=299, step=3900, lr=0.183750, batch loss=0.205207, epoch loss=1.147773 Batch=359, step=3960, lr=0.183500, batch loss=0.287933, epoch loss=1.435705 Batch=419, step=4020, lr=0.183250, batch loss=0.274371, epoch loss=1.710076 Batch=479, step=4080, lr=0.183000, batch loss=0.251212, epoch loss=1.961288 Batch=539, step=4140, lr=0.183000, batch loss=0.192487, epoch loss=2.153775 Batch=599, step=4200, lr=0.182750, batch loss=0.233681, epoch loss=2.387456 Batch=659, step=4260, lr=0.182500, batch loss=0.333393, epoch loss=2.720849 Batch=719, step=4320, lr=0.182250, batch loss=0.343238, epoch loss=3.064087 Batch=779, step=4380, lr=0.181750, batch loss=0.349389, epoch loss=3.413476 Batch=839, step=4440, lr=0.181500, batch loss=0.317487, epoch loss=3.730963 Batch=899, step=4500, lr=0.181500, batch loss=0.284544, epoch loss=4.015507 Batch=959, step=4560, lr=0.181250, batch loss=0.241085, epoch loss=4.256592 Batch=1019, step=4620, lr=0.181000, batch loss=0.329940, epoch loss=4.586532 Batch=1079, step=4680, lr=0.180750, batch loss=0.197454, epoch loss=4.783985 Batch=1139, step=4740, lr=0.180250, batch loss=0.233182, epoch loss=5.017168 Batch=1199, step=4800, lr=0.180000, batch loss=0.190781, epoch loss=5.207949 Epoch=3, step=4800, lr=0.180000, epoch loss=5.207949 Batch=59, step=4860, lr=0.180000, batch loss=0.229309, epoch loss=0.229309 Batch=119, step=4920, lr=0.179500, batch loss=0.189043, epoch loss=0.418352 Batch=179, step=4980, lr=0.179500, batch loss=0.205864, epoch loss=0.624216 Batch=239, step=5040, lr=0.179000, batch loss=0.307491, epoch loss=0.931707 Batch=299, step=5100, lr=0.179000, batch loss=0.209246, epoch loss=1.140953 Batch=359, step=5160, lr=0.178500, batch loss=0.273700, epoch loss=1.414653 Batch=419, step=5220, lr=0.178250, batch loss=0.265962, epoch loss=1.680615 Batch=479, step=5280, lr=0.178000, batch loss=0.240860, epoch loss=1.921475 Batch=539, step=5340, lr=0.178000, batch loss=0.188014, epoch loss=2.109489 Batch=599, step=5400, lr=0.177500, batch loss=0.233313, epoch loss=2.342802 Batch=659, step=5460, lr=0.177250, batch loss=0.321983, epoch loss=2.664785 Batch=719, step=5520, lr=0.177000, batch loss=0.322430, epoch loss=2.987215 Batch=779, step=5580, lr=0.177000, batch loss=0.342163, epoch loss=3.329379 Batch=839, step=5640, lr=0.176500, batch loss=0.310935, epoch loss=3.640313 Batch=899, step=5700, lr=0.176500, batch loss=0.271712, epoch loss=3.912025 Batch=959, step=5760, lr=0.176250, batch loss=0.219283, epoch loss=4.131308 Batch=1019, step=5820, lr=0.176000, batch loss=0.333952, epoch loss=4.465260 Batch=1079, step=5880, lr=0.175750, batch loss=0.191634, epoch loss=4.656894 Batch=1139, step=5940, lr=0.175250, batch loss=0.224244, epoch loss=4.881139 Batch=1199, step=6000, lr=0.175250, batch loss=0.188840, epoch loss=5.069979 Epoch=4, step=6000, lr=0.175250, epoch loss=5.069979 Batch=59, step=6060, lr=0.174750, batch loss=0.234564, epoch loss=0.234564 Batch=119, step=6120, lr=0.174500, batch loss=0.191337, epoch loss=0.425901 Batch=179, step=6180, lr=0.174500, batch loss=0.201332, epoch loss=0.627233 Batch=239, step=6240, lr=0.174250, batch loss=0.299351, epoch loss=0.926584 Batch=299, step=6300, lr=0.174000, batch loss=0.197983, epoch loss=1.124567 Batch=359, step=6360, lr=0.173750, batch loss=0.265734, epoch loss=1.390300 Batch=419, step=6420, lr=0.173500, batch loss=0.258860, epoch loss=1.649160 Batch=479, step=6480, lr=0.173000, batch loss=0.235365, epoch loss=1.884525 Batch=539, step=6540, lr=0.172750, batch loss=0.189350, epoch loss=2.073876 Batch=599, step=6600, lr=0.172500, batch loss=0.224807, epoch loss=2.298682 Batch=659, step=6660, lr=0.172250, batch loss=0.316874, epoch loss=2.615557 Batch=719, step=6720, lr=0.172000, batch loss=0.314449, epoch loss=2.930006 Batch=779, step=6780, lr=0.171750, batch loss=0.334708, epoch loss=3.264714 Batch=839, step=6840, lr=0.171500, batch loss=0.302357, epoch loss=3.567071 Batch=899, step=6900, lr=0.171250, batch loss=0.269148, epoch loss=3.836219 Batch=959, step=6960, lr=0.171000, batch loss=0.208329, epoch loss=4.044548 Batch=1019, step=7020, lr=0.170750, batch loss=0.333272, epoch loss=4.377820 Batch=1079, step=7080, lr=0.170750, batch loss=0.197929, epoch loss=4.575748 Batch=1139, step=7140, lr=0.170500, batch loss=0.230081, epoch loss=4.805829 Batch=1199, step=7200, lr=0.170000, batch loss=0.180478, epoch loss=4.986308 Epoch=5, step=7200, lr=0.170000, epoch loss=4.986308 Batch=59, step=7260, lr=0.169750, batch loss=0.224304, epoch loss=0.224304 Batch=119, step=7320, lr=0.169750, batch loss=0.188967, epoch loss=0.413271 Batch=179, step=7380, lr=0.169250, batch loss=0.196342, epoch loss=0.609613 Batch=239, step=7440, lr=0.169000, batch loss=0.293791, epoch loss=0.903404 Batch=299, step=7500, lr=0.169000, batch loss=0.199575, epoch loss=1.102979 Batch=359, step=7560, lr=0.168500, batch loss=0.259995, epoch loss=1.362974 Batch=419, step=7620, lr=0.168500, batch loss=0.255566, epoch loss=1.618540 Batch=479, step=7680, lr=0.168250, batch loss=0.237696, epoch loss=1.856235 Batch=539, step=7740, lr=0.167750, batch loss=0.186411, epoch loss=2.042647 Batch=599, step=7800, lr=0.167500, batch loss=0.225723, epoch loss=2.268370 Batch=659, step=7860, lr=0.167500, batch loss=0.306797, epoch loss=2.575167 Batch=719, step=7920, lr=0.167000, batch loss=0.310455, epoch loss=2.885622 Batch=779, step=7980, lr=0.166750, batch loss=0.330839, epoch loss=3.216461 Batch=839, step=8040, lr=0.166750, batch loss=0.293139, epoch loss=3.509599 Batch=899, step=8100, lr=0.166500, batch loss=0.262391, epoch loss=3.771990 Batch=959, step=8160, lr=0.166250, batch loss=0.193726, epoch loss=3.965716 Batch=1019, step=8220, lr=0.166000, batch loss=0.302327, epoch loss=4.268043 Batch=1079, step=8280, lr=0.165750, batch loss=0.183301, epoch loss=4.451344 Batch=1139, step=8340, lr=0.165500, batch loss=0.216455, epoch loss=4.667799 Batch=1199, step=8400, lr=0.165000, batch loss=0.173492, epoch loss=4.841292 Epoch=6, step=8400, lr=0.165000, epoch loss=4.841292 Batch=59, step=8460, lr=0.164750, batch loss=0.213193, epoch loss=0.213193 Batch=119, step=8520, lr=0.164750, batch loss=0.177567, epoch loss=0.390760 Batch=179, step=8580, lr=0.164500, batch loss=0.188964, epoch loss=0.579723 Batch=239, step=8640, lr=0.164000, batch loss=0.278429, epoch loss=0.858152 Batch=299, step=8700, lr=0.163750, batch loss=0.193026, epoch loss=1.051178 Batch=359, step=8760, lr=0.163750, batch loss=0.248510, epoch loss=1.299689 Batch=419, step=8820, lr=0.163500, batch loss=0.244515, epoch loss=1.544204 Batch=479, step=8880, lr=0.163250, batch loss=0.230845, epoch loss=1.775049 Batch=539, step=8940, lr=0.163000, batch loss=0.176687, epoch loss=1.951736 Batch=599, step=9000, lr=0.162750, batch loss=0.220100, epoch loss=2.171836 Batch=659, step=9060, lr=0.162500, batch loss=0.294282, epoch loss=2.466117 Batch=719, step=9120, lr=0.162000, batch loss=0.300751, epoch loss=2.766869 Batch=779, step=9180, lr=0.162000, batch loss=0.314996, epoch loss=3.081864 Batch=839, step=9240, lr=0.161500, batch loss=0.284108, epoch loss=3.365972 Batch=899, step=9300, lr=0.161500, batch loss=0.252544, epoch loss=3.618516 Batch=959, step=9360, lr=0.161250, batch loss=0.190623, epoch loss=3.809140 Batch=1019, step=9420, lr=0.161000, batch loss=0.318093, epoch loss=4.127232 Batch=1079, step=9480, lr=0.160750, batch loss=0.186727, epoch loss=4.313960 Batch=1139, step=9540, lr=0.160500, batch loss=0.207043, epoch loss=4.521002 Batch=1199, step=9600, lr=0.160000, batch loss=0.166638, epoch loss=4.687641 Epoch=7, step=9600, lr=0.160000, epoch loss=4.687641 Batch=59, step=9660, lr=0.159750, batch loss=0.196167, epoch loss=0.196167 Batch=119, step=9720, lr=0.159500, batch loss=0.162151, epoch loss=0.358318 Batch=179, step=9780, lr=0.159500, batch loss=0.180447, epoch loss=0.538765 Batch=239, step=9840, lr=0.159250, batch loss=0.263631, epoch loss=0.802397 Batch=299, step=9900, lr=0.158750, batch loss=0.186706, epoch loss=0.989102 Batch=359, step=9960, lr=0.158500, batch loss=0.241378, epoch loss=1.230480 Batch=419, step=10020, lr=0.158250, batch loss=0.233163, epoch loss=1.463643 Batch=479, step=10080, lr=0.158000, batch loss=0.215537, epoch loss=1.679181 Batch=539, step=10140, lr=0.157750, batch loss=0.170812, epoch loss=1.849993 Batch=599, step=10200, lr=0.157750, batch loss=0.203670, epoch loss=2.053663 Batch=659, step=10260, lr=0.157500, batch loss=0.282009, epoch loss=2.335672 Batch=719, step=10320, lr=0.157000, batch loss=0.281973, epoch loss=2.617645 Batch=779, step=10380, lr=0.157000, batch loss=0.299346, epoch loss=2.916991 Batch=839, step=10440, lr=0.156750, batch loss=0.274126, epoch loss=3.191117 Batch=899, step=10500, lr=0.156250, batch loss=0.239157, epoch loss=3.430274 Batch=959, step=10560, lr=0.156250, batch loss=0.202847, epoch loss=3.633121 Batch=1019, step=10620, lr=0.156000, batch loss=0.280746, epoch loss=3.913866 Batch=1079, step=10680, lr=0.155750, batch loss=0.152550, epoch loss=4.066416 Batch=1139, step=10740, lr=0.155500, batch loss=0.184156, epoch loss=4.250572 Batch=1199, step=10800, lr=0.155000, batch loss=0.159018, epoch loss=4.409589 Epoch=8, step=10800, lr=0.155000, epoch loss=4.409589 Batch=59, step=10860, lr=0.154750, batch loss=0.198424, epoch loss=0.198424 Batch=119, step=10920, lr=0.154500, batch loss=0.160738, epoch loss=0.359162 Batch=179, step=10980, lr=0.154500, batch loss=0.167324, epoch loss=0.526486 Batch=239, step=11040, lr=0.154000, batch loss=0.245953, epoch loss=0.772439 Batch=299, step=11100, lr=0.153750, batch loss=0.167116, epoch loss=0.939555 Batch=359, step=11160, lr=0.153500, batch loss=0.225851, epoch loss=1.165406 Batch=419, step=11220, lr=0.153250, batch loss=0.227207, epoch loss=1.392613 Batch=479, step=11280, lr=0.153250, batch loss=0.207480, epoch loss=1.600092 Batch=539, step=11340, lr=0.153000, batch loss=0.158636, epoch loss=1.758728 Batch=599, step=11400, lr=0.152500, batch loss=0.184726, epoch loss=1.943455 Batch=659, step=11460, lr=0.152250, batch loss=0.262994, epoch loss=2.206449 Batch=719, step=11520, lr=0.152250, batch loss=0.260025, epoch loss=2.466474 Batch=779, step=11580, lr=0.152000, batch loss=0.271607, epoch loss=2.738080 Batch=839, step=11640, lr=0.151750, batch loss=0.253093, epoch loss=2.991174 Batch=899, step=11700, lr=0.151500, batch loss=0.219299, epoch loss=3.210473 Batch=959, step=11760, lr=0.151000, batch loss=0.163656, epoch loss=3.374129 Batch=1019, step=11820, lr=0.151000, batch loss=0.278149, epoch loss=3.652278 Batch=1079, step=11880, lr=0.150500, batch loss=0.163387, epoch loss=3.815665 Batch=1139, step=11940, lr=0.150250, batch loss=0.189227, epoch loss=4.004892 Batch=1199, step=12000, lr=0.150250, batch loss=0.141608, epoch loss=4.146499 Epoch=9, step=12000, lr=0.150250, epoch loss=4.146499 Batch=59, step=12060, lr=0.150000, batch loss=0.160223, epoch loss=0.160223 Batch=119, step=12120, lr=0.149750, batch loss=0.129817, epoch loss=0.290040 Batch=179, step=12180, lr=0.149250, batch loss=0.152688, epoch loss=0.442728 Batch=239, step=12240, lr=0.149250, batch loss=0.224708, epoch loss=0.667436 Batch=299, step=12300, lr=0.149000, batch loss=0.149675, epoch loss=0.817111 Batch=359, step=12360, lr=0.148750, batch loss=0.204328, epoch loss=1.021439 Batch=419, step=12420, lr=0.148500, batch loss=0.216737, epoch loss=1.238176 Batch=479, step=12480, lr=0.148250, batch loss=0.175276, epoch loss=1.413452 Batch=539, step=12540, lr=0.147750, batch loss=0.148708, epoch loss=1.562160 Batch=599, step=12600, lr=0.147500, batch loss=0.153914, epoch loss=1.716074 Batch=659, step=12660, lr=0.147250, batch loss=0.227549, epoch loss=1.943623 Batch=719, step=12720, lr=0.147000, batch loss=0.238623, epoch loss=2.182246 Batch=779, step=12780, lr=0.146750, batch loss=0.257345, epoch loss=2.439591 Batch=839, step=12840, lr=0.146500, batch loss=0.228519, epoch loss=2.668111 Batch=899, step=12900, lr=0.146250, batch loss=0.189544, epoch loss=2.857655 Batch=959, step=12960, lr=0.146250, batch loss=0.154379, epoch loss=3.012034 Batch=1019, step=13020, lr=0.145750, batch loss=0.266628, epoch loss=3.278661 Batch=1079, step=13080, lr=0.145500, batch loss=0.116904, epoch loss=3.395565 Batch=1139, step=13140, lr=0.145250, batch loss=0.151829, epoch loss=3.547395 Batch=1199, step=13200, lr=0.145000, batch loss=0.120040, epoch loss=3.667434 Epoch=10, step=13200, lr=0.145000, epoch loss=3.667434 Batch=59, step=13260, lr=0.144750, batch loss=0.141975, epoch loss=0.141975 Batch=119, step=13320, lr=0.144750, batch loss=0.124709, epoch loss=0.266684 Batch=179, step=13380, lr=0.144250, batch loss=0.131936, epoch loss=0.398619 Batch=239, step=13440, lr=0.144000, batch loss=0.199955, epoch loss=0.598575 Batch=299, step=13500, lr=0.143750, batch loss=0.133533, epoch loss=0.732108 Batch=359, step=13560, lr=0.143500, batch loss=0.161958, epoch loss=0.894065 Batch=419, step=13620, lr=0.143250, batch loss=0.162763, epoch loss=1.056828 Batch=479, step=13680, lr=0.143250, batch loss=0.151820, epoch loss=1.208648 Batch=539, step=13740, lr=0.142750, batch loss=0.122248, epoch loss=1.330896 Batch=599, step=13800, lr=0.142500, batch loss=0.124080, epoch loss=1.454976 Batch=659, step=13860, lr=0.142250, batch loss=0.181645, epoch loss=1.636622 Batch=719, step=13920, lr=0.142250, batch loss=0.182350, epoch loss=1.818972 Batch=779, step=13980, lr=0.142000, batch loss=0.201835, epoch loss=2.020807 Batch=839, step=14040, lr=0.141500, batch loss=0.192350, epoch loss=2.213157 Batch=899, step=14100, lr=0.141250, batch loss=0.162284, epoch loss=2.375442 Batch=959, step=14160, lr=0.141000, batch loss=0.134706, epoch loss=2.510148 Batch=1019, step=14220, lr=0.140750, batch loss=0.270801, epoch loss=2.780949 Batch=1079, step=14280, lr=0.140500, batch loss=0.087119, epoch loss=2.868068 Batch=1139, step=14340, lr=0.140500, batch loss=0.135824, epoch loss=3.003891 Batch=1199, step=14400, lr=0.140250, batch loss=0.093374, epoch loss=3.097265 Epoch=11, step=14400, lr=0.140250, epoch loss=3.097265 Batch=59, step=14460, lr=0.139750, batch loss=0.116588, epoch loss=0.116588 Batch=119, step=14520, lr=0.139500, batch loss=0.110397, epoch loss=0.226985 Batch=179, step=14580, lr=0.139250, batch loss=0.106980, epoch loss=0.333964 Batch=239, step=14640, lr=0.139250, batch loss=0.146108, epoch loss=0.480072 Batch=299, step=14700, lr=0.138750, batch loss=0.083766, epoch loss=0.563838 Batch=359, step=14760, lr=0.138500, batch loss=0.126518, epoch loss=0.690356 Batch=419, step=14820, lr=0.138250, batch loss=0.134743, epoch loss=0.825099 Batch=479, step=14880, lr=0.138000, batch loss=0.103912, epoch loss=0.929011 Batch=539, step=14940, lr=0.137750, batch loss=0.086624, epoch loss=1.015635 Batch=599, step=15000, lr=0.137500, batch loss=0.088146, epoch loss=1.103780 Batch=659, step=15060, lr=0.137250, batch loss=0.132222, epoch loss=1.236002 Batch=719, step=15120, lr=0.137250, batch loss=0.122519, epoch loss=1.358522 Batch=779, step=15180, lr=0.137000, batch loss=0.124843, epoch loss=1.483364 Batch=839, step=15240, lr=0.136750, batch loss=0.146342, epoch loss=1.629706 Batch=899, step=15300, lr=0.136250, batch loss=0.152332, epoch loss=1.782038 Batch=959, step=15360, lr=0.136000, batch loss=0.142633, epoch loss=1.924671 Batch=1019, step=15420, lr=0.135750, batch loss=0.429152, epoch loss=2.353823 Batch=1079, step=15480, lr=0.135500, batch loss=0.040433, epoch loss=2.394256 Batch=1139, step=15540, lr=0.135250, batch loss=0.080361, epoch loss=2.474617 Batch=1199, step=15600, lr=0.135000, batch loss=0.059832, epoch loss=2.534448 Epoch=12, step=15600, lr=0.135000, epoch loss=2.534448 Batch=59, step=15660, lr=0.135000, batch loss=0.089247, epoch loss=0.089247 Batch=119, step=15720, lr=0.134750, batch loss=0.097237, epoch loss=0.186484 Batch=179, step=15780, lr=0.134250, batch loss=0.091826, epoch loss=0.278310 Batch=239, step=15840, lr=0.134250, batch loss=0.100461, epoch loss=0.378771 Batch=299, step=15900, lr=0.133750, batch loss=0.041446, epoch loss=0.420217 Batch=359, step=15960, lr=0.133500, batch loss=0.079593, epoch loss=0.499810 Batch=419, step=16020, lr=0.133500, batch loss=0.082269, epoch loss=0.582079 Batch=479, step=16080, lr=0.133250, batch loss=0.059364, epoch loss=0.641444 Batch=539, step=16140, lr=0.132750, batch loss=0.075338, epoch loss=0.716781 Batch=599, step=16200, lr=0.132750, batch loss=0.155524, epoch loss=0.872305 Batch=659, step=16260, lr=0.132250, batch loss=0.097641, epoch loss=0.969947 Batch=719, step=16320, lr=0.132000, batch loss=0.135795, epoch loss=1.105742 Batch=779, step=16380, lr=0.131750, batch loss=0.272390, epoch loss=1.378132 Batch=839, step=16440, lr=0.131750, batch loss=0.092409, epoch loss=1.470541 Batch=899, step=16500, lr=0.131500, batch loss=0.076927, epoch loss=1.547468 Batch=959, step=16560, lr=0.131000, batch loss=0.036207, epoch loss=1.583675 Batch=1019, step=16620, lr=0.131000, batch loss=0.090344, epoch loss=1.674018 Batch=1079, step=16680, lr=0.130500, batch loss=0.038196, epoch loss=1.712215 Batch=1139, step=16740, lr=0.130500, batch loss=0.083154, epoch loss=1.795369 Batch=1199, step=16800, lr=0.130000, batch loss=0.039250, epoch loss=1.834618 Epoch=13, step=16800, lr=0.130000, epoch loss=1.834618 Batch=59, step=16860, lr=0.130000, batch loss=0.037820, epoch loss=0.037820 Batch=119, step=16920, lr=0.129750, batch loss=0.038890, epoch loss=0.076710 Batch=179, step=16980, lr=0.129250, batch loss=0.045458, epoch loss=0.122168 Batch=239, step=17040, lr=0.129250, batch loss=0.061287, epoch loss=0.183456 Batch=299, step=17100, lr=0.129000, batch loss=0.022910, epoch loss=0.206366 Batch=359, step=17160, lr=0.128500, batch loss=0.045032, epoch loss=0.251398 Batch=419, step=17220, lr=0.128250, batch loss=0.047579, epoch loss=0.298977 Batch=479, step=17280, lr=0.128000, batch loss=0.026421, epoch loss=0.325397 Batch=539, step=17340, lr=0.128000, batch loss=0.031442, epoch loss=0.356840 Batch=599, step=17400, lr=0.127500, batch loss=0.036481, epoch loss=0.393321 Batch=659, step=17460, lr=0.127250, batch loss=0.050234, epoch loss=0.443554 Batch=719, step=17520, lr=0.127000, batch loss=0.099575, epoch loss=0.543130 Batch=779, step=17580, lr=0.127000, batch loss=0.274288, epoch loss=0.817418 Batch=839, step=17640, lr=0.126500, batch loss=0.066895, epoch loss=0.884313 Batch=899, step=17700, lr=0.126500, batch loss=0.055267, epoch loss=0.939580 Batch=959, step=17760, lr=0.126250, batch loss=0.020243, epoch loss=0.959823 Batch=1019, step=17820, lr=0.125750, batch loss=0.045013, epoch loss=1.004836 Batch=1079, step=17880, lr=0.125500, batch loss=0.024740, epoch loss=1.029576 Batch=1139, step=17940, lr=0.125500, batch loss=0.062942, epoch loss=1.092518 Batch=1199, step=18000, lr=0.125250, batch loss=0.022929, epoch loss=1.115447 Epoch=14, step=18000, lr=0.125250, epoch loss=1.115447 Batch=59, step=18060, lr=0.125000, batch loss=0.016214, epoch loss=0.016214 Batch=119, step=18120, lr=0.124500, batch loss=0.021114, epoch loss=0.037327 Batch=179, step=18180, lr=0.124250, batch loss=0.032041, epoch loss=0.069368 Batch=239, step=18240, lr=0.124000, batch loss=0.040997, epoch loss=0.110365 Batch=299, step=18300, lr=0.123750, batch loss=0.017077, epoch loss=0.127442 Batch=359, step=18360, lr=0.123750, batch loss=0.027526, epoch loss=0.154968 Batch=419, step=18420, lr=0.123500, batch loss=0.035159, epoch loss=0.190127 Batch=479, step=18480, lr=0.123000, batch loss=0.026604, epoch loss=0.216731 Batch=539, step=18540, lr=0.123000, batch loss=0.058008, epoch loss=0.274739 Batch=599, step=18600, lr=0.122500, batch loss=0.029169, epoch loss=0.303908 Batch=659, step=18660, lr=0.122500, batch loss=0.034631, epoch loss=0.338539 Batch=719, step=18720, lr=0.122000, batch loss=0.024350, epoch loss=0.362890 Batch=779, step=18780, lr=0.122000, batch loss=0.046609, epoch loss=0.409499 Batch=839, step=18840, lr=0.121500, batch loss=0.068249, epoch loss=0.477748 Batch=899, step=18900, lr=0.121250, batch loss=0.117654, epoch loss=0.595403 Batch=959, step=18960, lr=0.121000, batch loss=0.018192, epoch loss=0.613594 Batch=1019, step=19020, lr=0.120750, batch loss=0.023196, epoch loss=0.636790 Batch=1079, step=19080, lr=0.120750, batch loss=0.007194, epoch loss=0.643983 Batch=1139, step=19140, lr=0.120250, batch loss=0.026368, epoch loss=0.670351 Batch=1199, step=19200, lr=0.120250, batch loss=0.011994, epoch loss=0.682345 Epoch=15, step=19200, lr=0.120250, epoch loss=0.682345 Batch=59, step=19260, lr=0.120000, batch loss=0.006767, epoch loss=0.006767 Batch=119, step=19320, lr=0.119750, batch loss=0.017151, epoch loss=0.023918 Batch=179, step=19380, lr=0.119500, batch loss=0.034519, epoch loss=0.058436 Batch=239, step=19440, lr=0.119250, batch loss=0.022745, epoch loss=0.081181 Batch=299, step=19500, lr=0.118750, batch loss=0.005691, epoch loss=0.086872 Batch=359, step=19560, lr=0.118750, batch loss=0.019565, epoch loss=0.106437 Batch=419, step=19620, lr=0.118250, batch loss=0.020456, epoch loss=0.126894 Batch=479, step=19680, lr=0.118000, batch loss=0.007830, epoch loss=0.134723 Batch=539, step=19740, lr=0.118000, batch loss=0.028084, epoch loss=0.162807 Batch=599, step=19800, lr=0.117500, batch loss=0.028455, epoch loss=0.191262 Batch=659, step=19860, lr=0.117500, batch loss=0.015764, epoch loss=0.207026 Batch=719, step=19920, lr=0.117250, batch loss=0.034082, epoch loss=0.241108 Batch=779, step=19980, lr=0.117000, batch loss=0.051708, epoch loss=0.292816 Batch=839, step=20040, lr=0.116500, batch loss=0.036653, epoch loss=0.329469 Batch=899, step=20100, lr=0.116500, batch loss=0.037903, epoch loss=0.367372 Batch=959, step=20160, lr=0.116250, batch loss=0.014098, epoch loss=0.381470 Batch=1019, step=20220, lr=0.115750, batch loss=0.023448, epoch loss=0.404919 Batch=1079, step=20280, lr=0.115500, batch loss=0.004333, epoch loss=0.409251 Batch=1139, step=20340, lr=0.115500, batch loss=0.016770, epoch loss=0.426021 Batch=1199, step=20400, lr=0.115000, batch loss=0.006724, epoch loss=0.432745 Epoch=16, step=20400, lr=0.115000, epoch loss=0.432745 Batch=59, step=20460, lr=0.114750, batch loss=0.003336, epoch loss=0.003336 Batch=119, step=20520, lr=0.114500, batch loss=0.011538, epoch loss=0.014874 Batch=179, step=20580, lr=0.114500, batch loss=0.026874, epoch loss=0.041748 Batch=239, step=20640, lr=0.114000, batch loss=0.015144, epoch loss=0.056892 Batch=299, step=20700, lr=0.114000, batch loss=0.003733, epoch loss=0.060624 Batch=359, step=20760, lr=0.113750, batch loss=0.014171, epoch loss=0.074796 Batch=419, step=20820, lr=0.113500, batch loss=0.017052, epoch loss=0.091848 Batch=479, step=20880, lr=0.113250, batch loss=0.004139, epoch loss=0.095987 Batch=539, step=20940, lr=0.113000, batch loss=0.016947, epoch loss=0.112934 Batch=599, step=21000, lr=0.112500, batch loss=0.018386, epoch loss=0.131321 Batch=659, step=21060, lr=0.112250, batch loss=0.014177, epoch loss=0.145497 Batch=719, step=21120, lr=0.112000, batch loss=0.029519, epoch loss=0.175017 Batch=779, step=21180, lr=0.111750, batch loss=0.046730, epoch loss=0.221746 Batch=839, step=21240, lr=0.111750, batch loss=0.029590, epoch loss=0.251337 Batch=899, step=21300, lr=0.111500, batch loss=0.034995, epoch loss=0.286332 Batch=959, step=21360, lr=0.111000, batch loss=0.010650, epoch loss=0.296981 Batch=1019, step=21420, lr=0.111000, batch loss=0.013536, epoch loss=0.310517 Batch=1079, step=21480, lr=0.110750, batch loss=0.002816, epoch loss=0.313334 Batch=1139, step=21540, lr=0.110250, batch loss=0.012091, epoch loss=0.325425 Batch=1199, step=21600, lr=0.110000, batch loss=0.005011, epoch loss=0.330436 Epoch=17, step=21600, lr=0.110000, epoch loss=0.330436 Batch=59, step=21660, lr=0.110000, batch loss=0.002432, epoch loss=0.002432 Batch=119, step=21720, lr=0.109750, batch loss=0.007597, epoch loss=0.010030 Batch=179, step=21780, lr=0.109250, batch loss=0.013147, epoch loss=0.023176 Batch=239, step=21840, lr=0.109000, batch loss=0.012832, epoch loss=0.036009 Batch=299, step=21900, lr=0.109000, batch loss=0.002387, epoch loss=0.038395 Batch=359, step=21960, lr=0.108750, batch loss=0.011680, epoch loss=0.050076 Batch=419, step=22020, lr=0.108500, batch loss=0.012474, epoch loss=0.062549 Batch=479, step=22080, lr=0.108250, batch loss=0.003728, epoch loss=0.066277 Batch=539, step=22140, lr=0.108000, batch loss=0.016272, epoch loss=0.082549 Batch=599, step=22200, lr=0.107500, batch loss=0.015992, epoch loss=0.098541 Batch=659, step=22260, lr=0.107250, batch loss=0.014042, epoch loss=0.112584 Batch=719, step=22320, lr=0.107250, batch loss=0.032491, epoch loss=0.145075 Batch=779, step=22380, lr=0.106750, batch loss=0.042776, epoch loss=0.187851 Batch=839, step=22440, lr=0.106500, batch loss=0.021068, epoch loss=0.208919 Batch=899, step=22500, lr=0.106250, batch loss=0.022039, epoch loss=0.230958 Batch=959, step=22560, lr=0.106000, batch loss=0.011461, epoch loss=0.242419 Batch=1019, step=22620, lr=0.105750, batch loss=0.009248, epoch loss=0.251667 Batch=1079, step=22680, lr=0.105750, batch loss=0.001312, epoch loss=0.252979 Batch=1139, step=22740, lr=0.105250, batch loss=0.010988, epoch loss=0.263967 Batch=1199, step=22800, lr=0.105000, batch loss=0.004364, epoch loss=0.268331 Epoch=18, step=22800, lr=0.105000, epoch loss=0.268331 Batch=59, step=22860, lr=0.105000, batch loss=0.001704, epoch loss=0.001704 Batch=119, step=22920, lr=0.104500, batch loss=0.005424, epoch loss=0.007128 Batch=179, step=22980, lr=0.104500, batch loss=0.011323, epoch loss=0.018451 Batch=239, step=23040, lr=0.104250, batch loss=0.010513, epoch loss=0.028965 Batch=299, step=23100, lr=0.104000, batch loss=0.011402, epoch loss=0.040366 Batch=359, step=23160, lr=0.103500, batch loss=0.012144, epoch loss=0.052510 Batch=419, step=23220, lr=0.103250, batch loss=0.010819, epoch loss=0.063330 Batch=479, step=23280, lr=0.103250, batch loss=0.003953, epoch loss=0.067283 Batch=539, step=23340, lr=0.103000, batch loss=0.014099, epoch loss=0.081382 Batch=599, step=23400, lr=0.102500, batch loss=0.014516, epoch loss=0.095898 Batch=659, step=23460, lr=0.102500, batch loss=0.014535, epoch loss=0.110433 Batch=719, step=23520, lr=0.102250, batch loss=0.021188, epoch loss=0.131622 Batch=779, step=23580, lr=0.101750, batch loss=0.025156, epoch loss=0.156778 Batch=839, step=23640, lr=0.101500, batch loss=0.028833, epoch loss=0.185611 Batch=899, step=23700, lr=0.101250, batch loss=0.021469, epoch loss=0.207080 Batch=959, step=23760, lr=0.101250, batch loss=0.009782, epoch loss=0.216861 Batch=1019, step=23820, lr=0.100750, batch loss=0.007591, epoch loss=0.224453 Batch=1079, step=23880, lr=0.100750, batch loss=0.001004, epoch loss=0.225457 Batch=1139, step=23940, lr=0.100500, batch loss=0.008968, epoch loss=0.234425 Batch=1199, step=24000, lr=0.100000, batch loss=0.004448, epoch loss=0.238873 Epoch=19, step=24000, lr=0.100000, epoch loss=0.238873 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-10 12:45.30 ---> saved as "ecd6efc96e5b4f74732fcd53bd55ce0265d389ed39506decbb5955fc244fc6a7" Job succeeded 2025-05-10 12:45.30: Job succeeded