2025-05-10 12:34.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (95dddcaeb6be8e792001ef8acd80af8e44d112ac) (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 95dddcae 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 12:34.49: 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 12:34.49: 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 12:34.49: Waiting for resource in pool OCluster 2025-05-10 12:34.49: Waiting for worker… 2025-05-10 12:35.01: Got resource from pool OCluster Building on bremusa.ocamllabs.io HEAD is now at d36b4190 experiment HEAD is now at 95dddcae Don't fail if ocannl_config not found (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 12:35.02 ---> 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 12:35.02 ---> 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 12:35.02 ---> 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 12:35.02 ---> using "bbea99c20ed515ef2fe261fc823d093d079ef495d3a45cfaf2f85630d6f346ad" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-10 12:35.02 ---> 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 12:35.02 ---> using "2415ab7306ec3082b4f1ed0abb02fca4f313d14995e38483342aed5820bf69c6" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-10 12:35.02 ---> 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 12:35.02 ---> using "041919ec116e6235798633087982abedbfcf89babd6c39612469ed23b0e67c59" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-10 12:35.02 ---> 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 12:35.02 ---> 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 12:35.02 ---> using "1d81af7b670c73a51c7ec64ca20140022e713c3ae8a5945ed575ff4f5f4bc183" from cache /src: (copy (src .) (dst /src)) 2025-05-10 12:35.02 ---> saved as "4513c638ebbb979d149bc1d0e984970d4d06435e527e0a7ce07faf91403f0b59" /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 '' -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 '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 '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=0.199750, 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=0.194500, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243648, epoch loss=0.711028 Batch=239, step=1440, lr=0.194250, batch loss=0.347884, epoch loss=1.058912 Batch=299, step=1500, lr=0.194000, batch loss=0.247376, epoch loss=1.306288 Batch=359, step=1560, lr=0.193750, batch loss=0.316538, epoch loss=1.622827 Batch=419, step=1620, lr=0.193500, batch loss=0.312762, epoch loss=1.935589 Batch=479, step=1680, lr=0.193250, batch loss=0.276254, epoch loss=2.211843 Batch=539, step=1740, lr=0.193000, batch loss=0.209847, epoch loss=2.421689 Batch=599, step=1800, lr=0.192750, batch loss=0.250347, epoch loss=2.672036 Batch=659, step=1860, lr=0.192500, batch loss=0.367235, epoch loss=3.039271 Batch=719, step=1920, lr=0.192250, batch loss=0.354885, epoch loss=3.394157 Batch=779, step=1980, lr=0.192000, batch loss=0.381412, epoch loss=3.775569 Batch=839, step=2040, lr=0.191750, batch loss=0.339635, epoch loss=4.115204 Batch=899, step=2100, lr=0.191500, batch loss=0.295241, epoch loss=4.410444 Batch=959, step=2160, lr=0.191250, batch loss=0.214004, epoch loss=4.624448 Batch=1019, step=2220, lr=0.191000, batch loss=0.331041, epoch loss=4.955489 Batch=1079, step=2280, lr=0.190750, batch loss=0.208153, epoch loss=5.163642 Batch=1139, step=2340, lr=0.190500, batch loss=0.278446, epoch loss=5.442088 Batch=1199, step=2400, lr=0.190250, batch loss=0.220772, epoch loss=5.662860 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662860 Batch=59, step=2460, lr=0.190000, batch loss=0.230334, epoch loss=0.230334 Batch=119, step=2520, lr=0.189750, batch loss=0.195995, epoch loss=0.426329 Batch=179, step=2580, lr=0.189500, batch loss=0.221146, epoch loss=0.647475 Batch=239, step=2640, lr=0.189250, batch loss=0.328103, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202977, epoch loss=1.178555 Batch=359, step=2760, lr=0.188750, batch loss=0.289866, epoch loss=1.468421 Batch=419, step=2820, lr=0.188500, batch loss=0.281778, epoch loss=1.750199 Batch=479, step=2880, lr=0.188250, batch loss=0.264805, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203848, epoch loss=2.218852 Batch=599, step=3000, lr=0.187750, batch loss=0.248022, epoch loss=2.466874 Batch=659, step=3060, lr=0.187500, batch loss=0.345096, epoch loss=2.811970 Batch=719, step=3120, lr=0.187250, batch loss=0.343499, epoch loss=3.155469 Batch=779, step=3180, lr=0.187000, batch loss=0.367031, epoch loss=3.522500 Batch=839, step=3240, lr=0.186750, batch loss=0.321764, epoch loss=3.844264 Batch=899, step=3300, lr=0.186500, batch loss=0.283901, epoch loss=4.128165 Batch=959, step=3360, lr=0.186250, batch loss=0.214363, epoch loss=4.342529 Batch=1019, step=3420, lr=0.186000, batch loss=0.306466, epoch loss=4.648995 Batch=1079, step=3480, lr=0.185750, batch loss=0.177246, epoch loss=4.826241 Batch=1139, step=3540, lr=0.185500, batch loss=0.235618, epoch loss=5.061859 Batch=1199, step=3600, lr=0.185250, batch loss=0.197914, epoch loss=5.259773 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259773 Batch=59, step=3660, lr=0.185000, batch loss=0.226490, epoch loss=0.226490 Batch=119, step=3720, lr=0.184750, batch loss=0.191849, epoch loss=0.418338 Batch=179, step=3780, lr=0.184500, batch loss=0.210710, epoch loss=0.629048 Batch=239, step=3840, lr=0.184250, batch loss=0.314088, epoch loss=0.943136 Batch=299, step=3900, lr=0.184000, batch loss=0.206078, epoch loss=1.149215 Batch=359, step=3960, lr=0.183750, batch loss=0.291173, epoch loss=1.440388 Batch=419, step=4020, lr=0.183500, batch loss=0.297507, epoch loss=1.737895 Batch=479, step=4080, lr=0.183250, batch loss=0.260460, epoch loss=1.998355 Batch=539, step=4140, lr=0.183000, batch loss=0.195274, epoch loss=2.193628 Batch=599, step=4200, lr=0.182750, batch loss=0.230330, epoch loss=2.423959 Batch=659, step=4260, lr=0.182500, batch loss=0.337204, epoch loss=2.761163 Batch=719, step=4320, lr=0.182250, batch loss=0.347062, epoch loss=3.108225 Batch=779, step=4380, lr=0.182000, batch loss=0.346372, epoch loss=3.454597 Batch=839, step=4440, lr=0.181750, batch loss=0.317723, epoch loss=3.772320 Batch=899, step=4500, lr=0.181500, batch loss=0.283986, epoch loss=4.056306 Batch=959, step=4560, lr=0.181250, batch loss=0.238260, epoch loss=4.294566 Batch=1019, step=4620, lr=0.181000, batch loss=0.337025, epoch loss=4.631591 Batch=1079, step=4680, lr=0.180750, batch loss=0.208451, epoch loss=4.840042 Batch=1139, step=4740, lr=0.180500, batch loss=0.249298, epoch loss=5.089340 Batch=1199, step=4800, lr=0.180250, batch loss=0.191772, epoch loss=5.281112 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281112 Batch=59, step=4860, lr=0.180000, batch loss=0.228004, epoch loss=0.228004 Batch=119, step=4920, lr=0.179750, batch loss=0.190281, epoch loss=0.418286 Batch=179, step=4980, lr=0.179500, batch loss=0.205911, epoch loss=0.624197 Batch=239, step=5040, lr=0.179250, batch loss=0.309035, epoch loss=0.933232 Batch=299, step=5100, lr=0.179000, batch loss=0.204663, epoch loss=1.137894 Batch=359, step=5160, lr=0.178750, batch loss=0.271100, epoch loss=1.408994 Batch=419, step=5220, lr=0.178500, batch loss=0.264070, epoch loss=1.673064 Batch=479, step=5280, lr=0.178250, batch loss=0.239663, epoch loss=1.912727 Batch=539, step=5340, lr=0.178000, batch loss=0.189504, epoch loss=2.102231 Batch=599, step=5400, lr=0.177750, batch loss=0.230939, epoch loss=2.333170 Batch=659, step=5460, lr=0.177500, batch loss=0.323649, epoch loss=2.656819 Batch=719, step=5520, lr=0.177250, batch loss=0.325804, epoch loss=2.982623 Batch=779, step=5580, lr=0.177000, batch loss=0.343247, epoch loss=3.325870 Batch=839, step=5640, lr=0.176750, batch loss=0.309295, epoch loss=3.635166 Batch=899, step=5700, lr=0.176500, batch loss=0.273237, epoch loss=3.908403 Batch=959, step=5760, lr=0.176250, batch loss=0.214798, epoch loss=4.123201 Batch=1019, step=5820, lr=0.176000, batch loss=0.339325, epoch loss=4.462526 Batch=1079, step=5880, lr=0.175750, batch loss=0.207698, epoch loss=4.670224 Batch=1139, step=5940, lr=0.175500, batch loss=0.240071, epoch loss=4.910294 Batch=1199, step=6000, lr=0.175250, batch loss=0.186880, epoch loss=5.097174 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097174 Batch=59, step=6060, lr=0.175000, batch loss=0.230486, epoch loss=0.230486 Batch=119, step=6120, lr=0.174750, batch loss=0.194335, epoch loss=0.424821 Batch=179, step=6180, lr=0.174500, batch loss=0.201549, epoch loss=0.626370 Batch=239, step=6240, lr=0.174250, batch loss=0.302362, epoch loss=0.928732 Batch=299, step=6300, lr=0.174000, batch loss=0.203974, epoch loss=1.132706 Batch=359, step=6360, lr=0.173750, batch loss=0.266075, epoch loss=1.398781 Batch=419, step=6420, lr=0.173500, batch loss=0.265320, epoch loss=1.664101 Batch=479, step=6480, lr=0.173250, batch loss=0.243288, epoch loss=1.907389 Batch=539, step=6540, lr=0.173000, batch loss=0.193011, epoch loss=2.100400 Batch=599, step=6600, lr=0.172750, batch loss=0.234458, epoch loss=2.334858 Batch=659, step=6660, lr=0.172250, batch loss=0.312130, epoch loss=2.646988 Batch=719, step=6720, lr=0.172250, batch loss=0.314191, epoch loss=2.961179 Batch=779, step=6780, lr=0.172000, batch loss=0.333285, epoch loss=3.294464 Batch=839, step=6840, lr=0.171750, batch loss=0.303720, epoch loss=3.598183 Batch=899, step=6900, lr=0.171500, batch loss=0.268530, epoch loss=3.866713 Batch=959, step=6960, lr=0.171250, batch loss=0.210927, epoch loss=4.077640 Batch=1019, step=7020, lr=0.171000, batch loss=0.330581, epoch loss=4.408222 Batch=1079, step=7080, lr=0.170750, batch loss=0.180746, epoch loss=4.588968 Batch=1139, step=7140, lr=0.170500, batch loss=0.216351, epoch loss=4.805318 Batch=1199, step=7200, lr=0.170250, batch loss=0.181953, epoch loss=4.987272 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987272 Batch=59, step=7260, lr=0.170000, batch loss=0.232774, epoch loss=0.232774 Batch=119, step=7320, lr=0.169750, batch loss=0.184517, epoch loss=0.417291 Batch=179, step=7380, lr=0.169500, batch loss=0.196313, epoch loss=0.613604 Batch=239, step=7440, lr=0.169250, batch loss=0.290811, epoch loss=0.904415 Batch=299, step=7500, lr=0.169000, batch loss=0.200880, epoch loss=1.105295 Batch=359, step=7560, lr=0.168750, batch loss=0.258391, epoch loss=1.363686 Batch=419, step=7620, lr=0.168500, batch loss=0.256847, epoch loss=1.620533 Batch=479, step=7680, lr=0.168250, batch loss=0.235969, epoch loss=1.856502 Batch=539, step=7740, lr=0.168000, batch loss=0.187936, epoch loss=2.044438 Batch=599, step=7800, lr=0.167750, batch loss=0.223887, epoch loss=2.268325 Batch=659, step=7860, lr=0.167500, batch loss=0.305939, epoch loss=2.574264 Batch=719, step=7920, lr=0.167250, batch loss=0.309260, epoch loss=2.883524 Batch=779, step=7980, lr=0.167000, batch loss=0.330050, epoch loss=3.213574 Batch=839, step=8040, lr=0.166750, batch loss=0.292359, epoch loss=3.505933 Batch=899, step=8100, lr=0.166500, batch loss=0.261857, epoch loss=3.767790 Batch=959, step=8160, lr=0.166250, batch loss=0.193150, epoch loss=3.960940 Batch=1019, step=8220, lr=0.166000, batch loss=0.301101, epoch loss=4.262040 Batch=1079, step=8280, lr=0.165750, batch loss=0.183454, epoch loss=4.445494 Batch=1139, step=8340, lr=0.165500, batch loss=0.215295, epoch loss=4.660789 Batch=1199, step=8400, lr=0.165250, batch loss=0.172434, epoch loss=4.833223 Epoch=6, step=8400, lr=0.165250, epoch loss=4.833223 Batch=59, step=8460, lr=0.165000, batch loss=0.213134, epoch loss=0.213134 Batch=119, step=8520, lr=0.164750, batch loss=0.177571, epoch loss=0.390705 Batch=179, step=8580, lr=0.164500, batch loss=0.188833, epoch loss=0.579537 Batch=239, step=8640, lr=0.164250, batch loss=0.279706, epoch loss=0.859244 Batch=299, step=8700, lr=0.164000, batch loss=0.191844, epoch loss=1.051088 Batch=359, step=8760, lr=0.163750, batch loss=0.248330, epoch loss=1.299418 Batch=419, step=8820, lr=0.163500, batch loss=0.244472, epoch loss=1.543890 Batch=479, step=8880, lr=0.163250, batch loss=0.229641, epoch loss=1.773531 Batch=539, step=8940, lr=0.163000, batch loss=0.176816, epoch loss=1.950348 Batch=599, step=9000, lr=0.162750, batch loss=0.218439, epoch loss=2.168787 Batch=659, step=9060, lr=0.162500, batch loss=0.294750, epoch loss=2.463537 Batch=719, step=9120, lr=0.162250, batch loss=0.299213, epoch loss=2.762749 Batch=779, step=9180, lr=0.162000, batch loss=0.315928, epoch loss=3.078677 Batch=839, step=9240, lr=0.161750, batch loss=0.281923, epoch loss=3.360600 Batch=899, step=9300, lr=0.161500, batch loss=0.252884, epoch loss=3.613484 Batch=959, step=9360, lr=0.161250, batch loss=0.210688, epoch loss=3.824172 Batch=1019, step=9420, lr=0.161000, batch loss=0.298251, epoch loss=4.122422 Batch=1079, step=9480, lr=0.160750, batch loss=0.177930, epoch loss=4.300352 Batch=1139, step=9540, lr=0.160500, batch loss=0.205975, epoch loss=4.506327 Batch=1199, step=9600, lr=0.160250, batch loss=0.164501, epoch loss=4.670828 Epoch=7, step=9600, lr=0.160250, epoch loss=4.670828 Batch=59, step=9660, lr=0.160000, batch loss=0.191403, epoch loss=0.191403 Batch=119, step=9720, lr=0.159750, batch loss=0.162887, epoch loss=0.354290 Batch=179, step=9780, lr=0.159500, batch loss=0.178842, epoch loss=0.533133 Batch=239, step=9840, lr=0.159250, batch loss=0.261192, epoch loss=0.794325 Batch=299, step=9900, lr=0.159000, batch loss=0.183764, epoch loss=0.978089 Batch=359, step=9960, lr=0.158750, batch loss=0.245329, epoch loss=1.223418 Batch=419, step=10020, lr=0.158500, batch loss=0.243626, epoch loss=1.467044 Batch=479, step=10080, lr=0.158250, batch loss=0.222574, epoch loss=1.689617 Batch=539, step=10140, lr=0.158000, batch loss=0.164649, epoch loss=1.854266 Batch=599, step=10200, lr=0.157750, batch loss=0.197236, epoch loss=2.051502 Batch=659, step=10260, lr=0.157500, batch loss=0.282826, epoch loss=2.334328 Batch=719, step=10320, lr=0.157250, batch loss=0.278953, epoch loss=2.613281 Batch=779, step=10380, lr=0.157000, batch loss=0.295782, epoch loss=2.909063 Batch=839, step=10440, lr=0.156750, batch loss=0.269810, epoch loss=3.178872 Batch=899, step=10500, lr=0.156500, batch loss=0.237328, epoch loss=3.416201 Batch=959, step=10560, lr=0.156250, batch loss=0.176184, epoch loss=3.592384 Batch=1019, step=10620, lr=0.156000, batch loss=0.298944, epoch loss=3.891328 Batch=1079, step=10680, lr=0.155750, batch loss=0.178949, epoch loss=4.070277 Batch=1139, step=10740, lr=0.155500, batch loss=0.200721, epoch loss=4.270998 Batch=1199, step=10800, lr=0.155250, batch loss=0.155417, epoch loss=4.426415 Epoch=8, step=10800, lr=0.155250, epoch loss=4.426415 Batch=59, step=10860, lr=0.154750, batch loss=0.177294, epoch loss=0.177294 Batch=119, step=10920, lr=0.154750, batch loss=0.153020, epoch loss=0.330315 Batch=179, step=10980, lr=0.154500, batch loss=0.166330, epoch loss=0.496645 Batch=239, step=11040, lr=0.154250, batch loss=0.245511, epoch loss=0.742156 Batch=299, step=11100, lr=0.153750, batch loss=0.161938, epoch loss=0.904094 Batch=359, step=11160, lr=0.153500, batch loss=0.223760, epoch loss=1.127854 Batch=419, step=11220, lr=0.153500, batch loss=0.234731, epoch loss=1.362585 Batch=479, step=11280, lr=0.153250, batch loss=0.197906, epoch loss=1.560490 Batch=539, step=11340, lr=0.152750, batch loss=0.158765, epoch loss=1.719256 Batch=599, step=11400, lr=0.152500, batch loss=0.184916, epoch loss=1.904172 Batch=659, step=11460, lr=0.152250, batch loss=0.260560, epoch loss=2.164732 Batch=719, step=11520, lr=0.152000, batch loss=0.259346, epoch loss=2.424078 Batch=779, step=11580, lr=0.152000, batch loss=0.268538, epoch loss=2.692616 Batch=839, step=11640, lr=0.151750, batch loss=0.250539, epoch loss=2.943155 Batch=899, step=11700, lr=0.151250, batch loss=0.215894, epoch loss=3.159049 Batch=959, step=11760, lr=0.151250, batch loss=0.162097, epoch loss=3.321146 Batch=1019, step=11820, lr=0.151000, batch loss=0.259274, epoch loss=3.580420 Batch=1079, step=11880, lr=0.150750, batch loss=0.148171, epoch loss=3.728591 Batch=1139, step=11940, lr=0.150500, batch loss=0.187904, epoch loss=3.916495 Batch=1199, step=12000, lr=0.150250, batch loss=0.138984, epoch loss=4.055480 Epoch=9, step=12000, lr=0.150250, epoch loss=4.055480 Batch=59, step=12060, lr=0.150000, batch loss=0.158406, epoch loss=0.158406 Batch=119, step=12120, lr=0.149750, batch loss=0.126674, epoch loss=0.285080 Batch=179, step=12180, lr=0.149500, batch loss=0.150896, epoch loss=0.435976 Batch=239, step=12240, lr=0.149250, batch loss=0.219170, epoch loss=0.655147 Batch=299, step=12300, lr=0.149000, batch loss=0.137481, epoch loss=0.792627 Batch=359, step=12360, lr=0.148750, batch loss=0.189596, epoch loss=0.982224 Batch=419, step=12420, lr=0.148500, batch loss=0.189043, epoch loss=1.171267 Batch=479, step=12480, lr=0.148250, batch loss=0.174048, epoch loss=1.345316 Batch=539, step=12540, lr=0.147750, batch loss=0.143819, epoch loss=1.489135 Batch=599, step=12600, lr=0.147750, batch loss=0.153258, epoch loss=1.642393 Batch=659, step=12660, lr=0.147500, batch loss=0.233885, epoch loss=1.876278 Batch=719, step=12720, lr=0.147250, batch loss=0.234302, epoch loss=2.110581 Batch=779, step=12780, lr=0.147000, batch loss=0.262115, epoch loss=2.372696 Batch=839, step=12840, lr=0.146750, batch loss=0.230232, epoch loss=2.602928 Batch=899, step=12900, lr=0.146500, batch loss=0.199611, epoch loss=2.802538 Batch=959, step=12960, lr=0.146250, batch loss=0.152902, epoch loss=2.955440 Batch=1019, step=13020, lr=0.146000, batch loss=0.263086, epoch loss=3.218526 Batch=1079, step=13080, lr=0.145750, batch loss=0.115358, epoch loss=3.333884 Batch=1139, step=13140, lr=0.145500, batch loss=0.151236, epoch loss=3.485121 Batch=1199, step=13200, lr=0.145250, batch loss=0.116396, epoch loss=3.601517 Epoch=10, step=13200, lr=0.145250, epoch loss=3.601517 Batch=59, step=13260, lr=0.144750, batch loss=0.136768, epoch loss=0.136768 Batch=119, step=13320, lr=0.144750, batch loss=0.118222, epoch loss=0.254990 Batch=179, step=13380, lr=0.144250, batch loss=0.125920, epoch loss=0.380910 Batch=239, step=13440, lr=0.144000, batch loss=0.182101, epoch loss=0.563010 Batch=299, step=13500, lr=0.144000, batch loss=0.118588, epoch loss=0.681598 Batch=359, step=13560, lr=0.143750, batch loss=0.161287, epoch loss=0.842885 Batch=419, step=13620, lr=0.143500, batch loss=0.159234, epoch loss=1.002118 Batch=479, step=13680, lr=0.143000, batch loss=0.148160, epoch loss=1.150279 Batch=539, step=13740, lr=0.143000, batch loss=0.117655, epoch loss=1.267933 Batch=599, step=13800, lr=0.142750, batch loss=0.120180, epoch loss=1.388113 Batch=659, step=13860, lr=0.142500, batch loss=0.178619, epoch loss=1.566732 Batch=719, step=13920, lr=0.142250, batch loss=0.195519, epoch loss=1.762252 Batch=779, step=13980, lr=0.142000, batch loss=0.232225, epoch loss=1.994477 Batch=839, step=14040, lr=0.141750, batch loss=0.197114, epoch loss=2.191591 Batch=899, step=14100, lr=0.141500, batch loss=0.207695, epoch loss=2.399286 Batch=959, step=14160, lr=0.141250, batch loss=0.106134, epoch loss=2.505421 Batch=1019, step=14220, lr=0.141000, batch loss=0.192135, epoch loss=2.697555 Batch=1079, step=14280, lr=0.140750, batch loss=0.076367, epoch loss=2.773922 Batch=1139, step=14340, lr=0.140500, batch loss=0.114626, epoch loss=2.888548 Batch=1199, step=14400, lr=0.140250, batch loss=0.084240, epoch loss=2.972788 Epoch=11, step=14400, lr=0.140250, epoch loss=2.972788 Batch=59, step=14460, lr=0.140000, batch loss=0.109005, epoch loss=0.109005 Batch=119, step=14520, lr=0.139750, batch loss=0.111797, epoch loss=0.220802 Batch=179, step=14580, lr=0.139500, batch loss=0.102408, epoch loss=0.323210 Batch=239, step=14640, lr=0.139250, batch loss=0.139956, epoch loss=0.463166 Batch=299, step=14700, lr=0.139000, batch loss=0.076667, epoch loss=0.539833 Batch=359, step=14760, lr=0.138750, batch loss=0.118568, epoch loss=0.658401 Batch=419, step=14820, lr=0.138500, batch loss=0.131487, epoch loss=0.789888 Batch=479, step=14880, lr=0.138250, batch loss=0.098615, epoch loss=0.888503 Batch=539, step=14940, lr=0.138000, batch loss=0.097421, epoch loss=0.985924 Batch=599, step=15000, lr=0.137750, batch loss=0.082983, epoch loss=1.068907 Batch=659, step=15060, lr=0.137500, batch loss=0.134718, epoch loss=1.203625 Batch=719, step=15120, lr=0.137250, batch loss=0.169940, epoch loss=1.373565 Batch=779, step=15180, lr=0.137000, batch loss=0.330428, epoch loss=1.703993 Batch=839, step=15240, lr=0.136750, batch loss=0.133496, epoch loss=1.837489 Batch=899, step=15300, lr=0.136500, batch loss=0.109446, epoch loss=1.946935 Batch=959, step=15360, lr=0.136250, batch loss=0.101856, epoch loss=2.048791 Batch=1019, step=15420, lr=0.136000, batch loss=0.170348, epoch loss=2.219139 Batch=1079, step=15480, lr=0.135750, batch loss=0.042422, epoch loss=2.261561 Batch=1139, step=15540, lr=0.135500, batch loss=0.092538, epoch loss=2.354099 Batch=1199, step=15600, lr=0.135250, batch loss=0.057828, epoch loss=2.411928 Epoch=12, step=15600, lr=0.135250, epoch loss=2.411928 Batch=59, step=15660, lr=0.135000, batch loss=0.079403, epoch loss=0.079403 Batch=119, step=15720, lr=0.134750, batch loss=0.118663, epoch loss=0.198067 Batch=179, step=15780, lr=0.134500, batch loss=0.092635, epoch loss=0.290702 Batch=239, step=15840, lr=0.134250, batch loss=0.094933, epoch loss=0.385635 Batch=299, step=15900, lr=0.134000, batch loss=0.039161, epoch loss=0.424796 Batch=359, step=15960, lr=0.133500, batch loss=0.084345, epoch loss=0.509140 Batch=419, step=16020, lr=0.133500, batch loss=0.077377, epoch loss=0.586517 Batch=479, step=16080, lr=0.133250, batch loss=0.053596, epoch loss=0.640113 Batch=539, step=16140, lr=0.133000, batch loss=0.074509, epoch loss=0.714622 Batch=599, step=16200, lr=0.132500, batch loss=0.175946, epoch loss=0.890568 Batch=659, step=16260, lr=0.132250, batch loss=0.098807, epoch loss=0.989375 Batch=719, step=16320, lr=0.132250, batch loss=0.118752, epoch loss=1.108127 Batch=779, step=16380, lr=0.132000, batch loss=0.262350, epoch loss=1.370477 Batch=839, step=16440, lr=0.131750, batch loss=0.089263, epoch loss=1.459740 Batch=899, step=16500, lr=0.131250, batch loss=0.074194, epoch loss=1.533934 Batch=959, step=16560, lr=0.131250, batch loss=0.035226, epoch loss=1.569160 Batch=1019, step=16620, lr=0.130750, batch loss=0.082857, epoch loss=1.652017 Batch=1079, step=16680, lr=0.130500, batch loss=0.036325, epoch loss=1.688342 Batch=1139, step=16740, lr=0.130250, batch loss=0.079925, epoch loss=1.768267 Batch=1199, step=16800, lr=0.130250, batch loss=0.036723, epoch loss=1.804991 Epoch=13, step=16800, lr=0.130250, epoch loss=1.804991 Batch=59, step=16860, lr=0.129750, batch loss=0.035067, epoch loss=0.035067 Batch=119, step=16920, lr=0.129500, batch loss=0.034232, epoch loss=0.069299 Batch=179, step=16980, lr=0.129500, batch loss=0.042812, epoch loss=0.112111 Batch=239, step=17040, lr=0.129250, batch loss=0.055485, epoch loss=0.167596 Batch=299, step=17100, lr=0.129000, batch loss=0.019027, epoch loss=0.186623 Batch=359, step=17160, lr=0.128750, batch loss=0.044049, epoch loss=0.230672 Batch=419, step=17220, lr=0.128500, batch loss=0.045601, epoch loss=0.276273 Batch=479, step=17280, lr=0.128250, batch loss=0.021537, epoch loss=0.297810 Batch=539, step=17340, lr=0.128000, batch loss=0.028028, epoch loss=0.325838 Batch=599, step=17400, lr=0.127500, batch loss=0.035810, epoch loss=0.361648 Batch=659, step=17460, lr=0.127250, batch loss=0.047280, epoch loss=0.408928 Batch=719, step=17520, lr=0.127250, batch loss=0.062715, epoch loss=0.471643 Batch=779, step=17580, lr=0.126750, batch loss=0.065483, epoch loss=0.537127 Batch=839, step=17640, lr=0.126750, batch loss=0.101633, epoch loss=0.638760 Batch=899, step=17700, lr=0.126250, batch loss=0.050482, epoch loss=0.689243 Batch=959, step=17760, lr=0.126250, batch loss=0.016571, epoch loss=0.705814 Batch=1019, step=17820, lr=0.126000, batch loss=0.042359, epoch loss=0.748173 Batch=1079, step=17880, lr=0.125500, batch loss=0.048433, epoch loss=0.796606 Batch=1139, step=17940, lr=0.125250, batch loss=0.101681, epoch loss=0.898287 Batch=1199, step=18000, lr=0.125000, batch loss=0.023325, epoch loss=0.921613 Epoch=14, step=18000, lr=0.125000, epoch loss=0.921613 Batch=59, step=18060, lr=0.124750, batch loss=0.018140, epoch loss=0.018140 Batch=119, step=18120, lr=0.124500, batch loss=0.020852, epoch loss=0.038993 Batch=179, step=18180, lr=0.124250, batch loss=0.030436, epoch loss=0.069429 Batch=239, step=18240, lr=0.124250, batch loss=0.039244, epoch loss=0.108673 Batch=299, step=18300, lr=0.124000, batch loss=0.008720, epoch loss=0.117393 Batch=359, step=18360, lr=0.123750, batch loss=0.025677, epoch loss=0.143070 Batch=419, step=18420, lr=0.123500, batch loss=0.029743, epoch loss=0.172813 Batch=479, step=18480, lr=0.123250, batch loss=0.020262, epoch loss=0.193074 Batch=539, step=18540, lr=0.122750, batch loss=0.040696, epoch loss=0.233770 Batch=599, step=18600, lr=0.122500, batch loss=0.027298, epoch loss=0.261069 Batch=659, step=18660, lr=0.122250, batch loss=0.031690, epoch loss=0.292759 Batch=719, step=18720, lr=0.122250, batch loss=0.039719, epoch loss=0.332478 Batch=779, step=18780, lr=0.122000, batch loss=0.106121, epoch loss=0.438599 Batch=839, step=18840, lr=0.121500, batch loss=0.049698, epoch loss=0.488296 Batch=899, step=18900, lr=0.121500, batch loss=0.049720, epoch loss=0.538016 Batch=959, step=18960, lr=0.121000, batch loss=0.013406, epoch loss=0.551422 Batch=1019, step=19020, lr=0.121000, batch loss=0.025393, epoch loss=0.576815 Batch=1079, step=19080, lr=0.120750, batch loss=0.014977, epoch loss=0.591792 Batch=1139, step=19140, lr=0.120250, batch loss=0.030173, epoch loss=0.621965 Batch=1199, step=19200, lr=0.120250, batch loss=0.011352, epoch loss=0.633317 Epoch=15, step=19200, lr=0.120250, epoch loss=0.633317 Batch=59, step=19260, lr=0.120000, batch loss=0.009493, epoch loss=0.009493 Batch=119, step=19320, lr=0.119500, batch loss=0.029692, epoch loss=0.039185 Batch=179, step=19380, lr=0.119250, batch loss=0.084163, epoch loss=0.123348 Batch=239, step=19440, lr=0.119250, batch loss=0.033769, epoch loss=0.157117 Batch=299, step=19500, lr=0.119000, batch loss=0.009002, epoch loss=0.166119 Batch=359, step=19560, lr=0.118750, batch loss=0.025690, epoch loss=0.191809 Batch=419, step=19620, lr=0.118500, batch loss=0.021311, epoch loss=0.213120 Batch=479, step=19680, lr=0.118250, batch loss=0.007577, epoch loss=0.220697 Batch=539, step=19740, lr=0.118000, batch loss=0.018447, epoch loss=0.239145 Batch=599, step=19800, lr=0.117750, batch loss=0.021862, epoch loss=0.261007 Batch=659, step=19860, lr=0.117250, batch loss=0.018093, epoch loss=0.279100 Batch=719, step=19920, lr=0.117250, batch loss=0.036942, epoch loss=0.316042 Batch=779, step=19980, lr=0.116750, batch loss=0.084750, epoch loss=0.400792 Batch=839, step=20040, lr=0.116750, batch loss=0.031380, epoch loss=0.432172 Batch=899, step=20100, lr=0.116250, batch loss=0.033573, epoch loss=0.465745 Batch=959, step=20160, lr=0.116250, batch loss=0.011026, epoch loss=0.476771 Batch=1019, step=20220, lr=0.116000, batch loss=0.014633, epoch loss=0.491403 Batch=1079, step=20280, lr=0.115500, batch loss=0.002377, epoch loss=0.493780 Batch=1139, step=20340, lr=0.115250, batch loss=0.014861, epoch loss=0.508642 Batch=1199, step=20400, lr=0.115000, batch loss=0.007013, epoch loss=0.515655 Epoch=16, step=20400, lr=0.115000, epoch loss=0.515655 Batch=59, step=20460, lr=0.114750, batch loss=0.003041, epoch loss=0.003041 Batch=119, step=20520, lr=0.114750, batch loss=0.008747, epoch loss=0.011788 Batch=179, step=20580, lr=0.114500, batch loss=0.019981, epoch loss=0.031769 Batch=239, step=20640, lr=0.114250, batch loss=0.020189, epoch loss=0.051958 Batch=299, step=20700, lr=0.114000, batch loss=0.009756, epoch loss=0.061714 Batch=359, step=20760, lr=0.113500, batch loss=0.014772, epoch loss=0.076486 Batch=419, step=20820, lr=0.113500, batch loss=0.015537, epoch loss=0.092023 Batch=479, step=20880, lr=0.113250, batch loss=0.003211, epoch loss=0.095234 Batch=539, step=20940, lr=0.113000, batch loss=0.016483, epoch loss=0.111717 Batch=599, step=21000, lr=0.112750, batch loss=0.018003, epoch loss=0.129720 Batch=659, step=21060, lr=0.112500, batch loss=0.014421, epoch loss=0.144141 Batch=719, step=21120, lr=0.112250, batch loss=0.042772, epoch loss=0.186913 Batch=779, step=21180, lr=0.112000, batch loss=0.073740, epoch loss=0.260653 Batch=839, step=21240, lr=0.111500, batch loss=0.026121, epoch loss=0.286774 Batch=899, step=21300, lr=0.111250, batch loss=0.035177, epoch loss=0.321952 Batch=959, step=21360, lr=0.111000, batch loss=0.009538, epoch loss=0.331490 Batch=1019, step=21420, lr=0.110750, batch loss=0.011509, epoch loss=0.342999 Batch=1079, step=21480, lr=0.110500, batch loss=0.000726, epoch loss=0.343725 Batch=1139, step=21540, lr=0.110500, batch loss=0.011753, epoch loss=0.355478 Batch=1199, step=21600, lr=0.110250, batch loss=0.005026, epoch loss=0.360505 Epoch=17, step=21600, lr=0.110250, epoch loss=0.360505 Batch=59, step=21660, lr=0.110000, batch loss=0.001891, epoch loss=0.001891 Batch=119, step=21720, lr=0.109750, batch loss=0.006581, epoch loss=0.008472 Batch=179, step=21780, lr=0.109500, batch loss=0.013576, epoch loss=0.022048 Batch=239, step=21840, lr=0.109000, batch loss=0.014999, epoch loss=0.037047 Batch=299, step=21900, lr=0.108750, batch loss=0.003466, epoch loss=0.040513 Batch=359, step=21960, lr=0.108500, batch loss=0.010450, epoch loss=0.050962 Batch=419, step=22020, lr=0.108500, batch loss=0.011002, epoch loss=0.061964 Batch=479, step=22080, lr=0.108250, batch loss=0.002591, epoch loss=0.064556 Batch=539, step=22140, lr=0.107750, batch loss=0.017928, epoch loss=0.082483 Batch=599, step=22200, lr=0.107750, batch loss=0.016777, epoch loss=0.099260 Batch=659, step=22260, lr=0.107250, batch loss=0.014907, epoch loss=0.114167 Batch=719, step=22320, lr=0.107000, batch loss=0.026456, epoch loss=0.140623 Batch=779, step=22380, lr=0.106750, batch loss=0.034710, epoch loss=0.175333 Batch=839, step=22440, lr=0.106500, batch loss=0.025909, epoch loss=0.201242 Batch=899, step=22500, lr=0.106500, batch loss=0.026458, epoch loss=0.227700 Batch=959, step=22560, lr=0.106250, batch loss=0.009024, epoch loss=0.236724 Batch=1019, step=22620, lr=0.106000, batch loss=0.008737, epoch loss=0.245462 Batch=1079, step=22680, lr=0.105500, batch loss=0.000866, epoch loss=0.246328 Batch=1139, step=22740, lr=0.105250, batch loss=0.010282, epoch loss=0.256609 Batch=1199, step=22800, lr=0.105000, batch loss=0.004723, epoch loss=0.261332 Epoch=18, step=22800, lr=0.105000, epoch loss=0.261332 Batch=59, step=22860, lr=0.104750, batch loss=0.001710, epoch loss=0.001710 Batch=119, step=22920, lr=0.104750, batch loss=0.005532, epoch loss=0.007242 Batch=179, step=22980, lr=0.104500, batch loss=0.010182, epoch loss=0.017424 Batch=239, step=23040, lr=0.104250, batch loss=0.008809, epoch loss=0.026233 Batch=299, step=23100, lr=0.103750, batch loss=0.007148, epoch loss=0.033382 Batch=359, step=23160, lr=0.103500, batch loss=0.011797, epoch loss=0.045178 Batch=419, step=23220, lr=0.103500, batch loss=0.010578, epoch loss=0.055757 Batch=479, step=23280, lr=0.103250, batch loss=0.002585, epoch loss=0.058342 Batch=539, step=23340, lr=0.103000, batch loss=0.017535, epoch loss=0.075877 Batch=599, step=23400, lr=0.102500, batch loss=0.013764, epoch loss=0.089641 Batch=659, step=23460, lr=0.102500, batch loss=0.010224, epoch loss=0.099865 Batch=719, step=23520, lr=0.102250, batch loss=0.014257, epoch loss=0.114123 Batch=779, step=23580, lr=0.102000, batch loss=0.021915, epoch loss=0.136038 Batch=839, step=23640, lr=0.101750, batch loss=0.027537, epoch loss=0.163575 Batch=899, step=23700, lr=0.101500, batch loss=0.021542, epoch loss=0.185116 Batch=959, step=23760, lr=0.101250, batch loss=0.010188, epoch loss=0.195304 Batch=1019, step=23820, lr=0.101000, batch loss=0.008168, epoch loss=0.203472 Batch=1079, step=23880, lr=0.100750, batch loss=0.000770, epoch loss=0.204243 Batch=1139, step=23940, lr=0.100500, batch loss=0.009448, epoch loss=0.213691 Batch=1199, step=24000, lr=0.100250, batch loss=0.004577, epoch loss=0.218268 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218268 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************...******************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-10 12:35.43 ---> saved as "88aa62fb8fa9b2bc50057d8b5d5242fa1c1745614cf1aeaf0e9e34f3f0288c1c" Job succeeded 2025-05-10 12:35.44: Job succeeded