2025-04-10 12:28.21: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (a65dd8955db6894ca41a3c2080e5dda2dd1bf41f) (linux-x86_64:opensuse-15.6-5.3_opam-2.3) Base: ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:26af78fbe7bbe4cf17f3f1979a6a4856a973aa32caecd551ef59d3eb82fe165c Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard a65dd895 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:26af78fbe7bbe4cf17f3f1979a6a4856a973aa32caecd551ef59d3eb82fe165c # 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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 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.3.18.0 dune-configurator.3.18.0 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 2025-04-10 12:28.21: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:26af78fbe7bbe4cf17f3f1979a6a4856a973aa32caecd551ef59d3eb82fe165c-opensuse-15.6-5.3_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04" 2025-04-10 12:28.21: Using OBuilder spec: ((from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:26af78fbe7bbe4cf17f3f1979a6a4856a973aa32caecd551ef59d3eb82fe165c) (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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 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.3.18.0 dune-configurator.3.18.0 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")) ) 2025-04-10 12:28.21: Waiting for resource in pool OCluster 2025-04-10 14:23.00: Waiting for worker… 2025-04-10 14:29.12: Got resource from pool OCluster Building on toxis.caelum.ci.dev HEAD is now at 463c5703 Fix ppx_minidebug version, update cudajit version HEAD is now at a65dd895 Tiny formatting (from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:26af78fbe7bbe4cf17f3f1979a6a4856a973aa32caecd551ef59d3eb82fe165c) 2025-04-10 14:29.56 ---> saved as "13a3c35168068fbd9e1f5b24d6fcd373b69aec65e17733e67aa0463be3baf0ae" /: (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")) 2025-04-10 14:29.56 ---> saved as "f0d6cc591017175257f232d095caf21dd99995c1c8db0922ad1ca1d9273006bd" /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 2025-04-10 14:30.48 ---> saved as "3614e61d52699d7595880ffde17e2e6826660b8604c9fdeae4f7ca0992760220" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-04-10 14:30.48 ---> saved as "2381118d33bcb149ba504e45bb760d425f476cd88fd90f73a14a62578daf7ec1" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-04-10 14:30.49 ---> saved as "84e4c4b0a97fd8474e1bb83a50616cc1d988638f22c64c12494467177896409e" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD da74d7829f..4592800a5b master -> origin/master 598efb46ec Merge pull request #27716 from avsm/fix-mpopcnt <><> 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) 2025-04-10 14:31.41 ---> saved as "efba870b755568a503deae9c6b96e2151d7e4880ccd00a72ee30a9e7fbe9ca49" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-04-10 14:31.41 ---> saved as "fe18e5d4bc8713844355311a7f1edeaa86a28b6650231312f5966e706edef7b6" /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) 2025-04-10 14:32.01 ---> saved as "923637f6f9c0894a9e461e308c11128d5b8eba54b5d68f3d7a427da5d8cdfc07" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-04-10 14:32.02 ---> saved as "71cefb0d50a385066e6a7fcdc411231df102ae6777cbe548362f2afbba291cc5" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 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.3.18.0 dune-configurator.3.18.0 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 (5.2 KiB/s)] - - Checking for file conflicts: [. - . - .done] - (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [...done] 2025-04-10 14:33.32 ---> saved as "8171f943f27397bfd486329274ed81a8967be1d726de7207d9f1ef849c9b1862" /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 v0.17.1 - 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 3.18.0 - install dune-configurator 3.18.0 - 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 backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> installed conf-pkg-config.4 -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved csexp.1.5.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved dune.3.18.0, dune-configurator.3.18.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved sexplib.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> installed seq.base -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed result.1.5 -> 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.3.18.0 -> installed mdx.2.5.0 -> installed bigstringaf.0.10.0 -> 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.v0.17.1 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.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) 2025-04-10 14:35.12 ---> saved as "997d397702bde17f6ac172318bbc261dee87ee81d7be7fe354e923b34f192ba8" /src: (copy (src .) (dst /src)) 2025-04-10 14:35.12 ---> saved as "1dae913a9875f0324a75cec578e9cbba51a435ea2095f73d61a15b44a542260f" /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/5d8aa8731ef22ee09682130a7402c9dd/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ea62f0f8baaa560de13124f887b20dec/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199250, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.199000, batch loss=1.448342, epoch loss=37.064827 Batch=359, step=360, lr=0.198750, batch loss=1.335675, epoch loss=38.400502 Batch=419, step=420, lr=0.198500, batch loss=0.615054, epoch loss=39.015555 Batch=479, step=480, lr=0.198250, batch loss=0.811093, epoch loss=39.826648 Batch=539, step=540, lr=0.198000, batch loss=0.709001, epoch loss=40.535650 Batch=599, step=600, lr=0.197750, batch loss=1.069497, epoch loss=41.605147 Batch=659, step=660, lr=0.197500, batch loss=0.482371, epoch loss=42.087518 Batch=719, step=720, lr=0.197250, batch loss=0.411152, epoch loss=42.498670 Batch=779, step=780, lr=0.197000, batch loss=0.469318, epoch loss=42.967987 Batch=839, step=840, lr=0.196750, batch loss=0.443866, epoch loss=43.411853 Batch=899, step=900, lr=0.196500, batch loss=0.383038, epoch loss=43.794891 Batch=959, step=960, lr=0.196250, batch loss=0.241851, epoch loss=44.036742 Batch=1019, step=1020, lr=0.196000, batch loss=0.451872, epoch loss=44.488614 Batch=1079, step=1080, lr=0.195750, batch loss=0.259300, epoch loss=44.747914 Batch=1139, step=1140, lr=0.195500, batch loss=0.339337, epoch loss=45.087252 Batch=1199, step=1200, lr=0.195250, batch loss=0.261345, epoch loss=45.348596 Epoch=0, step=1200, lr=0.195250, epoch loss=45.348596 Batch=59, step=1260, lr=0.195000, batch loss=0.260647, epoch loss=0.260647 Batch=119, step=1320, lr=0.194750, batch loss=0.202927, epoch loss=0.463574 Batch=179, step=1380, lr=0.194500, batch loss=0.244098, epoch loss=0.707672 Batch=239, step=1440, lr=0.194250, batch loss=0.348212, epoch loss=1.055884 Batch=299, step=1500, lr=0.194000, batch loss=0.239127, epoch loss=1.295010 Batch=359, step=1560, lr=0.193750, batch loss=0.318879, epoch loss=1.613890 Batch=419, step=1620, lr=0.193500, batch loss=0.311578, epoch loss=1.925467 Batch=479, step=1680, lr=0.193250, batch loss=0.276006, epoch loss=2.201474 Batch=539, step=1740, lr=0.193000, batch loss=0.211755, epoch loss=2.413229 Batch=599, step=1800, lr=0.192750, batch loss=0.259422, epoch loss=2.672651 Batch=659, step=1860, lr=0.192500, batch loss=0.368330, epoch loss=3.040981 Batch=719, step=1920, lr=0.192250, batch loss=0.365700, epoch loss=3.406681 Batch=779, step=1980, lr=0.192000, batch loss=0.381135, epoch loss=3.787816 Batch=839, step=2040, lr=0.191750, batch loss=0.340804, epoch loss=4.128620 Batch=899, step=2100, lr=0.191500, batch loss=0.295385, epoch loss=4.424005 Batch=959, step=2160, lr=0.191250, batch loss=0.216244, epoch loss=4.640249 Batch=1019, step=2220, lr=0.191000, batch loss=0.326969, epoch loss=4.967218 Batch=1079, step=2280, lr=0.190750, batch loss=0.193955, epoch loss=5.161173 Batch=1139, step=2340, lr=0.190500, batch loss=0.255686, epoch loss=5.416859 Batch=1199, step=2400, lr=0.190250, batch loss=0.210628, epoch loss=5.627487 Epoch=1, step=2400, lr=0.190250, epoch loss=5.627487 Batch=59, step=2460, lr=0.190000, batch loss=0.229884, epoch loss=0.229884 Batch=119, step=2520, lr=0.189750, batch loss=0.197721, epoch loss=0.427605 Batch=179, step=2580, lr=0.189500, batch loss=0.219336, epoch loss=0.646941 Batch=239, step=2640, lr=0.189250, batch loss=0.326825, epoch loss=0.973766 Batch=299, step=2700, lr=0.189000, batch loss=0.206307, epoch loss=1.180073 Batch=359, step=2760, lr=0.188750, batch loss=0.290837, epoch loss=1.470910 Batch=419, step=2820, lr=0.188500, batch loss=0.280316, epoch loss=1.751225 Batch=479, step=2880, lr=0.188250, batch loss=0.254706, epoch loss=2.005931 Batch=539, step=2940, lr=0.188000, batch loss=0.195900, epoch loss=2.201831 Batch=599, step=3000, lr=0.187750, batch loss=0.241166, epoch loss=2.442997 Batch=659, step=3060, lr=0.187500, batch loss=0.346202, epoch loss=2.789199 Batch=719, step=3120, lr=0.187000, batch loss=0.346786, epoch loss=3.135985 Batch=779, step=3180, lr=0.187000, batch loss=0.364790, epoch loss=3.500776 Batch=839, step=3240, lr=0.186500, batch loss=0.323074, epoch loss=3.823849 Batch=899, step=3300, lr=0.186250, batch loss=0.289934, epoch loss=4.113783 Batch=959, step=3360, lr=0.186000, batch loss=0.222169, epoch loss=4.335952 Batch=1019, step=3420, lr=0.186000, batch loss=0.348638, epoch loss=4.684590 Batch=1079, step=3480, lr=0.185750, batch loss=0.222274, epoch loss=4.906864 Batch=1139, step=3540, lr=0.185250, batch loss=0.268156, epoch loss=5.175020 Batch=1199, step=3600, lr=0.185000, batch loss=0.201106, epoch loss=5.376126 Epoch=2, step=3600, lr=0.185000, epoch loss=5.376126 Batch=59, step=3660, lr=0.184750, batch loss=0.224757, epoch loss=0.224757 Batch=119, step=3720, lr=0.184500, batch loss=0.183387, epoch loss=0.408143 Batch=179, step=3780, lr=0.184250, batch loss=0.212801, epoch loss=0.620944 Batch=239, step=3840, lr=0.184000, batch loss=0.321354, epoch loss=0.942298 Batch=299, step=3900, lr=0.183750, batch loss=0.212066, epoch loss=1.154364 Batch=359, step=3960, lr=0.183500, batch loss=0.293957, epoch loss=1.448321 Batch=419, step=4020, lr=0.183500, batch loss=0.300592, epoch loss=1.748914 Batch=479, step=4080, lr=0.183250, batch loss=0.258727, epoch loss=2.007641 Batch=539, step=4140, lr=0.182750, batch loss=0.195564, epoch loss=2.203204 Batch=599, step=4200, lr=0.182500, batch loss=0.229102, epoch loss=2.432307 Batch=659, step=4260, lr=0.182500, batch loss=0.331268, epoch loss=2.763575 Batch=719, step=4320, lr=0.182250, batch loss=0.346116, epoch loss=3.109690 Batch=779, step=4380, lr=0.182000, batch loss=0.347408, epoch loss=3.457098 Batch=839, step=4440, lr=0.181750, batch loss=0.317708, epoch loss=3.774806 Batch=899, step=4500, lr=0.181250, batch loss=0.286168, epoch loss=4.060975 Batch=959, step=4560, lr=0.181250, batch loss=0.238645, epoch loss=4.299619 Batch=1019, step=4620, lr=0.181000, batch loss=0.330803, epoch loss=4.630423 Batch=1079, step=4680, lr=0.180750, batch loss=0.197140, epoch loss=4.827563 Batch=1139, step=4740, lr=0.180250, batch loss=0.227965, epoch loss=5.055528 Batch=1199, step=4800, lr=0.180250, batch loss=0.193200, epoch loss=5.248728 Epoch=3, step=4800, lr=0.180250, epoch loss=5.248728 Batch=59, step=4860, lr=0.180000, batch loss=0.235435, epoch loss=0.235435 Batch=119, step=4920, lr=0.179750, batch loss=0.194056, epoch loss=0.429491 Batch=179, step=4980, lr=0.179500, batch loss=0.206269, epoch loss=0.635760 Batch=239, step=5040, lr=0.179250, batch loss=0.307651, epoch loss=0.943410 Batch=299, step=5100, lr=0.179000, batch loss=0.207160, epoch loss=1.150571 Batch=359, step=5160, lr=0.178750, batch loss=0.274934, epoch loss=1.425504 Batch=419, step=5220, lr=0.178500, batch loss=0.269131, epoch loss=1.694635 Batch=479, step=5280, lr=0.178250, batch loss=0.246721, epoch loss=1.941356 Batch=539, step=5340, lr=0.178000, batch loss=0.193341, epoch loss=2.134697 Batch=599, step=5400, lr=0.177750, batch loss=0.228712, epoch loss=2.363410 Batch=659, step=5460, lr=0.177500, batch loss=0.326489, epoch loss=2.689899 Batch=719, step=5520, lr=0.177250, batch loss=0.332992, epoch loss=3.022891 Batch=779, step=5580, lr=0.177000, batch loss=0.343712, epoch loss=3.366603 Batch=839, step=5640, lr=0.176750, batch loss=0.309173, epoch loss=3.675776 Batch=899, step=5700, lr=0.176500, batch loss=0.272066, epoch loss=3.947841 Batch=959, step=5760, lr=0.176250, batch loss=0.216081, epoch loss=4.163922 Batch=1019, step=5820, lr=0.176000, batch loss=0.333292, epoch loss=4.497215 Batch=1079, step=5880, lr=0.175750, batch loss=0.188386, epoch loss=4.685601 Batch=1139, step=5940, lr=0.175500, batch loss=0.221952, epoch loss=4.907552 Batch=1199, step=6000, lr=0.175250, batch loss=0.187436, epoch loss=5.094988 Epoch=4, step=6000, lr=0.175250, epoch loss=5.094988 Batch=59, step=6060, lr=0.175000, batch loss=0.230851, epoch loss=0.230851 Batch=119, step=6120, lr=0.174750, batch loss=0.194893, epoch loss=0.425745 Batch=179, step=6180, lr=0.174500, batch loss=0.201090, epoch loss=0.626834 Batch=239, step=6240, lr=0.174250, batch loss=0.302662, epoch loss=0.929496 Batch=299, step=6300, lr=0.174000, batch loss=0.210607, epoch loss=1.140103 Batch=359, step=6360, lr=0.173750, batch loss=0.271627, epoch loss=1.411730 Batch=419, step=6420, lr=0.173500, batch loss=0.264260, epoch loss=1.675990 Batch=479, step=6480, lr=0.173250, batch loss=0.245979, epoch loss=1.921969 Batch=539, step=6540, lr=0.173000, batch loss=0.191199, epoch loss=2.113168 Batch=599, step=6600, lr=0.172750, batch loss=0.231879, epoch loss=2.345047 Batch=659, step=6660, lr=0.172500, batch loss=0.314748, epoch loss=2.659795 Batch=719, step=6720, lr=0.172250, batch loss=0.316970, epoch loss=2.976765 Batch=779, step=6780, lr=0.172000, batch loss=0.331607, epoch loss=3.308372 Batch=839, step=6840, lr=0.171750, batch loss=0.305042, epoch loss=3.613414 Batch=899, step=6900, lr=0.171500, batch loss=0.267146, epoch loss=3.880561 Batch=959, step=6960, lr=0.171250, batch loss=0.214591, epoch loss=4.095151 Batch=1019, step=7020, lr=0.171000, batch loss=0.320752, epoch loss=4.415903 Batch=1079, step=7080, lr=0.170750, batch loss=0.179048, epoch loss=4.594951 Batch=1139, step=7140, lr=0.170500, batch loss=0.214230, epoch loss=4.809181 Batch=1199, step=7200, lr=0.170250, batch loss=0.183832, epoch loss=4.993013 Epoch=5, step=7200, lr=0.170250, epoch loss=4.993013 Batch=59, step=7260, lr=0.170000, batch loss=0.239200, epoch loss=0.239200 Batch=119, step=7320, lr=0.169750, batch loss=0.180744, epoch loss=0.419943 Batch=179, step=7380, lr=0.169500, batch loss=0.195357, epoch loss=0.615300 Batch=239, step=7440, lr=0.169250, batch loss=0.291364, epoch loss=0.906664 Batch=299, step=7500, lr=0.169000, batch loss=0.208372, epoch loss=1.115036 Batch=359, step=7560, lr=0.168750, batch loss=0.263155, epoch loss=1.378192 Batch=419, step=7620, lr=0.168500, batch loss=0.253987, epoch loss=1.632179 Batch=479, step=7680, lr=0.168250, batch loss=0.234017, epoch loss=1.866195 Batch=539, step=7740, lr=0.168000, batch loss=0.192272, epoch loss=2.058467 Batch=599, step=7800, lr=0.167750, batch loss=0.227718, epoch loss=2.286185 Batch=659, step=7860, lr=0.167250, batch loss=0.306025, epoch loss=2.592210 Batch=719, step=7920, lr=0.167000, batch loss=0.309637, epoch loss=2.901847 Batch=779, step=7980, lr=0.167000, batch loss=0.329678, epoch loss=3.231525 Batch=839, step=8040, lr=0.166750, batch loss=0.291865, epoch loss=3.523389 Batch=899, step=8100, lr=0.166500, batch loss=0.263750, epoch loss=3.787140 Batch=959, step=8160, lr=0.166250, batch loss=0.204894, epoch loss=3.992034 Batch=1019, step=8220, lr=0.166000, batch loss=0.316750, epoch loss=4.308784 Batch=1079, step=8280, lr=0.165750, batch loss=0.170098, epoch loss=4.478882 Batch=1139, step=8340, lr=0.165250, batch loss=0.207549, epoch loss=4.686431 Batch=1199, step=8400, lr=0.165250, batch loss=0.180155, epoch loss=4.866586 Epoch=6, step=8400, lr=0.165250, epoch loss=4.866586 Batch=59, step=8460, lr=0.165000, batch loss=0.227601, epoch loss=0.227601 Batch=119, step=8520, lr=0.164750, batch loss=0.176295, epoch loss=0.403897 Batch=179, step=8580, lr=0.164500, batch loss=0.188224, epoch loss=0.592121 Batch=239, step=8640, lr=0.164000, batch loss=0.281801, epoch loss=0.873922 Batch=299, step=8700, lr=0.163750, batch loss=0.195534, epoch loss=1.069456 Batch=359, step=8760, lr=0.163750, batch loss=0.254017, epoch loss=1.323473 Batch=419, step=8820, lr=0.163500, batch loss=0.246954, epoch loss=1.570427 Batch=479, step=8880, lr=0.163000, batch loss=0.228841, epoch loss=1.799268 Batch=539, step=8940, lr=0.163000, batch loss=0.179768, epoch loss=1.979036 Batch=599, step=9000, lr=0.162750, batch loss=0.217917, epoch loss=2.196952 Batch=659, step=9060, lr=0.162500, batch loss=0.293580, epoch loss=2.490533 Batch=719, step=9120, lr=0.162000, batch loss=0.295809, epoch loss=2.786341 Batch=779, step=9180, lr=0.161750, batch loss=0.314714, epoch loss=3.101055 Batch=839, step=9240, lr=0.161500, batch loss=0.285966, epoch loss=3.387022 Batch=899, step=9300, lr=0.161500, batch loss=0.252877, epoch loss=3.639899 Batch=959, step=9360, lr=0.161250, batch loss=0.187289, epoch loss=3.827188 Batch=1019, step=9420, lr=0.161000, batch loss=0.314820, epoch loss=4.142008 Batch=1079, step=9480, lr=0.160750, batch loss=0.190040, epoch loss=4.332048 Batch=1139, step=9540, lr=0.160500, batch loss=0.211451, epoch loss=4.543499 Batch=1199, step=9600, lr=0.160250, batch loss=0.167194, epoch loss=4.710693 Epoch=7, step=9600, lr=0.160250, epoch loss=4.710693 Batch=59, step=9660, lr=0.160000, batch loss=0.201191, epoch loss=0.201191 Batch=119, step=9720, lr=0.159750, batch loss=0.164730, epoch loss=0.365921 Batch=179, step=9780, lr=0.159500, batch loss=0.179137, epoch loss=0.545058 Batch=239, step=9840, lr=0.159250, batch loss=0.264449, epoch loss=0.809507 Batch=299, step=9900, lr=0.159000, batch loss=0.181584, epoch loss=0.991091 Batch=359, step=9960, lr=0.158750, batch loss=0.241845, epoch loss=1.232936 Batch=419, step=10020, lr=0.158500, batch loss=0.233452, epoch loss=1.466388 Batch=479, step=10080, lr=0.158250, batch loss=0.213580, epoch loss=1.679968 Batch=539, step=10140, lr=0.158000, batch loss=0.171878, epoch loss=1.851846 Batch=599, step=10200, lr=0.157750, batch loss=0.201553, epoch loss=2.053399 Batch=659, step=10260, lr=0.157500, batch loss=0.282387, epoch loss=2.335786 Batch=719, step=10320, lr=0.157250, batch loss=0.286810, epoch loss=2.622596 Batch=779, step=10380, lr=0.157000, batch loss=0.292705, epoch loss=2.915301 Batch=839, step=10440, lr=0.156750, batch loss=0.267871, epoch loss=3.183173 Batch=899, step=10500, lr=0.156500, batch loss=0.244554, epoch loss=3.427726 Batch=959, step=10560, lr=0.156250, batch loss=0.195014, epoch loss=3.622741 Batch=1019, step=10620, lr=0.156000, batch loss=0.281070, epoch loss=3.903811 Batch=1079, step=10680, lr=0.155750, batch loss=0.168579, epoch loss=4.072390 Batch=1139, step=10740, lr=0.155500, batch loss=0.194183, epoch loss=4.266573 Batch=1199, step=10800, lr=0.155250, batch loss=0.154695, epoch loss=4.421268 Epoch=8, step=10800, lr=0.155250, epoch loss=4.421268 Batch=59, step=10860, lr=0.155000, batch loss=0.175644, epoch loss=0.175644 Batch=119, step=10920, lr=0.154750, batch loss=0.146990, epoch loss=0.322634 Batch=179, step=10980, lr=0.154500, batch loss=0.165828, epoch loss=0.488462 Batch=239, step=11040, lr=0.154250, batch loss=0.242609, epoch loss=0.731071 Batch=299, step=11100, lr=0.154000, batch loss=0.169366, epoch loss=0.900437 Batch=359, step=11160, lr=0.153750, batch loss=0.223746, epoch loss=1.124183 Batch=419, step=11220, lr=0.153500, batch loss=0.229218, epoch loss=1.353401 Batch=479, step=11280, lr=0.153250, batch loss=0.203560, epoch loss=1.556960 Batch=539, step=11340, lr=0.153000, batch loss=0.160643, epoch loss=1.717604 Batch=599, step=11400, lr=0.152750, batch loss=0.185814, epoch loss=1.903418 Batch=659, step=11460, lr=0.152500, batch loss=0.261558, epoch loss=2.164976 Batch=719, step=11520, lr=0.152250, batch loss=0.258222, epoch loss=2.423198 Batch=779, step=11580, lr=0.152000, batch loss=0.270095, epoch loss=2.693293 Batch=839, step=11640, lr=0.151750, batch loss=0.258294, epoch loss=2.951587 Batch=899, step=11700, lr=0.151500, batch loss=0.231351, epoch loss=3.182938 Batch=959, step=11760, lr=0.151250, batch loss=0.172858, epoch loss=3.355796 Batch=1019, step=11820, lr=0.151000, batch loss=0.260031, epoch loss=3.615826 Batch=1079, step=11880, lr=0.150750, batch loss=0.137487, epoch loss=3.753313 Batch=1139, step=11940, lr=0.150500, batch loss=0.162981, epoch loss=3.916294 Batch=1199, step=12000, lr=0.150250, batch loss=0.139359, epoch loss=4.055653 Epoch=9, step=12000, lr=0.150250, epoch loss=4.055653 Batch=59, step=12060, lr=0.150000, batch loss=0.163563, epoch loss=0.163563 Batch=119, step=12120, lr=0.149750, batch loss=0.143759, epoch loss=0.307322 Batch=179, step=12180, lr=0.149500, batch loss=0.149670, epoch loss=0.456993 Batch=239, step=12240, lr=0.149250, batch loss=0.217279, epoch loss=0.674271 Batch=299, step=12300, lr=0.149000, batch loss=0.147114, epoch loss=0.821386 Batch=359, step=12360, lr=0.148750, batch loss=0.195558, epoch loss=1.016944 Batch=419, step=12420, lr=0.148500, batch loss=0.208043, epoch loss=1.224987 Batch=479, step=12480, lr=0.148250, batch loss=0.179332, epoch loss=1.404319 Batch=539, step=12540, lr=0.148000, batch loss=0.143781, epoch loss=1.548100 Batch=599, step=12600, lr=0.147750, batch loss=0.154788, epoch loss=1.702888 Batch=659, step=12660, lr=0.147500, batch loss=0.234455, epoch loss=1.937343 Batch=719, step=12720, lr=0.147250, batch loss=0.236238, epoch loss=2.173581 Batch=779, step=12780, lr=0.147000, batch loss=0.254000, epoch loss=2.427581 Batch=839, step=12840, lr=0.146750, batch loss=0.223600, epoch loss=2.651182 Batch=899, step=12900, lr=0.146500, batch loss=0.188667, epoch loss=2.839849 Batch=959, step=12960, lr=0.146250, batch loss=0.168261, epoch loss=3.008110 Batch=1019, step=13020, lr=0.145750, batch loss=0.273256, epoch loss=3.281366 Batch=1079, step=13080, lr=0.145750, batch loss=0.121958, epoch loss=3.403323 Batch=1139, step=13140, lr=0.145500, batch loss=0.162196, epoch loss=3.565520 Batch=1199, step=13200, lr=0.145250, batch loss=0.120585, epoch loss=3.686105 Epoch=10, step=13200, lr=0.145250, epoch loss=3.686105 Batch=59, step=13260, lr=0.145000, batch loss=0.139238, epoch loss=0.139238 Batch=119, step=13320, lr=0.144750, batch loss=0.116595, epoch loss=0.255833 Batch=179, step=13380, lr=0.144500, batch loss=0.128906, epoch loss=0.384738 Batch=239, step=13440, lr=0.144250, batch loss=0.188932, epoch loss=0.573670 Batch=299, step=13500, lr=0.144000, batch loss=0.116891, epoch loss=0.690561 Batch=359, step=13560, lr=0.143750, batch loss=0.160351, epoch loss=0.850912 Batch=419, step=13620, lr=0.143500, batch loss=0.162948, epoch loss=1.013860 Batch=479, step=13680, lr=0.143250, batch loss=0.147409, epoch loss=1.161270 Batch=539, step=13740, lr=0.143000, batch loss=0.120039, epoch loss=1.281308 Batch=599, step=13800, lr=0.142750, batch loss=0.121534, epoch loss=1.402842 Batch=659, step=13860, lr=0.142500, batch loss=0.177708, epoch loss=1.580550 Batch=719, step=13920, lr=0.142250, batch loss=0.172724, epoch loss=1.753274 Batch=779, step=13980, lr=0.142000, batch loss=0.181107, epoch loss=1.934381 Batch=839, step=14040, lr=0.141750, batch loss=0.202843, epoch loss=2.137224 Batch=899, step=14100, lr=0.141500, batch loss=0.216120, epoch loss=2.353344 Batch=959, step=14160, lr=0.141250, batch loss=0.107870, epoch loss=2.461214 Batch=1019, step=14220, lr=0.141000, batch loss=0.191244, epoch loss=2.652457 Batch=1079, step=14280, lr=0.140750, batch loss=0.084973, epoch loss=2.737431 Batch=1139, step=14340, lr=0.140500, batch loss=0.143721, epoch loss=2.881152 Batch=1199, step=14400, lr=0.140250, batch loss=0.089924, epoch loss=2.971076 Epoch=11, step=14400, lr=0.140250, epoch loss=2.971076 Batch=59, step=14460, lr=0.140000, batch loss=0.104867, epoch loss=0.104867 Batch=119, step=14520, lr=0.139750, batch loss=0.101581, epoch loss=0.206449 Batch=179, step=14580, lr=0.139500, batch loss=0.101465, epoch loss=0.307914 Batch=239, step=14640, lr=0.139250, batch loss=0.143581, epoch loss=0.451495 Batch=299, step=14700, lr=0.139000, batch loss=0.076612, epoch loss=0.528107 Batch=359, step=14760, lr=0.138750, batch loss=0.122844, epoch loss=0.650951 Batch=419, step=14820, lr=0.138500, batch loss=0.130469, epoch loss=0.781419 Batch=479, step=14880, lr=0.138250, batch loss=0.105468, epoch loss=0.886888 Batch=539, step=14940, lr=0.138000, batch loss=0.110859, epoch loss=0.997747 Batch=599, step=15000, lr=0.137750, batch loss=0.084806, epoch loss=1.082553 Batch=659, step=15060, lr=0.137500, batch loss=0.129351, epoch loss=1.211904 Batch=719, step=15120, lr=0.137250, batch loss=0.128594, epoch loss=1.340498 Batch=779, step=15180, lr=0.137000, batch loss=0.155386, epoch loss=1.495884 Batch=839, step=15240, lr=0.136750, batch loss=0.168828, epoch loss=1.664712 Batch=899, step=15300, lr=0.136500, batch loss=0.299607, epoch loss=1.964319 Batch=959, step=15360, lr=0.136250, batch loss=0.057320, epoch loss=2.021639 Batch=1019, step=15420, lr=0.136000, batch loss=0.142701, epoch loss=2.164340 Batch=1079, step=15480, lr=0.135750, batch loss=0.042468, epoch loss=2.206808 Batch=1139, step=15540, lr=0.135500, batch loss=0.097160, epoch loss=2.303968 Batch=1199, step=15600, lr=0.135250, batch loss=0.061968, epoch loss=2.365936 Epoch=12, step=15600, lr=0.135250, epoch loss=2.365936 Batch=59, step=15660, lr=0.135000, batch loss=0.086468, epoch loss=0.086468 Batch=119, step=15720, lr=0.134750, batch loss=0.138383, epoch loss=0.224851 Batch=179, step=15780, lr=0.134250, batch loss=0.100931, epoch loss=0.325782 Batch=239, step=15840, lr=0.134250, batch loss=0.100908, epoch loss=0.426691 Batch=299, step=15900, lr=0.134000, batch loss=0.044751, epoch loss=0.471442 Batch=359, step=15960, lr=0.133750, batch loss=0.083937, epoch loss=0.555379 Batch=419, step=16020, lr=0.133500, batch loss=0.079303, epoch loss=0.634682 Batch=479, step=16080, lr=0.133250, batch loss=0.056920, epoch loss=0.691601 Batch=539, step=16140, lr=0.132750, batch loss=0.075434, epoch loss=0.767035 Batch=599, step=16200, lr=0.132750, batch loss=0.168144, epoch loss=0.935179 Batch=659, step=16260, lr=0.132500, batch loss=0.098031, epoch loss=1.033210 Batch=719, step=16320, lr=0.132000, batch loss=0.130354, epoch loss=1.163564 Batch=779, step=16380, lr=0.132000, batch loss=0.273877, epoch loss=1.437441 Batch=839, step=16440, lr=0.131750, batch loss=0.091638, epoch loss=1.529079 Batch=899, step=16500, lr=0.131500, batch loss=0.075831, epoch loss=1.604910 Batch=959, step=16560, lr=0.131250, batch loss=0.033007, epoch loss=1.637917 Batch=1019, step=16620, lr=0.131000, batch loss=0.068988, epoch loss=1.706905 Batch=1079, step=16680, lr=0.130500, batch loss=0.048108, epoch loss=1.755012 Batch=1139, step=16740, lr=0.130250, batch loss=0.079247, epoch loss=1.834259 Batch=1199, step=16800, lr=0.130250, batch loss=0.035302, epoch loss=1.869561 Epoch=13, step=16800, lr=0.130250, epoch loss=1.869561 Batch=59, step=16860, lr=0.129750, batch loss=0.037371, epoch loss=0.037371 Batch=119, step=16920, lr=0.129750, batch loss=0.040492, epoch loss=0.077863 Batch=179, step=16980, lr=0.129250, batch loss=0.044619, epoch loss=0.122482 Batch=239, step=17040, lr=0.129000, batch loss=0.061225, epoch loss=0.183707 Batch=299, step=17100, lr=0.128750, batch loss=0.024725, epoch loss=0.208432 Batch=359, step=17160, lr=0.128750, batch loss=0.055808, epoch loss=0.264239 Batch=419, step=17220, lr=0.128250, batch loss=0.091437, epoch loss=0.355676 Batch=479, step=17280, lr=0.128000, batch loss=0.025082, epoch loss=0.380758 Batch=539, step=17340, lr=0.127750, batch loss=0.027584, epoch loss=0.408342 Batch=599, step=17400, lr=0.127500, batch loss=0.039267, epoch loss=0.447609 Batch=659, step=17460, lr=0.127500, batch loss=0.054909, epoch loss=0.502517 Batch=719, step=17520, lr=0.127000, batch loss=0.056259, epoch loss=0.558777 Batch=779, step=17580, lr=0.127000, batch loss=0.066668, epoch loss=0.625445 Batch=839, step=17640, lr=0.126750, batch loss=0.099408, epoch loss=0.724853 Batch=899, step=17700, lr=0.126500, batch loss=0.049286, epoch loss=0.774139 Batch=959, step=17760, lr=0.126250, batch loss=0.020333, epoch loss=0.794471 Batch=1019, step=17820, lr=0.125750, batch loss=0.048661, epoch loss=0.843132 Batch=1079, step=17880, lr=0.125750, batch loss=0.046389, epoch loss=0.889521 Batch=1139, step=17940, lr=0.125500, batch loss=0.082796, epoch loss=0.972317 Batch=1199, step=18000, lr=0.125250, batch loss=0.026951, epoch loss=0.999268 Epoch=14, step=18000, lr=0.125250, epoch loss=0.999268 Batch=59, step=18060, lr=0.125000, batch loss=0.018379, epoch loss=0.018379 Batch=119, step=18120, lr=0.124750, batch loss=0.021512, epoch loss=0.039891 Batch=179, step=18180, lr=0.124500, batch loss=0.042837, epoch loss=0.082729 Batch=239, step=18240, lr=0.124250, batch loss=0.040123, epoch loss=0.122852 Batch=299, step=18300, lr=0.124000, batch loss=0.019272, epoch loss=0.142124 Batch=359, step=18360, lr=0.123750, batch loss=0.025755, epoch loss=0.167879 Batch=419, step=18420, lr=0.123500, batch loss=0.033772, epoch loss=0.201651 Batch=479, step=18480, lr=0.123250, batch loss=0.024200, epoch loss=0.225850 Batch=539, step=18540, lr=0.123000, batch loss=0.047349, epoch loss=0.273200 Batch=599, step=18600, lr=0.122750, batch loss=0.026043, epoch loss=0.299242 Batch=659, step=18660, lr=0.122500, batch loss=0.035259, epoch loss=0.334501 Batch=719, step=18720, lr=0.122250, batch loss=0.034343, epoch loss=0.368844 Batch=779, step=18780, lr=0.122000, batch loss=0.082669, epoch loss=0.451513 Batch=839, step=18840, lr=0.121750, batch loss=0.050040, epoch loss=0.501553 Batch=899, step=18900, lr=0.121500, batch loss=0.050110, epoch loss=0.551662 Batch=959, step=18960, lr=0.121250, batch loss=0.014707, epoch loss=0.566369 Batch=1019, step=19020, lr=0.121000, batch loss=0.022806, epoch loss=0.589175 Batch=1079, step=19080, lr=0.120750, batch loss=0.010705, epoch loss=0.599880 Batch=1139, step=19140, lr=0.120500, batch loss=0.022966, epoch loss=0.622846 Batch=1199, step=19200, lr=0.120250, batch loss=0.009006, epoch loss=0.631852 Epoch=15, step=19200, lr=0.120250, epoch loss=0.631852 Batch=59, step=19260, lr=0.120000, batch loss=0.004565, epoch loss=0.004565 Batch=119, step=19320, lr=0.119750, batch loss=0.012906, epoch loss=0.017471 Batch=179, step=19380, lr=0.119500, batch loss=0.027003, epoch loss=0.044474 Batch=239, step=19440, lr=0.119250, batch loss=0.024985, epoch loss=0.069459 Batch=299, step=19500, lr=0.119000, batch loss=0.013159, epoch loss=0.082618 Batch=359, step=19560, lr=0.118750, batch loss=0.017074, epoch loss=0.099693 Batch=419, step=19620, lr=0.118500, batch loss=0.020803, epoch loss=0.120495 Batch=479, step=19680, lr=0.118250, batch loss=0.011742, epoch loss=0.132238 Batch=539, step=19740, lr=0.117750, batch loss=0.018745, epoch loss=0.150982 Batch=599, step=19800, lr=0.117750, batch loss=0.022705, epoch loss=0.173687 Batch=659, step=19860, lr=0.117500, batch loss=0.022242, epoch loss=0.195929 Batch=719, step=19920, lr=0.117250, batch loss=0.035800, epoch loss=0.231729 Batch=779, step=19980, lr=0.117000, batch loss=0.082379, epoch loss=0.314108 Batch=839, step=20040, lr=0.116750, batch loss=0.031986, epoch loss=0.346093 Batch=899, step=20100, lr=0.116500, batch loss=0.028419, epoch loss=0.374513 Batch=959, step=20160, lr=0.116250, batch loss=0.017454, epoch loss=0.391967 Batch=1019, step=20220, lr=0.116000, batch loss=0.018850, epoch loss=0.410817 Batch=1079, step=20280, lr=0.115750, batch loss=0.004352, epoch loss=0.415169 Batch=1139, step=20340, lr=0.115250, batch loss=0.016471, epoch loss=0.431640 Batch=1199, step=20400, lr=0.115250, batch loss=0.006971, epoch loss=0.438611 Epoch=16, step=20400, lr=0.115250, epoch loss=0.438611 Batch=59, step=20460, lr=0.115000, batch loss=0.003362, epoch loss=0.003362 Batch=119, step=20520, lr=0.114750, batch loss=0.009658, epoch loss=0.013020 Batch=179, step=20580, lr=0.114500, batch loss=0.027011, epoch loss=0.040032 Batch=239, step=20640, lr=0.114250, batch loss=0.014328, epoch loss=0.054359 Batch=299, step=20700, lr=0.114000, batch loss=0.003288, epoch loss=0.057647 Batch=359, step=20760, lr=0.113750, batch loss=0.013471, epoch loss=0.071119 Batch=419, step=20820, lr=0.113500, batch loss=0.016389, epoch loss=0.087508 Batch=479, step=20880, lr=0.113250, batch loss=0.004456, epoch loss=0.091963 Batch=539, step=20940, lr=0.113000, batch loss=0.015778, epoch loss=0.107741 Batch=599, step=21000, lr=0.112750, batch loss=0.019303, epoch loss=0.127045 Batch=659, step=21060, lr=0.112500, batch loss=0.014345, epoch loss=0.141389 Batch=719, step=21120, lr=0.112250, batch loss=0.040019, epoch loss=0.181408 Batch=779, step=21180, lr=0.112000, batch loss=0.066257, epoch loss=0.247665 Batch=839, step=21240, lr=0.111750, batch loss=0.025331, epoch loss=0.272995 Batch=899, step=21300, lr=0.111500, batch loss=0.029914, epoch loss=0.302909 Batch=959, step=21360, lr=0.111250, batch loss=0.010787, epoch loss=0.313696 Batch=1019, step=21420, lr=0.111000, batch loss=0.012554, epoch loss=0.326250 Batch=1079, step=21480, lr=0.110750, batch loss=0.001787, epoch loss=0.328038 Batch=1139, step=21540, lr=0.110500, batch loss=0.012647, epoch loss=0.340685 Batch=1199, step=21600, lr=0.110250, batch loss=0.004965, epoch loss=0.345650 Epoch=17, step=21600, lr=0.110250, epoch loss=0.345650 Batch=59, step=21660, lr=0.110000, batch loss=0.002309, epoch loss=0.002309 Batch=119, step=21720, lr=0.109750, batch loss=0.006700, epoch loss=0.009009 Batch=179, step=21780, lr=0.109500, batch loss=0.012874, epoch loss=0.021883 Batch=239, step=21840, lr=0.109250, batch loss=0.010452, epoch loss=0.032336 Batch=299, step=21900, lr=0.109000, batch loss=0.002061, epoch loss=0.034397 Batch=359, step=21960, lr=0.108750, batch loss=0.011063, epoch loss=0.045459 Batch=419, step=22020, lr=0.108500, batch loss=0.012046, epoch loss=0.057505 Batch=479, step=22080, lr=0.108250, batch loss=0.003120, epoch loss=0.060625 Batch=539, step=22140, lr=0.108000, batch loss=0.017923, epoch loss=0.078549 Batch=599, step=22200, lr=0.107750, batch loss=0.017042, epoch loss=0.095590 Batch=659, step=22260, lr=0.107500, batch loss=0.015702, epoch loss=0.111293 Batch=719, step=22320, lr=0.107250, batch loss=0.025887, epoch loss=0.137180 Batch=779, step=22380, lr=0.107000, batch loss=0.035772, epoch loss=0.172952 Batch=839, step=22440, lr=0.106750, batch loss=0.025527, epoch loss=0.198479 Batch=899, step=22500, lr=0.106250, batch loss=0.028242, epoch loss=0.226721 Batch=959, step=22560, lr=0.106250, batch loss=0.008877, epoch loss=0.235598 Batch=1019, step=22620, lr=0.105750, batch loss=0.009974, epoch loss=0.245572 Batch=1079, step=22680, lr=0.105750, batch loss=0.000985, epoch loss=0.246556 Batch=1139, step=22740, lr=0.105250, batch loss=0.010269, epoch loss=0.256825 Batch=1199, step=22800, lr=0.105250, batch loss=0.004756, epoch loss=0.261581 Epoch=18, step=22800, lr=0.105250, epoch loss=0.261581 Batch=59, step=22860, lr=0.104750, batch loss=0.001821, epoch loss=0.001821 Batch=119, step=22920, lr=0.104750, batch loss=0.005409, epoch loss=0.007231 Batch=179, step=22980, lr=0.104250, batch loss=0.010815, epoch loss=0.018046 Batch=239, step=23040, lr=0.104250, batch loss=0.009401, epoch loss=0.027447 Batch=299, step=23100, lr=0.103750, batch loss=0.011584, epoch loss=0.039031 Batch=359, step=23160, lr=0.103750, batch loss=0.011372, epoch loss=0.050403 Batch=419, step=23220, lr=0.103500, batch loss=0.010720, epoch loss=0.061122 Batch=479, step=23280, lr=0.103000, batch loss=0.002511, epoch loss=0.063633 Batch=539, step=23340, lr=0.103000, batch loss=0.018783, epoch loss=0.082416 Batch=599, step=23400, lr=0.102750, batch loss=0.014598, epoch loss=0.097014 Batch=659, step=23460, lr=0.102500, batch loss=0.013310, epoch loss=0.110325 Batch=719, step=23520, lr=0.102000, batch loss=0.012403, epoch loss=0.122728 Batch=779, step=23580, lr=0.101750, batch loss=0.022194, epoch loss=0.144922 Batch=839, step=23640, lr=0.101750, batch loss=0.027026, epoch loss=0.171947 Batch=899, step=23700, lr=0.101500, batch loss=0.022236, epoch loss=0.194184 Batch=959, step=23760, lr=0.101000, batch loss=0.009479, epoch loss=0.203663 Batch=1019, step=23820, lr=0.101000, batch loss=0.007423, epoch loss=0.211086 Batch=1079, step=23880, lr=0.100750, batch loss=0.001477, epoch loss=0.212563 Batch=1139, step=23940, lr=0.100500, batch loss=0.008611, epoch loss=0.221175 Batch=1199, step=24000, lr=0.100250, batch loss=0.004657, epoch loss=0.225832 Epoch=19, step=24000, lr=0.100250, epoch loss=0.225832 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##**********...........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######***********............%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##*******.....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................******...................%.%%.%%......│ │*************........................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-04-10 14:35.52 ---> saved as "80f5e4f51ef125d1fd958eb45aca018765d674a377ae39d4bf9f35054e5d1fca" Job succeeded 2025-04-10 14:35.53: Job succeeded