2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (linux-x86_64:opensuse-15.6-5.3_opam-2.3) Base: ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 8b6a6fac cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907 # 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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 14:48.49: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907-opensuse-15.6-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 14:48.49: Using OBuilder spec: ((from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907) (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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 14:48.49: Waiting for resource in pool OCluster 2025-03-21 14:48.50: Waiting for worker… 2025-03-21 14:50.08: Got resource from pool OCluster Building on clete.caelum.ci.dev All commits already cached HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests (from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907) 2025-03-21 14:56.35 ---> saved as "97c0fadd2a2f6fc0d6f7c024b06fdc5e37314bdc6a75a12d7cd819ed6ccf2aa0" /: (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")) 2025-03-21 14:56.35 ---> saved as "ae8deb97ac3f0d225fc1c09301f1ecf73216745312621d386a5a7c1d83af4ac0" /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 ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 14:58.31 ---> saved as "b9e7493c2d0282d19720dc154beb4021e405218902724c60e81ee6d906a24ad1" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 14:58.31 ---> saved as "59503f8b04c6e35ab7b00f105a136ae0ce66053ec9281c32268254d16b5cb3d4" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 14:58.32 ---> saved as "3336fd0a8b7aa274901f66563ebf4bbae201df957a49f9776cc6d20c7be356cc" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..acfb0e6e94 master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 15:00.18 ---> saved as "6c01ad4ba882899c394b1e823611bfadb3a659182c71b239fa45a13cb8940235" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 15:00.18 ---> saved as "5e66a281da679ea54cc763b9eee1458a39f12e00c5f33d20db9db3b5ae6e3cb6" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 15:00.41 ---> saved as "deb43b2371e532ad7414ca188b199efb75a91f0069431d74f5f1b6b6223c7a2e" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 15:00.42 ---> saved as "f55e7ac5f29f517c31f26aaca6e22d29e8e4db7c25088e26154874f701058085" /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "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 (22.0 KiB/s)] - - Checking for file conflicts: [..done] - (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done] 2025-03-21 15:02.23 ---> saved as "a4a8b70afc2e1326b01fe86fdc48e5f6293744c067d363eeb9a6b275a2fb3303" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_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_here.v0.17.0 (cached) -> retrieved ppx_hash.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_minidebug.2.1.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> 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 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 ptime.1.2.0 -> installed dune.3.17.2 -> 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 multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed re.1.12.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed integers.0.7.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed uucp.16.0.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed printbox-text.0.12 -> installed ctypes-foreign.0.23.0 -> 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_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_enumerate.v0.17.0 -> 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.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 15:05.39 ---> saved as "307cbec0a019b53ccea6a5b6391e330ad124ad07b18d08f007ef372432e04c05" /src: (copy (src .) (dst /src)) 2025-03-21 15:05.40 ---> saved as "e27e0380168c3a033b108a678e8a7e22ad1c840b5cb64c81735e647cf36f2a55" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0ccf25c3d5d3903e0b37d5eb44260ce1/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199250, batch loss=0.845226, epoch loss=35.615435 Batch=299, step=300, lr=0.199000, batch loss=1.458357, epoch loss=37.073792 Batch=359, step=360, lr=0.198500, batch loss=1.325710, epoch loss=38.399502 Batch=419, step=420, lr=0.198250, batch loss=0.621560, epoch loss=39.021062 Batch=479, step=480, lr=0.198250, batch loss=0.816880, epoch loss=39.837942 Batch=539, step=540, lr=0.198000, batch loss=0.699801, epoch loss=40.537742 Batch=599, step=600, lr=0.197750, batch loss=1.071803, epoch loss=41.609546 Batch=659, step=660, lr=0.197500, batch loss=0.483122, epoch loss=42.092668 Batch=719, step=720, lr=0.197250, batch loss=0.411572, epoch loss=42.504240 Batch=779, step=780, lr=0.197000, batch loss=0.469786, epoch loss=42.974026 Batch=839, step=840, lr=0.196750, batch loss=0.444691, epoch loss=43.418717 Batch=899, step=900, lr=0.196500, batch loss=0.383155, epoch loss=43.801872 Batch=959, step=960, lr=0.196250, batch loss=0.240717, epoch loss=44.042589 Batch=1019, step=1020, lr=0.196000, batch loss=0.438531, epoch loss=44.481120 Batch=1079, step=1080, lr=0.195750, batch loss=0.226640, epoch loss=44.707760 Batch=1139, step=1140, lr=0.195500, batch loss=0.314565, epoch loss=45.022325 Batch=1199, step=1200, lr=0.195250, batch loss=0.262568, epoch loss=45.284893 Epoch=0, step=1200, lr=0.195250, epoch loss=45.284893 Batch=59, step=1260, lr=0.195000, batch loss=0.262152, epoch loss=0.262152 Batch=119, step=1320, lr=0.194750, batch loss=0.210587, epoch loss=0.472740 Batch=179, step=1380, lr=0.194500, batch loss=0.244034, epoch loss=0.716774 Batch=239, step=1440, lr=0.194250, batch loss=0.350240, epoch loss=1.067014 Batch=299, step=1500, lr=0.194000, batch loss=0.239095, epoch loss=1.306109 Batch=359, step=1560, lr=0.193750, batch loss=0.312945, epoch loss=1.619055 Batch=419, step=1620, lr=0.193500, batch loss=0.307122, epoch loss=1.926177 Batch=479, step=1680, lr=0.193250, batch loss=0.272867, epoch loss=2.199044 Batch=539, step=1740, lr=0.193000, batch loss=0.210431, epoch loss=2.409476 Batch=599, step=1800, lr=0.192750, batch loss=0.249330, epoch loss=2.658805 Batch=659, step=1860, lr=0.192500, batch loss=0.368093, epoch loss=3.026898 Batch=719, step=1920, lr=0.192250, batch loss=0.362941, epoch loss=3.389839 Batch=779, step=1980, lr=0.192000, batch loss=0.380175, epoch loss=3.770014 Batch=839, step=2040, lr=0.191750, batch loss=0.343564, epoch loss=4.113579 Batch=899, step=2100, lr=0.191500, batch loss=0.314893, epoch loss=4.428472 Batch=959, step=2160, lr=0.191250, batch loss=0.241617, epoch loss=4.670089 Batch=1019, step=2220, lr=0.191000, batch loss=0.358979, epoch loss=5.029068 Batch=1079, step=2280, lr=0.190750, batch loss=0.235940, epoch loss=5.265009 Batch=1139, step=2340, lr=0.190500, batch loss=0.286206, epoch loss=5.551215 Batch=1199, step=2400, lr=0.190250, batch loss=0.217428, epoch loss=5.768643 Epoch=1, step=2400, lr=0.190250, epoch loss=5.768643 Batch=59, step=2460, lr=0.190000, batch loss=0.229640, epoch loss=0.229640 Batch=119, step=2520, lr=0.189750, batch loss=0.186354, epoch loss=0.415994 Batch=179, step=2580, lr=0.189500, batch loss=0.221829, epoch loss=0.637824 Batch=239, step=2640, lr=0.189250, batch loss=0.338515, epoch loss=0.976339 Batch=299, step=2700, lr=0.188750, batch loss=0.218174, epoch loss=1.194513 Batch=359, step=2760, lr=0.188750, batch loss=0.296289, epoch loss=1.490802 Batch=419, step=2820, lr=0.188250, batch loss=0.288862, epoch loss=1.779664 Batch=479, step=2880, lr=0.188000, batch loss=0.261192, epoch loss=2.040856 Batch=539, step=2940, lr=0.188000, batch loss=0.197002, epoch loss=2.237858 Batch=599, step=3000, lr=0.187750, batch loss=0.238655, epoch loss=2.476513 Batch=659, step=3060, lr=0.187500, batch loss=0.341197, epoch loss=2.817710 Batch=719, step=3120, lr=0.187250, batch loss=0.337991, epoch loss=3.155701 Batch=779, step=3180, lr=0.187000, batch loss=0.359603, epoch loss=3.515305 Batch=839, step=3240, lr=0.186500, batch loss=0.330162, epoch loss=3.845466 Batch=899, step=3300, lr=0.186250, batch loss=0.299636, epoch loss=4.145103 Batch=959, step=3360, lr=0.186250, batch loss=0.237410, epoch loss=4.382513 Batch=1019, step=3420, lr=0.186000, batch loss=0.356103, epoch loss=4.738616 Batch=1079, step=3480, lr=0.185750, batch loss=0.223048, epoch loss=4.961663 Batch=1139, step=3540, lr=0.185500, batch loss=0.260984, epoch loss=5.222647 Batch=1199, step=3600, lr=0.185250, batch loss=0.200445, epoch loss=5.423092 Epoch=2, step=3600, lr=0.185250, epoch loss=5.423092 Batch=59, step=3660, lr=0.185000, batch loss=0.227811, epoch loss=0.227811 Batch=119, step=3720, lr=0.184750, batch loss=0.187052, epoch loss=0.414863 Batch=179, step=3780, lr=0.184500, batch loss=0.213807, epoch loss=0.628670 Batch=239, step=3840, lr=0.184250, batch loss=0.317329, epoch loss=0.945999 Batch=299, step=3900, lr=0.184000, batch loss=0.203816, epoch loss=1.149815 Batch=359, step=3960, lr=0.183750, batch loss=0.289106, epoch loss=1.438921 Batch=419, step=4020, lr=0.183500, batch loss=0.275573, epoch loss=1.714494 Batch=479, step=4080, lr=0.183250, batch loss=0.259005, epoch loss=1.973498 Batch=539, step=4140, lr=0.183000, batch loss=0.194376, epoch loss=2.167875 Batch=599, step=4200, lr=0.182750, batch loss=0.229257, epoch loss=2.397132 Batch=659, step=4260, lr=0.182500, batch loss=0.332494, epoch loss=2.729626 Batch=719, step=4320, lr=0.182250, batch loss=0.328515, epoch loss=3.058142 Batch=779, step=4380, lr=0.182000, batch loss=0.348263, epoch loss=3.406405 Batch=839, step=4440, lr=0.181750, batch loss=0.319189, epoch loss=3.725593 Batch=899, step=4500, lr=0.181500, batch loss=0.286688, epoch loss=4.012281 Batch=959, step=4560, lr=0.181250, batch loss=0.238005, epoch loss=4.250287 Batch=1019, step=4620, lr=0.181000, batch loss=0.330328, epoch loss=4.580615 Batch=1079, step=4680, lr=0.180750, batch loss=0.194336, epoch loss=4.774951 Batch=1139, step=4740, lr=0.180500, batch loss=0.228148, epoch loss=5.003100 Batch=1199, step=4800, lr=0.180250, batch loss=0.193801, epoch loss=5.196900 Epoch=3, step=4800, lr=0.180250, epoch loss=5.196900 Batch=59, step=4860, lr=0.180000, batch loss=0.234846, epoch loss=0.234846 Batch=119, step=4920, lr=0.179750, batch loss=0.191073, epoch loss=0.425918 Batch=179, step=4980, lr=0.179500, batch loss=0.206853, epoch loss=0.632772 Batch=239, step=5040, lr=0.179250, batch loss=0.308126, epoch loss=0.940898 Batch=299, step=5100, lr=0.179000, batch loss=0.207595, epoch loss=1.148492 Batch=359, step=5160, lr=0.178750, batch loss=0.274778, epoch loss=1.423270 Batch=419, step=5220, lr=0.178500, batch loss=0.266150, epoch loss=1.689420 Batch=479, step=5280, lr=0.178250, batch loss=0.241694, epoch loss=1.931114 Batch=539, step=5340, lr=0.178000, batch loss=0.189389, epoch loss=2.120503 Batch=599, step=5400, lr=0.177750, batch loss=0.231513, epoch loss=2.352016 Batch=659, step=5460, lr=0.177500, batch loss=0.324306, epoch loss=2.676322 Batch=719, step=5520, lr=0.177250, batch loss=0.320839, epoch loss=2.997161 Batch=779, step=5580, lr=0.177000, batch loss=0.342190, epoch loss=3.339350 Batch=839, step=5640, lr=0.176750, batch loss=0.311421, epoch loss=3.650771 Batch=899, step=5700, lr=0.176500, batch loss=0.272767, epoch loss=3.923538 Batch=959, step=5760, lr=0.176250, batch loss=0.216531, epoch loss=4.140069 Batch=1019, step=5820, lr=0.176000, batch loss=0.332141, epoch loss=4.472210 Batch=1079, step=5880, lr=0.175750, batch loss=0.182511, epoch loss=4.654721 Batch=1139, step=5940, lr=0.175500, batch loss=0.218174, epoch loss=4.872895 Batch=1199, step=6000, lr=0.175250, batch loss=0.201453, epoch loss=5.074348 Epoch=4, step=6000, lr=0.175250, epoch loss=5.074348 Batch=59, step=6060, lr=0.174750, batch loss=0.242206, epoch loss=0.242206 Batch=119, step=6120, lr=0.174750, batch loss=0.186651, epoch loss=0.428857 Batch=179, step=6180, lr=0.174500, batch loss=0.200700, epoch loss=0.629556 Batch=239, step=6240, lr=0.174250, batch loss=0.301107, epoch loss=0.930663 Batch=299, step=6300, lr=0.174000, batch loss=0.213485, epoch loss=1.144148 Batch=359, step=6360, lr=0.173750, batch loss=0.270194, epoch loss=1.414342 Batch=419, step=6420, lr=0.173500, batch loss=0.266028, epoch loss=1.680370 Batch=479, step=6480, lr=0.173250, batch loss=0.246295, epoch loss=1.926665 Batch=539, step=6540, lr=0.173000, batch loss=0.193407, epoch loss=2.120072 Batch=599, step=6600, lr=0.172750, batch loss=0.237689, epoch loss=2.357761 Batch=659, step=6660, lr=0.172500, batch loss=0.311976, epoch loss=2.669737 Batch=719, step=6720, lr=0.172250, batch loss=0.319352, epoch loss=2.989089 Batch=779, step=6780, lr=0.171750, batch loss=0.339271, epoch loss=3.328360 Batch=839, step=6840, lr=0.171750, batch loss=0.300060, epoch loss=3.628420 Batch=899, step=6900, lr=0.171500, batch loss=0.260857, epoch loss=3.889277 Batch=959, step=6960, lr=0.171000, batch loss=0.194459, epoch loss=4.083736 Batch=1019, step=7020, lr=0.170750, batch loss=0.299982, epoch loss=4.383718 Batch=1079, step=7080, lr=0.170750, batch loss=0.176196, epoch loss=4.559914 Batch=1139, step=7140, lr=0.170250, batch loss=0.215455, epoch loss=4.775369 Batch=1199, step=7200, lr=0.170250, batch loss=0.181514, epoch loss=4.956882 Epoch=5, step=7200, lr=0.170250, epoch loss=4.956882 Batch=59, step=7260, lr=0.170000, batch loss=0.212951, epoch loss=0.212951 Batch=119, step=7320, lr=0.169750, batch loss=0.184712, epoch loss=0.397663 Batch=179, step=7380, lr=0.169500, batch loss=0.194407, epoch loss=0.592071 Batch=239, step=7440, lr=0.169250, batch loss=0.290942, epoch loss=0.883013 Batch=299, step=7500, lr=0.169000, batch loss=0.206543, epoch loss=1.089556 Batch=359, step=7560, lr=0.168750, batch loss=0.263630, epoch loss=1.353186 Batch=419, step=7620, lr=0.168500, batch loss=0.253659, epoch loss=1.606845 Batch=479, step=7680, lr=0.168250, batch loss=0.229682, epoch loss=1.836527 Batch=539, step=7740, lr=0.168000, batch loss=0.183765, epoch loss=2.020292 Batch=599, step=7800, lr=0.167750, batch loss=0.220614, epoch loss=2.240907 Batch=659, step=7860, lr=0.167500, batch loss=0.305049, epoch loss=2.545955 Batch=719, step=7920, lr=0.167250, batch loss=0.308695, epoch loss=2.854650 Batch=779, step=7980, lr=0.167000, batch loss=0.320891, epoch loss=3.175541 Batch=839, step=8040, lr=0.166750, batch loss=0.297629, epoch loss=3.473171 Batch=899, step=8100, lr=0.166500, batch loss=0.258250, epoch loss=3.731420 Batch=959, step=8160, lr=0.166000, batch loss=0.207798, epoch loss=3.939218 Batch=1019, step=8220, lr=0.166000, batch loss=0.319722, epoch loss=4.258940 Batch=1079, step=8280, lr=0.165750, batch loss=0.172657, epoch loss=4.431598 Batch=1139, step=8340, lr=0.165250, batch loss=0.210222, epoch loss=4.641820 Batch=1199, step=8400, lr=0.165250, batch loss=0.178183, epoch loss=4.820004 Epoch=6, step=8400, lr=0.165250, epoch loss=4.820004 Batch=59, step=8460, lr=0.164750, batch loss=0.231194, epoch loss=0.231194 Batch=119, step=8520, lr=0.164750, batch loss=0.174775, epoch loss=0.405969 Batch=179, step=8580, lr=0.164500, batch loss=0.188582, epoch loss=0.594551 Batch=239, step=8640, lr=0.164250, batch loss=0.280345, epoch loss=0.874896 Batch=299, step=8700, lr=0.164000, batch loss=0.192802, epoch loss=1.067697 Batch=359, step=8760, lr=0.163750, batch loss=0.250365, epoch loss=1.318063 Batch=419, step=8820, lr=0.163500, batch loss=0.246731, epoch loss=1.564794 Batch=479, step=8880, lr=0.163250, batch loss=0.227966, epoch loss=1.792760 Batch=539, step=8940, lr=0.163000, batch loss=0.182250, epoch loss=1.975010 Batch=599, step=9000, lr=0.162750, batch loss=0.216715, epoch loss=2.191725 Batch=659, step=9060, lr=0.162500, batch loss=0.294641, epoch loss=2.486366 Batch=719, step=9120, lr=0.162250, batch loss=0.294105, epoch loss=2.780470 Batch=779, step=9180, lr=0.162000, batch loss=0.307535, epoch loss=3.088005 Batch=839, step=9240, lr=0.161750, batch loss=0.285779, epoch loss=3.373784 Batch=899, step=9300, lr=0.161500, batch loss=0.249649, epoch loss=3.623433 Batch=959, step=9360, lr=0.161250, batch loss=0.195075, epoch loss=3.818508 Batch=1019, step=9420, lr=0.161000, batch loss=0.310656, epoch loss=4.129164 Batch=1079, step=9480, lr=0.160500, batch loss=0.195688, epoch loss=4.324852 Batch=1139, step=9540, lr=0.160500, batch loss=0.215171, epoch loss=4.540023 Batch=1199, step=9600, lr=0.160250, batch loss=0.168580, epoch loss=4.708603 Epoch=7, step=9600, lr=0.160250, epoch loss=4.708603 Batch=59, step=9660, lr=0.159750, batch loss=0.201417, epoch loss=0.201417 Batch=119, step=9720, lr=0.159750, batch loss=0.165429, epoch loss=0.366846 Batch=179, step=9780, lr=0.159250, batch loss=0.179239, epoch loss=0.546085 Batch=239, step=9840, lr=0.159250, batch loss=0.263825, epoch loss=0.809910 Batch=299, step=9900, lr=0.159000, batch loss=0.182190, epoch loss=0.992100 Batch=359, step=9960, lr=0.158750, batch loss=0.243413, epoch loss=1.235513 Batch=419, step=10020, lr=0.158500, batch loss=0.234353, epoch loss=1.469866 Batch=479, step=10080, lr=0.158250, batch loss=0.214794, epoch loss=1.684660 Batch=539, step=10140, lr=0.158000, batch loss=0.172461, epoch loss=1.857121 Batch=599, step=10200, lr=0.157750, batch loss=0.202944, epoch loss=2.060065 Batch=659, step=10260, lr=0.157500, batch loss=0.282607, epoch loss=2.342672 Batch=719, step=10320, lr=0.157000, batch loss=0.287458, epoch loss=2.630130 Batch=779, step=10380, lr=0.157000, batch loss=0.293457, epoch loss=2.923587 Batch=839, step=10440, lr=0.156750, batch loss=0.268932, epoch loss=3.192519 Batch=899, step=10500, lr=0.156500, batch loss=0.244665, epoch loss=3.437183 Batch=959, step=10560, lr=0.156250, batch loss=0.196849, epoch loss=3.634033 Batch=1019, step=10620, lr=0.156000, batch loss=0.285720, epoch loss=3.919752 Batch=1079, step=10680, lr=0.155500, batch loss=0.193065, epoch loss=4.112817 Batch=1139, step=10740, lr=0.155500, batch loss=0.206152, epoch loss=4.318968 Batch=1199, step=10800, lr=0.155250, batch loss=0.157116, epoch loss=4.476085 Epoch=8, step=10800, lr=0.155250, epoch loss=4.476085 Batch=59, step=10860, lr=0.155000, batch loss=0.179899, epoch loss=0.179899 Batch=119, step=10920, lr=0.154750, batch loss=0.151376, epoch loss=0.331274 Batch=179, step=10980, lr=0.154500, batch loss=0.167837, epoch loss=0.499112 Batch=239, step=11040, lr=0.154000, batch loss=0.249575, epoch loss=0.748686 Batch=299, step=11100, lr=0.154000, batch loss=0.169888, epoch loss=0.918575 Batch=359, step=11160, lr=0.153750, batch loss=0.222894, epoch loss=1.141469 Batch=419, step=11220, lr=0.153500, batch loss=0.218112, epoch loss=1.359580 Batch=479, step=11280, lr=0.153000, batch loss=0.213290, epoch loss=1.572870 Batch=539, step=11340, lr=0.153000, batch loss=0.163157, epoch loss=1.736027 Batch=599, step=11400, lr=0.152500, batch loss=0.179823, epoch loss=1.915850 Batch=659, step=11460, lr=0.152500, batch loss=0.267652, epoch loss=2.183502 Batch=719, step=11520, lr=0.152250, batch loss=0.266574, epoch loss=2.450076 Batch=779, step=11580, lr=0.152000, batch loss=0.276137, epoch loss=2.726214 Batch=839, step=11640, lr=0.151750, batch loss=0.252924, epoch loss=2.979137 Batch=899, step=11700, lr=0.151500, batch loss=0.222270, epoch loss=3.201407 Batch=959, step=11760, lr=0.151250, batch loss=0.188813, epoch loss=3.390220 Batch=1019, step=11820, lr=0.151000, batch loss=0.293204, epoch loss=3.683424 Batch=1079, step=11880, lr=0.150750, batch loss=0.147223, epoch loss=3.830647 Batch=1139, step=11940, lr=0.150500, batch loss=0.181510, epoch loss=4.012158 Batch=1199, step=12000, lr=0.150250, batch loss=0.141602, epoch loss=4.153759 Epoch=9, step=12000, lr=0.150250, epoch loss=4.153759 Batch=59, step=12060, lr=0.149750, batch loss=0.162929, epoch loss=0.162929 Batch=119, step=12120, lr=0.149750, batch loss=0.138485, epoch loss=0.301414 Batch=179, step=12180, lr=0.149500, batch loss=0.153540, epoch loss=0.454954 Batch=239, step=12240, lr=0.149250, batch loss=0.222487, epoch loss=0.677441 Batch=299, step=12300, lr=0.149000, batch loss=0.144839, epoch loss=0.822280 Batch=359, step=12360, lr=0.148500, batch loss=0.200900, epoch loss=1.023180 Batch=419, step=12420, lr=0.148500, batch loss=0.209190, epoch loss=1.232371 Batch=479, step=12480, lr=0.148250, batch loss=0.181056, epoch loss=1.413426 Batch=539, step=12540, lr=0.148000, batch loss=0.144493, epoch loss=1.557919 Batch=599, step=12600, lr=0.147750, batch loss=0.150920, epoch loss=1.708839 Batch=659, step=12660, lr=0.147500, batch loss=0.230984, epoch loss=1.939823 Batch=719, step=12720, lr=0.147250, batch loss=0.243979, epoch loss=2.183802 Batch=779, step=12780, lr=0.147000, batch loss=0.256704, epoch loss=2.440506 Batch=839, step=12840, lr=0.146750, batch loss=0.229839, epoch loss=2.670345 Batch=899, step=12900, lr=0.146500, batch loss=0.194775, epoch loss=2.865120 Batch=959, step=12960, lr=0.146250, batch loss=0.163431, epoch loss=3.028551 Batch=1019, step=13020, lr=0.146000, batch loss=0.264627, epoch loss=3.293177 Batch=1079, step=13080, lr=0.145750, batch loss=0.117805, epoch loss=3.410982 Batch=1139, step=13140, lr=0.145500, batch loss=0.151052, epoch loss=3.562034 Batch=1199, step=13200, lr=0.145250, batch loss=0.119574, epoch loss=3.681609 Epoch=10, step=13200, lr=0.145250, epoch loss=3.681609 Batch=59, step=13260, lr=0.145000, batch loss=0.142447, epoch loss=0.142447 Batch=119, step=13320, lr=0.144750, batch loss=0.125288, epoch loss=0.267735 Batch=179, step=13380, lr=0.144500, batch loss=0.131164, epoch loss=0.398899 Batch=239, step=13440, lr=0.144250, batch loss=0.195612, epoch loss=0.594511 Batch=299, step=13500, lr=0.144000, batch loss=0.122855, epoch loss=0.717365 Batch=359, step=13560, lr=0.143750, batch loss=0.168195, epoch loss=0.885561 Batch=419, step=13620, lr=0.143500, batch loss=0.169428, epoch loss=1.054988 Batch=479, step=13680, lr=0.143000, batch loss=0.154473, epoch loss=1.209462 Batch=539, step=13740, lr=0.143000, batch loss=0.119411, epoch loss=1.328873 Batch=599, step=13800, lr=0.142750, batch loss=0.124406, epoch loss=1.453279 Batch=659, step=13860, lr=0.142500, batch loss=0.185290, epoch loss=1.638569 Batch=719, step=13920, lr=0.142250, batch loss=0.187292, epoch loss=1.825861 Batch=779, step=13980, lr=0.142000, batch loss=0.211770, epoch loss=2.037631 Batch=839, step=14040, lr=0.141750, batch loss=0.206466, epoch loss=2.244096 Batch=899, step=14100, lr=0.141500, batch loss=0.216674, epoch loss=2.460771 Batch=959, step=14160, lr=0.141250, batch loss=0.109838, epoch loss=2.570609 Batch=1019, step=14220, lr=0.141000, batch loss=0.195721, epoch loss=2.766331 Batch=1079, step=14280, lr=0.140750, batch loss=0.082326, epoch loss=2.848657 Batch=1139, step=14340, lr=0.140500, batch loss=0.130820, epoch loss=2.979477 Batch=1199, step=14400, lr=0.140000, batch loss=0.089891, epoch loss=3.069367 Epoch=11, step=14400, lr=0.140000, epoch loss=3.069367 Batch=59, step=14460, lr=0.140000, batch loss=0.114379, epoch loss=0.114379 Batch=119, step=14520, lr=0.139750, batch loss=0.105229, epoch loss=0.219608 Batch=179, step=14580, lr=0.139500, batch loss=0.104261, epoch loss=0.323869 Batch=239, step=14640, lr=0.139250, batch loss=0.148425, epoch loss=0.472294 Batch=299, step=14700, lr=0.139000, batch loss=0.079704, epoch loss=0.551998 Batch=359, step=14760, lr=0.138750, batch loss=0.125487, epoch loss=0.677485 Batch=419, step=14820, lr=0.138500, batch loss=0.133558, epoch loss=0.811043 Batch=479, step=14880, lr=0.138250, batch loss=0.108490, epoch loss=0.919534 Batch=539, step=14940, lr=0.138000, batch loss=0.106491, epoch loss=1.026025 Batch=599, step=15000, lr=0.137750, batch loss=0.087986, epoch loss=1.114011 Batch=659, step=15060, lr=0.137500, batch loss=0.133421, epoch loss=1.247431 Batch=719, step=15120, lr=0.137250, batch loss=0.125887, epoch loss=1.373319 Batch=779, step=15180, lr=0.137000, batch loss=0.137221, epoch loss=1.510540 Batch=839, step=15240, lr=0.136750, batch loss=0.148181, epoch loss=1.658721 Batch=899, step=15300, lr=0.136500, batch loss=0.148170, epoch loss=1.806891 Batch=959, step=15360, lr=0.136250, batch loss=0.117357, epoch loss=1.924248 Batch=1019, step=15420, lr=0.136000, batch loss=0.355612, epoch loss=2.279860 Batch=1079, step=15480, lr=0.135750, batch loss=0.039535, epoch loss=2.319395 Batch=1139, step=15540, lr=0.135500, batch loss=0.078167, epoch loss=2.397563 Batch=1199, step=15600, lr=0.135250, batch loss=0.057338, epoch loss=2.454901 Epoch=12, step=15600, lr=0.135250, epoch loss=2.454901 Batch=59, step=15660, lr=0.135000, batch loss=0.075805, epoch loss=0.075805 Batch=119, step=15720, lr=0.134750, batch loss=0.085741, epoch loss=0.161546 Batch=179, step=15780, lr=0.134500, batch loss=0.082854, epoch loss=0.244400 Batch=239, step=15840, lr=0.134250, batch loss=0.096965, epoch loss=0.341365 Batch=299, step=15900, lr=0.134000, batch loss=0.056968, epoch loss=0.398333 Batch=359, step=15960, lr=0.133750, batch loss=0.106828, epoch loss=0.505161 Batch=419, step=16020, lr=0.133500, batch loss=0.168091, epoch loss=0.673252 Batch=479, step=16080, lr=0.133250, batch loss=0.053278, epoch loss=0.726530 Batch=539, step=16140, lr=0.133000, batch loss=0.067532, epoch loss=0.794062 Batch=599, step=16200, lr=0.132750, batch loss=0.145376, epoch loss=0.939439 Batch=659, step=16260, lr=0.132500, batch loss=0.100345, epoch loss=1.039784 Batch=719, step=16320, lr=0.132250, batch loss=0.132464, epoch loss=1.172248 Batch=779, step=16380, lr=0.132000, batch loss=0.253797, epoch loss=1.426045 Batch=839, step=16440, lr=0.131750, batch loss=0.093451, epoch loss=1.519495 Batch=899, step=16500, lr=0.131500, batch loss=0.076686, epoch loss=1.596181 Batch=959, step=16560, lr=0.131250, batch loss=0.040596, epoch loss=1.636777 Batch=1019, step=16620, lr=0.131000, batch loss=0.097180, epoch loss=1.733957 Batch=1079, step=16680, lr=0.130750, batch loss=0.028377, epoch loss=1.762334 Batch=1139, step=16740, lr=0.130500, batch loss=0.056400, epoch loss=1.818734 Batch=1199, step=16800, lr=0.130250, batch loss=0.033655, epoch loss=1.852388 Epoch=13, step=16800, lr=0.130250, epoch loss=1.852388 Batch=59, step=16860, lr=0.130000, batch loss=0.043840, epoch loss=0.043840 Batch=119, step=16920, lr=0.129750, batch loss=0.060578, epoch loss=0.104418 Batch=179, step=16980, lr=0.129500, batch loss=0.055920, epoch loss=0.160338 Batch=239, step=17040, lr=0.129000, batch loss=0.066835, epoch loss=0.227173 Batch=299, step=17100, lr=0.129000, batch loss=0.028402, epoch loss=0.255576 Batch=359, step=17160, lr=0.128750, batch loss=0.050050, epoch loss=0.305626 Batch=419, step=17220, lr=0.128500, batch loss=0.068289, epoch loss=0.373915 Batch=479, step=17280, lr=0.128250, batch loss=0.025557, epoch loss=0.399472 Batch=539, step=17340, lr=0.128000, batch loss=0.031003, epoch loss=0.430475 Batch=599, step=17400, lr=0.127750, batch loss=0.035376, epoch loss=0.465851 Batch=659, step=17460, lr=0.127500, batch loss=0.051780, epoch loss=0.517631 Batch=719, step=17520, lr=0.127250, batch loss=0.063119, epoch loss=0.580750 Batch=779, step=17580, lr=0.127000, batch loss=0.063682, epoch loss=0.644432 Batch=839, step=17640, lr=0.126750, batch loss=0.105761, epoch loss=0.750193 Batch=899, step=17700, lr=0.126500, batch loss=0.061091, epoch loss=0.811283 Batch=959, step=17760, lr=0.126250, batch loss=0.024668, epoch loss=0.835951 Batch=1019, step=17820, lr=0.126000, batch loss=0.039076, epoch loss=0.875027 Batch=1079, step=17880, lr=0.125750, batch loss=0.024635, epoch loss=0.899662 Batch=1139, step=17940, lr=0.125500, batch loss=0.057022, epoch loss=0.956684 Batch=1199, step=18000, lr=0.125250, batch loss=0.021656, epoch loss=0.978340 Epoch=14, step=18000, lr=0.125250, epoch loss=0.978340 Batch=59, step=18060, lr=0.125000, batch loss=0.014385, epoch loss=0.014385 Batch=119, step=18120, lr=0.124750, batch loss=0.019356, epoch loss=0.033740 Batch=179, step=18180, lr=0.124500, batch loss=0.030309, epoch loss=0.064049 Batch=239, step=18240, lr=0.124250, batch loss=0.036520, epoch loss=0.100569 Batch=299, step=18300, lr=0.124000, batch loss=0.012451, epoch loss=0.113021 Batch=359, step=18360, lr=0.123500, batch loss=0.024919, epoch loss=0.137940 Batch=419, step=18420, lr=0.123250, batch loss=0.029745, epoch loss=0.167684 Batch=479, step=18480, lr=0.123250, batch loss=0.021515, epoch loss=0.189199 Batch=539, step=18540, lr=0.122750, batch loss=0.045578, epoch loss=0.234778 Batch=599, step=18600, lr=0.122500, batch loss=0.026223, epoch loss=0.261000 Batch=659, step=18660, lr=0.122250, batch loss=0.036235, epoch loss=0.297235 Batch=719, step=18720, lr=0.122000, batch loss=0.037618, epoch loss=0.334853 Batch=779, step=18780, lr=0.121750, batch loss=0.091436, epoch loss=0.426289 Batch=839, step=18840, lr=0.121750, batch loss=0.071265, epoch loss=0.497555 Batch=899, step=18900, lr=0.121500, batch loss=0.110637, epoch loss=0.608192 Batch=959, step=18960, lr=0.121000, batch loss=0.016331, epoch loss=0.624523 Batch=1019, step=19020, lr=0.121000, batch loss=0.024612, epoch loss=0.649136 Batch=1079, step=19080, lr=0.120750, batch loss=0.008058, epoch loss=0.657194 Batch=1139, step=19140, lr=0.120500, batch loss=0.025826, epoch loss=0.683020 Batch=1199, step=19200, lr=0.120250, batch loss=0.011730, epoch loss=0.694749 Epoch=15, step=19200, lr=0.120250, epoch loss=0.694749 Batch=59, step=19260, lr=0.120000, batch loss=0.006378, epoch loss=0.006378 Batch=119, step=19320, lr=0.119750, batch loss=0.013264, epoch loss=0.019642 Batch=179, step=19380, lr=0.119500, batch loss=0.035059, epoch loss=0.054701 Batch=239, step=19440, lr=0.119250, batch loss=0.023869, epoch loss=0.078570 Batch=299, step=19500, lr=0.119000, batch loss=0.007383, epoch loss=0.085953 Batch=359, step=19560, lr=0.118750, batch loss=0.017316, epoch loss=0.103269 Batch=419, step=19620, lr=0.118500, batch loss=0.020766, epoch loss=0.124035 Batch=479, step=19680, lr=0.118250, batch loss=0.007214, epoch loss=0.131249 Batch=539, step=19740, lr=0.118000, batch loss=0.016933, epoch loss=0.148182 Batch=599, step=19800, lr=0.117750, batch loss=0.021979, epoch loss=0.170162 Batch=659, step=19860, lr=0.117500, batch loss=0.017898, epoch loss=0.188060 Batch=719, step=19920, lr=0.117250, batch loss=0.044144, epoch loss=0.232203 Batch=779, step=19980, lr=0.116750, batch loss=0.086735, epoch loss=0.318938 Batch=839, step=20040, lr=0.116500, batch loss=0.032971, epoch loss=0.351909 Batch=899, step=20100, lr=0.116500, batch loss=0.028428, epoch loss=0.380337 Batch=959, step=20160, lr=0.116000, batch loss=0.019002, epoch loss=0.399339 Batch=1019, step=20220, lr=0.115750, batch loss=0.027107, epoch loss=0.426446 Batch=1079, step=20280, lr=0.115750, batch loss=0.002662, epoch loss=0.429108 Batch=1139, step=20340, lr=0.115500, batch loss=0.014903, epoch loss=0.444011 Batch=1199, step=20400, lr=0.115250, batch loss=0.005882, epoch loss=0.449893 Epoch=16, step=20400, lr=0.115250, epoch loss=0.449893 Batch=59, step=20460, lr=0.115000, batch loss=0.003793, epoch loss=0.003793 Batch=119, step=20520, lr=0.114750, batch loss=0.009625, epoch loss=0.013418 Batch=179, step=20580, lr=0.114500, batch loss=0.023487, epoch loss=0.036905 Batch=239, step=20640, lr=0.114250, batch loss=0.015828, epoch loss=0.052733 Batch=299, step=20700, lr=0.114000, batch loss=0.005891, epoch loss=0.058624 Batch=359, step=20760, lr=0.113750, batch loss=0.014057, epoch loss=0.072681 Batch=419, step=20820, lr=0.113500, batch loss=0.014291, epoch loss=0.086972 Batch=479, step=20880, lr=0.113250, batch loss=0.003657, epoch loss=0.090629 Batch=539, step=20940, lr=0.113000, batch loss=0.017766, epoch loss=0.108395 Batch=599, step=21000, lr=0.112750, batch loss=0.021296, epoch loss=0.129691 Batch=659, step=21060, lr=0.112500, batch loss=0.014582, epoch loss=0.144274 Batch=719, step=21120, lr=0.112250, batch loss=0.044196, epoch loss=0.188469 Batch=779, step=21180, lr=0.112000, batch loss=0.070436, epoch loss=0.258905 Batch=839, step=21240, lr=0.111750, batch loss=0.026045, epoch loss=0.284951 Batch=899, step=21300, lr=0.111500, batch loss=0.027665, epoch loss=0.312616 Batch=959, step=21360, lr=0.111250, batch loss=0.010328, epoch loss=0.322944 Batch=1019, step=21420, lr=0.111000, batch loss=0.011120, epoch loss=0.334064 Batch=1079, step=21480, lr=0.110750, batch loss=0.001453, epoch loss=0.335518 Batch=1139, step=21540, lr=0.110500, batch loss=0.013258, epoch loss=0.348776 Batch=1199, step=21600, lr=0.110000, batch loss=0.005200, epoch loss=0.353976 Epoch=17, step=21600, lr=0.110000, epoch loss=0.353976 Batch=59, step=21660, lr=0.110000, batch loss=0.002539, epoch loss=0.002539 Batch=119, step=21720, lr=0.109500, batch loss=0.006977, epoch loss=0.009515 Batch=179, step=21780, lr=0.109250, batch loss=0.013176, epoch loss=0.022691 Batch=239, step=21840, lr=0.109250, batch loss=0.010034, epoch loss=0.032725 Batch=299, step=21900, lr=0.108750, batch loss=0.009875, epoch loss=0.042600 Batch=359, step=21960, lr=0.108500, batch loss=0.015054, epoch loss=0.057654 Batch=419, step=22020, lr=0.108500, batch loss=0.012369, epoch loss=0.070023 Batch=479, step=22080, lr=0.108250, batch loss=0.003178, epoch loss=0.073201 Batch=539, step=22140, lr=0.107750, batch loss=0.017786, epoch loss=0.090987 Batch=599, step=22200, lr=0.107750, batch loss=0.017302, epoch loss=0.108289 Batch=659, step=22260, lr=0.107250, batch loss=0.014721, epoch loss=0.123010 Batch=719, step=22320, lr=0.107250, batch loss=0.026910, epoch loss=0.149920 Batch=779, step=22380, lr=0.106750, batch loss=0.043665, epoch loss=0.193586 Batch=839, step=22440, lr=0.106750, batch loss=0.022071, epoch loss=0.215656 Batch=899, step=22500, lr=0.106500, batch loss=0.021653, epoch loss=0.237309 Batch=959, step=22560, lr=0.106250, batch loss=0.010655, epoch loss=0.247965 Batch=1019, step=22620, lr=0.106000, batch loss=0.010279, epoch loss=0.258244 Batch=1079, step=22680, lr=0.105750, batch loss=0.000216, epoch loss=0.258460 Batch=1139, step=22740, lr=0.105500, batch loss=0.010936, epoch loss=0.269396 Batch=1199, step=22800, lr=0.105000, batch loss=0.004347, epoch loss=0.273742 Epoch=18, step=22800, lr=0.105000, epoch loss=0.273742 Batch=59, step=22860, lr=0.105000, batch loss=0.001541, epoch loss=0.001541 Batch=119, step=22920, lr=0.104750, batch loss=0.005577, epoch loss=0.007117 Batch=179, step=22980, lr=0.104250, batch loss=0.010859, epoch loss=0.017976 Batch=239, step=23040, lr=0.104000, batch loss=0.009629, epoch loss=0.027605 Batch=299, step=23100, lr=0.104000, batch loss=0.011096, epoch loss=0.038701 Batch=359, step=23160, lr=0.103750, batch loss=0.011510, epoch loss=0.050211 Batch=419, step=23220, lr=0.103250, batch loss=0.011107, epoch loss=0.061318 Batch=479, step=23280, lr=0.103250, batch loss=0.002505, epoch loss=0.063823 Batch=539, step=23340, lr=0.103000, batch loss=0.016398, epoch loss=0.080220 Batch=599, step=23400, lr=0.102500, batch loss=0.013864, epoch loss=0.094085 Batch=659, step=23460, lr=0.102500, batch loss=0.011804, epoch loss=0.105888 Batch=719, step=23520, lr=0.102250, batch loss=0.011381, epoch loss=0.117269 Batch=779, step=23580, lr=0.102000, batch loss=0.018781, epoch loss=0.136050 Batch=839, step=23640, lr=0.101750, batch loss=0.029596, epoch loss=0.165647 Batch=899, step=23700, lr=0.101500, batch loss=0.020762, epoch loss=0.186409 Batch=959, step=23760, lr=0.101250, batch loss=0.009789, epoch loss=0.196198 Batch=1019, step=23820, lr=0.101000, batch loss=0.007850, epoch loss=0.204048 Batch=1079, step=23880, lr=0.100750, batch loss=0.000495, epoch loss=0.204543 Batch=1139, step=23940, lr=0.100250, batch loss=0.009492, epoch loss=0.214036 Batch=1199, step=24000, lr=0.100250, batch loss=0.004321, epoch loss=0.218357 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218357 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############****************************************.│ │********######*####*********************************###*###*#***********************************....│ │*******######**##**********************************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########**************************........%.│ │******######***********.........%........***************##*#####*************************.....%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*******************........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###*************.............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###*******...............%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 15:06.34 ---> saved as "8f1762426b2250dc130fa2478b9911be0dc5c612de1d2c034bae3d5ec6bcc6c3" Job succeeded 2025-03-21 15:06.35: Job succeeded