2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (linux-x86_64:fedora-41-5.3_opam-2.3) Base: ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925 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:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925 # fedora-41-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo dnf install -y findutils 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:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925-fedora-41-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 14:48.49: Using OBuilder spec: ((from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925) (comment fedora-41-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (network host) (shell "sudo dnf install -y findutils")) (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 14:49.05: Got resource from pool OCluster Building on toxis.caelum.ci.dev HEAD is now at d63fdf0d Expose and test the new unary ops HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests (from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925) 2025-03-21 14:49.28 ---> saved as "189447b5abf4f84b3141564fa16299d77370e888a929cebc6495802de6bce562" /: (comment fedora-41-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (network host) (shell "sudo dnf install -y findutils")) Updating and loading repositories: Fedora 41 - x86_64 - Updates 100% | 103.3 KiB/s | 12.5 KiB | 00m00s Fedora 41 - x86_64 100% | 193.4 KiB/s | 26.5 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 5.1 MiB/s | 4.5 MiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-03-21 14:49.33 ---> saved as "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 14:49.34 ---> saved as "92a7f2480fc833b8b6e6f7c055e96edecd7a23b7a1425abe59b46f58f5769a58" /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 14:50.56 ---> saved as "22323ebe734803b688970a8a4b44abf93aa58863ccedfb0ae4ead813beb5698c" /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 14:50.56 ---> saved as "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 14:50.56 ---> saved as "b766911cfcef799c6c2bb8aec82e30e2bd662c95ed64a05054ff7a173457d537" /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 14:52.06 ---> saved as "ece3a959e2ef17442b29b6ddfc99e8140b85a2f969c4a3b7d543a174bcd5db3d" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 14:52.07 ---> saved as "7e95f06579daf2f8a9f219d2425e561a61d328ab09c027200da74538bbb47901" /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 14:52.11 ---> saved as "c662d6f34b7cc78ea7f9596fd8633c27c714706696abf0deb230179c4f1adb49" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 14:52.11 ---> saved as "555e2af3f1f6b4e33264116930934cc11b3a68e741eb24b68ea3c25a73746872" /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 "yum" "makecache" - Updating and loading repositories: - Repositories loaded. - Metadata cache created. <><> 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 "yum" "install" "-y" "libffi-devel" - Updating and loading repositories: - Repositories loaded. - Package Arch Version Repository Size - Installing: - libffi-devel x86_64 3.4.6-3.fc41 fedora 33.1 KiB - - Transaction Summary: - Installing: 1 package - - Total size of inbound packages is 29 KiB. Need to download 29 KiB. - After this operation, 33 KiB extra will be used (install 33 KiB, remove 0 B). - [1/1] libffi-devel-0:3.4.6-3.fc41.x86_6 100% | 504.6 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 104.2 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 0.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 40.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 463.9 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-03-21 14:52.34 ---> saved as "abdc4c5564966ea384be2de700573543d19e3544adba4f09ce4a49d721c13cd0" /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 dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (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_minidebug.2.1.0 (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 ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> 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 uucp.16.0.0 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> 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.2.1.0 -> 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 14:54.46 ---> saved as "1baad0712f2c318dde6ffa8b7fd7a0bf7af1810e6f813cb83095005a7b19bbed" /src: (copy (src .) (dst /src)) 2025-03-21 14:54.46 ---> saved as "92bcec2daff4c3219f0a24eb4252ae71c7479e4283f584e001f99d74c82aa45d" /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/aa4fc0c037ee221e93e8314f45783d66/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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/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/4d99691d605f424414575a93202f1a68/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197000, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470137, epoch loss=42.961039 Batch=839, step=840, lr=0.196750, batch loss=0.446680, epoch loss=43.407719 Batch=899, step=900, lr=0.196500, batch loss=0.382734, epoch loss=43.790453 Batch=959, step=960, lr=0.196250, batch loss=0.245133, epoch loss=44.035586 Batch=1019, step=1020, lr=0.196000, batch loss=0.466533, epoch loss=44.502120 Batch=1079, step=1080, lr=0.195750, batch loss=0.248776, epoch loss=44.750896 Batch=1139, step=1140, lr=0.195500, batch loss=0.317458, epoch loss=45.068353 Batch=1199, step=1200, lr=0.195250, batch loss=0.263694, epoch loss=45.332047 Epoch=0, step=1200, lr=0.195250, epoch loss=45.332047 Batch=59, step=1260, lr=0.195000, batch loss=0.262144, epoch loss=0.262144 Batch=119, step=1320, lr=0.194750, batch loss=0.205252, epoch loss=0.467396 Batch=179, step=1380, lr=0.194250, batch loss=0.243653, epoch loss=0.711049 Batch=239, step=1440, lr=0.194250, batch loss=0.347896, epoch loss=1.058945 Batch=299, step=1500, lr=0.194000, batch loss=0.247373, epoch loss=1.306318 Batch=359, step=1560, lr=0.193500, batch loss=0.316562, epoch loss=1.622880 Batch=419, step=1620, lr=0.193250, batch loss=0.312730, epoch loss=1.935610 Batch=479, step=1680, lr=0.193250, batch loss=0.276266, epoch loss=2.211876 Batch=539, step=1740, lr=0.192750, batch loss=0.209855, epoch loss=2.421731 Batch=599, step=1800, lr=0.192750, batch loss=0.250341, epoch loss=2.672072 Batch=659, step=1860, lr=0.192500, batch loss=0.367270, epoch loss=3.039342 Batch=719, step=1920, lr=0.192250, batch loss=0.354863, epoch loss=3.394205 Batch=779, step=1980, lr=0.191750, batch loss=0.381434, epoch loss=3.775639 Batch=839, step=2040, lr=0.191500, batch loss=0.339637, epoch loss=4.115276 Batch=899, step=2100, lr=0.191250, batch loss=0.295251, epoch loss=4.410527 Batch=959, step=2160, lr=0.191000, batch loss=0.213922, epoch loss=4.624449 Batch=1019, step=2220, lr=0.190750, batch loss=0.331095, epoch loss=4.955544 Batch=1079, step=2280, lr=0.190500, batch loss=0.207861, epoch loss=5.163405 Batch=1139, step=2340, lr=0.190500, batch loss=0.268722, epoch loss=5.432128 Batch=1199, step=2400, lr=0.190000, batch loss=0.218110, epoch loss=5.650238 Epoch=1, step=2400, lr=0.190000, epoch loss=5.650238 Batch=59, step=2460, lr=0.190000, batch loss=0.229719, epoch loss=0.229719 Batch=119, step=2520, lr=0.189500, batch loss=0.196911, epoch loss=0.426630 Batch=179, step=2580, lr=0.189500, batch loss=0.219786, epoch loss=0.646417 Batch=239, step=2640, lr=0.189250, batch loss=0.326931, epoch loss=0.973348 Batch=299, step=2700, lr=0.189000, batch loss=0.203997, epoch loss=1.177345 Batch=359, step=2760, lr=0.188750, batch loss=0.294118, epoch loss=1.471463 Batch=419, step=2820, lr=0.188500, batch loss=0.283599, epoch loss=1.755062 Batch=479, step=2880, lr=0.188250, batch loss=0.261538, epoch loss=2.016600 Batch=539, step=2940, lr=0.188000, batch loss=0.200366, epoch loss=2.216966 Batch=599, step=3000, lr=0.187750, batch loss=0.244985, epoch loss=2.461951 Batch=659, step=3060, lr=0.187250, batch loss=0.344352, epoch loss=2.806303 Batch=719, step=3120, lr=0.187000, batch loss=0.341453, epoch loss=3.147756 Batch=779, step=3180, lr=0.187000, batch loss=0.366632, epoch loss=3.514388 Batch=839, step=3240, lr=0.186750, batch loss=0.321851, epoch loss=3.836238 Batch=899, step=3300, lr=0.186250, batch loss=0.284395, epoch loss=4.120634 Batch=959, step=3360, lr=0.186000, batch loss=0.215018, epoch loss=4.335652 Batch=1019, step=3420, lr=0.185750, batch loss=0.313501, epoch loss=4.649153 Batch=1079, step=3480, lr=0.185500, batch loss=0.191479, epoch loss=4.840632 Batch=1139, step=3540, lr=0.185250, batch loss=0.232429, epoch loss=5.073061 Batch=1199, step=3600, lr=0.185250, batch loss=0.197729, epoch loss=5.270790 Epoch=2, step=3600, lr=0.185250, epoch loss=5.270790 Batch=59, step=3660, lr=0.184750, batch loss=0.228421, epoch loss=0.228421 Batch=119, step=3720, lr=0.184500, batch loss=0.193540, epoch loss=0.421961 Batch=179, step=3780, lr=0.184500, batch loss=0.210880, epoch loss=0.632841 Batch=239, step=3840, lr=0.184000, batch loss=0.314402, epoch loss=0.947243 Batch=299, step=3900, lr=0.184000, batch loss=0.205613, epoch loss=1.152856 Batch=359, step=3960, lr=0.183750, batch loss=0.280938, epoch loss=1.433794 Batch=419, step=4020, lr=0.183250, batch loss=0.272807, epoch loss=1.706601 Batch=479, step=4080, lr=0.183000, batch loss=0.253444, epoch loss=1.960045 Batch=539, step=4140, lr=0.182750, batch loss=0.196212, epoch loss=2.156257 Batch=599, step=4200, lr=0.182500, batch loss=0.242373, epoch loss=2.398630 Batch=659, step=4260, lr=0.182250, batch loss=0.328133, epoch loss=2.726764 Batch=719, step=4320, lr=0.182000, batch loss=0.325495, epoch loss=3.052258 Batch=779, step=4380, lr=0.182000, batch loss=0.353091, epoch loss=3.405349 Batch=839, step=4440, lr=0.181750, batch loss=0.316353, epoch loss=3.721703 Batch=899, step=4500, lr=0.181500, batch loss=0.282901, epoch loss=4.004604 Batch=959, step=4560, lr=0.181250, batch loss=0.230398, epoch loss=4.235002 Batch=1019, step=4620, lr=0.181000, batch loss=0.335231, epoch loss=4.570233 Batch=1079, step=4680, lr=0.180500, batch loss=0.212127, epoch loss=4.782360 Batch=1139, step=4740, lr=0.180500, batch loss=0.250229, epoch loss=5.032589 Batch=1199, step=4800, lr=0.180250, batch loss=0.190680, epoch loss=5.223269 Epoch=3, step=4800, lr=0.180250, epoch loss=5.223269 Batch=59, step=4860, lr=0.180000, batch loss=0.224568, epoch loss=0.224568 Batch=119, step=4920, lr=0.179750, batch loss=0.187363, epoch loss=0.411931 Batch=179, step=4980, lr=0.179500, batch loss=0.206596, epoch loss=0.618526 Batch=239, step=5040, lr=0.179000, batch loss=0.308534, epoch loss=0.927060 Batch=299, step=5100, lr=0.178750, batch loss=0.209243, epoch loss=1.136303 Batch=359, step=5160, lr=0.178750, batch loss=0.275638, epoch loss=1.411941 Batch=419, step=5220, lr=0.178500, batch loss=0.273993, epoch loss=1.685934 Batch=479, step=5280, lr=0.178250, batch loss=0.247901, epoch loss=1.933835 Batch=539, step=5340, lr=0.178000, batch loss=0.198763, epoch loss=2.132598 Batch=599, step=5400, lr=0.177750, batch loss=0.238665, epoch loss=2.371263 Batch=659, step=5460, lr=0.177500, batch loss=0.320824, epoch loss=2.692087 Batch=719, step=5520, lr=0.177250, batch loss=0.326323, epoch loss=3.018410 Batch=779, step=5580, lr=0.177000, batch loss=0.343868, epoch loss=3.362278 Batch=839, step=5640, lr=0.176750, batch loss=0.310214, epoch loss=3.672491 Batch=899, step=5700, lr=0.176500, batch loss=0.273243, epoch loss=3.945735 Batch=959, step=5760, lr=0.176250, batch loss=0.214905, epoch loss=4.160640 Batch=1019, step=5820, lr=0.176000, batch loss=0.340731, epoch loss=4.501371 Batch=1079, step=5880, lr=0.175500, batch loss=0.205876, epoch loss=4.707247 Batch=1139, step=5940, lr=0.175500, batch loss=0.240297, epoch loss=4.947544 Batch=1199, step=6000, lr=0.175250, batch loss=0.187837, epoch loss=5.135382 Epoch=4, step=6000, lr=0.175250, epoch loss=5.135382 Batch=59, step=6060, lr=0.175000, batch loss=0.229936, epoch loss=0.229936 Batch=119, step=6120, lr=0.174750, batch loss=0.188243, epoch loss=0.418179 Batch=179, step=6180, lr=0.174500, batch loss=0.202526, epoch loss=0.620705 Batch=239, step=6240, lr=0.174250, batch loss=0.303631, epoch loss=0.924336 Batch=299, step=6300, lr=0.174000, batch loss=0.203291, epoch loss=1.127627 Batch=359, step=6360, lr=0.173750, batch loss=0.267015, epoch loss=1.394642 Batch=419, step=6420, lr=0.173250, batch loss=0.265797, epoch loss=1.660438 Batch=479, step=6480, lr=0.173250, batch loss=0.243438, epoch loss=1.903877 Batch=539, step=6540, lr=0.173000, batch loss=0.192800, epoch loss=2.096677 Batch=599, step=6600, lr=0.172750, batch loss=0.228325, epoch loss=2.325002 Batch=659, step=6660, lr=0.172500, batch loss=0.314616, epoch loss=2.639617 Batch=719, step=6720, lr=0.172250, batch loss=0.317349, epoch loss=2.956967 Batch=779, step=6780, lr=0.172000, batch loss=0.332052, epoch loss=3.289019 Batch=839, step=6840, lr=0.171500, batch loss=0.306907, epoch loss=3.595927 Batch=899, step=6900, lr=0.171250, batch loss=0.269938, epoch loss=3.865865 Batch=959, step=6960, lr=0.171250, batch loss=0.206794, epoch loss=4.072659 Batch=1019, step=7020, lr=0.171000, batch loss=0.327384, epoch loss=4.400043 Batch=1079, step=7080, lr=0.170750, batch loss=0.184444, epoch loss=4.584487 Batch=1139, step=7140, lr=0.170500, batch loss=0.215617, epoch loss=4.800104 Batch=1199, step=7200, lr=0.170250, batch loss=0.181968, epoch loss=4.982072 Epoch=5, step=7200, lr=0.170250, epoch loss=4.982072 Batch=59, step=7260, lr=0.169750, batch loss=0.228686, epoch loss=0.228686 Batch=119, step=7320, lr=0.169750, batch loss=0.188014, epoch loss=0.416700 Batch=179, step=7380, lr=0.169250, batch loss=0.195471, epoch loss=0.612171 Batch=239, step=7440, lr=0.169250, batch loss=0.293567, epoch loss=0.905738 Batch=299, step=7500, lr=0.169000, batch loss=0.205923, epoch loss=1.111661 Batch=359, step=7560, lr=0.168500, batch loss=0.262979, epoch loss=1.374640 Batch=419, step=7620, lr=0.168250, batch loss=0.254059, epoch loss=1.628699 Batch=479, step=7680, lr=0.168250, batch loss=0.232945, epoch loss=1.861644 Batch=539, step=7740, lr=0.168000, batch loss=0.183899, epoch loss=2.045543 Batch=599, step=7800, lr=0.167750, batch loss=0.218958, epoch loss=2.264502 Batch=659, step=7860, lr=0.167500, batch loss=0.306332, epoch loss=2.570834 Batch=719, step=7920, lr=0.167000, batch loss=0.308066, epoch loss=2.878900 Batch=779, step=7980, lr=0.167000, batch loss=0.321251, epoch loss=3.200151 Batch=839, step=8040, lr=0.166750, batch loss=0.296872, epoch loss=3.497023 Batch=899, step=8100, lr=0.166250, batch loss=0.263496, epoch loss=3.760519 Batch=959, step=8160, lr=0.166250, batch loss=0.209415, epoch loss=3.969934 Batch=1019, step=8220, lr=0.165750, batch loss=0.318352, epoch loss=4.288286 Batch=1079, step=8280, lr=0.165750, batch loss=0.169481, epoch loss=4.457768 Batch=1139, step=8340, lr=0.165500, batch loss=0.207674, epoch loss=4.665442 Batch=1199, step=8400, lr=0.165250, batch loss=0.179733, epoch loss=4.845174 Epoch=6, step=8400, lr=0.165250, epoch loss=4.845174 Batch=59, step=8460, lr=0.165000, batch loss=0.226393, epoch loss=0.226393 Batch=119, step=8520, lr=0.164750, batch loss=0.177971, epoch loss=0.404364 Batch=179, step=8580, lr=0.164500, batch loss=0.187145, epoch loss=0.591508 Batch=239, step=8640, lr=0.164250, batch loss=0.276973, epoch loss=0.868482 Batch=299, step=8700, lr=0.164000, batch loss=0.184757, epoch loss=1.053238 Batch=359, step=8760, lr=0.163750, batch loss=0.248485, epoch loss=1.301724 Batch=419, step=8820, lr=0.163500, batch loss=0.244807, epoch loss=1.546530 Batch=479, step=8880, lr=0.163250, batch loss=0.227846, epoch loss=1.774376 Batch=539, step=8940, lr=0.163000, batch loss=0.180350, epoch loss=1.954726 Batch=599, step=9000, lr=0.162750, batch loss=0.216459, epoch loss=2.171185 Batch=659, step=9060, lr=0.162250, batch loss=0.294297, epoch loss=2.465482 Batch=719, step=9120, lr=0.162000, batch loss=0.295522, epoch loss=2.761004 Batch=779, step=9180, lr=0.162000, batch loss=0.316279, epoch loss=3.077283 Batch=839, step=9240, lr=0.161750, batch loss=0.286943, epoch loss=3.364226 Batch=899, step=9300, lr=0.161500, batch loss=0.250559, epoch loss=3.614784 Batch=959, step=9360, lr=0.161250, batch loss=0.190097, epoch loss=3.804882 Batch=1019, step=9420, lr=0.161000, batch loss=0.311376, epoch loss=4.116258 Batch=1079, step=9480, lr=0.160750, batch loss=0.188581, epoch loss=4.304839 Batch=1139, step=9540, lr=0.160250, batch loss=0.211887, epoch loss=4.516726 Batch=1199, step=9600, lr=0.160000, batch loss=0.165931, epoch loss=4.682657 Epoch=7, step=9600, lr=0.160000, epoch loss=4.682657 Batch=59, step=9660, lr=0.160000, batch loss=0.202259, epoch loss=0.202259 Batch=119, step=9720, lr=0.159500, batch loss=0.169637, epoch loss=0.371896 Batch=179, step=9780, lr=0.159500, batch loss=0.179924, epoch loss=0.551820 Batch=239, step=9840, lr=0.159250, batch loss=0.261823, epoch loss=0.813643 Batch=299, step=9900, lr=0.159000, batch loss=0.183808, epoch loss=0.997451 Batch=359, step=9960, lr=0.158750, batch loss=0.241919, epoch loss=1.239370 Batch=419, step=10020, lr=0.158500, batch loss=0.233810, epoch loss=1.473180 Batch=479, step=10080, lr=0.158000, batch loss=0.220062, epoch loss=1.693241 Batch=539, step=10140, lr=0.158000, batch loss=0.169832, epoch loss=1.863073 Batch=599, step=10200, lr=0.157750, batch loss=0.202683, epoch loss=2.065756 Batch=659, step=10260, lr=0.157500, batch loss=0.281077, epoch loss=2.346833 Batch=719, step=10320, lr=0.157250, batch loss=0.287088, epoch loss=2.633921 Batch=779, step=10380, lr=0.157000, batch loss=0.295013, epoch loss=2.928935 Batch=839, step=10440, lr=0.156500, batch loss=0.266411, epoch loss=3.195345 Batch=899, step=10500, lr=0.156250, batch loss=0.241898, epoch loss=3.437243 Batch=959, step=10560, lr=0.156250, batch loss=0.196632, epoch loss=3.633875 Batch=1019, step=10620, lr=0.155750, batch loss=0.280880, epoch loss=3.914755 Batch=1079, step=10680, lr=0.155500, batch loss=0.175157, epoch loss=4.089912 Batch=1139, step=10740, lr=0.155500, batch loss=0.202195, epoch loss=4.292107 Batch=1199, step=10800, lr=0.155000, batch loss=0.154100, epoch loss=4.446207 Epoch=8, step=10800, lr=0.155000, epoch loss=4.446207 Batch=59, step=10860, lr=0.154750, batch loss=0.178091, epoch loss=0.178091 Batch=119, step=10920, lr=0.154750, batch loss=0.151633, epoch loss=0.329725 Batch=179, step=10980, lr=0.154500, batch loss=0.166502, epoch loss=0.496226 Batch=239, step=11040, lr=0.154000, batch loss=0.245810, epoch loss=0.742036 Batch=299, step=11100, lr=0.154000, batch loss=0.158691, epoch loss=0.900727 Batch=359, step=11160, lr=0.153750, batch loss=0.213349, epoch loss=1.114076 Batch=419, step=11220, lr=0.153500, batch loss=0.207700, epoch loss=1.321776 Batch=479, step=11280, lr=0.153250, batch loss=0.194303, epoch loss=1.516079 Batch=539, step=11340, lr=0.152750, batch loss=0.156796, epoch loss=1.672874 Batch=599, step=11400, lr=0.152500, batch loss=0.177504, epoch loss=1.850378 Batch=659, step=11460, lr=0.152250, batch loss=0.263122, epoch loss=2.113500 Batch=719, step=11520, lr=0.152250, batch loss=0.263262, epoch loss=2.376763 Batch=779, step=11580, lr=0.151750, batch loss=0.270625, epoch loss=2.647388 Batch=839, step=11640, lr=0.151500, batch loss=0.249819, epoch loss=2.897207 Batch=899, step=11700, lr=0.151250, batch loss=0.217456, epoch loss=3.114662 Batch=959, step=11760, lr=0.151000, batch loss=0.190288, epoch loss=3.304950 Batch=1019, step=11820, lr=0.151000, batch loss=0.290499, epoch loss=3.595449 Batch=1079, step=11880, lr=0.150500, batch loss=0.149457, epoch loss=3.744906 Batch=1139, step=11940, lr=0.150500, batch loss=0.187359, epoch loss=3.932265 Batch=1199, step=12000, lr=0.150250, batch loss=0.138357, epoch loss=4.070622 Epoch=9, step=12000, lr=0.150250, epoch loss=4.070622 Batch=59, step=12060, lr=0.149750, batch loss=0.156350, epoch loss=0.156350 Batch=119, step=12120, lr=0.149500, batch loss=0.126604, epoch loss=0.282954 Batch=179, step=12180, lr=0.149500, batch loss=0.150734, epoch loss=0.433688 Batch=239, step=12240, lr=0.149000, batch loss=0.220750, epoch loss=0.654438 Batch=299, step=12300, lr=0.148750, batch loss=0.142519, epoch loss=0.796957 Batch=359, step=12360, lr=0.148750, batch loss=0.194400, epoch loss=0.991358 Batch=419, step=12420, lr=0.148250, batch loss=0.206627, epoch loss=1.197985 Batch=479, step=12480, lr=0.148000, batch loss=0.177365, epoch loss=1.375350 Batch=539, step=12540, lr=0.147750, batch loss=0.142651, epoch loss=1.518001 Batch=599, step=12600, lr=0.147500, batch loss=0.153113, epoch loss=1.671114 Batch=659, step=12660, lr=0.147250, batch loss=0.233159, epoch loss=1.904273 Batch=719, step=12720, lr=0.147000, batch loss=0.232777, epoch loss=2.137050 Batch=779, step=12780, lr=0.147000, batch loss=0.259995, epoch loss=2.397045 Batch=839, step=12840, lr=0.146500, batch loss=0.230168, epoch loss=2.627213 Batch=899, step=12900, lr=0.146250, batch loss=0.208417, epoch loss=2.835630 Batch=959, step=12960, lr=0.146000, batch loss=0.156265, epoch loss=2.991895 Batch=1019, step=13020, lr=0.146000, batch loss=0.257014, epoch loss=3.248909 Batch=1079, step=13080, lr=0.145500, batch loss=0.115802, epoch loss=3.364711 Batch=1139, step=13140, lr=0.145250, batch loss=0.153102, epoch loss=3.517813 Batch=1199, step=13200, lr=0.145250, batch loss=0.116845, epoch loss=3.634658 Epoch=10, step=13200, lr=0.145250, epoch loss=3.634658 Batch=59, step=13260, lr=0.145000, batch loss=0.144085, epoch loss=0.144085 Batch=119, step=13320, lr=0.144500, batch loss=0.123946, epoch loss=0.268031 Batch=179, step=13380, lr=0.144250, batch loss=0.129950, epoch loss=0.397982 Batch=239, step=13440, lr=0.144000, batch loss=0.189553, epoch loss=0.587535 Batch=299, step=13500, lr=0.143750, batch loss=0.110664, epoch loss=0.698199 Batch=359, step=13560, lr=0.143750, batch loss=0.161722, epoch loss=0.859921 Batch=419, step=13620, lr=0.143250, batch loss=0.159732, epoch loss=1.019653 Batch=479, step=13680, lr=0.143250, batch loss=0.146005, epoch loss=1.165659 Batch=539, step=13740, lr=0.143000, batch loss=0.116029, epoch loss=1.281687 Batch=599, step=13800, lr=0.142500, batch loss=0.119146, epoch loss=1.400834 Batch=659, step=13860, lr=0.142500, batch loss=0.175339, epoch loss=1.576173 Batch=719, step=13920, lr=0.142250, batch loss=0.171729, epoch loss=1.747902 Batch=779, step=13980, lr=0.141750, batch loss=0.177817, epoch loss=1.925719 Batch=839, step=14040, lr=0.141750, batch loss=0.201017, epoch loss=2.126736 Batch=899, step=14100, lr=0.141250, batch loss=0.221653, epoch loss=2.348389 Batch=959, step=14160, lr=0.141000, batch loss=0.107622, epoch loss=2.456011 Batch=1019, step=14220, lr=0.140750, batch loss=0.187749, epoch loss=2.643760 Batch=1079, step=14280, lr=0.140500, batch loss=0.083377, epoch loss=2.727137 Batch=1139, step=14340, lr=0.140250, batch loss=0.137799, epoch loss=2.864936 Batch=1199, step=14400, lr=0.140250, batch loss=0.087504, epoch loss=2.952440 Epoch=11, step=14400, lr=0.140250, epoch loss=2.952440 Batch=59, step=14460, lr=0.139750, batch loss=0.112882, epoch loss=0.112882 Batch=119, step=14520, lr=0.139500, batch loss=0.108906, epoch loss=0.221788 Batch=179, step=14580, lr=0.139250, batch loss=0.102742, epoch loss=0.324529 Batch=239, step=14640, lr=0.139000, batch loss=0.136841, epoch loss=0.461371 Batch=299, step=14700, lr=0.138750, batch loss=0.080949, epoch loss=0.542319 Batch=359, step=14760, lr=0.138500, batch loss=0.130053, epoch loss=0.672372 Batch=419, step=14820, lr=0.138500, batch loss=0.157184, epoch loss=0.829556 Batch=479, step=14880, lr=0.138250, batch loss=0.084541, epoch loss=0.914097 Batch=539, step=14940, lr=0.138000, batch loss=0.067667, epoch loss=0.981763 Batch=599, step=15000, lr=0.137750, batch loss=0.089025, epoch loss=1.070789 Batch=659, step=15060, lr=0.137500, batch loss=0.165056, epoch loss=1.235845 Batch=719, step=15120, lr=0.137250, batch loss=0.137019, epoch loss=1.372864 Batch=779, step=15180, lr=0.136750, batch loss=0.197003, epoch loss=1.569867 Batch=839, step=15240, lr=0.136500, batch loss=0.152985, epoch loss=1.722852 Batch=899, step=15300, lr=0.136250, batch loss=0.159628, epoch loss=1.882480 Batch=959, step=15360, lr=0.136250, batch loss=0.075608, epoch loss=1.958088 Batch=1019, step=15420, lr=0.136000, batch loss=0.164105, epoch loss=2.122193 Batch=1079, step=15480, lr=0.135500, batch loss=0.039449, epoch loss=2.161643 Batch=1139, step=15540, lr=0.135250, batch loss=0.093994, epoch loss=2.255636 Batch=1199, step=15600, lr=0.135250, batch loss=0.055283, epoch loss=2.310919 Epoch=12, step=15600, lr=0.135250, epoch loss=2.310919 Batch=59, step=15660, lr=0.135000, batch loss=0.079871, epoch loss=0.079871 Batch=119, step=15720, lr=0.134500, batch loss=0.136828, epoch loss=0.216699 Batch=179, step=15780, lr=0.134500, batch loss=0.095390, epoch loss=0.312089 Batch=239, step=15840, lr=0.134250, batch loss=0.093728, epoch loss=0.405817 Batch=299, step=15900, lr=0.134000, batch loss=0.044201, epoch loss=0.450018 Batch=359, step=15960, lr=0.133500, batch loss=0.077747, epoch loss=0.527765 Batch=419, step=16020, lr=0.133500, batch loss=0.082297, epoch loss=0.610062 Batch=479, step=16080, lr=0.133000, batch loss=0.068591, epoch loss=0.678653 Batch=539, step=16140, lr=0.132750, batch loss=0.052483, epoch loss=0.731136 Batch=599, step=16200, lr=0.132500, batch loss=0.097444, epoch loss=0.828580 Batch=659, step=16260, lr=0.132250, batch loss=0.075619, epoch loss=0.904199 Batch=719, step=16320, lr=0.132000, batch loss=0.067980, epoch loss=0.972179 Batch=779, step=16380, lr=0.131750, batch loss=0.083033, epoch loss=1.055212 Batch=839, step=16440, lr=0.131750, batch loss=0.106301, epoch loss=1.161513 Batch=899, step=16500, lr=0.131500, batch loss=0.164727, epoch loss=1.326241 Batch=959, step=16560, lr=0.131250, batch loss=0.045813, epoch loss=1.372054 Batch=1019, step=16620, lr=0.131000, batch loss=0.119195, epoch loss=1.491249 Batch=1079, step=16680, lr=0.130750, batch loss=0.021825, epoch loss=1.513074 Batch=1139, step=16740, lr=0.130500, batch loss=0.050663, epoch loss=1.563737 Batch=1199, step=16800, lr=0.130000, batch loss=0.026723, epoch loss=1.590460 Epoch=13, step=16800, lr=0.130000, epoch loss=1.590460 Batch=59, step=16860, lr=0.129750, batch loss=0.033749, epoch loss=0.033749 Batch=119, step=16920, lr=0.129500, batch loss=0.050760, epoch loss=0.084509 Batch=179, step=16980, lr=0.129250, batch loss=0.045152, epoch loss=0.129661 Batch=239, step=17040, lr=0.129250, batch loss=0.071952, epoch loss=0.201612 Batch=299, step=17100, lr=0.128750, batch loss=0.079094, epoch loss=0.280706 Batch=359, step=17160, lr=0.128500, batch loss=0.051709, epoch loss=0.332415 Batch=419, step=17220, lr=0.128500, batch loss=0.052840, epoch loss=0.385255 Batch=479, step=17280, lr=0.128000, batch loss=0.026573, epoch loss=0.411828 Batch=539, step=17340, lr=0.127750, batch loss=0.033265, epoch loss=0.445093 Batch=599, step=17400, lr=0.127500, batch loss=0.033727, epoch loss=0.478820 Batch=659, step=17460, lr=0.127250, batch loss=0.045707, epoch loss=0.524527 Batch=719, step=17520, lr=0.127000, batch loss=0.053596, epoch loss=0.578122 Batch=779, step=17580, lr=0.127000, batch loss=0.136148, epoch loss=0.714270 Batch=839, step=17640, lr=0.126750, batch loss=0.105527, epoch loss=0.819797 Batch=899, step=17700, lr=0.126250, batch loss=0.149126, epoch loss=0.968923 Batch=959, step=17760, lr=0.126250, batch loss=0.019774, epoch loss=0.988697 Batch=1019, step=17820, lr=0.125750, batch loss=0.034247, epoch loss=1.022943 Batch=1079, step=17880, lr=0.125500, batch loss=0.009513, epoch loss=1.032456 Batch=1139, step=17940, lr=0.125250, batch loss=0.029854, epoch loss=1.062310 Batch=1199, step=18000, lr=0.125000, batch loss=0.013861, epoch loss=1.076171 Epoch=14, step=18000, lr=0.125000, epoch loss=1.076171 Batch=59, step=18060, lr=0.124750, batch loss=0.011203, epoch loss=0.011203 Batch=119, step=18120, lr=0.124500, batch loss=0.018646, epoch loss=0.029849 Batch=179, step=18180, lr=0.124500, batch loss=0.031009, epoch loss=0.060858 Batch=239, step=18240, lr=0.124000, batch loss=0.034620, epoch loss=0.095479 Batch=299, step=18300, lr=0.124000, batch loss=0.009625, epoch loss=0.105103 Batch=359, step=18360, lr=0.123500, batch loss=0.022332, epoch loss=0.127435 Batch=419, step=18420, lr=0.123250, batch loss=0.025681, epoch loss=0.153116 Batch=479, step=18480, lr=0.123000, batch loss=0.010187, epoch loss=0.163303 Batch=539, step=18540, lr=0.122750, batch loss=0.021119, epoch loss=0.184421 Batch=599, step=18600, lr=0.122500, batch loss=0.032049, epoch loss=0.216470 Batch=659, step=18660, lr=0.122250, batch loss=0.024019, epoch loss=0.240490 Batch=719, step=18720, lr=0.122250, batch loss=0.028804, epoch loss=0.269293 Batch=779, step=18780, lr=0.122000, batch loss=0.071150, epoch loss=0.340443 Batch=839, step=18840, lr=0.121500, batch loss=0.133125, epoch loss=0.473568 Batch=899, step=18900, lr=0.121250, batch loss=0.035452, epoch loss=0.509019 Batch=959, step=18960, lr=0.121250, batch loss=0.013655, epoch loss=0.522675 Batch=1019, step=19020, lr=0.121000, batch loss=0.024649, epoch loss=0.547323 Batch=1079, step=19080, lr=0.120750, batch loss=0.009138, epoch loss=0.556461 Batch=1139, step=19140, lr=0.120500, batch loss=0.023093, epoch loss=0.579553 Batch=1199, step=19200, lr=0.120250, batch loss=0.010937, epoch loss=0.590491 Epoch=15, step=19200, lr=0.120250, epoch loss=0.590491 Batch=59, step=19260, lr=0.120000, batch loss=0.005191, epoch loss=0.005191 Batch=119, step=19320, lr=0.119500, batch loss=0.015264, epoch loss=0.020455 Batch=179, step=19380, lr=0.119250, batch loss=0.039808, epoch loss=0.060263 Batch=239, step=19440, lr=0.119250, batch loss=0.022173, epoch loss=0.082436 Batch=299, step=19500, lr=0.119000, batch loss=0.004915, epoch loss=0.087351 Batch=359, step=19560, lr=0.118500, batch loss=0.018016, epoch loss=0.105368 Batch=419, step=19620, lr=0.118250, batch loss=0.018409, epoch loss=0.123776 Batch=479, step=19680, lr=0.118000, batch loss=0.006473, epoch loss=0.130249 Batch=539, step=19740, lr=0.117750, batch loss=0.016282, epoch loss=0.146531 Batch=599, step=19800, lr=0.117500, batch loss=0.022476, epoch loss=0.169007 Batch=659, step=19860, lr=0.117500, batch loss=0.017575, epoch loss=0.186582 Batch=719, step=19920, lr=0.117000, batch loss=0.040718, epoch loss=0.227300 Batch=779, step=19980, lr=0.116750, batch loss=0.077120, epoch loss=0.304420 Batch=839, step=20040, lr=0.116750, batch loss=0.031708, epoch loss=0.336128 Batch=899, step=20100, lr=0.116250, batch loss=0.027853, epoch loss=0.363981 Batch=959, step=20160, lr=0.116250, batch loss=0.011606, epoch loss=0.375587 Batch=1019, step=20220, lr=0.116000, batch loss=0.015876, epoch loss=0.391464 Batch=1079, step=20280, lr=0.115500, batch loss=0.002273, epoch loss=0.393737 Batch=1139, step=20340, lr=0.115500, batch loss=0.014453, epoch loss=0.408189 Batch=1199, step=20400, lr=0.115250, batch loss=0.005987, epoch loss=0.414177 Epoch=16, step=20400, lr=0.115250, epoch loss=0.414177 Batch=59, step=20460, lr=0.115000, batch loss=0.003443, epoch loss=0.003443 Batch=119, step=20520, lr=0.114750, batch loss=0.008352, epoch loss=0.011796 Batch=179, step=20580, lr=0.114500, batch loss=0.017715, epoch loss=0.029511 Batch=239, step=20640, lr=0.114000, batch loss=0.025258, epoch loss=0.054768 Batch=299, step=20700, lr=0.114000, batch loss=0.019120, epoch loss=0.073889 Batch=359, step=20760, lr=0.113500, batch loss=0.019067, epoch loss=0.092956 Batch=419, step=20820, lr=0.113250, batch loss=0.015240, epoch loss=0.108195 Batch=479, step=20880, lr=0.113250, batch loss=0.003120, epoch loss=0.111316 Batch=539, step=20940, lr=0.113000, batch loss=0.018030, epoch loss=0.129346 Batch=599, step=21000, lr=0.112750, batch loss=0.021688, epoch loss=0.151034 Batch=659, step=21060, lr=0.112500, batch loss=0.015353, epoch loss=0.166387 Batch=719, step=21120, lr=0.112250, batch loss=0.038800, epoch loss=0.205186 Batch=779, step=21180, lr=0.112000, batch loss=0.073627, epoch loss=0.278814 Batch=839, step=21240, lr=0.111750, batch loss=0.026021, epoch loss=0.304834 Batch=899, step=21300, lr=0.111500, batch loss=0.036227, epoch loss=0.341062 Batch=959, step=21360, lr=0.111250, batch loss=0.010476, epoch loss=0.351538 Batch=1019, step=21420, lr=0.110750, batch loss=0.010677, epoch loss=0.362215 Batch=1079, step=21480, lr=0.110750, batch loss=0.001192, epoch loss=0.363407 Batch=1139, step=21540, lr=0.110500, batch loss=0.013135, epoch loss=0.376541 Batch=1199, step=21600, lr=0.110250, batch loss=0.005306, epoch loss=0.381847 Epoch=17, step=21600, lr=0.110250, epoch loss=0.381847 Batch=59, step=21660, lr=0.110000, batch loss=0.002149, epoch loss=0.002149 Batch=119, step=21720, lr=0.109500, batch loss=0.006607, epoch loss=0.008756 Batch=179, step=21780, lr=0.109250, batch loss=0.012895, epoch loss=0.021652 Batch=239, step=21840, lr=0.109250, batch loss=0.011089, epoch loss=0.032740 Batch=299, step=21900, lr=0.109000, batch loss=0.011420, epoch loss=0.044160 Batch=359, step=21960, lr=0.108750, batch loss=0.013471, epoch loss=0.057632 Batch=419, step=22020, lr=0.108500, batch loss=0.012690, epoch loss=0.070322 Batch=479, step=22080, lr=0.108000, batch loss=0.002626, epoch loss=0.072948 Batch=539, step=22140, lr=0.108000, batch loss=0.018009, epoch loss=0.090957 Batch=599, step=22200, lr=0.107500, batch loss=0.017580, epoch loss=0.108537 Batch=659, step=22260, lr=0.107500, batch loss=0.016120, epoch loss=0.124657 Batch=719, step=22320, lr=0.107250, batch loss=0.021851, epoch loss=0.146509 Batch=779, step=22380, lr=0.106750, batch loss=0.030048, epoch loss=0.176556 Batch=839, step=22440, lr=0.106500, batch loss=0.029995, epoch loss=0.206551 Batch=899, step=22500, lr=0.106500, batch loss=0.023902, epoch loss=0.230452 Batch=959, step=22560, lr=0.106250, batch loss=0.011097, epoch loss=0.241549 Batch=1019, step=22620, lr=0.106000, batch loss=0.013612, epoch loss=0.255161 Batch=1079, step=22680, lr=0.105750, batch loss=0.001581, epoch loss=0.256742 Batch=1139, step=22740, lr=0.105500, batch loss=0.010524, epoch loss=0.267267 Batch=1199, step=22800, lr=0.105250, batch loss=0.005752, epoch loss=0.273019 Epoch=18, step=22800, lr=0.105250, epoch loss=0.273019 Batch=59, step=22860, lr=0.105000, batch loss=0.002747, epoch loss=0.002747 Batch=119, step=22920, lr=0.104500, batch loss=0.004724, epoch loss=0.007471 Batch=179, step=22980, lr=0.104250, batch loss=0.013455, epoch loss=0.020926 Batch=239, step=23040, lr=0.104250, batch loss=0.008848, epoch loss=0.029773 Batch=299, step=23100, lr=0.103750, batch loss=0.003690, epoch loss=0.033463 Batch=359, step=23160, lr=0.103500, batch loss=0.012248, epoch loss=0.045711 Batch=419, step=23220, lr=0.103500, batch loss=0.010942, epoch loss=0.056653 Batch=479, step=23280, lr=0.103250, batch loss=0.003373, epoch loss=0.060026 Batch=539, step=23340, lr=0.103000, batch loss=0.015378, epoch loss=0.075404 Batch=599, step=23400, lr=0.102750, batch loss=0.013661, epoch loss=0.089065 Batch=659, step=23460, lr=0.102250, batch loss=0.012174, epoch loss=0.101239 Batch=719, step=23520, lr=0.102000, batch loss=0.017252, epoch loss=0.118491 Batch=779, step=23580, lr=0.101750, batch loss=0.019800, epoch loss=0.138291 Batch=839, step=23640, lr=0.101750, batch loss=0.024864, epoch loss=0.163155 Batch=899, step=23700, lr=0.101250, batch loss=0.022640, epoch loss=0.185795 Batch=959, step=23760, lr=0.101000, batch loss=0.007864, epoch loss=0.193659 Batch=1019, step=23820, lr=0.100750, batch loss=0.008405, epoch loss=0.202064 Batch=1079, step=23880, lr=0.100500, batch loss=0.001705, epoch loss=0.203769 Batch=1139, step=23940, lr=0.100500, batch loss=0.007977, epoch loss=0.211747 Batch=1199, step=24000, lr=0.100000, batch loss=0.004792, epoch loss=0.216538 Epoch=19, step=24000, lr=0.100000, epoch loss=0.216538 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................**................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 14:56.09 ---> saved as "988674ed3c1c2eccb2aa4e2486506fac7655e7967ff7ab2f25b38a72bb6f81a7" Job succeeded 2025-03-21 14:56.10: Job succeeded