2025-03-21 16:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (151162601bc8b3df560578aa1056d12d2dcb7acf) (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 15116260 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 16:19.55: 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 16:19.55: 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 16:19.55: Waiting for resource in pool OCluster 2025-03-21 16:19.55: Waiting for worker… 2025-03-21 16:20.06: Got resource from pool OCluster Building on toxis.caelum.ci.dev HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN) HEAD is now at 15116260 Differentiable conditional -> piecewise-defined functions (from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925) 2025-03-21 16:20.28 ---> 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% | 187.5 KiB/s | 24.2 KiB | 00m00s Fedora 41 - x86_64 100% | 150.5 KiB/s | 26.5 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 4.2 MiB/s | 4.4 MiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-03-21 16:20.33 ---> saved as "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 16:20.33 ---> 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 16:22.00 ---> 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 16:22.00 ---> saved as "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 16:22.00 ---> 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 16:23.28 ---> saved as "ece3a959e2ef17442b29b6ddfc99e8140b85a2f969c4a3b7d543a174bcd5db3d" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 16:23.29 ---> 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 16:23.33 ---> saved as "c662d6f34b7cc78ea7f9596fd8633c27c714706696abf0deb230179c4f1adb49" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 16:23.33 ---> 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% | 487.5 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 137.0 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 1.0 KiB/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 20.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 328.2 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 16:24.10 ---> 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 ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> 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 printbox.0.12 -> installed backoff.0.1.1 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed integers.0.7.0 -> 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 fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed ctypes-foreign.0.23.0 -> 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_deriving.6.0.3 -> installed ppx_globalize.v0.17.0 -> 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 16:27.37 ---> saved as "1baad0712f2c318dde6ffa8b7fd7a0bf7af1810e6f813cb83095005a7b19bbed" /src: (copy (src .) (dst /src)) 2025-03-21 16:27.38 ---> saved as "d1f26551036ef95e9317a8e1978c8b139e3a940b2c2b0f458612bdd191083b52" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed88700ce8eca66c2eaa807eb038958a/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/ed88700ce8eca66c2eaa807eb038958a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed88700ce8eca66c2eaa807eb038958a/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/ed88700ce8eca66c2eaa807eb038958a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed88700ce8eca66c2eaa807eb038958a/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/ed88700ce8eca66c2eaa807eb038958a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed88700ce8eca66c2eaa807eb038958a/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/0e5d4b9a9a3ac81031e44a899e72e550/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ed88700ce8eca66c2eaa807eb038958a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed88700ce8eca66c2eaa807eb038958a/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/ed88700ce8eca66c2eaa807eb038958a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed88700ce8eca66c2eaa807eb038958a/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/ed88700ce8eca66c2eaa807eb038958a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed88700ce8eca66c2eaa807eb038958a/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/ed88700ce8eca66c2eaa807eb038958a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed88700ce8eca66c2eaa807eb038958a/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/ed88700ce8eca66c2eaa807eb038958a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed88700ce8eca66c2eaa807eb038958a/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/ed88700ce8eca66c2eaa807eb038958a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ed88700ce8eca66c2eaa807eb038958a/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/ed88700ce8eca66c2eaa807eb038958a/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=0.199000, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.445660, epoch loss=37.070699 Batch=359, step=360, lr=0.198500, batch loss=1.330503, epoch loss=38.401201 Batch=419, step=420, lr=0.198250, batch loss=0.617268, epoch loss=39.018469 Batch=479, step=480, lr=0.198250, batch loss=0.806908, epoch loss=39.825377 Batch=539, step=540, lr=0.197750, batch loss=0.690578, epoch loss=40.515955 Batch=599, step=600, lr=0.197500, batch loss=1.070360, epoch loss=41.586315 Batch=659, step=660, lr=0.197500, batch loss=0.483038, epoch loss=42.069353 Batch=719, step=720, lr=0.197000, batch loss=0.411283, epoch loss=42.480636 Batch=779, step=780, lr=0.196750, batch loss=0.468928, epoch loss=42.949564 Batch=839, step=840, lr=0.196750, batch loss=0.443355, epoch loss=43.392918 Batch=899, step=900, lr=0.196500, batch loss=0.384157, epoch loss=43.777075 Batch=959, step=960, lr=0.196000, batch loss=0.238502, epoch loss=44.015577 Batch=1019, step=1020, lr=0.195750, batch loss=0.440489, epoch loss=44.456066 Batch=1079, step=1080, lr=0.195500, batch loss=0.230881, epoch loss=44.686947 Batch=1139, step=1140, lr=0.195250, batch loss=0.311797, epoch loss=44.998745 Batch=1199, step=1200, lr=0.195250, batch loss=0.265636, epoch loss=45.264380 Epoch=0, step=1200, lr=0.195250, epoch loss=45.264380 Batch=59, step=1260, lr=0.194750, batch loss=0.261094, epoch loss=0.261094 Batch=119, step=1320, lr=0.194750, batch loss=0.203156, epoch loss=0.464251 Batch=179, step=1380, lr=0.194500, batch loss=0.244214, epoch loss=0.708465 Batch=239, step=1440, lr=0.194250, batch loss=0.346879, epoch loss=1.055344 Batch=299, step=1500, lr=0.194000, batch loss=0.240687, epoch loss=1.296031 Batch=359, step=1560, lr=0.193750, batch loss=0.311923, epoch loss=1.607954 Batch=419, step=1620, lr=0.193500, batch loss=0.310901, epoch loss=1.918855 Batch=479, step=1680, lr=0.193250, batch loss=0.276594, epoch loss=2.195449 Batch=539, step=1740, lr=0.193000, batch loss=0.213248, epoch loss=2.408696 Batch=599, step=1800, lr=0.192750, batch loss=0.261532, epoch loss=2.670228 Batch=659, step=1860, lr=0.192500, batch loss=0.380305, epoch loss=3.050533 Batch=719, step=1920, lr=0.192250, batch loss=0.355996, epoch loss=3.406529 Batch=779, step=1980, lr=0.191750, batch loss=0.379285, epoch loss=3.785814 Batch=839, step=2040, lr=0.191750, batch loss=0.341328, epoch loss=4.127143 Batch=899, step=2100, lr=0.191500, batch loss=0.295716, epoch loss=4.422858 Batch=959, step=2160, lr=0.191250, batch loss=0.209167, epoch loss=4.632025 Batch=1019, step=2220, lr=0.191000, batch loss=0.331370, epoch loss=4.963395 Batch=1079, step=2280, lr=0.190500, batch loss=0.195640, epoch loss=5.159035 Batch=1139, step=2340, lr=0.190500, batch loss=0.271870, epoch loss=5.430905 Batch=1199, step=2400, lr=0.190250, batch loss=0.219280, epoch loss=5.650184 Epoch=1, step=2400, lr=0.190250, epoch loss=5.650184 Batch=59, step=2460, lr=0.190000, batch loss=0.229395, epoch loss=0.229395 Batch=119, step=2520, lr=0.189500, batch loss=0.193216, epoch loss=0.422611 Batch=179, step=2580, lr=0.189500, batch loss=0.222174, epoch loss=0.644785 Batch=239, step=2640, lr=0.189250, batch loss=0.327770, epoch loss=0.972554 Batch=299, step=2700, lr=0.189000, batch loss=0.203821, epoch loss=1.176375 Batch=359, step=2760, lr=0.188750, batch loss=0.288334, epoch loss=1.464710 Batch=419, step=2820, lr=0.188500, batch loss=0.280359, epoch loss=1.745069 Batch=479, step=2880, lr=0.188000, batch loss=0.252151, epoch loss=1.997219 Batch=539, step=2940, lr=0.188000, batch loss=0.192004, epoch loss=2.189224 Batch=599, step=3000, lr=0.187750, batch loss=0.224918, epoch loss=2.414141 Batch=659, step=3060, lr=0.187500, batch loss=0.331834, epoch loss=2.745975 Batch=719, step=3120, lr=0.187250, batch loss=0.331880, epoch loss=3.077855 Batch=779, step=3180, lr=0.187000, batch loss=0.359246, epoch loss=3.437101 Batch=839, step=3240, lr=0.186750, batch loss=0.325125, epoch loss=3.762226 Batch=899, step=3300, lr=0.186500, batch loss=0.294858, epoch loss=4.057084 Batch=959, step=3360, lr=0.186250, batch loss=0.237969, epoch loss=4.295053 Batch=1019, step=3420, lr=0.186000, batch loss=0.358904, epoch loss=4.653957 Batch=1079, step=3480, lr=0.185750, batch loss=0.236064, epoch loss=4.890021 Batch=1139, step=3540, lr=0.185500, batch loss=0.263354, epoch loss=5.153375 Batch=1199, step=3600, lr=0.185250, batch loss=0.201455, epoch loss=5.354830 Epoch=2, step=3600, lr=0.185250, epoch loss=5.354830 Batch=59, step=3660, lr=0.185000, batch loss=0.222333, epoch loss=0.222333 Batch=119, step=3720, lr=0.184750, batch loss=0.184472, epoch loss=0.406805 Batch=179, step=3780, lr=0.184500, batch loss=0.211175, epoch loss=0.617979 Batch=239, step=3840, lr=0.184250, batch loss=0.315750, epoch loss=0.933729 Batch=299, step=3900, lr=0.184000, batch loss=0.204940, epoch loss=1.138669 Batch=359, step=3960, lr=0.183750, batch loss=0.281489, epoch loss=1.420157 Batch=419, step=4020, lr=0.183500, batch loss=0.272499, epoch loss=1.692657 Batch=479, step=4080, lr=0.183250, batch loss=0.248854, epoch loss=1.941511 Batch=539, step=4140, lr=0.183000, batch loss=0.196142, epoch loss=2.137653 Batch=599, step=4200, lr=0.182750, batch loss=0.242073, epoch loss=2.379726 Batch=659, step=4260, lr=0.182500, batch loss=0.328630, epoch loss=2.708356 Batch=719, step=4320, lr=0.182000, batch loss=0.327972, epoch loss=3.036327 Batch=779, step=4380, lr=0.182000, batch loss=0.351676, epoch loss=3.388003 Batch=839, step=4440, lr=0.181750, batch loss=0.317980, epoch loss=3.705983 Batch=899, step=4500, lr=0.181500, batch loss=0.293111, epoch loss=3.999095 Batch=959, step=4560, lr=0.181250, batch loss=0.243094, epoch loss=4.242188 Batch=1019, step=4620, lr=0.181000, batch loss=0.344490, epoch loss=4.586679 Batch=1079, step=4680, lr=0.180750, batch loss=0.221282, epoch loss=4.807961 Batch=1139, step=4740, lr=0.180500, batch loss=0.248848, epoch loss=5.056809 Batch=1199, step=4800, lr=0.180250, batch loss=0.191093, epoch loss=5.247903 Epoch=3, step=4800, lr=0.180250, epoch loss=5.247903 Batch=59, step=4860, lr=0.180000, batch loss=0.228511, epoch loss=0.228511 Batch=119, step=4920, lr=0.179750, batch loss=0.189871, epoch loss=0.418382 Batch=179, step=4980, lr=0.179500, batch loss=0.206802, epoch loss=0.625184 Batch=239, step=5040, lr=0.179250, batch loss=0.309923, epoch loss=0.935107 Batch=299, step=5100, lr=0.179000, batch loss=0.205388, epoch loss=1.140495 Batch=359, step=5160, lr=0.178750, batch loss=0.276029, epoch loss=1.416523 Batch=419, step=5220, lr=0.178500, batch loss=0.273037, epoch loss=1.689560 Batch=479, step=5280, lr=0.178000, batch loss=0.248660, epoch loss=1.938221 Batch=539, step=5340, lr=0.178000, batch loss=0.197203, epoch loss=2.135424 Batch=599, step=5400, lr=0.177750, batch loss=0.232692, epoch loss=2.368116 Batch=659, step=5460, lr=0.177500, batch loss=0.324309, epoch loss=2.692425 Batch=719, step=5520, lr=0.177250, batch loss=0.323534, epoch loss=3.015959 Batch=779, step=5580, lr=0.177000, batch loss=0.341322, epoch loss=3.357281 Batch=839, step=5640, lr=0.176750, batch loss=0.313300, epoch loss=3.670581 Batch=899, step=5700, lr=0.176500, batch loss=0.275983, epoch loss=3.946564 Batch=959, step=5760, lr=0.176250, batch loss=0.211167, epoch loss=4.157731 Batch=1019, step=5820, lr=0.176000, batch loss=0.338323, epoch loss=4.496054 Batch=1079, step=5880, lr=0.175750, batch loss=0.187932, epoch loss=4.683986 Batch=1139, step=5940, lr=0.175500, batch loss=0.225511, epoch loss=4.909497 Batch=1199, step=6000, lr=0.175250, batch loss=0.185919, epoch loss=5.095416 Epoch=4, step=6000, lr=0.175250, epoch loss=5.095416 Batch=59, step=6060, lr=0.175000, batch loss=0.226289, epoch loss=0.226289 Batch=119, step=6120, lr=0.174750, batch loss=0.184898, epoch loss=0.411187 Batch=179, step=6180, lr=0.174500, batch loss=0.201902, epoch loss=0.613089 Batch=239, step=6240, lr=0.174250, batch loss=0.301584, epoch loss=0.914673 Batch=299, step=6300, lr=0.174000, batch loss=0.203677, epoch loss=1.118350 Batch=359, step=6360, lr=0.173750, batch loss=0.266986, epoch loss=1.385336 Batch=419, step=6420, lr=0.173250, batch loss=0.265325, epoch loss=1.650661 Batch=479, step=6480, lr=0.173250, batch loss=0.243999, epoch loss=1.894660 Batch=539, step=6540, lr=0.173000, batch loss=0.192962, epoch loss=2.087622 Batch=599, step=6600, lr=0.172500, batch loss=0.229625, epoch loss=2.317247 Batch=659, step=6660, lr=0.172500, batch loss=0.315885, epoch loss=2.633131 Batch=719, step=6720, lr=0.172250, batch loss=0.316256, epoch loss=2.949387 Batch=779, step=6780, lr=0.172000, batch loss=0.332031, epoch loss=3.281419 Batch=839, step=6840, lr=0.171750, batch loss=0.305334, epoch loss=3.586753 Batch=899, step=6900, lr=0.171500, batch loss=0.266579, epoch loss=3.853332 Batch=959, step=6960, lr=0.171250, batch loss=0.215924, epoch loss=4.069256 Batch=1019, step=7020, lr=0.171000, batch loss=0.325934, epoch loss=4.395190 Batch=1079, step=7080, lr=0.170750, batch loss=0.176182, epoch loss=4.571372 Batch=1139, step=7140, lr=0.170500, batch loss=0.214268, epoch loss=4.785639 Batch=1199, step=7200, lr=0.170250, batch loss=0.183345, epoch loss=4.968985 Epoch=5, step=7200, lr=0.170250, epoch loss=4.968985 Batch=59, step=7260, lr=0.170000, batch loss=0.239418, epoch loss=0.239418 Batch=119, step=7320, lr=0.169750, batch loss=0.180753, epoch loss=0.420171 Batch=179, step=7380, lr=0.169500, batch loss=0.195005, epoch loss=0.615177 Batch=239, step=7440, lr=0.169250, batch loss=0.291831, epoch loss=0.907008 Batch=299, step=7500, lr=0.169000, batch loss=0.207454, epoch loss=1.114462 Batch=359, step=7560, lr=0.168500, batch loss=0.264439, epoch loss=1.378901 Batch=419, step=7620, lr=0.168500, batch loss=0.259051, epoch loss=1.637952 Batch=479, step=7680, lr=0.168000, batch loss=0.234429, epoch loss=1.872381 Batch=539, step=7740, lr=0.168000, batch loss=0.191509, epoch loss=2.063889 Batch=599, step=7800, lr=0.167750, batch loss=0.228909, epoch loss=2.292799 Batch=659, step=7860, lr=0.167500, batch loss=0.305049, epoch loss=2.597848 Batch=719, step=7920, lr=0.167250, batch loss=0.310281, epoch loss=2.908129 Batch=779, step=7980, lr=0.167000, batch loss=0.329515, epoch loss=3.237644 Batch=839, step=8040, lr=0.166750, batch loss=0.293454, epoch loss=3.531098 Batch=899, step=8100, lr=0.166250, batch loss=0.263143, epoch loss=3.794241 Batch=959, step=8160, lr=0.166250, batch loss=0.198679, epoch loss=3.992921 Batch=1019, step=8220, lr=0.165750, batch loss=0.326641, epoch loss=4.319562 Batch=1079, step=8280, lr=0.165500, batch loss=0.195955, epoch loss=4.515517 Batch=1139, step=8340, lr=0.165500, batch loss=0.222325, epoch loss=4.737842 Batch=1199, step=8400, lr=0.165250, batch loss=0.174977, epoch loss=4.912819 Epoch=6, step=8400, lr=0.165250, epoch loss=4.912819 Batch=59, step=8460, lr=0.165000, batch loss=0.219428, epoch loss=0.219428 Batch=119, step=8520, lr=0.164750, batch loss=0.181235, epoch loss=0.400663 Batch=179, step=8580, lr=0.164250, batch loss=0.189044, epoch loss=0.589708 Batch=239, step=8640, lr=0.164000, batch loss=0.277140, epoch loss=0.866847 Batch=299, step=8700, lr=0.164000, batch loss=0.187354, epoch loss=1.054202 Batch=359, step=8760, lr=0.163500, batch loss=0.244351, epoch loss=1.298552 Batch=419, step=8820, lr=0.163500, batch loss=0.239149, epoch loss=1.537701 Batch=479, step=8880, lr=0.163000, batch loss=0.217071, epoch loss=1.754772 Batch=539, step=8940, lr=0.162750, batch loss=0.179203, epoch loss=1.933975 Batch=599, step=9000, lr=0.162750, batch loss=0.218089, epoch loss=2.152064 Batch=659, step=9060, lr=0.162250, batch loss=0.294692, epoch loss=2.446756 Batch=719, step=9120, lr=0.162250, batch loss=0.295476, epoch loss=2.742232 Batch=779, step=9180, lr=0.161750, batch loss=0.316554, epoch loss=3.058786 Batch=839, step=9240, lr=0.161500, batch loss=0.287434, epoch loss=3.346220 Batch=899, step=9300, lr=0.161250, batch loss=0.251951, epoch loss=3.598171 Batch=959, step=9360, lr=0.161250, batch loss=0.190526, epoch loss=3.788697 Batch=1019, step=9420, lr=0.161000, batch loss=0.318253, epoch loss=4.106950 Batch=1079, step=9480, lr=0.160500, batch loss=0.200463, epoch loss=4.307413 Batch=1139, step=9540, lr=0.160500, batch loss=0.212018, epoch loss=4.519431 Batch=1199, step=9600, lr=0.160250, batch loss=0.167611, epoch loss=4.687042 Epoch=7, step=9600, lr=0.160250, epoch loss=4.687042 Batch=59, step=9660, lr=0.159750, batch loss=0.200573, epoch loss=0.200573 Batch=119, step=9720, lr=0.159750, batch loss=0.163937, epoch loss=0.364510 Batch=179, step=9780, lr=0.159500, batch loss=0.178738, epoch loss=0.543248 Batch=239, step=9840, lr=0.159250, batch loss=0.263211, epoch loss=0.806460 Batch=299, step=9900, lr=0.159000, batch loss=0.182944, epoch loss=0.989403 Batch=359, step=9960, lr=0.158750, batch loss=0.240648, epoch loss=1.230052 Batch=419, step=10020, lr=0.158500, batch loss=0.232260, epoch loss=1.462312 Batch=479, step=10080, lr=0.158250, batch loss=0.215853, epoch loss=1.678165 Batch=539, step=10140, lr=0.158000, batch loss=0.171065, epoch loss=1.849230 Batch=599, step=10200, lr=0.157750, batch loss=0.204472, epoch loss=2.053702 Batch=659, step=10260, lr=0.157250, batch loss=0.281158, epoch loss=2.334859 Batch=719, step=10320, lr=0.157250, batch loss=0.284908, epoch loss=2.619767 Batch=779, step=10380, lr=0.156750, batch loss=0.295004, epoch loss=2.914771 Batch=839, step=10440, lr=0.156750, batch loss=0.273778, epoch loss=3.188549 Batch=899, step=10500, lr=0.156250, batch loss=0.236680, epoch loss=3.425229 Batch=959, step=10560, lr=0.156000, batch loss=0.182370, epoch loss=3.607599 Batch=1019, step=10620, lr=0.155750, batch loss=0.295763, epoch loss=3.903362 Batch=1079, step=10680, lr=0.155750, batch loss=0.182073, epoch loss=4.085435 Batch=1139, step=10740, lr=0.155500, batch loss=0.198464, epoch loss=4.283899 Batch=1199, step=10800, lr=0.155000, batch loss=0.155502, epoch loss=4.439401 Epoch=8, step=10800, lr=0.155000, epoch loss=4.439401 Batch=59, step=10860, lr=0.155000, batch loss=0.180353, epoch loss=0.180353 Batch=119, step=10920, lr=0.154500, batch loss=0.151978, epoch loss=0.332331 Batch=179, step=10980, lr=0.154250, batch loss=0.166355, epoch loss=0.498686 Batch=239, step=11040, lr=0.154250, batch loss=0.244075, epoch loss=0.742760 Batch=299, step=11100, lr=0.154000, batch loss=0.169353, epoch loss=0.912113 Batch=359, step=11160, lr=0.153750, batch loss=0.221415, epoch loss=1.133528 Batch=419, step=11220, lr=0.153500, batch loss=0.216563, epoch loss=1.350090 Batch=479, step=11280, lr=0.153250, batch loss=0.204198, epoch loss=1.554289 Batch=539, step=11340, lr=0.153000, batch loss=0.158607, epoch loss=1.712896 Batch=599, step=11400, lr=0.152500, batch loss=0.180304, epoch loss=1.893200 Batch=659, step=11460, lr=0.152500, batch loss=0.265227, epoch loss=2.158427 Batch=719, step=11520, lr=0.152250, batch loss=0.261381, epoch loss=2.419808 Batch=779, step=11580, lr=0.152000, batch loss=0.272475, epoch loss=2.692283 Batch=839, step=11640, lr=0.151750, batch loss=0.258293, epoch loss=2.950576 Batch=899, step=11700, lr=0.151250, batch loss=0.212798, epoch loss=3.163374 Batch=959, step=11760, lr=0.151250, batch loss=0.173140, epoch loss=3.336514 Batch=1019, step=11820, lr=0.151000, batch loss=0.264291, epoch loss=3.600804 Batch=1079, step=11880, lr=0.150500, batch loss=0.144555, epoch loss=3.745359 Batch=1139, step=11940, lr=0.150500, batch loss=0.183211, epoch loss=3.928570 Batch=1199, step=12000, lr=0.150000, batch loss=0.140116, epoch loss=4.068686 Epoch=9, step=12000, lr=0.150000, epoch loss=4.068686 Batch=59, step=12060, lr=0.150000, batch loss=0.160647, epoch loss=0.160647 Batch=119, step=12120, lr=0.149750, batch loss=0.132794, epoch loss=0.293441 Batch=179, step=12180, lr=0.149250, batch loss=0.151682, epoch loss=0.445123 Batch=239, step=12240, lr=0.149250, batch loss=0.222476, epoch loss=0.667600 Batch=299, step=12300, lr=0.149000, batch loss=0.138031, epoch loss=0.805630 Batch=359, step=12360, lr=0.148750, batch loss=0.202538, epoch loss=1.008168 Batch=419, step=12420, lr=0.148250, batch loss=0.211909, epoch loss=1.220078 Batch=479, step=12480, lr=0.148250, batch loss=0.175669, epoch loss=1.395747 Batch=539, step=12540, lr=0.148000, batch loss=0.145504, epoch loss=1.541251 Batch=599, step=12600, lr=0.147500, batch loss=0.148877, epoch loss=1.690128 Batch=659, step=12660, lr=0.147500, batch loss=0.220219, epoch loss=1.910347 Batch=719, step=12720, lr=0.147250, batch loss=0.217376, epoch loss=2.127723 Batch=779, step=12780, lr=0.146750, batch loss=0.239068, epoch loss=2.366792 Batch=839, step=12840, lr=0.146500, batch loss=0.231593, epoch loss=2.598385 Batch=899, step=12900, lr=0.146500, batch loss=0.212720, epoch loss=2.811105 Batch=959, step=12960, lr=0.146000, batch loss=0.160881, epoch loss=2.971986 Batch=1019, step=13020, lr=0.146000, batch loss=0.265449, epoch loss=3.237435 Batch=1079, step=13080, lr=0.145500, batch loss=0.118909, epoch loss=3.356344 Batch=1139, step=13140, lr=0.145250, batch loss=0.161118, epoch loss=3.517462 Batch=1199, step=13200, lr=0.145000, batch loss=0.120459, epoch loss=3.637921 Epoch=10, step=13200, lr=0.145000, epoch loss=3.637921 Batch=59, step=13260, lr=0.145000, batch loss=0.142472, epoch loss=0.142472 Batch=119, step=13320, lr=0.144750, batch loss=0.121943, epoch loss=0.264415 Batch=179, step=13380, lr=0.144500, batch loss=0.130062, epoch loss=0.394477 Batch=239, step=13440, lr=0.144000, batch loss=0.196132, epoch loss=0.590610 Batch=299, step=13500, lr=0.144000, batch loss=0.117319, epoch loss=0.707929 Batch=359, step=13560, lr=0.143750, batch loss=0.161062, epoch loss=0.868991 Batch=419, step=13620, lr=0.143250, batch loss=0.163452, epoch loss=1.032443 Batch=479, step=13680, lr=0.143250, batch loss=0.148497, epoch loss=1.180940 Batch=539, step=13740, lr=0.142750, batch loss=0.120308, epoch loss=1.301248 Batch=599, step=13800, lr=0.142750, batch loss=0.121877, epoch loss=1.423125 Batch=659, step=13860, lr=0.142500, batch loss=0.177595, epoch loss=1.600720 Batch=719, step=13920, lr=0.142250, batch loss=0.179555, epoch loss=1.780274 Batch=779, step=13980, lr=0.141750, batch loss=0.200151, epoch loss=1.980425 Batch=839, step=14040, lr=0.141500, batch loss=0.188690, epoch loss=2.169115 Batch=899, step=14100, lr=0.141250, batch loss=0.160213, epoch loss=2.329328 Batch=959, step=14160, lr=0.141250, batch loss=0.134855, epoch loss=2.464184 Batch=1019, step=14220, lr=0.141000, batch loss=0.285752, epoch loss=2.749936 Batch=1079, step=14280, lr=0.140750, batch loss=0.090528, epoch loss=2.840464 Batch=1139, step=14340, lr=0.140250, batch loss=0.132108, epoch loss=2.972572 Batch=1199, step=14400, lr=0.140250, batch loss=0.094687, epoch loss=3.067259 Epoch=11, step=14400, lr=0.140250, epoch loss=3.067259 Batch=59, step=14460, lr=0.140000, batch loss=0.121599, epoch loss=0.121599 Batch=119, step=14520, lr=0.139750, batch loss=0.105879, epoch loss=0.227477 Batch=179, step=14580, lr=0.139250, batch loss=0.104827, epoch loss=0.332304 Batch=239, step=14640, lr=0.139250, batch loss=0.143986, epoch loss=0.476291 Batch=299, step=14700, lr=0.139000, batch loss=0.080540, epoch loss=0.556831 Batch=359, step=14760, lr=0.138500, batch loss=0.120252, epoch loss=0.677083 Batch=419, step=14820, lr=0.138250, batch loss=0.123767, epoch loss=0.800850 Batch=479, step=14880, lr=0.138250, batch loss=0.111669, epoch loss=0.912519 Batch=539, step=14940, lr=0.138000, batch loss=0.121343, epoch loss=1.033862 Batch=599, step=15000, lr=0.137750, batch loss=0.089349, epoch loss=1.123211 Batch=659, step=15060, lr=0.137500, batch loss=0.133048, epoch loss=1.256259 Batch=719, step=15120, lr=0.137250, batch loss=0.137788, epoch loss=1.394047 Batch=779, step=15180, lr=0.137000, batch loss=0.179936, epoch loss=1.573983 Batch=839, step=15240, lr=0.136750, batch loss=0.151166, epoch loss=1.725148 Batch=899, step=15300, lr=0.136500, batch loss=0.147237, epoch loss=1.872386 Batch=959, step=15360, lr=0.136250, batch loss=0.092091, epoch loss=1.964476 Batch=1019, step=15420, lr=0.136000, batch loss=0.171996, epoch loss=2.136472 Batch=1079, step=15480, lr=0.135750, batch loss=0.045950, epoch loss=2.182422 Batch=1139, step=15540, lr=0.135250, batch loss=0.106699, epoch loss=2.289121 Batch=1199, step=15600, lr=0.135000, batch loss=0.059018, epoch loss=2.348139 Epoch=12, step=15600, lr=0.135000, epoch loss=2.348139 Batch=59, step=15660, lr=0.135000, batch loss=0.090203, epoch loss=0.090203 Batch=119, step=15720, lr=0.134750, batch loss=0.156876, epoch loss=0.247079 Batch=179, step=15780, lr=0.134500, batch loss=0.107852, epoch loss=0.354932 Batch=239, step=15840, lr=0.134250, batch loss=0.104283, epoch loss=0.459215 Batch=299, step=15900, lr=0.134000, batch loss=0.051365, epoch loss=0.510580 Batch=359, step=15960, lr=0.133500, batch loss=0.102163, epoch loss=0.612743 Batch=419, step=16020, lr=0.133500, batch loss=0.081140, epoch loss=0.693883 Batch=479, step=16080, lr=0.133250, batch loss=0.059535, epoch loss=0.753419 Batch=539, step=16140, lr=0.133000, batch loss=0.065235, epoch loss=0.818654 Batch=599, step=16200, lr=0.132750, batch loss=0.146772, epoch loss=0.965426 Batch=659, step=16260, lr=0.132500, batch loss=0.091046, epoch loss=1.056472 Batch=719, step=16320, lr=0.132250, batch loss=0.132754, epoch loss=1.189226 Batch=779, step=16380, lr=0.132000, batch loss=0.283590, epoch loss=1.472816 Batch=839, step=16440, lr=0.131750, batch loss=0.094470, epoch loss=1.567286 Batch=899, step=16500, lr=0.131250, batch loss=0.088331, epoch loss=1.655617 Batch=959, step=16560, lr=0.131250, batch loss=0.034626, epoch loss=1.690243 Batch=1019, step=16620, lr=0.131000, batch loss=0.063677, epoch loss=1.753920 Batch=1079, step=16680, lr=0.130500, batch loss=0.053747, epoch loss=1.807667 Batch=1139, step=16740, lr=0.130500, batch loss=0.095196, epoch loss=1.902863 Batch=1199, step=16800, lr=0.130250, batch loss=0.047304, epoch loss=1.950167 Epoch=13, step=16800, lr=0.130250, epoch loss=1.950167 Batch=59, step=16860, lr=0.129750, batch loss=0.037385, epoch loss=0.037385 Batch=119, step=16920, lr=0.129750, batch loss=0.038006, epoch loss=0.075391 Batch=179, step=16980, lr=0.129500, batch loss=0.045067, epoch loss=0.120457 Batch=239, step=17040, lr=0.129000, batch loss=0.061308, epoch loss=0.181765 Batch=299, step=17100, lr=0.128750, batch loss=0.021899, epoch loss=0.203664 Batch=359, step=17160, lr=0.128500, batch loss=0.047314, epoch loss=0.250978 Batch=419, step=17220, lr=0.128500, batch loss=0.080450, epoch loss=0.331428 Batch=479, step=17280, lr=0.128250, batch loss=0.026265, epoch loss=0.357693 Batch=539, step=17340, lr=0.128000, batch loss=0.027740, epoch loss=0.385433 Batch=599, step=17400, lr=0.127750, batch loss=0.037632, epoch loss=0.423065 Batch=659, step=17460, lr=0.127500, batch loss=0.047054, epoch loss=0.470119 Batch=719, step=17520, lr=0.127250, batch loss=0.041950, epoch loss=0.512068 Batch=779, step=17580, lr=0.127000, batch loss=0.039462, epoch loss=0.551530 Batch=839, step=17640, lr=0.126750, batch loss=0.054907, epoch loss=0.606437 Batch=899, step=17700, lr=0.126500, batch loss=0.056380, epoch loss=0.662817 Batch=959, step=17760, lr=0.126250, batch loss=0.040993, epoch loss=0.703810 Batch=1019, step=17820, lr=0.126000, batch loss=0.116117, epoch loss=0.819927 Batch=1079, step=17880, lr=0.125750, batch loss=0.023453, epoch loss=0.843381 Batch=1139, step=17940, lr=0.125500, batch loss=0.053330, epoch loss=0.896711 Batch=1199, step=18000, lr=0.125250, batch loss=0.022054, epoch loss=0.918766 Epoch=14, step=18000, lr=0.125250, epoch loss=0.918766 Batch=59, step=18060, lr=0.125000, batch loss=0.012952, epoch loss=0.012952 Batch=119, step=18120, lr=0.124750, batch loss=0.034972, epoch loss=0.047924 Batch=179, step=18180, lr=0.124250, batch loss=0.082701, epoch loss=0.130625 Batch=239, step=18240, lr=0.124250, batch loss=0.043135, epoch loss=0.173760 Batch=299, step=18300, lr=0.124000, batch loss=0.010648, epoch loss=0.184408 Batch=359, step=18360, lr=0.123500, batch loss=0.028717, epoch loss=0.213126 Batch=419, step=18420, lr=0.123500, batch loss=0.030506, epoch loss=0.243632 Batch=479, step=18480, lr=0.123250, batch loss=0.014288, epoch loss=0.257920 Batch=539, step=18540, lr=0.123000, batch loss=0.033662, epoch loss=0.291581 Batch=599, step=18600, lr=0.122750, batch loss=0.036809, epoch loss=0.328390 Batch=659, step=18660, lr=0.122500, batch loss=0.027611, epoch loss=0.356001 Batch=719, step=18720, lr=0.122250, batch loss=0.040215, epoch loss=0.396216 Batch=779, step=18780, lr=0.122000, batch loss=0.104289, epoch loss=0.500504 Batch=839, step=18840, lr=0.121750, batch loss=0.068320, epoch loss=0.568824 Batch=899, step=18900, lr=0.121500, batch loss=0.084050, epoch loss=0.652874 Batch=959, step=18960, lr=0.121250, batch loss=0.014727, epoch loss=0.667602 Batch=1019, step=19020, lr=0.121000, batch loss=0.020961, epoch loss=0.688563 Batch=1079, step=19080, lr=0.120500, batch loss=0.008323, epoch loss=0.696886 Batch=1139, step=19140, lr=0.120250, batch loss=0.025191, epoch loss=0.722076 Batch=1199, step=19200, lr=0.120250, batch loss=0.010836, epoch loss=0.732912 Epoch=15, step=19200, lr=0.120250, epoch loss=0.732912 Batch=59, step=19260, lr=0.120000, batch loss=0.005215, epoch loss=0.005215 Batch=119, step=19320, lr=0.119750, batch loss=0.021672, epoch loss=0.026887 Batch=179, step=19380, lr=0.119500, batch loss=0.053549, epoch loss=0.080437 Batch=239, step=19440, lr=0.119250, batch loss=0.024822, epoch loss=0.105259 Batch=299, step=19500, lr=0.118750, batch loss=0.011803, epoch loss=0.117062 Batch=359, step=19560, lr=0.118750, batch loss=0.023629, epoch loss=0.140691 Batch=419, step=19620, lr=0.118500, batch loss=0.020487, epoch loss=0.161178 Batch=479, step=19680, lr=0.118250, batch loss=0.008656, epoch loss=0.169834 Batch=539, step=19740, lr=0.118000, batch loss=0.016865, epoch loss=0.186699 Batch=599, step=19800, lr=0.117750, batch loss=0.022551, epoch loss=0.209250 Batch=659, step=19860, lr=0.117500, batch loss=0.017894, epoch loss=0.227143 Batch=719, step=19920, lr=0.117000, batch loss=0.039635, epoch loss=0.266778 Batch=779, step=19980, lr=0.117000, batch loss=0.080864, epoch loss=0.347642 Batch=839, step=20040, lr=0.116750, batch loss=0.032023, epoch loss=0.379665 Batch=899, step=20100, lr=0.116500, batch loss=0.030127, epoch loss=0.409792 Batch=959, step=20160, lr=0.116250, batch loss=0.012412, epoch loss=0.422204 Batch=1019, step=20220, lr=0.115750, batch loss=0.014525, epoch loss=0.436728 Batch=1079, step=20280, lr=0.115750, batch loss=0.001610, epoch loss=0.438339 Batch=1139, step=20340, lr=0.115500, batch loss=0.015668, epoch loss=0.454007 Batch=1199, step=20400, lr=0.115000, batch loss=0.006478, epoch loss=0.460485 Epoch=16, step=20400, lr=0.115000, epoch loss=0.460485 Batch=59, step=20460, lr=0.114750, batch loss=0.003141, epoch loss=0.003141 Batch=119, step=20520, lr=0.114500, batch loss=0.010039, epoch loss=0.013180 Batch=179, step=20580, lr=0.114500, batch loss=0.026988, epoch loss=0.040168 Batch=239, step=20640, lr=0.114000, batch loss=0.014977, epoch loss=0.055145 Batch=299, step=20700, lr=0.114000, batch loss=0.004015, epoch loss=0.059161 Batch=359, step=20760, lr=0.113750, batch loss=0.015994, epoch loss=0.075154 Batch=419, step=20820, lr=0.113500, batch loss=0.015293, epoch loss=0.090448 Batch=479, step=20880, lr=0.113250, batch loss=0.003612, epoch loss=0.094059 Batch=539, step=20940, lr=0.112750, batch loss=0.017684, epoch loss=0.111743 Batch=599, step=21000, lr=0.112500, batch loss=0.021819, epoch loss=0.133562 Batch=659, step=21060, lr=0.112500, batch loss=0.019599, epoch loss=0.153160 Batch=719, step=21120, lr=0.112250, batch loss=0.047587, epoch loss=0.200748 Batch=779, step=21180, lr=0.112000, batch loss=0.066610, epoch loss=0.267357 Batch=839, step=21240, lr=0.111750, batch loss=0.025330, epoch loss=0.292687 Batch=899, step=21300, lr=0.111500, batch loss=0.028724, epoch loss=0.321411 Batch=959, step=21360, lr=0.111250, batch loss=0.011233, epoch loss=0.332644 Batch=1019, step=21420, lr=0.111000, batch loss=0.013598, epoch loss=0.346242 Batch=1079, step=21480, lr=0.110750, batch loss=0.001178, epoch loss=0.347421 Batch=1139, step=21540, lr=0.110500, batch loss=0.012726, epoch loss=0.360147 Batch=1199, step=21600, lr=0.110250, batch loss=0.004739, epoch loss=0.364886 Epoch=17, step=21600, lr=0.110250, epoch loss=0.364886 Batch=59, step=21660, lr=0.110000, batch loss=0.001768, epoch loss=0.001768 Batch=119, step=21720, lr=0.109750, batch loss=0.007866, epoch loss=0.009634 Batch=179, step=21780, lr=0.109500, batch loss=0.018880, epoch loss=0.028515 Batch=239, step=21840, lr=0.109000, batch loss=0.012280, epoch loss=0.040795 Batch=299, step=21900, lr=0.109000, batch loss=0.002441, epoch loss=0.043236 Batch=359, step=21960, lr=0.108500, batch loss=0.011769, epoch loss=0.055004 Batch=419, step=22020, lr=0.108500, batch loss=0.012743, epoch loss=0.067747 Batch=479, step=22080, lr=0.108000, batch loss=0.003192, epoch loss=0.070939 Batch=539, step=22140, lr=0.107750, batch loss=0.016922, epoch loss=0.087861 Batch=599, step=22200, lr=0.107750, batch loss=0.014973, epoch loss=0.102834 Batch=659, step=22260, lr=0.107500, batch loss=0.010840, epoch loss=0.113674 Batch=719, step=22320, lr=0.107250, batch loss=0.021711, epoch loss=0.135385 Batch=779, step=22380, lr=0.107000, batch loss=0.029741, epoch loss=0.165126 Batch=839, step=22440, lr=0.106500, batch loss=0.027911, epoch loss=0.193037 Batch=899, step=22500, lr=0.106500, batch loss=0.024837, epoch loss=0.217874 Batch=959, step=22560, lr=0.106250, batch loss=0.009276, epoch loss=0.227150 Batch=1019, step=22620, lr=0.105750, batch loss=0.009834, epoch loss=0.236984 Batch=1079, step=22680, lr=0.105500, batch loss=0.001921, epoch loss=0.238906 Batch=1139, step=22740, lr=0.105250, batch loss=0.011713, epoch loss=0.250619 Batch=1199, step=22800, lr=0.105250, batch loss=0.005320, epoch loss=0.255939 Epoch=18, step=22800, lr=0.105250, epoch loss=0.255939 Batch=59, step=22860, lr=0.104750, batch loss=0.002380, epoch loss=0.002380 Batch=119, step=22920, lr=0.104500, batch loss=0.005545, epoch loss=0.007924 Batch=179, step=22980, lr=0.104500, batch loss=0.012304, epoch loss=0.020229 Batch=239, step=23040, lr=0.104250, batch loss=0.008415, epoch loss=0.028644 Batch=299, step=23100, lr=0.104000, batch loss=0.004401, epoch loss=0.033045 Batch=359, step=23160, lr=0.103750, batch loss=0.011800, epoch loss=0.044845 Batch=419, step=23220, lr=0.103500, batch loss=0.010446, epoch loss=0.055291 Batch=479, step=23280, lr=0.103250, batch loss=0.002736, epoch loss=0.058027 Batch=539, step=23340, lr=0.102750, batch loss=0.016092, epoch loss=0.074119 Batch=599, step=23400, lr=0.102750, batch loss=0.013487, epoch loss=0.087606 Batch=659, step=23460, lr=0.102500, batch loss=0.011480, epoch loss=0.099086 Batch=719, step=23520, lr=0.102250, batch loss=0.010692, epoch loss=0.109778 Batch=779, step=23580, lr=0.102000, batch loss=0.018544, epoch loss=0.128322 Batch=839, step=23640, lr=0.101500, batch loss=0.026831, epoch loss=0.155154 Batch=899, step=23700, lr=0.101500, batch loss=0.021234, epoch loss=0.176388 Batch=959, step=23760, lr=0.101250, batch loss=0.008174, epoch loss=0.184562 Batch=1019, step=23820, lr=0.101000, batch loss=0.008793, epoch loss=0.193355 Batch=1079, step=23880, lr=0.100750, batch loss=0.001057, epoch loss=0.194412 Batch=1139, step=23940, lr=0.100250, batch loss=0.008375, epoch loss=0.202787 Batch=1199, step=24000, lr=0.100250, batch loss=0.004675, epoch loss=0.207462 Epoch=19, step=24000, lr=0.100250, epoch loss=0.207462 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%.........**************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 16:28.57 ---> saved as "1ee31f14a02d79a7fef80418b0a4e682dab3dbe7f0208736abc88c400e826988" Job succeeded 2025-03-21 16:28.59: Job succeeded