2025-03-20 14:55.23: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (367be2655cf44dcf622960079750a99cdec03fe8) (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 367be265 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 2025-03-20 14:55.23: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925-fedora-41-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 14:55.23: 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")) ) 2025-03-20 14:55.23: Waiting for resource in pool OCluster 2025-03-20 14:55.23: Waiting for worker… 2025-03-20 16:33.43: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 367be265 Load log_level earlier to consistently log all settings (from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925) 2025-03-20 16:33.43 ---> using "189447b5abf4f84b3141564fa16299d77370e888a929cebc6495802de6bce562" from cache /: (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% | 171.6 KiB/s | 23.7 KiB | 00m00s Fedora 41 - x86_64 100% | 200.2 KiB/s | 26.8 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 4.9 MiB/s | 4.4 MiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-03-20 16:33.43 ---> using "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-20 16:33.43 ---> using "92a7f2480fc833b8b6e6f7c055e96edecd7a23b7a1425abe59b46f58f5769a58" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [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 2025-03-20 16:33.43 ---> using "22323ebe734803b688970a8a4b44abf93aa58863ccedfb0ae4ead813beb5698c" from cache /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 2025-03-20 16:33.43 ---> using "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 16:33.43 ---> using "b766911cfcef799c6c2bb8aec82e30e2bd662c95ed64a05054ff7a173457d537" from cache /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..6cf83229dd 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) 2025-03-20 16:35.05 ---> saved as "ece3a959e2ef17442b29b6ddfc99e8140b85a2f969c4a3b7d543a174bcd5db3d" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 16:35.06 ---> saved as "a7995f649c73d9e2babfcd97b0e8e8ffa838d8e1a37a5b41cef0fa20c5171493" /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) 2025-03-20 16:35.10 ---> saved as "0a48fa20bdf4e6bdf92de50ad1b179566e59a5d19580d481942ca723221ad166" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 16:35.10 ---> saved as "e5fa21efb6ec9bcee7c096aa55a7baad8cdd660b0019042e49dcb36e3acc6d45" /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% | 368.8 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 107.3 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% | 378.2 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-03-20 16:35.49 ---> saved as "ec2cd6f2dd31abf670c32d6062964da56a43e5a89a2f82d108cb5a2ddba5eba7" /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 angstrom.0.16.1 (cached) -> retrieved bigarray-compat.1.1.0 (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_minidebug.2.1.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> 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 fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> 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 ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> 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) 2025-03-20 16:38.13 ---> saved as "7921041fe58f6d2d694d077196babd22dfea63ab7b6a5facc67bb1556370f14b" /src: (copy (src .) (dst /src)) 2025-03-20 16:38.15 ---> saved as "26816058ecbf6f516d6bfaf209d562290cba010685a9cfb7c83b103784883e86" /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/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/ee9278274e8854c4ca3f970d6337e2ab/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.852304, epoch loss=35.617934 Batch=299, step=300, lr=0.199000, batch loss=1.444952, epoch loss=37.062886 Batch=359, step=360, lr=0.198750, batch loss=1.338572, epoch loss=38.401458 Batch=419, step=420, lr=0.198500, batch loss=0.613822, epoch loss=39.015280 Batch=479, step=480, lr=0.198250, batch loss=0.795514, epoch loss=39.810793 Batch=539, step=540, lr=0.198000, batch loss=0.650914, epoch loss=40.461707 Batch=599, step=600, lr=0.197750, batch loss=1.085739, epoch loss=41.547445 Batch=659, step=660, lr=0.197500, batch loss=0.482266, epoch loss=42.029711 Batch=719, step=720, lr=0.197250, batch loss=0.412679, epoch loss=42.442390 Batch=779, step=780, lr=0.197000, batch loss=0.470681, epoch loss=42.913071 Batch=839, step=840, lr=0.196750, batch loss=0.445094, epoch loss=43.358164 Batch=899, step=900, lr=0.196500, batch loss=0.386137, epoch loss=43.744301 Batch=959, step=960, lr=0.196250, batch loss=0.251508, epoch loss=43.995809 Batch=1019, step=1020, lr=0.196000, batch loss=0.470755, epoch loss=44.466564 Batch=1079, step=1080, lr=0.195750, batch loss=0.247922, epoch loss=44.714487 Batch=1139, step=1140, lr=0.195500, batch loss=0.318581, epoch loss=45.033068 Batch=1199, step=1200, lr=0.195250, batch loss=0.265926, epoch loss=45.298993 Epoch=0, step=1200, lr=0.195250, epoch loss=45.298993 Batch=59, step=1260, lr=0.195000, batch loss=0.264235, epoch loss=0.264235 Batch=119, step=1320, lr=0.194750, batch loss=0.205923, epoch loss=0.470158 Batch=179, step=1380, lr=0.194500, batch loss=0.245563, epoch loss=0.715720 Batch=239, step=1440, lr=0.194250, batch loss=0.348726, epoch loss=1.064447 Batch=299, step=1500, lr=0.194000, batch loss=0.240764, epoch loss=1.305211 Batch=359, step=1560, lr=0.193750, batch loss=0.315448, epoch loss=1.620659 Batch=419, step=1620, lr=0.193500, batch loss=0.309961, epoch loss=1.930619 Batch=479, step=1680, lr=0.193250, batch loss=0.277741, epoch loss=2.208360 Batch=539, step=1740, lr=0.193000, batch loss=0.210279, epoch loss=2.418639 Batch=599, step=1800, lr=0.192750, batch loss=0.244146, epoch loss=2.662785 Batch=659, step=1860, lr=0.192500, batch loss=0.363633, epoch loss=3.026419 Batch=719, step=1920, lr=0.192250, batch loss=0.355257, epoch loss=3.381676 Batch=779, step=1980, lr=0.191750, batch loss=0.378449, epoch loss=3.760125 Batch=839, step=2040, lr=0.191500, batch loss=0.340914, epoch loss=4.101040 Batch=899, step=2100, lr=0.191250, batch loss=0.296740, epoch loss=4.397780 Batch=959, step=2160, lr=0.191250, batch loss=0.209015, epoch loss=4.606795 Batch=1019, step=2220, lr=0.191000, batch loss=0.329119, epoch loss=4.935914 Batch=1079, step=2280, lr=0.190500, batch loss=0.193879, epoch loss=5.129793 Batch=1139, step=2340, lr=0.190250, batch loss=0.264469, epoch loss=5.394263 Batch=1199, step=2400, lr=0.190250, batch loss=0.212923, epoch loss=5.607185 Epoch=1, step=2400, lr=0.190250, epoch loss=5.607185 Batch=59, step=2460, lr=0.189750, batch loss=0.231781, epoch loss=0.231781 Batch=119, step=2520, lr=0.189500, batch loss=0.197814, epoch loss=0.429595 Batch=179, step=2580, lr=0.189250, batch loss=0.219992, epoch loss=0.649587 Batch=239, step=2640, lr=0.189250, batch loss=0.327662, epoch loss=0.977249 Batch=299, step=2700, lr=0.188750, batch loss=0.205858, epoch loss=1.183107 Batch=359, step=2760, lr=0.188500, batch loss=0.295472, epoch loss=1.478580 Batch=419, step=2820, lr=0.188500, batch loss=0.284987, epoch loss=1.763566 Batch=479, step=2880, lr=0.188250, batch loss=0.263323, epoch loss=2.026889 Batch=539, step=2940, lr=0.188000, batch loss=0.210274, epoch loss=2.237164 Batch=599, step=3000, lr=0.187750, batch loss=0.261921, epoch loss=2.499084 Batch=659, step=3060, lr=0.187500, batch loss=0.361050, epoch loss=2.860134 Batch=719, step=3120, lr=0.187250, batch loss=0.353884, epoch loss=3.214018 Batch=779, step=3180, lr=0.187000, batch loss=0.363969, epoch loss=3.577987 Batch=839, step=3240, lr=0.186750, batch loss=0.327165, epoch loss=3.905153 Batch=899, step=3300, lr=0.186500, batch loss=0.295342, epoch loss=4.200495 Batch=959, step=3360, lr=0.186250, batch loss=0.228903, epoch loss=4.429398 Batch=1019, step=3420, lr=0.186000, batch loss=0.340581, epoch loss=4.769979 Batch=1079, step=3480, lr=0.185750, batch loss=0.195204, epoch loss=4.965183 Batch=1139, step=3540, lr=0.185500, batch loss=0.252727, epoch loss=5.217910 Batch=1199, step=3600, lr=0.185250, batch loss=0.200365, epoch loss=5.418274 Epoch=2, step=3600, lr=0.185250, epoch loss=5.418274 Batch=59, step=3660, lr=0.185000, batch loss=0.227953, epoch loss=0.227953 Batch=119, step=3720, lr=0.184750, batch loss=0.197083, epoch loss=0.425036 Batch=179, step=3780, lr=0.184500, batch loss=0.214058, epoch loss=0.639094 Batch=239, step=3840, lr=0.184250, batch loss=0.318424, epoch loss=0.957517 Batch=299, step=3900, lr=0.184000, batch loss=0.210703, epoch loss=1.168220 Batch=359, step=3960, lr=0.183750, batch loss=0.294335, epoch loss=1.462554 Batch=419, step=4020, lr=0.183500, batch loss=0.307762, epoch loss=1.770317 Batch=479, step=4080, lr=0.183250, batch loss=0.256472, epoch loss=2.026789 Batch=539, step=4140, lr=0.183000, batch loss=0.201303, epoch loss=2.228092 Batch=599, step=4200, lr=0.182750, batch loss=0.244439, epoch loss=2.472531 Batch=659, step=4260, lr=0.182500, batch loss=0.329843, epoch loss=2.802374 Batch=719, step=4320, lr=0.182250, batch loss=0.325146, epoch loss=3.127520 Batch=779, step=4380, lr=0.182000, batch loss=0.348758, epoch loss=3.476277 Batch=839, step=4440, lr=0.181750, batch loss=0.319420, epoch loss=3.795697 Batch=899, step=4500, lr=0.181500, batch loss=0.293029, epoch loss=4.088726 Batch=959, step=4560, lr=0.181250, batch loss=0.243423, epoch loss=4.332149 Batch=1019, step=4620, lr=0.181000, batch loss=0.338842, epoch loss=4.670991 Batch=1079, step=4680, lr=0.180750, batch loss=0.202447, epoch loss=4.873438 Batch=1139, step=4740, lr=0.180500, batch loss=0.243836, epoch loss=5.117274 Batch=1199, step=4800, lr=0.180250, batch loss=0.192640, epoch loss=5.309914 Epoch=3, step=4800, lr=0.180250, epoch loss=5.309914 Batch=59, step=4860, lr=0.180000, batch loss=0.229193, epoch loss=0.229193 Batch=119, step=4920, lr=0.179750, batch loss=0.189553, epoch loss=0.418746 Batch=179, step=4980, lr=0.179500, batch loss=0.206557, epoch loss=0.625303 Batch=239, step=5040, lr=0.179250, batch loss=0.308217, epoch loss=0.933520 Batch=299, step=5100, lr=0.179000, batch loss=0.208659, epoch loss=1.142180 Batch=359, step=5160, lr=0.178750, batch loss=0.274785, epoch loss=1.416965 Batch=419, step=5220, lr=0.178500, batch loss=0.264989, epoch loss=1.681954 Batch=479, step=5280, lr=0.178250, batch loss=0.240489, epoch loss=1.922442 Batch=539, step=5340, lr=0.178000, batch loss=0.190236, epoch loss=2.112679 Batch=599, step=5400, lr=0.177750, batch loss=0.231801, epoch loss=2.344480 Batch=659, step=5460, lr=0.177500, batch loss=0.324446, epoch loss=2.668926 Batch=719, step=5520, lr=0.177250, batch loss=0.325767, epoch loss=2.994694 Batch=779, step=5580, lr=0.177000, batch loss=0.339743, epoch loss=3.334436 Batch=839, step=5640, lr=0.176500, batch loss=0.314087, epoch loss=3.648524 Batch=899, step=5700, lr=0.176500, batch loss=0.279688, epoch loss=3.928212 Batch=959, step=5760, lr=0.176250, batch loss=0.220586, epoch loss=4.148798 Batch=1019, step=5820, lr=0.176000, batch loss=0.333401, epoch loss=4.482198 Batch=1079, step=5880, lr=0.175750, batch loss=0.197656, epoch loss=4.679855 Batch=1139, step=5940, lr=0.175500, batch loss=0.239119, epoch loss=4.918973 Batch=1199, step=6000, lr=0.175250, batch loss=0.186484, epoch loss=5.105458 Epoch=4, step=6000, lr=0.175250, epoch loss=5.105458 Batch=59, step=6060, lr=0.175000, batch loss=0.226236, epoch loss=0.226236 Batch=119, step=6120, lr=0.174750, batch loss=0.184985, epoch loss=0.411221 Batch=179, step=6180, lr=0.174500, batch loss=0.201940, epoch loss=0.613161 Batch=239, step=6240, lr=0.174250, batch loss=0.301316, epoch loss=0.914477 Batch=299, step=6300, lr=0.174000, batch loss=0.203942, epoch loss=1.118419 Batch=359, step=6360, lr=0.173750, batch loss=0.261964, epoch loss=1.380383 Batch=419, step=6420, lr=0.173500, batch loss=0.258060, epoch loss=1.638443 Batch=479, step=6480, lr=0.173250, batch loss=0.233784, epoch loss=1.872227 Batch=539, step=6540, lr=0.173000, batch loss=0.186637, epoch loss=2.058864 Batch=599, step=6600, lr=0.172750, batch loss=0.229240, epoch loss=2.288104 Batch=659, step=6660, lr=0.172500, batch loss=0.316428, epoch loss=2.604531 Batch=719, step=6720, lr=0.172250, batch loss=0.315198, epoch loss=2.919729 Batch=779, step=6780, lr=0.172000, batch loss=0.332306, epoch loss=3.252035 Batch=839, step=6840, lr=0.171750, batch loss=0.304834, epoch loss=3.556869 Batch=899, step=6900, lr=0.171500, batch loss=0.267211, epoch loss=3.824080 Batch=959, step=6960, lr=0.171250, batch loss=0.213950, epoch loss=4.038030 Batch=1019, step=7020, lr=0.171000, batch loss=0.327420, epoch loss=4.365450 Batch=1079, step=7080, lr=0.170750, batch loss=0.175572, epoch loss=4.541021 Batch=1139, step=7140, lr=0.170500, batch loss=0.213098, epoch loss=4.754119 Batch=1199, step=7200, lr=0.170250, batch loss=0.190910, epoch loss=4.945029 Epoch=5, step=7200, lr=0.170250, epoch loss=4.945029 Batch=59, step=7260, lr=0.170000, batch loss=0.224316, epoch loss=0.224316 Batch=119, step=7320, lr=0.169750, batch loss=0.191643, epoch loss=0.415959 Batch=179, step=7380, lr=0.169500, batch loss=0.194990, epoch loss=0.610950 Batch=239, step=7440, lr=0.169250, batch loss=0.292745, epoch loss=0.903695 Batch=299, step=7500, lr=0.169000, batch loss=0.208034, epoch loss=1.111729 Batch=359, step=7560, lr=0.168750, batch loss=0.262130, epoch loss=1.373859 Batch=419, step=7620, lr=0.168500, batch loss=0.254277, epoch loss=1.628136 Batch=479, step=7680, lr=0.168250, batch loss=0.240369, epoch loss=1.868505 Batch=539, step=7740, lr=0.168000, batch loss=0.185218, epoch loss=2.053722 Batch=599, step=7800, lr=0.167750, batch loss=0.226654, epoch loss=2.280376 Batch=659, step=7860, lr=0.167500, batch loss=0.306108, epoch loss=2.586484 Batch=719, step=7920, lr=0.167250, batch loss=0.308316, epoch loss=2.894800 Batch=779, step=7980, lr=0.167000, batch loss=0.322052, epoch loss=3.216852 Batch=839, step=8040, lr=0.166750, batch loss=0.296908, epoch loss=3.513760 Batch=899, step=8100, lr=0.166250, batch loss=0.259807, epoch loss=3.773568 Batch=959, step=8160, lr=0.166250, batch loss=0.209968, epoch loss=3.983536 Batch=1019, step=8220, lr=0.166000, batch loss=0.318695, epoch loss=4.302231 Batch=1079, step=8280, lr=0.165750, batch loss=0.170196, epoch loss=4.472427 Batch=1139, step=8340, lr=0.165500, batch loss=0.207640, epoch loss=4.680066 Batch=1199, step=8400, lr=0.165250, batch loss=0.179801, epoch loss=4.859867 Epoch=6, step=8400, lr=0.165250, epoch loss=4.859867 Batch=59, step=8460, lr=0.165000, batch loss=0.227740, epoch loss=0.227740 Batch=119, step=8520, lr=0.164750, batch loss=0.177081, epoch loss=0.404821 Batch=179, step=8580, lr=0.164500, batch loss=0.188064, epoch loss=0.592884 Batch=239, step=8640, lr=0.164250, batch loss=0.279923, epoch loss=0.872808 Batch=299, step=8700, lr=0.164000, batch loss=0.196671, epoch loss=1.069479 Batch=359, step=8760, lr=0.163750, batch loss=0.254486, epoch loss=1.323965 Batch=419, step=8820, lr=0.163500, batch loss=0.247040, epoch loss=1.571004 Batch=479, step=8880, lr=0.163250, batch loss=0.229472, epoch loss=1.800476 Batch=539, step=8940, lr=0.163000, batch loss=0.180247, epoch loss=1.980723 Batch=599, step=9000, lr=0.162750, batch loss=0.218701, epoch loss=2.199425 Batch=659, step=9060, lr=0.162500, batch loss=0.295142, epoch loss=2.494567 Batch=719, step=9120, lr=0.162250, batch loss=0.294083, epoch loss=2.788650 Batch=779, step=9180, lr=0.162000, batch loss=0.317688, epoch loss=3.106338 Batch=839, step=9240, lr=0.161750, batch loss=0.286534, epoch loss=3.392872 Batch=899, step=9300, lr=0.161500, batch loss=0.252711, epoch loss=3.645583 Batch=959, step=9360, lr=0.161250, batch loss=0.187786, epoch loss=3.833369 Batch=1019, step=9420, lr=0.161000, batch loss=0.316245, epoch loss=4.149614 Batch=1079, step=9480, lr=0.160750, batch loss=0.204988, epoch loss=4.354603 Batch=1139, step=9540, lr=0.160500, batch loss=0.217913, epoch loss=4.572516 Batch=1199, step=9600, lr=0.160250, batch loss=0.167199, epoch loss=4.739715 Epoch=7, step=9600, lr=0.160250, epoch loss=4.739715 Batch=59, step=9660, lr=0.160000, batch loss=0.197202, epoch loss=0.197202 Batch=119, step=9720, lr=0.159750, batch loss=0.166582, epoch loss=0.363784 Batch=179, step=9780, lr=0.159500, batch loss=0.179549, epoch loss=0.543333 Batch=239, step=9840, lr=0.159250, batch loss=0.263205, epoch loss=0.806538 Batch=299, step=9900, lr=0.159000, batch loss=0.183281, epoch loss=0.989818 Batch=359, step=9960, lr=0.158750, batch loss=0.241444, epoch loss=1.231262 Batch=419, step=10020, lr=0.158500, batch loss=0.233641, epoch loss=1.464903 Batch=479, step=10080, lr=0.158250, batch loss=0.215292, epoch loss=1.680196 Batch=539, step=10140, lr=0.158000, batch loss=0.171285, epoch loss=1.851480 Batch=599, step=10200, lr=0.157750, batch loss=0.203186, epoch loss=2.054666 Batch=659, step=10260, lr=0.157500, batch loss=0.282808, epoch loss=2.337474 Batch=719, step=10320, lr=0.157000, batch loss=0.288626, epoch loss=2.626100 Batch=779, step=10380, lr=0.157000, batch loss=0.296392, epoch loss=2.922492 Batch=839, step=10440, lr=0.156750, batch loss=0.267992, epoch loss=3.190484 Batch=899, step=10500, lr=0.156500, batch loss=0.245769, epoch loss=3.436253 Batch=959, step=10560, lr=0.156250, batch loss=0.194817, epoch loss=3.631070 Batch=1019, step=10620, lr=0.156000, batch loss=0.283680, epoch loss=3.914750 Batch=1079, step=10680, lr=0.155750, batch loss=0.167765, epoch loss=4.082515 Batch=1139, step=10740, lr=0.155500, batch loss=0.195456, epoch loss=4.277972 Batch=1199, step=10800, lr=0.155250, batch loss=0.155012, epoch loss=4.432984 Epoch=8, step=10800, lr=0.155250, epoch loss=4.432984 Batch=59, step=10860, lr=0.155000, batch loss=0.188024, epoch loss=0.188024 Batch=119, step=10920, lr=0.154750, batch loss=0.152255, epoch loss=0.340279 Batch=179, step=10980, lr=0.154500, batch loss=0.166946, epoch loss=0.507225 Batch=239, step=11040, lr=0.154250, batch loss=0.241505, epoch loss=0.748730 Batch=299, step=11100, lr=0.154000, batch loss=0.174529, epoch loss=0.923258 Batch=359, step=11160, lr=0.153750, batch loss=0.223294, epoch loss=1.146552 Batch=419, step=11220, lr=0.153500, batch loss=0.230749, epoch loss=1.377301 Batch=479, step=11280, lr=0.153250, batch loss=0.203869, epoch loss=1.581169 Batch=539, step=11340, lr=0.152750, batch loss=0.161282, epoch loss=1.742451 Batch=599, step=11400, lr=0.152750, batch loss=0.185416, epoch loss=1.927867 Batch=659, step=11460, lr=0.152500, batch loss=0.266887, epoch loss=2.194754 Batch=719, step=11520, lr=0.152250, batch loss=0.253148, epoch loss=2.447902 Batch=779, step=11580, lr=0.152000, batch loss=0.274120, epoch loss=2.722021 Batch=839, step=11640, lr=0.151750, batch loss=0.255838, epoch loss=2.977860 Batch=899, step=11700, lr=0.151500, batch loss=0.219006, epoch loss=3.196866 Batch=959, step=11760, lr=0.151250, batch loss=0.184461, epoch loss=3.381327 Batch=1019, step=11820, lr=0.151000, batch loss=0.278925, epoch loss=3.660252 Batch=1079, step=11880, lr=0.150750, batch loss=0.162278, epoch loss=3.822530 Batch=1139, step=11940, lr=0.150500, batch loss=0.190312, epoch loss=4.012842 Batch=1199, step=12000, lr=0.150250, batch loss=0.140181, epoch loss=4.153023 Epoch=9, step=12000, lr=0.150250, epoch loss=4.153023 Batch=59, step=12060, lr=0.150000, batch loss=0.157879, epoch loss=0.157879 Batch=119, step=12120, lr=0.149750, batch loss=0.128380, epoch loss=0.286260 Batch=179, step=12180, lr=0.149250, batch loss=0.152908, epoch loss=0.439167 Batch=239, step=12240, lr=0.149250, batch loss=0.223473, epoch loss=0.662640 Batch=299, step=12300, lr=0.149000, batch loss=0.144439, epoch loss=0.807079 Batch=359, step=12360, lr=0.148750, batch loss=0.196226, epoch loss=1.003305 Batch=419, step=12420, lr=0.148500, batch loss=0.208957, epoch loss=1.212262 Batch=479, step=12480, lr=0.148250, batch loss=0.179713, epoch loss=1.391975 Batch=539, step=12540, lr=0.147750, batch loss=0.144210, epoch loss=1.536185 Batch=599, step=12600, lr=0.147750, batch loss=0.151997, epoch loss=1.688182 Batch=659, step=12660, lr=0.147500, batch loss=0.226329, epoch loss=1.914512 Batch=719, step=12720, lr=0.147250, batch loss=0.235437, epoch loss=2.149948 Batch=779, step=12780, lr=0.147000, batch loss=0.254912, epoch loss=2.404861 Batch=839, step=12840, lr=0.146500, batch loss=0.233790, epoch loss=2.638651 Batch=899, step=12900, lr=0.146250, batch loss=0.217705, epoch loss=2.856355 Batch=959, step=12960, lr=0.146250, batch loss=0.153860, epoch loss=3.010215 Batch=1019, step=13020, lr=0.145750, batch loss=0.264367, epoch loss=3.274582 Batch=1079, step=13080, lr=0.145750, batch loss=0.114289, epoch loss=3.388871 Batch=1139, step=13140, lr=0.145500, batch loss=0.157286, epoch loss=3.546157 Batch=1199, step=13200, lr=0.145250, batch loss=0.119542, epoch loss=3.665699 Epoch=10, step=13200, lr=0.145250, epoch loss=3.665699 Batch=59, step=13260, lr=0.145000, batch loss=0.145201, epoch loss=0.145201 Batch=119, step=13320, lr=0.144750, batch loss=0.120492, epoch loss=0.265693 Batch=179, step=13380, lr=0.144500, batch loss=0.129959, epoch loss=0.395652 Batch=239, step=13440, lr=0.144250, batch loss=0.191535, epoch loss=0.587187 Batch=299, step=13500, lr=0.144000, batch loss=0.116304, epoch loss=0.703491 Batch=359, step=13560, lr=0.143750, batch loss=0.162443, epoch loss=0.865934 Batch=419, step=13620, lr=0.143500, batch loss=0.162237, epoch loss=1.028170 Batch=479, step=13680, lr=0.143250, batch loss=0.150554, epoch loss=1.178725 Batch=539, step=13740, lr=0.143000, batch loss=0.119574, epoch loss=1.298299 Batch=599, step=13800, lr=0.142750, batch loss=0.122335, epoch loss=1.420634 Batch=659, step=13860, lr=0.142500, batch loss=0.179351, epoch loss=1.599985 Batch=719, step=13920, lr=0.142250, batch loss=0.176397, epoch loss=1.776382 Batch=779, step=13980, lr=0.142000, batch loss=0.201181, epoch loss=1.977562 Batch=839, step=14040, lr=0.141750, batch loss=0.188698, epoch loss=2.166261 Batch=899, step=14100, lr=0.141500, batch loss=0.159913, epoch loss=2.326174 Batch=959, step=14160, lr=0.141250, batch loss=0.135326, epoch loss=2.461500 Batch=1019, step=14220, lr=0.141000, batch loss=0.273083, epoch loss=2.734583 Batch=1079, step=14280, lr=0.140750, batch loss=0.085328, epoch loss=2.819910 Batch=1139, step=14340, lr=0.140500, batch loss=0.134987, epoch loss=2.954897 Batch=1199, step=14400, lr=0.140250, batch loss=0.091711, epoch loss=3.046608 Epoch=11, step=14400, lr=0.140250, epoch loss=3.046608 Batch=59, step=14460, lr=0.140000, batch loss=0.114667, epoch loss=0.114667 Batch=119, step=14520, lr=0.139750, batch loss=0.111064, epoch loss=0.225731 Batch=179, step=14580, lr=0.139500, batch loss=0.106766, epoch loss=0.332496 Batch=239, step=14640, lr=0.139250, batch loss=0.142501, epoch loss=0.474997 Batch=299, step=14700, lr=0.139000, batch loss=0.082062, epoch loss=0.557060 Batch=359, step=14760, lr=0.138750, batch loss=0.123701, epoch loss=0.680761 Batch=419, step=14820, lr=0.138500, batch loss=0.133779, epoch loss=0.814540 Batch=479, step=14880, lr=0.138250, batch loss=0.100178, epoch loss=0.914718 Batch=539, step=14940, lr=0.138000, batch loss=0.089913, epoch loss=1.004631 Batch=599, step=15000, lr=0.137750, batch loss=0.087092, epoch loss=1.091723 Batch=659, step=15060, lr=0.137500, batch loss=0.137927, epoch loss=1.229650 Batch=719, step=15120, lr=0.137250, batch loss=0.175715, epoch loss=1.405365 Batch=779, step=15180, lr=0.137000, batch loss=0.330884, epoch loss=1.736249 Batch=839, step=15240, lr=0.136750, batch loss=0.135225, epoch loss=1.871473 Batch=899, step=15300, lr=0.136500, batch loss=0.113874, epoch loss=1.985347 Batch=959, step=15360, lr=0.136250, batch loss=0.101126, epoch loss=2.086474 Batch=1019, step=15420, lr=0.136000, batch loss=0.166944, epoch loss=2.253417 Batch=1079, step=15480, lr=0.135750, batch loss=0.044917, epoch loss=2.298334 Batch=1139, step=15540, lr=0.135500, batch loss=0.101734, epoch loss=2.400068 Batch=1199, step=15600, lr=0.135250, batch loss=0.064010, epoch loss=2.464078 Epoch=12, step=15600, lr=0.135250, epoch loss=2.464078 Batch=59, step=15660, lr=0.135000, batch loss=0.080494, epoch loss=0.080494 Batch=119, step=15720, lr=0.134750, batch loss=0.120145, epoch loss=0.200638 Batch=179, step=15780, lr=0.134500, batch loss=0.093557, epoch loss=0.294195 Batch=239, step=15840, lr=0.134250, batch loss=0.098313, epoch loss=0.392508 Batch=299, step=15900, lr=0.134000, batch loss=0.041294, epoch loss=0.433802 Batch=359, step=15960, lr=0.133750, batch loss=0.085868, epoch loss=0.519670 Batch=419, step=16020, lr=0.133500, batch loss=0.082365, epoch loss=0.602035 Batch=479, step=16080, lr=0.133250, batch loss=0.064846, epoch loss=0.666880 Batch=539, step=16140, lr=0.133000, batch loss=0.057516, epoch loss=0.724396 Batch=599, step=16200, lr=0.132750, batch loss=0.104427, epoch loss=0.828823 Batch=659, step=16260, lr=0.132500, batch loss=0.080496, epoch loss=0.909319 Batch=719, step=16320, lr=0.132250, batch loss=0.072819, epoch loss=0.982138 Batch=779, step=16380, lr=0.132000, batch loss=0.085473, epoch loss=1.067612 Batch=839, step=16440, lr=0.131750, batch loss=0.114211, epoch loss=1.181823 Batch=899, step=16500, lr=0.131500, batch loss=0.152166, epoch loss=1.333988 Batch=959, step=16560, lr=0.131250, batch loss=0.059933, epoch loss=1.393921 Batch=1019, step=16620, lr=0.131000, batch loss=0.144498, epoch loss=1.538419 Batch=1079, step=16680, lr=0.130750, batch loss=0.022138, epoch loss=1.560557 Batch=1139, step=16740, lr=0.130500, batch loss=0.048356, epoch loss=1.608913 Batch=1199, step=16800, lr=0.130250, batch loss=0.027421, epoch loss=1.636334 Epoch=13, step=16800, lr=0.130250, epoch loss=1.636334 Batch=59, step=16860, lr=0.130000, batch loss=0.035027, epoch loss=0.035027 Batch=119, step=16920, lr=0.129750, batch loss=0.049636, epoch loss=0.084663 Batch=179, step=16980, lr=0.129500, batch loss=0.046322, epoch loss=0.130985 Batch=239, step=17040, lr=0.129250, batch loss=0.079075, epoch loss=0.210061 Batch=299, step=17100, lr=0.129000, batch loss=0.081327, epoch loss=0.291387 Batch=359, step=17160, lr=0.128750, batch loss=0.053428, epoch loss=0.344815 Batch=419, step=17220, lr=0.128500, batch loss=0.055955, epoch loss=0.400769 Batch=479, step=17280, lr=0.128250, batch loss=0.030633, epoch loss=0.431402 Batch=539, step=17340, lr=0.128000, batch loss=0.039520, epoch loss=0.470922 Batch=599, step=17400, lr=0.127750, batch loss=0.034647, epoch loss=0.505569 Batch=659, step=17460, lr=0.127500, batch loss=0.047671, epoch loss=0.553240 Batch=719, step=17520, lr=0.127250, batch loss=0.041450, epoch loss=0.594690 Batch=779, step=17580, lr=0.127000, batch loss=0.068199, epoch loss=0.662888 Batch=839, step=17640, lr=0.126750, batch loss=0.071388, epoch loss=0.734276 Batch=899, step=17700, lr=0.126500, batch loss=0.099528, epoch loss=0.833805 Batch=959, step=17760, lr=0.126250, batch loss=0.049490, epoch loss=0.883295 Batch=1019, step=17820, lr=0.126000, batch loss=0.102640, epoch loss=0.985935 Batch=1079, step=17880, lr=0.125750, batch loss=0.014117, epoch loss=1.000052 Batch=1139, step=17940, lr=0.125500, batch loss=0.030746, epoch loss=1.030798 Batch=1199, step=18000, lr=0.125250, batch loss=0.016362, epoch loss=1.047161 Epoch=14, step=18000, lr=0.125250, epoch loss=1.047161 Batch=59, step=18060, lr=0.124750, batch loss=0.014139, epoch loss=0.014139 Batch=119, step=18120, lr=0.124750, batch loss=0.028850, epoch loss=0.042989 Batch=179, step=18180, lr=0.124500, batch loss=0.073491, epoch loss=0.116480 Batch=239, step=18240, lr=0.124250, batch loss=0.039201, epoch loss=0.155681 Batch=299, step=18300, lr=0.124000, batch loss=0.013940, epoch loss=0.169621 Batch=359, step=18360, lr=0.123750, batch loss=0.038798, epoch loss=0.208419 Batch=419, step=18420, lr=0.123500, batch loss=0.030493, epoch loss=0.238912 Batch=479, step=18480, lr=0.123250, batch loss=0.013113, epoch loss=0.252025 Batch=539, step=18540, lr=0.123000, batch loss=0.021210, epoch loss=0.273235 Batch=599, step=18600, lr=0.122750, batch loss=0.026691, epoch loss=0.299926 Batch=659, step=18660, lr=0.122500, batch loss=0.029315, epoch loss=0.329241 Batch=719, step=18720, lr=0.122250, batch loss=0.044850, epoch loss=0.374091 Batch=779, step=18780, lr=0.122000, batch loss=0.100304, epoch loss=0.474395 Batch=839, step=18840, lr=0.121750, batch loss=0.058813, epoch loss=0.533209 Batch=899, step=18900, lr=0.121500, batch loss=0.070565, epoch loss=0.603774 Batch=959, step=18960, lr=0.121250, batch loss=0.014527, epoch loss=0.618300 Batch=1019, step=19020, lr=0.121000, batch loss=0.017788, epoch loss=0.636088 Batch=1079, step=19080, lr=0.120750, batch loss=0.004093, epoch loss=0.640181 Batch=1139, step=19140, lr=0.120500, batch loss=0.024575, epoch loss=0.664756 Batch=1199, step=19200, lr=0.120250, batch loss=0.010178, epoch loss=0.674935 Epoch=15, step=19200, lr=0.120250, epoch loss=0.674935 Batch=59, step=19260, lr=0.120000, batch loss=0.004858, epoch loss=0.004858 Batch=119, step=19320, lr=0.119750, batch loss=0.019561, epoch loss=0.024419 Batch=179, step=19380, lr=0.119500, batch loss=0.045635, epoch loss=0.070054 Batch=239, step=19440, lr=0.119250, batch loss=0.021389, epoch loss=0.091444 Batch=299, step=19500, lr=0.119000, batch loss=0.012320, epoch loss=0.103763 Batch=359, step=19560, lr=0.118750, batch loss=0.022963, epoch loss=0.126727 Batch=419, step=19620, lr=0.118500, batch loss=0.019579, epoch loss=0.146306 Batch=479, step=19680, lr=0.118250, batch loss=0.006423, epoch loss=0.152729 Batch=539, step=19740, lr=0.118000, batch loss=0.018149, epoch loss=0.170877 Batch=599, step=19800, lr=0.117750, batch loss=0.024860, epoch loss=0.195737 Batch=659, step=19860, lr=0.117500, batch loss=0.019407, epoch loss=0.215144 Batch=719, step=19920, lr=0.117250, batch loss=0.050984, epoch loss=0.266128 Batch=779, step=19980, lr=0.117000, batch loss=0.080470, epoch loss=0.346598 Batch=839, step=20040, lr=0.116750, batch loss=0.031877, epoch loss=0.378475 Batch=899, step=20100, lr=0.116500, batch loss=0.029503, epoch loss=0.407978 Batch=959, step=20160, lr=0.116250, batch loss=0.013141, epoch loss=0.421120 Batch=1019, step=20220, lr=0.116000, batch loss=0.014431, epoch loss=0.435550 Batch=1079, step=20280, lr=0.115750, batch loss=0.001378, epoch loss=0.436928 Batch=1139, step=20340, lr=0.115500, batch loss=0.015291, epoch loss=0.452220 Batch=1199, step=20400, lr=0.115250, batch loss=0.006391, epoch loss=0.458610 Epoch=16, step=20400, lr=0.115250, epoch loss=0.458610 Batch=59, step=20460, lr=0.115000, batch loss=0.003040, epoch loss=0.003040 Batch=119, step=20520, lr=0.114750, batch loss=0.009073, epoch loss=0.012113 Batch=179, step=20580, lr=0.114500, batch loss=0.023438, epoch loss=0.035551 Batch=239, step=20640, lr=0.114250, batch loss=0.015552, epoch loss=0.051103 Batch=299, step=20700, lr=0.114000, batch loss=0.004585, epoch loss=0.055688 Batch=359, step=20760, lr=0.113750, batch loss=0.014294, epoch loss=0.069982 Batch=419, step=20820, lr=0.113500, batch loss=0.014952, epoch loss=0.084934 Batch=479, step=20880, lr=0.113250, batch loss=0.004711, epoch loss=0.089646 Batch=539, step=20940, lr=0.113000, batch loss=0.015358, epoch loss=0.105003 Batch=599, step=21000, lr=0.112750, batch loss=0.018882, epoch loss=0.123885 Batch=659, step=21060, lr=0.112500, batch loss=0.015698, epoch loss=0.139583 Batch=719, step=21120, lr=0.112250, batch loss=0.040183, epoch loss=0.179767 Batch=779, step=21180, lr=0.112000, batch loss=0.073999, epoch loss=0.253765 Batch=839, step=21240, lr=0.111750, batch loss=0.026566, epoch loss=0.280331 Batch=899, step=21300, lr=0.111500, batch loss=0.035953, epoch loss=0.316284 Batch=959, step=21360, lr=0.111250, batch loss=0.009582, epoch loss=0.325866 Batch=1019, step=21420, lr=0.111000, batch loss=0.011559, epoch loss=0.337425 Batch=1079, step=21480, lr=0.110750, batch loss=0.000556, epoch loss=0.337982 Batch=1139, step=21540, lr=0.110500, batch loss=0.012006, epoch loss=0.349988 Batch=1199, step=21600, lr=0.110250, batch loss=0.005099, epoch loss=0.355087 Epoch=17, step=21600, lr=0.110250, epoch loss=0.355087 Batch=59, step=21660, lr=0.110000, batch loss=0.001812, epoch loss=0.001812 Batch=119, step=21720, lr=0.109750, batch loss=0.006739, epoch loss=0.008551 Batch=179, step=21780, lr=0.109500, batch loss=0.013540, epoch loss=0.022091 Batch=239, step=21840, lr=0.109000, batch loss=0.015649, epoch loss=0.037740 Batch=299, step=21900, lr=0.109000, batch loss=0.003353, epoch loss=0.041093 Batch=359, step=21960, lr=0.108750, batch loss=0.010529, epoch loss=0.051622 Batch=419, step=22020, lr=0.108500, batch loss=0.011395, epoch loss=0.063017 Batch=479, step=22080, lr=0.108250, batch loss=0.002814, epoch loss=0.065830 Batch=539, step=22140, lr=0.108000, batch loss=0.018001, epoch loss=0.083831 Batch=599, step=22200, lr=0.107750, batch loss=0.016465, epoch loss=0.100296 Batch=659, step=22260, lr=0.107500, batch loss=0.015686, epoch loss=0.115982 Batch=719, step=22320, lr=0.107250, batch loss=0.026615, epoch loss=0.142596 Batch=779, step=22380, lr=0.107000, batch loss=0.036463, epoch loss=0.179060 Batch=839, step=22440, lr=0.106750, batch loss=0.026658, epoch loss=0.205717 Batch=899, step=22500, lr=0.106500, batch loss=0.026451, epoch loss=0.232168 Batch=959, step=22560, lr=0.106250, batch loss=0.008927, epoch loss=0.241095 Batch=1019, step=22620, lr=0.106000, batch loss=0.009057, epoch loss=0.250151 Batch=1079, step=22680, lr=0.105750, batch loss=0.000301, epoch loss=0.250453 Batch=1139, step=22740, lr=0.105500, batch loss=0.010664, epoch loss=0.261116 Batch=1199, step=22800, lr=0.105250, batch loss=0.004553, epoch loss=0.265669 Epoch=18, step=22800, lr=0.105250, epoch loss=0.265669 Batch=59, step=22860, lr=0.105000, batch loss=0.001711, epoch loss=0.001711 Batch=119, step=22920, lr=0.104750, batch loss=0.005300, epoch loss=0.007012 Batch=179, step=22980, lr=0.104500, batch loss=0.010728, epoch loss=0.017740 Batch=239, step=23040, lr=0.104250, batch loss=0.009559, epoch loss=0.027298 Batch=299, step=23100, lr=0.104000, batch loss=0.009434, epoch loss=0.036733 Batch=359, step=23160, lr=0.103750, batch loss=0.012454, epoch loss=0.049187 Batch=419, step=23220, lr=0.103500, batch loss=0.010662, epoch loss=0.059849 Batch=479, step=23280, lr=0.103250, batch loss=0.002380, epoch loss=0.062229 Batch=539, step=23340, lr=0.103000, batch loss=0.016475, epoch loss=0.078704 Batch=599, step=23400, lr=0.102750, batch loss=0.013516, epoch loss=0.092220 Batch=659, step=23460, lr=0.102500, batch loss=0.011466, epoch loss=0.103686 Batch=719, step=23520, lr=0.102250, batch loss=0.011924, epoch loss=0.115610 Batch=779, step=23580, lr=0.102000, batch loss=0.018674, epoch loss=0.134283 Batch=839, step=23640, lr=0.101750, batch loss=0.027666, epoch loss=0.161949 Batch=899, step=23700, lr=0.101500, batch loss=0.021057, epoch loss=0.183006 Batch=959, step=23760, lr=0.101250, batch loss=0.011129, epoch loss=0.194135 Batch=1019, step=23820, lr=0.101000, batch loss=0.009800, epoch loss=0.203935 Batch=1079, step=23880, lr=0.100750, batch loss=0.000723, epoch loss=0.204659 Batch=1139, step=23940, lr=0.100500, batch loss=0.008976, epoch loss=0.213635 Batch=1199, step=24000, lr=0.100250, batch loss=0.004625, epoch loss=0.218259 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218259 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**************..******************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%.................****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 16:39.00 ---> saved as "06f7440f83458ff052e286ec7694e086fd2495121a40d9cd22c1a87241ecedd3" Job succeeded 2025-03-20 16:39.01: Job succeeded