2025-04-07 01:09.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (463c57039dce5e7ebd23e4739665cbc647a282e4) (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 463c5703 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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-04-07 01:09.40: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925-fedora-41-5.3_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04" 2025-04-07 01:09.40: 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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-04-07 01:09.40: Waiting for resource in pool OCluster 2025-04-07 01:09.40: Waiting for worker… 2025-04-07 01:09.41: Got resource from pool OCluster Building on doris.caelum.ci.dev All commits already cached HEAD is now at 463c5703 Fix ppx_minidebug version, update cudajit version (from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925) Unable to find image 'ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925' locally docker.io/ocaml/opam@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925: Pulling from ocaml/opam 5df61545bdd9: Pulling fs layer 5df61545bdd9: Verifying Checksum 5df61545bdd9: Download complete 5df61545bdd9: Pull complete Digest: sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925 Status: Downloaded newer image for ocaml/opam@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925 2025-04-07 01:11.45 ---> 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 openh264 (From Cisco) - x86_ 100% | 152.0 B/s | 989.0 B | 00m06s Fedora 41 - x86_64 - Updates 100% | 12.2 KiB/s | 23.5 KiB | 00m02s Fedora 41 - x86_64 100% | 8.2 KiB/s | 25.8 KiB | 00m03s Fedora 41 - x86_64 - Updates 100% | 260.9 KiB/s | 5.5 MiB | 00m22s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-04-07 01:12.22 ---> saved as "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-04-07 01:12.22 ---> 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 [NOTE] The 'jobs' option was reset, its value was 71 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=71 --global 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 2025-04-07 01:13.41 ---> 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 2025-04-07 01:13.41 ---> saved as "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-04-07 01:13.41 ---> saved as "b766911cfcef799c6c2bb8aec82e30e2bd662c95ed64a05054ff7a173457d537" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..598efb46ec master -> origin/master 598efb46ec Merge pull request #27716 from avsm/fix-mpopcnt <><> 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) 2025-04-07 01:14.37 ---> saved as "daaf41fc4379f41e18473632af51d746310376bd21afb6c692a1dae51a51fa54" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-04-07 01:14.38 ---> saved as "69e366ab8a265813ee0ac0a441e782754aaf2e94f08173d0fa246b140cf30d06" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-04-07 01:14.40 ---> saved as "703c548c7c795d9c5ee7569fbcd78c801e0a126613f80f3ea7a70b5bf4aec4ca" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-04-07 01:14.40 ---> saved as "7dd10b54f7b5d31af742410803a7de15b296f1f41843896255fd67f89137ab40" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "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% | 65.5 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 30.5 KiB/s | 28.8 KiB | 00m01s - Running transaction - [1/3] Verify package files 100% | 0.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 43.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 756.4 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-04-07 01:14.55 ---> saved as "861b071353e198c8fb7678b912ab755b5e9e095f6e6fd11a377379b9c2e76eb8" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 74 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.0 - install dune-configurator 3.18.0 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (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 fmt.0.10.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (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-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved dune.3.18.0, dune-configurator.3.18.0 (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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved result.1.5 (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 thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.18.0 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> 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 variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-04-07 01:16.03 ---> saved as "e7261d0d288dc1752e461c64c97273d65d74223538b4aab7524e436d8becaf03" /src: (copy (src .) (dst /src)) 2025-04-07 01:16.04 ---> saved as "1fb1fe52c83663dabe1e0819e571a8d33f3e5d961d2bf9782824d1706fd2a5cf" /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/3f9e87ab43d1fd3b0086448f0dfb8691/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/88cf9e5c99e230366e92abce82bbefb9/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182500, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337043, epoch loss=2.761032 Batch=719, step=4320, lr=0.182250, batch loss=0.347191, epoch loss=3.108223 Batch=779, step=4380, lr=0.182000, batch loss=0.346256, epoch loss=3.454478 Batch=839, step=4440, lr=0.181750, batch loss=0.317830, epoch loss=3.772308 Batch=899, step=4500, lr=0.181500, batch loss=0.283812, epoch loss=4.056120 Batch=959, step=4560, lr=0.181250, batch loss=0.238499, epoch loss=4.294619 Batch=1019, step=4620, lr=0.181000, batch loss=0.336729, epoch loss=4.631348 Batch=1079, step=4680, lr=0.180750, batch loss=0.208768, epoch loss=4.840116 Batch=1139, step=4740, lr=0.180500, batch loss=0.249116, epoch loss=5.089232 Batch=1199, step=4800, lr=0.180250, batch loss=0.191321, epoch loss=5.280553 Epoch=3, step=4800, lr=0.180250, epoch loss=5.280553 Batch=59, step=4860, lr=0.180000, batch loss=0.225359, epoch loss=0.225359 Batch=119, step=4920, lr=0.179750, batch loss=0.186345, epoch loss=0.411704 Batch=179, step=4980, lr=0.179500, batch loss=0.205647, epoch loss=0.617351 Batch=239, step=5040, lr=0.179250, batch loss=0.307201, epoch loss=0.924552 Batch=299, step=5100, lr=0.179000, batch loss=0.208296, epoch loss=1.132848 Batch=359, step=5160, lr=0.178750, batch loss=0.276728, epoch loss=1.409576 Batch=419, step=5220, lr=0.178500, batch loss=0.272004, epoch loss=1.681581 Batch=479, step=5280, lr=0.178250, batch loss=0.249451, epoch loss=1.931032 Batch=539, step=5340, lr=0.178000, batch loss=0.196906, epoch loss=2.127937 Batch=599, step=5400, lr=0.177750, batch loss=0.240410, epoch loss=2.368347 Batch=659, step=5460, lr=0.177500, batch loss=0.319016, epoch loss=2.687364 Batch=719, step=5520, lr=0.177250, batch loss=0.325736, epoch loss=3.013100 Batch=779, step=5580, lr=0.177000, batch loss=0.346827, epoch loss=3.359927 Batch=839, step=5640, lr=0.176750, batch loss=0.305871, epoch loss=3.665798 Batch=899, step=5700, lr=0.176500, batch loss=0.266232, epoch loss=3.932030 Batch=959, step=5760, lr=0.176250, batch loss=0.198955, epoch loss=4.130985 Batch=1019, step=5820, lr=0.176000, batch loss=0.303065, epoch loss=4.434050 Batch=1079, step=5880, lr=0.175750, batch loss=0.184016, epoch loss=4.618067 Batch=1139, step=5940, lr=0.175500, batch loss=0.224044, epoch loss=4.842111 Batch=1199, step=6000, lr=0.175250, batch loss=0.186384, epoch loss=5.028495 Epoch=4, step=6000, lr=0.175250, epoch loss=5.028495 Batch=59, step=6060, lr=0.175000, batch loss=0.230433, epoch loss=0.230433 Batch=119, step=6120, lr=0.174750, batch loss=0.196128, epoch loss=0.426561 Batch=179, step=6180, lr=0.174500, batch loss=0.200732, epoch loss=0.627293 Batch=239, step=6240, lr=0.174250, batch loss=0.302287, epoch loss=0.929580 Batch=299, step=6300, lr=0.174000, batch loss=0.212983, epoch loss=1.142562 Batch=359, step=6360, lr=0.173750, batch loss=0.273178, epoch loss=1.415740 Batch=419, step=6420, lr=0.173500, batch loss=0.267190, epoch loss=1.682930 Batch=479, step=6480, lr=0.173250, batch loss=0.242212, epoch loss=1.925142 Batch=539, step=6540, lr=0.173000, batch loss=0.196643, epoch loss=2.121786 Batch=599, step=6600, lr=0.172750, batch loss=0.233382, epoch loss=2.355167 Batch=659, step=6660, lr=0.172500, batch loss=0.313384, epoch loss=2.668552 Batch=719, step=6720, lr=0.172250, batch loss=0.317895, epoch loss=2.986446 Batch=779, step=6780, lr=0.172000, batch loss=0.330156, epoch loss=3.316602 Batch=839, step=6840, lr=0.171750, batch loss=0.305607, epoch loss=3.622209 Batch=899, step=6900, lr=0.171500, batch loss=0.270048, epoch loss=3.892257 Batch=959, step=6960, lr=0.171250, batch loss=0.208657, epoch loss=4.100914 Batch=1019, step=7020, lr=0.171000, batch loss=0.327031, epoch loss=4.427945 Batch=1079, step=7080, lr=0.170750, batch loss=0.176462, epoch loss=4.604407 Batch=1139, step=7140, lr=0.170500, batch loss=0.215532, epoch loss=4.819939 Batch=1199, step=7200, lr=0.170250, batch loss=0.181315, epoch loss=5.001254 Epoch=5, step=7200, lr=0.170250, epoch loss=5.001254 Batch=59, step=7260, lr=0.170000, batch loss=0.230418, epoch loss=0.230418 Batch=119, step=7320, lr=0.169750, batch loss=0.186687, epoch loss=0.417104 Batch=179, step=7380, lr=0.169500, batch loss=0.194319, epoch loss=0.611424 Batch=239, step=7440, lr=0.169250, batch loss=0.293253, epoch loss=0.904677 Batch=299, step=7500, lr=0.169000, batch loss=0.204765, epoch loss=1.109441 Batch=359, step=7560, lr=0.168750, batch loss=0.263706, epoch loss=1.373147 Batch=419, step=7620, lr=0.168500, batch loss=0.256471, epoch loss=1.629618 Batch=479, step=7680, lr=0.168250, batch loss=0.236675, epoch loss=1.866293 Batch=539, step=7740, lr=0.168000, batch loss=0.189048, epoch loss=2.055341 Batch=599, step=7800, lr=0.167750, batch loss=0.231511, epoch loss=2.286852 Batch=659, step=7860, lr=0.167500, batch loss=0.306995, epoch loss=2.593847 Batch=719, step=7920, lr=0.167250, batch loss=0.306898, epoch loss=2.900744 Batch=779, step=7980, lr=0.167000, batch loss=0.322879, epoch loss=3.223624 Batch=839, step=8040, lr=0.166750, batch loss=0.295659, epoch loss=3.519283 Batch=899, step=8100, lr=0.166500, batch loss=0.260234, epoch loss=3.779517 Batch=959, step=8160, lr=0.166250, batch loss=0.207371, epoch loss=3.986889 Batch=1019, step=8220, lr=0.166000, batch loss=0.316722, epoch loss=4.303610 Batch=1079, step=8280, lr=0.165750, batch loss=0.169868, epoch loss=4.473479 Batch=1139, step=8340, lr=0.165500, batch loss=0.206993, epoch loss=4.680472 Batch=1199, step=8400, lr=0.165250, batch loss=0.178261, epoch loss=4.858733 Epoch=6, step=8400, lr=0.165250, epoch loss=4.858733 Batch=59, step=8460, lr=0.165000, batch loss=0.227930, epoch loss=0.227930 Batch=119, step=8520, lr=0.164750, batch loss=0.176155, epoch loss=0.404085 Batch=179, step=8580, lr=0.164500, batch loss=0.187868, epoch loss=0.591953 Batch=239, step=8640, lr=0.164250, batch loss=0.277238, epoch loss=0.869190 Batch=299, step=8700, lr=0.164000, batch loss=0.193742, epoch loss=1.062932 Batch=359, step=8760, lr=0.163750, batch loss=0.246774, epoch loss=1.309706 Batch=419, step=8820, lr=0.163500, batch loss=0.244469, epoch loss=1.554175 Batch=479, step=8880, lr=0.163250, batch loss=0.228881, epoch loss=1.783056 Batch=539, step=8940, lr=0.163000, batch loss=0.177725, epoch loss=1.960781 Batch=599, step=9000, lr=0.162750, batch loss=0.218452, epoch loss=2.179232 Batch=659, step=9060, lr=0.162500, batch loss=0.293586, epoch loss=2.472818 Batch=719, step=9120, lr=0.162250, batch loss=0.294934, epoch loss=2.767752 Batch=779, step=9180, lr=0.162000, batch loss=0.315144, epoch loss=3.082896 Batch=839, step=9240, lr=0.161750, batch loss=0.286920, epoch loss=3.369816 Batch=899, step=9300, lr=0.161500, batch loss=0.250149, epoch loss=3.619965 Batch=959, step=9360, lr=0.161250, batch loss=0.192671, epoch loss=3.812637 Batch=1019, step=9420, lr=0.161000, batch loss=0.315849, epoch loss=4.128486 Batch=1079, step=9480, lr=0.160750, batch loss=0.190182, epoch loss=4.318668 Batch=1139, step=9540, lr=0.160500, batch loss=0.211374, epoch loss=4.530042 Batch=1199, step=9600, lr=0.160250, batch loss=0.166116, epoch loss=4.696158 Epoch=7, step=9600, lr=0.160250, epoch loss=4.696158 Batch=59, step=9660, lr=0.160000, batch loss=0.199612, epoch loss=0.199612 Batch=119, step=9720, lr=0.159750, batch loss=0.163667, epoch loss=0.363279 Batch=179, step=9780, lr=0.159500, batch loss=0.178020, epoch loss=0.541299 Batch=239, step=9840, lr=0.159250, batch loss=0.263230, epoch loss=0.804530 Batch=299, step=9900, lr=0.159000, batch loss=0.179347, epoch loss=0.983877 Batch=359, step=9960, lr=0.158750, batch loss=0.242599, epoch loss=1.226476 Batch=419, step=10020, lr=0.158500, batch loss=0.237853, epoch loss=1.464329 Batch=479, step=10080, lr=0.158250, batch loss=0.227150, epoch loss=1.691479 Batch=539, step=10140, lr=0.158000, batch loss=0.185533, epoch loss=1.877012 Batch=599, step=10200, lr=0.157750, batch loss=0.203831, epoch loss=2.080844 Batch=659, step=10260, lr=0.157500, batch loss=0.279832, epoch loss=2.360676 Batch=719, step=10320, lr=0.157250, batch loss=0.286461, epoch loss=2.647137 Batch=779, step=10380, lr=0.157000, batch loss=0.293371, epoch loss=2.940508 Batch=839, step=10440, lr=0.156750, batch loss=0.265529, epoch loss=3.206037 Batch=899, step=10500, lr=0.156500, batch loss=0.243394, epoch loss=3.449430 Batch=959, step=10560, lr=0.156250, batch loss=0.195028, epoch loss=3.644458 Batch=1019, step=10620, lr=0.156000, batch loss=0.283165, epoch loss=3.927624 Batch=1079, step=10680, lr=0.155750, batch loss=0.170881, epoch loss=4.098505 Batch=1139, step=10740, lr=0.155500, batch loss=0.196673, epoch loss=4.295178 Batch=1199, step=10800, lr=0.155250, batch loss=0.154217, epoch loss=4.449395 Epoch=8, step=10800, lr=0.155250, epoch loss=4.449395 Batch=59, step=10860, lr=0.155000, batch loss=0.178712, epoch loss=0.178712 Batch=119, step=10920, lr=0.154750, batch loss=0.151004, epoch loss=0.329717 Batch=179, step=10980, lr=0.154500, batch loss=0.165777, epoch loss=0.495493 Batch=239, step=11040, lr=0.154250, batch loss=0.239931, epoch loss=0.735425 Batch=299, step=11100, lr=0.154000, batch loss=0.172603, epoch loss=0.908027 Batch=359, step=11160, lr=0.153750, batch loss=0.221586, epoch loss=1.129613 Batch=419, step=11220, lr=0.153500, batch loss=0.231776, epoch loss=1.361390 Batch=479, step=11280, lr=0.153250, batch loss=0.200212, epoch loss=1.561601 Batch=539, step=11340, lr=0.153000, batch loss=0.161987, epoch loss=1.723588 Batch=599, step=11400, lr=0.152750, batch loss=0.181361, epoch loss=1.904950 Batch=659, step=11460, lr=0.152500, batch loss=0.263564, epoch loss=2.168513 Batch=719, step=11520, lr=0.152250, batch loss=0.252951, epoch loss=2.421464 Batch=779, step=11580, lr=0.152000, batch loss=0.271634, epoch loss=2.693099 Batch=839, step=11640, lr=0.151750, batch loss=0.254007, epoch loss=2.947106 Batch=899, step=11700, lr=0.151500, batch loss=0.211990, epoch loss=3.159096 Batch=959, step=11760, lr=0.151250, batch loss=0.163931, epoch loss=3.323027 Batch=1019, step=11820, lr=0.151000, batch loss=0.267884, epoch loss=3.590912 Batch=1079, step=11880, lr=0.150750, batch loss=0.148328, epoch loss=3.739239 Batch=1139, step=11940, lr=0.150500, batch loss=0.186994, epoch loss=3.926233 Batch=1199, step=12000, lr=0.150250, batch loss=0.138618, epoch loss=4.064851 Epoch=9, step=12000, lr=0.150250, epoch loss=4.064851 Batch=59, step=12060, lr=0.150000, batch loss=0.156289, epoch loss=0.156289 Batch=119, step=12120, lr=0.149750, batch loss=0.127602, epoch loss=0.283891 Batch=179, step=12180, lr=0.149500, batch loss=0.149092, epoch loss=0.432984 Batch=239, step=12240, lr=0.149250, batch loss=0.217614, epoch loss=0.650597 Batch=299, step=12300, lr=0.149000, batch loss=0.139500, epoch loss=0.790097 Batch=359, step=12360, lr=0.148750, batch loss=0.195353, epoch loss=0.985450 Batch=419, step=12420, lr=0.148500, batch loss=0.204380, epoch loss=1.189830 Batch=479, step=12480, lr=0.148250, batch loss=0.178953, epoch loss=1.368783 Batch=539, step=12540, lr=0.148000, batch loss=0.141206, epoch loss=1.509989 Batch=599, step=12600, lr=0.147750, batch loss=0.150032, epoch loss=1.660021 Batch=659, step=12660, lr=0.147500, batch loss=0.222290, epoch loss=1.882311 Batch=719, step=12720, lr=0.147250, batch loss=0.233087, epoch loss=2.115398 Batch=779, step=12780, lr=0.147000, batch loss=0.250967, epoch loss=2.366365 Batch=839, step=12840, lr=0.146750, batch loss=0.235414, epoch loss=2.601779 Batch=899, step=12900, lr=0.146500, batch loss=0.239978, epoch loss=2.841757 Batch=959, step=12960, lr=0.146250, batch loss=0.133724, epoch loss=2.975481 Batch=1019, step=13020, lr=0.146000, batch loss=0.203294, epoch loss=3.178775 Batch=1079, step=13080, lr=0.145750, batch loss=0.123912, epoch loss=3.302687 Batch=1139, step=13140, lr=0.145500, batch loss=0.169093, epoch loss=3.471779 Batch=1199, step=13200, lr=0.145250, batch loss=0.115962, epoch loss=3.587741 Epoch=10, step=13200, lr=0.145250, epoch loss=3.587741 Batch=59, step=13260, lr=0.145000, batch loss=0.134414, epoch loss=0.134414 Batch=119, step=13320, lr=0.144750, batch loss=0.111462, epoch loss=0.245876 Batch=179, step=13380, lr=0.144500, batch loss=0.128115, epoch loss=0.373992 Batch=239, step=13440, lr=0.144250, batch loss=0.187694, epoch loss=0.561685 Batch=299, step=13500, lr=0.144000, batch loss=0.114061, epoch loss=0.675747 Batch=359, step=13560, lr=0.143750, batch loss=0.158763, epoch loss=0.834509 Batch=419, step=13620, lr=0.143500, batch loss=0.160452, epoch loss=0.994961 Batch=479, step=13680, lr=0.143250, batch loss=0.147235, epoch loss=1.142196 Batch=539, step=13740, lr=0.143000, batch loss=0.116002, epoch loss=1.258198 Batch=599, step=13800, lr=0.142750, batch loss=0.118597, epoch loss=1.376795 Batch=659, step=13860, lr=0.142500, batch loss=0.175642, epoch loss=1.552437 Batch=719, step=13920, lr=0.142250, batch loss=0.172609, epoch loss=1.725046 Batch=779, step=13980, lr=0.142000, batch loss=0.176704, epoch loss=1.901750 Batch=839, step=14040, lr=0.141750, batch loss=0.180897, epoch loss=2.082647 Batch=899, step=14100, lr=0.141500, batch loss=0.155325, epoch loss=2.237972 Batch=959, step=14160, lr=0.141250, batch loss=0.137042, epoch loss=2.375014 Batch=1019, step=14220, lr=0.141000, batch loss=0.294547, epoch loss=2.669561 Batch=1079, step=14280, lr=0.140750, batch loss=0.093759, epoch loss=2.763319 Batch=1139, step=14340, lr=0.140500, batch loss=0.148932, epoch loss=2.912252 Batch=1199, step=14400, lr=0.140250, batch loss=0.099677, epoch loss=3.011929 Epoch=11, step=14400, lr=0.140250, epoch loss=3.011929 Batch=59, step=14460, lr=0.140000, batch loss=0.104966, epoch loss=0.104966 Batch=119, step=14520, lr=0.139750, batch loss=0.097442, epoch loss=0.202407 Batch=179, step=14580, lr=0.139500, batch loss=0.103385, epoch loss=0.305793 Batch=239, step=14640, lr=0.139250, batch loss=0.140697, epoch loss=0.446490 Batch=299, step=14700, lr=0.139000, batch loss=0.077001, epoch loss=0.523491 Batch=359, step=14760, lr=0.138750, batch loss=0.118160, epoch loss=0.641651 Batch=419, step=14820, lr=0.138500, batch loss=0.129395, epoch loss=0.771046 Batch=479, step=14880, lr=0.138250, batch loss=0.098102, epoch loss=0.869148 Batch=539, step=14940, lr=0.138000, batch loss=0.091638, epoch loss=0.960786 Batch=599, step=15000, lr=0.137750, batch loss=0.083621, epoch loss=1.044407 Batch=659, step=15060, lr=0.137500, batch loss=0.125818, epoch loss=1.170226 Batch=719, step=15120, lr=0.137250, batch loss=0.125469, epoch loss=1.295695 Batch=779, step=15180, lr=0.137000, batch loss=0.151460, epoch loss=1.447155 Batch=839, step=15240, lr=0.136750, batch loss=0.172541, epoch loss=1.619696 Batch=899, step=15300, lr=0.136500, batch loss=0.294194, epoch loss=1.913890 Batch=959, step=15360, lr=0.136250, batch loss=0.057818, epoch loss=1.971708 Batch=1019, step=15420, lr=0.136000, batch loss=0.139778, epoch loss=2.111486 Batch=1079, step=15480, lr=0.135750, batch loss=0.040377, epoch loss=2.151863 Batch=1139, step=15540, lr=0.135500, batch loss=0.093862, epoch loss=2.245725 Batch=1199, step=15600, lr=0.135250, batch loss=0.058875, epoch loss=2.304600 Epoch=12, step=15600, lr=0.135250, epoch loss=2.304600 Batch=59, step=15660, lr=0.135000, batch loss=0.073378, epoch loss=0.073378 Batch=119, step=15720, lr=0.134750, batch loss=0.098098, epoch loss=0.171475 Batch=179, step=15780, lr=0.134500, batch loss=0.085432, epoch loss=0.256907 Batch=239, step=15840, lr=0.134250, batch loss=0.088723, epoch loss=0.345630 Batch=299, step=15900, lr=0.134000, batch loss=0.035096, epoch loss=0.380726 Batch=359, step=15960, lr=0.133750, batch loss=0.074071, epoch loss=0.454798 Batch=419, step=16020, lr=0.133500, batch loss=0.075151, epoch loss=0.529948 Batch=479, step=16080, lr=0.133250, batch loss=0.051110, epoch loss=0.581058 Batch=539, step=16140, lr=0.133000, batch loss=0.083530, epoch loss=0.664588 Batch=599, step=16200, lr=0.132750, batch loss=0.201107, epoch loss=0.865695 Batch=659, step=16260, lr=0.132500, batch loss=0.106108, epoch loss=0.971803 Batch=719, step=16320, lr=0.132250, batch loss=0.101052, epoch loss=1.072855 Batch=779, step=16380, lr=0.132000, batch loss=0.183198, epoch loss=1.256054 Batch=839, step=16440, lr=0.131750, batch loss=0.084741, epoch loss=1.340794 Batch=899, step=16500, lr=0.131500, batch loss=0.082000, epoch loss=1.422794 Batch=959, step=16560, lr=0.131250, batch loss=0.046158, epoch loss=1.468952 Batch=1019, step=16620, lr=0.131000, batch loss=0.128610, epoch loss=1.597562 Batch=1079, step=16680, lr=0.130750, batch loss=0.020386, epoch loss=1.617948 Batch=1139, step=16740, lr=0.130500, batch loss=0.041220, epoch loss=1.659168 Batch=1199, step=16800, lr=0.130250, batch loss=0.023084, epoch loss=1.682253 Epoch=13, step=16800, lr=0.130250, epoch loss=1.682253 Batch=59, step=16860, lr=0.130000, batch loss=0.033469, epoch loss=0.033469 Batch=119, step=16920, lr=0.129750, batch loss=0.060651, epoch loss=0.094121 Batch=179, step=16980, lr=0.129500, batch loss=0.044930, epoch loss=0.139050 Batch=239, step=17040, lr=0.129250, batch loss=0.069373, epoch loss=0.208423 Batch=299, step=17100, lr=0.129000, batch loss=0.041052, epoch loss=0.249475 Batch=359, step=17160, lr=0.128750, batch loss=0.049069, epoch loss=0.298543 Batch=419, step=17220, lr=0.128500, batch loss=0.056373, epoch loss=0.354916 Batch=479, step=17280, lr=0.128250, batch loss=0.027517, epoch loss=0.382433 Batch=539, step=17340, lr=0.128000, batch loss=0.036393, epoch loss=0.418826 Batch=599, step=17400, lr=0.127750, batch loss=0.033802, epoch loss=0.452628 Batch=659, step=17460, lr=0.127500, batch loss=0.044651, epoch loss=0.497280 Batch=719, step=17520, lr=0.127250, batch loss=0.039382, epoch loss=0.536662 Batch=779, step=17580, lr=0.127000, batch loss=0.053441, epoch loss=0.590102 Batch=839, step=17640, lr=0.126750, batch loss=0.083392, epoch loss=0.673494 Batch=899, step=17700, lr=0.126500, batch loss=0.127325, epoch loss=0.800819 Batch=959, step=17760, lr=0.126250, batch loss=0.030551, epoch loss=0.831370 Batch=1019, step=17820, lr=0.126000, batch loss=0.057979, epoch loss=0.889349 Batch=1079, step=17880, lr=0.125750, batch loss=0.020787, epoch loss=0.910137 Batch=1139, step=17940, lr=0.125500, batch loss=0.042301, epoch loss=0.952438 Batch=1199, step=18000, lr=0.125250, batch loss=0.017213, epoch loss=0.969651 Epoch=14, step=18000, lr=0.125250, epoch loss=0.969651 Batch=59, step=18060, lr=0.125000, batch loss=0.011522, epoch loss=0.011522 Batch=119, step=18120, lr=0.124750, batch loss=0.021151, epoch loss=0.032674 Batch=179, step=18180, lr=0.124500, batch loss=0.038589, epoch loss=0.071263 Batch=239, step=18240, lr=0.124250, batch loss=0.034237, epoch loss=0.105500 Batch=299, step=18300, lr=0.124000, batch loss=0.010039, epoch loss=0.115538 Batch=359, step=18360, lr=0.123750, batch loss=0.022794, epoch loss=0.138332 Batch=419, step=18420, lr=0.123500, batch loss=0.032853, epoch loss=0.171185 Batch=479, step=18480, lr=0.123250, batch loss=0.026296, epoch loss=0.197481 Batch=539, step=18540, lr=0.123000, batch loss=0.047621, epoch loss=0.245102 Batch=599, step=18600, lr=0.122750, batch loss=0.025785, epoch loss=0.270886 Batch=659, step=18660, lr=0.122500, batch loss=0.031400, epoch loss=0.302287 Batch=719, step=18720, lr=0.122250, batch loss=0.044236, epoch loss=0.346523 Batch=779, step=18780, lr=0.122000, batch loss=0.110405, epoch loss=0.456928 Batch=839, step=18840, lr=0.121750, batch loss=0.051704, epoch loss=0.508632 Batch=899, step=18900, lr=0.121500, batch loss=0.052074, epoch loss=0.560706 Batch=959, step=18960, lr=0.121250, batch loss=0.013329, epoch loss=0.574035 Batch=1019, step=19020, lr=0.121000, batch loss=0.015397, epoch loss=0.589432 Batch=1079, step=19080, lr=0.120750, batch loss=0.006932, epoch loss=0.596364 Batch=1139, step=19140, lr=0.120500, batch loss=0.023547, epoch loss=0.619912 Batch=1199, step=19200, lr=0.120250, batch loss=0.009693, epoch loss=0.629604 Epoch=15, step=19200, lr=0.120250, epoch loss=0.629604 Batch=59, step=19260, lr=0.120000, batch loss=0.004499, epoch loss=0.004499 Batch=119, step=19320, lr=0.119750, batch loss=0.016874, epoch loss=0.021373 Batch=179, step=19380, lr=0.119500, batch loss=0.040457, epoch loss=0.061830 Batch=239, step=19440, lr=0.119250, batch loss=0.020921, epoch loss=0.082750 Batch=299, step=19500, lr=0.119000, batch loss=0.004501, epoch loss=0.087252 Batch=359, step=19560, lr=0.118750, batch loss=0.015695, epoch loss=0.102946 Batch=419, step=19620, lr=0.118500, batch loss=0.018148, epoch loss=0.121094 Batch=479, step=19680, lr=0.118250, batch loss=0.007648, epoch loss=0.128742 Batch=539, step=19740, lr=0.118000, batch loss=0.018745, epoch loss=0.147487 Batch=599, step=19800, lr=0.117750, batch loss=0.019598, epoch loss=0.167085 Batch=659, step=19860, lr=0.117500, batch loss=0.017591, epoch loss=0.184676 Batch=719, step=19920, lr=0.117250, batch loss=0.015624, epoch loss=0.200300 Batch=779, step=19980, lr=0.117000, batch loss=0.023958, epoch loss=0.224258 Batch=839, step=20040, lr=0.116750, batch loss=0.029791, epoch loss=0.254049 Batch=899, step=20100, lr=0.116500, batch loss=0.028383, epoch loss=0.282432 Batch=959, step=20160, lr=0.116250, batch loss=0.011630, epoch loss=0.294062 Batch=1019, step=20220, lr=0.116000, batch loss=0.013719, epoch loss=0.307781 Batch=1079, step=20280, lr=0.115750, batch loss=0.004622, epoch loss=0.312403 Batch=1139, step=20340, lr=0.115500, batch loss=0.018112, epoch loss=0.330515 Batch=1199, step=20400, lr=0.115250, batch loss=0.007510, epoch loss=0.338025 Epoch=16, step=20400, lr=0.115250, epoch loss=0.338025 Batch=59, step=20460, lr=0.115000, batch loss=0.003252, epoch loss=0.003252 Batch=119, step=20520, lr=0.114750, batch loss=0.008853, epoch loss=0.012104 Batch=179, step=20580, lr=0.114500, batch loss=0.020005, epoch loss=0.032109 Batch=239, step=20640, lr=0.114250, batch loss=0.019367, epoch loss=0.051477 Batch=299, step=20700, lr=0.114000, batch loss=0.007878, epoch loss=0.059354 Batch=359, step=20760, lr=0.113750, batch loss=0.014047, epoch loss=0.073402 Batch=419, step=20820, lr=0.113500, batch loss=0.014572, epoch loss=0.087974 Batch=479, step=20880, lr=0.113250, batch loss=0.003250, epoch loss=0.091223 Batch=539, step=20940, lr=0.113000, batch loss=0.017733, epoch loss=0.108957 Batch=599, step=21000, lr=0.112750, batch loss=0.020804, epoch loss=0.129761 Batch=659, step=21060, lr=0.112500, batch loss=0.014247, epoch loss=0.144008 Batch=719, step=21120, lr=0.112250, batch loss=0.043881, epoch loss=0.187889 Batch=779, step=21180, lr=0.112000, batch loss=0.072259, epoch loss=0.260148 Batch=839, step=21240, lr=0.111750, batch loss=0.024511, epoch loss=0.284659 Batch=899, step=21300, lr=0.111500, batch loss=0.028430, epoch loss=0.313089 Batch=959, step=21360, lr=0.111250, batch loss=0.010703, epoch loss=0.323792 Batch=1019, step=21420, lr=0.111000, batch loss=0.012945, epoch loss=0.336736 Batch=1079, step=21480, lr=0.110750, batch loss=0.001915, epoch loss=0.338651 Batch=1139, step=21540, lr=0.110500, batch loss=0.012533, epoch loss=0.351185 Batch=1199, step=21600, lr=0.110250, batch loss=0.005098, epoch loss=0.356283 Epoch=17, step=21600, lr=0.110250, epoch loss=0.356283 Batch=59, step=21660, lr=0.110000, batch loss=0.002453, epoch loss=0.002453 Batch=119, step=21720, lr=0.109750, batch loss=0.006526, epoch loss=0.008979 Batch=179, step=21780, lr=0.109500, batch loss=0.012198, epoch loss=0.021177 Batch=239, step=21840, lr=0.109250, batch loss=0.009106, epoch loss=0.030284 Batch=299, step=21900, lr=0.109000, batch loss=0.007125, epoch loss=0.037409 Batch=359, step=21960, lr=0.108750, batch loss=0.013889, epoch loss=0.051298 Batch=419, step=22020, lr=0.108500, batch loss=0.012625, epoch loss=0.063923 Batch=479, step=22080, lr=0.108250, batch loss=0.003559, epoch loss=0.067482 Batch=539, step=22140, lr=0.108000, batch loss=0.015871, epoch loss=0.083353 Batch=599, step=22200, lr=0.107750, batch loss=0.015966, epoch loss=0.099320 Batch=659, step=22260, lr=0.107500, batch loss=0.012483, epoch loss=0.111803 Batch=719, step=22320, lr=0.107250, batch loss=0.022865, epoch loss=0.134668 Batch=779, step=22380, lr=0.107000, batch loss=0.044481, epoch loss=0.179149 Batch=839, step=22440, lr=0.106750, batch loss=0.021802, epoch loss=0.200951 Batch=899, step=22500, lr=0.106500, batch loss=0.022695, epoch loss=0.223646 Batch=959, step=22560, lr=0.106250, batch loss=0.010828, epoch loss=0.234474 Batch=1019, step=22620, lr=0.106000, batch loss=0.009311, epoch loss=0.243785 Batch=1079, step=22680, lr=0.105750, batch loss=0.000000, epoch loss=0.243785 Batch=1139, step=22740, lr=0.105500, batch loss=0.009788, epoch loss=0.253573 Batch=1199, step=22800, lr=0.105250, batch loss=0.004741, epoch loss=0.258314 Epoch=18, step=22800, lr=0.105250, epoch loss=0.258314 Batch=59, step=22860, lr=0.105000, batch loss=0.001875, epoch loss=0.001875 Batch=119, step=22920, lr=0.104750, batch loss=0.005636, epoch loss=0.007510 Batch=179, step=22980, lr=0.104500, batch loss=0.010421, epoch loss=0.017931 Batch=239, step=23040, lr=0.104250, batch loss=0.011193, epoch loss=0.029124 Batch=299, step=23100, lr=0.104000, batch loss=0.008554, epoch loss=0.037678 Batch=359, step=23160, lr=0.103750, batch loss=0.012419, epoch loss=0.050097 Batch=419, step=23220, lr=0.103500, batch loss=0.011056, epoch loss=0.061152 Batch=479, step=23280, lr=0.103250, batch loss=0.002351, epoch loss=0.063503 Batch=539, step=23340, lr=0.103000, batch loss=0.016599, epoch loss=0.080102 Batch=599, step=23400, lr=0.102750, batch loss=0.013591, epoch loss=0.093693 Batch=659, step=23460, lr=0.102500, batch loss=0.011609, epoch loss=0.105303 Batch=719, step=23520, lr=0.102250, batch loss=0.010772, epoch loss=0.116075 Batch=779, step=23580, lr=0.102000, batch loss=0.012602, epoch loss=0.128677 Batch=839, step=23640, lr=0.101750, batch loss=0.018414, epoch loss=0.147091 Batch=899, step=23700, lr=0.101500, batch loss=0.020401, epoch loss=0.167492 Batch=959, step=23760, lr=0.101250, batch loss=0.009802, epoch loss=0.177294 Batch=1019, step=23820, lr=0.101000, batch loss=0.007995, epoch loss=0.185289 Batch=1079, step=23880, lr=0.100750, batch loss=0.000191, epoch loss=0.185480 Batch=1139, step=23940, lr=0.100500, batch loss=0.008487, epoch loss=0.193967 Batch=1199, step=24000, lr=0.100250, batch loss=0.004528, epoch loss=0.198496 Epoch=19, step=24000, lr=0.100250, epoch loss=0.198496 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##***************..*****************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-04-07 01:16.20 ---> saved as "c62ad5bfb6fc358502fe90128574c6443cb36d13f62e39208f9020524b6073d7" Job succeeded 2025-04-07 01:16.20: Job succeeded