2025-03-21 16:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (151162601bc8b3df560578aa1056d12d2dcb7acf) (linux-x86_64:fedora-40-5.3_opam-2.3) Base: ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 15116260 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e # fedora-40-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo dnf install -y findutils RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 16:19.55: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e-fedora-40-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 16:19.55: Using OBuilder spec: ((from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e) (comment fedora-40-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (network host) (shell "sudo dnf install -y findutils")) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 16:19.55: Waiting for resource in pool OCluster 2025-03-21 16:19.55: Waiting for worker… 2025-03-21 16:20.08: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 15116260 Differentiable conditional -> piecewise-defined functions (from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e) 2025-03-21 16:20.28 ---> saved as "1476c452edd56a53215a301540bb2009c8d2a15dba423047d40300e18599671f" /: (comment fedora-40-5.3_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")) Fedora 40 - x86_64 100 kB/s | 27 kB 00:00 Fedora 40 - x86_64 - Updates 192 kB/s | 24 kB 00:00 Fedora 40 - x86_64 - Updates 6.2 MB/s | 5.8 MB 00:00 Last metadata expiration check: 0:00:01 ago on Fri Mar 21 16:20:30 2025. Package findutils-1:4.9.0-9.fc40.x86_64 is already installed. Dependencies resolved. Nothing to do. Complete! 2025-03-21 16:20.35 ---> saved as "94cbd80bcc330ce623803fbb520a85cab1400e88c96764ea5c2e02cd7e19ad53" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 16:20.36 ---> saved as "3cf8028e21344054f79e658239efeb83a6d7aca5695c51333e87cfafa85482ca" /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 39 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=39 --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 2025-03-21 16:22.04 ---> saved as "e8183cd9ba1a23c4d7ddb3cf8b2d2350a9e0a7713ccd1e3ac8d0c1e7fffb4080" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 16:22.04 ---> saved as "e1cd23eff74270a484a5911f8cc469d53dbcdcfafe79312b85310d9254a411b6" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 16:22.04 ---> saved as "c4ed4798c67e57846c83ac2aba073c0c9239aa56a5e2c21f39faf8e0638895ed" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..acfb0e6e94 master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 16:23.33 ---> saved as "dab772aca77df98414fc328dd4b874f99de8a0ed482ec5e55cda5daf184a72c6" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 16:23.33 ---> saved as "b3c1458d2dffc241e60bbd215faf56a55dcfb986863e21eac7f53a89b40c9287" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 16:23.37 ---> saved as "bc242b916d36f5a95dd95336431aadab2520d42f08a0a9d7cf798fdf8a85a529" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 16:23.37 ---> saved as "99abe2e5638a7b6021666aebe939dd0066e9cb52eacde91026c9424c3fb52584" /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" - Fedora 40 - x86_64 151 kB/s | 27 kB 00:00 - Fedora 40 openh264 (From Cisco) - x86_64 9.4 kB/s | 989 B 00:00 - Fedora 40 - x86_64 - Updates 186 kB/s | 24 kB 00:00 - 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" - Last metadata expiration check: 0:00:33 ago on Fri Mar 21 16:23:39 2025. - Dependencies resolved. - ================================================================================ - Package Architecture Version Repository Size - ================================================================================ - Installing: - libffi-devel x86_64 3.4.4-7.fc40 fedora 28 k - - Transaction Summary - ================================================================================ - Install 1 Package - - Total download size: 28 k - Installed size: 33 k - Downloading Packages: - libffi-devel-3.4.4-7.fc40.x86_64.rpm 467 kB/s | 28 kB 00:00 - -------------------------------------------------------------------------------- - Total 131 kB/s | 28 kB 00:00 - Running transaction check - Transaction check succeeded. - Running transaction test - Transaction test succeeded. - Running transaction - Preparing : 1/1 - Installing : libffi-devel-3.4.4-7.fc40.x86_64 1/1 - Running scriptlet: libffi-devel-3.4.4-7.fc40.x86_64 1/1 - - Installed: - libffi-devel-3.4.4-7.fc40.x86_64 - - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.4-7.fc40.x86_64 2025-03-21 16:24.15 ---> saved as "fc908412141f84d4618e32af5e50641ccc3c42263dd940e51e569bd85795e2a0" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved jane-street-headers.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 ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (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 ppxlib_jane.v0.17.2 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (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 csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> 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 uucp.16.0.0 -> installed ctypes.0.23.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed base.v0.17.1 -> installed printbox-ext-plot.0.12 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 16:27.48 ---> saved as "8a6dc909c2f8092d37652e785545688022c93f063e0b881d32efb3c60109259c" /src: (copy (src .) (dst /src)) 2025-03-21 16:27.49 ---> saved as "f07d0f4a81e11daa0052beac36f494faf178e06a756d246c01d9cfedd8882f65" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35042744615f24d345bf7b9ac1327d67/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/35042744615f24d345bf7b9ac1327d67/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35042744615f24d345bf7b9ac1327d67/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/96fe692cea8d386eb16e37affb519bcf/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/35042744615f24d345bf7b9ac1327d67/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35042744615f24d345bf7b9ac1327d67/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/35042744615f24d345bf7b9ac1327d67/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35042744615f24d345bf7b9ac1327d67/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/35042744615f24d345bf7b9ac1327d67/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35042744615f24d345bf7b9ac1327d67/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/35042744615f24d345bf7b9ac1327d67/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35042744615f24d345bf7b9ac1327d67/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/35042744615f24d345bf7b9ac1327d67/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35042744615f24d345bf7b9ac1327d67/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/35042744615f24d345bf7b9ac1327d67/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35042744615f24d345bf7b9ac1327d67/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/35042744615f24d345bf7b9ac1327d67/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35042744615f24d345bf7b9ac1327d67/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/35042744615f24d345bf7b9ac1327d67/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/35042744615f24d345bf7b9ac1327d67/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/35042744615f24d345bf7b9ac1327d67/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=0.196750, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196500, batch loss=0.446673, epoch loss=43.407697 Batch=899, step=900, lr=0.196250, batch loss=0.382757, epoch loss=43.790455 Batch=959, step=960, lr=0.196250, batch loss=0.245169, epoch loss=44.035623 Batch=1019, step=1020, lr=0.196000, batch loss=0.466547, epoch loss=44.502171 Batch=1079, step=1080, lr=0.195500, batch loss=0.248833, epoch loss=44.751004 Batch=1139, step=1140, lr=0.195250, batch loss=0.317277, epoch loss=45.068281 Batch=1199, step=1200, lr=0.195250, batch loss=0.263774, epoch loss=45.332055 Epoch=0, step=1200, lr=0.195250, epoch loss=45.332055 Batch=59, step=1260, lr=0.195000, batch loss=0.262204, epoch loss=0.262204 Batch=119, step=1320, lr=0.194750, batch loss=0.205252, epoch loss=0.467456 Batch=179, step=1380, lr=0.194500, batch loss=0.243679, epoch loss=0.711135 Batch=239, step=1440, lr=0.194250, batch loss=0.347913, epoch loss=1.059048 Batch=299, step=1500, lr=0.194000, batch loss=0.247395, epoch loss=1.306444 Batch=359, step=1560, lr=0.193500, batch loss=0.316624, epoch loss=1.623067 Batch=419, step=1620, lr=0.193500, batch loss=0.312714, epoch loss=1.935781 Batch=479, step=1680, lr=0.193250, batch loss=0.276319, epoch loss=2.212100 Batch=539, step=1740, lr=0.192750, batch loss=0.209828, epoch loss=2.421928 Batch=599, step=1800, lr=0.192500, batch loss=0.250483, epoch loss=2.672411 Batch=659, step=1860, lr=0.192500, batch loss=0.367108, epoch loss=3.039519 Batch=719, step=1920, lr=0.192000, batch loss=0.355005, epoch loss=3.394523 Batch=779, step=1980, lr=0.192000, batch loss=0.381235, epoch loss=3.775759 Batch=839, step=2040, lr=0.191750, batch loss=0.339676, epoch loss=4.115435 Batch=899, step=2100, lr=0.191500, batch loss=0.295241, epoch loss=4.410676 Batch=959, step=2160, lr=0.191250, batch loss=0.214122, epoch loss=4.624798 Batch=1019, step=2220, lr=0.190750, batch loss=0.330700, epoch loss=4.955498 Batch=1079, step=2280, lr=0.190750, batch loss=0.208411, epoch loss=5.163909 Batch=1139, step=2340, lr=0.190500, batch loss=0.278246, epoch loss=5.442156 Batch=1199, step=2400, lr=0.190250, batch loss=0.220902, epoch loss=5.663057 Epoch=1, step=2400, lr=0.190250, epoch loss=5.663057 Batch=59, step=2460, lr=0.190000, batch loss=0.230435, epoch loss=0.230435 Batch=119, step=2520, lr=0.189750, batch loss=0.195907, epoch loss=0.426342 Batch=179, step=2580, lr=0.189500, batch loss=0.221187, epoch loss=0.647529 Batch=239, step=2640, lr=0.189250, batch loss=0.328082, epoch loss=0.975611 Batch=299, step=2700, lr=0.189000, batch loss=0.202963, epoch loss=1.178574 Batch=359, step=2760, lr=0.188750, batch loss=0.288296, epoch loss=1.466870 Batch=419, step=2820, lr=0.188500, batch loss=0.280200, epoch loss=1.747070 Batch=479, step=2880, lr=0.188250, batch loss=0.251474, epoch loss=1.998544 Batch=539, step=2940, lr=0.188000, batch loss=0.191309, epoch loss=2.189853 Batch=599, step=3000, lr=0.187750, batch loss=0.224993, epoch loss=2.414847 Batch=659, step=3060, lr=0.187500, batch loss=0.335762, epoch loss=2.750608 Batch=719, step=3120, lr=0.187250, batch loss=0.331396, epoch loss=3.082004 Batch=779, step=3180, lr=0.187000, batch loss=0.357883, epoch loss=3.439888 Batch=839, step=3240, lr=0.186750, batch loss=0.325633, epoch loss=3.765520 Batch=899, step=3300, lr=0.186500, batch loss=0.292326, epoch loss=4.057846 Batch=959, step=3360, lr=0.186250, batch loss=0.244957, epoch loss=4.302803 Batch=1019, step=3420, lr=0.186000, batch loss=0.361854, epoch loss=4.664657 Batch=1079, step=3480, lr=0.185750, batch loss=0.222107, epoch loss=4.886764 Batch=1139, step=3540, lr=0.185500, batch loss=0.264007, epoch loss=5.150771 Batch=1199, step=3600, lr=0.185250, batch loss=0.199994, epoch loss=5.350765 Epoch=2, step=3600, lr=0.185250, epoch loss=5.350765 Batch=59, step=3660, lr=0.185000, batch loss=0.221235, epoch loss=0.221235 Batch=119, step=3720, lr=0.184750, batch loss=0.184955, epoch loss=0.406190 Batch=179, step=3780, lr=0.184250, batch loss=0.211393, epoch loss=0.617583 Batch=239, step=3840, lr=0.184000, batch loss=0.316945, epoch loss=0.934528 Batch=299, step=3900, lr=0.184000, batch loss=0.209181, epoch loss=1.143709 Batch=359, step=3960, lr=0.183500, batch loss=0.285709, epoch loss=1.429418 Batch=419, step=4020, lr=0.183500, batch loss=0.278177, epoch loss=1.707595 Batch=479, step=4080, lr=0.183250, batch loss=0.255088, epoch loss=1.962683 Batch=539, step=4140, lr=0.183000, batch loss=0.199854, epoch loss=2.162537 Batch=599, step=4200, lr=0.182750, batch loss=0.242786, epoch loss=2.405323 Batch=659, step=4260, lr=0.182500, batch loss=0.327689, epoch loss=2.733013 Batch=719, step=4320, lr=0.182250, batch loss=0.329462, epoch loss=3.062475 Batch=779, step=4380, lr=0.181750, batch loss=0.352194, epoch loss=3.414669 Batch=839, step=4440, lr=0.181500, batch loss=0.318068, epoch loss=3.732737 Batch=899, step=4500, lr=0.181500, batch loss=0.285435, epoch loss=4.018172 Batch=959, step=4560, lr=0.181250, batch loss=0.240092, epoch loss=4.258264 Batch=1019, step=4620, lr=0.181000, batch loss=0.332502, epoch loss=4.590766 Batch=1079, step=4680, lr=0.180500, batch loss=0.196120, epoch loss=4.786886 Batch=1139, step=4740, lr=0.180500, batch loss=0.234848, epoch loss=5.021735 Batch=1199, step=4800, lr=0.180250, batch loss=0.191081, epoch loss=5.212816 Epoch=3, step=4800, lr=0.180250, epoch loss=5.212816 Batch=59, step=4860, lr=0.180000, batch loss=0.227448, epoch loss=0.227448 Batch=119, step=4920, lr=0.179750, batch loss=0.190565, epoch loss=0.418013 Batch=179, step=4980, lr=0.179250, batch loss=0.205545, epoch loss=0.623558 Batch=239, step=5040, lr=0.179250, batch loss=0.307110, epoch loss=0.930668 Batch=299, step=5100, lr=0.179000, batch loss=0.208169, epoch loss=1.138836 Batch=359, step=5160, lr=0.178500, batch loss=0.274075, epoch loss=1.412912 Batch=419, step=5220, lr=0.178500, batch loss=0.268903, epoch loss=1.681815 Batch=479, step=5280, lr=0.178250, batch loss=0.246931, epoch loss=1.928746 Batch=539, step=5340, lr=0.178000, batch loss=0.193325, epoch loss=2.122071 Batch=599, step=5400, lr=0.177500, batch loss=0.228550, epoch loss=2.350621 Batch=659, step=5460, lr=0.177500, batch loss=0.325764, epoch loss=2.676385 Batch=719, step=5520, lr=0.177250, batch loss=0.333825, epoch loss=3.010210 Batch=779, step=5580, lr=0.177000, batch loss=0.342981, epoch loss=3.353191 Batch=839, step=5640, lr=0.176500, batch loss=0.309773, epoch loss=3.662964 Batch=899, step=5700, lr=0.176250, batch loss=0.272721, epoch loss=3.935685 Batch=959, step=5760, lr=0.176250, batch loss=0.215396, epoch loss=4.151080 Batch=1019, step=5820, lr=0.176000, batch loss=0.337470, epoch loss=4.488550 Batch=1079, step=5880, lr=0.175750, batch loss=0.189244, epoch loss=4.677794 Batch=1139, step=5940, lr=0.175500, batch loss=0.221455, epoch loss=4.899250 Batch=1199, step=6000, lr=0.175250, batch loss=0.187090, epoch loss=5.086340 Epoch=4, step=6000, lr=0.175250, epoch loss=5.086340 Batch=59, step=6060, lr=0.175000, batch loss=0.231723, epoch loss=0.231723 Batch=119, step=6120, lr=0.174750, batch loss=0.193755, epoch loss=0.425478 Batch=179, step=6180, lr=0.174250, batch loss=0.201012, epoch loss=0.626491 Batch=239, step=6240, lr=0.174000, batch loss=0.301723, epoch loss=0.928214 Batch=299, step=6300, lr=0.173750, batch loss=0.213242, epoch loss=1.141456 Batch=359, step=6360, lr=0.173500, batch loss=0.272192, epoch loss=1.413648 Batch=419, step=6420, lr=0.173250, batch loss=0.268182, epoch loss=1.681831 Batch=479, step=6480, lr=0.173250, batch loss=0.241575, epoch loss=1.923406 Batch=539, step=6540, lr=0.173000, batch loss=0.197723, epoch loss=2.121129 Batch=599, step=6600, lr=0.172750, batch loss=0.239093, epoch loss=2.360222 Batch=659, step=6660, lr=0.172500, batch loss=0.315422, epoch loss=2.675644 Batch=719, step=6720, lr=0.172250, batch loss=0.318008, epoch loss=2.993652 Batch=779, step=6780, lr=0.172000, batch loss=0.331504, epoch loss=3.325156 Batch=839, step=6840, lr=0.171500, batch loss=0.306543, epoch loss=3.631699 Batch=899, step=6900, lr=0.171250, batch loss=0.270593, epoch loss=3.902293 Batch=959, step=6960, lr=0.171250, batch loss=0.207035, epoch loss=4.109327 Batch=1019, step=7020, lr=0.170750, batch loss=0.328088, epoch loss=4.437415 Batch=1079, step=7080, lr=0.170750, batch loss=0.173524, epoch loss=4.610939 Batch=1139, step=7140, lr=0.170500, batch loss=0.213371, epoch loss=4.824310 Batch=1199, step=7200, lr=0.170000, batch loss=0.182742, epoch loss=5.007051 Epoch=5, step=7200, lr=0.170000, epoch loss=5.007051 Batch=59, step=7260, lr=0.169750, batch loss=0.241076, epoch loss=0.241076 Batch=119, step=7320, lr=0.169750, batch loss=0.181296, epoch loss=0.422371 Batch=179, step=7380, lr=0.169250, batch loss=0.195113, epoch loss=0.617485 Batch=239, step=7440, lr=0.169000, batch loss=0.295017, epoch loss=0.912502 Batch=299, step=7500, lr=0.169000, batch loss=0.201094, epoch loss=1.113596 Batch=359, step=7560, lr=0.168500, batch loss=0.259144, epoch loss=1.372740 Batch=419, step=7620, lr=0.168500, batch loss=0.257167, epoch loss=1.629907 Batch=479, step=7680, lr=0.168250, batch loss=0.236375, epoch loss=1.866282 Batch=539, step=7740, lr=0.167750, batch loss=0.188115, epoch loss=2.054397 Batch=599, step=7800, lr=0.167500, batch loss=0.224930, epoch loss=2.279327 Batch=659, step=7860, lr=0.167500, batch loss=0.305865, epoch loss=2.585192 Batch=719, step=7920, lr=0.167250, batch loss=0.307325, epoch loss=2.892517 Batch=779, step=7980, lr=0.166750, batch loss=0.322108, epoch loss=3.214625 Batch=839, step=8040, lr=0.166500, batch loss=0.296004, epoch loss=3.510629 Batch=899, step=8100, lr=0.166250, batch loss=0.259712, epoch loss=3.770341 Batch=959, step=8160, lr=0.166250, batch loss=0.206898, epoch loss=3.977240 Batch=1019, step=8220, lr=0.165750, batch loss=0.318150, epoch loss=4.295390 Batch=1079, step=8280, lr=0.165500, batch loss=0.168791, epoch loss=4.464182 Batch=1139, step=8340, lr=0.165500, batch loss=0.205261, epoch loss=4.669443 Batch=1199, step=8400, lr=0.165250, batch loss=0.184755, epoch loss=4.854198 Epoch=6, step=8400, lr=0.165250, epoch loss=4.854198 Batch=59, step=8460, lr=0.165000, batch loss=0.215220, epoch loss=0.215220 Batch=119, step=8520, lr=0.164500, batch loss=0.185606, epoch loss=0.400826 Batch=179, step=8580, lr=0.164500, batch loss=0.187121, epoch loss=0.587947 Batch=239, step=8640, lr=0.164250, batch loss=0.276921, epoch loss=0.864868 Batch=299, step=8700, lr=0.164000, batch loss=0.190340, epoch loss=1.055208 Batch=359, step=8760, lr=0.163750, batch loss=0.249882, epoch loss=1.305090 Batch=419, step=8820, lr=0.163500, batch loss=0.243630, epoch loss=1.548720 Batch=479, step=8880, lr=0.163250, batch loss=0.229921, epoch loss=1.778641 Batch=539, step=8940, lr=0.163000, batch loss=0.176385, epoch loss=1.955027 Batch=599, step=9000, lr=0.162750, batch loss=0.219680, epoch loss=2.174707 Batch=659, step=9060, lr=0.162500, batch loss=0.292756, epoch loss=2.467463 Batch=719, step=9120, lr=0.162250, batch loss=0.296191, epoch loss=2.763654 Batch=779, step=9180, lr=0.162000, batch loss=0.313681, epoch loss=3.077335 Batch=839, step=9240, lr=0.161750, batch loss=0.281631, epoch loss=3.358966 Batch=899, step=9300, lr=0.161500, batch loss=0.251802, epoch loss=3.610768 Batch=959, step=9360, lr=0.161250, batch loss=0.187649, epoch loss=3.798417 Batch=1019, step=9420, lr=0.161000, batch loss=0.319000, epoch loss=4.117417 Batch=1079, step=9480, lr=0.160750, batch loss=0.198013, epoch loss=4.315430 Batch=1139, step=9540, lr=0.160500, batch loss=0.211449, epoch loss=4.526879 Batch=1199, step=9600, lr=0.160250, batch loss=0.166928, epoch loss=4.693808 Epoch=7, step=9600, lr=0.160250, epoch loss=4.693808 Batch=59, step=9660, lr=0.160000, batch loss=0.199021, epoch loss=0.199021 Batch=119, step=9720, lr=0.159500, batch loss=0.163872, epoch loss=0.362893 Batch=179, step=9780, lr=0.159250, batch loss=0.178944, epoch loss=0.541837 Batch=239, step=9840, lr=0.159000, batch loss=0.260219, epoch loss=0.802056 Batch=299, step=9900, lr=0.158750, batch loss=0.181301, epoch loss=0.983358 Batch=359, step=9960, lr=0.158750, batch loss=0.240925, epoch loss=1.224282 Batch=419, step=10020, lr=0.158500, batch loss=0.232109, epoch loss=1.456391 Batch=479, step=10080, lr=0.158250, batch loss=0.213593, epoch loss=1.669984 Batch=539, step=10140, lr=0.157750, batch loss=0.170732, epoch loss=1.840716 Batch=599, step=10200, lr=0.157750, batch loss=0.201946, epoch loss=2.042662 Batch=659, step=10260, lr=0.157250, batch loss=0.281480, epoch loss=2.324142 Batch=719, step=10320, lr=0.157250, batch loss=0.285500, epoch loss=2.609642 Batch=779, step=10380, lr=0.157000, batch loss=0.294684, epoch loss=2.904326 Batch=839, step=10440, lr=0.156500, batch loss=0.266781, epoch loss=3.171108 Batch=899, step=10500, lr=0.156500, batch loss=0.241813, epoch loss=3.412920 Batch=959, step=10560, lr=0.156250, batch loss=0.198090, epoch loss=3.611010 Batch=1019, step=10620, lr=0.155750, batch loss=0.281243, epoch loss=3.892253 Batch=1079, step=10680, lr=0.155750, batch loss=0.166185, epoch loss=4.058438 Batch=1139, step=10740, lr=0.155250, batch loss=0.199802, epoch loss=4.258240 Batch=1199, step=10800, lr=0.155250, batch loss=0.154191, epoch loss=4.412431 Epoch=8, step=10800, lr=0.155250, epoch loss=4.412431 Batch=59, step=10860, lr=0.155000, batch loss=0.178992, epoch loss=0.178992 Batch=119, step=10920, lr=0.154750, batch loss=0.149716, epoch loss=0.328707 Batch=179, step=10980, lr=0.154250, batch loss=0.165978, epoch loss=0.494685 Batch=239, step=11040, lr=0.154250, batch loss=0.243854, epoch loss=0.738539 Batch=299, step=11100, lr=0.154000, batch loss=0.164943, epoch loss=0.903482 Batch=359, step=11160, lr=0.153750, batch loss=0.223750, epoch loss=1.127232 Batch=419, step=11220, lr=0.153500, batch loss=0.232960, epoch loss=1.360192 Batch=479, step=11280, lr=0.153250, batch loss=0.199226, epoch loss=1.559419 Batch=539, step=11340, lr=0.153000, batch loss=0.157488, epoch loss=1.716907 Batch=599, step=11400, lr=0.152750, batch loss=0.182081, epoch loss=1.898988 Batch=659, step=11460, lr=0.152500, batch loss=0.261702, epoch loss=2.160690 Batch=719, step=11520, lr=0.152250, batch loss=0.253869, epoch loss=2.414559 Batch=779, step=11580, lr=0.152000, batch loss=0.269937, epoch loss=2.684497 Batch=839, step=11640, lr=0.151500, batch loss=0.256107, epoch loss=2.940604 Batch=899, step=11700, lr=0.151500, batch loss=0.216709, epoch loss=3.157313 Batch=959, step=11760, lr=0.151250, batch loss=0.172891, epoch loss=3.330204 Batch=1019, step=11820, lr=0.151000, batch loss=0.258962, epoch loss=3.589166 Batch=1079, step=11880, lr=0.150750, batch loss=0.144611, epoch loss=3.733777 Batch=1139, step=11940, lr=0.150500, batch loss=0.180410, epoch loss=3.914186 Batch=1199, step=12000, lr=0.150250, batch loss=0.139423, epoch loss=4.053610 Epoch=9, step=12000, lr=0.150250, epoch loss=4.053610 Batch=59, step=12060, lr=0.150000, batch loss=0.161023, epoch loss=0.161023 Batch=119, step=12120, lr=0.149500, batch loss=0.136588, epoch loss=0.297611 Batch=179, step=12180, lr=0.149500, batch loss=0.150579, epoch loss=0.448189 Batch=239, step=12240, lr=0.149250, batch loss=0.218645, epoch loss=0.666834 Batch=299, step=12300, lr=0.149000, batch loss=0.143111, epoch loss=0.809945 Batch=359, step=12360, lr=0.148500, batch loss=0.196886, epoch loss=1.006832 Batch=419, step=12420, lr=0.148500, batch loss=0.206142, epoch loss=1.212973 Batch=479, step=12480, lr=0.148250, batch loss=0.178199, epoch loss=1.391173 Batch=539, step=12540, lr=0.148000, batch loss=0.142593, epoch loss=1.533766 Batch=599, step=12600, lr=0.147750, batch loss=0.149083, epoch loss=1.682849 Batch=659, step=12660, lr=0.147500, batch loss=0.226097, epoch loss=1.908945 Batch=719, step=12720, lr=0.147250, batch loss=0.232551, epoch loss=2.141496 Batch=779, step=12780, lr=0.147000, batch loss=0.255803, epoch loss=2.397299 Batch=839, step=12840, lr=0.146750, batch loss=0.225376, epoch loss=2.622675 Batch=899, step=12900, lr=0.146500, batch loss=0.189631, epoch loss=2.812306 Batch=959, step=12960, lr=0.146250, batch loss=0.158469, epoch loss=2.970775 Batch=1019, step=13020, lr=0.146000, batch loss=0.259688, epoch loss=3.230462 Batch=1079, step=13080, lr=0.145750, batch loss=0.117993, epoch loss=3.348456 Batch=1139, step=13140, lr=0.145500, batch loss=0.160210, epoch loss=3.508665 Batch=1199, step=13200, lr=0.145000, batch loss=0.118730, epoch loss=3.627395 Epoch=10, step=13200, lr=0.145000, epoch loss=3.627395 Batch=59, step=13260, lr=0.145000, batch loss=0.139951, epoch loss=0.139951 Batch=119, step=13320, lr=0.144500, batch loss=0.121883, epoch loss=0.261833 Batch=179, step=13380, lr=0.144500, batch loss=0.127450, epoch loss=0.389283 Batch=239, step=13440, lr=0.144250, batch loss=0.191689, epoch loss=0.580973 Batch=299, step=13500, lr=0.144000, batch loss=0.115885, epoch loss=0.696858 Batch=359, step=13560, lr=0.143750, batch loss=0.158043, epoch loss=0.854901 Batch=419, step=13620, lr=0.143500, batch loss=0.161214, epoch loss=1.016115 Batch=479, step=13680, lr=0.143250, batch loss=0.143668, epoch loss=1.159783 Batch=539, step=13740, lr=0.143000, batch loss=0.118626, epoch loss=1.278409 Batch=599, step=13800, lr=0.142750, batch loss=0.119325, epoch loss=1.397735 Batch=659, step=13860, lr=0.142250, batch loss=0.174400, epoch loss=1.572134 Batch=719, step=13920, lr=0.142250, batch loss=0.176327, epoch loss=1.748461 Batch=779, step=13980, lr=0.141750, batch loss=0.197255, epoch loss=1.945716 Batch=839, step=14040, lr=0.141500, batch loss=0.187117, epoch loss=2.132833 Batch=899, step=14100, lr=0.141250, batch loss=0.178832, epoch loss=2.311665 Batch=959, step=14160, lr=0.141000, batch loss=0.140395, epoch loss=2.452060 Batch=1019, step=14220, lr=0.141000, batch loss=0.275957, epoch loss=2.728016 Batch=1079, step=14280, lr=0.140750, batch loss=0.079402, epoch loss=2.807418 Batch=1139, step=14340, lr=0.140250, batch loss=0.119962, epoch loss=2.927380 Batch=1199, step=14400, lr=0.140250, batch loss=0.089024, epoch loss=3.016404 Epoch=11, step=14400, lr=0.140250, epoch loss=3.016404 Batch=59, step=14460, lr=0.140000, batch loss=0.111918, epoch loss=0.111918 Batch=119, step=14520, lr=0.139500, batch loss=0.108994, epoch loss=0.220912 Batch=179, step=14580, lr=0.139500, batch loss=0.104607, epoch loss=0.325519 Batch=239, step=14640, lr=0.139250, batch loss=0.138368, epoch loss=0.463887 Batch=299, step=14700, lr=0.138750, batch loss=0.080364, epoch loss=0.544251 Batch=359, step=14760, lr=0.138750, batch loss=0.116116, epoch loss=0.660367 Batch=419, step=14820, lr=0.138500, batch loss=0.125122, epoch loss=0.785489 Batch=479, step=14880, lr=0.138250, batch loss=0.101183, epoch loss=0.886672 Batch=539, step=14940, lr=0.138000, batch loss=0.106514, epoch loss=0.993186 Batch=599, step=15000, lr=0.137750, batch loss=0.084682, epoch loss=1.077868 Batch=659, step=15060, lr=0.137500, batch loss=0.126463, epoch loss=1.204331 Batch=719, step=15120, lr=0.137000, batch loss=0.117602, epoch loss=1.321933 Batch=779, step=15180, lr=0.137000, batch loss=0.118989, epoch loss=1.440922 Batch=839, step=15240, lr=0.136750, batch loss=0.158670, epoch loss=1.599593 Batch=899, step=15300, lr=0.136500, batch loss=0.252362, epoch loss=1.851955 Batch=959, step=15360, lr=0.136000, batch loss=0.062915, epoch loss=1.914870 Batch=1019, step=15420, lr=0.136000, batch loss=0.141220, epoch loss=2.056090 Batch=1079, step=15480, lr=0.135750, batch loss=0.045754, epoch loss=2.101844 Batch=1139, step=15540, lr=0.135250, batch loss=0.110636, epoch loss=2.212480 Batch=1199, step=15600, lr=0.135000, batch loss=0.060937, epoch loss=2.273417 Epoch=12, step=15600, lr=0.135000, epoch loss=2.273417 Batch=59, step=15660, lr=0.134750, batch loss=0.076737, epoch loss=0.076737 Batch=119, step=15720, lr=0.134500, batch loss=0.118295, epoch loss=0.195032 Batch=179, step=15780, lr=0.134250, batch loss=0.091467, epoch loss=0.286499 Batch=239, step=15840, lr=0.134250, batch loss=0.093380, epoch loss=0.379879 Batch=299, step=15900, lr=0.134000, batch loss=0.037353, epoch loss=0.417232 Batch=359, step=15960, lr=0.133750, batch loss=0.080234, epoch loss=0.497466 Batch=419, step=16020, lr=0.133500, batch loss=0.076700, epoch loss=0.574165 Batch=479, step=16080, lr=0.133250, batch loss=0.057457, epoch loss=0.631622 Batch=539, step=16140, lr=0.133000, batch loss=0.062714, epoch loss=0.694336 Batch=599, step=16200, lr=0.132750, batch loss=0.135980, epoch loss=0.830316 Batch=659, step=16260, lr=0.132500, batch loss=0.082230, epoch loss=0.912547 Batch=719, step=16320, lr=0.132250, batch loss=0.129876, epoch loss=1.042423 Batch=779, step=16380, lr=0.132000, batch loss=0.290808, epoch loss=1.333231 Batch=839, step=16440, lr=0.131750, batch loss=0.089642, epoch loss=1.422873 Batch=899, step=16500, lr=0.131500, batch loss=0.075264, epoch loss=1.498137 Batch=959, step=16560, lr=0.131250, batch loss=0.030829, epoch loss=1.528966 Batch=1019, step=16620, lr=0.131000, batch loss=0.067654, epoch loss=1.596620 Batch=1079, step=16680, lr=0.130750, batch loss=0.045027, epoch loss=1.641647 Batch=1139, step=16740, lr=0.130250, batch loss=0.075900, epoch loss=1.717547 Batch=1199, step=16800, lr=0.130250, batch loss=0.035654, epoch loss=1.753201 Epoch=13, step=16800, lr=0.130250, epoch loss=1.753201 Batch=59, step=16860, lr=0.130000, batch loss=0.033735, epoch loss=0.033735 Batch=119, step=16920, lr=0.129750, batch loss=0.035886, epoch loss=0.069621 Batch=179, step=16980, lr=0.129500, batch loss=0.042124, epoch loss=0.111745 Batch=239, step=17040, lr=0.129250, batch loss=0.056973, epoch loss=0.168719 Batch=299, step=17100, lr=0.129000, batch loss=0.019627, epoch loss=0.188346 Batch=359, step=17160, lr=0.128750, batch loss=0.041846, epoch loss=0.230192 Batch=419, step=17220, lr=0.128500, batch loss=0.044276, epoch loss=0.274469 Batch=479, step=17280, lr=0.128250, batch loss=0.025356, epoch loss=0.299824 Batch=539, step=17340, lr=0.128000, batch loss=0.053472, epoch loss=0.353296 Batch=599, step=17400, lr=0.127750, batch loss=0.034942, epoch loss=0.388238 Batch=659, step=17460, lr=0.127500, batch loss=0.047571, epoch loss=0.435809 Batch=719, step=17520, lr=0.127000, batch loss=0.041138, epoch loss=0.476947 Batch=779, step=17580, lr=0.127000, batch loss=0.069724, epoch loss=0.546671 Batch=839, step=17640, lr=0.126750, batch loss=0.083388, epoch loss=0.630059 Batch=899, step=17700, lr=0.126500, batch loss=0.116872, epoch loss=0.746931 Batch=959, step=17760, lr=0.126250, batch loss=0.032225, epoch loss=0.779155 Batch=1019, step=17820, lr=0.126000, batch loss=0.062733, epoch loss=0.841888 Batch=1079, step=17880, lr=0.125750, batch loss=0.018646, epoch loss=0.860534 Batch=1139, step=17940, lr=0.125500, batch loss=0.038398, epoch loss=0.898932 Batch=1199, step=18000, lr=0.125250, batch loss=0.018774, epoch loss=0.917706 Epoch=14, step=18000, lr=0.125250, epoch loss=0.917706 Batch=59, step=18060, lr=0.125000, batch loss=0.012249, epoch loss=0.012249 Batch=119, step=18120, lr=0.124750, batch loss=0.019453, epoch loss=0.031702 Batch=179, step=18180, lr=0.124500, batch loss=0.029140, epoch loss=0.060842 Batch=239, step=18240, lr=0.124250, batch loss=0.033065, epoch loss=0.093908 Batch=299, step=18300, lr=0.124000, batch loss=0.010015, epoch loss=0.103923 Batch=359, step=18360, lr=0.123750, batch loss=0.023876, epoch loss=0.127799 Batch=419, step=18420, lr=0.123500, batch loss=0.030461, epoch loss=0.158260 Batch=479, step=18480, lr=0.123250, batch loss=0.018953, epoch loss=0.177213 Batch=539, step=18540, lr=0.122750, batch loss=0.031368, epoch loss=0.208581 Batch=599, step=18600, lr=0.122500, batch loss=0.025122, epoch loss=0.233704 Batch=659, step=18660, lr=0.122250, batch loss=0.032726, epoch loss=0.266429 Batch=719, step=18720, lr=0.122000, batch loss=0.041262, epoch loss=0.307691 Batch=779, step=18780, lr=0.121750, batch loss=0.119032, epoch loss=0.426723 Batch=839, step=18840, lr=0.121750, batch loss=0.054895, epoch loss=0.481618 Batch=899, step=18900, lr=0.121250, batch loss=0.058349, epoch loss=0.539967 Batch=959, step=18960, lr=0.121000, batch loss=0.013677, epoch loss=0.553644 Batch=1019, step=19020, lr=0.121000, batch loss=0.016933, epoch loss=0.570577 Batch=1079, step=19080, lr=0.120500, batch loss=0.009398, epoch loss=0.579975 Batch=1139, step=19140, lr=0.120250, batch loss=0.023145, epoch loss=0.603120 Batch=1199, step=19200, lr=0.120250, batch loss=0.009431, epoch loss=0.612551 Epoch=15, step=19200, lr=0.120250, epoch loss=0.612551 Batch=59, step=19260, lr=0.120000, batch loss=0.004353, epoch loss=0.004353 Batch=119, step=19320, lr=0.119500, batch loss=0.023579, epoch loss=0.027932 Batch=179, step=19380, lr=0.119500, batch loss=0.072678, epoch loss=0.100610 Batch=239, step=19440, lr=0.119250, batch loss=0.027560, epoch loss=0.128170 Batch=299, step=19500, lr=0.119000, batch loss=0.011056, epoch loss=0.139226 Batch=359, step=19560, lr=0.118750, batch loss=0.023624, epoch loss=0.162849 Batch=419, step=19620, lr=0.118250, batch loss=0.020729, epoch loss=0.183579 Batch=479, step=19680, lr=0.118250, batch loss=0.007480, epoch loss=0.191059 Batch=539, step=19740, lr=0.118000, batch loss=0.018216, epoch loss=0.209275 Batch=599, step=19800, lr=0.117750, batch loss=0.021441, epoch loss=0.230716 Batch=659, step=19860, lr=0.117250, batch loss=0.016721, epoch loss=0.247437 Batch=719, step=19920, lr=0.117250, batch loss=0.032365, epoch loss=0.279803 Batch=779, step=19980, lr=0.116750, batch loss=0.063812, epoch loss=0.343615 Batch=839, step=20040, lr=0.116750, batch loss=0.031036, epoch loss=0.374651 Batch=899, step=20100, lr=0.116250, batch loss=0.029021, epoch loss=0.403672 Batch=959, step=20160, lr=0.116000, batch loss=0.012893, epoch loss=0.416565 Batch=1019, step=20220, lr=0.116000, batch loss=0.013005, epoch loss=0.429570 Batch=1079, step=20280, lr=0.115500, batch loss=0.003020, epoch loss=0.432590 Batch=1139, step=20340, lr=0.115250, batch loss=0.015713, epoch loss=0.448304 Batch=1199, step=20400, lr=0.115000, batch loss=0.006018, epoch loss=0.454322 Epoch=16, step=20400, lr=0.115000, epoch loss=0.454322 Batch=59, step=20460, lr=0.114750, batch loss=0.002930, epoch loss=0.002930 Batch=119, step=20520, lr=0.114750, batch loss=0.011410, epoch loss=0.014340 Batch=179, step=20580, lr=0.114250, batch loss=0.025970, epoch loss=0.040310 Batch=239, step=20640, lr=0.114000, batch loss=0.014750, epoch loss=0.055060 Batch=299, step=20700, lr=0.114000, batch loss=0.003854, epoch loss=0.058914 Batch=359, step=20760, lr=0.113500, batch loss=0.013747, epoch loss=0.072661 Batch=419, step=20820, lr=0.113250, batch loss=0.014751, epoch loss=0.087412 Batch=479, step=20880, lr=0.113250, batch loss=0.006341, epoch loss=0.093753 Batch=539, step=20940, lr=0.113000, batch loss=0.016625, epoch loss=0.110378 Batch=599, step=21000, lr=0.112500, batch loss=0.018243, epoch loss=0.128621 Batch=659, step=21060, lr=0.112500, batch loss=0.013329, epoch loss=0.141950 Batch=719, step=21120, lr=0.112000, batch loss=0.034549, epoch loss=0.176498 Batch=779, step=21180, lr=0.112000, batch loss=0.062902, epoch loss=0.239400 Batch=839, step=21240, lr=0.111750, batch loss=0.024509, epoch loss=0.263909 Batch=899, step=21300, lr=0.111250, batch loss=0.032305, epoch loss=0.296214 Batch=959, step=21360, lr=0.111000, batch loss=0.010484, epoch loss=0.306698 Batch=1019, step=21420, lr=0.111000, batch loss=0.011617, epoch loss=0.318316 Batch=1079, step=21480, lr=0.110750, batch loss=0.001031, epoch loss=0.319347 Batch=1139, step=21540, lr=0.110500, batch loss=0.013270, epoch loss=0.332617 Batch=1199, step=21600, lr=0.110250, batch loss=0.005416, epoch loss=0.338033 Epoch=17, step=21600, lr=0.110250, epoch loss=0.338033 Batch=59, step=21660, lr=0.110000, batch loss=0.002471, epoch loss=0.002471 Batch=119, step=21720, lr=0.109750, batch loss=0.006746, epoch loss=0.009217 Batch=179, step=21780, lr=0.109250, batch loss=0.012860, epoch loss=0.022077 Batch=239, step=21840, lr=0.109250, batch loss=0.009737, epoch loss=0.031814 Batch=299, step=21900, lr=0.108750, batch loss=0.016069, epoch loss=0.047883 Batch=359, step=21960, lr=0.108750, batch loss=0.014957, epoch loss=0.062840 Batch=419, step=22020, lr=0.108500, batch loss=0.013530, epoch loss=0.076370 Batch=479, step=22080, lr=0.108250, batch loss=0.003214, epoch loss=0.079584 Batch=539, step=22140, lr=0.108000, batch loss=0.016567, epoch loss=0.096151 Batch=599, step=22200, lr=0.107500, batch loss=0.015713, epoch loss=0.111864 Batch=659, step=22260, lr=0.107250, batch loss=0.011710, epoch loss=0.123574 Batch=719, step=22320, lr=0.107000, batch loss=0.018506, epoch loss=0.142080 Batch=779, step=22380, lr=0.106750, batch loss=0.024611, epoch loss=0.166691 Batch=839, step=22440, lr=0.106750, batch loss=0.027513, epoch loss=0.194204 Batch=899, step=22500, lr=0.106500, batch loss=0.025646, epoch loss=0.219850 Batch=959, step=22560, lr=0.106000, batch loss=0.009022, epoch loss=0.228873 Batch=1019, step=22620, lr=0.106000, batch loss=0.008782, epoch loss=0.237655 Batch=1079, step=22680, lr=0.105500, batch loss=0.002221, epoch loss=0.239876 Batch=1139, step=22740, lr=0.105500, batch loss=0.010631, epoch loss=0.250506 Batch=1199, step=22800, lr=0.105250, batch loss=0.005032, epoch loss=0.255539 Epoch=18, step=22800, lr=0.105250, epoch loss=0.255539 Batch=59, step=22860, lr=0.104750, batch loss=0.001816, epoch loss=0.001816 Batch=119, step=22920, lr=0.104500, batch loss=0.005559, epoch loss=0.007375 Batch=179, step=22980, lr=0.104250, batch loss=0.010878, epoch loss=0.018253 Batch=239, step=23040, lr=0.104250, batch loss=0.008931, epoch loss=0.027184 Batch=299, step=23100, lr=0.103750, batch loss=0.006957, epoch loss=0.034141 Batch=359, step=23160, lr=0.103500, batch loss=0.012266, epoch loss=0.046406 Batch=419, step=23220, lr=0.103500, batch loss=0.011175, epoch loss=0.057581 Batch=479, step=23280, lr=0.103000, batch loss=0.002790, epoch loss=0.060371 Batch=539, step=23340, lr=0.102750, batch loss=0.016711, epoch loss=0.077082 Batch=599, step=23400, lr=0.102500, batch loss=0.014071, epoch loss=0.091153 Batch=659, step=23460, lr=0.102500, batch loss=0.010846, epoch loss=0.101999 Batch=719, step=23520, lr=0.102000, batch loss=0.015467, epoch loss=0.117466 Batch=779, step=23580, lr=0.101750, batch loss=0.022424, epoch loss=0.139890 Batch=839, step=23640, lr=0.101750, batch loss=0.025348, epoch loss=0.165238 Batch=899, step=23700, lr=0.101250, batch loss=0.023833, epoch loss=0.189071 Batch=959, step=23760, lr=0.101000, batch loss=0.008919, epoch loss=0.197990 Batch=1019, step=23820, lr=0.100750, batch loss=0.008171, epoch loss=0.206161 Batch=1079, step=23880, lr=0.100500, batch loss=0.000790, epoch loss=0.206951 Batch=1139, step=23940, lr=0.100250, batch loss=0.009429, epoch loss=0.216379 Batch=1199, step=24000, lr=0.100000, batch loss=0.004990, epoch loss=0.221369 Epoch=19, step=24000, lr=0.100000, epoch loss=0.221369 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########****************************************..│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#********************************.......│ │*******######**##**************..******************#*######*#******************************.........│ │*******##*##**##***********..........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####**********************........%.%.%.│ │***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│ │****#######***********.........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######*************.............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######******.................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................******...................%.%%.%%......│ │**************.......................%..%%%%%%%.................***...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 16:29.06 ---> saved as "17ab3156e63b1375d6a4dea0033daf15e76b468ca0f762751075ee080a49c593" Job succeeded 2025-03-21 16:29.08: Job succeeded