2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (linux-x86_64:fedora-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 8b6a6fac 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 14:48.49: 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 14:48.49: 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 14:48.49: Waiting for resource in pool OCluster 2025-03-21 14:48.50: Waiting for worker… 2025-03-21 14:49.11: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests (from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e) 2025-03-21 14:49.54 ---> 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_64 203 kB/s | 27 kB 00:00 Fedora 40 - x86_64 - Updates 99 kB/s | 12 kB 00:00 Fedora 40 - x86_64 - Updates 4.5 MB/s | 5.8 MB 00:01 Package findutils-1:4.9.0-9.fc40.x86_64 is already installed. Dependencies resolved. Nothing to do. Complete! 2025-03-21 14:50.05 ---> saved as "94cbd80bcc330ce623803fbb520a85cab1400e88c96764ea5c2e02cd7e19ad53" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 14:50.05 ---> 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 14:51.25 ---> 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 14:51.25 ---> saved as "e1cd23eff74270a484a5911f8cc469d53dbcdcfafe79312b85310d9254a411b6" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 14:51.25 ---> 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 14:52.35 ---> saved as "dab772aca77df98414fc328dd4b874f99de8a0ed482ec5e55cda5daf184a72c6" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 14:52.35 ---> 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 14:52.38 ---> saved as "bc242b916d36f5a95dd95336431aadab2520d42f08a0a9d7cf798fdf8a85a529" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 14:52.38 ---> 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_64 194 kB/s | 27 kB 00:00 - Fedora 40 openh264 (From Cisco) - x86_64 6.1 kB/s | 989 B 00:00 - Fedora 40 - x86_64 - Updates 63 kB/s | 12 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: 0:00:20 ago on Fri Mar 21 14:52:39 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 299 kB/s | 28 kB 00:00 - -------------------------------------------------------------------------------- - Total 121 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 14:53.00 ---> 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 jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> 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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed base.v0.17.1 -> installed printbox-text.0.12 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed printbox-md.0.12 -> installed ctypes-foreign.0.23.0 -> 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_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 14:55.49 ---> saved as "8a6dc909c2f8092d37652e785545688022c93f063e0b881d32efb3c60109259c" /src: (copy (src .) (dst /src)) 2025-03-21 14:55.49 ---> saved as "80c3079ea870e7922cc5d760332b2596c8261f9b2cd470cf326f91f7e0578227" /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/692745e21a924c69c7e33b4c63bc7268/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/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/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/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/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/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/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/452bc51fdabde8842f8bc446fabfad2b/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/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/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/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/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/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/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/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/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/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/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/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/692745e21a924c69c7e33b4c63bc7268/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=0.193000, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209810, epoch loss=2.421642 Batch=599, step=1800, lr=0.192750, batch loss=0.250421, epoch loss=2.672062 Batch=659, step=1860, lr=0.192500, batch loss=0.367173, epoch loss=3.039235 Batch=719, step=1920, lr=0.192250, batch loss=0.354950, epoch loss=3.394185 Batch=779, step=1980, lr=0.192000, batch loss=0.381359, epoch loss=3.775544 Batch=839, step=2040, lr=0.191750, batch loss=0.339643, epoch loss=4.115187 Batch=899, step=2100, lr=0.191500, batch loss=0.295232, epoch loss=4.410419 Batch=959, step=2160, lr=0.191250, batch loss=0.214060, epoch loss=4.624479 Batch=1019, step=2220, lr=0.190750, batch loss=0.330923, epoch loss=4.955401 Batch=1079, step=2280, lr=0.190750, batch loss=0.208061, epoch loss=5.163462 Batch=1139, step=2340, lr=0.190500, batch loss=0.278532, epoch loss=5.441994 Batch=1199, step=2400, lr=0.190250, batch loss=0.220744, epoch loss=5.662738 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662738 Batch=59, step=2460, lr=0.190000, batch loss=0.230299, epoch loss=0.230299 Batch=119, step=2520, lr=0.189750, batch loss=0.196030, epoch loss=0.426330 Batch=179, step=2580, lr=0.189250, batch loss=0.221131, epoch loss=0.647461 Batch=239, step=2640, lr=0.189250, batch loss=0.328107, epoch loss=0.975568 Batch=299, step=2700, lr=0.189000, batch loss=0.202992, epoch loss=1.178560 Batch=359, step=2760, lr=0.188750, batch loss=0.289853, epoch loss=1.468413 Batch=419, step=2820, lr=0.188500, batch loss=0.281797, epoch loss=1.750210 Batch=479, step=2880, lr=0.188250, batch loss=0.264782, epoch loss=2.014992 Batch=539, step=2940, lr=0.188000, batch loss=0.203877, epoch loss=2.218869 Batch=599, step=3000, lr=0.187750, batch loss=0.247989, epoch loss=2.466858 Batch=659, step=3060, lr=0.187500, batch loss=0.345121, epoch loss=2.811979 Batch=719, step=3120, lr=0.187250, batch loss=0.343475, epoch loss=3.155454 Batch=779, step=3180, lr=0.186750, batch loss=0.367055, epoch loss=3.522510 Batch=839, step=3240, lr=0.186750, batch loss=0.321747, epoch loss=3.844257 Batch=899, step=3300, lr=0.186500, batch loss=0.280274, epoch loss=4.124530 Batch=959, step=3360, lr=0.186000, batch loss=0.204674, epoch loss=4.329204 Batch=1019, step=3420, lr=0.186000, batch loss=0.319612, epoch loss=4.648817 Batch=1079, step=3480, lr=0.185500, batch loss=0.193425, epoch loss=4.842242 Batch=1139, step=3540, lr=0.185500, batch loss=0.240857, epoch loss=5.083099 Batch=1199, step=3600, lr=0.185250, batch loss=0.199343, epoch loss=5.282442 Epoch=2, step=3600, lr=0.185250, epoch loss=5.282442 Batch=59, step=3660, lr=0.185000, batch loss=0.220372, epoch loss=0.220372 Batch=119, step=3720, lr=0.184750, batch loss=0.185830, epoch loss=0.406202 Batch=179, step=3780, lr=0.184500, batch loss=0.210567, epoch loss=0.616769 Batch=239, step=3840, lr=0.184000, batch loss=0.314662, epoch loss=0.931431 Batch=299, step=3900, lr=0.184000, batch loss=0.204095, epoch loss=1.135525 Batch=359, step=3960, lr=0.183750, batch loss=0.281197, epoch loss=1.416722 Batch=419, step=4020, lr=0.183500, batch loss=0.271776, epoch loss=1.688499 Batch=479, step=4080, lr=0.183250, batch loss=0.249096, epoch loss=1.937595 Batch=539, step=4140, lr=0.183000, batch loss=0.195632, epoch loss=2.133227 Batch=599, step=4200, lr=0.182750, batch loss=0.242682, epoch loss=2.375908 Batch=659, step=4260, lr=0.182500, batch loss=0.327649, epoch loss=2.703557 Batch=719, step=4320, lr=0.182250, batch loss=0.326261, epoch loss=3.029818 Batch=779, step=4380, lr=0.182000, batch loss=0.352831, epoch loss=3.382649 Batch=839, step=4440, lr=0.181750, batch loss=0.316232, epoch loss=3.698881 Batch=899, step=4500, lr=0.181500, batch loss=0.279690, epoch loss=3.978570 Batch=959, step=4560, lr=0.181250, batch loss=0.217364, epoch loss=4.195934 Batch=1019, step=4620, lr=0.181000, batch loss=0.357052, epoch loss=4.552986 Batch=1079, step=4680, lr=0.180500, batch loss=0.211205, epoch loss=4.764191 Batch=1139, step=4740, lr=0.180500, batch loss=0.248157, epoch loss=5.012348 Batch=1199, step=4800, lr=0.180250, batch loss=0.190119, epoch loss=5.202467 Epoch=3, step=4800, lr=0.180250, epoch loss=5.202467 Batch=59, step=4860, lr=0.180000, batch loss=0.222184, epoch loss=0.222184 Batch=119, step=4920, lr=0.179750, batch loss=0.188804, epoch loss=0.410988 Batch=179, step=4980, lr=0.179500, batch loss=0.206125, epoch loss=0.617114 Batch=239, step=5040, lr=0.179250, batch loss=0.306635, epoch loss=0.923748 Batch=299, step=5100, lr=0.179000, batch loss=0.202799, epoch loss=1.126547 Batch=359, step=5160, lr=0.178750, batch loss=0.272118, epoch loss=1.398665 Batch=419, step=5220, lr=0.178500, batch loss=0.263563, epoch loss=1.662228 Batch=479, step=5280, lr=0.178000, batch loss=0.239895, epoch loss=1.902123 Batch=539, step=5340, lr=0.177750, batch loss=0.188891, epoch loss=2.091014 Batch=599, step=5400, lr=0.177500, batch loss=0.233202, epoch loss=2.324216 Batch=659, step=5460, lr=0.177500, batch loss=0.322630, epoch loss=2.646846 Batch=719, step=5520, lr=0.177250, batch loss=0.325027, epoch loss=2.971873 Batch=779, step=5580, lr=0.177000, batch loss=0.336859, epoch loss=3.308733 Batch=839, step=5640, lr=0.176500, batch loss=0.314205, epoch loss=3.622938 Batch=899, step=5700, lr=0.176250, batch loss=0.276656, epoch loss=3.899594 Batch=959, step=5760, lr=0.176250, batch loss=0.209274, epoch loss=4.108868 Batch=1019, step=5820, lr=0.176000, batch loss=0.343941, epoch loss=4.452809 Batch=1079, step=5880, lr=0.175750, batch loss=0.212087, epoch loss=4.664896 Batch=1139, step=5940, lr=0.175500, batch loss=0.239423, epoch loss=4.904318 Batch=1199, step=6000, lr=0.175000, batch loss=0.186685, epoch loss=5.091003 Epoch=4, step=6000, lr=0.175000, epoch loss=5.091003 Batch=59, step=6060, lr=0.175000, batch loss=0.231871, epoch loss=0.231871 Batch=119, step=6120, lr=0.174500, batch loss=0.194151, epoch loss=0.426022 Batch=179, step=6180, lr=0.174250, batch loss=0.200389, epoch loss=0.626411 Batch=239, step=6240, lr=0.174250, batch loss=0.300238, epoch loss=0.926649 Batch=299, step=6300, lr=0.174000, batch loss=0.213185, epoch loss=1.139834 Batch=359, step=6360, lr=0.173750, batch loss=0.272527, epoch loss=1.412362 Batch=419, step=6420, lr=0.173500, batch loss=0.267433, epoch loss=1.679795 Batch=479, step=6480, lr=0.173250, batch loss=0.241478, epoch loss=1.921273 Batch=539, step=6540, lr=0.173000, batch loss=0.197138, epoch loss=2.118410 Batch=599, step=6600, lr=0.172750, batch loss=0.232373, epoch loss=2.350784 Batch=659, step=6660, lr=0.172250, batch loss=0.313582, epoch loss=2.664366 Batch=719, step=6720, lr=0.172250, batch loss=0.317888, epoch loss=2.982254 Batch=779, step=6780, lr=0.172000, batch loss=0.330109, epoch loss=3.312363 Batch=839, step=6840, lr=0.171750, batch loss=0.305676, epoch loss=3.618040 Batch=899, step=6900, lr=0.171500, batch loss=0.264441, epoch loss=3.882481 Batch=959, step=6960, lr=0.171250, batch loss=0.219062, epoch loss=4.101544 Batch=1019, step=7020, lr=0.171000, batch loss=0.329722, epoch loss=4.431266 Batch=1079, step=7080, lr=0.170750, batch loss=0.186396, epoch loss=4.617662 Batch=1139, step=7140, lr=0.170500, batch loss=0.214798, epoch loss=4.832460 Batch=1199, step=7200, lr=0.170250, batch loss=0.184434, epoch loss=5.016895 Epoch=5, step=7200, lr=0.170250, epoch loss=5.016895 Batch=59, step=7260, lr=0.170000, batch loss=0.235856, epoch loss=0.235856 Batch=119, step=7320, lr=0.169750, batch loss=0.182968, epoch loss=0.418824 Batch=179, step=7380, lr=0.169500, batch loss=0.195706, epoch loss=0.614530 Batch=239, step=7440, lr=0.169250, batch loss=0.293576, epoch loss=0.908105 Batch=299, step=7500, lr=0.169000, batch loss=0.203459, epoch loss=1.111564 Batch=359, step=7560, lr=0.168750, batch loss=0.256643, epoch loss=1.368207 Batch=419, step=7620, lr=0.168500, batch loss=0.256791, epoch loss=1.624998 Batch=479, step=7680, lr=0.168250, batch loss=0.235962, epoch loss=1.860959 Batch=539, step=7740, lr=0.168000, batch loss=0.188678, epoch loss=2.049637 Batch=599, step=7800, lr=0.167750, batch loss=0.224783, epoch loss=2.274420 Batch=659, step=7860, lr=0.167500, batch loss=0.304684, epoch loss=2.579104 Batch=719, step=7920, lr=0.167250, batch loss=0.307855, epoch loss=2.886959 Batch=779, step=7980, lr=0.167000, batch loss=0.320095, epoch loss=3.207054 Batch=839, step=8040, lr=0.166750, batch loss=0.296428, epoch loss=3.503482 Batch=899, step=8100, lr=0.166500, batch loss=0.257786, epoch loss=3.761268 Batch=959, step=8160, lr=0.166250, batch loss=0.209009, epoch loss=3.970277 Batch=1019, step=8220, lr=0.166000, batch loss=0.319798, epoch loss=4.290075 Batch=1079, step=8280, lr=0.165750, batch loss=0.175337, epoch loss=4.465412 Batch=1139, step=8340, lr=0.165250, batch loss=0.208978, epoch loss=4.674391 Batch=1199, step=8400, lr=0.165250, batch loss=0.177696, epoch loss=4.852086 Epoch=6, step=8400, lr=0.165250, epoch loss=4.852086 Batch=59, step=8460, lr=0.165000, batch loss=0.228846, epoch loss=0.228846 Batch=119, step=8520, lr=0.164750, batch loss=0.174966, epoch loss=0.403812 Batch=179, step=8580, lr=0.164500, batch loss=0.187376, epoch loss=0.591189 Batch=239, step=8640, lr=0.164250, batch loss=0.277130, epoch loss=0.868319 Batch=299, step=8700, lr=0.164000, batch loss=0.190992, epoch loss=1.059311 Batch=359, step=8760, lr=0.163750, batch loss=0.247992, epoch loss=1.307303 Batch=419, step=8820, lr=0.163500, batch loss=0.244999, epoch loss=1.552302 Batch=479, step=8880, lr=0.163250, batch loss=0.227826, epoch loss=1.780128 Batch=539, step=8940, lr=0.162750, batch loss=0.178652, epoch loss=1.958781 Batch=599, step=9000, lr=0.162750, batch loss=0.217283, epoch loss=2.176064 Batch=659, step=9060, lr=0.162500, batch loss=0.293784, epoch loss=2.469848 Batch=719, step=9120, lr=0.162250, batch loss=0.293479, epoch loss=2.763327 Batch=779, step=9180, lr=0.162000, batch loss=0.315561, epoch loss=3.078888 Batch=839, step=9240, lr=0.161750, batch loss=0.285872, epoch loss=3.364760 Batch=899, step=9300, lr=0.161500, batch loss=0.250894, epoch loss=3.615654 Batch=959, step=9360, lr=0.161250, batch loss=0.189581, epoch loss=3.805235 Batch=1019, step=9420, lr=0.161000, batch loss=0.317030, epoch loss=4.122265 Batch=1079, step=9480, lr=0.160750, batch loss=0.187819, epoch loss=4.310084 Batch=1139, step=9540, lr=0.160500, batch loss=0.211862, epoch loss=4.521946 Batch=1199, step=9600, lr=0.160250, batch loss=0.166222, epoch loss=4.688168 Epoch=7, step=9600, lr=0.160250, epoch loss=4.688168 Batch=59, step=9660, lr=0.160000, batch loss=0.201316, epoch loss=0.201316 Batch=119, step=9720, lr=0.159750, batch loss=0.170106, epoch loss=0.371422 Batch=179, step=9780, lr=0.159500, batch loss=0.178856, epoch loss=0.550278 Batch=239, step=9840, lr=0.159250, batch loss=0.261354, epoch loss=0.811632 Batch=299, step=9900, lr=0.159000, batch loss=0.183305, epoch loss=0.994937 Batch=359, step=9960, lr=0.158500, batch loss=0.238070, epoch loss=1.233007 Batch=419, step=10020, lr=0.158500, batch loss=0.232620, epoch loss=1.465627 Batch=479, step=10080, lr=0.158250, batch loss=0.219360, epoch loss=1.684987 Batch=539, step=10140, lr=0.158000, batch loss=0.169851, epoch loss=1.854838 Batch=599, step=10200, lr=0.157750, batch loss=0.202725, epoch loss=2.057563 Batch=659, step=10260, lr=0.157500, batch loss=0.279600, epoch loss=2.337163 Batch=719, step=10320, lr=0.157250, batch loss=0.284127, epoch loss=2.621290 Batch=779, step=10380, lr=0.157000, batch loss=0.292624, epoch loss=2.913914 Batch=839, step=10440, lr=0.156750, batch loss=0.265519, epoch loss=3.179433 Batch=899, step=10500, lr=0.156500, batch loss=0.240749, epoch loss=3.420182 Batch=959, step=10560, lr=0.156250, batch loss=0.196673, epoch loss=3.616855 Batch=1019, step=10620, lr=0.155750, batch loss=0.278304, epoch loss=3.895159 Batch=1079, step=10680, lr=0.155750, batch loss=0.168380, epoch loss=4.063539 Batch=1139, step=10740, lr=0.155500, batch loss=0.200257, epoch loss=4.263796 Batch=1199, step=10800, lr=0.155250, batch loss=0.153846, epoch loss=4.417642 Epoch=8, step=10800, lr=0.155250, epoch loss=4.417642 Batch=59, step=10860, lr=0.155000, batch loss=0.178863, epoch loss=0.178863 Batch=119, step=10920, lr=0.154750, batch loss=0.148821, epoch loss=0.327685 Batch=179, step=10980, lr=0.154500, batch loss=0.164471, epoch loss=0.492155 Batch=239, step=11040, lr=0.154250, batch loss=0.241094, epoch loss=0.733249 Batch=299, step=11100, lr=0.154000, batch loss=0.167701, epoch loss=0.900950 Batch=359, step=11160, lr=0.153750, batch loss=0.222302, epoch loss=1.123252 Batch=419, step=11220, lr=0.153500, batch loss=0.234344, epoch loss=1.357596 Batch=479, step=11280, lr=0.153250, batch loss=0.196824, epoch loss=1.554420 Batch=539, step=11340, lr=0.153000, batch loss=0.156485, epoch loss=1.710905 Batch=599, step=11400, lr=0.152750, batch loss=0.180878, epoch loss=1.891783 Batch=659, step=11460, lr=0.152500, batch loss=0.261289, epoch loss=2.153072 Batch=719, step=11520, lr=0.152250, batch loss=0.254618, epoch loss=2.407691 Batch=779, step=11580, lr=0.152000, batch loss=0.268813, epoch loss=2.676504 Batch=839, step=11640, lr=0.151750, batch loss=0.255498, epoch loss=2.932001 Batch=899, step=11700, lr=0.151500, batch loss=0.215154, epoch loss=3.147155 Batch=959, step=11760, lr=0.151250, batch loss=0.173175, epoch loss=3.320330 Batch=1019, step=11820, lr=0.151000, batch loss=0.257875, epoch loss=3.578206 Batch=1079, step=11880, lr=0.150750, batch loss=0.139336, epoch loss=3.717542 Batch=1139, step=11940, lr=0.150500, batch loss=0.179270, epoch loss=3.896811 Batch=1199, step=12000, lr=0.150250, batch loss=0.138359, epoch loss=4.035170 Epoch=9, step=12000, lr=0.150250, epoch loss=4.035170 Batch=59, step=12060, lr=0.150000, batch loss=0.159826, epoch loss=0.159826 Batch=119, step=12120, lr=0.149750, batch loss=0.135968, epoch loss=0.295794 Batch=179, step=12180, lr=0.149500, batch loss=0.149865, epoch loss=0.445659 Batch=239, step=12240, lr=0.149250, batch loss=0.217356, epoch loss=0.663015 Batch=299, step=12300, lr=0.149000, batch loss=0.140328, epoch loss=0.803343 Batch=359, step=12360, lr=0.148750, batch loss=0.197233, epoch loss=1.000576 Batch=419, step=12420, lr=0.148500, batch loss=0.204396, epoch loss=1.204972 Batch=479, step=12480, lr=0.148250, batch loss=0.177336, epoch loss=1.382307 Batch=539, step=12540, lr=0.148000, batch loss=0.140989, epoch loss=1.523296 Batch=599, step=12600, lr=0.147750, batch loss=0.146859, epoch loss=1.670155 Batch=659, step=12660, lr=0.147500, batch loss=0.225549, epoch loss=1.895704 Batch=719, step=12720, lr=0.147250, batch loss=0.234669, epoch loss=2.130373 Batch=779, step=12780, lr=0.147000, batch loss=0.263517, epoch loss=2.393890 Batch=839, step=12840, lr=0.146750, batch loss=0.230836, epoch loss=2.624726 Batch=899, step=12900, lr=0.146500, batch loss=0.202243, epoch loss=2.826969 Batch=959, step=12960, lr=0.146250, batch loss=0.143408, epoch loss=2.970377 Batch=1019, step=13020, lr=0.146000, batch loss=0.241915, epoch loss=3.212292 Batch=1079, step=13080, lr=0.145750, batch loss=0.111033, epoch loss=3.323325 Batch=1139, step=13140, lr=0.145500, batch loss=0.148293, epoch loss=3.471618 Batch=1199, step=13200, lr=0.145250, batch loss=0.114463, epoch loss=3.586081 Epoch=10, step=13200, lr=0.145250, epoch loss=3.586081 Batch=59, step=13260, lr=0.145000, batch loss=0.135654, epoch loss=0.135654 Batch=119, step=13320, lr=0.144750, batch loss=0.121935, epoch loss=0.257589 Batch=179, step=13380, lr=0.144500, batch loss=0.126291, epoch loss=0.383880 Batch=239, step=13440, lr=0.144250, batch loss=0.189234, epoch loss=0.573114 Batch=299, step=13500, lr=0.144000, batch loss=0.115379, epoch loss=0.688493 Batch=359, step=13560, lr=0.143750, batch loss=0.158428, epoch loss=0.846921 Batch=419, step=13620, lr=0.143500, batch loss=0.158168, epoch loss=1.005089 Batch=479, step=13680, lr=0.143250, batch loss=0.143432, epoch loss=1.148520 Batch=539, step=13740, lr=0.143000, batch loss=0.116259, epoch loss=1.264780 Batch=599, step=13800, lr=0.142750, batch loss=0.117606, epoch loss=1.382386 Batch=659, step=13860, lr=0.142500, batch loss=0.171800, epoch loss=1.554186 Batch=719, step=13920, lr=0.142250, batch loss=0.173204, epoch loss=1.727390 Batch=779, step=13980, lr=0.142000, batch loss=0.192735, epoch loss=1.920125 Batch=839, step=14040, lr=0.141750, batch loss=0.186930, epoch loss=2.107055 Batch=899, step=14100, lr=0.141500, batch loss=0.174692, epoch loss=2.281747 Batch=959, step=14160, lr=0.141250, batch loss=0.143228, epoch loss=2.424975 Batch=1019, step=14220, lr=0.141000, batch loss=0.318863, epoch loss=2.743838 Batch=1079, step=14280, lr=0.140750, batch loss=0.067552, epoch loss=2.811390 Batch=1139, step=14340, lr=0.140500, batch loss=0.127516, epoch loss=2.938907 Batch=1199, step=14400, lr=0.140250, batch loss=0.094171, epoch loss=3.033077 Epoch=11, step=14400, lr=0.140250, epoch loss=3.033077 Batch=59, step=14460, lr=0.140000, batch loss=0.109574, epoch loss=0.109574 Batch=119, step=14520, lr=0.139750, batch loss=0.100557, epoch loss=0.210131 Batch=179, step=14580, lr=0.139500, batch loss=0.103508, epoch loss=0.313638 Batch=239, step=14640, lr=0.139250, batch loss=0.137068, epoch loss=0.450706 Batch=299, step=14700, lr=0.139000, batch loss=0.078222, epoch loss=0.528929 Batch=359, step=14760, lr=0.138750, batch loss=0.123623, epoch loss=0.652552 Batch=419, step=14820, lr=0.138500, batch loss=0.125086, epoch loss=0.777638 Batch=479, step=14880, lr=0.138250, batch loss=0.100929, epoch loss=0.878567 Batch=539, step=14940, lr=0.138000, batch loss=0.111861, epoch loss=0.990428 Batch=599, step=15000, lr=0.137750, batch loss=0.085495, epoch loss=1.075923 Batch=659, step=15060, lr=0.137500, batch loss=0.123457, epoch loss=1.199380 Batch=719, step=15120, lr=0.137250, batch loss=0.128813, epoch loss=1.328193 Batch=779, step=15180, lr=0.137000, batch loss=0.146656, epoch loss=1.474849 Batch=839, step=15240, lr=0.136750, batch loss=0.152217, epoch loss=1.627065 Batch=899, step=15300, lr=0.136500, batch loss=0.246401, epoch loss=1.873466 Batch=959, step=15360, lr=0.136250, batch loss=0.051794, epoch loss=1.925260 Batch=1019, step=15420, lr=0.136000, batch loss=0.139859, epoch loss=2.065119 Batch=1079, step=15480, lr=0.135750, batch loss=0.044438, epoch loss=2.109557 Batch=1139, step=15540, lr=0.135500, batch loss=0.106445, epoch loss=2.216003 Batch=1199, step=15600, lr=0.135250, batch loss=0.058466, epoch loss=2.274469 Epoch=12, step=15600, lr=0.135250, epoch loss=2.274469 Batch=59, step=15660, lr=0.135000, batch loss=0.068374, epoch loss=0.068374 Batch=119, step=15720, lr=0.134750, batch loss=0.089069, epoch loss=0.157443 Batch=179, step=15780, lr=0.134500, batch loss=0.078630, epoch loss=0.236073 Batch=239, step=15840, lr=0.134250, batch loss=0.087794, epoch loss=0.323867 Batch=299, step=15900, lr=0.134000, batch loss=0.040896, epoch loss=0.364764 Batch=359, step=15960, lr=0.133750, batch loss=0.078913, epoch loss=0.443677 Batch=419, step=16020, lr=0.133500, batch loss=0.101122, epoch loss=0.544799 Batch=479, step=16080, lr=0.133250, batch loss=0.052351, epoch loss=0.597150 Batch=539, step=16140, lr=0.133000, batch loss=0.071087, epoch loss=0.668237 Batch=599, step=16200, lr=0.132750, batch loss=0.053555, epoch loss=0.721792 Batch=659, step=16260, lr=0.132500, batch loss=0.075307, epoch loss=0.797098 Batch=719, step=16320, lr=0.132250, batch loss=0.076497, epoch loss=0.873595 Batch=779, step=16380, lr=0.132000, batch loss=0.103659, epoch loss=0.977254 Batch=839, step=16440, lr=0.131750, batch loss=0.246859, epoch loss=1.224112 Batch=899, step=16500, lr=0.131500, batch loss=0.072960, epoch loss=1.297073 Batch=959, step=16560, lr=0.131250, batch loss=0.030864, epoch loss=1.327937 Batch=1019, step=16620, lr=0.131000, batch loss=0.064203, epoch loss=1.392140 Batch=1079, step=16680, lr=0.130750, batch loss=0.048123, epoch loss=1.440263 Batch=1139, step=16740, lr=0.130500, batch loss=0.082624, epoch loss=1.522887 Batch=1199, step=16800, lr=0.130250, batch loss=0.036387, epoch loss=1.559274 Epoch=13, step=16800, lr=0.130250, epoch loss=1.559274 Batch=59, step=16860, lr=0.130000, batch loss=0.030191, epoch loss=0.030191 Batch=119, step=16920, lr=0.129750, batch loss=0.031094, epoch loss=0.061285 Batch=179, step=16980, lr=0.129500, batch loss=0.040088, epoch loss=0.101373 Batch=239, step=17040, lr=0.129250, batch loss=0.054629, epoch loss=0.156002 Batch=299, step=17100, lr=0.129000, batch loss=0.018489, epoch loss=0.174491 Batch=359, step=17160, lr=0.128750, batch loss=0.037965, epoch loss=0.212456 Batch=419, step=17220, lr=0.128500, batch loss=0.047906, epoch loss=0.260362 Batch=479, step=17280, lr=0.128250, batch loss=0.045265, epoch loss=0.305627 Batch=539, step=17340, lr=0.128000, batch loss=0.106033, epoch loss=0.411660 Batch=599, step=17400, lr=0.127750, batch loss=0.041945, epoch loss=0.453606 Batch=659, step=17460, lr=0.127500, batch loss=0.049686, epoch loss=0.503292 Batch=719, step=17520, lr=0.127250, batch loss=0.059874, epoch loss=0.563166 Batch=779, step=17580, lr=0.127000, batch loss=0.122673, epoch loss=0.685840 Batch=839, step=17640, lr=0.126750, batch loss=0.068916, epoch loss=0.754756 Batch=899, step=17700, lr=0.126500, batch loss=0.080883, epoch loss=0.835639 Batch=959, step=17760, lr=0.126250, batch loss=0.028395, epoch loss=0.864034 Batch=1019, step=17820, lr=0.126000, batch loss=0.061791, epoch loss=0.925826 Batch=1079, step=17880, lr=0.125750, batch loss=0.026601, epoch loss=0.952426 Batch=1139, step=17940, lr=0.125500, batch loss=0.046849, epoch loss=0.999275 Batch=1199, step=18000, lr=0.125250, batch loss=0.019618, epoch loss=1.018893 Epoch=14, step=18000, lr=0.125250, epoch loss=1.018893 Batch=59, step=18060, lr=0.125000, batch loss=0.010991, epoch loss=0.010991 Batch=119, step=18120, lr=0.124750, batch loss=0.020803, epoch loss=0.031794 Batch=179, step=18180, lr=0.124500, batch loss=0.040028, epoch loss=0.071822 Batch=239, step=18240, lr=0.124250, batch loss=0.039298, epoch loss=0.111120 Batch=299, step=18300, lr=0.124000, batch loss=0.020952, epoch loss=0.132072 Batch=359, step=18360, lr=0.123750, batch loss=0.024565, epoch loss=0.156637 Batch=419, step=18420, lr=0.123500, batch loss=0.029251, epoch loss=0.185888 Batch=479, step=18480, lr=0.123250, batch loss=0.014886, epoch loss=0.200774 Batch=539, step=18540, lr=0.123000, batch loss=0.021157, epoch loss=0.221931 Batch=599, step=18600, lr=0.122750, batch loss=0.024651, epoch loss=0.246583 Batch=659, step=18660, lr=0.122500, batch loss=0.029859, epoch loss=0.276442 Batch=719, step=18720, lr=0.122250, batch loss=0.039293, epoch loss=0.315735 Batch=779, step=18780, lr=0.122000, batch loss=0.121566, epoch loss=0.437301 Batch=839, step=18840, lr=0.121750, batch loss=0.052653, epoch loss=0.489954 Batch=899, step=18900, lr=0.121500, batch loss=0.056303, epoch loss=0.546257 Batch=959, step=18960, lr=0.121250, batch loss=0.013494, epoch loss=0.559751 Batch=1019, step=19020, lr=0.121000, batch loss=0.014840, epoch loss=0.574591 Batch=1079, step=19080, lr=0.120750, batch loss=0.006857, epoch loss=0.581448 Batch=1139, step=19140, lr=0.120500, batch loss=0.023762, epoch loss=0.605210 Batch=1199, step=19200, lr=0.120250, batch loss=0.009578, epoch loss=0.614788 Epoch=15, step=19200, lr=0.120250, epoch loss=0.614788 Batch=59, step=19260, lr=0.120000, batch loss=0.004917, epoch loss=0.004917 Batch=119, step=19320, lr=0.119750, batch loss=0.017110, epoch loss=0.022027 Batch=179, step=19380, lr=0.119500, batch loss=0.039824, epoch loss=0.061850 Batch=239, step=19440, lr=0.119250, batch loss=0.021237, epoch loss=0.083087 Batch=299, step=19500, lr=0.119000, batch loss=0.004582, epoch loss=0.087669 Batch=359, step=19560, lr=0.118750, batch loss=0.017300, epoch loss=0.104969 Batch=419, step=19620, lr=0.118500, batch loss=0.018498, epoch loss=0.123468 Batch=479, step=19680, lr=0.118250, batch loss=0.005572, epoch loss=0.129039 Batch=539, step=19740, lr=0.118000, batch loss=0.025261, epoch loss=0.154300 Batch=599, step=19800, lr=0.117750, batch loss=0.028064, epoch loss=0.182364 Batch=659, step=19860, lr=0.117500, batch loss=0.015617, epoch loss=0.197981 Batch=719, step=19920, lr=0.117250, batch loss=0.033547, epoch loss=0.231529 Batch=779, step=19980, lr=0.117000, batch loss=0.065211, epoch loss=0.296740 Batch=839, step=20040, lr=0.116750, batch loss=0.030719, epoch loss=0.327458 Batch=899, step=20100, lr=0.116500, batch loss=0.027987, epoch loss=0.355445 Batch=959, step=20160, lr=0.116250, batch loss=0.016356, epoch loss=0.371801 Batch=1019, step=20220, lr=0.116000, batch loss=0.017399, epoch loss=0.389200 Batch=1079, step=20280, lr=0.115750, batch loss=0.001760, epoch loss=0.390960 Batch=1139, step=20340, lr=0.115500, batch loss=0.014026, epoch loss=0.404986 Batch=1199, step=20400, lr=0.115250, batch loss=0.007745, epoch loss=0.412731 Epoch=16, step=20400, lr=0.115250, epoch loss=0.412731 Batch=59, step=20460, lr=0.115000, batch loss=0.003893, epoch loss=0.003893 Batch=119, step=20520, lr=0.114750, batch loss=0.008480, epoch loss=0.012373 Batch=179, step=20580, lr=0.114500, batch loss=0.015535, epoch loss=0.027908 Batch=239, step=20640, lr=0.114250, batch loss=0.020741, epoch loss=0.048649 Batch=299, step=20700, lr=0.114000, batch loss=0.007936, epoch loss=0.056585 Batch=359, step=20760, lr=0.113750, batch loss=0.013489, epoch loss=0.070073 Batch=419, step=20820, lr=0.113500, batch loss=0.014059, epoch loss=0.084132 Batch=479, step=20880, lr=0.113250, batch loss=0.004635, epoch loss=0.088767 Batch=539, step=20940, lr=0.113000, batch loss=0.015083, epoch loss=0.103850 Batch=599, step=21000, lr=0.112750, batch loss=0.018574, epoch loss=0.122424 Batch=659, step=21060, lr=0.112500, batch loss=0.014807, epoch loss=0.137231 Batch=719, step=21120, lr=0.112250, batch loss=0.041748, epoch loss=0.178979 Batch=779, step=21180, lr=0.112000, batch loss=0.072312, epoch loss=0.251291 Batch=839, step=21240, lr=0.111750, batch loss=0.025421, epoch loss=0.276712 Batch=899, step=21300, lr=0.111500, batch loss=0.027574, epoch loss=0.304286 Batch=959, step=21360, lr=0.111250, batch loss=0.009744, epoch loss=0.314030 Batch=1019, step=21420, lr=0.111000, batch loss=0.009731, epoch loss=0.323762 Batch=1079, step=21480, lr=0.110750, batch loss=0.002314, epoch loss=0.326075 Batch=1139, step=21540, lr=0.110500, batch loss=0.012007, epoch loss=0.338083 Batch=1199, step=21600, lr=0.110250, batch loss=0.005235, epoch loss=0.343318 Epoch=17, step=21600, lr=0.110250, epoch loss=0.343318 Batch=59, step=21660, lr=0.110000, batch loss=0.001956, epoch loss=0.001956 Batch=119, step=21720, lr=0.109750, batch loss=0.006376, epoch loss=0.008333 Batch=179, step=21780, lr=0.109500, batch loss=0.012641, epoch loss=0.020974 Batch=239, step=21840, lr=0.109250, batch loss=0.011073, epoch loss=0.032047 Batch=299, step=21900, lr=0.109000, batch loss=0.012416, epoch loss=0.044463 Batch=359, step=21960, lr=0.108750, batch loss=0.012576, epoch loss=0.057039 Batch=419, step=22020, lr=0.108500, batch loss=0.012366, epoch loss=0.069405 Batch=479, step=22080, lr=0.108250, batch loss=0.002631, epoch loss=0.072036 Batch=539, step=22140, lr=0.108000, batch loss=0.016175, epoch loss=0.088211 Batch=599, step=22200, lr=0.107750, batch loss=0.016679, epoch loss=0.104890 Batch=659, step=22260, lr=0.107500, batch loss=0.016600, epoch loss=0.121490 Batch=719, step=22320, lr=0.107250, batch loss=0.020291, epoch loss=0.141781 Batch=779, step=22380, lr=0.107000, batch loss=0.030650, epoch loss=0.172432 Batch=839, step=22440, lr=0.106750, batch loss=0.030299, epoch loss=0.202731 Batch=899, step=22500, lr=0.106500, batch loss=0.023440, epoch loss=0.226171 Batch=959, step=22560, lr=0.106250, batch loss=0.010410, epoch loss=0.236580 Batch=1019, step=22620, lr=0.106000, batch loss=0.008056, epoch loss=0.244636 Batch=1079, step=22680, lr=0.105750, batch loss=0.001320, epoch loss=0.245956 Batch=1139, step=22740, lr=0.105500, batch loss=0.009914, epoch loss=0.255871 Batch=1199, step=22800, lr=0.105250, batch loss=0.005262, epoch loss=0.261133 Epoch=18, step=22800, lr=0.105250, epoch loss=0.261133 Batch=59, step=22860, lr=0.105000, batch loss=0.002415, epoch loss=0.002415 Batch=119, step=22920, lr=0.104750, batch loss=0.004378, epoch loss=0.006792 Batch=179, step=22980, lr=0.104500, batch loss=0.012450, epoch loss=0.019242 Batch=239, step=23040, lr=0.104250, batch loss=0.009154, epoch loss=0.028396 Batch=299, step=23100, lr=0.104000, batch loss=0.001443, epoch loss=0.029839 Batch=359, step=23160, lr=0.103750, batch loss=0.011276, epoch loss=0.041115 Batch=419, step=23220, lr=0.103500, batch loss=0.009478, epoch loss=0.050592 Batch=479, step=23280, lr=0.103250, batch loss=0.001919, epoch loss=0.052512 Batch=539, step=23340, lr=0.103000, batch loss=0.016466, epoch loss=0.068978 Batch=599, step=23400, lr=0.102750, batch loss=0.013057, epoch loss=0.082035 Batch=659, step=23460, lr=0.102500, batch loss=0.010662, epoch loss=0.092697 Batch=719, step=23520, lr=0.102250, batch loss=0.015863, epoch loss=0.108560 Batch=779, step=23580, lr=0.102000, batch loss=0.020678, epoch loss=0.129238 Batch=839, step=23640, lr=0.101750, batch loss=0.025035, epoch loss=0.154273 Batch=899, step=23700, lr=0.101500, batch loss=0.022114, epoch loss=0.176388 Batch=959, step=23760, lr=0.101250, batch loss=0.008385, epoch loss=0.184772 Batch=1019, step=23820, lr=0.101000, batch loss=0.008033, epoch loss=0.192806 Batch=1079, step=23880, lr=0.100750, batch loss=0.000511, epoch loss=0.193317 Batch=1139, step=23940, lr=0.100500, batch loss=0.008923, epoch loss=0.202240 Batch=1199, step=24000, lr=0.100250, batch loss=0.004113, epoch loss=0.206352 Epoch=19, step=24000, lr=0.100250, epoch loss=0.206352 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############****************************************.│ │********######*####*********************************###*###*#***********************************....│ │*******######**##**********************************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########**************************........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######***********.........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*******************........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###*************.............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###*******...............%%%%%%....│ │######**********.................%%%%%%%%%...............****#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%..................*********.................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 14:56.32 ---> saved as "ade2567aa8da34da8e7e3faeae74a45c5541b44d8b96d58e79dc12ff84bdc364" Job succeeded 2025-03-21 14:56.33: Job succeeded