2025-03-22 15:30.21: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (2032408f0ade78c11cab2eb31243ad3db51953f9) (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 2032408f 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 2025-03-22 15:30.21: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e-fedora-40-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-22 15:30.21: 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")) ) 2025-03-22 15:30.21: Waiting for resource in pool OCluster 2025-03-22 15:30.21: Waiting for worker… 2025-03-22 15:30.21: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 2032408f More %cd flexibility: derive projections for `!.` and `!..` (from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e) 2025-03-22 15:30.22 ---> using "1476c452edd56a53215a301540bb2009c8d2a15dba423047d40300e18599671f" from cache /: (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 67 kB/s | 27 kB 00:00 Fedora 40 - x86_64 - Updates 184 kB/s | 24 kB 00:00 Fedora 40 - x86_64 - Updates 4.9 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! 2025-03-22 15:30.22 ---> using "94cbd80bcc330ce623803fbb520a85cab1400e88c96764ea5c2e02cd7e19ad53" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-22 15:30.22 ---> using "3cf8028e21344054f79e658239efeb83a6d7aca5695c51333e87cfafa85482ca" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [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 2025-03-22 15:30.22 ---> using "e8183cd9ba1a23c4d7ddb3cf8b2d2350a9e0a7713ccd1e3ac8d0c1e7fffb4080" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-22 15:30.22 ---> using "e1cd23eff74270a484a5911f8cc469d53dbcdcfafe79312b85310d9254a411b6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-22 15:30.22 ---> using "c4ed4798c67e57846c83ac2aba073c0c9239aa56a5e2c21f39faf8e0638895ed" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..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) 2025-03-22 15:30.22 ---> using "dab772aca77df98414fc328dd4b874f99de8a0ed482ec5e55cda5daf184a72c6" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-22 15:30.22 ---> using "b3c1458d2dffc241e60bbd215faf56a55dcfb986863e21eac7f53a89b40c9287" from cache /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) 2025-03-22 15:30.22 ---> using "bc242b916d36f5a95dd95336431aadab2520d42f08a0a9d7cf798fdf8a85a529" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-22 15:30.22 ---> using "99abe2e5638a7b6021666aebe939dd0066e9cb52eacde91026c9424c3fb52584" from cache /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_64 143 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 185 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: 0:00:16 ago on Sat Mar 22 15:21:04 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 184 kB/s | 28 kB 00:00 - -------------------------------------------------------------------------------- - Total 99 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 2025-03-22 15:30.22 ---> using "fc908412141f84d4618e32af5e50641ccc3c42263dd940e51e569bd85795e2a0" from cache /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 ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> 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_minidebug.2.1.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> 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 ppxlib.0.35.0 (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 ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed 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-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_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) 2025-03-22 15:30.22 ---> using "8a6dc909c2f8092d37652e785545688022c93f063e0b881d32efb3c60109259c" from cache /src: (copy (src .) (dst /src)) 2025-03-22 15:30.22 ---> saved as "282b4f487a2466b7fc6dc5837eb450c831c6ec6e9deb5eaecb98d761a8eddd93" /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/5bc5b05564779f3b6da68984611b2ddb/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/ec0c0ad33e426a3cf5c2d21678c822ff/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689 Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495 Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314 Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518 Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460 Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885 Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660 Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955 Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988 Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087 Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829 Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103 Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725 Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742 Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559 Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762 Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755 Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388 Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988 Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580 Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712 Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101 Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915 Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348 Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075 Batch=839, step=9240, lr=0.161500, batch loss=0.287243, epoch loss=3.376318 Batch=899, step=9300, lr=0.161500, batch loss=0.251018, epoch loss=3.627336 Batch=959, step=9360, lr=0.161250, batch loss=0.190619, epoch loss=3.817955 Batch=1019, step=9420, lr=0.161000, batch loss=0.311600, epoch loss=4.129555 Batch=1079, step=9480, lr=0.160750, batch loss=0.191712, epoch loss=4.321267 Batch=1139, step=9540, lr=0.160500, batch loss=0.215704, epoch loss=4.536971 Batch=1199, step=9600, lr=0.160250, batch loss=0.165614, epoch loss=4.702586 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702586 Batch=59, step=9660, lr=0.160000, batch loss=0.197280, epoch loss=0.197280 Batch=119, step=9720, lr=0.159750, batch loss=0.165423, epoch loss=0.362702 Batch=179, step=9780, lr=0.159500, batch loss=0.179284, epoch loss=0.541986 Batch=239, step=9840, lr=0.159250, batch loss=0.263151, epoch loss=0.805138 Batch=299, step=9900, lr=0.159000, batch loss=0.183117, epoch loss=0.988254 Batch=359, step=9960, lr=0.158750, batch loss=0.239951, epoch loss=1.228205 Batch=419, step=10020, lr=0.158500, batch loss=0.232866, epoch loss=1.461071 Batch=479, step=10080, lr=0.158250, batch loss=0.213259, epoch loss=1.674330 Batch=539, step=10140, lr=0.158000, batch loss=0.170413, epoch loss=1.844743 Batch=599, step=10200, lr=0.157750, batch loss=0.200324, epoch loss=2.045068 Batch=659, step=10260, lr=0.157500, batch loss=0.283011, epoch loss=2.328078 Batch=719, step=10320, lr=0.157250, batch loss=0.279881, epoch loss=2.607960 Batch=779, step=10380, lr=0.157000, batch loss=0.300653, epoch loss=2.908612 Batch=839, step=10440, lr=0.156750, batch loss=0.271122, epoch loss=3.179734 Batch=899, step=10500, lr=0.156500, batch loss=0.239654, epoch loss=3.419388 Batch=959, step=10560, lr=0.156250, batch loss=0.198335, epoch loss=3.617723 Batch=1019, step=10620, lr=0.156000, batch loss=0.293449, epoch loss=3.911173 Batch=1079, step=10680, lr=0.155750, batch loss=0.180074, epoch loss=4.091246 Batch=1139, step=10740, lr=0.155500, batch loss=0.203587, epoch loss=4.294833 Batch=1199, step=10800, lr=0.155250, batch loss=0.154573, epoch loss=4.449406 Epoch=8, step=10800, lr=0.155250, epoch loss=4.449406 Batch=59, step=10860, lr=0.155000, batch loss=0.176631, epoch loss=0.176631 Batch=119, step=10920, lr=0.154750, batch loss=0.146992, epoch loss=0.323623 Batch=179, step=10980, lr=0.154500, batch loss=0.166376, epoch loss=0.489999 Batch=239, step=11040, lr=0.154250, batch loss=0.242148, epoch loss=0.732147 Batch=299, step=11100, lr=0.154000, batch loss=0.168803, epoch loss=0.900950 Batch=359, step=11160, lr=0.153750, batch loss=0.223414, epoch loss=1.124364 Batch=419, step=11220, lr=0.153500, batch loss=0.230530, epoch loss=1.354894 Batch=479, step=11280, lr=0.153250, batch loss=0.201420, epoch loss=1.556314 Batch=539, step=11340, lr=0.153000, batch loss=0.161162, epoch loss=1.717476 Batch=599, step=11400, lr=0.152750, batch loss=0.182297, epoch loss=1.899773 Batch=659, step=11460, lr=0.152500, batch loss=0.262989, epoch loss=2.162762 Batch=719, step=11520, lr=0.152250, batch loss=0.257267, epoch loss=2.420029 Batch=779, step=11580, lr=0.152000, batch loss=0.271762, epoch loss=2.691791 Batch=839, step=11640, lr=0.151750, batch loss=0.256030, epoch loss=2.947821 Batch=899, step=11700, lr=0.151250, batch loss=0.212075, epoch loss=3.159897 Batch=959, step=11760, lr=0.151250, batch loss=0.170665, epoch loss=3.330562 Batch=1019, step=11820, lr=0.151000, batch loss=0.263603, epoch loss=3.594165 Batch=1079, step=11880, lr=0.150750, batch loss=0.153038, epoch loss=3.747202 Batch=1139, step=11940, lr=0.150500, batch loss=0.183614, epoch loss=3.930816 Batch=1199, step=12000, lr=0.150250, batch loss=0.139574, epoch loss=4.070391 Epoch=9, step=12000, lr=0.150250, epoch loss=4.070391 Batch=59, step=12060, lr=0.150000, batch loss=0.158893, epoch loss=0.158893 Batch=119, step=12120, lr=0.149750, batch loss=0.128120, epoch loss=0.287013 Batch=179, step=12180, lr=0.149500, batch loss=0.152135, epoch loss=0.439148 Batch=239, step=12240, lr=0.149250, batch loss=0.221642, epoch loss=0.660790 Batch=299, step=12300, lr=0.149000, batch loss=0.144016, epoch loss=0.804806 Batch=359, step=12360, lr=0.148750, batch loss=0.196082, epoch loss=1.000888 Batch=419, step=12420, lr=0.148500, batch loss=0.205714, epoch loss=1.206602 Batch=479, step=12480, lr=0.148250, batch loss=0.179223, epoch loss=1.385825 Batch=539, step=12540, lr=0.148000, batch loss=0.142065, epoch loss=1.527890 Batch=599, step=12600, lr=0.147750, batch loss=0.150762, epoch loss=1.678651 Batch=659, step=12660, lr=0.147500, batch loss=0.223719, epoch loss=1.902370 Batch=719, step=12720, lr=0.147250, batch loss=0.234971, epoch loss=2.137341 Batch=779, step=12780, lr=0.147000, batch loss=0.251614, epoch loss=2.388954 Batch=839, step=12840, lr=0.146750, batch loss=0.224297, epoch loss=2.613251 Batch=899, step=12900, lr=0.146500, batch loss=0.193525, epoch loss=2.806777 Batch=959, step=12960, lr=0.146250, batch loss=0.159810, epoch loss=2.966587 Batch=1019, step=13020, lr=0.146000, batch loss=0.260577, epoch loss=3.227164 Batch=1079, step=13080, lr=0.145750, batch loss=0.117172, epoch loss=3.344336 Batch=1139, step=13140, lr=0.145500, batch loss=0.160457, epoch loss=3.504792 Batch=1199, step=13200, lr=0.145250, batch loss=0.119266, epoch loss=3.624058 Epoch=10, step=13200, lr=0.145250, epoch loss=3.624058 Batch=59, step=13260, lr=0.145000, batch loss=0.139997, epoch loss=0.139997 Batch=119, step=13320, lr=0.144750, batch loss=0.122210, epoch loss=0.262206 Batch=179, step=13380, lr=0.144500, batch loss=0.128098, epoch loss=0.390305 Batch=239, step=13440, lr=0.144250, batch loss=0.191851, epoch loss=0.582156 Batch=299, step=13500, lr=0.144000, batch loss=0.116787, epoch loss=0.698943 Batch=359, step=13560, lr=0.143750, batch loss=0.163403, epoch loss=0.862346 Batch=419, step=13620, lr=0.143500, batch loss=0.166459, epoch loss=1.028805 Batch=479, step=13680, lr=0.143250, batch loss=0.149364, epoch loss=1.178169 Batch=539, step=13740, lr=0.143000, batch loss=0.116133, epoch loss=1.294302 Batch=599, step=13800, lr=0.142750, batch loss=0.120035, epoch loss=1.414337 Batch=659, step=13860, lr=0.142500, batch loss=0.177663, epoch loss=1.591999 Batch=719, step=13920, lr=0.142250, batch loss=0.172535, epoch loss=1.764534 Batch=779, step=13980, lr=0.142000, batch loss=0.179667, epoch loss=1.944202 Batch=839, step=14040, lr=0.141750, batch loss=0.198385, epoch loss=2.142586 Batch=899, step=14100, lr=0.141500, batch loss=0.216579, epoch loss=2.359165 Batch=959, step=14160, lr=0.141250, batch loss=0.105135, epoch loss=2.464301 Batch=1019, step=14220, lr=0.141000, batch loss=0.193035, epoch loss=2.657336 Batch=1079, step=14280, lr=0.140750, batch loss=0.083936, epoch loss=2.741272 Batch=1139, step=14340, lr=0.140500, batch loss=0.138067, epoch loss=2.879339 Batch=1199, step=14400, lr=0.140250, batch loss=0.087928, epoch loss=2.967268 Epoch=11, step=14400, lr=0.140250, epoch loss=2.967268 Batch=59, step=14460, lr=0.140000, batch loss=0.102471, epoch loss=0.102471 Batch=119, step=14520, lr=0.139750, batch loss=0.099038, epoch loss=0.201509 Batch=179, step=14580, lr=0.139500, batch loss=0.099748, epoch loss=0.301257 Batch=239, step=14640, lr=0.139250, batch loss=0.142628, epoch loss=0.443885 Batch=299, step=14700, lr=0.139000, batch loss=0.073489, epoch loss=0.517375 Batch=359, step=14760, lr=0.138750, batch loss=0.122861, epoch loss=0.640235 Batch=419, step=14820, lr=0.138500, batch loss=0.131940, epoch loss=0.772175 Batch=479, step=14880, lr=0.138250, batch loss=0.098260, epoch loss=0.870435 Batch=539, step=14940, lr=0.138000, batch loss=0.101285, epoch loss=0.971720 Batch=599, step=15000, lr=0.137750, batch loss=0.083366, epoch loss=1.055086 Batch=659, step=15060, lr=0.137500, batch loss=0.127549, epoch loss=1.182634 Batch=719, step=15120, lr=0.137250, batch loss=0.132570, epoch loss=1.315204 Batch=779, step=15180, lr=0.137000, batch loss=0.180458, epoch loss=1.495662 Batch=839, step=15240, lr=0.136750, batch loss=0.186167, epoch loss=1.681829 Batch=899, step=15300, lr=0.136500, batch loss=0.303914, epoch loss=1.985743 Batch=959, step=15360, lr=0.136250, batch loss=0.055095, epoch loss=2.040839 Batch=1019, step=15420, lr=0.136000, batch loss=0.120277, epoch loss=2.161116 Batch=1079, step=15480, lr=0.135750, batch loss=0.059258, epoch loss=2.220374 Batch=1139, step=15540, lr=0.135500, batch loss=0.100424, epoch loss=2.320798 Batch=1199, step=15600, lr=0.135250, batch loss=0.063958, epoch loss=2.384756 Epoch=12, step=15600, lr=0.135250, epoch loss=2.384756 Batch=59, step=15660, lr=0.135000, batch loss=0.078030, epoch loss=0.078030 Batch=119, step=15720, lr=0.134750, batch loss=0.099929, epoch loss=0.177959 Batch=179, step=15780, lr=0.134500, batch loss=0.089027, epoch loss=0.266986 Batch=239, step=15840, lr=0.134250, batch loss=0.093363, epoch loss=0.360349 Batch=299, step=15900, lr=0.134000, batch loss=0.040026, epoch loss=0.400374 Batch=359, step=15960, lr=0.133750, batch loss=0.078247, epoch loss=0.478621 Batch=419, step=16020, lr=0.133500, batch loss=0.079121, epoch loss=0.557742 Batch=479, step=16080, lr=0.133250, batch loss=0.064295, epoch loss=0.622038 Batch=539, step=16140, lr=0.133000, batch loss=0.057691, epoch loss=0.679729 Batch=599, step=16200, lr=0.132750, batch loss=0.113282, epoch loss=0.793010 Batch=659, step=16260, lr=0.132500, batch loss=0.080376, epoch loss=0.873386 Batch=719, step=16320, lr=0.132250, batch loss=0.131237, epoch loss=1.004623 Batch=779, step=16380, lr=0.132000, batch loss=0.328837, epoch loss=1.333460 Batch=839, step=16440, lr=0.131750, batch loss=0.094450, epoch loss=1.427910 Batch=899, step=16500, lr=0.131500, batch loss=0.081109, epoch loss=1.509018 Batch=959, step=16560, lr=0.131250, batch loss=0.031896, epoch loss=1.540914 Batch=1019, step=16620, lr=0.131000, batch loss=0.065835, epoch loss=1.606749 Batch=1079, step=16680, lr=0.130750, batch loss=0.052778, epoch loss=1.659527 Batch=1139, step=16740, lr=0.130500, batch loss=0.090561, epoch loss=1.750088 Batch=1199, step=16800, lr=0.130250, batch loss=0.042284, epoch loss=1.792372 Epoch=13, step=16800, lr=0.130250, epoch loss=1.792372 Batch=59, step=16860, lr=0.130000, batch loss=0.036556, epoch loss=0.036556 Batch=119, step=16920, lr=0.129750, batch loss=0.037142, epoch loss=0.073697 Batch=179, step=16980, lr=0.129500, batch loss=0.043909, epoch loss=0.117607 Batch=239, step=17040, lr=0.129250, batch loss=0.062269, epoch loss=0.179876 Batch=299, step=17100, lr=0.129000, batch loss=0.030288, epoch loss=0.210164 Batch=359, step=17160, lr=0.128750, batch loss=0.046284, epoch loss=0.256448 Batch=419, step=17220, lr=0.128500, batch loss=0.067373, epoch loss=0.323821 Batch=479, step=17280, lr=0.128250, batch loss=0.022696, epoch loss=0.346517 Batch=539, step=17340, lr=0.128000, batch loss=0.028099, epoch loss=0.374616 Batch=599, step=17400, lr=0.127750, batch loss=0.037376, epoch loss=0.411992 Batch=659, step=17460, lr=0.127500, batch loss=0.062432, epoch loss=0.474424 Batch=719, step=17520, lr=0.127250, batch loss=0.111317, epoch loss=0.585741 Batch=779, step=17580, lr=0.127000, batch loss=0.054856, epoch loss=0.640597 Batch=839, step=17640, lr=0.126750, batch loss=0.098554, epoch loss=0.739151 Batch=899, step=17700, lr=0.126500, batch loss=0.049790, epoch loss=0.788940 Batch=959, step=17760, lr=0.126250, batch loss=0.018947, epoch loss=0.807887 Batch=1019, step=17820, lr=0.126000, batch loss=0.050072, epoch loss=0.857959 Batch=1079, step=17880, lr=0.125750, batch loss=0.052670, epoch loss=0.910629 Batch=1139, step=17940, lr=0.125500, batch loss=0.102508, epoch loss=1.013138 Batch=1199, step=18000, lr=0.125250, batch loss=0.026484, epoch loss=1.039622 Epoch=14, step=18000, lr=0.125250, epoch loss=1.039622 Batch=59, step=18060, lr=0.125000, batch loss=0.019348, epoch loss=0.019348 Batch=119, step=18120, lr=0.124750, batch loss=0.022473, epoch loss=0.041821 Batch=179, step=18180, lr=0.124500, batch loss=0.040177, epoch loss=0.081998 Batch=239, step=18240, lr=0.124250, batch loss=0.043046, epoch loss=0.125044 Batch=299, step=18300, lr=0.124000, batch loss=0.010426, epoch loss=0.135470 Batch=359, step=18360, lr=0.123750, batch loss=0.027743, epoch loss=0.163213 Batch=419, step=18420, lr=0.123500, batch loss=0.030830, epoch loss=0.194044 Batch=479, step=18480, lr=0.123250, batch loss=0.017553, epoch loss=0.211597 Batch=539, step=18540, lr=0.123000, batch loss=0.027681, epoch loss=0.239278 Batch=599, step=18600, lr=0.122750, batch loss=0.027393, epoch loss=0.266672 Batch=659, step=18660, lr=0.122500, batch loss=0.029599, epoch loss=0.296270 Batch=719, step=18720, lr=0.122250, batch loss=0.050638, epoch loss=0.346908 Batch=779, step=18780, lr=0.122000, batch loss=0.103199, epoch loss=0.450107 Batch=839, step=18840, lr=0.121750, batch loss=0.056028, epoch loss=0.506135 Batch=899, step=18900, lr=0.121500, batch loss=0.068014, epoch loss=0.574149 Batch=959, step=18960, lr=0.121250, batch loss=0.013636, epoch loss=0.587785 Batch=1019, step=19020, lr=0.121000, batch loss=0.019250, epoch loss=0.607036 Batch=1079, step=19080, lr=0.120750, batch loss=0.012425, epoch loss=0.619460 Batch=1139, step=19140, lr=0.120500, batch loss=0.030303, epoch loss=0.649763 Batch=1199, step=19200, lr=0.120250, batch loss=0.012265, epoch loss=0.662028 Epoch=15, step=19200, lr=0.120250, epoch loss=0.662028 Batch=59, step=19260, lr=0.120000, batch loss=0.010538, epoch loss=0.010538 Batch=119, step=19320, lr=0.119750, batch loss=0.025036, epoch loss=0.035574 Batch=179, step=19380, lr=0.119500, batch loss=0.070038, epoch loss=0.105612 Batch=239, step=19440, lr=0.119250, batch loss=0.028786, epoch loss=0.134397 Batch=299, step=19500, lr=0.119000, batch loss=0.009612, epoch loss=0.144010 Batch=359, step=19560, lr=0.118750, batch loss=0.024857, epoch loss=0.168866 Batch=419, step=19620, lr=0.118500, batch loss=0.020903, epoch loss=0.189769 Batch=479, step=19680, lr=0.118250, batch loss=0.007557, epoch loss=0.197326 Batch=539, step=19740, lr=0.118000, batch loss=0.017780, epoch loss=0.215106 Batch=599, step=19800, lr=0.117750, batch loss=0.023652, epoch loss=0.238758 Batch=659, step=19860, lr=0.117500, batch loss=0.019848, epoch loss=0.258606 Batch=719, step=19920, lr=0.117250, batch loss=0.054832, epoch loss=0.313438 Batch=779, step=19980, lr=0.117000, batch loss=0.082313, epoch loss=0.395751 Batch=839, step=20040, lr=0.116750, batch loss=0.031401, epoch loss=0.427152 Batch=899, step=20100, lr=0.116500, batch loss=0.032149, epoch loss=0.459302 Batch=959, step=20160, lr=0.116250, batch loss=0.011057, epoch loss=0.470359 Batch=1019, step=20220, lr=0.116000, batch loss=0.012508, epoch loss=0.482866 Batch=1079, step=20280, lr=0.115750, batch loss=0.004085, epoch loss=0.486951 Batch=1139, step=20340, lr=0.115500, batch loss=0.016933, epoch loss=0.503885 Batch=1199, step=20400, lr=0.115250, batch loss=0.006662, epoch loss=0.510546 Epoch=16, step=20400, lr=0.115250, epoch loss=0.510546 Batch=59, step=20460, lr=0.115000, batch loss=0.003490, epoch loss=0.003490 Batch=119, step=20520, lr=0.114750, batch loss=0.008556, epoch loss=0.012046 Batch=179, step=20580, lr=0.114500, batch loss=0.015390, epoch loss=0.027436 Batch=239, step=20640, lr=0.114250, batch loss=0.013135, epoch loss=0.040571 Batch=299, step=20700, lr=0.114000, batch loss=0.005028, epoch loss=0.045599 Batch=359, step=20760, lr=0.113750, batch loss=0.015600, epoch loss=0.061199 Batch=419, step=20820, lr=0.113500, batch loss=0.015203, epoch loss=0.076402 Batch=479, step=20880, lr=0.113250, batch loss=0.004294, epoch loss=0.080697 Batch=539, step=20940, lr=0.113000, batch loss=0.023759, epoch loss=0.104455 Batch=599, step=21000, lr=0.112750, batch loss=0.023519, epoch loss=0.127974 Batch=659, step=21060, lr=0.112500, batch loss=0.014997, epoch loss=0.142972 Batch=719, step=21120, lr=0.112250, batch loss=0.039566, epoch loss=0.182537 Batch=779, step=21180, lr=0.112000, batch loss=0.074276, epoch loss=0.256814 Batch=839, step=21240, lr=0.111750, batch loss=0.027222, epoch loss=0.284036 Batch=899, step=21300, lr=0.111500, batch loss=0.035071, epoch loss=0.319107 Batch=959, step=21360, lr=0.111250, batch loss=0.009990, epoch loss=0.329097 Batch=1019, step=21420, lr=0.111000, batch loss=0.011842, epoch loss=0.340939 Batch=1079, step=21480, lr=0.110750, batch loss=0.000703, epoch loss=0.341642 Batch=1139, step=21540, lr=0.110500, batch loss=0.013591, epoch loss=0.355233 Batch=1199, step=21600, lr=0.110250, batch loss=0.005501, epoch loss=0.360734 Epoch=17, step=21600, lr=0.110250, epoch loss=0.360734 Batch=59, step=21660, lr=0.110000, batch loss=0.002590, epoch loss=0.002590 Batch=119, step=21720, lr=0.109750, batch loss=0.006643, epoch loss=0.009234 Batch=179, step=21780, lr=0.109500, batch loss=0.012777, epoch loss=0.022011 Batch=239, step=21840, lr=0.109250, batch loss=0.009347, epoch loss=0.031358 Batch=299, step=21900, lr=0.109000, batch loss=0.003264, epoch loss=0.034622 Batch=359, step=21960, lr=0.108750, batch loss=0.015439, epoch loss=0.050061 Batch=419, step=22020, lr=0.108500, batch loss=0.012397, epoch loss=0.062458 Batch=479, step=22080, lr=0.108250, batch loss=0.002841, epoch loss=0.065299 Batch=539, step=22140, lr=0.108000, batch loss=0.018027, epoch loss=0.083325 Batch=599, step=22200, lr=0.107750, batch loss=0.017371, epoch loss=0.100696 Batch=659, step=22260, lr=0.107500, batch loss=0.015660, epoch loss=0.116356 Batch=719, step=22320, lr=0.107250, batch loss=0.023032, epoch loss=0.139388 Batch=779, step=22380, lr=0.107000, batch loss=0.028603, epoch loss=0.167991 Batch=839, step=22440, lr=0.106750, batch loss=0.029480, epoch loss=0.197471 Batch=899, step=22500, lr=0.106500, batch loss=0.023282, epoch loss=0.220752 Batch=959, step=22560, lr=0.106250, batch loss=0.010873, epoch loss=0.231625 Batch=1019, step=22620, lr=0.106000, batch loss=0.009616, epoch loss=0.241241 Batch=1079, step=22680, lr=0.105750, batch loss=0.002443, epoch loss=0.243685 Batch=1139, step=22740, lr=0.105500, batch loss=0.010389, epoch loss=0.254073 Batch=1199, step=22800, lr=0.105250, batch loss=0.005329, epoch loss=0.259402 Epoch=18, step=22800, lr=0.105250, epoch loss=0.259402 Batch=59, step=22860, lr=0.105000, batch loss=0.002711, epoch loss=0.002711 Batch=119, step=22920, lr=0.104750, batch loss=0.004596, epoch loss=0.007307 Batch=179, step=22980, lr=0.104500, batch loss=0.012652, epoch loss=0.019958 Batch=239, step=23040, lr=0.104250, batch loss=0.008760, epoch loss=0.028719 Batch=299, step=23100, lr=0.104000, batch loss=0.003757, epoch loss=0.032476 Batch=359, step=23160, lr=0.103750, batch loss=0.012280, epoch loss=0.044756 Batch=419, step=23220, lr=0.103500, batch loss=0.011646, epoch loss=0.056402 Batch=479, step=23280, lr=0.103250, batch loss=0.002369, epoch loss=0.058771 Batch=539, step=23340, lr=0.103000, batch loss=0.018137, epoch loss=0.076908 Batch=599, step=23400, lr=0.102750, batch loss=0.015082, epoch loss=0.091990 Batch=659, step=23460, lr=0.102500, batch loss=0.012882, epoch loss=0.104872 Batch=719, step=23520, lr=0.102250, batch loss=0.015850, epoch loss=0.120722 Batch=779, step=23580, lr=0.102000, batch loss=0.021018, epoch loss=0.141740 Batch=839, step=23640, lr=0.101750, batch loss=0.024445, epoch loss=0.166186 Batch=899, step=23700, lr=0.101500, batch loss=0.022725, epoch loss=0.188911 Batch=959, step=23760, lr=0.101250, batch loss=0.008308, epoch loss=0.197218 Batch=1019, step=23820, lr=0.101000, batch loss=0.008423, epoch loss=0.205642 Batch=1079, step=23880, lr=0.100750, batch loss=0.000933, epoch loss=0.206574 Batch=1139, step=23940, lr=0.100500, batch loss=0.009398, epoch loss=0.215972 Batch=1199, step=24000, lr=0.100250, batch loss=0.004484, epoch loss=0.220457 Epoch=19, step=24000, lr=0.100250, epoch loss=0.220457 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%.........**************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-22 15:30.47 ---> saved as "fe9ec4e305143c4ecd77aa53c373194d3524f355480cfe01bc63cd75fd2f3f4a" Job succeeded 2025-03-22 15:30.49: Job succeeded