2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (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 451f36ee 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 2025-03-20 22:51.40: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e-fedora-40-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 22:51.40: 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")) ) 2025-03-20 22:51.40: Waiting for resource in pool OCluster 2025-03-20 22:51.40: Waiting for worker… 2025-03-20 22:52.21: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings (from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e) 2025-03-20 22:52.21 ---> 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 87 kB/s | 27 kB 00:00 Fedora 40 - x86_64 - Updates 181 kB/s | 23 kB 00:00 Fedora 40 - x86_64 - Updates 4.0 MB/s | 5.7 MB 00:01 Package findutils-1:4.9.0-9.fc40.x86_64 is already installed. Dependencies resolved. Nothing to do. Complete! 2025-03-20 22:52.21 ---> using "94cbd80bcc330ce623803fbb520a85cab1400e88c96764ea5c2e02cd7e19ad53" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-20 22:52.21 ---> 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. Continue? [y/n] y 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. Format upgrade done. [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 <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 22:52.21 ---> 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 2025-03-20 22:52.21 ---> using "e1cd23eff74270a484a5911f8cc469d53dbcdcfafe79312b85310d9254a411b6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:52.21 ---> 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..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:52.21 ---> using "dab772aca77df98414fc328dd4b874f99de8a0ed482ec5e55cda5daf184a72c6" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:52.21 ---> 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) 2025-03-20 22:52.21 ---> using "bc242b916d36f5a95dd95336431aadab2520d42f08a0a9d7cf798fdf8a85a529" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:52.21 ---> 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_64 108 kB/s | 27 kB 00:00 - Fedora 40 openh264 (From Cisco) - x86_64 9.8 kB/s | 989 B 00:00 - Fedora 40 - x86_64 - Updates 179 kB/s | 23 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: 0:00:18 ago on Thu Mar 20 22:31:45 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 280 kB/s | 28 kB 00:00 - -------------------------------------------------------------------------------- - Total 122 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 2025-03-20 22:52.21 ---> 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 ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> 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_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (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_minidebug.2.1.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved 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 ppxlib.0.35.0 (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 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) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (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 printbox.0.12 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed sexplib0.v0.17.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed 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) 2025-03-20 22:52.21 ---> using "8a6dc909c2f8092d37652e785545688022c93f063e0b881d32efb3c60109259c" from cache /src: (copy (src .) (dst /src)) 2025-03-20 22:52.22 ---> saved as "87dcd6c7e344fc9b538d0a9818118525ac94778e55460342d72702d3abaed556" /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/6cdde0746313b6e8b524dcda3ecb5337/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/c054d0dfe7667c0697653ee0fde07da0/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/6cdde0746313b6e8b524dcda3ecb5337/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6cdde0746313b6e8b524dcda3ecb5337/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/6cdde0746313b6e8b524dcda3ecb5337/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6cdde0746313b6e8b524dcda3ecb5337/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/6cdde0746313b6e8b524dcda3ecb5337/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6cdde0746313b6e8b524dcda3ecb5337/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/6cdde0746313b6e8b524dcda3ecb5337/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6cdde0746313b6e8b524dcda3ecb5337/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/6cdde0746313b6e8b524dcda3ecb5337/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6cdde0746313b6e8b524dcda3ecb5337/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/6cdde0746313b6e8b524dcda3ecb5337/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6cdde0746313b6e8b524dcda3ecb5337/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/6cdde0746313b6e8b524dcda3ecb5337/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6cdde0746313b6e8b524dcda3ecb5337/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/6cdde0746313b6e8b524dcda3ecb5337/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6cdde0746313b6e8b524dcda3ecb5337/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/6cdde0746313b6e8b524dcda3ecb5337/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/6cdde0746313b6e8b524dcda3ecb5337/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/6cdde0746313b6e8b524dcda3ecb5337/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=0.161750, batch loss=0.287243, epoch loss=3.376318 Batch=899, step=9300, lr=0.161500, batch loss=0.251060, epoch loss=3.627378 Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817911 Batch=1019, step=9420, lr=0.161000, batch loss=0.311728, epoch loss=4.129639 Batch=1079, step=9480, lr=0.160750, batch loss=0.191595, epoch loss=4.321234 Batch=1139, step=9540, lr=0.160500, batch loss=0.215772, epoch loss=4.537006 Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702626 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702626 Batch=59, step=9660, lr=0.160000, batch loss=0.197217, epoch loss=0.197217 Batch=119, step=9720, lr=0.159750, batch loss=0.165467, epoch loss=0.362684 Batch=179, step=9780, lr=0.159500, batch loss=0.179286, epoch loss=0.541970 Batch=239, step=9840, lr=0.159250, batch loss=0.263837, epoch loss=0.805807 Batch=299, step=9900, lr=0.159000, batch loss=0.182187, epoch loss=0.987994 Batch=359, step=9960, lr=0.158750, batch loss=0.240842, epoch loss=1.228836 Batch=419, step=10020, lr=0.158500, batch loss=0.232979, epoch loss=1.461815 Batch=479, step=10080, lr=0.158250, batch loss=0.213194, epoch loss=1.675009 Batch=539, step=10140, lr=0.158000, batch loss=0.170694, epoch loss=1.845703 Batch=599, step=10200, lr=0.157750, batch loss=0.200247, epoch loss=2.045950 Batch=659, step=10260, lr=0.157500, batch loss=0.283032, epoch loss=2.328982 Batch=719, step=10320, lr=0.157250, batch loss=0.288754, epoch loss=2.617735 Batch=779, step=10380, lr=0.157000, batch loss=0.296880, epoch loss=2.914615 Batch=839, step=10440, lr=0.156750, batch loss=0.267657, epoch loss=3.182272 Batch=899, step=10500, lr=0.156500, batch loss=0.242699, epoch loss=3.424972 Batch=959, step=10560, lr=0.156250, batch loss=0.198668, epoch loss=3.623639 Batch=1019, step=10620, lr=0.156000, batch loss=0.295119, epoch loss=3.918758 Batch=1079, step=10680, lr=0.155750, batch loss=0.178662, epoch loss=4.097421 Batch=1139, step=10740, lr=0.155500, batch loss=0.205425, epoch loss=4.302846 Batch=1199, step=10800, lr=0.155250, batch loss=0.156138, epoch loss=4.458984 Epoch=8, step=10800, lr=0.155250, epoch loss=4.458984 Batch=59, step=10860, lr=0.155000, batch loss=0.177430, epoch loss=0.177430 Batch=119, step=10920, lr=0.154750, batch loss=0.152366, epoch loss=0.329795 Batch=179, step=10980, lr=0.154500, batch loss=0.167114, epoch loss=0.496909 Batch=239, step=11040, lr=0.154250, batch loss=0.242622, epoch loss=0.739531 Batch=299, step=11100, lr=0.154000, batch loss=0.169984, epoch loss=0.909515 Batch=359, step=11160, lr=0.153750, batch loss=0.222140, epoch loss=1.131654 Batch=419, step=11220, lr=0.153500, batch loss=0.229250, epoch loss=1.360905 Batch=479, step=11280, lr=0.153250, batch loss=0.202871, epoch loss=1.563775 Batch=539, step=11340, lr=0.153000, batch loss=0.159118, epoch loss=1.722894 Batch=599, step=11400, lr=0.152750, batch loss=0.178498, epoch loss=1.901392 Batch=659, step=11460, lr=0.152500, batch loss=0.264724, epoch loss=2.166116 Batch=719, step=11520, lr=0.152250, batch loss=0.256959, epoch loss=2.423075 Batch=779, step=11580, lr=0.152000, batch loss=0.273281, epoch loss=2.696355 Batch=839, step=11640, lr=0.151750, batch loss=0.255783, epoch loss=2.952138 Batch=899, step=11700, lr=0.151500, batch loss=0.212942, epoch loss=3.165080 Batch=959, step=11760, lr=0.151250, batch loss=0.168195, epoch loss=3.333275 Batch=1019, step=11820, lr=0.151000, batch loss=0.266032, epoch loss=3.599307 Batch=1079, step=11880, lr=0.150750, batch loss=0.149776, epoch loss=3.749083 Batch=1139, step=11940, lr=0.150500, batch loss=0.185522, epoch loss=3.934605 Batch=1199, step=12000, lr=0.150250, batch loss=0.139483, epoch loss=4.074088 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074088 Batch=59, step=12060, lr=0.150000, batch loss=0.158027, epoch loss=0.158027 Batch=119, step=12120, lr=0.149750, batch loss=0.128834, epoch loss=0.286861 Batch=179, step=12180, lr=0.149500, batch loss=0.150389, epoch loss=0.437250 Batch=239, step=12240, lr=0.149250, batch loss=0.223284, epoch loss=0.660534 Batch=299, step=12300, lr=0.149000, batch loss=0.142595, epoch loss=0.803130 Batch=359, step=12360, lr=0.148750, batch loss=0.195474, epoch loss=0.998603 Batch=419, step=12420, lr=0.148500, batch loss=0.206189, epoch loss=1.204793 Batch=479, step=12480, lr=0.148250, batch loss=0.178781, epoch loss=1.383574 Batch=539, step=12540, lr=0.148000, batch loss=0.142576, epoch loss=1.526150 Batch=599, step=12600, lr=0.147750, batch loss=0.150450, epoch loss=1.676600 Batch=659, step=12660, lr=0.147500, batch loss=0.224849, epoch loss=1.901449 Batch=719, step=12720, lr=0.147250, batch loss=0.235381, epoch loss=2.136830 Batch=779, step=12780, lr=0.147000, batch loss=0.252610, epoch loss=2.389441 Batch=839, step=12840, lr=0.146750, batch loss=0.225004, epoch loss=2.614445 Batch=899, step=12900, lr=0.146500, batch loss=0.185276, epoch loss=2.799721 Batch=959, step=12960, lr=0.146250, batch loss=0.149057, epoch loss=2.948777 Batch=1019, step=13020, lr=0.146000, batch loss=0.267918, epoch loss=3.216695 Batch=1079, step=13080, lr=0.145750, batch loss=0.115425, epoch loss=3.332120 Batch=1139, step=13140, lr=0.145500, batch loss=0.155344, epoch loss=3.487464 Batch=1199, step=13200, lr=0.145250, batch loss=0.118495, epoch loss=3.605959 Epoch=10, step=13200, lr=0.145250, epoch loss=3.605959 Batch=59, step=13260, lr=0.145000, batch loss=0.143436, epoch loss=0.143436 Batch=119, step=13320, lr=0.144750, batch loss=0.119649, epoch loss=0.263085 Batch=179, step=13380, lr=0.144500, batch loss=0.127185, epoch loss=0.390270 Batch=239, step=13440, lr=0.144250, batch loss=0.186827, epoch loss=0.577097 Batch=299, step=13500, lr=0.144000, batch loss=0.112687, epoch loss=0.689784 Batch=359, step=13560, lr=0.143750, batch loss=0.161652, epoch loss=0.851436 Batch=419, step=13620, lr=0.143500, batch loss=0.160664, epoch loss=1.012101 Batch=479, step=13680, lr=0.143000, batch loss=0.147468, epoch loss=1.159569 Batch=539, step=13740, lr=0.143000, batch loss=0.118006, epoch loss=1.277574 Batch=599, step=13800, lr=0.142750, batch loss=0.120082, epoch loss=1.397657 Batch=659, step=13860, lr=0.142500, batch loss=0.175805, epoch loss=1.573462 Batch=719, step=13920, lr=0.142250, batch loss=0.172407, epoch loss=1.745868 Batch=779, step=13980, lr=0.142000, batch loss=0.188080, epoch loss=1.933948 Batch=839, step=14040, lr=0.141750, batch loss=0.194261, epoch loss=2.128209 Batch=899, step=14100, lr=0.141500, batch loss=0.208121, epoch loss=2.336330 Batch=959, step=14160, lr=0.141250, batch loss=0.110427, epoch loss=2.446757 Batch=1019, step=14220, lr=0.141000, batch loss=0.197925, epoch loss=2.644682 Batch=1079, step=14280, lr=0.140750, batch loss=0.080261, epoch loss=2.724943 Batch=1139, step=14340, lr=0.140500, batch loss=0.127445, epoch loss=2.852388 Batch=1199, step=14400, lr=0.140250, batch loss=0.087061, epoch loss=2.939449 Epoch=11, step=14400, lr=0.140250, epoch loss=2.939449 Batch=59, step=14460, lr=0.140000, batch loss=0.102176, epoch loss=0.102176 Batch=119, step=14520, lr=0.139750, batch loss=0.100482, epoch loss=0.202657 Batch=179, step=14580, lr=0.139500, batch loss=0.098394, epoch loss=0.301052 Batch=239, step=14640, lr=0.139250, batch loss=0.142603, epoch loss=0.443654 Batch=299, step=14700, lr=0.139000, batch loss=0.087915, epoch loss=0.531569 Batch=359, step=14760, lr=0.138750, batch loss=0.147281, epoch loss=0.678850 Batch=419, step=14820, lr=0.138500, batch loss=0.209541, epoch loss=0.888392 Batch=479, step=14880, lr=0.138250, batch loss=0.090663, epoch loss=0.979054 Batch=539, step=14940, lr=0.138000, batch loss=0.073459, epoch loss=1.052514 Batch=599, step=15000, lr=0.137750, batch loss=0.099889, epoch loss=1.152402 Batch=659, step=15060, lr=0.137500, batch loss=0.129192, epoch loss=1.281594 Batch=719, step=15120, lr=0.137000, batch loss=0.129724, epoch loss=1.411318 Batch=779, step=15180, lr=0.136750, batch loss=0.152398, epoch loss=1.563716 Batch=839, step=15240, lr=0.136500, batch loss=0.146010, epoch loss=1.709726 Batch=899, step=15300, lr=0.136250, batch loss=0.140892, epoch loss=1.850618 Batch=959, step=15360, lr=0.136000, batch loss=0.099190, epoch loss=1.949808 Batch=1019, step=15420, lr=0.136000, batch loss=0.194306, epoch loss=2.144114 Batch=1079, step=15480, lr=0.135750, batch loss=0.036182, epoch loss=2.180296 Batch=1139, step=15540, lr=0.135500, batch loss=0.088932, epoch loss=2.269229 Batch=1199, step=15600, lr=0.135250, batch loss=0.055047, epoch loss=2.324276 Epoch=12, step=15600, lr=0.135250, epoch loss=2.324276 Batch=59, step=15660, lr=0.135000, batch loss=0.086387, epoch loss=0.086387 Batch=119, step=15720, lr=0.134750, batch loss=0.149372, epoch loss=0.235758 Batch=179, step=15780, lr=0.134500, batch loss=0.100394, epoch loss=0.336153 Batch=239, step=15840, lr=0.134250, batch loss=0.097794, epoch loss=0.433946 Batch=299, step=15900, lr=0.134000, batch loss=0.043187, epoch loss=0.477133 Batch=359, step=15960, lr=0.133750, batch loss=0.080438, epoch loss=0.557571 Batch=419, step=16020, lr=0.133500, batch loss=0.079991, epoch loss=0.637562 Batch=479, step=16080, lr=0.133250, batch loss=0.067303, epoch loss=0.704865 Batch=539, step=16140, lr=0.133000, batch loss=0.054384, epoch loss=0.759249 Batch=599, step=16200, lr=0.132750, batch loss=0.102929, epoch loss=0.862178 Batch=659, step=16260, lr=0.132500, batch loss=0.076784, epoch loss=0.938962 Batch=719, step=16320, lr=0.132250, batch loss=0.085328, epoch loss=1.024291 Batch=779, step=16380, lr=0.132000, batch loss=0.111997, epoch loss=1.136287 Batch=839, step=16440, lr=0.131750, batch loss=0.111057, epoch loss=1.247344 Batch=899, step=16500, lr=0.131500, batch loss=0.143126, epoch loss=1.390470 Batch=959, step=16560, lr=0.131250, batch loss=0.044936, epoch loss=1.435406 Batch=1019, step=16620, lr=0.131000, batch loss=0.099602, epoch loss=1.535008 Batch=1079, step=16680, lr=0.130750, batch loss=0.029757, epoch loss=1.564765 Batch=1139, step=16740, lr=0.130500, batch loss=0.064193, epoch loss=1.628958 Batch=1199, step=16800, lr=0.130250, batch loss=0.030229, epoch loss=1.659187 Epoch=13, step=16800, lr=0.130250, epoch loss=1.659187 Batch=59, step=16860, lr=0.130000, batch loss=0.031430, epoch loss=0.031430 Batch=119, step=16920, lr=0.129750, batch loss=0.035718, epoch loss=0.067148 Batch=179, step=16980, lr=0.129500, batch loss=0.041107, epoch loss=0.108254 Batch=239, step=17040, lr=0.129250, batch loss=0.054984, epoch loss=0.163238 Batch=299, step=17100, lr=0.129000, batch loss=0.022319, epoch loss=0.185557 Batch=359, step=17160, lr=0.128750, batch loss=0.048415, epoch loss=0.233971 Batch=419, step=17220, lr=0.128500, batch loss=0.096162, epoch loss=0.330134 Batch=479, step=17280, lr=0.128250, batch loss=0.022406, epoch loss=0.352540 Batch=539, step=17340, lr=0.128000, batch loss=0.028367, epoch loss=0.380907 Batch=599, step=17400, lr=0.127750, batch loss=0.037385, epoch loss=0.418292 Batch=659, step=17460, lr=0.127500, batch loss=0.058003, epoch loss=0.476295 Batch=719, step=17520, lr=0.127250, batch loss=0.087638, epoch loss=0.563933 Batch=779, step=17580, lr=0.127000, batch loss=0.069457, epoch loss=0.633390 Batch=839, step=17640, lr=0.126750, batch loss=0.101627, epoch loss=0.735017 Batch=899, step=17700, lr=0.126500, batch loss=0.047962, epoch loss=0.782979 Batch=959, step=17760, lr=0.126250, batch loss=0.018143, epoch loss=0.801122 Batch=1019, step=17820, lr=0.126000, batch loss=0.047369, epoch loss=0.848491 Batch=1079, step=17880, lr=0.125750, batch loss=0.033510, epoch loss=0.882001 Batch=1139, step=17940, lr=0.125500, batch loss=0.077241, epoch loss=0.959242 Batch=1199, step=18000, lr=0.125250, batch loss=0.023385, epoch loss=0.982627 Epoch=14, step=18000, lr=0.125250, epoch loss=0.982627 Batch=59, step=18060, lr=0.125000, batch loss=0.016174, epoch loss=0.016174 Batch=119, step=18120, lr=0.124750, batch loss=0.019759, epoch loss=0.035932 Batch=179, step=18180, lr=0.124500, batch loss=0.029098, epoch loss=0.065030 Batch=239, step=18240, lr=0.124250, batch loss=0.041229, epoch loss=0.106259 Batch=299, step=18300, lr=0.124000, batch loss=0.016869, epoch loss=0.123128 Batch=359, step=18360, lr=0.123750, batch loss=0.024860, epoch loss=0.147987 Batch=419, step=18420, lr=0.123500, batch loss=0.030755, epoch loss=0.178742 Batch=479, step=18480, lr=0.123250, batch loss=0.016874, epoch loss=0.195616 Batch=539, step=18540, lr=0.123000, batch loss=0.026521, epoch loss=0.222137 Batch=599, step=18600, lr=0.122750, batch loss=0.026233, epoch loss=0.248369 Batch=659, step=18660, lr=0.122500, batch loss=0.029659, epoch loss=0.278029 Batch=719, step=18720, lr=0.122250, batch loss=0.033329, epoch loss=0.311357 Batch=779, step=18780, lr=0.122000, batch loss=0.077986, epoch loss=0.389344 Batch=839, step=18840, lr=0.121750, batch loss=0.051046, epoch loss=0.440390 Batch=899, step=18900, lr=0.121500, batch loss=0.048727, epoch loss=0.489117 Batch=959, step=18960, lr=0.121250, batch loss=0.015832, epoch loss=0.504949 Batch=1019, step=19020, lr=0.121000, batch loss=0.028470, epoch loss=0.533419 Batch=1079, step=19080, lr=0.120750, batch loss=0.012083, epoch loss=0.545502 Batch=1139, step=19140, lr=0.120500, batch loss=0.023033, epoch loss=0.568535 Batch=1199, step=19200, lr=0.120250, batch loss=0.009920, epoch loss=0.578455 Epoch=15, step=19200, lr=0.120250, epoch loss=0.578455 Batch=59, step=19260, lr=0.120000, batch loss=0.005149, epoch loss=0.005149 Batch=119, step=19320, lr=0.119750, batch loss=0.021009, epoch loss=0.026158 Batch=179, step=19380, lr=0.119500, batch loss=0.054316, epoch loss=0.080474 Batch=239, step=19440, lr=0.119250, batch loss=0.022001, epoch loss=0.102474 Batch=299, step=19500, lr=0.119000, batch loss=0.021426, epoch loss=0.123901 Batch=359, step=19560, lr=0.118750, batch loss=0.032590, epoch loss=0.156490 Batch=419, step=19620, lr=0.118500, batch loss=0.020547, epoch loss=0.177038 Batch=479, step=19680, lr=0.118250, batch loss=0.006761, epoch loss=0.183799 Batch=539, step=19740, lr=0.118000, batch loss=0.025996, epoch loss=0.209795 Batch=599, step=19800, lr=0.117750, batch loss=0.026636, epoch loss=0.236432 Batch=659, step=19860, lr=0.117500, batch loss=0.016625, epoch loss=0.253057 Batch=719, step=19920, lr=0.117250, batch loss=0.034870, epoch loss=0.287927 Batch=779, step=19980, lr=0.117000, batch loss=0.077065, epoch loss=0.364991 Batch=839, step=20040, lr=0.116750, batch loss=0.030900, epoch loss=0.395891 Batch=899, step=20100, lr=0.116500, batch loss=0.035096, epoch loss=0.430986 Batch=959, step=20160, lr=0.116250, batch loss=0.012271, epoch loss=0.443257 Batch=1019, step=20220, lr=0.116000, batch loss=0.016851, epoch loss=0.460108 Batch=1079, step=20280, lr=0.115750, batch loss=0.002085, epoch loss=0.462193 Batch=1139, step=20340, lr=0.115500, batch loss=0.015003, epoch loss=0.477196 Batch=1199, step=20400, lr=0.115250, batch loss=0.007224, epoch loss=0.484420 Epoch=16, step=20400, lr=0.115250, epoch loss=0.484420 Batch=59, step=20460, lr=0.115000, batch loss=0.003175, epoch loss=0.003175 Batch=119, step=20520, lr=0.114750, batch loss=0.008931, epoch loss=0.012106 Batch=179, step=20580, lr=0.114500, batch loss=0.020491, epoch loss=0.032597 Batch=239, step=20640, lr=0.114250, batch loss=0.020273, epoch loss=0.052869 Batch=299, step=20700, lr=0.114000, batch loss=0.010166, epoch loss=0.063035 Batch=359, step=20760, lr=0.113750, batch loss=0.014833, epoch loss=0.077868 Batch=419, step=20820, lr=0.113500, batch loss=0.015141, epoch loss=0.093009 Batch=479, step=20880, lr=0.113250, batch loss=0.003879, epoch loss=0.096888 Batch=539, step=20940, lr=0.113000, batch loss=0.015829, epoch loss=0.112717 Batch=599, step=21000, lr=0.112750, batch loss=0.017791, epoch loss=0.130508 Batch=659, step=21060, lr=0.112500, batch loss=0.013416, epoch loss=0.143924 Batch=719, step=21120, lr=0.112250, batch loss=0.029701, epoch loss=0.173625 Batch=779, step=21180, lr=0.112000, batch loss=0.045633, epoch loss=0.219258 Batch=839, step=21240, lr=0.111750, batch loss=0.029405, epoch loss=0.248663 Batch=899, step=21300, lr=0.111500, batch loss=0.033908, epoch loss=0.282571 Batch=959, step=21360, lr=0.111250, batch loss=0.010462, epoch loss=0.293033 Batch=1019, step=21420, lr=0.111000, batch loss=0.012630, epoch loss=0.305663 Batch=1079, step=21480, lr=0.110750, batch loss=0.002402, epoch loss=0.308065 Batch=1139, step=21540, lr=0.110500, batch loss=0.011725, epoch loss=0.319791 Batch=1199, step=21600, lr=0.110250, batch loss=0.004697, epoch loss=0.324488 Epoch=17, step=21600, lr=0.110250, epoch loss=0.324488 Batch=59, step=21660, lr=0.110000, batch loss=0.001918, epoch loss=0.001918 Batch=119, step=21720, lr=0.109750, batch loss=0.007222, epoch loss=0.009141 Batch=179, step=21780, lr=0.109500, batch loss=0.012193, epoch loss=0.021334 Batch=239, step=21840, lr=0.109250, batch loss=0.012863, epoch loss=0.034197 Batch=299, step=21900, lr=0.109000, batch loss=0.002457, epoch loss=0.036654 Batch=359, step=21960, lr=0.108750, batch loss=0.011322, epoch loss=0.047976 Batch=419, step=22020, lr=0.108500, batch loss=0.011533, epoch loss=0.059509 Batch=479, step=22080, lr=0.108250, batch loss=0.002666, epoch loss=0.062176 Batch=539, step=22140, lr=0.108000, batch loss=0.018016, epoch loss=0.080191 Batch=599, step=22200, lr=0.107750, batch loss=0.016647, epoch loss=0.096838 Batch=659, step=22260, lr=0.107500, batch loss=0.013767, epoch loss=0.110605 Batch=719, step=22320, lr=0.107250, batch loss=0.028772, epoch loss=0.139377 Batch=779, step=22380, lr=0.107000, batch loss=0.040030, epoch loss=0.179407 Batch=839, step=22440, lr=0.106750, batch loss=0.020675, epoch loss=0.200083 Batch=899, step=22500, lr=0.106500, batch loss=0.022634, epoch loss=0.222717 Batch=959, step=22560, lr=0.106250, batch loss=0.011379, epoch loss=0.234096 Batch=1019, step=22620, lr=0.106000, batch loss=0.009562, epoch loss=0.243658 Batch=1079, step=22680, lr=0.105750, batch loss=0.000461, epoch loss=0.244118 Batch=1139, step=22740, lr=0.105500, batch loss=0.010230, epoch loss=0.254348 Batch=1199, step=22800, lr=0.105250, batch loss=0.004269, epoch loss=0.258617 Epoch=18, step=22800, lr=0.105250, epoch loss=0.258617 Batch=59, step=22860, lr=0.105000, batch loss=0.001285, epoch loss=0.001285 Batch=119, step=22920, lr=0.104750, batch loss=0.005699, epoch loss=0.006985 Batch=179, step=22980, lr=0.104500, batch loss=0.010278, epoch loss=0.017263 Batch=239, step=23040, lr=0.104250, batch loss=0.009496, epoch loss=0.026759 Batch=299, step=23100, lr=0.104000, batch loss=0.007780, epoch loss=0.034539 Batch=359, step=23160, lr=0.103750, batch loss=0.013172, epoch loss=0.047711 Batch=419, step=23220, lr=0.103500, batch loss=0.010661, epoch loss=0.058372 Batch=479, step=23280, lr=0.103250, batch loss=0.002398, epoch loss=0.060770 Batch=539, step=23340, lr=0.103000, batch loss=0.017266, epoch loss=0.078036 Batch=599, step=23400, lr=0.102750, batch loss=0.013555, epoch loss=0.091591 Batch=659, step=23460, lr=0.102500, batch loss=0.009958, epoch loss=0.101549 Batch=719, step=23520, lr=0.102250, batch loss=0.014814, epoch loss=0.116364 Batch=779, step=23580, lr=0.102000, batch loss=0.021637, epoch loss=0.138001 Batch=839, step=23640, lr=0.101750, batch loss=0.027131, epoch loss=0.165132 Batch=899, step=23700, lr=0.101500, batch loss=0.021954, epoch loss=0.187086 Batch=959, step=23760, lr=0.101250, batch loss=0.010591, epoch loss=0.197677 Batch=1019, step=23820, lr=0.101000, batch loss=0.008077, epoch loss=0.205754 Batch=1079, step=23880, lr=0.100750, batch loss=0.000548, epoch loss=0.206302 Batch=1139, step=23940, lr=0.100500, batch loss=0.009232, epoch loss=0.215533 Batch=1199, step=24000, lr=0.100250, batch loss=0.004652, epoch loss=0.220185 Epoch=19, step=24000, lr=0.100250, epoch loss=0.220185 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#*********************************......│ │*******######**##***************.******************#*######*#******************************.........│ │*******##*##**##***********..........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │***********..................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:52.53 ---> saved as "98b16d935a68af96388396ab4b593a718841821973dae02def8867375f42561e" Job succeeded 2025-03-20 22:52.54: Job succeeded