2025-03-21 12:35.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f874a4ef6a2411811f90ece5dd5e2dcdb77c2779) (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 f874a4ef cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e # fedora-40-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo dnf install -y findutils RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 12:35.26: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e-fedora-40-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 12:35.26: Using OBuilder spec: ((from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e) (comment fedora-40-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (network host) (shell "sudo dnf install -y findutils")) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 12:35.26: Waiting for resource in pool OCluster 2025-03-21 12:35.27: Waiting for worker… 2025-03-21 12:36.24: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code (from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e) 2025-03-21 12:39.50 ---> saved as "1476c452edd56a53215a301540bb2009c8d2a15dba423047d40300e18599671f" /: (comment fedora-40-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (network host) (shell "sudo dnf install -y findutils")) Fedora 40 - x86_64 162 kB/s | 27 kB 00:00 Fedora 40 - x86_64 - Updates 65 kB/s | 6.9 kB 00:00 Fedora 40 - x86_64 - Updates 3.2 MB/s | 5.8 MB 00:01 Package findutils-1:4.9.0-9.fc40.x86_64 is already installed. Dependencies resolved. Nothing to do. Complete! 2025-03-21 12:40.04 ---> saved as "94cbd80bcc330ce623803fbb520a85cab1400e88c96764ea5c2e02cd7e19ad53" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 12:40.05 ---> saved as "3cf8028e21344054f79e658239efeb83a6d7aca5695c51333e87cfafa85482ca" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y 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 2025-03-21 12:41.56 ---> saved as "e8183cd9ba1a23c4d7ddb3cf8b2d2350a9e0a7713ccd1e3ac8d0c1e7fffb4080" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 12:41.56 ---> saved as "e1cd23eff74270a484a5911f8cc469d53dbcdcfafe79312b85310d9254a411b6" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 12:41.56 ---> saved as "c4ed4798c67e57846c83ac2aba073c0c9239aa56a5e2c21f39faf8e0638895ed" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..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) 2025-03-21 12:43.37 ---> saved as "dab772aca77df98414fc328dd4b874f99de8a0ed482ec5e55cda5daf184a72c6" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 12:43.37 ---> saved as "b3c1458d2dffc241e60bbd215faf56a55dcfb986863e21eac7f53a89b40c9287" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 12:43.42 ---> saved as "bc242b916d36f5a95dd95336431aadab2520d42f08a0a9d7cf798fdf8a85a529" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 12:43.42 ---> saved as "99abe2e5638a7b6021666aebe939dd0066e9cb52eacde91026c9424c3fb52584" /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "yum" "makecache" - Fedora 40 - x86_64 134 kB/s | 27 kB 00:00 - Fedora 40 openh264 (From Cisco) - x86_64 9.1 kB/s | 989 B 00:00 - Fedora 40 - x86_64 - Updates 63 kB/s | 6.9 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: 0:00:36 ago on Fri Mar 21 12:43:45 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 405 kB/s | 28 kB 00:00 - -------------------------------------------------------------------------------- - Total 104 kB/s | 28 kB 00:00 - Running transaction check - Transaction check succeeded. - Running transaction test - Transaction test succeeded. - Running transaction - Preparing : 1/1 - Installing : libffi-devel-3.4.4-7.fc40.x86_64 1/1 - Running scriptlet: libffi-devel-3.4.4-7.fc40.x86_64 1/1 - - Installed: - libffi-devel-3.4.4-7.fc40.x86_64 - - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.4-7.fc40.x86_64 2025-03-21 12:44.23 ---> saved as "fc908412141f84d4618e32af5e50641ccc3c42263dd940e51e569bd85795e2a0" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed printbox.0.12 -> installed re.1.12.0 -> installed cppo.1.8.0 -> 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 uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed base.v0.17.1 -> installed printbox-ext-plot.0.12 -> installed ctypes-foreign.0.23.0 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 12:46.52 ---> saved as "8a6dc909c2f8092d37652e785545688022c93f063e0b881d32efb3c60109259c" /src: (copy (src .) (dst /src)) 2025-03-21 12:46.53 ---> saved as "e874bbfdb8a7950ae605192290e18108f0a1eb967b225bc6d924b3c0c483e5a5" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/47647ca2ba2d0bbc856e24d04b68cb34/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/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=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.852304, epoch loss=35.617934 Batch=299, step=300, lr=0.198750, batch loss=1.444952, epoch loss=37.062886 Batch=359, step=360, lr=0.198500, batch loss=1.336864, epoch loss=38.399751 Batch=419, step=420, lr=0.198250, batch loss=0.614359, epoch loss=39.014109 Batch=479, step=480, lr=0.198000, batch loss=0.794791, epoch loss=39.808900 Batch=539, step=540, lr=0.197750, batch loss=0.651963, epoch loss=40.460863 Batch=599, step=600, lr=0.197500, batch loss=1.084678, epoch loss=41.545541 Batch=659, step=660, lr=0.197250, batch loss=0.482492, epoch loss=42.028033 Batch=719, step=720, lr=0.197250, batch loss=0.412679, epoch loss=42.440712 Batch=779, step=780, lr=0.196750, batch loss=0.470762, epoch loss=42.911475 Batch=839, step=840, lr=0.196750, batch loss=0.445232, epoch loss=43.356707 Batch=899, step=900, lr=0.196250, batch loss=0.386251, epoch loss=43.742957 Batch=959, step=960, lr=0.196000, batch loss=0.251510, epoch loss=43.994467 Batch=1019, step=1020, lr=0.195750, batch loss=0.471140, epoch loss=44.465607 Batch=1079, step=1080, lr=0.195750, batch loss=0.247945, epoch loss=44.713552 Batch=1139, step=1140, lr=0.195250, batch loss=0.318905, epoch loss=45.032457 Batch=1199, step=1200, lr=0.195000, batch loss=0.265959, epoch loss=45.298416 Epoch=0, step=1200, lr=0.195000, epoch loss=45.298416 Batch=59, step=1260, lr=0.194750, batch loss=0.264420, epoch loss=0.264420 Batch=119, step=1320, lr=0.194500, batch loss=0.206106, epoch loss=0.470526 Batch=179, step=1380, lr=0.194250, batch loss=0.245601, epoch loss=0.716127 Batch=239, step=1440, lr=0.194250, batch loss=0.348730, epoch loss=1.064858 Batch=299, step=1500, lr=0.194000, batch loss=0.241162, epoch loss=1.306020 Batch=359, step=1560, lr=0.193750, batch loss=0.315407, epoch loss=1.621427 Batch=419, step=1620, lr=0.193500, batch loss=0.310223, epoch loss=1.931650 Batch=479, step=1680, lr=0.193250, batch loss=0.277685, epoch loss=2.209335 Batch=539, step=1740, lr=0.193000, batch loss=0.210543, epoch loss=2.419878 Batch=599, step=1800, lr=0.192750, batch loss=0.250755, epoch loss=2.670633 Batch=659, step=1860, lr=0.192500, batch loss=0.372200, epoch loss=3.042833 Batch=719, step=1920, lr=0.192250, batch loss=0.364466, epoch loss=3.407299 Batch=779, step=1980, lr=0.192000, batch loss=0.384257, epoch loss=3.791556 Batch=839, step=2040, lr=0.191500, batch loss=0.341713, epoch loss=4.133270 Batch=899, step=2100, lr=0.191500, batch loss=0.296783, epoch loss=4.430052 Batch=959, step=2160, lr=0.191250, batch loss=0.214991, epoch loss=4.645043 Batch=1019, step=2220, lr=0.191000, batch loss=0.332505, epoch loss=4.977548 Batch=1079, step=2280, lr=0.190750, batch loss=0.195762, epoch loss=5.173310 Batch=1139, step=2340, lr=0.190500, batch loss=0.257172, epoch loss=5.430482 Batch=1199, step=2400, lr=0.190250, batch loss=0.211744, epoch loss=5.642225 Epoch=1, step=2400, lr=0.190250, epoch loss=5.642225 Batch=59, step=2460, lr=0.189750, batch loss=0.228542, epoch loss=0.228542 Batch=119, step=2520, lr=0.189500, batch loss=0.195296, epoch loss=0.423838 Batch=179, step=2580, lr=0.189500, batch loss=0.221021, epoch loss=0.644859 Batch=239, step=2640, lr=0.189250, batch loss=0.328310, epoch loss=0.973169 Batch=299, step=2700, lr=0.189000, batch loss=0.204648, epoch loss=1.177817 Batch=359, step=2760, lr=0.188750, batch loss=0.288795, epoch loss=1.466612 Batch=419, step=2820, lr=0.188500, batch loss=0.280950, epoch loss=1.747562 Batch=479, step=2880, lr=0.188250, batch loss=0.252751, epoch loss=2.000313 Batch=539, step=2940, lr=0.188000, batch loss=0.192525, epoch loss=2.192838 Batch=599, step=3000, lr=0.187500, batch loss=0.225469, epoch loss=2.418307 Batch=659, step=3060, lr=0.187500, batch loss=0.332229, epoch loss=2.750536 Batch=719, step=3120, lr=0.187000, batch loss=0.331277, epoch loss=3.081812 Batch=779, step=3180, lr=0.187000, batch loss=0.359774, epoch loss=3.441586 Batch=839, step=3240, lr=0.186500, batch loss=0.324913, epoch loss=3.766499 Batch=899, step=3300, lr=0.186500, batch loss=0.295877, epoch loss=4.062376 Batch=959, step=3360, lr=0.186250, batch loss=0.237059, epoch loss=4.299435 Batch=1019, step=3420, lr=0.186000, batch loss=0.361870, epoch loss=4.661305 Batch=1079, step=3480, lr=0.185750, batch loss=0.235665, epoch loss=4.896970 Batch=1139, step=3540, lr=0.185500, batch loss=0.264589, epoch loss=5.161559 Batch=1199, step=3600, lr=0.185250, batch loss=0.201466, epoch loss=5.363025 Epoch=2, step=3600, lr=0.185250, epoch loss=5.363025 Batch=59, step=3660, lr=0.185000, batch loss=0.222299, epoch loss=0.222299 Batch=119, step=3720, lr=0.184500, batch loss=0.185125, epoch loss=0.407424 Batch=179, step=3780, lr=0.184250, batch loss=0.211569, epoch loss=0.618993 Batch=239, step=3840, lr=0.184250, batch loss=0.316015, epoch loss=0.935008 Batch=299, step=3900, lr=0.183750, batch loss=0.205138, epoch loss=1.140146 Batch=359, step=3960, lr=0.183750, batch loss=0.282582, epoch loss=1.422729 Batch=419, step=4020, lr=0.183500, batch loss=0.272933, epoch loss=1.695662 Batch=479, step=4080, lr=0.183250, batch loss=0.253405, epoch loss=1.949067 Batch=539, step=4140, lr=0.183000, batch loss=0.196431, epoch loss=2.145498 Batch=599, step=4200, lr=0.182500, batch loss=0.242286, epoch loss=2.387785 Batch=659, step=4260, lr=0.182500, batch loss=0.329062, epoch loss=2.716847 Batch=719, step=4320, lr=0.182250, batch loss=0.327306, epoch loss=3.044153 Batch=779, step=4380, lr=0.182000, batch loss=0.352466, epoch loss=3.396620 Batch=839, step=4440, lr=0.181750, batch loss=0.317491, epoch loss=3.714110 Batch=899, step=4500, lr=0.181250, batch loss=0.286076, epoch loss=4.000187 Batch=959, step=4560, lr=0.181000, batch loss=0.241176, epoch loss=4.241363 Batch=1019, step=4620, lr=0.181000, batch loss=0.334535, epoch loss=4.575898 Batch=1079, step=4680, lr=0.180750, batch loss=0.212926, epoch loss=4.788824 Batch=1139, step=4740, lr=0.180500, batch loss=0.251189, epoch loss=5.040013 Batch=1199, step=4800, lr=0.180250, batch loss=0.191745, epoch loss=5.231758 Epoch=3, step=4800, lr=0.180250, epoch loss=5.231758 Batch=59, step=4860, lr=0.180000, batch loss=0.226912, epoch loss=0.226912 Batch=119, step=4920, lr=0.179500, batch loss=0.191564, epoch loss=0.418476 Batch=179, step=4980, lr=0.179250, batch loss=0.206409, epoch loss=0.624885 Batch=239, step=5040, lr=0.179250, batch loss=0.309607, epoch loss=0.934492 Batch=299, step=5100, lr=0.179000, batch loss=0.207644, epoch loss=1.142136 Batch=359, step=5160, lr=0.178750, batch loss=0.275156, epoch loss=1.417292 Batch=419, step=5220, lr=0.178500, batch loss=0.268741, epoch loss=1.686033 Batch=479, step=5280, lr=0.178250, batch loss=0.253662, epoch loss=1.939695 Batch=539, step=5340, lr=0.178000, batch loss=0.191892, epoch loss=2.131587 Batch=599, step=5400, lr=0.177500, batch loss=0.229790, epoch loss=2.361377 Batch=659, step=5460, lr=0.177500, batch loss=0.326042, epoch loss=2.687419 Batch=719, step=5520, lr=0.177250, batch loss=0.326760, epoch loss=3.014179 Batch=779, step=5580, lr=0.177000, batch loss=0.346064, epoch loss=3.360243 Batch=839, step=5640, lr=0.176750, batch loss=0.309536, epoch loss=3.669779 Batch=899, step=5700, lr=0.176500, batch loss=0.273286, epoch loss=3.943065 Batch=959, step=5760, lr=0.176250, batch loss=0.216183, epoch loss=4.159248 Batch=1019, step=5820, lr=0.176000, batch loss=0.338943, epoch loss=4.498191 Batch=1079, step=5880, lr=0.175750, batch loss=0.207450, epoch loss=4.705641 Batch=1139, step=5940, lr=0.175500, batch loss=0.240155, epoch loss=4.945797 Batch=1199, step=6000, lr=0.175250, batch loss=0.187600, epoch loss=5.133397 Epoch=4, step=6000, lr=0.175250, epoch loss=5.133397 Batch=59, step=6060, lr=0.175000, batch loss=0.230664, epoch loss=0.230664 Batch=119, step=6120, lr=0.174750, batch loss=0.188208, epoch loss=0.418872 Batch=179, step=6180, lr=0.174500, batch loss=0.202322, epoch loss=0.621194 Batch=239, step=6240, lr=0.174250, batch loss=0.303505, epoch loss=0.924698 Batch=299, step=6300, lr=0.174000, batch loss=0.212438, epoch loss=1.137137 Batch=359, step=6360, lr=0.173750, batch loss=0.273620, epoch loss=1.410757 Batch=419, step=6420, lr=0.173500, batch loss=0.267795, epoch loss=1.678553 Batch=479, step=6480, lr=0.173250, batch loss=0.241786, epoch loss=1.920339 Batch=539, step=6540, lr=0.173000, batch loss=0.196114, epoch loss=2.116453 Batch=599, step=6600, lr=0.172750, batch loss=0.233254, epoch loss=2.349707 Batch=659, step=6660, lr=0.172250, batch loss=0.314839, epoch loss=2.664546 Batch=719, step=6720, lr=0.172250, batch loss=0.320220, epoch loss=2.984765 Batch=779, step=6780, lr=0.172000, batch loss=0.341570, epoch loss=3.326335 Batch=839, step=6840, lr=0.171750, batch loss=0.299910, epoch loss=3.626245 Batch=899, step=6900, lr=0.171500, batch loss=0.263645, epoch loss=3.889890 Batch=959, step=6960, lr=0.171250, batch loss=0.207676, epoch loss=4.097566 Batch=1019, step=7020, lr=0.171000, batch loss=0.328469, epoch loss=4.426035 Batch=1079, step=7080, lr=0.170750, batch loss=0.174633, epoch loss=4.600668 Batch=1139, step=7140, lr=0.170500, batch loss=0.212908, epoch loss=4.813575 Batch=1199, step=7200, lr=0.170250, batch loss=0.191049, epoch loss=5.004625 Epoch=5, step=7200, lr=0.170250, epoch loss=5.004625 Batch=59, step=7260, lr=0.170000, batch loss=0.225736, epoch loss=0.225736 Batch=119, step=7320, lr=0.169750, batch loss=0.190418, epoch loss=0.416153 Batch=179, step=7380, lr=0.169500, batch loss=0.194790, epoch loss=0.610944 Batch=239, step=7440, lr=0.169250, batch loss=0.293048, epoch loss=0.903992 Batch=299, step=7500, lr=0.169000, batch loss=0.205091, epoch loss=1.109083 Batch=359, step=7560, lr=0.168750, batch loss=0.264187, epoch loss=1.373270 Batch=419, step=7620, lr=0.168500, batch loss=0.259450, epoch loss=1.632719 Batch=479, step=7680, lr=0.168250, batch loss=0.234700, epoch loss=1.867420 Batch=539, step=7740, lr=0.168000, batch loss=0.192255, epoch loss=2.059675 Batch=599, step=7800, lr=0.167750, batch loss=0.228850, epoch loss=2.288525 Batch=659, step=7860, lr=0.167500, batch loss=0.305090, epoch loss=2.593615 Batch=719, step=7920, lr=0.167250, batch loss=0.310262, epoch loss=2.903877 Batch=779, step=7980, lr=0.167000, batch loss=0.329749, epoch loss=3.233626 Batch=839, step=8040, lr=0.166750, batch loss=0.293375, epoch loss=3.527000 Batch=899, step=8100, lr=0.166500, batch loss=0.263413, epoch loss=3.790414 Batch=959, step=8160, lr=0.166250, batch loss=0.198172, epoch loss=3.988585 Batch=1019, step=8220, lr=0.166000, batch loss=0.323304, epoch loss=4.311889 Batch=1079, step=8280, lr=0.165750, batch loss=0.190038, epoch loss=4.501927 Batch=1139, step=8340, lr=0.165500, batch loss=0.219982, epoch loss=4.721909 Batch=1199, step=8400, lr=0.165250, batch loss=0.173867, epoch loss=4.895776 Epoch=6, step=8400, lr=0.165250, epoch loss=4.895776 Batch=59, step=8460, lr=0.165000, batch loss=0.211026, epoch loss=0.211026 Batch=119, step=8520, lr=0.164750, batch loss=0.173323, epoch loss=0.384349 Batch=179, step=8580, lr=0.164500, batch loss=0.188548, epoch loss=0.572897 Batch=239, step=8640, lr=0.164250, batch loss=0.280435, epoch loss=0.853333 Batch=299, step=8700, lr=0.164000, batch loss=0.188976, epoch loss=1.042308 Batch=359, step=8760, lr=0.163750, batch loss=0.245266, epoch loss=1.287574 Batch=419, step=8820, lr=0.163500, batch loss=0.238943, epoch loss=1.526517 Batch=479, step=8880, lr=0.163250, batch loss=0.214662, epoch loss=1.741179 Batch=539, step=8940, lr=0.163000, batch loss=0.178487, epoch loss=1.919666 Batch=599, step=9000, lr=0.162750, batch loss=0.219704, epoch loss=2.139370 Batch=659, step=9060, lr=0.162500, batch loss=0.293882, epoch loss=2.433252 Batch=719, step=9120, lr=0.162250, batch loss=0.296447, epoch loss=2.729699 Batch=779, step=9180, lr=0.162000, batch loss=0.315276, epoch loss=3.044976 Batch=839, step=9240, lr=0.161750, batch loss=0.281859, epoch loss=3.326835 Batch=899, step=9300, lr=0.161500, batch loss=0.253468, epoch loss=3.580303 Batch=959, step=9360, lr=0.161250, batch loss=0.197914, epoch loss=3.778217 Batch=1019, step=9420, lr=0.161000, batch loss=0.311386, epoch loss=4.089602 Batch=1079, step=9480, lr=0.160750, batch loss=0.196441, epoch loss=4.286044 Batch=1139, step=9540, lr=0.160500, batch loss=0.209981, epoch loss=4.496024 Batch=1199, step=9600, lr=0.160250, batch loss=0.167152, epoch loss=4.663176 Epoch=7, step=9600, lr=0.160250, epoch loss=4.663176 Batch=59, step=9660, lr=0.160000, batch loss=0.195849, epoch loss=0.195849 Batch=119, step=9720, lr=0.159750, batch loss=0.167828, epoch loss=0.363677 Batch=179, step=9780, lr=0.159500, batch loss=0.179436, epoch loss=0.543112 Batch=239, step=9840, lr=0.159250, batch loss=0.263433, epoch loss=0.806545 Batch=299, step=9900, lr=0.159000, batch loss=0.183758, epoch loss=0.990303 Batch=359, step=9960, lr=0.158750, batch loss=0.243959, epoch loss=1.234263 Batch=419, step=10020, lr=0.158500, batch loss=0.238550, epoch loss=1.472813 Batch=479, step=10080, lr=0.158250, batch loss=0.229143, epoch loss=1.701956 Batch=539, step=10140, lr=0.157750, batch loss=0.186274, epoch loss=1.888230 Batch=599, step=10200, lr=0.157750, batch loss=0.204477, epoch loss=2.092707 Batch=659, step=10260, lr=0.157500, batch loss=0.283541, epoch loss=2.376248 Batch=719, step=10320, lr=0.157250, batch loss=0.287743, epoch loss=2.663990 Batch=779, step=10380, lr=0.157000, batch loss=0.297029, epoch loss=2.961019 Batch=839, step=10440, lr=0.156750, batch loss=0.275143, epoch loss=3.236162 Batch=899, step=10500, lr=0.156250, batch loss=0.237498, epoch loss=3.473660 Batch=959, step=10560, lr=0.156250, batch loss=0.181416, epoch loss=3.655076 Batch=1019, step=10620, lr=0.156000, batch loss=0.299359, epoch loss=3.954435 Batch=1079, step=10680, lr=0.155750, batch loss=0.177506, epoch loss=4.131940 Batch=1139, step=10740, lr=0.155500, batch loss=0.200283, epoch loss=4.332223 Batch=1199, step=10800, lr=0.155250, batch loss=0.155623, epoch loss=4.487846 Epoch=8, step=10800, lr=0.155250, epoch loss=4.487846 Batch=59, step=10860, lr=0.155000, batch loss=0.179052, epoch loss=0.179052 Batch=119, step=10920, lr=0.154500, batch loss=0.153306, epoch loss=0.332358 Batch=179, step=10980, lr=0.154500, batch loss=0.167792, epoch loss=0.500150 Batch=239, step=11040, lr=0.154250, batch loss=0.243455, epoch loss=0.743605 Batch=299, step=11100, lr=0.153750, batch loss=0.172955, epoch loss=0.916560 Batch=359, step=11160, lr=0.153750, batch loss=0.221285, epoch loss=1.137845 Batch=419, step=11220, lr=0.153500, batch loss=0.219261, epoch loss=1.357105 Batch=479, step=11280, lr=0.153250, batch loss=0.211591, epoch loss=1.568696 Batch=539, step=11340, lr=0.153000, batch loss=0.159472, epoch loss=1.728168 Batch=599, step=11400, lr=0.152750, batch loss=0.179884, epoch loss=1.908052 Batch=659, step=11460, lr=0.152250, batch loss=0.268113, epoch loss=2.176165 Batch=719, step=11520, lr=0.152000, batch loss=0.257840, epoch loss=2.434005 Batch=779, step=11580, lr=0.152000, batch loss=0.275529, epoch loss=2.709533 Batch=839, step=11640, lr=0.151750, batch loss=0.257782, epoch loss=2.967315 Batch=899, step=11700, lr=0.151500, batch loss=0.214878, epoch loss=3.182194 Batch=959, step=11760, lr=0.151250, batch loss=0.169287, epoch loss=3.351481 Batch=1019, step=11820, lr=0.150750, batch loss=0.268200, epoch loss=3.619681 Batch=1079, step=11880, lr=0.150750, batch loss=0.148916, epoch loss=3.768598 Batch=1139, step=11940, lr=0.150500, batch loss=0.187160, epoch loss=3.955758 Batch=1199, step=12000, lr=0.150250, batch loss=0.140124, epoch loss=4.095882 Epoch=9, step=12000, lr=0.150250, epoch loss=4.095882 Batch=59, step=12060, lr=0.149750, batch loss=0.165387, epoch loss=0.165387 Batch=119, step=12120, lr=0.149500, batch loss=0.135426, epoch loss=0.300813 Batch=179, step=12180, lr=0.149250, batch loss=0.152770, epoch loss=0.453582 Batch=239, step=12240, lr=0.149250, batch loss=0.222136, epoch loss=0.675718 Batch=299, step=12300, lr=0.149000, batch loss=0.142755, epoch loss=0.818473 Batch=359, step=12360, lr=0.148750, batch loss=0.199566, epoch loss=1.018039 Batch=419, step=12420, lr=0.148500, batch loss=0.207698, epoch loss=1.225737 Batch=479, step=12480, lr=0.148250, batch loss=0.180838, epoch loss=1.406575 Batch=539, step=12540, lr=0.148000, batch loss=0.143031, epoch loss=1.549606 Batch=599, step=12600, lr=0.147750, batch loss=0.151074, epoch loss=1.700680 Batch=659, step=12660, lr=0.147500, batch loss=0.229242, epoch loss=1.929921 Batch=719, step=12720, lr=0.147250, batch loss=0.240524, epoch loss=2.170445 Batch=779, step=12780, lr=0.147000, batch loss=0.265887, epoch loss=2.436332 Batch=839, step=12840, lr=0.146750, batch loss=0.237644, epoch loss=2.673976 Batch=899, step=12900, lr=0.146500, batch loss=0.205584, epoch loss=2.879560 Batch=959, step=12960, lr=0.146250, batch loss=0.150646, epoch loss=3.030205 Batch=1019, step=13020, lr=0.146000, batch loss=0.270853, epoch loss=3.301058 Batch=1079, step=13080, lr=0.145750, batch loss=0.111820, epoch loss=3.412878 Batch=1139, step=13140, lr=0.145500, batch loss=0.153377, epoch loss=3.566255 Batch=1199, step=13200, lr=0.145000, batch loss=0.119052, epoch loss=3.685307 Epoch=10, step=13200, lr=0.145000, epoch loss=3.685307 Batch=59, step=13260, lr=0.145000, batch loss=0.138933, epoch loss=0.138933 Batch=119, step=13320, lr=0.144750, batch loss=0.120206, epoch loss=0.259138 Batch=179, step=13380, lr=0.144500, batch loss=0.129211, epoch loss=0.388350 Batch=239, step=13440, lr=0.144250, batch loss=0.185630, epoch loss=0.573980 Batch=299, step=13500, lr=0.144000, batch loss=0.117035, epoch loss=0.691015 Batch=359, step=13560, lr=0.143500, batch loss=0.163142, epoch loss=0.854157 Batch=419, step=13620, lr=0.143500, batch loss=0.164229, epoch loss=1.018386 Batch=479, step=13680, lr=0.143250, batch loss=0.148367, epoch loss=1.166753 Batch=539, step=13740, lr=0.142750, batch loss=0.121155, epoch loss=1.287909 Batch=599, step=13800, lr=0.142750, batch loss=0.122703, epoch loss=1.410612 Batch=659, step=13860, lr=0.142500, batch loss=0.178679, epoch loss=1.589291 Batch=719, step=13920, lr=0.142250, batch loss=0.179128, epoch loss=1.768418 Batch=779, step=13980, lr=0.142000, batch loss=0.200497, epoch loss=1.968915 Batch=839, step=14040, lr=0.141750, batch loss=0.189284, epoch loss=2.158199 Batch=899, step=14100, lr=0.141500, batch loss=0.160410, epoch loss=2.318609 Batch=959, step=14160, lr=0.141250, batch loss=0.136248, epoch loss=2.454856 Batch=1019, step=14220, lr=0.141000, batch loss=0.282651, epoch loss=2.737507 Batch=1079, step=14280, lr=0.140750, batch loss=0.087928, epoch loss=2.825436 Batch=1139, step=14340, lr=0.140500, batch loss=0.133592, epoch loss=2.959028 Batch=1199, step=14400, lr=0.140250, batch loss=0.096219, epoch loss=3.055247 Epoch=11, step=14400, lr=0.140250, epoch loss=3.055247 Batch=59, step=14460, lr=0.140000, batch loss=0.120854, epoch loss=0.120854 Batch=119, step=14520, lr=0.139750, batch loss=0.107401, epoch loss=0.228255 Batch=179, step=14580, lr=0.139250, batch loss=0.105917, epoch loss=0.334172 Batch=239, step=14640, lr=0.139000, batch loss=0.143935, epoch loss=0.478107 Batch=299, step=14700, lr=0.139000, batch loss=0.081336, epoch loss=0.559443 Batch=359, step=14760, lr=0.138750, batch loss=0.121653, epoch loss=0.681096 Batch=419, step=14820, lr=0.138500, batch loss=0.126648, epoch loss=0.807744 Batch=479, step=14880, lr=0.138250, batch loss=0.108192, epoch loss=0.915936 Batch=539, step=14940, lr=0.138000, batch loss=0.110088, epoch loss=1.026023 Batch=599, step=15000, lr=0.137750, batch loss=0.086938, epoch loss=1.112961 Batch=659, step=15060, lr=0.137500, batch loss=0.131742, epoch loss=1.244703 Batch=719, step=15120, lr=0.137250, batch loss=0.120147, epoch loss=1.364850 Batch=779, step=15180, lr=0.137000, batch loss=0.127828, epoch loss=1.492678 Batch=839, step=15240, lr=0.136750, batch loss=0.152696, epoch loss=1.645374 Batch=899, step=15300, lr=0.136500, batch loss=0.215143, epoch loss=1.860517 Batch=959, step=15360, lr=0.136250, batch loss=0.065026, epoch loss=1.925543 Batch=1019, step=15420, lr=0.136000, batch loss=0.162011, epoch loss=2.087554 Batch=1079, step=15480, lr=0.135750, batch loss=0.053449, epoch loss=2.141004 Batch=1139, step=15540, lr=0.135500, batch loss=0.110773, epoch loss=2.251777 Batch=1199, step=15600, lr=0.135250, batch loss=0.057811, epoch loss=2.309588 Epoch=12, step=15600, lr=0.135250, epoch loss=2.309588 Batch=59, step=15660, lr=0.135000, batch loss=0.084306, epoch loss=0.084306 Batch=119, step=15720, lr=0.134750, batch loss=0.131861, epoch loss=0.216167 Batch=179, step=15780, lr=0.134500, batch loss=0.095905, epoch loss=0.312072 Batch=239, step=15840, lr=0.134250, batch loss=0.096474, epoch loss=0.408546 Batch=299, step=15900, lr=0.134000, batch loss=0.040104, epoch loss=0.448650 Batch=359, step=15960, lr=0.133750, batch loss=0.082074, epoch loss=0.530724 Batch=419, step=16020, lr=0.133500, batch loss=0.083893, epoch loss=0.614616 Batch=479, step=16080, lr=0.133250, batch loss=0.071888, epoch loss=0.686504 Batch=539, step=16140, lr=0.133000, batch loss=0.060553, epoch loss=0.747057 Batch=599, step=16200, lr=0.132750, batch loss=0.138421, epoch loss=0.885479 Batch=659, step=16260, lr=0.132500, batch loss=0.088024, epoch loss=0.973503 Batch=719, step=16320, lr=0.132250, batch loss=0.127786, epoch loss=1.101288 Batch=779, step=16380, lr=0.132000, batch loss=0.277030, epoch loss=1.378318 Batch=839, step=16440, lr=0.131750, batch loss=0.091966, epoch loss=1.470284 Batch=899, step=16500, lr=0.131250, batch loss=0.076516, epoch loss=1.546801 Batch=959, step=16560, lr=0.131250, batch loss=0.033045, epoch loss=1.579845 Batch=1019, step=16620, lr=0.131000, batch loss=0.069624, epoch loss=1.649470 Batch=1079, step=16680, lr=0.130750, batch loss=0.047450, epoch loss=1.696920 Batch=1139, step=16740, lr=0.130250, batch loss=0.086147, epoch loss=1.783067 Batch=1199, step=16800, lr=0.130250, batch loss=0.039604, epoch loss=1.822672 Epoch=13, step=16800, lr=0.130250, epoch loss=1.822672 Batch=59, step=16860, lr=0.130000, batch loss=0.034188, epoch loss=0.034188 Batch=119, step=16920, lr=0.129750, batch loss=0.034850, epoch loss=0.069038 Batch=179, step=16980, lr=0.129500, batch loss=0.043449, epoch loss=0.112487 Batch=239, step=17040, lr=0.129250, batch loss=0.059379, epoch loss=0.171867 Batch=299, step=17100, lr=0.129000, batch loss=0.021698, epoch loss=0.193564 Batch=359, step=17160, lr=0.128750, batch loss=0.043386, epoch loss=0.236950 Batch=419, step=17220, lr=0.128500, batch loss=0.062601, epoch loss=0.299551 Batch=479, step=17280, lr=0.128250, batch loss=0.026971, epoch loss=0.326523 Batch=539, step=17340, lr=0.127750, batch loss=0.031203, epoch loss=0.357726 Batch=599, step=17400, lr=0.127500, batch loss=0.035543, epoch loss=0.393269 Batch=659, step=17460, lr=0.127500, batch loss=0.047694, epoch loss=0.440962 Batch=719, step=17520, lr=0.127250, batch loss=0.047996, epoch loss=0.488958 Batch=779, step=17580, lr=0.127000, batch loss=0.085900, epoch loss=0.574858 Batch=839, step=17640, lr=0.126750, batch loss=0.238091, epoch loss=0.812949 Batch=899, step=17700, lr=0.126500, batch loss=0.054172, epoch loss=0.867121 Batch=959, step=17760, lr=0.126250, batch loss=0.023837, epoch loss=0.890958 Batch=1019, step=17820, lr=0.126000, batch loss=0.050143, epoch loss=0.941102 Batch=1079, step=17880, lr=0.125500, batch loss=0.026355, epoch loss=0.967456 Batch=1139, step=17940, lr=0.125500, batch loss=0.059567, epoch loss=1.027023 Batch=1199, step=18000, lr=0.125250, batch loss=0.023675, epoch loss=1.050698 Epoch=14, step=18000, lr=0.125250, epoch loss=1.050698 Batch=59, step=18060, lr=0.125000, batch loss=0.014081, epoch loss=0.014081 Batch=119, step=18120, lr=0.124750, batch loss=0.019713, epoch loss=0.033795 Batch=179, step=18180, lr=0.124500, batch loss=0.030115, epoch loss=0.063910 Batch=239, step=18240, lr=0.124250, batch loss=0.036002, epoch loss=0.099912 Batch=299, step=18300, lr=0.124000, batch loss=0.010550, epoch loss=0.110461 Batch=359, step=18360, lr=0.123750, batch loss=0.025388, epoch loss=0.135849 Batch=419, step=18420, lr=0.123250, batch loss=0.033883, epoch loss=0.169732 Batch=479, step=18480, lr=0.123000, batch loss=0.031121, epoch loss=0.200853 Batch=539, step=18540, lr=0.123000, batch loss=0.056483, epoch loss=0.257336 Batch=599, step=18600, lr=0.122500, batch loss=0.027887, epoch loss=0.285223 Batch=659, step=18660, lr=0.122500, batch loss=0.032393, epoch loss=0.317616 Batch=719, step=18720, lr=0.122250, batch loss=0.032806, epoch loss=0.350422 Batch=779, step=18780, lr=0.122000, batch loss=0.086215, epoch loss=0.436637 Batch=839, step=18840, lr=0.121750, batch loss=0.060868, epoch loss=0.497505 Batch=899, step=18900, lr=0.121250, batch loss=0.076582, epoch loss=0.574087 Batch=959, step=18960, lr=0.121250, batch loss=0.014220, epoch loss=0.588308 Batch=1019, step=19020, lr=0.121000, batch loss=0.017353, epoch loss=0.605660 Batch=1079, step=19080, lr=0.120500, batch loss=0.005276, epoch loss=0.610936 Batch=1139, step=19140, lr=0.120500, batch loss=0.025034, epoch loss=0.635971 Batch=1199, step=19200, lr=0.120250, batch loss=0.010151, epoch loss=0.646122 Epoch=15, step=19200, lr=0.120250, epoch loss=0.646122 Batch=59, step=19260, lr=0.120000, batch loss=0.005077, epoch loss=0.005077 Batch=119, step=19320, lr=0.119750, batch loss=0.019531, epoch loss=0.024608 Batch=179, step=19380, lr=0.119500, batch loss=0.052777, epoch loss=0.077385 Batch=239, step=19440, lr=0.119250, batch loss=0.024853, epoch loss=0.102238 Batch=299, step=19500, lr=0.119000, batch loss=0.015233, epoch loss=0.117471 Batch=359, step=19560, lr=0.118500, batch loss=0.034932, epoch loss=0.152403 Batch=419, step=19620, lr=0.118500, batch loss=0.021514, epoch loss=0.173917 Batch=479, step=19680, lr=0.118250, batch loss=0.008314, epoch loss=0.182231 Batch=539, step=19740, lr=0.118000, batch loss=0.020085, epoch loss=0.202316 Batch=599, step=19800, lr=0.117750, batch loss=0.025353, epoch loss=0.227669 Batch=659, step=19860, lr=0.117500, batch loss=0.020311, epoch loss=0.247980 Batch=719, step=19920, lr=0.117000, batch loss=0.055099, epoch loss=0.303078 Batch=779, step=19980, lr=0.117000, batch loss=0.080506, epoch loss=0.383584 Batch=839, step=20040, lr=0.116750, batch loss=0.031131, epoch loss=0.414715 Batch=899, step=20100, lr=0.116500, batch loss=0.030742, epoch loss=0.445457 Batch=959, step=20160, lr=0.116250, batch loss=0.014828, epoch loss=0.460285 Batch=1019, step=20220, lr=0.116000, batch loss=0.019286, epoch loss=0.479571 Batch=1079, step=20280, lr=0.115500, batch loss=0.004268, epoch loss=0.483839 Batch=1139, step=20340, lr=0.115500, batch loss=0.019749, epoch loss=0.503588 Batch=1199, step=20400, lr=0.115250, batch loss=0.006887, epoch loss=0.510475 Epoch=16, step=20400, lr=0.115250, epoch loss=0.510475 Batch=59, step=20460, lr=0.115000, batch loss=0.003363, epoch loss=0.003363 Batch=119, step=20520, lr=0.114750, batch loss=0.010277, epoch loss=0.013641 Batch=179, step=20580, lr=0.114500, batch loss=0.020880, epoch loss=0.034521 Batch=239, step=20640, lr=0.114250, batch loss=0.019499, epoch loss=0.054020 Batch=299, step=20700, lr=0.114000, batch loss=0.009228, epoch loss=0.063248 Batch=359, step=20760, lr=0.113750, batch loss=0.013323, epoch loss=0.076571 Batch=419, step=20820, lr=0.113500, batch loss=0.016535, epoch loss=0.093106 Batch=479, step=20880, lr=0.113250, batch loss=0.003959, epoch loss=0.097064 Batch=539, step=20940, lr=0.113000, batch loss=0.016037, epoch loss=0.113101 Batch=599, step=21000, lr=0.112750, batch loss=0.018432, epoch loss=0.131533 Batch=659, step=21060, lr=0.112500, batch loss=0.014975, epoch loss=0.146508 Batch=719, step=21120, lr=0.112250, batch loss=0.041827, epoch loss=0.188335 Batch=779, step=21180, lr=0.111750, batch loss=0.075325, epoch loss=0.263661 Batch=839, step=21240, lr=0.111500, batch loss=0.026778, epoch loss=0.290438 Batch=899, step=21300, lr=0.111500, batch loss=0.035499, epoch loss=0.325937 Batch=959, step=21360, lr=0.111250, batch loss=0.009736, epoch loss=0.335673 Batch=1019, step=21420, lr=0.111000, batch loss=0.010957, epoch loss=0.346629 Batch=1079, step=21480, lr=0.110750, batch loss=0.000976, epoch loss=0.347605 Batch=1139, step=21540, lr=0.110500, batch loss=0.012909, epoch loss=0.360514 Batch=1199, step=21600, lr=0.110250, batch loss=0.005151, epoch loss=0.365665 Epoch=17, step=21600, lr=0.110250, epoch loss=0.365665 Batch=59, step=21660, lr=0.110000, batch loss=0.002010, epoch loss=0.002010 Batch=119, step=21720, lr=0.109750, batch loss=0.006424, epoch loss=0.008434 Batch=179, step=21780, lr=0.109500, batch loss=0.012889, epoch loss=0.021323 Batch=239, step=21840, lr=0.109250, batch loss=0.011267, epoch loss=0.032590 Batch=299, step=21900, lr=0.109000, batch loss=0.013106, epoch loss=0.045697 Batch=359, step=21960, lr=0.108750, batch loss=0.012738, epoch loss=0.058435 Batch=419, step=22020, lr=0.108250, batch loss=0.013102, epoch loss=0.071537 Batch=479, step=22080, lr=0.108250, batch loss=0.003442, epoch loss=0.074979 Batch=539, step=22140, lr=0.108000, batch loss=0.014279, epoch loss=0.089258 Batch=599, step=22200, lr=0.107750, batch loss=0.015777, epoch loss=0.105035 Batch=659, step=22260, lr=0.107500, batch loss=0.012835, epoch loss=0.117869 Batch=719, step=22320, lr=0.107250, batch loss=0.026156, epoch loss=0.144025 Batch=779, step=22380, lr=0.107000, batch loss=0.038328, epoch loss=0.182353 Batch=839, step=22440, lr=0.106750, batch loss=0.024132, epoch loss=0.206485 Batch=899, step=22500, lr=0.106500, batch loss=0.030429, epoch loss=0.236915 Batch=959, step=22560, lr=0.106250, batch loss=0.008783, epoch loss=0.245698 Batch=1019, step=22620, lr=0.106000, batch loss=0.009408, epoch loss=0.255106 Batch=1079, step=22680, lr=0.105750, batch loss=0.000343, epoch loss=0.255450 Batch=1139, step=22740, lr=0.105500, batch loss=0.010257, epoch loss=0.265706 Batch=1199, step=22800, lr=0.105250, batch loss=0.004633, epoch loss=0.270339 Epoch=18, step=22800, lr=0.105250, epoch loss=0.270339 Batch=59, step=22860, lr=0.104750, batch loss=0.001362, epoch loss=0.001362 Batch=119, step=22920, lr=0.104750, batch loss=0.005201, epoch loss=0.006563 Batch=179, step=22980, lr=0.104500, batch loss=0.010365, epoch loss=0.016928 Batch=239, step=23040, lr=0.104250, batch loss=0.008432, epoch loss=0.025360 Batch=299, step=23100, lr=0.103750, batch loss=0.006440, epoch loss=0.031800 Batch=359, step=23160, lr=0.103750, batch loss=0.012508, epoch loss=0.044308 Batch=419, step=23220, lr=0.103500, batch loss=0.010384, epoch loss=0.054692 Batch=479, step=23280, lr=0.103250, batch loss=0.002357, epoch loss=0.057049 Batch=539, step=23340, lr=0.103000, batch loss=0.017381, epoch loss=0.074430 Batch=599, step=23400, lr=0.102750, batch loss=0.014990, epoch loss=0.089420 Batch=659, step=23460, lr=0.102500, batch loss=0.014400, epoch loss=0.103820 Batch=719, step=23520, lr=0.102250, batch loss=0.016978, epoch loss=0.120798 Batch=779, step=23580, lr=0.102000, batch loss=0.019758, epoch loss=0.140556 Batch=839, step=23640, lr=0.101500, batch loss=0.026677, epoch loss=0.167232 Batch=899, step=23700, lr=0.101500, batch loss=0.022341, epoch loss=0.189574 Batch=959, step=23760, lr=0.101250, batch loss=0.010741, epoch loss=0.200314 Batch=1019, step=23820, lr=0.101000, batch loss=0.010808, epoch loss=0.211123 Batch=1079, step=23880, lr=0.100500, batch loss=0.000739, epoch loss=0.211861 Batch=1139, step=23940, lr=0.100250, batch loss=0.009835, epoch loss=0.221696 Batch=1199, step=24000, lr=0.100250, batch loss=0.005105, epoch loss=0.226801 Epoch=19, step=24000, lr=0.100250, epoch loss=0.226801 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#******************************.........│ │*******##*##**##***********..........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*****************..........%%%%%%.│ │*##*####*************..........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#*********..................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │***********..................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 12:48.13 ---> saved as "544d4fcb3ebcbb2c13e29454234fa5139ba5b294fdd180d6b553fdeac79d2e0b" Job succeeded 2025-03-21 12:48.14: Job succeeded