2025-03-20 21:04.47: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0) (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 ccaf459c 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 21:04.47: 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 21:04.47: 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 21:04.47: Waiting for resource in pool OCluster 2025-03-20 21:04.47: Waiting for worker… 2025-03-20 21:14.57: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at ccaf459c Missing from previous commit: test update (from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e) 2025-03-20 21:15.59 ---> 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 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 21:16.13 ---> saved as "94cbd80bcc330ce623803fbb520a85cab1400e88c96764ea5c2e02cd7e19ad53" /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-20 21:16.14 ---> 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. 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 21:17.46 ---> 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 2025-03-20 21:17.46 ---> saved as "e1cd23eff74270a484a5911f8cc469d53dbcdcfafe79312b85310d9254a411b6" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 21:17.46 ---> 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) 2025-03-20 21:18.51 ---> saved as "dab772aca77df98414fc328dd4b874f99de8a0ed482ec5e55cda5daf184a72c6" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 21:18.51 ---> saved as "e801b080c8b262207b174a8e43d1d5f7aa2c94a5aaa80dcd187e747df487c540" /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 21:18.54 ---> saved as "1e7f280ec43971ca8d43dd2b3c3014e0aaed3701f5e4bc048bbee948d0dd6017" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 21:18.54 ---> saved as "4b0d6172b5c79aba82cdbfd5d0214867dac76c7a6edeec6d98a7ca7fdcff61ad" /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_64 159 kB/s | 27 kB 00:00 - Fedora 40 openh264 (From Cisco) - x86_64 9.6 kB/s | 989 B 00:00 - Fedora 40 - x86_64 - Updates 185 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: 0:00:19 ago on Thu Mar 20 21:18:55 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 201 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 2025-03-20 21:19.17 ---> saved as "3131d428f537bb9d8c606340dc016a05fb575475cde9c43057c3ff9a6ba5e536" /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_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_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 ppxlib.0.35.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed cppo.1.8.0 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> 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 ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_here.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) 2025-03-20 21:21.35 ---> saved as "938b8cfe1f89028d19af6d952d3f8556e73fa67046e78bd163a9116307b73e6e" /src: (copy (src .) (dst /src)) 2025-03-20 21:21.36 ---> saved as "b214431f1eadef5d727dd16f955e62b64fb91eb134560ca6745a5aa8b9eafa94" /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/2b3b8c3cd1f38690ef1f658ced901bcd/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/2b3b8c3cd1f38690ef1f658ced901bcd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2b3b8c3cd1f38690ef1f658ced901bcd/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/2b3b8c3cd1f38690ef1f658ced901bcd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2b3b8c3cd1f38690ef1f658ced901bcd/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/0d8e342b6dd7bf7788679223e8883e00/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2b3b8c3cd1f38690ef1f658ced901bcd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2b3b8c3cd1f38690ef1f658ced901bcd/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/2b3b8c3cd1f38690ef1f658ced901bcd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2b3b8c3cd1f38690ef1f658ced901bcd/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/2b3b8c3cd1f38690ef1f658ced901bcd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2b3b8c3cd1f38690ef1f658ced901bcd/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/2b3b8c3cd1f38690ef1f658ced901bcd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2b3b8c3cd1f38690ef1f658ced901bcd/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/2b3b8c3cd1f38690ef1f658ced901bcd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2b3b8c3cd1f38690ef1f658ced901bcd/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/2b3b8c3cd1f38690ef1f658ced901bcd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2b3b8c3cd1f38690ef1f658ced901bcd/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/2b3b8c3cd1f38690ef1f658ced901bcd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2b3b8c3cd1f38690ef1f658ced901bcd/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/2b3b8c3cd1f38690ef1f658ced901bcd/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=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199000, batch loss=0.856726, epoch loss=35.627544 Batch=299, step=300, lr=0.199000, batch loss=1.433764, epoch loss=37.061309 Batch=359, step=360, lr=0.198750, batch loss=1.341737, epoch loss=38.403046 Batch=419, step=420, lr=0.198500, batch loss=0.610259, epoch loss=39.013305 Batch=479, step=480, lr=0.198250, batch loss=0.748185, epoch loss=39.761490 Batch=539, step=540, lr=0.198000, batch loss=0.687112, epoch loss=40.448602 Batch=599, step=600, lr=0.197750, batch loss=1.105030, epoch loss=41.553632 Batch=659, step=660, lr=0.197500, batch loss=0.481346, epoch loss=42.034978 Batch=719, step=720, lr=0.197000, batch loss=0.410555, epoch loss=42.445533 Batch=779, step=780, lr=0.197000, batch loss=0.469625, epoch loss=42.915158 Batch=839, step=840, lr=0.196750, batch loss=0.449986, epoch loss=43.365144 Batch=899, step=900, lr=0.196500, batch loss=0.383322, epoch loss=43.748465 Batch=959, step=960, lr=0.196250, batch loss=0.258190, epoch loss=44.006655 Batch=1019, step=1020, lr=0.196000, batch loss=0.485319, epoch loss=44.491974 Batch=1079, step=1080, lr=0.195750, batch loss=0.269218, epoch loss=44.761192 Batch=1139, step=1140, lr=0.195500, batch loss=0.338750, epoch loss=45.099941 Batch=1199, step=1200, lr=0.195250, batch loss=0.265209, epoch loss=45.365151 Epoch=0, step=1200, lr=0.195250, epoch loss=45.365151 Batch=59, step=1260, lr=0.195000, batch loss=0.265049, epoch loss=0.265049 Batch=119, step=1320, lr=0.194750, batch loss=0.204644, epoch loss=0.469693 Batch=179, step=1380, lr=0.194500, batch loss=0.245817, epoch loss=0.715510 Batch=239, step=1440, lr=0.194250, batch loss=0.349540, epoch loss=1.065050 Batch=299, step=1500, lr=0.194000, batch loss=0.237540, epoch loss=1.302590 Batch=359, step=1560, lr=0.193750, batch loss=0.311970, epoch loss=1.614560 Batch=419, step=1620, lr=0.193500, batch loss=0.309461, epoch loss=1.924021 Batch=479, step=1680, lr=0.193250, batch loss=0.275511, epoch loss=2.199532 Batch=539, step=1740, lr=0.193000, batch loss=0.210808, epoch loss=2.410340 Batch=599, step=1800, lr=0.192750, batch loss=0.252397, epoch loss=2.662737 Batch=659, step=1860, lr=0.192500, batch loss=0.369179, epoch loss=3.031916 Batch=719, step=1920, lr=0.192250, batch loss=0.358205, epoch loss=3.390121 Batch=779, step=1980, lr=0.192000, batch loss=0.383011, epoch loss=3.773132 Batch=839, step=2040, lr=0.191750, batch loss=0.342316, epoch loss=4.115448 Batch=899, step=2100, lr=0.191500, batch loss=0.296683, epoch loss=4.412131 Batch=959, step=2160, lr=0.191250, batch loss=0.213666, epoch loss=4.625797 Batch=1019, step=2220, lr=0.191000, batch loss=0.333203, epoch loss=4.959000 Batch=1079, step=2280, lr=0.190750, batch loss=0.207150, epoch loss=5.166150 Batch=1139, step=2340, lr=0.190500, batch loss=0.263660, epoch loss=5.429810 Batch=1199, step=2400, lr=0.190250, batch loss=0.214131, epoch loss=5.643941 Epoch=1, step=2400, lr=0.190250, epoch loss=5.643941 Batch=59, step=2460, lr=0.190000, batch loss=0.232798, epoch loss=0.232798 Batch=119, step=2520, lr=0.189750, batch loss=0.197088, epoch loss=0.429886 Batch=179, step=2580, lr=0.189500, batch loss=0.220882, epoch loss=0.650768 Batch=239, step=2640, lr=0.189250, batch loss=0.329294, epoch loss=0.980062 Batch=299, step=2700, lr=0.189000, batch loss=0.206652, epoch loss=1.186713 Batch=359, step=2760, lr=0.188750, batch loss=0.291994, epoch loss=1.478708 Batch=419, step=2820, lr=0.188500, batch loss=0.282806, epoch loss=1.761514 Batch=479, step=2880, lr=0.188250, batch loss=0.258718, epoch loss=2.020232 Batch=539, step=2940, lr=0.188000, batch loss=0.198580, epoch loss=2.218812 Batch=599, step=3000, lr=0.187750, batch loss=0.242217, epoch loss=2.461029 Batch=659, step=3060, lr=0.187500, batch loss=0.350779, epoch loss=2.811807 Batch=719, step=3120, lr=0.187250, batch loss=0.347161, epoch loss=3.158968 Batch=779, step=3180, lr=0.187000, batch loss=0.366445, epoch loss=3.525413 Batch=839, step=3240, lr=0.186500, batch loss=0.324427, epoch loss=3.849840 Batch=899, step=3300, lr=0.186500, batch loss=0.291931, epoch loss=4.141770 Batch=959, step=3360, lr=0.186250, batch loss=0.233784, epoch loss=4.375554 Batch=1019, step=3420, lr=0.186000, batch loss=0.360852, epoch loss=4.736406 Batch=1079, step=3480, lr=0.185750, batch loss=0.222320, epoch loss=4.958726 Batch=1139, step=3540, lr=0.185500, batch loss=0.268311, epoch loss=5.227037 Batch=1199, step=3600, lr=0.185250, batch loss=0.202587, epoch loss=5.429625 Epoch=2, step=3600, lr=0.185250, epoch loss=5.429625 Batch=59, step=3660, lr=0.185000, batch loss=0.225245, epoch loss=0.225245 Batch=119, step=3720, lr=0.184750, batch loss=0.183999, epoch loss=0.409243 Batch=179, step=3780, lr=0.184500, batch loss=0.212962, epoch loss=0.622205 Batch=239, step=3840, lr=0.184250, batch loss=0.318540, epoch loss=0.940746 Batch=299, step=3900, lr=0.184000, batch loss=0.203588, epoch loss=1.144334 Batch=359, step=3960, lr=0.183750, batch loss=0.290115, epoch loss=1.434449 Batch=419, step=4020, lr=0.183500, batch loss=0.284777, epoch loss=1.719225 Batch=479, step=4080, lr=0.183250, batch loss=0.257231, epoch loss=1.976456 Batch=539, step=4140, lr=0.183000, batch loss=0.198335, epoch loss=2.174790 Batch=599, step=4200, lr=0.182750, batch loss=0.241204, epoch loss=2.415995 Batch=659, step=4260, lr=0.182500, batch loss=0.330526, epoch loss=2.746520 Batch=719, step=4320, lr=0.182250, batch loss=0.328890, epoch loss=3.075411 Batch=779, step=4380, lr=0.182000, batch loss=0.353405, epoch loss=3.428816 Batch=839, step=4440, lr=0.181750, batch loss=0.318982, epoch loss=3.747798 Batch=899, step=4500, lr=0.181500, batch loss=0.295120, epoch loss=4.042918 Batch=959, step=4560, lr=0.181000, batch loss=0.239139, epoch loss=4.282056 Batch=1019, step=4620, lr=0.181000, batch loss=0.331003, epoch loss=4.613059 Batch=1079, step=4680, lr=0.180750, batch loss=0.196348, epoch loss=4.809407 Batch=1139, step=4740, lr=0.180500, batch loss=0.228388, epoch loss=5.037796 Batch=1199, step=4800, lr=0.180250, batch loss=0.195719, epoch loss=5.233515 Epoch=3, step=4800, lr=0.180250, epoch loss=5.233515 Batch=59, step=4860, lr=0.180000, batch loss=0.236856, epoch loss=0.236856 Batch=119, step=4920, lr=0.179750, batch loss=0.193957, epoch loss=0.430813 Batch=179, step=4980, lr=0.179250, batch loss=0.207131, epoch loss=0.637944 Batch=239, step=5040, lr=0.179250, batch loss=0.309428, epoch loss=0.947373 Batch=299, step=5100, lr=0.179000, batch loss=0.206788, epoch loss=1.154161 Batch=359, step=5160, lr=0.178500, batch loss=0.276169, epoch loss=1.430330 Batch=419, step=5220, lr=0.178500, batch loss=0.269667, epoch loss=1.699996 Batch=479, step=5280, lr=0.178250, batch loss=0.247293, epoch loss=1.947289 Batch=539, step=5340, lr=0.178000, batch loss=0.193208, epoch loss=2.140497 Batch=599, step=5400, lr=0.177500, batch loss=0.226381, epoch loss=2.366879 Batch=659, step=5460, lr=0.177500, batch loss=0.327283, epoch loss=2.694161 Batch=719, step=5520, lr=0.177000, batch loss=0.334392, epoch loss=3.028553 Batch=779, step=5580, lr=0.176750, batch loss=0.345432, epoch loss=3.373985 Batch=839, step=5640, lr=0.176500, batch loss=0.309716, epoch loss=3.683701 Batch=899, step=5700, lr=0.176250, batch loss=0.273200, epoch loss=3.956902 Batch=959, step=5760, lr=0.176000, batch loss=0.215870, epoch loss=4.172772 Batch=1019, step=5820, lr=0.176000, batch loss=0.335365, epoch loss=4.508137 Batch=1079, step=5880, lr=0.175500, batch loss=0.190586, epoch loss=4.698723 Batch=1139, step=5940, lr=0.175500, batch loss=0.225106, epoch loss=4.923829 Batch=1199, step=6000, lr=0.175250, batch loss=0.189750, epoch loss=5.113579 Epoch=4, step=6000, lr=0.175250, epoch loss=5.113579 Batch=59, step=6060, lr=0.174750, batch loss=0.233878, epoch loss=0.233878 Batch=119, step=6120, lr=0.174750, batch loss=0.192556, epoch loss=0.426434 Batch=179, step=6180, lr=0.174500, batch loss=0.202083, epoch loss=0.628516 Batch=239, step=6240, lr=0.174250, batch loss=0.300300, epoch loss=0.928816 Batch=299, step=6300, lr=0.174000, batch loss=0.198589, epoch loss=1.127406 Batch=359, step=6360, lr=0.173500, batch loss=0.266212, epoch loss=1.393617 Batch=419, step=6420, lr=0.173500, batch loss=0.258967, epoch loss=1.652584 Batch=479, step=6480, lr=0.173250, batch loss=0.235850, epoch loss=1.888434 Batch=539, step=6540, lr=0.172750, batch loss=0.191087, epoch loss=2.079522 Batch=599, step=6600, lr=0.172500, batch loss=0.232942, epoch loss=2.312464 Batch=659, step=6660, lr=0.172500, batch loss=0.314626, epoch loss=2.627090 Batch=719, step=6720, lr=0.172250, batch loss=0.317318, epoch loss=2.944407 Batch=779, step=6780, lr=0.172000, batch loss=0.331815, epoch loss=3.276222 Batch=839, step=6840, lr=0.171500, batch loss=0.307045, epoch loss=3.583267 Batch=899, step=6900, lr=0.171500, batch loss=0.268940, epoch loss=3.852207 Batch=959, step=6960, lr=0.171250, batch loss=0.208639, epoch loss=4.060846 Batch=1019, step=7020, lr=0.171000, batch loss=0.329146, epoch loss=4.389991 Batch=1079, step=7080, lr=0.170750, batch loss=0.183266, epoch loss=4.573257 Batch=1139, step=7140, lr=0.170500, batch loss=0.216320, epoch loss=4.789577 Batch=1199, step=7200, lr=0.170250, batch loss=0.183085, epoch loss=4.972662 Epoch=5, step=7200, lr=0.170250, epoch loss=4.972662 Batch=59, step=7260, lr=0.170000, batch loss=0.235696, epoch loss=0.235696 Batch=119, step=7320, lr=0.169750, batch loss=0.183198, epoch loss=0.418893 Batch=179, step=7380, lr=0.169500, batch loss=0.196355, epoch loss=0.615248 Batch=239, step=7440, lr=0.169250, batch loss=0.295243, epoch loss=0.910492 Batch=299, step=7500, lr=0.169000, batch loss=0.204405, epoch loss=1.114897 Batch=359, step=7560, lr=0.168750, batch loss=0.265041, epoch loss=1.379938 Batch=419, step=7620, lr=0.168500, batch loss=0.259731, epoch loss=1.639669 Batch=479, step=7680, lr=0.168250, batch loss=0.235381, epoch loss=1.875050 Batch=539, step=7740, lr=0.168000, batch loss=0.191631, epoch loss=2.066681 Batch=599, step=7800, lr=0.167750, batch loss=0.228943, epoch loss=2.295623 Batch=659, step=7860, lr=0.167500, batch loss=0.305332, epoch loss=2.600956 Batch=719, step=7920, lr=0.167250, batch loss=0.311003, epoch loss=2.911959 Batch=779, step=7980, lr=0.167000, batch loss=0.330324, epoch loss=3.242284 Batch=839, step=8040, lr=0.166750, batch loss=0.292213, epoch loss=3.534496 Batch=899, step=8100, lr=0.166500, batch loss=0.264036, epoch loss=3.798533 Batch=959, step=8160, lr=0.166250, batch loss=0.198510, epoch loss=3.997043 Batch=1019, step=8220, lr=0.166000, batch loss=0.323919, epoch loss=4.320962 Batch=1079, step=8280, lr=0.165750, batch loss=0.187743, epoch loss=4.508705 Batch=1139, step=8340, lr=0.165500, batch loss=0.220264, epoch loss=4.728969 Batch=1199, step=8400, lr=0.165250, batch loss=0.173936, epoch loss=4.902904 Epoch=6, step=8400, lr=0.165250, epoch loss=4.902904 Batch=59, step=8460, lr=0.165000, batch loss=0.210228, epoch loss=0.210228 Batch=119, step=8520, lr=0.164750, batch loss=0.174886, epoch loss=0.385113 Batch=179, step=8580, lr=0.164500, batch loss=0.189137, epoch loss=0.574251 Batch=239, step=8640, lr=0.164000, batch loss=0.281309, epoch loss=0.855559 Batch=299, step=8700, lr=0.164000, batch loss=0.190787, epoch loss=1.046346 Batch=359, step=8760, lr=0.163750, batch loss=0.250305, epoch loss=1.296651 Batch=419, step=8820, lr=0.163500, batch loss=0.246102, epoch loss=1.542753 Batch=479, step=8880, lr=0.163250, batch loss=0.227090, epoch loss=1.769843 Batch=539, step=8940, lr=0.163000, batch loss=0.180263, epoch loss=1.950106 Batch=599, step=9000, lr=0.162750, batch loss=0.215368, epoch loss=2.165474 Batch=659, step=9060, lr=0.162500, batch loss=0.296432, epoch loss=2.461906 Batch=719, step=9120, lr=0.162250, batch loss=0.299695, epoch loss=2.761601 Batch=779, step=9180, lr=0.162000, batch loss=0.317825, epoch loss=3.079426 Batch=839, step=9240, lr=0.161750, batch loss=0.282379, epoch loss=3.361806 Batch=899, step=9300, lr=0.161500, batch loss=0.254341, epoch loss=3.616146 Batch=959, step=9360, lr=0.161250, batch loss=0.210219, epoch loss=3.826365 Batch=1019, step=9420, lr=0.161000, batch loss=0.299095, epoch loss=4.125461 Batch=1079, step=9480, lr=0.160750, batch loss=0.171319, epoch loss=4.296779 Batch=1139, step=9540, lr=0.160500, batch loss=0.201775, epoch loss=4.498554 Batch=1199, step=9600, lr=0.160250, batch loss=0.164707, epoch loss=4.663261 Epoch=7, step=9600, lr=0.160250, epoch loss=4.663261 Batch=59, step=9660, lr=0.160000, batch loss=0.194829, epoch loss=0.194829 Batch=119, step=9720, lr=0.159750, batch loss=0.161087, epoch loss=0.355916 Batch=179, step=9780, lr=0.159500, batch loss=0.179473, epoch loss=0.535389 Batch=239, step=9840, lr=0.159250, batch loss=0.264126, epoch loss=0.799515 Batch=299, step=9900, lr=0.159000, batch loss=0.180933, epoch loss=0.980448 Batch=359, step=9960, lr=0.158750, batch loss=0.245765, epoch loss=1.226213 Batch=419, step=10020, lr=0.158500, batch loss=0.240971, epoch loss=1.467184 Batch=479, step=10080, lr=0.158250, batch loss=0.226406, epoch loss=1.693590 Batch=539, step=10140, lr=0.158000, batch loss=0.174058, epoch loss=1.867649 Batch=599, step=10200, lr=0.157750, batch loss=0.202731, epoch loss=2.070380 Batch=659, step=10260, lr=0.157500, batch loss=0.279775, epoch loss=2.350155 Batch=719, step=10320, lr=0.157250, batch loss=0.282916, epoch loss=2.633071 Batch=779, step=10380, lr=0.157000, batch loss=0.293337, epoch loss=2.926408 Batch=839, step=10440, lr=0.156750, batch loss=0.265865, epoch loss=3.192273 Batch=899, step=10500, lr=0.156500, batch loss=0.237703, epoch loss=3.429976 Batch=959, step=10560, lr=0.156250, batch loss=0.178746, epoch loss=3.608723 Batch=1019, step=10620, lr=0.156000, batch loss=0.297527, epoch loss=3.906250 Batch=1079, step=10680, lr=0.155750, batch loss=0.179654, epoch loss=4.085904 Batch=1139, step=10740, lr=0.155500, batch loss=0.198910, epoch loss=4.284814 Batch=1199, step=10800, lr=0.155250, batch loss=0.155064, epoch loss=4.439878 Epoch=8, step=10800, lr=0.155250, epoch loss=4.439878 Batch=59, step=10860, lr=0.155000, batch loss=0.179499, epoch loss=0.179499 Batch=119, step=10920, lr=0.154750, batch loss=0.152302, epoch loss=0.331801 Batch=179, step=10980, lr=0.154500, batch loss=0.167051, epoch loss=0.498852 Batch=239, step=11040, lr=0.154250, batch loss=0.245110, epoch loss=0.743962 Batch=299, step=11100, lr=0.154000, batch loss=0.164766, epoch loss=0.908728 Batch=359, step=11160, lr=0.153750, batch loss=0.225995, epoch loss=1.134723 Batch=419, step=11220, lr=0.153500, batch loss=0.229120, epoch loss=1.363843 Batch=479, step=11280, lr=0.153250, batch loss=0.204232, epoch loss=1.568075 Batch=539, step=11340, lr=0.153000, batch loss=0.159935, epoch loss=1.728010 Batch=599, step=11400, lr=0.152750, batch loss=0.185944, epoch loss=1.913954 Batch=659, step=11460, lr=0.152500, batch loss=0.263554, epoch loss=2.177509 Batch=719, step=11520, lr=0.152000, batch loss=0.257717, epoch loss=2.435226 Batch=779, step=11580, lr=0.152000, batch loss=0.270614, epoch loss=2.705840 Batch=839, step=11640, lr=0.151750, batch loss=0.258467, epoch loss=2.964307 Batch=899, step=11700, lr=0.151500, batch loss=0.224469, epoch loss=3.188776 Batch=959, step=11760, lr=0.151250, batch loss=0.179915, epoch loss=3.368691 Batch=1019, step=11820, lr=0.151000, batch loss=0.266505, epoch loss=3.635196 Batch=1079, step=11880, lr=0.150750, batch loss=0.152719, epoch loss=3.787915 Batch=1139, step=11940, lr=0.150500, batch loss=0.185904, epoch loss=3.973819 Batch=1199, step=12000, lr=0.150250, batch loss=0.140138, epoch loss=4.113957 Epoch=9, step=12000, lr=0.150250, epoch loss=4.113957 Batch=59, step=12060, lr=0.150000, batch loss=0.159302, epoch loss=0.159302 Batch=119, step=12120, lr=0.149750, batch loss=0.128149, epoch loss=0.287451 Batch=179, step=12180, lr=0.149500, batch loss=0.152083, epoch loss=0.439534 Batch=239, step=12240, lr=0.149250, batch loss=0.220189, epoch loss=0.659723 Batch=299, step=12300, lr=0.149000, batch loss=0.140624, epoch loss=0.800346 Batch=359, step=12360, lr=0.148750, batch loss=0.189043, epoch loss=0.989389 Batch=419, step=12420, lr=0.148500, batch loss=0.183320, epoch loss=1.172709 Batch=479, step=12480, lr=0.148250, batch loss=0.164181, epoch loss=1.336890 Batch=539, step=12540, lr=0.148000, batch loss=0.137785, epoch loss=1.474674 Batch=599, step=12600, lr=0.147750, batch loss=0.157795, epoch loss=1.632469 Batch=659, step=12660, lr=0.147500, batch loss=0.240838, epoch loss=1.873308 Batch=719, step=12720, lr=0.147250, batch loss=0.229636, epoch loss=2.102943 Batch=779, step=12780, lr=0.147000, batch loss=0.252956, epoch loss=2.355900 Batch=839, step=12840, lr=0.146750, batch loss=0.229364, epoch loss=2.585264 Batch=899, step=12900, lr=0.146500, batch loss=0.194275, epoch loss=2.779539 Batch=959, step=12960, lr=0.146250, batch loss=0.163286, epoch loss=2.942824 Batch=1019, step=13020, lr=0.146000, batch loss=0.263098, epoch loss=3.205922 Batch=1079, step=13080, lr=0.145750, batch loss=0.120067, epoch loss=3.325989 Batch=1139, step=13140, lr=0.145500, batch loss=0.156332, epoch loss=3.482321 Batch=1199, step=13200, lr=0.145250, batch loss=0.117591, epoch loss=3.599912 Epoch=10, step=13200, lr=0.145250, epoch loss=3.599912 Batch=59, step=13260, lr=0.145000, batch loss=0.138322, epoch loss=0.138322 Batch=119, step=13320, lr=0.144750, batch loss=0.125814, epoch loss=0.264136 Batch=179, step=13380, lr=0.144250, batch loss=0.128731, epoch loss=0.392867 Batch=239, step=13440, lr=0.144250, batch loss=0.191268, epoch loss=0.584134 Batch=299, step=13500, lr=0.144000, batch loss=0.120217, epoch loss=0.704351 Batch=359, step=13560, lr=0.143750, batch loss=0.165726, epoch loss=0.870077 Batch=419, step=13620, lr=0.143500, batch loss=0.182698, epoch loss=1.052775 Batch=479, step=13680, lr=0.143250, batch loss=0.139344, epoch loss=1.192119 Batch=539, step=13740, lr=0.143000, batch loss=0.117918, epoch loss=1.310037 Batch=599, step=13800, lr=0.142750, batch loss=0.120671, epoch loss=1.430708 Batch=659, step=13860, lr=0.142500, batch loss=0.178657, epoch loss=1.609365 Batch=719, step=13920, lr=0.142250, batch loss=0.173713, epoch loss=1.783078 Batch=779, step=13980, lr=0.142000, batch loss=0.183751, epoch loss=1.966829 Batch=839, step=14040, lr=0.141750, batch loss=0.197213, epoch loss=2.164042 Batch=899, step=14100, lr=0.141500, batch loss=0.209008, epoch loss=2.373049 Batch=959, step=14160, lr=0.141250, batch loss=0.112992, epoch loss=2.486041 Batch=1019, step=14220, lr=0.141000, batch loss=0.198799, epoch loss=2.684840 Batch=1079, step=14280, lr=0.140750, batch loss=0.080972, epoch loss=2.765812 Batch=1139, step=14340, lr=0.140500, batch loss=0.127642, epoch loss=2.893454 Batch=1199, step=14400, lr=0.140250, batch loss=0.086289, epoch loss=2.979743 Epoch=11, step=14400, lr=0.140250, epoch loss=2.979743 Batch=59, step=14460, lr=0.140000, batch loss=0.107386, epoch loss=0.107386 Batch=119, step=14520, lr=0.139750, batch loss=0.105242, epoch loss=0.212628 Batch=179, step=14580, lr=0.139500, batch loss=0.101082, epoch loss=0.313710 Batch=239, step=14640, lr=0.139250, batch loss=0.143488, epoch loss=0.457198 Batch=299, step=14700, lr=0.139000, batch loss=0.074404, epoch loss=0.531602 Batch=359, step=14760, lr=0.138750, batch loss=0.123031, epoch loss=0.654633 Batch=419, step=14820, lr=0.138500, batch loss=0.128943, epoch loss=0.783576 Batch=479, step=14880, lr=0.138250, batch loss=0.105205, epoch loss=0.888781 Batch=539, step=14940, lr=0.138000, batch loss=0.118338, epoch loss=1.007119 Batch=599, step=15000, lr=0.137500, batch loss=0.085700, epoch loss=1.092819 Batch=659, step=15060, lr=0.137500, batch loss=0.130261, epoch loss=1.223080 Batch=719, step=15120, lr=0.137250, batch loss=0.120036, epoch loss=1.343116 Batch=779, step=15180, lr=0.137000, batch loss=0.134174, epoch loss=1.477291 Batch=839, step=15240, lr=0.136750, batch loss=0.157926, epoch loss=1.635217 Batch=899, step=15300, lr=0.136500, batch loss=0.237695, epoch loss=1.872912 Batch=959, step=15360, lr=0.136250, batch loss=0.064559, epoch loss=1.937471 Batch=1019, step=15420, lr=0.136000, batch loss=0.162074, epoch loss=2.099545 Batch=1079, step=15480, lr=0.135750, batch loss=0.048113, epoch loss=2.147658 Batch=1139, step=15540, lr=0.135500, batch loss=0.111267, epoch loss=2.258926 Batch=1199, step=15600, lr=0.135250, batch loss=0.060566, epoch loss=2.319491 Epoch=12, step=15600, lr=0.135250, epoch loss=2.319491 Batch=59, step=15660, lr=0.135000, batch loss=0.072555, epoch loss=0.072555 Batch=119, step=15720, lr=0.134750, batch loss=0.101438, epoch loss=0.173992 Batch=179, step=15780, lr=0.134500, batch loss=0.083770, epoch loss=0.257762 Batch=239, step=15840, lr=0.134250, batch loss=0.093192, epoch loss=0.350954 Batch=299, step=15900, lr=0.134000, batch loss=0.036103, epoch loss=0.387057 Batch=359, step=15960, lr=0.133750, batch loss=0.078476, epoch loss=0.465534 Batch=419, step=16020, lr=0.133500, batch loss=0.077318, epoch loss=0.542851 Batch=479, step=16080, lr=0.133250, batch loss=0.056752, epoch loss=0.599603 Batch=539, step=16140, lr=0.133000, batch loss=0.073947, epoch loss=0.673550 Batch=599, step=16200, lr=0.132750, batch loss=0.175632, epoch loss=0.849182 Batch=659, step=16260, lr=0.132500, batch loss=0.094337, epoch loss=0.943519 Batch=719, step=16320, lr=0.132250, batch loss=0.140123, epoch loss=1.083642 Batch=779, step=16380, lr=0.132000, batch loss=0.344579, epoch loss=1.428221 Batch=839, step=16440, lr=0.131750, batch loss=0.102381, epoch loss=1.530603 Batch=899, step=16500, lr=0.131500, batch loss=0.093512, epoch loss=1.624114 Batch=959, step=16560, lr=0.131250, batch loss=0.036757, epoch loss=1.660871 Batch=1019, step=16620, lr=0.131000, batch loss=0.061617, epoch loss=1.722488 Batch=1079, step=16680, lr=0.130750, batch loss=0.052618, epoch loss=1.775106 Batch=1139, step=16740, lr=0.130500, batch loss=0.090504, epoch loss=1.865609 Batch=1199, step=16800, lr=0.130250, batch loss=0.042155, epoch loss=1.907765 Epoch=13, step=16800, lr=0.130250, epoch loss=1.907765 Batch=59, step=16860, lr=0.130000, batch loss=0.034206, epoch loss=0.034206 Batch=119, step=16920, lr=0.129750, batch loss=0.033893, epoch loss=0.068099 Batch=179, step=16980, lr=0.129500, batch loss=0.043369, epoch loss=0.111468 Batch=239, step=17040, lr=0.129250, batch loss=0.061673, epoch loss=0.173142 Batch=299, step=17100, lr=0.129000, batch loss=0.022254, epoch loss=0.195396 Batch=359, step=17160, lr=0.128750, batch loss=0.045310, epoch loss=0.240706 Batch=419, step=17220, lr=0.128500, batch loss=0.063348, epoch loss=0.304054 Batch=479, step=17280, lr=0.128250, batch loss=0.022769, epoch loss=0.326823 Batch=539, step=17340, lr=0.128000, batch loss=0.027406, epoch loss=0.354229 Batch=599, step=17400, lr=0.127750, batch loss=0.034322, epoch loss=0.388551 Batch=659, step=17460, lr=0.127500, batch loss=0.044362, epoch loss=0.432913 Batch=719, step=17520, lr=0.127250, batch loss=0.045943, epoch loss=0.478856 Batch=779, step=17580, lr=0.127000, batch loss=0.093524, epoch loss=0.572380 Batch=839, step=17640, lr=0.126750, batch loss=0.268051, epoch loss=0.840431 Batch=899, step=17700, lr=0.126500, batch loss=0.057510, epoch loss=0.897940 Batch=959, step=17760, lr=0.126250, batch loss=0.036227, epoch loss=0.934168 Batch=1019, step=17820, lr=0.126000, batch loss=0.073015, epoch loss=1.007183 Batch=1079, step=17880, lr=0.125750, batch loss=0.014672, epoch loss=1.021855 Batch=1139, step=17940, lr=0.125500, batch loss=0.031563, epoch loss=1.053418 Batch=1199, step=18000, lr=0.125250, batch loss=0.016426, epoch loss=1.069844 Epoch=14, step=18000, lr=0.125250, epoch loss=1.069844 Batch=59, step=18060, lr=0.125000, batch loss=0.013817, epoch loss=0.013817 Batch=119, step=18120, lr=0.124750, batch loss=0.020375, epoch loss=0.034192 Batch=179, step=18180, lr=0.124500, batch loss=0.035459, epoch loss=0.069651 Batch=239, step=18240, lr=0.124000, batch loss=0.038283, epoch loss=0.107934 Batch=299, step=18300, lr=0.124000, batch loss=0.016148, epoch loss=0.124082 Batch=359, step=18360, lr=0.123750, batch loss=0.025629, epoch loss=0.149711 Batch=419, step=18420, lr=0.123500, batch loss=0.030450, epoch loss=0.180161 Batch=479, step=18480, lr=0.123250, batch loss=0.016062, epoch loss=0.196223 Batch=539, step=18540, lr=0.123000, batch loss=0.022029, epoch loss=0.218251 Batch=599, step=18600, lr=0.122750, batch loss=0.025581, epoch loss=0.243833 Batch=659, step=18660, lr=0.122500, batch loss=0.032008, epoch loss=0.275840 Batch=719, step=18720, lr=0.122250, batch loss=0.039256, epoch loss=0.315096 Batch=779, step=18780, lr=0.122000, batch loss=0.101183, epoch loss=0.416279 Batch=839, step=18840, lr=0.121750, batch loss=0.062214, epoch loss=0.478494 Batch=899, step=18900, lr=0.121500, batch loss=0.085660, epoch loss=0.564154 Batch=959, step=18960, lr=0.121250, batch loss=0.014921, epoch loss=0.579075 Batch=1019, step=19020, lr=0.121000, batch loss=0.022836, epoch loss=0.601911 Batch=1079, step=19080, lr=0.120750, batch loss=0.008302, epoch loss=0.610213 Batch=1139, step=19140, lr=0.120500, batch loss=0.024140, epoch loss=0.634353 Batch=1199, step=19200, lr=0.120250, batch loss=0.010610, epoch loss=0.644963 Epoch=15, step=19200, lr=0.120250, epoch loss=0.644963 Batch=59, step=19260, lr=0.120000, batch loss=0.005156, epoch loss=0.005156 Batch=119, step=19320, lr=0.119750, batch loss=0.018339, epoch loss=0.023494 Batch=179, step=19380, lr=0.119500, batch loss=0.048667, epoch loss=0.072161 Batch=239, step=19440, lr=0.119250, batch loss=0.021934, epoch loss=0.094096 Batch=299, step=19500, lr=0.119000, batch loss=0.019750, epoch loss=0.113846 Batch=359, step=19560, lr=0.118750, batch loss=0.032797, epoch loss=0.146642 Batch=419, step=19620, lr=0.118500, batch loss=0.020423, epoch loss=0.167066 Batch=479, step=19680, lr=0.118250, batch loss=0.008069, epoch loss=0.175135 Batch=539, step=19740, lr=0.118000, batch loss=0.016930, epoch loss=0.192065 Batch=599, step=19800, lr=0.117750, batch loss=0.022621, epoch loss=0.214686 Batch=659, step=19860, lr=0.117500, batch loss=0.019567, epoch loss=0.234253 Batch=719, step=19920, lr=0.117250, batch loss=0.032621, epoch loss=0.266874 Batch=779, step=19980, lr=0.117000, batch loss=0.067074, epoch loss=0.333948 Batch=839, step=20040, lr=0.116750, batch loss=0.030603, epoch loss=0.364552 Batch=899, step=20100, lr=0.116500, batch loss=0.028646, epoch loss=0.393197 Batch=959, step=20160, lr=0.116000, batch loss=0.018843, epoch loss=0.412041 Batch=1019, step=20220, lr=0.116000, batch loss=0.026439, epoch loss=0.438480 Batch=1079, step=20280, lr=0.115750, batch loss=0.002211, epoch loss=0.440690 Batch=1139, step=20340, lr=0.115500, batch loss=0.014696, epoch loss=0.455386 Batch=1199, step=20400, lr=0.115000, batch loss=0.005911, epoch loss=0.461298 Epoch=16, step=20400, lr=0.115000, epoch loss=0.461298 Batch=59, step=20460, lr=0.115000, batch loss=0.003270, epoch loss=0.003270 Batch=119, step=20520, lr=0.114750, batch loss=0.008604, epoch loss=0.011874 Batch=179, step=20580, lr=0.114500, batch loss=0.014779, epoch loss=0.026653 Batch=239, step=20640, lr=0.114250, batch loss=0.013609, epoch loss=0.040262 Batch=299, step=20700, lr=0.113750, batch loss=0.004153, epoch loss=0.044415 Batch=359, step=20760, lr=0.113500, batch loss=0.013986, epoch loss=0.058401 Batch=419, step=20820, lr=0.113500, batch loss=0.014721, epoch loss=0.073122 Batch=479, step=20880, lr=0.113250, batch loss=0.004089, epoch loss=0.077211 Batch=539, step=20940, lr=0.113000, batch loss=0.016358, epoch loss=0.093569 Batch=599, step=21000, lr=0.112750, batch loss=0.018189, epoch loss=0.111758 Batch=659, step=21060, lr=0.112500, batch loss=0.014364, epoch loss=0.126122 Batch=719, step=21120, lr=0.112250, batch loss=0.042621, epoch loss=0.168743 Batch=779, step=21180, lr=0.111750, batch loss=0.074169, epoch loss=0.242912 Batch=839, step=21240, lr=0.111500, batch loss=0.026082, epoch loss=0.268995 Batch=899, step=21300, lr=0.111500, batch loss=0.035486, epoch loss=0.304481 Batch=959, step=21360, lr=0.111000, batch loss=0.009671, epoch loss=0.314152 Batch=1019, step=21420, lr=0.111000, batch loss=0.011546, epoch loss=0.325698 Batch=1079, step=21480, lr=0.110750, batch loss=0.000851, epoch loss=0.326549 Batch=1139, step=21540, lr=0.110500, batch loss=0.012997, epoch loss=0.339546 Batch=1199, step=21600, lr=0.110250, batch loss=0.005341, epoch loss=0.344886 Epoch=17, step=21600, lr=0.110250, epoch loss=0.344886 Batch=59, step=21660, lr=0.110000, batch loss=0.002380, epoch loss=0.002380 Batch=119, step=21720, lr=0.109750, batch loss=0.006396, epoch loss=0.008776 Batch=179, step=21780, lr=0.109500, batch loss=0.012883, epoch loss=0.021659 Batch=239, step=21840, lr=0.109250, batch loss=0.010173, epoch loss=0.031831 Batch=299, step=21900, lr=0.109000, batch loss=0.014660, epoch loss=0.046491 Batch=359, step=21960, lr=0.108750, batch loss=0.014224, epoch loss=0.060715 Batch=419, step=22020, lr=0.108500, batch loss=0.012197, epoch loss=0.072912 Batch=479, step=22080, lr=0.108250, batch loss=0.002505, epoch loss=0.075417 Batch=539, step=22140, lr=0.108000, batch loss=0.016187, epoch loss=0.091605 Batch=599, step=22200, lr=0.107750, batch loss=0.015256, epoch loss=0.106861 Batch=659, step=22260, lr=0.107500, batch loss=0.012387, epoch loss=0.119248 Batch=719, step=22320, lr=0.107250, batch loss=0.022501, epoch loss=0.141749 Batch=779, step=22380, lr=0.107000, batch loss=0.032491, epoch loss=0.174239 Batch=839, step=22440, lr=0.106750, batch loss=0.027164, epoch loss=0.201403 Batch=899, step=22500, lr=0.106500, batch loss=0.026702, epoch loss=0.228105 Batch=959, step=22560, lr=0.106250, batch loss=0.008493, epoch loss=0.236598 Batch=1019, step=22620, lr=0.106000, batch loss=0.008621, epoch loss=0.245219 Batch=1079, step=22680, lr=0.105750, batch loss=0.000710, epoch loss=0.245929 Batch=1139, step=22740, lr=0.105250, batch loss=0.010458, epoch loss=0.256386 Batch=1199, step=22800, lr=0.105250, batch loss=0.004670, epoch loss=0.261057 Epoch=18, step=22800, lr=0.105250, epoch loss=0.261057 Batch=59, step=22860, lr=0.105000, batch loss=0.001506, epoch loss=0.001506 Batch=119, step=22920, lr=0.104750, batch loss=0.005109, epoch loss=0.006615 Batch=179, step=22980, lr=0.104500, batch loss=0.010664, epoch loss=0.017279 Batch=239, step=23040, lr=0.104250, batch loss=0.008405, epoch loss=0.025684 Batch=299, step=23100, lr=0.104000, batch loss=0.008572, epoch loss=0.034255 Batch=359, step=23160, lr=0.103750, batch loss=0.011501, epoch loss=0.045756 Batch=419, step=23220, lr=0.103250, batch loss=0.010532, epoch loss=0.056289 Batch=479, step=23280, lr=0.103250, batch loss=0.002409, epoch loss=0.058697 Batch=539, step=23340, lr=0.103000, batch loss=0.016494, epoch loss=0.075191 Batch=599, step=23400, lr=0.102750, batch loss=0.013821, epoch loss=0.089012 Batch=659, step=23460, lr=0.102500, batch loss=0.011823, epoch loss=0.100835 Batch=719, step=23520, lr=0.102250, batch loss=0.011990, epoch loss=0.112825 Batch=779, step=23580, lr=0.102000, batch loss=0.022953, epoch loss=0.135778 Batch=839, step=23640, lr=0.101750, batch loss=0.025692, epoch loss=0.161470 Batch=899, step=23700, lr=0.101500, batch loss=0.023263, epoch loss=0.184732 Batch=959, step=23760, lr=0.101000, batch loss=0.008387, epoch loss=0.193119 Batch=1019, step=23820, lr=0.101000, batch loss=0.007856, epoch loss=0.200976 Batch=1079, step=23880, lr=0.100750, batch loss=0.000656, epoch loss=0.201632 Batch=1139, step=23940, lr=0.100500, batch loss=0.009490, epoch loss=0.211122 Batch=1199, step=24000, lr=0.100250, batch loss=0.004418, epoch loss=0.215540 Epoch=19, step=24000, lr=0.100250, epoch loss=0.215540 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%..****************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%.....**************#*#######**********************......%.%%%%.│ │****#######***********.........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%...............****#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 21:23.14 ---> saved as "8ff9f81e55d423cb69666b132002ab2598a2a4a61580dbc89f2bd45f119fd5af" Job succeeded 2025-03-20 21:23.16: Job succeeded