2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (linux-x86_64:debian-11-5.3_opam-2.3) Base: ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 8b6a6fac cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c # debian-11-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 14:48.49: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c-debian-11-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 14:48.49: Using OBuilder spec: ((from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c) (comment debian-11-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 14:48.49: Waiting for resource in pool OCluster 2025-03-21 14:48.50: Waiting for worker… 2025-03-21 14:49.03: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests (from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c) 2025-03-21 14:49.23 ---> saved as "b4f3e3a5063982bbc841035e188663009352cabdae6127a84a77b2b1e7746a9c" /: (comment debian-11-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 14:49.23 ---> saved as "837909cf357dbef762753eebac80775e6de312510185f4ca5a6cecd3ae4cd0bf" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 31 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=31 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 14:50.44 ---> saved as "126754616a0883edf73855301c586b0218900498f80d24bfe653bbe0af0fda41" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 14:50.44 ---> saved as "f1a850b0d0b34fa431f0064c7e811f48129c9a3c72bcf8cfd6026d2ea544afa4" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 14:50.44 ---> saved as "2ee37b392ed39ae65bd872720b58ef9daa42c6c50406b47cee7e065de030dfee" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..acfb0e6e94 master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 14:52.09 ---> saved as "43eed9b2620af14dda9b17d57d927cf8f18cd27565b6b6e5db1da1dd96506c0c" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 14:52.10 ---> saved as "ca85100046af1e50532c2ca4856e0a98d658d0e0cf42bca9e269b56b67b3760a" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 14:52.15 ---> saved as "b4d20779886cc71bdc29ec05383e522e1d56dc9ed4bfbb528d4505bc9dae75aa" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 14:52.15 ---> saved as "982883279bbcd56d744d11a295c330d66a69f7e69854a69db155d33f41682f48" /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 "apt-get" "update" - Hit:1 http://deb.debian.org/debian bullseye InRelease - Get:2 http://deb.debian.org/debian-security bullseye-security InRelease [27.2 kB] - Get:3 http://deb.debian.org/debian bullseye-updates InRelease [44.1 kB] - Get:4 http://deb.debian.org/debian-security bullseye-security/main amd64 Packages [351 kB] - Fetched 422 kB in 0s (881 kB/s) - Reading package lists... - <><> 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-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18364 files and directories currently installed.) - Preparing to unpack .../0-libffi-dev_3.3-6_amd64.deb ... - Unpacking libffi-dev:amd64 (3.3-6) ... - Selecting previously unselected package libglib2.0-0:amd64. - Preparing to unpack .../1-libglib2.0-0_2.66.8-1+deb11u5_amd64.deb ... - Unpacking libglib2.0-0:amd64 (2.66.8-1+deb11u5) ... - Selecting previously unselected package libglib2.0-data. - Preparing to unpack .../2-libglib2.0-data_2.66.8-1+deb11u5_all.deb ... - Unpacking libglib2.0-data (2.66.8-1+deb11u5) ... - Selecting previously unselected package libicu67:amd64. - Preparing to unpack .../3-libicu67_67.1-7_amd64.deb ... - Unpacking libicu67:amd64 (67.1-7) ... - Selecting previously unselected package libxml2:amd64. - Preparing to unpack .../4-libxml2_2.9.10+dfsg-6.7+deb11u6_amd64.deb ... - Unpacking libxml2:amd64 (2.9.10+dfsg-6.7+deb11u6) ... - Selecting previously unselected package pkg-config. - Preparing to unpack .../5-pkg-config_0.29.2-1_amd64.deb ... - Unpacking pkg-config (0.29.2-1) ... - Selecting previously unselected package shared-mime-info. - Preparing to unpack .../6-shared-mime-info_2.0-1_amd64.deb ... - Unpacking shared-mime-info (2.0-1) ... - Selecting previously unselected package xdg-user-dirs. - Preparing to unpack .../7-xdg-user-dirs_0.17-2_amd64.deb ... - Unpacking xdg-user-dirs (0.17-2) ... - Setting up libicu67:amd64 (67.1-7) ... - Setting up xdg-user-dirs (0.17-2) ... - Setting up libglib2.0-0:amd64 (2.66.8-1+deb11u5) ... - No schema files found: doing nothing. - Setting up libffi-dev:amd64 (3.3-6) ... - Setting up libglib2.0-data (2.66.8-1+deb11u5) ... - Setting up pkg-config (0.29.2-1) ... - Setting up libxml2:amd64 (2.9.10+dfsg-6.7+deb11u6) ... - Setting up shared-mime-info (2.0-1) ... - Processing triggers for libc-bin (2.31-13+deb11u11) ... 2025-03-21 14:53.06 ---> saved as "82c76151faf9ece368b0c5d5e078fb86b2e2adef0f4f6af7107a2d3e1614702b" /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 ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (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 ppx_derivers.1.2.1 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed 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 base.v0.17.1 -> installed printbox-md.0.12 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> 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_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_globalize.v0.17.0 -> 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_minidebug.2.1.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 14:55.52 ---> saved as "39cbaa7b5803dc3a7980c5e931437b8332532397d7cfd69b50234e8fb09894c4" /src: (copy (src .) (dst /src)) 2025-03-21 14:55.53 ---> saved as "4290a8e547315768f99743e616604614964aff6a7290c2299552fb54b09d9bf1" /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/42532ab8fa5bdc87e1bb888c91589f81/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/42532ab8fa5bdc87e1bb888c91589f81/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/42532ab8fa5bdc87e1bb888c91589f81/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/2fa2550f1eef6a472d11fd37784fab91/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/42532ab8fa5bdc87e1bb888c91589f81/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/42532ab8fa5bdc87e1bb888c91589f81/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/42532ab8fa5bdc87e1bb888c91589f81/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/42532ab8fa5bdc87e1bb888c91589f81/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/42532ab8fa5bdc87e1bb888c91589f81/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/42532ab8fa5bdc87e1bb888c91589f81/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/42532ab8fa5bdc87e1bb888c91589f81/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/42532ab8fa5bdc87e1bb888c91589f81/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/42532ab8fa5bdc87e1bb888c91589f81/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/42532ab8fa5bdc87e1bb888c91589f81/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/42532ab8fa5bdc87e1bb888c91589f81/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/42532ab8fa5bdc87e1bb888c91589f81/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/42532ab8fa5bdc87e1bb888c91589f81/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/42532ab8fa5bdc87e1bb888c91589f81/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/42532ab8fa5bdc87e1bb888c91589f81/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/42532ab8fa5bdc87e1bb888c91589f81/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/42532ab8fa5bdc87e1bb888c91589f81/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=0.199500, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.855278, epoch loss=35.626096 Batch=299, step=300, lr=0.198750, batch loss=1.437143, epoch loss=37.063240 Batch=359, step=360, lr=0.198750, batch loss=1.337152, epoch loss=38.400391 Batch=419, step=420, lr=0.198500, batch loss=0.612375, epoch loss=39.012766 Batch=479, step=480, lr=0.198250, batch loss=0.744607, epoch loss=39.757373 Batch=539, step=540, lr=0.197750, batch loss=0.693345, epoch loss=40.450718 Batch=599, step=600, lr=0.197750, batch loss=1.098187, epoch loss=41.548905 Batch=659, step=660, lr=0.197500, batch loss=0.482426, epoch loss=42.031331 Batch=719, step=720, lr=0.197250, batch loss=0.410718, epoch loss=42.442049 Batch=779, step=780, lr=0.197000, batch loss=0.468528, epoch loss=42.910577 Batch=839, step=840, lr=0.196750, batch loss=0.450807, epoch loss=43.361384 Batch=899, step=900, lr=0.196500, batch loss=0.383863, epoch loss=43.745247 Batch=959, step=960, lr=0.196250, batch loss=0.266117, epoch loss=44.011364 Batch=1019, step=1020, lr=0.196000, batch loss=0.490429, epoch loss=44.501793 Batch=1079, step=1080, lr=0.195750, batch loss=0.262356, epoch loss=44.764149 Batch=1139, step=1140, lr=0.195500, batch loss=0.333071, epoch loss=45.097220 Batch=1199, step=1200, lr=0.195250, batch loss=0.264531, epoch loss=45.361751 Epoch=0, step=1200, lr=0.195250, epoch loss=45.361751 Batch=59, step=1260, lr=0.195000, batch loss=0.264188, epoch loss=0.264188 Batch=119, step=1320, lr=0.194750, batch loss=0.209247, epoch loss=0.473435 Batch=179, step=1380, lr=0.194500, batch loss=0.248537, epoch loss=0.721972 Batch=239, step=1440, lr=0.194250, batch loss=0.349818, epoch loss=1.071789 Batch=299, step=1500, lr=0.194000, batch loss=0.239356, epoch loss=1.311145 Batch=359, step=1560, lr=0.193750, batch loss=0.314225, epoch loss=1.625371 Batch=419, step=1620, lr=0.193500, batch loss=0.313984, epoch loss=1.939355 Batch=479, step=1680, lr=0.193250, batch loss=0.280455, epoch loss=2.219810 Batch=539, step=1740, lr=0.193000, batch loss=0.210805, epoch loss=2.430615 Batch=599, step=1800, lr=0.192750, batch loss=0.246564, epoch loss=2.677179 Batch=659, step=1860, lr=0.192500, batch loss=0.363016, epoch loss=3.040195 Batch=719, step=1920, lr=0.192250, batch loss=0.355573, epoch loss=3.395768 Batch=779, step=1980, lr=0.192000, batch loss=0.377939, epoch loss=3.773707 Batch=839, step=2040, lr=0.191750, batch loss=0.341789, epoch loss=4.115496 Batch=899, step=2100, lr=0.191500, batch loss=0.297754, epoch loss=4.413251 Batch=959, step=2160, lr=0.191250, batch loss=0.206750, epoch loss=4.620001 Batch=1019, step=2220, lr=0.191000, batch loss=0.336113, epoch loss=4.956113 Batch=1079, step=2280, lr=0.190750, batch loss=0.202198, epoch loss=5.158311 Batch=1139, step=2340, lr=0.190500, batch loss=0.265313, epoch loss=5.423624 Batch=1199, step=2400, lr=0.190000, batch loss=0.213534, epoch loss=5.637158 Epoch=1, step=2400, lr=0.190000, epoch loss=5.637158 Batch=59, step=2460, lr=0.189750, batch loss=0.230798, epoch loss=0.230798 Batch=119, step=2520, lr=0.189500, batch loss=0.198739, epoch loss=0.429537 Batch=179, step=2580, lr=0.189250, batch loss=0.220604, epoch loss=0.650141 Batch=239, step=2640, lr=0.189250, batch loss=0.329180, epoch loss=0.979322 Batch=299, step=2700, lr=0.189000, batch loss=0.206897, epoch loss=1.186219 Batch=359, step=2760, lr=0.188750, batch loss=0.294647, epoch loss=1.480866 Batch=419, step=2820, lr=0.188500, batch loss=0.281801, epoch loss=1.762667 Batch=479, step=2880, lr=0.188250, batch loss=0.256507, epoch loss=2.019174 Batch=539, step=2940, lr=0.188000, batch loss=0.196774, epoch loss=2.215948 Batch=599, step=3000, lr=0.187750, batch loss=0.242407, epoch loss=2.458355 Batch=659, step=3060, lr=0.187500, batch loss=0.351281, epoch loss=2.809636 Batch=719, step=3120, lr=0.187000, batch loss=0.347683, epoch loss=3.157319 Batch=779, step=3180, lr=0.186750, batch loss=0.366536, epoch loss=3.523855 Batch=839, step=3240, lr=0.186750, batch loss=0.324532, epoch loss=3.848388 Batch=899, step=3300, lr=0.186500, batch loss=0.292151, epoch loss=4.140539 Batch=959, step=3360, lr=0.186250, batch loss=0.233233, epoch loss=4.373771 Batch=1019, step=3420, lr=0.186000, batch loss=0.361139, epoch loss=4.734911 Batch=1079, step=3480, lr=0.185750, batch loss=0.221056, epoch loss=4.955967 Batch=1139, step=3540, lr=0.185500, batch loss=0.268182, epoch loss=5.224149 Batch=1199, step=3600, lr=0.185000, batch loss=0.200434, epoch loss=5.424583 Epoch=2, step=3600, lr=0.185000, epoch loss=5.424583 Batch=59, step=3660, lr=0.184750, batch loss=0.224805, epoch loss=0.224805 Batch=119, step=3720, lr=0.184500, batch loss=0.184033, epoch loss=0.408839 Batch=179, step=3780, lr=0.184250, batch loss=0.212651, epoch loss=0.621489 Batch=239, step=3840, lr=0.184250, batch loss=0.318223, epoch loss=0.939712 Batch=299, step=3900, lr=0.184000, batch loss=0.203626, epoch loss=1.143338 Batch=359, step=3960, lr=0.183750, batch loss=0.289926, epoch loss=1.433264 Batch=419, step=4020, lr=0.183500, batch loss=0.284371, epoch loss=1.717636 Batch=479, step=4080, lr=0.183250, batch loss=0.257242, epoch loss=1.974877 Batch=539, step=4140, lr=0.183000, batch loss=0.198240, epoch loss=2.173118 Batch=599, step=4200, lr=0.182500, batch loss=0.241382, epoch loss=2.414499 Batch=659, step=4260, lr=0.182500, batch loss=0.330225, epoch loss=2.744724 Batch=719, step=4320, lr=0.182250, batch loss=0.328490, epoch loss=3.073214 Batch=779, step=4380, lr=0.181750, batch loss=0.353399, epoch loss=3.426613 Batch=839, step=4440, lr=0.181750, batch loss=0.318471, epoch loss=3.745084 Batch=899, step=4500, lr=0.181250, batch loss=0.295177, epoch loss=4.040261 Batch=959, step=4560, lr=0.181250, batch loss=0.240003, epoch loss=4.280263 Batch=1019, step=4620, lr=0.180750, batch loss=0.345927, epoch loss=4.626190 Batch=1079, step=4680, lr=0.180750, batch loss=0.214363, epoch loss=4.840553 Batch=1139, step=4740, lr=0.180250, batch loss=0.251001, epoch loss=5.091554 Batch=1199, step=4800, lr=0.180250, batch loss=0.192086, epoch loss=5.283640 Epoch=3, step=4800, lr=0.180250, epoch loss=5.283640 Batch=59, step=4860, lr=0.180000, batch loss=0.226443, epoch loss=0.226443 Batch=119, step=4920, lr=0.179750, batch loss=0.185919, epoch loss=0.412362 Batch=179, step=4980, lr=0.179250, batch loss=0.206918, epoch loss=0.619280 Batch=239, step=5040, lr=0.179250, batch loss=0.308415, epoch loss=0.927695 Batch=299, step=5100, lr=0.179000, batch loss=0.198891, epoch loss=1.126585 Batch=359, step=5160, lr=0.178750, batch loss=0.276068, epoch loss=1.402654 Batch=419, step=5220, lr=0.178500, batch loss=0.264926, epoch loss=1.667579 Batch=479, step=5280, lr=0.178250, batch loss=0.241470, epoch loss=1.909049 Batch=539, step=5340, lr=0.178000, batch loss=0.189530, epoch loss=2.098579 Batch=599, step=5400, lr=0.177500, batch loss=0.231284, epoch loss=2.329863 Batch=659, step=5460, lr=0.177500, batch loss=0.325327, epoch loss=2.655190 Batch=719, step=5520, lr=0.177250, batch loss=0.321872, epoch loss=2.977062 Batch=779, step=5580, lr=0.177000, batch loss=0.343825, epoch loss=3.320887 Batch=839, step=5640, lr=0.176500, batch loss=0.311263, epoch loss=3.632149 Batch=899, step=5700, lr=0.176250, batch loss=0.270800, epoch loss=3.902949 Batch=959, step=5760, lr=0.176000, batch loss=0.219811, epoch loss=4.122760 Batch=1019, step=5820, lr=0.175750, batch loss=0.335598, epoch loss=4.458358 Batch=1079, step=5880, lr=0.175750, batch loss=0.188978, epoch loss=4.647336 Batch=1139, step=5940, lr=0.175500, batch loss=0.224580, epoch loss=4.871916 Batch=1199, step=6000, lr=0.175250, batch loss=0.189445, epoch loss=5.061361 Epoch=4, step=6000, lr=0.175250, epoch loss=5.061361 Batch=59, step=6060, lr=0.175000, batch loss=0.232657, epoch loss=0.232657 Batch=119, step=6120, lr=0.174750, batch loss=0.193073, epoch loss=0.425731 Batch=179, step=6180, lr=0.174500, batch loss=0.202613, epoch loss=0.628343 Batch=239, step=6240, lr=0.174000, batch loss=0.300491, epoch loss=0.928834 Batch=299, step=6300, lr=0.174000, batch loss=0.205803, epoch loss=1.134637 Batch=359, step=6360, lr=0.173750, batch loss=0.265731, epoch loss=1.400367 Batch=419, step=6420, lr=0.173500, batch loss=0.258546, epoch loss=1.658913 Batch=479, step=6480, lr=0.173250, batch loss=0.232518, epoch loss=1.891431 Batch=539, step=6540, lr=0.173000, batch loss=0.190223, epoch loss=2.081654 Batch=599, step=6600, lr=0.172750, batch loss=0.233801, epoch loss=2.315455 Batch=659, step=6660, lr=0.172250, batch loss=0.313878, epoch loss=2.629333 Batch=719, step=6720, lr=0.172250, batch loss=0.317210, epoch loss=2.946542 Batch=779, step=6780, lr=0.171750, batch loss=0.329327, epoch loss=3.275869 Batch=839, step=6840, lr=0.171500, batch loss=0.301731, epoch loss=3.577600 Batch=899, step=6900, lr=0.171250, batch loss=0.270384, epoch loss=3.847984 Batch=959, step=6960, lr=0.171250, batch loss=0.205622, epoch loss=4.053606 Batch=1019, step=7020, lr=0.170750, batch loss=0.333838, epoch loss=4.387444 Batch=1079, step=7080, lr=0.170500, batch loss=0.194280, epoch loss=4.581724 Batch=1139, step=7140, lr=0.170250, batch loss=0.232939, epoch loss=4.814663 Batch=1199, step=7200, lr=0.170000, batch loss=0.180973, epoch loss=4.995636 Epoch=5, step=7200, lr=0.170000, epoch loss=4.995636 Batch=59, step=7260, lr=0.170000, batch loss=0.219967, epoch loss=0.219967 Batch=119, step=7320, lr=0.169500, batch loss=0.180614, epoch loss=0.400581 Batch=179, step=7380, lr=0.169500, batch loss=0.195917, epoch loss=0.596498 Batch=239, step=7440, lr=0.169250, batch loss=0.292761, epoch loss=0.889259 Batch=299, step=7500, lr=0.168750, batch loss=0.206552, epoch loss=1.095811 Batch=359, step=7560, lr=0.168750, batch loss=0.262650, epoch loss=1.358461 Batch=419, step=7620, lr=0.168500, batch loss=0.255307, epoch loss=1.613768 Batch=479, step=7680, lr=0.168250, batch loss=0.239577, epoch loss=1.853344 Batch=539, step=7740, lr=0.168000, batch loss=0.185557, epoch loss=2.038901 Batch=599, step=7800, lr=0.167500, batch loss=0.225531, epoch loss=2.264432 Batch=659, step=7860, lr=0.167500, batch loss=0.305238, epoch loss=2.569670 Batch=719, step=7920, lr=0.167250, batch loss=0.310705, epoch loss=2.880374 Batch=779, step=7980, lr=0.166750, batch loss=0.330145, epoch loss=3.210519 Batch=839, step=8040, lr=0.166500, batch loss=0.293232, epoch loss=3.503752 Batch=899, step=8100, lr=0.166500, batch loss=0.263185, epoch loss=3.766937 Batch=959, step=8160, lr=0.166000, batch loss=0.198324, epoch loss=3.965261 Batch=1019, step=8220, lr=0.165750, batch loss=0.324780, epoch loss=4.290041 Batch=1079, step=8280, lr=0.165750, batch loss=0.187846, epoch loss=4.477888 Batch=1139, step=8340, lr=0.165250, batch loss=0.215256, epoch loss=4.693144 Batch=1199, step=8400, lr=0.165000, batch loss=0.172625, epoch loss=4.865769 Epoch=6, step=8400, lr=0.165000, epoch loss=4.865769 Batch=59, step=8460, lr=0.165000, batch loss=0.212777, epoch loss=0.212777 Batch=119, step=8520, lr=0.164750, batch loss=0.172439, epoch loss=0.385216 Batch=179, step=8580, lr=0.164250, batch loss=0.188662, epoch loss=0.573878 Batch=239, step=8640, lr=0.164000, batch loss=0.278124, epoch loss=0.852002 Batch=299, step=8700, lr=0.163750, batch loss=0.194572, epoch loss=1.046574 Batch=359, step=8760, lr=0.163750, batch loss=0.246823, epoch loss=1.293397 Batch=419, step=8820, lr=0.163250, batch loss=0.246237, epoch loss=1.539634 Batch=479, step=8880, lr=0.163250, batch loss=0.228824, epoch loss=1.768457 Batch=539, step=8940, lr=0.163000, batch loss=0.178653, epoch loss=1.947110 Batch=599, step=9000, lr=0.162500, batch loss=0.217913, epoch loss=2.165023 Batch=659, step=9060, lr=0.162500, batch loss=0.294550, epoch loss=2.459573 Batch=719, step=9120, lr=0.162250, batch loss=0.297175, epoch loss=2.756748 Batch=779, step=9180, lr=0.162000, batch loss=0.316594, epoch loss=3.073342 Batch=839, step=9240, lr=0.161750, batch loss=0.281460, epoch loss=3.354802 Batch=899, step=9300, lr=0.161500, batch loss=0.253833, epoch loss=3.608636 Batch=959, step=9360, lr=0.161250, batch loss=0.210191, epoch loss=3.818826 Batch=1019, step=9420, lr=0.160750, batch loss=0.298710, epoch loss=4.117537 Batch=1079, step=9480, lr=0.160750, batch loss=0.177253, epoch loss=4.294790 Batch=1139, step=9540, lr=0.160250, batch loss=0.204709, epoch loss=4.499498 Batch=1199, step=9600, lr=0.160000, batch loss=0.164747, epoch loss=4.664245 Epoch=7, step=9600, lr=0.160000, epoch loss=4.664245 Batch=59, step=9660, lr=0.159750, batch loss=0.197310, epoch loss=0.197310 Batch=119, step=9720, lr=0.159750, batch loss=0.166563, epoch loss=0.363873 Batch=179, step=9780, lr=0.159250, batch loss=0.179400, epoch loss=0.543273 Batch=239, step=9840, lr=0.159000, batch loss=0.261121, epoch loss=0.804394 Batch=299, step=9900, lr=0.158750, batch loss=0.187279, epoch loss=0.991672 Batch=359, step=9960, lr=0.158750, batch loss=0.242170, epoch loss=1.233842 Batch=419, step=10020, lr=0.158500, batch loss=0.231605, epoch loss=1.465447 Batch=479, step=10080, lr=0.158250, batch loss=0.215384, epoch loss=1.680832 Batch=539, step=10140, lr=0.158000, batch loss=0.169321, epoch loss=1.850153 Batch=599, step=10200, lr=0.157750, batch loss=0.203140, epoch loss=2.053293 Batch=659, step=10260, lr=0.157500, batch loss=0.281852, epoch loss=2.335145 Batch=719, step=10320, lr=0.157250, batch loss=0.279850, epoch loss=2.614995 Batch=779, step=10380, lr=0.157000, batch loss=0.300497, epoch loss=2.915492 Batch=839, step=10440, lr=0.156750, batch loss=0.271090, epoch loss=3.186582 Batch=899, step=10500, lr=0.156500, batch loss=0.239950, epoch loss=3.426532 Batch=959, step=10560, lr=0.156250, batch loss=0.198416, epoch loss=3.624948 Batch=1019, step=10620, lr=0.156000, batch loss=0.277637, epoch loss=3.902584 Batch=1079, step=10680, lr=0.155500, batch loss=0.150583, epoch loss=4.053167 Batch=1139, step=10740, lr=0.155250, batch loss=0.180483, epoch loss=4.233650 Batch=1199, step=10800, lr=0.155250, batch loss=0.163703, epoch loss=4.397353 Epoch=8, step=10800, lr=0.155250, epoch loss=4.397353 Batch=59, step=10860, lr=0.155000, batch loss=0.192425, epoch loss=0.192425 Batch=119, step=10920, lr=0.154500, batch loss=0.163641, epoch loss=0.356066 Batch=179, step=10980, lr=0.154500, batch loss=0.165955, epoch loss=0.522021 Batch=239, step=11040, lr=0.154250, batch loss=0.243334, epoch loss=0.765355 Batch=299, step=11100, lr=0.154000, batch loss=0.165698, epoch loss=0.931053 Batch=359, step=11160, lr=0.153750, batch loss=0.223515, epoch loss=1.154568 Batch=419, step=11220, lr=0.153500, batch loss=0.229780, epoch loss=1.384348 Batch=479, step=11280, lr=0.153250, batch loss=0.202489, epoch loss=1.586838 Batch=539, step=11340, lr=0.153000, batch loss=0.160507, epoch loss=1.747345 Batch=599, step=11400, lr=0.152750, batch loss=0.184400, epoch loss=1.931745 Batch=659, step=11460, lr=0.152500, batch loss=0.262172, epoch loss=2.193918 Batch=719, step=11520, lr=0.152250, batch loss=0.256648, epoch loss=2.450565 Batch=779, step=11580, lr=0.152000, batch loss=0.269535, epoch loss=2.720100 Batch=839, step=11640, lr=0.151750, batch loss=0.256918, epoch loss=2.977019 Batch=899, step=11700, lr=0.151500, batch loss=0.222917, epoch loss=3.199935 Batch=959, step=11760, lr=0.151250, batch loss=0.178951, epoch loss=3.378886 Batch=1019, step=11820, lr=0.151000, batch loss=0.265654, epoch loss=3.644540 Batch=1079, step=11880, lr=0.150750, batch loss=0.153295, epoch loss=3.797835 Batch=1139, step=11940, lr=0.150500, batch loss=0.185241, epoch loss=3.983076 Batch=1199, step=12000, lr=0.150000, batch loss=0.139136, epoch loss=4.122212 Epoch=9, step=12000, lr=0.150000, epoch loss=4.122212 Batch=59, step=12060, lr=0.150000, batch loss=0.158279, epoch loss=0.158279 Batch=119, step=12120, lr=0.149750, batch loss=0.127142, epoch loss=0.285421 Batch=179, step=12180, lr=0.149250, batch loss=0.151522, epoch loss=0.436944 Batch=239, step=12240, lr=0.149250, batch loss=0.218621, epoch loss=0.655565 Batch=299, step=12300, lr=0.149000, batch loss=0.139185, epoch loss=0.794749 Batch=359, step=12360, lr=0.148750, batch loss=0.197524, epoch loss=0.992273 Batch=419, step=12420, lr=0.148500, batch loss=0.211042, epoch loss=1.203315 Batch=479, step=12480, lr=0.148250, batch loss=0.174547, epoch loss=1.377862 Batch=539, step=12540, lr=0.147750, batch loss=0.143850, epoch loss=1.521712 Batch=599, step=12600, lr=0.147750, batch loss=0.153219, epoch loss=1.674932 Batch=659, step=12660, lr=0.147500, batch loss=0.235654, epoch loss=1.910585 Batch=719, step=12720, lr=0.147250, batch loss=0.233495, epoch loss=2.144081 Batch=779, step=12780, lr=0.147000, batch loss=0.262875, epoch loss=2.406956 Batch=839, step=12840, lr=0.146750, batch loss=0.231631, epoch loss=2.638587 Batch=899, step=12900, lr=0.146500, batch loss=0.207431, epoch loss=2.846018 Batch=959, step=12960, lr=0.146250, batch loss=0.160556, epoch loss=3.006574 Batch=1019, step=13020, lr=0.145750, batch loss=0.254117, epoch loss=3.260691 Batch=1079, step=13080, lr=0.145500, batch loss=0.117796, epoch loss=3.378487 Batch=1139, step=13140, lr=0.145250, batch loss=0.152581, epoch loss=3.531068 Batch=1199, step=13200, lr=0.145250, batch loss=0.117124, epoch loss=3.648192 Epoch=10, step=13200, lr=0.145250, epoch loss=3.648192 Batch=59, step=13260, lr=0.145000, batch loss=0.137351, epoch loss=0.137351 Batch=119, step=13320, lr=0.144750, batch loss=0.117124, epoch loss=0.254475 Batch=179, step=13380, lr=0.144500, batch loss=0.128404, epoch loss=0.382878 Batch=239, step=13440, lr=0.144250, batch loss=0.192995, epoch loss=0.575873 Batch=299, step=13500, lr=0.144000, batch loss=0.117055, epoch loss=0.692928 Batch=359, step=13560, lr=0.143750, batch loss=0.163347, epoch loss=0.856275 Batch=419, step=13620, lr=0.143500, batch loss=0.159572, epoch loss=1.015847 Batch=479, step=13680, lr=0.143250, batch loss=0.148170, epoch loss=1.164017 Batch=539, step=13740, lr=0.143000, batch loss=0.115605, epoch loss=1.279622 Batch=599, step=13800, lr=0.142750, batch loss=0.120762, epoch loss=1.400384 Batch=659, step=13860, lr=0.142500, batch loss=0.179331, epoch loss=1.579714 Batch=719, step=13920, lr=0.142000, batch loss=0.184320, epoch loss=1.764035 Batch=779, step=13980, lr=0.142000, batch loss=0.206932, epoch loss=1.970967 Batch=839, step=14040, lr=0.141750, batch loss=0.213711, epoch loss=2.184678 Batch=899, step=14100, lr=0.141250, batch loss=0.219139, epoch loss=2.403817 Batch=959, step=14160, lr=0.141000, batch loss=0.102203, epoch loss=2.506020 Batch=1019, step=14220, lr=0.141000, batch loss=0.197885, epoch loss=2.703905 Batch=1079, step=14280, lr=0.140750, batch loss=0.078209, epoch loss=2.782114 Batch=1139, step=14340, lr=0.140250, batch loss=0.120713, epoch loss=2.902827 Batch=1199, step=14400, lr=0.140000, batch loss=0.085494, epoch loss=2.988320 Epoch=11, step=14400, lr=0.140000, epoch loss=2.988320 Batch=59, step=14460, lr=0.139750, batch loss=0.107344, epoch loss=0.107344 Batch=119, step=14520, lr=0.139500, batch loss=0.105663, epoch loss=0.213007 Batch=179, step=14580, lr=0.139500, batch loss=0.100298, epoch loss=0.313305 Batch=239, step=14640, lr=0.139000, batch loss=0.142638, epoch loss=0.455943 Batch=299, step=14700, lr=0.138750, batch loss=0.074292, epoch loss=0.530235 Batch=359, step=14760, lr=0.138750, batch loss=0.122406, epoch loss=0.652641 Batch=419, step=14820, lr=0.138250, batch loss=0.129184, epoch loss=0.781825 Batch=479, step=14880, lr=0.138000, batch loss=0.103120, epoch loss=0.884945 Batch=539, step=14940, lr=0.138000, batch loss=0.118865, epoch loss=1.003810 Batch=599, step=15000, lr=0.137750, batch loss=0.084585, epoch loss=1.088395 Batch=659, step=15060, lr=0.137500, batch loss=0.138182, epoch loss=1.226577 Batch=719, step=15120, lr=0.137250, batch loss=0.167515, epoch loss=1.394092 Batch=779, step=15180, lr=0.137000, batch loss=0.264611, epoch loss=1.658703 Batch=839, step=15240, lr=0.136750, batch loss=0.138351, epoch loss=1.797053 Batch=899, step=15300, lr=0.136500, batch loss=0.150589, epoch loss=1.947642 Batch=959, step=15360, lr=0.136250, batch loss=0.072566, epoch loss=2.020208 Batch=1019, step=15420, lr=0.136000, batch loss=0.168795, epoch loss=2.189003 Batch=1079, step=15480, lr=0.135750, batch loss=0.037851, epoch loss=2.226854 Batch=1139, step=15540, lr=0.135500, batch loss=0.085279, epoch loss=2.312132 Batch=1199, step=15600, lr=0.135250, batch loss=0.054777, epoch loss=2.366910 Epoch=12, step=15600, lr=0.135250, epoch loss=2.366910 Batch=59, step=15660, lr=0.135000, batch loss=0.082923, epoch loss=0.082923 Batch=119, step=15720, lr=0.134750, batch loss=0.128897, epoch loss=0.211821 Batch=179, step=15780, lr=0.134500, batch loss=0.092175, epoch loss=0.303995 Batch=239, step=15840, lr=0.134250, batch loss=0.094275, epoch loss=0.398270 Batch=299, step=15900, lr=0.133750, batch loss=0.037889, epoch loss=0.436159 Batch=359, step=15960, lr=0.133500, batch loss=0.081276, epoch loss=0.517436 Batch=419, step=16020, lr=0.133250, batch loss=0.080831, epoch loss=0.598267 Batch=479, step=16080, lr=0.133000, batch loss=0.071676, epoch loss=0.669943 Batch=539, step=16140, lr=0.132750, batch loss=0.048369, epoch loss=0.718312 Batch=599, step=16200, lr=0.132500, batch loss=0.101871, epoch loss=0.820183 Batch=659, step=16260, lr=0.132250, batch loss=0.077023, epoch loss=0.897207 Batch=719, step=16320, lr=0.132250, batch loss=0.099079, epoch loss=0.996285 Batch=779, step=16380, lr=0.132000, batch loss=0.234735, epoch loss=1.231020 Batch=839, step=16440, lr=0.131500, batch loss=0.098918, epoch loss=1.329938 Batch=899, step=16500, lr=0.131250, batch loss=0.095262, epoch loss=1.425200 Batch=959, step=16560, lr=0.131250, batch loss=0.049313, epoch loss=1.474513 Batch=1019, step=16620, lr=0.130750, batch loss=0.128049, epoch loss=1.602562 Batch=1079, step=16680, lr=0.130750, batch loss=0.019881, epoch loss=1.622443 Batch=1139, step=16740, lr=0.130500, batch loss=0.043711, epoch loss=1.666154 Batch=1199, step=16800, lr=0.130250, batch loss=0.025986, epoch loss=1.692140 Epoch=13, step=16800, lr=0.130250, epoch loss=1.692140 Batch=59, step=16860, lr=0.130000, batch loss=0.034491, epoch loss=0.034491 Batch=119, step=16920, lr=0.129750, batch loss=0.052375, epoch loss=0.086865 Batch=179, step=16980, lr=0.129500, batch loss=0.046803, epoch loss=0.133668 Batch=239, step=17040, lr=0.129250, batch loss=0.076368, epoch loss=0.210036 Batch=299, step=17100, lr=0.128750, batch loss=0.079812, epoch loss=0.289848 Batch=359, step=17160, lr=0.128750, batch loss=0.051699, epoch loss=0.341547 Batch=419, step=17220, lr=0.128500, batch loss=0.051812, epoch loss=0.393359 Batch=479, step=17280, lr=0.128000, batch loss=0.031233, epoch loss=0.424592 Batch=539, step=17340, lr=0.127750, batch loss=0.056457, epoch loss=0.481049 Batch=599, step=17400, lr=0.127500, batch loss=0.035101, epoch loss=0.516149 Batch=659, step=17460, lr=0.127250, batch loss=0.048286, epoch loss=0.564435 Batch=719, step=17520, lr=0.127000, batch loss=0.058332, epoch loss=0.622767 Batch=779, step=17580, lr=0.126750, batch loss=0.125917, epoch loss=0.748684 Batch=839, step=17640, lr=0.126750, batch loss=0.095679, epoch loss=0.844363 Batch=899, step=17700, lr=0.126500, batch loss=0.134603, epoch loss=0.978966 Batch=959, step=17760, lr=0.126000, batch loss=0.020660, epoch loss=0.999626 Batch=1019, step=17820, lr=0.126000, batch loss=0.037764, epoch loss=1.037390 Batch=1079, step=17880, lr=0.125750, batch loss=0.008572, epoch loss=1.045962 Batch=1139, step=17940, lr=0.125250, batch loss=0.030310, epoch loss=1.076273 Batch=1199, step=18000, lr=0.125000, batch loss=0.014126, epoch loss=1.090398 Epoch=14, step=18000, lr=0.125000, epoch loss=1.090398 Batch=59, step=18060, lr=0.125000, batch loss=0.011005, epoch loss=0.011005 Batch=119, step=18120, lr=0.124750, batch loss=0.019492, epoch loss=0.030497 Batch=179, step=18180, lr=0.124250, batch loss=0.035294, epoch loss=0.065792 Batch=239, step=18240, lr=0.124000, batch loss=0.036498, epoch loss=0.102289 Batch=299, step=18300, lr=0.123750, batch loss=0.013555, epoch loss=0.115844 Batch=359, step=18360, lr=0.123500, batch loss=0.023612, epoch loss=0.139456 Batch=419, step=18420, lr=0.123250, batch loss=0.027292, epoch loss=0.166747 Batch=479, step=18480, lr=0.123250, batch loss=0.024555, epoch loss=0.191302 Batch=539, step=18540, lr=0.123000, batch loss=0.052570, epoch loss=0.243873 Batch=599, step=18600, lr=0.122750, batch loss=0.026242, epoch loss=0.270115 Batch=659, step=18660, lr=0.122500, batch loss=0.032303, epoch loss=0.302417 Batch=719, step=18720, lr=0.122250, batch loss=0.045765, epoch loss=0.348183 Batch=779, step=18780, lr=0.122000, batch loss=0.113185, epoch loss=0.461367 Batch=839, step=18840, lr=0.121500, batch loss=0.053028, epoch loss=0.514395 Batch=899, step=18900, lr=0.121500, batch loss=0.052872, epoch loss=0.567267 Batch=959, step=18960, lr=0.121000, batch loss=0.014992, epoch loss=0.582259 Batch=1019, step=19020, lr=0.120750, batch loss=0.021051, epoch loss=0.603309 Batch=1079, step=19080, lr=0.120750, batch loss=0.010152, epoch loss=0.613461 Batch=1139, step=19140, lr=0.120250, batch loss=0.022856, epoch loss=0.636317 Batch=1199, step=19200, lr=0.120000, batch loss=0.008956, epoch loss=0.645273 Epoch=15, step=19200, lr=0.120000, epoch loss=0.645273 Batch=59, step=19260, lr=0.120000, batch loss=0.004195, epoch loss=0.004195 Batch=119, step=19320, lr=0.119500, batch loss=0.021744, epoch loss=0.025938 Batch=179, step=19380, lr=0.119250, batch loss=0.069027, epoch loss=0.094966 Batch=239, step=19440, lr=0.119250, batch loss=0.027886, epoch loss=0.122851 Batch=299, step=19500, lr=0.119000, batch loss=0.010361, epoch loss=0.133212 Batch=359, step=19560, lr=0.118750, batch loss=0.024144, epoch loss=0.157356 Batch=419, step=19620, lr=0.118500, batch loss=0.020838, epoch loss=0.178194 Batch=479, step=19680, lr=0.118250, batch loss=0.006869, epoch loss=0.185063 Batch=539, step=19740, lr=0.118000, batch loss=0.017851, epoch loss=0.202913 Batch=599, step=19800, lr=0.117750, batch loss=0.021721, epoch loss=0.224634 Batch=659, step=19860, lr=0.117500, batch loss=0.016866, epoch loss=0.241501 Batch=719, step=19920, lr=0.117250, batch loss=0.031111, epoch loss=0.272612 Batch=779, step=19980, lr=0.117000, batch loss=0.064424, epoch loss=0.337036 Batch=839, step=20040, lr=0.116750, batch loss=0.031472, epoch loss=0.368508 Batch=899, step=20100, lr=0.116500, batch loss=0.030715, epoch loss=0.399223 Batch=959, step=20160, lr=0.116250, batch loss=0.016541, epoch loss=0.415764 Batch=1019, step=20220, lr=0.116000, batch loss=0.017441, epoch loss=0.433204 Batch=1079, step=20280, lr=0.115750, batch loss=0.002336, epoch loss=0.435540 Batch=1139, step=20340, lr=0.115500, batch loss=0.015405, epoch loss=0.450945 Batch=1199, step=20400, lr=0.115000, batch loss=0.007747, epoch loss=0.458692 Epoch=16, step=20400, lr=0.115000, epoch loss=0.458692 Batch=59, step=20460, lr=0.115000, batch loss=0.003901, epoch loss=0.003901 Batch=119, step=20520, lr=0.114500, batch loss=0.009477, epoch loss=0.013378 Batch=179, step=20580, lr=0.114250, batch loss=0.021646, epoch loss=0.035024 Batch=239, step=20640, lr=0.114000, batch loss=0.017259, epoch loss=0.052283 Batch=299, step=20700, lr=0.114000, batch loss=0.005199, epoch loss=0.057482 Batch=359, step=20760, lr=0.113750, batch loss=0.014042, epoch loss=0.071524 Batch=419, step=20820, lr=0.113500, batch loss=0.014750, epoch loss=0.086274 Batch=479, step=20880, lr=0.113250, batch loss=0.004703, epoch loss=0.090978 Batch=539, step=20940, lr=0.113000, batch loss=0.015383, epoch loss=0.106361 Batch=599, step=21000, lr=0.112500, batch loss=0.018776, epoch loss=0.125137 Batch=659, step=21060, lr=0.112250, batch loss=0.015097, epoch loss=0.140234 Batch=719, step=21120, lr=0.112250, batch loss=0.042341, epoch loss=0.182575 Batch=779, step=21180, lr=0.112000, batch loss=0.072450, epoch loss=0.255025 Batch=839, step=21240, lr=0.111750, batch loss=0.025906, epoch loss=0.280931 Batch=899, step=21300, lr=0.111500, batch loss=0.026938, epoch loss=0.307869 Batch=959, step=21360, lr=0.111250, batch loss=0.009664, epoch loss=0.317534 Batch=1019, step=21420, lr=0.111000, batch loss=0.009484, epoch loss=0.327017 Batch=1079, step=21480, lr=0.110750, batch loss=0.002689, epoch loss=0.329706 Batch=1139, step=21540, lr=0.110500, batch loss=0.012621, epoch loss=0.342327 Batch=1199, step=21600, lr=0.110250, batch loss=0.005046, epoch loss=0.347373 Epoch=17, step=21600, lr=0.110250, epoch loss=0.347373 Batch=59, step=21660, lr=0.110000, batch loss=0.001928, epoch loss=0.001928 Batch=119, step=21720, lr=0.109500, batch loss=0.006630, epoch loss=0.008558 Batch=179, step=21780, lr=0.109250, batch loss=0.013054, epoch loss=0.021612 Batch=239, step=21840, lr=0.109000, batch loss=0.010936, epoch loss=0.032548 Batch=299, step=21900, lr=0.109000, batch loss=0.013296, epoch loss=0.045845 Batch=359, step=21960, lr=0.108750, batch loss=0.012493, epoch loss=0.058338 Batch=419, step=22020, lr=0.108500, batch loss=0.012861, epoch loss=0.071198 Batch=479, step=22080, lr=0.108250, batch loss=0.002652, epoch loss=0.073850 Batch=539, step=22140, lr=0.108000, batch loss=0.016195, epoch loss=0.090046 Batch=599, step=22200, lr=0.107500, batch loss=0.015380, epoch loss=0.105426 Batch=659, step=22260, lr=0.107500, batch loss=0.011364, epoch loss=0.116789 Batch=719, step=22320, lr=0.107250, batch loss=0.020619, epoch loss=0.137408 Batch=779, step=22380, lr=0.106750, batch loss=0.030298, epoch loss=0.167706 Batch=839, step=22440, lr=0.106750, batch loss=0.029054, epoch loss=0.196760 Batch=899, step=22500, lr=0.106500, batch loss=0.024964, epoch loss=0.221724 Batch=959, step=22560, lr=0.106250, batch loss=0.008847, epoch loss=0.230571 Batch=1019, step=22620, lr=0.105750, batch loss=0.009424, epoch loss=0.239995 Batch=1079, step=22680, lr=0.105500, batch loss=0.001583, epoch loss=0.241578 Batch=1139, step=22740, lr=0.105500, batch loss=0.011148, epoch loss=0.252726 Batch=1199, step=22800, lr=0.105250, batch loss=0.005249, epoch loss=0.257974 Epoch=18, step=22800, lr=0.105250, epoch loss=0.257974 Batch=59, step=22860, lr=0.105000, batch loss=0.002377, epoch loss=0.002377 Batch=119, step=22920, lr=0.104750, batch loss=0.004958, epoch loss=0.007335 Batch=179, step=22980, lr=0.104500, batch loss=0.012521, epoch loss=0.019856 Batch=239, step=23040, lr=0.104250, batch loss=0.009602, epoch loss=0.029458 Batch=299, step=23100, lr=0.104000, batch loss=0.000947, epoch loss=0.030405 Batch=359, step=23160, lr=0.103750, batch loss=0.011058, epoch loss=0.041463 Batch=419, step=23220, lr=0.103500, batch loss=0.010046, epoch loss=0.051509 Batch=479, step=23280, lr=0.103250, batch loss=0.002205, epoch loss=0.053714 Batch=539, step=23340, lr=0.103000, batch loss=0.016327, epoch loss=0.070041 Batch=599, step=23400, lr=0.102750, batch loss=0.013509, epoch loss=0.083550 Batch=659, step=23460, lr=0.102500, batch loss=0.011846, epoch loss=0.095396 Batch=719, step=23520, lr=0.102000, batch loss=0.019266, epoch loss=0.114662 Batch=779, step=23580, lr=0.101750, batch loss=0.026049, epoch loss=0.140711 Batch=839, step=23640, lr=0.101500, batch loss=0.026269, epoch loss=0.166981 Batch=899, step=23700, lr=0.101250, batch loss=0.022039, epoch loss=0.189019 Batch=959, step=23760, lr=0.101250, batch loss=0.007990, epoch loss=0.197009 Batch=1019, step=23820, lr=0.100750, batch loss=0.008331, epoch loss=0.205340 Batch=1079, step=23880, lr=0.100750, batch loss=0.000543, epoch loss=0.205883 Batch=1139, step=23940, lr=0.100250, batch loss=0.009469, epoch loss=0.215352 Batch=1199, step=24000, lr=0.100250, batch loss=0.004444, epoch loss=0.219797 Epoch=19, step=24000, lr=0.100250, epoch loss=0.219797 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**************..******************#*######*#******************************.........│ │*******##*##**##***********..........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 14:57.15 ---> saved as "0f3bc047d06e549b4ed55e3e95e46bf1c17049b11c87a56f22348facd50d7499" Job succeeded 2025-03-21 14:57.16: Job succeeded