2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (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 451f36ee 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 2025-03-20 22:51.40: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c-debian-11-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 22:51.40: 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")) ) 2025-03-20 22:51.40: Waiting for resource in pool OCluster 2025-03-20 22:51.40: Waiting for worker… 2025-03-20 22:53.28: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings (from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c) 2025-03-20 22:53.29 ---> using "b4f3e3a5063982bbc841035e188663009352cabdae6127a84a77b2b1e7746a9c" from cache /: (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")) 2025-03-20 22:53.29 ---> using "837909cf357dbef762753eebac80775e6de312510185f4ca5a6cecd3ae4cd0bf" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 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 2025-03-20 22:53.29 ---> using "126754616a0883edf73855301c586b0218900498f80d24bfe653bbe0af0fda41" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-20 22:53.29 ---> using "f1a850b0d0b34fa431f0064c7e811f48129c9a3c72bcf8cfd6026d2ea544afa4" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:53.29 ---> using "2ee37b392ed39ae65bd872720b58ef9daa42c6c50406b47cee7e065de030dfee" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:53.29 ---> using "43eed9b2620af14dda9b17d57d927cf8f18cd27565b6b6e5db1da1dd96506c0c" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:53.29 ---> using "ca85100046af1e50532c2ca4856e0a98d658d0e0cf42bca9e269b56b67b3760a" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 22:53.29 ---> using "b4d20779886cc71bdc29ec05383e522e1d56dc9ed4bfbb528d4505bc9dae75aa" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:53.29 ---> using "982883279bbcd56d744d11a295c330d66a69f7e69854a69db155d33f41682f48" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "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 (939 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) ... 2025-03-20 22:53.29 ---> using "82c76151faf9ece368b0c5d5e078fb86b2e2adef0f4f6af7107a2d3e1614702b" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved 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 ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (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 dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_sexp_conv.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 ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved ppxlib.0.35.0 (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 cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed 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 angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> 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 ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_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 22:53.29 ---> using "39cbaa7b5803dc3a7980c5e931437b8332532397d7cfd69b50234e8fb09894c4" from cache /src: (copy (src .) (dst /src)) 2025-03-20 22:53.30 ---> saved as "e46f59c2b100b315abd89d72813ac9d20e955b416788d4c6e3ee6bf89e4fb786" /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/98d53ce195fa6953cbbd3d92980d54d7/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/98d53ce195fa6953cbbd3d92980d54d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/98d53ce195fa6953cbbd3d92980d54d7/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/59b6a8e6b35dd632e90684ebcfdb9073/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/98d53ce195fa6953cbbd3d92980d54d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/98d53ce195fa6953cbbd3d92980d54d7/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/98d53ce195fa6953cbbd3d92980d54d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/98d53ce195fa6953cbbd3d92980d54d7/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/98d53ce195fa6953cbbd3d92980d54d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/98d53ce195fa6953cbbd3d92980d54d7/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/98d53ce195fa6953cbbd3d92980d54d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/98d53ce195fa6953cbbd3d92980d54d7/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/98d53ce195fa6953cbbd3d92980d54d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/98d53ce195fa6953cbbd3d92980d54d7/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/98d53ce195fa6953cbbd3d92980d54d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/98d53ce195fa6953cbbd3d92980d54d7/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/98d53ce195fa6953cbbd3d92980d54d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/98d53ce195fa6953cbbd3d92980d54d7/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/98d53ce195fa6953cbbd3d92980d54d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/98d53ce195fa6953cbbd3d92980d54d7/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/98d53ce195fa6953cbbd3d92980d54d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199000, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.198750, batch loss=1.445660, epoch loss=37.070699 Batch=359, step=360, lr=0.198500, batch loss=1.328803, epoch loss=38.399502 Batch=419, step=420, lr=0.198500, batch loss=0.618540, epoch loss=39.018042 Batch=479, step=480, lr=0.198000, batch loss=0.823006, epoch loss=39.841048 Batch=539, step=540, lr=0.198000, batch loss=0.688539, epoch loss=40.529586 Batch=599, step=600, lr=0.197750, batch loss=1.066821, epoch loss=41.596407 Batch=659, step=660, lr=0.197500, batch loss=0.483107, epoch loss=42.079514 Batch=719, step=720, lr=0.197250, batch loss=0.411361, epoch loss=42.490875 Batch=779, step=780, lr=0.196750, batch loss=0.468906, epoch loss=42.959781 Batch=839, step=840, lr=0.196750, batch loss=0.443279, epoch loss=43.403060 Batch=899, step=900, lr=0.196250, batch loss=0.383792, epoch loss=43.786853 Batch=959, step=960, lr=0.196000, batch loss=0.237421, epoch loss=44.024273 Batch=1019, step=1020, lr=0.195750, batch loss=0.440185, epoch loss=44.464458 Batch=1079, step=1080, lr=0.195750, batch loss=0.229595, epoch loss=44.694053 Batch=1139, step=1140, lr=0.195250, batch loss=0.315168, epoch loss=45.009221 Batch=1199, step=1200, lr=0.195000, batch loss=0.263332, epoch loss=45.272553 Epoch=0, step=1200, lr=0.195000, epoch loss=45.272553 Batch=59, step=1260, lr=0.194750, batch loss=0.262478, epoch loss=0.262478 Batch=119, step=1320, lr=0.194500, batch loss=0.205438, epoch loss=0.467916 Batch=179, step=1380, lr=0.194500, batch loss=0.243171, epoch loss=0.711087 Batch=239, step=1440, lr=0.194000, batch loss=0.345563, epoch loss=1.056650 Batch=299, step=1500, lr=0.193750, batch loss=0.240531, epoch loss=1.297181 Batch=359, step=1560, lr=0.193500, batch loss=0.312431, epoch loss=1.609613 Batch=419, step=1620, lr=0.193250, batch loss=0.309361, epoch loss=1.918974 Batch=479, step=1680, lr=0.193000, batch loss=0.276021, epoch loss=2.194995 Batch=539, step=1740, lr=0.192750, batch loss=0.212044, epoch loss=2.407039 Batch=599, step=1800, lr=0.192500, batch loss=0.250918, epoch loss=2.657958 Batch=659, step=1860, lr=0.192250, batch loss=0.369238, epoch loss=3.027195 Batch=719, step=1920, lr=0.192000, batch loss=0.362360, epoch loss=3.389555 Batch=779, step=1980, lr=0.191750, batch loss=0.380604, epoch loss=3.770159 Batch=839, step=2040, lr=0.191750, batch loss=0.343580, epoch loss=4.113739 Batch=899, step=2100, lr=0.191250, batch loss=0.319223, epoch loss=4.432963 Batch=959, step=2160, lr=0.191250, batch loss=0.262801, epoch loss=4.695764 Batch=1019, step=2220, lr=0.191000, batch loss=0.423338, epoch loss=5.119102 Batch=1079, step=2280, lr=0.190500, batch loss=0.238643, epoch loss=5.357745 Batch=1139, step=2340, lr=0.190250, batch loss=0.275903, epoch loss=5.633648 Batch=1199, step=2400, lr=0.190250, batch loss=0.212634, epoch loss=5.846282 Epoch=1, step=2400, lr=0.190250, epoch loss=5.846282 Batch=59, step=2460, lr=0.189750, batch loss=0.234650, epoch loss=0.234650 Batch=119, step=2520, lr=0.189500, batch loss=0.195193, epoch loss=0.429843 Batch=179, step=2580, lr=0.189500, batch loss=0.222190, epoch loss=0.652033 Batch=239, step=2640, lr=0.189000, batch loss=0.329367, epoch loss=0.981400 Batch=299, step=2700, lr=0.188750, batch loss=0.203575, epoch loss=1.184975 Batch=359, step=2760, lr=0.188750, batch loss=0.288768, epoch loss=1.473743 Batch=419, step=2820, lr=0.188500, batch loss=0.280907, epoch loss=1.754650 Batch=479, step=2880, lr=0.188000, batch loss=0.252663, epoch loss=2.007313 Batch=539, step=2940, lr=0.188000, batch loss=0.192519, epoch loss=2.199833 Batch=599, step=3000, lr=0.187500, batch loss=0.225604, epoch loss=2.425437 Batch=659, step=3060, lr=0.187250, batch loss=0.332544, epoch loss=2.757981 Batch=719, step=3120, lr=0.187250, batch loss=0.335445, epoch loss=3.093426 Batch=779, step=3180, lr=0.187000, batch loss=0.354436, epoch loss=3.447862 Batch=839, step=3240, lr=0.186500, batch loss=0.330674, epoch loss=3.778536 Batch=899, step=3300, lr=0.186500, batch loss=0.297506, epoch loss=4.076042 Batch=959, step=3360, lr=0.186250, batch loss=0.236459, epoch loss=4.312501 Batch=1019, step=3420, lr=0.186000, batch loss=0.349278, epoch loss=4.661778 Batch=1079, step=3480, lr=0.185750, batch loss=0.213337, epoch loss=4.875116 Batch=1139, step=3540, lr=0.185500, batch loss=0.260776, epoch loss=5.135891 Batch=1199, step=3600, lr=0.185250, batch loss=0.200033, epoch loss=5.335924 Epoch=2, step=3600, lr=0.185250, epoch loss=5.335924 Batch=59, step=3660, lr=0.184750, batch loss=0.222889, epoch loss=0.222889 Batch=119, step=3720, lr=0.184750, batch loss=0.184280, epoch loss=0.407169 Batch=179, step=3780, lr=0.184500, batch loss=0.212231, epoch loss=0.619400 Batch=239, step=3840, lr=0.184250, batch loss=0.315985, epoch loss=0.935385 Batch=299, step=3900, lr=0.184000, batch loss=0.203762, epoch loss=1.139147 Batch=359, step=3960, lr=0.183750, batch loss=0.282341, epoch loss=1.421489 Batch=419, step=4020, lr=0.183250, batch loss=0.272609, epoch loss=1.694098 Batch=479, step=4080, lr=0.183250, batch loss=0.248084, epoch loss=1.942182 Batch=539, step=4140, lr=0.182750, batch loss=0.195023, epoch loss=2.137205 Batch=599, step=4200, lr=0.182750, batch loss=0.239812, epoch loss=2.377016 Batch=659, step=4260, lr=0.182500, batch loss=0.329700, epoch loss=2.706716 Batch=719, step=4320, lr=0.182250, batch loss=0.329249, epoch loss=3.035965 Batch=779, step=4380, lr=0.182000, batch loss=0.352242, epoch loss=3.388207 Batch=839, step=4440, lr=0.181750, batch loss=0.318789, epoch loss=3.706996 Batch=899, step=4500, lr=0.181500, batch loss=0.292323, epoch loss=3.999318 Batch=959, step=4560, lr=0.181250, batch loss=0.242127, epoch loss=4.241445 Batch=1019, step=4620, lr=0.181000, batch loss=0.339728, epoch loss=4.581173 Batch=1079, step=4680, lr=0.180750, batch loss=0.196833, epoch loss=4.778006 Batch=1139, step=4740, lr=0.180500, batch loss=0.231688, epoch loss=5.009695 Batch=1199, step=4800, lr=0.180250, batch loss=0.191178, epoch loss=5.200872 Epoch=3, step=4800, lr=0.180250, epoch loss=5.200872 Batch=59, step=4860, lr=0.180000, batch loss=0.222917, epoch loss=0.222917 Batch=119, step=4920, lr=0.179750, batch loss=0.187539, epoch loss=0.410455 Batch=179, step=4980, lr=0.179500, batch loss=0.206078, epoch loss=0.616533 Batch=239, step=5040, lr=0.179250, batch loss=0.308729, epoch loss=0.925262 Batch=299, step=5100, lr=0.179000, batch loss=0.206189, epoch loss=1.131452 Batch=359, step=5160, lr=0.178750, batch loss=0.275401, epoch loss=1.406853 Batch=419, step=5220, lr=0.178500, batch loss=0.265734, epoch loss=1.672587 Batch=479, step=5280, lr=0.178250, batch loss=0.241573, epoch loss=1.914160 Batch=539, step=5340, lr=0.178000, batch loss=0.194725, epoch loss=2.108885 Batch=599, step=5400, lr=0.177750, batch loss=0.236175, epoch loss=2.345060 Batch=659, step=5460, lr=0.177500, batch loss=0.321527, epoch loss=2.666588 Batch=719, step=5520, lr=0.177250, batch loss=0.323837, epoch loss=2.990425 Batch=779, step=5580, lr=0.177000, batch loss=0.340610, epoch loss=3.331035 Batch=839, step=5640, lr=0.176750, batch loss=0.311843, epoch loss=3.642879 Batch=899, step=5700, lr=0.176500, batch loss=0.270940, epoch loss=3.913819 Batch=959, step=5760, lr=0.176250, batch loss=0.220629, epoch loss=4.134448 Batch=1019, step=5820, lr=0.176000, batch loss=0.332847, epoch loss=4.467295 Batch=1079, step=5880, lr=0.175500, batch loss=0.181599, epoch loss=4.648894 Batch=1139, step=5940, lr=0.175500, batch loss=0.217586, epoch loss=4.866480 Batch=1199, step=6000, lr=0.175000, batch loss=0.199707, epoch loss=5.066187 Epoch=4, step=6000, lr=0.175000, epoch loss=5.066187 Batch=59, step=6060, lr=0.174750, batch loss=0.244210, epoch loss=0.244210 Batch=119, step=6120, lr=0.174750, batch loss=0.187079, epoch loss=0.431289 Batch=179, step=6180, lr=0.174500, batch loss=0.200172, epoch loss=0.631461 Batch=239, step=6240, lr=0.174250, batch loss=0.300253, epoch loss=0.931713 Batch=299, step=6300, lr=0.174000, batch loss=0.213560, epoch loss=1.145273 Batch=359, step=6360, lr=0.173750, batch loss=0.271829, epoch loss=1.417102 Batch=419, step=6420, lr=0.173500, batch loss=0.265424, epoch loss=1.682526 Batch=479, step=6480, lr=0.173250, batch loss=0.245499, epoch loss=1.928025 Batch=539, step=6540, lr=0.173000, batch loss=0.192988, epoch loss=2.121014 Batch=599, step=6600, lr=0.172750, batch loss=0.237276, epoch loss=2.358290 Batch=659, step=6660, lr=0.172500, batch loss=0.311552, epoch loss=2.669842 Batch=719, step=6720, lr=0.172250, batch loss=0.312592, epoch loss=2.982434 Batch=779, step=6780, lr=0.172000, batch loss=0.331944, epoch loss=3.314379 Batch=839, step=6840, lr=0.171750, batch loss=0.303902, epoch loss=3.618280 Batch=899, step=6900, lr=0.171250, batch loss=0.267419, epoch loss=3.885699 Batch=959, step=6960, lr=0.171000, batch loss=0.207087, epoch loss=4.092786 Batch=1019, step=7020, lr=0.171000, batch loss=0.325492, epoch loss=4.418279 Batch=1079, step=7080, lr=0.170750, batch loss=0.175870, epoch loss=4.594149 Batch=1139, step=7140, lr=0.170500, batch loss=0.213208, epoch loss=4.807357 Batch=1199, step=7200, lr=0.170250, batch loss=0.187104, epoch loss=4.994460 Epoch=5, step=7200, lr=0.170250, epoch loss=4.994460 Batch=59, step=7260, lr=0.170000, batch loss=0.232304, epoch loss=0.232304 Batch=119, step=7320, lr=0.169750, batch loss=0.184341, epoch loss=0.416644 Batch=179, step=7380, lr=0.169500, batch loss=0.195221, epoch loss=0.611866 Batch=239, step=7440, lr=0.169250, batch loss=0.290120, epoch loss=0.901986 Batch=299, step=7500, lr=0.169000, batch loss=0.194066, epoch loss=1.096051 Batch=359, step=7560, lr=0.168500, batch loss=0.257000, epoch loss=1.353052 Batch=419, step=7620, lr=0.168500, batch loss=0.251732, epoch loss=1.604783 Batch=479, step=7680, lr=0.168250, batch loss=0.227892, epoch loss=1.832675 Batch=539, step=7740, lr=0.168000, batch loss=0.185256, epoch loss=2.017932 Batch=599, step=7800, lr=0.167750, batch loss=0.217768, epoch loss=2.235699 Batch=659, step=7860, lr=0.167500, batch loss=0.306659, epoch loss=2.542358 Batch=719, step=7920, lr=0.167250, batch loss=0.306194, epoch loss=2.848552 Batch=779, step=7980, lr=0.166750, batch loss=0.322122, epoch loss=3.170675 Batch=839, step=8040, lr=0.166750, batch loss=0.295703, epoch loss=3.466378 Batch=899, step=8100, lr=0.166500, batch loss=0.259446, epoch loss=3.725824 Batch=959, step=8160, lr=0.166250, batch loss=0.199005, epoch loss=3.924828 Batch=1019, step=8220, lr=0.166000, batch loss=0.323524, epoch loss=4.248352 Batch=1079, step=8280, lr=0.165750, batch loss=0.192413, epoch loss=4.440765 Batch=1139, step=8340, lr=0.165500, batch loss=0.217537, epoch loss=4.658302 Batch=1199, step=8400, lr=0.165250, batch loss=0.173671, epoch loss=4.831973 Epoch=6, step=8400, lr=0.165250, epoch loss=4.831973 Batch=59, step=8460, lr=0.165000, batch loss=0.209248, epoch loss=0.209248 Batch=119, step=8520, lr=0.164750, batch loss=0.173792, epoch loss=0.383039 Batch=179, step=8580, lr=0.164500, batch loss=0.187976, epoch loss=0.571015 Batch=239, step=8640, lr=0.164250, batch loss=0.278765, epoch loss=0.849780 Batch=299, step=8700, lr=0.164000, batch loss=0.190475, epoch loss=1.040255 Batch=359, step=8760, lr=0.163750, batch loss=0.250034, epoch loss=1.290289 Batch=419, step=8820, lr=0.163500, batch loss=0.244299, epoch loss=1.534588 Batch=479, step=8880, lr=0.163250, batch loss=0.227624, epoch loss=1.762212 Batch=539, step=8940, lr=0.163000, batch loss=0.179616, epoch loss=1.941828 Batch=599, step=9000, lr=0.162750, batch loss=0.217031, epoch loss=2.158859 Batch=659, step=9060, lr=0.162500, batch loss=0.293061, epoch loss=2.451920 Batch=719, step=9120, lr=0.162250, batch loss=0.297448, epoch loss=2.749368 Batch=779, step=9180, lr=0.162000, batch loss=0.314348, epoch loss=3.063716 Batch=839, step=9240, lr=0.161750, batch loss=0.282481, epoch loss=3.346197 Batch=899, step=9300, lr=0.161500, batch loss=0.252785, epoch loss=3.598983 Batch=959, step=9360, lr=0.161250, batch loss=0.188872, epoch loss=3.787855 Batch=1019, step=9420, lr=0.161000, batch loss=0.319258, epoch loss=4.107112 Batch=1079, step=9480, lr=0.160750, batch loss=0.185520, epoch loss=4.292632 Batch=1139, step=9540, lr=0.160500, batch loss=0.207026, epoch loss=4.499659 Batch=1199, step=9600, lr=0.160250, batch loss=0.166311, epoch loss=4.665970 Epoch=7, step=9600, lr=0.160250, epoch loss=4.665970 Batch=59, step=9660, lr=0.160000, batch loss=0.202689, epoch loss=0.202689 Batch=119, step=9720, lr=0.159750, batch loss=0.169444, epoch loss=0.372134 Batch=179, step=9780, lr=0.159500, batch loss=0.180317, epoch loss=0.552450 Batch=239, step=9840, lr=0.159250, batch loss=0.268429, epoch loss=0.820879 Batch=299, step=9900, lr=0.159000, batch loss=0.184907, epoch loss=1.005786 Batch=359, step=9960, lr=0.158750, batch loss=0.239864, epoch loss=1.245650 Batch=419, step=10020, lr=0.158500, batch loss=0.233777, epoch loss=1.479427 Batch=479, step=10080, lr=0.158250, batch loss=0.220380, epoch loss=1.699807 Batch=539, step=10140, lr=0.158000, batch loss=0.170352, epoch loss=1.870159 Batch=599, step=10200, lr=0.157750, batch loss=0.203506, epoch loss=2.073665 Batch=659, step=10260, lr=0.157500, batch loss=0.281526, epoch loss=2.355191 Batch=719, step=10320, lr=0.157250, batch loss=0.280463, epoch loss=2.635654 Batch=779, step=10380, lr=0.157000, batch loss=0.300653, epoch loss=2.936307 Batch=839, step=10440, lr=0.156750, batch loss=0.271494, epoch loss=3.207801 Batch=899, step=10500, lr=0.156500, batch loss=0.241120, epoch loss=3.448922 Batch=959, step=10560, lr=0.156250, batch loss=0.197589, epoch loss=3.646511 Batch=1019, step=10620, lr=0.156000, batch loss=0.281794, epoch loss=3.928304 Batch=1079, step=10680, lr=0.155750, batch loss=0.159625, epoch loss=4.087929 Batch=1139, step=10740, lr=0.155500, batch loss=0.189313, epoch loss=4.277242 Batch=1199, step=10800, lr=0.155250, batch loss=0.155564, epoch loss=4.432806 Epoch=8, step=10800, lr=0.155250, epoch loss=4.432806 Batch=59, step=10860, lr=0.155000, batch loss=0.177810, epoch loss=0.177810 Batch=119, step=10920, lr=0.154750, batch loss=0.151179, epoch loss=0.328989 Batch=179, step=10980, lr=0.154500, batch loss=0.166284, epoch loss=0.495273 Batch=239, step=11040, lr=0.154250, batch loss=0.244581, epoch loss=0.739855 Batch=299, step=11100, lr=0.154000, batch loss=0.167814, epoch loss=0.907669 Batch=359, step=11160, lr=0.153750, batch loss=0.223378, epoch loss=1.131047 Batch=419, step=11220, lr=0.153250, batch loss=0.230529, epoch loss=1.361576 Batch=479, step=11280, lr=0.153250, batch loss=0.203348, epoch loss=1.564924 Batch=539, step=11340, lr=0.153000, batch loss=0.160786, epoch loss=1.725710 Batch=599, step=11400, lr=0.152750, batch loss=0.185007, epoch loss=1.910718 Batch=659, step=11460, lr=0.152500, batch loss=0.264563, epoch loss=2.175280 Batch=719, step=11520, lr=0.152000, batch loss=0.259893, epoch loss=2.435173 Batch=779, step=11580, lr=0.152000, batch loss=0.271287, epoch loss=2.706460 Batch=839, step=11640, lr=0.151750, batch loss=0.252420, epoch loss=2.958880 Batch=899, step=11700, lr=0.151500, batch loss=0.218959, epoch loss=3.177839 Batch=959, step=11760, lr=0.151250, batch loss=0.173661, epoch loss=3.351500 Batch=1019, step=11820, lr=0.151000, batch loss=0.262033, epoch loss=3.613533 Batch=1079, step=11880, lr=0.150750, batch loss=0.141374, epoch loss=3.754908 Batch=1139, step=11940, lr=0.150500, batch loss=0.175097, epoch loss=3.930005 Batch=1199, step=12000, lr=0.150250, batch loss=0.139803, epoch loss=4.069808 Epoch=9, step=12000, lr=0.150250, epoch loss=4.069808 Batch=59, step=12060, lr=0.150000, batch loss=0.163441, epoch loss=0.163441 Batch=119, step=12120, lr=0.149750, batch loss=0.136973, epoch loss=0.300414 Batch=179, step=12180, lr=0.149500, batch loss=0.151690, epoch loss=0.452105 Batch=239, step=12240, lr=0.149250, batch loss=0.220845, epoch loss=0.672950 Batch=299, step=12300, lr=0.149000, batch loss=0.143713, epoch loss=0.816662 Batch=359, step=12360, lr=0.148750, batch loss=0.199753, epoch loss=1.016416 Batch=419, step=12420, lr=0.148500, batch loss=0.206663, epoch loss=1.223079 Batch=479, step=12480, lr=0.148250, batch loss=0.181725, epoch loss=1.404804 Batch=539, step=12540, lr=0.148000, batch loss=0.143163, epoch loss=1.547967 Batch=599, step=12600, lr=0.147750, batch loss=0.151826, epoch loss=1.699793 Batch=659, step=12660, lr=0.147500, batch loss=0.226475, epoch loss=1.926268 Batch=719, step=12720, lr=0.147250, batch loss=0.237435, epoch loss=2.163703 Batch=779, step=12780, lr=0.147000, batch loss=0.256889, epoch loss=2.420592 Batch=839, step=12840, lr=0.146750, batch loss=0.228890, epoch loss=2.649482 Batch=899, step=12900, lr=0.146500, batch loss=0.191787, epoch loss=2.841268 Batch=959, step=12960, lr=0.146250, batch loss=0.162166, epoch loss=3.003434 Batch=1019, step=13020, lr=0.146000, batch loss=0.264186, epoch loss=3.267620 Batch=1079, step=13080, lr=0.145750, batch loss=0.118609, epoch loss=3.386229 Batch=1139, step=13140, lr=0.145500, batch loss=0.156184, epoch loss=3.542414 Batch=1199, step=13200, lr=0.145250, batch loss=0.119275, epoch loss=3.661689 Epoch=10, step=13200, lr=0.145250, epoch loss=3.661689 Batch=59, step=13260, lr=0.145000, batch loss=0.139631, epoch loss=0.139631 Batch=119, step=13320, lr=0.144750, batch loss=0.118423, epoch loss=0.258054 Batch=179, step=13380, lr=0.144500, batch loss=0.129011, epoch loss=0.387065 Batch=239, step=13440, lr=0.144250, batch loss=0.185832, epoch loss=0.572896 Batch=299, step=13500, lr=0.144000, batch loss=0.121237, epoch loss=0.694134 Batch=359, step=13560, lr=0.143750, batch loss=0.163667, epoch loss=0.857801 Batch=419, step=13620, lr=0.143500, batch loss=0.162098, epoch loss=1.019899 Batch=479, step=13680, lr=0.143250, batch loss=0.148428, epoch loss=1.168326 Batch=539, step=13740, lr=0.143000, batch loss=0.119657, epoch loss=1.287984 Batch=599, step=13800, lr=0.142750, batch loss=0.122317, epoch loss=1.410301 Batch=659, step=13860, lr=0.142500, batch loss=0.178907, epoch loss=1.589208 Batch=719, step=13920, lr=0.142250, batch loss=0.174277, epoch loss=1.763485 Batch=779, step=13980, lr=0.142000, batch loss=0.182757, epoch loss=1.946242 Batch=839, step=14040, lr=0.141750, batch loss=0.202859, epoch loss=2.149101 Batch=899, step=14100, lr=0.141500, batch loss=0.216929, epoch loss=2.366030 Batch=959, step=14160, lr=0.141250, batch loss=0.106955, epoch loss=2.472986 Batch=1019, step=14220, lr=0.141000, batch loss=0.194657, epoch loss=2.667642 Batch=1079, step=14280, lr=0.140750, batch loss=0.088933, epoch loss=2.756576 Batch=1139, step=14340, lr=0.140500, batch loss=0.141541, epoch loss=2.898116 Batch=1199, step=14400, lr=0.140250, batch loss=0.090749, epoch loss=2.988866 Epoch=11, step=14400, lr=0.140250, epoch loss=2.988866 Batch=59, step=14460, lr=0.140000, batch loss=0.116039, epoch loss=0.116039 Batch=119, step=14520, lr=0.139750, batch loss=0.111765, epoch loss=0.227804 Batch=179, step=14580, lr=0.139500, batch loss=0.105453, epoch loss=0.333257 Batch=239, step=14640, lr=0.139250, batch loss=0.141038, epoch loss=0.474295 Batch=299, step=14700, lr=0.139000, batch loss=0.083814, epoch loss=0.558109 Batch=359, step=14760, lr=0.138750, batch loss=0.122809, epoch loss=0.680919 Batch=419, step=14820, lr=0.138500, batch loss=0.134081, epoch loss=0.815000 Batch=479, step=14880, lr=0.138250, batch loss=0.102078, epoch loss=0.917077 Batch=539, step=14940, lr=0.138000, batch loss=0.102613, epoch loss=1.019690 Batch=599, step=15000, lr=0.137750, batch loss=0.085834, epoch loss=1.105525 Batch=659, step=15060, lr=0.137500, batch loss=0.129747, epoch loss=1.235272 Batch=719, step=15120, lr=0.137250, batch loss=0.125934, epoch loss=1.361206 Batch=779, step=15180, lr=0.137000, batch loss=0.127978, epoch loss=1.489184 Batch=839, step=15240, lr=0.136750, batch loss=0.161869, epoch loss=1.651053 Batch=899, step=15300, lr=0.136500, batch loss=0.289934, epoch loss=1.940987 Batch=959, step=15360, lr=0.136250, batch loss=0.063396, epoch loss=2.004383 Batch=1019, step=15420, lr=0.136000, batch loss=0.145791, epoch loss=2.150174 Batch=1079, step=15480, lr=0.135750, batch loss=0.046608, epoch loss=2.196782 Batch=1139, step=15540, lr=0.135500, batch loss=0.110970, epoch loss=2.307752 Batch=1199, step=15600, lr=0.135250, batch loss=0.061962, epoch loss=2.369714 Epoch=12, step=15600, lr=0.135250, epoch loss=2.369714 Batch=59, step=15660, lr=0.135000, batch loss=0.086380, epoch loss=0.086380 Batch=119, step=15720, lr=0.134500, batch loss=0.138661, epoch loss=0.225041 Batch=179, step=15780, lr=0.134500, batch loss=0.101251, epoch loss=0.326291 Batch=239, step=15840, lr=0.134250, batch loss=0.101273, epoch loss=0.427564 Batch=299, step=15900, lr=0.134000, batch loss=0.046149, epoch loss=0.473713 Batch=359, step=15960, lr=0.133750, batch loss=0.084117, epoch loss=0.557830 Batch=419, step=16020, lr=0.133500, batch loss=0.081644, epoch loss=0.639474 Batch=479, step=16080, lr=0.133250, batch loss=0.064859, epoch loss=0.704333 Batch=539, step=16140, lr=0.133000, batch loss=0.057068, epoch loss=0.761401 Batch=599, step=16200, lr=0.132500, batch loss=0.107441, epoch loss=0.868842 Batch=659, step=16260, lr=0.132500, batch loss=0.080465, epoch loss=0.949307 Batch=719, step=16320, lr=0.132250, batch loss=0.086984, epoch loss=1.036291 Batch=779, step=16380, lr=0.131750, batch loss=0.102212, epoch loss=1.138504 Batch=839, step=16440, lr=0.131750, batch loss=0.123677, epoch loss=1.262180 Batch=899, step=16500, lr=0.131500, batch loss=0.138889, epoch loss=1.401069 Batch=959, step=16560, lr=0.131250, batch loss=0.054286, epoch loss=1.455355 Batch=1019, step=16620, lr=0.130750, batch loss=0.131130, epoch loss=1.586485 Batch=1079, step=16680, lr=0.130750, batch loss=0.020960, epoch loss=1.607445 Batch=1139, step=16740, lr=0.130500, batch loss=0.046699, epoch loss=1.654144 Batch=1199, step=16800, lr=0.130250, batch loss=0.027779, epoch loss=1.681923 Epoch=13, step=16800, lr=0.130250, epoch loss=1.681923 Batch=59, step=16860, lr=0.130000, batch loss=0.039307, epoch loss=0.039307 Batch=119, step=16920, lr=0.129750, batch loss=0.075383, epoch loss=0.114691 Batch=179, step=16980, lr=0.129500, batch loss=0.056344, epoch loss=0.171034 Batch=239, step=17040, lr=0.129250, batch loss=0.061191, epoch loss=0.232225 Batch=299, step=17100, lr=0.129000, batch loss=0.019607, epoch loss=0.251832 Batch=359, step=17160, lr=0.128750, batch loss=0.045722, epoch loss=0.297554 Batch=419, step=17220, lr=0.128500, batch loss=0.049982, epoch loss=0.347536 Batch=479, step=17280, lr=0.128250, batch loss=0.029613, epoch loss=0.377149 Batch=539, step=17340, lr=0.128000, batch loss=0.058645, epoch loss=0.435794 Batch=599, step=17400, lr=0.127750, batch loss=0.035377, epoch loss=0.471171 Batch=659, step=17460, lr=0.127500, batch loss=0.047778, epoch loss=0.518949 Batch=719, step=17520, lr=0.127250, batch loss=0.039195, epoch loss=0.558144 Batch=779, step=17580, lr=0.127000, batch loss=0.040679, epoch loss=0.598823 Batch=839, step=17640, lr=0.126750, batch loss=0.061089, epoch loss=0.659912 Batch=899, step=17700, lr=0.126500, batch loss=0.071954, epoch loss=0.731866 Batch=959, step=17760, lr=0.126250, batch loss=0.038569, epoch loss=0.770435 Batch=1019, step=17820, lr=0.125750, batch loss=0.098087, epoch loss=0.868522 Batch=1079, step=17880, lr=0.125750, batch loss=0.018509, epoch loss=0.887031 Batch=1139, step=17940, lr=0.125500, batch loss=0.046393, epoch loss=0.933424 Batch=1199, step=18000, lr=0.125250, batch loss=0.018752, epoch loss=0.952176 Epoch=14, step=18000, lr=0.125250, epoch loss=0.952176 Batch=59, step=18060, lr=0.125000, batch loss=0.012434, epoch loss=0.012434 Batch=119, step=18120, lr=0.124750, batch loss=0.019394, epoch loss=0.031827 Batch=179, step=18180, lr=0.124500, batch loss=0.030020, epoch loss=0.061847 Batch=239, step=18240, lr=0.124250, batch loss=0.033221, epoch loss=0.095068 Batch=299, step=18300, lr=0.124000, batch loss=0.011467, epoch loss=0.106536 Batch=359, step=18360, lr=0.123750, batch loss=0.025813, epoch loss=0.132349 Batch=419, step=18420, lr=0.123500, batch loss=0.030193, epoch loss=0.162542 Batch=479, step=18480, lr=0.123250, batch loss=0.015826, epoch loss=0.178369 Batch=539, step=18540, lr=0.123000, batch loss=0.021820, epoch loss=0.200189 Batch=599, step=18600, lr=0.122750, batch loss=0.027579, epoch loss=0.227768 Batch=659, step=18660, lr=0.122500, batch loss=0.028789, epoch loss=0.256556 Batch=719, step=18720, lr=0.122250, batch loss=0.061327, epoch loss=0.317883 Batch=779, step=18780, lr=0.122000, batch loss=0.038045, epoch loss=0.355928 Batch=839, step=18840, lr=0.121750, batch loss=0.067184, epoch loss=0.423112 Batch=899, step=18900, lr=0.121500, batch loss=0.038031, epoch loss=0.461142 Batch=959, step=18960, lr=0.121250, batch loss=0.012937, epoch loss=0.474079 Batch=1019, step=19020, lr=0.121000, batch loss=0.019878, epoch loss=0.493957 Batch=1079, step=19080, lr=0.120750, batch loss=0.018811, epoch loss=0.512769 Batch=1139, step=19140, lr=0.120500, batch loss=0.038535, epoch loss=0.551304 Batch=1199, step=19200, lr=0.120250, batch loss=0.012810, epoch loss=0.564114 Epoch=15, step=19200, lr=0.120250, epoch loss=0.564114 Batch=59, step=19260, lr=0.120000, batch loss=0.009725, epoch loss=0.009725 Batch=119, step=19320, lr=0.119750, batch loss=0.024162, epoch loss=0.033887 Batch=179, step=19380, lr=0.119500, batch loss=0.076288, epoch loss=0.110174 Batch=239, step=19440, lr=0.119250, batch loss=0.032707, epoch loss=0.142881 Batch=299, step=19500, lr=0.119000, batch loss=0.011869, epoch loss=0.154750 Batch=359, step=19560, lr=0.118750, batch loss=0.024563, epoch loss=0.179313 Batch=419, step=19620, lr=0.118500, batch loss=0.020773, epoch loss=0.200086 Batch=479, step=19680, lr=0.118250, batch loss=0.007679, epoch loss=0.207766 Batch=539, step=19740, lr=0.118000, batch loss=0.017132, epoch loss=0.224897 Batch=599, step=19800, lr=0.117750, batch loss=0.023765, epoch loss=0.248662 Batch=659, step=19860, lr=0.117500, batch loss=0.020867, epoch loss=0.269529 Batch=719, step=19920, lr=0.117250, batch loss=0.045208, epoch loss=0.314737 Batch=779, step=19980, lr=0.117000, batch loss=0.085757, epoch loss=0.400494 Batch=839, step=20040, lr=0.116750, batch loss=0.033598, epoch loss=0.434091 Batch=899, step=20100, lr=0.116500, batch loss=0.028640, epoch loss=0.462732 Batch=959, step=20160, lr=0.116250, batch loss=0.016686, epoch loss=0.479418 Batch=1019, step=20220, lr=0.116000, batch loss=0.021330, epoch loss=0.500748 Batch=1079, step=20280, lr=0.115750, batch loss=0.004491, epoch loss=0.505239 Batch=1139, step=20340, lr=0.115500, batch loss=0.016846, epoch loss=0.522085 Batch=1199, step=20400, lr=0.115250, batch loss=0.007057, epoch loss=0.529142 Epoch=16, step=20400, lr=0.115250, epoch loss=0.529142 Batch=59, step=20460, lr=0.115000, batch loss=0.003169, epoch loss=0.003169 Batch=119, step=20520, lr=0.114750, batch loss=0.009332, epoch loss=0.012502 Batch=179, step=20580, lr=0.114500, batch loss=0.020236, epoch loss=0.032738 Batch=239, step=20640, lr=0.114250, batch loss=0.021294, epoch loss=0.054031 Batch=299, step=20700, lr=0.114000, batch loss=0.010268, epoch loss=0.064299 Batch=359, step=20760, lr=0.113750, batch loss=0.014902, epoch loss=0.079202 Batch=419, step=20820, lr=0.113500, batch loss=0.015622, epoch loss=0.094823 Batch=479, step=20880, lr=0.113250, batch loss=0.003357, epoch loss=0.098181 Batch=539, step=20940, lr=0.113000, batch loss=0.016871, epoch loss=0.115052 Batch=599, step=21000, lr=0.112750, batch loss=0.019648, epoch loss=0.134700 Batch=659, step=21060, lr=0.112500, batch loss=0.014992, epoch loss=0.149692 Batch=719, step=21120, lr=0.112250, batch loss=0.033358, epoch loss=0.183049 Batch=779, step=21180, lr=0.112000, batch loss=0.055692, epoch loss=0.238742 Batch=839, step=21240, lr=0.111750, batch loss=0.025224, epoch loss=0.263965 Batch=899, step=21300, lr=0.111500, batch loss=0.023688, epoch loss=0.287654 Batch=959, step=21360, lr=0.111250, batch loss=0.013057, epoch loss=0.300710 Batch=1019, step=21420, lr=0.111000, batch loss=0.017476, epoch loss=0.318186 Batch=1079, step=21480, lr=0.110750, batch loss=0.000865, epoch loss=0.319051 Batch=1139, step=21540, lr=0.110250, batch loss=0.011489, epoch loss=0.330540 Batch=1199, step=21600, lr=0.110250, batch loss=0.005606, epoch loss=0.336146 Epoch=17, step=21600, lr=0.110250, epoch loss=0.336146 Batch=59, step=21660, lr=0.110000, batch loss=0.002513, epoch loss=0.002513 Batch=119, step=21720, lr=0.109750, batch loss=0.006896, epoch loss=0.009409 Batch=179, step=21780, lr=0.109500, batch loss=0.012707, epoch loss=0.022116 Batch=239, step=21840, lr=0.109250, batch loss=0.010261, epoch loss=0.032377 Batch=299, step=21900, lr=0.109000, batch loss=0.010219, epoch loss=0.042596 Batch=359, step=21960, lr=0.108750, batch loss=0.014659, epoch loss=0.057255 Batch=419, step=22020, lr=0.108500, batch loss=0.012769, epoch loss=0.070024 Batch=479, step=22080, lr=0.108250, batch loss=0.003093, epoch loss=0.073117 Batch=539, step=22140, lr=0.108000, batch loss=0.016960, epoch loss=0.090077 Batch=599, step=22200, lr=0.107750, batch loss=0.015345, epoch loss=0.105422 Batch=659, step=22260, lr=0.107500, batch loss=0.011135, epoch loss=0.116557 Batch=719, step=22320, lr=0.107000, batch loss=0.018399, epoch loss=0.134957 Batch=779, step=22380, lr=0.107000, batch loss=0.023230, epoch loss=0.158186 Batch=839, step=22440, lr=0.106750, batch loss=0.026021, epoch loss=0.184207 Batch=899, step=22500, lr=0.106500, batch loss=0.027105, epoch loss=0.211312 Batch=959, step=22560, lr=0.106250, batch loss=0.008855, epoch loss=0.220168 Batch=1019, step=22620, lr=0.106000, batch loss=0.008333, epoch loss=0.228501 Batch=1079, step=22680, lr=0.105750, batch loss=0.001173, epoch loss=0.229674 Batch=1139, step=22740, lr=0.105500, batch loss=0.010045, epoch loss=0.239719 Batch=1199, step=22800, lr=0.105250, batch loss=0.005017, epoch loss=0.244736 Epoch=18, step=22800, lr=0.105250, epoch loss=0.244736 Batch=59, step=22860, lr=0.105000, batch loss=0.001974, epoch loss=0.001974 Batch=119, step=22920, lr=0.104750, batch loss=0.005430, epoch loss=0.007405 Batch=179, step=22980, lr=0.104500, batch loss=0.011118, epoch loss=0.018523 Batch=239, step=23040, lr=0.104250, batch loss=0.008543, epoch loss=0.027066 Batch=299, step=23100, lr=0.104000, batch loss=0.008526, epoch loss=0.035592 Batch=359, step=23160, lr=0.103750, batch loss=0.011691, epoch loss=0.047283 Batch=419, step=23220, lr=0.103500, batch loss=0.010467, epoch loss=0.057749 Batch=479, step=23280, lr=0.103250, batch loss=0.002499, epoch loss=0.060248 Batch=539, step=23340, lr=0.103000, batch loss=0.017345, epoch loss=0.077593 Batch=599, step=23400, lr=0.102750, batch loss=0.013791, epoch loss=0.091384 Batch=659, step=23460, lr=0.102500, batch loss=0.010323, epoch loss=0.101707 Batch=719, step=23520, lr=0.102250, batch loss=0.017203, epoch loss=0.118909 Batch=779, step=23580, lr=0.102000, batch loss=0.021831, epoch loss=0.140740 Batch=839, step=23640, lr=0.101750, batch loss=0.024299, epoch loss=0.165039 Batch=899, step=23700, lr=0.101500, batch loss=0.024176, epoch loss=0.189215 Batch=959, step=23760, lr=0.101250, batch loss=0.008313, epoch loss=0.197529 Batch=1019, step=23820, lr=0.101000, batch loss=0.007469, epoch loss=0.204998 Batch=1079, step=23880, lr=0.100750, batch loss=0.001144, epoch loss=0.206142 Batch=1139, step=23940, lr=0.100500, batch loss=0.008577, epoch loss=0.214719 Batch=1199, step=24000, lr=0.100250, batch loss=0.004571, epoch loss=0.219290 Epoch=19, step=24000, lr=0.100250, epoch loss=0.219290 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#********************************.......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##**********...........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%.........**************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:55.05 ---> saved as "85ad6e16a85b65ab34a173f01dd28e1735407486b6972873fa5187451ee5eb99" Job succeeded 2025-03-20 22:55.06: Job succeeded