2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (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 f6ea3750 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 15:22.29: 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 15:22.29: 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 15:22.29: Waiting for resource in pool OCluster 2025-03-21 15:22.29: Waiting for worker… 2025-03-21 15:23.36: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN) (from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c) 2025-03-21 15:24.23 ---> 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 15:24.24 ---> 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 15:26.18 ---> 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 15:26.19 ---> saved as "f1a850b0d0b34fa431f0064c7e811f48129c9a3c72bcf8cfd6026d2ea544afa4" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 15:26.19 ---> 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 15:28.01 ---> saved as "43eed9b2620af14dda9b17d57d927cf8f18cd27565b6b6e5db1da1dd96506c0c" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 15:28.03 ---> 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 15:28.11 ---> saved as "b4d20779886cc71bdc29ec05383e522e1d56dc9ed4bfbb528d4505bc9dae75aa" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 15:28.12 ---> 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 2s (269 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 15:29.07 ---> 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 bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved 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_expect.v0.17.2 (cached) -> retrieved ppx_deriving.6.0.3 (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_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (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 saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed 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_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 re.1.12.0 -> installed integers.0.7.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed saturn_lockfree.0.5.0 -> installed cppo.1.8.0 -> 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 variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 15:33.39 ---> saved as "39cbaa7b5803dc3a7980c5e931437b8332532397d7cfd69b50234e8fb09894c4" /src: (copy (src .) (dst /src)) 2025-03-21 15:33.42 ---> saved as "488d4a0d71fac3064fde746c6f85726e89450962a62f2da26b9703a53039258d" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/fb173e2db6e2f5f1293a4535ddf0304c/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/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=0.199000, batch loss=1.437143, epoch loss=37.063240 Batch=359, step=360, lr=0.198750, batch loss=1.338851, epoch loss=38.402091 Batch=419, step=420, lr=0.198500, batch loss=0.611321, epoch loss=39.013412 Batch=479, step=480, lr=0.198250, batch loss=0.745907, epoch loss=39.759319 Batch=539, step=540, lr=0.197750, batch loss=0.690502, epoch loss=40.449821 Batch=599, step=600, lr=0.197750, batch loss=1.100005, epoch loss=41.549826 Batch=659, step=660, lr=0.197250, batch loss=0.482082, epoch loss=42.031908 Batch=719, step=720, lr=0.197250, batch loss=0.410689, epoch loss=42.442597 Batch=779, step=780, lr=0.196750, batch loss=0.468841, epoch loss=42.911438 Batch=839, step=840, lr=0.196750, batch loss=0.450591, epoch loss=43.362029 Batch=899, step=900, lr=0.196250, batch loss=0.383706, epoch loss=43.745734 Batch=959, step=960, lr=0.196250, batch loss=0.267160, epoch loss=44.012894 Batch=1019, step=1020, lr=0.196000, batch loss=0.488853, epoch loss=44.501747 Batch=1079, step=1080, lr=0.195750, batch loss=0.263890, epoch loss=44.765637 Batch=1139, step=1140, lr=0.195250, batch loss=0.331865, epoch loss=45.097502 Batch=1199, step=1200, lr=0.195000, batch loss=0.264869, epoch loss=45.362371 Epoch=0, step=1200, lr=0.195000, epoch loss=45.362371 Batch=59, step=1260, lr=0.194750, batch loss=0.263115, epoch loss=0.263115 Batch=119, step=1320, lr=0.194500, batch loss=0.203727, epoch loss=0.466842 Batch=179, step=1380, lr=0.194500, batch loss=0.247184, epoch loss=0.714026 Batch=239, step=1440, lr=0.194250, batch loss=0.350154, epoch loss=1.064180 Batch=299, step=1500, lr=0.194000, batch loss=0.239006, epoch loss=1.303186 Batch=359, step=1560, lr=0.193500, batch loss=0.317255, epoch loss=1.620441 Batch=419, step=1620, lr=0.193500, batch loss=0.313325, epoch loss=1.933766 Batch=479, step=1680, lr=0.193250, batch loss=0.276231, epoch loss=2.209997 Batch=539, step=1740, lr=0.193000, batch loss=0.210290, epoch loss=2.420287 Batch=599, step=1800, lr=0.192500, batch loss=0.244968, epoch loss=2.665256 Batch=659, step=1860, lr=0.192500, batch loss=0.358457, epoch loss=3.023713 Batch=719, step=1920, lr=0.192000, batch loss=0.354728, epoch loss=3.378441 Batch=779, step=1980, lr=0.191750, batch loss=0.377810, epoch loss=3.756251 Batch=839, step=2040, lr=0.191750, batch loss=0.341201, epoch loss=4.097452 Batch=899, step=2100, lr=0.191500, batch loss=0.295917, epoch loss=4.393369 Batch=959, step=2160, lr=0.191000, batch loss=0.215276, epoch loss=4.608645 Batch=1019, step=2220, lr=0.191000, batch loss=0.328053, epoch loss=4.936698 Batch=1079, step=2280, lr=0.190750, batch loss=0.195753, epoch loss=5.132451 Batch=1139, step=2340, lr=0.190250, batch loss=0.256794, epoch loss=5.389245 Batch=1199, step=2400, lr=0.190250, batch loss=0.212117, epoch loss=5.601362 Epoch=1, step=2400, lr=0.190250, epoch loss=5.601362 Batch=59, step=2460, lr=0.190000, batch loss=0.230557, epoch loss=0.230557 Batch=119, step=2520, lr=0.189750, batch loss=0.199179, epoch loss=0.429736 Batch=179, step=2580, lr=0.189250, batch loss=0.219554, epoch loss=0.649289 Batch=239, step=2640, lr=0.189000, batch loss=0.328325, epoch loss=0.977614 Batch=299, step=2700, lr=0.189000, batch loss=0.215447, epoch loss=1.193061 Batch=359, step=2760, lr=0.188750, batch loss=0.295179, epoch loss=1.488239 Batch=419, step=2820, lr=0.188250, batch loss=0.286808, epoch loss=1.775047 Batch=479, step=2880, lr=0.188000, batch loss=0.262095, epoch loss=2.037143 Batch=539, step=2940, lr=0.188000, batch loss=0.204589, epoch loss=2.241731 Batch=599, step=3000, lr=0.187750, batch loss=0.251896, epoch loss=2.493627 Batch=659, step=3060, lr=0.187500, batch loss=0.348496, epoch loss=2.842123 Batch=719, step=3120, lr=0.187250, batch loss=0.347848, epoch loss=3.189972 Batch=779, step=3180, lr=0.186750, batch loss=0.365466, epoch loss=3.555438 Batch=839, step=3240, lr=0.186750, batch loss=0.325446, epoch loss=3.880884 Batch=899, step=3300, lr=0.186500, batch loss=0.290486, epoch loss=4.171370 Batch=959, step=3360, lr=0.186250, batch loss=0.223491, epoch loss=4.394861 Batch=1019, step=3420, lr=0.186000, batch loss=0.349402, epoch loss=4.744263 Batch=1079, step=3480, lr=0.185750, batch loss=0.222013, epoch loss=4.966276 Batch=1139, step=3540, lr=0.185500, batch loss=0.264931, epoch loss=5.231208 Batch=1199, step=3600, lr=0.185250, batch loss=0.200845, epoch loss=5.432053 Epoch=2, step=3600, lr=0.185250, epoch loss=5.432053 Batch=59, step=3660, lr=0.185000, batch loss=0.227293, epoch loss=0.227293 Batch=119, step=3720, lr=0.184750, batch loss=0.189011, epoch loss=0.416304 Batch=179, step=3780, lr=0.184500, batch loss=0.213558, epoch loss=0.629861 Batch=239, step=3840, lr=0.184250, batch loss=0.317675, epoch loss=0.947536 Batch=299, step=3900, lr=0.184000, batch loss=0.204491, epoch loss=1.152027 Batch=359, step=3960, lr=0.183750, batch loss=0.290054, epoch loss=1.442081 Batch=419, step=4020, lr=0.183500, batch loss=0.274552, epoch loss=1.716633 Batch=479, step=4080, lr=0.183250, batch loss=0.258555, epoch loss=1.975188 Batch=539, step=4140, lr=0.183000, batch loss=0.196577, epoch loss=2.171765 Batch=599, step=4200, lr=0.182750, batch loss=0.240287, epoch loss=2.412052 Batch=659, step=4260, lr=0.182500, batch loss=0.330727, epoch loss=2.742779 Batch=719, step=4320, lr=0.182250, batch loss=0.330380, epoch loss=3.073159 Batch=779, step=4380, lr=0.182000, batch loss=0.352044, epoch loss=3.425203 Batch=839, step=4440, lr=0.181750, batch loss=0.320860, epoch loss=3.746063 Batch=899, step=4500, lr=0.181500, batch loss=0.292394, epoch loss=4.038457 Batch=959, step=4560, lr=0.181250, batch loss=0.244782, epoch loss=4.283239 Batch=1019, step=4620, lr=0.181000, batch loss=0.358087, epoch loss=4.641326 Batch=1079, step=4680, lr=0.180750, batch loss=0.204325, epoch loss=4.845650 Batch=1139, step=4740, lr=0.180500, batch loss=0.242790, epoch loss=5.088440 Batch=1199, step=4800, lr=0.180250, batch loss=0.192970, epoch loss=5.281410 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281410 Batch=59, step=4860, lr=0.180000, batch loss=0.230336, epoch loss=0.230336 Batch=119, step=4920, lr=0.179750, batch loss=0.189154, epoch loss=0.419490 Batch=179, step=4980, lr=0.179500, batch loss=0.206938, epoch loss=0.626428 Batch=239, step=5040, lr=0.179250, batch loss=0.310317, epoch loss=0.936744 Batch=299, step=5100, lr=0.179000, batch loss=0.213655, epoch loss=1.150400 Batch=359, step=5160, lr=0.178750, batch loss=0.278299, epoch loss=1.428699 Batch=419, step=5220, lr=0.178500, batch loss=0.279502, epoch loss=1.708201 Batch=479, step=5280, lr=0.178250, batch loss=0.250746, epoch loss=1.958947 Batch=539, step=5340, lr=0.178000, batch loss=0.196532, epoch loss=2.155478 Batch=599, step=5400, lr=0.177750, batch loss=0.241375, epoch loss=2.396854 Batch=659, step=5460, lr=0.177500, batch loss=0.319571, epoch loss=2.716425 Batch=719, step=5520, lr=0.177250, batch loss=0.321407, epoch loss=3.037832 Batch=779, step=5580, lr=0.177000, batch loss=0.344972, epoch loss=3.382804 Batch=839, step=5640, lr=0.176750, batch loss=0.309902, epoch loss=3.692706 Batch=899, step=5700, lr=0.176500, batch loss=0.273053, epoch loss=3.965759 Batch=959, step=5760, lr=0.176250, batch loss=0.214464, epoch loss=4.180223 Batch=1019, step=5820, lr=0.176000, batch loss=0.338537, epoch loss=4.518760 Batch=1079, step=5880, lr=0.175750, batch loss=0.203420, epoch loss=4.722180 Batch=1139, step=5940, lr=0.175500, batch loss=0.241437, epoch loss=4.963617 Batch=1199, step=6000, lr=0.175250, batch loss=0.188533, epoch loss=5.152150 Epoch=4, step=6000, lr=0.175250, epoch loss=5.152150 Batch=59, step=6060, lr=0.175000, batch loss=0.232309, epoch loss=0.232309 Batch=119, step=6120, lr=0.174750, batch loss=0.186707, epoch loss=0.419016 Batch=179, step=6180, lr=0.174500, batch loss=0.202787, epoch loss=0.621803 Batch=239, step=6240, lr=0.174250, batch loss=0.300979, epoch loss=0.922783 Batch=299, step=6300, lr=0.174000, batch loss=0.197604, epoch loss=1.120387 Batch=359, step=6360, lr=0.173750, batch loss=0.265023, epoch loss=1.385410 Batch=419, step=6420, lr=0.173500, batch loss=0.259554, epoch loss=1.644965 Batch=479, step=6480, lr=0.173250, batch loss=0.235206, epoch loss=1.880170 Batch=539, step=6540, lr=0.173000, batch loss=0.185976, epoch loss=2.066146 Batch=599, step=6600, lr=0.172750, batch loss=0.229910, epoch loss=2.296056 Batch=659, step=6660, lr=0.172500, batch loss=0.316650, epoch loss=2.612707 Batch=719, step=6720, lr=0.172250, batch loss=0.316280, epoch loss=2.928987 Batch=779, step=6780, lr=0.172000, batch loss=0.332449, epoch loss=3.261436 Batch=839, step=6840, lr=0.171750, batch loss=0.305513, epoch loss=3.566949 Batch=899, step=6900, lr=0.171500, batch loss=0.266653, epoch loss=3.833602 Batch=959, step=6960, lr=0.171250, batch loss=0.213415, epoch loss=4.047017 Batch=1019, step=7020, lr=0.171000, batch loss=0.322766, epoch loss=4.369783 Batch=1079, step=7080, lr=0.170750, batch loss=0.178559, epoch loss=4.548342 Batch=1139, step=7140, lr=0.170500, batch loss=0.214931, epoch loss=4.763273 Batch=1199, step=7200, lr=0.170000, batch loss=0.184814, epoch loss=4.948086 Epoch=5, step=7200, lr=0.170000, epoch loss=4.948086 Batch=59, step=7260, lr=0.170000, batch loss=0.237717, epoch loss=0.237717 Batch=119, step=7320, lr=0.169750, batch loss=0.182098, epoch loss=0.419815 Batch=179, step=7380, lr=0.169500, batch loss=0.195977, epoch loss=0.615792 Batch=239, step=7440, lr=0.169250, batch loss=0.296014, epoch loss=0.911806 Batch=299, step=7500, lr=0.168750, batch loss=0.201912, epoch loss=1.113718 Batch=359, step=7560, lr=0.168750, batch loss=0.259185, epoch loss=1.372904 Batch=419, step=7620, lr=0.168250, batch loss=0.259385, epoch loss=1.632288 Batch=479, step=7680, lr=0.168000, batch loss=0.236263, epoch loss=1.868551 Batch=539, step=7740, lr=0.167750, batch loss=0.190064, epoch loss=2.058615 Batch=599, step=7800, lr=0.167750, batch loss=0.227371, epoch loss=2.285986 Batch=659, step=7860, lr=0.167250, batch loss=0.306293, epoch loss=2.592279 Batch=719, step=7920, lr=0.167000, batch loss=0.310827, epoch loss=2.903106 Batch=779, step=7980, lr=0.166750, batch loss=0.331698, epoch loss=3.234804 Batch=839, step=8040, lr=0.166500, batch loss=0.291741, epoch loss=3.526546 Batch=899, step=8100, lr=0.166500, batch loss=0.255120, epoch loss=3.781666 Batch=959, step=8160, lr=0.166250, batch loss=0.192728, epoch loss=3.974393 Batch=1019, step=8220, lr=0.165750, batch loss=0.284135, epoch loss=4.258528 Batch=1079, step=8280, lr=0.165500, batch loss=0.169239, epoch loss=4.427767 Batch=1139, step=8340, lr=0.165250, batch loss=0.206306, epoch loss=4.634073 Batch=1199, step=8400, lr=0.165250, batch loss=0.176942, epoch loss=4.811016 Epoch=6, step=8400, lr=0.165250, epoch loss=4.811016 Batch=59, step=8460, lr=0.164750, batch loss=0.224117, epoch loss=0.224117 Batch=119, step=8520, lr=0.164500, batch loss=0.180964, epoch loss=0.405081 Batch=179, step=8580, lr=0.164250, batch loss=0.186948, epoch loss=0.592029 Batch=239, step=8640, lr=0.164000, batch loss=0.277643, epoch loss=0.869672 Batch=299, step=8700, lr=0.163750, batch loss=0.185266, epoch loss=1.054938 Batch=359, step=8760, lr=0.163750, batch loss=0.247813, epoch loss=1.302750 Batch=419, step=8820, lr=0.163250, batch loss=0.246707, epoch loss=1.549458 Batch=479, step=8880, lr=0.163000, batch loss=0.227386, epoch loss=1.776844 Batch=539, step=8940, lr=0.162750, batch loss=0.182490, epoch loss=1.959333 Batch=599, step=9000, lr=0.162500, batch loss=0.215497, epoch loss=2.174831 Batch=659, step=9060, lr=0.162250, batch loss=0.294962, epoch loss=2.469792 Batch=719, step=9120, lr=0.162000, batch loss=0.294594, epoch loss=2.764387 Batch=779, step=9180, lr=0.162000, batch loss=0.318294, epoch loss=3.082681 Batch=839, step=9240, lr=0.161500, batch loss=0.284427, epoch loss=3.367107 Batch=899, step=9300, lr=0.161250, batch loss=0.249061, epoch loss=3.616168 Batch=959, step=9360, lr=0.161000, batch loss=0.195700, epoch loss=3.811868 Batch=1019, step=9420, lr=0.160750, batch loss=0.308668, epoch loss=4.120536 Batch=1079, step=9480, lr=0.160500, batch loss=0.187080, epoch loss=4.307616 Batch=1139, step=9540, lr=0.160500, batch loss=0.214126, epoch loss=4.521742 Batch=1199, step=9600, lr=0.160250, batch loss=0.166578, epoch loss=4.688320 Epoch=7, step=9600, lr=0.160250, epoch loss=4.688320 Batch=59, step=9660, lr=0.159750, batch loss=0.211771, epoch loss=0.211771 Batch=119, step=9720, lr=0.159750, batch loss=0.172099, epoch loss=0.383870 Batch=179, step=9780, lr=0.159500, batch loss=0.179533, epoch loss=0.563404 Batch=239, step=9840, lr=0.159000, batch loss=0.261449, epoch loss=0.824852 Batch=299, step=9900, lr=0.158750, batch loss=0.185117, epoch loss=1.009969 Batch=359, step=9960, lr=0.158750, batch loss=0.242453, epoch loss=1.252422 Batch=419, step=10020, lr=0.158250, batch loss=0.232912, epoch loss=1.485335 Batch=479, step=10080, lr=0.158250, batch loss=0.214864, epoch loss=1.700198 Batch=539, step=10140, lr=0.158000, batch loss=0.170821, epoch loss=1.871020 Batch=599, step=10200, lr=0.157750, batch loss=0.202528, epoch loss=2.073547 Batch=659, step=10260, lr=0.157500, batch loss=0.282596, epoch loss=2.356143 Batch=719, step=10320, lr=0.157250, batch loss=0.287499, epoch loss=2.643643 Batch=779, step=10380, lr=0.157000, batch loss=0.296530, epoch loss=2.940173 Batch=839, step=10440, lr=0.156500, batch loss=0.267477, epoch loss=3.207650 Batch=899, step=10500, lr=0.156500, batch loss=0.244384, epoch loss=3.452034 Batch=959, step=10560, lr=0.156000, batch loss=0.200034, epoch loss=3.652068 Batch=1019, step=10620, lr=0.155750, batch loss=0.292722, epoch loss=3.944790 Batch=1079, step=10680, lr=0.155750, batch loss=0.183931, epoch loss=4.128721 Batch=1139, step=10740, lr=0.155250, batch loss=0.204648, epoch loss=4.333369 Batch=1199, step=10800, lr=0.155000, batch loss=0.154952, epoch loss=4.488322 Epoch=8, step=10800, lr=0.155000, epoch loss=4.488322 Batch=59, step=10860, lr=0.154750, batch loss=0.177235, epoch loss=0.177235 Batch=119, step=10920, lr=0.154500, batch loss=0.152102, epoch loss=0.329338 Batch=179, step=10980, lr=0.154250, batch loss=0.167019, epoch loss=0.496357 Batch=239, step=11040, lr=0.154000, batch loss=0.247588, epoch loss=0.743945 Batch=299, step=11100, lr=0.153750, batch loss=0.158786, epoch loss=0.902731 Batch=359, step=11160, lr=0.153500, batch loss=0.213964, epoch loss=1.116695 Batch=419, step=11220, lr=0.153250, batch loss=0.206480, epoch loss=1.323175 Batch=479, step=11280, lr=0.153000, batch loss=0.184455, epoch loss=1.507631 Batch=539, step=11340, lr=0.152750, batch loss=0.152464, epoch loss=1.660095 Batch=599, step=11400, lr=0.152500, batch loss=0.179542, epoch loss=1.839637 Batch=659, step=11460, lr=0.152500, batch loss=0.263805, epoch loss=2.103442 Batch=719, step=11520, lr=0.152250, batch loss=0.261325, epoch loss=2.364767 Batch=779, step=11580, lr=0.152000, batch loss=0.271771, epoch loss=2.636538 Batch=839, step=11640, lr=0.151500, batch loss=0.250168, epoch loss=2.886706 Batch=899, step=11700, lr=0.151500, batch loss=0.217800, epoch loss=3.104506 Batch=959, step=11760, lr=0.151000, batch loss=0.186301, epoch loss=3.290807 Batch=1019, step=11820, lr=0.150750, batch loss=0.281569, epoch loss=3.572376 Batch=1079, step=11880, lr=0.150750, batch loss=0.160616, epoch loss=3.732992 Batch=1139, step=11940, lr=0.150500, batch loss=0.191210, epoch loss=3.924202 Batch=1199, step=12000, lr=0.150000, batch loss=0.139961, epoch loss=4.064162 Epoch=9, step=12000, lr=0.150000, epoch loss=4.064162 Batch=59, step=12060, lr=0.150000, batch loss=0.159050, epoch loss=0.159050 Batch=119, step=12120, lr=0.149750, batch loss=0.128031, epoch loss=0.287081 Batch=179, step=12180, lr=0.149250, batch loss=0.152653, epoch loss=0.439733 Batch=239, step=12240, lr=0.149250, batch loss=0.221584, epoch loss=0.661317 Batch=299, step=12300, lr=0.148750, batch loss=0.144392, epoch loss=0.805710 Batch=359, step=12360, lr=0.148500, batch loss=0.194479, epoch loss=1.000189 Batch=419, step=12420, lr=0.148500, batch loss=0.209381, epoch loss=1.209570 Batch=479, step=12480, lr=0.148000, batch loss=0.177503, epoch loss=1.387073 Batch=539, step=12540, lr=0.148000, batch loss=0.144343, epoch loss=1.531416 Batch=599, step=12600, lr=0.147750, batch loss=0.152911, epoch loss=1.684326 Batch=659, step=12660, lr=0.147500, batch loss=0.236033, epoch loss=1.920359 Batch=719, step=12720, lr=0.147000, batch loss=0.234624, epoch loss=2.154984 Batch=779, step=12780, lr=0.146750, batch loss=0.262513, epoch loss=2.417497 Batch=839, step=12840, lr=0.146750, batch loss=0.231463, epoch loss=2.648960 Batch=899, step=12900, lr=0.146500, batch loss=0.202290, epoch loss=2.851250 Batch=959, step=12960, lr=0.146250, batch loss=0.148197, epoch loss=2.999447 Batch=1019, step=13020, lr=0.146000, batch loss=0.268935, epoch loss=3.268381 Batch=1079, step=13080, lr=0.145750, batch loss=0.111625, epoch loss=3.380007 Batch=1139, step=13140, lr=0.145500, batch loss=0.152190, epoch loss=3.532197 Batch=1199, step=13200, lr=0.145250, batch loss=0.117332, epoch loss=3.649529 Epoch=10, step=13200, lr=0.145250, epoch loss=3.649529 Batch=59, step=13260, lr=0.144750, batch loss=0.144782, epoch loss=0.144782 Batch=119, step=13320, lr=0.144500, batch loss=0.124804, epoch loss=0.269586 Batch=179, step=13380, lr=0.144250, batch loss=0.130727, epoch loss=0.400314 Batch=239, step=13440, lr=0.144000, batch loss=0.191005, epoch loss=0.591318 Batch=299, step=13500, lr=0.143750, batch loss=0.111947, epoch loss=0.703265 Batch=359, step=13560, lr=0.143750, batch loss=0.163107, epoch loss=0.866373 Batch=419, step=13620, lr=0.143500, batch loss=0.161004, epoch loss=1.027377 Batch=479, step=13680, lr=0.143250, batch loss=0.147046, epoch loss=1.174423 Batch=539, step=13740, lr=0.142750, batch loss=0.116908, epoch loss=1.291331 Batch=599, step=13800, lr=0.142500, batch loss=0.120105, epoch loss=1.411436 Batch=659, step=13860, lr=0.142250, batch loss=0.180668, epoch loss=1.592103 Batch=719, step=13920, lr=0.142250, batch loss=0.198342, epoch loss=1.790446 Batch=779, step=13980, lr=0.141750, batch loss=0.235607, epoch loss=2.026053 Batch=839, step=14040, lr=0.141500, batch loss=0.196261, epoch loss=2.222313 Batch=899, step=14100, lr=0.141250, batch loss=0.199650, epoch loss=2.421963 Batch=959, step=14160, lr=0.141000, batch loss=0.117056, epoch loss=2.539019 Batch=1019, step=14220, lr=0.141000, batch loss=0.196053, epoch loss=2.735073 Batch=1079, step=14280, lr=0.140500, batch loss=0.077838, epoch loss=2.812911 Batch=1139, step=14340, lr=0.140250, batch loss=0.121639, epoch loss=2.934550 Batch=1199, step=14400, lr=0.140250, batch loss=0.086842, epoch loss=3.021392 Epoch=11, step=14400, lr=0.140250, epoch loss=3.021392 Batch=59, step=14460, lr=0.139750, batch loss=0.104527, epoch loss=0.104527 Batch=119, step=14520, lr=0.139750, batch loss=0.100673, epoch loss=0.205201 Batch=179, step=14580, lr=0.139250, batch loss=0.098991, epoch loss=0.304192 Batch=239, step=14640, lr=0.139000, batch loss=0.144585, epoch loss=0.448777 Batch=299, step=14700, lr=0.138750, batch loss=0.111844, epoch loss=0.560621 Batch=359, step=14760, lr=0.138500, batch loss=0.135207, epoch loss=0.695828 Batch=419, step=14820, lr=0.138500, batch loss=0.176445, epoch loss=0.872273 Batch=479, step=14880, lr=0.138250, batch loss=0.087596, epoch loss=0.959869 Batch=539, step=14940, lr=0.137750, batch loss=0.069908, epoch loss=1.029777 Batch=599, step=15000, lr=0.137500, batch loss=0.093380, epoch loss=1.123157 Batch=659, step=15060, lr=0.137500, batch loss=0.134796, epoch loss=1.257953 Batch=719, step=15120, lr=0.137250, batch loss=0.140417, epoch loss=1.398371 Batch=779, step=15180, lr=0.136750, batch loss=0.134045, epoch loss=1.532416 Batch=839, step=15240, lr=0.136500, batch loss=0.141757, epoch loss=1.674173 Batch=899, step=15300, lr=0.136250, batch loss=0.116994, epoch loss=1.791167 Batch=959, step=15360, lr=0.136000, batch loss=0.091309, epoch loss=1.882476 Batch=1019, step=15420, lr=0.135750, batch loss=0.096103, epoch loss=1.978579 Batch=1079, step=15480, lr=0.135500, batch loss=0.056128, epoch loss=2.034707 Batch=1139, step=15540, lr=0.135500, batch loss=0.093260, epoch loss=2.127968 Batch=1199, step=15600, lr=0.135000, batch loss=0.053639, epoch loss=2.181606 Epoch=12, step=15600, lr=0.135000, epoch loss=2.181606 Batch=59, step=15660, lr=0.134750, batch loss=0.102561, epoch loss=0.102561 Batch=119, step=15720, lr=0.134500, batch loss=0.165371, epoch loss=0.267932 Batch=179, step=15780, lr=0.134500, batch loss=0.108581, epoch loss=0.376512 Batch=239, step=15840, lr=0.134250, batch loss=0.105676, epoch loss=0.482188 Batch=299, step=15900, lr=0.134000, batch loss=0.044623, epoch loss=0.526811 Batch=359, step=15960, lr=0.133750, batch loss=0.082674, epoch loss=0.609485 Batch=419, step=16020, lr=0.133250, batch loss=0.080619, epoch loss=0.690104 Batch=479, step=16080, lr=0.133000, batch loss=0.062926, epoch loss=0.753031 Batch=539, step=16140, lr=0.132750, batch loss=0.058595, epoch loss=0.811626 Batch=599, step=16200, lr=0.132750, batch loss=0.114295, epoch loss=0.925921 Batch=659, step=16260, lr=0.132500, batch loss=0.080798, epoch loss=1.006720 Batch=719, step=16320, lr=0.132250, batch loss=0.108186, epoch loss=1.114906 Batch=779, step=16380, lr=0.132000, batch loss=0.222753, epoch loss=1.337659 Batch=839, step=16440, lr=0.131500, batch loss=0.094391, epoch loss=1.432050 Batch=899, step=16500, lr=0.131250, batch loss=0.082385, epoch loss=1.514434 Batch=959, step=16560, lr=0.131000, batch loss=0.042317, epoch loss=1.556751 Batch=1019, step=16620, lr=0.131000, batch loss=0.102512, epoch loss=1.659263 Batch=1079, step=16680, lr=0.130500, batch loss=0.032102, epoch loss=1.691365 Batch=1139, step=16740, lr=0.130500, batch loss=0.076729, epoch loss=1.768094 Batch=1199, step=16800, lr=0.130250, batch loss=0.033640, epoch loss=1.801734 Epoch=13, step=16800, lr=0.130250, epoch loss=1.801734 Batch=59, step=16860, lr=0.129750, batch loss=0.034957, epoch loss=0.034957 Batch=119, step=16920, lr=0.129750, batch loss=0.036164, epoch loss=0.071121 Batch=179, step=16980, lr=0.129500, batch loss=0.042068, epoch loss=0.113189 Batch=239, step=17040, lr=0.129000, batch loss=0.054873, epoch loss=0.168062 Batch=299, step=17100, lr=0.129000, batch loss=0.020462, epoch loss=0.188524 Batch=359, step=17160, lr=0.128750, batch loss=0.042976, epoch loss=0.231500 Batch=419, step=17220, lr=0.128500, batch loss=0.080529, epoch loss=0.312028 Batch=479, step=17280, lr=0.128000, batch loss=0.032712, epoch loss=0.344740 Batch=539, step=17340, lr=0.127750, batch loss=0.060483, epoch loss=0.405223 Batch=599, step=17400, lr=0.127750, batch loss=0.035455, epoch loss=0.440678 Batch=659, step=17460, lr=0.127500, batch loss=0.048203, epoch loss=0.488881 Batch=719, step=17520, lr=0.127250, batch loss=0.055292, epoch loss=0.544173 Batch=779, step=17580, lr=0.127000, batch loss=0.137841, epoch loss=0.682014 Batch=839, step=17640, lr=0.126750, batch loss=0.110916, epoch loss=0.792930 Batch=899, step=17700, lr=0.126250, batch loss=0.152325, epoch loss=0.945254 Batch=959, step=17760, lr=0.126000, batch loss=0.020393, epoch loss=0.965648 Batch=1019, step=17820, lr=0.126000, batch loss=0.033313, epoch loss=0.998961 Batch=1079, step=17880, lr=0.125500, batch loss=0.013358, epoch loss=1.012319 Batch=1139, step=17940, lr=0.125250, batch loss=0.037054, epoch loss=1.049372 Batch=1199, step=18000, lr=0.125250, batch loss=0.017144, epoch loss=1.066516 Epoch=14, step=18000, lr=0.125250, epoch loss=1.066516 Batch=59, step=18060, lr=0.124750, batch loss=0.012548, epoch loss=0.012548 Batch=119, step=18120, lr=0.124750, batch loss=0.019078, epoch loss=0.031626 Batch=179, step=18180, lr=0.124500, batch loss=0.029008, epoch loss=0.060634 Batch=239, step=18240, lr=0.124250, batch loss=0.039854, epoch loss=0.100489 Batch=299, step=18300, lr=0.123750, batch loss=0.017640, epoch loss=0.118128 Batch=359, step=18360, lr=0.123750, batch loss=0.025014, epoch loss=0.143142 Batch=419, step=18420, lr=0.123500, batch loss=0.031693, epoch loss=0.174835 Batch=479, step=18480, lr=0.123250, batch loss=0.023686, epoch loss=0.198521 Batch=539, step=18540, lr=0.122750, batch loss=0.042005, epoch loss=0.240526 Batch=599, step=18600, lr=0.122750, batch loss=0.026320, epoch loss=0.266846 Batch=659, step=18660, lr=0.122250, batch loss=0.033857, epoch loss=0.300703 Batch=719, step=18720, lr=0.122250, batch loss=0.047306, epoch loss=0.348010 Batch=779, step=18780, lr=0.121750, batch loss=0.117683, epoch loss=0.465693 Batch=839, step=18840, lr=0.121750, batch loss=0.057475, epoch loss=0.523167 Batch=899, step=18900, lr=0.121500, batch loss=0.054417, epoch loss=0.577584 Batch=959, step=18960, lr=0.121000, batch loss=0.015338, epoch loss=0.592922 Batch=1019, step=19020, lr=0.121000, batch loss=0.021956, epoch loss=0.614878 Batch=1079, step=19080, lr=0.120500, batch loss=0.009976, epoch loss=0.624854 Batch=1139, step=19140, lr=0.120250, batch loss=0.023635, epoch loss=0.648489 Batch=1199, step=19200, lr=0.120250, batch loss=0.009534, epoch loss=0.658023 Epoch=15, step=19200, lr=0.120250, epoch loss=0.658023 Batch=59, step=19260, lr=0.120000, batch loss=0.004187, epoch loss=0.004187 Batch=119, step=19320, lr=0.119750, batch loss=0.011976, epoch loss=0.016163 Batch=179, step=19380, lr=0.119250, batch loss=0.020329, epoch loss=0.036492 Batch=239, step=19440, lr=0.119000, batch loss=0.020725, epoch loss=0.057218 Batch=299, step=19500, lr=0.119000, batch loss=0.005166, epoch loss=0.062384 Batch=359, step=19560, lr=0.118500, batch loss=0.017345, epoch loss=0.079729 Batch=419, step=19620, lr=0.118500, batch loss=0.020220, epoch loss=0.099949 Batch=479, step=19680, lr=0.118250, batch loss=0.012650, epoch loss=0.112599 Batch=539, step=19740, lr=0.118000, batch loss=0.019476, epoch loss=0.132075 Batch=599, step=19800, lr=0.117500, batch loss=0.019772, epoch loss=0.151847 Batch=659, step=19860, lr=0.117250, batch loss=0.019118, epoch loss=0.170965 Batch=719, step=19920, lr=0.117000, batch loss=0.016451, epoch loss=0.187416 Batch=779, step=19980, lr=0.117000, batch loss=0.018874, epoch loss=0.206290 Batch=839, step=20040, lr=0.116500, batch loss=0.030513, epoch loss=0.236803 Batch=899, step=20100, lr=0.116250, batch loss=0.032579, epoch loss=0.269382 Batch=959, step=20160, lr=0.116250, batch loss=0.013597, epoch loss=0.282979 Batch=1019, step=20220, lr=0.116000, batch loss=0.014227, epoch loss=0.297207 Batch=1079, step=20280, lr=0.115750, batch loss=0.005191, epoch loss=0.302398 Batch=1139, step=20340, lr=0.115500, batch loss=0.019486, epoch loss=0.321883 Batch=1199, step=20400, lr=0.115000, batch loss=0.007569, epoch loss=0.329453 Epoch=16, step=20400, lr=0.115000, epoch loss=0.329453 Batch=59, step=20460, lr=0.114750, batch loss=0.003541, epoch loss=0.003541 Batch=119, step=20520, lr=0.114750, batch loss=0.010020, epoch loss=0.013562 Batch=179, step=20580, lr=0.114500, batch loss=0.022724, epoch loss=0.036285 Batch=239, step=20640, lr=0.114000, batch loss=0.018233, epoch loss=0.054518 Batch=299, step=20700, lr=0.113750, batch loss=0.004952, epoch loss=0.059470 Batch=359, step=20760, lr=0.113750, batch loss=0.014296, epoch loss=0.073766 Batch=419, step=20820, lr=0.113500, batch loss=0.014437, epoch loss=0.088203 Batch=479, step=20880, lr=0.113250, batch loss=0.005172, epoch loss=0.093375 Batch=539, step=20940, lr=0.113000, batch loss=0.015509, epoch loss=0.108884 Batch=599, step=21000, lr=0.112750, batch loss=0.018988, epoch loss=0.127872 Batch=659, step=21060, lr=0.112500, batch loss=0.015655, epoch loss=0.143527 Batch=719, step=21120, lr=0.112250, batch loss=0.041824, epoch loss=0.185351 Batch=779, step=21180, lr=0.112000, batch loss=0.070944, epoch loss=0.256296 Batch=839, step=21240, lr=0.111750, batch loss=0.025749, epoch loss=0.282044 Batch=899, step=21300, lr=0.111500, batch loss=0.027900, epoch loss=0.309944 Batch=959, step=21360, lr=0.111000, batch loss=0.010303, epoch loss=0.320247 Batch=1019, step=21420, lr=0.111000, batch loss=0.011311, epoch loss=0.331558 Batch=1079, step=21480, lr=0.110750, batch loss=0.001987, epoch loss=0.333545 Batch=1139, step=21540, lr=0.110500, batch loss=0.012836, epoch loss=0.346382 Batch=1199, step=21600, lr=0.110250, batch loss=0.005204, epoch loss=0.351586 Epoch=17, step=21600, lr=0.110250, epoch loss=0.351586 Batch=59, step=21660, lr=0.109750, batch loss=0.003027, epoch loss=0.003027 Batch=119, step=21720, lr=0.109750, batch loss=0.006847, epoch loss=0.009874 Batch=179, step=21780, lr=0.109500, batch loss=0.013428, epoch loss=0.023302 Batch=239, step=21840, lr=0.109250, batch loss=0.010231, epoch loss=0.033533 Batch=299, step=21900, lr=0.109000, batch loss=0.006785, epoch loss=0.040318 Batch=359, step=21960, lr=0.108750, batch loss=0.015023, epoch loss=0.055341 Batch=419, step=22020, lr=0.108500, batch loss=0.013731, epoch loss=0.069072 Batch=479, step=22080, lr=0.108250, batch loss=0.003598, epoch loss=0.072670 Batch=539, step=22140, lr=0.108000, batch loss=0.016154, epoch loss=0.088825 Batch=599, step=22200, lr=0.107750, batch loss=0.016547, epoch loss=0.105372 Batch=659, step=22260, lr=0.107500, batch loss=0.013972, epoch loss=0.119343 Batch=719, step=22320, lr=0.107250, batch loss=0.032860, epoch loss=0.152203 Batch=779, step=22380, lr=0.106750, batch loss=0.051328, epoch loss=0.203532 Batch=839, step=22440, lr=0.106500, batch loss=0.022458, epoch loss=0.225989 Batch=899, step=22500, lr=0.106500, batch loss=0.022394, epoch loss=0.248384 Batch=959, step=22560, lr=0.106000, batch loss=0.010580, epoch loss=0.258964 Batch=1019, step=22620, lr=0.105750, batch loss=0.010485, epoch loss=0.269449 Batch=1079, step=22680, lr=0.105750, batch loss=0.000483, epoch loss=0.269932 Batch=1139, step=22740, lr=0.105500, batch loss=0.012100, epoch loss=0.282032 Batch=1199, step=22800, lr=0.105250, batch loss=0.004853, epoch loss=0.286885 Epoch=18, step=22800, lr=0.105250, epoch loss=0.286885 Batch=59, step=22860, lr=0.105000, batch loss=0.002003, epoch loss=0.002003 Batch=119, step=22920, lr=0.104750, batch loss=0.005710, epoch loss=0.007713 Batch=179, step=22980, lr=0.104250, batch loss=0.011173, epoch loss=0.018886 Batch=239, step=23040, lr=0.104000, batch loss=0.009981, epoch loss=0.028867 Batch=299, step=23100, lr=0.104000, batch loss=0.012109, epoch loss=0.040976 Batch=359, step=23160, lr=0.103500, batch loss=0.011641, epoch loss=0.052617 Batch=419, step=23220, lr=0.103250, batch loss=0.011075, epoch loss=0.063691 Batch=479, step=23280, lr=0.103000, batch loss=0.002481, epoch loss=0.066172 Batch=539, step=23340, lr=0.102750, batch loss=0.017027, epoch loss=0.083200 Batch=599, step=23400, lr=0.102750, batch loss=0.013916, epoch loss=0.097116 Batch=659, step=23460, lr=0.102250, batch loss=0.010528, epoch loss=0.107644 Batch=719, step=23520, lr=0.102250, batch loss=0.017629, epoch loss=0.125273 Batch=779, step=23580, lr=0.101750, batch loss=0.022754, epoch loss=0.148027 Batch=839, step=23640, lr=0.101500, batch loss=0.025018, epoch loss=0.173045 Batch=899, step=23700, lr=0.101500, batch loss=0.025015, epoch loss=0.198060 Batch=959, step=23760, lr=0.101250, batch loss=0.008342, epoch loss=0.206402 Batch=1019, step=23820, lr=0.100750, batch loss=0.007584, epoch loss=0.213986 Batch=1079, step=23880, lr=0.100500, batch loss=0.000504, epoch loss=0.214490 Batch=1139, step=23940, lr=0.100250, batch loss=0.009356, epoch loss=0.223845 Batch=1199, step=24000, lr=0.100000, batch loss=0.004359, epoch loss=0.228204 Epoch=19, step=24000, lr=0.100000, epoch loss=0.228204 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#***********************************....│ │*******######**##*************...******************#*######*#********************************.......│ │*******##*##**##**********...........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###*******...............%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................********.................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 15:35.07 ---> saved as "cedbc9a5d4beae9f35c73b7f5196f4da3fa0f93ba7f0b61feee33ee44b3f0834" Job succeeded 2025-03-21 15:35.09: Job succeeded