2025-03-20 22:11.56: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (4ee46a20839684c520fd8d1cc91b4a5416d1e783) (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 4ee46a20 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 22:11.56: 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 22:11.56: 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 22:11.56: Waiting for resource in pool OCluster 2025-03-20 22:11.56: Waiting for worker… 2025-03-20 22:16.15: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 4ee46a20 Update GitHub actions (from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c) 2025-03-20 22:16.16 ---> 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 22:16.16 ---> 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 22:16.16 ---> 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 22:16.16 ---> using "f1a850b0d0b34fa431f0064c7e811f48129c9a3c72bcf8cfd6026d2ea544afa4" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:16.16 ---> 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 22:16.16 ---> using "43eed9b2620af14dda9b17d57d927cf8f18cd27565b6b6e5db1da1dd96506c0c" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:16.16 ---> using "eee4ab51503006ed17a134cdc5c6421120e9c30008e8e3f08820a8f175ee0658" 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 22:16.16 ---> using "d45ef0cc5707d4c54d822b83298a20b63ff049127299583bbf16035fef2798e7" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:16.16 ---> using "6e6b88f79a797b296eaca8a860e310bdaa5d1e291b4e740fa3a77a58120d4947" 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 (899 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 22:16.16 ---> using "7d6dc882b32c56ce1dcf8f0e2cb67013c923a371e419cdc24781a1e5ec204c2b" 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 angstrom.0.16.1 (cached) -> retrieved backoff.0.1.1 (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 ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved topkg.1.0.8 (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 printbox.0.12 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed sexplib.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed base.v0.17.1 -> installed printbox-ext-plot.0.12 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.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) 2025-03-20 22:20.20 ---> saved as "3c3a3f1986f45c61f8052b049c03715cd4c05f94d7cbf1f1f151f3e64f31d438" /src: (copy (src .) (dst /src)) 2025-03-20 22:20.21 ---> saved as "a0748a571146e3453a54848fe5904df856f987f089d1f63fa28c10a48df107e1" /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/cd324c7366324dd6886ecef146dd8e62/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/cd324c7366324dd6886ecef146dd8e62/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd324c7366324dd6886ecef146dd8e62/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/d47d42d31f19ad3698e3f683d22f38e5/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/cd324c7366324dd6886ecef146dd8e62/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd324c7366324dd6886ecef146dd8e62/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/cd324c7366324dd6886ecef146dd8e62/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd324c7366324dd6886ecef146dd8e62/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/cd324c7366324dd6886ecef146dd8e62/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd324c7366324dd6886ecef146dd8e62/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/cd324c7366324dd6886ecef146dd8e62/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd324c7366324dd6886ecef146dd8e62/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/cd324c7366324dd6886ecef146dd8e62/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd324c7366324dd6886ecef146dd8e62/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/cd324c7366324dd6886ecef146dd8e62/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd324c7366324dd6886ecef146dd8e62/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/cd324c7366324dd6886ecef146dd8e62/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd324c7366324dd6886ecef146dd8e62/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/cd324c7366324dd6886ecef146dd8e62/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/cd324c7366324dd6886ecef146dd8e62/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/cd324c7366324dd6886ecef146dd8e62/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.855278, epoch loss=35.626096 Batch=299, step=300, lr=0.198750, batch loss=1.437143, epoch loss=37.063240 Batch=359, step=360, lr=0.198750, batch loss=1.337152, epoch loss=38.400391 Batch=419, step=420, lr=0.198250, batch loss=0.612375, epoch loss=39.012766 Batch=479, step=480, lr=0.198250, batch loss=0.744197, epoch loss=39.756963 Batch=539, step=540, lr=0.198000, batch loss=0.694255, epoch loss=40.451218 Batch=599, step=600, lr=0.197750, batch loss=1.099199, epoch loss=41.550417 Batch=659, step=660, lr=0.197500, batch loss=0.482282, epoch loss=42.032699 Batch=719, step=720, lr=0.197250, batch loss=0.410700, epoch loss=42.443399 Batch=779, step=780, lr=0.197000, batch loss=0.468662, epoch loss=42.912060 Batch=839, step=840, lr=0.196500, batch loss=0.450714, epoch loss=43.362774 Batch=899, step=900, lr=0.196250, batch loss=0.383830, epoch loss=43.746604 Batch=959, step=960, lr=0.196000, batch loss=0.266481, epoch loss=44.013085 Batch=1019, step=1020, lr=0.196000, batch loss=0.489698, epoch loss=44.502783 Batch=1079, step=1080, lr=0.195500, batch loss=0.263126, epoch loss=44.765909 Batch=1139, step=1140, lr=0.195250, batch loss=0.332330, epoch loss=45.098240 Batch=1199, step=1200, lr=0.195000, batch loss=0.264758, epoch loss=45.362998 Epoch=0, step=1200, lr=0.195000, epoch loss=45.362998 Batch=59, step=1260, lr=0.195000, batch loss=0.264440, epoch loss=0.264440 Batch=119, step=1320, lr=0.194750, batch loss=0.208962, epoch loss=0.473403 Batch=179, step=1380, lr=0.194500, batch loss=0.248712, epoch loss=0.722114 Batch=239, step=1440, lr=0.194250, batch loss=0.351220, epoch loss=1.073335 Batch=299, step=1500, lr=0.194000, batch loss=0.237159, epoch loss=1.310494 Batch=359, step=1560, lr=0.193750, batch loss=0.314033, epoch loss=1.624527 Batch=419, step=1620, lr=0.193500, batch loss=0.311933, epoch loss=1.936461 Batch=479, step=1680, lr=0.193250, batch loss=0.277874, epoch loss=2.214334 Batch=539, step=1740, lr=0.193000, batch loss=0.212952, epoch loss=2.427286 Batch=599, step=1800, lr=0.192750, batch loss=0.259362, epoch loss=2.686648 Batch=659, step=1860, lr=0.192250, batch loss=0.373452, epoch loss=3.060100 Batch=719, step=1920, lr=0.192250, batch loss=0.366584, epoch loss=3.426683 Batch=779, step=1980, lr=0.192000, batch loss=0.387249, epoch loss=3.813932 Batch=839, step=2040, lr=0.191750, batch loss=0.351119, epoch loss=4.165051 Batch=899, step=2100, lr=0.191500, batch loss=0.325759, epoch loss=4.490810 Batch=959, step=2160, lr=0.191250, batch loss=0.255160, epoch loss=4.745970 Batch=1019, step=2220, lr=0.191000, batch loss=0.395086, epoch loss=5.141056 Batch=1079, step=2280, lr=0.190750, batch loss=0.216168, epoch loss=5.357224 Batch=1139, step=2340, lr=0.190500, batch loss=0.254882, epoch loss=5.612106 Batch=1199, step=2400, lr=0.190250, batch loss=0.212772, epoch loss=5.824879 Epoch=1, step=2400, lr=0.190250, epoch loss=5.824879 Batch=59, step=2460, lr=0.190000, batch loss=0.236909, epoch loss=0.236909 Batch=119, step=2520, lr=0.189750, batch loss=0.196168, epoch loss=0.433077 Batch=179, step=2580, lr=0.189500, batch loss=0.223102, epoch loss=0.656179 Batch=239, step=2640, lr=0.189250, batch loss=0.331254, epoch loss=0.987433 Batch=299, step=2700, lr=0.189000, batch loss=0.205428, epoch loss=1.192861 Batch=359, step=2760, lr=0.188750, batch loss=0.290384, epoch loss=1.483245 Batch=419, step=2820, lr=0.188500, batch loss=0.282662, epoch loss=1.765907 Batch=479, step=2880, lr=0.188250, batch loss=0.254490, epoch loss=2.020398 Batch=539, step=2940, lr=0.188000, batch loss=0.193355, epoch loss=2.213753 Batch=599, step=3000, lr=0.187750, batch loss=0.228523, epoch loss=2.442276 Batch=659, step=3060, lr=0.187500, batch loss=0.339913, epoch loss=2.782189 Batch=719, step=3120, lr=0.187250, batch loss=0.331930, epoch loss=3.114119 Batch=779, step=3180, lr=0.187000, batch loss=0.354988, epoch loss=3.469107 Batch=839, step=3240, lr=0.186750, batch loss=0.329499, epoch loss=3.798606 Batch=899, step=3300, lr=0.186500, batch loss=0.302337, epoch loss=4.100943 Batch=959, step=3360, lr=0.186250, batch loss=0.242311, epoch loss=4.343254 Batch=1019, step=3420, lr=0.186000, batch loss=0.358602, epoch loss=4.701856 Batch=1079, step=3480, lr=0.185750, batch loss=0.212128, epoch loss=4.913984 Batch=1139, step=3540, lr=0.185500, batch loss=0.267406, epoch loss=5.181390 Batch=1199, step=3600, lr=0.185250, batch loss=0.200638, epoch loss=5.382028 Epoch=2, step=3600, lr=0.185250, epoch loss=5.382028 Batch=59, step=3660, lr=0.185000, batch loss=0.225146, epoch loss=0.225146 Batch=119, step=3720, lr=0.184750, batch loss=0.188010, epoch loss=0.413155 Batch=179, step=3780, lr=0.184500, batch loss=0.212987, epoch loss=0.626142 Batch=239, step=3840, lr=0.184250, batch loss=0.317475, epoch loss=0.943617 Batch=299, step=3900, lr=0.184000, batch loss=0.204843, epoch loss=1.148460 Batch=359, step=3960, lr=0.183750, batch loss=0.282671, epoch loss=1.431131 Batch=419, step=4020, lr=0.183250, batch loss=0.273595, epoch loss=1.704727 Batch=479, step=4080, lr=0.183250, batch loss=0.253386, epoch loss=1.958112 Batch=539, step=4140, lr=0.183000, batch loss=0.190404, epoch loss=2.148517 Batch=599, step=4200, lr=0.182500, batch loss=0.233716, epoch loss=2.382232 Batch=659, step=4260, lr=0.182500, batch loss=0.334908, epoch loss=2.717140 Batch=719, step=4320, lr=0.182250, batch loss=0.345277, epoch loss=3.062417 Batch=779, step=4380, lr=0.182000, batch loss=0.351516, epoch loss=3.413933 Batch=839, step=4440, lr=0.181750, batch loss=0.320104, epoch loss=3.734038 Batch=899, step=4500, lr=0.181500, batch loss=0.291143, epoch loss=4.025180 Batch=959, step=4560, lr=0.181250, batch loss=0.243967, epoch loss=4.269147 Batch=1019, step=4620, lr=0.181000, batch loss=0.338657, epoch loss=4.607804 Batch=1079, step=4680, lr=0.180750, batch loss=0.198737, epoch loss=4.806541 Batch=1139, step=4740, lr=0.180500, batch loss=0.237792, epoch loss=5.044333 Batch=1199, step=4800, lr=0.180250, batch loss=0.192238, epoch loss=5.236571 Epoch=3, step=4800, lr=0.180250, epoch loss=5.236571 Batch=59, step=4860, lr=0.180000, batch loss=0.224114, epoch loss=0.224114 Batch=119, step=4920, lr=0.179500, batch loss=0.187084, epoch loss=0.411198 Batch=179, step=4980, lr=0.179500, batch loss=0.205930, epoch loss=0.617128 Batch=239, step=5040, lr=0.179000, batch loss=0.308907, epoch loss=0.926034 Batch=299, step=5100, lr=0.178750, batch loss=0.207363, epoch loss=1.133397 Batch=359, step=5160, lr=0.178750, batch loss=0.270074, epoch loss=1.403471 Batch=419, step=5220, lr=0.178500, batch loss=0.264883, epoch loss=1.668354 Batch=479, step=5280, lr=0.178250, batch loss=0.238724, epoch loss=1.907078 Batch=539, step=5340, lr=0.178000, batch loss=0.188486, epoch loss=2.095564 Batch=599, step=5400, lr=0.177750, batch loss=0.234298, epoch loss=2.329862 Batch=659, step=5460, lr=0.177500, batch loss=0.322629, epoch loss=2.652491 Batch=719, step=5520, lr=0.177250, batch loss=0.321703, epoch loss=2.974194 Batch=779, step=5580, lr=0.177000, batch loss=0.343196, epoch loss=3.317390 Batch=839, step=5640, lr=0.176750, batch loss=0.309894, epoch loss=3.627284 Batch=899, step=5700, lr=0.176500, batch loss=0.270891, epoch loss=3.898175 Batch=959, step=5760, lr=0.176250, batch loss=0.218043, epoch loss=4.116217 Batch=1019, step=5820, lr=0.176000, batch loss=0.335606, epoch loss=4.451823 Batch=1079, step=5880, lr=0.175750, batch loss=0.189700, epoch loss=4.641523 Batch=1139, step=5940, lr=0.175500, batch loss=0.221041, epoch loss=4.862563 Batch=1199, step=6000, lr=0.175250, batch loss=0.187195, epoch loss=5.049759 Epoch=4, step=6000, lr=0.175250, epoch loss=5.049759 Batch=59, step=6060, lr=0.175000, batch loss=0.232662, epoch loss=0.232662 Batch=119, step=6120, lr=0.174750, batch loss=0.191827, epoch loss=0.424489 Batch=179, step=6180, lr=0.174500, batch loss=0.201755, epoch loss=0.626245 Batch=239, step=6240, lr=0.174250, batch loss=0.300135, epoch loss=0.926379 Batch=299, step=6300, lr=0.174000, batch loss=0.206002, epoch loss=1.132381 Batch=359, step=6360, lr=0.173750, batch loss=0.265127, epoch loss=1.397509 Batch=419, step=6420, lr=0.173250, batch loss=0.259691, epoch loss=1.657200 Batch=479, step=6480, lr=0.173250, batch loss=0.235888, epoch loss=1.893088 Batch=539, step=6540, lr=0.173000, batch loss=0.189111, epoch loss=2.082199 Batch=599, step=6600, lr=0.172500, batch loss=0.225118, epoch loss=2.307316 Batch=659, step=6660, lr=0.172500, batch loss=0.316879, epoch loss=2.624195 Batch=719, step=6720, lr=0.172250, batch loss=0.313855, epoch loss=2.938050 Batch=779, step=6780, lr=0.172000, batch loss=0.332987, epoch loss=3.271037 Batch=839, step=6840, lr=0.171750, batch loss=0.303664, epoch loss=3.574702 Batch=899, step=6900, lr=0.171500, batch loss=0.267326, epoch loss=3.842028 Batch=959, step=6960, lr=0.171250, batch loss=0.210003, epoch loss=4.052031 Batch=1019, step=7020, lr=0.171000, batch loss=0.334060, epoch loss=4.386091 Batch=1079, step=7080, lr=0.170750, batch loss=0.192641, epoch loss=4.578731 Batch=1139, step=7140, lr=0.170500, batch loss=0.227191, epoch loss=4.805923 Batch=1199, step=7200, lr=0.170250, batch loss=0.179772, epoch loss=4.985695 Epoch=5, step=7200, lr=0.170250, epoch loss=4.985695 Batch=59, step=7260, lr=0.170000, batch loss=0.214701, epoch loss=0.214701 Batch=119, step=7320, lr=0.169750, batch loss=0.182293, epoch loss=0.396994 Batch=179, step=7380, lr=0.169250, batch loss=0.196442, epoch loss=0.593437 Batch=239, step=7440, lr=0.169250, batch loss=0.291957, epoch loss=0.885394 Batch=299, step=7500, lr=0.169000, batch loss=0.201395, epoch loss=1.086789 Batch=359, step=7560, lr=0.168750, batch loss=0.258496, epoch loss=1.345285 Batch=419, step=7620, lr=0.168500, batch loss=0.256914, epoch loss=1.602199 Batch=479, step=7680, lr=0.168250, batch loss=0.236188, epoch loss=1.838387 Batch=539, step=7740, lr=0.168000, batch loss=0.188737, epoch loss=2.027123 Batch=599, step=7800, lr=0.167750, batch loss=0.224776, epoch loss=2.251899 Batch=659, step=7860, lr=0.167500, batch loss=0.306423, epoch loss=2.558322 Batch=719, step=7920, lr=0.167250, batch loss=0.307339, epoch loss=2.865661 Batch=779, step=7980, lr=0.167000, batch loss=0.322612, epoch loss=3.188274 Batch=839, step=8040, lr=0.166750, batch loss=0.295896, epoch loss=3.484169 Batch=899, step=8100, lr=0.166500, batch loss=0.260540, epoch loss=3.744710 Batch=959, step=8160, lr=0.166250, batch loss=0.206273, epoch loss=3.950983 Batch=1019, step=8220, lr=0.166000, batch loss=0.318390, epoch loss=4.269373 Batch=1079, step=8280, lr=0.165750, batch loss=0.171082, epoch loss=4.440455 Batch=1139, step=8340, lr=0.165500, batch loss=0.206757, epoch loss=4.647212 Batch=1199, step=8400, lr=0.165250, batch loss=0.179104, epoch loss=4.826316 Epoch=6, step=8400, lr=0.165250, epoch loss=4.826316 Batch=59, step=8460, lr=0.165000, batch loss=0.228348, epoch loss=0.228348 Batch=119, step=8520, lr=0.164750, batch loss=0.175064, epoch loss=0.403412 Batch=179, step=8580, lr=0.164500, batch loss=0.187655, epoch loss=0.591067 Batch=239, step=8640, lr=0.164250, batch loss=0.276214, epoch loss=0.867281 Batch=299, step=8700, lr=0.164000, batch loss=0.184628, epoch loss=1.051909 Batch=359, step=8760, lr=0.163750, batch loss=0.245021, epoch loss=1.296930 Batch=419, step=8820, lr=0.163500, batch loss=0.241269, epoch loss=1.538199 Batch=479, step=8880, lr=0.163250, batch loss=0.218312, epoch loss=1.756511 Batch=539, step=8940, lr=0.163000, batch loss=0.175459, epoch loss=1.931970 Batch=599, step=9000, lr=0.162750, batch loss=0.212655, epoch loss=2.144625 Batch=659, step=9060, lr=0.162500, batch loss=0.296397, epoch loss=2.441022 Batch=719, step=9120, lr=0.162250, batch loss=0.292196, epoch loss=2.733218 Batch=779, step=9180, lr=0.162000, batch loss=0.308375, epoch loss=3.041593 Batch=839, step=9240, lr=0.161750, batch loss=0.285496, epoch loss=3.327088 Batch=899, step=9300, lr=0.161250, batch loss=0.254219, epoch loss=3.581308 Batch=959, step=9360, lr=0.161250, batch loss=0.208963, epoch loss=3.790271 Batch=1019, step=9420, lr=0.161000, batch loss=0.299228, epoch loss=4.089499 Batch=1079, step=9480, lr=0.160750, batch loss=0.187329, epoch loss=4.276829 Batch=1139, step=9540, lr=0.160500, batch loss=0.207076, epoch loss=4.483905 Batch=1199, step=9600, lr=0.160250, batch loss=0.166096, epoch loss=4.650001 Epoch=7, step=9600, lr=0.160250, epoch loss=4.650001 Batch=59, step=9660, lr=0.160000, batch loss=0.194028, epoch loss=0.194028 Batch=119, step=9720, lr=0.159750, batch loss=0.161975, epoch loss=0.356002 Batch=179, step=9780, lr=0.159500, batch loss=0.178617, epoch loss=0.534619 Batch=239, step=9840, lr=0.159250, batch loss=0.262058, epoch loss=0.796676 Batch=299, step=9900, lr=0.159000, batch loss=0.182726, epoch loss=0.979402 Batch=359, step=9960, lr=0.158750, batch loss=0.242854, epoch loss=1.222255 Batch=419, step=10020, lr=0.158500, batch loss=0.241861, epoch loss=1.464117 Batch=479, step=10080, lr=0.158250, batch loss=0.223611, epoch loss=1.687728 Batch=539, step=10140, lr=0.158000, batch loss=0.175751, epoch loss=1.863479 Batch=599, step=10200, lr=0.157500, batch loss=0.200304, epoch loss=2.063782 Batch=659, step=10260, lr=0.157250, batch loss=0.280168, epoch loss=2.343950 Batch=719, step=10320, lr=0.157250, batch loss=0.281592, epoch loss=2.625542 Batch=779, step=10380, lr=0.157000, batch loss=0.292615, epoch loss=2.918156 Batch=839, step=10440, lr=0.156750, batch loss=0.270829, epoch loss=3.188986 Batch=899, step=10500, lr=0.156500, batch loss=0.237767, epoch loss=3.426753 Batch=959, step=10560, lr=0.156250, batch loss=0.177174, epoch loss=3.603927 Batch=1019, step=10620, lr=0.156000, batch loss=0.298573, epoch loss=3.902500 Batch=1079, step=10680, lr=0.155750, batch loss=0.179309, epoch loss=4.081809 Batch=1139, step=10740, lr=0.155500, batch loss=0.200234, epoch loss=4.282043 Batch=1199, step=10800, lr=0.155250, batch loss=0.155708, epoch loss=4.437751 Epoch=8, step=10800, lr=0.155250, epoch loss=4.437751 Batch=59, step=10860, lr=0.155000, batch loss=0.178463, epoch loss=0.178463 Batch=119, step=10920, lr=0.154750, batch loss=0.152856, epoch loss=0.331320 Batch=179, step=10980, lr=0.154500, batch loss=0.166471, epoch loss=0.497790 Batch=239, step=11040, lr=0.154250, batch loss=0.246023, epoch loss=0.743813 Batch=299, step=11100, lr=0.154000, batch loss=0.161537, epoch loss=0.905350 Batch=359, step=11160, lr=0.153750, batch loss=0.215965, epoch loss=1.121315 Batch=419, step=11220, lr=0.153500, batch loss=0.217615, epoch loss=1.338930 Batch=479, step=11280, lr=0.153250, batch loss=0.210792, epoch loss=1.549721 Batch=539, step=11340, lr=0.153000, batch loss=0.163216, epoch loss=1.712937 Batch=599, step=11400, lr=0.152750, batch loss=0.177007, epoch loss=1.889944 Batch=659, step=11460, lr=0.152500, batch loss=0.265762, epoch loss=2.155706 Batch=719, step=11520, lr=0.152250, batch loss=0.266116, epoch loss=2.421822 Batch=779, step=11580, lr=0.152000, batch loss=0.273488, epoch loss=2.695310 Batch=839, step=11640, lr=0.151750, batch loss=0.251765, epoch loss=2.947076 Batch=899, step=11700, lr=0.151500, batch loss=0.219729, epoch loss=3.166805 Batch=959, step=11760, lr=0.151250, batch loss=0.190375, epoch loss=3.357180 Batch=1019, step=11820, lr=0.151000, batch loss=0.290832, epoch loss=3.648012 Batch=1079, step=11880, lr=0.150750, batch loss=0.146147, epoch loss=3.794160 Batch=1139, step=11940, lr=0.150500, batch loss=0.180514, epoch loss=3.974674 Batch=1199, step=12000, lr=0.150250, batch loss=0.139936, epoch loss=4.114610 Epoch=9, step=12000, lr=0.150250, epoch loss=4.114610 Batch=59, step=12060, lr=0.150000, batch loss=0.161151, epoch loss=0.161151 Batch=119, step=12120, lr=0.149750, batch loss=0.137425, epoch loss=0.298576 Batch=179, step=12180, lr=0.149500, batch loss=0.151956, epoch loss=0.450532 Batch=239, step=12240, lr=0.149250, batch loss=0.219648, epoch loss=0.670180 Batch=299, step=12300, lr=0.149000, batch loss=0.142759, epoch loss=0.812938 Batch=359, step=12360, lr=0.148750, batch loss=0.196871, epoch loss=1.009810 Batch=419, step=12420, lr=0.148500, batch loss=0.192616, epoch loss=1.202425 Batch=479, step=12480, lr=0.148000, batch loss=0.181552, epoch loss=1.383977 Batch=539, step=12540, lr=0.148000, batch loss=0.141450, epoch loss=1.525427 Batch=599, step=12600, lr=0.147750, batch loss=0.150959, epoch loss=1.676386 Batch=659, step=12660, lr=0.147500, batch loss=0.225355, epoch loss=1.901741 Batch=719, step=12720, lr=0.147250, batch loss=0.239507, epoch loss=2.141248 Batch=779, step=12780, lr=0.147000, batch loss=0.261437, epoch loss=2.402685 Batch=839, step=12840, lr=0.146750, batch loss=0.238156, epoch loss=2.640840 Batch=899, step=12900, lr=0.146500, batch loss=0.220373, epoch loss=2.861213 Batch=959, step=12960, lr=0.146250, batch loss=0.147044, epoch loss=3.008257 Batch=1019, step=13020, lr=0.146000, batch loss=0.243379, epoch loss=3.251636 Batch=1079, step=13080, lr=0.145750, batch loss=0.110025, epoch loss=3.361660 Batch=1139, step=13140, lr=0.145500, batch loss=0.148483, epoch loss=3.510144 Batch=1199, step=13200, lr=0.145250, batch loss=0.117032, epoch loss=3.627176 Epoch=10, step=13200, lr=0.145250, epoch loss=3.627176 Batch=59, step=13260, lr=0.145000, batch loss=0.140263, epoch loss=0.140263 Batch=119, step=13320, lr=0.144750, batch loss=0.121260, epoch loss=0.261523 Batch=179, step=13380, lr=0.144500, batch loss=0.129616, epoch loss=0.391139 Batch=239, step=13440, lr=0.144250, batch loss=0.195111, epoch loss=0.586250 Batch=299, step=13500, lr=0.144000, batch loss=0.117523, epoch loss=0.703774 Batch=359, step=13560, lr=0.143750, batch loss=0.161931, epoch loss=0.865705 Batch=419, step=13620, lr=0.143500, batch loss=0.161419, epoch loss=1.027124 Batch=479, step=13680, lr=0.143250, batch loss=0.146099, epoch loss=1.173223 Batch=539, step=13740, lr=0.143000, batch loss=0.119066, epoch loss=1.292289 Batch=599, step=13800, lr=0.142750, batch loss=0.121214, epoch loss=1.413503 Batch=659, step=13860, lr=0.142500, batch loss=0.176385, epoch loss=1.589888 Batch=719, step=13920, lr=0.142250, batch loss=0.179351, epoch loss=1.769239 Batch=779, step=13980, lr=0.142000, batch loss=0.197800, epoch loss=1.967039 Batch=839, step=14040, lr=0.141750, batch loss=0.188343, epoch loss=2.155382 Batch=899, step=14100, lr=0.141500, batch loss=0.157849, epoch loss=2.313231 Batch=959, step=14160, lr=0.141250, batch loss=0.139491, epoch loss=2.452722 Batch=1019, step=14220, lr=0.141000, batch loss=0.279835, epoch loss=2.732556 Batch=1079, step=14280, lr=0.140750, batch loss=0.088129, epoch loss=2.820685 Batch=1139, step=14340, lr=0.140500, batch loss=0.131134, epoch loss=2.951819 Batch=1199, step=14400, lr=0.140250, batch loss=0.091973, epoch loss=3.043792 Epoch=11, step=14400, lr=0.140250, epoch loss=3.043792 Batch=59, step=14460, lr=0.140000, batch loss=0.122465, epoch loss=0.122465 Batch=119, step=14520, lr=0.139750, batch loss=0.111247, epoch loss=0.233712 Batch=179, step=14580, lr=0.139500, batch loss=0.106364, epoch loss=0.340076 Batch=239, step=14640, lr=0.139250, batch loss=0.140443, epoch loss=0.480519 Batch=299, step=14700, lr=0.139000, batch loss=0.081690, epoch loss=0.562209 Batch=359, step=14760, lr=0.138750, batch loss=0.121789, epoch loss=0.683998 Batch=419, step=14820, lr=0.138500, batch loss=0.128766, epoch loss=0.812763 Batch=479, step=14880, lr=0.138250, batch loss=0.102930, epoch loss=0.915693 Batch=539, step=14940, lr=0.138000, batch loss=0.103700, epoch loss=1.019393 Batch=599, step=15000, lr=0.137750, batch loss=0.085286, epoch loss=1.104680 Batch=659, step=15060, lr=0.137500, batch loss=0.129098, epoch loss=1.233777 Batch=719, step=15120, lr=0.137250, batch loss=0.119920, epoch loss=1.353698 Batch=779, step=15180, lr=0.137000, batch loss=0.124118, epoch loss=1.477815 Batch=839, step=15240, lr=0.136750, batch loss=0.154950, epoch loss=1.632766 Batch=899, step=15300, lr=0.136500, batch loss=0.240062, epoch loss=1.872828 Batch=959, step=15360, lr=0.136250, batch loss=0.055711, epoch loss=1.928538 Batch=1019, step=15420, lr=0.136000, batch loss=0.136302, epoch loss=2.064841 Batch=1079, step=15480, lr=0.135750, batch loss=0.051676, epoch loss=2.116517 Batch=1139, step=15540, lr=0.135500, batch loss=0.109696, epoch loss=2.226213 Batch=1199, step=15600, lr=0.135250, batch loss=0.058127, epoch loss=2.284339 Epoch=12, step=15600, lr=0.135250, epoch loss=2.284339 Batch=59, step=15660, lr=0.135000, batch loss=0.077423, epoch loss=0.077423 Batch=119, step=15720, lr=0.134750, batch loss=0.122469, epoch loss=0.199892 Batch=179, step=15780, lr=0.134500, batch loss=0.091582, epoch loss=0.291474 Batch=239, step=15840, lr=0.134250, batch loss=0.094504, epoch loss=0.385978 Batch=299, step=15900, lr=0.134000, batch loss=0.040314, epoch loss=0.426293 Batch=359, step=15960, lr=0.133750, batch loss=0.083008, epoch loss=0.509300 Batch=419, step=16020, lr=0.133500, batch loss=0.081607, epoch loss=0.590908 Batch=479, step=16080, lr=0.133250, batch loss=0.068716, epoch loss=0.659623 Batch=539, step=16140, lr=0.133000, batch loss=0.055077, epoch loss=0.714700 Batch=599, step=16200, lr=0.132750, batch loss=0.099194, epoch loss=0.813894 Batch=659, step=16260, lr=0.132500, batch loss=0.076335, epoch loss=0.890229 Batch=719, step=16320, lr=0.132250, batch loss=0.087141, epoch loss=0.977370 Batch=779, step=16380, lr=0.132000, batch loss=0.113865, epoch loss=1.091235 Batch=839, step=16440, lr=0.131750, batch loss=0.122346, epoch loss=1.213581 Batch=899, step=16500, lr=0.131500, batch loss=0.149810, epoch loss=1.363391 Batch=959, step=16560, lr=0.131250, batch loss=0.043199, epoch loss=1.406589 Batch=1019, step=16620, lr=0.131000, batch loss=0.104551, epoch loss=1.511141 Batch=1079, step=16680, lr=0.130750, batch loss=0.027195, epoch loss=1.538335 Batch=1139, step=16740, lr=0.130500, batch loss=0.059112, epoch loss=1.597447 Batch=1199, step=16800, lr=0.130250, batch loss=0.029268, epoch loss=1.626715 Epoch=13, step=16800, lr=0.130250, epoch loss=1.626715 Batch=59, step=16860, lr=0.130000, batch loss=0.035674, epoch loss=0.035674 Batch=119, step=16920, lr=0.129750, batch loss=0.042951, epoch loss=0.078626 Batch=179, step=16980, lr=0.129500, batch loss=0.043970, epoch loss=0.122596 Batch=239, step=17040, lr=0.129250, batch loss=0.061970, epoch loss=0.184566 Batch=299, step=17100, lr=0.129000, batch loss=0.027122, epoch loss=0.211688 Batch=359, step=17160, lr=0.128750, batch loss=0.048143, epoch loss=0.259831 Batch=419, step=17220, lr=0.128500, batch loss=0.075902, epoch loss=0.335733 Batch=479, step=17280, lr=0.128250, batch loss=0.022815, epoch loss=0.358548 Batch=539, step=17340, lr=0.128000, batch loss=0.028069, epoch loss=0.386617 Batch=599, step=17400, lr=0.127750, batch loss=0.033995, epoch loss=0.420612 Batch=659, step=17460, lr=0.127500, batch loss=0.044816, epoch loss=0.465427 Batch=719, step=17520, lr=0.127250, batch loss=0.062574, epoch loss=0.528002 Batch=779, step=17580, lr=0.127000, batch loss=0.131489, epoch loss=0.659491 Batch=839, step=17640, lr=0.126750, batch loss=0.130362, epoch loss=0.789853 Batch=899, step=17700, lr=0.126500, batch loss=0.164051, epoch loss=0.953903 Batch=959, step=17760, lr=0.126250, batch loss=0.020972, epoch loss=0.974875 Batch=1019, step=17820, lr=0.126000, batch loss=0.032345, epoch loss=1.007220 Batch=1079, step=17880, lr=0.125750, batch loss=0.014592, epoch loss=1.021812 Batch=1139, step=17940, lr=0.125500, batch loss=0.046820, epoch loss=1.068632 Batch=1199, step=18000, lr=0.125250, batch loss=0.019879, epoch loss=1.088511 Epoch=14, step=18000, lr=0.125250, epoch loss=1.088511 Batch=59, step=18060, lr=0.125000, batch loss=0.012506, epoch loss=0.012506 Batch=119, step=18120, lr=0.124750, batch loss=0.019277, epoch loss=0.031782 Batch=179, step=18180, lr=0.124500, batch loss=0.029669, epoch loss=0.061451 Batch=239, step=18240, lr=0.124250, batch loss=0.040526, epoch loss=0.101977 Batch=299, step=18300, lr=0.124000, batch loss=0.016094, epoch loss=0.118071 Batch=359, step=18360, lr=0.123750, batch loss=0.024795, epoch loss=0.142866 Batch=419, step=18420, lr=0.123500, batch loss=0.030242, epoch loss=0.173108 Batch=479, step=18480, lr=0.123250, batch loss=0.016300, epoch loss=0.189408 Batch=539, step=18540, lr=0.123000, batch loss=0.024923, epoch loss=0.214332 Batch=599, step=18600, lr=0.122750, batch loss=0.025648, epoch loss=0.239979 Batch=659, step=18660, lr=0.122500, batch loss=0.030576, epoch loss=0.270555 Batch=719, step=18720, lr=0.122250, batch loss=0.023884, epoch loss=0.294439 Batch=779, step=18780, lr=0.122000, batch loss=0.048044, epoch loss=0.342483 Batch=839, step=18840, lr=0.121750, batch loss=0.066428, epoch loss=0.408911 Batch=899, step=18900, lr=0.121500, batch loss=0.039531, epoch loss=0.448442 Batch=959, step=18960, lr=0.121250, batch loss=0.018956, epoch loss=0.467397 Batch=1019, step=19020, lr=0.121000, batch loss=0.021231, epoch loss=0.488628 Batch=1079, step=19080, lr=0.120750, batch loss=0.013737, epoch loss=0.502365 Batch=1139, step=19140, lr=0.120500, batch loss=0.027064, epoch loss=0.529429 Batch=1199, step=19200, lr=0.120250, batch loss=0.011334, epoch loss=0.540762 Epoch=15, step=19200, lr=0.120250, epoch loss=0.540762 Batch=59, step=19260, lr=0.120000, batch loss=0.008777, epoch loss=0.008777 Batch=119, step=19320, lr=0.119750, batch loss=0.032229, epoch loss=0.041007 Batch=179, step=19380, lr=0.119500, batch loss=0.087824, epoch loss=0.128830 Batch=239, step=19440, lr=0.119250, batch loss=0.035929, epoch loss=0.164759 Batch=299, step=19500, lr=0.119000, batch loss=0.008901, epoch loss=0.173660 Batch=359, step=19560, lr=0.118750, batch loss=0.022411, epoch loss=0.196072 Batch=419, step=19620, lr=0.118500, batch loss=0.019778, epoch loss=0.215850 Batch=479, step=19680, lr=0.118250, batch loss=0.006278, epoch loss=0.222128 Batch=539, step=19740, lr=0.118000, batch loss=0.027477, epoch loss=0.249605 Batch=599, step=19800, lr=0.117750, batch loss=0.027094, epoch loss=0.276699 Batch=659, step=19860, lr=0.117500, batch loss=0.015979, epoch loss=0.292678 Batch=719, step=19920, lr=0.117250, batch loss=0.036097, epoch loss=0.328775 Batch=779, step=19980, lr=0.117000, batch loss=0.078426, epoch loss=0.407201 Batch=839, step=20040, lr=0.116750, batch loss=0.032393, epoch loss=0.439594 Batch=899, step=20100, lr=0.116500, batch loss=0.029642, epoch loss=0.469236 Batch=959, step=20160, lr=0.116250, batch loss=0.013347, epoch loss=0.482583 Batch=1019, step=20220, lr=0.116000, batch loss=0.015941, epoch loss=0.498524 Batch=1079, step=20280, lr=0.115500, batch loss=0.002751, epoch loss=0.501276 Batch=1139, step=20340, lr=0.115500, batch loss=0.014912, epoch loss=0.516188 Batch=1199, step=20400, lr=0.115250, batch loss=0.008082, epoch loss=0.524270 Epoch=16, step=20400, lr=0.115250, epoch loss=0.524270 Batch=59, step=20460, lr=0.115000, batch loss=0.004041, epoch loss=0.004041 Batch=119, step=20520, lr=0.114750, batch loss=0.012405, epoch loss=0.016446 Batch=179, step=20580, lr=0.114500, batch loss=0.025815, epoch loss=0.042261 Batch=239, step=20640, lr=0.114250, batch loss=0.015697, epoch loss=0.057958 Batch=299, step=20700, lr=0.114000, batch loss=0.003775, epoch loss=0.061733 Batch=359, step=20760, lr=0.113750, batch loss=0.013530, epoch loss=0.075263 Batch=419, step=20820, lr=0.113500, batch loss=0.014719, epoch loss=0.089982 Batch=479, step=20880, lr=0.113250, batch loss=0.004657, epoch loss=0.094639 Batch=539, step=20940, lr=0.113000, batch loss=0.015879, epoch loss=0.110518 Batch=599, step=21000, lr=0.112750, batch loss=0.018471, epoch loss=0.128989 Batch=659, step=21060, lr=0.112250, batch loss=0.015081, epoch loss=0.144070 Batch=719, step=21120, lr=0.112250, batch loss=0.037123, epoch loss=0.181193 Batch=779, step=21180, lr=0.112000, batch loss=0.068551, epoch loss=0.249744 Batch=839, step=21240, lr=0.111750, batch loss=0.025407, epoch loss=0.275151 Batch=899, step=21300, lr=0.111500, batch loss=0.028354, epoch loss=0.303505 Batch=959, step=21360, lr=0.111250, batch loss=0.010131, epoch loss=0.313636 Batch=1019, step=21420, lr=0.111000, batch loss=0.011272, epoch loss=0.324908 Batch=1079, step=21480, lr=0.110750, batch loss=0.001268, epoch loss=0.326176 Batch=1139, step=21540, lr=0.110500, batch loss=0.012833, epoch loss=0.339009 Batch=1199, step=21600, lr=0.110250, batch loss=0.005033, epoch loss=0.344042 Epoch=17, step=21600, lr=0.110250, epoch loss=0.344042 Batch=59, step=21660, lr=0.110000, batch loss=0.002447, epoch loss=0.002447 Batch=119, step=21720, lr=0.109750, batch loss=0.006711, epoch loss=0.009158 Batch=179, step=21780, lr=0.109500, batch loss=0.012836, epoch loss=0.021995 Batch=239, step=21840, lr=0.109250, batch loss=0.009188, epoch loss=0.031182 Batch=299, step=21900, lr=0.109000, batch loss=0.010091, epoch loss=0.041273 Batch=359, step=21960, lr=0.108750, batch loss=0.014621, epoch loss=0.055895 Batch=419, step=22020, lr=0.108500, batch loss=0.013060, epoch loss=0.068955 Batch=479, step=22080, lr=0.108250, batch loss=0.002879, epoch loss=0.071834 Batch=539, step=22140, lr=0.108000, batch loss=0.019125, epoch loss=0.090959 Batch=599, step=22200, lr=0.107750, batch loss=0.018022, epoch loss=0.108980 Batch=659, step=22260, lr=0.107500, batch loss=0.016335, epoch loss=0.125316 Batch=719, step=22320, lr=0.107250, batch loss=0.021643, epoch loss=0.146959 Batch=779, step=22380, lr=0.107000, batch loss=0.031449, epoch loss=0.178408 Batch=839, step=22440, lr=0.106750, batch loss=0.030207, epoch loss=0.208614 Batch=899, step=22500, lr=0.106500, batch loss=0.023551, epoch loss=0.232165 Batch=959, step=22560, lr=0.106250, batch loss=0.011356, epoch loss=0.243521 Batch=1019, step=22620, lr=0.106000, batch loss=0.013691, epoch loss=0.257212 Batch=1079, step=22680, lr=0.105750, batch loss=0.001633, epoch loss=0.258845 Batch=1139, step=22740, lr=0.105500, batch loss=0.010587, epoch loss=0.269432 Batch=1199, step=22800, lr=0.105250, batch loss=0.005703, epoch loss=0.275135 Epoch=18, step=22800, lr=0.105250, epoch loss=0.275135 Batch=59, step=22860, lr=0.104750, batch loss=0.002845, epoch loss=0.002845 Batch=119, step=22920, lr=0.104750, batch loss=0.004959, epoch loss=0.007804 Batch=179, step=22980, lr=0.104500, batch loss=0.012992, epoch loss=0.020797 Batch=239, step=23040, lr=0.104250, batch loss=0.008519, epoch loss=0.029316 Batch=299, step=23100, lr=0.104000, batch loss=0.007924, epoch loss=0.037240 Batch=359, step=23160, lr=0.103750, batch loss=0.012432, epoch loss=0.049672 Batch=419, step=23220, lr=0.103500, batch loss=0.012068, epoch loss=0.061740 Batch=479, step=23280, lr=0.103250, batch loss=0.002494, epoch loss=0.064234 Batch=539, step=23340, lr=0.103000, batch loss=0.018355, epoch loss=0.082588 Batch=599, step=23400, lr=0.102750, batch loss=0.012980, epoch loss=0.095568 Batch=659, step=23460, lr=0.102500, batch loss=0.010840, epoch loss=0.106409 Batch=719, step=23520, lr=0.102250, batch loss=0.013734, epoch loss=0.120143 Batch=779, step=23580, lr=0.102000, batch loss=0.022383, epoch loss=0.142526 Batch=839, step=23640, lr=0.101750, batch loss=0.024515, epoch loss=0.167041 Batch=899, step=23700, lr=0.101500, batch loss=0.023092, epoch loss=0.190133 Batch=959, step=23760, lr=0.101250, batch loss=0.008377, epoch loss=0.198510 Batch=1019, step=23820, lr=0.101000, batch loss=0.008362, epoch loss=0.206872 Batch=1079, step=23880, lr=0.100750, batch loss=0.000773, epoch loss=0.207645 Batch=1139, step=23940, lr=0.100500, batch loss=0.009368, epoch loss=0.217013 Batch=1199, step=24000, lr=0.100250, batch loss=0.004328, epoch loss=0.221341 Epoch=19, step=24000, lr=0.100250, epoch loss=0.221341 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%.........**************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:21.41 ---> saved as "81e6dcf6f17ac65c944d4d3614fe228a43738606338d89e540c91370b3df78c7" Job succeeded 2025-03-20 22:21.42: Job succeeded