2025-03-20 22:29.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (1a4d0ebb2cb2be9bf8422ae739357d8626151cd1) (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 1a4d0ebb 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 22:29.24: 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 22:29.24: 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 22:29.24: Waiting for resource in pool OCluster 2025-03-20 22:29.24: Waiting for worker… 2025-03-20 22:32.56: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 1a4d0ebb fPIC for cc: but only openSUSE complained https://ocaml.ci.dev/github/ahrefs/ocannl/commit/ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0/variant/opensuse-15.6-5.3_opam-2.3 (from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c) 2025-03-20 22:32.57 ---> 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 22:32.57 ---> 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 22:32.57 ---> 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 22:32.57 ---> using "f1a850b0d0b34fa431f0064c7e811f48129c9a3c72bcf8cfd6026d2ea544afa4" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:32.57 ---> 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 22:32.57 ---> using "43eed9b2620af14dda9b17d57d927cf8f18cd27565b6b6e5db1da1dd96506c0c" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:32.58 ---> 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) 2025-03-20 22:33.03 ---> saved as "b4d20779886cc71bdc29ec05383e522e1d56dc9ed4bfbb528d4505bc9dae75aa" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:33.03 ---> saved as "982883279bbcd56d744d11a295c330d66a69f7e69854a69db155d33f41682f48" /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://deb.debian.org/debian bullseye InRelease - Get:2 http://deb.debian.org/debian-security bullseye-security InRelease [27.2 kB] - Get:3 http://deb.debian.org/debian bullseye-updates InRelease [44.1 kB] - Get:4 http://deb.debian.org/debian-security bullseye-security/main amd64 Packages [351 kB] - Fetched 422 kB in 0s (939 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18364 files and directories currently installed.) - Preparing to unpack .../0-libffi-dev_3.3-6_amd64.deb ... - Unpacking libffi-dev:amd64 (3.3-6) ... - Selecting previously unselected package libglib2.0-0:amd64. - Preparing to unpack .../1-libglib2.0-0_2.66.8-1+deb11u5_amd64.deb ... - Unpacking libglib2.0-0:amd64 (2.66.8-1+deb11u5) ... - Selecting previously unselected package libglib2.0-data. - Preparing to unpack .../2-libglib2.0-data_2.66.8-1+deb11u5_all.deb ... - Unpacking libglib2.0-data (2.66.8-1+deb11u5) ... - Selecting previously unselected package libicu67:amd64. - Preparing to unpack .../3-libicu67_67.1-7_amd64.deb ... - Unpacking libicu67:amd64 (67.1-7) ... - Selecting previously unselected package libxml2:amd64. - Preparing to unpack .../4-libxml2_2.9.10+dfsg-6.7+deb11u6_amd64.deb ... - Unpacking libxml2:amd64 (2.9.10+dfsg-6.7+deb11u6) ... - Selecting previously unselected package pkg-config. - Preparing to unpack .../5-pkg-config_0.29.2-1_amd64.deb ... - Unpacking pkg-config (0.29.2-1) ... - Selecting previously unselected package shared-mime-info. - Preparing to unpack .../6-shared-mime-info_2.0-1_amd64.deb ... - Unpacking shared-mime-info (2.0-1) ... - Selecting previously unselected package xdg-user-dirs. - Preparing to unpack .../7-xdg-user-dirs_0.17-2_amd64.deb ... - Unpacking xdg-user-dirs (0.17-2) ... - Setting up libicu67:amd64 (67.1-7) ... - Setting up xdg-user-dirs (0.17-2) ... - Setting up libglib2.0-0:amd64 (2.66.8-1+deb11u5) ... - No schema files found: doing nothing. - Setting up libffi-dev:amd64 (3.3-6) ... - Setting up libglib2.0-data (2.66.8-1+deb11u5) ... - Setting up pkg-config (0.29.2-1) ... - Setting up libxml2:amd64 (2.9.10+dfsg-6.7+deb11u6) ... - Setting up shared-mime-info (2.0-1) ... - Processing triggers for libc-bin (2.31-13+deb11u11) ... 2025-03-20 22:33.32 ---> saved as "82c76151faf9ece368b0c5d5e078fb86b2e2adef0f4f6af7107a2d3e1614702b" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:35.55 ---> saved as "39cbaa7b5803dc3a7980c5e931437b8332532397d7cfd69b50234e8fb09894c4" /src: (copy (src .) (dst /src)) 2025-03-20 22:35.55 ---> saved as "46598f04587048093e3d02b368dde829f053c5fa1cc7a2a36d40a3fba88f2fae" /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/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/080a946d72536ac76e899037a6a1bc69/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172500, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312071, epoch loss=2.646926 Batch=719, step=6720, lr=0.172250, batch loss=0.314265, epoch loss=2.961191 Batch=779, step=6780, lr=0.171750, batch loss=0.333157, epoch loss=3.294348 Batch=839, step=6840, lr=0.171750, batch loss=0.303771, epoch loss=3.598119 Batch=899, step=6900, lr=0.171250, batch loss=0.268452, epoch loss=3.866571 Batch=959, step=6960, lr=0.171000, batch loss=0.210984, epoch loss=4.077555 Batch=1019, step=7020, lr=0.171000, batch loss=0.329606, epoch loss=4.407160 Batch=1079, step=7080, lr=0.170750, batch loss=0.180758, epoch loss=4.587919 Batch=1139, step=7140, lr=0.170500, batch loss=0.216056, epoch loss=4.803975 Batch=1199, step=7200, lr=0.170250, batch loss=0.185611, epoch loss=4.989586 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989586 Batch=59, step=7260, lr=0.170000, batch loss=0.232617, epoch loss=0.232617 Batch=119, step=7320, lr=0.169750, batch loss=0.184519, epoch loss=0.417136 Batch=179, step=7380, lr=0.169500, batch loss=0.196593, epoch loss=0.613729 Batch=239, step=7440, lr=0.169250, batch loss=0.291723, epoch loss=0.905452 Batch=299, step=7500, lr=0.169000, batch loss=0.200798, epoch loss=1.106250 Batch=359, step=7560, lr=0.168750, batch loss=0.258630, epoch loss=1.364880 Batch=419, step=7620, lr=0.168500, batch loss=0.257309, epoch loss=1.622189 Batch=479, step=7680, lr=0.168250, batch loss=0.235406, epoch loss=1.857595 Batch=539, step=7740, lr=0.168000, batch loss=0.188470, epoch loss=2.046065 Batch=599, step=7800, lr=0.167750, batch loss=0.223280, epoch loss=2.269345 Batch=659, step=7860, lr=0.167500, batch loss=0.306274, epoch loss=2.575619 Batch=719, step=7920, lr=0.167250, batch loss=0.308775, epoch loss=2.884394 Batch=779, step=7980, lr=0.167000, batch loss=0.330510, epoch loss=3.214903 Batch=839, step=8040, lr=0.166750, batch loss=0.292101, epoch loss=3.507005 Batch=899, step=8100, lr=0.166500, batch loss=0.262192, epoch loss=3.769197 Batch=959, step=8160, lr=0.166250, batch loss=0.192569, epoch loss=3.961766 Batch=1019, step=8220, lr=0.166000, batch loss=0.290953, epoch loss=4.252719 Batch=1079, step=8280, lr=0.165750, batch loss=0.184467, epoch loss=4.437187 Batch=1139, step=8340, lr=0.165500, batch loss=0.216186, epoch loss=4.653372 Batch=1199, step=8400, lr=0.165250, batch loss=0.172749, epoch loss=4.826121 Epoch=6, step=8400, lr=0.165250, epoch loss=4.826121 Batch=59, step=8460, lr=0.165000, batch loss=0.212176, epoch loss=0.212176 Batch=119, step=8520, lr=0.164750, batch loss=0.177957, epoch loss=0.390133 Batch=179, step=8580, lr=0.164500, batch loss=0.188595, epoch loss=0.578728 Batch=239, step=8640, lr=0.164250, batch loss=0.278053, epoch loss=0.856781 Batch=299, step=8700, lr=0.164000, batch loss=0.193914, epoch loss=1.050695 Batch=359, step=8760, lr=0.163750, batch loss=0.247198, epoch loss=1.297893 Batch=419, step=8820, lr=0.163500, batch loss=0.245355, epoch loss=1.543249 Batch=479, step=8880, lr=0.163250, batch loss=0.229317, epoch loss=1.772565 Batch=539, step=8940, lr=0.163000, batch loss=0.177646, epoch loss=1.950212 Batch=599, step=9000, lr=0.162750, batch loss=0.217676, epoch loss=2.167887 Batch=659, step=9060, lr=0.162500, batch loss=0.295068, epoch loss=2.462955 Batch=719, step=9120, lr=0.162250, batch loss=0.299166, epoch loss=2.762121 Batch=779, step=9180, lr=0.162000, batch loss=0.316324, epoch loss=3.078445 Batch=839, step=9240, lr=0.161750, batch loss=0.281892, epoch loss=3.360337 Batch=899, step=9300, lr=0.161500, batch loss=0.250749, epoch loss=3.611086 Batch=959, step=9360, lr=0.161250, batch loss=0.197817, epoch loss=3.808903 Batch=1019, step=9420, lr=0.161000, batch loss=0.307403, epoch loss=4.116305 Batch=1079, step=9480, lr=0.160750, batch loss=0.197009, epoch loss=4.313314 Batch=1139, step=9540, lr=0.160500, batch loss=0.213446, epoch loss=4.526760 Batch=1199, step=9600, lr=0.160250, batch loss=0.167261, epoch loss=4.694022 Epoch=7, step=9600, lr=0.160250, epoch loss=4.694022 Batch=59, step=9660, lr=0.160000, batch loss=0.200831, epoch loss=0.200831 Batch=119, step=9720, lr=0.159750, batch loss=0.164846, epoch loss=0.365678 Batch=179, step=9780, lr=0.159500, batch loss=0.178472, epoch loss=0.544150 Batch=239, step=9840, lr=0.159250, batch loss=0.262578, epoch loss=0.806728 Batch=299, step=9900, lr=0.159000, batch loss=0.181262, epoch loss=0.987990 Batch=359, step=9960, lr=0.158750, batch loss=0.241342, epoch loss=1.229332 Batch=419, step=10020, lr=0.158500, batch loss=0.233287, epoch loss=1.462619 Batch=479, step=10080, lr=0.158250, batch loss=0.213334, epoch loss=1.675953 Batch=539, step=10140, lr=0.158000, batch loss=0.172083, epoch loss=1.848036 Batch=599, step=10200, lr=0.157750, batch loss=0.200953, epoch loss=2.048989 Batch=659, step=10260, lr=0.157500, batch loss=0.281399, epoch loss=2.330388 Batch=719, step=10320, lr=0.157250, batch loss=0.286315, epoch loss=2.616703 Batch=779, step=10380, lr=0.157000, batch loss=0.294785, epoch loss=2.911488 Batch=839, step=10440, lr=0.156750, batch loss=0.266174, epoch loss=3.177662 Batch=899, step=10500, lr=0.156500, batch loss=0.244190, epoch loss=3.421852 Batch=959, step=10560, lr=0.156250, batch loss=0.197661, epoch loss=3.619513 Batch=1019, step=10620, lr=0.156000, batch loss=0.279680, epoch loss=3.899193 Batch=1079, step=10680, lr=0.155750, batch loss=0.167644, epoch loss=4.066837 Batch=1139, step=10740, lr=0.155500, batch loss=0.199648, epoch loss=4.266485 Batch=1199, step=10800, lr=0.155250, batch loss=0.154075, epoch loss=4.420560 Epoch=8, step=10800, lr=0.155250, epoch loss=4.420560 Batch=59, step=10860, lr=0.155000, batch loss=0.180045, epoch loss=0.180045 Batch=119, step=10920, lr=0.154750, batch loss=0.150665, epoch loss=0.330710 Batch=179, step=10980, lr=0.154500, batch loss=0.166447, epoch loss=0.497157 Batch=239, step=11040, lr=0.154250, batch loss=0.240743, epoch loss=0.737901 Batch=299, step=11100, lr=0.154000, batch loss=0.172126, epoch loss=0.910026 Batch=359, step=11160, lr=0.153750, batch loss=0.220861, epoch loss=1.130887 Batch=419, step=11220, lr=0.153500, batch loss=0.228478, epoch loss=1.359365 Batch=479, step=11280, lr=0.153250, batch loss=0.203979, epoch loss=1.563345 Batch=539, step=11340, lr=0.153000, batch loss=0.158768, epoch loss=1.722113 Batch=599, step=11400, lr=0.152750, batch loss=0.179583, epoch loss=1.901696 Batch=659, step=11460, lr=0.152500, batch loss=0.265361, epoch loss=2.167057 Batch=719, step=11520, lr=0.152250, batch loss=0.253140, epoch loss=2.420197 Batch=779, step=11580, lr=0.152000, batch loss=0.274406, epoch loss=2.694603 Batch=839, step=11640, lr=0.151750, batch loss=0.254110, epoch loss=2.948713 Batch=899, step=11700, lr=0.151500, batch loss=0.213644, epoch loss=3.162357 Batch=959, step=11760, lr=0.151250, batch loss=0.165702, epoch loss=3.328060 Batch=1019, step=11820, lr=0.151000, batch loss=0.268848, epoch loss=3.596907 Batch=1079, step=11880, lr=0.150750, batch loss=0.149077, epoch loss=3.745985 Batch=1139, step=11940, lr=0.150500, batch loss=0.187084, epoch loss=3.933069 Batch=1199, step=12000, lr=0.150250, batch loss=0.139044, epoch loss=4.072112 Epoch=9, step=12000, lr=0.150250, epoch loss=4.072112 Batch=59, step=12060, lr=0.150000, batch loss=0.157381, epoch loss=0.157381 Batch=119, step=12120, lr=0.149750, batch loss=0.127921, epoch loss=0.285302 Batch=179, step=12180, lr=0.149500, batch loss=0.152434, epoch loss=0.437736 Batch=239, step=12240, lr=0.149250, batch loss=0.221330, epoch loss=0.659066 Batch=299, step=12300, lr=0.149000, batch loss=0.146470, epoch loss=0.805536 Batch=359, step=12360, lr=0.148750, batch loss=0.193928, epoch loss=0.999464 Batch=419, step=12420, lr=0.148500, batch loss=0.208664, epoch loss=1.208128 Batch=479, step=12480, lr=0.148250, batch loss=0.176604, epoch loss=1.384733 Batch=539, step=12540, lr=0.148000, batch loss=0.143936, epoch loss=1.528669 Batch=599, step=12600, lr=0.147750, batch loss=0.152327, epoch loss=1.680996 Batch=659, step=12660, lr=0.147500, batch loss=0.235685, epoch loss=1.916680 Batch=719, step=12720, lr=0.147250, batch loss=0.234298, epoch loss=2.150978 Batch=779, step=12780, lr=0.147000, batch loss=0.262777, epoch loss=2.413755 Batch=839, step=12840, lr=0.146750, batch loss=0.230409, epoch loss=2.644164 Batch=899, step=12900, lr=0.146500, batch loss=0.191906, epoch loss=2.836070 Batch=959, step=12960, lr=0.146250, batch loss=0.163952, epoch loss=3.000022 Batch=1019, step=13020, lr=0.146000, batch loss=0.263188, epoch loss=3.263210 Batch=1079, step=13080, lr=0.145750, batch loss=0.115283, epoch loss=3.378493 Batch=1139, step=13140, lr=0.145500, batch loss=0.154984, epoch loss=3.533478 Batch=1199, step=13200, lr=0.145250, batch loss=0.117268, epoch loss=3.650746 Epoch=10, step=13200, lr=0.145250, epoch loss=3.650746 Batch=59, step=13260, lr=0.145000, batch loss=0.145746, epoch loss=0.145746 Batch=119, step=13320, lr=0.144750, batch loss=0.132221, epoch loss=0.277967 Batch=179, step=13380, lr=0.144500, batch loss=0.130769, epoch loss=0.408736 Batch=239, step=13440, lr=0.144250, batch loss=0.186706, epoch loss=0.595441 Batch=299, step=13500, lr=0.144000, batch loss=0.116444, epoch loss=0.711886 Batch=359, step=13560, lr=0.143750, batch loss=0.163330, epoch loss=0.875216 Batch=419, step=13620, lr=0.143500, batch loss=0.166281, epoch loss=1.041496 Batch=479, step=13680, lr=0.143250, batch loss=0.149403, epoch loss=1.190899 Batch=539, step=13740, lr=0.143000, batch loss=0.115996, epoch loss=1.306895 Batch=599, step=13800, lr=0.142750, batch loss=0.119638, epoch loss=1.426533 Batch=659, step=13860, lr=0.142500, batch loss=0.177854, epoch loss=1.604386 Batch=719, step=13920, lr=0.142250, batch loss=0.172884, epoch loss=1.777271 Batch=779, step=13980, lr=0.142000, batch loss=0.179357, epoch loss=1.956628 Batch=839, step=14040, lr=0.141750, batch loss=0.188557, epoch loss=2.145185 Batch=899, step=14100, lr=0.141500, batch loss=0.176267, epoch loss=2.321452 Batch=959, step=14160, lr=0.141250, batch loss=0.149005, epoch loss=2.470457 Batch=1019, step=14220, lr=0.141000, batch loss=0.317991, epoch loss=2.788448 Batch=1079, step=14280, lr=0.140750, batch loss=0.076354, epoch loss=2.864802 Batch=1139, step=14340, lr=0.140500, batch loss=0.124786, epoch loss=2.989588 Batch=1199, step=14400, lr=0.140250, batch loss=0.093020, epoch loss=3.082608 Epoch=11, step=14400, lr=0.140250, epoch loss=3.082608 Batch=59, step=14460, lr=0.140000, batch loss=0.120651, epoch loss=0.120651 Batch=119, step=14520, lr=0.139750, batch loss=0.104137, epoch loss=0.224788 Batch=179, step=14580, lr=0.139500, batch loss=0.107039, epoch loss=0.331827 Batch=239, step=14640, lr=0.139250, batch loss=0.139489, epoch loss=0.471316 Batch=299, step=14700, lr=0.139000, batch loss=0.067441, epoch loss=0.538757 Batch=359, step=14760, lr=0.138750, batch loss=0.110961, epoch loss=0.649719 Batch=419, step=14820, lr=0.138500, batch loss=0.121293, epoch loss=0.771011 Batch=479, step=14880, lr=0.138250, batch loss=0.105972, epoch loss=0.876984 Batch=539, step=14940, lr=0.138000, batch loss=0.115256, epoch loss=0.992240 Batch=599, step=15000, lr=0.137750, batch loss=0.087449, epoch loss=1.079689 Batch=659, step=15060, lr=0.137500, batch loss=0.127025, epoch loss=1.206714 Batch=719, step=15120, lr=0.137250, batch loss=0.134696, epoch loss=1.341410 Batch=779, step=15180, lr=0.137000, batch loss=0.172615, epoch loss=1.514025 Batch=839, step=15240, lr=0.136750, batch loss=0.160240, epoch loss=1.674265 Batch=899, step=15300, lr=0.136500, batch loss=0.254661, epoch loss=1.928926 Batch=959, step=15360, lr=0.136250, batch loss=0.061517, epoch loss=1.990442 Batch=1019, step=15420, lr=0.136000, batch loss=0.132765, epoch loss=2.123207 Batch=1079, step=15480, lr=0.135750, batch loss=0.044772, epoch loss=2.167979 Batch=1139, step=15540, lr=0.135500, batch loss=0.098621, epoch loss=2.266600 Batch=1199, step=15600, lr=0.135250, batch loss=0.059314, epoch loss=2.325914 Epoch=12, step=15600, lr=0.135250, epoch loss=2.325914 Batch=59, step=15660, lr=0.135000, batch loss=0.075970, epoch loss=0.075970 Batch=119, step=15720, lr=0.134750, batch loss=0.106955, epoch loss=0.182925 Batch=179, step=15780, lr=0.134500, batch loss=0.088306, epoch loss=0.271231 Batch=239, step=15840, lr=0.134250, batch loss=0.092420, epoch loss=0.363651 Batch=299, step=15900, lr=0.134000, batch loss=0.039853, epoch loss=0.403504 Batch=359, step=15960, lr=0.133750, batch loss=0.079188, epoch loss=0.482692 Batch=419, step=16020, lr=0.133500, batch loss=0.079851, epoch loss=0.562543 Batch=479, step=16080, lr=0.133250, batch loss=0.067516, epoch loss=0.630059 Batch=539, step=16140, lr=0.133000, batch loss=0.054613, epoch loss=0.684672 Batch=599, step=16200, lr=0.132750, batch loss=0.102095, epoch loss=0.786767 Batch=659, step=16260, lr=0.132500, batch loss=0.076474, epoch loss=0.863241 Batch=719, step=16320, lr=0.132250, batch loss=0.088317, epoch loss=0.951557 Batch=779, step=16380, lr=0.132000, batch loss=0.125893, epoch loss=1.077450 Batch=839, step=16440, lr=0.131750, batch loss=0.128438, epoch loss=1.205889 Batch=899, step=16500, lr=0.131500, batch loss=0.151236, epoch loss=1.357125 Batch=959, step=16560, lr=0.131250, batch loss=0.036187, epoch loss=1.393313 Batch=1019, step=16620, lr=0.131000, batch loss=0.085443, epoch loss=1.478755 Batch=1079, step=16680, lr=0.130750, batch loss=0.034489, epoch loss=1.513244 Batch=1139, step=16740, lr=0.130500, batch loss=0.072663, epoch loss=1.585907 Batch=1199, step=16800, lr=0.130250, batch loss=0.034726, epoch loss=1.620633 Epoch=13, step=16800, lr=0.130250, epoch loss=1.620633 Batch=59, step=16860, lr=0.130000, batch loss=0.033694, epoch loss=0.033694 Batch=119, step=16920, lr=0.129750, batch loss=0.036498, epoch loss=0.070191 Batch=179, step=16980, lr=0.129500, batch loss=0.041878, epoch loss=0.112069 Batch=239, step=17040, lr=0.129250, batch loss=0.056340, epoch loss=0.168409 Batch=299, step=17100, lr=0.129000, batch loss=0.027616, epoch loss=0.196025 Batch=359, step=17160, lr=0.128750, batch loss=0.048474, epoch loss=0.244499 Batch=419, step=17220, lr=0.128500, batch loss=0.091190, epoch loss=0.335689 Batch=479, step=17280, lr=0.128250, batch loss=0.023711, epoch loss=0.359400 Batch=539, step=17340, lr=0.128000, batch loss=0.026416, epoch loss=0.385816 Batch=599, step=17400, lr=0.127750, batch loss=0.036414, epoch loss=0.422230 Batch=659, step=17460, lr=0.127500, batch loss=0.052495, epoch loss=0.474725 Batch=719, step=17520, lr=0.127250, batch loss=0.067762, epoch loss=0.542488 Batch=779, step=17580, lr=0.127000, batch loss=0.069369, epoch loss=0.611856 Batch=839, step=17640, lr=0.126750, batch loss=0.100387, epoch loss=0.712244 Batch=899, step=17700, lr=0.126500, batch loss=0.047365, epoch loss=0.759609 Batch=959, step=17760, lr=0.126250, batch loss=0.018534, epoch loss=0.778143 Batch=1019, step=17820, lr=0.126000, batch loss=0.049238, epoch loss=0.827381 Batch=1079, step=17880, lr=0.125750, batch loss=0.031253, epoch loss=0.858634 Batch=1139, step=17940, lr=0.125500, batch loss=0.063844, epoch loss=0.922479 Batch=1199, step=18000, lr=0.125250, batch loss=0.020956, epoch loss=0.943434 Epoch=14, step=18000, lr=0.125250, epoch loss=0.943434 Batch=59, step=18060, lr=0.125000, batch loss=0.013554, epoch loss=0.013554 Batch=119, step=18120, lr=0.124750, batch loss=0.017644, epoch loss=0.031199 Batch=179, step=18180, lr=0.124500, batch loss=0.028594, epoch loss=0.059793 Batch=239, step=18240, lr=0.124250, batch loss=0.034061, epoch loss=0.093854 Batch=299, step=18300, lr=0.124000, batch loss=0.012011, epoch loss=0.105864 Batch=359, step=18360, lr=0.123750, batch loss=0.022511, epoch loss=0.128376 Batch=419, step=18420, lr=0.123500, batch loss=0.031384, epoch loss=0.159760 Batch=479, step=18480, lr=0.123250, batch loss=0.023163, epoch loss=0.182923 Batch=539, step=18540, lr=0.123000, batch loss=0.042920, epoch loss=0.225843 Batch=599, step=18600, lr=0.122750, batch loss=0.025886, epoch loss=0.251729 Batch=659, step=18660, lr=0.122500, batch loss=0.031781, epoch loss=0.283510 Batch=719, step=18720, lr=0.122250, batch loss=0.045883, epoch loss=0.329393 Batch=779, step=18780, lr=0.122000, batch loss=0.116240, epoch loss=0.445633 Batch=839, step=18840, lr=0.121750, batch loss=0.058924, epoch loss=0.504557 Batch=899, step=18900, lr=0.121500, batch loss=0.073977, epoch loss=0.578535 Batch=959, step=18960, lr=0.121250, batch loss=0.013895, epoch loss=0.592430 Batch=1019, step=19020, lr=0.121000, batch loss=0.019853, epoch loss=0.612282 Batch=1079, step=19080, lr=0.120750, batch loss=0.010848, epoch loss=0.623130 Batch=1139, step=19140, lr=0.120500, batch loss=0.022448, epoch loss=0.645579 Batch=1199, step=19200, lr=0.120250, batch loss=0.008899, epoch loss=0.654478 Epoch=15, step=19200, lr=0.120250, epoch loss=0.654478 Batch=59, step=19260, lr=0.120000, batch loss=0.003957, epoch loss=0.003957 Batch=119, step=19320, lr=0.119750, batch loss=0.015524, epoch loss=0.019481 Batch=179, step=19380, lr=0.119500, batch loss=0.038496, epoch loss=0.057977 Batch=239, step=19440, lr=0.119250, batch loss=0.021087, epoch loss=0.079064 Batch=299, step=19500, lr=0.119000, batch loss=0.004975, epoch loss=0.084039 Batch=359, step=19560, lr=0.118750, batch loss=0.017008, epoch loss=0.101047 Batch=419, step=19620, lr=0.118500, batch loss=0.020281, epoch loss=0.121327 Batch=479, step=19680, lr=0.118250, batch loss=0.008062, epoch loss=0.129389 Batch=539, step=19740, lr=0.118000, batch loss=0.016798, epoch loss=0.146186 Batch=599, step=19800, lr=0.117750, batch loss=0.024382, epoch loss=0.170569 Batch=659, step=19860, lr=0.117500, batch loss=0.018542, epoch loss=0.189111 Batch=719, step=19920, lr=0.117250, batch loss=0.053227, epoch loss=0.242338 Batch=779, step=19980, lr=0.117000, batch loss=0.076593, epoch loss=0.318931 Batch=839, step=20040, lr=0.116750, batch loss=0.031816, epoch loss=0.350747 Batch=899, step=20100, lr=0.116500, batch loss=0.030359, epoch loss=0.381106 Batch=959, step=20160, lr=0.116250, batch loss=0.016512, epoch loss=0.397618 Batch=1019, step=20220, lr=0.116000, batch loss=0.017639, epoch loss=0.415257 Batch=1079, step=20280, lr=0.115750, batch loss=0.002670, epoch loss=0.417927 Batch=1139, step=20340, lr=0.115500, batch loss=0.014894, epoch loss=0.432821 Batch=1199, step=20400, lr=0.115250, batch loss=0.007466, epoch loss=0.440287 Epoch=16, step=20400, lr=0.115250, epoch loss=0.440287 Batch=59, step=20460, lr=0.115000, batch loss=0.003717, epoch loss=0.003717 Batch=119, step=20520, lr=0.114750, batch loss=0.010974, epoch loss=0.014691 Batch=179, step=20580, lr=0.114500, batch loss=0.021233, epoch loss=0.035925 Batch=239, step=20640, lr=0.114250, batch loss=0.018180, epoch loss=0.054104 Batch=299, step=20700, lr=0.114000, batch loss=0.010895, epoch loss=0.064999 Batch=359, step=20760, lr=0.113750, batch loss=0.014224, epoch loss=0.079224 Batch=419, step=20820, lr=0.113500, batch loss=0.014941, epoch loss=0.094165 Batch=479, step=20880, lr=0.113250, batch loss=0.004784, epoch loss=0.098949 Batch=539, step=20940, lr=0.113000, batch loss=0.015334, epoch loss=0.114283 Batch=599, step=21000, lr=0.112750, batch loss=0.019032, epoch loss=0.133315 Batch=659, step=21060, lr=0.112500, batch loss=0.015969, epoch loss=0.149285 Batch=719, step=21120, lr=0.112250, batch loss=0.038424, epoch loss=0.187708 Batch=779, step=21180, lr=0.112000, batch loss=0.075198, epoch loss=0.262907 Batch=839, step=21240, lr=0.111750, batch loss=0.026436, epoch loss=0.289342 Batch=899, step=21300, lr=0.111500, batch loss=0.035372, epoch loss=0.324714 Batch=959, step=21360, lr=0.111250, batch loss=0.009568, epoch loss=0.334282 Batch=1019, step=21420, lr=0.111000, batch loss=0.010901, epoch loss=0.345183 Batch=1079, step=21480, lr=0.110750, batch loss=0.001113, epoch loss=0.346296 Batch=1139, step=21540, lr=0.110500, batch loss=0.012532, epoch loss=0.358829 Batch=1199, step=21600, lr=0.110250, batch loss=0.005154, epoch loss=0.363983 Epoch=17, step=21600, lr=0.110250, epoch loss=0.363983 Batch=59, step=21660, lr=0.110000, batch loss=0.001891, epoch loss=0.001891 Batch=119, step=21720, lr=0.109750, batch loss=0.006427, epoch loss=0.008318 Batch=179, step=21780, lr=0.109500, batch loss=0.012712, epoch loss=0.021030 Batch=239, step=21840, lr=0.109250, batch loss=0.011936, epoch loss=0.032966 Batch=299, step=21900, lr=0.109000, batch loss=0.002556, epoch loss=0.035522 Batch=359, step=21960, lr=0.108750, batch loss=0.012363, epoch loss=0.047884 Batch=419, step=22020, lr=0.108500, batch loss=0.011332, epoch loss=0.059216 Batch=479, step=22080, lr=0.108250, batch loss=0.002476, epoch loss=0.061692 Batch=539, step=22140, lr=0.108000, batch loss=0.017055, epoch loss=0.078747 Batch=599, step=22200, lr=0.107750, batch loss=0.017215, epoch loss=0.095962 Batch=659, step=22260, lr=0.107500, batch loss=0.012633, epoch loss=0.108595 Batch=719, step=22320, lr=0.107250, batch loss=0.023190, epoch loss=0.131785 Batch=779, step=22380, lr=0.107000, batch loss=0.036913, epoch loss=0.168698 Batch=839, step=22440, lr=0.106750, batch loss=0.022512, epoch loss=0.191210 Batch=899, step=22500, lr=0.106500, batch loss=0.031154, epoch loss=0.222365 Batch=959, step=22560, lr=0.106250, batch loss=0.009243, epoch loss=0.231608 Batch=1019, step=22620, lr=0.106000, batch loss=0.009154, epoch loss=0.240761 Batch=1079, step=22680, lr=0.105500, batch loss=0.000000, epoch loss=0.240761 Batch=1139, step=22740, lr=0.105500, batch loss=0.009676, epoch loss=0.250437 Batch=1199, step=22800, lr=0.105250, batch loss=0.004955, epoch loss=0.255392 Epoch=18, step=22800, lr=0.105250, epoch loss=0.255392 Batch=59, step=22860, lr=0.105000, batch loss=0.001994, epoch loss=0.001994 Batch=119, step=22920, lr=0.104750, batch loss=0.005499, epoch loss=0.007493 Batch=179, step=22980, lr=0.104500, batch loss=0.010531, epoch loss=0.018024 Batch=239, step=23040, lr=0.104250, batch loss=0.008524, epoch loss=0.026548 Batch=299, step=23100, lr=0.104000, batch loss=0.007011, epoch loss=0.033559 Batch=359, step=23160, lr=0.103750, batch loss=0.011521, epoch loss=0.045080 Batch=419, step=23220, lr=0.103500, batch loss=0.010478, epoch loss=0.055558 Batch=479, step=23280, lr=0.103250, batch loss=0.002514, epoch loss=0.058072 Batch=539, step=23340, lr=0.103000, batch loss=0.017559, epoch loss=0.075631 Batch=599, step=23400, lr=0.102750, batch loss=0.013649, epoch loss=0.089281 Batch=659, step=23460, lr=0.102500, batch loss=0.010303, epoch loss=0.099584 Batch=719, step=23520, lr=0.102250, batch loss=0.011354, epoch loss=0.110938 Batch=779, step=23580, lr=0.102000, batch loss=0.018866, epoch loss=0.129804 Batch=839, step=23640, lr=0.101750, batch loss=0.027368, epoch loss=0.157172 Batch=899, step=23700, lr=0.101500, batch loss=0.020995, epoch loss=0.178168 Batch=959, step=23760, lr=0.101250, batch loss=0.010978, epoch loss=0.189145 Batch=1019, step=23820, lr=0.101000, batch loss=0.008342, epoch loss=0.197488 Batch=1079, step=23880, lr=0.100750, batch loss=0.000079, epoch loss=0.197566 Batch=1139, step=23940, lr=0.100500, batch loss=0.008743, epoch loss=0.206310 Batch=1199, step=24000, lr=0.100250, batch loss=0.004402, epoch loss=0.210712 Epoch=19, step=24000, lr=0.100250, epoch loss=0.210712 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%.........**************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%..............********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%.................***...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:36.30 ---> saved as "c2ff0a34e6e127644abcdffac7e8f170de3a1e9263620b2523d0fc9ed2d80981" Job succeeded 2025-03-20 22:36.32: Job succeeded