2025-03-21 12:35.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f874a4ef6a2411811f90ece5dd5e2dcdb77c2779) (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 f874a4ef cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c # debian-11-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 12:35.26: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c-debian-11-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 12:35.26: Using OBuilder spec: ((from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c) (comment debian-11-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 12:35.26: Waiting for resource in pool OCluster 2025-03-21 12:35.27: Waiting for worker… 2025-03-21 12:36.54: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code (from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c) 2025-03-21 12:38.54 ---> saved as "b4f3e3a5063982bbc841035e188663009352cabdae6127a84a77b2b1e7746a9c" /: (comment debian-11-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 12:38.55 ---> saved as "837909cf357dbef762753eebac80775e6de312510185f4ca5a6cecd3ae4cd0bf" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 31 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=31 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 12:40.24 ---> saved as "126754616a0883edf73855301c586b0218900498f80d24bfe653bbe0af0fda41" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 12:40.25 ---> saved as "f1a850b0d0b34fa431f0064c7e811f48129c9a3c72bcf8cfd6026d2ea544afa4" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 12:40.25 ---> saved as "2ee37b392ed39ae65bd872720b58ef9daa42c6c50406b47cee7e065de030dfee" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..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) 2025-03-21 12:41.45 ---> saved as "43eed9b2620af14dda9b17d57d927cf8f18cd27565b6b6e5db1da1dd96506c0c" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 12:41.46 ---> saved as "ca85100046af1e50532c2ca4856e0a98d658d0e0cf42bca9e269b56b67b3760a" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 12:41.52 ---> saved as "b4d20779886cc71bdc29ec05383e522e1d56dc9ed4bfbb528d4505bc9dae75aa" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 12:41.53 ---> 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 1s (377 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18364 files and directories currently installed.) - Preparing to unpack .../0-libffi-dev_3.3-6_amd64.deb ... - Unpacking libffi-dev:amd64 (3.3-6) ... - Selecting previously unselected package libglib2.0-0:amd64. - Preparing to unpack .../1-libglib2.0-0_2.66.8-1+deb11u5_amd64.deb ... - Unpacking libglib2.0-0:amd64 (2.66.8-1+deb11u5) ... - Selecting previously unselected package libglib2.0-data. - Preparing to unpack .../2-libglib2.0-data_2.66.8-1+deb11u5_all.deb ... - Unpacking libglib2.0-data (2.66.8-1+deb11u5) ... - Selecting previously unselected package libicu67:amd64. - Preparing to unpack .../3-libicu67_67.1-7_amd64.deb ... - Unpacking libicu67:amd64 (67.1-7) ... - Selecting previously unselected package libxml2:amd64. - Preparing to unpack .../4-libxml2_2.9.10+dfsg-6.7+deb11u6_amd64.deb ... - Unpacking libxml2:amd64 (2.9.10+dfsg-6.7+deb11u6) ... - Selecting previously unselected package pkg-config. - Preparing to unpack .../5-pkg-config_0.29.2-1_amd64.deb ... - Unpacking pkg-config (0.29.2-1) ... - Selecting previously unselected package shared-mime-info. - Preparing to unpack .../6-shared-mime-info_2.0-1_amd64.deb ... - Unpacking shared-mime-info (2.0-1) ... - Selecting previously unselected package xdg-user-dirs. - Preparing to unpack .../7-xdg-user-dirs_0.17-2_amd64.deb ... - Unpacking xdg-user-dirs (0.17-2) ... - Setting up libicu67:amd64 (67.1-7) ... - Setting up xdg-user-dirs (0.17-2) ... - Setting up libglib2.0-0:amd64 (2.66.8-1+deb11u5) ... - No schema files found: doing nothing. - Setting up libffi-dev:amd64 (3.3-6) ... - Setting up libglib2.0-data (2.66.8-1+deb11u5) ... - Setting up pkg-config (0.29.2-1) ... - Setting up libxml2:amd64 (2.9.10+dfsg-6.7+deb11u6) ... - Setting up shared-mime-info (2.0-1) ... - Processing triggers for libc-bin (2.31-13+deb11u11) ... 2025-03-21 12:42.38 ---> saved as "82c76151faf9ece368b0c5d5e078fb86b2e2adef0f4f6af7107a2d3e1614702b" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_compare.v0.17.0 (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_minidebug.2.1.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed 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_intrinsics_kernel.v0.17.1 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed base.v0.17.1 -> installed printbox-text.0.12 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> 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_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 12:45.49 ---> saved as "39cbaa7b5803dc3a7980c5e931437b8332532397d7cfd69b50234e8fb09894c4" /src: (copy (src .) (dst /src)) 2025-03-21 12:45.50 ---> saved as "5bb16865d2fb2798d15d5156cbe4158e74c5810c7b457e5cf4cfbe0129ecaa0b" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2f9bf08f887d57dbf53deaa54d7cd11a/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/fbd501f4c5b84f2d8d00c2753c21518e/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2f9bf08f887d57dbf53deaa54d7cd11a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2f9bf08f887d57dbf53deaa54d7cd11a/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/2f9bf08f887d57dbf53deaa54d7cd11a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2f9bf08f887d57dbf53deaa54d7cd11a/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/2f9bf08f887d57dbf53deaa54d7cd11a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2f9bf08f887d57dbf53deaa54d7cd11a/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/2f9bf08f887d57dbf53deaa54d7cd11a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2f9bf08f887d57dbf53deaa54d7cd11a/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/2f9bf08f887d57dbf53deaa54d7cd11a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2f9bf08f887d57dbf53deaa54d7cd11a/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/2f9bf08f887d57dbf53deaa54d7cd11a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2f9bf08f887d57dbf53deaa54d7cd11a/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/2f9bf08f887d57dbf53deaa54d7cd11a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2f9bf08f887d57dbf53deaa54d7cd11a/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/2f9bf08f887d57dbf53deaa54d7cd11a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2f9bf08f887d57dbf53deaa54d7cd11a/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/2f9bf08f887d57dbf53deaa54d7cd11a/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2f9bf08f887d57dbf53deaa54d7cd11a/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/2f9bf08f887d57dbf53deaa54d7cd11a/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=0.199500, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199250, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199000, batch loss=0.846671, epoch loss=35.616880 Batch=299, step=300, lr=0.198750, batch loss=1.454974, epoch loss=37.071854 Batch=359, step=360, lr=0.198500, batch loss=1.326898, epoch loss=38.398752 Batch=419, step=420, lr=0.198250, batch loss=0.621517, epoch loss=39.020269 Batch=479, step=480, lr=0.198000, batch loss=0.818033, epoch loss=39.838301 Batch=539, step=540, lr=0.197750, batch loss=0.697637, epoch loss=40.535939 Batch=599, step=600, lr=0.197750, batch loss=1.059089, epoch loss=41.595027 Batch=659, step=660, lr=0.197250, batch loss=0.485099, epoch loss=42.080126 Batch=719, step=720, lr=0.197000, batch loss=0.412295, epoch loss=42.492421 Batch=779, step=780, lr=0.196750, batch loss=0.471303, epoch loss=42.963724 Batch=839, step=840, lr=0.196750, batch loss=0.448213, epoch loss=43.411937 Batch=899, step=900, lr=0.196250, batch loss=0.385395, epoch loss=43.797332 Batch=959, step=960, lr=0.196000, batch loss=0.248100, epoch loss=44.045432 Batch=1019, step=1020, lr=0.195750, batch loss=0.451746, epoch loss=44.497178 Batch=1079, step=1080, lr=0.195500, batch loss=0.249556, epoch loss=44.746734 Batch=1139, step=1140, lr=0.195500, batch loss=0.328983, epoch loss=45.075718 Batch=1199, step=1200, lr=0.195250, batch loss=0.264687, epoch loss=45.340405 Epoch=0, step=1200, lr=0.195250, epoch loss=45.340405 Batch=59, step=1260, lr=0.194750, batch loss=0.263584, epoch loss=0.263584 Batch=119, step=1320, lr=0.194500, batch loss=0.205753, epoch loss=0.469337 Batch=179, step=1380, lr=0.194500, batch loss=0.243993, epoch loss=0.713330 Batch=239, step=1440, lr=0.194250, batch loss=0.348468, epoch loss=1.061797 Batch=299, step=1500, lr=0.193750, batch loss=0.248440, epoch loss=1.310237 Batch=359, step=1560, lr=0.193750, batch loss=0.317346, epoch loss=1.627583 Batch=419, step=1620, lr=0.193500, batch loss=0.309369, epoch loss=1.936952 Batch=479, step=1680, lr=0.193250, batch loss=0.276082, epoch loss=2.213034 Batch=539, step=1740, lr=0.193000, batch loss=0.210374, epoch loss=2.423408 Batch=599, step=1800, lr=0.192500, batch loss=0.249543, epoch loss=2.672950 Batch=659, step=1860, lr=0.192500, batch loss=0.369398, epoch loss=3.042348 Batch=719, step=1920, lr=0.192250, batch loss=0.365042, epoch loss=3.407390 Batch=779, step=1980, lr=0.192000, batch loss=0.381695, epoch loss=3.789085 Batch=839, step=2040, lr=0.191500, batch loss=0.340578, epoch loss=4.129662 Batch=899, step=2100, lr=0.191250, batch loss=0.295810, epoch loss=4.425472 Batch=959, step=2160, lr=0.191000, batch loss=0.215892, epoch loss=4.641364 Batch=1019, step=2220, lr=0.191000, batch loss=0.327812, epoch loss=4.969177 Batch=1079, step=2280, lr=0.190750, batch loss=0.199280, epoch loss=5.168456 Batch=1139, step=2340, lr=0.190250, batch loss=0.268283, epoch loss=5.436739 Batch=1199, step=2400, lr=0.190000, batch loss=0.221782, epoch loss=5.658521 Epoch=1, step=2400, lr=0.190000, epoch loss=5.658521 Batch=59, step=2460, lr=0.189750, batch loss=0.230981, epoch loss=0.230981 Batch=119, step=2520, lr=0.189750, batch loss=0.196191, epoch loss=0.427173 Batch=179, step=2580, lr=0.189250, batch loss=0.220385, epoch loss=0.647557 Batch=239, step=2640, lr=0.189000, batch loss=0.326891, epoch loss=0.974449 Batch=299, step=2700, lr=0.188750, batch loss=0.204198, epoch loss=1.178646 Batch=359, step=2760, lr=0.188500, batch loss=0.290866, epoch loss=1.469512 Batch=419, step=2820, lr=0.188250, batch loss=0.280630, epoch loss=1.750142 Batch=479, step=2880, lr=0.188000, batch loss=0.257946, epoch loss=2.008088 Batch=539, step=2940, lr=0.188000, batch loss=0.197950, epoch loss=2.206038 Batch=599, step=3000, lr=0.187750, batch loss=0.240573, epoch loss=2.446611 Batch=659, step=3060, lr=0.187500, batch loss=0.346936, epoch loss=2.793547 Batch=719, step=3120, lr=0.187000, batch loss=0.348894, epoch loss=3.142441 Batch=779, step=3180, lr=0.187000, batch loss=0.362466, epoch loss=3.504908 Batch=839, step=3240, lr=0.186750, batch loss=0.324858, epoch loss=3.829766 Batch=899, step=3300, lr=0.186500, batch loss=0.293856, epoch loss=4.123622 Batch=959, step=3360, lr=0.186250, batch loss=0.228558, epoch loss=4.352181 Batch=1019, step=3420, lr=0.185750, batch loss=0.344727, epoch loss=4.696908 Batch=1079, step=3480, lr=0.185500, batch loss=0.225021, epoch loss=4.921929 Batch=1139, step=3540, lr=0.185500, batch loss=0.266177, epoch loss=5.188106 Batch=1199, step=3600, lr=0.185000, batch loss=0.198823, epoch loss=5.386929 Epoch=2, step=3600, lr=0.185000, epoch loss=5.386929 Batch=59, step=3660, lr=0.185000, batch loss=0.226148, epoch loss=0.226148 Batch=119, step=3720, lr=0.184500, batch loss=0.186980, epoch loss=0.413128 Batch=179, step=3780, lr=0.184500, batch loss=0.212876, epoch loss=0.626004 Batch=239, step=3840, lr=0.184250, batch loss=0.316856, epoch loss=0.942860 Batch=299, step=3900, lr=0.184000, batch loss=0.203583, epoch loss=1.146443 Batch=359, step=3960, lr=0.183750, batch loss=0.289218, epoch loss=1.435661 Batch=419, step=4020, lr=0.183500, batch loss=0.274116, epoch loss=1.709777 Batch=479, step=4080, lr=0.183250, batch loss=0.260493, epoch loss=1.970270 Batch=539, step=4140, lr=0.182750, batch loss=0.193972, epoch loss=2.164242 Batch=599, step=4200, lr=0.182750, batch loss=0.230647, epoch loss=2.394890 Batch=659, step=4260, lr=0.182250, batch loss=0.337346, epoch loss=2.732235 Batch=719, step=4320, lr=0.182000, batch loss=0.342370, epoch loss=3.074606 Batch=779, step=4380, lr=0.181750, batch loss=0.352369, epoch loss=3.426974 Batch=839, step=4440, lr=0.181750, batch loss=0.315728, epoch loss=3.742702 Batch=899, step=4500, lr=0.181250, batch loss=0.282302, epoch loss=4.025004 Batch=959, step=4560, lr=0.181250, batch loss=0.219291, epoch loss=4.244295 Batch=1019, step=4620, lr=0.180750, batch loss=0.347841, epoch loss=4.592135 Batch=1079, step=4680, lr=0.180750, batch loss=0.213237, epoch loss=4.805372 Batch=1139, step=4740, lr=0.180500, batch loss=0.247615, epoch loss=5.052987 Batch=1199, step=4800, lr=0.180250, batch loss=0.192029, epoch loss=5.245017 Epoch=3, step=4800, lr=0.180250, epoch loss=5.245017 Batch=59, step=4860, lr=0.180000, batch loss=0.236160, epoch loss=0.236160 Batch=119, step=4920, lr=0.179750, batch loss=0.192740, epoch loss=0.428901 Batch=179, step=4980, lr=0.179250, batch loss=0.207890, epoch loss=0.636791 Batch=239, step=5040, lr=0.179250, batch loss=0.310238, epoch loss=0.947029 Batch=299, step=5100, lr=0.179000, batch loss=0.206243, epoch loss=1.153272 Batch=359, step=5160, lr=0.178500, batch loss=0.275670, epoch loss=1.428942 Batch=419, step=5220, lr=0.178500, batch loss=0.265746, epoch loss=1.694688 Batch=479, step=5280, lr=0.178000, batch loss=0.241919, epoch loss=1.936606 Batch=539, step=5340, lr=0.178000, batch loss=0.188759, epoch loss=2.125366 Batch=599, step=5400, lr=0.177750, batch loss=0.232097, epoch loss=2.357463 Batch=659, step=5460, lr=0.177250, batch loss=0.324479, epoch loss=2.681942 Batch=719, step=5520, lr=0.177000, batch loss=0.321732, epoch loss=3.003674 Batch=779, step=5580, lr=0.177000, batch loss=0.341705, epoch loss=3.345379 Batch=839, step=5640, lr=0.176500, batch loss=0.312298, epoch loss=3.657677 Batch=899, step=5700, lr=0.176500, batch loss=0.271238, epoch loss=3.928916 Batch=959, step=5760, lr=0.176250, batch loss=0.218509, epoch loss=4.147424 Batch=1019, step=5820, lr=0.175750, batch loss=0.332430, epoch loss=4.479854 Batch=1079, step=5880, lr=0.175750, batch loss=0.180167, epoch loss=4.660022 Batch=1139, step=5940, lr=0.175250, batch loss=0.217990, epoch loss=4.878012 Batch=1199, step=6000, lr=0.175250, batch loss=0.190781, epoch loss=5.068793 Epoch=4, step=6000, lr=0.175250, epoch loss=5.068793 Batch=59, step=6060, lr=0.174750, batch loss=0.233581, epoch loss=0.233581 Batch=119, step=6120, lr=0.174750, batch loss=0.193643, epoch loss=0.427224 Batch=179, step=6180, lr=0.174500, batch loss=0.200773, epoch loss=0.627997 Batch=239, step=6240, lr=0.174250, batch loss=0.304121, epoch loss=0.932118 Batch=299, step=6300, lr=0.174000, batch loss=0.209585, epoch loss=1.141702 Batch=359, step=6360, lr=0.173750, batch loss=0.273269, epoch loss=1.414971 Batch=419, step=6420, lr=0.173500, batch loss=0.267841, epoch loss=1.682812 Batch=479, step=6480, lr=0.173250, batch loss=0.242615, epoch loss=1.925427 Batch=539, step=6540, lr=0.173000, batch loss=0.196869, epoch loss=2.122296 Batch=599, step=6600, lr=0.172750, batch loss=0.233585, epoch loss=2.355881 Batch=659, step=6660, lr=0.172250, batch loss=0.313870, epoch loss=2.669751 Batch=719, step=6720, lr=0.172250, batch loss=0.317691, epoch loss=2.987442 Batch=779, step=6780, lr=0.172000, batch loss=0.330868, epoch loss=3.318310 Batch=839, step=6840, lr=0.171750, batch loss=0.307533, epoch loss=3.625843 Batch=899, step=6900, lr=0.171250, batch loss=0.268469, epoch loss=3.894312 Batch=959, step=6960, lr=0.171250, batch loss=0.208937, epoch loss=4.103249 Batch=1019, step=7020, lr=0.171000, batch loss=0.327624, epoch loss=4.430873 Batch=1079, step=7080, lr=0.170750, batch loss=0.184733, epoch loss=4.615606 Batch=1139, step=7140, lr=0.170500, batch loss=0.216046, epoch loss=4.831652 Batch=1199, step=7200, lr=0.170250, batch loss=0.182164, epoch loss=5.013817 Epoch=5, step=7200, lr=0.170250, epoch loss=5.013817 Batch=59, step=7260, lr=0.170000, batch loss=0.236894, epoch loss=0.236894 Batch=119, step=7320, lr=0.169500, batch loss=0.182522, epoch loss=0.419416 Batch=179, step=7380, lr=0.169500, batch loss=0.196031, epoch loss=0.615447 Batch=239, step=7440, lr=0.169000, batch loss=0.295392, epoch loss=0.910838 Batch=299, step=7500, lr=0.169000, batch loss=0.202591, epoch loss=1.113430 Batch=359, step=7560, lr=0.168750, batch loss=0.257979, epoch loss=1.371409 Batch=419, step=7620, lr=0.168250, batch loss=0.256799, epoch loss=1.628208 Batch=479, step=7680, lr=0.168250, batch loss=0.237822, epoch loss=1.866030 Batch=539, step=7740, lr=0.167750, batch loss=0.187685, epoch loss=2.053715 Batch=599, step=7800, lr=0.167750, batch loss=0.223412, epoch loss=2.277128 Batch=659, step=7860, lr=0.167500, batch loss=0.305408, epoch loss=2.582535 Batch=719, step=7920, lr=0.167000, batch loss=0.310313, epoch loss=2.892848 Batch=779, step=7980, lr=0.167000, batch loss=0.329795, epoch loss=3.222643 Batch=839, step=8040, lr=0.166750, batch loss=0.291581, epoch loss=3.514224 Batch=899, step=8100, lr=0.166500, batch loss=0.258921, epoch loss=3.773145 Batch=959, step=8160, lr=0.166000, batch loss=0.200877, epoch loss=3.974022 Batch=1019, step=8220, lr=0.166000, batch loss=0.320276, epoch loss=4.294298 Batch=1079, step=8280, lr=0.165750, batch loss=0.168160, epoch loss=4.462458 Batch=1139, step=8340, lr=0.165500, batch loss=0.205795, epoch loss=4.668253 Batch=1199, step=8400, lr=0.165250, batch loss=0.176721, epoch loss=4.844974 Epoch=6, step=8400, lr=0.165250, epoch loss=4.844974 Batch=59, step=8460, lr=0.165000, batch loss=0.224214, epoch loss=0.224214 Batch=119, step=8520, lr=0.164750, batch loss=0.179523, epoch loss=0.403737 Batch=179, step=8580, lr=0.164500, batch loss=0.187834, epoch loss=0.591571 Batch=239, step=8640, lr=0.164250, batch loss=0.278200, epoch loss=0.869770 Batch=299, step=8700, lr=0.164000, batch loss=0.190374, epoch loss=1.060144 Batch=359, step=8760, lr=0.163750, batch loss=0.244488, epoch loss=1.304632 Batch=419, step=8820, lr=0.163250, batch loss=0.239262, epoch loss=1.543894 Batch=479, step=8880, lr=0.163000, batch loss=0.214738, epoch loss=1.758633 Batch=539, step=8940, lr=0.162750, batch loss=0.178799, epoch loss=1.937431 Batch=599, step=9000, lr=0.162500, batch loss=0.219731, epoch loss=2.157163 Batch=659, step=9060, lr=0.162500, batch loss=0.293467, epoch loss=2.450630 Batch=719, step=9120, lr=0.162250, batch loss=0.294848, epoch loss=2.745478 Batch=779, step=9180, lr=0.162000, batch loss=0.315398, epoch loss=3.060876 Batch=839, step=9240, lr=0.161750, batch loss=0.287321, epoch loss=3.348197 Batch=899, step=9300, lr=0.161500, batch loss=0.250623, epoch loss=3.598819 Batch=959, step=9360, lr=0.161250, batch loss=0.190468, epoch loss=3.789288 Batch=1019, step=9420, lr=0.161000, batch loss=0.317433, epoch loss=4.106721 Batch=1079, step=9480, lr=0.160750, batch loss=0.202700, epoch loss=4.309421 Batch=1139, step=9540, lr=0.160500, batch loss=0.217691, epoch loss=4.527111 Batch=1199, step=9600, lr=0.160000, batch loss=0.166416, epoch loss=4.693527 Epoch=7, step=9600, lr=0.160000, epoch loss=4.693527 Batch=59, step=9660, lr=0.159750, batch loss=0.196668, epoch loss=0.196668 Batch=119, step=9720, lr=0.159750, batch loss=0.166468, epoch loss=0.363137 Batch=179, step=9780, lr=0.159500, batch loss=0.179327, epoch loss=0.542464 Batch=239, step=9840, lr=0.159250, batch loss=0.262810, epoch loss=0.805274 Batch=299, step=9900, lr=0.158750, batch loss=0.183477, epoch loss=0.988751 Batch=359, step=9960, lr=0.158750, batch loss=0.243076, epoch loss=1.231827 Batch=419, step=10020, lr=0.158250, batch loss=0.233989, epoch loss=1.465815 Batch=479, step=10080, lr=0.158250, batch loss=0.221110, epoch loss=1.686925 Batch=539, step=10140, lr=0.158000, batch loss=0.170080, epoch loss=1.857005 Batch=599, step=10200, lr=0.157750, batch loss=0.203995, epoch loss=2.061000 Batch=659, step=10260, lr=0.157500, batch loss=0.281077, epoch loss=2.342077 Batch=719, step=10320, lr=0.157250, batch loss=0.288108, epoch loss=2.630185 Batch=779, step=10380, lr=0.157000, batch loss=0.294459, epoch loss=2.924644 Batch=839, step=10440, lr=0.156750, batch loss=0.266019, epoch loss=3.190663 Batch=899, step=10500, lr=0.156500, batch loss=0.238073, epoch loss=3.428736 Batch=959, step=10560, lr=0.156250, batch loss=0.200816, epoch loss=3.629552 Batch=1019, step=10620, lr=0.156000, batch loss=0.278648, epoch loss=3.908200 Batch=1079, step=10680, lr=0.155750, batch loss=0.158445, epoch loss=4.066645 Batch=1139, step=10740, lr=0.155500, batch loss=0.189640, epoch loss=4.256286 Batch=1199, step=10800, lr=0.155250, batch loss=0.154617, epoch loss=4.410902 Epoch=8, step=10800, lr=0.155250, epoch loss=4.410902 Batch=59, step=10860, lr=0.155000, batch loss=0.177676, epoch loss=0.177676 Batch=119, step=10920, lr=0.154750, batch loss=0.151327, epoch loss=0.329003 Batch=179, step=10980, lr=0.154500, batch loss=0.165920, epoch loss=0.494923 Batch=239, step=11040, lr=0.154250, batch loss=0.240590, epoch loss=0.735513 Batch=299, step=11100, lr=0.154000, batch loss=0.173868, epoch loss=0.909382 Batch=359, step=11160, lr=0.153750, batch loss=0.219890, epoch loss=1.129272 Batch=419, step=11220, lr=0.153500, batch loss=0.219174, epoch loss=1.348446 Batch=479, step=11280, lr=0.153250, batch loss=0.210739, epoch loss=1.559185 Batch=539, step=11340, lr=0.152750, batch loss=0.164782, epoch loss=1.723967 Batch=599, step=11400, lr=0.152750, batch loss=0.176633, epoch loss=1.900601 Batch=659, step=11460, lr=0.152250, batch loss=0.266668, epoch loss=2.167269 Batch=719, step=11520, lr=0.152250, batch loss=0.261930, epoch loss=2.429199 Batch=779, step=11580, lr=0.152000, batch loss=0.274055, epoch loss=2.703253 Batch=839, step=11640, lr=0.151750, batch loss=0.257578, epoch loss=2.960831 Batch=899, step=11700, lr=0.151250, batch loss=0.213011, epoch loss=3.173842 Batch=959, step=11760, lr=0.151000, batch loss=0.168883, epoch loss=3.342725 Batch=1019, step=11820, lr=0.151000, batch loss=0.269202, epoch loss=3.611928 Batch=1079, step=11880, lr=0.150500, batch loss=0.147613, epoch loss=3.759541 Batch=1139, step=11940, lr=0.150500, batch loss=0.195314, epoch loss=3.954856 Batch=1199, step=12000, lr=0.150250, batch loss=0.139824, epoch loss=4.094680 Epoch=9, step=12000, lr=0.150250, epoch loss=4.094680 Batch=59, step=12060, lr=0.150000, batch loss=0.159816, epoch loss=0.159816 Batch=119, step=12120, lr=0.149500, batch loss=0.131547, epoch loss=0.291364 Batch=179, step=12180, lr=0.149500, batch loss=0.150453, epoch loss=0.441817 Batch=239, step=12240, lr=0.149250, batch loss=0.220364, epoch loss=0.662180 Batch=299, step=12300, lr=0.149000, batch loss=0.138792, epoch loss=0.800972 Batch=359, step=12360, lr=0.148750, batch loss=0.198517, epoch loss=0.999489 Batch=419, step=12420, lr=0.148500, batch loss=0.207525, epoch loss=1.207014 Batch=479, step=12480, lr=0.148000, batch loss=0.178354, epoch loss=1.385368 Batch=539, step=12540, lr=0.147750, batch loss=0.143139, epoch loss=1.528507 Batch=599, step=12600, lr=0.147750, batch loss=0.149894, epoch loss=1.678401 Batch=659, step=12660, lr=0.147500, batch loss=0.225712, epoch loss=1.904113 Batch=719, step=12720, lr=0.147250, batch loss=0.235324, epoch loss=2.139437 Batch=779, step=12780, lr=0.147000, batch loss=0.261685, epoch loss=2.401122 Batch=839, step=12840, lr=0.146500, batch loss=0.231264, epoch loss=2.632387 Batch=899, step=12900, lr=0.146250, batch loss=0.206720, epoch loss=2.839107 Batch=959, step=12960, lr=0.146250, batch loss=0.161095, epoch loss=3.000202 Batch=1019, step=13020, lr=0.145750, batch loss=0.259868, epoch loss=3.260069 Batch=1079, step=13080, lr=0.145750, batch loss=0.116457, epoch loss=3.376527 Batch=1139, step=13140, lr=0.145500, batch loss=0.154223, epoch loss=3.530750 Batch=1199, step=13200, lr=0.145000, batch loss=0.117644, epoch loss=3.648393 Epoch=10, step=13200, lr=0.145000, epoch loss=3.648393 Batch=59, step=13260, lr=0.145000, batch loss=0.145424, epoch loss=0.145424 Batch=119, step=13320, lr=0.144750, batch loss=0.124847, epoch loss=0.270270 Batch=179, step=13380, lr=0.144250, batch loss=0.130726, epoch loss=0.400997 Batch=239, step=13440, lr=0.144000, batch loss=0.191182, epoch loss=0.592179 Batch=299, step=13500, lr=0.144000, batch loss=0.120539, epoch loss=0.712718 Batch=359, step=13560, lr=0.143750, batch loss=0.164513, epoch loss=0.877231 Batch=419, step=13620, lr=0.143500, batch loss=0.161345, epoch loss=1.038576 Batch=479, step=13680, lr=0.143000, batch loss=0.147719, epoch loss=1.186295 Batch=539, step=13740, lr=0.143000, batch loss=0.118469, epoch loss=1.304764 Batch=599, step=13800, lr=0.142750, batch loss=0.120314, epoch loss=1.425078 Batch=659, step=13860, lr=0.142500, batch loss=0.176541, epoch loss=1.601619 Batch=719, step=13920, lr=0.142250, batch loss=0.178918, epoch loss=1.780537 Batch=779, step=13980, lr=0.142000, batch loss=0.197054, epoch loss=1.977592 Batch=839, step=14040, lr=0.141750, batch loss=0.188498, epoch loss=2.166090 Batch=899, step=14100, lr=0.141250, batch loss=0.157446, epoch loss=2.323536 Batch=959, step=14160, lr=0.141250, batch loss=0.136072, epoch loss=2.459609 Batch=1019, step=14220, lr=0.141000, batch loss=0.282428, epoch loss=2.742037 Batch=1079, step=14280, lr=0.140750, batch loss=0.085788, epoch loss=2.827825 Batch=1139, step=14340, lr=0.140500, batch loss=0.132332, epoch loss=2.960157 Batch=1199, step=14400, lr=0.140250, batch loss=0.093719, epoch loss=3.053876 Epoch=11, step=14400, lr=0.140250, epoch loss=3.053876 Batch=59, step=14460, lr=0.139750, batch loss=0.118940, epoch loss=0.118940 Batch=119, step=14520, lr=0.139750, batch loss=0.105911, epoch loss=0.224851 Batch=179, step=14580, lr=0.139500, batch loss=0.103651, epoch loss=0.328502 Batch=239, step=14640, lr=0.139250, batch loss=0.143152, epoch loss=0.471654 Batch=299, step=14700, lr=0.139000, batch loss=0.076390, epoch loss=0.548044 Batch=359, step=14760, lr=0.138500, batch loss=0.120958, epoch loss=0.669002 Batch=419, step=14820, lr=0.138500, batch loss=0.131819, epoch loss=0.800822 Batch=479, step=14880, lr=0.138250, batch loss=0.100199, epoch loss=0.901020 Batch=539, step=14940, lr=0.137750, batch loss=0.091250, epoch loss=0.992271 Batch=599, step=15000, lr=0.137750, batch loss=0.084492, epoch loss=1.076763 Batch=659, step=15060, lr=0.137500, batch loss=0.128851, epoch loss=1.205614 Batch=719, step=15120, lr=0.137250, batch loss=0.134080, epoch loss=1.339693 Batch=779, step=15180, lr=0.137000, batch loss=0.180538, epoch loss=1.520231 Batch=839, step=15240, lr=0.136500, batch loss=0.164175, epoch loss=1.684406 Batch=899, step=15300, lr=0.136500, batch loss=0.290926, epoch loss=1.975332 Batch=959, step=15360, lr=0.136250, batch loss=0.055312, epoch loss=2.030643 Batch=1019, step=15420, lr=0.136000, batch loss=0.132250, epoch loss=2.162893 Batch=1079, step=15480, lr=0.135750, batch loss=0.046109, epoch loss=2.209003 Batch=1139, step=15540, lr=0.135500, batch loss=0.101301, epoch loss=2.310304 Batch=1199, step=15600, lr=0.135250, batch loss=0.061034, epoch loss=2.371337 Epoch=12, step=15600, lr=0.135250, epoch loss=2.371337 Batch=59, step=15660, lr=0.135000, batch loss=0.083599, epoch loss=0.083599 Batch=119, step=15720, lr=0.134750, batch loss=0.116910, epoch loss=0.200509 Batch=179, step=15780, lr=0.134500, batch loss=0.095325, epoch loss=0.295834 Batch=239, step=15840, lr=0.134250, batch loss=0.095754, epoch loss=0.391588 Batch=299, step=15900, lr=0.134000, batch loss=0.040198, epoch loss=0.431786 Batch=359, step=15960, lr=0.133750, batch loss=0.082405, epoch loss=0.514191 Batch=419, step=16020, lr=0.133500, batch loss=0.079729, epoch loss=0.593919 Batch=479, step=16080, lr=0.133250, batch loss=0.062153, epoch loss=0.656072 Batch=539, step=16140, lr=0.132750, batch loss=0.056888, epoch loss=0.712960 Batch=599, step=16200, lr=0.132750, batch loss=0.110424, epoch loss=0.823384 Batch=659, step=16260, lr=0.132500, batch loss=0.079365, epoch loss=0.902749 Batch=719, step=16320, lr=0.132250, batch loss=0.134596, epoch loss=1.037345 Batch=779, step=16380, lr=0.132000, batch loss=0.337174, epoch loss=1.374519 Batch=839, step=16440, lr=0.131750, batch loss=0.096379, epoch loss=1.470898 Batch=899, step=16500, lr=0.131500, batch loss=0.084136, epoch loss=1.555034 Batch=959, step=16560, lr=0.131000, batch loss=0.031653, epoch loss=1.586687 Batch=1019, step=16620, lr=0.131000, batch loss=0.063515, epoch loss=1.650202 Batch=1079, step=16680, lr=0.130750, batch loss=0.056502, epoch loss=1.706704 Batch=1139, step=16740, lr=0.130500, batch loss=0.105730, epoch loss=1.812434 Batch=1199, step=16800, lr=0.130000, batch loss=0.051791, epoch loss=1.864226 Epoch=13, step=16800, lr=0.130000, epoch loss=1.864226 Batch=59, step=16860, lr=0.130000, batch loss=0.035977, epoch loss=0.035977 Batch=119, step=16920, lr=0.129750, batch loss=0.033976, epoch loss=0.069953 Batch=179, step=16980, lr=0.129250, batch loss=0.045149, epoch loss=0.115102 Batch=239, step=17040, lr=0.129250, batch loss=0.059634, epoch loss=0.174736 Batch=299, step=17100, lr=0.128750, batch loss=0.019200, epoch loss=0.193936 Batch=359, step=17160, lr=0.128750, batch loss=0.045427, epoch loss=0.239363 Batch=419, step=17220, lr=0.128250, batch loss=0.045951, epoch loss=0.285314 Batch=479, step=17280, lr=0.128250, batch loss=0.031757, epoch loss=0.317071 Batch=539, step=17340, lr=0.128000, batch loss=0.039676, epoch loss=0.356747 Batch=599, step=17400, lr=0.127750, batch loss=0.088493, epoch loss=0.445239 Batch=659, step=17460, lr=0.127500, batch loss=0.052792, epoch loss=0.498031 Batch=719, step=17520, lr=0.127250, batch loss=0.072576, epoch loss=0.570607 Batch=779, step=17580, lr=0.127000, batch loss=0.110384, epoch loss=0.680991 Batch=839, step=17640, lr=0.126750, batch loss=0.079414, epoch loss=0.760406 Batch=899, step=17700, lr=0.126500, batch loss=0.104549, epoch loss=0.864954 Batch=959, step=17760, lr=0.126250, batch loss=0.027747, epoch loss=0.892702 Batch=1019, step=17820, lr=0.126000, batch loss=0.064524, epoch loss=0.957226 Batch=1079, step=17880, lr=0.125750, batch loss=0.020964, epoch loss=0.978190 Batch=1139, step=17940, lr=0.125500, batch loss=0.042529, epoch loss=1.020719 Batch=1199, step=18000, lr=0.125250, batch loss=0.017913, epoch loss=1.038631 Epoch=14, step=18000, lr=0.125250, epoch loss=1.038631 Batch=59, step=18060, lr=0.125000, batch loss=0.014276, epoch loss=0.014276 Batch=119, step=18120, lr=0.124750, batch loss=0.020454, epoch loss=0.034730 Batch=179, step=18180, lr=0.124500, batch loss=0.029836, epoch loss=0.064565 Batch=239, step=18240, lr=0.124250, batch loss=0.034246, epoch loss=0.098812 Batch=299, step=18300, lr=0.123750, batch loss=0.009231, epoch loss=0.108042 Batch=359, step=18360, lr=0.123750, batch loss=0.026498, epoch loss=0.134541 Batch=419, step=18420, lr=0.123500, batch loss=0.036476, epoch loss=0.171017 Batch=479, step=18480, lr=0.123250, batch loss=0.020857, epoch loss=0.191874 Batch=539, step=18540, lr=0.123000, batch loss=0.046275, epoch loss=0.238150 Batch=599, step=18600, lr=0.122750, batch loss=0.025674, epoch loss=0.263823 Batch=659, step=18660, lr=0.122500, batch loss=0.033559, epoch loss=0.297382 Batch=719, step=18720, lr=0.122000, batch loss=0.031035, epoch loss=0.328417 Batch=779, step=18780, lr=0.121750, batch loss=0.080952, epoch loss=0.409368 Batch=839, step=18840, lr=0.121750, batch loss=0.050644, epoch loss=0.460012 Batch=899, step=18900, lr=0.121500, batch loss=0.050953, epoch loss=0.510965 Batch=959, step=18960, lr=0.121000, batch loss=0.013415, epoch loss=0.524380 Batch=1019, step=19020, lr=0.121000, batch loss=0.018671, epoch loss=0.543051 Batch=1079, step=19080, lr=0.120750, batch loss=0.009216, epoch loss=0.552267 Batch=1139, step=19140, lr=0.120250, batch loss=0.023229, epoch loss=0.575497 Batch=1199, step=19200, lr=0.120250, batch loss=0.009388, epoch loss=0.584885 Epoch=15, step=19200, lr=0.120250, epoch loss=0.584885 Batch=59, step=19260, lr=0.120000, batch loss=0.004482, epoch loss=0.004482 Batch=119, step=19320, lr=0.119750, batch loss=0.022363, epoch loss=0.026844 Batch=179, step=19380, lr=0.119500, batch loss=0.058296, epoch loss=0.085140 Batch=239, step=19440, lr=0.119250, batch loss=0.025500, epoch loss=0.110641 Batch=299, step=19500, lr=0.119000, batch loss=0.016128, epoch loss=0.126768 Batch=359, step=19560, lr=0.118750, batch loss=0.034415, epoch loss=0.161183 Batch=419, step=19620, lr=0.118500, batch loss=0.021471, epoch loss=0.182654 Batch=479, step=19680, lr=0.118250, batch loss=0.008061, epoch loss=0.190716 Batch=539, step=19740, lr=0.118000, batch loss=0.019665, epoch loss=0.210380 Batch=599, step=19800, lr=0.117500, batch loss=0.024001, epoch loss=0.234382 Batch=659, step=19860, lr=0.117500, batch loss=0.022524, epoch loss=0.256905 Batch=719, step=19920, lr=0.117000, batch loss=0.047485, epoch loss=0.304391 Batch=779, step=19980, lr=0.116750, batch loss=0.086970, epoch loss=0.391361 Batch=839, step=20040, lr=0.116500, batch loss=0.031198, epoch loss=0.422559 Batch=899, step=20100, lr=0.116500, batch loss=0.032061, epoch loss=0.454620 Batch=959, step=20160, lr=0.116250, batch loss=0.011275, epoch loss=0.465894 Batch=1019, step=20220, lr=0.116000, batch loss=0.014494, epoch loss=0.480388 Batch=1079, step=20280, lr=0.115750, batch loss=0.002335, epoch loss=0.482723 Batch=1139, step=20340, lr=0.115500, batch loss=0.015107, epoch loss=0.497830 Batch=1199, step=20400, lr=0.115250, batch loss=0.006097, epoch loss=0.503927 Epoch=16, step=20400, lr=0.115250, epoch loss=0.503927 Batch=59, step=20460, lr=0.115000, batch loss=0.002881, epoch loss=0.002881 Batch=119, step=20520, lr=0.114750, batch loss=0.009719, epoch loss=0.012600 Batch=179, step=20580, lr=0.114500, batch loss=0.025735, epoch loss=0.038336 Batch=239, step=20640, lr=0.114250, batch loss=0.015527, epoch loss=0.053863 Batch=299, step=20700, lr=0.114000, batch loss=0.003042, epoch loss=0.056905 Batch=359, step=20760, lr=0.113750, batch loss=0.013326, epoch loss=0.070231 Batch=419, step=20820, lr=0.113500, batch loss=0.014101, epoch loss=0.084332 Batch=479, step=20880, lr=0.113250, batch loss=0.005887, epoch loss=0.090219 Batch=539, step=20940, lr=0.113000, batch loss=0.015377, epoch loss=0.105596 Batch=599, step=21000, lr=0.112750, batch loss=0.018257, epoch loss=0.123853 Batch=659, step=21060, lr=0.112500, batch loss=0.015993, epoch loss=0.139846 Batch=719, step=21120, lr=0.112250, batch loss=0.036488, epoch loss=0.176334 Batch=779, step=21180, lr=0.112000, batch loss=0.074086, epoch loss=0.250421 Batch=839, step=21240, lr=0.111750, batch loss=0.026706, epoch loss=0.277127 Batch=899, step=21300, lr=0.111500, batch loss=0.033144, epoch loss=0.310271 Batch=959, step=21360, lr=0.111250, batch loss=0.009772, epoch loss=0.320043 Batch=1019, step=21420, lr=0.111000, batch loss=0.011259, epoch loss=0.331302 Batch=1079, step=21480, lr=0.110750, batch loss=0.001041, epoch loss=0.332343 Batch=1139, step=21540, lr=0.110500, batch loss=0.013071, epoch loss=0.345414 Batch=1199, step=21600, lr=0.110250, batch loss=0.005184, epoch loss=0.350598 Epoch=17, step=21600, lr=0.110250, epoch loss=0.350598 Batch=59, step=21660, lr=0.109750, batch loss=0.002440, epoch loss=0.002440 Batch=119, step=21720, lr=0.109500, batch loss=0.006524, epoch loss=0.008963 Batch=179, step=21780, lr=0.109500, batch loss=0.012903, epoch loss=0.021867 Batch=239, step=21840, lr=0.109000, batch loss=0.010148, epoch loss=0.032015 Batch=299, step=21900, lr=0.108750, batch loss=0.013524, epoch loss=0.045539 Batch=359, step=21960, lr=0.108750, batch loss=0.012553, epoch loss=0.058092 Batch=419, step=22020, lr=0.108500, batch loss=0.012060, epoch loss=0.070152 Batch=479, step=22080, lr=0.108250, batch loss=0.002743, epoch loss=0.072894 Batch=539, step=22140, lr=0.108000, batch loss=0.018091, epoch loss=0.090985 Batch=599, step=22200, lr=0.107750, batch loss=0.016864, epoch loss=0.107850 Batch=659, step=22260, lr=0.107500, batch loss=0.015122, epoch loss=0.122972 Batch=719, step=22320, lr=0.107250, batch loss=0.024688, epoch loss=0.147660 Batch=779, step=22380, lr=0.107000, batch loss=0.036070, epoch loss=0.183730 Batch=839, step=22440, lr=0.106750, batch loss=0.026103, epoch loss=0.209833 Batch=899, step=22500, lr=0.106500, batch loss=0.026874, epoch loss=0.236707 Batch=959, step=22560, lr=0.106250, batch loss=0.008924, epoch loss=0.245631 Batch=1019, step=22620, lr=0.106000, batch loss=0.010153, epoch loss=0.255784 Batch=1079, step=22680, lr=0.105750, batch loss=0.000873, epoch loss=0.256657 Batch=1139, step=22740, lr=0.105250, batch loss=0.010526, epoch loss=0.267183 Batch=1199, step=22800, lr=0.105000, batch loss=0.004854, epoch loss=0.272037 Epoch=18, step=22800, lr=0.105000, epoch loss=0.272037 Batch=59, step=22860, lr=0.105000, batch loss=0.001918, epoch loss=0.001918 Batch=119, step=22920, lr=0.104750, batch loss=0.005496, epoch loss=0.007414 Batch=179, step=22980, lr=0.104500, batch loss=0.010639, epoch loss=0.018053 Batch=239, step=23040, lr=0.104250, batch loss=0.008948, epoch loss=0.027002 Batch=299, step=23100, lr=0.104000, batch loss=0.001520, epoch loss=0.028522 Batch=359, step=23160, lr=0.103750, batch loss=0.011641, epoch loss=0.040163 Batch=419, step=23220, lr=0.103500, batch loss=0.010091, epoch loss=0.050254 Batch=479, step=23280, lr=0.103250, batch loss=0.002484, epoch loss=0.052738 Batch=539, step=23340, lr=0.103000, batch loss=0.017217, epoch loss=0.069955 Batch=599, step=23400, lr=0.102750, batch loss=0.013561, epoch loss=0.083516 Batch=659, step=23460, lr=0.102500, batch loss=0.011336, epoch loss=0.094852 Batch=719, step=23520, lr=0.102250, batch loss=0.009945, epoch loss=0.104797 Batch=779, step=23580, lr=0.102000, batch loss=0.015896, epoch loss=0.120693 Batch=839, step=23640, lr=0.101750, batch loss=0.024801, epoch loss=0.145494 Batch=899, step=23700, lr=0.101500, batch loss=0.022683, epoch loss=0.168177 Batch=959, step=23760, lr=0.101250, batch loss=0.007740, epoch loss=0.175917 Batch=1019, step=23820, lr=0.101000, batch loss=0.007926, epoch loss=0.183843 Batch=1079, step=23880, lr=0.100750, batch loss=0.000721, epoch loss=0.184564 Batch=1139, step=23940, lr=0.100500, batch loss=0.008737, epoch loss=0.193301 Batch=1199, step=24000, lr=0.100250, batch loss=0.004082, epoch loss=0.197382 Epoch=19, step=24000, lr=0.100250, epoch loss=0.197382 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############****************************************.│ │********######*####*********************************###*###*#***********************************....│ │*******######**##*************....*****************#*######*#********************************.......│ │*******##*##**##**********...........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########**************************........%.│ │******######***********.........%........***************##*#####*************************.....%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*******************........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###*************.............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 12:47.13 ---> saved as "96c307d766ff035526de00441afc61a07c4c63879b378082a966c113fcb3a432" Job succeeded 2025-03-21 12:47.15: Job succeeded