2025-03-20 14:55.23: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (367be2655cf44dcf622960079750a99cdec03fe8) (linux-x86_64:ubuntu-24.10-5.3_opam-2.3) Base: ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 367be265 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100 # ubuntu-24.10-5.3_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 14:55.23: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100-ubuntu-24.10-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 14:55.23: Using OBuilder spec: ((from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) (comment ubuntu-24.10-5.3_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 14:55.23: Waiting for resource in pool OCluster 2025-03-20 14:55.23: Waiting for worker… 2025-03-20 16:33.39: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 367be265 Load log_level earlier to consistently log all settings (from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) 2025-03-20 16:36.46 ---> using "4596744fc3a31520e92f77a93ddee1465e358aef6e37bdf13eead77f318ac19c" from cache /: (comment ubuntu-24.10-5.3_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 16:36.46 ---> saved as "92dbdccd2ae7da2a97a55cfcdaa39d620d5e2e1b8b97f3dba7905ee379079ded" /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 Format upgrade done. [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 <><> 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 16:38.45 ---> saved as "34037fa2027c885ef052f6b26bda0c39d7430cd2fd9bfeab1b457c754e5b1f3d" /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 16:38.46 ---> saved as "ad2ab2a4f4e9ea6d10f2f7d75a528b347a9df63d0147bccbe314000671024be6" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 16:38.46 ---> saved as "e61d4d6fb57c73a00b7acab9d8781ac5302befef711b2735a195337b8e68d737" /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 16:40.34 ---> saved as "b874972d3e4076a232741d0cfa563d8019de8c9040d9b0425ca0556b4c7df6ae" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 16:40.34 ---> saved as "d4b1a119b543873fb23a47b88ebf62c03a2f7026db8f7e7fce2cc9d26d2bed25" /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 16:40.43 ---> saved as "c060fa887757589fca6d50d58cf631964198f1f88b3fdb338ebaeed5047b1184" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 16:40.44 ---> saved as "18078c602edcc5788c8461624b565cfa74482a1d3e75db2bbce8a7eb9ee7a139" /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" - Get:1 http://security.ubuntu.com/ubuntu oracular-security InRelease [126 kB] - Hit:2 http://archive.ubuntu.com/ubuntu oracular InRelease - Get:3 http://archive.ubuntu.com/ubuntu oracular-updates InRelease [126 kB] - Get:4 http://archive.ubuntu.com/ubuntu oracular-backports InRelease [126 kB] - Get:5 http://security.ubuntu.com/ubuntu oracular-security/universe amd64 Packages [190 kB] - Get:6 http://security.ubuntu.com/ubuntu oracular-security/main amd64 Packages [300 kB] - Get:7 http://archive.ubuntu.com/ubuntu oracular-updates/universe amd64 Packages [258 kB] - Get:8 http://archive.ubuntu.com/ubuntu oracular-updates/main amd64 Packages [421 kB] - Fetched 1548 kB in 1s (1366 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 libpkgconf3: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 ... 16145 files and directories currently installed.) - Preparing to unpack .../libpkgconf3_1.8.1-3ubuntu1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../libffi-dev_3.4.6-1build1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libpkgconf3:amd64 (1.8.1-3ubuntu1) ... - Setting up pkgconf-bin (1.8.1-3ubuntu1) ... - Setting up pkgconf:amd64 (1.8.1-3ubuntu1) ... - Setting up pkg-config:amd64 (1.8.1-3ubuntu1) ... - Processing triggers for libc-bin (2.40-1ubuntu3.1) ... 2025-03-20 16:41.34 ---> saved as "5448ea584b520bb61c4987745362a9e469e1b2087be0e9f523e9d15d0a63a053" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_derivers.1.2.1 (cached) -> 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_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> 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 base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> 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_variants_conv.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 16:47.52 ---> saved as "cba6c019bedd9a4b8fb72b2e06f10c829df6e3a45923bf267e061e329f248966" /src: (copy (src .) (dst /src)) 2025-03-20 16:47.53 ---> saved as "8feb9684f13a24eea50a1705c4171001b272a7f4bb92af96d1acc7e9c39f9326" /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/e5b0e2c1f687a35b6f9bc5ab58757768/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/e5b0e2c1f687a35b6f9bc5ab58757768/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5b0e2c1f687a35b6f9bc5ab58757768/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/e5b0e2c1f687a35b6f9bc5ab58757768/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5b0e2c1f687a35b6f9bc5ab58757768/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/e5b0e2c1f687a35b6f9bc5ab58757768/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5b0e2c1f687a35b6f9bc5ab58757768/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/92d7a546a191e0ee4ff154af8f2d34f4/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/e5b0e2c1f687a35b6f9bc5ab58757768/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5b0e2c1f687a35b6f9bc5ab58757768/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/e5b0e2c1f687a35b6f9bc5ab58757768/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5b0e2c1f687a35b6f9bc5ab58757768/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/e5b0e2c1f687a35b6f9bc5ab58757768/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5b0e2c1f687a35b6f9bc5ab58757768/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/e5b0e2c1f687a35b6f9bc5ab58757768/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5b0e2c1f687a35b6f9bc5ab58757768/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/e5b0e2c1f687a35b6f9bc5ab58757768/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5b0e2c1f687a35b6f9bc5ab58757768/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/e5b0e2c1f687a35b6f9bc5ab58757768/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e5b0e2c1f687a35b6f9bc5ab58757768/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/e5b0e2c1f687a35b6f9bc5ab58757768/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=0.198500, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.617856, epoch loss=39.019367 Batch=479, step=480, lr=0.198000, batch loss=0.823291, epoch loss=39.842658 Batch=539, step=540, lr=0.198000, batch loss=0.687397, epoch loss=40.530055 Batch=599, step=600, lr=0.197750, batch loss=1.066846, epoch loss=41.596901 Batch=659, step=660, lr=0.197500, batch loss=0.482997, epoch loss=42.079899 Batch=719, step=720, lr=0.197000, batch loss=0.411271, epoch loss=42.491169 Batch=779, step=780, lr=0.197000, batch loss=0.468810, epoch loss=42.959980 Batch=839, step=840, lr=0.196750, batch loss=0.443182, epoch loss=43.403161 Batch=899, step=900, lr=0.196500, batch loss=0.383645, epoch loss=43.786806 Batch=959, step=960, lr=0.196250, batch loss=0.237167, epoch loss=44.023973 Batch=1019, step=1020, lr=0.196000, batch loss=0.440363, epoch loss=44.464336 Batch=1079, step=1080, lr=0.195750, batch loss=0.229260, epoch loss=44.693596 Batch=1139, step=1140, lr=0.195500, batch loss=0.315203, epoch loss=45.008799 Batch=1199, step=1200, lr=0.195250, batch loss=0.263137, epoch loss=45.271935 Epoch=0, step=1200, lr=0.195250, epoch loss=45.271935 Batch=59, step=1260, lr=0.195000, batch loss=0.262297, epoch loss=0.262297 Batch=119, step=1320, lr=0.194750, batch loss=0.205464, epoch loss=0.467761 Batch=179, step=1380, lr=0.194500, batch loss=0.243049, epoch loss=0.710810 Batch=239, step=1440, lr=0.194250, batch loss=0.345551, epoch loss=1.056361 Batch=299, step=1500, lr=0.194000, batch loss=0.240353, epoch loss=1.296714 Batch=359, step=1560, lr=0.193750, batch loss=0.312292, epoch loss=1.609006 Batch=419, step=1620, lr=0.193500, batch loss=0.309341, epoch loss=1.918346 Batch=479, step=1680, lr=0.193250, batch loss=0.275996, epoch loss=2.194342 Batch=539, step=1740, lr=0.193000, batch loss=0.212019, epoch loss=2.406361 Batch=599, step=1800, lr=0.192750, batch loss=0.250742, epoch loss=2.657103 Batch=659, step=1860, lr=0.192500, batch loss=0.369381, epoch loss=3.026484 Batch=719, step=1920, lr=0.192250, batch loss=0.362355, epoch loss=3.388839 Batch=779, step=1980, lr=0.192000, batch loss=0.380803, epoch loss=3.769642 Batch=839, step=2040, lr=0.191750, batch loss=0.343435, epoch loss=4.113076 Batch=899, step=2100, lr=0.191500, batch loss=0.319415, epoch loss=4.432492 Batch=959, step=2160, lr=0.191250, batch loss=0.262853, epoch loss=4.695344 Batch=1019, step=2220, lr=0.190750, batch loss=0.423588, epoch loss=5.118932 Batch=1079, step=2280, lr=0.190750, batch loss=0.238362, epoch loss=5.357294 Batch=1139, step=2340, lr=0.190500, batch loss=0.276706, epoch loss=5.634000 Batch=1199, step=2400, lr=0.190250, batch loss=0.212502, epoch loss=5.846503 Epoch=1, step=2400, lr=0.190250, epoch loss=5.846503 Batch=59, step=2460, lr=0.190000, batch loss=0.234372, epoch loss=0.234372 Batch=119, step=2520, lr=0.189750, batch loss=0.193484, epoch loss=0.427856 Batch=179, step=2580, lr=0.189500, batch loss=0.222956, epoch loss=0.650812 Batch=239, step=2640, lr=0.189250, batch loss=0.329356, epoch loss=0.980168 Batch=299, step=2700, lr=0.189000, batch loss=0.203657, epoch loss=1.183825 Batch=359, step=2760, lr=0.188750, batch loss=0.289621, epoch loss=1.473446 Batch=419, step=2820, lr=0.188500, batch loss=0.280883, epoch loss=1.754329 Batch=479, step=2880, lr=0.188250, batch loss=0.253887, epoch loss=2.008216 Batch=539, step=2940, lr=0.188000, batch loss=0.194346, epoch loss=2.202562 Batch=599, step=3000, lr=0.187750, batch loss=0.231740, epoch loss=2.434302 Batch=659, step=3060, lr=0.187500, batch loss=0.342879, epoch loss=2.777182 Batch=719, step=3120, lr=0.187250, batch loss=0.340796, epoch loss=3.117978 Batch=779, step=3180, lr=0.186750, batch loss=0.363771, epoch loss=3.481749 Batch=839, step=3240, lr=0.186750, batch loss=0.322659, epoch loss=3.804407 Batch=899, step=3300, lr=0.186250, batch loss=0.289724, epoch loss=4.094131 Batch=959, step=3360, lr=0.186000, batch loss=0.208517, epoch loss=4.302648 Batch=1019, step=3420, lr=0.185750, batch loss=0.308708, epoch loss=4.611357 Batch=1079, step=3480, lr=0.185500, batch loss=0.183813, epoch loss=4.795170 Batch=1139, step=3540, lr=0.185500, batch loss=0.231638, epoch loss=5.026808 Batch=1199, step=3600, lr=0.185000, batch loss=0.198780, epoch loss=5.225588 Epoch=2, step=3600, lr=0.185000, epoch loss=5.225588 Batch=59, step=3660, lr=0.184750, batch loss=0.227417, epoch loss=0.227417 Batch=119, step=3720, lr=0.184750, batch loss=0.191780, epoch loss=0.419196 Batch=179, step=3780, lr=0.184250, batch loss=0.210504, epoch loss=0.629701 Batch=239, step=3840, lr=0.184250, batch loss=0.316635, epoch loss=0.946336 Batch=299, step=3900, lr=0.184000, batch loss=0.209211, epoch loss=1.155547 Batch=359, step=3960, lr=0.183750, batch loss=0.284631, epoch loss=1.440177 Batch=419, step=4020, lr=0.183500, batch loss=0.279956, epoch loss=1.720133 Batch=479, step=4080, lr=0.183250, batch loss=0.254425, epoch loss=1.974558 Batch=539, step=4140, lr=0.183000, batch loss=0.203423, epoch loss=2.177981 Batch=599, step=4200, lr=0.182750, batch loss=0.248903, epoch loss=2.426884 Batch=659, step=4260, lr=0.182500, batch loss=0.330182, epoch loss=2.757066 Batch=719, step=4320, lr=0.182250, batch loss=0.340732, epoch loss=3.097798 Batch=779, step=4380, lr=0.182000, batch loss=0.350761, epoch loss=3.448559 Batch=839, step=4440, lr=0.181750, batch loss=0.317736, epoch loss=3.766295 Batch=899, step=4500, lr=0.181500, batch loss=0.284020, epoch loss=4.050315 Batch=959, step=4560, lr=0.181250, batch loss=0.227265, epoch loss=4.277580 Batch=1019, step=4620, lr=0.181000, batch loss=0.332224, epoch loss=4.609804 Batch=1079, step=4680, lr=0.180750, batch loss=0.195956, epoch loss=4.805761 Batch=1139, step=4740, lr=0.180500, batch loss=0.228289, epoch loss=5.034049 Batch=1199, step=4800, lr=0.180250, batch loss=0.191350, epoch loss=5.225399 Epoch=3, step=4800, lr=0.180250, epoch loss=5.225399 Batch=59, step=4860, lr=0.180000, batch loss=0.222035, epoch loss=0.222035 Batch=119, step=4920, lr=0.179750, batch loss=0.188797, epoch loss=0.410832 Batch=179, step=4980, lr=0.179500, batch loss=0.205426, epoch loss=0.616257 Batch=239, step=5040, lr=0.179250, batch loss=0.307696, epoch loss=0.923953 Batch=299, step=5100, lr=0.179000, batch loss=0.208243, epoch loss=1.132197 Batch=359, step=5160, lr=0.178750, batch loss=0.277032, epoch loss=1.409229 Batch=419, step=5220, lr=0.178500, batch loss=0.274820, epoch loss=1.684048 Batch=479, step=5280, lr=0.178250, batch loss=0.246734, epoch loss=1.930783 Batch=539, step=5340, lr=0.178000, batch loss=0.193086, epoch loss=2.123869 Batch=599, step=5400, lr=0.177750, batch loss=0.238562, epoch loss=2.362430 Batch=659, step=5460, lr=0.177500, batch loss=0.319990, epoch loss=2.682420 Batch=719, step=5520, lr=0.177250, batch loss=0.324420, epoch loss=3.006841 Batch=779, step=5580, lr=0.177000, batch loss=0.338912, epoch loss=3.345753 Batch=839, step=5640, lr=0.176750, batch loss=0.312886, epoch loss=3.658639 Batch=899, step=5700, lr=0.176500, batch loss=0.274750, epoch loss=3.933389 Batch=959, step=5760, lr=0.176250, batch loss=0.211900, epoch loss=4.145289 Batch=1019, step=5820, lr=0.176000, batch loss=0.339481, epoch loss=4.484770 Batch=1079, step=5880, lr=0.175750, batch loss=0.210636, epoch loss=4.695405 Batch=1139, step=5940, lr=0.175500, batch loss=0.238284, epoch loss=4.933690 Batch=1199, step=6000, lr=0.175250, batch loss=0.187301, epoch loss=5.120991 Epoch=4, step=6000, lr=0.175250, epoch loss=5.120991 Batch=59, step=6060, lr=0.175000, batch loss=0.232837, epoch loss=0.232837 Batch=119, step=6120, lr=0.174750, batch loss=0.192342, epoch loss=0.425179 Batch=179, step=6180, lr=0.174500, batch loss=0.200818, epoch loss=0.625997 Batch=239, step=6240, lr=0.174250, batch loss=0.301502, epoch loss=0.927499 Batch=299, step=6300, lr=0.174000, batch loss=0.211313, epoch loss=1.138813 Batch=359, step=6360, lr=0.173750, batch loss=0.273429, epoch loss=1.412241 Batch=419, step=6420, lr=0.173500, batch loss=0.268654, epoch loss=1.680896 Batch=479, step=6480, lr=0.173250, batch loss=0.240563, epoch loss=1.921458 Batch=539, step=6540, lr=0.173000, batch loss=0.190348, epoch loss=2.111806 Batch=599, step=6600, lr=0.172750, batch loss=0.223695, epoch loss=2.335501 Batch=659, step=6660, lr=0.172500, batch loss=0.314473, epoch loss=2.649974 Batch=719, step=6720, lr=0.172250, batch loss=0.317009, epoch loss=2.966983 Batch=779, step=6780, lr=0.172000, batch loss=0.331521, epoch loss=3.298503 Batch=839, step=6840, lr=0.171750, batch loss=0.304828, epoch loss=3.603332 Batch=899, step=6900, lr=0.171500, batch loss=0.266395, epoch loss=3.869727 Batch=959, step=6960, lr=0.171250, batch loss=0.210443, epoch loss=4.080170 Batch=1019, step=7020, lr=0.171000, batch loss=0.325349, epoch loss=4.405520 Batch=1079, step=7080, lr=0.170750, batch loss=0.175950, epoch loss=4.581470 Batch=1139, step=7140, lr=0.170500, batch loss=0.213154, epoch loss=4.794623 Batch=1199, step=7200, lr=0.170250, batch loss=0.186799, epoch loss=4.981422 Epoch=5, step=7200, lr=0.170250, epoch loss=4.981422 Batch=59, step=7260, lr=0.170000, batch loss=0.232627, epoch loss=0.232627 Batch=119, step=7320, lr=0.169750, batch loss=0.183916, epoch loss=0.416544 Batch=179, step=7380, lr=0.169500, batch loss=0.195142, epoch loss=0.611686 Batch=239, step=7440, lr=0.169250, batch loss=0.294167, epoch loss=0.905853 Batch=299, step=7500, lr=0.169000, batch loss=0.202851, epoch loss=1.108704 Batch=359, step=7560, lr=0.168750, batch loss=0.257170, epoch loss=1.365873 Batch=419, step=7620, lr=0.168500, batch loss=0.257340, epoch loss=1.623214 Batch=479, step=7680, lr=0.168250, batch loss=0.235546, epoch loss=1.858760 Batch=539, step=7740, lr=0.168000, batch loss=0.189037, epoch loss=2.047797 Batch=599, step=7800, lr=0.167750, batch loss=0.223637, epoch loss=2.271434 Batch=659, step=7860, lr=0.167500, batch loss=0.307056, epoch loss=2.578490 Batch=719, step=7920, lr=0.167250, batch loss=0.306606, epoch loss=2.885096 Batch=779, step=7980, lr=0.167000, batch loss=0.322804, epoch loss=3.207900 Batch=839, step=8040, lr=0.166750, batch loss=0.295820, epoch loss=3.503720 Batch=899, step=8100, lr=0.166500, batch loss=0.260075, epoch loss=3.763796 Batch=959, step=8160, lr=0.166250, batch loss=0.206314, epoch loss=3.970109 Batch=1019, step=8220, lr=0.166000, batch loss=0.324145, epoch loss=4.294254 Batch=1079, step=8280, lr=0.165750, batch loss=0.200475, epoch loss=4.494729 Batch=1139, step=8340, lr=0.165500, batch loss=0.224204, epoch loss=4.718933 Batch=1199, step=8400, lr=0.165250, batch loss=0.175011, epoch loss=4.893943 Epoch=6, step=8400, lr=0.165250, epoch loss=4.893943 Batch=59, step=8460, lr=0.165000, batch loss=0.215748, epoch loss=0.215748 Batch=119, step=8520, lr=0.164750, batch loss=0.182339, epoch loss=0.398086 Batch=179, step=8580, lr=0.164500, batch loss=0.189135, epoch loss=0.587222 Batch=239, step=8640, lr=0.164250, batch loss=0.277819, epoch loss=0.865041 Batch=299, step=8700, lr=0.164000, batch loss=0.194069, epoch loss=1.059109 Batch=359, step=8760, lr=0.163750, batch loss=0.248311, epoch loss=1.307420 Batch=419, step=8820, lr=0.163500, batch loss=0.245652, epoch loss=1.553072 Batch=479, step=8880, lr=0.163250, batch loss=0.228541, epoch loss=1.781614 Batch=539, step=8940, lr=0.163000, batch loss=0.178722, epoch loss=1.960336 Batch=599, step=9000, lr=0.162750, batch loss=0.217318, epoch loss=2.177654 Batch=659, step=9060, lr=0.162500, batch loss=0.295219, epoch loss=2.472872 Batch=719, step=9120, lr=0.162250, batch loss=0.297277, epoch loss=2.770149 Batch=779, step=9180, lr=0.162000, batch loss=0.315728, epoch loss=3.085877 Batch=839, step=9240, lr=0.161750, batch loss=0.281780, epoch loss=3.367657 Batch=899, step=9300, lr=0.161500, batch loss=0.254320, epoch loss=3.621977 Batch=959, step=9360, lr=0.161250, batch loss=0.207933, epoch loss=3.829910 Batch=1019, step=9420, lr=0.161000, batch loss=0.297990, epoch loss=4.127900 Batch=1079, step=9480, lr=0.160750, batch loss=0.177003, epoch loss=4.304903 Batch=1139, step=9540, lr=0.160500, batch loss=0.206137, epoch loss=4.511040 Batch=1199, step=9600, lr=0.160250, batch loss=0.165769, epoch loss=4.676808 Epoch=7, step=9600, lr=0.160250, epoch loss=4.676808 Batch=59, step=9660, lr=0.160000, batch loss=0.197845, epoch loss=0.197845 Batch=119, step=9720, lr=0.159750, batch loss=0.165439, epoch loss=0.363284 Batch=179, step=9780, lr=0.159500, batch loss=0.179800, epoch loss=0.543085 Batch=239, step=9840, lr=0.159250, batch loss=0.261611, epoch loss=0.804695 Batch=299, step=9900, lr=0.159000, batch loss=0.189703, epoch loss=0.994398 Batch=359, step=9960, lr=0.158750, batch loss=0.240221, epoch loss=1.234618 Batch=419, step=10020, lr=0.158500, batch loss=0.232939, epoch loss=1.467557 Batch=479, step=10080, lr=0.158250, batch loss=0.214255, epoch loss=1.681812 Batch=539, step=10140, lr=0.158000, batch loss=0.170975, epoch loss=1.852787 Batch=599, step=10200, lr=0.157750, batch loss=0.202024, epoch loss=2.054811 Batch=659, step=10260, lr=0.157500, batch loss=0.282803, epoch loss=2.337614 Batch=719, step=10320, lr=0.157250, batch loss=0.279765, epoch loss=2.617379 Batch=779, step=10380, lr=0.157000, batch loss=0.301697, epoch loss=2.919076 Batch=839, step=10440, lr=0.156750, batch loss=0.270831, epoch loss=3.189907 Batch=899, step=10500, lr=0.156500, batch loss=0.241798, epoch loss=3.431705 Batch=959, step=10560, lr=0.156250, batch loss=0.196794, epoch loss=3.628500 Batch=1019, step=10620, lr=0.156000, batch loss=0.279191, epoch loss=3.907690 Batch=1079, step=10680, lr=0.155750, batch loss=0.149426, epoch loss=4.057116 Batch=1139, step=10740, lr=0.155500, batch loss=0.181191, epoch loss=4.238307 Batch=1199, step=10800, lr=0.155250, batch loss=0.165430, epoch loss=4.403737 Epoch=8, step=10800, lr=0.155250, epoch loss=4.403737 Batch=59, step=10860, lr=0.155000, batch loss=0.191762, epoch loss=0.191762 Batch=119, step=10920, lr=0.154750, batch loss=0.164192, epoch loss=0.355954 Batch=179, step=10980, lr=0.154500, batch loss=0.166791, epoch loss=0.522745 Batch=239, step=11040, lr=0.154250, batch loss=0.244072, epoch loss=0.766817 Batch=299, step=11100, lr=0.154000, batch loss=0.167942, epoch loss=0.934759 Batch=359, step=11160, lr=0.153750, batch loss=0.222133, epoch loss=1.156892 Batch=419, step=11220, lr=0.153500, batch loss=0.218765, epoch loss=1.375657 Batch=479, step=11280, lr=0.153250, batch loss=0.210142, epoch loss=1.585799 Batch=539, step=11340, lr=0.153000, batch loss=0.165230, epoch loss=1.751029 Batch=599, step=11400, lr=0.152750, batch loss=0.178225, epoch loss=1.929254 Batch=659, step=11460, lr=0.152500, batch loss=0.266307, epoch loss=2.195562 Batch=719, step=11520, lr=0.152250, batch loss=0.260672, epoch loss=2.456233 Batch=779, step=11580, lr=0.152000, batch loss=0.273851, epoch loss=2.730084 Batch=839, step=11640, lr=0.151750, batch loss=0.257876, epoch loss=2.987961 Batch=899, step=11700, lr=0.151500, batch loss=0.213667, epoch loss=3.201628 Batch=959, step=11760, lr=0.151250, batch loss=0.168276, epoch loss=3.369904 Batch=1019, step=11820, lr=0.151000, batch loss=0.271355, epoch loss=3.641259 Batch=1079, step=11880, lr=0.150750, batch loss=0.150057, epoch loss=3.791316 Batch=1139, step=11940, lr=0.150500, batch loss=0.185410, epoch loss=3.976726 Batch=1199, step=12000, lr=0.150250, batch loss=0.140087, epoch loss=4.116812 Epoch=9, step=12000, lr=0.150250, epoch loss=4.116812 Batch=59, step=12060, lr=0.150000, batch loss=0.158769, epoch loss=0.158769 Batch=119, step=12120, lr=0.149750, batch loss=0.129486, epoch loss=0.288255 Batch=179, step=12180, lr=0.149500, batch loss=0.154411, epoch loss=0.442667 Batch=239, step=12240, lr=0.149250, batch loss=0.219953, epoch loss=0.662620 Batch=299, step=12300, lr=0.149000, batch loss=0.141705, epoch loss=0.804325 Batch=359, step=12360, lr=0.148750, batch loss=0.199424, epoch loss=1.003749 Batch=419, step=12420, lr=0.148500, batch loss=0.204947, epoch loss=1.208696 Batch=479, step=12480, lr=0.148250, batch loss=0.181792, epoch loss=1.390488 Batch=539, step=12540, lr=0.148000, batch loss=0.142053, epoch loss=1.532541 Batch=599, step=12600, lr=0.147750, batch loss=0.152786, epoch loss=1.685326 Batch=659, step=12660, lr=0.147500, batch loss=0.231583, epoch loss=1.916909 Batch=719, step=12720, lr=0.147250, batch loss=0.227690, epoch loss=2.144600 Batch=779, step=12780, lr=0.147000, batch loss=0.243547, epoch loss=2.388146 Batch=839, step=12840, lr=0.146500, batch loss=0.225661, epoch loss=2.613807 Batch=899, step=12900, lr=0.146500, batch loss=0.186448, epoch loss=2.800255 Batch=959, step=12960, lr=0.146250, batch loss=0.143189, epoch loss=2.943445 Batch=1019, step=13020, lr=0.145750, batch loss=0.244066, epoch loss=3.187511 Batch=1079, step=13080, lr=0.145750, batch loss=0.120065, epoch loss=3.307576 Batch=1139, step=13140, lr=0.145500, batch loss=0.160005, epoch loss=3.467580 Batch=1199, step=13200, lr=0.145250, batch loss=0.118616, epoch loss=3.586197 Epoch=10, step=13200, lr=0.145250, epoch loss=3.586197 Batch=59, step=13260, lr=0.145000, batch loss=0.145614, epoch loss=0.145614 Batch=119, step=13320, lr=0.144750, batch loss=0.126080, epoch loss=0.271694 Batch=179, step=13380, lr=0.144500, batch loss=0.129971, epoch loss=0.401665 Batch=239, step=13440, lr=0.144250, batch loss=0.192592, epoch loss=0.594257 Batch=299, step=13500, lr=0.144000, batch loss=0.119616, epoch loss=0.713873 Batch=359, step=13560, lr=0.143750, batch loss=0.163918, epoch loss=0.877791 Batch=419, step=13620, lr=0.143500, batch loss=0.161312, epoch loss=1.039103 Batch=479, step=13680, lr=0.143250, batch loss=0.146665, epoch loss=1.185767 Batch=539, step=13740, lr=0.143000, batch loss=0.118962, epoch loss=1.304729 Batch=599, step=13800, lr=0.142750, batch loss=0.121202, epoch loss=1.425931 Batch=659, step=13860, lr=0.142500, batch loss=0.177803, epoch loss=1.603735 Batch=719, step=13920, lr=0.142250, batch loss=0.174465, epoch loss=1.778199 Batch=779, step=13980, lr=0.142000, batch loss=0.189573, epoch loss=1.967773 Batch=839, step=14040, lr=0.141750, batch loss=0.192132, epoch loss=2.159905 Batch=899, step=14100, lr=0.141500, batch loss=0.198384, epoch loss=2.358289 Batch=959, step=14160, lr=0.141250, batch loss=0.120960, epoch loss=2.479249 Batch=1019, step=14220, lr=0.141000, batch loss=0.204235, epoch loss=2.683484 Batch=1079, step=14280, lr=0.140750, batch loss=0.079818, epoch loss=2.763302 Batch=1139, step=14340, lr=0.140500, batch loss=0.129511, epoch loss=2.892814 Batch=1199, step=14400, lr=0.140250, batch loss=0.088331, epoch loss=2.981145 Epoch=11, step=14400, lr=0.140250, epoch loss=2.981145 Batch=59, step=14460, lr=0.140000, batch loss=0.102720, epoch loss=0.102720 Batch=119, step=14520, lr=0.139750, batch loss=0.101676, epoch loss=0.204396 Batch=179, step=14580, lr=0.139500, batch loss=0.099815, epoch loss=0.304211 Batch=239, step=14640, lr=0.139000, batch loss=0.144106, epoch loss=0.448316 Batch=299, step=14700, lr=0.138750, batch loss=0.075221, epoch loss=0.523537 Batch=359, step=14760, lr=0.138750, batch loss=0.123036, epoch loss=0.646573 Batch=419, step=14820, lr=0.138500, batch loss=0.132005, epoch loss=0.778578 Batch=479, step=14880, lr=0.138250, batch loss=0.102085, epoch loss=0.880663 Batch=539, step=14940, lr=0.138000, batch loss=0.111592, epoch loss=0.992256 Batch=599, step=15000, lr=0.137750, batch loss=0.084848, epoch loss=1.077103 Batch=659, step=15060, lr=0.137500, batch loss=0.130919, epoch loss=1.208022 Batch=719, step=15120, lr=0.137250, batch loss=0.135007, epoch loss=1.343029 Batch=779, step=15180, lr=0.137000, batch loss=0.182005, epoch loss=1.525034 Batch=839, step=15240, lr=0.136750, batch loss=0.168897, epoch loss=1.693932 Batch=899, step=15300, lr=0.136500, batch loss=0.288735, epoch loss=1.982667 Batch=959, step=15360, lr=0.136250, batch loss=0.057479, epoch loss=2.040146 Batch=1019, step=15420, lr=0.136000, batch loss=0.144574, epoch loss=2.184719 Batch=1079, step=15480, lr=0.135750, batch loss=0.037429, epoch loss=2.222149 Batch=1139, step=15540, lr=0.135500, batch loss=0.082011, epoch loss=2.304160 Batch=1199, step=15600, lr=0.135250, batch loss=0.053117, epoch loss=2.357276 Epoch=12, step=15600, lr=0.135250, epoch loss=2.357276 Batch=59, step=15660, lr=0.135000, batch loss=0.090174, epoch loss=0.090174 Batch=119, step=15720, lr=0.134750, batch loss=0.135230, epoch loss=0.225403 Batch=179, step=15780, lr=0.134500, batch loss=0.098408, epoch loss=0.323812 Batch=239, step=15840, lr=0.134250, batch loss=0.098429, epoch loss=0.422241 Batch=299, step=15900, lr=0.134000, batch loss=0.048549, epoch loss=0.470790 Batch=359, step=15960, lr=0.133750, batch loss=0.085834, epoch loss=0.556624 Batch=419, step=16020, lr=0.133500, batch loss=0.078106, epoch loss=0.634730 Batch=479, step=16080, lr=0.133250, batch loss=0.056109, epoch loss=0.690839 Batch=539, step=16140, lr=0.133000, batch loss=0.078320, epoch loss=0.769159 Batch=599, step=16200, lr=0.132750, batch loss=0.165433, epoch loss=0.934592 Batch=659, step=16260, lr=0.132500, batch loss=0.095527, epoch loss=1.030120 Batch=719, step=16320, lr=0.132250, batch loss=0.133020, epoch loss=1.163140 Batch=779, step=16380, lr=0.132000, batch loss=0.281113, epoch loss=1.444253 Batch=839, step=16440, lr=0.131750, batch loss=0.092726, epoch loss=1.536979 Batch=899, step=16500, lr=0.131500, batch loss=0.086377, epoch loss=1.623356 Batch=959, step=16560, lr=0.131250, batch loss=0.034491, epoch loss=1.657847 Batch=1019, step=16620, lr=0.131000, batch loss=0.058399, epoch loss=1.716246 Batch=1079, step=16680, lr=0.130750, batch loss=0.063999, epoch loss=1.780245 Batch=1139, step=16740, lr=0.130500, batch loss=0.112406, epoch loss=1.892652 Batch=1199, step=16800, lr=0.130250, batch loss=0.050477, epoch loss=1.943128 Epoch=13, step=16800, lr=0.130250, epoch loss=1.943128 Batch=59, step=16860, lr=0.130000, batch loss=0.034923, epoch loss=0.034923 Batch=119, step=16920, lr=0.129750, batch loss=0.035062, epoch loss=0.069985 Batch=179, step=16980, lr=0.129500, batch loss=0.044423, epoch loss=0.114408 Batch=239, step=17040, lr=0.129250, batch loss=0.061841, epoch loss=0.176249 Batch=299, step=17100, lr=0.129000, batch loss=0.022320, epoch loss=0.198569 Batch=359, step=17160, lr=0.128750, batch loss=0.045904, epoch loss=0.244473 Batch=419, step=17220, lr=0.128500, batch loss=0.063283, epoch loss=0.307756 Batch=479, step=17280, lr=0.128250, batch loss=0.023296, epoch loss=0.331052 Batch=539, step=17340, lr=0.128000, batch loss=0.027783, epoch loss=0.358835 Batch=599, step=17400, lr=0.127750, batch loss=0.034794, epoch loss=0.393629 Batch=659, step=17460, lr=0.127500, batch loss=0.044634, epoch loss=0.438263 Batch=719, step=17520, lr=0.127250, batch loss=0.041849, epoch loss=0.480112 Batch=779, step=17580, lr=0.127000, batch loss=0.039700, epoch loss=0.519811 Batch=839, step=17640, lr=0.126500, batch loss=0.058505, epoch loss=0.578316 Batch=899, step=17700, lr=0.126500, batch loss=0.066084, epoch loss=0.644401 Batch=959, step=17760, lr=0.126250, batch loss=0.040321, epoch loss=0.684721 Batch=1019, step=17820, lr=0.126000, batch loss=0.117794, epoch loss=0.802515 Batch=1079, step=17880, lr=0.125750, batch loss=0.021865, epoch loss=0.824380 Batch=1139, step=17940, lr=0.125500, batch loss=0.052006, epoch loss=0.876386 Batch=1199, step=18000, lr=0.125250, batch loss=0.020554, epoch loss=0.896940 Epoch=14, step=18000, lr=0.125250, epoch loss=0.896940 Batch=59, step=18060, lr=0.125000, batch loss=0.013929, epoch loss=0.013929 Batch=119, step=18120, lr=0.124750, batch loss=0.019883, epoch loss=0.033812 Batch=179, step=18180, lr=0.124500, batch loss=0.029689, epoch loss=0.063501 Batch=239, step=18240, lr=0.124250, batch loss=0.032929, epoch loss=0.096431 Batch=299, step=18300, lr=0.124000, batch loss=0.011286, epoch loss=0.107717 Batch=359, step=18360, lr=0.123750, batch loss=0.026405, epoch loss=0.134122 Batch=419, step=18420, lr=0.123500, batch loss=0.030269, epoch loss=0.164391 Batch=479, step=18480, lr=0.123250, batch loss=0.015217, epoch loss=0.179607 Batch=539, step=18540, lr=0.123000, batch loss=0.021894, epoch loss=0.201501 Batch=599, step=18600, lr=0.122750, batch loss=0.027842, epoch loss=0.229343 Batch=659, step=18660, lr=0.122500, batch loss=0.028086, epoch loss=0.257429 Batch=719, step=18720, lr=0.122250, batch loss=0.041175, epoch loss=0.298604 Batch=779, step=18780, lr=0.122000, batch loss=0.060249, epoch loss=0.358853 Batch=839, step=18840, lr=0.121750, batch loss=0.113375, epoch loss=0.472229 Batch=899, step=18900, lr=0.121500, batch loss=0.035617, epoch loss=0.507845 Batch=959, step=18960, lr=0.121250, batch loss=0.014327, epoch loss=0.522173 Batch=1019, step=19020, lr=0.121000, batch loss=0.023713, epoch loss=0.545885 Batch=1079, step=19080, lr=0.120750, batch loss=0.013198, epoch loss=0.559084 Batch=1139, step=19140, lr=0.120500, batch loss=0.027310, epoch loss=0.586394 Batch=1199, step=19200, lr=0.120250, batch loss=0.011554, epoch loss=0.597947 Epoch=15, step=19200, lr=0.120250, epoch loss=0.597947 Batch=59, step=19260, lr=0.120000, batch loss=0.008415, epoch loss=0.008415 Batch=119, step=19320, lr=0.119750, batch loss=0.035241, epoch loss=0.043656 Batch=179, step=19380, lr=0.119250, batch loss=0.094362, epoch loss=0.138018 Batch=239, step=19440, lr=0.119250, batch loss=0.040843, epoch loss=0.178861 Batch=299, step=19500, lr=0.119000, batch loss=0.004910, epoch loss=0.183771 Batch=359, step=19560, lr=0.118750, batch loss=0.017453, epoch loss=0.201224 Batch=419, step=19620, lr=0.118500, batch loss=0.021240, epoch loss=0.222464 Batch=479, step=19680, lr=0.118250, batch loss=0.006657, epoch loss=0.229122 Batch=539, step=19740, lr=0.118000, batch loss=0.016733, epoch loss=0.245855 Batch=599, step=19800, lr=0.117750, batch loss=0.024414, epoch loss=0.270269 Batch=659, step=19860, lr=0.117500, batch loss=0.021265, epoch loss=0.291534 Batch=719, step=19920, lr=0.117250, batch loss=0.048400, epoch loss=0.339934 Batch=779, step=19980, lr=0.117000, batch loss=0.081369, epoch loss=0.421303 Batch=839, step=20040, lr=0.116750, batch loss=0.033498, epoch loss=0.454801 Batch=899, step=20100, lr=0.116500, batch loss=0.030502, epoch loss=0.485304 Batch=959, step=20160, lr=0.116250, batch loss=0.016500, epoch loss=0.501803 Batch=1019, step=20220, lr=0.116000, batch loss=0.018495, epoch loss=0.520299 Batch=1079, step=20280, lr=0.115750, batch loss=0.002244, epoch loss=0.522543 Batch=1139, step=20340, lr=0.115500, batch loss=0.015385, epoch loss=0.537928 Batch=1199, step=20400, lr=0.115250, batch loss=0.008024, epoch loss=0.545952 Epoch=16, step=20400, lr=0.115250, epoch loss=0.545952 Batch=59, step=20460, lr=0.115000, batch loss=0.004010, epoch loss=0.004010 Batch=119, step=20520, lr=0.114750, batch loss=0.009099, epoch loss=0.013109 Batch=179, step=20580, lr=0.114500, batch loss=0.015938, epoch loss=0.029047 Batch=239, step=20640, lr=0.114250, batch loss=0.022586, epoch loss=0.051632 Batch=299, step=20700, lr=0.114000, batch loss=0.010082, epoch loss=0.061715 Batch=359, step=20760, lr=0.113750, batch loss=0.013343, epoch loss=0.075057 Batch=419, step=20820, lr=0.113500, batch loss=0.014964, epoch loss=0.090022 Batch=479, step=20880, lr=0.113250, batch loss=0.005182, epoch loss=0.095204 Batch=539, step=20940, lr=0.113000, batch loss=0.015302, epoch loss=0.110506 Batch=599, step=21000, lr=0.112750, batch loss=0.018924, epoch loss=0.129430 Batch=659, step=21060, lr=0.112250, batch loss=0.015085, epoch loss=0.144515 Batch=719, step=21120, lr=0.112250, batch loss=0.043233, epoch loss=0.187748 Batch=779, step=21180, lr=0.112000, batch loss=0.071982, epoch loss=0.259729 Batch=839, step=21240, lr=0.111750, batch loss=0.026691, epoch loss=0.286420 Batch=899, step=21300, lr=0.111500, batch loss=0.029039, epoch loss=0.315460 Batch=959, step=21360, lr=0.111250, batch loss=0.010010, epoch loss=0.325469 Batch=1019, step=21420, lr=0.111000, batch loss=0.010669, epoch loss=0.336138 Batch=1079, step=21480, lr=0.110750, batch loss=0.001789, epoch loss=0.337927 Batch=1139, step=21540, lr=0.110500, batch loss=0.012747, epoch loss=0.350674 Batch=1199, step=21600, lr=0.110000, batch loss=0.005211, epoch loss=0.355885 Epoch=17, step=21600, lr=0.110000, epoch loss=0.355885 Batch=59, step=21660, lr=0.109750, batch loss=0.002281, epoch loss=0.002281 Batch=119, step=21720, lr=0.109500, batch loss=0.006586, epoch loss=0.008867 Batch=179, step=21780, lr=0.109250, batch loss=0.012466, epoch loss=0.021332 Batch=239, step=21840, lr=0.109000, batch loss=0.009707, epoch loss=0.031039 Batch=299, step=21900, lr=0.108750, batch loss=0.003305, epoch loss=0.034344 Batch=359, step=21960, lr=0.108750, batch loss=0.014826, epoch loss=0.049170 Batch=419, step=22020, lr=0.108500, batch loss=0.012802, epoch loss=0.061972 Batch=479, step=22080, lr=0.108250, batch loss=0.003111, epoch loss=0.065083 Batch=539, step=22140, lr=0.108000, batch loss=0.017121, epoch loss=0.082204 Batch=599, step=22200, lr=0.107750, batch loss=0.017677, epoch loss=0.099881 Batch=659, step=22260, lr=0.107500, batch loss=0.015017, epoch loss=0.114899 Batch=719, step=22320, lr=0.107250, batch loss=0.025621, epoch loss=0.140520 Batch=779, step=22380, lr=0.107000, batch loss=0.044451, epoch loss=0.184971 Batch=839, step=22440, lr=0.106750, batch loss=0.022077, epoch loss=0.207047 Batch=899, step=22500, lr=0.106500, batch loss=0.022882, epoch loss=0.229930 Batch=959, step=22560, lr=0.106250, batch loss=0.010859, epoch loss=0.240788 Batch=1019, step=22620, lr=0.106000, batch loss=0.009475, epoch loss=0.250263 Batch=1079, step=22680, lr=0.105750, batch loss=0.000024, epoch loss=0.250287 Batch=1139, step=22740, lr=0.105500, batch loss=0.010412, epoch loss=0.260699 Batch=1199, step=22800, lr=0.105250, batch loss=0.004483, epoch loss=0.265181 Epoch=18, step=22800, lr=0.105250, epoch loss=0.265181 Batch=59, step=22860, lr=0.105000, batch loss=0.001421, epoch loss=0.001421 Batch=119, step=22920, lr=0.104750, batch loss=0.005809, epoch loss=0.007230 Batch=179, step=22980, lr=0.104500, batch loss=0.010850, epoch loss=0.018080 Batch=239, step=23040, lr=0.104250, batch loss=0.011687, epoch loss=0.029767 Batch=299, step=23100, lr=0.104000, batch loss=0.007870, epoch loss=0.037637 Batch=359, step=23160, lr=0.103750, batch loss=0.011084, epoch loss=0.048721 Batch=419, step=23220, lr=0.103500, batch loss=0.010967, epoch loss=0.059688 Batch=479, step=23280, lr=0.103250, batch loss=0.002429, epoch loss=0.062117 Batch=539, step=23340, lr=0.103000, batch loss=0.017093, epoch loss=0.079211 Batch=599, step=23400, lr=0.102750, batch loss=0.014158, epoch loss=0.093369 Batch=659, step=23460, lr=0.102500, batch loss=0.010491, epoch loss=0.103860 Batch=719, step=23520, lr=0.102250, batch loss=0.014117, epoch loss=0.117977 Batch=779, step=23580, lr=0.102000, batch loss=0.021781, epoch loss=0.139758 Batch=839, step=23640, lr=0.101750, batch loss=0.028159, epoch loss=0.167917 Batch=899, step=23700, lr=0.101500, batch loss=0.022283, epoch loss=0.190200 Batch=959, step=23760, lr=0.101250, batch loss=0.010054, epoch loss=0.200254 Batch=1019, step=23820, lr=0.101000, batch loss=0.008370, epoch loss=0.208624 Batch=1079, step=23880, lr=0.100750, batch loss=0.000594, epoch loss=0.209218 Batch=1139, step=23940, lr=0.100500, batch loss=0.009726, epoch loss=0.218945 Batch=1199, step=24000, lr=0.100250, batch loss=0.004768, epoch loss=0.223713 Epoch=19, step=24000, lr=0.100250, epoch loss=0.223713 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%..****************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%.....**************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 16:50.01 ---> saved as "4163ac893e9f0124c7ccae4cbba853abda7244a83d62514c508594fc97871bbe" Job succeeded 2025-03-20 16:50.02: Job succeeded