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-24.04-5.3_opam-2.3) Base: ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667 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-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667 # ubuntu-24.04-5.3_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-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667-ubuntu-24.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 14:55.23: Using OBuilder spec: ((from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) (comment ubuntu-24.04-5.3_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 16:33.41: 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-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) 2025-03-20 16:38.38 ---> saved as "06e5d68c33d07ab80561193cb9f567604be8657f4b8b2bd2350d9ec652b4b76c" /: (comment ubuntu-24.04-5.3_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 16:38.38 ---> saved as "4ba640804fd0c313d80c46d7ebb2f0c45a6a2eb022d24aeae0e9f67320311f6c" /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 255 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=255 --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 16:40.40 ---> saved as "817c358501a2607fadc6719ecbafb475a48c910f209ff3da9e21aaa855325614" /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 16:40.41 ---> saved as "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 16:40.42 ---> saved as "5db640b718b7589bfd0e01928944cc167286bc3fb99a3d4166082413d7a743af" /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 16:42.30 ---> saved as "b9f37d815f22fb30aebedebbf7f4a18bd92084680e1060eb9cd0e2127e7bb900" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 16:42.31 ---> saved as "49ccd087f7d7123ad22e95829309c9c68b651627445e8127bbb6b5bc5de8089a" /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 16:42.40 ---> saved as "d9f9a5483f7b706b2f6791e7be093a3d6a0cc5ef4dd57202b1037ea42ef297fb" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 16:42.40 ---> saved as "20a20da0a682b7158fc1d8d0d333b2e1252fe06160fc1dc7a53db647cedce36c" /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 noble-security InRelease [126 kB] - Hit:2 http://archive.ubuntu.com/ubuntu noble InRelease - Get:3 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB] - Get:4 http://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [845 kB] - Get:5 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [916 kB] - Get:6 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1059 kB] - Get:7 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB] - Get:8 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [962 kB] - Get:9 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1171 kB] - Get:10 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1350 kB] - Fetched 6681 kB in 2s (4014 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 ... 16365 files and directories currently installed.) - Preparing to unpack .../libpkgconf3_1.8.1-2build1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-2build1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-2build1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-2build1) ... - 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 (1.8.1-2build1) ... - Setting up pkgconf-bin (1.8.1-2build1) ... - Setting up pkgconf:amd64 (1.8.1-2build1) ... - Setting up pkg-config:amd64 (1.8.1-2build1) ... - Processing triggers for libc-bin (2.39-0ubuntu8.4) ... 2025-03-20 16:43.31 ---> saved as "169708568efe22a8acbe85b668d351f1cef187173c893ab59eb729fd76ba88d7" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> 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 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 tyxml.4.6.0 (cached) -> 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 uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed parsexp.v0.17.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed fieldslib.v0.17.0 -> installed variantslib.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_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_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 16:49.10 ---> saved as "127074d52528aa0969e5a0c1f5ada80af679f7500f706af87bcff57f6a304452" /src: (copy (src .) (dst /src)) 2025-03-20 16:49.12 ---> saved as "12a54168a27d016af4c069bf6d8b0e1170924edb18d2f48a91218bc92c3675f8" /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/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/4cfa50c13b0ed83ea27833512c93ca16/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0a6fdc9f7bfcd9f0543f7bb7d964948f/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/0a6fdc9f7bfcd9f0543f7bb7d964948f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196250, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245149, epoch loss=44.035556 Batch=1019, step=1020, lr=0.196000, batch loss=0.466512, epoch loss=44.502068 Batch=1079, step=1080, lr=0.195750, batch loss=0.248801, epoch loss=44.750869 Batch=1139, step=1140, lr=0.195500, batch loss=0.317443, epoch loss=45.068312 Batch=1199, step=1200, lr=0.195250, batch loss=0.263701, epoch loss=45.332012 Epoch=0, step=1200, lr=0.195250, epoch loss=45.332012 Batch=59, step=1260, lr=0.195000, batch loss=0.262150, epoch loss=0.262150 Batch=119, step=1320, lr=0.194750, batch loss=0.205247, epoch loss=0.467397 Batch=179, step=1380, lr=0.194500, batch loss=0.243653, epoch loss=0.711049 Batch=239, step=1440, lr=0.194250, batch loss=0.347899, epoch loss=1.058948 Batch=299, step=1500, lr=0.194000, batch loss=0.247360, epoch loss=1.306308 Batch=359, step=1560, lr=0.193750, batch loss=0.316569, epoch loss=1.622877 Batch=419, step=1620, lr=0.193500, batch loss=0.312741, epoch loss=1.935618 Batch=479, step=1680, lr=0.193250, batch loss=0.276271, epoch loss=2.211889 Batch=539, step=1740, lr=0.193000, batch loss=0.209834, epoch loss=2.421723 Batch=599, step=1800, lr=0.192750, batch loss=0.250393, epoch loss=2.672116 Batch=659, step=1860, lr=0.192500, batch loss=0.367203, epoch loss=3.039319 Batch=719, step=1920, lr=0.192250, batch loss=0.354915, epoch loss=3.394234 Batch=779, step=1980, lr=0.192000, batch loss=0.381380, epoch loss=3.775614 Batch=839, step=2040, lr=0.191750, batch loss=0.339640, epoch loss=4.115254 Batch=899, step=2100, lr=0.191500, batch loss=0.295239, epoch loss=4.410492 Batch=959, step=2160, lr=0.191250, batch loss=0.214024, epoch loss=4.624516 Batch=1019, step=2220, lr=0.191000, batch loss=0.330977, epoch loss=4.955493 Batch=1079, step=2280, lr=0.190750, batch loss=0.208240, epoch loss=5.163733 Batch=1139, step=2340, lr=0.190500, batch loss=0.278370, epoch loss=5.442103 Batch=1199, step=2400, lr=0.190250, batch loss=0.220804, epoch loss=5.662907 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662907 Batch=59, step=2460, lr=0.190000, batch loss=0.230367, epoch loss=0.230367 Batch=119, step=2520, lr=0.189750, batch loss=0.195961, epoch loss=0.426327 Batch=179, step=2580, lr=0.189500, batch loss=0.221159, epoch loss=0.647486 Batch=239, step=2640, lr=0.189250, batch loss=0.328096, epoch loss=0.975582 Batch=299, step=2700, lr=0.189000, batch loss=0.202955, epoch loss=1.178538 Batch=359, step=2760, lr=0.188750, batch loss=0.289893, epoch loss=1.468431 Batch=419, step=2820, lr=0.188500, batch loss=0.281749, epoch loss=1.750180 Batch=479, step=2880, lr=0.188250, batch loss=0.264847, epoch loss=2.015027 Batch=539, step=2940, lr=0.188000, batch loss=0.203806, epoch loss=2.218833 Batch=599, step=3000, lr=0.187750, batch loss=0.248081, epoch loss=2.466913 Batch=659, step=3060, lr=0.187500, batch loss=0.345059, epoch loss=2.811973 Batch=719, step=3120, lr=0.187250, batch loss=0.343533, epoch loss=3.155506 Batch=779, step=3180, lr=0.187000, batch loss=0.366988, epoch loss=3.522493 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844272 Batch=899, step=3300, lr=0.186500, batch loss=0.283867, epoch loss=4.128139 Batch=959, step=3360, lr=0.186250, batch loss=0.214401, epoch loss=4.342540 Batch=1019, step=3420, lr=0.186000, batch loss=0.306407, epoch loss=4.648947 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826261 Batch=1139, step=3540, lr=0.185500, batch loss=0.235575, epoch loss=5.061836 Batch=1199, step=3600, lr=0.185250, batch loss=0.197919, epoch loss=5.259754 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259754 Batch=59, step=3660, lr=0.185000, batch loss=0.226536, epoch loss=0.226536 Batch=119, step=3720, lr=0.184750, batch loss=0.191803, epoch loss=0.418339 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629051 Batch=239, step=3840, lr=0.184250, batch loss=0.314101, epoch loss=0.943152 Batch=299, step=3900, lr=0.184000, batch loss=0.206019, epoch loss=1.149171 Batch=359, step=3960, lr=0.183750, batch loss=0.291250, epoch loss=1.440421 Batch=419, step=4020, lr=0.183500, batch loss=0.297443, epoch loss=1.737863 Batch=479, step=4080, lr=0.183250, batch loss=0.260510, epoch loss=1.998373 Batch=539, step=4140, lr=0.183000, batch loss=0.195238, epoch loss=2.193611 Batch=599, step=4200, lr=0.182750, batch loss=0.230392, epoch loss=2.424003 Batch=659, step=4260, lr=0.182500, batch loss=0.337138, epoch loss=2.761142 Batch=719, step=4320, lr=0.182250, batch loss=0.347110, epoch loss=3.108252 Batch=779, step=4380, lr=0.182000, batch loss=0.346323, epoch loss=3.454575 Batch=839, step=4440, lr=0.181750, batch loss=0.317768, epoch loss=3.772342 Batch=899, step=4500, lr=0.181500, batch loss=0.283911, epoch loss=4.056253 Batch=959, step=4560, lr=0.181250, batch loss=0.238349, epoch loss=4.294602 Batch=1019, step=4620, lr=0.181000, batch loss=0.336903, epoch loss=4.631506 Batch=1079, step=4680, lr=0.180750, batch loss=0.208576, epoch loss=4.840082 Batch=1139, step=4740, lr=0.180500, batch loss=0.249219, epoch loss=5.089301 Batch=1199, step=4800, lr=0.180250, batch loss=0.191776, epoch loss=5.281077 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281077 Batch=59, step=4860, lr=0.180000, batch loss=0.228071, epoch loss=0.228071 Batch=119, step=4920, lr=0.179750, batch loss=0.190226, epoch loss=0.418297 Batch=179, step=4980, lr=0.179500, batch loss=0.205906, epoch loss=0.624204 Batch=239, step=5040, lr=0.179250, batch loss=0.309062, epoch loss=0.933265 Batch=299, step=5100, lr=0.179000, batch loss=0.204603, epoch loss=1.137869 Batch=359, step=5160, lr=0.178750, batch loss=0.271138, epoch loss=1.409006 Batch=419, step=5220, lr=0.178500, batch loss=0.264059, epoch loss=1.673065 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912757 Batch=539, step=5340, lr=0.178000, batch loss=0.189457, epoch loss=2.102214 Batch=599, step=5400, lr=0.177750, batch loss=0.231011, epoch loss=2.333226 Batch=659, step=5460, lr=0.177500, batch loss=0.323600, epoch loss=2.656826 Batch=719, step=5520, lr=0.177250, batch loss=0.325855, epoch loss=2.982680 Batch=779, step=5580, lr=0.177000, batch loss=0.343185, epoch loss=3.325865 Batch=839, step=5640, lr=0.176750, batch loss=0.309337, epoch loss=3.635202 Batch=899, step=5700, lr=0.176500, batch loss=0.273177, epoch loss=3.908378 Batch=959, step=5760, lr=0.176250, batch loss=0.214895, epoch loss=4.123273 Batch=1019, step=5820, lr=0.176000, batch loss=0.339173, epoch loss=4.462446 Batch=1079, step=5880, lr=0.175750, batch loss=0.207803, epoch loss=4.670248 Batch=1139, step=5940, lr=0.175500, batch loss=0.240065, epoch loss=4.910313 Batch=1199, step=6000, lr=0.175250, batch loss=0.186873, epoch loss=5.097186 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097186 Batch=59, step=6060, lr=0.175000, batch loss=0.230513, epoch loss=0.230513 Batch=119, step=6120, lr=0.174750, batch loss=0.194301, epoch loss=0.424814 Batch=179, step=6180, lr=0.174500, batch loss=0.201542, epoch loss=0.626356 Batch=239, step=6240, lr=0.174250, batch loss=0.302372, epoch loss=0.928728 Batch=299, step=6300, lr=0.174000, batch loss=0.203946, epoch loss=1.132673 Batch=359, step=6360, lr=0.173750, batch loss=0.266106, epoch loss=1.398779 Batch=419, step=6420, lr=0.173500, batch loss=0.265295, epoch loss=1.664074 Batch=479, step=6480, lr=0.173250, batch loss=0.243311, epoch loss=1.907386 Batch=539, step=6540, lr=0.173000, batch loss=0.192988, epoch loss=2.100373 Batch=599, step=6600, lr=0.172750, batch loss=0.234487, epoch loss=2.334860 Batch=659, step=6660, lr=0.172500, batch loss=0.312113, epoch loss=2.646973 Batch=719, step=6720, lr=0.172250, batch loss=0.314208, epoch loss=2.961181 Batch=779, step=6780, lr=0.172000, batch loss=0.333233, epoch loss=3.294415 Batch=839, step=6840, lr=0.171750, batch loss=0.303746, epoch loss=3.598161 Batch=899, step=6900, lr=0.171500, batch loss=0.268478, epoch loss=3.866638 Batch=959, step=6960, lr=0.171250, batch loss=0.211005, epoch loss=4.077644 Batch=1019, step=7020, lr=0.171000, batch loss=0.329778, epoch loss=4.407422 Batch=1079, step=7080, lr=0.170750, batch loss=0.180626, epoch loss=4.588048 Batch=1139, step=7140, lr=0.170500, batch loss=0.216089, epoch loss=4.804137 Batch=1199, step=7200, lr=0.170250, batch loss=0.185677, epoch loss=4.989814 Epoch=5, step=7200, lr=0.170250, epoch loss=4.989814 Batch=59, step=7260, lr=0.170000, batch loss=0.232483, epoch loss=0.232483 Batch=119, step=7320, lr=0.169750, batch loss=0.184589, epoch loss=0.417072 Batch=179, step=7380, lr=0.169500, batch loss=0.196603, epoch loss=0.613675 Batch=239, step=7440, lr=0.169250, batch loss=0.291669, epoch loss=0.905344 Batch=299, step=7500, lr=0.169000, batch loss=0.200904, epoch loss=1.106248 Batch=359, step=7560, lr=0.168500, batch loss=0.258539, epoch loss=1.364788 Batch=419, step=7620, lr=0.168500, batch loss=0.257332, epoch loss=1.622119 Batch=479, step=7680, lr=0.168250, batch loss=0.235390, epoch loss=1.857509 Batch=539, step=7740, lr=0.167750, batch loss=0.188495, epoch loss=2.046004 Batch=599, step=7800, lr=0.167500, batch loss=0.223172, epoch loss=2.269176 Batch=659, step=7860, lr=0.167250, batch loss=0.306291, epoch loss=2.575467 Batch=719, step=7920, lr=0.167250, batch loss=0.308705, epoch loss=2.884171 Batch=779, step=7980, lr=0.167000, batch loss=0.330558, epoch loss=3.214729 Batch=839, step=8040, lr=0.166750, batch loss=0.292059, epoch loss=3.506788 Batch=899, step=8100, lr=0.166500, batch loss=0.262236, epoch loss=3.769023 Batch=959, step=8160, lr=0.166250, batch loss=0.192475, epoch loss=3.961498 Batch=1019, step=8220, lr=0.166000, batch loss=0.291069, epoch loss=4.252567 Batch=1079, step=8280, lr=0.165750, batch loss=0.184342, epoch loss=4.436909 Batch=1139, step=8340, lr=0.165500, batch loss=0.216249, epoch loss=4.653158 Batch=1199, step=8400, lr=0.165250, batch loss=0.172771, epoch loss=4.825929 Epoch=6, step=8400, lr=0.165250, epoch loss=4.825929 Batch=59, step=8460, lr=0.165000, batch loss=0.212083, epoch loss=0.212083 Batch=119, step=8520, lr=0.164500, batch loss=0.177912, epoch loss=0.389995 Batch=179, step=8580, lr=0.164500, batch loss=0.188666, epoch loss=0.578661 Batch=239, step=8640, lr=0.164000, batch loss=0.278147, epoch loss=0.856808 Batch=299, step=8700, lr=0.164000, batch loss=0.193644, epoch loss=1.050452 Batch=359, step=8760, lr=0.163750, batch loss=0.247335, epoch loss=1.297787 Batch=419, step=8820, lr=0.163500, batch loss=0.245177, epoch loss=1.542964 Batch=479, step=8880, lr=0.163000, batch loss=0.229359, epoch loss=1.772324 Batch=539, step=8940, lr=0.163000, batch loss=0.177380, epoch loss=1.949704 Batch=599, step=9000, lr=0.162500, batch loss=0.217746, epoch loss=2.167450 Batch=659, step=9060, lr=0.162250, batch loss=0.294822, epoch loss=2.462272 Batch=719, step=9120, lr=0.162000, batch loss=0.299727, epoch loss=2.761998 Batch=779, step=9180, lr=0.161750, batch loss=0.316169, epoch loss=3.078167 Batch=839, step=9240, lr=0.161500, batch loss=0.282135, epoch loss=3.360303 Batch=899, step=9300, lr=0.161500, batch loss=0.250430, epoch loss=3.610733 Batch=959, step=9360, lr=0.161250, batch loss=0.198485, epoch loss=3.809218 Batch=1019, step=9420, lr=0.160750, batch loss=0.306720, epoch loss=4.115938 Batch=1079, step=9480, lr=0.160750, batch loss=0.191767, epoch loss=4.307705 Batch=1139, step=9540, lr=0.160250, batch loss=0.216075, epoch loss=4.523780 Batch=1199, step=9600, lr=0.160000, batch loss=0.165563, epoch loss=4.689343 Epoch=7, step=9600, lr=0.160000, epoch loss=4.689343 Batch=59, step=9660, lr=0.159750, batch loss=0.198900, epoch loss=0.198900 Batch=119, step=9720, lr=0.159750, batch loss=0.164469, epoch loss=0.363369 Batch=179, step=9780, lr=0.159500, batch loss=0.179023, epoch loss=0.542393 Batch=239, step=9840, lr=0.159250, batch loss=0.263715, epoch loss=0.806107 Batch=299, step=9900, lr=0.159000, batch loss=0.179184, epoch loss=0.985291 Batch=359, step=9960, lr=0.158750, batch loss=0.244027, epoch loss=1.229318 Batch=419, step=10020, lr=0.158500, batch loss=0.245315, epoch loss=1.474634 Batch=479, step=10080, lr=0.158250, batch loss=0.221713, epoch loss=1.696347 Batch=539, step=10140, lr=0.158000, batch loss=0.170587, epoch loss=1.866934 Batch=599, step=10200, lr=0.157750, batch loss=0.204108, epoch loss=2.071041 Batch=659, step=10260, lr=0.157500, batch loss=0.280131, epoch loss=2.351173 Batch=719, step=10320, lr=0.157250, batch loss=0.284739, epoch loss=2.635912 Batch=779, step=10380, lr=0.157000, batch loss=0.294275, epoch loss=2.930187 Batch=839, step=10440, lr=0.156750, batch loss=0.265949, epoch loss=3.196136 Batch=899, step=10500, lr=0.156500, batch loss=0.237864, epoch loss=3.433999 Batch=959, step=10560, lr=0.156000, batch loss=0.176706, epoch loss=3.610705 Batch=1019, step=10620, lr=0.156000, batch loss=0.300596, epoch loss=3.911301 Batch=1079, step=10680, lr=0.155500, batch loss=0.176346, epoch loss=4.087647 Batch=1139, step=10740, lr=0.155250, batch loss=0.200629, epoch loss=4.288277 Batch=1199, step=10800, lr=0.155250, batch loss=0.154685, epoch loss=4.442962 Epoch=8, step=10800, lr=0.155250, epoch loss=4.442962 Batch=59, step=10860, lr=0.154750, batch loss=0.177159, epoch loss=0.177159 Batch=119, step=10920, lr=0.154500, batch loss=0.151293, epoch loss=0.328452 Batch=179, step=10980, lr=0.154500, batch loss=0.166155, epoch loss=0.494607 Batch=239, step=11040, lr=0.154000, batch loss=0.246745, epoch loss=0.741353 Batch=299, step=11100, lr=0.153750, batch loss=0.168287, epoch loss=0.909639 Batch=359, step=11160, lr=0.153750, batch loss=0.221165, epoch loss=1.130804 Batch=419, step=11220, lr=0.153500, batch loss=0.219230, epoch loss=1.350034 Batch=479, step=11280, lr=0.153000, batch loss=0.209755, epoch loss=1.559789 Batch=539, step=11340, lr=0.153000, batch loss=0.159543, epoch loss=1.719333 Batch=599, step=11400, lr=0.152750, batch loss=0.178017, epoch loss=1.897349 Batch=659, step=11460, lr=0.152250, batch loss=0.265185, epoch loss=2.162535 Batch=719, step=11520, lr=0.152250, batch loss=0.257551, epoch loss=2.420086 Batch=779, step=11580, lr=0.151750, batch loss=0.273928, epoch loss=2.694014 Batch=839, step=11640, lr=0.151500, batch loss=0.255112, epoch loss=2.949125 Batch=899, step=11700, lr=0.151250, batch loss=0.213335, epoch loss=3.162460 Batch=959, step=11760, lr=0.151000, batch loss=0.166495, epoch loss=3.328955 Batch=1019, step=11820, lr=0.150750, batch loss=0.266667, epoch loss=3.595622 Batch=1079, step=11880, lr=0.150750, batch loss=0.148959, epoch loss=3.744581 Batch=1139, step=11940, lr=0.150250, batch loss=0.185957, epoch loss=3.930538 Batch=1199, step=12000, lr=0.150000, batch loss=0.139115, epoch loss=4.069653 Epoch=9, step=12000, lr=0.150000, epoch loss=4.069653 Batch=59, step=12060, lr=0.150000, batch loss=0.157709, epoch loss=0.157709 Batch=119, step=12120, lr=0.149500, batch loss=0.128135, epoch loss=0.285845 Batch=179, step=12180, lr=0.149250, batch loss=0.152864, epoch loss=0.438708 Batch=239, step=12240, lr=0.149000, batch loss=0.218922, epoch loss=0.657630 Batch=299, step=12300, lr=0.148750, batch loss=0.139972, epoch loss=0.797602 Batch=359, step=12360, lr=0.148750, batch loss=0.196714, epoch loss=0.994316 Batch=419, step=12420, lr=0.148250, batch loss=0.205209, epoch loss=1.199525 Batch=479, step=12480, lr=0.148000, batch loss=0.179739, epoch loss=1.379264 Batch=539, step=12540, lr=0.148000, batch loss=0.141907, epoch loss=1.521172 Batch=599, step=12600, lr=0.147500, batch loss=0.150931, epoch loss=1.672103 Batch=659, step=12660, lr=0.147250, batch loss=0.223754, epoch loss=1.895857 Batch=719, step=12720, lr=0.147000, batch loss=0.233018, epoch loss=2.128874 Batch=779, step=12780, lr=0.146750, batch loss=0.254454, epoch loss=2.383328 Batch=839, step=12840, lr=0.146500, batch loss=0.234364, epoch loss=2.617692 Batch=899, step=12900, lr=0.146250, batch loss=0.230633, epoch loss=2.848325 Batch=959, step=12960, lr=0.146000, batch loss=0.139778, epoch loss=2.988103 Batch=1019, step=13020, lr=0.145750, batch loss=0.220883, epoch loss=3.208986 Batch=1079, step=13080, lr=0.145500, batch loss=0.107636, epoch loss=3.316622 Batch=1139, step=13140, lr=0.145250, batch loss=0.144478, epoch loss=3.461100 Batch=1199, step=13200, lr=0.145000, batch loss=0.117543, epoch loss=3.578643 Epoch=10, step=13200, lr=0.145000, epoch loss=3.578643 Batch=59, step=13260, lr=0.144750, batch loss=0.144403, epoch loss=0.144403 Batch=119, step=13320, lr=0.144500, batch loss=0.125955, epoch loss=0.270358 Batch=179, step=13380, lr=0.144250, batch loss=0.128873, epoch loss=0.399231 Batch=239, step=13440, lr=0.144250, batch loss=0.191467, epoch loss=0.590697 Batch=299, step=13500, lr=0.143750, batch loss=0.117359, epoch loss=0.708056 Batch=359, step=13560, lr=0.143500, batch loss=0.162938, epoch loss=0.870994 Batch=419, step=13620, lr=0.143250, batch loss=0.160126, epoch loss=1.031120 Batch=479, step=13680, lr=0.143000, batch loss=0.147063, epoch loss=1.178183 Batch=539, step=13740, lr=0.143000, batch loss=0.116277, epoch loss=1.294460 Batch=599, step=13800, lr=0.142750, batch loss=0.120267, epoch loss=1.414727 Batch=659, step=13860, lr=0.142250, batch loss=0.179626, epoch loss=1.594353 Batch=719, step=13920, lr=0.142000, batch loss=0.194689, epoch loss=1.789042 Batch=779, step=13980, lr=0.141750, batch loss=0.234591, epoch loss=2.023633 Batch=839, step=14040, lr=0.141500, batch loss=0.196447, epoch loss=2.220080 Batch=899, step=14100, lr=0.141500, batch loss=0.198599, epoch loss=2.418679 Batch=959, step=14160, lr=0.141000, batch loss=0.116538, epoch loss=2.535217 Batch=1019, step=14220, lr=0.140750, batch loss=0.193507, epoch loss=2.728724 Batch=1079, step=14280, lr=0.140500, batch loss=0.078313, epoch loss=2.807037 Batch=1139, step=14340, lr=0.140250, batch loss=0.120167, epoch loss=2.927203 Batch=1199, step=14400, lr=0.140000, batch loss=0.086363, epoch loss=3.013566 Epoch=11, step=14400, lr=0.140000, epoch loss=3.013566 Batch=59, step=14460, lr=0.139750, batch loss=0.104922, epoch loss=0.104922 Batch=119, step=14520, lr=0.139500, batch loss=0.099736, epoch loss=0.204658 Batch=179, step=14580, lr=0.139500, batch loss=0.100189, epoch loss=0.304847 Batch=239, step=14640, lr=0.139000, batch loss=0.140727, epoch loss=0.445573 Batch=299, step=14700, lr=0.138750, batch loss=0.074653, epoch loss=0.520226 Batch=359, step=14760, lr=0.138750, batch loss=0.122493, epoch loss=0.642719 Batch=419, step=14820, lr=0.138250, batch loss=0.128626, epoch loss=0.771346 Batch=479, step=14880, lr=0.138000, batch loss=0.104104, epoch loss=0.875450 Batch=539, step=14940, lr=0.138000, batch loss=0.118954, epoch loss=0.994404 Batch=599, step=15000, lr=0.137750, batch loss=0.085001, epoch loss=1.079405 Batch=659, step=15060, lr=0.137250, batch loss=0.140639, epoch loss=1.220044 Batch=719, step=15120, lr=0.137250, batch loss=0.160494, epoch loss=1.380538 Batch=779, step=15180, lr=0.137000, batch loss=0.255039, epoch loss=1.635577 Batch=839, step=15240, lr=0.136750, batch loss=0.135999, epoch loss=1.771576 Batch=899, step=15300, lr=0.136250, batch loss=0.147981, epoch loss=1.919557 Batch=959, step=15360, lr=0.136250, batch loss=0.072755, epoch loss=1.992312 Batch=1019, step=15420, lr=0.135750, batch loss=0.169596, epoch loss=2.161908 Batch=1079, step=15480, lr=0.135750, batch loss=0.036996, epoch loss=2.198904 Batch=1139, step=15540, lr=0.135500, batch loss=0.087375, epoch loss=2.286279 Batch=1199, step=15600, lr=0.135250, batch loss=0.056164, epoch loss=2.342443 Epoch=12, step=15600, lr=0.135250, epoch loss=2.342443 Batch=59, step=15660, lr=0.135000, batch loss=0.084791, epoch loss=0.084791 Batch=119, step=15720, lr=0.134750, batch loss=0.147161, epoch loss=0.231952 Batch=179, step=15780, lr=0.134500, batch loss=0.102230, epoch loss=0.334182 Batch=239, step=15840, lr=0.134000, batch loss=0.100391, epoch loss=0.434573 Batch=299, step=15900, lr=0.134000, batch loss=0.043902, epoch loss=0.478475 Batch=359, step=15960, lr=0.133750, batch loss=0.083553, epoch loss=0.562028 Batch=419, step=16020, lr=0.133500, batch loss=0.079583, epoch loss=0.641611 Batch=479, step=16080, lr=0.133250, batch loss=0.061550, epoch loss=0.703161 Batch=539, step=16140, lr=0.133000, batch loss=0.061090, epoch loss=0.764251 Batch=599, step=16200, lr=0.132750, batch loss=0.136941, epoch loss=0.901193 Batch=659, step=16260, lr=0.132250, batch loss=0.084176, epoch loss=0.985368 Batch=719, step=16320, lr=0.132250, batch loss=0.119958, epoch loss=1.105326 Batch=779, step=16380, lr=0.132000, batch loss=0.300493, epoch loss=1.405820 Batch=839, step=16440, lr=0.131500, batch loss=0.092828, epoch loss=1.498648 Batch=899, step=16500, lr=0.131500, batch loss=0.079040, epoch loss=1.577687 Batch=959, step=16560, lr=0.131000, batch loss=0.032648, epoch loss=1.610335 Batch=1019, step=16620, lr=0.131000, batch loss=0.072617, epoch loss=1.682952 Batch=1079, step=16680, lr=0.130750, batch loss=0.049068, epoch loss=1.732020 Batch=1139, step=16740, lr=0.130500, batch loss=0.079735, epoch loss=1.811755 Batch=1199, step=16800, lr=0.130250, batch loss=0.037992, epoch loss=1.849747 Epoch=13, step=16800, lr=0.130250, epoch loss=1.849747 Batch=59, step=16860, lr=0.130000, batch loss=0.033663, epoch loss=0.033663 Batch=119, step=16920, lr=0.129750, batch loss=0.036694, epoch loss=0.070357 Batch=179, step=16980, lr=0.129500, batch loss=0.043692, epoch loss=0.114049 Batch=239, step=17040, lr=0.129250, batch loss=0.061482, epoch loss=0.175531 Batch=299, step=17100, lr=0.128750, batch loss=0.025836, epoch loss=0.201366 Batch=359, step=17160, lr=0.128750, batch loss=0.055122, epoch loss=0.256489 Batch=419, step=17220, lr=0.128250, batch loss=0.094943, epoch loss=0.351432 Batch=479, step=17280, lr=0.128250, batch loss=0.025383, epoch loss=0.376814 Batch=539, step=17340, lr=0.128000, batch loss=0.027189, epoch loss=0.404004 Batch=599, step=17400, lr=0.127750, batch loss=0.040106, epoch loss=0.444110 Batch=659, step=17460, lr=0.127250, batch loss=0.054531, epoch loss=0.498641 Batch=719, step=17520, lr=0.127250, batch loss=0.057362, epoch loss=0.556003 Batch=779, step=17580, lr=0.126750, batch loss=0.065384, epoch loss=0.621387 Batch=839, step=17640, lr=0.126500, batch loss=0.099950, epoch loss=0.721337 Batch=899, step=17700, lr=0.126500, batch loss=0.049619, epoch loss=0.770957 Batch=959, step=17760, lr=0.126000, batch loss=0.019776, epoch loss=0.790733 Batch=1019, step=17820, lr=0.126000, batch loss=0.052470, epoch loss=0.843203 Batch=1079, step=17880, lr=0.125750, batch loss=0.050046, epoch loss=0.893249 Batch=1139, step=17940, lr=0.125500, batch loss=0.101177, epoch loss=0.994426 Batch=1199, step=18000, lr=0.125250, batch loss=0.023334, epoch loss=1.017760 Epoch=14, step=18000, lr=0.125250, epoch loss=1.017760 Batch=59, step=18060, lr=0.125000, batch loss=0.018462, epoch loss=0.018462 Batch=119, step=18120, lr=0.124750, batch loss=0.020741, epoch loss=0.039203 Batch=179, step=18180, lr=0.124500, batch loss=0.030464, epoch loss=0.069667 Batch=239, step=18240, lr=0.124250, batch loss=0.042321, epoch loss=0.111988 Batch=299, step=18300, lr=0.124000, batch loss=0.017311, epoch loss=0.129300 Batch=359, step=18360, lr=0.123750, batch loss=0.026642, epoch loss=0.155941 Batch=419, step=18420, lr=0.123500, batch loss=0.028203, epoch loss=0.184144 Batch=479, step=18480, lr=0.123250, batch loss=0.019990, epoch loss=0.204134 Batch=539, step=18540, lr=0.123000, batch loss=0.042461, epoch loss=0.246595 Batch=599, step=18600, lr=0.122750, batch loss=0.027100, epoch loss=0.273695 Batch=659, step=18660, lr=0.122500, batch loss=0.032180, epoch loss=0.305875 Batch=719, step=18720, lr=0.122250, batch loss=0.033884, epoch loss=0.339760 Batch=779, step=18780, lr=0.122000, batch loss=0.083870, epoch loss=0.423630 Batch=839, step=18840, lr=0.121750, batch loss=0.055101, epoch loss=0.478731 Batch=899, step=18900, lr=0.121500, batch loss=0.059462, epoch loss=0.538193 Batch=959, step=18960, lr=0.121250, batch loss=0.013461, epoch loss=0.551655 Batch=1019, step=19020, lr=0.121000, batch loss=0.022559, epoch loss=0.574213 Batch=1079, step=19080, lr=0.120750, batch loss=0.010146, epoch loss=0.584360 Batch=1139, step=19140, lr=0.120500, batch loss=0.023180, epoch loss=0.607539 Batch=1199, step=19200, lr=0.120250, batch loss=0.008802, epoch loss=0.616341 Epoch=15, step=19200, lr=0.120250, epoch loss=0.616341 Batch=59, step=19260, lr=0.120000, batch loss=0.004357, epoch loss=0.004357 Batch=119, step=19320, lr=0.119750, batch loss=0.016525, epoch loss=0.020881 Batch=179, step=19380, lr=0.119500, batch loss=0.041661, epoch loss=0.062543 Batch=239, step=19440, lr=0.119250, batch loss=0.021532, epoch loss=0.084075 Batch=299, step=19500, lr=0.119000, batch loss=0.007378, epoch loss=0.091453 Batch=359, step=19560, lr=0.118750, batch loss=0.016873, epoch loss=0.108326 Batch=419, step=19620, lr=0.118500, batch loss=0.020361, epoch loss=0.128687 Batch=479, step=19680, lr=0.118250, batch loss=0.007459, epoch loss=0.136147 Batch=539, step=19740, lr=0.118000, batch loss=0.016628, epoch loss=0.152774 Batch=599, step=19800, lr=0.117750, batch loss=0.023650, epoch loss=0.176425 Batch=659, step=19860, lr=0.117500, batch loss=0.019561, epoch loss=0.195986 Batch=719, step=19920, lr=0.117250, batch loss=0.049014, epoch loss=0.245001 Batch=779, step=19980, lr=0.117000, batch loss=0.082784, epoch loss=0.327784 Batch=839, step=20040, lr=0.116750, batch loss=0.031860, epoch loss=0.359645 Batch=899, step=20100, lr=0.116500, batch loss=0.033838, epoch loss=0.393483 Batch=959, step=20160, lr=0.116250, batch loss=0.011833, epoch loss=0.405315 Batch=1019, step=20220, lr=0.116000, batch loss=0.013624, epoch loss=0.418940 Batch=1079, step=20280, lr=0.115750, batch loss=0.003518, epoch loss=0.422458 Batch=1139, step=20340, lr=0.115500, batch loss=0.019296, epoch loss=0.441754 Batch=1199, step=20400, lr=0.115250, batch loss=0.007534, epoch loss=0.449288 Epoch=16, step=20400, lr=0.115250, epoch loss=0.449288 Batch=59, step=20460, lr=0.115000, batch loss=0.003348, epoch loss=0.003348 Batch=119, step=20520, lr=0.114750, batch loss=0.008907, epoch loss=0.012255 Batch=179, step=20580, lr=0.114500, batch loss=0.016480, epoch loss=0.028735 Batch=239, step=20640, lr=0.114250, batch loss=0.022380, epoch loss=0.051114 Batch=299, step=20700, lr=0.114000, batch loss=0.010313, epoch loss=0.061427 Batch=359, step=20760, lr=0.113750, batch loss=0.014269, epoch loss=0.075696 Batch=419, step=20820, lr=0.113500, batch loss=0.014751, epoch loss=0.090447 Batch=479, step=20880, lr=0.113250, batch loss=0.004754, epoch loss=0.095201 Batch=539, step=20940, lr=0.113000, batch loss=0.015529, epoch loss=0.110730 Batch=599, step=21000, lr=0.112750, batch loss=0.018669, epoch loss=0.129398 Batch=659, step=21060, lr=0.112500, batch loss=0.015394, epoch loss=0.144792 Batch=719, step=21120, lr=0.112250, batch loss=0.043944, epoch loss=0.188736 Batch=779, step=21180, lr=0.112000, batch loss=0.072272, epoch loss=0.261008 Batch=839, step=21240, lr=0.111750, batch loss=0.026892, epoch loss=0.287899 Batch=899, step=21300, lr=0.111500, batch loss=0.027616, epoch loss=0.315516 Batch=959, step=21360, lr=0.111250, batch loss=0.009962, epoch loss=0.325478 Batch=1019, step=21420, lr=0.111000, batch loss=0.011127, epoch loss=0.336605 Batch=1079, step=21480, lr=0.110750, batch loss=0.001403, epoch loss=0.338008 Batch=1139, step=21540, lr=0.110500, batch loss=0.012899, epoch loss=0.350907 Batch=1199, step=21600, lr=0.110250, batch loss=0.005316, epoch loss=0.356224 Epoch=17, step=21600, lr=0.110250, epoch loss=0.356224 Batch=59, step=21660, lr=0.110000, batch loss=0.002764, epoch loss=0.002764 Batch=119, step=21720, lr=0.109750, batch loss=0.006518, epoch loss=0.009282 Batch=179, step=21780, lr=0.109500, batch loss=0.013002, epoch loss=0.022284 Batch=239, step=21840, lr=0.109250, batch loss=0.010443, epoch loss=0.032727 Batch=299, step=21900, lr=0.109000, batch loss=0.001709, epoch loss=0.034436 Batch=359, step=21960, lr=0.108750, batch loss=0.010778, epoch loss=0.045215 Batch=419, step=22020, lr=0.108500, batch loss=0.011650, epoch loss=0.056864 Batch=479, step=22080, lr=0.108250, batch loss=0.003551, epoch loss=0.060415 Batch=539, step=22140, lr=0.108000, batch loss=0.016197, epoch loss=0.076612 Batch=599, step=22200, lr=0.107750, batch loss=0.015296, epoch loss=0.091908 Batch=659, step=22260, lr=0.107500, batch loss=0.012882, epoch loss=0.104790 Batch=719, step=22320, lr=0.107250, batch loss=0.026915, epoch loss=0.131705 Batch=779, step=22380, lr=0.107000, batch loss=0.039596, epoch loss=0.171301 Batch=839, step=22440, lr=0.106750, batch loss=0.021739, epoch loss=0.193040 Batch=899, step=22500, lr=0.106500, batch loss=0.024802, epoch loss=0.217843 Batch=959, step=22560, lr=0.106250, batch loss=0.008898, epoch loss=0.226740 Batch=1019, step=22620, lr=0.106000, batch loss=0.009005, epoch loss=0.235745 Batch=1079, step=22680, lr=0.105750, batch loss=0.000358, epoch loss=0.236103 Batch=1139, step=22740, lr=0.105500, batch loss=0.010856, epoch loss=0.246959 Batch=1199, step=22800, lr=0.105250, batch loss=0.004490, epoch loss=0.251448 Epoch=18, step=22800, lr=0.105250, epoch loss=0.251448 Batch=59, step=22860, lr=0.105000, batch loss=0.001947, epoch loss=0.001947 Batch=119, step=22920, lr=0.104750, batch loss=0.005474, epoch loss=0.007422 Batch=179, step=22980, lr=0.104500, batch loss=0.010875, epoch loss=0.018297 Batch=239, step=23040, lr=0.104250, batch loss=0.009660, epoch loss=0.027957 Batch=299, step=23100, lr=0.104000, batch loss=0.011862, epoch loss=0.039819 Batch=359, step=23160, lr=0.103750, batch loss=0.011572, epoch loss=0.051391 Batch=419, step=23220, lr=0.103500, batch loss=0.010445, epoch loss=0.061836 Batch=479, step=23280, lr=0.103250, batch loss=0.002330, epoch loss=0.064166 Batch=539, step=23340, lr=0.103000, batch loss=0.017092, epoch loss=0.081258 Batch=599, step=23400, lr=0.102750, batch loss=0.013531, epoch loss=0.094788 Batch=659, step=23460, lr=0.102500, batch loss=0.012009, epoch loss=0.106798 Batch=719, step=23520, lr=0.102250, batch loss=0.014640, epoch loss=0.121438 Batch=779, step=23580, lr=0.102000, batch loss=0.021338, epoch loss=0.142775 Batch=839, step=23640, lr=0.101750, batch loss=0.026703, epoch loss=0.169479 Batch=899, step=23700, lr=0.101500, batch loss=0.022237, epoch loss=0.191715 Batch=959, step=23760, lr=0.101250, batch loss=0.007778, epoch loss=0.199494 Batch=1019, step=23820, lr=0.101000, batch loss=0.007024, epoch loss=0.206517 Batch=1079, step=23880, lr=0.100750, batch loss=0.001506, epoch loss=0.208023 Batch=1139, step=23940, lr=0.100500, batch loss=0.008346, epoch loss=0.216370 Batch=1199, step=24000, lr=0.100250, batch loss=0.004668, epoch loss=0.221038 Epoch=19, step=24000, lr=0.100250, epoch loss=0.221038 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************...******************#*######*#********************************.......│ │*******##*##**##**********...........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................**................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 16:51.02 ---> saved as "27a5e502c246d9400fcce2f05995bec9c2bfb8a20fc7b37116abe3b6d6380674" Job succeeded 2025-03-20 16:51.03: Job succeeded