2025-03-20 21:04.47: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0) (linux-x86_64:ubuntu-20.04-5.3_opam-2.3) Base: ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard ccaf459c cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195 # ubuntu-20.04-5.3_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 21:04.47: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195-ubuntu-20.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 21:04.47: Using OBuilder spec: ((from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195) (comment ubuntu-20.04-5.3_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 21:04.47: Waiting for resource in pool OCluster 2025-03-20 21:04.47: Waiting for worker… 2025-03-20 21:15.21: Got resource from pool OCluster Building on clete.caelum.ci.dev All commits already cached HEAD is now at ccaf459c Missing from previous commit: test update (from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195) 2025-03-20 21:15.49 ---> saved as "d6a86a5fa580a511bc47b9f81c505c664d6b1fdcbe9f7d39069ac2ba53948f98" /: (comment ubuntu-20.04-5.3_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 21:15.49 ---> saved as "e4c559ecd8860c61f49fce7cdb885f97ef6263360730db125d45927dd3160847" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 31 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=31 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 21:17.09 ---> saved as "9ff49ff109128f81f17ecaa56bc121fa8be57aeb2ced8b0a9487d633ee898d4a" /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 21:17.10 ---> saved as "738c3c1c23d535dbab62f668ede1ce97e62d7c350f7cb276ff4a9c0a6d842a7f" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 21:17.10 ---> saved as "e976b87820c4a8df89b999905db18252fae5f37ebe74ccfae6ed3810af338a29" /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 21:18.16 ---> saved as "708bfcd7071a8861aabd83f4c9f4de21aade0f3b6fd3203c8d7c8c273ca1214e" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 21:18.16 ---> saved as "ff94f4068c2cf030e72a202d3efd18b97569f53a40387699a856821487688e9e" /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 21:18.22 ---> saved as "6e58945f0f392fa74fd27782400928093c6352d4a1612ce55ec38023cdeeff8c" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 21:18.22 ---> saved as "a3c235c747530071c11c9fa8cef98351ed5c6bb92c15103af64956e0666a2a1f" /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 focal-security InRelease [128 kB] - Hit:2 http://archive.ubuntu.com/ubuntu focal InRelease - Get:3 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [4269 kB] - Get:4 http://archive.ubuntu.com/ubuntu focal-updates InRelease [128 kB] - Get:5 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [1301 kB] - Get:6 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [4441 kB] - Get:7 http://security.ubuntu.com/ubuntu focal-security/multiverse amd64 Packages [42.0 kB] - Get:8 http://archive.ubuntu.com/ubuntu focal-backports InRelease [128 kB] - Get:9 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [4638 kB] - Get:10 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [4756 kB] - Get:11 http://archive.ubuntu.com/ubuntu focal-updates/multiverse amd64 Packages [45.5 kB] - Get:12 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1595 kB] - Fetched 21.5 MB in 2s (11.8 MB/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 libglib2.0-0: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 ... 14727 files and directories currently installed.) - Preparing to unpack .../0-libglib2.0-0_2.64.6-1~ubuntu20.04.8_amd64.deb ... - Unpacking libglib2.0-0:amd64 (2.64.6-1~ubuntu20.04.8) ... - Selecting previously unselected package libglib2.0-data. - Preparing to unpack .../1-libglib2.0-data_2.64.6-1~ubuntu20.04.8_all.deb ... - Unpacking libglib2.0-data (2.64.6-1~ubuntu20.04.8) ... - Selecting previously unselected package tzdata. - Preparing to unpack .../2-tzdata_2024b-0ubuntu0.20.04.1_all.deb ... - Unpacking tzdata (2024b-0ubuntu0.20.04.1) ... - Selecting previously unselected package libicu66:amd64. - Preparing to unpack .../3-libicu66_66.1-2ubuntu2.1_amd64.deb ... - Unpacking libicu66:amd64 (66.1-2ubuntu2.1) ... - Selecting previously unselected package libxml2:amd64. - Preparing to unpack .../4-libxml2_2.9.10+dfsg-5ubuntu0.20.04.9_amd64.deb ... - Unpacking libxml2:amd64 (2.9.10+dfsg-5ubuntu0.20.04.9) ... - Selecting previously unselected package shared-mime-info. - Preparing to unpack .../5-shared-mime-info_1.15-1_amd64.deb ... - Unpacking shared-mime-info (1.15-1) ... - Selecting previously unselected package xdg-user-dirs. - Preparing to unpack .../6-xdg-user-dirs_0.17-2ubuntu1_amd64.deb ... - Unpacking xdg-user-dirs (0.17-2ubuntu1) ... - Selecting previously unselected package pkg-config. - Preparing to unpack .../7-pkg-config_0.29.1-0ubuntu4_amd64.deb ... - Unpacking pkg-config (0.29.1-0ubuntu4) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../8-libffi-dev_3.3-4_amd64.deb ... - Unpacking libffi-dev:amd64 (3.3-4) ... - Setting up xdg-user-dirs (0.17-2ubuntu1) ... - Setting up libglib2.0-0:amd64 (2.64.6-1~ubuntu20.04.8) ... - No schema files found: doing nothing. - Setting up libffi-dev:amd64 (3.3-4) ... - Setting up tzdata (2024b-0ubuntu0.20.04.1) ... - - Current default time zone: 'Europe/London' - Local time is now: Thu Mar 20 21:18:52 GMT 2025. - Universal Time is now: Thu Mar 20 21:18:52 UTC 2025. - Run 'dpkg-reconfigure tzdata' if you wish to change it. - - Setting up libglib2.0-data (2.64.6-1~ubuntu20.04.8) ... - Setting up pkg-config (0.29.1-0ubuntu4) ... - Setting up libicu66:amd64 (66.1-2ubuntu2.1) ... - Setting up libxml2:amd64 (2.9.10+dfsg-5ubuntu0.20.04.9) ... - Setting up shared-mime-info (1.15-1) ... - Processing triggers for libc-bin (2.31-0ubuntu9.17) ... 2025-03-20 21:18.53 ---> saved as "639de2f8014948e51d43ebc9488e5f78b6970e21ed952d58bc08c007ec4cf833" /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 bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (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 ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (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_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 ppxlib.0.35.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed 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 ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed integers.0.7.0 -> installed re.1.12.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_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_compare.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> 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_minidebug.2.1.0 -> installed ppx_base.v0.17.0 -> 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 21:22.00 ---> saved as "e00ee5676dc78cc413478d23699efee426c5e9970e2a9e936f0e1c8fc84512ec" /src: (copy (src .) (dst /src)) 2025-03-20 21:22.01 ---> saved as "a690444e9e4f04c5bba2dd89c2f88421a3ce7f4ab5452bf7f16e15ed3b2b4ed7" /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/d20f10b825933708942723a9233e536c/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/d20f10b825933708942723a9233e536c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d20f10b825933708942723a9233e536c/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/d20f10b825933708942723a9233e536c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d20f10b825933708942723a9233e536c/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/f9c25b283fd439df20f5b6423ad0da0e/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d20f10b825933708942723a9233e536c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d20f10b825933708942723a9233e536c/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/d20f10b825933708942723a9233e536c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d20f10b825933708942723a9233e536c/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/d20f10b825933708942723a9233e536c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d20f10b825933708942723a9233e536c/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/d20f10b825933708942723a9233e536c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d20f10b825933708942723a9233e536c/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/d20f10b825933708942723a9233e536c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d20f10b825933708942723a9233e536c/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/d20f10b825933708942723a9233e536c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d20f10b825933708942723a9233e536c/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/d20f10b825933708942723a9233e536c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d20f10b825933708942723a9233e536c/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/d20f10b825933708942723a9233e536c/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=0.196500, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382737, epoch loss=43.790422 Batch=959, step=960, lr=0.196250, batch loss=0.245113, epoch loss=44.035535 Batch=1019, step=1020, lr=0.196000, batch loss=0.466580, epoch loss=44.502115 Batch=1079, step=1080, lr=0.195500, batch loss=0.248741, epoch loss=44.750857 Batch=1139, step=1140, lr=0.195250, batch loss=0.317309, epoch loss=45.068165 Batch=1199, step=1200, lr=0.195250, batch loss=0.263722, epoch loss=45.331887 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331887 Batch=59, step=1260, lr=0.195000, batch loss=0.262166, epoch loss=0.262166 Batch=119, step=1320, lr=0.194750, batch loss=0.205257, epoch loss=0.467423 Batch=179, step=1380, lr=0.194500, batch loss=0.243660, epoch loss=0.711083 Batch=239, step=1440, lr=0.194000, batch loss=0.347895, epoch loss=1.058978 Batch=299, step=1500, lr=0.193750, batch loss=0.247369, epoch loss=1.306347 Batch=359, step=1560, lr=0.193750, batch loss=0.316572, epoch loss=1.622919 Batch=419, step=1620, lr=0.193500, batch loss=0.312774, epoch loss=1.935693 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211961 Batch=539, step=1740, lr=0.193000, batch loss=0.209867, epoch loss=2.421828 Batch=599, step=1800, lr=0.192750, batch loss=0.250385, epoch loss=2.672213 Batch=659, step=1860, lr=0.192500, batch loss=0.367232, epoch loss=3.039445 Batch=719, step=1920, lr=0.192250, batch loss=0.354885, epoch loss=3.394330 Batch=779, step=1980, lr=0.192000, batch loss=0.381399, epoch loss=3.775729 Batch=839, step=2040, lr=0.191750, batch loss=0.339643, epoch loss=4.115373 Batch=899, step=2100, lr=0.191500, batch loss=0.295255, epoch loss=4.410628 Batch=959, step=2160, lr=0.191250, batch loss=0.213985, epoch loss=4.624612 Batch=1019, step=2220, lr=0.191000, batch loss=0.331046, epoch loss=4.955659 Batch=1079, step=2280, lr=0.190750, batch loss=0.208193, epoch loss=5.163852 Batch=1139, step=2340, lr=0.190500, batch loss=0.278429, epoch loss=5.442281 Batch=1199, step=2400, lr=0.190250, batch loss=0.220812, epoch loss=5.663093 Epoch=1, step=2400, lr=0.190250, epoch loss=5.663093 Batch=59, step=2460, lr=0.190000, batch loss=0.230352, epoch loss=0.230352 Batch=119, step=2520, lr=0.189750, batch loss=0.195988, epoch loss=0.426340 Batch=179, step=2580, lr=0.189500, batch loss=0.221153, epoch loss=0.647492 Batch=239, step=2640, lr=0.189250, batch loss=0.328094, epoch loss=0.975587 Batch=299, step=2700, lr=0.189000, batch loss=0.203004, epoch loss=1.178590 Batch=359, step=2760, lr=0.188750, batch loss=0.288250, epoch loss=1.466840 Batch=419, step=2820, lr=0.188500, batch loss=0.280181, epoch loss=1.747021 Batch=479, step=2880, lr=0.188250, batch loss=0.251484, epoch loss=1.998505 Batch=539, step=2940, lr=0.188000, batch loss=0.191303, epoch loss=2.189808 Batch=599, step=3000, lr=0.187750, batch loss=0.224931, epoch loss=2.414739 Batch=659, step=3060, lr=0.187500, batch loss=0.335807, epoch loss=2.750547 Batch=719, step=3120, lr=0.187250, batch loss=0.331351, epoch loss=3.081898 Batch=779, step=3180, lr=0.187000, batch loss=0.357989, epoch loss=3.439887 Batch=839, step=3240, lr=0.186750, batch loss=0.325547, epoch loss=3.765433 Batch=899, step=3300, lr=0.186500, batch loss=0.292483, epoch loss=4.057916 Batch=959, step=3360, lr=0.186000, batch loss=0.244760, epoch loss=4.302676 Batch=1019, step=3420, lr=0.186000, batch loss=0.361830, epoch loss=4.664505 Batch=1079, step=3480, lr=0.185750, batch loss=0.222141, epoch loss=4.886646 Batch=1139, step=3540, lr=0.185500, batch loss=0.264003, epoch loss=5.150649 Batch=1199, step=3600, lr=0.185250, batch loss=0.199974, epoch loss=5.350624 Epoch=2, step=3600, lr=0.185250, epoch loss=5.350624 Batch=59, step=3660, lr=0.185000, batch loss=0.221243, epoch loss=0.221243 Batch=119, step=3720, lr=0.184750, batch loss=0.184948, epoch loss=0.406191 Batch=179, step=3780, lr=0.184500, batch loss=0.211389, epoch loss=0.617580 Batch=239, step=3840, lr=0.184250, batch loss=0.316973, epoch loss=0.934553 Batch=299, step=3900, lr=0.184000, batch loss=0.209193, epoch loss=1.143746 Batch=359, step=3960, lr=0.183750, batch loss=0.285680, epoch loss=1.429426 Batch=419, step=4020, lr=0.183500, batch loss=0.278228, epoch loss=1.707655 Batch=479, step=4080, lr=0.183250, batch loss=0.255006, epoch loss=1.962661 Batch=539, step=4140, lr=0.183000, batch loss=0.199932, epoch loss=2.162592 Batch=599, step=4200, lr=0.182750, batch loss=0.242690, epoch loss=2.405283 Batch=659, step=4260, lr=0.182500, batch loss=0.327727, epoch loss=2.733009 Batch=719, step=4320, lr=0.182250, batch loss=0.330886, epoch loss=3.063896 Batch=779, step=4380, lr=0.182000, batch loss=0.349710, epoch loss=3.413606 Batch=839, step=4440, lr=0.181750, batch loss=0.317863, epoch loss=3.731469 Batch=899, step=4500, lr=0.181500, batch loss=0.285730, epoch loss=4.017198 Batch=959, step=4560, lr=0.181250, batch loss=0.239713, epoch loss=4.256911 Batch=1019, step=4620, lr=0.180750, batch loss=0.332918, epoch loss=4.589829 Batch=1079, step=4680, lr=0.180750, batch loss=0.195592, epoch loss=4.785421 Batch=1139, step=4740, lr=0.180500, batch loss=0.229132, epoch loss=5.014553 Batch=1199, step=4800, lr=0.180250, batch loss=0.193380, epoch loss=5.207933 Epoch=3, step=4800, lr=0.180250, epoch loss=5.207933 Batch=59, step=4860, lr=0.180000, batch loss=0.242790, epoch loss=0.242790 Batch=119, step=4920, lr=0.179750, batch loss=0.198310, epoch loss=0.441099 Batch=179, step=4980, lr=0.179500, batch loss=0.206246, epoch loss=0.647346 Batch=239, step=5040, lr=0.179250, batch loss=0.306163, epoch loss=0.953509 Batch=299, step=5100, lr=0.179000, batch loss=0.202977, epoch loss=1.156485 Batch=359, step=5160, lr=0.178750, batch loss=0.272622, epoch loss=1.429108 Batch=419, step=5220, lr=0.178500, batch loss=0.264324, epoch loss=1.693432 Batch=479, step=5280, lr=0.178250, batch loss=0.240480, epoch loss=1.933912 Batch=539, step=5340, lr=0.178000, batch loss=0.189524, epoch loss=2.123436 Batch=599, step=5400, lr=0.177750, batch loss=0.232114, epoch loss=2.355550 Batch=659, step=5460, lr=0.177500, batch loss=0.323609, epoch loss=2.679159 Batch=719, step=5520, lr=0.177250, batch loss=0.325224, epoch loss=3.004383 Batch=779, step=5580, lr=0.177000, batch loss=0.337273, epoch loss=3.341655 Batch=839, step=5640, lr=0.176750, batch loss=0.314692, epoch loss=3.656348 Batch=899, step=5700, lr=0.176500, batch loss=0.277045, epoch loss=3.933393 Batch=959, step=5760, lr=0.176250, batch loss=0.207173, epoch loss=4.140566 Batch=1019, step=5820, lr=0.176000, batch loss=0.342479, epoch loss=4.483045 Batch=1079, step=5880, lr=0.175750, batch loss=0.203220, epoch loss=4.686266 Batch=1139, step=5940, lr=0.175500, batch loss=0.241825, epoch loss=4.928090 Batch=1199, step=6000, lr=0.175250, batch loss=0.185433, epoch loss=5.113523 Epoch=4, step=6000, lr=0.175250, epoch loss=5.113523 Batch=59, step=6060, lr=0.175000, batch loss=0.224580, epoch loss=0.224580 Batch=119, step=6120, lr=0.174750, batch loss=0.185557, epoch loss=0.410137 Batch=179, step=6180, lr=0.174250, batch loss=0.201640, epoch loss=0.611777 Batch=239, step=6240, lr=0.174250, batch loss=0.300109, epoch loss=0.911886 Batch=299, step=6300, lr=0.174000, batch loss=0.208045, epoch loss=1.119931 Batch=359, step=6360, lr=0.173750, batch loss=0.265067, epoch loss=1.384998 Batch=419, step=6420, lr=0.173250, batch loss=0.261147, epoch loss=1.646145 Batch=479, step=6480, lr=0.173250, batch loss=0.236811, epoch loss=1.882955 Batch=539, step=6540, lr=0.173000, batch loss=0.187208, epoch loss=2.070163 Batch=599, step=6600, lr=0.172750, batch loss=0.226736, epoch loss=2.296899 Batch=659, step=6660, lr=0.172500, batch loss=0.316636, epoch loss=2.613535 Batch=719, step=6720, lr=0.172250, batch loss=0.314046, epoch loss=2.927580 Batch=779, step=6780, lr=0.172000, batch loss=0.334414, epoch loss=3.261994 Batch=839, step=6840, lr=0.171750, batch loss=0.304102, epoch loss=3.566096 Batch=899, step=6900, lr=0.171500, batch loss=0.266244, epoch loss=3.832340 Batch=959, step=6960, lr=0.171250, batch loss=0.210058, epoch loss=4.042398 Batch=1019, step=7020, lr=0.171000, batch loss=0.329397, epoch loss=4.371794 Batch=1079, step=7080, lr=0.170750, batch loss=0.181622, epoch loss=4.553417 Batch=1139, step=7140, lr=0.170500, batch loss=0.216259, epoch loss=4.769675 Batch=1199, step=7200, lr=0.170250, batch loss=0.182089, epoch loss=4.951764 Epoch=5, step=7200, lr=0.170250, epoch loss=4.951764 Batch=59, step=7260, lr=0.170000, batch loss=0.241221, epoch loss=0.241221 Batch=119, step=7320, lr=0.169750, batch loss=0.179376, epoch loss=0.420597 Batch=179, step=7380, lr=0.169500, batch loss=0.195383, epoch loss=0.615980 Batch=239, step=7440, lr=0.169250, batch loss=0.291846, epoch loss=0.907826 Batch=299, step=7500, lr=0.169000, batch loss=0.209397, epoch loss=1.117223 Batch=359, step=7560, lr=0.168750, batch loss=0.260265, epoch loss=1.377488 Batch=419, step=7620, lr=0.168500, batch loss=0.255713, epoch loss=1.633201 Batch=479, step=7680, lr=0.168250, batch loss=0.238086, epoch loss=1.871288 Batch=539, step=7740, lr=0.168000, batch loss=0.187164, epoch loss=2.058451 Batch=599, step=7800, lr=0.167750, batch loss=0.226480, epoch loss=2.284932 Batch=659, step=7860, lr=0.167500, batch loss=0.305054, epoch loss=2.589986 Batch=719, step=7920, lr=0.167250, batch loss=0.307987, epoch loss=2.897973 Batch=779, step=7980, lr=0.167000, batch loss=0.321069, epoch loss=3.219042 Batch=839, step=8040, lr=0.166750, batch loss=0.296858, epoch loss=3.515900 Batch=899, step=8100, lr=0.166500, batch loss=0.263388, epoch loss=3.779289 Batch=959, step=8160, lr=0.166250, batch loss=0.199332, epoch loss=3.978620 Batch=1019, step=8220, lr=0.165750, batch loss=0.322843, epoch loss=4.301464 Batch=1079, step=8280, lr=0.165750, batch loss=0.193332, epoch loss=4.494796 Batch=1139, step=8340, lr=0.165500, batch loss=0.223241, epoch loss=4.718036 Batch=1199, step=8400, lr=0.165250, batch loss=0.173750, epoch loss=4.891786 Epoch=6, step=8400, lr=0.165250, epoch loss=4.891786 Batch=59, step=8460, lr=0.165000, batch loss=0.208437, epoch loss=0.208437 Batch=119, step=8520, lr=0.164750, batch loss=0.174276, epoch loss=0.382713 Batch=179, step=8580, lr=0.164500, batch loss=0.188490, epoch loss=0.571203 Batch=239, step=8640, lr=0.164250, batch loss=0.278801, epoch loss=0.850004 Batch=299, step=8700, lr=0.164000, batch loss=0.192395, epoch loss=1.042399 Batch=359, step=8760, lr=0.163750, batch loss=0.247272, epoch loss=1.289671 Batch=419, step=8820, lr=0.163500, batch loss=0.244959, epoch loss=1.534629 Batch=479, step=8880, lr=0.163000, batch loss=0.228800, epoch loss=1.763429 Batch=539, step=8940, lr=0.163000, batch loss=0.177387, epoch loss=1.940816 Batch=599, step=9000, lr=0.162750, batch loss=0.217927, epoch loss=2.158743 Batch=659, step=9060, lr=0.162500, batch loss=0.294363, epoch loss=2.453106 Batch=719, step=9120, lr=0.162250, batch loss=0.296200, epoch loss=2.749306 Batch=779, step=9180, lr=0.162000, batch loss=0.315081, epoch loss=3.064388 Batch=839, step=9240, lr=0.161750, batch loss=0.281290, epoch loss=3.345678 Batch=899, step=9300, lr=0.161500, batch loss=0.253085, epoch loss=3.598763 Batch=959, step=9360, lr=0.161250, batch loss=0.208672, epoch loss=3.807435 Batch=1019, step=9420, lr=0.161000, batch loss=0.296309, epoch loss=4.103744 Batch=1079, step=9480, lr=0.160750, batch loss=0.170615, epoch loss=4.274358 Batch=1139, step=9540, lr=0.160500, batch loss=0.200182, epoch loss=4.474540 Batch=1199, step=9600, lr=0.160250, batch loss=0.164873, epoch loss=4.639414 Epoch=7, step=9600, lr=0.160250, epoch loss=4.639414 Batch=59, step=9660, lr=0.160000, batch loss=0.189059, epoch loss=0.189059 Batch=119, step=9720, lr=0.159750, batch loss=0.163411, epoch loss=0.352469 Batch=179, step=9780, lr=0.159500, batch loss=0.178406, epoch loss=0.530875 Batch=239, step=9840, lr=0.159250, batch loss=0.260570, epoch loss=0.791445 Batch=299, step=9900, lr=0.159000, batch loss=0.185521, epoch loss=0.976967 Batch=359, step=9960, lr=0.158750, batch loss=0.243590, epoch loss=1.220557 Batch=419, step=10020, lr=0.158500, batch loss=0.243496, epoch loss=1.464053 Batch=479, step=10080, lr=0.158250, batch loss=0.222303, epoch loss=1.686355 Batch=539, step=10140, lr=0.158000, batch loss=0.166135, epoch loss=1.852490 Batch=599, step=10200, lr=0.157750, batch loss=0.202911, epoch loss=2.055401 Batch=659, step=10260, lr=0.157500, batch loss=0.281541, epoch loss=2.336941 Batch=719, step=10320, lr=0.157250, batch loss=0.276423, epoch loss=2.613364 Batch=779, step=10380, lr=0.157000, batch loss=0.294732, epoch loss=2.908096 Batch=839, step=10440, lr=0.156750, batch loss=0.269957, epoch loss=3.178053 Batch=899, step=10500, lr=0.156500, batch loss=0.237014, epoch loss=3.415067 Batch=959, step=10560, lr=0.156250, batch loss=0.177829, epoch loss=3.592895 Batch=1019, step=10620, lr=0.156000, batch loss=0.296438, epoch loss=3.889333 Batch=1079, step=10680, lr=0.155750, batch loss=0.181033, epoch loss=4.070366 Batch=1139, step=10740, lr=0.155250, batch loss=0.199473, epoch loss=4.269840 Batch=1199, step=10800, lr=0.155000, batch loss=0.155319, epoch loss=4.425158 Epoch=8, step=10800, lr=0.155000, epoch loss=4.425158 Batch=59, step=10860, lr=0.155000, batch loss=0.178586, epoch loss=0.178586 Batch=119, step=10920, lr=0.154750, batch loss=0.150134, epoch loss=0.328720 Batch=179, step=10980, lr=0.154500, batch loss=0.165473, epoch loss=0.494192 Batch=239, step=11040, lr=0.154250, batch loss=0.241721, epoch loss=0.735913 Batch=299, step=11100, lr=0.154000, batch loss=0.170351, epoch loss=0.906263 Batch=359, step=11160, lr=0.153750, batch loss=0.218656, epoch loss=1.124919 Batch=419, step=11220, lr=0.153500, batch loss=0.214796, epoch loss=1.339716 Batch=479, step=11280, lr=0.153250, batch loss=0.201995, epoch loss=1.541711 Batch=539, step=11340, lr=0.153000, batch loss=0.159364, epoch loss=1.701075 Batch=599, step=11400, lr=0.152750, batch loss=0.178408, epoch loss=1.879483 Batch=659, step=11460, lr=0.152500, batch loss=0.264853, epoch loss=2.144336 Batch=719, step=11520, lr=0.152250, batch loss=0.256531, epoch loss=2.400867 Batch=779, step=11580, lr=0.152000, batch loss=0.272279, epoch loss=2.673146 Batch=839, step=11640, lr=0.151750, batch loss=0.255034, epoch loss=2.928181 Batch=899, step=11700, lr=0.151500, batch loss=0.213286, epoch loss=3.141466 Batch=959, step=11760, lr=0.151250, batch loss=0.168076, epoch loss=3.309542 Batch=1019, step=11820, lr=0.151000, batch loss=0.265385, epoch loss=3.574927 Batch=1079, step=11880, lr=0.150750, batch loss=0.151234, epoch loss=3.726161 Batch=1139, step=11940, lr=0.150500, batch loss=0.185604, epoch loss=3.911766 Batch=1199, step=12000, lr=0.150250, batch loss=0.139355, epoch loss=4.051120 Epoch=9, step=12000, lr=0.150250, epoch loss=4.051120 Batch=59, step=12060, lr=0.150000, batch loss=0.158026, epoch loss=0.158026 Batch=119, step=12120, lr=0.149750, batch loss=0.127489, epoch loss=0.285514 Batch=179, step=12180, lr=0.149500, batch loss=0.151738, epoch loss=0.437252 Batch=239, step=12240, lr=0.149250, batch loss=0.218393, epoch loss=0.655645 Batch=299, step=12300, lr=0.149000, batch loss=0.140228, epoch loss=0.795873 Batch=359, step=12360, lr=0.148750, batch loss=0.196459, epoch loss=0.992332 Batch=419, step=12420, lr=0.148500, batch loss=0.211485, epoch loss=1.203817 Batch=479, step=12480, lr=0.148250, batch loss=0.174024, epoch loss=1.377841 Batch=539, step=12540, lr=0.148000, batch loss=0.146259, epoch loss=1.524100 Batch=599, step=12600, lr=0.147750, batch loss=0.157031, epoch loss=1.681132 Batch=659, step=12660, lr=0.147500, batch loss=0.239724, epoch loss=1.920856 Batch=719, step=12720, lr=0.147250, batch loss=0.229458, epoch loss=2.150314 Batch=779, step=12780, lr=0.147000, batch loss=0.248240, epoch loss=2.398554 Batch=839, step=12840, lr=0.146750, batch loss=0.221498, epoch loss=2.620051 Batch=899, step=12900, lr=0.146500, batch loss=0.189053, epoch loss=2.809104 Batch=959, step=12960, lr=0.146000, batch loss=0.165144, epoch loss=2.974248 Batch=1019, step=13020, lr=0.145750, batch loss=0.256370, epoch loss=3.230617 Batch=1079, step=13080, lr=0.145500, batch loss=0.119894, epoch loss=3.350511 Batch=1139, step=13140, lr=0.145250, batch loss=0.158146, epoch loss=3.508657 Batch=1199, step=13200, lr=0.145250, batch loss=0.118168, epoch loss=3.626826 Epoch=10, step=13200, lr=0.145250, epoch loss=3.626826 Batch=59, step=13260, lr=0.145000, batch loss=0.142136, epoch loss=0.142136 Batch=119, step=13320, lr=0.144750, batch loss=0.120148, epoch loss=0.262284 Batch=179, step=13380, lr=0.144250, batch loss=0.127623, epoch loss=0.389908 Batch=239, step=13440, lr=0.144250, batch loss=0.187374, epoch loss=0.577282 Batch=299, step=13500, lr=0.143750, batch loss=0.110714, epoch loss=0.687995 Batch=359, step=13560, lr=0.143750, batch loss=0.162228, epoch loss=0.850224 Batch=419, step=13620, lr=0.143500, batch loss=0.159697, epoch loss=1.009921 Batch=479, step=13680, lr=0.143250, batch loss=0.147539, epoch loss=1.157460 Batch=539, step=13740, lr=0.142750, batch loss=0.115707, epoch loss=1.273166 Batch=599, step=13800, lr=0.142500, batch loss=0.120363, epoch loss=1.393530 Batch=659, step=13860, lr=0.142500, batch loss=0.179726, epoch loss=1.573255 Batch=719, step=13920, lr=0.142250, batch loss=0.194564, epoch loss=1.767819 Batch=779, step=13980, lr=0.141750, batch loss=0.223264, epoch loss=1.991083 Batch=839, step=14040, lr=0.141750, batch loss=0.199982, epoch loss=2.191066 Batch=899, step=14100, lr=0.141500, batch loss=0.214303, epoch loss=2.405369 Batch=959, step=14160, lr=0.141250, batch loss=0.104989, epoch loss=2.510358 Batch=1019, step=14220, lr=0.141000, batch loss=0.193685, epoch loss=2.704043 Batch=1079, step=14280, lr=0.140750, batch loss=0.079633, epoch loss=2.783676 Batch=1139, step=14340, lr=0.140500, batch loss=0.127066, epoch loss=2.910742 Batch=1199, step=14400, lr=0.140250, batch loss=0.086858, epoch loss=2.997600 Epoch=11, step=14400, lr=0.140250, epoch loss=2.997600 Batch=59, step=14460, lr=0.139750, batch loss=0.103302, epoch loss=0.103302 Batch=119, step=14520, lr=0.139750, batch loss=0.099136, epoch loss=0.202438 Batch=179, step=14580, lr=0.139500, batch loss=0.100546, epoch loss=0.302984 Batch=239, step=14640, lr=0.139250, batch loss=0.141204, epoch loss=0.444188 Batch=299, step=14700, lr=0.139000, batch loss=0.076447, epoch loss=0.520636 Batch=359, step=14760, lr=0.138750, batch loss=0.119223, epoch loss=0.639858 Batch=419, step=14820, lr=0.138250, batch loss=0.130560, epoch loss=0.770419 Batch=479, step=14880, lr=0.138250, batch loss=0.100048, epoch loss=0.870466 Batch=539, step=14940, lr=0.138000, batch loss=0.109937, epoch loss=0.980403 Batch=599, step=15000, lr=0.137750, batch loss=0.083791, epoch loss=1.064194 Batch=659, step=15060, lr=0.137250, batch loss=0.128165, epoch loss=1.192359 Batch=719, step=15120, lr=0.137000, batch loss=0.120348, epoch loss=1.312707 Batch=779, step=15180, lr=0.137000, batch loss=0.130448, epoch loss=1.443155 Batch=839, step=15240, lr=0.136750, batch loss=0.179145, epoch loss=1.622300 Batch=899, step=15300, lr=0.136250, batch loss=0.307522, epoch loss=1.929822 Batch=959, step=15360, lr=0.136250, batch loss=0.055539, epoch loss=1.985362 Batch=1019, step=15420, lr=0.135750, batch loss=0.142309, epoch loss=2.127670 Batch=1079, step=15480, lr=0.135750, batch loss=0.045964, epoch loss=2.173634 Batch=1139, step=15540, lr=0.135500, batch loss=0.104834, epoch loss=2.278468 Batch=1199, step=15600, lr=0.135250, batch loss=0.061816, epoch loss=2.340285 Epoch=12, step=15600, lr=0.135250, epoch loss=2.340285 Batch=59, step=15660, lr=0.135000, batch loss=0.079266, epoch loss=0.079266 Batch=119, step=15720, lr=0.134750, batch loss=0.104972, epoch loss=0.184238 Batch=179, step=15780, lr=0.134500, batch loss=0.088614, epoch loss=0.272851 Batch=239, step=15840, lr=0.134250, batch loss=0.092199, epoch loss=0.365050 Batch=299, step=15900, lr=0.134000, batch loss=0.040170, epoch loss=0.405220 Batch=359, step=15960, lr=0.133750, batch loss=0.080398, epoch loss=0.485618 Batch=419, step=16020, lr=0.133500, batch loss=0.078356, epoch loss=0.563974 Batch=479, step=16080, lr=0.133250, batch loss=0.059445, epoch loss=0.623420 Batch=539, step=16140, lr=0.133000, batch loss=0.061380, epoch loss=0.684799 Batch=599, step=16200, lr=0.132750, batch loss=0.134870, epoch loss=0.819669 Batch=659, step=16260, lr=0.132500, batch loss=0.084802, epoch loss=0.904472 Batch=719, step=16320, lr=0.132250, batch loss=0.126723, epoch loss=1.031195 Batch=779, step=16380, lr=0.132000, batch loss=0.296302, epoch loss=1.327497 Batch=839, step=16440, lr=0.131750, batch loss=0.091341, epoch loss=1.418838 Batch=899, step=16500, lr=0.131500, batch loss=0.075403, epoch loss=1.494241 Batch=959, step=16560, lr=0.131250, batch loss=0.032207, epoch loss=1.526447 Batch=1019, step=16620, lr=0.131000, batch loss=0.067399, epoch loss=1.593847 Batch=1079, step=16680, lr=0.130750, batch loss=0.047917, epoch loss=1.641763 Batch=1139, step=16740, lr=0.130500, batch loss=0.078207, epoch loss=1.719971 Batch=1199, step=16800, lr=0.130250, batch loss=0.036453, epoch loss=1.756424 Epoch=13, step=16800, lr=0.130250, epoch loss=1.756424 Batch=59, step=16860, lr=0.130000, batch loss=0.033442, epoch loss=0.033442 Batch=119, step=16920, lr=0.129750, batch loss=0.036685, epoch loss=0.070127 Batch=179, step=16980, lr=0.129500, batch loss=0.042582, epoch loss=0.112709 Batch=239, step=17040, lr=0.129250, batch loss=0.060689, epoch loss=0.173398 Batch=299, step=17100, lr=0.129000, batch loss=0.032485, epoch loss=0.205883 Batch=359, step=17160, lr=0.128750, batch loss=0.052631, epoch loss=0.258514 Batch=419, step=17220, lr=0.128500, batch loss=0.095577, epoch loss=0.354092 Batch=479, step=17280, lr=0.128250, batch loss=0.023863, epoch loss=0.377954 Batch=539, step=17340, lr=0.128000, batch loss=0.026924, epoch loss=0.404878 Batch=599, step=17400, lr=0.127750, batch loss=0.039470, epoch loss=0.444348 Batch=659, step=17460, lr=0.127500, batch loss=0.054405, epoch loss=0.498753 Batch=719, step=17520, lr=0.127250, batch loss=0.063703, epoch loss=0.562456 Batch=779, step=17580, lr=0.127000, batch loss=0.065438, epoch loss=0.627893 Batch=839, step=17640, lr=0.126750, batch loss=0.098118, epoch loss=0.726012 Batch=899, step=17700, lr=0.126500, batch loss=0.049212, epoch loss=0.775223 Batch=959, step=17760, lr=0.126250, batch loss=0.019943, epoch loss=0.795166 Batch=1019, step=17820, lr=0.126000, batch loss=0.050264, epoch loss=0.845430 Batch=1079, step=17880, lr=0.125750, batch loss=0.049620, epoch loss=0.895050 Batch=1139, step=17940, lr=0.125500, batch loss=0.098189, epoch loss=0.993240 Batch=1199, step=18000, lr=0.125250, batch loss=0.025899, epoch loss=1.019139 Epoch=14, step=18000, lr=0.125250, epoch loss=1.019139 Batch=59, step=18060, lr=0.125000, batch loss=0.019327, epoch loss=0.019327 Batch=119, step=18120, lr=0.124750, batch loss=0.022348, epoch loss=0.041675 Batch=179, step=18180, lr=0.124500, batch loss=0.048293, epoch loss=0.089967 Batch=239, step=18240, lr=0.124250, batch loss=0.039141, epoch loss=0.129108 Batch=299, step=18300, lr=0.124000, batch loss=0.009103, epoch loss=0.138212 Batch=359, step=18360, lr=0.123750, batch loss=0.027539, epoch loss=0.165751 Batch=419, step=18420, lr=0.123500, batch loss=0.030207, epoch loss=0.195958 Batch=479, step=18480, lr=0.123250, batch loss=0.020043, epoch loss=0.216001 Batch=539, step=18540, lr=0.123000, batch loss=0.034089, epoch loss=0.250090 Batch=599, step=18600, lr=0.122750, batch loss=0.025476, epoch loss=0.275566 Batch=659, step=18660, lr=0.122500, batch loss=0.031066, epoch loss=0.306632 Batch=719, step=18720, lr=0.122250, batch loss=0.029777, epoch loss=0.336410 Batch=779, step=18780, lr=0.122000, batch loss=0.078162, epoch loss=0.414571 Batch=839, step=18840, lr=0.121750, batch loss=0.048884, epoch loss=0.463455 Batch=899, step=18900, lr=0.121500, batch loss=0.049457, epoch loss=0.512912 Batch=959, step=18960, lr=0.121250, batch loss=0.013068, epoch loss=0.525980 Batch=1019, step=19020, lr=0.121000, batch loss=0.018671, epoch loss=0.544651 Batch=1079, step=19080, lr=0.120750, batch loss=0.016330, epoch loss=0.560980 Batch=1139, step=19140, lr=0.120500, batch loss=0.029451, epoch loss=0.590431 Batch=1199, step=19200, lr=0.120250, batch loss=0.011877, epoch loss=0.602308 Epoch=15, step=19200, lr=0.120250, epoch loss=0.602308 Batch=59, step=19260, lr=0.120000, batch loss=0.011999, epoch loss=0.011999 Batch=119, step=19320, lr=0.119750, batch loss=0.022893, epoch loss=0.034893 Batch=179, step=19380, lr=0.119500, batch loss=0.049503, epoch loss=0.084396 Batch=239, step=19440, lr=0.119250, batch loss=0.021299, epoch loss=0.105695 Batch=299, step=19500, lr=0.119000, batch loss=0.013616, epoch loss=0.119310 Batch=359, step=19560, lr=0.118750, batch loss=0.027257, epoch loss=0.146567 Batch=419, step=19620, lr=0.118500, batch loss=0.019678, epoch loss=0.166245 Batch=479, step=19680, lr=0.118250, batch loss=0.006230, epoch loss=0.172476 Batch=539, step=19740, lr=0.118000, batch loss=0.027138, epoch loss=0.199614 Batch=599, step=19800, lr=0.117750, batch loss=0.027562, epoch loss=0.227176 Batch=659, step=19860, lr=0.117250, batch loss=0.016628, epoch loss=0.243804 Batch=719, step=19920, lr=0.117250, batch loss=0.032047, epoch loss=0.275851 Batch=779, step=19980, lr=0.117000, batch loss=0.065970, epoch loss=0.341821 Batch=839, step=20040, lr=0.116750, batch loss=0.030696, epoch loss=0.372517 Batch=899, step=20100, lr=0.116500, batch loss=0.028489, epoch loss=0.401006 Batch=959, step=20160, lr=0.116250, batch loss=0.012991, epoch loss=0.413996 Batch=1019, step=20220, lr=0.115750, batch loss=0.015764, epoch loss=0.429760 Batch=1079, step=20280, lr=0.115750, batch loss=0.001872, epoch loss=0.431632 Batch=1139, step=20340, lr=0.115500, batch loss=0.014406, epoch loss=0.446038 Batch=1199, step=20400, lr=0.115250, batch loss=0.005932, epoch loss=0.451970 Epoch=16, step=20400, lr=0.115250, epoch loss=0.451970 Batch=59, step=20460, lr=0.115000, batch loss=0.002861, epoch loss=0.002861 Batch=119, step=20520, lr=0.114750, batch loss=0.009650, epoch loss=0.012512 Batch=179, step=20580, lr=0.114500, batch loss=0.022293, epoch loss=0.034805 Batch=239, step=20640, lr=0.114250, batch loss=0.016747, epoch loss=0.051552 Batch=299, step=20700, lr=0.114000, batch loss=0.006172, epoch loss=0.057723 Batch=359, step=20760, lr=0.113750, batch loss=0.012836, epoch loss=0.070559 Batch=419, step=20820, lr=0.113500, batch loss=0.015885, epoch loss=0.086445 Batch=479, step=20880, lr=0.113250, batch loss=0.005856, epoch loss=0.092300 Batch=539, step=20940, lr=0.113000, batch loss=0.015198, epoch loss=0.107498 Batch=599, step=21000, lr=0.112750, batch loss=0.018581, epoch loss=0.126079 Batch=659, step=21060, lr=0.112500, batch loss=0.014329, epoch loss=0.140408 Batch=719, step=21120, lr=0.112250, batch loss=0.042731, epoch loss=0.183139 Batch=779, step=21180, lr=0.112000, batch loss=0.070802, epoch loss=0.253941 Batch=839, step=21240, lr=0.111750, batch loss=0.025173, epoch loss=0.279115 Batch=899, step=21300, lr=0.111500, batch loss=0.026340, epoch loss=0.305454 Batch=959, step=21360, lr=0.111250, batch loss=0.010331, epoch loss=0.315785 Batch=1019, step=21420, lr=0.111000, batch loss=0.010361, epoch loss=0.326146 Batch=1079, step=21480, lr=0.110750, batch loss=0.002065, epoch loss=0.328211 Batch=1139, step=21540, lr=0.110500, batch loss=0.012621, epoch loss=0.340833 Batch=1199, step=21600, lr=0.110250, batch loss=0.005192, epoch loss=0.346025 Epoch=17, step=21600, lr=0.110250, epoch loss=0.346025 Batch=59, step=21660, lr=0.110000, batch loss=0.002537, epoch loss=0.002537 Batch=119, step=21720, lr=0.109750, batch loss=0.006639, epoch loss=0.009176 Batch=179, step=21780, lr=0.109250, batch loss=0.012382, epoch loss=0.021558 Batch=239, step=21840, lr=0.109250, batch loss=0.009184, epoch loss=0.030743 Batch=299, step=21900, lr=0.109000, batch loss=0.002664, epoch loss=0.033407 Batch=359, step=21960, lr=0.108750, batch loss=0.015615, epoch loss=0.049022 Batch=419, step=22020, lr=0.108500, batch loss=0.012269, epoch loss=0.061291 Batch=479, step=22080, lr=0.108250, batch loss=0.002788, epoch loss=0.064079 Batch=539, step=22140, lr=0.108000, batch loss=0.017178, epoch loss=0.081257 Batch=599, step=22200, lr=0.107750, batch loss=0.015642, epoch loss=0.096900 Batch=659, step=22260, lr=0.107500, batch loss=0.013965, epoch loss=0.110864 Batch=719, step=22320, lr=0.107250, batch loss=0.028817, epoch loss=0.139681 Batch=779, step=22380, lr=0.107000, batch loss=0.041520, epoch loss=0.181201 Batch=839, step=22440, lr=0.106500, batch loss=0.021290, epoch loss=0.202491 Batch=899, step=22500, lr=0.106250, batch loss=0.021745, epoch loss=0.224235 Batch=959, step=22560, lr=0.106250, batch loss=0.010317, epoch loss=0.234552 Batch=1019, step=22620, lr=0.106000, batch loss=0.009602, epoch loss=0.244154 Batch=1079, step=22680, lr=0.105750, batch loss=0.000798, epoch loss=0.244951 Batch=1139, step=22740, lr=0.105500, batch loss=0.011191, epoch loss=0.256142 Batch=1199, step=22800, lr=0.105250, batch loss=0.004491, epoch loss=0.260633 Epoch=18, step=22800, lr=0.105250, epoch loss=0.260633 Batch=59, step=22860, lr=0.105000, batch loss=0.001489, epoch loss=0.001489 Batch=119, step=22920, lr=0.104500, batch loss=0.005277, epoch loss=0.006766 Batch=179, step=22980, lr=0.104250, batch loss=0.010389, epoch loss=0.017155 Batch=239, step=23040, lr=0.104250, batch loss=0.009658, epoch loss=0.026813 Batch=299, step=23100, lr=0.104000, batch loss=0.010694, epoch loss=0.037507 Batch=359, step=23160, lr=0.103750, batch loss=0.011592, epoch loss=0.049099 Batch=419, step=23220, lr=0.103500, batch loss=0.010584, epoch loss=0.059683 Batch=479, step=23280, lr=0.103000, batch loss=0.002546, epoch loss=0.062229 Batch=539, step=23340, lr=0.103000, batch loss=0.016948, epoch loss=0.079177 Batch=599, step=23400, lr=0.102750, batch loss=0.013516, epoch loss=0.092693 Batch=659, step=23460, lr=0.102500, batch loss=0.011343, epoch loss=0.104036 Batch=719, step=23520, lr=0.102250, batch loss=0.012030, epoch loss=0.116066 Batch=779, step=23580, lr=0.102000, batch loss=0.021818, epoch loss=0.137884 Batch=839, step=23640, lr=0.101750, batch loss=0.024954, epoch loss=0.162837 Batch=899, step=23700, lr=0.101500, batch loss=0.023446, epoch loss=0.186283 Batch=959, step=23760, lr=0.101250, batch loss=0.008391, epoch loss=0.194674 Batch=1019, step=23820, lr=0.101000, batch loss=0.007980, epoch loss=0.202654 Batch=1079, step=23880, lr=0.100750, batch loss=0.000855, epoch loss=0.203509 Batch=1139, step=23940, lr=0.100500, batch loss=0.009437, epoch loss=0.212947 Batch=1199, step=24000, lr=0.100250, batch loss=0.004760, epoch loss=0.217707 Epoch=19, step=24000, lr=0.100250, epoch loss=0.217707 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#******************************.........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................**................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 21:23.34 ---> saved as "bee93631921da95dccbcb72e5ef4e997b55ce4576722a8ca75ecb2d7d5e91c36" Job succeeded 2025-03-20 21:23.35: Job succeeded