2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (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 451f36ee 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 22:51.40: 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 22:51.40: 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 22:51.40: Waiting for resource in pool OCluster 2025-03-20 22:51.40: Waiting for worker… 2025-03-20 22:52.06: Got resource from pool OCluster Building on clete.caelum.ci.dev All commits already cached HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings (from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195) 2025-03-20 22:52.07 ---> using "d6a86a5fa580a511bc47b9f81c505c664d6b1fdcbe9f7d39069ac2ba53948f98" from cache /: (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 22:52.07 ---> using "e4c559ecd8860c61f49fce7cdb885f97ef6263360730db125d45927dd3160847" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 31 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=31 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 22:52.07 ---> using "9ff49ff109128f81f17ecaa56bc121fa8be57aeb2ced8b0a9487d633ee898d4a" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-20 22:52.07 ---> using "738c3c1c23d535dbab62f668ede1ce97e62d7c350f7cb276ff4a9c0a6d842a7f" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:52.07 ---> using "e976b87820c4a8df89b999905db18252fae5f37ebe74ccfae6ed3810af338a29" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:52.07 ---> using "708bfcd7071a8861aabd83f4c9f4de21aade0f3b6fd3203c8d7c8c273ca1214e" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:52.07 ---> using "f99b047404a4408af9056212933694e107a792c8ffdc61ba9ca8f890d212f0a0" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 22:52.07 ---> using "f04e5dd02b75249ed073437cd46e67a04a373945608b77330c33cc911fc11f65" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:52.07 ---> using "00ce7e0a6df838a27038e0d91027f78f1631824545ac48d7ca781f1ae3b49425" from cache /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/restricted amd64 Packages [4441 kB] - Get:4 http://archive.ubuntu.com/ubuntu focal-updates InRelease [128 kB] - Get:5 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [4269 kB] - Get:6 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [1301 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/universe amd64 Packages [1595 kB] - Get:10 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [4638 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/main amd64 Packages [4756 kB] - Fetched 21.5 MB in 2s (11.6 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 22:32:56 GMT 2025. - Universal Time is now: Thu Mar 20 22:32:56 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 22:52.07 ---> using "946a11d2b8372891e013055a4d2a5ec42c2a479a9d4290d2f0cddba235566559" from cache /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_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 ppxlib.0.35.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (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 ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> 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-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed sexplib0.v0.17.0 -> installed cppo.1.8.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:52.07 ---> using "a7a42f5177ec5c6d9422495f1c4577bf9567c9da05426038f0c1d9b36af2e4d5" from cache /src: (copy (src .) (dst /src)) 2025-03-20 22:52.07 ---> saved as "d6b7e0ede2a8523afbfce9ce5833f992874aeff25cfaa774443192f394f2e2bb" /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/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/e318799d4d91fe7fc2c9096d3dcbc2b7/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/af64d4d776ee2a605725e332c2884de8/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/af64d4d776ee2a605725e332c2884de8/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=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.198750, batch loss=1.446818, epoch loss=37.063303 Batch=359, step=360, lr=0.198500, batch loss=1.335177, epoch loss=38.398480 Batch=419, step=420, lr=0.198250, batch loss=0.615040, epoch loss=39.013520 Batch=479, step=480, lr=0.198250, batch loss=0.793455, epoch loss=39.806975 Batch=539, step=540, lr=0.197750, batch loss=0.655134, epoch loss=40.462109 Batch=599, step=600, lr=0.197500, batch loss=1.081196, epoch loss=41.543305 Batch=659, step=660, lr=0.197250, batch loss=0.483166, epoch loss=42.026471 Batch=719, step=720, lr=0.197250, batch loss=0.412367, epoch loss=42.438838 Batch=779, step=780, lr=0.196750, batch loss=0.470824, epoch loss=42.909662 Batch=839, step=840, lr=0.196500, batch loss=0.445236, epoch loss=43.354897 Batch=899, step=900, lr=0.196250, batch loss=0.386137, epoch loss=43.741034 Batch=959, step=960, lr=0.196000, batch loss=0.243752, epoch loss=43.984787 Batch=1019, step=1020, lr=0.195750, batch loss=0.446423, epoch loss=44.431210 Batch=1079, step=1080, lr=0.195500, batch loss=0.250347, epoch loss=44.681557 Batch=1139, step=1140, lr=0.195250, batch loss=0.333887, epoch loss=45.015444 Batch=1199, step=1200, lr=0.195000, batch loss=0.264338, epoch loss=45.279782 Epoch=0, step=1200, lr=0.195000, epoch loss=45.279782 Batch=59, step=1260, lr=0.194750, batch loss=0.263432, epoch loss=0.263432 Batch=119, step=1320, lr=0.194500, batch loss=0.205384, epoch loss=0.468816 Batch=179, step=1380, lr=0.194250, batch loss=0.244448, epoch loss=0.713264 Batch=239, step=1440, lr=0.194000, batch loss=0.348074, epoch loss=1.061338 Batch=299, step=1500, lr=0.194000, batch loss=0.240146, epoch loss=1.301483 Batch=359, step=1560, lr=0.193750, batch loss=0.312765, epoch loss=1.614248 Batch=419, step=1620, lr=0.193250, batch loss=0.312468, epoch loss=1.926717 Batch=479, step=1680, lr=0.193000, batch loss=0.279427, epoch loss=2.206144 Batch=539, step=1740, lr=0.192750, batch loss=0.214842, epoch loss=2.420986 Batch=599, step=1800, lr=0.192500, batch loss=0.260182, epoch loss=2.681167 Batch=659, step=1860, lr=0.192250, batch loss=0.380306, epoch loss=3.061473 Batch=719, step=1920, lr=0.192250, batch loss=0.357543, epoch loss=3.419016 Batch=779, step=1980, lr=0.191750, batch loss=0.385349, epoch loss=3.804365 Batch=839, step=2040, lr=0.191500, batch loss=0.341954, epoch loss=4.146319 Batch=899, step=2100, lr=0.191250, batch loss=0.295869, epoch loss=4.442189 Batch=959, step=2160, lr=0.191000, batch loss=0.214922, epoch loss=4.657110 Batch=1019, step=2220, lr=0.190750, batch loss=0.333774, epoch loss=4.990885 Batch=1079, step=2280, lr=0.190500, batch loss=0.192550, epoch loss=5.183435 Batch=1139, step=2340, lr=0.190250, batch loss=0.257513, epoch loss=5.440948 Batch=1199, step=2400, lr=0.190250, batch loss=0.211276, epoch loss=5.652224 Epoch=1, step=2400, lr=0.190250, epoch loss=5.652224 Batch=59, step=2460, lr=0.189750, batch loss=0.229421, epoch loss=0.229421 Batch=119, step=2520, lr=0.189500, batch loss=0.199818, epoch loss=0.429239 Batch=179, step=2580, lr=0.189250, batch loss=0.219960, epoch loss=0.649199 Batch=239, step=2640, lr=0.189000, batch loss=0.329049, epoch loss=0.978248 Batch=299, step=2700, lr=0.188750, batch loss=0.213803, epoch loss=1.192051 Batch=359, step=2760, lr=0.188750, batch loss=0.297075, epoch loss=1.489125 Batch=419, step=2820, lr=0.188250, batch loss=0.287188, epoch loss=1.776313 Batch=479, step=2880, lr=0.188000, batch loss=0.261232, epoch loss=2.037545 Batch=539, step=2940, lr=0.188000, batch loss=0.197296, epoch loss=2.234841 Batch=599, step=3000, lr=0.187500, batch loss=0.240490, epoch loss=2.475331 Batch=659, step=3060, lr=0.187250, batch loss=0.348815, epoch loss=2.824146 Batch=719, step=3120, lr=0.187000, batch loss=0.348083, epoch loss=3.172229 Batch=779, step=3180, lr=0.186750, batch loss=0.367649, epoch loss=3.539878 Batch=839, step=3240, lr=0.186500, batch loss=0.323945, epoch loss=3.863823 Batch=899, step=3300, lr=0.186250, batch loss=0.287928, epoch loss=4.151751 Batch=959, step=3360, lr=0.186000, batch loss=0.213089, epoch loss=4.364840 Batch=1019, step=3420, lr=0.186000, batch loss=0.308896, epoch loss=4.673736 Batch=1079, step=3480, lr=0.185500, batch loss=0.189463, epoch loss=4.863198 Batch=1139, step=3540, lr=0.185500, batch loss=0.230259, epoch loss=5.093458 Batch=1199, step=3600, lr=0.185000, batch loss=0.199784, epoch loss=5.293242 Epoch=2, step=3600, lr=0.185000, epoch loss=5.293242 Batch=59, step=3660, lr=0.184750, batch loss=0.236784, epoch loss=0.236784 Batch=119, step=3720, lr=0.184750, batch loss=0.195934, epoch loss=0.432717 Batch=179, step=3780, lr=0.184250, batch loss=0.211482, epoch loss=0.644199 Batch=239, step=3840, lr=0.184250, batch loss=0.318286, epoch loss=0.962485 Batch=299, step=3900, lr=0.183750, batch loss=0.209627, epoch loss=1.172112 Batch=359, step=3960, lr=0.183500, batch loss=0.286545, epoch loss=1.458657 Batch=419, step=4020, lr=0.183250, batch loss=0.293443, epoch loss=1.752100 Batch=479, step=4080, lr=0.183250, batch loss=0.267010, epoch loss=2.019110 Batch=539, step=4140, lr=0.183000, batch loss=0.199507, epoch loss=2.218617 Batch=599, step=4200, lr=0.182500, batch loss=0.249907, epoch loss=2.468524 Batch=659, step=4260, lr=0.182250, batch loss=0.327074, epoch loss=2.795598 Batch=719, step=4320, lr=0.182000, batch loss=0.328254, epoch loss=3.123852 Batch=779, step=4380, lr=0.181750, batch loss=0.352013, epoch loss=3.475864 Batch=839, step=4440, lr=0.181500, batch loss=0.318773, epoch loss=3.794637 Batch=899, step=4500, lr=0.181250, batch loss=0.294523, epoch loss=4.089160 Batch=959, step=4560, lr=0.181250, batch loss=0.256491, epoch loss=4.345651 Batch=1019, step=4620, lr=0.181000, batch loss=0.370515, epoch loss=4.716166 Batch=1079, step=4680, lr=0.180750, batch loss=0.218696, epoch loss=4.934862 Batch=1139, step=4740, lr=0.180500, batch loss=0.252558, epoch loss=5.187420 Batch=1199, step=4800, lr=0.180000, batch loss=0.192031, epoch loss=5.379452 Epoch=3, step=4800, lr=0.180000, epoch loss=5.379452 Batch=59, step=4860, lr=0.180000, batch loss=0.229912, epoch loss=0.229912 Batch=119, step=4920, lr=0.179500, batch loss=0.189173, epoch loss=0.419085 Batch=179, step=4980, lr=0.179500, batch loss=0.206928, epoch loss=0.626013 Batch=239, step=5040, lr=0.179250, batch loss=0.310737, epoch loss=0.936750 Batch=299, step=5100, lr=0.178750, batch loss=0.212626, epoch loss=1.149376 Batch=359, step=5160, lr=0.178500, batch loss=0.282647, epoch loss=1.432023 Batch=419, step=5220, lr=0.178250, batch loss=0.276915, epoch loss=1.708938 Batch=479, step=5280, lr=0.178000, batch loss=0.245970, epoch loss=1.954908 Batch=539, step=5340, lr=0.178000, batch loss=0.188897, epoch loss=2.143805 Batch=599, step=5400, lr=0.177750, batch loss=0.232074, epoch loss=2.375880 Batch=659, step=5460, lr=0.177500, batch loss=0.324462, epoch loss=2.700342 Batch=719, step=5520, lr=0.177250, batch loss=0.322603, epoch loss=3.022945 Batch=779, step=5580, lr=0.177000, batch loss=0.343222, epoch loss=3.366167 Batch=839, step=5640, lr=0.176750, batch loss=0.311937, epoch loss=3.678105 Batch=899, step=5700, lr=0.176250, batch loss=0.271220, epoch loss=3.949325 Batch=959, step=5760, lr=0.176000, batch loss=0.221145, epoch loss=4.170470 Batch=1019, step=5820, lr=0.176000, batch loss=0.335633, epoch loss=4.506103 Batch=1079, step=5880, lr=0.175500, batch loss=0.190821, epoch loss=4.696924 Batch=1139, step=5940, lr=0.175250, batch loss=0.224840, epoch loss=4.921764 Batch=1199, step=6000, lr=0.175250, batch loss=0.189401, epoch loss=5.111165 Epoch=4, step=6000, lr=0.175250, epoch loss=5.111165 Batch=59, step=6060, lr=0.175000, batch loss=0.238376, epoch loss=0.238376 Batch=119, step=6120, lr=0.174750, batch loss=0.189634, epoch loss=0.428010 Batch=179, step=6180, lr=0.174500, batch loss=0.202120, epoch loss=0.630130 Batch=239, step=6240, lr=0.174000, batch loss=0.301741, epoch loss=0.931871 Batch=299, step=6300, lr=0.173750, batch loss=0.206421, epoch loss=1.138292 Batch=359, step=6360, lr=0.173750, batch loss=0.267780, epoch loss=1.406071 Batch=419, step=6420, lr=0.173500, batch loss=0.265594, epoch loss=1.671665 Batch=479, step=6480, lr=0.173000, batch loss=0.244606, epoch loss=1.916271 Batch=539, step=6540, lr=0.173000, batch loss=0.192211, epoch loss=2.108482 Batch=599, step=6600, lr=0.172500, batch loss=0.230468, epoch loss=2.338950 Batch=659, step=6660, lr=0.172500, batch loss=0.316492, epoch loss=2.655442 Batch=719, step=6720, lr=0.172250, batch loss=0.316518, epoch loss=2.971960 Batch=779, step=6780, lr=0.172000, batch loss=0.331990, epoch loss=3.303950 Batch=839, step=6840, lr=0.171750, batch loss=0.305909, epoch loss=3.609859 Batch=899, step=6900, lr=0.171500, batch loss=0.267286, epoch loss=3.877145 Batch=959, step=6960, lr=0.171000, batch loss=0.214697, epoch loss=4.091842 Batch=1019, step=7020, lr=0.171000, batch loss=0.324801, epoch loss=4.416643 Batch=1079, step=7080, lr=0.170500, batch loss=0.176952, epoch loss=4.593595 Batch=1139, step=7140, lr=0.170500, batch loss=0.214193, epoch loss=4.807787 Batch=1199, step=7200, lr=0.170250, batch loss=0.183643, epoch loss=4.991430 Epoch=5, step=7200, lr=0.170250, epoch loss=4.991430 Batch=59, step=7260, lr=0.170000, batch loss=0.240709, epoch loss=0.240709 Batch=119, step=7320, lr=0.169750, batch loss=0.180570, epoch loss=0.421278 Batch=179, step=7380, lr=0.169500, batch loss=0.195711, epoch loss=0.616989 Batch=239, step=7440, lr=0.169250, batch loss=0.292741, epoch loss=0.909730 Batch=299, step=7500, lr=0.169000, batch loss=0.204564, epoch loss=1.114294 Batch=359, step=7560, lr=0.168750, batch loss=0.265006, epoch loss=1.379299 Batch=419, step=7620, lr=0.168500, batch loss=0.260152, epoch loss=1.639452 Batch=479, step=7680, lr=0.168250, batch loss=0.235585, epoch loss=1.875037 Batch=539, step=7740, lr=0.168000, batch loss=0.191992, epoch loss=2.067030 Batch=599, step=7800, lr=0.167750, batch loss=0.229753, epoch loss=2.296783 Batch=659, step=7860, lr=0.167500, batch loss=0.305819, epoch loss=2.602602 Batch=719, step=7920, lr=0.167250, batch loss=0.310144, epoch loss=2.912747 Batch=779, step=7980, lr=0.167000, batch loss=0.330242, epoch loss=3.242988 Batch=839, step=8040, lr=0.166750, batch loss=0.292407, epoch loss=3.535395 Batch=899, step=8100, lr=0.166500, batch loss=0.264690, epoch loss=3.800085 Batch=959, step=8160, lr=0.166250, batch loss=0.197731, epoch loss=3.997816 Batch=1019, step=8220, lr=0.166000, batch loss=0.322590, epoch loss=4.320406 Batch=1079, step=8280, lr=0.165500, batch loss=0.179642, epoch loss=4.500048 Batch=1139, step=8340, lr=0.165500, batch loss=0.208984, epoch loss=4.709032 Batch=1199, step=8400, lr=0.165000, batch loss=0.181338, epoch loss=4.890370 Epoch=6, step=8400, lr=0.165000, epoch loss=4.890370 Batch=59, step=8460, lr=0.164750, batch loss=0.225729, epoch loss=0.225729 Batch=119, step=8520, lr=0.164500, batch loss=0.178494, epoch loss=0.404223 Batch=179, step=8580, lr=0.164250, batch loss=0.188948, epoch loss=0.593171 Batch=239, step=8640, lr=0.164250, batch loss=0.279336, epoch loss=0.872507 Batch=299, step=8700, lr=0.164000, batch loss=0.193093, epoch loss=1.065599 Batch=359, step=8760, lr=0.163500, batch loss=0.249874, epoch loss=1.315473 Batch=419, step=8820, lr=0.163500, batch loss=0.246669, epoch loss=1.562142 Batch=479, step=8880, lr=0.163250, batch loss=0.230436, epoch loss=1.792578 Batch=539, step=8940, lr=0.163000, batch loss=0.178762, epoch loss=1.971341 Batch=599, step=9000, lr=0.162500, batch loss=0.219381, epoch loss=2.190721 Batch=659, step=9060, lr=0.162250, batch loss=0.296062, epoch loss=2.486784 Batch=719, step=9120, lr=0.162000, batch loss=0.298979, epoch loss=2.785763 Batch=779, step=9180, lr=0.162000, batch loss=0.318065, epoch loss=3.103828 Batch=839, step=9240, lr=0.161500, batch loss=0.282870, epoch loss=3.386698 Batch=899, step=9300, lr=0.161250, batch loss=0.252776, epoch loss=3.639475 Batch=959, step=9360, lr=0.161250, batch loss=0.189625, epoch loss=3.829100 Batch=1019, step=9420, lr=0.161000, batch loss=0.319348, epoch loss=4.148448 Batch=1079, step=9480, lr=0.160750, batch loss=0.199006, epoch loss=4.347454 Batch=1139, step=9540, lr=0.160500, batch loss=0.213580, epoch loss=4.561034 Batch=1199, step=9600, lr=0.160250, batch loss=0.169107, epoch loss=4.730141 Epoch=7, step=9600, lr=0.160250, epoch loss=4.730141 Batch=59, step=9660, lr=0.160000, batch loss=0.213073, epoch loss=0.213073 Batch=119, step=9720, lr=0.159750, batch loss=0.171298, epoch loss=0.384371 Batch=179, step=9780, lr=0.159500, batch loss=0.180676, epoch loss=0.565047 Batch=239, step=9840, lr=0.159250, batch loss=0.263386, epoch loss=0.828433 Batch=299, step=9900, lr=0.159000, batch loss=0.184610, epoch loss=1.013042 Batch=359, step=9960, lr=0.158750, batch loss=0.241442, epoch loss=1.254484 Batch=419, step=10020, lr=0.158250, batch loss=0.235027, epoch loss=1.489512 Batch=479, step=10080, lr=0.158250, batch loss=0.215246, epoch loss=1.704758 Batch=539, step=10140, lr=0.158000, batch loss=0.171829, epoch loss=1.876587 Batch=599, step=10200, lr=0.157750, batch loss=0.202741, epoch loss=2.079327 Batch=659, step=10260, lr=0.157500, batch loss=0.284736, epoch loss=2.364063 Batch=719, step=10320, lr=0.157250, batch loss=0.281253, epoch loss=2.645316 Batch=779, step=10380, lr=0.157000, batch loss=0.302740, epoch loss=2.948057 Batch=839, step=10440, lr=0.156750, batch loss=0.273274, epoch loss=3.221331 Batch=899, step=10500, lr=0.156250, batch loss=0.241875, epoch loss=3.463206 Batch=959, step=10560, lr=0.156250, batch loss=0.198693, epoch loss=3.661898 Batch=1019, step=10620, lr=0.156000, batch loss=0.283977, epoch loss=3.945876 Batch=1079, step=10680, lr=0.155500, batch loss=0.169148, epoch loss=4.115024 Batch=1139, step=10740, lr=0.155500, batch loss=0.199411, epoch loss=4.314435 Batch=1199, step=10800, lr=0.155250, batch loss=0.156387, epoch loss=4.470822 Epoch=8, step=10800, lr=0.155250, epoch loss=4.470822 Batch=59, step=10860, lr=0.155000, batch loss=0.197507, epoch loss=0.197507 Batch=119, step=10920, lr=0.154750, batch loss=0.161879, epoch loss=0.359386 Batch=179, step=10980, lr=0.154250, batch loss=0.169962, epoch loss=0.529347 Batch=239, step=11040, lr=0.154250, batch loss=0.247821, epoch loss=0.777169 Batch=299, step=11100, lr=0.154000, batch loss=0.167874, epoch loss=0.945042 Batch=359, step=11160, lr=0.153750, batch loss=0.225058, epoch loss=1.170101 Batch=419, step=11220, lr=0.153500, batch loss=0.231072, epoch loss=1.401173 Batch=479, step=11280, lr=0.153250, batch loss=0.205074, epoch loss=1.606246 Batch=539, step=11340, lr=0.153000, batch loss=0.160552, epoch loss=1.766798 Batch=599, step=11400, lr=0.152750, batch loss=0.180950, epoch loss=1.947748 Batch=659, step=11460, lr=0.152500, batch loss=0.267825, epoch loss=2.215574 Batch=719, step=11520, lr=0.152250, batch loss=0.261716, epoch loss=2.477290 Batch=779, step=11580, lr=0.152000, batch loss=0.276332, epoch loss=2.753622 Batch=839, step=11640, lr=0.151750, batch loss=0.258787, epoch loss=3.012409 Batch=899, step=11700, lr=0.151500, batch loss=0.215622, epoch loss=3.228031 Batch=959, step=11760, lr=0.151250, batch loss=0.170479, epoch loss=3.398510 Batch=1019, step=11820, lr=0.151000, batch loss=0.267261, epoch loss=3.665770 Batch=1079, step=11880, lr=0.150500, batch loss=0.152390, epoch loss=3.818161 Batch=1139, step=11940, lr=0.150500, batch loss=0.186438, epoch loss=4.004599 Batch=1199, step=12000, lr=0.150250, batch loss=0.141614, epoch loss=4.146213 Epoch=9, step=12000, lr=0.150250, epoch loss=4.146213 Batch=59, step=12060, lr=0.150000, batch loss=0.161083, epoch loss=0.161083 Batch=119, step=12120, lr=0.149750, batch loss=0.130160, epoch loss=0.291244 Batch=179, step=12180, lr=0.149500, batch loss=0.154694, epoch loss=0.445937 Batch=239, step=12240, lr=0.149250, batch loss=0.225482, epoch loss=0.671419 Batch=299, step=12300, lr=0.149000, batch loss=0.145974, epoch loss=0.817393 Batch=359, step=12360, lr=0.148750, batch loss=0.199875, epoch loss=1.017269 Batch=419, step=12420, lr=0.148500, batch loss=0.208941, epoch loss=1.226210 Batch=479, step=12480, lr=0.148250, batch loss=0.182348, epoch loss=1.408558 Batch=539, step=12540, lr=0.148000, batch loss=0.144530, epoch loss=1.553088 Batch=599, step=12600, lr=0.147750, batch loss=0.154075, epoch loss=1.707162 Batch=659, step=12660, lr=0.147500, batch loss=0.227575, epoch loss=1.934738 Batch=719, step=12720, lr=0.147250, batch loss=0.236332, epoch loss=2.171070 Batch=779, step=12780, lr=0.147000, batch loss=0.258638, epoch loss=2.429708 Batch=839, step=12840, lr=0.146500, batch loss=0.226973, epoch loss=2.656681 Batch=899, step=12900, lr=0.146250, batch loss=0.189739, epoch loss=2.846419 Batch=959, step=12960, lr=0.146000, batch loss=0.153851, epoch loss=3.000270 Batch=1019, step=13020, lr=0.145750, batch loss=0.266827, epoch loss=3.267097 Batch=1079, step=13080, lr=0.145500, batch loss=0.116204, epoch loss=3.383301 Batch=1139, step=13140, lr=0.145250, batch loss=0.157476, epoch loss=3.540776 Batch=1199, step=13200, lr=0.145000, batch loss=0.120844, epoch loss=3.661620 Epoch=10, step=13200, lr=0.145000, epoch loss=3.661620 Batch=59, step=13260, lr=0.144750, batch loss=0.140533, epoch loss=0.140533 Batch=119, step=13320, lr=0.144500, batch loss=0.119138, epoch loss=0.259671 Batch=179, step=13380, lr=0.144500, batch loss=0.131146, epoch loss=0.390817 Batch=239, step=13440, lr=0.144250, batch loss=0.197814, epoch loss=0.588631 Batch=299, step=13500, lr=0.144000, batch loss=0.119339, epoch loss=0.707969 Batch=359, step=13560, lr=0.143750, batch loss=0.173067, epoch loss=0.881036 Batch=419, step=13620, lr=0.143250, batch loss=0.193424, epoch loss=1.074460 Batch=479, step=13680, lr=0.143250, batch loss=0.140930, epoch loss=1.215389 Batch=539, step=13740, lr=0.143000, batch loss=0.121086, epoch loss=1.336475 Batch=599, step=13800, lr=0.142500, batch loss=0.123748, epoch loss=1.460223 Batch=659, step=13860, lr=0.142500, batch loss=0.183279, epoch loss=1.643502 Batch=719, step=13920, lr=0.142250, batch loss=0.179828, epoch loss=1.823330 Batch=779, step=13980, lr=0.142000, batch loss=0.206824, epoch loss=2.030154 Batch=839, step=14040, lr=0.141750, batch loss=0.202008, epoch loss=2.232162 Batch=899, step=14100, lr=0.141500, batch loss=0.209663, epoch loss=2.441825 Batch=959, step=14160, lr=0.141250, batch loss=0.118221, epoch loss=2.560046 Batch=1019, step=14220, lr=0.141000, batch loss=0.201023, epoch loss=2.761070 Batch=1079, step=14280, lr=0.140750, batch loss=0.079027, epoch loss=2.840097 Batch=1139, step=14340, lr=0.140500, batch loss=0.119126, epoch loss=2.959223 Batch=1199, step=14400, lr=0.140250, batch loss=0.089383, epoch loss=3.048606 Epoch=11, step=14400, lr=0.140250, epoch loss=3.048606 Batch=59, step=14460, lr=0.140000, batch loss=0.113580, epoch loss=0.113580 Batch=119, step=14520, lr=0.139750, batch loss=0.114790, epoch loss=0.228369 Batch=179, step=14580, lr=0.139500, batch loss=0.106003, epoch loss=0.334373 Batch=239, step=14640, lr=0.139250, batch loss=0.146761, epoch loss=0.481134 Batch=299, step=14700, lr=0.139000, batch loss=0.082898, epoch loss=0.564032 Batch=359, step=14760, lr=0.138750, batch loss=0.122866, epoch loss=0.686897 Batch=419, step=14820, lr=0.138250, batch loss=0.126241, epoch loss=0.813138 Batch=479, step=14880, lr=0.138000, batch loss=0.113773, epoch loss=0.926912 Batch=539, step=14940, lr=0.138000, batch loss=0.117974, epoch loss=1.044886 Batch=599, step=15000, lr=0.137750, batch loss=0.089744, epoch loss=1.134630 Batch=659, step=15060, lr=0.137250, batch loss=0.134403, epoch loss=1.269032 Batch=719, step=15120, lr=0.137000, batch loss=0.125030, epoch loss=1.394062 Batch=779, step=15180, lr=0.137000, batch loss=0.140754, epoch loss=1.534815 Batch=839, step=15240, lr=0.136500, batch loss=0.161744, epoch loss=1.696560 Batch=899, step=15300, lr=0.136500, batch loss=0.223152, epoch loss=1.919712 Batch=959, step=15360, lr=0.136000, batch loss=0.061999, epoch loss=1.981712 Batch=1019, step=15420, lr=0.135750, batch loss=0.150296, epoch loss=2.132008 Batch=1079, step=15480, lr=0.135750, batch loss=0.065671, epoch loss=2.197679 Batch=1139, step=15540, lr=0.135500, batch loss=0.143338, epoch loss=2.341017 Batch=1199, step=15600, lr=0.135250, batch loss=0.063304, epoch loss=2.404321 Epoch=12, step=15600, lr=0.135250, epoch loss=2.404321 Batch=59, step=15660, lr=0.135000, batch loss=0.074500, epoch loss=0.074500 Batch=119, step=15720, lr=0.134750, batch loss=0.085382, epoch loss=0.159883 Batch=179, step=15780, lr=0.134500, batch loss=0.082835, epoch loss=0.242717 Batch=239, step=15840, lr=0.134000, batch loss=0.097234, epoch loss=0.339951 Batch=299, step=15900, lr=0.134000, batch loss=0.039961, epoch loss=0.379912 Batch=359, step=15960, lr=0.133750, batch loss=0.078217, epoch loss=0.458129 Batch=419, step=16020, lr=0.133250, batch loss=0.096432, epoch loss=0.554561 Batch=479, step=16080, lr=0.133250, batch loss=0.072952, epoch loss=0.627513 Batch=539, step=16140, lr=0.133000, batch loss=0.099141, epoch loss=0.726654 Batch=599, step=16200, lr=0.132750, batch loss=0.061895, epoch loss=0.788549 Batch=659, step=16260, lr=0.132500, batch loss=0.082176, epoch loss=0.870725 Batch=719, step=16320, lr=0.132000, batch loss=0.073594, epoch loss=0.944319 Batch=779, step=16380, lr=0.131750, batch loss=0.074758, epoch loss=1.019077 Batch=839, step=16440, lr=0.131750, batch loss=0.108076, epoch loss=1.127153 Batch=899, step=16500, lr=0.131500, batch loss=0.160530, epoch loss=1.287683 Batch=959, step=16560, lr=0.131250, batch loss=0.056305, epoch loss=1.343988 Batch=1019, step=16620, lr=0.131000, batch loss=0.154845, epoch loss=1.498833 Batch=1079, step=16680, lr=0.130750, batch loss=0.022432, epoch loss=1.521265 Batch=1139, step=16740, lr=0.130500, batch loss=0.049784, epoch loss=1.571049 Batch=1199, step=16800, lr=0.130250, batch loss=0.026964, epoch loss=1.598013 Epoch=13, step=16800, lr=0.130250, epoch loss=1.598013 Batch=59, step=16860, lr=0.130000, batch loss=0.032739, epoch loss=0.032739 Batch=119, step=16920, lr=0.129750, batch loss=0.045710, epoch loss=0.078449 Batch=179, step=16980, lr=0.129500, batch loss=0.046315, epoch loss=0.124764 Batch=239, step=17040, lr=0.129250, batch loss=0.062301, epoch loss=0.187065 Batch=299, step=17100, lr=0.129000, batch loss=0.030004, epoch loss=0.217069 Batch=359, step=17160, lr=0.128750, batch loss=0.050391, epoch loss=0.267460 Batch=419, step=17220, lr=0.128500, batch loss=0.092281, epoch loss=0.359740 Batch=479, step=17280, lr=0.128250, batch loss=0.027346, epoch loss=0.387086 Batch=539, step=17340, lr=0.128000, batch loss=0.029133, epoch loss=0.416219 Batch=599, step=17400, lr=0.127500, batch loss=0.036015, epoch loss=0.452234 Batch=659, step=17460, lr=0.127250, batch loss=0.049194, epoch loss=0.501429 Batch=719, step=17520, lr=0.127000, batch loss=0.064047, epoch loss=0.565476 Batch=779, step=17580, lr=0.127000, batch loss=0.067738, epoch loss=0.633213 Batch=839, step=17640, lr=0.126500, batch loss=0.104423, epoch loss=0.737637 Batch=899, step=17700, lr=0.126250, batch loss=0.054718, epoch loss=0.792355 Batch=959, step=17760, lr=0.126250, batch loss=0.019258, epoch loss=0.811613 Batch=1019, step=17820, lr=0.126000, batch loss=0.028078, epoch loss=0.839691 Batch=1079, step=17880, lr=0.125500, batch loss=0.024376, epoch loss=0.864066 Batch=1139, step=17940, lr=0.125250, batch loss=0.059135, epoch loss=0.923201 Batch=1199, step=18000, lr=0.125000, batch loss=0.019444, epoch loss=0.942646 Epoch=14, step=18000, lr=0.125000, epoch loss=0.942646 Batch=59, step=18060, lr=0.124750, batch loss=0.015033, epoch loss=0.015033 Batch=119, step=18120, lr=0.124750, batch loss=0.021974, epoch loss=0.037007 Batch=179, step=18180, lr=0.124500, batch loss=0.030955, epoch loss=0.067962 Batch=239, step=18240, lr=0.124250, batch loss=0.035070, epoch loss=0.103032 Batch=299, step=18300, lr=0.124000, batch loss=0.010277, epoch loss=0.113309 Batch=359, step=18360, lr=0.123750, batch loss=0.028236, epoch loss=0.141545 Batch=419, step=18420, lr=0.123500, batch loss=0.031213, epoch loss=0.172758 Batch=479, step=18480, lr=0.123250, batch loss=0.015854, epoch loss=0.188612 Batch=539, step=18540, lr=0.123000, batch loss=0.042018, epoch loss=0.230630 Batch=599, step=18600, lr=0.122750, batch loss=0.071388, epoch loss=0.302018 Batch=659, step=18660, lr=0.122500, batch loss=0.036806, epoch loss=0.338824 Batch=719, step=18720, lr=0.122250, batch loss=0.041611, epoch loss=0.380435 Batch=779, step=18780, lr=0.122000, batch loss=0.109837, epoch loss=0.490272 Batch=839, step=18840, lr=0.121750, batch loss=0.063539, epoch loss=0.553812 Batch=899, step=18900, lr=0.121250, batch loss=0.080711, epoch loss=0.634523 Batch=959, step=18960, lr=0.121000, batch loss=0.014673, epoch loss=0.649195 Batch=1019, step=19020, lr=0.120750, batch loss=0.018619, epoch loss=0.667815 Batch=1079, step=19080, lr=0.120500, batch loss=0.005677, epoch loss=0.673491 Batch=1139, step=19140, lr=0.120250, batch loss=0.026134, epoch loss=0.699625 Batch=1199, step=19200, lr=0.120000, batch loss=0.011161, epoch loss=0.710786 Epoch=15, step=19200, lr=0.120000, epoch loss=0.710786 Batch=59, step=19260, lr=0.119750, batch loss=0.006306, epoch loss=0.006306 Batch=119, step=19320, lr=0.119500, batch loss=0.016908, epoch loss=0.023213 Batch=179, step=19380, lr=0.119250, batch loss=0.046850, epoch loss=0.070063 Batch=239, step=19440, lr=0.119000, batch loss=0.022715, epoch loss=0.092778 Batch=299, step=19500, lr=0.119000, batch loss=0.012314, epoch loss=0.105092 Batch=359, step=19560, lr=0.118750, batch loss=0.023396, epoch loss=0.128489 Batch=419, step=19620, lr=0.118500, batch loss=0.020756, epoch loss=0.149244 Batch=479, step=19680, lr=0.118000, batch loss=0.007608, epoch loss=0.156852 Batch=539, step=19740, lr=0.117750, batch loss=0.024602, epoch loss=0.181453 Batch=599, step=19800, lr=0.117500, batch loss=0.028191, epoch loss=0.209645 Batch=659, step=19860, lr=0.117500, batch loss=0.016722, epoch loss=0.226367 Batch=719, step=19920, lr=0.117000, batch loss=0.034647, epoch loss=0.261013 Batch=779, step=19980, lr=0.116750, batch loss=0.064987, epoch loss=0.326000 Batch=839, step=20040, lr=0.116750, batch loss=0.032170, epoch loss=0.358171 Batch=899, step=20100, lr=0.116500, batch loss=0.029767, epoch loss=0.387937 Batch=959, step=20160, lr=0.116000, batch loss=0.013669, epoch loss=0.401606 Batch=1019, step=20220, lr=0.116000, batch loss=0.021968, epoch loss=0.423574 Batch=1079, step=20280, lr=0.115500, batch loss=0.004043, epoch loss=0.427617 Batch=1139, step=20340, lr=0.115250, batch loss=0.016576, epoch loss=0.444192 Batch=1199, step=20400, lr=0.115000, batch loss=0.006707, epoch loss=0.450899 Epoch=16, step=20400, lr=0.115000, epoch loss=0.450899 Batch=59, step=20460, lr=0.115000, batch loss=0.003542, epoch loss=0.003542 Batch=119, step=20520, lr=0.114750, batch loss=0.009626, epoch loss=0.013168 Batch=179, step=20580, lr=0.114500, batch loss=0.022352, epoch loss=0.035520 Batch=239, step=20640, lr=0.114250, batch loss=0.018219, epoch loss=0.053739 Batch=299, step=20700, lr=0.113750, batch loss=0.005750, epoch loss=0.059489 Batch=359, step=20760, lr=0.113750, batch loss=0.013673, epoch loss=0.073162 Batch=419, step=20820, lr=0.113250, batch loss=0.014553, epoch loss=0.087716 Batch=479, step=20880, lr=0.113250, batch loss=0.004677, epoch loss=0.092392 Batch=539, step=20940, lr=0.112750, batch loss=0.015426, epoch loss=0.107818 Batch=599, step=21000, lr=0.112750, batch loss=0.019169, epoch loss=0.126987 Batch=659, step=21060, lr=0.112250, batch loss=0.013860, epoch loss=0.140847 Batch=719, step=21120, lr=0.112000, batch loss=0.038482, epoch loss=0.179329 Batch=779, step=21180, lr=0.112000, batch loss=0.070998, epoch loss=0.250327 Batch=839, step=21240, lr=0.111750, batch loss=0.026153, epoch loss=0.276480 Batch=899, step=21300, lr=0.111250, batch loss=0.030546, epoch loss=0.307027 Batch=959, step=21360, lr=0.111000, batch loss=0.010654, epoch loss=0.317681 Batch=1019, step=21420, lr=0.111000, batch loss=0.012966, epoch loss=0.330647 Batch=1079, step=21480, lr=0.110750, batch loss=0.001706, epoch loss=0.332353 Batch=1139, step=21540, lr=0.110500, batch loss=0.012840, epoch loss=0.345192 Batch=1199, step=21600, lr=0.110000, batch loss=0.005215, epoch loss=0.350407 Epoch=17, step=21600, lr=0.110000, epoch loss=0.350407 Batch=59, step=21660, lr=0.109750, batch loss=0.001896, epoch loss=0.001896 Batch=119, step=21720, lr=0.109750, batch loss=0.007330, epoch loss=0.009226 Batch=179, step=21780, lr=0.109250, batch loss=0.013098, epoch loss=0.022324 Batch=239, step=21840, lr=0.109000, batch loss=0.010176, epoch loss=0.032500 Batch=299, step=21900, lr=0.108750, batch loss=0.008930, epoch loss=0.041430 Batch=359, step=21960, lr=0.108500, batch loss=0.016747, epoch loss=0.058177 Batch=419, step=22020, lr=0.108250, batch loss=0.012683, epoch loss=0.070860 Batch=479, step=22080, lr=0.108000, batch loss=0.002712, epoch loss=0.073572 Batch=539, step=22140, lr=0.107750, batch loss=0.019288, epoch loss=0.092860 Batch=599, step=22200, lr=0.107500, batch loss=0.018857, epoch loss=0.111717 Batch=659, step=22260, lr=0.107250, batch loss=0.012980, epoch loss=0.124697 Batch=719, step=22320, lr=0.107250, batch loss=0.022392, epoch loss=0.147088 Batch=779, step=22380, lr=0.106750, batch loss=0.030691, epoch loss=0.177779 Batch=839, step=22440, lr=0.106750, batch loss=0.029541, epoch loss=0.207320 Batch=899, step=22500, lr=0.106250, batch loss=0.024842, epoch loss=0.232163 Batch=959, step=22560, lr=0.106000, batch loss=0.008951, epoch loss=0.241114 Batch=1019, step=22620, lr=0.105750, batch loss=0.007457, epoch loss=0.248570 Batch=1079, step=22680, lr=0.105500, batch loss=0.002324, epoch loss=0.250895 Batch=1139, step=22740, lr=0.105250, batch loss=0.011359, epoch loss=0.262254 Batch=1199, step=22800, lr=0.105250, batch loss=0.005094, epoch loss=0.267347 Epoch=18, step=22800, lr=0.105250, epoch loss=0.267347 Batch=59, step=22860, lr=0.104750, batch loss=0.002054, epoch loss=0.002054 Batch=119, step=22920, lr=0.104500, batch loss=0.005683, epoch loss=0.007737 Batch=179, step=22980, lr=0.104500, batch loss=0.011316, epoch loss=0.019054 Batch=239, step=23040, lr=0.104250, batch loss=0.008677, epoch loss=0.027731 Batch=299, step=23100, lr=0.104000, batch loss=0.008874, epoch loss=0.036605 Batch=359, step=23160, lr=0.103750, batch loss=0.013121, epoch loss=0.049725 Batch=419, step=23220, lr=0.103250, batch loss=0.011493, epoch loss=0.061219 Batch=479, step=23280, lr=0.103000, batch loss=0.004172, epoch loss=0.065390 Batch=539, step=23340, lr=0.103000, batch loss=0.013809, epoch loss=0.079200 Batch=599, step=23400, lr=0.102500, batch loss=0.014732, epoch loss=0.093932 Batch=659, step=23460, lr=0.102250, batch loss=0.012961, epoch loss=0.106892 Batch=719, step=23520, lr=0.102000, batch loss=0.016775, epoch loss=0.123667 Batch=779, step=23580, lr=0.102000, batch loss=0.021404, epoch loss=0.145071 Batch=839, step=23640, lr=0.101750, batch loss=0.025265, epoch loss=0.170336 Batch=899, step=23700, lr=0.101500, batch loss=0.024500, epoch loss=0.194836 Batch=959, step=23760, lr=0.101250, batch loss=0.007995, epoch loss=0.202831 Batch=1019, step=23820, lr=0.101000, batch loss=0.007676, epoch loss=0.210507 Batch=1079, step=23880, lr=0.100750, batch loss=0.000745, epoch loss=0.211251 Batch=1139, step=23940, lr=0.100500, batch loss=0.009172, epoch loss=0.220423 Batch=1199, step=24000, lr=0.100250, batch loss=0.004460, epoch loss=0.224883 Epoch=19, step=24000, lr=0.100250, epoch loss=0.224883 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************...******************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######***********............%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:53.30 ---> saved as "d5572fdaf7764e8adb77fe66d920f154bc18e47fde1f7cfe104cce31c33134e1" Job succeeded 2025-03-20 22:53.31: Job succeeded