2025-03-20 22:29.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (1a4d0ebb2cb2be9bf8422ae739357d8626151cd1) (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 1a4d0ebb 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 22:29.24: 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 22:29.24: 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 22:29.24: Waiting for resource in pool OCluster 2025-03-20 22:29.24: Waiting for worker… 2025-03-20 22:32.13: Got resource from pool OCluster Building on clete.caelum.ci.dev All commits already cached HEAD is now at 1a4d0ebb fPIC for cc: but only openSUSE complained https://ocaml.ci.dev/github/ahrefs/ocannl/commit/ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0/variant/opensuse-15.6-5.3_opam-2.3 (from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195) 2025-03-20 22:32.13 ---> 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 22:32.13 ---> 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 22:32.13 ---> 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 22:32.13 ---> using "738c3c1c23d535dbab62f668ede1ce97e62d7c350f7cb276ff4a9c0a6d842a7f" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:32.13 ---> 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 22:32.13 ---> using "708bfcd7071a8861aabd83f4c9f4de21aade0f3b6fd3203c8d7c8c273ca1214e" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:32.18 ---> saved as "f99b047404a4408af9056212933694e107a792c8ffdc61ba9ca8f890d212f0a0" /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 22:32.24 ---> saved as "f04e5dd02b75249ed073437cd46e67a04a373945608b77330c33cc911fc11f65" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:32.24 ---> saved as "00ce7e0a6df838a27038e0d91027f78f1631824545ac48d7ca781f1ae3b49425" /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 22:32.56 ---> saved as "946a11d2b8372891e013055a4d2a5ec42c2a479a9d4290d2f0cddba235566559" /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 22:34.41 ---> saved as "a7a42f5177ec5c6d9422495f1c4577bf9567c9da05426038f0c1d9b36af2e4d5" /src: (copy (src .) (dst /src)) 2025-03-20 22:34.43 ---> saved as "71295385565cc514876fed88507c1a540f2a8a13941c5358c19cdbe223c0f45c" /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/0d82932395c6a49fa8d5ec354c6a6afc/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/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/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/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/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/b11fc6698ccaf02362aafdada842107e/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/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/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/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/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/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/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/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/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/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/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/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/0d82932395c6a49fa8d5ec354c6a6afc/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0d82932395c6a49fa8d5ec354c6a6afc/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/0d82932395c6a49fa8d5ec354c6a6afc/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=0.198250, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.821468, epoch loss=39.841549 Batch=539, step=540, lr=0.198000, batch loss=0.691338, epoch loss=40.532887 Batch=599, step=600, lr=0.197750, batch loss=1.063206, epoch loss=41.596093 Batch=659, step=660, lr=0.197500, batch loss=0.483478, epoch loss=42.079571 Batch=719, step=720, lr=0.197250, batch loss=0.411326, epoch loss=42.490898 Batch=779, step=780, lr=0.197000, batch loss=0.470075, epoch loss=42.960972 Batch=839, step=840, lr=0.196750, batch loss=0.446754, epoch loss=43.407726 Batch=899, step=900, lr=0.196500, batch loss=0.382734, epoch loss=43.790461 Batch=959, step=960, lr=0.196250, batch loss=0.244931, epoch loss=44.035392 Batch=1019, step=1020, lr=0.196000, batch loss=0.466979, epoch loss=44.502372 Batch=1079, step=1080, lr=0.195750, batch loss=0.248417, epoch loss=44.750788 Batch=1139, step=1140, lr=0.195500, batch loss=0.317817, epoch loss=45.068605 Batch=1199, step=1200, lr=0.195250, batch loss=0.263596, epoch loss=45.332201 Epoch=0, step=1200, lr=0.195250, epoch loss=45.332201 Batch=59, step=1260, lr=0.195000, batch loss=0.262061, epoch loss=0.262061 Batch=119, step=1320, lr=0.194750, batch loss=0.205387, epoch loss=0.467448 Batch=179, step=1380, lr=0.194500, batch loss=0.243651, epoch loss=0.711099 Batch=239, step=1440, lr=0.194250, batch loss=0.347762, epoch loss=1.058861 Batch=299, step=1500, lr=0.194000, batch loss=0.247603, epoch loss=1.306463 Batch=359, step=1560, lr=0.193500, batch loss=0.316389, epoch loss=1.622852 Batch=419, step=1620, lr=0.193500, batch loss=0.308828, epoch loss=1.931681 Batch=479, step=1680, lr=0.193250, batch loss=0.275073, epoch loss=2.206754 Batch=539, step=1740, lr=0.193000, batch loss=0.210862, epoch loss=2.417616 Batch=599, step=1800, lr=0.192750, batch loss=0.261907, epoch loss=2.679523 Batch=659, step=1860, lr=0.192500, batch loss=0.375666, epoch loss=3.055189 Batch=719, step=1920, lr=0.192250, batch loss=0.357965, epoch loss=3.413154 Batch=779, step=1980, lr=0.192000, batch loss=0.386955, epoch loss=3.800109 Batch=839, step=2040, lr=0.191750, batch loss=0.346418, epoch loss=4.146526 Batch=899, step=2100, lr=0.191500, batch loss=0.319075, epoch loss=4.465602 Batch=959, step=2160, lr=0.191250, batch loss=0.246378, epoch loss=4.711980 Batch=1019, step=2220, lr=0.191000, batch loss=0.377610, epoch loss=5.089590 Batch=1079, step=2280, lr=0.190750, batch loss=0.216584, epoch loss=5.306174 Batch=1139, step=2340, lr=0.190500, batch loss=0.265897, epoch loss=5.572070 Batch=1199, step=2400, lr=0.190250, batch loss=0.212212, epoch loss=5.784283 Epoch=1, step=2400, lr=0.190250, epoch loss=5.784283 Batch=59, step=2460, lr=0.190000, batch loss=0.233826, epoch loss=0.233826 Batch=119, step=2520, lr=0.189750, batch loss=0.195930, epoch loss=0.429756 Batch=179, step=2580, lr=0.189500, batch loss=0.221262, epoch loss=0.651018 Batch=239, step=2640, lr=0.189250, batch loss=0.329010, epoch loss=0.980028 Batch=299, step=2700, lr=0.189000, batch loss=0.206973, epoch loss=1.187001 Batch=359, step=2760, lr=0.188750, batch loss=0.292786, epoch loss=1.479787 Batch=419, step=2820, lr=0.188500, batch loss=0.281205, epoch loss=1.760991 Batch=479, step=2880, lr=0.188250, batch loss=0.255336, epoch loss=2.016327 Batch=539, step=2940, lr=0.188000, batch loss=0.196051, epoch loss=2.212378 Batch=599, step=3000, lr=0.187750, batch loss=0.240794, epoch loss=2.453172 Batch=659, step=3060, lr=0.187500, batch loss=0.348672, epoch loss=2.801844 Batch=719, step=3120, lr=0.187250, batch loss=0.347802, epoch loss=3.149646 Batch=779, step=3180, lr=0.187000, batch loss=0.364190, epoch loss=3.513836 Batch=839, step=3240, lr=0.186750, batch loss=0.324812, epoch loss=3.838648 Batch=899, step=3300, lr=0.186500, batch loss=0.289034, epoch loss=4.127682 Batch=959, step=3360, lr=0.186250, batch loss=0.211314, epoch loss=4.338996 Batch=1019, step=3420, lr=0.186000, batch loss=0.308365, epoch loss=4.647361 Batch=1079, step=3480, lr=0.185750, batch loss=0.174681, epoch loss=4.822042 Batch=1139, step=3540, lr=0.185500, batch loss=0.231607, epoch loss=5.053648 Batch=1199, step=3600, lr=0.185250, batch loss=0.199034, epoch loss=5.252683 Epoch=2, step=3600, lr=0.185250, epoch loss=5.252683 Batch=59, step=3660, lr=0.185000, batch loss=0.226839, epoch loss=0.226839 Batch=119, step=3720, lr=0.184750, batch loss=0.192012, epoch loss=0.418851 Batch=179, step=3780, lr=0.184500, batch loss=0.211056, epoch loss=0.629907 Batch=239, step=3840, lr=0.184250, batch loss=0.315020, epoch loss=0.944927 Batch=299, step=3900, lr=0.184000, batch loss=0.206276, epoch loss=1.151203 Batch=359, step=3960, lr=0.183750, batch loss=0.287445, epoch loss=1.438648 Batch=419, step=4020, lr=0.183500, batch loss=0.279242, epoch loss=1.717890 Batch=479, step=4080, lr=0.183250, batch loss=0.254704, epoch loss=1.972594 Batch=539, step=4140, lr=0.183000, batch loss=0.202032, epoch loss=2.174626 Batch=599, step=4200, lr=0.182750, batch loss=0.242239, epoch loss=2.416865 Batch=659, step=4260, lr=0.182500, batch loss=0.328464, epoch loss=2.745328 Batch=719, step=4320, lr=0.182250, batch loss=0.328297, epoch loss=3.073625 Batch=779, step=4380, lr=0.182000, batch loss=0.350636, epoch loss=3.424262 Batch=839, step=4440, lr=0.181750, batch loss=0.318880, epoch loss=3.743141 Batch=899, step=4500, lr=0.181500, batch loss=0.291283, epoch loss=4.034424 Batch=959, step=4560, lr=0.181250, batch loss=0.242626, epoch loss=4.277051 Batch=1019, step=4620, lr=0.181000, batch loss=0.347086, epoch loss=4.624136 Batch=1079, step=4680, lr=0.180750, batch loss=0.215207, epoch loss=4.839343 Batch=1139, step=4740, lr=0.180500, batch loss=0.250650, epoch loss=5.089993 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281761 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281761 Batch=59, step=4860, lr=0.180000, batch loss=0.226424, epoch loss=0.226424 Batch=119, step=4920, lr=0.179750, batch loss=0.190890, epoch loss=0.417314 Batch=179, step=4980, lr=0.179500, batch loss=0.206396, epoch loss=0.623710 Batch=239, step=5040, lr=0.179250, batch loss=0.307389, epoch loss=0.931099 Batch=299, step=5100, lr=0.179000, batch loss=0.207600, epoch loss=1.138699 Batch=359, step=5160, lr=0.178750, batch loss=0.274693, epoch loss=1.413392 Batch=419, step=5220, lr=0.178500, batch loss=0.265605, epoch loss=1.678997 Batch=479, step=5280, lr=0.178250, batch loss=0.241132, epoch loss=1.920129 Batch=539, step=5340, lr=0.178000, batch loss=0.189238, epoch loss=2.109367 Batch=599, step=5400, lr=0.177750, batch loss=0.230592, epoch loss=2.339959 Batch=659, step=5460, lr=0.177500, batch loss=0.324115, epoch loss=2.664074 Batch=719, step=5520, lr=0.177250, batch loss=0.326464, epoch loss=2.990538 Batch=779, step=5580, lr=0.177000, batch loss=0.348504, epoch loss=3.339042 Batch=839, step=5640, lr=0.176750, batch loss=0.306167, epoch loss=3.645209 Batch=899, step=5700, lr=0.176500, batch loss=0.265785, epoch loss=3.910994 Batch=959, step=5760, lr=0.176250, batch loss=0.200914, epoch loss=4.111909 Batch=1019, step=5820, lr=0.176000, batch loss=0.301374, epoch loss=4.413283 Batch=1079, step=5880, lr=0.175750, batch loss=0.182045, epoch loss=4.595327 Batch=1139, step=5940, lr=0.175500, batch loss=0.220924, epoch loss=4.816251 Batch=1199, step=6000, lr=0.175250, batch loss=0.185402, epoch loss=5.001654 Epoch=4, step=6000, lr=0.175250, epoch loss=5.001654 Batch=59, step=6060, lr=0.175000, batch loss=0.217503, epoch loss=0.217503 Batch=119, step=6120, lr=0.174750, batch loss=0.190093, epoch loss=0.407596 Batch=179, step=6180, lr=0.174500, batch loss=0.198725, epoch loss=0.606321 Batch=239, step=6240, lr=0.174250, batch loss=0.299258, epoch loss=0.905579 Batch=299, step=6300, lr=0.174000, batch loss=0.213712, epoch loss=1.119291 Batch=359, step=6360, lr=0.173750, batch loss=0.280733, epoch loss=1.400024 Batch=419, step=6420, lr=0.173500, batch loss=0.275630, epoch loss=1.675654 Batch=479, step=6480, lr=0.173250, batch loss=0.256920, epoch loss=1.932574 Batch=539, step=6540, lr=0.173000, batch loss=0.188190, epoch loss=2.120764 Batch=599, step=6600, lr=0.172750, batch loss=0.227711, epoch loss=2.348475 Batch=659, step=6660, lr=0.172500, batch loss=0.313456, epoch loss=2.661931 Batch=719, step=6720, lr=0.172250, batch loss=0.313467, epoch loss=2.975398 Batch=779, step=6780, lr=0.172000, batch loss=0.329835, epoch loss=3.305233 Batch=839, step=6840, lr=0.171750, batch loss=0.304146, epoch loss=3.609379 Batch=899, step=6900, lr=0.171500, batch loss=0.265299, epoch loss=3.874678 Batch=959, step=6960, lr=0.171250, batch loss=0.214218, epoch loss=4.088896 Batch=1019, step=7020, lr=0.171000, batch loss=0.326145, epoch loss=4.415040 Batch=1079, step=7080, lr=0.170750, batch loss=0.187470, epoch loss=4.602511 Batch=1139, step=7140, lr=0.170500, batch loss=0.218634, epoch loss=4.821145 Batch=1199, step=7200, lr=0.170250, batch loss=0.183322, epoch loss=5.004467 Epoch=5, step=7200, lr=0.170250, epoch loss=5.004467 Batch=59, step=7260, lr=0.170000, batch loss=0.239459, epoch loss=0.239459 Batch=119, step=7320, lr=0.169750, batch loss=0.180380, epoch loss=0.419840 Batch=179, step=7380, lr=0.169500, batch loss=0.194715, epoch loss=0.614555 Batch=239, step=7440, lr=0.169250, batch loss=0.289320, epoch loss=0.903875 Batch=299, step=7500, lr=0.169000, batch loss=0.201139, epoch loss=1.105014 Batch=359, step=7560, lr=0.168750, batch loss=0.259012, epoch loss=1.364025 Batch=419, step=7620, lr=0.168500, batch loss=0.256300, epoch loss=1.620325 Batch=479, step=7680, lr=0.168250, batch loss=0.236897, epoch loss=1.857222 Batch=539, step=7740, lr=0.168000, batch loss=0.188274, epoch loss=2.045496 Batch=599, step=7800, lr=0.167750, batch loss=0.225544, epoch loss=2.271040 Batch=659, step=7860, lr=0.167500, batch loss=0.304654, epoch loss=2.575695 Batch=719, step=7920, lr=0.167250, batch loss=0.306388, epoch loss=2.882083 Batch=779, step=7980, lr=0.167000, batch loss=0.321077, epoch loss=3.203161 Batch=839, step=8040, lr=0.166750, batch loss=0.295351, epoch loss=3.498512 Batch=899, step=8100, lr=0.166500, batch loss=0.259376, epoch loss=3.757888 Batch=959, step=8160, lr=0.166250, batch loss=0.206723, epoch loss=3.964611 Batch=1019, step=8220, lr=0.166000, batch loss=0.322567, epoch loss=4.287178 Batch=1079, step=8280, lr=0.165750, batch loss=0.204471, epoch loss=4.491649 Batch=1139, step=8340, lr=0.165500, batch loss=0.223501, epoch loss=4.715150 Batch=1199, step=8400, lr=0.165250, batch loss=0.174388, epoch loss=4.889538 Epoch=6, step=8400, lr=0.165250, epoch loss=4.889538 Batch=59, step=8460, lr=0.165000, batch loss=0.208557, epoch loss=0.208557 Batch=119, step=8520, lr=0.164750, batch loss=0.174027, epoch loss=0.382584 Batch=179, step=8580, lr=0.164500, batch loss=0.187460, epoch loss=0.570044 Batch=239, step=8640, lr=0.164250, batch loss=0.276637, epoch loss=0.846681 Batch=299, step=8700, lr=0.164000, batch loss=0.193122, epoch loss=1.039803 Batch=359, step=8760, lr=0.163750, batch loss=0.249097, epoch loss=1.288900 Batch=419, step=8820, lr=0.163500, batch loss=0.244211, epoch loss=1.533112 Batch=479, step=8880, lr=0.163250, batch loss=0.229178, epoch loss=1.762290 Batch=539, step=8940, lr=0.163000, batch loss=0.177202, epoch loss=1.939492 Batch=599, step=9000, lr=0.162750, batch loss=0.218721, epoch loss=2.158213 Batch=659, step=9060, lr=0.162500, batch loss=0.292935, epoch loss=2.451148 Batch=719, step=9120, lr=0.162250, batch loss=0.296038, epoch loss=2.747186 Batch=779, step=9180, lr=0.162000, batch loss=0.314344, epoch loss=3.061530 Batch=839, step=9240, lr=0.161750, batch loss=0.281300, epoch loss=3.342831 Batch=899, step=9300, lr=0.161500, batch loss=0.252388, epoch loss=3.595218 Batch=959, step=9360, lr=0.161250, batch loss=0.187318, epoch loss=3.782536 Batch=1019, step=9420, lr=0.161000, batch loss=0.319077, epoch loss=4.101613 Batch=1079, step=9480, lr=0.160750, batch loss=0.195745, epoch loss=4.297358 Batch=1139, step=9540, lr=0.160500, batch loss=0.212527, epoch loss=4.509885 Batch=1199, step=9600, lr=0.160250, batch loss=0.167416, epoch loss=4.677301 Epoch=7, step=9600, lr=0.160250, epoch loss=4.677301 Batch=59, step=9660, lr=0.160000, batch loss=0.210194, epoch loss=0.210194 Batch=119, step=9720, lr=0.159750, batch loss=0.170785, epoch loss=0.380979 Batch=179, step=9780, lr=0.159500, batch loss=0.179349, epoch loss=0.560328 Batch=239, step=9840, lr=0.159250, batch loss=0.262004, epoch loss=0.822332 Batch=299, step=9900, lr=0.159000, batch loss=0.184186, epoch loss=1.006517 Batch=359, step=9960, lr=0.158750, batch loss=0.238244, epoch loss=1.244761 Batch=419, step=10020, lr=0.158500, batch loss=0.233817, epoch loss=1.478578 Batch=479, step=10080, lr=0.158250, batch loss=0.219671, epoch loss=1.698249 Batch=539, step=10140, lr=0.158000, batch loss=0.164781, epoch loss=1.863030 Batch=599, step=10200, lr=0.157750, batch loss=0.197118, epoch loss=2.060147 Batch=659, step=10260, lr=0.157500, batch loss=0.281726, epoch loss=2.341873 Batch=719, step=10320, lr=0.157250, batch loss=0.281783, epoch loss=2.623656 Batch=779, step=10380, lr=0.157000, batch loss=0.294670, epoch loss=2.918326 Batch=839, step=10440, lr=0.156750, batch loss=0.269911, epoch loss=3.188237 Batch=899, step=10500, lr=0.156500, batch loss=0.238624, epoch loss=3.426861 Batch=959, step=10560, lr=0.156250, batch loss=0.174431, epoch loss=3.601291 Batch=1019, step=10620, lr=0.156000, batch loss=0.286064, epoch loss=3.887355 Batch=1079, step=10680, lr=0.155750, batch loss=0.188350, epoch loss=4.075705 Batch=1139, step=10740, lr=0.155500, batch loss=0.200120, epoch loss=4.275826 Batch=1199, step=10800, lr=0.155250, batch loss=0.155530, epoch loss=4.431356 Epoch=8, step=10800, lr=0.155250, epoch loss=4.431356 Batch=59, step=10860, lr=0.155000, batch loss=0.178017, epoch loss=0.178017 Batch=119, step=10920, lr=0.154750, batch loss=0.150555, epoch loss=0.328572 Batch=179, step=10980, lr=0.154500, batch loss=0.165587, epoch loss=0.494160 Batch=239, step=11040, lr=0.154250, batch loss=0.242746, epoch loss=0.736906 Batch=299, step=11100, lr=0.154000, batch loss=0.168475, epoch loss=0.905381 Batch=359, step=11160, lr=0.153750, batch loss=0.220294, epoch loss=1.125675 Batch=419, step=11220, lr=0.153500, batch loss=0.218362, epoch loss=1.344037 Batch=479, step=11280, lr=0.153250, batch loss=0.210041, epoch loss=1.554078 Batch=539, step=11340, lr=0.153000, batch loss=0.165598, epoch loss=1.719676 Batch=599, step=11400, lr=0.152750, batch loss=0.177192, epoch loss=1.896867 Batch=659, step=11460, lr=0.152500, batch loss=0.259572, epoch loss=2.156439 Batch=719, step=11520, lr=0.152250, batch loss=0.260319, epoch loss=2.416758 Batch=779, step=11580, lr=0.152000, batch loss=0.268906, epoch loss=2.685664 Batch=839, step=11640, lr=0.151750, batch loss=0.250782, epoch loss=2.936446 Batch=899, step=11700, lr=0.151500, batch loss=0.216433, epoch loss=3.152878 Batch=959, step=11760, lr=0.151250, batch loss=0.161284, epoch loss=3.314162 Batch=1019, step=11820, lr=0.151000, batch loss=0.258484, epoch loss=3.572646 Batch=1079, step=11880, lr=0.150750, batch loss=0.139388, epoch loss=3.712033 Batch=1139, step=11940, lr=0.150500, batch loss=0.172903, epoch loss=3.884936 Batch=1199, step=12000, lr=0.150250, batch loss=0.138602, epoch loss=4.023538 Epoch=9, step=12000, lr=0.150250, epoch loss=4.023538 Batch=59, step=12060, lr=0.150000, batch loss=0.163411, epoch loss=0.163411 Batch=119, step=12120, lr=0.149750, batch loss=0.134427, epoch loss=0.297838 Batch=179, step=12180, lr=0.149500, batch loss=0.150455, epoch loss=0.448293 Batch=239, step=12240, lr=0.149250, batch loss=0.219571, epoch loss=0.667864 Batch=299, step=12300, lr=0.149000, batch loss=0.140190, epoch loss=0.808054 Batch=359, step=12360, lr=0.148750, batch loss=0.199133, epoch loss=1.007187 Batch=419, step=12420, lr=0.148500, batch loss=0.203713, epoch loss=1.210900 Batch=479, step=12480, lr=0.148250, batch loss=0.180500, epoch loss=1.391400 Batch=539, step=12540, lr=0.148000, batch loss=0.141299, epoch loss=1.532699 Batch=599, step=12600, lr=0.147750, batch loss=0.150616, epoch loss=1.683315 Batch=659, step=12660, lr=0.147500, batch loss=0.223873, epoch loss=1.907188 Batch=719, step=12720, lr=0.147250, batch loss=0.234493, epoch loss=2.141681 Batch=779, step=12780, lr=0.147000, batch loss=0.261627, epoch loss=2.403308 Batch=839, step=12840, lr=0.146750, batch loss=0.234682, epoch loss=2.637990 Batch=899, step=12900, lr=0.146500, batch loss=0.222494, epoch loss=2.860484 Batch=959, step=12960, lr=0.146250, batch loss=0.143989, epoch loss=3.004473 Batch=1019, step=13020, lr=0.146000, batch loss=0.227084, epoch loss=3.231556 Batch=1079, step=13080, lr=0.145750, batch loss=0.101835, epoch loss=3.333392 Batch=1139, step=13140, lr=0.145500, batch loss=0.136896, epoch loss=3.470287 Batch=1199, step=13200, lr=0.145250, batch loss=0.119386, epoch loss=3.589673 Epoch=10, step=13200, lr=0.145250, epoch loss=3.589673 Batch=59, step=13260, lr=0.145000, batch loss=0.138210, epoch loss=0.138210 Batch=119, step=13320, lr=0.144750, batch loss=0.124155, epoch loss=0.262365 Batch=179, step=13380, lr=0.144500, batch loss=0.126418, epoch loss=0.388782 Batch=239, step=13440, lr=0.144250, batch loss=0.191789, epoch loss=0.580571 Batch=299, step=13500, lr=0.144000, batch loss=0.133011, epoch loss=0.713582 Batch=359, step=13560, lr=0.143750, batch loss=0.159955, epoch loss=0.873537 Batch=419, step=13620, lr=0.143500, batch loss=0.163088, epoch loss=1.036625 Batch=479, step=13680, lr=0.143250, batch loss=0.144836, epoch loss=1.181461 Batch=539, step=13740, lr=0.143000, batch loss=0.120428, epoch loss=1.301889 Batch=599, step=13800, lr=0.142750, batch loss=0.119355, epoch loss=1.421243 Batch=659, step=13860, lr=0.142500, batch loss=0.175462, epoch loss=1.596706 Batch=719, step=13920, lr=0.142250, batch loss=0.174061, epoch loss=1.770767 Batch=779, step=13980, lr=0.142000, batch loss=0.199056, epoch loss=1.969823 Batch=839, step=14040, lr=0.141750, batch loss=0.199268, epoch loss=2.169091 Batch=899, step=14100, lr=0.141500, batch loss=0.223237, epoch loss=2.392327 Batch=959, step=14160, lr=0.141250, batch loss=0.097489, epoch loss=2.489816 Batch=1019, step=14220, lr=0.141000, batch loss=0.186331, epoch loss=2.676147 Batch=1079, step=14280, lr=0.140750, batch loss=0.080049, epoch loss=2.756196 Batch=1139, step=14340, lr=0.140500, batch loss=0.131249, epoch loss=2.887445 Batch=1199, step=14400, lr=0.140250, batch loss=0.086186, epoch loss=2.973631 Epoch=11, step=14400, lr=0.140250, epoch loss=2.973631 Batch=59, step=14460, lr=0.140000, batch loss=0.104191, epoch loss=0.104191 Batch=119, step=14520, lr=0.139750, batch loss=0.098084, epoch loss=0.202275 Batch=179, step=14580, lr=0.139500, batch loss=0.099686, epoch loss=0.301961 Batch=239, step=14640, lr=0.139250, batch loss=0.140809, epoch loss=0.442770 Batch=299, step=14700, lr=0.139000, batch loss=0.076349, epoch loss=0.519119 Batch=359, step=14760, lr=0.138750, batch loss=0.119100, epoch loss=0.638220 Batch=419, step=14820, lr=0.138500, batch loss=0.129211, epoch loss=0.767431 Batch=479, step=14880, lr=0.138250, batch loss=0.102064, epoch loss=0.869495 Batch=539, step=14940, lr=0.138000, batch loss=0.109034, epoch loss=0.978529 Batch=599, step=15000, lr=0.137750, batch loss=0.082826, epoch loss=1.061355 Batch=659, step=15060, lr=0.137500, batch loss=0.125790, epoch loss=1.187145 Batch=719, step=15120, lr=0.137250, batch loss=0.126401, epoch loss=1.313547 Batch=779, step=15180, lr=0.137000, batch loss=0.153159, epoch loss=1.466706 Batch=839, step=15240, lr=0.136750, batch loss=0.174551, epoch loss=1.641257 Batch=899, step=15300, lr=0.136500, batch loss=0.304651, epoch loss=1.945908 Batch=959, step=15360, lr=0.136250, batch loss=0.061838, epoch loss=2.007745 Batch=1019, step=15420, lr=0.136000, batch loss=0.135232, epoch loss=2.142977 Batch=1079, step=15480, lr=0.135750, batch loss=0.041863, epoch loss=2.184840 Batch=1139, step=15540, lr=0.135500, batch loss=0.093913, epoch loss=2.278752 Batch=1199, step=15600, lr=0.135250, batch loss=0.059140, epoch loss=2.337892 Epoch=12, step=15600, lr=0.135250, epoch loss=2.337892 Batch=59, step=15660, lr=0.135000, batch loss=0.076051, epoch loss=0.076051 Batch=119, step=15720, lr=0.134750, batch loss=0.106056, epoch loss=0.182107 Batch=179, step=15780, lr=0.134500, batch loss=0.089171, epoch loss=0.271279 Batch=239, step=15840, lr=0.134250, batch loss=0.091722, epoch loss=0.363000 Batch=299, step=15900, lr=0.134000, batch loss=0.039083, epoch loss=0.402083 Batch=359, step=15960, lr=0.133750, batch loss=0.077733, epoch loss=0.479816 Batch=419, step=16020, lr=0.133500, batch loss=0.081844, epoch loss=0.561660 Batch=479, step=16080, lr=0.133250, batch loss=0.069338, epoch loss=0.630998 Batch=539, step=16140, lr=0.133000, batch loss=0.051951, epoch loss=0.682949 Batch=599, step=16200, lr=0.132750, batch loss=0.098605, epoch loss=0.781555 Batch=659, step=16260, lr=0.132500, batch loss=0.074468, epoch loss=0.856022 Batch=719, step=16320, lr=0.132250, batch loss=0.086633, epoch loss=0.942655 Batch=779, step=16380, lr=0.132000, batch loss=0.128533, epoch loss=1.071188 Batch=839, step=16440, lr=0.131750, batch loss=0.124919, epoch loss=1.196107 Batch=899, step=16500, lr=0.131500, batch loss=0.154992, epoch loss=1.351099 Batch=959, step=16560, lr=0.131250, batch loss=0.037616, epoch loss=1.388715 Batch=1019, step=16620, lr=0.131000, batch loss=0.109453, epoch loss=1.498168 Batch=1079, step=16680, lr=0.130750, batch loss=0.023672, epoch loss=1.521840 Batch=1139, step=16740, lr=0.130500, batch loss=0.054639, epoch loss=1.576478 Batch=1199, step=16800, lr=0.130250, batch loss=0.030982, epoch loss=1.607460 Epoch=13, step=16800, lr=0.130250, epoch loss=1.607460 Batch=59, step=16860, lr=0.130000, batch loss=0.036509, epoch loss=0.036509 Batch=119, step=16920, lr=0.129750, batch loss=0.048116, epoch loss=0.084625 Batch=179, step=16980, lr=0.129500, batch loss=0.048182, epoch loss=0.132807 Batch=239, step=17040, lr=0.129250, batch loss=0.068729, epoch loss=0.201535 Batch=299, step=17100, lr=0.129000, batch loss=0.033337, epoch loss=0.234873 Batch=359, step=17160, lr=0.128750, batch loss=0.050079, epoch loss=0.284952 Batch=419, step=17220, lr=0.128500, batch loss=0.077569, epoch loss=0.362520 Batch=479, step=17280, lr=0.128250, batch loss=0.023251, epoch loss=0.385772 Batch=539, step=17340, lr=0.128000, batch loss=0.028058, epoch loss=0.413829 Batch=599, step=17400, lr=0.127750, batch loss=0.033554, epoch loss=0.447383 Batch=659, step=17460, lr=0.127500, batch loss=0.045635, epoch loss=0.493018 Batch=719, step=17520, lr=0.127250, batch loss=0.062370, epoch loss=0.555389 Batch=779, step=17580, lr=0.127000, batch loss=0.124671, epoch loss=0.680059 Batch=839, step=17640, lr=0.126750, batch loss=0.105416, epoch loss=0.785475 Batch=899, step=17700, lr=0.126500, batch loss=0.144298, epoch loss=0.929774 Batch=959, step=17760, lr=0.126250, batch loss=0.019492, epoch loss=0.949266 Batch=1019, step=17820, lr=0.126000, batch loss=0.037742, epoch loss=0.987008 Batch=1079, step=17880, lr=0.125750, batch loss=0.008649, epoch loss=0.995657 Batch=1139, step=17940, lr=0.125500, batch loss=0.030168, epoch loss=1.025825 Batch=1199, step=18000, lr=0.125250, batch loss=0.013757, epoch loss=1.039582 Epoch=14, step=18000, lr=0.125250, epoch loss=1.039582 Batch=59, step=18060, lr=0.125000, batch loss=0.010977, epoch loss=0.010977 Batch=119, step=18120, lr=0.124750, batch loss=0.019620, epoch loss=0.030596 Batch=179, step=18180, lr=0.124500, batch loss=0.033517, epoch loss=0.064113 Batch=239, step=18240, lr=0.124250, batch loss=0.038165, epoch loss=0.102278 Batch=299, step=18300, lr=0.124000, batch loss=0.016741, epoch loss=0.119019 Batch=359, step=18360, lr=0.123750, batch loss=0.022761, epoch loss=0.141780 Batch=419, step=18420, lr=0.123500, batch loss=0.028958, epoch loss=0.170739 Batch=479, step=18480, lr=0.123250, batch loss=0.020635, epoch loss=0.191374 Batch=539, step=18540, lr=0.123000, batch loss=0.040432, epoch loss=0.231807 Batch=599, step=18600, lr=0.122750, batch loss=0.025344, epoch loss=0.257151 Batch=659, step=18660, lr=0.122500, batch loss=0.034344, epoch loss=0.291494 Batch=719, step=18720, lr=0.122250, batch loss=0.033381, epoch loss=0.324875 Batch=779, step=18780, lr=0.122000, batch loss=0.082409, epoch loss=0.407284 Batch=839, step=18840, lr=0.121750, batch loss=0.051445, epoch loss=0.458729 Batch=899, step=18900, lr=0.121500, batch loss=0.050120, epoch loss=0.508848 Batch=959, step=18960, lr=0.121250, batch loss=0.013435, epoch loss=0.522283 Batch=1019, step=19020, lr=0.121000, batch loss=0.026123, epoch loss=0.548406 Batch=1079, step=19080, lr=0.120750, batch loss=0.010620, epoch loss=0.559026 Batch=1139, step=19140, lr=0.120500, batch loss=0.023494, epoch loss=0.582520 Batch=1199, step=19200, lr=0.120250, batch loss=0.009739, epoch loss=0.592259 Epoch=15, step=19200, lr=0.120250, epoch loss=0.592259 Batch=59, step=19260, lr=0.120000, batch loss=0.005474, epoch loss=0.005474 Batch=119, step=19320, lr=0.119750, batch loss=0.016297, epoch loss=0.021771 Batch=179, step=19380, lr=0.119500, batch loss=0.040051, epoch loss=0.061823 Batch=239, step=19440, lr=0.119250, batch loss=0.022645, epoch loss=0.084467 Batch=299, step=19500, lr=0.119000, batch loss=0.005180, epoch loss=0.089647 Batch=359, step=19560, lr=0.118750, batch loss=0.016266, epoch loss=0.105914 Batch=419, step=19620, lr=0.118500, batch loss=0.018406, epoch loss=0.124320 Batch=479, step=19680, lr=0.118250, batch loss=0.008827, epoch loss=0.133147 Batch=539, step=19740, lr=0.118000, batch loss=0.019843, epoch loss=0.152990 Batch=599, step=19800, lr=0.117750, batch loss=0.021248, epoch loss=0.174238 Batch=659, step=19860, lr=0.117500, batch loss=0.020272, epoch loss=0.194510 Batch=719, step=19920, lr=0.117250, batch loss=0.031261, epoch loss=0.225771 Batch=779, step=19980, lr=0.117000, batch loss=0.060982, epoch loss=0.286753 Batch=839, step=20040, lr=0.116750, batch loss=0.035396, epoch loss=0.322150 Batch=899, step=20100, lr=0.116500, batch loss=0.042854, epoch loss=0.365004 Batch=959, step=20160, lr=0.116250, batch loss=0.010915, epoch loss=0.375919 Batch=1019, step=20220, lr=0.116000, batch loss=0.012476, epoch loss=0.388395 Batch=1079, step=20280, lr=0.115750, batch loss=0.005162, epoch loss=0.393557 Batch=1139, step=20340, lr=0.115500, batch loss=0.019021, epoch loss=0.412578 Batch=1199, step=20400, lr=0.115250, batch loss=0.007482, epoch loss=0.420060 Epoch=16, step=20400, lr=0.115250, epoch loss=0.420060 Batch=59, step=20460, lr=0.115000, batch loss=0.003517, epoch loss=0.003517 Batch=119, step=20520, lr=0.114750, batch loss=0.008559, epoch loss=0.012076 Batch=179, step=20580, lr=0.114500, batch loss=0.015447, epoch loss=0.027523 Batch=239, step=20640, lr=0.114250, batch loss=0.012806, epoch loss=0.040329 Batch=299, step=20700, lr=0.114000, batch loss=0.003901, epoch loss=0.044230 Batch=359, step=20760, lr=0.113750, batch loss=0.013022, epoch loss=0.057252 Batch=419, step=20820, lr=0.113500, batch loss=0.016407, epoch loss=0.073659 Batch=479, step=20880, lr=0.113250, batch loss=0.007017, epoch loss=0.080676 Batch=539, step=20940, lr=0.113000, batch loss=0.015358, epoch loss=0.096034 Batch=599, step=21000, lr=0.112750, batch loss=0.020416, epoch loss=0.116449 Batch=659, step=21060, lr=0.112500, batch loss=0.013690, epoch loss=0.130139 Batch=719, step=21120, lr=0.112250, batch loss=0.027422, epoch loss=0.157562 Batch=779, step=21180, lr=0.111750, batch loss=0.053432, epoch loss=0.210994 Batch=839, step=21240, lr=0.111750, batch loss=0.024906, epoch loss=0.235900 Batch=899, step=21300, lr=0.111500, batch loss=0.024222, epoch loss=0.260122 Batch=959, step=21360, lr=0.111250, batch loss=0.016747, epoch loss=0.276869 Batch=1019, step=21420, lr=0.111000, batch loss=0.013201, epoch loss=0.290070 Batch=1079, step=21480, lr=0.110750, batch loss=0.002568, epoch loss=0.292638 Batch=1139, step=21540, lr=0.110500, batch loss=0.011774, epoch loss=0.304412 Batch=1199, step=21600, lr=0.110000, batch loss=0.004773, epoch loss=0.309185 Epoch=17, step=21600, lr=0.110000, epoch loss=0.309185 Batch=59, step=21660, lr=0.110000, batch loss=0.002203, epoch loss=0.002203 Batch=119, step=21720, lr=0.109500, batch loss=0.007332, epoch loss=0.009535 Batch=179, step=21780, lr=0.109250, batch loss=0.012063, epoch loss=0.021598 Batch=239, step=21840, lr=0.109000, batch loss=0.009444, epoch loss=0.031042 Batch=299, step=21900, lr=0.108750, batch loss=0.008591, epoch loss=0.039633 Batch=359, step=21960, lr=0.108750, batch loss=0.014650, epoch loss=0.054283 Batch=419, step=22020, lr=0.108500, batch loss=0.013614, epoch loss=0.067896 Batch=479, step=22080, lr=0.108250, batch loss=0.003102, epoch loss=0.070999 Batch=539, step=22140, lr=0.108000, batch loss=0.016749, epoch loss=0.087748 Batch=599, step=22200, lr=0.107750, batch loss=0.015876, epoch loss=0.103623 Batch=659, step=22260, lr=0.107500, batch loss=0.011722, epoch loss=0.115346 Batch=719, step=22320, lr=0.107250, batch loss=0.016538, epoch loss=0.131883 Batch=779, step=22380, lr=0.107000, batch loss=0.025003, epoch loss=0.156887 Batch=839, step=22440, lr=0.106750, batch loss=0.027435, epoch loss=0.184322 Batch=899, step=22500, lr=0.106500, batch loss=0.024836, epoch loss=0.209158 Batch=959, step=22560, lr=0.106250, batch loss=0.009249, epoch loss=0.218407 Batch=1019, step=22620, lr=0.106000, batch loss=0.010061, epoch loss=0.228467 Batch=1079, step=22680, lr=0.105750, batch loss=0.001943, epoch loss=0.230411 Batch=1139, step=22740, lr=0.105250, batch loss=0.010974, epoch loss=0.241385 Batch=1199, step=22800, lr=0.105250, batch loss=0.005324, epoch loss=0.246709 Epoch=18, step=22800, lr=0.105250, epoch loss=0.246709 Batch=59, step=22860, lr=0.105000, batch loss=0.002802, epoch loss=0.002802 Batch=119, step=22920, lr=0.104500, batch loss=0.005307, epoch loss=0.008109 Batch=179, step=22980, lr=0.104250, batch loss=0.013415, epoch loss=0.021524 Batch=239, step=23040, lr=0.104000, batch loss=0.008462, epoch loss=0.029986 Batch=299, step=23100, lr=0.104000, batch loss=0.004413, epoch loss=0.034399 Batch=359, step=23160, lr=0.103500, batch loss=0.011841, epoch loss=0.046240 Batch=419, step=23220, lr=0.103250, batch loss=0.010293, epoch loss=0.056534 Batch=479, step=23280, lr=0.103250, batch loss=0.002738, epoch loss=0.059272 Batch=539, step=23340, lr=0.103000, batch loss=0.017150, epoch loss=0.076422 Batch=599, step=23400, lr=0.102750, batch loss=0.013622, epoch loss=0.090044 Batch=659, step=23460, lr=0.102500, batch loss=0.011313, epoch loss=0.101357 Batch=719, step=23520, lr=0.102250, batch loss=0.013637, epoch loss=0.114994 Batch=779, step=23580, lr=0.102000, batch loss=0.022757, epoch loss=0.137751 Batch=839, step=23640, lr=0.101750, batch loss=0.023158, epoch loss=0.160909 Batch=899, step=23700, lr=0.101500, batch loss=0.024299, epoch loss=0.185208 Batch=959, step=23760, lr=0.101250, batch loss=0.008165, epoch loss=0.193374 Batch=1019, step=23820, lr=0.101000, batch loss=0.007364, epoch loss=0.200738 Batch=1079, step=23880, lr=0.100750, batch loss=0.001209, epoch loss=0.201947 Batch=1139, step=23940, lr=0.100500, batch loss=0.008298, epoch loss=0.210245 Batch=1199, step=24000, lr=0.100250, batch loss=0.004276, epoch loss=0.214522 Epoch=19, step=24000, lr=0.100250, epoch loss=0.214522 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%.........**************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######***********............%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##*******.....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:35.11 ---> saved as "89c44ef61bbaf93d97074fe10199db7b469586718f3d271ec7a133b8eeffbf31" Job succeeded 2025-03-20 22:35.12: Job succeeded