2025-04-07 01:09.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (463c57039dce5e7ebd23e4739665cbc647a282e4) (linux-x86_64:ubuntu-24.04-5.3_opam-2.3) Base: ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 463c5703 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667 # ubuntu-24.04-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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 2025-04-07 01:09.40: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667-ubuntu-24.04-5.3_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04" 2025-04-07 01:09.40: Using OBuilder spec: ((from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) (comment ubuntu-24.04-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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")) ) 2025-04-07 01:09.40: Waiting for resource in pool OCluster 2025-04-07 01:09.40: Waiting for worker… 2025-04-07 01:09.40: Got resource from pool OCluster Building on clete.caelum.ci.dev All commits already cached HEAD is now at 463c5703 Fix ppx_minidebug version, update cudajit version (from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) 2025-04-07 01:10.26 ---> saved as "06e5d68c33d07ab80561193cb9f567604be8657f4b8b2bd2350d9ec652b4b76c" /: (comment ubuntu-24.04-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-04-07 01:10.26 ---> saved as "4ba640804fd0c313d80c46d7ebb2f0c45a6a2eb022d24aeae0e9f67320311f6c" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. Continue? [y/n] y 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. [NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=255 --global 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 2025-04-07 01:11.37 ---> saved as "817c358501a2607fadc6719ecbafb475a48c910f209ff3da9e21aaa855325614" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-04-07 01:11.37 ---> saved as "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-04-07 01:11.37 ---> saved as "5db640b718b7589bfd0e01928944cc167286bc3fb99a3d4166082413d7a743af" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..598efb46ec master -> origin/master 598efb46ec Merge pull request #27716 from avsm/fix-mpopcnt <><> 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) 2025-04-07 01:13.03 ---> saved as "0b192bf72c3d5643e0f2a907c05f6b9f48ca6159b7d899b546f0b1d46be3fc87" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-04-07 01:13.03 ---> saved as "bc6745b8a13da3f695fa0c96ff8d403e21151da06f574227aaecf340ff6ed59e" /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) 2025-04-07 01:13.09 ---> saved as "99af8a77e5a05f665bbd46e0e207d6696f7ca683cbcfd63817a67a7ed8cc33cd" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-04-07 01:13.09 ---> saved as "8222d85b44fe654ed4d48eb72327679931dcf482e1953eda10d56876e11f7866" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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" - Hit:1 http://archive.ubuntu.com/ubuntu noble InRelease - Get:2 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB] - Get:3 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB] - Get:4 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1252 kB] - Get:5 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1364 kB] - Get:6 http://archive.ubuntu.com/ubuntu noble-updates/multiverse amd64 Packages [26.4 kB] - Get:7 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [1126 kB] - Get:8 http://archive.ubuntu.com/ubuntu noble-backports/universe amd64 Packages [30.9 kB] - Get:9 http://archive.ubuntu.com/ubuntu noble-backports/main amd64 Packages [48.0 kB] - Get:10 http://security.ubuntu.com/ubuntu noble-security InRelease [126 kB] - Get:11 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1070 kB] - Get:12 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [1074 kB] - Get:13 http://security.ubuntu.com/ubuntu noble-security/multiverse amd64 Packages [21.9 kB] - Get:14 http://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [928 kB] - Fetched 7320 kB in 9s (789 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libpkgconf3:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 16365 files and directories currently installed.) - Preparing to unpack .../libpkgconf3_1.8.1-2build1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-2build1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-2build1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-2build1) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../libffi-dev_3.4.6-1build1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libpkgconf3:amd64 (1.8.1-2build1) ... - Setting up pkgconf-bin (1.8.1-2build1) ... - Setting up pkgconf:amd64 (1.8.1-2build1) ... - Setting up pkg-config:amd64 (1.8.1-2build1) ... - Processing triggers for libc-bin (2.39-0ubuntu8.4) ... 2025-04-07 01:13.48 ---> saved as "cb199c0b9ea76db1ffcd84c48006d539148258983d73169cb29751fc229956d0" /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 74 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - 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 3.18.0 - install dune-configurator 3.18.0 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - 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-version 4.0.0 - 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 2.2.0 - 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 result 1.5 - 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 thread-local-storage 0.2 - 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 astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> installed conf-pkg-config.4 -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved csexp.1.5.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (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-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved dune.3.18.0, dune-configurator.3.18.0 (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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (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 result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed uutf.1.0.4 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed backoff.0.1.1 -> installed csexp.1.5.2 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.18.0 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed ctypes-foreign.0.23.0 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> 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_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-04-07 01:18.05 ---> saved as "564ed45875325cbbf62dd565208e7d189ef70e95e0035b173c5b8991d0fc391d" /src: (copy (src .) (dst /src)) 2025-04-07 01:18.06 ---> saved as "07e556b5ea3637d7bdbacbdc5d39f346c0f86829ad84342000fe0eb425759b60" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (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/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/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test && .tutorials.inline-tests/inline-test-runner.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/06290b2103e6f01220ddf38ba91a17d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a23e738fa68ad3979e5b73fe1725c0c/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test && .tutorials.inline-tests/inline-test-runner.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/06290b2103e6f01220ddf38ba91a17d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test && .tutorials.inline-tests/inline-test-runner.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/06290b2103e6f01220ddf38ba91a17d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/06290b2103e6f01220ddf38ba91a17d2/default/test && .tutorials.inline-tests/inline-test-runner.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/06290b2103e6f01220ddf38ba91a17d2/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=0.199250, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.198750, batch loss=1.448342, epoch loss=37.064827 Batch=359, step=360, lr=0.198750, batch loss=1.333968, epoch loss=38.398795 Batch=419, step=420, lr=0.198250, batch loss=0.616298, epoch loss=39.015092 Batch=479, step=480, lr=0.198250, batch loss=0.809074, epoch loss=39.824166 Batch=539, step=540, lr=0.197750, batch loss=0.712879, epoch loss=40.537045 Batch=599, step=600, lr=0.197750, batch loss=1.065420, epoch loss=41.602465 Batch=659, step=660, lr=0.197500, batch loss=0.483106, epoch loss=42.085571 Batch=719, step=720, lr=0.197000, batch loss=0.411266, epoch loss=42.496837 Batch=779, step=780, lr=0.197000, batch loss=0.469075, epoch loss=42.965911 Batch=839, step=840, lr=0.196750, batch loss=0.443499, epoch loss=43.409410 Batch=899, step=900, lr=0.196500, batch loss=0.384173, epoch loss=43.793583 Batch=959, step=960, lr=0.196250, batch loss=0.238601, epoch loss=44.032184 Batch=1019, step=1020, lr=0.196000, batch loss=0.440836, epoch loss=44.473019 Batch=1079, step=1080, lr=0.195750, batch loss=0.225565, epoch loss=44.698585 Batch=1139, step=1140, lr=0.195500, batch loss=0.315990, epoch loss=45.014574 Batch=1199, step=1200, lr=0.195250, batch loss=0.263460, epoch loss=45.278034 Epoch=0, step=1200, lr=0.195250, epoch loss=45.278034 Batch=59, step=1260, lr=0.195000, batch loss=0.262473, epoch loss=0.262473 Batch=119, step=1320, lr=0.194750, batch loss=0.205844, epoch loss=0.468317 Batch=179, step=1380, lr=0.194500, batch loss=0.243089, epoch loss=0.711405 Batch=239, step=1440, lr=0.194250, batch loss=0.345722, epoch loss=1.057127 Batch=299, step=1500, lr=0.194000, batch loss=0.239207, epoch loss=1.296333 Batch=359, step=1560, lr=0.193750, batch loss=0.311581, epoch loss=1.607915 Batch=419, step=1620, lr=0.193500, batch loss=0.308823, epoch loss=1.916738 Batch=479, step=1680, lr=0.193250, batch loss=0.273740, epoch loss=2.190477 Batch=539, step=1740, lr=0.193000, batch loss=0.212377, epoch loss=2.402854 Batch=599, step=1800, lr=0.192750, batch loss=0.254557, epoch loss=2.657411 Batch=659, step=1860, lr=0.192500, batch loss=0.374810, epoch loss=3.032221 Batch=719, step=1920, lr=0.192250, batch loss=0.358529, epoch loss=3.390749 Batch=779, step=1980, lr=0.192000, batch loss=0.386143, epoch loss=3.776893 Batch=839, step=2040, lr=0.191750, batch loss=0.348677, epoch loss=4.125570 Batch=899, step=2100, lr=0.191500, batch loss=0.327078, epoch loss=4.452648 Batch=959, step=2160, lr=0.191250, batch loss=0.253942, epoch loss=4.706589 Batch=1019, step=2220, lr=0.191000, batch loss=0.398117, epoch loss=5.104707 Batch=1079, step=2280, lr=0.190750, batch loss=0.243376, epoch loss=5.348082 Batch=1139, step=2340, lr=0.190500, batch loss=0.286514, epoch loss=5.634597 Batch=1199, step=2400, lr=0.190250, batch loss=0.219182, epoch loss=5.853779 Epoch=1, step=2400, lr=0.190250, epoch loss=5.853779 Batch=59, step=2460, lr=0.190000, batch loss=0.231590, epoch loss=0.231590 Batch=119, step=2520, lr=0.189750, batch loss=0.186994, epoch loss=0.418584 Batch=179, step=2580, lr=0.189500, batch loss=0.223684, epoch loss=0.642267 Batch=239, step=2640, lr=0.189250, batch loss=0.339841, epoch loss=0.982108 Batch=299, step=2700, lr=0.189000, batch loss=0.211523, epoch loss=1.193631 Batch=359, step=2760, lr=0.188750, batch loss=0.296625, epoch loss=1.490255 Batch=419, step=2820, lr=0.188500, batch loss=0.282388, epoch loss=1.772643 Batch=479, step=2880, lr=0.188250, batch loss=0.258250, epoch loss=2.030893 Batch=539, step=2940, lr=0.188000, batch loss=0.198166, epoch loss=2.229059 Batch=599, step=3000, lr=0.187500, batch loss=0.238627, epoch loss=2.467686 Batch=659, step=3060, lr=0.187500, batch loss=0.343202, epoch loss=2.810888 Batch=719, step=3120, lr=0.187250, batch loss=0.335327, epoch loss=3.146215 Batch=779, step=3180, lr=0.187000, batch loss=0.353019, epoch loss=3.499234 Batch=839, step=3240, lr=0.186750, batch loss=0.322995, epoch loss=3.822229 Batch=899, step=3300, lr=0.186500, batch loss=0.279677, epoch loss=4.101906 Batch=959, step=3360, lr=0.186250, batch loss=0.205266, epoch loss=4.307173 Batch=1019, step=3420, lr=0.186000, batch loss=0.318424, epoch loss=4.625597 Batch=1079, step=3480, lr=0.185750, batch loss=0.190099, epoch loss=4.815696 Batch=1139, step=3540, lr=0.185500, batch loss=0.233549, epoch loss=5.049245 Batch=1199, step=3600, lr=0.185250, batch loss=0.199766, epoch loss=5.249011 Epoch=2, step=3600, lr=0.185250, epoch loss=5.249011 Batch=59, step=3660, lr=0.185000, batch loss=0.237482, epoch loss=0.237482 Batch=119, step=3720, lr=0.184750, batch loss=0.197824, epoch loss=0.435306 Batch=179, step=3780, lr=0.184500, batch loss=0.212568, epoch loss=0.647874 Batch=239, step=3840, lr=0.184250, batch loss=0.319446, epoch loss=0.967320 Batch=299, step=3900, lr=0.184000, batch loss=0.206971, epoch loss=1.174292 Batch=359, step=3960, lr=0.183750, batch loss=0.289630, epoch loss=1.463922 Batch=419, step=4020, lr=0.183500, batch loss=0.290561, epoch loss=1.754483 Batch=479, step=4080, lr=0.183250, batch loss=0.258820, epoch loss=2.013303 Batch=539, step=4140, lr=0.183000, batch loss=0.196004, epoch loss=2.209307 Batch=599, step=4200, lr=0.182750, batch loss=0.243349, epoch loss=2.452656 Batch=659, step=4260, lr=0.182500, batch loss=0.328340, epoch loss=2.780995 Batch=719, step=4320, lr=0.182250, batch loss=0.329563, epoch loss=3.110559 Batch=779, step=4380, lr=0.182000, batch loss=0.350417, epoch loss=3.460975 Batch=839, step=4440, lr=0.181750, batch loss=0.320216, epoch loss=3.781191 Batch=899, step=4500, lr=0.181500, batch loss=0.290480, epoch loss=4.071672 Batch=959, step=4560, lr=0.181250, batch loss=0.244083, epoch loss=4.315755 Batch=1019, step=4620, lr=0.181000, batch loss=0.337196, epoch loss=4.652951 Batch=1079, step=4680, lr=0.180750, batch loss=0.201806, epoch loss=4.854756 Batch=1139, step=4740, lr=0.180500, batch loss=0.242131, epoch loss=5.096887 Batch=1199, step=4800, lr=0.180250, batch loss=0.192831, epoch loss=5.289718 Epoch=3, step=4800, lr=0.180250, epoch loss=5.289718 Batch=59, step=4860, lr=0.180000, batch loss=0.229621, epoch loss=0.229621 Batch=119, step=4920, lr=0.179750, batch loss=0.188232, epoch loss=0.417854 Batch=179, step=4980, lr=0.179500, batch loss=0.206431, epoch loss=0.624284 Batch=239, step=5040, lr=0.179250, batch loss=0.310453, epoch loss=0.934738 Batch=299, step=5100, lr=0.179000, batch loss=0.212115, epoch loss=1.146853 Batch=359, step=5160, lr=0.178750, batch loss=0.282573, epoch loss=1.429426 Batch=419, step=5220, lr=0.178500, batch loss=0.278445, epoch loss=1.707871 Batch=479, step=5280, lr=0.178250, batch loss=0.250456, epoch loss=1.958327 Batch=539, step=5340, lr=0.178000, batch loss=0.195304, epoch loss=2.153631 Batch=599, step=5400, lr=0.177750, batch loss=0.234561, epoch loss=2.388192 Batch=659, step=5460, lr=0.177500, batch loss=0.322110, epoch loss=2.710301 Batch=719, step=5520, lr=0.177250, batch loss=0.323928, epoch loss=3.034229 Batch=779, step=5580, lr=0.177000, batch loss=0.342082, epoch loss=3.376311 Batch=839, step=5640, lr=0.176750, batch loss=0.311777, epoch loss=3.688088 Batch=899, step=5700, lr=0.176500, batch loss=0.270356, epoch loss=3.958444 Batch=959, step=5760, lr=0.176250, batch loss=0.218531, epoch loss=4.176975 Batch=1019, step=5820, lr=0.176000, batch loss=0.330812, epoch loss=4.507787 Batch=1079, step=5880, lr=0.175750, batch loss=0.182410, epoch loss=4.690197 Batch=1139, step=5940, lr=0.175500, batch loss=0.218348, epoch loss=4.908545 Batch=1199, step=6000, lr=0.175250, batch loss=0.200158, epoch loss=5.108703 Epoch=4, step=6000, lr=0.175250, epoch loss=5.108703 Batch=59, step=6060, lr=0.175000, batch loss=0.242894, epoch loss=0.242894 Batch=119, step=6120, lr=0.174750, batch loss=0.188385, epoch loss=0.431279 Batch=179, step=6180, lr=0.174500, batch loss=0.201148, epoch loss=0.632427 Batch=239, step=6240, lr=0.174250, batch loss=0.300284, epoch loss=0.932712 Batch=299, step=6300, lr=0.174000, batch loss=0.206690, epoch loss=1.139402 Batch=359, step=6360, lr=0.173750, batch loss=0.267740, epoch loss=1.407142 Batch=419, step=6420, lr=0.173500, batch loss=0.266922, epoch loss=1.674064 Batch=479, step=6480, lr=0.173250, batch loss=0.243085, epoch loss=1.917149 Batch=539, step=6540, lr=0.173000, batch loss=0.194454, epoch loss=2.111603 Batch=599, step=6600, lr=0.172750, batch loss=0.234535, epoch loss=2.346138 Batch=659, step=6660, lr=0.172500, batch loss=0.313202, epoch loss=2.659340 Batch=719, step=6720, lr=0.172250, batch loss=0.317596, epoch loss=2.976936 Batch=779, step=6780, lr=0.172000, batch loss=0.330302, epoch loss=3.307238 Batch=839, step=6840, lr=0.171750, batch loss=0.302868, epoch loss=3.610106 Batch=899, step=6900, lr=0.171500, batch loss=0.269729, epoch loss=3.879835 Batch=959, step=6960, lr=0.171250, batch loss=0.207051, epoch loss=4.086886 Batch=1019, step=7020, lr=0.171000, batch loss=0.328397, epoch loss=4.415283 Batch=1079, step=7080, lr=0.170750, batch loss=0.174012, epoch loss=4.589295 Batch=1139, step=7140, lr=0.170500, batch loss=0.213524, epoch loss=4.802819 Batch=1199, step=7200, lr=0.170250, batch loss=0.183238, epoch loss=4.986057 Epoch=5, step=7200, lr=0.170250, epoch loss=4.986057 Batch=59, step=7260, lr=0.170000, batch loss=0.235298, epoch loss=0.235298 Batch=119, step=7320, lr=0.169750, batch loss=0.182912, epoch loss=0.418210 Batch=179, step=7380, lr=0.169500, batch loss=0.195538, epoch loss=0.613749 Batch=239, step=7440, lr=0.169250, batch loss=0.291887, epoch loss=0.905635 Batch=299, step=7500, lr=0.169000, batch loss=0.208508, epoch loss=1.114143 Batch=359, step=7560, lr=0.168750, batch loss=0.261881, epoch loss=1.376025 Batch=419, step=7620, lr=0.168500, batch loss=0.255731, epoch loss=1.631756 Batch=479, step=7680, lr=0.168250, batch loss=0.239319, epoch loss=1.871075 Batch=539, step=7740, lr=0.168000, batch loss=0.185784, epoch loss=2.056859 Batch=599, step=7800, lr=0.167750, batch loss=0.225463, epoch loss=2.282322 Batch=659, step=7860, lr=0.167500, batch loss=0.304734, epoch loss=2.587055 Batch=719, step=7920, lr=0.167000, batch loss=0.309959, epoch loss=2.897014 Batch=779, step=7980, lr=0.167000, batch loss=0.325656, epoch loss=3.222670 Batch=839, step=8040, lr=0.166750, batch loss=0.296174, epoch loss=3.518844 Batch=899, step=8100, lr=0.166500, batch loss=0.260613, epoch loss=3.779457 Batch=959, step=8160, lr=0.166250, batch loss=0.206179, epoch loss=3.985637 Batch=1019, step=8220, lr=0.166000, batch loss=0.320625, epoch loss=4.306261 Batch=1079, step=8280, lr=0.165750, batch loss=0.167421, epoch loss=4.473683 Batch=1139, step=8340, lr=0.165500, batch loss=0.205895, epoch loss=4.679578 Batch=1199, step=8400, lr=0.165250, batch loss=0.177069, epoch loss=4.856647 Epoch=6, step=8400, lr=0.165250, epoch loss=4.856647 Batch=59, step=8460, lr=0.164750, batch loss=0.224261, epoch loss=0.224261 Batch=119, step=8520, lr=0.164750, batch loss=0.178654, epoch loss=0.402916 Batch=179, step=8580, lr=0.164500, batch loss=0.187917, epoch loss=0.590832 Batch=239, step=8640, lr=0.164000, batch loss=0.277586, epoch loss=0.868418 Batch=299, step=8700, lr=0.163750, batch loss=0.185567, epoch loss=1.053985 Batch=359, step=8760, lr=0.163750, batch loss=0.246193, epoch loss=1.300178 Batch=419, step=8820, lr=0.163500, batch loss=0.242293, epoch loss=1.542472 Batch=479, step=8880, lr=0.163250, batch loss=0.218993, epoch loss=1.761465 Batch=539, step=8940, lr=0.163000, batch loss=0.176521, epoch loss=1.937986 Batch=599, step=9000, lr=0.162750, batch loss=0.213007, epoch loss=2.150993 Batch=659, step=9060, lr=0.162250, batch loss=0.296606, epoch loss=2.447600 Batch=719, step=9120, lr=0.162250, batch loss=0.291835, epoch loss=2.739435 Batch=779, step=9180, lr=0.161750, batch loss=0.309735, epoch loss=3.049171 Batch=839, step=9240, lr=0.161750, batch loss=0.285140, epoch loss=3.334310 Batch=899, step=9300, lr=0.161500, batch loss=0.249810, epoch loss=3.584120 Batch=959, step=9360, lr=0.161000, batch loss=0.193478, epoch loss=3.777599 Batch=1019, step=9420, lr=0.160750, batch loss=0.312140, epoch loss=4.089739 Batch=1079, step=9480, lr=0.160750, batch loss=0.192838, epoch loss=4.282577 Batch=1139, step=9540, lr=0.160500, batch loss=0.209741, epoch loss=4.492318 Batch=1199, step=9600, lr=0.160250, batch loss=0.167040, epoch loss=4.659358 Epoch=7, step=9600, lr=0.160250, epoch loss=4.659358 Batch=59, step=9660, lr=0.160000, batch loss=0.200414, epoch loss=0.200414 Batch=119, step=9720, lr=0.159750, batch loss=0.163977, epoch loss=0.364392 Batch=179, step=9780, lr=0.159500, batch loss=0.179549, epoch loss=0.543941 Batch=239, step=9840, lr=0.159250, batch loss=0.261243, epoch loss=0.805184 Batch=299, step=9900, lr=0.159000, batch loss=0.181811, epoch loss=0.986995 Batch=359, step=9960, lr=0.158750, batch loss=0.245575, epoch loss=1.232570 Batch=419, step=10020, lr=0.158500, batch loss=0.244759, epoch loss=1.477329 Batch=479, step=10080, lr=0.158250, batch loss=0.223119, epoch loss=1.700448 Batch=539, step=10140, lr=0.158000, batch loss=0.166030, epoch loss=1.866479 Batch=599, step=10200, lr=0.157750, batch loss=0.198355, epoch loss=2.064833 Batch=659, step=10260, lr=0.157500, batch loss=0.282838, epoch loss=2.347672 Batch=719, step=10320, lr=0.157250, batch loss=0.276435, epoch loss=2.624107 Batch=779, step=10380, lr=0.157000, batch loss=0.296556, epoch loss=2.920663 Batch=839, step=10440, lr=0.156750, batch loss=0.271001, epoch loss=3.191664 Batch=899, step=10500, lr=0.156250, batch loss=0.238125, epoch loss=3.429790 Batch=959, step=10560, lr=0.156250, batch loss=0.177257, epoch loss=3.607047 Batch=1019, step=10620, lr=0.156000, batch loss=0.299659, epoch loss=3.906706 Batch=1079, step=10680, lr=0.155750, batch loss=0.179986, epoch loss=4.086692 Batch=1139, step=10740, lr=0.155500, batch loss=0.194968, epoch loss=4.281660 Batch=1199, step=10800, lr=0.155250, batch loss=0.156838, epoch loss=4.438498 Epoch=8, step=10800, lr=0.155250, epoch loss=4.438498 Batch=59, step=10860, lr=0.155000, batch loss=0.187170, epoch loss=0.187170 Batch=119, step=10920, lr=0.154750, batch loss=0.152462, epoch loss=0.339632 Batch=179, step=10980, lr=0.154500, batch loss=0.166884, epoch loss=0.506517 Batch=239, step=11040, lr=0.154250, batch loss=0.242821, epoch loss=0.749338 Batch=299, step=11100, lr=0.154000, batch loss=0.171866, epoch loss=0.921204 Batch=359, step=11160, lr=0.153750, batch loss=0.220078, epoch loss=1.141282 Batch=419, step=11220, lr=0.153500, batch loss=0.217557, epoch loss=1.358840 Batch=479, step=11280, lr=0.153250, batch loss=0.213168, epoch loss=1.572007 Batch=539, step=11340, lr=0.153000, batch loss=0.171083, epoch loss=1.743090 Batch=599, step=11400, lr=0.152750, batch loss=0.175724, epoch loss=1.918814 Batch=659, step=11460, lr=0.152250, batch loss=0.262821, epoch loss=2.181635 Batch=719, step=11520, lr=0.152250, batch loss=0.263247, epoch loss=2.444883 Batch=779, step=11580, lr=0.152000, batch loss=0.272738, epoch loss=2.717621 Batch=839, step=11640, lr=0.151500, batch loss=0.251385, epoch loss=2.969006 Batch=899, step=11700, lr=0.151500, batch loss=0.219684, epoch loss=3.188690 Batch=959, step=11760, lr=0.151250, batch loss=0.183440, epoch loss=3.372130 Batch=1019, step=11820, lr=0.151000, batch loss=0.279961, epoch loss=3.652091 Batch=1079, step=11880, lr=0.150750, batch loss=0.158201, epoch loss=3.810292 Batch=1139, step=11940, lr=0.150500, batch loss=0.191274, epoch loss=4.001566 Batch=1199, step=12000, lr=0.150250, batch loss=0.141029, epoch loss=4.142595 Epoch=9, step=12000, lr=0.150250, epoch loss=4.142595 Batch=59, step=12060, lr=0.150000, batch loss=0.162687, epoch loss=0.162687 Batch=119, step=12120, lr=0.149750, batch loss=0.137590, epoch loss=0.300277 Batch=179, step=12180, lr=0.149500, batch loss=0.151869, epoch loss=0.452146 Batch=239, step=12240, lr=0.149250, batch loss=0.220331, epoch loss=0.672478 Batch=299, step=12300, lr=0.149000, batch loss=0.145347, epoch loss=0.817825 Batch=359, step=12360, lr=0.148750, batch loss=0.194008, epoch loss=1.011832 Batch=419, step=12420, lr=0.148500, batch loss=0.195175, epoch loss=1.207007 Batch=479, step=12480, lr=0.148250, batch loss=0.183796, epoch loss=1.390803 Batch=539, step=12540, lr=0.148000, batch loss=0.142123, epoch loss=1.532926 Batch=599, step=12600, lr=0.147750, batch loss=0.154114, epoch loss=1.687040 Batch=659, step=12660, lr=0.147500, batch loss=0.237904, epoch loss=1.924944 Batch=719, step=12720, lr=0.147250, batch loss=0.234226, epoch loss=2.159169 Batch=779, step=12780, lr=0.147000, batch loss=0.258304, epoch loss=2.417474 Batch=839, step=12840, lr=0.146750, batch loss=0.232278, epoch loss=2.649752 Batch=899, step=12900, lr=0.146500, batch loss=0.193292, epoch loss=2.843044 Batch=959, step=12960, lr=0.146250, batch loss=0.169187, epoch loss=3.012231 Batch=1019, step=13020, lr=0.146000, batch loss=0.270039, epoch loss=3.282270 Batch=1079, step=13080, lr=0.145750, batch loss=0.116187, epoch loss=3.398457 Batch=1139, step=13140, lr=0.145500, batch loss=0.150464, epoch loss=3.548920 Batch=1199, step=13200, lr=0.145250, batch loss=0.118541, epoch loss=3.667461 Epoch=10, step=13200, lr=0.145250, epoch loss=3.667461 Batch=59, step=13260, lr=0.145000, batch loss=0.141519, epoch loss=0.141519 Batch=119, step=13320, lr=0.144750, batch loss=0.123807, epoch loss=0.265326 Batch=179, step=13380, lr=0.144500, batch loss=0.131480, epoch loss=0.396806 Batch=239, step=13440, lr=0.144250, batch loss=0.195816, epoch loss=0.592622 Batch=299, step=13500, lr=0.144000, batch loss=0.119995, epoch loss=0.712618 Batch=359, step=13560, lr=0.143750, batch loss=0.169067, epoch loss=0.881684 Batch=419, step=13620, lr=0.143500, batch loss=0.183865, epoch loss=1.065549 Batch=479, step=13680, lr=0.143250, batch loss=0.140239, epoch loss=1.205789 Batch=539, step=13740, lr=0.143000, batch loss=0.119512, epoch loss=1.325300 Batch=599, step=13800, lr=0.142750, batch loss=0.122589, epoch loss=1.447890 Batch=659, step=13860, lr=0.142500, batch loss=0.181088, epoch loss=1.628978 Batch=719, step=13920, lr=0.142250, batch loss=0.177242, epoch loss=1.806219 Batch=779, step=13980, lr=0.142000, batch loss=0.194776, epoch loss=2.000995 Batch=839, step=14040, lr=0.141750, batch loss=0.193204, epoch loss=2.194199 Batch=899, step=14100, lr=0.141500, batch loss=0.177239, epoch loss=2.371438 Batch=959, step=14160, lr=0.141250, batch loss=0.143201, epoch loss=2.514638 Batch=1019, step=14220, lr=0.141000, batch loss=0.274111, epoch loss=2.788750 Batch=1079, step=14280, lr=0.140750, batch loss=0.077973, epoch loss=2.866723 Batch=1139, step=14340, lr=0.140500, batch loss=0.124482, epoch loss=2.991205 Batch=1199, step=14400, lr=0.140250, batch loss=0.091082, epoch loss=3.082288 Epoch=11, step=14400, lr=0.140250, epoch loss=3.082288 Batch=59, step=14460, lr=0.140000, batch loss=0.118585, epoch loss=0.118585 Batch=119, step=14520, lr=0.139750, batch loss=0.109880, epoch loss=0.228465 Batch=179, step=14580, lr=0.139500, batch loss=0.106454, epoch loss=0.334919 Batch=239, step=14640, lr=0.139000, batch loss=0.143899, epoch loss=0.478818 Batch=299, step=14700, lr=0.139000, batch loss=0.083296, epoch loss=0.562114 Batch=359, step=14760, lr=0.138750, batch loss=0.123981, epoch loss=0.686095 Batch=419, step=14820, lr=0.138500, batch loss=0.129525, epoch loss=0.815620 Batch=479, step=14880, lr=0.138000, batch loss=0.107854, epoch loss=0.923474 Batch=539, step=14940, lr=0.138000, batch loss=0.103681, epoch loss=1.027155 Batch=599, step=15000, lr=0.137750, batch loss=0.087198, epoch loss=1.114353 Batch=659, step=15060, lr=0.137250, batch loss=0.130758, epoch loss=1.245111 Batch=719, step=15120, lr=0.137250, batch loss=0.133451, epoch loss=1.378561 Batch=779, step=15180, lr=0.137000, batch loss=0.153427, epoch loss=1.531988 Batch=839, step=15240, lr=0.136750, batch loss=0.175590, epoch loss=1.707578 Batch=899, step=15300, lr=0.136500, batch loss=0.276213, epoch loss=1.983791 Batch=959, step=15360, lr=0.136250, batch loss=0.064575, epoch loss=2.048366 Batch=1019, step=15420, lr=0.135750, batch loss=0.135203, epoch loss=2.183569 Batch=1079, step=15480, lr=0.135750, batch loss=0.046649, epoch loss=2.230219 Batch=1139, step=15540, lr=0.135250, batch loss=0.101999, epoch loss=2.332218 Batch=1199, step=15600, lr=0.135250, batch loss=0.061292, epoch loss=2.393509 Epoch=12, step=15600, lr=0.135250, epoch loss=2.393509 Batch=59, step=15660, lr=0.135000, batch loss=0.091351, epoch loss=0.091351 Batch=119, step=15720, lr=0.134750, batch loss=0.135934, epoch loss=0.227285 Batch=179, step=15780, lr=0.134500, batch loss=0.100005, epoch loss=0.327291 Batch=239, step=15840, lr=0.134250, batch loss=0.101527, epoch loss=0.428817 Batch=299, step=15900, lr=0.134000, batch loss=0.047176, epoch loss=0.475994 Batch=359, step=15960, lr=0.133750, batch loss=0.084147, epoch loss=0.560141 Batch=419, step=16020, lr=0.133500, batch loss=0.081865, epoch loss=0.642006 Batch=479, step=16080, lr=0.133250, batch loss=0.063532, epoch loss=0.705539 Batch=539, step=16140, lr=0.133000, batch loss=0.060600, epoch loss=0.766139 Batch=599, step=16200, lr=0.132750, batch loss=0.139713, epoch loss=0.905852 Batch=659, step=16260, lr=0.132500, batch loss=0.087609, epoch loss=0.993461 Batch=719, step=16320, lr=0.132250, batch loss=0.126963, epoch loss=1.120424 Batch=779, step=16380, lr=0.132000, batch loss=0.265134, epoch loss=1.385558 Batch=839, step=16440, lr=0.131750, batch loss=0.091525, epoch loss=1.477082 Batch=899, step=16500, lr=0.131500, batch loss=0.075121, epoch loss=1.552203 Batch=959, step=16560, lr=0.131250, batch loss=0.035399, epoch loss=1.587602 Batch=1019, step=16620, lr=0.131000, batch loss=0.087651, epoch loss=1.675254 Batch=1079, step=16680, lr=0.130750, batch loss=0.034982, epoch loss=1.710235 Batch=1139, step=16740, lr=0.130500, batch loss=0.074161, epoch loss=1.784396 Batch=1199, step=16800, lr=0.130250, batch loss=0.035869, epoch loss=1.820265 Epoch=13, step=16800, lr=0.130250, epoch loss=1.820265 Batch=59, step=16860, lr=0.130000, batch loss=0.038579, epoch loss=0.038579 Batch=119, step=16920, lr=0.129750, batch loss=0.040564, epoch loss=0.079143 Batch=179, step=16980, lr=0.129500, batch loss=0.045170, epoch loss=0.124313 Batch=239, step=17040, lr=0.129250, batch loss=0.060467, epoch loss=0.184780 Batch=299, step=17100, lr=0.129000, batch loss=0.026666, epoch loss=0.211446 Batch=359, step=17160, lr=0.128750, batch loss=0.055340, epoch loss=0.266786 Batch=419, step=17220, lr=0.128500, batch loss=0.099370, epoch loss=0.366156 Batch=479, step=17280, lr=0.128000, batch loss=0.025107, epoch loss=0.391263 Batch=539, step=17340, lr=0.128000, batch loss=0.028337, epoch loss=0.419600 Batch=599, step=17400, lr=0.127750, batch loss=0.041405, epoch loss=0.461005 Batch=659, step=17460, lr=0.127500, batch loss=0.054060, epoch loss=0.515065 Batch=719, step=17520, lr=0.127250, batch loss=0.059681, epoch loss=0.574746 Batch=779, step=17580, lr=0.127000, batch loss=0.062423, epoch loss=0.637168 Batch=839, step=17640, lr=0.126750, batch loss=0.102840, epoch loss=0.740009 Batch=899, step=17700, lr=0.126500, batch loss=0.050487, epoch loss=0.790495 Batch=959, step=17760, lr=0.126250, batch loss=0.021624, epoch loss=0.812119 Batch=1019, step=17820, lr=0.126000, batch loss=0.053955, epoch loss=0.866074 Batch=1079, step=17880, lr=0.125750, batch loss=0.048382, epoch loss=0.914456 Batch=1139, step=17940, lr=0.125500, batch loss=0.104538, epoch loss=1.018994 Batch=1199, step=18000, lr=0.125250, batch loss=0.024016, epoch loss=1.043010 Epoch=14, step=18000, lr=0.125250, epoch loss=1.043010 Batch=59, step=18060, lr=0.125000, batch loss=0.018342, epoch loss=0.018342 Batch=119, step=18120, lr=0.124750, batch loss=0.020941, epoch loss=0.039283 Batch=179, step=18180, lr=0.124500, batch loss=0.032178, epoch loss=0.071461 Batch=239, step=18240, lr=0.124250, batch loss=0.040424, epoch loss=0.111885 Batch=299, step=18300, lr=0.124000, batch loss=0.009360, epoch loss=0.121245 Batch=359, step=18360, lr=0.123750, batch loss=0.028338, epoch loss=0.149583 Batch=419, step=18420, lr=0.123500, batch loss=0.034685, epoch loss=0.184268 Batch=479, step=18480, lr=0.123250, batch loss=0.017174, epoch loss=0.201442 Batch=539, step=18540, lr=0.123000, batch loss=0.022064, epoch loss=0.223506 Batch=599, step=18600, lr=0.122750, batch loss=0.026806, epoch loss=0.250313 Batch=659, step=18660, lr=0.122500, batch loss=0.028343, epoch loss=0.278655 Batch=719, step=18720, lr=0.122250, batch loss=0.040559, epoch loss=0.319214 Batch=779, step=18780, lr=0.122000, batch loss=0.096885, epoch loss=0.416099 Batch=839, step=18840, lr=0.121750, batch loss=0.063158, epoch loss=0.479256 Batch=899, step=18900, lr=0.121500, batch loss=0.089387, epoch loss=0.568643 Batch=959, step=18960, lr=0.121250, batch loss=0.017959, epoch loss=0.586602 Batch=1019, step=19020, lr=0.121000, batch loss=0.032043, epoch loss=0.618645 Batch=1079, step=19080, lr=0.120750, batch loss=0.006710, epoch loss=0.625355 Batch=1139, step=19140, lr=0.120500, batch loss=0.026038, epoch loss=0.651393 Batch=1199, step=19200, lr=0.120250, batch loss=0.011977, epoch loss=0.663370 Epoch=15, step=19200, lr=0.120250, epoch loss=0.663370 Batch=59, step=19260, lr=0.120000, batch loss=0.006365, epoch loss=0.006365 Batch=119, step=19320, lr=0.119750, batch loss=0.013788, epoch loss=0.020153 Batch=179, step=19380, lr=0.119500, batch loss=0.034279, epoch loss=0.054432 Batch=239, step=19440, lr=0.119250, batch loss=0.023985, epoch loss=0.078417 Batch=299, step=19500, lr=0.119000, batch loss=0.006403, epoch loss=0.084820 Batch=359, step=19560, lr=0.118750, batch loss=0.016765, epoch loss=0.101585 Batch=419, step=19620, lr=0.118500, batch loss=0.020627, epoch loss=0.122212 Batch=479, step=19680, lr=0.118250, batch loss=0.006494, epoch loss=0.128705 Batch=539, step=19740, lr=0.118000, batch loss=0.016475, epoch loss=0.145180 Batch=599, step=19800, lr=0.117750, batch loss=0.021423, epoch loss=0.166603 Batch=659, step=19860, lr=0.117500, batch loss=0.017489, epoch loss=0.184092 Batch=719, step=19920, lr=0.117250, batch loss=0.040939, epoch loss=0.225031 Batch=779, step=19980, lr=0.117000, batch loss=0.081935, epoch loss=0.306967 Batch=839, step=20040, lr=0.116750, batch loss=0.032315, epoch loss=0.339282 Batch=899, step=20100, lr=0.116500, batch loss=0.029322, epoch loss=0.368604 Batch=959, step=20160, lr=0.116250, batch loss=0.013170, epoch loss=0.381774 Batch=1019, step=20220, lr=0.116000, batch loss=0.016041, epoch loss=0.397815 Batch=1079, step=20280, lr=0.115750, batch loss=0.001531, epoch loss=0.399346 Batch=1139, step=20340, lr=0.115500, batch loss=0.015050, epoch loss=0.414396 Batch=1199, step=20400, lr=0.115250, batch loss=0.005700, epoch loss=0.420096 Epoch=16, step=20400, lr=0.115250, epoch loss=0.420096 Batch=59, step=20460, lr=0.115000, batch loss=0.003064, epoch loss=0.003064 Batch=119, step=20520, lr=0.114500, batch loss=0.009977, epoch loss=0.013042 Batch=179, step=20580, lr=0.114500, batch loss=0.026619, epoch loss=0.039661 Batch=239, step=20640, lr=0.114250, batch loss=0.014805, epoch loss=0.054466 Batch=299, step=20700, lr=0.114000, batch loss=0.002824, epoch loss=0.057291 Batch=359, step=20760, lr=0.113750, batch loss=0.015272, epoch loss=0.072563 Batch=419, step=20820, lr=0.113500, batch loss=0.015580, epoch loss=0.088142 Batch=479, step=20880, lr=0.113250, batch loss=0.004833, epoch loss=0.092975 Batch=539, step=20940, lr=0.113000, batch loss=0.015950, epoch loss=0.108925 Batch=599, step=21000, lr=0.112750, batch loss=0.019192, epoch loss=0.128117 Batch=659, step=21060, lr=0.112500, batch loss=0.014207, epoch loss=0.142325 Batch=719, step=21120, lr=0.112250, batch loss=0.039828, epoch loss=0.182153 Batch=779, step=21180, lr=0.112000, batch loss=0.075227, epoch loss=0.257379 Batch=839, step=21240, lr=0.111750, batch loss=0.026154, epoch loss=0.283533 Batch=899, step=21300, lr=0.111500, batch loss=0.035330, epoch loss=0.318863 Batch=959, step=21360, lr=0.111250, batch loss=0.009836, epoch loss=0.328700 Batch=1019, step=21420, lr=0.111000, batch loss=0.010206, epoch loss=0.338906 Batch=1079, step=21480, lr=0.110750, batch loss=0.001630, epoch loss=0.340536 Batch=1139, step=21540, lr=0.110500, batch loss=0.012489, epoch loss=0.353025 Batch=1199, step=21600, lr=0.110250, batch loss=0.005057, epoch loss=0.358081 Epoch=17, step=21600, lr=0.110250, epoch loss=0.358081 Batch=59, step=21660, lr=0.110000, batch loss=0.002251, epoch loss=0.002251 Batch=119, step=21720, lr=0.109750, batch loss=0.006300, epoch loss=0.008552 Batch=179, step=21780, lr=0.109500, batch loss=0.013313, epoch loss=0.021865 Batch=239, step=21840, lr=0.109250, batch loss=0.015441, epoch loss=0.037306 Batch=299, step=21900, lr=0.109000, batch loss=0.001951, epoch loss=0.039257 Batch=359, step=21960, lr=0.108750, batch loss=0.011086, epoch loss=0.050344 Batch=419, step=22020, lr=0.108500, batch loss=0.011319, epoch loss=0.061663 Batch=479, step=22080, lr=0.108250, batch loss=0.002676, epoch loss=0.064338 Batch=539, step=22140, lr=0.108000, batch loss=0.017754, epoch loss=0.082092 Batch=599, step=22200, lr=0.107750, batch loss=0.016536, epoch loss=0.098629 Batch=659, step=22260, lr=0.107500, batch loss=0.014300, epoch loss=0.112928 Batch=719, step=22320, lr=0.107250, batch loss=0.030965, epoch loss=0.143893 Batch=779, step=22380, lr=0.107000, batch loss=0.033331, epoch loss=0.177224 Batch=839, step=22440, lr=0.106750, batch loss=0.027304, epoch loss=0.204528 Batch=899, step=22500, lr=0.106500, batch loss=0.025902, epoch loss=0.230430 Batch=959, step=22560, lr=0.106250, batch loss=0.008899, epoch loss=0.239330 Batch=1019, step=22620, lr=0.106000, batch loss=0.009143, epoch loss=0.248473 Batch=1079, step=22680, lr=0.105750, batch loss=0.001272, epoch loss=0.249745 Batch=1139, step=22740, lr=0.105500, batch loss=0.010872, epoch loss=0.260617 Batch=1199, step=22800, lr=0.105250, batch loss=0.004707, epoch loss=0.265324 Epoch=18, step=22800, lr=0.105250, epoch loss=0.265324 Batch=59, step=22860, lr=0.105000, batch loss=0.001831, epoch loss=0.001831 Batch=119, step=22920, lr=0.104750, batch loss=0.005234, epoch loss=0.007065 Batch=179, step=22980, lr=0.104500, batch loss=0.010907, epoch loss=0.017972 Batch=239, step=23040, lr=0.104250, batch loss=0.009491, epoch loss=0.027463 Batch=299, step=23100, lr=0.104000, batch loss=0.011668, epoch loss=0.039131 Batch=359, step=23160, lr=0.103750, batch loss=0.011431, epoch loss=0.050562 Batch=419, step=23220, lr=0.103500, batch loss=0.010831, epoch loss=0.061393 Batch=479, step=23280, lr=0.103250, batch loss=0.002428, epoch loss=0.063820 Batch=539, step=23340, lr=0.103000, batch loss=0.016239, epoch loss=0.080060 Batch=599, step=23400, lr=0.102750, batch loss=0.013393, epoch loss=0.093453 Batch=659, step=23460, lr=0.102500, batch loss=0.011677, epoch loss=0.105130 Batch=719, step=23520, lr=0.102250, batch loss=0.012355, epoch loss=0.117485 Batch=779, step=23580, lr=0.102000, batch loss=0.023818, epoch loss=0.141304 Batch=839, step=23640, lr=0.101750, batch loss=0.027944, epoch loss=0.169248 Batch=899, step=23700, lr=0.101500, batch loss=0.021427, epoch loss=0.190675 Batch=959, step=23760, lr=0.101250, batch loss=0.009924, epoch loss=0.200599 Batch=1019, step=23820, lr=0.101000, batch loss=0.009591, epoch loss=0.210191 Batch=1079, step=23880, lr=0.100750, batch loss=0.001002, epoch loss=0.211193 Batch=1139, step=23940, lr=0.100500, batch loss=0.009329, epoch loss=0.220522 Batch=1199, step=24000, lr=0.100250, batch loss=0.004957, epoch loss=0.225479 Epoch=19, step=24000, lr=0.100250, epoch loss=0.225479 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................**................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-04-07 01:20.04 ---> saved as "918128a9d381c5f748578dd19b3adc9e326aa5e7cf970ac7a346fde4b3d9818f" Job succeeded 2025-04-07 01:20.05: Job succeeded