2025-04-08 09:21.06: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (22552341f230bfd7b6db3fcf7261b86dbe7b0553) (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 22552341 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 2025-04-08 09:21.06: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667-ubuntu-24.04-5.3_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04" 2025-04-08 09:21.06: 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")) ) 2025-04-08 09:21.06: Waiting for resource in pool OCluster 2025-04-08 09:21.06: Waiting for worker… 2025-04-08 09:21.07: Got resource from pool OCluster Building on clete.caelum.ci.dev All commits already cached HEAD is now at 22552341 Fix documentation links (from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) 2025-04-08 09:21.08 ---> using "06e5d68c33d07ab80561193cb9f567604be8657f4b8b2bd2350d9ec652b4b76c" from cache /: (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")) 2025-04-08 09:21.08 ---> using "4ba640804fd0c313d80c46d7ebb2f0c45a6a2eb022d24aeae0e9f67320311f6c" 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 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 2025-04-08 09:21.08 ---> using "817c358501a2607fadc6719ecbafb475a48c910f209ff3da9e21aaa855325614" 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 2025-04-08 09:21.08 ---> using "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-04-08 09:21.08 ---> using "5db640b718b7589bfd0e01928944cc167286bc3fb99a3d4166082413d7a743af" from cache /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..ad2202b486 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) 2025-04-08 09:21.59 ---> saved as "0b192bf72c3d5643e0f2a907c05f6b9f48ca6159b7d899b546f0b1d46be3fc87" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-04-08 09:21.59 ---> saved as "db03e6033958035299cae2fedf76657d4afbe7e6d74a2e644409f4451e7f433f" /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) 2025-04-08 09:22.04 ---> saved as "e1799fa703e57c1ef827df0348b8ecf39ad7ed1cb6805b254ebd0f71e42d1293" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-04-08 09:22.04 ---> saved as "5d04b07e69690849ec3647209ab25b12b3a7519c6c6a487514a669b129636b32" /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" - Get:1 http://security.ubuntu.com/ubuntu noble-security InRelease [126 kB] - Hit:2 http://archive.ubuntu.com/ubuntu noble InRelease - Get:3 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB] - Get:4 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB] - Get:5 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1256 kB] - Get:6 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1365 kB] - Get:7 http://archive.ubuntu.com/ubuntu noble-updates/multiverse amd64 Packages [26.4 kB] - Get:8 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [1132 kB] - Get:9 http://archive.ubuntu.com/ubuntu noble-backports/main amd64 Packages [48.0 kB] - Get:10 http://archive.ubuntu.com/ubuntu noble-backports/universe amd64 Packages [30.9 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 [1088 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 [933 kB] - Fetched 7349 kB in 1s (5223 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) ... 2025-04-08 09:22.25 ---> saved as "bf6a7d5b10a2998f2414d2b5e8c6d8a9c609c394f1944f3d239f85ab2267d7d8" /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 -> installed conf-libffi.2.0.0 -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved fmt.0.10.0 (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 num.1.5-1 (cached) -> retrieved mdx.2.5.0 (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 ocaml-version.4.0.0 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved dune.3.18.0, dune-configurator.3.18.0 (cached) -> installed num.1.5-1 -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved result.1.5 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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) -> installed cmdliner.1.3.0 -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> 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 csexp.1.5.2 -> installed backoff.0.1.1 -> 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 ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.18.0 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed base.v0.17.1 -> installed ctypes.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> 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_deriving.6.0.3 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.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) 2025-04-08 09:23.57 ---> saved as "12111e1be81d4a26f29b6fac443f103d3458f12f2f4020203d80f39998cbf991" /src: (copy (src .) (dst /src)) 2025-04-08 09:23.57 ---> saved as "5ea4ebe1a633a69b5ff20a459f39cffdb8b058944b1b8d4c5d34687be0bea128" /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/c57018ab36382c84cf7ea15dc6777f31/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/419613f1a8e3cb16e5cd250e24f8450c/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/c57018ab36382c84cf7ea15dc6777f31/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c57018ab36382c84cf7ea15dc6777f31/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/c57018ab36382c84cf7ea15dc6777f31/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c57018ab36382c84cf7ea15dc6777f31/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/c57018ab36382c84cf7ea15dc6777f31/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c57018ab36382c84cf7ea15dc6777f31/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/c57018ab36382c84cf7ea15dc6777f31/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c57018ab36382c84cf7ea15dc6777f31/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/c57018ab36382c84cf7ea15dc6777f31/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c57018ab36382c84cf7ea15dc6777f31/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/c57018ab36382c84cf7ea15dc6777f31/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c57018ab36382c84cf7ea15dc6777f31/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/c57018ab36382c84cf7ea15dc6777f31/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c57018ab36382c84cf7ea15dc6777f31/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/c57018ab36382c84cf7ea15dc6777f31/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c57018ab36382c84cf7ea15dc6777f31/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/c57018ab36382c84cf7ea15dc6777f31/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/c57018ab36382c84cf7ea15dc6777f31/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/c57018ab36382c84cf7ea15dc6777f31/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689 Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495 Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314 Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518 Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460 Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885 Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660 Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955 Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988 Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087 Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829 Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103 Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725 Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742 Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559 Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762 Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755 Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388 Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988 Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580 Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712 Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101 Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915 Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348 Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075 Batch=839, step=9240, lr=0.161750, batch loss=0.287243, epoch loss=3.376318 Batch=899, step=9300, lr=0.161500, batch loss=0.251060, epoch loss=3.627378 Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817911 Batch=1019, step=9420, lr=0.161000, batch loss=0.311728, epoch loss=4.129639 Batch=1079, step=9480, lr=0.160750, batch loss=0.191595, epoch loss=4.321234 Batch=1139, step=9540, lr=0.160500, batch loss=0.215772, epoch loss=4.537006 Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702626 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702626 Batch=59, step=9660, lr=0.160000, batch loss=0.197217, epoch loss=0.197217 Batch=119, step=9720, lr=0.159750, batch loss=0.165467, epoch loss=0.362684 Batch=179, step=9780, lr=0.159500, batch loss=0.179286, epoch loss=0.541970 Batch=239, step=9840, lr=0.159250, batch loss=0.263837, epoch loss=0.805807 Batch=299, step=9900, lr=0.159000, batch loss=0.182187, epoch loss=0.987994 Batch=359, step=9960, lr=0.158750, batch loss=0.240842, epoch loss=1.228836 Batch=419, step=10020, lr=0.158500, batch loss=0.232979, epoch loss=1.461815 Batch=479, step=10080, lr=0.158250, batch loss=0.213194, epoch loss=1.675009 Batch=539, step=10140, lr=0.158000, batch loss=0.170694, epoch loss=1.845703 Batch=599, step=10200, lr=0.157750, batch loss=0.200247, epoch loss=2.045950 Batch=659, step=10260, lr=0.157500, batch loss=0.283032, epoch loss=2.328982 Batch=719, step=10320, lr=0.157250, batch loss=0.288754, epoch loss=2.617735 Batch=779, step=10380, lr=0.157000, batch loss=0.296880, epoch loss=2.914615 Batch=839, step=10440, lr=0.156750, batch loss=0.267657, epoch loss=3.182272 Batch=899, step=10500, lr=0.156500, batch loss=0.242699, epoch loss=3.424972 Batch=959, step=10560, lr=0.156250, batch loss=0.198668, epoch loss=3.623639 Batch=1019, step=10620, lr=0.156000, batch loss=0.295119, epoch loss=3.918758 Batch=1079, step=10680, lr=0.155750, batch loss=0.178662, epoch loss=4.097421 Batch=1139, step=10740, lr=0.155500, batch loss=0.205425, epoch loss=4.302846 Batch=1199, step=10800, lr=0.155250, batch loss=0.156138, epoch loss=4.458984 Epoch=8, step=10800, lr=0.155250, epoch loss=4.458984 Batch=59, step=10860, lr=0.155000, batch loss=0.177430, epoch loss=0.177430 Batch=119, step=10920, lr=0.154750, batch loss=0.152366, epoch loss=0.329795 Batch=179, step=10980, lr=0.154500, batch loss=0.167114, epoch loss=0.496909 Batch=239, step=11040, lr=0.154250, batch loss=0.242622, epoch loss=0.739531 Batch=299, step=11100, lr=0.154000, batch loss=0.169984, epoch loss=0.909515 Batch=359, step=11160, lr=0.153750, batch loss=0.222140, epoch loss=1.131654 Batch=419, step=11220, lr=0.153500, batch loss=0.229250, epoch loss=1.360905 Batch=479, step=11280, lr=0.153250, batch loss=0.202871, epoch loss=1.563775 Batch=539, step=11340, lr=0.153000, batch loss=0.159118, epoch loss=1.722894 Batch=599, step=11400, lr=0.152750, batch loss=0.178498, epoch loss=1.901392 Batch=659, step=11460, lr=0.152500, batch loss=0.264724, epoch loss=2.166116 Batch=719, step=11520, lr=0.152250, batch loss=0.256959, epoch loss=2.423075 Batch=779, step=11580, lr=0.152000, batch loss=0.273281, epoch loss=2.696355 Batch=839, step=11640, lr=0.151750, batch loss=0.255783, epoch loss=2.952138 Batch=899, step=11700, lr=0.151500, batch loss=0.212942, epoch loss=3.165080 Batch=959, step=11760, lr=0.151250, batch loss=0.168195, epoch loss=3.333275 Batch=1019, step=11820, lr=0.151000, batch loss=0.266032, epoch loss=3.599307 Batch=1079, step=11880, lr=0.150750, batch loss=0.149776, epoch loss=3.749083 Batch=1139, step=11940, lr=0.150500, batch loss=0.185522, epoch loss=3.934605 Batch=1199, step=12000, lr=0.150250, batch loss=0.139483, epoch loss=4.074088 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074088 Batch=59, step=12060, lr=0.150000, batch loss=0.158027, epoch loss=0.158027 Batch=119, step=12120, lr=0.149750, batch loss=0.128834, epoch loss=0.286861 Batch=179, step=12180, lr=0.149500, batch loss=0.150389, epoch loss=0.437250 Batch=239, step=12240, lr=0.149250, batch loss=0.223284, epoch loss=0.660534 Batch=299, step=12300, lr=0.149000, batch loss=0.142595, epoch loss=0.803130 Batch=359, step=12360, lr=0.148750, batch loss=0.195474, epoch loss=0.998603 Batch=419, step=12420, lr=0.148500, batch loss=0.206189, epoch loss=1.204793 Batch=479, step=12480, lr=0.148000, batch loss=0.178781, epoch loss=1.383574 Batch=539, step=12540, lr=0.148000, batch loss=0.142514, epoch loss=1.526088 Batch=599, step=12600, lr=0.147750, batch loss=0.150499, epoch loss=1.676588 Batch=659, step=12660, lr=0.147250, batch loss=0.224773, epoch loss=1.901360 Batch=719, step=12720, lr=0.147250, batch loss=0.235418, epoch loss=2.136778 Batch=779, step=12780, lr=0.147000, batch loss=0.252589, epoch loss=2.389367 Batch=839, step=12840, lr=0.146750, batch loss=0.225027, epoch loss=2.614394 Batch=899, step=12900, lr=0.146500, batch loss=0.185266, epoch loss=2.799661 Batch=959, step=12960, lr=0.146250, batch loss=0.149096, epoch loss=2.948757 Batch=1019, step=13020, lr=0.146000, batch loss=0.267877, epoch loss=3.216634 Batch=1079, step=13080, lr=0.145750, batch loss=0.115456, epoch loss=3.332090 Batch=1139, step=13140, lr=0.145500, batch loss=0.155329, epoch loss=3.487419 Batch=1199, step=13200, lr=0.145250, batch loss=0.118498, epoch loss=3.605917 Epoch=10, step=13200, lr=0.145250, epoch loss=3.605917 Batch=59, step=13260, lr=0.145000, batch loss=0.143464, epoch loss=0.143464 Batch=119, step=13320, lr=0.144750, batch loss=0.119632, epoch loss=0.263096 Batch=179, step=13380, lr=0.144500, batch loss=0.127191, epoch loss=0.390287 Batch=239, step=13440, lr=0.144250, batch loss=0.186852, epoch loss=0.577140 Batch=299, step=13500, lr=0.144000, batch loss=0.112665, epoch loss=0.689805 Batch=359, step=13560, lr=0.143750, batch loss=0.161683, epoch loss=0.851488 Batch=419, step=13620, lr=0.143500, batch loss=0.160653, epoch loss=1.012142 Batch=479, step=13680, lr=0.143250, batch loss=0.147496, epoch loss=1.159638 Batch=539, step=13740, lr=0.143000, batch loss=0.118061, epoch loss=1.277699 Batch=599, step=13800, lr=0.142750, batch loss=0.120069, epoch loss=1.397768 Batch=659, step=13860, lr=0.142500, batch loss=0.175832, epoch loss=1.573600 Batch=719, step=13920, lr=0.142250, batch loss=0.172379, epoch loss=1.745979 Batch=779, step=13980, lr=0.142000, batch loss=0.178501, epoch loss=1.924479 Batch=839, step=14040, lr=0.141750, batch loss=0.186013, epoch loss=2.110492 Batch=899, step=14100, lr=0.141500, batch loss=0.178082, epoch loss=2.288574 Batch=959, step=14160, lr=0.141250, batch loss=0.146497, epoch loss=2.435071 Batch=1019, step=14220, lr=0.141000, batch loss=0.329900, epoch loss=2.764971 Batch=1079, step=14280, lr=0.140750, batch loss=0.082771, epoch loss=2.847742 Batch=1139, step=14340, lr=0.140500, batch loss=0.122225, epoch loss=2.969967 Batch=1199, step=14400, lr=0.140250, batch loss=0.091703, epoch loss=3.061670 Epoch=11, step=14400, lr=0.140250, epoch loss=3.061670 Batch=59, step=14460, lr=0.140000, batch loss=0.112963, epoch loss=0.112963 Batch=119, step=14520, lr=0.139750, batch loss=0.102677, epoch loss=0.215640 Batch=179, step=14580, lr=0.139500, batch loss=0.106389, epoch loss=0.322029 Batch=239, step=14640, lr=0.139250, batch loss=0.140601, epoch loss=0.462630 Batch=299, step=14700, lr=0.139000, batch loss=0.080907, epoch loss=0.543537 Batch=359, step=14760, lr=0.138750, batch loss=0.125461, epoch loss=0.668998 Batch=419, step=14820, lr=0.138500, batch loss=0.129193, epoch loss=0.798191 Batch=479, step=14880, lr=0.138250, batch loss=0.101567, epoch loss=0.899758 Batch=539, step=14940, lr=0.138000, batch loss=0.098470, epoch loss=0.998228 Batch=599, step=15000, lr=0.137750, batch loss=0.084863, epoch loss=1.083092 Batch=659, step=15060, lr=0.137500, batch loss=0.129065, epoch loss=1.212156 Batch=719, step=15120, lr=0.137250, batch loss=0.124793, epoch loss=1.336949 Batch=779, step=15180, lr=0.137000, batch loss=0.128636, epoch loss=1.465585 Batch=839, step=15240, lr=0.136750, batch loss=0.144879, epoch loss=1.610464 Batch=899, step=15300, lr=0.136500, batch loss=0.144724, epoch loss=1.755188 Batch=959, step=15360, lr=0.136250, batch loss=0.116749, epoch loss=1.871937 Batch=1019, step=15420, lr=0.136000, batch loss=0.368959, epoch loss=2.240895 Batch=1079, step=15480, lr=0.135750, batch loss=0.036870, epoch loss=2.277766 Batch=1139, step=15540, lr=0.135500, batch loss=0.073907, epoch loss=2.351672 Batch=1199, step=15600, lr=0.135250, batch loss=0.058316, epoch loss=2.409989 Epoch=12, step=15600, lr=0.135250, epoch loss=2.409989 Batch=59, step=15660, lr=0.135000, batch loss=0.071611, epoch loss=0.071611 Batch=119, step=15720, lr=0.134750, batch loss=0.084309, epoch loss=0.155920 Batch=179, step=15780, lr=0.134500, batch loss=0.081651, epoch loss=0.237571 Batch=239, step=15840, lr=0.134250, batch loss=0.092055, epoch loss=0.329626 Batch=299, step=15900, lr=0.134000, batch loss=0.035722, epoch loss=0.365348 Batch=359, step=15960, lr=0.133750, batch loss=0.074919, epoch loss=0.440267 Batch=419, step=16020, lr=0.133500, batch loss=0.090007, epoch loss=0.530275 Batch=479, step=16080, lr=0.133250, batch loss=0.066982, epoch loss=0.597257 Batch=539, step=16140, lr=0.133000, batch loss=0.097016, epoch loss=0.694273 Batch=599, step=16200, lr=0.132750, batch loss=0.057701, epoch loss=0.751974 Batch=659, step=16260, lr=0.132500, batch loss=0.076010, epoch loss=0.827983 Batch=719, step=16320, lr=0.132250, batch loss=0.070050, epoch loss=0.898033 Batch=779, step=16380, lr=0.132000, batch loss=0.065532, epoch loss=0.963565 Batch=839, step=16440, lr=0.131750, batch loss=0.078492, epoch loss=1.042057 Batch=899, step=16500, lr=0.131500, batch loss=0.085390, epoch loss=1.127447 Batch=959, step=16560, lr=0.131250, batch loss=0.100740, epoch loss=1.228186 Batch=1019, step=16620, lr=0.131000, batch loss=0.334052, epoch loss=1.562238 Batch=1079, step=16680, lr=0.130750, batch loss=0.022239, epoch loss=1.584477 Batch=1139, step=16740, lr=0.130500, batch loss=0.048121, epoch loss=1.632598 Batch=1199, step=16800, lr=0.130250, batch loss=0.031925, epoch loss=1.664523 Epoch=13, step=16800, lr=0.130250, epoch loss=1.664523 Batch=59, step=16860, lr=0.130000, batch loss=0.031149, epoch loss=0.031149 Batch=119, step=16920, lr=0.129750, batch loss=0.032314, epoch loss=0.063462 Batch=179, step=16980, lr=0.129500, batch loss=0.043094, epoch loss=0.106556 Batch=239, step=17040, lr=0.129250, batch loss=0.056588, epoch loss=0.163144 Batch=299, step=17100, lr=0.129000, batch loss=0.019049, epoch loss=0.182193 Batch=359, step=17160, lr=0.128750, batch loss=0.040275, epoch loss=0.222468 Batch=419, step=17220, lr=0.128500, batch loss=0.050556, epoch loss=0.273024 Batch=479, step=17280, lr=0.128250, batch loss=0.041634, epoch loss=0.314658 Batch=539, step=17340, lr=0.128000, batch loss=0.096110, epoch loss=0.410768 Batch=599, step=17400, lr=0.127750, batch loss=0.043173, epoch loss=0.453941 Batch=659, step=17460, lr=0.127500, batch loss=0.048298, epoch loss=0.502238 Batch=719, step=17520, lr=0.127250, batch loss=0.064325, epoch loss=0.566564 Batch=779, step=17580, lr=0.127000, batch loss=0.118727, epoch loss=0.685291 Batch=839, step=17640, lr=0.126750, batch loss=0.073728, epoch loss=0.759019 Batch=899, step=17700, lr=0.126500, batch loss=0.092354, epoch loss=0.851373 Batch=959, step=17760, lr=0.126250, batch loss=0.035397, epoch loss=0.886770 Batch=1019, step=17820, lr=0.126000, batch loss=0.068872, epoch loss=0.955642 Batch=1079, step=17880, lr=0.125750, batch loss=0.018763, epoch loss=0.974405 Batch=1139, step=17940, lr=0.125500, batch loss=0.038139, epoch loss=1.012544 Batch=1199, step=18000, lr=0.125250, batch loss=0.017101, epoch loss=1.029645 Epoch=14, step=18000, lr=0.125250, epoch loss=1.029645 Batch=59, step=18060, lr=0.125000, batch loss=0.012016, epoch loss=0.012016 Batch=119, step=18120, lr=0.124750, batch loss=0.019669, epoch loss=0.031685 Batch=179, step=18180, lr=0.124500, batch loss=0.030271, epoch loss=0.061956 Batch=239, step=18240, lr=0.124250, batch loss=0.032957, epoch loss=0.094914 Batch=299, step=18300, lr=0.124000, batch loss=0.009319, epoch loss=0.104233 Batch=359, step=18360, lr=0.123750, batch loss=0.024263, epoch loss=0.128496 Batch=419, step=18420, lr=0.123500, batch loss=0.028360, epoch loss=0.156856 Batch=479, step=18480, lr=0.123250, batch loss=0.014302, epoch loss=0.171158 Batch=539, step=18540, lr=0.123000, batch loss=0.020912, epoch loss=0.192070 Batch=599, step=18600, lr=0.122750, batch loss=0.026794, epoch loss=0.218864 Batch=659, step=18660, lr=0.122500, batch loss=0.025639, epoch loss=0.244503 Batch=719, step=18720, lr=0.122250, batch loss=0.044911, epoch loss=0.289415 Batch=779, step=18780, lr=0.122000, batch loss=0.097694, epoch loss=0.387109 Batch=839, step=18840, lr=0.121750, batch loss=0.069418, epoch loss=0.456527 Batch=899, step=18900, lr=0.121500, batch loss=0.102034, epoch loss=0.558561 Batch=959, step=18960, lr=0.121250, batch loss=0.014528, epoch loss=0.573089 Batch=1019, step=19020, lr=0.121000, batch loss=0.025426, epoch loss=0.598515 Batch=1079, step=19080, lr=0.120750, batch loss=0.003883, epoch loss=0.602398 Batch=1139, step=19140, lr=0.120500, batch loss=0.020615, epoch loss=0.623013 Batch=1199, step=19200, lr=0.120250, batch loss=0.009414, epoch loss=0.632426 Epoch=15, step=19200, lr=0.120250, epoch loss=0.632426 Batch=59, step=19260, lr=0.120000, batch loss=0.003788, epoch loss=0.003788 Batch=119, step=19320, lr=0.119750, batch loss=0.011166, epoch loss=0.014954 Batch=179, step=19380, lr=0.119500, batch loss=0.019274, epoch loss=0.034228 Batch=239, step=19440, lr=0.119250, batch loss=0.021887, epoch loss=0.056115 Batch=299, step=19500, lr=0.119000, batch loss=0.016021, epoch loss=0.072136 Batch=359, step=19560, lr=0.118750, batch loss=0.031507, epoch loss=0.103644 Batch=419, step=19620, lr=0.118500, batch loss=0.020421, epoch loss=0.124065 Batch=479, step=19680, lr=0.118250, batch loss=0.006713, epoch loss=0.130777 Batch=539, step=19740, lr=0.118000, batch loss=0.018337, epoch loss=0.149115 Batch=599, step=19800, lr=0.117750, batch loss=0.021284, epoch loss=0.170398 Batch=659, step=19860, lr=0.117500, batch loss=0.016650, epoch loss=0.187049 Batch=719, step=19920, lr=0.117250, batch loss=0.029295, epoch loss=0.216343 Batch=779, step=19980, lr=0.117000, batch loss=0.062127, epoch loss=0.278470 Batch=839, step=20040, lr=0.116750, batch loss=0.030158, epoch loss=0.308628 Batch=899, step=20100, lr=0.116500, batch loss=0.029551, epoch loss=0.338179 Batch=959, step=20160, lr=0.116250, batch loss=0.012655, epoch loss=0.350834 Batch=1019, step=20220, lr=0.116000, batch loss=0.012445, epoch loss=0.363278 Batch=1079, step=20280, lr=0.115750, batch loss=0.002594, epoch loss=0.365872 Batch=1139, step=20340, lr=0.115500, batch loss=0.015522, epoch loss=0.381394 Batch=1199, step=20400, lr=0.115250, batch loss=0.005753, epoch loss=0.387147 Epoch=16, step=20400, lr=0.115250, epoch loss=0.387147 Batch=59, step=20460, lr=0.115000, batch loss=0.002601, epoch loss=0.002601 Batch=119, step=20520, lr=0.114750, batch loss=0.011170, epoch loss=0.013771 Batch=179, step=20580, lr=0.114500, batch loss=0.024077, epoch loss=0.037848 Batch=239, step=20640, lr=0.114250, batch loss=0.015393, epoch loss=0.053241 Batch=299, step=20700, lr=0.114000, batch loss=0.004805, epoch loss=0.058047 Batch=359, step=20760, lr=0.113750, batch loss=0.013223, epoch loss=0.071269 Batch=419, step=20820, lr=0.113500, batch loss=0.014381, epoch loss=0.085650 Batch=479, step=20880, lr=0.113250, batch loss=0.006079, epoch loss=0.091729 Batch=539, step=20940, lr=0.113000, batch loss=0.016314, epoch loss=0.108043 Batch=599, step=21000, lr=0.112750, batch loss=0.018072, epoch loss=0.126116 Batch=659, step=21060, lr=0.112500, batch loss=0.014156, epoch loss=0.140272 Batch=719, step=21120, lr=0.112250, batch loss=0.041115, epoch loss=0.181387 Batch=779, step=21180, lr=0.112000, batch loss=0.067174, epoch loss=0.248561 Batch=839, step=21240, lr=0.111750, batch loss=0.024010, epoch loss=0.272571 Batch=899, step=21300, lr=0.111500, batch loss=0.030969, epoch loss=0.303539 Batch=959, step=21360, lr=0.111250, batch loss=0.010969, epoch loss=0.314509 Batch=1019, step=21420, lr=0.111000, batch loss=0.012988, epoch loss=0.327497 Batch=1079, step=21480, lr=0.110750, batch loss=0.001350, epoch loss=0.328847 Batch=1139, step=21540, lr=0.110500, batch loss=0.012267, epoch loss=0.341115 Batch=1199, step=21600, lr=0.110250, batch loss=0.004659, epoch loss=0.345774 Epoch=17, step=21600, lr=0.110250, epoch loss=0.345774 Batch=59, step=21660, lr=0.110000, batch loss=0.001416, epoch loss=0.001416 Batch=119, step=21720, lr=0.109750, batch loss=0.007459, epoch loss=0.008875 Batch=179, step=21780, lr=0.109500, batch loss=0.013286, epoch loss=0.022161 Batch=239, step=21840, lr=0.109250, batch loss=0.017447, epoch loss=0.039608 Batch=299, step=21900, lr=0.109000, batch loss=0.006543, epoch loss=0.046151 Batch=359, step=21960, lr=0.108750, batch loss=0.012057, epoch loss=0.058208 Batch=419, step=22020, lr=0.108500, batch loss=0.012315, epoch loss=0.070523 Batch=479, step=22080, lr=0.108250, batch loss=0.003862, epoch loss=0.074385 Batch=539, step=22140, lr=0.108000, batch loss=0.013633, epoch loss=0.088018 Batch=599, step=22200, lr=0.107750, batch loss=0.015820, epoch loss=0.103838 Batch=659, step=22260, lr=0.107500, batch loss=0.014157, epoch loss=0.117995 Batch=719, step=22320, lr=0.107250, batch loss=0.028958, epoch loss=0.146953 Batch=779, step=22380, lr=0.107000, batch loss=0.033086, epoch loss=0.180039 Batch=839, step=22440, lr=0.106750, batch loss=0.027156, epoch loss=0.207195 Batch=899, step=22500, lr=0.106500, batch loss=0.025319, epoch loss=0.232514 Batch=959, step=22560, lr=0.106250, batch loss=0.008550, epoch loss=0.241064 Batch=1019, step=22620, lr=0.106000, batch loss=0.009056, epoch loss=0.250121 Batch=1079, step=22680, lr=0.105750, batch loss=0.000062, epoch loss=0.250183 Batch=1139, step=22740, lr=0.105500, batch loss=0.010098, epoch loss=0.260281 Batch=1199, step=22800, lr=0.105250, batch loss=0.004719, epoch loss=0.265000 Epoch=18, step=22800, lr=0.105250, epoch loss=0.265000 Batch=59, step=22860, lr=0.105000, batch loss=0.001480, epoch loss=0.001480 Batch=119, step=22920, lr=0.104750, batch loss=0.005030, epoch loss=0.006510 Batch=179, step=22980, lr=0.104500, batch loss=0.009969, epoch loss=0.016479 Batch=239, step=23040, lr=0.104250, batch loss=0.008437, epoch loss=0.024916 Batch=299, step=23100, lr=0.104000, batch loss=0.006815, epoch loss=0.031731 Batch=359, step=23160, lr=0.103750, batch loss=0.011547, epoch loss=0.043278 Batch=419, step=23220, lr=0.103500, batch loss=0.010361, epoch loss=0.053639 Batch=479, step=23280, lr=0.103250, batch loss=0.002302, epoch loss=0.055941 Batch=539, step=23340, lr=0.103000, batch loss=0.016518, epoch loss=0.072459 Batch=599, step=23400, lr=0.102750, batch loss=0.013358, epoch loss=0.085818 Batch=659, step=23460, lr=0.102500, batch loss=0.011238, epoch loss=0.097055 Batch=719, step=23520, lr=0.102250, batch loss=0.010914, epoch loss=0.107970 Batch=779, step=23580, lr=0.102000, batch loss=0.018076, epoch loss=0.126046 Batch=839, step=23640, lr=0.101750, batch loss=0.027137, epoch loss=0.153183 Batch=899, step=23700, lr=0.101500, batch loss=0.020908, epoch loss=0.174090 Batch=959, step=23760, lr=0.101250, batch loss=0.010363, epoch loss=0.184453 Batch=1019, step=23820, lr=0.101000, batch loss=0.007161, epoch loss=0.191614 Batch=1079, step=23880, lr=0.100750, batch loss=0.000841, epoch loss=0.192455 Batch=1139, step=23940, lr=0.100500, batch loss=0.008404, epoch loss=0.200859 Batch=1199, step=24000, lr=0.100250, batch loss=0.004272, epoch loss=0.205131 Epoch=19, step=24000, lr=0.100250, epoch loss=0.205131 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************...******************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-04-08 09:24.25 ---> saved as "4482fb9c432f5d41779e76ea54476497c4bc720f71449b758e893691f49bb640" Job succeeded 2025-04-08 09:24.26: Job succeeded