2025-03-20 21:04.47: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0) (linux-x86_64:ubuntu-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 ccaf459c 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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-20 21:04.47: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667-ubuntu-24.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 21:04.47: 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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-20 21:04.47: Waiting for resource in pool OCluster 2025-03-20 21:04.47: Waiting for worker… 2025-03-20 21:16.29: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at ccaf459c Missing from previous commit: test update (from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b14989a1d9bb59e7907ec08c68bdbc6fe932625c5fe1cddb0fc1fa6c81eb3667) 2025-03-20 21:16.57 ---> 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")) 2025-03-20 21:16.57 ---> 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. 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 2025-03-20 21:18.17 ---> 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 2025-03-20 21:18.18 ---> saved as "7f82dcfd35c4e2cf8aa5e76ee6aca5ea8364dcbab9135497913706dfb96d17ef" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 21:18.18 ---> saved as "5db640b718b7589bfd0e01928944cc167286bc3fb99a3d4166082413d7a743af" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 21:19.26 ---> saved as "b9f37d815f22fb30aebedebbf7f4a18bd92084680e1060eb9cd0e2127e7bb900" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 21:19.26 ---> saved as "49ccd087f7d7123ad22e95829309c9c68b651627445e8127bbb6b5bc5de8089a" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 21:19.32 ---> saved as "d9f9a5483f7b706b2f6791e7be093a3d6a0cc5ef4dd57202b1037ea42ef297fb" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 21:19.33 ---> saved as "20a20da0a682b7158fc1d8d0d333b2e1252fe06160fc1dc7a53db647cedce36c" /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://security.ubuntu.com/ubuntu noble-security InRelease [126 kB] - Hit:2 http://archive.ubuntu.com/ubuntu noble InRelease - Get:3 http://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [845 kB] - Get:4 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [916 kB] - Get:5 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1060 kB] - Get:6 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB] - Get:7 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB] - Get:8 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1350 kB] - Get:9 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [962 kB] - Get:10 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1171 kB] - Fetched 6681 kB in 1s (4960 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) ... 2025-03-20 21:20.03 ---> saved as "169708568efe22a8acbe85b668d351f1cef187173c893ab59eb729fd76ba88d7" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved 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 cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.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 uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed cppo.1.8.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed 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_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 21:22.05 ---> saved as "127074d52528aa0969e5a0c1f5ada80af679f7500f706af87bcff57f6a304452" /src: (copy (src .) (dst /src)) 2025-03-20 21:22.05 ---> saved as "d605ac41be6627c49cbc7a7ce046e1b0f2ab921a0b440f7ef7985f7bd560967d" /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/f10a28923aa640b2a7fc38f9d13ab16c/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/800925a36971aba789ed180ce2deabef/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f10a28923aa640b2a7fc38f9d13ab16c/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199000, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.198750, batch loss=1.446818, epoch loss=37.063303 Batch=359, step=360, lr=0.198750, batch loss=1.335177, epoch loss=38.398480 Batch=419, step=420, lr=0.198250, batch loss=0.615725, epoch loss=39.014205 Batch=479, step=480, lr=0.198250, batch loss=0.809823, epoch loss=39.824028 Batch=539, step=540, lr=0.198000, batch loss=0.710596, epoch loss=40.534624 Batch=599, step=600, lr=0.197500, batch loss=1.069157, epoch loss=41.603781 Batch=659, step=660, lr=0.197250, batch loss=0.482375, epoch loss=42.086156 Batch=719, step=720, lr=0.197000, batch loss=0.411171, epoch loss=42.497327 Batch=779, step=780, lr=0.197000, batch loss=0.469433, epoch loss=42.966760 Batch=839, step=840, lr=0.196500, batch loss=0.443897, epoch loss=43.410657 Batch=899, step=900, lr=0.196250, batch loss=0.383195, epoch loss=43.793851 Batch=959, step=960, lr=0.196000, batch loss=0.242133, epoch loss=44.035985 Batch=1019, step=1020, lr=0.195750, batch loss=0.451641, epoch loss=44.487626 Batch=1079, step=1080, lr=0.195750, batch loss=0.259859, epoch loss=44.747485 Batch=1139, step=1140, lr=0.195500, batch loss=0.339296, epoch loss=45.086781 Batch=1199, step=1200, lr=0.195000, batch loss=0.261548, epoch loss=45.348329 Epoch=0, step=1200, lr=0.195000, epoch loss=45.348329 Batch=59, step=1260, lr=0.195000, batch loss=0.260800, epoch loss=0.260800 Batch=119, step=1320, lr=0.194750, batch loss=0.202934, epoch loss=0.463734 Batch=179, step=1380, lr=0.194500, batch loss=0.244150, epoch loss=0.707884 Batch=239, step=1440, lr=0.194000, batch loss=0.348203, epoch loss=1.056087 Batch=299, step=1500, lr=0.194000, batch loss=0.239197, epoch loss=1.295284 Batch=359, step=1560, lr=0.193500, batch loss=0.312973, epoch loss=1.608256 Batch=419, step=1620, lr=0.193250, batch loss=0.309874, epoch loss=1.918131 Batch=479, step=1680, lr=0.193250, batch loss=0.276997, epoch loss=2.195128 Batch=539, step=1740, lr=0.193000, batch loss=0.210932, epoch loss=2.406060 Batch=599, step=1800, lr=0.192500, batch loss=0.252398, epoch loss=2.658458 Batch=659, step=1860, lr=0.192250, batch loss=0.369073, epoch loss=3.027531 Batch=719, step=1920, lr=0.192000, batch loss=0.365553, epoch loss=3.393085 Batch=779, step=1980, lr=0.191750, batch loss=0.383190, epoch loss=3.776274 Batch=839, step=2040, lr=0.191500, batch loss=0.340580, epoch loss=4.116854 Batch=899, step=2100, lr=0.191250, batch loss=0.295778, epoch loss=4.412632 Batch=959, step=2160, lr=0.191000, batch loss=0.213852, epoch loss=4.626483 Batch=1019, step=2220, lr=0.191000, batch loss=0.332314, epoch loss=4.958797 Batch=1079, step=2280, lr=0.190750, batch loss=0.192781, epoch loss=5.151579 Batch=1139, step=2340, lr=0.190500, batch loss=0.256284, epoch loss=5.407863 Batch=1199, step=2400, lr=0.190250, batch loss=0.211022, epoch loss=5.618885 Epoch=1, step=2400, lr=0.190250, epoch loss=5.618885 Batch=59, step=2460, lr=0.190000, batch loss=0.229423, epoch loss=0.229423 Batch=119, step=2520, lr=0.189750, batch loss=0.198482, epoch loss=0.427905 Batch=179, step=2580, lr=0.189500, batch loss=0.219494, epoch loss=0.647399 Batch=239, step=2640, lr=0.189250, batch loss=0.327501, epoch loss=0.974900 Batch=299, step=2700, lr=0.189000, batch loss=0.207002, epoch loss=1.181903 Batch=359, step=2760, lr=0.188750, batch loss=0.291368, epoch loss=1.473270 Batch=419, step=2820, lr=0.188500, batch loss=0.281288, epoch loss=1.754559 Batch=479, step=2880, lr=0.188000, batch loss=0.258238, epoch loss=2.012796 Batch=539, step=2940, lr=0.187750, batch loss=0.198726, epoch loss=2.211522 Batch=599, step=3000, lr=0.187500, batch loss=0.240029, epoch loss=2.451552 Batch=659, step=3060, lr=0.187500, batch loss=0.347722, epoch loss=2.799274 Batch=719, step=3120, lr=0.187250, batch loss=0.345455, epoch loss=3.144729 Batch=779, step=3180, lr=0.187000, batch loss=0.365953, epoch loss=3.510682 Batch=839, step=3240, lr=0.186750, batch loss=0.322835, epoch loss=3.833517 Batch=899, step=3300, lr=0.186500, batch loss=0.291525, epoch loss=4.125043 Batch=959, step=3360, lr=0.186250, batch loss=0.233042, epoch loss=4.358084 Batch=1019, step=3420, lr=0.186000, batch loss=0.350538, epoch loss=4.708622 Batch=1079, step=3480, lr=0.185500, batch loss=0.225815, epoch loss=4.934437 Batch=1139, step=3540, lr=0.185500, batch loss=0.265928, epoch loss=5.200365 Batch=1199, step=3600, lr=0.185250, batch loss=0.199061, epoch loss=5.399426 Epoch=2, step=3600, lr=0.185250, epoch loss=5.399426 Batch=59, step=3660, lr=0.185000, batch loss=0.226433, epoch loss=0.226433 Batch=119, step=3720, lr=0.184750, batch loss=0.186831, epoch loss=0.413264 Batch=179, step=3780, lr=0.184500, batch loss=0.212717, epoch loss=0.625981 Batch=239, step=3840, lr=0.184000, batch loss=0.317064, epoch loss=0.943044 Batch=299, step=3900, lr=0.183750, batch loss=0.203730, epoch loss=1.146774 Batch=359, step=3960, lr=0.183750, batch loss=0.288991, epoch loss=1.435765 Batch=419, step=4020, lr=0.183500, batch loss=0.273736, epoch loss=1.709501 Batch=479, step=4080, lr=0.183250, batch loss=0.253335, epoch loss=1.962836 Batch=539, step=4140, lr=0.183000, batch loss=0.194137, epoch loss=2.156973 Batch=599, step=4200, lr=0.182750, batch loss=0.230057, epoch loss=2.387031 Batch=659, step=4260, lr=0.182500, batch loss=0.331165, epoch loss=2.718196 Batch=719, step=4320, lr=0.182250, batch loss=0.327058, epoch loss=3.045254 Batch=779, step=4380, lr=0.182000, batch loss=0.354681, epoch loss=3.399935 Batch=839, step=4440, lr=0.181750, batch loss=0.316764, epoch loss=3.716698 Batch=899, step=4500, lr=0.181500, batch loss=0.281787, epoch loss=3.998485 Batch=959, step=4560, lr=0.181250, batch loss=0.222391, epoch loss=4.220876 Batch=1019, step=4620, lr=0.181000, batch loss=0.345105, epoch loss=4.565981 Batch=1079, step=4680, lr=0.180750, batch loss=0.216405, epoch loss=4.782386 Batch=1139, step=4740, lr=0.180500, batch loss=0.246487, epoch loss=5.028873 Batch=1199, step=4800, lr=0.180250, batch loss=0.191552, epoch loss=5.220425 Epoch=3, step=4800, lr=0.180250, epoch loss=5.220425 Batch=59, step=4860, lr=0.180000, batch loss=0.228592, epoch loss=0.228592 Batch=119, step=4920, lr=0.179750, batch loss=0.189680, epoch loss=0.418271 Batch=179, step=4980, lr=0.179500, batch loss=0.207403, epoch loss=0.625674 Batch=239, step=5040, lr=0.179250, batch loss=0.308914, epoch loss=0.934589 Batch=299, step=5100, lr=0.178750, batch loss=0.208272, epoch loss=1.142861 Batch=359, step=5160, lr=0.178500, batch loss=0.285892, epoch loss=1.428753 Batch=419, step=5220, lr=0.178500, batch loss=0.289894, epoch loss=1.718647 Batch=479, step=5280, lr=0.178250, batch loss=0.248736, epoch loss=1.967383 Batch=539, step=5340, lr=0.178000, batch loss=0.198907, epoch loss=2.166290 Batch=599, step=5400, lr=0.177750, batch loss=0.240089, epoch loss=2.406379 Batch=659, step=5460, lr=0.177500, batch loss=0.319834, epoch loss=2.726212 Batch=719, step=5520, lr=0.177250, batch loss=0.321845, epoch loss=3.048058 Batch=779, step=5580, lr=0.177000, batch loss=0.337988, epoch loss=3.386046 Batch=839, step=5640, lr=0.176750, batch loss=0.308617, epoch loss=3.694662 Batch=899, step=5700, lr=0.176500, batch loss=0.276242, epoch loss=3.970905 Batch=959, step=5760, lr=0.176250, batch loss=0.211439, epoch loss=4.182344 Batch=1019, step=5820, lr=0.176000, batch loss=0.332662, epoch loss=4.515006 Batch=1079, step=5880, lr=0.175750, batch loss=0.180930, epoch loss=4.695935 Batch=1139, step=5940, lr=0.175500, batch loss=0.217704, epoch loss=4.913640 Batch=1199, step=6000, lr=0.175250, batch loss=0.201839, epoch loss=5.115478 Epoch=4, step=6000, lr=0.175250, epoch loss=5.115478 Batch=59, step=6060, lr=0.175000, batch loss=0.241327, epoch loss=0.241327 Batch=119, step=6120, lr=0.174500, batch loss=0.186986, epoch loss=0.428313 Batch=179, step=6180, lr=0.174250, batch loss=0.200873, epoch loss=0.629186 Batch=239, step=6240, lr=0.174250, batch loss=0.300848, epoch loss=0.930033 Batch=299, step=6300, lr=0.174000, batch loss=0.213082, epoch loss=1.143115 Batch=359, step=6360, lr=0.173750, batch loss=0.268962, epoch loss=1.412078 Batch=419, step=6420, lr=0.173500, batch loss=0.265328, epoch loss=1.677405 Batch=479, step=6480, lr=0.173250, batch loss=0.244747, epoch loss=1.922152 Batch=539, step=6540, lr=0.173000, batch loss=0.193082, epoch loss=2.115234 Batch=599, step=6600, lr=0.172750, batch loss=0.229650, epoch loss=2.344884 Batch=659, step=6660, lr=0.172500, batch loss=0.316762, epoch loss=2.661646 Batch=719, step=6720, lr=0.172250, batch loss=0.313699, epoch loss=2.975345 Batch=779, step=6780, lr=0.172000, batch loss=0.331202, epoch loss=3.306547 Batch=839, step=6840, lr=0.171500, batch loss=0.304476, epoch loss=3.611022 Batch=899, step=6900, lr=0.171500, batch loss=0.267314, epoch loss=3.878336 Batch=959, step=6960, lr=0.171250, batch loss=0.208383, epoch loss=4.086719 Batch=1019, step=7020, lr=0.171000, batch loss=0.324126, epoch loss=4.410845 Batch=1079, step=7080, lr=0.170750, batch loss=0.175551, epoch loss=4.586396 Batch=1139, step=7140, lr=0.170500, batch loss=0.212214, epoch loss=4.798610 Batch=1199, step=7200, lr=0.170250, batch loss=0.195762, epoch loss=4.994372 Epoch=5, step=7200, lr=0.170250, epoch loss=4.994372 Batch=59, step=7260, lr=0.170000, batch loss=0.238663, epoch loss=0.238663 Batch=119, step=7320, lr=0.169750, batch loss=0.180330, epoch loss=0.418992 Batch=179, step=7380, lr=0.169250, batch loss=0.194824, epoch loss=0.613816 Batch=239, step=7440, lr=0.169250, batch loss=0.290936, epoch loss=0.904752 Batch=299, step=7500, lr=0.169000, batch loss=0.205397, epoch loss=1.110149 Batch=359, step=7560, lr=0.168750, batch loss=0.263149, epoch loss=1.373298 Batch=419, step=7620, lr=0.168500, batch loss=0.254998, epoch loss=1.628296 Batch=479, step=7680, lr=0.168250, batch loss=0.238916, epoch loss=1.867212 Batch=539, step=7740, lr=0.168000, batch loss=0.185391, epoch loss=2.052602 Batch=599, step=7800, lr=0.167500, batch loss=0.225289, epoch loss=2.277891 Batch=659, step=7860, lr=0.167500, batch loss=0.305217, epoch loss=2.583108 Batch=719, step=7920, lr=0.167250, batch loss=0.308618, epoch loss=2.891726 Batch=779, step=7980, lr=0.167000, batch loss=0.329908, epoch loss=3.221634 Batch=839, step=8040, lr=0.166750, batch loss=0.292408, epoch loss=3.514042 Batch=899, step=8100, lr=0.166500, batch loss=0.263902, epoch loss=3.777943 Batch=959, step=8160, lr=0.166250, batch loss=0.208300, epoch loss=3.986244 Batch=1019, step=8220, lr=0.165750, batch loss=0.317525, epoch loss=4.303768 Batch=1079, step=8280, lr=0.165750, batch loss=0.173379, epoch loss=4.477147 Batch=1139, step=8340, lr=0.165500, batch loss=0.209363, epoch loss=4.686510 Batch=1199, step=8400, lr=0.165250, batch loss=0.178214, epoch loss=4.864724 Epoch=6, step=8400, lr=0.165250, epoch loss=4.864724 Batch=59, step=8460, lr=0.165000, batch loss=0.230338, epoch loss=0.230338 Batch=119, step=8520, lr=0.164500, batch loss=0.174187, epoch loss=0.404526 Batch=179, step=8580, lr=0.164250, batch loss=0.188180, epoch loss=0.592706 Batch=239, step=8640, lr=0.164250, batch loss=0.279736, epoch loss=0.872442 Batch=299, step=8700, lr=0.164000, batch loss=0.190825, epoch loss=1.063267 Batch=359, step=8760, lr=0.163500, batch loss=0.249915, epoch loss=1.313182 Batch=419, step=8820, lr=0.163500, batch loss=0.245847, epoch loss=1.559029 Batch=479, step=8880, lr=0.163250, batch loss=0.226830, epoch loss=1.785859 Batch=539, step=8940, lr=0.163000, batch loss=0.180560, epoch loss=1.966420 Batch=599, step=9000, lr=0.162750, batch loss=0.215172, epoch loss=2.181592 Batch=659, step=9060, lr=0.162500, batch loss=0.295299, epoch loss=2.476891 Batch=719, step=9120, lr=0.162250, batch loss=0.296736, epoch loss=2.773627 Batch=779, step=9180, lr=0.162000, batch loss=0.317189, epoch loss=3.090816 Batch=839, step=9240, lr=0.161750, batch loss=0.285200, epoch loss=3.376016 Batch=899, step=9300, lr=0.161500, batch loss=0.254366, epoch loss=3.630382 Batch=959, step=9360, lr=0.161250, batch loss=0.212123, epoch loss=3.842505 Batch=1019, step=9420, lr=0.161000, batch loss=0.300334, epoch loss=4.142839 Batch=1079, step=9480, lr=0.160750, batch loss=0.176971, epoch loss=4.319810 Batch=1139, step=9540, lr=0.160500, batch loss=0.204923, epoch loss=4.524733 Batch=1199, step=9600, lr=0.160250, batch loss=0.164546, epoch loss=4.689279 Epoch=7, step=9600, lr=0.160250, epoch loss=4.689279 Batch=59, step=9660, lr=0.160000, batch loss=0.196403, epoch loss=0.196403 Batch=119, step=9720, lr=0.159750, batch loss=0.166540, epoch loss=0.362943 Batch=179, step=9780, lr=0.159500, batch loss=0.179361, epoch loss=0.542304 Batch=239, step=9840, lr=0.159250, batch loss=0.261158, epoch loss=0.803462 Batch=299, step=9900, lr=0.159000, batch loss=0.187985, epoch loss=0.991447 Batch=359, step=9960, lr=0.158750, batch loss=0.242193, epoch loss=1.233640 Batch=419, step=10020, lr=0.158500, batch loss=0.232231, epoch loss=1.465871 Batch=479, step=10080, lr=0.158250, batch loss=0.214988, epoch loss=1.680858 Batch=539, step=10140, lr=0.158000, batch loss=0.169664, epoch loss=1.850523 Batch=599, step=10200, lr=0.157750, batch loss=0.202302, epoch loss=2.052825 Batch=659, step=10260, lr=0.157500, batch loss=0.282321, epoch loss=2.335146 Batch=719, step=10320, lr=0.157250, batch loss=0.287782, epoch loss=2.622928 Batch=779, step=10380, lr=0.157000, batch loss=0.295483, epoch loss=2.918412 Batch=839, step=10440, lr=0.156750, batch loss=0.266834, epoch loss=3.185245 Batch=899, step=10500, lr=0.156500, batch loss=0.242478, epoch loss=3.427723 Batch=959, step=10560, lr=0.156250, batch loss=0.195781, epoch loss=3.623505 Batch=1019, step=10620, lr=0.156000, batch loss=0.281457, epoch loss=3.904962 Batch=1079, step=10680, lr=0.155750, batch loss=0.169944, epoch loss=4.074906 Batch=1139, step=10740, lr=0.155500, batch loss=0.199175, epoch loss=4.274081 Batch=1199, step=10800, lr=0.155250, batch loss=0.153853, epoch loss=4.427934 Epoch=8, step=10800, lr=0.155250, epoch loss=4.427934 Batch=59, step=10860, lr=0.154750, batch loss=0.177860, epoch loss=0.177860 Batch=119, step=10920, lr=0.154750, batch loss=0.150385, epoch loss=0.328245 Batch=179, step=10980, lr=0.154500, batch loss=0.165703, epoch loss=0.493948 Batch=239, step=11040, lr=0.154250, batch loss=0.239839, epoch loss=0.733787 Batch=299, step=11100, lr=0.154000, batch loss=0.173288, epoch loss=0.907075 Batch=359, step=11160, lr=0.153750, batch loss=0.219313, epoch loss=1.126388 Batch=419, step=11220, lr=0.153500, batch loss=0.218426, epoch loss=1.344814 Batch=479, step=11280, lr=0.153250, batch loss=0.210556, epoch loss=1.555370 Batch=539, step=11340, lr=0.153000, batch loss=0.164823, epoch loss=1.720192 Batch=599, step=11400, lr=0.152750, batch loss=0.176697, epoch loss=1.896889 Batch=659, step=11460, lr=0.152500, batch loss=0.266419, epoch loss=2.163308 Batch=719, step=11520, lr=0.152250, batch loss=0.256424, epoch loss=2.419732 Batch=779, step=11580, lr=0.152000, batch loss=0.274679, epoch loss=2.694411 Batch=839, step=11640, lr=0.151750, batch loss=0.254095, epoch loss=2.948506 Batch=899, step=11700, lr=0.151500, batch loss=0.212742, epoch loss=3.161248 Batch=959, step=11760, lr=0.151250, batch loss=0.165873, epoch loss=3.327121 Batch=1019, step=11820, lr=0.151000, batch loss=0.266434, epoch loss=3.593555 Batch=1079, step=11880, lr=0.150750, batch loss=0.148287, epoch loss=3.741842 Batch=1139, step=11940, lr=0.150500, batch loss=0.185876, epoch loss=3.927717 Batch=1199, step=12000, lr=0.150250, batch loss=0.138579, epoch loss=4.066296 Epoch=9, step=12000, lr=0.150250, epoch loss=4.066296 Batch=59, step=12060, lr=0.150000, batch loss=0.162455, epoch loss=0.162455 Batch=119, step=12120, lr=0.149750, batch loss=0.134395, epoch loss=0.296850 Batch=179, step=12180, lr=0.149500, batch loss=0.150725, epoch loss=0.447575 Batch=239, step=12240, lr=0.149250, batch loss=0.218834, epoch loss=0.666409 Batch=299, step=12300, lr=0.149000, batch loss=0.140331, epoch loss=0.806739 Batch=359, step=12360, lr=0.148750, batch loss=0.197540, epoch loss=1.004280 Batch=419, step=12420, lr=0.148500, batch loss=0.205946, epoch loss=1.210226 Batch=479, step=12480, lr=0.148250, batch loss=0.177650, epoch loss=1.387877 Batch=539, step=12540, lr=0.148000, batch loss=0.141847, epoch loss=1.529724 Batch=599, step=12600, lr=0.147500, batch loss=0.147766, epoch loss=1.677490 Batch=659, step=12660, lr=0.147250, batch loss=0.226928, epoch loss=1.904418 Batch=719, step=12720, lr=0.147000, batch loss=0.233668, epoch loss=2.138086 Batch=779, step=12780, lr=0.146750, batch loss=0.264541, epoch loss=2.402627 Batch=839, step=12840, lr=0.146500, batch loss=0.232175, epoch loss=2.634802 Batch=899, step=12900, lr=0.146500, batch loss=0.197592, epoch loss=2.832395 Batch=959, step=12960, lr=0.146250, batch loss=0.153268, epoch loss=2.985662 Batch=1019, step=13020, lr=0.146000, batch loss=0.261192, epoch loss=3.246854 Batch=1079, step=13080, lr=0.145750, batch loss=0.114888, epoch loss=3.361742 Batch=1139, step=13140, lr=0.145500, batch loss=0.154171, epoch loss=3.515913 Batch=1199, step=13200, lr=0.145000, batch loss=0.117145, epoch loss=3.633058 Epoch=10, step=13200, lr=0.145000, epoch loss=3.633058 Batch=59, step=13260, lr=0.145000, batch loss=0.142413, epoch loss=0.142413 Batch=119, step=13320, lr=0.144500, batch loss=0.119261, epoch loss=0.261675 Batch=179, step=13380, lr=0.144250, batch loss=0.126725, epoch loss=0.388400 Batch=239, step=13440, lr=0.144250, batch loss=0.187101, epoch loss=0.575501 Batch=299, step=13500, lr=0.144000, batch loss=0.112691, epoch loss=0.688192 Batch=359, step=13560, lr=0.143500, batch loss=0.160280, epoch loss=0.848472 Batch=419, step=13620, lr=0.143250, batch loss=0.161290, epoch loss=1.009762 Batch=479, step=13680, lr=0.143000, batch loss=0.144415, epoch loss=1.154178 Batch=539, step=13740, lr=0.143000, batch loss=0.117196, epoch loss=1.271374 Batch=599, step=13800, lr=0.142750, batch loss=0.118788, epoch loss=1.390162 Batch=659, step=13860, lr=0.142250, batch loss=0.173696, epoch loss=1.563858 Batch=719, step=13920, lr=0.142000, batch loss=0.175998, epoch loss=1.739856 Batch=779, step=13980, lr=0.142000, batch loss=0.195202, epoch loss=1.935058 Batch=839, step=14040, lr=0.141500, batch loss=0.185550, epoch loss=2.120607 Batch=899, step=14100, lr=0.141250, batch loss=0.176479, epoch loss=2.297086 Batch=959, step=14160, lr=0.141250, batch loss=0.143971, epoch loss=2.441057 Batch=1019, step=14220, lr=0.140750, batch loss=0.328361, epoch loss=2.769418 Batch=1079, step=14280, lr=0.140500, batch loss=0.076556, epoch loss=2.845974 Batch=1139, step=14340, lr=0.140500, batch loss=0.123968, epoch loss=2.969941 Batch=1199, step=14400, lr=0.140250, batch loss=0.092187, epoch loss=3.062129 Epoch=11, step=14400, lr=0.140250, epoch loss=3.062129 Batch=59, step=14460, lr=0.140000, batch loss=0.120603, epoch loss=0.120603 Batch=119, step=14520, lr=0.139750, batch loss=0.108167, epoch loss=0.228771 Batch=179, step=14580, lr=0.139500, batch loss=0.107406, epoch loss=0.336176 Batch=239, step=14640, lr=0.139250, batch loss=0.139363, epoch loss=0.475540 Batch=299, step=14700, lr=0.139000, batch loss=0.066130, epoch loss=0.541670 Batch=359, step=14760, lr=0.138750, batch loss=0.108782, epoch loss=0.650452 Batch=419, step=14820, lr=0.138500, batch loss=0.113881, epoch loss=0.764333 Batch=479, step=14880, lr=0.138250, batch loss=0.097270, epoch loss=0.861603 Batch=539, step=14940, lr=0.138000, batch loss=0.091788, epoch loss=0.953391 Batch=599, step=15000, lr=0.137750, batch loss=0.082729, epoch loss=1.036120 Batch=659, step=15060, lr=0.137500, batch loss=0.124874, epoch loss=1.160995 Batch=719, step=15120, lr=0.137250, batch loss=0.122404, epoch loss=1.283398 Batch=779, step=15180, lr=0.137000, batch loss=0.130739, epoch loss=1.414137 Batch=839, step=15240, lr=0.136750, batch loss=0.181210, epoch loss=1.595347 Batch=899, step=15300, lr=0.136500, batch loss=0.324197, epoch loss=1.919544 Batch=959, step=15360, lr=0.136250, batch loss=0.057891, epoch loss=1.977435 Batch=1019, step=15420, lr=0.136000, batch loss=0.139090, epoch loss=2.116525 Batch=1079, step=15480, lr=0.135750, batch loss=0.047328, epoch loss=2.163853 Batch=1139, step=15540, lr=0.135500, batch loss=0.105314, epoch loss=2.269167 Batch=1199, step=15600, lr=0.135250, batch loss=0.061966, epoch loss=2.331133 Epoch=12, step=15600, lr=0.135250, epoch loss=2.331133 Batch=59, step=15660, lr=0.135000, batch loss=0.074415, epoch loss=0.074415 Batch=119, step=15720, lr=0.134750, batch loss=0.100393, epoch loss=0.174808 Batch=179, step=15780, lr=0.134500, batch loss=0.087128, epoch loss=0.261936 Batch=239, step=15840, lr=0.134250, batch loss=0.091175, epoch loss=0.353111 Batch=299, step=15900, lr=0.134000, batch loss=0.040469, epoch loss=0.393581 Batch=359, step=15960, lr=0.133750, batch loss=0.078055, epoch loss=0.471636 Batch=419, step=16020, lr=0.133250, batch loss=0.079617, epoch loss=0.551253 Batch=479, step=16080, lr=0.133250, batch loss=0.069913, epoch loss=0.621166 Batch=539, step=16140, lr=0.133000, batch loss=0.046681, epoch loss=0.667848 Batch=599, step=16200, lr=0.132750, batch loss=0.101529, epoch loss=0.769377 Batch=659, step=16260, lr=0.132500, batch loss=0.075215, epoch loss=0.844592 Batch=719, step=16320, lr=0.132250, batch loss=0.086903, epoch loss=0.931495 Batch=779, step=16380, lr=0.132000, batch loss=0.136728, epoch loss=1.068223 Batch=839, step=16440, lr=0.131750, batch loss=0.122535, epoch loss=1.190757 Batch=899, step=16500, lr=0.131500, batch loss=0.129813, epoch loss=1.320571 Batch=959, step=16560, lr=0.131250, batch loss=0.041058, epoch loss=1.361629 Batch=1019, step=16620, lr=0.131000, batch loss=0.103051, epoch loss=1.464679 Batch=1079, step=16680, lr=0.130750, batch loss=0.025371, epoch loss=1.490050 Batch=1139, step=16740, lr=0.130500, batch loss=0.056895, epoch loss=1.546946 Batch=1199, step=16800, lr=0.130250, batch loss=0.029819, epoch loss=1.576765 Epoch=13, step=16800, lr=0.130250, epoch loss=1.576765 Batch=59, step=16860, lr=0.130000, batch loss=0.036101, epoch loss=0.036101 Batch=119, step=16920, lr=0.129500, batch loss=0.051022, epoch loss=0.087123 Batch=179, step=16980, lr=0.129500, batch loss=0.050000, epoch loss=0.137123 Batch=239, step=17040, lr=0.129250, batch loss=0.065714, epoch loss=0.202837 Batch=299, step=17100, lr=0.129000, batch loss=0.032344, epoch loss=0.235180 Batch=359, step=17160, lr=0.128750, batch loss=0.049631, epoch loss=0.284812 Batch=419, step=17220, lr=0.128250, batch loss=0.082254, epoch loss=0.367066 Batch=479, step=17280, lr=0.128000, batch loss=0.025372, epoch loss=0.392437 Batch=539, step=17340, lr=0.127750, batch loss=0.032930, epoch loss=0.425367 Batch=599, step=17400, lr=0.127500, batch loss=0.034860, epoch loss=0.460227 Batch=659, step=17460, lr=0.127250, batch loss=0.045804, epoch loss=0.506031 Batch=719, step=17520, lr=0.127250, batch loss=0.036146, epoch loss=0.542177 Batch=779, step=17580, lr=0.126750, batch loss=0.039860, epoch loss=0.582036 Batch=839, step=17640, lr=0.126500, batch loss=0.053143, epoch loss=0.635180 Batch=899, step=17700, lr=0.126250, batch loss=0.048614, epoch loss=0.683794 Batch=959, step=17760, lr=0.126250, batch loss=0.039696, epoch loss=0.723489 Batch=1019, step=17820, lr=0.126000, batch loss=0.095414, epoch loss=0.818903 Batch=1079, step=17880, lr=0.125750, batch loss=0.028964, epoch loss=0.847867 Batch=1139, step=17940, lr=0.125500, batch loss=0.054369, epoch loss=0.902236 Batch=1199, step=18000, lr=0.125000, batch loss=0.021279, epoch loss=0.923515 Epoch=14, step=18000, lr=0.125000, epoch loss=0.923515 Batch=59, step=18060, lr=0.124750, batch loss=0.011362, epoch loss=0.011362 Batch=119, step=18120, lr=0.124500, batch loss=0.025476, epoch loss=0.036837 Batch=179, step=18180, lr=0.124500, batch loss=0.049937, epoch loss=0.086775 Batch=239, step=18240, lr=0.124250, batch loss=0.034617, epoch loss=0.121392 Batch=299, step=18300, lr=0.124000, batch loss=0.008599, epoch loss=0.129991 Batch=359, step=18360, lr=0.123750, batch loss=0.024129, epoch loss=0.154120 Batch=419, step=18420, lr=0.123500, batch loss=0.032256, epoch loss=0.186376 Batch=479, step=18480, lr=0.123250, batch loss=0.025549, epoch loss=0.211925 Batch=539, step=18540, lr=0.123000, batch loss=0.056121, epoch loss=0.268045 Batch=599, step=18600, lr=0.122750, batch loss=0.027437, epoch loss=0.295482 Batch=659, step=18660, lr=0.122500, batch loss=0.032738, epoch loss=0.328220 Batch=719, step=18720, lr=0.122250, batch loss=0.025401, epoch loss=0.353622 Batch=779, step=18780, lr=0.122000, batch loss=0.070177, epoch loss=0.423799 Batch=839, step=18840, lr=0.121750, batch loss=0.050134, epoch loss=0.473932 Batch=899, step=18900, lr=0.121500, batch loss=0.051867, epoch loss=0.525800 Batch=959, step=18960, lr=0.121250, batch loss=0.015259, epoch loss=0.541058 Batch=1019, step=19020, lr=0.120750, batch loss=0.018252, epoch loss=0.559310 Batch=1079, step=19080, lr=0.120750, batch loss=0.008288, epoch loss=0.567599 Batch=1139, step=19140, lr=0.120500, batch loss=0.022734, epoch loss=0.590333 Batch=1199, step=19200, lr=0.120250, batch loss=0.009040, epoch loss=0.599373 Epoch=15, step=19200, lr=0.120250, epoch loss=0.599373 Batch=59, step=19260, lr=0.120000, batch loss=0.004264, epoch loss=0.004264 Batch=119, step=19320, lr=0.119750, batch loss=0.022318, epoch loss=0.026581 Batch=179, step=19380, lr=0.119500, batch loss=0.049064, epoch loss=0.075646 Batch=239, step=19440, lr=0.119250, batch loss=0.021094, epoch loss=0.096739 Batch=299, step=19500, lr=0.119000, batch loss=0.008543, epoch loss=0.105282 Batch=359, step=19560, lr=0.118750, batch loss=0.025419, epoch loss=0.130701 Batch=419, step=19620, lr=0.118500, batch loss=0.019835, epoch loss=0.150535 Batch=479, step=19680, lr=0.118250, batch loss=0.007995, epoch loss=0.158530 Batch=539, step=19740, lr=0.117750, batch loss=0.016738, epoch loss=0.175268 Batch=599, step=19800, lr=0.117750, batch loss=0.020796, epoch loss=0.196063 Batch=659, step=19860, lr=0.117500, batch loss=0.016822, epoch loss=0.212885 Batch=719, step=19920, lr=0.117250, batch loss=0.029655, epoch loss=0.242540 Batch=779, step=19980, lr=0.117000, batch loss=0.064469, epoch loss=0.307009 Batch=839, step=20040, lr=0.116750, batch loss=0.030263, epoch loss=0.337272 Batch=899, step=20100, lr=0.116500, batch loss=0.032607, epoch loss=0.369879 Batch=959, step=20160, lr=0.116250, batch loss=0.015915, epoch loss=0.385795 Batch=1019, step=20220, lr=0.116000, batch loss=0.017210, epoch loss=0.403005 Batch=1079, step=20280, lr=0.115500, batch loss=0.002973, epoch loss=0.405978 Batch=1139, step=20340, lr=0.115250, batch loss=0.014693, epoch loss=0.420671 Batch=1199, step=20400, lr=0.115000, batch loss=0.006074, epoch loss=0.426745 Epoch=16, step=20400, lr=0.115000, epoch loss=0.426745 Batch=59, step=20460, lr=0.114750, batch loss=0.002937, epoch loss=0.002937 Batch=119, step=20520, lr=0.114750, batch loss=0.009833, epoch loss=0.012770 Batch=179, step=20580, lr=0.114500, batch loss=0.020633, epoch loss=0.033403 Batch=239, step=20640, lr=0.114250, batch loss=0.018129, epoch loss=0.051533 Batch=299, step=20700, lr=0.114000, batch loss=0.006703, epoch loss=0.058236 Batch=359, step=20760, lr=0.113750, batch loss=0.012873, epoch loss=0.071109 Batch=419, step=20820, lr=0.113500, batch loss=0.014300, epoch loss=0.085408 Batch=479, step=20880, lr=0.113250, batch loss=0.004697, epoch loss=0.090106 Batch=539, step=20940, lr=0.112750, batch loss=0.015122, epoch loss=0.105227 Batch=599, step=21000, lr=0.112750, batch loss=0.018557, epoch loss=0.123785 Batch=659, step=21060, lr=0.112500, batch loss=0.015166, epoch loss=0.138951 Batch=719, step=21120, lr=0.112250, batch loss=0.041441, epoch loss=0.180392 Batch=779, step=21180, lr=0.112000, batch loss=0.074213, epoch loss=0.254605 Batch=839, step=21240, lr=0.111750, batch loss=0.025535, epoch loss=0.280140 Batch=899, step=21300, lr=0.111500, batch loss=0.028692, epoch loss=0.308832 Batch=959, step=21360, lr=0.111250, batch loss=0.009874, epoch loss=0.318706 Batch=1019, step=21420, lr=0.111000, batch loss=0.010092, epoch loss=0.328798 Batch=1079, step=21480, lr=0.110750, batch loss=0.001992, epoch loss=0.330789 Batch=1139, step=21540, lr=0.110250, batch loss=0.011706, epoch loss=0.342496 Batch=1199, step=21600, lr=0.110250, batch loss=0.004609, epoch loss=0.347104 Epoch=17, step=21600, lr=0.110250, epoch loss=0.347104 Batch=59, step=21660, lr=0.110000, batch loss=0.001623, epoch loss=0.001623 Batch=119, step=21720, lr=0.109500, batch loss=0.006851, epoch loss=0.008474 Batch=179, step=21780, lr=0.109500, batch loss=0.012868, epoch loss=0.021342 Batch=239, step=21840, lr=0.109250, batch loss=0.015114, epoch loss=0.036456 Batch=299, step=21900, lr=0.109000, batch loss=0.004564, epoch loss=0.041020 Batch=359, step=21960, lr=0.108750, batch loss=0.010926, epoch loss=0.051946 Batch=419, step=22020, lr=0.108500, batch loss=0.011638, epoch loss=0.063584 Batch=479, step=22080, lr=0.108250, batch loss=0.002856, epoch loss=0.066440 Batch=539, step=22140, lr=0.108000, batch loss=0.017023, epoch loss=0.083463 Batch=599, step=22200, lr=0.107750, batch loss=0.016178, epoch loss=0.099641 Batch=659, step=22260, lr=0.107500, batch loss=0.014496, epoch loss=0.114137 Batch=719, step=22320, lr=0.107250, batch loss=0.026008, epoch loss=0.140146 Batch=779, step=22380, lr=0.107000, batch loss=0.041193, epoch loss=0.181339 Batch=839, step=22440, lr=0.106750, batch loss=0.020761, epoch loss=0.202100 Batch=899, step=22500, lr=0.106500, batch loss=0.022323, epoch loss=0.224423 Batch=959, step=22560, lr=0.106250, batch loss=0.010626, epoch loss=0.235049 Batch=1019, step=22620, lr=0.106000, batch loss=0.009117, epoch loss=0.244166 Batch=1079, step=22680, lr=0.105750, batch loss=0.000012, epoch loss=0.244177 Batch=1139, step=22740, lr=0.105500, batch loss=0.009884, epoch loss=0.254062 Batch=1199, step=22800, lr=0.105250, batch loss=0.004293, epoch loss=0.258355 Epoch=18, step=22800, lr=0.105250, epoch loss=0.258355 Batch=59, step=22860, lr=0.105000, batch loss=0.001198, epoch loss=0.001198 Batch=119, step=22920, lr=0.104750, batch loss=0.005231, epoch loss=0.006429 Batch=179, step=22980, lr=0.104500, batch loss=0.010011, epoch loss=0.016440 Batch=239, step=23040, lr=0.104250, batch loss=0.008793, epoch loss=0.025234 Batch=299, step=23100, lr=0.104000, batch loss=0.001097, epoch loss=0.026330 Batch=359, step=23160, lr=0.103750, batch loss=0.012318, epoch loss=0.038648 Batch=419, step=23220, lr=0.103500, batch loss=0.010258, epoch loss=0.048906 Batch=479, step=23280, lr=0.103000, batch loss=0.002406, epoch loss=0.051312 Batch=539, step=23340, lr=0.103000, batch loss=0.015561, epoch loss=0.066873 Batch=599, step=23400, lr=0.102750, batch loss=0.013638, epoch loss=0.080511 Batch=659, step=23460, lr=0.102500, batch loss=0.011295, epoch loss=0.091807 Batch=719, step=23520, lr=0.102250, batch loss=0.011559, epoch loss=0.103365 Batch=779, step=23580, lr=0.102000, batch loss=0.017545, epoch loss=0.120911 Batch=839, step=23640, lr=0.101750, batch loss=0.028268, epoch loss=0.149179 Batch=899, step=23700, lr=0.101250, batch loss=0.020024, epoch loss=0.169203 Batch=959, step=23760, lr=0.101250, batch loss=0.009333, epoch loss=0.178536 Batch=1019, step=23820, lr=0.101000, batch loss=0.007654, epoch loss=0.186190 Batch=1079, step=23880, lr=0.100750, batch loss=0.001055, epoch loss=0.187245 Batch=1139, step=23940, lr=0.100500, batch loss=0.008240, epoch loss=0.195485 Batch=1199, step=24000, lr=0.100250, batch loss=0.004356, epoch loss=0.199841 Epoch=19, step=24000, lr=0.100250, epoch loss=0.199841 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************...******************#*######*#********************************.......│ │*******##*##**##**********...........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########**************************........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*******************........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%...............****#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 21:23.25 ---> saved as "3f4174a10bad7697d72eb27c4d053ef5bd00cfc62ff5d27ed14879d60abb591c" Job succeeded 2025-03-20 21:23.26: Job succeeded