2025-03-22 15:30.21: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (2032408f0ade78c11cab2eb31243ad3db51953f9) (linux-x86_64:ubuntu-24.10-5.3_opam-2.3) Base: ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 2032408f cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100 # ubuntu-24.10-5.3_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 2025-03-22 15:30.21: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100-ubuntu-24.10-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-22 15:30.21: Using OBuilder spec: ((from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) (comment ubuntu-24.10-5.3_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")) ) 2025-03-22 15:30.21: Waiting for resource in pool OCluster 2025-03-22 15:30.21: Waiting for worker… 2025-03-22 15:30.21: Got resource from pool OCluster Building on phoebe.caelum.ci.dev HEAD is now at 5bd3107f %cd syntax: Provide projections for scalar constants directly TODO: also special handle operators `!.` and `!..` to use the Scalar slot. HEAD is now at 2032408f More %cd flexibility: derive projections for `!.` and `!..` (from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) 2025-03-22 15:30.22 ---> using "4596744fc3a31520e92f77a93ddee1465e358aef6e37bdf13eead77f318ac19c" from cache /: (comment ubuntu-24.10-5.3_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")) 2025-03-22 15:30.22 ---> using "92dbdccd2ae7da2a97a55cfcdaa39d620d5e2e1b8b97f3dba7905ee379079ded" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 31 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=31 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-22 15:30.22 ---> using "34037fa2027c885ef052f6b26bda0c39d7430cd2fd9bfeab1b457c754e5b1f3d" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-22 15:30.22 ---> using "ad2ab2a4f4e9ea6d10f2f7d75a528b347a9df63d0147bccbe314000671024be6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-22 15:30.22 ---> using "e61d4d6fb57c73a00b7acab9d8781ac5302befef711b2735a195337b8e68d737" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..acfb0e6e94 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) 2025-03-22 15:30.22 ---> using "b874972d3e4076a232741d0cfa563d8019de8c9040d9b0425ca0556b4c7df6ae" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-22 15:30.22 ---> using "cfe2efc7ff513e6f1ee8a4fc74f61f994c21ca17326602c6d3946665d18c5446" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-22 15:30.22 ---> using "06b7a5177e39ab000f43512190bc7e636a849fd46b5d0eb5812a06a0fac2b139" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-22 15:30.22 ---> using "bbff1aebbdda010a01bc321072f49b145b3323668388564f06414573ac9a821b" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://security.ubuntu.com/ubuntu oracular-security InRelease [126 kB] - Hit:2 http://archive.ubuntu.com/ubuntu oracular InRelease - Get:3 http://archive.ubuntu.com/ubuntu oracular-updates InRelease [126 kB] - Get:4 http://archive.ubuntu.com/ubuntu oracular-backports InRelease [126 kB] - Get:5 http://security.ubuntu.com/ubuntu oracular-security/main amd64 Packages [300 kB] - Get:6 http://archive.ubuntu.com/ubuntu oracular-updates/main amd64 Packages [421 kB] - Get:7 http://security.ubuntu.com/ubuntu oracular-security/universe amd64 Packages [191 kB] - Get:8 http://archive.ubuntu.com/ubuntu oracular-updates/universe amd64 Packages [259 kB] - Fetched 1549 kB in 1s (1696 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 ... 16145 files and directories currently installed.) - Preparing to unpack .../libpkgconf3_1.8.1-3ubuntu1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-3ubuntu1) ... - 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 (1.8.1-3ubuntu1) ... - Setting up pkgconf-bin (1.8.1-3ubuntu1) ... - Setting up pkgconf:amd64 (1.8.1-3ubuntu1) ... - Setting up pkg-config:amd64 (1.8.1-3ubuntu1) ... - Processing triggers for libc-bin (2.40-1ubuntu3.1) ... 2025-03-22 15:30.22 ---> using "32916ac598b2d645f14525063194e1c74830ccd124b3601cc3d99f3720053436" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (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 ocaml-compiler-libs.v0.17.0 (cached) -> retrieved num.1.5-1 (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_here.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> 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 ppxlib.0.35.0 (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) -> 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_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 ocaml-syntax-shims.1.0.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed sexplib.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_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) 2025-03-22 15:30.22 ---> using "1e29b3f80230c2650edf6167986e21b36b2addd4e7b1e671f82c79f3cb59146c" from cache /src: (copy (src .) (dst /src)) 2025-03-22 15:30.23 ---> saved as "ead051f816db41a5603d0a73bdec7d0d375a0026b9fa5339901ac30f99ea506b" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/18c73459a1e8d3da3c2882acc352a4c5/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/18c73459a1e8d3da3c2882acc352a4c5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/18c73459a1e8d3da3c2882acc352a4c5/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/079711b901e08f32ef871e6a6ba0878e/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/18c73459a1e8d3da3c2882acc352a4c5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/18c73459a1e8d3da3c2882acc352a4c5/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/18c73459a1e8d3da3c2882acc352a4c5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/18c73459a1e8d3da3c2882acc352a4c5/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/18c73459a1e8d3da3c2882acc352a4c5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/18c73459a1e8d3da3c2882acc352a4c5/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/18c73459a1e8d3da3c2882acc352a4c5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/18c73459a1e8d3da3c2882acc352a4c5/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/18c73459a1e8d3da3c2882acc352a4c5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/18c73459a1e8d3da3c2882acc352a4c5/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/18c73459a1e8d3da3c2882acc352a4c5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/18c73459a1e8d3da3c2882acc352a4c5/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/18c73459a1e8d3da3c2882acc352a4c5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/18c73459a1e8d3da3c2882acc352a4c5/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/18c73459a1e8d3da3c2882acc352a4c5/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/18c73459a1e8d3da3c2882acc352a4c5/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/18c73459a1e8d3da3c2882acc352a4c5/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=0.148250, batch loss=0.206189, epoch loss=1.204793 Batch=479, step=12480, lr=0.148250, batch loss=0.178676, epoch loss=1.383469 Batch=539, step=12540, lr=0.148000, batch loss=0.142651, epoch loss=1.526119 Batch=599, step=12600, lr=0.147750, batch loss=0.150399, epoch loss=1.676518 Batch=659, step=12660, lr=0.147500, batch loss=0.224936, epoch loss=1.901455 Batch=719, step=12720, lr=0.147250, batch loss=0.235244, epoch loss=2.136699 Batch=779, step=12780, lr=0.147000, batch loss=0.252747, epoch loss=2.389446 Batch=839, step=12840, lr=0.146750, batch loss=0.224931, epoch loss=2.614377 Batch=899, step=12900, lr=0.146500, batch loss=0.185356, epoch loss=2.799733 Batch=959, step=12960, lr=0.146250, batch loss=0.148863, epoch loss=2.948596 Batch=1019, step=13020, lr=0.146000, batch loss=0.268132, epoch loss=3.216728 Batch=1079, step=13080, lr=0.145750, batch loss=0.115267, epoch loss=3.331995 Batch=1139, step=13140, lr=0.145500, batch loss=0.155450, epoch loss=3.487444 Batch=1199, step=13200, lr=0.145250, batch loss=0.118525, epoch loss=3.605969 Epoch=10, step=13200, lr=0.145250, epoch loss=3.605969 Batch=59, step=13260, lr=0.145000, batch loss=0.143322, epoch loss=0.143322 Batch=119, step=13320, lr=0.144750, batch loss=0.119739, epoch loss=0.263061 Batch=179, step=13380, lr=0.144500, batch loss=0.127202, epoch loss=0.390263 Batch=239, step=13440, lr=0.144250, batch loss=0.186770, epoch loss=0.577033 Batch=299, step=13500, lr=0.144000, batch loss=0.112788, epoch loss=0.689822 Batch=359, step=13560, lr=0.143750, batch loss=0.161563, epoch loss=0.851385 Batch=419, step=13620, lr=0.143500, batch loss=0.160623, epoch loss=1.012008 Batch=479, step=13680, lr=0.143250, batch loss=0.147297, epoch loss=1.159305 Batch=539, step=13740, lr=0.143000, batch loss=0.118093, epoch loss=1.277399 Batch=599, step=13800, lr=0.142750, batch loss=0.119991, epoch loss=1.397389 Batch=659, step=13860, lr=0.142500, batch loss=0.175919, epoch loss=1.573308 Batch=719, step=13920, lr=0.142250, batch loss=0.172503, epoch loss=1.745811 Batch=779, step=13980, lr=0.142000, batch loss=0.178549, epoch loss=1.924360 Batch=839, step=14040, lr=0.141750, batch loss=0.186021, epoch loss=2.110381 Batch=899, step=14100, lr=0.141500, batch loss=0.178340, epoch loss=2.288721 Batch=959, step=14160, lr=0.141250, batch loss=0.145940, epoch loss=2.434661 Batch=1019, step=14220, lr=0.141000, batch loss=0.330378, epoch loss=2.765039 Batch=1079, step=14280, lr=0.140750, batch loss=0.082590, epoch loss=2.847629 Batch=1139, step=14340, lr=0.140500, batch loss=0.122382, epoch loss=2.970012 Batch=1199, step=14400, lr=0.140250, batch loss=0.091772, epoch loss=3.061784 Epoch=11, step=14400, lr=0.140250, epoch loss=3.061784 Batch=59, step=14460, lr=0.140000, batch loss=0.112715, epoch loss=0.112715 Batch=119, step=14520, lr=0.139750, batch loss=0.102824, epoch loss=0.215539 Batch=179, step=14580, lr=0.139500, batch loss=0.105865, epoch loss=0.321404 Batch=239, step=14640, lr=0.139250, batch loss=0.140930, epoch loss=0.462333 Batch=299, step=14700, lr=0.139000, batch loss=0.081137, epoch loss=0.543470 Batch=359, step=14760, lr=0.138750, batch loss=0.125306, epoch loss=0.668776 Batch=419, step=14820, lr=0.138500, batch loss=0.129284, epoch loss=0.798060 Batch=479, step=14880, lr=0.138250, batch loss=0.101396, epoch loss=0.899456 Batch=539, step=14940, lr=0.138000, batch loss=0.090743, epoch loss=0.990199 Batch=599, step=15000, lr=0.137750, batch loss=0.084918, epoch loss=1.075117 Batch=659, step=15060, lr=0.137500, batch loss=0.129190, epoch loss=1.204307 Batch=719, step=15120, lr=0.137250, batch loss=0.121465, epoch loss=1.325772 Batch=779, step=15180, lr=0.137000, batch loss=0.134522, epoch loss=1.460294 Batch=839, step=15240, lr=0.136750, batch loss=0.174532, epoch loss=1.634826 Batch=899, step=15300, lr=0.136500, batch loss=0.294581, epoch loss=1.929407 Batch=959, step=15360, lr=0.136250, batch loss=0.059329, epoch loss=1.988736 Batch=1019, step=15420, lr=0.136000, batch loss=0.136258, epoch loss=2.124994 Batch=1079, step=15480, lr=0.135750, batch loss=0.049539, epoch loss=2.174533 Batch=1139, step=15540, lr=0.135500, batch loss=0.106149, epoch loss=2.280682 Batch=1199, step=15600, lr=0.135250, batch loss=0.062298, epoch loss=2.342980 Epoch=12, step=15600, lr=0.135250, epoch loss=2.342980 Batch=59, step=15660, lr=0.135000, batch loss=0.077229, epoch loss=0.077229 Batch=119, step=15720, lr=0.134750, batch loss=0.100721, epoch loss=0.177951 Batch=179, step=15780, lr=0.134500, batch loss=0.088267, epoch loss=0.266218 Batch=239, step=15840, lr=0.134250, batch loss=0.090862, epoch loss=0.357080 Batch=299, step=15900, lr=0.134000, batch loss=0.041376, epoch loss=0.398455 Batch=359, step=15960, lr=0.133750, batch loss=0.077599, epoch loss=0.476054 Batch=419, step=16020, lr=0.133500, batch loss=0.083807, epoch loss=0.559861 Batch=479, step=16080, lr=0.133250, batch loss=0.076946, epoch loss=0.636807 Batch=539, step=16140, lr=0.133000, batch loss=0.052625, epoch loss=0.689432 Batch=599, step=16200, lr=0.132750, batch loss=0.097661, epoch loss=0.787093 Batch=659, step=16260, lr=0.132500, batch loss=0.075914, epoch loss=0.863006 Batch=719, step=16320, lr=0.132250, batch loss=0.086914, epoch loss=0.949920 Batch=779, step=16380, lr=0.132000, batch loss=0.127535, epoch loss=1.077454 Batch=839, step=16440, lr=0.131750, batch loss=0.121461, epoch loss=1.198915 Batch=899, step=16500, lr=0.131500, batch loss=0.132580, epoch loss=1.331494 Batch=959, step=16560, lr=0.131250, batch loss=0.042515, epoch loss=1.374009 Batch=1019, step=16620, lr=0.131000, batch loss=0.101941, epoch loss=1.475951 Batch=1079, step=16680, lr=0.130750, batch loss=0.028012, epoch loss=1.503963 Batch=1139, step=16740, lr=0.130500, batch loss=0.056111, epoch loss=1.560074 Batch=1199, step=16800, lr=0.130250, batch loss=0.029365, epoch loss=1.589439 Epoch=13, step=16800, lr=0.130250, epoch loss=1.589439 Batch=59, step=16860, lr=0.130000, batch loss=0.039065, epoch loss=0.039065 Batch=119, step=16920, lr=0.129750, batch loss=0.065296, epoch loss=0.104361 Batch=179, step=16980, lr=0.129500, batch loss=0.053329, epoch loss=0.157690 Batch=239, step=17040, lr=0.129250, batch loss=0.063679, epoch loss=0.221370 Batch=299, step=17100, lr=0.129000, batch loss=0.025498, epoch loss=0.246867 Batch=359, step=17160, lr=0.128750, batch loss=0.046184, epoch loss=0.293051 Batch=419, step=17220, lr=0.128500, batch loss=0.047752, epoch loss=0.340803 Batch=479, step=17280, lr=0.128250, batch loss=0.027252, epoch loss=0.368056 Batch=539, step=17340, lr=0.128000, batch loss=0.054226, epoch loss=0.422282 Batch=599, step=17400, lr=0.127750, batch loss=0.034582, epoch loss=0.456863 Batch=659, step=17460, lr=0.127500, batch loss=0.045900, epoch loss=0.502763 Batch=719, step=17520, lr=0.127250, batch loss=0.040197, epoch loss=0.542960 Batch=779, step=17580, lr=0.127000, batch loss=0.072489, epoch loss=0.615448 Batch=839, step=17640, lr=0.126750, batch loss=0.087000, epoch loss=0.702448 Batch=899, step=17700, lr=0.126500, batch loss=0.116797, epoch loss=0.819245 Batch=959, step=17760, lr=0.126250, batch loss=0.028217, epoch loss=0.847462 Batch=1019, step=17820, lr=0.126000, batch loss=0.047840, epoch loss=0.895302 Batch=1079, step=17880, lr=0.125750, batch loss=0.012705, epoch loss=0.908007 Batch=1139, step=17940, lr=0.125500, batch loss=0.030641, epoch loss=0.938649 Batch=1199, step=18000, lr=0.125250, batch loss=0.014422, epoch loss=0.953070 Epoch=14, step=18000, lr=0.125250, epoch loss=0.953070 Batch=59, step=18060, lr=0.125000, batch loss=0.010751, epoch loss=0.010751 Batch=119, step=18120, lr=0.124750, batch loss=0.041123, epoch loss=0.051874 Batch=179, step=18180, lr=0.124500, batch loss=0.100189, epoch loss=0.152063 Batch=239, step=18240, lr=0.124250, batch loss=0.046396, epoch loss=0.198459 Batch=299, step=18300, lr=0.124000, batch loss=0.009687, epoch loss=0.208146 Batch=359, step=18360, lr=0.123750, batch loss=0.026790, epoch loss=0.234937 Batch=419, step=18420, lr=0.123500, batch loss=0.028257, epoch loss=0.263194 Batch=479, step=18480, lr=0.123250, batch loss=0.015590, epoch loss=0.278784 Batch=539, step=18540, lr=0.123000, batch loss=0.020626, epoch loss=0.299409 Batch=599, step=18600, lr=0.122750, batch loss=0.025928, epoch loss=0.325337 Batch=659, step=18660, lr=0.122500, batch loss=0.028644, epoch loss=0.353981 Batch=719, step=18720, lr=0.122250, batch loss=0.040022, epoch loss=0.394003 Batch=779, step=18780, lr=0.122000, batch loss=0.097760, epoch loss=0.491763 Batch=839, step=18840, lr=0.121750, batch loss=0.058413, epoch loss=0.550176 Batch=899, step=18900, lr=0.121500, batch loss=0.071555, epoch loss=0.621731 Batch=959, step=18960, lr=0.121250, batch loss=0.014291, epoch loss=0.636023 Batch=1019, step=19020, lr=0.121000, batch loss=0.021208, epoch loss=0.657230 Batch=1079, step=19080, lr=0.120750, batch loss=0.008002, epoch loss=0.665232 Batch=1139, step=19140, lr=0.120500, batch loss=0.024104, epoch loss=0.689337 Batch=1199, step=19200, lr=0.120250, batch loss=0.009651, epoch loss=0.698988 Epoch=15, step=19200, lr=0.120250, epoch loss=0.698988 Batch=59, step=19260, lr=0.120000, batch loss=0.005096, epoch loss=0.005096 Batch=119, step=19320, lr=0.119750, batch loss=0.017408, epoch loss=0.022503 Batch=179, step=19380, lr=0.119500, batch loss=0.046098, epoch loss=0.068601 Batch=239, step=19440, lr=0.119250, batch loss=0.021216, epoch loss=0.089817 Batch=299, step=19500, lr=0.119000, batch loss=0.011926, epoch loss=0.101743 Batch=359, step=19560, lr=0.118750, batch loss=0.022877, epoch loss=0.124619 Batch=419, step=19620, lr=0.118500, batch loss=0.018935, epoch loss=0.143554 Batch=479, step=19680, lr=0.118250, batch loss=0.006489, epoch loss=0.150043 Batch=539, step=19740, lr=0.118000, batch loss=0.018656, epoch loss=0.168699 Batch=599, step=19800, lr=0.117750, batch loss=0.023895, epoch loss=0.192594 Batch=659, step=19860, lr=0.117500, batch loss=0.019930, epoch loss=0.212524 Batch=719, step=19920, lr=0.117250, batch loss=0.050011, epoch loss=0.262535 Batch=779, step=19980, lr=0.117000, batch loss=0.081039, epoch loss=0.343574 Batch=839, step=20040, lr=0.116750, batch loss=0.031268, epoch loss=0.374843 Batch=899, step=20100, lr=0.116500, batch loss=0.028648, epoch loss=0.403490 Batch=959, step=20160, lr=0.116250, batch loss=0.018377, epoch loss=0.421867 Batch=1019, step=20220, lr=0.116000, batch loss=0.022902, epoch loss=0.444769 Batch=1079, step=20280, lr=0.115750, batch loss=0.002503, epoch loss=0.447272 Batch=1139, step=20340, lr=0.115500, batch loss=0.014545, epoch loss=0.461817 Batch=1199, step=20400, lr=0.115250, batch loss=0.005835, epoch loss=0.467652 Epoch=16, step=20400, lr=0.115250, epoch loss=0.467652 Batch=59, step=20460, lr=0.115000, batch loss=0.003153, epoch loss=0.003153 Batch=119, step=20520, lr=0.114750, batch loss=0.008583, epoch loss=0.011737 Batch=179, step=20580, lr=0.114500, batch loss=0.014742, epoch loss=0.026479 Batch=239, step=20640, lr=0.114250, batch loss=0.013854, epoch loss=0.040333 Batch=299, step=20700, lr=0.114000, batch loss=0.004872, epoch loss=0.045204 Batch=359, step=20760, lr=0.113750, batch loss=0.014040, epoch loss=0.059244 Batch=419, step=20820, lr=0.113500, batch loss=0.014662, epoch loss=0.073906 Batch=479, step=20880, lr=0.113250, batch loss=0.004887, epoch loss=0.078793 Batch=539, step=20940, lr=0.113000, batch loss=0.015623, epoch loss=0.094416 Batch=599, step=21000, lr=0.112750, batch loss=0.018482, epoch loss=0.112898 Batch=659, step=21060, lr=0.112500, batch loss=0.015343, epoch loss=0.128241 Batch=719, step=21120, lr=0.112250, batch loss=0.039773, epoch loss=0.168014 Batch=779, step=21180, lr=0.112000, batch loss=0.073154, epoch loss=0.241167 Batch=839, step=21240, lr=0.111750, batch loss=0.026049, epoch loss=0.267217 Batch=899, step=21300, lr=0.111500, batch loss=0.035580, epoch loss=0.302797 Batch=959, step=21360, lr=0.111250, batch loss=0.009723, epoch loss=0.312520 Batch=1019, step=21420, lr=0.111000, batch loss=0.011423, epoch loss=0.323943 Batch=1079, step=21480, lr=0.110750, batch loss=0.000668, epoch loss=0.324611 Batch=1139, step=21540, lr=0.110500, batch loss=0.012940, epoch loss=0.337550 Batch=1199, step=21600, lr=0.110250, batch loss=0.005294, epoch loss=0.342844 Epoch=17, step=21600, lr=0.110250, epoch loss=0.342844 Batch=59, step=21660, lr=0.110000, batch loss=0.002234, epoch loss=0.002234 Batch=119, step=21720, lr=0.109750, batch loss=0.006276, epoch loss=0.008510 Batch=179, step=21780, lr=0.109500, batch loss=0.012857, epoch loss=0.021368 Batch=239, step=21840, lr=0.109250, batch loss=0.009918, epoch loss=0.031286 Batch=299, step=21900, lr=0.109000, batch loss=0.015085, epoch loss=0.046371 Batch=359, step=21960, lr=0.108750, batch loss=0.017038, epoch loss=0.063409 Batch=419, step=22020, lr=0.108500, batch loss=0.013209, epoch loss=0.076618 Batch=479, step=22080, lr=0.108250, batch loss=0.003616, epoch loss=0.080234 Batch=539, step=22140, lr=0.108000, batch loss=0.014891, epoch loss=0.095125 Batch=599, step=22200, lr=0.107750, batch loss=0.015975, epoch loss=0.111101 Batch=659, step=22260, lr=0.107500, batch loss=0.014965, epoch loss=0.126066 Batch=719, step=22320, lr=0.107250, batch loss=0.027300, epoch loss=0.153366 Batch=779, step=22380, lr=0.107000, batch loss=0.035672, epoch loss=0.189038 Batch=839, step=22440, lr=0.106750, batch loss=0.026056, epoch loss=0.215093 Batch=899, step=22500, lr=0.106500, batch loss=0.026350, epoch loss=0.241443 Batch=959, step=22560, lr=0.106250, batch loss=0.008992, epoch loss=0.250435 Batch=1019, step=22620, lr=0.106000, batch loss=0.008979, epoch loss=0.259414 Batch=1079, step=22680, lr=0.105750, batch loss=0.000338, epoch loss=0.259752 Batch=1139, step=22740, lr=0.105500, batch loss=0.010763, epoch loss=0.270515 Batch=1199, step=22800, lr=0.105250, batch loss=0.004566, epoch loss=0.275082 Epoch=18, step=22800, lr=0.105250, epoch loss=0.275082 Batch=59, step=22860, lr=0.105000, batch loss=0.001689, epoch loss=0.001689 Batch=119, step=22920, lr=0.104750, batch loss=0.005325, epoch loss=0.007014 Batch=179, step=22980, lr=0.104500, batch loss=0.010691, epoch loss=0.017705 Batch=239, step=23040, lr=0.104250, batch loss=0.009203, epoch loss=0.026908 Batch=299, step=23100, lr=0.104000, batch loss=0.011565, epoch loss=0.038473 Batch=359, step=23160, lr=0.103750, batch loss=0.011133, epoch loss=0.049606 Batch=419, step=23220, lr=0.103500, batch loss=0.011319, epoch loss=0.060924 Batch=479, step=23280, lr=0.103250, batch loss=0.003239, epoch loss=0.064163 Batch=539, step=23340, lr=0.103000, batch loss=0.015244, epoch loss=0.079407 Batch=599, step=23400, lr=0.102750, batch loss=0.014031, epoch loss=0.093438 Batch=659, step=23460, lr=0.102500, batch loss=0.012048, epoch loss=0.105486 Batch=719, step=23520, lr=0.102250, batch loss=0.010200, epoch loss=0.115686 Batch=779, step=23580, lr=0.102000, batch loss=0.018486, epoch loss=0.134172 Batch=839, step=23640, lr=0.101750, batch loss=0.029877, epoch loss=0.164049 Batch=899, step=23700, lr=0.101500, batch loss=0.020238, epoch loss=0.184287 Batch=959, step=23760, lr=0.101250, batch loss=0.009113, epoch loss=0.193400 Batch=1019, step=23820, lr=0.101000, batch loss=0.007934, epoch loss=0.201334 Batch=1079, step=23880, lr=0.100750, batch loss=0.000463, epoch loss=0.201797 Batch=1139, step=23940, lr=0.100500, batch loss=0.009429, epoch loss=0.211226 Batch=1199, step=24000, lr=0.100250, batch loss=0.004472, epoch loss=0.215698 Epoch=19, step=24000, lr=0.100250, epoch loss=0.215698 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########**************************........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%.....**************#*#######**********************......%.%%%%.│ │****#######***********.........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*******************........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%...............****#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-22 15:30.51 ---> saved as "bc1d792e763e5c881e0ad8f45d3cfec526302defb75a972e72e5eb15f1b7b2dd" Job succeeded 2025-03-22 15:30.52: Job succeeded