2025-03-21 12:35.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f874a4ef6a2411811f90ece5dd5e2dcdb77c2779) (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 f874a4ef 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 2025-03-21 12:35.26: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100-ubuntu-24.10-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 12:35.26: 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")) ) 2025-03-21 12:35.26: Waiting for resource in pool OCluster 2025-03-21 12:35.27: Waiting for worker… 2025-03-21 12:35.56: Got resource from pool OCluster Building on phoebe.caelum.ci.dev HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code (from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) 2025-03-21 12:35.58 ---> 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")) 2025-03-21 12:35.59 ---> saved as "92dbdccd2ae7da2a97a55cfcdaa39d620d5e2e1b8b97f3dba7905ee379079ded" /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 Format upgrade done. [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 <><> 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 2025-03-21 12:38.00 ---> saved as "34037fa2027c885ef052f6b26bda0c39d7430cd2fd9bfeab1b457c754e5b1f3d" /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 2025-03-21 12:38.01 ---> saved as "ad2ab2a4f4e9ea6d10f2f7d75a528b347a9df63d0147bccbe314000671024be6" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 12:38.02 ---> saved as "e61d4d6fb57c73a00b7acab9d8781ac5302befef711b2735a195337b8e68d737" /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) 2025-03-21 12:39.45 ---> saved as "b874972d3e4076a232741d0cfa563d8019de8c9040d9b0425ca0556b4c7df6ae" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 12:39.45 ---> saved as "cfe2efc7ff513e6f1ee8a4fc74f61f994c21ca17326602c6d3946665d18c5446" /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) 2025-03-21 12:39.50 ---> saved as "06b7a5177e39ab000f43512190bc7e636a849fd46b5d0eb5812a06a0fac2b139" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 12:39.50 ---> saved as "bbff1aebbdda010a01bc321072f49b145b3323668388564f06414573ac9a821b" /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" - Hit:1 http://archive.ubuntu.com/ubuntu oracular InRelease - Get:2 http://archive.ubuntu.com/ubuntu oracular-updates InRelease [126 kB] - Get:3 http://archive.ubuntu.com/ubuntu oracular-backports InRelease [126 kB] - Get:4 http://security.ubuntu.com/ubuntu oracular-security InRelease [126 kB] - Get:5 http://archive.ubuntu.com/ubuntu oracular-updates/universe amd64 Packages [259 kB] - Get:6 http://archive.ubuntu.com/ubuntu oracular-updates/main amd64 Packages [421 kB] - Get:7 http://security.ubuntu.com/ubuntu oracular-security/main amd64 Packages [300 kB] - Get:8 http://security.ubuntu.com/ubuntu oracular-security/universe amd64 Packages [191 kB] - Fetched 1549 kB in 1s (1862 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) ... 2025-03-21 12:40.18 ---> saved as "32916ac598b2d645f14525063194e1c74830ccd124b3601cc3d99f3720053436" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> 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 ppxlib.0.35.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved 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 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 ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.1.0 -> 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) 2025-03-21 12:42.49 ---> saved as "1e29b3f80230c2650edf6167986e21b36b2addd4e7b1e671f82c79f3cb59146c" /src: (copy (src .) (dst /src)) 2025-03-21 12:42.51 ---> saved as "ecb3395999a467b8f9b5f75d44fb46978a3c5d6c71eb3aaaea07d0226269bbc8" /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/d663e50e7d5ad542ceb14ff0ef3e4361/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/14f4197484500d97b1deb4d947c0006b/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d663e50e7d5ad542ceb14ff0ef3e4361/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d663e50e7d5ad542ceb14ff0ef3e4361/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/d663e50e7d5ad542ceb14ff0ef3e4361/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d663e50e7d5ad542ceb14ff0ef3e4361/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/d663e50e7d5ad542ceb14ff0ef3e4361/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d663e50e7d5ad542ceb14ff0ef3e4361/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/d663e50e7d5ad542ceb14ff0ef3e4361/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d663e50e7d5ad542ceb14ff0ef3e4361/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/d663e50e7d5ad542ceb14ff0ef3e4361/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d663e50e7d5ad542ceb14ff0ef3e4361/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/d663e50e7d5ad542ceb14ff0ef3e4361/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d663e50e7d5ad542ceb14ff0ef3e4361/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/d663e50e7d5ad542ceb14ff0ef3e4361/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d663e50e7d5ad542ceb14ff0ef3e4361/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/d663e50e7d5ad542ceb14ff0ef3e4361/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d663e50e7d5ad542ceb14ff0ef3e4361/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/d663e50e7d5ad542ceb14ff0ef3e4361/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/d663e50e7d5ad542ceb14ff0ef3e4361/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/d663e50e7d5ad542ceb14ff0ef3e4361/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=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199000, batch loss=0.855278, epoch loss=35.626096 Batch=299, step=300, lr=0.198750, batch loss=1.435625, epoch loss=37.061721 Batch=359, step=360, lr=0.198500, batch loss=1.338357, epoch loss=38.400078 Batch=419, step=420, lr=0.198500, batch loss=0.611323, epoch loss=39.011400 Batch=479, step=480, lr=0.198250, batch loss=0.746689, epoch loss=39.758089 Batch=539, step=540, lr=0.198000, batch loss=0.690383, epoch loss=40.448472 Batch=599, step=600, lr=0.197750, batch loss=1.102714, epoch loss=41.551186 Batch=659, step=660, lr=0.197500, batch loss=0.481803, epoch loss=42.032989 Batch=719, step=720, lr=0.197250, batch loss=0.410621, epoch loss=42.443610 Batch=779, step=780, lr=0.197000, batch loss=0.469181, epoch loss=42.912791 Batch=839, step=840, lr=0.196750, batch loss=0.450309, epoch loss=43.363100 Batch=899, step=900, lr=0.196500, batch loss=0.383504, epoch loss=43.746604 Batch=959, step=960, lr=0.196250, batch loss=0.268401, epoch loss=44.015005 Batch=1019, step=1020, lr=0.196000, batch loss=0.487093, epoch loss=44.502098 Batch=1079, step=1080, lr=0.195750, batch loss=0.265766, epoch loss=44.767864 Batch=1139, step=1140, lr=0.195500, batch loss=0.330512, epoch loss=45.098376 Batch=1199, step=1200, lr=0.195000, batch loss=0.265356, epoch loss=45.363732 Epoch=0, step=1200, lr=0.195000, epoch loss=45.363732 Batch=59, step=1260, lr=0.194750, batch loss=0.263321, epoch loss=0.263321 Batch=119, step=1320, lr=0.194750, batch loss=0.204450, epoch loss=0.467771 Batch=179, step=1380, lr=0.194500, batch loss=0.245329, epoch loss=0.713100 Batch=239, step=1440, lr=0.194000, batch loss=0.349830, epoch loss=1.062930 Batch=299, step=1500, lr=0.194000, batch loss=0.239401, epoch loss=1.302331 Batch=359, step=1560, lr=0.193750, batch loss=0.319596, epoch loss=1.621927 Batch=419, step=1620, lr=0.193500, batch loss=0.312294, epoch loss=1.934222 Batch=479, step=1680, lr=0.193250, batch loss=0.277014, epoch loss=2.211236 Batch=539, step=1740, lr=0.193000, batch loss=0.209466, epoch loss=2.420701 Batch=599, step=1800, lr=0.192750, batch loss=0.245342, epoch loss=2.666043 Batch=659, step=1860, lr=0.192500, batch loss=0.362947, epoch loss=3.028990 Batch=719, step=1920, lr=0.192250, batch loss=0.356163, epoch loss=3.385153 Batch=779, step=1980, lr=0.192000, batch loss=0.378249, epoch loss=3.763402 Batch=839, step=2040, lr=0.191750, batch loss=0.341322, epoch loss=4.104724 Batch=899, step=2100, lr=0.191500, batch loss=0.296245, epoch loss=4.400969 Batch=959, step=2160, lr=0.191250, batch loss=0.209126, epoch loss=4.610095 Batch=1019, step=2220, lr=0.190750, batch loss=0.332710, epoch loss=4.942804 Batch=1079, step=2280, lr=0.190750, batch loss=0.193242, epoch loss=5.136046 Batch=1139, step=2340, lr=0.190500, batch loss=0.264575, epoch loss=5.400621 Batch=1199, step=2400, lr=0.190250, batch loss=0.213301, epoch loss=5.613922 Epoch=1, step=2400, lr=0.190250, epoch loss=5.613922 Batch=59, step=2460, lr=0.190000, batch loss=0.231811, epoch loss=0.231811 Batch=119, step=2520, lr=0.189750, batch loss=0.197718, epoch loss=0.429529 Batch=179, step=2580, lr=0.189500, batch loss=0.220389, epoch loss=0.649918 Batch=239, step=2640, lr=0.189250, batch loss=0.328531, epoch loss=0.978448 Batch=299, step=2700, lr=0.189000, batch loss=0.205791, epoch loss=1.184239 Batch=359, step=2760, lr=0.188750, batch loss=0.293135, epoch loss=1.477374 Batch=419, step=2820, lr=0.188500, batch loss=0.281390, epoch loss=1.758764 Batch=479, step=2880, lr=0.188250, batch loss=0.255816, epoch loss=2.014580 Batch=539, step=2940, lr=0.187750, batch loss=0.195636, epoch loss=2.210216 Batch=599, step=3000, lr=0.187750, batch loss=0.236958, epoch loss=2.447175 Batch=659, step=3060, lr=0.187500, batch loss=0.346513, epoch loss=2.793688 Batch=719, step=3120, lr=0.187250, batch loss=0.347060, epoch loss=3.140748 Batch=779, step=3180, lr=0.187000, batch loss=0.364463, epoch loss=3.505211 Batch=839, step=3240, lr=0.186750, batch loss=0.324577, epoch loss=3.829788 Batch=899, step=3300, lr=0.186500, batch loss=0.297595, epoch loss=4.127383 Batch=959, step=3360, lr=0.186250, batch loss=0.243146, epoch loss=4.370529 Batch=1019, step=3420, lr=0.185750, batch loss=0.372388, epoch loss=4.742918 Batch=1079, step=3480, lr=0.185750, batch loss=0.231853, epoch loss=4.974770 Batch=1139, step=3540, lr=0.185500, batch loss=0.262480, epoch loss=5.237251 Batch=1199, step=3600, lr=0.185250, batch loss=0.202026, epoch loss=5.439276 Epoch=2, step=3600, lr=0.185250, epoch loss=5.439276 Batch=59, step=3660, lr=0.185000, batch loss=0.223462, epoch loss=0.223462 Batch=119, step=3720, lr=0.184750, batch loss=0.185554, epoch loss=0.409016 Batch=179, step=3780, lr=0.184500, batch loss=0.213113, epoch loss=0.622129 Batch=239, step=3840, lr=0.184250, batch loss=0.316523, epoch loss=0.938652 Batch=299, step=3900, lr=0.184000, batch loss=0.207243, epoch loss=1.145895 Batch=359, step=3960, lr=0.183750, batch loss=0.287688, epoch loss=1.433583 Batch=419, step=4020, lr=0.183500, batch loss=0.276245, epoch loss=1.709828 Batch=479, step=4080, lr=0.183250, batch loss=0.258575, epoch loss=1.968404 Batch=539, step=4140, lr=0.183000, batch loss=0.196292, epoch loss=2.164696 Batch=599, step=4200, lr=0.182750, batch loss=0.240366, epoch loss=2.405062 Batch=659, step=4260, lr=0.182500, batch loss=0.330341, epoch loss=2.735403 Batch=719, step=4320, lr=0.182250, batch loss=0.329599, epoch loss=3.065001 Batch=779, step=4380, lr=0.182000, batch loss=0.353959, epoch loss=3.418960 Batch=839, step=4440, lr=0.181750, batch loss=0.319012, epoch loss=3.737972 Batch=899, step=4500, lr=0.181500, batch loss=0.295057, epoch loss=4.033029 Batch=959, step=4560, lr=0.181250, batch loss=0.242525, epoch loss=4.275554 Batch=1019, step=4620, lr=0.181000, batch loss=0.345986, epoch loss=4.621540 Batch=1079, step=4680, lr=0.180750, batch loss=0.214952, epoch loss=4.836492 Batch=1139, step=4740, lr=0.180500, batch loss=0.249760, epoch loss=5.086252 Batch=1199, step=4800, lr=0.180250, batch loss=0.191213, epoch loss=5.277465 Epoch=3, step=4800, lr=0.180250, epoch loss=5.277465 Batch=59, step=4860, lr=0.180000, batch loss=0.221799, epoch loss=0.221799 Batch=119, step=4920, lr=0.179750, batch loss=0.184228, epoch loss=0.406027 Batch=179, step=4980, lr=0.179500, batch loss=0.208257, epoch loss=0.614284 Batch=239, step=5040, lr=0.179250, batch loss=0.310895, epoch loss=0.925179 Batch=299, step=5100, lr=0.179000, batch loss=0.206590, epoch loss=1.131768 Batch=359, step=5160, lr=0.178750, batch loss=0.275951, epoch loss=1.407719 Batch=419, step=5220, lr=0.178500, batch loss=0.266124, epoch loss=1.673843 Batch=479, step=5280, lr=0.178250, batch loss=0.241529, epoch loss=1.915373 Batch=539, step=5340, lr=0.178000, batch loss=0.188352, epoch loss=2.103724 Batch=599, step=5400, lr=0.177500, batch loss=0.231920, epoch loss=2.335644 Batch=659, step=5460, lr=0.177500, batch loss=0.324854, epoch loss=2.660498 Batch=719, step=5520, lr=0.177250, batch loss=0.322894, epoch loss=2.983391 Batch=779, step=5580, lr=0.177000, batch loss=0.345612, epoch loss=3.329004 Batch=839, step=5640, lr=0.176750, batch loss=0.310876, epoch loss=3.639880 Batch=899, step=5700, lr=0.176500, batch loss=0.272808, epoch loss=3.912688 Batch=959, step=5760, lr=0.176250, batch loss=0.216901, epoch loss=4.129589 Batch=1019, step=5820, lr=0.176000, batch loss=0.335892, epoch loss=4.465480 Batch=1079, step=5880, lr=0.175750, batch loss=0.189706, epoch loss=4.655187 Batch=1139, step=5940, lr=0.175500, batch loss=0.224723, epoch loss=4.879910 Batch=1199, step=6000, lr=0.175250, batch loss=0.189869, epoch loss=5.069779 Epoch=4, step=6000, lr=0.175250, epoch loss=5.069779 Batch=59, step=6060, lr=0.175000, batch loss=0.233204, epoch loss=0.233204 Batch=119, step=6120, lr=0.174750, batch loss=0.193157, epoch loss=0.426361 Batch=179, step=6180, lr=0.174500, batch loss=0.202842, epoch loss=0.629204 Batch=239, step=6240, lr=0.174250, batch loss=0.299896, epoch loss=0.929100 Batch=299, step=6300, lr=0.174000, batch loss=0.200984, epoch loss=1.130084 Batch=359, step=6360, lr=0.173750, batch loss=0.264471, epoch loss=1.394555 Batch=419, step=6420, lr=0.173250, batch loss=0.259026, epoch loss=1.653581 Batch=479, step=6480, lr=0.173250, batch loss=0.235830, epoch loss=1.889411 Batch=539, step=6540, lr=0.173000, batch loss=0.184788, epoch loss=2.074199 Batch=599, step=6600, lr=0.172750, batch loss=0.228371, epoch loss=2.302570 Batch=659, step=6660, lr=0.172250, batch loss=0.315798, epoch loss=2.618369 Batch=719, step=6720, lr=0.172250, batch loss=0.316396, epoch loss=2.934765 Batch=779, step=6780, lr=0.172000, batch loss=0.331211, epoch loss=3.265976 Batch=839, step=6840, lr=0.171500, batch loss=0.306208, epoch loss=3.572183 Batch=899, step=6900, lr=0.171250, batch loss=0.271024, epoch loss=3.843207 Batch=959, step=6960, lr=0.171250, batch loss=0.204736, epoch loss=4.047943 Batch=1019, step=7020, lr=0.170750, batch loss=0.334448, epoch loss=4.382391 Batch=1079, step=7080, lr=0.170750, batch loss=0.195003, epoch loss=4.577395 Batch=1139, step=7140, lr=0.170250, batch loss=0.233248, epoch loss=4.810643 Batch=1199, step=7200, lr=0.170000, batch loss=0.181402, epoch loss=4.992045 Epoch=5, step=7200, lr=0.170000, epoch loss=4.992045 Batch=59, step=7260, lr=0.170000, batch loss=0.220775, epoch loss=0.220775 Batch=119, step=7320, lr=0.169750, batch loss=0.180824, epoch loss=0.401599 Batch=179, step=7380, lr=0.169500, batch loss=0.196555, epoch loss=0.598154 Batch=239, step=7440, lr=0.169250, batch loss=0.292558, epoch loss=0.890712 Batch=299, step=7500, lr=0.168750, batch loss=0.201696, epoch loss=1.092408 Batch=359, step=7560, lr=0.168500, batch loss=0.259093, epoch loss=1.351501 Batch=419, step=7620, lr=0.168500, batch loss=0.257823, epoch loss=1.609324 Batch=479, step=7680, lr=0.168250, batch loss=0.236698, epoch loss=1.846022 Batch=539, step=7740, lr=0.167750, batch loss=0.188382, epoch loss=2.034405 Batch=599, step=7800, lr=0.167500, batch loss=0.224509, epoch loss=2.258914 Batch=659, step=7860, lr=0.167500, batch loss=0.306082, epoch loss=2.564996 Batch=719, step=7920, lr=0.167000, batch loss=0.309701, epoch loss=2.874697 Batch=779, step=7980, lr=0.167000, batch loss=0.326572, epoch loss=3.201268 Batch=839, step=8040, lr=0.166750, batch loss=0.293594, epoch loss=3.494862 Batch=899, step=8100, lr=0.166500, batch loss=0.261965, epoch loss=3.756828 Batch=959, step=8160, lr=0.166250, batch loss=0.203120, epoch loss=3.959948 Batch=1019, step=8220, lr=0.166000, batch loss=0.319996, epoch loss=4.279944 Batch=1079, step=8280, lr=0.165500, batch loss=0.168389, epoch loss=4.448333 Batch=1139, step=8340, lr=0.165500, batch loss=0.205744, epoch loss=4.654077 Batch=1199, step=8400, lr=0.165250, batch loss=0.180396, epoch loss=4.834473 Epoch=6, step=8400, lr=0.165250, epoch loss=4.834473 Batch=59, step=8460, lr=0.164750, batch loss=0.226867, epoch loss=0.226867 Batch=119, step=8520, lr=0.164750, batch loss=0.178250, epoch loss=0.405118 Batch=179, step=8580, lr=0.164500, batch loss=0.187471, epoch loss=0.592589 Batch=239, step=8640, lr=0.164250, batch loss=0.278052, epoch loss=0.870640 Batch=299, step=8700, lr=0.164000, batch loss=0.192648, epoch loss=1.063288 Batch=359, step=8760, lr=0.163750, batch loss=0.250010, epoch loss=1.313298 Batch=419, step=8820, lr=0.163500, batch loss=0.245612, epoch loss=1.558910 Batch=479, step=8880, lr=0.163250, batch loss=0.228352, epoch loss=1.787262 Batch=539, step=8940, lr=0.163000, batch loss=0.181018, epoch loss=1.968281 Batch=599, step=9000, lr=0.162750, batch loss=0.217163, epoch loss=2.185444 Batch=659, step=9060, lr=0.162500, batch loss=0.294118, epoch loss=2.479561 Batch=719, step=9120, lr=0.162250, batch loss=0.295792, epoch loss=2.775353 Batch=779, step=9180, lr=0.161750, batch loss=0.317030, epoch loss=3.092383 Batch=839, step=9240, lr=0.161750, batch loss=0.287023, epoch loss=3.379406 Batch=899, step=9300, lr=0.161500, batch loss=0.251263, epoch loss=3.630669 Batch=959, step=9360, lr=0.161000, batch loss=0.193835, epoch loss=3.824505 Batch=1019, step=9420, lr=0.161000, batch loss=0.312960, epoch loss=4.137465 Batch=1079, step=9480, lr=0.160750, batch loss=0.188702, epoch loss=4.326168 Batch=1139, step=9540, lr=0.160500, batch loss=0.214072, epoch loss=4.540239 Batch=1199, step=9600, lr=0.160250, batch loss=0.167287, epoch loss=4.707526 Epoch=7, step=9600, lr=0.160250, epoch loss=4.707526 Batch=59, step=9660, lr=0.160000, batch loss=0.201797, epoch loss=0.201797 Batch=119, step=9720, lr=0.159750, batch loss=0.172117, epoch loss=0.373914 Batch=179, step=9780, lr=0.159500, batch loss=0.178977, epoch loss=0.552892 Batch=239, step=9840, lr=0.159250, batch loss=0.261494, epoch loss=0.814386 Batch=299, step=9900, lr=0.159000, batch loss=0.186521, epoch loss=1.000907 Batch=359, step=9960, lr=0.158750, batch loss=0.240674, epoch loss=1.241581 Batch=419, step=10020, lr=0.158250, batch loss=0.235105, epoch loss=1.476686 Batch=479, step=10080, lr=0.158250, batch loss=0.220897, epoch loss=1.697583 Batch=539, step=10140, lr=0.158000, batch loss=0.166273, epoch loss=1.863856 Batch=599, step=10200, lr=0.157750, batch loss=0.203526, epoch loss=2.067383 Batch=659, step=10260, lr=0.157500, batch loss=0.282174, epoch loss=2.349556 Batch=719, step=10320, lr=0.157250, batch loss=0.282004, epoch loss=2.631560 Batch=779, step=10380, lr=0.157000, batch loss=0.296212, epoch loss=2.927772 Batch=839, step=10440, lr=0.156750, batch loss=0.272041, epoch loss=3.199814 Batch=899, step=10500, lr=0.156500, batch loss=0.236478, epoch loss=3.436292 Batch=959, step=10560, lr=0.156000, batch loss=0.180898, epoch loss=3.617190 Batch=1019, step=10620, lr=0.156000, batch loss=0.298355, epoch loss=3.915545 Batch=1079, step=10680, lr=0.155750, batch loss=0.181681, epoch loss=4.097226 Batch=1139, step=10740, lr=0.155500, batch loss=0.206321, epoch loss=4.303547 Batch=1199, step=10800, lr=0.155250, batch loss=0.155964, epoch loss=4.459511 Epoch=8, step=10800, lr=0.155250, epoch loss=4.459511 Batch=59, step=10860, lr=0.155000, batch loss=0.180613, epoch loss=0.180613 Batch=119, step=10920, lr=0.154500, batch loss=0.151016, epoch loss=0.331629 Batch=179, step=10980, lr=0.154500, batch loss=0.166868, epoch loss=0.498497 Batch=239, step=11040, lr=0.154250, batch loss=0.246689, epoch loss=0.745186 Batch=299, step=11100, lr=0.154000, batch loss=0.160763, epoch loss=0.905949 Batch=359, step=11160, lr=0.153750, batch loss=0.217593, epoch loss=1.123541 Batch=419, step=11220, lr=0.153500, batch loss=0.217681, epoch loss=1.341223 Batch=479, step=11280, lr=0.153250, batch loss=0.211681, epoch loss=1.552904 Batch=539, step=11340, lr=0.153000, batch loss=0.163236, epoch loss=1.716139 Batch=599, step=11400, lr=0.152750, batch loss=0.176999, epoch loss=1.893138 Batch=659, step=11460, lr=0.152250, batch loss=0.266329, epoch loss=2.159467 Batch=719, step=11520, lr=0.152250, batch loss=0.265838, epoch loss=2.425305 Batch=779, step=11580, lr=0.152000, batch loss=0.273151, epoch loss=2.698456 Batch=839, step=11640, lr=0.151750, batch loss=0.251527, epoch loss=2.949983 Batch=899, step=11700, lr=0.151250, batch loss=0.219313, epoch loss=3.169296 Batch=959, step=11760, lr=0.151250, batch loss=0.189428, epoch loss=3.358723 Batch=1019, step=11820, lr=0.151000, batch loss=0.291720, epoch loss=3.650443 Batch=1079, step=11880, lr=0.150750, batch loss=0.146336, epoch loss=3.796779 Batch=1139, step=11940, lr=0.150500, batch loss=0.188701, epoch loss=3.985480 Batch=1199, step=12000, lr=0.150250, batch loss=0.138985, epoch loss=4.124464 Epoch=9, step=12000, lr=0.150250, epoch loss=4.124464 Batch=59, step=12060, lr=0.150000, batch loss=0.162331, epoch loss=0.162331 Batch=119, step=12120, lr=0.149750, batch loss=0.136368, epoch loss=0.298700 Batch=179, step=12180, lr=0.149500, batch loss=0.151339, epoch loss=0.450039 Batch=239, step=12240, lr=0.149250, batch loss=0.219916, epoch loss=0.669955 Batch=299, step=12300, lr=0.149000, batch loss=0.141569, epoch loss=0.811524 Batch=359, step=12360, lr=0.148750, batch loss=0.195448, epoch loss=1.006972 Batch=419, step=12420, lr=0.148500, batch loss=0.193147, epoch loss=1.200119 Batch=479, step=12480, lr=0.148250, batch loss=0.183230, epoch loss=1.383349 Batch=539, step=12540, lr=0.148000, batch loss=0.140142, epoch loss=1.523491 Batch=599, step=12600, lr=0.147500, batch loss=0.152394, epoch loss=1.675885 Batch=659, step=12660, lr=0.147500, batch loss=0.237013, epoch loss=1.912898 Batch=719, step=12720, lr=0.147250, batch loss=0.236223, epoch loss=2.149120 Batch=779, step=12780, lr=0.147000, batch loss=0.264584, epoch loss=2.413704 Batch=839, step=12840, lr=0.146750, batch loss=0.235953, epoch loss=2.649657 Batch=899, step=12900, lr=0.146500, batch loss=0.224237, epoch loss=2.873894 Batch=959, step=12960, lr=0.146250, batch loss=0.143089, epoch loss=3.016983 Batch=1019, step=13020, lr=0.146000, batch loss=0.235796, epoch loss=3.252779 Batch=1079, step=13080, lr=0.145750, batch loss=0.108821, epoch loss=3.361600 Batch=1139, step=13140, lr=0.145500, batch loss=0.149236, epoch loss=3.510836 Batch=1199, step=13200, lr=0.145250, batch loss=0.116730, epoch loss=3.627566 Epoch=10, step=13200, lr=0.145250, epoch loss=3.627566 Batch=59, step=13260, lr=0.145000, batch loss=0.141350, epoch loss=0.141350 Batch=119, step=13320, lr=0.144750, batch loss=0.122687, epoch loss=0.264038 Batch=179, step=13380, lr=0.144500, batch loss=0.129094, epoch loss=0.393131 Batch=239, step=13440, lr=0.144250, batch loss=0.193478, epoch loss=0.586609 Batch=299, step=13500, lr=0.144000, batch loss=0.118733, epoch loss=0.705342 Batch=359, step=13560, lr=0.143750, batch loss=0.167479, epoch loss=0.872821 Batch=419, step=13620, lr=0.143500, batch loss=0.182793, epoch loss=1.055614 Batch=479, step=13680, lr=0.143250, batch loss=0.138017, epoch loss=1.193631 Batch=539, step=13740, lr=0.143000, batch loss=0.118301, epoch loss=1.311932 Batch=599, step=13800, lr=0.142750, batch loss=0.120404, epoch loss=1.432336 Batch=659, step=13860, lr=0.142500, batch loss=0.178151, epoch loss=1.610487 Batch=719, step=13920, lr=0.142250, batch loss=0.175969, epoch loss=1.786456 Batch=779, step=13980, lr=0.142000, batch loss=0.200343, epoch loss=1.986799 Batch=839, step=14040, lr=0.141750, batch loss=0.204895, epoch loss=2.191694 Batch=899, step=14100, lr=0.141500, batch loss=0.224865, epoch loss=2.416559 Batch=959, step=14160, lr=0.141250, batch loss=0.100051, epoch loss=2.516609 Batch=1019, step=14220, lr=0.141000, batch loss=0.204379, epoch loss=2.720988 Batch=1079, step=14280, lr=0.140750, batch loss=0.073729, epoch loss=2.794717 Batch=1139, step=14340, lr=0.140500, batch loss=0.112810, epoch loss=2.907527 Batch=1199, step=14400, lr=0.140250, batch loss=0.086307, epoch loss=2.993835 Epoch=11, step=14400, lr=0.140250, epoch loss=2.993835 Batch=59, step=14460, lr=0.140000, batch loss=0.108082, epoch loss=0.108082 Batch=119, step=14520, lr=0.139750, batch loss=0.106199, epoch loss=0.214281 Batch=179, step=14580, lr=0.139250, batch loss=0.100385, epoch loss=0.314666 Batch=239, step=14640, lr=0.139250, batch loss=0.142717, epoch loss=0.457382 Batch=299, step=14700, lr=0.139000, batch loss=0.076529, epoch loss=0.533911 Batch=359, step=14760, lr=0.138750, batch loss=0.122992, epoch loss=0.656903 Batch=419, step=14820, lr=0.138500, batch loss=0.129114, epoch loss=0.786017 Batch=479, step=14880, lr=0.138250, batch loss=0.106254, epoch loss=0.892271 Batch=539, step=14940, lr=0.138000, batch loss=0.108075, epoch loss=1.000345 Batch=599, step=15000, lr=0.137750, batch loss=0.084263, epoch loss=1.084608 Batch=659, step=15060, lr=0.137500, batch loss=0.135091, epoch loss=1.219699 Batch=719, step=15120, lr=0.137250, batch loss=0.158287, epoch loss=1.377986 Batch=779, step=15180, lr=0.137000, batch loss=0.261291, epoch loss=1.639277 Batch=839, step=15240, lr=0.136750, batch loss=0.147162, epoch loss=1.786439 Batch=899, step=15300, lr=0.136500, batch loss=0.146563, epoch loss=1.933002 Batch=959, step=15360, lr=0.136250, batch loss=0.076398, epoch loss=2.009401 Batch=1019, step=15420, lr=0.136000, batch loss=0.167417, epoch loss=2.176818 Batch=1079, step=15480, lr=0.135750, batch loss=0.040635, epoch loss=2.217453 Batch=1139, step=15540, lr=0.135250, batch loss=0.093218, epoch loss=2.310671 Batch=1199, step=15600, lr=0.135000, batch loss=0.058507, epoch loss=2.369178 Epoch=12, step=15600, lr=0.135000, epoch loss=2.369178 Batch=59, step=15660, lr=0.135000, batch loss=0.077675, epoch loss=0.077675 Batch=119, step=15720, lr=0.134750, batch loss=0.124865, epoch loss=0.202540 Batch=179, step=15780, lr=0.134500, batch loss=0.091130, epoch loss=0.293670 Batch=239, step=15840, lr=0.134250, batch loss=0.093949, epoch loss=0.387619 Batch=299, step=15900, lr=0.134000, batch loss=0.040594, epoch loss=0.428213 Batch=359, step=15960, lr=0.133750, batch loss=0.080464, epoch loss=0.508677 Batch=419, step=16020, lr=0.133250, batch loss=0.083952, epoch loss=0.592629 Batch=479, step=16080, lr=0.133250, batch loss=0.070895, epoch loss=0.663524 Batch=539, step=16140, lr=0.133000, batch loss=0.062868, epoch loss=0.726392 Batch=599, step=16200, lr=0.132750, batch loss=0.139907, epoch loss=0.866299 Batch=659, step=16260, lr=0.132500, batch loss=0.083614, epoch loss=0.949913 Batch=719, step=16320, lr=0.132250, batch loss=0.136056, epoch loss=1.085970 Batch=779, step=16380, lr=0.132000, batch loss=0.346055, epoch loss=1.432025 Batch=839, step=16440, lr=0.131750, batch loss=0.102400, epoch loss=1.534425 Batch=899, step=16500, lr=0.131250, batch loss=0.093949, epoch loss=1.628374 Batch=959, step=16560, lr=0.131250, batch loss=0.035906, epoch loss=1.664280 Batch=1019, step=16620, lr=0.130750, batch loss=0.064385, epoch loss=1.728666 Batch=1079, step=16680, lr=0.130750, batch loss=0.052519, epoch loss=1.781185 Batch=1139, step=16740, lr=0.130500, batch loss=0.100528, epoch loss=1.881713 Batch=1199, step=16800, lr=0.130250, batch loss=0.050706, epoch loss=1.932420 Epoch=13, step=16800, lr=0.130250, epoch loss=1.932420 Batch=59, step=16860, lr=0.130000, batch loss=0.035382, epoch loss=0.035382 Batch=119, step=16920, lr=0.129750, batch loss=0.035273, epoch loss=0.070655 Batch=179, step=16980, lr=0.129500, batch loss=0.044348, epoch loss=0.115004 Batch=239, step=17040, lr=0.129000, batch loss=0.065098, epoch loss=0.180102 Batch=299, step=17100, lr=0.129000, batch loss=0.031142, epoch loss=0.211244 Batch=359, step=17160, lr=0.128750, batch loss=0.046649, epoch loss=0.257893 Batch=419, step=17220, lr=0.128500, batch loss=0.063644, epoch loss=0.321538 Batch=479, step=17280, lr=0.128250, batch loss=0.023997, epoch loss=0.345534 Batch=539, step=17340, lr=0.128000, batch loss=0.027580, epoch loss=0.373115 Batch=599, step=17400, lr=0.127750, batch loss=0.037513, epoch loss=0.410627 Batch=659, step=17460, lr=0.127500, batch loss=0.047059, epoch loss=0.457686 Batch=719, step=17520, lr=0.127000, batch loss=0.040805, epoch loss=0.498492 Batch=779, step=17580, lr=0.127000, batch loss=0.040466, epoch loss=0.538957 Batch=839, step=17640, lr=0.126750, batch loss=0.059251, epoch loss=0.598208 Batch=899, step=17700, lr=0.126500, batch loss=0.061447, epoch loss=0.659655 Batch=959, step=17760, lr=0.126000, batch loss=0.034872, epoch loss=0.694527 Batch=1019, step=17820, lr=0.126000, batch loss=0.086771, epoch loss=0.781298 Batch=1079, step=17880, lr=0.125750, batch loss=0.022769, epoch loss=0.804068 Batch=1139, step=17940, lr=0.125500, batch loss=0.050990, epoch loss=0.855057 Batch=1199, step=18000, lr=0.125250, batch loss=0.021062, epoch loss=0.876119 Epoch=14, step=18000, lr=0.125250, epoch loss=0.876119 Batch=59, step=18060, lr=0.125000, batch loss=0.012903, epoch loss=0.012903 Batch=119, step=18120, lr=0.124750, batch loss=0.019357, epoch loss=0.032260 Batch=179, step=18180, lr=0.124500, batch loss=0.032278, epoch loss=0.064538 Batch=239, step=18240, lr=0.124250, batch loss=0.037770, epoch loss=0.102308 Batch=299, step=18300, lr=0.124000, batch loss=0.021598, epoch loss=0.123906 Batch=359, step=18360, lr=0.123750, batch loss=0.023574, epoch loss=0.147480 Batch=419, step=18420, lr=0.123500, batch loss=0.032231, epoch loss=0.179711 Batch=479, step=18480, lr=0.123250, batch loss=0.024259, epoch loss=0.203970 Batch=539, step=18540, lr=0.123000, batch loss=0.056457, epoch loss=0.260427 Batch=599, step=18600, lr=0.122750, batch loss=0.029013, epoch loss=0.289440 Batch=659, step=18660, lr=0.122500, batch loss=0.034555, epoch loss=0.323996 Batch=719, step=18720, lr=0.122250, batch loss=0.035380, epoch loss=0.359375 Batch=779, step=18780, lr=0.122000, batch loss=0.102185, epoch loss=0.461560 Batch=839, step=18840, lr=0.121500, batch loss=0.064223, epoch loss=0.525783 Batch=899, step=18900, lr=0.121250, batch loss=0.093798, epoch loss=0.619581 Batch=959, step=18960, lr=0.121250, batch loss=0.018882, epoch loss=0.638464 Batch=1019, step=19020, lr=0.120750, batch loss=0.030633, epoch loss=0.669096 Batch=1079, step=19080, lr=0.120750, batch loss=0.003748, epoch loss=0.672844 Batch=1139, step=19140, lr=0.120500, batch loss=0.020480, epoch loss=0.693325 Batch=1199, step=19200, lr=0.120250, batch loss=0.011218, epoch loss=0.704543 Epoch=15, step=19200, lr=0.120250, epoch loss=0.704543 Batch=59, step=19260, lr=0.120000, batch loss=0.005521, epoch loss=0.005521 Batch=119, step=19320, lr=0.119750, batch loss=0.019388, epoch loss=0.024910 Batch=179, step=19380, lr=0.119500, batch loss=0.054577, epoch loss=0.079486 Batch=239, step=19440, lr=0.119250, batch loss=0.024072, epoch loss=0.103559 Batch=299, step=19500, lr=0.119000, batch loss=0.013248, epoch loss=0.116807 Batch=359, step=19560, lr=0.118500, batch loss=0.028177, epoch loss=0.144984 Batch=419, step=19620, lr=0.118500, batch loss=0.020542, epoch loss=0.165525 Batch=479, step=19680, lr=0.118250, batch loss=0.008286, epoch loss=0.173811 Batch=539, step=19740, lr=0.118000, batch loss=0.016850, epoch loss=0.190662 Batch=599, step=19800, lr=0.117750, batch loss=0.024136, epoch loss=0.214798 Batch=659, step=19860, lr=0.117500, batch loss=0.020888, epoch loss=0.235686 Batch=719, step=19920, lr=0.117250, batch loss=0.051606, epoch loss=0.287292 Batch=779, step=19980, lr=0.116750, batch loss=0.076792, epoch loss=0.364085 Batch=839, step=20040, lr=0.116750, batch loss=0.031474, epoch loss=0.395558 Batch=899, step=20100, lr=0.116500, batch loss=0.029959, epoch loss=0.425518 Batch=959, step=20160, lr=0.116250, batch loss=0.015745, epoch loss=0.441262 Batch=1019, step=20220, lr=0.116000, batch loss=0.019053, epoch loss=0.460315 Batch=1079, step=20280, lr=0.115750, batch loss=0.001229, epoch loss=0.461544 Batch=1139, step=20340, lr=0.115500, batch loss=0.015139, epoch loss=0.476683 Batch=1199, step=20400, lr=0.115250, batch loss=0.007886, epoch loss=0.484569 Epoch=16, step=20400, lr=0.115250, epoch loss=0.484569 Batch=59, step=20460, lr=0.115000, batch loss=0.004299, epoch loss=0.004299 Batch=119, step=20520, lr=0.114750, batch loss=0.012456, epoch loss=0.016755 Batch=179, step=20580, lr=0.114500, batch loss=0.023225, epoch loss=0.039980 Batch=239, step=20640, lr=0.114250, batch loss=0.017687, epoch loss=0.057667 Batch=299, step=20700, lr=0.114000, batch loss=0.006922, epoch loss=0.064589 Batch=359, step=20760, lr=0.113750, batch loss=0.013489, epoch loss=0.078078 Batch=419, step=20820, lr=0.113500, batch loss=0.015065, epoch loss=0.093144 Batch=479, step=20880, lr=0.113250, batch loss=0.004459, epoch loss=0.097602 Batch=539, step=20940, lr=0.113000, batch loss=0.015246, epoch loss=0.112848 Batch=599, step=21000, lr=0.112750, batch loss=0.018921, epoch loss=0.131769 Batch=659, step=21060, lr=0.112500, batch loss=0.014064, epoch loss=0.145833 Batch=719, step=21120, lr=0.112000, batch loss=0.043841, epoch loss=0.189675 Batch=779, step=21180, lr=0.112000, batch loss=0.069508, epoch loss=0.259183 Batch=839, step=21240, lr=0.111750, batch loss=0.025436, epoch loss=0.284618 Batch=899, step=21300, lr=0.111500, batch loss=0.027805, epoch loss=0.312424 Batch=959, step=21360, lr=0.111000, batch loss=0.009970, epoch loss=0.322394 Batch=1019, step=21420, lr=0.110750, batch loss=0.010347, epoch loss=0.332741 Batch=1079, step=21480, lr=0.110750, batch loss=0.002080, epoch loss=0.334820 Batch=1139, step=21540, lr=0.110500, batch loss=0.011946, epoch loss=0.346766 Batch=1199, step=21600, lr=0.110250, batch loss=0.004764, epoch loss=0.351530 Epoch=17, step=21600, lr=0.110250, epoch loss=0.351530 Batch=59, step=21660, lr=0.110000, batch loss=0.001839, epoch loss=0.001839 Batch=119, step=21720, lr=0.109750, batch loss=0.006892, epoch loss=0.008731 Batch=179, step=21780, lr=0.109500, batch loss=0.012092, epoch loss=0.020823 Batch=239, step=21840, lr=0.109000, batch loss=0.009808, epoch loss=0.030632 Batch=299, step=21900, lr=0.109000, batch loss=0.009534, epoch loss=0.040166 Batch=359, step=21960, lr=0.108750, batch loss=0.014064, epoch loss=0.054230 Batch=419, step=22020, lr=0.108500, batch loss=0.012730, epoch loss=0.066960 Batch=479, step=22080, lr=0.108250, batch loss=0.003190, epoch loss=0.070150 Batch=539, step=22140, lr=0.108000, batch loss=0.016630, epoch loss=0.086780 Batch=599, step=22200, lr=0.107750, batch loss=0.015287, epoch loss=0.102067 Batch=659, step=22260, lr=0.107250, batch loss=0.011075, epoch loss=0.113142 Batch=719, step=22320, lr=0.107250, batch loss=0.019543, epoch loss=0.132685 Batch=779, step=22380, lr=0.107000, batch loss=0.022991, epoch loss=0.155676 Batch=839, step=22440, lr=0.106750, batch loss=0.026237, epoch loss=0.181913 Batch=899, step=22500, lr=0.106500, batch loss=0.026014, epoch loss=0.207927 Batch=959, step=22560, lr=0.106250, batch loss=0.008823, epoch loss=0.216751 Batch=1019, step=22620, lr=0.106000, batch loss=0.008473, epoch loss=0.225224 Batch=1079, step=22680, lr=0.105750, batch loss=0.000988, epoch loss=0.226213 Batch=1139, step=22740, lr=0.105500, batch loss=0.010145, epoch loss=0.236358 Batch=1199, step=22800, lr=0.105250, batch loss=0.005046, epoch loss=0.241403 Epoch=18, step=22800, lr=0.105250, epoch loss=0.241403 Batch=59, step=22860, lr=0.105000, batch loss=0.001907, epoch loss=0.001907 Batch=119, step=22920, lr=0.104750, batch loss=0.005406, epoch loss=0.007313 Batch=179, step=22980, lr=0.104250, batch loss=0.010690, epoch loss=0.018003 Batch=239, step=23040, lr=0.104250, batch loss=0.008694, epoch loss=0.026697 Batch=299, step=23100, lr=0.104000, batch loss=0.008478, epoch loss=0.035176 Batch=359, step=23160, lr=0.103750, batch loss=0.012909, epoch loss=0.048084 Batch=419, step=23220, lr=0.103500, batch loss=0.011010, epoch loss=0.059094 Batch=479, step=23280, lr=0.103250, batch loss=0.004387, epoch loss=0.063481 Batch=539, step=23340, lr=0.103000, batch loss=0.014048, epoch loss=0.077529 Batch=599, step=23400, lr=0.102750, batch loss=0.014642, epoch loss=0.092172 Batch=659, step=23460, lr=0.102500, batch loss=0.013405, epoch loss=0.105577 Batch=719, step=23520, lr=0.102250, batch loss=0.014017, epoch loss=0.119594 Batch=779, step=23580, lr=0.101750, batch loss=0.022561, epoch loss=0.142156 Batch=839, step=23640, lr=0.101750, batch loss=0.025653, epoch loss=0.167809 Batch=899, step=23700, lr=0.101500, batch loss=0.023047, epoch loss=0.190856 Batch=959, step=23760, lr=0.101250, batch loss=0.008225, epoch loss=0.199081 Batch=1019, step=23820, lr=0.101000, batch loss=0.008221, epoch loss=0.207302 Batch=1079, step=23880, lr=0.100750, batch loss=0.000938, epoch loss=0.208240 Batch=1139, step=23940, lr=0.100500, batch loss=0.008517, epoch loss=0.216757 Batch=1199, step=24000, lr=0.100250, batch loss=0.004729, epoch loss=0.221486 Epoch=19, step=24000, lr=0.100250, epoch loss=0.221486 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 12:44.18 ---> saved as "530acac696f5fb2429a5442e5d97b7b4f9752ea41bdf64a8f6d3773e9d4e6fcb" Job succeeded 2025-03-21 12:44.19: Job succeeded