2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (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 f6ea3750 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 15:22.29: 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 15:22.29: 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 15:22.29: Waiting for resource in pool OCluster 2025-03-21 15:22.29: Waiting for worker… 2025-03-21 15:22.35: Got resource from pool OCluster Building on phoebe.caelum.ci.dev HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN) (from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) 2025-03-21 15:23.13 ---> saved as "4596744fc3a31520e92f77a93ddee1465e358aef6e37bdf13eead77f318ac19c" /: (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 15:23.14 ---> 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 15:25.12 ---> 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 15:25.13 ---> saved as "ad2ab2a4f4e9ea6d10f2f7d75a528b347a9df63d0147bccbe314000671024be6" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 15:25.13 ---> 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..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) 2025-03-21 15:27.00 ---> saved as "b874972d3e4076a232741d0cfa563d8019de8c9040d9b0425ca0556b4c7df6ae" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 15:27.00 ---> 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 15:27.10 ---> saved as "06b7a5177e39ab000f43512190bc7e636a849fd46b5d0eb5812a06a0fac2b139" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 15:27.11 ---> 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" - 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/universe amd64 Packages [191 kB] - Get:6 http://security.ubuntu.com/ubuntu oracular-security/main amd64 Packages [300 kB] - Get:7 http://archive.ubuntu.com/ubuntu oracular-updates/main amd64 Packages [421 kB] - Get:8 http://archive.ubuntu.com/ubuntu oracular-updates/universe amd64 Packages [259 kB] - Fetched 1549 kB in 1s (1152 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [neural_nets_lib.dev] synchronised (file:///src) [arrayjit.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 15:28.00 ---> 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 angstrom.0.16.1 (cached) -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (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 jane-street-headers.v0.17.0 (cached) -> retrieved integers.0.7.0 (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 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 ppxlib.0.35.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved topkg.1.0.8 (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 ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed stdlib-shims.0.3.0 -> 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 re.1.12.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed sexplib0.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.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_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> 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 15:32.57 ---> saved as "1e29b3f80230c2650edf6167986e21b36b2addd4e7b1e671f82c79f3cb59146c" /src: (copy (src .) (dst /src)) 2025-03-21 15:32.58 ---> saved as "5d102bbfc4c47c3807ecafff016f3608a4fbb340eda0b260479b561cc8a2e303" /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/8c9d20a8de8e1b49f2cfd9743859cef4/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/8c9d20a8de8e1b49f2cfd9743859cef4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8c9d20a8de8e1b49f2cfd9743859cef4/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/9dbc76453625abdf3edcb9e9b698aa14/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8c9d20a8de8e1b49f2cfd9743859cef4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8c9d20a8de8e1b49f2cfd9743859cef4/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/8c9d20a8de8e1b49f2cfd9743859cef4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8c9d20a8de8e1b49f2cfd9743859cef4/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/8c9d20a8de8e1b49f2cfd9743859cef4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8c9d20a8de8e1b49f2cfd9743859cef4/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/8c9d20a8de8e1b49f2cfd9743859cef4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8c9d20a8de8e1b49f2cfd9743859cef4/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/8c9d20a8de8e1b49f2cfd9743859cef4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8c9d20a8de8e1b49f2cfd9743859cef4/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/8c9d20a8de8e1b49f2cfd9743859cef4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8c9d20a8de8e1b49f2cfd9743859cef4/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/8c9d20a8de8e1b49f2cfd9743859cef4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8c9d20a8de8e1b49f2cfd9743859cef4/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/8c9d20a8de8e1b49f2cfd9743859cef4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8c9d20a8de8e1b49f2cfd9743859cef4/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/8c9d20a8de8e1b49f2cfd9743859cef4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199250, batch loss=0.852304, epoch loss=35.617934 Batch=299, step=300, lr=0.199000, batch loss=1.446477, epoch loss=37.064411 Batch=359, step=360, lr=0.198750, batch loss=1.337361, epoch loss=38.401771 Batch=419, step=420, lr=0.198250, batch loss=0.614370, epoch loss=39.016141 Batch=479, step=480, lr=0.198000, batch loss=0.793935, epoch loss=39.810076 Batch=539, step=540, lr=0.198000, batch loss=0.652363, epoch loss=40.462439 Batch=599, step=600, lr=0.197500, batch loss=1.084526, epoch loss=41.546965 Batch=659, step=660, lr=0.197250, batch loss=0.482361, epoch loss=42.029326 Batch=719, step=720, lr=0.197250, batch loss=0.412650, epoch loss=42.441976 Batch=779, step=780, lr=0.196750, batch loss=0.470712, epoch loss=42.912688 Batch=839, step=840, lr=0.196500, batch loss=0.445158, epoch loss=43.357846 Batch=899, step=900, lr=0.196250, batch loss=0.386209, epoch loss=43.744055 Batch=959, step=960, lr=0.196250, batch loss=0.251400, epoch loss=43.995455 Batch=1019, step=1020, lr=0.196000, batch loss=0.471231, epoch loss=44.466686 Batch=1079, step=1080, lr=0.195500, batch loss=0.247751, epoch loss=44.714437 Batch=1139, step=1140, lr=0.195250, batch loss=0.318647, epoch loss=45.033084 Batch=1199, step=1200, lr=0.195000, batch loss=0.265937, epoch loss=45.299022 Epoch=0, step=1200, lr=0.195000, epoch loss=45.299022 Batch=59, step=1260, lr=0.195000, batch loss=0.264402, epoch loss=0.264402 Batch=119, step=1320, lr=0.194500, batch loss=0.206036, epoch loss=0.470438 Batch=179, step=1380, lr=0.194500, batch loss=0.245593, epoch loss=0.716031 Batch=239, step=1440, lr=0.194250, batch loss=0.348730, epoch loss=1.064761 Batch=299, step=1500, lr=0.194000, batch loss=0.241014, epoch loss=1.305776 Batch=359, step=1560, lr=0.193750, batch loss=0.315393, epoch loss=1.621168 Batch=419, step=1620, lr=0.193500, batch loss=0.310139, epoch loss=1.931307 Batch=479, step=1680, lr=0.193250, batch loss=0.277685, epoch loss=2.208992 Batch=539, step=1740, lr=0.193000, batch loss=0.210440, epoch loss=2.419432 Batch=599, step=1800, lr=0.192750, batch loss=0.244060, epoch loss=2.663492 Batch=659, step=1860, lr=0.192500, batch loss=0.363830, epoch loss=3.027322 Batch=719, step=1920, lr=0.192250, batch loss=0.354955, epoch loss=3.382277 Batch=779, step=1980, lr=0.191750, batch loss=0.378534, epoch loss=3.760811 Batch=839, step=2040, lr=0.191500, batch loss=0.341012, epoch loss=4.101823 Batch=899, step=2100, lr=0.191250, batch loss=0.298465, epoch loss=4.400288 Batch=959, step=2160, lr=0.191000, batch loss=0.207614, epoch loss=4.607902 Batch=1019, step=2220, lr=0.190750, batch loss=0.334532, epoch loss=4.942433 Batch=1079, step=2280, lr=0.190500, batch loss=0.191769, epoch loss=5.134202 Batch=1139, step=2340, lr=0.190250, batch loss=0.257879, epoch loss=5.392082 Batch=1199, step=2400, lr=0.190000, batch loss=0.211140, epoch loss=5.603222 Epoch=1, step=2400, lr=0.190000, epoch loss=5.603222 Batch=59, step=2460, lr=0.189750, batch loss=0.228862, epoch loss=0.228862 Batch=119, step=2520, lr=0.189750, batch loss=0.200975, epoch loss=0.429837 Batch=179, step=2580, lr=0.189500, batch loss=0.222442, epoch loss=0.652279 Batch=239, step=2640, lr=0.189000, batch loss=0.328686, epoch loss=0.980965 Batch=299, step=2700, lr=0.189000, batch loss=0.209005, epoch loss=1.189970 Batch=359, step=2760, lr=0.188500, batch loss=0.293953, epoch loss=1.483924 Batch=419, step=2820, lr=0.188250, batch loss=0.281753, epoch loss=1.765677 Batch=479, step=2880, lr=0.188000, batch loss=0.256275, epoch loss=2.021952 Batch=539, step=2940, lr=0.188000, batch loss=0.196903, epoch loss=2.218855 Batch=599, step=3000, lr=0.187750, batch loss=0.242367, epoch loss=2.461222 Batch=659, step=3060, lr=0.187500, batch loss=0.349440, epoch loss=2.810662 Batch=719, step=3120, lr=0.187000, batch loss=0.346463, epoch loss=3.157125 Batch=779, step=3180, lr=0.187000, batch loss=0.367346, epoch loss=3.524471 Batch=839, step=3240, lr=0.186750, batch loss=0.323070, epoch loss=3.847541 Batch=899, step=3300, lr=0.186500, batch loss=0.290368, epoch loss=4.137909 Batch=959, step=3360, lr=0.186250, batch loss=0.235935, epoch loss=4.373844 Batch=1019, step=3420, lr=0.185750, batch loss=0.365644, epoch loss=4.739488 Batch=1079, step=3480, lr=0.185750, batch loss=0.233584, epoch loss=4.973072 Batch=1139, step=3540, lr=0.185500, batch loss=0.263230, epoch loss=5.236302 Batch=1199, step=3600, lr=0.185250, batch loss=0.202018, epoch loss=5.438320 Epoch=2, step=3600, lr=0.185250, epoch loss=5.438320 Batch=59, step=3660, lr=0.184750, batch loss=0.222746, epoch loss=0.222746 Batch=119, step=3720, lr=0.184750, batch loss=0.185197, epoch loss=0.407943 Batch=179, step=3780, lr=0.184250, batch loss=0.212401, epoch loss=0.620344 Batch=239, step=3840, lr=0.184000, batch loss=0.316468, epoch loss=0.936811 Batch=299, step=3900, lr=0.184000, batch loss=0.208671, epoch loss=1.145482 Batch=359, step=3960, lr=0.183750, batch loss=0.288766, epoch loss=1.434249 Batch=419, step=4020, lr=0.183500, batch loss=0.279498, epoch loss=1.713746 Batch=479, step=4080, lr=0.183250, batch loss=0.255794, epoch loss=1.969540 Batch=539, step=4140, lr=0.182750, batch loss=0.201487, epoch loss=2.171027 Batch=599, step=4200, lr=0.182750, batch loss=0.246394, epoch loss=2.417422 Batch=659, step=4260, lr=0.182250, batch loss=0.328803, epoch loss=2.746225 Batch=719, step=4320, lr=0.182250, batch loss=0.326825, epoch loss=3.073050 Batch=779, step=4380, lr=0.182000, batch loss=0.354333, epoch loss=3.427383 Batch=839, step=4440, lr=0.181750, batch loss=0.316852, epoch loss=3.744235 Batch=899, step=4500, lr=0.181500, batch loss=0.288470, epoch loss=4.032705 Batch=959, step=4560, lr=0.181250, batch loss=0.237088, epoch loss=4.269793 Batch=1019, step=4620, lr=0.181000, batch loss=0.335018, epoch loss=4.604811 Batch=1079, step=4680, lr=0.180750, batch loss=0.194703, epoch loss=4.799514 Batch=1139, step=4740, lr=0.180500, batch loss=0.236267, epoch loss=5.035781 Batch=1199, step=4800, lr=0.180250, batch loss=0.191308, epoch loss=5.227089 Epoch=3, step=4800, lr=0.180250, epoch loss=5.227089 Batch=59, step=4860, lr=0.180000, batch loss=0.226700, epoch loss=0.226700 Batch=119, step=4920, lr=0.179750, batch loss=0.192167, epoch loss=0.418867 Batch=179, step=4980, lr=0.179500, batch loss=0.206798, epoch loss=0.625665 Batch=239, step=5040, lr=0.179250, batch loss=0.307395, epoch loss=0.933061 Batch=299, step=5100, lr=0.179000, batch loss=0.200718, epoch loss=1.133779 Batch=359, step=5160, lr=0.178750, batch loss=0.275568, epoch loss=1.409347 Batch=419, step=5220, lr=0.178500, batch loss=0.264980, epoch loss=1.674327 Batch=479, step=5280, lr=0.178250, batch loss=0.240637, epoch loss=1.914964 Batch=539, step=5340, lr=0.178000, batch loss=0.191994, epoch loss=2.106958 Batch=599, step=5400, lr=0.177500, batch loss=0.229217, epoch loss=2.336175 Batch=659, step=5460, lr=0.177500, batch loss=0.328169, epoch loss=2.664344 Batch=719, step=5520, lr=0.177250, batch loss=0.332985, epoch loss=2.997329 Batch=779, step=5580, lr=0.177000, batch loss=0.345284, epoch loss=3.342612 Batch=839, step=5640, lr=0.176750, batch loss=0.308930, epoch loss=3.651542 Batch=899, step=5700, lr=0.176500, batch loss=0.272708, epoch loss=3.924250 Batch=959, step=5760, lr=0.176250, batch loss=0.215352, epoch loss=4.139603 Batch=1019, step=5820, lr=0.176000, batch loss=0.343347, epoch loss=4.482950 Batch=1079, step=5880, lr=0.175750, batch loss=0.204308, epoch loss=4.687258 Batch=1139, step=5940, lr=0.175500, batch loss=0.241745, epoch loss=4.929003 Batch=1199, step=6000, lr=0.175250, batch loss=0.187590, epoch loss=5.116593 Epoch=4, step=6000, lr=0.175250, epoch loss=5.116593 Batch=59, step=6060, lr=0.175000, batch loss=0.231845, epoch loss=0.231845 Batch=119, step=6120, lr=0.174750, batch loss=0.193394, epoch loss=0.425239 Batch=179, step=6180, lr=0.174500, batch loss=0.202124, epoch loss=0.627363 Batch=239, step=6240, lr=0.174250, batch loss=0.301930, epoch loss=0.929294 Batch=299, step=6300, lr=0.174000, batch loss=0.206681, epoch loss=1.135975 Batch=359, step=6360, lr=0.173500, batch loss=0.267259, epoch loss=1.403233 Batch=419, step=6420, lr=0.173500, batch loss=0.260815, epoch loss=1.664048 Batch=479, step=6480, lr=0.173000, batch loss=0.237152, epoch loss=1.901200 Batch=539, step=6540, lr=0.172750, batch loss=0.188363, epoch loss=2.089563 Batch=599, step=6600, lr=0.172750, batch loss=0.225553, epoch loss=2.315116 Batch=659, step=6660, lr=0.172500, batch loss=0.317359, epoch loss=2.632474 Batch=719, step=6720, lr=0.172250, batch loss=0.315680, epoch loss=2.948154 Batch=779, step=6780, lr=0.172000, batch loss=0.333539, epoch loss=3.281693 Batch=839, step=6840, lr=0.171750, batch loss=0.304322, epoch loss=3.586015 Batch=899, step=6900, lr=0.171500, batch loss=0.267405, epoch loss=3.853420 Batch=959, step=6960, lr=0.171250, batch loss=0.211975, epoch loss=4.065395 Batch=1019, step=7020, lr=0.171000, batch loss=0.329761, epoch loss=4.395155 Batch=1079, step=7080, lr=0.170750, batch loss=0.173712, epoch loss=4.568867 Batch=1139, step=7140, lr=0.170500, batch loss=0.213507, epoch loss=4.782374 Batch=1199, step=7200, lr=0.170250, batch loss=0.182674, epoch loss=4.965048 Epoch=5, step=7200, lr=0.170250, epoch loss=4.965048 Batch=59, step=7260, lr=0.170000, batch loss=0.238812, epoch loss=0.238812 Batch=119, step=7320, lr=0.169750, batch loss=0.181488, epoch loss=0.420300 Batch=179, step=7380, lr=0.169500, batch loss=0.194886, epoch loss=0.615185 Batch=239, step=7440, lr=0.169250, batch loss=0.290974, epoch loss=0.906159 Batch=299, step=7500, lr=0.169000, batch loss=0.209223, epoch loss=1.115383 Batch=359, step=7560, lr=0.168750, batch loss=0.263227, epoch loss=1.378610 Batch=419, step=7620, lr=0.168500, batch loss=0.255410, epoch loss=1.634019 Batch=479, step=7680, lr=0.168250, batch loss=0.238927, epoch loss=1.872946 Batch=539, step=7740, lr=0.168000, batch loss=0.186423, epoch loss=2.059370 Batch=599, step=7800, lr=0.167750, batch loss=0.225500, epoch loss=2.284870 Batch=659, step=7860, lr=0.167500, batch loss=0.306877, epoch loss=2.591747 Batch=719, step=7920, lr=0.167250, batch loss=0.306758, epoch loss=2.898505 Batch=779, step=7980, lr=0.167000, batch loss=0.322850, epoch loss=3.221355 Batch=839, step=8040, lr=0.166750, batch loss=0.295775, epoch loss=3.517130 Batch=899, step=8100, lr=0.166500, batch loss=0.260941, epoch loss=3.778071 Batch=959, step=8160, lr=0.166250, batch loss=0.205931, epoch loss=3.984002 Batch=1019, step=8220, lr=0.166000, batch loss=0.320603, epoch loss=4.304605 Batch=1079, step=8280, lr=0.165750, batch loss=0.171677, epoch loss=4.476282 Batch=1139, step=8340, lr=0.165500, batch loss=0.206902, epoch loss=4.683184 Batch=1199, step=8400, lr=0.165250, batch loss=0.178517, epoch loss=4.861701 Epoch=6, step=8400, lr=0.165250, epoch loss=4.861701 Batch=59, step=8460, lr=0.165000, batch loss=0.229026, epoch loss=0.229026 Batch=119, step=8520, lr=0.164500, batch loss=0.175817, epoch loss=0.404843 Batch=179, step=8580, lr=0.164500, batch loss=0.187662, epoch loss=0.592505 Batch=239, step=8640, lr=0.164000, batch loss=0.276854, epoch loss=0.869360 Batch=299, step=8700, lr=0.164000, batch loss=0.191631, epoch loss=1.060990 Batch=359, step=8760, lr=0.163750, batch loss=0.249022, epoch loss=1.310012 Batch=419, step=8820, lr=0.163500, batch loss=0.245509, epoch loss=1.555522 Batch=479, step=8880, lr=0.163250, batch loss=0.228267, epoch loss=1.783788 Batch=539, step=8940, lr=0.163000, batch loss=0.178440, epoch loss=1.962228 Batch=599, step=9000, lr=0.162750, batch loss=0.218112, epoch loss=2.180340 Batch=659, step=9060, lr=0.162500, batch loss=0.295213, epoch loss=2.475553 Batch=719, step=9120, lr=0.162250, batch loss=0.295620, epoch loss=2.771173 Batch=779, step=9180, lr=0.162000, batch loss=0.316598, epoch loss=3.087772 Batch=839, step=9240, lr=0.161750, batch loss=0.287340, epoch loss=3.375111 Batch=899, step=9300, lr=0.161500, batch loss=0.251387, epoch loss=3.626498 Batch=959, step=9360, lr=0.161250, batch loss=0.191019, epoch loss=3.817518 Batch=1019, step=9420, lr=0.161000, batch loss=0.319216, epoch loss=4.136733 Batch=1079, step=9480, lr=0.160750, batch loss=0.188936, epoch loss=4.325669 Batch=1139, step=9540, lr=0.160500, batch loss=0.212841, epoch loss=4.538510 Batch=1199, step=9600, lr=0.160250, batch loss=0.166657, epoch loss=4.705168 Epoch=7, step=9600, lr=0.160250, epoch loss=4.705168 Batch=59, step=9660, lr=0.160000, batch loss=0.201865, epoch loss=0.201865 Batch=119, step=9720, lr=0.159750, batch loss=0.170605, epoch loss=0.372469 Batch=179, step=9780, lr=0.159500, batch loss=0.179973, epoch loss=0.552443 Batch=239, step=9840, lr=0.159250, batch loss=0.262032, epoch loss=0.814474 Batch=299, step=9900, lr=0.159000, batch loss=0.184372, epoch loss=0.998846 Batch=359, step=9960, lr=0.158750, batch loss=0.239319, epoch loss=1.238165 Batch=419, step=10020, lr=0.158250, batch loss=0.233255, epoch loss=1.471420 Batch=479, step=10080, lr=0.158250, batch loss=0.220475, epoch loss=1.691895 Batch=539, step=10140, lr=0.158000, batch loss=0.169772, epoch loss=1.861667 Batch=599, step=10200, lr=0.157750, batch loss=0.204038, epoch loss=2.065704 Batch=659, step=10260, lr=0.157500, batch loss=0.280580, epoch loss=2.346284 Batch=719, step=10320, lr=0.157250, batch loss=0.278833, epoch loss=2.625117 Batch=779, step=10380, lr=0.157000, batch loss=0.297705, epoch loss=2.922822 Batch=839, step=10440, lr=0.156750, batch loss=0.271871, epoch loss=3.194693 Batch=899, step=10500, lr=0.156500, batch loss=0.237752, epoch loss=3.432445 Batch=959, step=10560, lr=0.156250, batch loss=0.201562, epoch loss=3.634008 Batch=1019, step=10620, lr=0.156000, batch loss=0.279517, epoch loss=3.913525 Batch=1079, step=10680, lr=0.155750, batch loss=0.170732, epoch loss=4.084256 Batch=1139, step=10740, lr=0.155500, batch loss=0.200355, epoch loss=4.284611 Batch=1199, step=10800, lr=0.155250, batch loss=0.154212, epoch loss=4.438823 Epoch=8, step=10800, lr=0.155250, epoch loss=4.438823 Batch=59, step=10860, lr=0.155000, batch loss=0.178485, epoch loss=0.178485 Batch=119, step=10920, lr=0.154750, batch loss=0.149683, epoch loss=0.328168 Batch=179, step=10980, lr=0.154250, batch loss=0.165327, epoch loss=0.493495 Batch=239, step=11040, lr=0.154250, batch loss=0.240852, epoch loss=0.734347 Batch=299, step=11100, lr=0.153750, batch loss=0.172740, epoch loss=0.907087 Batch=359, step=11160, lr=0.153500, batch loss=0.220396, epoch loss=1.127483 Batch=419, step=11220, lr=0.153500, batch loss=0.215912, epoch loss=1.343395 Batch=479, step=11280, lr=0.153250, batch loss=0.214144, epoch loss=1.557540 Batch=539, step=11340, lr=0.152750, batch loss=0.170848, epoch loss=1.728387 Batch=599, step=11400, lr=0.152750, batch loss=0.175872, epoch loss=1.904260 Batch=659, step=11460, lr=0.152250, batch loss=0.261881, epoch loss=2.166141 Batch=719, step=11520, lr=0.152250, batch loss=0.260177, epoch loss=2.426318 Batch=779, step=11580, lr=0.152000, batch loss=0.271244, epoch loss=2.697562 Batch=839, step=11640, lr=0.151750, batch loss=0.257363, epoch loss=2.954925 Batch=899, step=11700, lr=0.151500, batch loss=0.217570, epoch loss=3.172495 Batch=959, step=11760, lr=0.151250, batch loss=0.186159, epoch loss=3.358654 Batch=1019, step=11820, lr=0.151000, batch loss=0.277559, epoch loss=3.636213 Batch=1079, step=11880, lr=0.150500, batch loss=0.149973, epoch loss=3.786186 Batch=1139, step=11940, lr=0.150500, batch loss=0.180892, epoch loss=3.967078 Batch=1199, step=12000, lr=0.150000, batch loss=0.139982, epoch loss=4.107060 Epoch=9, step=12000, lr=0.150000, epoch loss=4.107060 Batch=59, step=12060, lr=0.149750, batch loss=0.161533, epoch loss=0.161533 Batch=119, step=12120, lr=0.149750, batch loss=0.137086, epoch loss=0.298619 Batch=179, step=12180, lr=0.149250, batch loss=0.150820, epoch loss=0.449438 Batch=239, step=12240, lr=0.149000, batch loss=0.219089, epoch loss=0.668527 Batch=299, step=12300, lr=0.148750, batch loss=0.142012, epoch loss=0.810539 Batch=359, step=12360, lr=0.148500, batch loss=0.198720, epoch loss=1.009259 Batch=419, step=12420, lr=0.148250, batch loss=0.206092, epoch loss=1.215352 Batch=479, step=12480, lr=0.148000, batch loss=0.179408, epoch loss=1.394759 Batch=539, step=12540, lr=0.147750, batch loss=0.142129, epoch loss=1.536888 Batch=599, step=12600, lr=0.147500, batch loss=0.149616, epoch loss=1.686505 Batch=659, step=12660, lr=0.147250, batch loss=0.226818, epoch loss=1.913323 Batch=719, step=12720, lr=0.147000, batch loss=0.235547, epoch loss=2.148870 Batch=779, step=12780, lr=0.146750, batch loss=0.264163, epoch loss=2.413032 Batch=839, step=12840, lr=0.146750, batch loss=0.235662, epoch loss=2.648694 Batch=899, step=12900, lr=0.146250, batch loss=0.221709, epoch loss=2.870403 Batch=959, step=12960, lr=0.146000, batch loss=0.144595, epoch loss=3.014998 Batch=1019, step=13020, lr=0.145750, batch loss=0.232195, epoch loss=3.247192 Batch=1079, step=13080, lr=0.145500, batch loss=0.106723, epoch loss=3.353915 Batch=1139, step=13140, lr=0.145250, batch loss=0.141845, epoch loss=3.495761 Batch=1199, step=13200, lr=0.145000, batch loss=0.119569, epoch loss=3.615329 Epoch=10, step=13200, lr=0.145000, epoch loss=3.615329 Batch=59, step=13260, lr=0.144750, batch loss=0.138567, epoch loss=0.138567 Batch=119, step=13320, lr=0.144500, batch loss=0.125076, epoch loss=0.263644 Batch=179, step=13380, lr=0.144250, batch loss=0.126734, epoch loss=0.390378 Batch=239, step=13440, lr=0.144000, batch loss=0.185655, epoch loss=0.576032 Batch=299, step=13500, lr=0.143750, batch loss=0.116469, epoch loss=0.692501 Batch=359, step=13560, lr=0.143500, batch loss=0.165279, epoch loss=0.857780 Batch=419, step=13620, lr=0.143250, batch loss=0.189469, epoch loss=1.047250 Batch=479, step=13680, lr=0.143000, batch loss=0.137852, epoch loss=1.185102 Batch=539, step=13740, lr=0.143000, batch loss=0.117310, epoch loss=1.302412 Batch=599, step=13800, lr=0.142750, batch loss=0.119454, epoch loss=1.421866 Batch=659, step=13860, lr=0.142250, batch loss=0.176777, epoch loss=1.598643 Batch=719, step=13920, lr=0.142000, batch loss=0.171252, epoch loss=1.769895 Batch=779, step=13980, lr=0.141750, batch loss=0.181185, epoch loss=1.951079 Batch=839, step=14040, lr=0.141500, batch loss=0.196321, epoch loss=2.147400 Batch=899, step=14100, lr=0.141500, batch loss=0.208424, epoch loss=2.355824 Batch=959, step=14160, lr=0.141250, batch loss=0.112280, epoch loss=2.468103 Batch=1019, step=14220, lr=0.141000, batch loss=0.197527, epoch loss=2.665630 Batch=1079, step=14280, lr=0.140500, batch loss=0.081386, epoch loss=2.747016 Batch=1139, step=14340, lr=0.140500, batch loss=0.131830, epoch loss=2.878846 Batch=1199, step=14400, lr=0.140000, batch loss=0.086252, epoch loss=2.965098 Epoch=11, step=14400, lr=0.140000, epoch loss=2.965098 Batch=59, step=14460, lr=0.139750, batch loss=0.107686, epoch loss=0.107686 Batch=119, step=14520, lr=0.139500, batch loss=0.103735, epoch loss=0.211421 Batch=179, step=14580, lr=0.139250, batch loss=0.100231, epoch loss=0.311652 Batch=239, step=14640, lr=0.139250, batch loss=0.141902, epoch loss=0.453554 Batch=299, step=14700, lr=0.138750, batch loss=0.074175, epoch loss=0.527729 Batch=359, step=14760, lr=0.138500, batch loss=0.122764, epoch loss=0.650493 Batch=419, step=14820, lr=0.138250, batch loss=0.129434, epoch loss=0.779926 Batch=479, step=14880, lr=0.138250, batch loss=0.099893, epoch loss=0.879819 Batch=539, step=14940, lr=0.138000, batch loss=0.110936, epoch loss=0.990756 Batch=599, step=15000, lr=0.137500, batch loss=0.084985, epoch loss=1.075740 Batch=659, step=15060, lr=0.137500, batch loss=0.134195, epoch loss=1.209935 Batch=719, step=15120, lr=0.137000, batch loss=0.162297, epoch loss=1.372232 Batch=779, step=15180, lr=0.136750, batch loss=0.274738, epoch loss=1.646970 Batch=839, step=15240, lr=0.136750, batch loss=0.138444, epoch loss=1.785414 Batch=899, step=15300, lr=0.136250, batch loss=0.151035, epoch loss=1.936449 Batch=959, step=15360, lr=0.136250, batch loss=0.073232, epoch loss=2.009681 Batch=1019, step=15420, lr=0.136000, batch loss=0.169541, epoch loss=2.179222 Batch=1079, step=15480, lr=0.135750, batch loss=0.037577, epoch loss=2.216799 Batch=1139, step=15540, lr=0.135500, batch loss=0.087146, epoch loss=2.303945 Batch=1199, step=15600, lr=0.135250, batch loss=0.054463, epoch loss=2.358409 Epoch=12, step=15600, lr=0.135250, epoch loss=2.358409 Batch=59, step=15660, lr=0.134750, batch loss=0.087253, epoch loss=0.087253 Batch=119, step=15720, lr=0.134500, batch loss=0.146500, epoch loss=0.233753 Batch=179, step=15780, lr=0.134250, batch loss=0.102698, epoch loss=0.336451 Batch=239, step=15840, lr=0.134000, batch loss=0.100468, epoch loss=0.436919 Batch=299, step=15900, lr=0.133750, batch loss=0.042451, epoch loss=0.479370 Batch=359, step=15960, lr=0.133500, batch loss=0.082500, epoch loss=0.561870 Batch=419, step=16020, lr=0.133500, batch loss=0.080863, epoch loss=0.642734 Batch=479, step=16080, lr=0.133250, batch loss=0.068400, epoch loss=0.711134 Batch=539, step=16140, lr=0.133000, batch loss=0.054182, epoch loss=0.765316 Batch=599, step=16200, lr=0.132750, batch loss=0.105328, epoch loss=0.870644 Batch=659, step=16260, lr=0.132250, batch loss=0.078468, epoch loss=0.949111 Batch=719, step=16320, lr=0.132000, batch loss=0.085051, epoch loss=1.034162 Batch=779, step=16380, lr=0.131750, batch loss=0.100992, epoch loss=1.135154 Batch=839, step=16440, lr=0.131500, batch loss=0.129260, epoch loss=1.264414 Batch=899, step=16500, lr=0.131250, batch loss=0.158607, epoch loss=1.423020 Batch=959, step=16560, lr=0.131000, batch loss=0.047554, epoch loss=1.470575 Batch=1019, step=16620, lr=0.131000, batch loss=0.114987, epoch loss=1.585561 Batch=1079, step=16680, lr=0.130750, batch loss=0.019881, epoch loss=1.605442 Batch=1139, step=16740, lr=0.130250, batch loss=0.046700, epoch loss=1.652142 Batch=1199, step=16800, lr=0.130250, batch loss=0.025950, epoch loss=1.678092 Epoch=13, step=16800, lr=0.130250, epoch loss=1.678092 Batch=59, step=16860, lr=0.129750, batch loss=0.036547, epoch loss=0.036547 Batch=119, step=16920, lr=0.129500, batch loss=0.053798, epoch loss=0.090345 Batch=179, step=16980, lr=0.129250, batch loss=0.048649, epoch loss=0.138994 Batch=239, step=17040, lr=0.129000, batch loss=0.074165, epoch loss=0.213159 Batch=299, step=17100, lr=0.128750, batch loss=0.087780, epoch loss=0.300940 Batch=359, step=17160, lr=0.128750, batch loss=0.051107, epoch loss=0.352046 Batch=419, step=17220, lr=0.128250, batch loss=0.051189, epoch loss=0.403235 Batch=479, step=17280, lr=0.128000, batch loss=0.031486, epoch loss=0.434721 Batch=539, step=17340, lr=0.127750, batch loss=0.055956, epoch loss=0.490677 Batch=599, step=17400, lr=0.127500, batch loss=0.034682, epoch loss=0.525359 Batch=659, step=17460, lr=0.127250, batch loss=0.047796, epoch loss=0.573155 Batch=719, step=17520, lr=0.127250, batch loss=0.058647, epoch loss=0.631802 Batch=779, step=17580, lr=0.126750, batch loss=0.125202, epoch loss=0.757004 Batch=839, step=17640, lr=0.126500, batch loss=0.095193, epoch loss=0.852197 Batch=899, step=17700, lr=0.126250, batch loss=0.124911, epoch loss=0.977108 Batch=959, step=17760, lr=0.126000, batch loss=0.020992, epoch loss=0.998100 Batch=1019, step=17820, lr=0.125750, batch loss=0.036091, epoch loss=1.034191 Batch=1079, step=17880, lr=0.125500, batch loss=0.009973, epoch loss=1.044164 Batch=1139, step=17940, lr=0.125250, batch loss=0.029275, epoch loss=1.073440 Batch=1199, step=18000, lr=0.125000, batch loss=0.013965, epoch loss=1.087405 Epoch=14, step=18000, lr=0.125000, epoch loss=1.087405 Batch=59, step=18060, lr=0.124750, batch loss=0.011107, epoch loss=0.011107 Batch=119, step=18120, lr=0.124500, batch loss=0.018853, epoch loss=0.029960 Batch=179, step=18180, lr=0.124250, batch loss=0.034836, epoch loss=0.064796 Batch=239, step=18240, lr=0.124000, batch loss=0.035434, epoch loss=0.100230 Batch=299, step=18300, lr=0.123750, batch loss=0.012916, epoch loss=0.113145 Batch=359, step=18360, lr=0.123500, batch loss=0.022446, epoch loss=0.135592 Batch=419, step=18420, lr=0.123500, batch loss=0.025934, epoch loss=0.161526 Batch=479, step=18480, lr=0.123000, batch loss=0.018866, epoch loss=0.180392 Batch=539, step=18540, lr=0.122750, batch loss=0.042230, epoch loss=0.222623 Batch=599, step=18600, lr=0.122500, batch loss=0.025429, epoch loss=0.248051 Batch=659, step=18660, lr=0.122250, batch loss=0.030902, epoch loss=0.278954 Batch=719, step=18720, lr=0.122000, batch loss=0.048600, epoch loss=0.327554 Batch=779, step=18780, lr=0.121750, batch loss=0.118794, epoch loss=0.446348 Batch=839, step=18840, lr=0.121500, batch loss=0.057034, epoch loss=0.503381 Batch=899, step=18900, lr=0.121250, batch loss=0.057876, epoch loss=0.561258 Batch=959, step=18960, lr=0.121000, batch loss=0.013802, epoch loss=0.575059 Batch=1019, step=19020, lr=0.120750, batch loss=0.021816, epoch loss=0.596875 Batch=1079, step=19080, lr=0.120500, batch loss=0.009776, epoch loss=0.606651 Batch=1139, step=19140, lr=0.120250, batch loss=0.022722, epoch loss=0.629373 Batch=1199, step=19200, lr=0.120000, batch loss=0.008843, epoch loss=0.638216 Epoch=15, step=19200, lr=0.120000, epoch loss=0.638216 Batch=59, step=19260, lr=0.119750, batch loss=0.004148, epoch loss=0.004148 Batch=119, step=19320, lr=0.119500, batch loss=0.011507, epoch loss=0.015655 Batch=179, step=19380, lr=0.119250, batch loss=0.020165, epoch loss=0.035820 Batch=239, step=19440, lr=0.119000, batch loss=0.023394, epoch loss=0.059214 Batch=299, step=19500, lr=0.119000, batch loss=0.015505, epoch loss=0.074719 Batch=359, step=19560, lr=0.118500, batch loss=0.033188, epoch loss=0.107907 Batch=419, step=19620, lr=0.118250, batch loss=0.020493, epoch loss=0.128400 Batch=479, step=19680, lr=0.118000, batch loss=0.007076, epoch loss=0.135476 Batch=539, step=19740, lr=0.117750, batch loss=0.018784, epoch loss=0.154261 Batch=599, step=19800, lr=0.117500, batch loss=0.020991, epoch loss=0.175251 Batch=659, step=19860, lr=0.117250, batch loss=0.018403, epoch loss=0.193654 Batch=719, step=19920, lr=0.117000, batch loss=0.035503, epoch loss=0.229158 Batch=779, step=19980, lr=0.116750, batch loss=0.083914, epoch loss=0.313072 Batch=839, step=20040, lr=0.116750, batch loss=0.030707, epoch loss=0.343780 Batch=899, step=20100, lr=0.116250, batch loss=0.033327, epoch loss=0.377106 Batch=959, step=20160, lr=0.116000, batch loss=0.011588, epoch loss=0.388695 Batch=1019, step=20220, lr=0.115750, batch loss=0.015554, epoch loss=0.404249 Batch=1079, step=20280, lr=0.115500, batch loss=0.001929, epoch loss=0.406178 Batch=1139, step=20340, lr=0.115250, batch loss=0.015161, epoch loss=0.421340 Batch=1199, step=20400, lr=0.115250, batch loss=0.005793, epoch loss=0.427132 Epoch=16, step=20400, lr=0.115250, epoch loss=0.427132 Batch=59, step=20460, lr=0.114750, batch loss=0.003198, epoch loss=0.003198 Batch=119, step=20520, lr=0.114500, batch loss=0.009038, epoch loss=0.012236 Batch=179, step=20580, lr=0.114500, batch loss=0.020461, epoch loss=0.032698 Batch=239, step=20640, lr=0.114000, batch loss=0.019618, epoch loss=0.052315 Batch=299, step=20700, lr=0.113750, batch loss=0.010512, epoch loss=0.062828 Batch=359, step=20760, lr=0.113500, batch loss=0.014399, epoch loss=0.077227 Batch=419, step=20820, lr=0.113250, batch loss=0.014586, epoch loss=0.091813 Batch=479, step=20880, lr=0.113000, batch loss=0.003879, epoch loss=0.095692 Batch=539, step=20940, lr=0.113000, batch loss=0.016008, epoch loss=0.111700 Batch=599, step=21000, lr=0.112500, batch loss=0.017253, epoch loss=0.128953 Batch=659, step=21060, lr=0.112250, batch loss=0.013116, epoch loss=0.142070 Batch=719, step=21120, lr=0.112250, batch loss=0.033133, epoch loss=0.175203 Batch=779, step=21180, lr=0.111750, batch loss=0.057727, epoch loss=0.232930 Batch=839, step=21240, lr=0.111500, batch loss=0.025337, epoch loss=0.258268 Batch=899, step=21300, lr=0.111500, batch loss=0.023131, epoch loss=0.281399 Batch=959, step=21360, lr=0.111000, batch loss=0.014284, epoch loss=0.295682 Batch=1019, step=21420, lr=0.110750, batch loss=0.015187, epoch loss=0.310869 Batch=1079, step=21480, lr=0.110750, batch loss=0.000538, epoch loss=0.311408 Batch=1139, step=21540, lr=0.110250, batch loss=0.012587, epoch loss=0.323995 Batch=1199, step=21600, lr=0.110000, batch loss=0.005075, epoch loss=0.329070 Epoch=17, step=21600, lr=0.110000, epoch loss=0.329070 Batch=59, step=21660, lr=0.110000, batch loss=0.002714, epoch loss=0.002714 Batch=119, step=21720, lr=0.109750, batch loss=0.006543, epoch loss=0.009257 Batch=179, step=21780, lr=0.109500, batch loss=0.012301, epoch loss=0.021558 Batch=239, step=21840, lr=0.109000, batch loss=0.009397, epoch loss=0.030955 Batch=299, step=21900, lr=0.108750, batch loss=0.001921, epoch loss=0.032876 Batch=359, step=21960, lr=0.108500, batch loss=0.013037, epoch loss=0.045914 Batch=419, step=22020, lr=0.108250, batch loss=0.011915, epoch loss=0.057829 Batch=479, step=22080, lr=0.108250, batch loss=0.003023, epoch loss=0.060852 Batch=539, step=22140, lr=0.108000, batch loss=0.016740, epoch loss=0.077593 Batch=599, step=22200, lr=0.107750, batch loss=0.015447, epoch loss=0.093039 Batch=659, step=22260, lr=0.107500, batch loss=0.011554, epoch loss=0.104593 Batch=719, step=22320, lr=0.107250, batch loss=0.018887, epoch loss=0.123480 Batch=779, step=22380, lr=0.106750, batch loss=0.024446, epoch loss=0.147927 Batch=839, step=22440, lr=0.106500, batch loss=0.026748, epoch loss=0.174675 Batch=899, step=22500, lr=0.106250, batch loss=0.026366, epoch loss=0.201041 Batch=959, step=22560, lr=0.106000, batch loss=0.009020, epoch loss=0.210061 Batch=1019, step=22620, lr=0.105750, batch loss=0.009330, epoch loss=0.219391 Batch=1079, step=22680, lr=0.105750, batch loss=0.001915, epoch loss=0.221305 Batch=1139, step=22740, lr=0.105250, batch loss=0.010559, epoch loss=0.231864 Batch=1199, step=22800, lr=0.105250, batch loss=0.005117, epoch loss=0.236981 Epoch=18, step=22800, lr=0.105250, epoch loss=0.236981 Batch=59, step=22860, lr=0.104750, batch loss=0.002077, epoch loss=0.002077 Batch=119, step=22920, lr=0.104500, batch loss=0.005439, epoch loss=0.007515 Batch=179, step=22980, lr=0.104250, batch loss=0.011096, epoch loss=0.018611 Batch=239, step=23040, lr=0.104000, batch loss=0.008828, epoch loss=0.027439 Batch=299, step=23100, lr=0.103750, batch loss=0.007672, epoch loss=0.035111 Batch=359, step=23160, lr=0.103500, batch loss=0.011765, epoch loss=0.046875 Batch=419, step=23220, lr=0.103500, batch loss=0.010599, epoch loss=0.057474 Batch=479, step=23280, lr=0.103250, batch loss=0.002379, epoch loss=0.059853 Batch=539, step=23340, lr=0.102750, batch loss=0.017344, epoch loss=0.077197 Batch=599, step=23400, lr=0.102750, batch loss=0.013577, epoch loss=0.090773 Batch=659, step=23460, lr=0.102500, batch loss=0.009951, epoch loss=0.100724 Batch=719, step=23520, lr=0.102250, batch loss=0.017862, epoch loss=0.118586 Batch=779, step=23580, lr=0.102000, batch loss=0.021333, epoch loss=0.139919 Batch=839, step=23640, lr=0.101750, batch loss=0.026893, epoch loss=0.166812 Batch=899, step=23700, lr=0.101250, batch loss=0.022177, epoch loss=0.188989 Batch=959, step=23760, lr=0.101000, batch loss=0.008200, epoch loss=0.197189 Batch=1019, step=23820, lr=0.100750, batch loss=0.006542, epoch loss=0.203731 Batch=1079, step=23880, lr=0.100500, batch loss=0.001978, epoch loss=0.205710 Batch=1139, step=23940, lr=0.100500, batch loss=0.008797, epoch loss=0.214506 Batch=1199, step=24000, lr=0.100000, batch loss=0.004423, epoch loss=0.218929 Epoch=19, step=24000, lr=0.100000, epoch loss=0.218929 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########**************************........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######***********.........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*******************........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###*************.............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###*******...............%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................********.................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 15:34.27 ---> saved as "1d74c1a2605591a5aaac974008236c25c6ce555c4f693b39337e30da31ad2c96" Job succeeded 2025-03-21 15:34.28: Job succeeded