2025-03-20 21:04.47: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0) (linux-x86_64:ubuntu-24.10-5.3_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 ccaf459c 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 2025-03-20 21:04.47: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100-ubuntu-24.10-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-20 21:04.47: 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")) ) 2025-03-20 21:04.47: Waiting for resource in pool OCluster 2025-03-20 21:04.47: Waiting for worker… 2025-03-20 21:16.19: Got resource from pool OCluster Building on phoebe.caelum.ci.dev HEAD is now at 367be265 Load log_level earlier to consistently log all settings HEAD is now at ccaf459c Missing from previous commit: test update (from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) 2025-03-20 21:17.03 ---> 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")) 2025-03-20 21:17.03 ---> 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 [NOTE] The 'jobs' option was reset, its value was 31 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=31 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 21:18.22 ---> 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 2025-03-20 21:18.23 ---> saved as "ad2ab2a4f4e9ea6d10f2f7d75a528b347a9df63d0147bccbe314000671024be6" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 21:18.23 ---> 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) 2025-03-20 21:19.32 ---> saved as "b874972d3e4076a232741d0cfa563d8019de8c9040d9b0425ca0556b4c7df6ae" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 21:19.33 ---> saved as "d4b1a119b543873fb23a47b88ebf62c03a2f7026db8f7e7fce2cc9d26d2bed25" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 21:19.38 ---> saved as "c060fa887757589fca6d50d58cf631964198f1f88b3fdb338ebaeed5047b1184" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 21:19.38 ---> saved as "18078c602edcc5788c8461624b565cfa74482a1d3e75db2bbce8a7eb9ee7a139" /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] - Get:2 http://security.ubuntu.com/ubuntu oracular-security/universe amd64 Packages [191 kB] - Hit:3 http://archive.ubuntu.com/ubuntu oracular InRelease - Get:4 http://security.ubuntu.com/ubuntu oracular-security/main amd64 Packages [300 kB] - Get:5 http://archive.ubuntu.com/ubuntu oracular-updates InRelease [126 kB] - Get:6 http://archive.ubuntu.com/ubuntu oracular-backports InRelease [126 kB] - Get:7 http://archive.ubuntu.com/ubuntu oracular-updates/universe amd64 Packages [258 kB] - Get:8 http://archive.ubuntu.com/ubuntu oracular-updates/main amd64 Packages [421 kB] - Fetched 1549 kB in 1s (1779 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) ... 2025-03-20 21:20.08 ---> saved as "5448ea584b520bb61c4987745362a9e469e1b2087be0e9f523e9d15d0a63a053" /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 ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed 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 printbox.0.12 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_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) 2025-03-20 21:22.10 ---> saved as "cba6c019bedd9a4b8fb72b2e06f10c829df6e3a45923bf267e061e329f248966" /src: (copy (src .) (dst /src)) 2025-03-20 21:22.10 ---> saved as "af05a5312ded56b9836342075f2f41300af6ca66c396f6dd94fe31e1db170196" /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/f39cccf75d79f769ebeccd29ab11a35b/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/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/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/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/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/8de0b60ff90374a4100d9f8e1fd9606b/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/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/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/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/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/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/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/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/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/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/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/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/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/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/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199250, batch loss=2.621123, epoch loss=34.770210 Batch=239, step=240, lr=0.199000, batch loss=0.846671, epoch loss=35.616880 Batch=299, step=300, lr=0.198750, batch loss=1.454974, epoch loss=37.071854 Batch=359, step=360, lr=0.198500, batch loss=1.326898, epoch loss=38.398752 Batch=419, step=420, lr=0.198250, batch loss=0.621517, epoch loss=39.020269 Batch=479, step=480, lr=0.198000, batch loss=0.818033, epoch loss=39.838301 Batch=539, step=540, lr=0.197750, batch loss=0.697637, epoch loss=40.535939 Batch=599, step=600, lr=0.197500, batch loss=1.059089, epoch loss=41.595027 Batch=659, step=660, lr=0.197250, batch loss=0.484853, epoch loss=42.079880 Batch=719, step=720, lr=0.197000, batch loss=0.412385, epoch loss=42.492265 Batch=779, step=780, lr=0.196750, batch loss=0.472229, epoch loss=42.964494 Batch=839, step=840, lr=0.196750, batch loss=0.448919, epoch loss=43.413413 Batch=899, step=900, lr=0.196500, batch loss=0.387634, epoch loss=43.801047 Batch=959, step=960, lr=0.196250, batch loss=0.252950, epoch loss=44.053997 Batch=1019, step=1020, lr=0.195750, batch loss=0.478626, epoch loss=44.532623 Batch=1079, step=1080, lr=0.195500, batch loss=0.261542, epoch loss=44.794165 Batch=1139, step=1140, lr=0.195500, batch loss=0.341860, epoch loss=45.136025 Batch=1199, step=1200, lr=0.195000, batch loss=0.265933, epoch loss=45.401958 Epoch=0, step=1200, lr=0.195000, epoch loss=45.401958 Batch=59, step=1260, lr=0.194750, batch loss=0.265267, epoch loss=0.265267 Batch=119, step=1320, lr=0.194500, batch loss=0.203806, epoch loss=0.469073 Batch=179, step=1380, lr=0.194250, batch loss=0.246738, epoch loss=0.715811 Batch=239, step=1440, lr=0.194000, batch loss=0.348750, epoch loss=1.064561 Batch=299, step=1500, lr=0.193750, batch loss=0.241838, epoch loss=1.306399 Batch=359, step=1560, lr=0.193750, batch loss=0.314962, epoch loss=1.621361 Batch=419, step=1620, lr=0.193250, batch loss=0.311063, epoch loss=1.932424 Batch=479, step=1680, lr=0.193000, batch loss=0.275961, epoch loss=2.208385 Batch=539, step=1740, lr=0.193000, batch loss=0.211710, epoch loss=2.420095 Batch=599, step=1800, lr=0.192500, batch loss=0.260372, epoch loss=2.680467 Batch=659, step=1860, lr=0.192250, batch loss=0.377451, epoch loss=3.057918 Batch=719, step=1920, lr=0.192000, batch loss=0.359965, epoch loss=3.417883 Batch=779, step=1980, lr=0.191750, batch loss=0.387035, epoch loss=3.804918 Batch=839, step=2040, lr=0.191750, batch loss=0.349139, epoch loss=4.154057 Batch=899, step=2100, lr=0.191250, batch loss=0.325674, epoch loss=4.479732 Batch=959, step=2160, lr=0.191000, batch loss=0.252550, epoch loss=4.732282 Batch=1019, step=2220, lr=0.190750, batch loss=0.387318, epoch loss=5.119600 Batch=1079, step=2280, lr=0.190750, batch loss=0.207299, epoch loss=5.326898 Batch=1139, step=2340, lr=0.190250, batch loss=0.258972, epoch loss=5.585870 Batch=1199, step=2400, lr=0.190000, batch loss=0.212353, epoch loss=5.798224 Epoch=1, step=2400, lr=0.190000, epoch loss=5.798224 Batch=59, step=2460, lr=0.189750, batch loss=0.235331, epoch loss=0.235331 Batch=119, step=2520, lr=0.189500, batch loss=0.196178, epoch loss=0.431509 Batch=179, step=2580, lr=0.189250, batch loss=0.221909, epoch loss=0.653418 Batch=239, step=2640, lr=0.189000, batch loss=0.329554, epoch loss=0.982972 Batch=299, step=2700, lr=0.189000, batch loss=0.206177, epoch loss=1.189149 Batch=359, step=2760, lr=0.188500, batch loss=0.291738, epoch loss=1.480887 Batch=419, step=2820, lr=0.188250, batch loss=0.283201, epoch loss=1.764088 Batch=479, step=2880, lr=0.188250, batch loss=0.262868, epoch loss=2.026956 Batch=539, step=2940, lr=0.187750, batch loss=0.200450, epoch loss=2.227406 Batch=599, step=3000, lr=0.187750, batch loss=0.244872, epoch loss=2.472278 Batch=659, step=3060, lr=0.187500, batch loss=0.345465, epoch loss=2.817743 Batch=719, step=3120, lr=0.187250, batch loss=0.344642, epoch loss=3.162385 Batch=779, step=3180, lr=0.186750, batch loss=0.365915, epoch loss=3.528300 Batch=839, step=3240, lr=0.186750, batch loss=0.324559, epoch loss=3.852859 Batch=899, step=3300, lr=0.186250, batch loss=0.286590, epoch loss=4.139449 Batch=959, step=3360, lr=0.186250, batch loss=0.213942, epoch loss=4.353391 Batch=1019, step=3420, lr=0.186000, batch loss=0.305260, epoch loss=4.658651 Batch=1079, step=3480, lr=0.185750, batch loss=0.171104, epoch loss=4.829754 Batch=1139, step=3540, lr=0.185250, batch loss=0.229695, epoch loss=5.059449 Batch=1199, step=3600, lr=0.185250, batch loss=0.201282, epoch loss=5.260731 Epoch=2, step=3600, lr=0.185250, epoch loss=5.260731 Batch=59, step=3660, lr=0.185000, batch loss=0.239459, epoch loss=0.239459 Batch=119, step=3720, lr=0.184750, batch loss=0.202552, epoch loss=0.442011 Batch=179, step=3780, lr=0.184500, batch loss=0.210953, epoch loss=0.652964 Batch=239, step=3840, lr=0.184250, batch loss=0.316189, epoch loss=0.969154 Batch=299, step=3900, lr=0.184000, batch loss=0.204983, epoch loss=1.174137 Batch=359, step=3960, lr=0.183750, batch loss=0.282291, epoch loss=1.456427 Batch=419, step=4020, lr=0.183500, batch loss=0.272120, epoch loss=1.728547 Batch=479, step=4080, lr=0.183250, batch loss=0.248629, epoch loss=1.977176 Batch=539, step=4140, lr=0.183000, batch loss=0.195589, epoch loss=2.172765 Batch=599, step=4200, lr=0.182750, batch loss=0.235128, epoch loss=2.407893 Batch=659, step=4260, lr=0.182500, batch loss=0.333382, epoch loss=2.741275 Batch=719, step=4320, lr=0.182250, batch loss=0.339626, epoch loss=3.080901 Batch=779, step=4380, lr=0.182000, batch loss=0.352016, epoch loss=3.432917 Batch=839, step=4440, lr=0.181750, batch loss=0.316986, epoch loss=3.749903 Batch=899, step=4500, lr=0.181500, batch loss=0.284880, epoch loss=4.034783 Batch=959, step=4560, lr=0.181250, batch loss=0.239083, epoch loss=4.273866 Batch=1019, step=4620, lr=0.180750, batch loss=0.338192, epoch loss=4.612058 Batch=1079, step=4680, lr=0.180750, batch loss=0.205022, epoch loss=4.817080 Batch=1139, step=4740, lr=0.180500, batch loss=0.254484, epoch loss=5.071565 Batch=1199, step=4800, lr=0.180250, batch loss=0.192380, epoch loss=5.263945 Epoch=3, step=4800, lr=0.180250, epoch loss=5.263945 Batch=59, step=4860, lr=0.180000, batch loss=0.219863, epoch loss=0.219863 Batch=119, step=4920, lr=0.179750, batch loss=0.184878, epoch loss=0.404741 Batch=179, step=4980, lr=0.179500, batch loss=0.205470, epoch loss=0.610210 Batch=239, step=5040, lr=0.179250, batch loss=0.307165, epoch loss=0.917375 Batch=299, step=5100, lr=0.179000, batch loss=0.209229, epoch loss=1.126604 Batch=359, step=5160, lr=0.178750, batch loss=0.273699, epoch loss=1.400303 Batch=419, step=5220, lr=0.178500, batch loss=0.265617, epoch loss=1.665920 Batch=479, step=5280, lr=0.178250, batch loss=0.240480, epoch loss=1.906400 Batch=539, step=5340, lr=0.178000, batch loss=0.187756, epoch loss=2.094155 Batch=599, step=5400, lr=0.177750, batch loss=0.233555, epoch loss=2.327711 Batch=659, step=5460, lr=0.177500, batch loss=0.321765, epoch loss=2.649476 Batch=719, step=5520, lr=0.177250, batch loss=0.327024, epoch loss=2.976499 Batch=779, step=5580, lr=0.177000, batch loss=0.347042, epoch loss=3.323541 Batch=839, step=5640, lr=0.176750, batch loss=0.305959, epoch loss=3.629500 Batch=899, step=5700, lr=0.176250, batch loss=0.269957, epoch loss=3.899457 Batch=959, step=5760, lr=0.176250, batch loss=0.219124, epoch loss=4.118581 Batch=1019, step=5820, lr=0.176000, batch loss=0.335352, epoch loss=4.453933 Batch=1079, step=5880, lr=0.175750, batch loss=0.191829, epoch loss=4.645762 Batch=1139, step=5940, lr=0.175500, batch loss=0.224532, epoch loss=4.870295 Batch=1199, step=6000, lr=0.175250, batch loss=0.188850, epoch loss=5.059145 Epoch=4, step=6000, lr=0.175250, epoch loss=5.059145 Batch=59, step=6060, lr=0.175000, batch loss=0.233821, epoch loss=0.233821 Batch=119, step=6120, lr=0.174750, batch loss=0.192089, epoch loss=0.425909 Batch=179, step=6180, lr=0.174500, batch loss=0.200949, epoch loss=0.626858 Batch=239, step=6240, lr=0.174250, batch loss=0.298845, epoch loss=0.925703 Batch=299, step=6300, lr=0.174000, batch loss=0.198587, epoch loss=1.124290 Batch=359, step=6360, lr=0.173750, batch loss=0.264368, epoch loss=1.388658 Batch=419, step=6420, lr=0.173500, batch loss=0.257596, epoch loss=1.646254 Batch=479, step=6480, lr=0.173250, batch loss=0.231464, epoch loss=1.877718 Batch=539, step=6540, lr=0.173000, batch loss=0.190754, epoch loss=2.068472 Batch=599, step=6600, lr=0.172750, batch loss=0.232386, epoch loss=2.300858 Batch=659, step=6660, lr=0.172500, batch loss=0.312683, epoch loss=2.613541 Batch=719, step=6720, lr=0.172250, batch loss=0.315251, epoch loss=2.928792 Batch=779, step=6780, lr=0.172000, batch loss=0.330713, epoch loss=3.259505 Batch=839, step=6840, lr=0.171750, batch loss=0.305222, epoch loss=3.564726 Batch=899, step=6900, lr=0.171500, batch loss=0.262943, epoch loss=3.827670 Batch=959, step=6960, lr=0.171250, batch loss=0.215973, epoch loss=4.043643 Batch=1019, step=7020, lr=0.171000, batch loss=0.322795, epoch loss=4.366438 Batch=1079, step=7080, lr=0.170750, batch loss=0.179824, epoch loss=4.546262 Batch=1139, step=7140, lr=0.170500, batch loss=0.217796, epoch loss=4.764057 Batch=1199, step=7200, lr=0.170250, batch loss=0.182575, epoch loss=4.946632 Epoch=5, step=7200, lr=0.170250, epoch loss=4.946632 Batch=59, step=7260, lr=0.170000, batch loss=0.237088, epoch loss=0.237088 Batch=119, step=7320, lr=0.169750, batch loss=0.181351, epoch loss=0.418439 Batch=179, step=7380, lr=0.169500, batch loss=0.194535, epoch loss=0.612974 Batch=239, step=7440, lr=0.169250, batch loss=0.293938, epoch loss=0.906912 Batch=299, step=7500, lr=0.169000, batch loss=0.201794, epoch loss=1.108706 Batch=359, step=7560, lr=0.168750, batch loss=0.258085, epoch loss=1.366791 Batch=419, step=7620, lr=0.168500, batch loss=0.256960, epoch loss=1.623751 Batch=479, step=7680, lr=0.168250, batch loss=0.235125, epoch loss=1.858875 Batch=539, step=7740, lr=0.168000, batch loss=0.189372, epoch loss=2.048247 Batch=599, step=7800, lr=0.167750, batch loss=0.229634, epoch loss=2.277882 Batch=659, step=7860, lr=0.167500, batch loss=0.303072, epoch loss=2.580953 Batch=719, step=7920, lr=0.167250, batch loss=0.310245, epoch loss=2.891198 Batch=779, step=7980, lr=0.167000, batch loss=0.329141, epoch loss=3.220339 Batch=839, step=8040, lr=0.166750, batch loss=0.291045, epoch loss=3.511384 Batch=899, step=8100, lr=0.166500, batch loss=0.262691, epoch loss=3.774075 Batch=959, step=8160, lr=0.166250, batch loss=0.221348, epoch loss=3.995423 Batch=1019, step=8220, lr=0.166000, batch loss=0.311428, epoch loss=4.306851 Batch=1079, step=8280, lr=0.165750, batch loss=0.178190, epoch loss=4.485041 Batch=1139, step=8340, lr=0.165500, batch loss=0.211832, epoch loss=4.696872 Batch=1199, step=8400, lr=0.165250, batch loss=0.171506, epoch loss=4.868379 Epoch=6, step=8400, lr=0.165250, epoch loss=4.868379 Batch=59, step=8460, lr=0.165000, batch loss=0.198979, epoch loss=0.198979 Batch=119, step=8520, lr=0.164750, batch loss=0.172014, epoch loss=0.370993 Batch=179, step=8580, lr=0.164500, batch loss=0.186398, epoch loss=0.557391 Batch=239, step=8640, lr=0.164000, batch loss=0.274478, epoch loss=0.831868 Batch=299, step=8700, lr=0.164000, batch loss=0.184137, epoch loss=1.016005 Batch=359, step=8760, lr=0.163750, batch loss=0.244225, epoch loss=1.260230 Batch=419, step=8820, lr=0.163500, batch loss=0.239886, epoch loss=1.500116 Batch=479, step=8880, lr=0.163250, batch loss=0.222056, epoch loss=1.722171 Batch=539, step=8940, lr=0.163000, batch loss=0.181330, epoch loss=1.903502 Batch=599, step=9000, lr=0.162750, batch loss=0.212217, epoch loss=2.115718 Batch=659, step=9060, lr=0.162500, batch loss=0.294682, epoch loss=2.410401 Batch=719, step=9120, lr=0.162250, batch loss=0.292723, epoch loss=2.703124 Batch=779, step=9180, lr=0.162000, batch loss=0.316687, epoch loss=3.019811 Batch=839, step=9240, lr=0.161500, batch loss=0.284365, epoch loss=3.304176 Batch=899, step=9300, lr=0.161500, batch loss=0.251538, epoch loss=3.555714 Batch=959, step=9360, lr=0.161250, batch loss=0.210159, epoch loss=3.765873 Batch=1019, step=9420, lr=0.161000, batch loss=0.297690, epoch loss=4.063563 Batch=1079, step=9480, lr=0.160750, batch loss=0.189410, epoch loss=4.252974 Batch=1139, step=9540, lr=0.160500, batch loss=0.206540, epoch loss=4.459514 Batch=1199, step=9600, lr=0.160250, batch loss=0.164830, epoch loss=4.624343 Epoch=7, step=9600, lr=0.160250, epoch loss=4.624343 Batch=59, step=9660, lr=0.160000, batch loss=0.195605, epoch loss=0.195605 Batch=119, step=9720, lr=0.159750, batch loss=0.164969, epoch loss=0.360574 Batch=179, step=9780, lr=0.159500, batch loss=0.177290, epoch loss=0.537865 Batch=239, step=9840, lr=0.159250, batch loss=0.260143, epoch loss=0.798007 Batch=299, step=9900, lr=0.159000, batch loss=0.181085, epoch loss=0.979092 Batch=359, step=9960, lr=0.158750, batch loss=0.239558, epoch loss=1.218650 Batch=419, step=10020, lr=0.158500, batch loss=0.235971, epoch loss=1.454621 Batch=479, step=10080, lr=0.158250, batch loss=0.226183, epoch loss=1.680804 Batch=539, step=10140, lr=0.158000, batch loss=0.183912, epoch loss=1.864717 Batch=599, step=10200, lr=0.157750, batch loss=0.202059, epoch loss=2.066776 Batch=659, step=10260, lr=0.157500, batch loss=0.279169, epoch loss=2.345945 Batch=719, step=10320, lr=0.157250, batch loss=0.277481, epoch loss=2.623426 Batch=779, step=10380, lr=0.157000, batch loss=0.298091, epoch loss=2.921518 Batch=839, step=10440, lr=0.156750, batch loss=0.267838, epoch loss=3.189356 Batch=899, step=10500, lr=0.156500, batch loss=0.238869, epoch loss=3.428225 Batch=959, step=10560, lr=0.156250, batch loss=0.193882, epoch loss=3.622107 Batch=1019, step=10620, lr=0.156000, batch loss=0.281994, epoch loss=3.904101 Batch=1079, step=10680, lr=0.155750, batch loss=0.170096, epoch loss=4.074197 Batch=1139, step=10740, lr=0.155250, batch loss=0.197252, epoch loss=4.271449 Batch=1199, step=10800, lr=0.155250, batch loss=0.153353, epoch loss=4.424802 Epoch=8, step=10800, lr=0.155250, epoch loss=4.424802 Batch=59, step=10860, lr=0.155000, batch loss=0.176683, epoch loss=0.176683 Batch=119, step=10920, lr=0.154750, batch loss=0.150497, epoch loss=0.327180 Batch=179, step=10980, lr=0.154500, batch loss=0.164808, epoch loss=0.491988 Batch=239, step=11040, lr=0.154250, batch loss=0.241424, epoch loss=0.733413 Batch=299, step=11100, lr=0.154000, batch loss=0.163416, epoch loss=0.896829 Batch=359, step=11160, lr=0.153750, batch loss=0.221659, epoch loss=1.118489 Batch=419, step=11220, lr=0.153500, batch loss=0.222270, epoch loss=1.340759 Batch=479, step=11280, lr=0.153250, batch loss=0.204749, epoch loss=1.545507 Batch=539, step=11340, lr=0.153000, batch loss=0.161154, epoch loss=1.706662 Batch=599, step=11400, lr=0.152750, batch loss=0.178461, epoch loss=1.885122 Batch=659, step=11460, lr=0.152500, batch loss=0.261967, epoch loss=2.147089 Batch=719, step=11520, lr=0.152250, batch loss=0.249934, epoch loss=2.397023 Batch=779, step=11580, lr=0.152000, batch loss=0.267299, epoch loss=2.664322 Batch=839, step=11640, lr=0.151750, batch loss=0.253327, epoch loss=2.917649 Batch=899, step=11700, lr=0.151500, batch loss=0.208605, epoch loss=3.126254 Batch=959, step=11760, lr=0.151250, batch loss=0.169330, epoch loss=3.295584 Batch=1019, step=11820, lr=0.151000, batch loss=0.259111, epoch loss=3.554695 Batch=1079, step=11880, lr=0.150750, batch loss=0.138413, epoch loss=3.693108 Batch=1139, step=11940, lr=0.150500, batch loss=0.183112, epoch loss=3.876220 Batch=1199, step=12000, lr=0.150250, batch loss=0.135919, epoch loss=4.012140 Epoch=9, step=12000, lr=0.150250, epoch loss=4.012140 Batch=59, step=12060, lr=0.149750, batch loss=0.155082, epoch loss=0.155082 Batch=119, step=12120, lr=0.149750, batch loss=0.125587, epoch loss=0.280669 Batch=179, step=12180, lr=0.149500, batch loss=0.150403, epoch loss=0.431073 Batch=239, step=12240, lr=0.149250, batch loss=0.216220, epoch loss=0.647292 Batch=299, step=12300, lr=0.149000, batch loss=0.135021, epoch loss=0.782313 Batch=359, step=12360, lr=0.148750, batch loss=0.195683, epoch loss=0.977997 Batch=419, step=12420, lr=0.148500, batch loss=0.210478, epoch loss=1.188475 Batch=479, step=12480, lr=0.148250, batch loss=0.170940, epoch loss=1.359414 Batch=539, step=12540, lr=0.148000, batch loss=0.142537, epoch loss=1.501952 Batch=599, step=12600, lr=0.147750, batch loss=0.145233, epoch loss=1.647185 Batch=659, step=12660, lr=0.147500, batch loss=0.210530, epoch loss=1.857715 Batch=719, step=12720, lr=0.147250, batch loss=0.210382, epoch loss=2.068097 Batch=779, step=12780, lr=0.147000, batch loss=0.235907, epoch loss=2.304004 Batch=839, step=12840, lr=0.146750, batch loss=0.220924, epoch loss=2.524928 Batch=899, step=12900, lr=0.146500, batch loss=0.192144, epoch loss=2.717071 Batch=959, step=12960, lr=0.146250, batch loss=0.156241, epoch loss=2.873312 Batch=1019, step=13020, lr=0.146000, batch loss=0.254058, epoch loss=3.127371 Batch=1079, step=13080, lr=0.145750, batch loss=0.124446, epoch loss=3.251816 Batch=1139, step=13140, lr=0.145500, batch loss=0.172331, epoch loss=3.424147 Batch=1199, step=13200, lr=0.145000, batch loss=0.114988, epoch loss=3.539135 Epoch=10, step=13200, lr=0.145000, epoch loss=3.539135 Batch=59, step=13260, lr=0.145000, batch loss=0.133366, epoch loss=0.133366 Batch=119, step=13320, lr=0.144750, batch loss=0.114409, epoch loss=0.247775 Batch=179, step=13380, lr=0.144500, batch loss=0.123927, epoch loss=0.371702 Batch=239, step=13440, lr=0.144250, batch loss=0.186552, epoch loss=0.558254 Batch=299, step=13500, lr=0.144000, batch loss=0.111654, epoch loss=0.669909 Batch=359, step=13560, lr=0.143750, batch loss=0.153780, epoch loss=0.823689 Batch=419, step=13620, lr=0.143500, batch loss=0.150571, epoch loss=0.974259 Batch=479, step=13680, lr=0.143250, batch loss=0.137242, epoch loss=1.111501 Batch=539, step=13740, lr=0.143000, batch loss=0.115598, epoch loss=1.227100 Batch=599, step=13800, lr=0.142750, batch loss=0.114606, epoch loss=1.341705 Batch=659, step=13860, lr=0.142500, batch loss=0.168687, epoch loss=1.510392 Batch=719, step=13920, lr=0.142250, batch loss=0.165006, epoch loss=1.675398 Batch=779, step=13980, lr=0.142000, batch loss=0.171530, epoch loss=1.846927 Batch=839, step=14040, lr=0.141750, batch loss=0.185658, epoch loss=2.032586 Batch=899, step=14100, lr=0.141500, batch loss=0.207820, epoch loss=2.240406 Batch=959, step=14160, lr=0.141250, batch loss=0.111641, epoch loss=2.352047 Batch=1019, step=14220, lr=0.141000, batch loss=0.204820, epoch loss=2.556867 Batch=1079, step=14280, lr=0.140750, batch loss=0.069840, epoch loss=2.626707 Batch=1139, step=14340, lr=0.140500, batch loss=0.113262, epoch loss=2.739969 Batch=1199, step=14400, lr=0.140250, batch loss=0.079224, epoch loss=2.819194 Epoch=11, step=14400, lr=0.140250, epoch loss=2.819194 Batch=59, step=14460, lr=0.140000, batch loss=0.100931, epoch loss=0.100931 Batch=119, step=14520, lr=0.139750, batch loss=0.101427, epoch loss=0.202358 Batch=179, step=14580, lr=0.139500, batch loss=0.094944, epoch loss=0.297301 Batch=239, step=14640, lr=0.139250, batch loss=0.134426, epoch loss=0.431728 Batch=299, step=14700, lr=0.139000, batch loss=0.071060, epoch loss=0.502788 Batch=359, step=14760, lr=0.138750, batch loss=0.113602, epoch loss=0.616390 Batch=419, step=14820, lr=0.138500, batch loss=0.129150, epoch loss=0.745539 Batch=479, step=14880, lr=0.138250, batch loss=0.089184, epoch loss=0.834723 Batch=539, step=14940, lr=0.138000, batch loss=0.101024, epoch loss=0.935748 Batch=599, step=15000, lr=0.137750, batch loss=0.078768, epoch loss=1.014516 Batch=659, step=15060, lr=0.137500, batch loss=0.121179, epoch loss=1.135695 Batch=719, step=15120, lr=0.137250, batch loss=0.140402, epoch loss=1.276096 Batch=779, step=15180, lr=0.137000, batch loss=0.234108, epoch loss=1.510205 Batch=839, step=15240, lr=0.136750, batch loss=0.142055, epoch loss=1.652260 Batch=899, step=15300, lr=0.136500, batch loss=0.154238, epoch loss=1.806499 Batch=959, step=15360, lr=0.136250, batch loss=0.072745, epoch loss=1.879243 Batch=1019, step=15420, lr=0.136000, batch loss=0.158102, epoch loss=2.037345 Batch=1079, step=15480, lr=0.135750, batch loss=0.036269, epoch loss=2.073614 Batch=1139, step=15540, lr=0.135500, batch loss=0.091571, epoch loss=2.165185 Batch=1199, step=15600, lr=0.135250, batch loss=0.054414, epoch loss=2.219598 Epoch=12, step=15600, lr=0.135250, epoch loss=2.219598 Batch=59, step=15660, lr=0.135000, batch loss=0.064912, epoch loss=0.064912 Batch=119, step=15720, lr=0.134750, batch loss=0.094709, epoch loss=0.159621 Batch=179, step=15780, lr=0.134500, batch loss=0.076289, epoch loss=0.235910 Batch=239, step=15840, lr=0.134250, batch loss=0.086439, epoch loss=0.322349 Batch=299, step=15900, lr=0.134000, batch loss=0.059030, epoch loss=0.381379 Batch=359, step=15960, lr=0.133750, batch loss=0.090847, epoch loss=0.472226 Batch=419, step=16020, lr=0.133250, batch loss=0.145501, epoch loss=0.617728 Batch=479, step=16080, lr=0.133250, batch loss=0.044072, epoch loss=0.661800 Batch=539, step=16140, lr=0.133000, batch loss=0.045502, epoch loss=0.707302 Batch=599, step=16200, lr=0.132750, batch loss=0.093029, epoch loss=0.800330 Batch=659, step=16260, lr=0.132500, batch loss=0.072141, epoch loss=0.872471 Batch=719, step=16320, lr=0.132250, batch loss=0.074455, epoch loss=0.946926 Batch=779, step=16380, lr=0.132000, batch loss=0.086821, epoch loss=1.033746 Batch=839, step=16440, lr=0.131750, batch loss=0.100967, epoch loss=1.134714 Batch=899, step=16500, lr=0.131500, batch loss=0.143891, epoch loss=1.278605 Batch=959, step=16560, lr=0.131250, batch loss=0.051213, epoch loss=1.329818 Batch=1019, step=16620, lr=0.131000, batch loss=0.126075, epoch loss=1.455893 Batch=1079, step=16680, lr=0.130750, batch loss=0.017602, epoch loss=1.473495 Batch=1139, step=16740, lr=0.130500, batch loss=0.042352, epoch loss=1.515846 Batch=1199, step=16800, lr=0.130250, batch loss=0.024741, epoch loss=1.540587 Epoch=13, step=16800, lr=0.130250, epoch loss=1.540587 Batch=59, step=16860, lr=0.130000, batch loss=0.028809, epoch loss=0.028809 Batch=119, step=16920, lr=0.129750, batch loss=0.036309, epoch loss=0.065119 Batch=179, step=16980, lr=0.129500, batch loss=0.039078, epoch loss=0.104197 Batch=239, step=17040, lr=0.129250, batch loss=0.052042, epoch loss=0.156239 Batch=299, step=17100, lr=0.129000, batch loss=0.019365, epoch loss=0.175604 Batch=359, step=17160, lr=0.128750, batch loss=0.043224, epoch loss=0.218828 Batch=419, step=17220, lr=0.128500, batch loss=0.076243, epoch loss=0.295071 Batch=479, step=17280, lr=0.128250, batch loss=0.024852, epoch loss=0.319923 Batch=539, step=17340, lr=0.128000, batch loss=0.029013, epoch loss=0.348936 Batch=599, step=17400, lr=0.127750, batch loss=0.032155, epoch loss=0.381091 Batch=659, step=17460, lr=0.127500, batch loss=0.041309, epoch loss=0.422401 Batch=719, step=17520, lr=0.127250, batch loss=0.053634, epoch loss=0.476035 Batch=779, step=17580, lr=0.127000, batch loss=0.127307, epoch loss=0.603341 Batch=839, step=17640, lr=0.126750, batch loss=0.109209, epoch loss=0.712550 Batch=899, step=17700, lr=0.126500, batch loss=0.147397, epoch loss=0.859947 Batch=959, step=17760, lr=0.126250, batch loss=0.018681, epoch loss=0.878628 Batch=1019, step=17820, lr=0.126000, batch loss=0.032364, epoch loss=0.910992 Batch=1079, step=17880, lr=0.125750, batch loss=0.012051, epoch loss=0.923042 Batch=1139, step=17940, lr=0.125500, batch loss=0.038316, epoch loss=0.961358 Batch=1199, step=18000, lr=0.125000, batch loss=0.015260, epoch loss=0.976618 Epoch=14, step=18000, lr=0.125000, epoch loss=0.976618 Batch=59, step=18060, lr=0.124750, batch loss=0.012136, epoch loss=0.012136 Batch=119, step=18120, lr=0.124750, batch loss=0.029130, epoch loss=0.041266 Batch=179, step=18180, lr=0.124500, batch loss=0.084874, epoch loss=0.126140 Batch=239, step=18240, lr=0.124250, batch loss=0.041349, epoch loss=0.167489 Batch=299, step=18300, lr=0.124000, batch loss=0.010957, epoch loss=0.178446 Batch=359, step=18360, lr=0.123750, batch loss=0.029637, epoch loss=0.208083 Batch=419, step=18420, lr=0.123500, batch loss=0.026631, epoch loss=0.234714 Batch=479, step=18480, lr=0.123250, batch loss=0.009538, epoch loss=0.244252 Batch=539, step=18540, lr=0.123000, batch loss=0.020484, epoch loss=0.264736 Batch=599, step=18600, lr=0.122750, batch loss=0.030806, epoch loss=0.295541 Batch=659, step=18660, lr=0.122500, batch loss=0.024251, epoch loss=0.319793 Batch=719, step=18720, lr=0.122250, batch loss=0.050772, epoch loss=0.370565 Batch=779, step=18780, lr=0.122000, batch loss=0.102715, epoch loss=0.473280 Batch=839, step=18840, lr=0.121750, batch loss=0.052845, epoch loss=0.526125 Batch=899, step=18900, lr=0.121500, batch loss=0.053702, epoch loss=0.579826 Batch=959, step=18960, lr=0.121250, batch loss=0.013740, epoch loss=0.593566 Batch=1019, step=19020, lr=0.121000, batch loss=0.021450, epoch loss=0.615016 Batch=1079, step=19080, lr=0.120750, batch loss=0.006879, epoch loss=0.621895 Batch=1139, step=19140, lr=0.120500, batch loss=0.023753, epoch loss=0.645648 Batch=1199, step=19200, lr=0.120250, batch loss=0.009643, epoch loss=0.655291 Epoch=15, step=19200, lr=0.120250, epoch loss=0.655291 Batch=59, step=19260, lr=0.120000, batch loss=0.004845, epoch loss=0.004845 Batch=119, step=19320, lr=0.119750, batch loss=0.015500, epoch loss=0.020344 Batch=179, step=19380, lr=0.119250, batch loss=0.031687, epoch loss=0.052032 Batch=239, step=19440, lr=0.119250, batch loss=0.020487, epoch loss=0.072519 Batch=299, step=19500, lr=0.119000, batch loss=0.004772, epoch loss=0.077291 Batch=359, step=19560, lr=0.118750, batch loss=0.015962, epoch loss=0.093253 Batch=419, step=19620, lr=0.118500, batch loss=0.018921, epoch loss=0.112174 Batch=479, step=19680, lr=0.118250, batch loss=0.008729, epoch loss=0.120904 Batch=539, step=19740, lr=0.118000, batch loss=0.018593, epoch loss=0.139497 Batch=599, step=19800, lr=0.117750, batch loss=0.019141, epoch loss=0.158638 Batch=659, step=19860, lr=0.117500, batch loss=0.017694, epoch loss=0.176332 Batch=719, step=19920, lr=0.117250, batch loss=0.016082, epoch loss=0.192414 Batch=779, step=19980, lr=0.117000, batch loss=0.023530, epoch loss=0.215944 Batch=839, step=20040, lr=0.116750, batch loss=0.029617, epoch loss=0.245561 Batch=899, step=20100, lr=0.116500, batch loss=0.030065, epoch loss=0.275626 Batch=959, step=20160, lr=0.116250, batch loss=0.011210, epoch loss=0.286836 Batch=1019, step=20220, lr=0.116000, batch loss=0.013915, epoch loss=0.300751 Batch=1079, step=20280, lr=0.115750, batch loss=0.004544, epoch loss=0.305296 Batch=1139, step=20340, lr=0.115500, batch loss=0.018565, epoch loss=0.323861 Batch=1199, step=20400, lr=0.115250, batch loss=0.007671, epoch loss=0.331532 Epoch=16, step=20400, lr=0.115250, epoch loss=0.331532 Batch=59, step=20460, lr=0.115000, batch loss=0.003421, epoch loss=0.003421 Batch=119, step=20520, lr=0.114750, batch loss=0.008914, epoch loss=0.012334 Batch=179, step=20580, lr=0.114500, batch loss=0.020519, epoch loss=0.032853 Batch=239, step=20640, lr=0.114250, batch loss=0.019249, epoch loss=0.052102 Batch=299, step=20700, lr=0.114000, batch loss=0.008098, epoch loss=0.060200 Batch=359, step=20760, lr=0.113750, batch loss=0.014218, epoch loss=0.074418 Batch=419, step=20820, lr=0.113500, batch loss=0.014728, epoch loss=0.089146 Batch=479, step=20880, lr=0.113250, batch loss=0.003326, epoch loss=0.092472 Batch=539, step=20940, lr=0.113000, batch loss=0.017833, epoch loss=0.110305 Batch=599, step=21000, lr=0.112750, batch loss=0.020808, epoch loss=0.131113 Batch=659, step=21060, lr=0.112500, batch loss=0.014571, epoch loss=0.145683 Batch=719, step=21120, lr=0.112250, batch loss=0.043978, epoch loss=0.189662 Batch=779, step=21180, lr=0.112000, batch loss=0.073794, epoch loss=0.263456 Batch=839, step=21240, lr=0.111500, batch loss=0.024711, epoch loss=0.288167 Batch=899, step=21300, lr=0.111500, batch loss=0.028418, epoch loss=0.316585 Batch=959, step=21360, lr=0.111000, batch loss=0.010671, epoch loss=0.327256 Batch=1019, step=21420, lr=0.111000, batch loss=0.013069, epoch loss=0.340325 Batch=1079, step=21480, lr=0.110750, batch loss=0.001958, epoch loss=0.342284 Batch=1139, step=21540, lr=0.110500, batch loss=0.012643, epoch loss=0.354927 Batch=1199, step=21600, lr=0.110250, batch loss=0.005180, epoch loss=0.360107 Epoch=17, step=21600, lr=0.110250, epoch loss=0.360107 Batch=59, step=21660, lr=0.110000, batch loss=0.002603, epoch loss=0.002603 Batch=119, step=21720, lr=0.109750, batch loss=0.006640, epoch loss=0.009243 Batch=179, step=21780, lr=0.109500, batch loss=0.012420, epoch loss=0.021663 Batch=239, step=21840, lr=0.109250, batch loss=0.009211, epoch loss=0.030874 Batch=299, step=21900, lr=0.109000, batch loss=0.003980, epoch loss=0.034854 Batch=359, step=21960, lr=0.108750, batch loss=0.013430, epoch loss=0.048283 Batch=419, step=22020, lr=0.108500, batch loss=0.012625, epoch loss=0.060908 Batch=479, step=22080, lr=0.108250, batch loss=0.003615, epoch loss=0.064523 Batch=539, step=22140, lr=0.108000, batch loss=0.014725, epoch loss=0.079248 Batch=599, step=22200, lr=0.107750, batch loss=0.015979, epoch loss=0.095226 Batch=659, step=22260, lr=0.107500, batch loss=0.013694, epoch loss=0.108920 Batch=719, step=22320, lr=0.107250, batch loss=0.021419, epoch loss=0.130339 Batch=779, step=22380, lr=0.107000, batch loss=0.031478, epoch loss=0.161817 Batch=839, step=22440, lr=0.106750, batch loss=0.027136, epoch loss=0.188954 Batch=899, step=22500, lr=0.106500, batch loss=0.026465, epoch loss=0.215419 Batch=959, step=22560, lr=0.106250, batch loss=0.008850, epoch loss=0.224269 Batch=1019, step=22620, lr=0.106000, batch loss=0.008477, epoch loss=0.232746 Batch=1079, step=22680, lr=0.105750, batch loss=0.000645, epoch loss=0.233391 Batch=1139, step=22740, lr=0.105500, batch loss=0.011615, epoch loss=0.245006 Batch=1199, step=22800, lr=0.105250, batch loss=0.004954, epoch loss=0.249960 Epoch=18, step=22800, lr=0.105250, epoch loss=0.249960 Batch=59, step=22860, lr=0.105000, batch loss=0.001821, epoch loss=0.001821 Batch=119, step=22920, lr=0.104750, batch loss=0.005500, epoch loss=0.007320 Batch=179, step=22980, lr=0.104500, batch loss=0.010710, epoch loss=0.018030 Batch=239, step=23040, lr=0.104250, batch loss=0.008825, epoch loss=0.026856 Batch=299, step=23100, lr=0.104000, batch loss=0.006628, epoch loss=0.033483 Batch=359, step=23160, lr=0.103750, batch loss=0.012207, epoch loss=0.045691 Batch=419, step=23220, lr=0.103500, batch loss=0.011082, epoch loss=0.056773 Batch=479, step=23280, lr=0.103250, batch loss=0.002668, epoch loss=0.059441 Batch=539, step=23340, lr=0.103000, batch loss=0.016646, epoch loss=0.076087 Batch=599, step=23400, lr=0.102750, batch loss=0.014002, epoch loss=0.090089 Batch=659, step=23460, lr=0.102500, batch loss=0.010852, epoch loss=0.100941 Batch=719, step=23520, lr=0.102250, batch loss=0.014575, epoch loss=0.115516 Batch=779, step=23580, lr=0.102000, batch loss=0.022301, epoch loss=0.137817 Batch=839, step=23640, lr=0.101750, batch loss=0.025447, epoch loss=0.163264 Batch=899, step=23700, lr=0.101500, batch loss=0.023645, epoch loss=0.186910 Batch=959, step=23760, lr=0.101250, batch loss=0.008552, epoch loss=0.195462 Batch=1019, step=23820, lr=0.101000, batch loss=0.008137, epoch loss=0.203599 Batch=1079, step=23880, lr=0.100750, batch loss=0.000525, epoch loss=0.204123 Batch=1139, step=23940, lr=0.100500, batch loss=0.009803, epoch loss=0.213926 Batch=1199, step=24000, lr=0.100250, batch loss=0.004718, epoch loss=0.218644 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218644 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%.....**************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%...............****#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 21:23.24 ---> saved as "4570d1f8d3cc7d4a04b1eb1c90dddaab20fb4b82131c6531aeb1c5de973f02cb" Job succeeded 2025-03-20 21:23.25: Job succeeded