2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (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 451f36ee 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 22:51.40: 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 22:51.40: 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 22:51.40: Waiting for resource in pool OCluster 2025-03-20 22:51.40: Waiting for worker… 2025-03-20 22:51.40: Got resource from pool OCluster Building on phoebe.caelum.ci.dev HEAD is now at 1a4d0ebb fPIC for cc: but only openSUSE complained https://ocaml.ci.dev/github/ahrefs/ocannl/commit/ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0/variant/opensuse-15.6-5.3_opam-2.3 HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings (from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) 2025-03-20 22:51.42 ---> using "4596744fc3a31520e92f77a93ddee1465e358aef6e37bdf13eead77f318ac19c" from cache /: (comment ubuntu-24.10-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-20 22:51.42 ---> using "92dbdccd2ae7da2a97a55cfcdaa39d620d5e2e1b8b97f3dba7905ee379079ded" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 31 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=31 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 22:51.42 ---> using "34037fa2027c885ef052f6b26bda0c39d7430cd2fd9bfeab1b457c754e5b1f3d" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-20 22:51.42 ---> using "ad2ab2a4f4e9ea6d10f2f7d75a528b347a9df63d0147bccbe314000671024be6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:51.42 ---> using "e61d4d6fb57c73a00b7acab9d8781ac5302befef711b2735a195337b8e68d737" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..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 22:51.42 ---> using "b874972d3e4076a232741d0cfa563d8019de8c9040d9b0425ca0556b4c7df6ae" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:51.42 ---> using "cfe2efc7ff513e6f1ee8a4fc74f61f994c21ca17326602c6d3946665d18c5446" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 22:51.42 ---> using "06b7a5177e39ab000f43512190bc7e636a849fd46b5d0eb5812a06a0fac2b139" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:51.42 ---> using "bbff1aebbdda010a01bc321072f49b145b3323668388564f06414573ac9a821b" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://security.ubuntu.com/ubuntu oracular-security InRelease [126 kB] - Hit:2 http://archive.ubuntu.com/ubuntu oracular InRelease - Get:3 http://archive.ubuntu.com/ubuntu oracular-updates InRelease [126 kB] - Get:4 http://archive.ubuntu.com/ubuntu oracular-backports InRelease [126 kB] - Get:5 http://security.ubuntu.com/ubuntu oracular-security/main amd64 Packages [300 kB] - Get:6 http://security.ubuntu.com/ubuntu oracular-security/universe amd64 Packages [191 kB] - Get:7 http://archive.ubuntu.com/ubuntu oracular-updates/universe amd64 Packages [259 kB] - Get:8 http://archive.ubuntu.com/ubuntu oracular-updates/main amd64 Packages [421 kB] - Fetched 1549 kB in 0s (3947 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 22:51.42 ---> using "32916ac598b2d645f14525063194e1c74830ccd124b3601cc3d99f3720053436" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved 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_hash.v0.17.0 (cached) -> retrieved ppx_here.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 ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved 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 ptime.1.2.0 -> installed mtime.2.1.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed base.v0.17.1 -> installed printbox-md.0.12 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_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 22:51.42 ---> using "1e29b3f80230c2650edf6167986e21b36b2addd4e7b1e671f82c79f3cb59146c" from cache /src: (copy (src .) (dst /src)) 2025-03-20 22:51.43 ---> saved as "569ca6ce3b33c2c43d2ffa0115ec911c9e05782585fdc305c2054361461392b1" /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/4ff1c589533ca2c23e37996864c2c7ed/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/4ff1c589533ca2c23e37996864c2c7ed/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4ff1c589533ca2c23e37996864c2c7ed/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/4ff1c589533ca2c23e37996864c2c7ed/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4ff1c589533ca2c23e37996864c2c7ed/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/7ee5abb61bb9afd5abba5d8c12a0c7d6/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4ff1c589533ca2c23e37996864c2c7ed/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4ff1c589533ca2c23e37996864c2c7ed/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/4ff1c589533ca2c23e37996864c2c7ed/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4ff1c589533ca2c23e37996864c2c7ed/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/4ff1c589533ca2c23e37996864c2c7ed/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4ff1c589533ca2c23e37996864c2c7ed/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/4ff1c589533ca2c23e37996864c2c7ed/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4ff1c589533ca2c23e37996864c2c7ed/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/4ff1c589533ca2c23e37996864c2c7ed/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4ff1c589533ca2c23e37996864c2c7ed/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/4ff1c589533ca2c23e37996864c2c7ed/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4ff1c589533ca2c23e37996864c2c7ed/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/4ff1c589533ca2c23e37996864c2c7ed/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4ff1c589533ca2c23e37996864c2c7ed/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/4ff1c589533ca2c23e37996864c2c7ed/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199250, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.856726, epoch loss=35.627544 Batch=299, step=300, lr=0.199000, batch loss=1.435283, epoch loss=37.062828 Batch=359, step=360, lr=0.198750, batch loss=1.340531, epoch loss=38.403359 Batch=419, step=420, lr=0.198500, batch loss=0.610731, epoch loss=39.014090 Batch=479, step=480, lr=0.198250, batch loss=0.747171, epoch loss=39.761261 Batch=539, step=540, lr=0.198000, batch loss=0.688775, epoch loss=40.450036 Batch=599, step=600, lr=0.197750, batch loss=1.103253, epoch loss=41.553289 Batch=659, step=660, lr=0.197500, batch loss=0.481602, epoch loss=42.034891 Batch=719, step=720, lr=0.197250, batch loss=0.410586, epoch loss=42.445477 Batch=779, step=780, lr=0.197000, batch loss=0.469308, epoch loss=42.914784 Batch=839, step=840, lr=0.196750, batch loss=0.450167, epoch loss=43.364951 Batch=899, step=900, lr=0.196500, batch loss=0.383394, epoch loss=43.748345 Batch=959, step=960, lr=0.196000, batch loss=0.268840, epoch loss=44.017185 Batch=1019, step=1020, lr=0.196000, batch loss=0.486005, epoch loss=44.503190 Batch=1079, step=1080, lr=0.195750, batch loss=0.266647, epoch loss=44.769837 Batch=1139, step=1140, lr=0.195500, batch loss=0.329753, epoch loss=45.099589 Batch=1199, step=1200, lr=0.195250, batch loss=0.263554, epoch loss=45.363144 Epoch=0, step=1200, lr=0.195250, epoch loss=45.363144 Batch=59, step=1260, lr=0.195000, batch loss=0.263520, epoch loss=0.263520 Batch=119, step=1320, lr=0.194750, batch loss=0.207988, epoch loss=0.471509 Batch=179, step=1380, lr=0.194500, batch loss=0.249313, epoch loss=0.720821 Batch=239, step=1440, lr=0.194250, batch loss=0.351461, epoch loss=1.072282 Batch=299, step=1500, lr=0.194000, batch loss=0.236795, epoch loss=1.309076 Batch=359, step=1560, lr=0.193750, batch loss=0.313184, epoch loss=1.622261 Batch=419, step=1620, lr=0.193500, batch loss=0.312518, epoch loss=1.934779 Batch=479, step=1680, lr=0.193250, batch loss=0.277156, epoch loss=2.211935 Batch=539, step=1740, lr=0.193000, batch loss=0.209685, epoch loss=2.421619 Batch=599, step=1800, lr=0.192750, batch loss=0.245689, epoch loss=2.667308 Batch=659, step=1860, lr=0.192500, batch loss=0.362817, epoch loss=3.030126 Batch=719, step=1920, lr=0.192250, batch loss=0.356974, epoch loss=3.387099 Batch=779, step=1980, lr=0.192000, batch loss=0.382445, epoch loss=3.769544 Batch=839, step=2040, lr=0.191750, batch loss=0.341917, epoch loss=4.111461 Batch=899, step=2100, lr=0.191250, batch loss=0.295965, epoch loss=4.407427 Batch=959, step=2160, lr=0.191250, batch loss=0.214362, epoch loss=4.621789 Batch=1019, step=2220, lr=0.191000, batch loss=0.332734, epoch loss=4.954523 Batch=1079, step=2280, lr=0.190750, batch loss=0.208980, epoch loss=5.163503 Batch=1139, step=2340, lr=0.190500, batch loss=0.270994, epoch loss=5.434498 Batch=1199, step=2400, lr=0.190250, batch loss=0.219649, epoch loss=5.654147 Epoch=1, step=2400, lr=0.190250, epoch loss=5.654147 Batch=59, step=2460, lr=0.190000, batch loss=0.230246, epoch loss=0.230246 Batch=119, step=2520, lr=0.189750, batch loss=0.199041, epoch loss=0.429287 Batch=179, step=2580, lr=0.189500, batch loss=0.220781, epoch loss=0.650068 Batch=239, step=2640, lr=0.189250, batch loss=0.329148, epoch loss=0.979217 Batch=299, step=2700, lr=0.189000, batch loss=0.207940, epoch loss=1.187156 Batch=359, step=2760, lr=0.188750, batch loss=0.294031, epoch loss=1.481187 Batch=419, step=2820, lr=0.188500, batch loss=0.282005, epoch loss=1.763192 Batch=479, step=2880, lr=0.188250, batch loss=0.259663, epoch loss=2.022855 Batch=539, step=2940, lr=0.188000, batch loss=0.200713, epoch loss=2.223568 Batch=599, step=3000, lr=0.187750, batch loss=0.247655, epoch loss=2.471223 Batch=659, step=3060, lr=0.187500, batch loss=0.347563, epoch loss=2.818785 Batch=719, step=3120, lr=0.187250, batch loss=0.348238, epoch loss=3.167023 Batch=779, step=3180, lr=0.187000, batch loss=0.364939, epoch loss=3.531961 Batch=839, step=3240, lr=0.186750, batch loss=0.325179, epoch loss=3.857140 Batch=899, step=3300, lr=0.186500, batch loss=0.289892, epoch loss=4.147032 Batch=959, step=3360, lr=0.186250, batch loss=0.214082, epoch loss=4.361114 Batch=1019, step=3420, lr=0.186000, batch loss=0.307186, epoch loss=4.668300 Batch=1079, step=3480, lr=0.185750, batch loss=0.179126, epoch loss=4.847425 Batch=1139, step=3540, lr=0.185500, batch loss=0.236252, epoch loss=5.083677 Batch=1199, step=3600, lr=0.185250, batch loss=0.199672, epoch loss=5.283349 Epoch=2, step=3600, lr=0.185250, epoch loss=5.283349 Batch=59, step=3660, lr=0.185000, batch loss=0.224891, epoch loss=0.224891 Batch=119, step=3720, lr=0.184750, batch loss=0.195084, epoch loss=0.419975 Batch=179, step=3780, lr=0.184500, batch loss=0.212671, epoch loss=0.632645 Batch=239, step=3840, lr=0.184250, batch loss=0.317758, epoch loss=0.950404 Batch=299, step=3900, lr=0.184000, batch loss=0.207716, epoch loss=1.158119 Batch=359, step=3960, lr=0.183750, batch loss=0.288547, epoch loss=1.446666 Batch=419, step=4020, lr=0.183500, batch loss=0.286711, epoch loss=1.733377 Batch=479, step=4080, lr=0.183250, batch loss=0.264113, epoch loss=1.997490 Batch=539, step=4140, lr=0.183000, batch loss=0.202787, epoch loss=2.200277 Batch=599, step=4200, lr=0.182750, batch loss=0.255832, epoch loss=2.456108 Batch=659, step=4260, lr=0.182500, batch loss=0.344404, epoch loss=2.800512 Batch=719, step=4320, lr=0.182250, batch loss=0.349075, epoch loss=3.149587 Batch=779, step=4380, lr=0.182000, batch loss=0.346374, epoch loss=3.495961 Batch=839, step=4440, lr=0.181750, batch loss=0.319659, epoch loss=3.815620 Batch=899, step=4500, lr=0.181500, batch loss=0.291580, epoch loss=4.107200 Batch=959, step=4560, lr=0.181250, batch loss=0.244186, epoch loss=4.351386 Batch=1019, step=4620, lr=0.181000, batch loss=0.353280, epoch loss=4.704666 Batch=1079, step=4680, lr=0.180750, batch loss=0.212627, epoch loss=4.917293 Batch=1139, step=4740, lr=0.180500, batch loss=0.251408, epoch loss=5.168700 Batch=1199, step=4800, lr=0.180250, batch loss=0.191865, epoch loss=5.360566 Epoch=3, step=4800, lr=0.180250, epoch loss=5.360566 Batch=59, step=4860, lr=0.180000, batch loss=0.230782, epoch loss=0.230782 Batch=119, step=4920, lr=0.179750, batch loss=0.188536, epoch loss=0.419318 Batch=179, step=4980, lr=0.179500, batch loss=0.207232, epoch loss=0.626550 Batch=239, step=5040, lr=0.179250, batch loss=0.311629, epoch loss=0.938179 Batch=299, step=5100, lr=0.179000, batch loss=0.206428, epoch loss=1.144607 Batch=359, step=5160, lr=0.178750, batch loss=0.271186, epoch loss=1.415793 Batch=419, step=5220, lr=0.178500, batch loss=0.265096, epoch loss=1.680889 Batch=479, step=5280, lr=0.178250, batch loss=0.242705, epoch loss=1.923593 Batch=539, step=5340, lr=0.178000, batch loss=0.192736, epoch loss=2.116329 Batch=599, step=5400, lr=0.177750, batch loss=0.226138, epoch loss=2.342467 Batch=659, step=5460, lr=0.177500, batch loss=0.326717, epoch loss=2.669184 Batch=719, step=5520, lr=0.177250, batch loss=0.334906, epoch loss=3.004090 Batch=779, step=5580, lr=0.177000, batch loss=0.344643, epoch loss=3.348733 Batch=839, step=5640, lr=0.176750, batch loss=0.310180, epoch loss=3.658913 Batch=899, step=5700, lr=0.176500, batch loss=0.271807, epoch loss=3.930719 Batch=959, step=5760, lr=0.176250, batch loss=0.217026, epoch loss=4.147746 Batch=1019, step=5820, lr=0.176000, batch loss=0.341945, epoch loss=4.489691 Batch=1079, step=5880, lr=0.175750, batch loss=0.204206, epoch loss=4.693897 Batch=1139, step=5940, lr=0.175500, batch loss=0.241678, epoch loss=4.935575 Batch=1199, step=6000, lr=0.175250, batch loss=0.188591, epoch loss=5.124166 Epoch=4, step=6000, lr=0.175250, epoch loss=5.124166 Batch=59, step=6060, lr=0.175000, batch loss=0.237522, epoch loss=0.237522 Batch=119, step=6120, lr=0.174750, batch loss=0.189333, epoch loss=0.426855 Batch=179, step=6180, lr=0.174500, batch loss=0.203598, epoch loss=0.630452 Batch=239, step=6240, lr=0.174250, batch loss=0.303795, epoch loss=0.934248 Batch=299, step=6300, lr=0.174000, batch loss=0.204071, epoch loss=1.138319 Batch=359, step=6360, lr=0.173750, batch loss=0.269039, epoch loss=1.407358 Batch=419, step=6420, lr=0.173500, batch loss=0.261375, epoch loss=1.668733 Batch=479, step=6480, lr=0.173250, batch loss=0.238215, epoch loss=1.906948 Batch=539, step=6540, lr=0.173000, batch loss=0.188272, epoch loss=2.095220 Batch=599, step=6600, lr=0.172750, batch loss=0.225533, epoch loss=2.320754 Batch=659, step=6660, lr=0.172500, batch loss=0.317468, epoch loss=2.638221 Batch=719, step=6720, lr=0.172250, batch loss=0.316047, epoch loss=2.954268 Batch=779, step=6780, lr=0.172000, batch loss=0.334863, epoch loss=3.289130 Batch=839, step=6840, lr=0.171750, batch loss=0.305714, epoch loss=3.594844 Batch=899, step=6900, lr=0.171500, batch loss=0.267011, epoch loss=3.861855 Batch=959, step=6960, lr=0.171250, batch loss=0.209079, epoch loss=4.070934 Batch=1019, step=7020, lr=0.171000, batch loss=0.330004, epoch loss=4.400939 Batch=1079, step=7080, lr=0.170750, batch loss=0.181608, epoch loss=4.582547 Batch=1139, step=7140, lr=0.170500, batch loss=0.216594, epoch loss=4.799141 Batch=1199, step=7200, lr=0.170250, batch loss=0.182472, epoch loss=4.981614 Epoch=5, step=7200, lr=0.170250, epoch loss=4.981614 Batch=59, step=7260, lr=0.170000, batch loss=0.227380, epoch loss=0.227380 Batch=119, step=7320, lr=0.169750, batch loss=0.189374, epoch loss=0.416754 Batch=179, step=7380, lr=0.169500, batch loss=0.196784, epoch loss=0.613537 Batch=239, step=7440, lr=0.169250, batch loss=0.291199, epoch loss=0.904736 Batch=299, step=7500, lr=0.169000, batch loss=0.194340, epoch loss=1.099077 Batch=359, step=7560, lr=0.168750, batch loss=0.257288, epoch loss=1.356364 Batch=419, step=7620, lr=0.168500, batch loss=0.250790, epoch loss=1.607154 Batch=479, step=7680, lr=0.168250, batch loss=0.225412, epoch loss=1.832566 Batch=539, step=7740, lr=0.168000, batch loss=0.185802, epoch loss=2.018368 Batch=599, step=7800, lr=0.167750, batch loss=0.226501, epoch loss=2.244869 Batch=659, step=7860, lr=0.167500, batch loss=0.305813, epoch loss=2.550681 Batch=719, step=7920, lr=0.167250, batch loss=0.308816, epoch loss=2.859497 Batch=779, step=7980, lr=0.167000, batch loss=0.322384, epoch loss=3.181881 Batch=839, step=8040, lr=0.166750, batch loss=0.297244, epoch loss=3.479125 Batch=899, step=8100, lr=0.166500, batch loss=0.258940, epoch loss=3.738065 Batch=959, step=8160, lr=0.166250, batch loss=0.210374, epoch loss=3.948439 Batch=1019, step=8220, lr=0.166000, batch loss=0.319222, epoch loss=4.267661 Batch=1079, step=8280, lr=0.165750, batch loss=0.169349, epoch loss=4.437009 Batch=1139, step=8340, lr=0.165500, batch loss=0.208044, epoch loss=4.645053 Batch=1199, step=8400, lr=0.165250, batch loss=0.179613, epoch loss=4.824666 Epoch=6, step=8400, lr=0.165250, epoch loss=4.824666 Batch=59, step=8460, lr=0.165000, batch loss=0.227575, epoch loss=0.227575 Batch=119, step=8520, lr=0.164750, batch loss=0.177924, epoch loss=0.405499 Batch=179, step=8580, lr=0.164500, batch loss=0.187816, epoch loss=0.593316 Batch=239, step=8640, lr=0.164250, batch loss=0.278635, epoch loss=0.871951 Batch=299, step=8700, lr=0.164000, batch loss=0.191589, epoch loss=1.063539 Batch=359, step=8760, lr=0.163750, batch loss=0.250907, epoch loss=1.314446 Batch=419, step=8820, lr=0.163500, batch loss=0.243824, epoch loss=1.558270 Batch=479, step=8880, lr=0.163250, batch loss=0.230374, epoch loss=1.788645 Batch=539, step=8940, lr=0.163000, batch loss=0.178693, epoch loss=1.967337 Batch=599, step=9000, lr=0.162750, batch loss=0.219423, epoch loss=2.186761 Batch=659, step=9060, lr=0.162500, batch loss=0.292887, epoch loss=2.479648 Batch=719, step=9120, lr=0.162250, batch loss=0.298303, epoch loss=2.777951 Batch=779, step=9180, lr=0.162000, batch loss=0.315207, epoch loss=3.093158 Batch=839, step=9240, lr=0.161750, batch loss=0.280603, epoch loss=3.373761 Batch=899, step=9300, lr=0.161500, batch loss=0.250657, epoch loss=3.624418 Batch=959, step=9360, lr=0.161250, batch loss=0.190500, epoch loss=3.814918 Batch=1019, step=9420, lr=0.161000, batch loss=0.317647, epoch loss=4.132565 Batch=1079, step=9480, lr=0.160750, batch loss=0.202320, epoch loss=4.334885 Batch=1139, step=9540, lr=0.160500, batch loss=0.212481, epoch loss=4.547366 Batch=1199, step=9600, lr=0.160250, batch loss=0.167865, epoch loss=4.715230 Epoch=7, step=9600, lr=0.160250, epoch loss=4.715230 Batch=59, step=9660, lr=0.160000, batch loss=0.212893, epoch loss=0.212893 Batch=119, step=9720, lr=0.159750, batch loss=0.171243, epoch loss=0.384136 Batch=179, step=9780, lr=0.159500, batch loss=0.178600, epoch loss=0.562735 Batch=239, step=9840, lr=0.159250, batch loss=0.260659, epoch loss=0.823394 Batch=299, step=9900, lr=0.159000, batch loss=0.175649, epoch loss=0.999043 Batch=359, step=9960, lr=0.158750, batch loss=0.236771, epoch loss=1.235814 Batch=419, step=10020, lr=0.158500, batch loss=0.235789, epoch loss=1.471603 Batch=479, step=10080, lr=0.158250, batch loss=0.220131, epoch loss=1.691734 Batch=539, step=10140, lr=0.158000, batch loss=0.171172, epoch loss=1.862906 Batch=599, step=10200, lr=0.157750, batch loss=0.203052, epoch loss=2.065958 Batch=659, step=10260, lr=0.157500, batch loss=0.282040, epoch loss=2.347998 Batch=719, step=10320, lr=0.157250, batch loss=0.284641, epoch loss=2.632639 Batch=779, step=10380, lr=0.157000, batch loss=0.293935, epoch loss=2.926574 Batch=839, step=10440, lr=0.156750, batch loss=0.265649, epoch loss=3.192222 Batch=899, step=10500, lr=0.156500, batch loss=0.237389, epoch loss=3.429612 Batch=959, step=10560, lr=0.156000, batch loss=0.188237, epoch loss=3.617849 Batch=1019, step=10620, lr=0.156000, batch loss=0.288202, epoch loss=3.906051 Batch=1079, step=10680, lr=0.155750, batch loss=0.187796, epoch loss=4.093847 Batch=1139, step=10740, lr=0.155500, batch loss=0.202149, epoch loss=4.295997 Batch=1199, step=10800, lr=0.155000, batch loss=0.155721, epoch loss=4.451717 Epoch=8, step=10800, lr=0.155000, epoch loss=4.451717 Batch=59, step=10860, lr=0.155000, batch loss=0.178646, epoch loss=0.178646 Batch=119, step=10920, lr=0.154500, batch loss=0.152111, epoch loss=0.330757 Batch=179, step=10980, lr=0.154250, batch loss=0.166847, epoch loss=0.497604 Batch=239, step=11040, lr=0.154250, batch loss=0.247069, epoch loss=0.744673 Batch=299, step=11100, lr=0.154000, batch loss=0.159380, epoch loss=0.904053 Batch=359, step=11160, lr=0.153750, batch loss=0.212834, epoch loss=1.116888 Batch=419, step=11220, lr=0.153500, batch loss=0.206458, epoch loss=1.323346 Batch=479, step=11280, lr=0.153250, batch loss=0.184365, epoch loss=1.507711 Batch=539, step=11340, lr=0.153000, batch loss=0.153280, epoch loss=1.660991 Batch=599, step=11400, lr=0.152750, batch loss=0.179798, epoch loss=1.840789 Batch=659, step=11460, lr=0.152500, batch loss=0.263906, epoch loss=2.104695 Batch=719, step=11520, lr=0.152250, batch loss=0.255428, epoch loss=2.360123 Batch=779, step=11580, lr=0.152000, batch loss=0.272067, epoch loss=2.632190 Batch=839, step=11640, lr=0.151750, batch loss=0.255892, epoch loss=2.888081 Batch=899, step=11700, lr=0.151500, batch loss=0.217769, epoch loss=3.105851 Batch=959, step=11760, lr=0.151250, batch loss=0.186364, epoch loss=3.292214 Batch=1019, step=11820, lr=0.151000, batch loss=0.280078, epoch loss=3.572292 Batch=1079, step=11880, lr=0.150750, batch loss=0.161448, epoch loss=3.733740 Batch=1139, step=11940, lr=0.150250, batch loss=0.198021, epoch loss=3.931761 Batch=1199, step=12000, lr=0.150250, batch loss=0.140749, epoch loss=4.072510 Epoch=9, step=12000, lr=0.150250, epoch loss=4.072510 Batch=59, step=12060, lr=0.150000, batch loss=0.157545, epoch loss=0.157545 Batch=119, step=12120, lr=0.149750, batch loss=0.128819, epoch loss=0.286364 Batch=179, step=12180, lr=0.149500, batch loss=0.149825, epoch loss=0.436189 Batch=239, step=12240, lr=0.149250, batch loss=0.216311, epoch loss=0.652500 Batch=299, step=12300, lr=0.149000, batch loss=0.147096, epoch loss=0.799596 Batch=359, step=12360, lr=0.148750, batch loss=0.191907, epoch loss=0.991503 Batch=419, step=12420, lr=0.148500, batch loss=0.210771, epoch loss=1.202274 Batch=479, step=12480, lr=0.148250, batch loss=0.175582, epoch loss=1.377856 Batch=539, step=12540, lr=0.148000, batch loss=0.145476, epoch loss=1.523332 Batch=599, step=12600, lr=0.147750, batch loss=0.151123, epoch loss=1.674455 Batch=659, step=12660, lr=0.147500, batch loss=0.230551, epoch loss=1.905006 Batch=719, step=12720, lr=0.147250, batch loss=0.225826, epoch loss=2.130832 Batch=779, step=12780, lr=0.147000, batch loss=0.234822, epoch loss=2.365654 Batch=839, step=12840, lr=0.146750, batch loss=0.231981, epoch loss=2.597635 Batch=899, step=12900, lr=0.146500, batch loss=0.222185, epoch loss=2.819821 Batch=959, step=12960, lr=0.146250, batch loss=0.150787, epoch loss=2.970608 Batch=1019, step=13020, lr=0.146000, batch loss=0.265778, epoch loss=3.236386 Batch=1079, step=13080, lr=0.145750, batch loss=0.111056, epoch loss=3.347442 Batch=1139, step=13140, lr=0.145500, batch loss=0.157699, epoch loss=3.505141 Batch=1199, step=13200, lr=0.145250, batch loss=0.118679, epoch loss=3.623819 Epoch=10, step=13200, lr=0.145250, epoch loss=3.623819 Batch=59, step=13260, lr=0.145000, batch loss=0.140318, epoch loss=0.140318 Batch=119, step=13320, lr=0.144750, batch loss=0.121016, epoch loss=0.261334 Batch=179, step=13380, lr=0.144500, batch loss=0.128615, epoch loss=0.389949 Batch=239, step=13440, lr=0.144250, batch loss=0.191890, epoch loss=0.581839 Batch=299, step=13500, lr=0.144000, batch loss=0.118066, epoch loss=0.699905 Batch=359, step=13560, lr=0.143750, batch loss=0.162693, epoch loss=0.862599 Batch=419, step=13620, lr=0.143500, batch loss=0.161041, epoch loss=1.023639 Batch=479, step=13680, lr=0.143250, batch loss=0.145968, epoch loss=1.169608 Batch=539, step=13740, lr=0.143000, batch loss=0.118095, epoch loss=1.287703 Batch=599, step=13800, lr=0.142750, batch loss=0.119590, epoch loss=1.407292 Batch=659, step=13860, lr=0.142500, batch loss=0.176717, epoch loss=1.584009 Batch=719, step=13920, lr=0.142250, batch loss=0.172252, epoch loss=1.756261 Batch=779, step=13980, lr=0.142000, batch loss=0.178884, epoch loss=1.935145 Batch=839, step=14040, lr=0.141750, batch loss=0.204648, epoch loss=2.139793 Batch=899, step=14100, lr=0.141500, batch loss=0.220279, epoch loss=2.360072 Batch=959, step=14160, lr=0.141250, batch loss=0.101698, epoch loss=2.461770 Batch=1019, step=14220, lr=0.141000, batch loss=0.196571, epoch loss=2.658341 Batch=1079, step=14280, lr=0.140750, batch loss=0.083272, epoch loss=2.741613 Batch=1139, step=14340, lr=0.140500, batch loss=0.139180, epoch loss=2.880793 Batch=1199, step=14400, lr=0.140250, batch loss=0.088271, epoch loss=2.969064 Epoch=11, step=14400, lr=0.140250, epoch loss=2.969064 Batch=59, step=14460, lr=0.140000, batch loss=0.113003, epoch loss=0.113003 Batch=119, step=14520, lr=0.139750, batch loss=0.109963, epoch loss=0.222966 Batch=179, step=14580, lr=0.139500, batch loss=0.102782, epoch loss=0.325748 Batch=239, step=14640, lr=0.139250, batch loss=0.139174, epoch loss=0.464922 Batch=299, step=14700, lr=0.139000, batch loss=0.078384, epoch loss=0.543307 Batch=359, step=14760, lr=0.138750, batch loss=0.118002, epoch loss=0.661309 Batch=419, step=14820, lr=0.138500, batch loss=0.134119, epoch loss=0.795428 Batch=479, step=14880, lr=0.138250, batch loss=0.096585, epoch loss=0.892013 Batch=539, step=14940, lr=0.138000, batch loss=0.103069, epoch loss=0.995082 Batch=599, step=15000, lr=0.137750, batch loss=0.083547, epoch loss=1.078628 Batch=659, step=15060, lr=0.137500, batch loss=0.128781, epoch loss=1.207409 Batch=719, step=15120, lr=0.137250, batch loss=0.125777, epoch loss=1.333186 Batch=779, step=15180, lr=0.137000, batch loss=0.121158, epoch loss=1.454344 Batch=839, step=15240, lr=0.136750, batch loss=0.130005, epoch loss=1.584349 Batch=899, step=15300, lr=0.136500, batch loss=0.131012, epoch loss=1.715361 Batch=959, step=15360, lr=0.136250, batch loss=0.142791, epoch loss=1.858152 Batch=1019, step=15420, lr=0.136000, batch loss=0.129055, epoch loss=1.987207 Batch=1079, step=15480, lr=0.135750, batch loss=0.057405, epoch loss=2.044613 Batch=1139, step=15540, lr=0.135500, batch loss=0.105178, epoch loss=2.149791 Batch=1199, step=15600, lr=0.135250, batch loss=0.057333, epoch loss=2.207124 Epoch=12, step=15600, lr=0.135250, epoch loss=2.207124 Batch=59, step=15660, lr=0.135000, batch loss=0.088969, epoch loss=0.088969 Batch=119, step=15720, lr=0.134750, batch loss=0.135597, epoch loss=0.224566 Batch=179, step=15780, lr=0.134250, batch loss=0.099430, epoch loss=0.323996 Batch=239, step=15840, lr=0.134250, batch loss=0.100636, epoch loss=0.424632 Batch=299, step=15900, lr=0.134000, batch loss=0.049423, epoch loss=0.474055 Batch=359, step=15960, lr=0.133750, batch loss=0.083840, epoch loss=0.557895 Batch=419, step=16020, lr=0.133500, batch loss=0.078304, epoch loss=0.636199 Batch=479, step=16080, lr=0.133250, batch loss=0.049874, epoch loss=0.686073 Batch=539, step=16140, lr=0.133000, batch loss=0.074179, epoch loss=0.760252 Batch=599, step=16200, lr=0.132750, batch loss=0.168824, epoch loss=0.929075 Batch=659, step=16260, lr=0.132500, batch loss=0.098511, epoch loss=1.027586 Batch=719, step=16320, lr=0.132250, batch loss=0.132355, epoch loss=1.159941 Batch=779, step=16380, lr=0.132000, batch loss=0.263687, epoch loss=1.423628 Batch=839, step=16440, lr=0.131750, batch loss=0.092342, epoch loss=1.515969 Batch=899, step=16500, lr=0.131500, batch loss=0.075239, epoch loss=1.591209 Batch=959, step=16560, lr=0.131250, batch loss=0.041855, epoch loss=1.633064 Batch=1019, step=16620, lr=0.131000, batch loss=0.093366, epoch loss=1.726430 Batch=1079, step=16680, lr=0.130750, batch loss=0.025988, epoch loss=1.752417 Batch=1139, step=16740, lr=0.130500, batch loss=0.055687, epoch loss=1.808104 Batch=1199, step=16800, lr=0.130250, batch loss=0.030614, epoch loss=1.838718 Epoch=13, step=16800, lr=0.130250, epoch loss=1.838718 Batch=59, step=16860, lr=0.130000, batch loss=0.041284, epoch loss=0.041284 Batch=119, step=16920, lr=0.129750, batch loss=0.069036, epoch loss=0.110321 Batch=179, step=16980, lr=0.129500, batch loss=0.057890, epoch loss=0.168211 Batch=239, step=17040, lr=0.129250, batch loss=0.062435, epoch loss=0.230646 Batch=299, step=17100, lr=0.129000, batch loss=0.029377, epoch loss=0.260023 Batch=359, step=17160, lr=0.128750, batch loss=0.049315, epoch loss=0.309338 Batch=419, step=17220, lr=0.128500, batch loss=0.075745, epoch loss=0.385083 Batch=479, step=17280, lr=0.128250, batch loss=0.022901, epoch loss=0.407984 Batch=539, step=17340, lr=0.128000, batch loss=0.028374, epoch loss=0.436358 Batch=599, step=17400, lr=0.127750, batch loss=0.036680, epoch loss=0.473039 Batch=659, step=17460, lr=0.127500, batch loss=0.055369, epoch loss=0.528407 Batch=719, step=17520, lr=0.127250, batch loss=0.074448, epoch loss=0.602855 Batch=779, step=17580, lr=0.127000, batch loss=0.062714, epoch loss=0.665569 Batch=839, step=17640, lr=0.126750, batch loss=0.090306, epoch loss=0.755875 Batch=899, step=17700, lr=0.126500, batch loss=0.051500, epoch loss=0.807375 Batch=959, step=17760, lr=0.126250, batch loss=0.018919, epoch loss=0.826294 Batch=1019, step=17820, lr=0.126000, batch loss=0.028012, epoch loss=0.854306 Batch=1079, step=17880, lr=0.125750, batch loss=0.020376, epoch loss=0.874682 Batch=1139, step=17940, lr=0.125500, batch loss=0.045554, epoch loss=0.920236 Batch=1199, step=18000, lr=0.125250, batch loss=0.017278, epoch loss=0.937514 Epoch=14, step=18000, lr=0.125250, epoch loss=0.937514 Batch=59, step=18060, lr=0.125000, batch loss=0.013635, epoch loss=0.013635 Batch=119, step=18120, lr=0.124750, batch loss=0.023934, epoch loss=0.037570 Batch=179, step=18180, lr=0.124500, batch loss=0.030312, epoch loss=0.067881 Batch=239, step=18240, lr=0.124250, batch loss=0.033957, epoch loss=0.101839 Batch=299, step=18300, lr=0.124000, batch loss=0.010283, epoch loss=0.112121 Batch=359, step=18360, lr=0.123750, batch loss=0.023537, epoch loss=0.135658 Batch=419, step=18420, lr=0.123500, batch loss=0.028684, epoch loss=0.164342 Batch=479, step=18480, lr=0.123250, batch loss=0.021606, epoch loss=0.185948 Batch=539, step=18540, lr=0.123000, batch loss=0.047131, epoch loss=0.233080 Batch=599, step=18600, lr=0.122750, batch loss=0.025525, epoch loss=0.258605 Batch=659, step=18660, lr=0.122500, batch loss=0.035843, epoch loss=0.294448 Batch=719, step=18720, lr=0.122250, batch loss=0.034216, epoch loss=0.328664 Batch=779, step=18780, lr=0.122000, batch loss=0.085080, epoch loss=0.413744 Batch=839, step=18840, lr=0.121750, batch loss=0.069206, epoch loss=0.482950 Batch=899, step=18900, lr=0.121500, batch loss=0.101204, epoch loss=0.584155 Batch=959, step=18960, lr=0.121250, batch loss=0.017967, epoch loss=0.602121 Batch=1019, step=19020, lr=0.121000, batch loss=0.031602, epoch loss=0.633723 Batch=1079, step=19080, lr=0.120750, batch loss=0.005131, epoch loss=0.638854 Batch=1139, step=19140, lr=0.120500, batch loss=0.019121, epoch loss=0.657976 Batch=1199, step=19200, lr=0.120250, batch loss=0.009852, epoch loss=0.667828 Epoch=15, step=19200, lr=0.120250, epoch loss=0.667828 Batch=59, step=19260, lr=0.120000, batch loss=0.004584, epoch loss=0.004584 Batch=119, step=19320, lr=0.119750, batch loss=0.017577, epoch loss=0.022161 Batch=179, step=19380, lr=0.119500, batch loss=0.037842, epoch loss=0.060004 Batch=239, step=19440, lr=0.119250, batch loss=0.021920, epoch loss=0.081924 Batch=299, step=19500, lr=0.119000, batch loss=0.005240, epoch loss=0.087163 Batch=359, step=19560, lr=0.118750, batch loss=0.016499, epoch loss=0.103663 Batch=419, step=19620, lr=0.118500, batch loss=0.019376, epoch loss=0.123039 Batch=479, step=19680, lr=0.118250, batch loss=0.008176, epoch loss=0.131214 Batch=539, step=19740, lr=0.117750, batch loss=0.021174, epoch loss=0.152389 Batch=599, step=19800, lr=0.117500, batch loss=0.020593, epoch loss=0.172982 Batch=659, step=19860, lr=0.117500, batch loss=0.021096, epoch loss=0.194077 Batch=719, step=19920, lr=0.117250, batch loss=0.023294, epoch loss=0.217371 Batch=779, step=19980, lr=0.117000, batch loss=0.054275, epoch loss=0.271646 Batch=839, step=20040, lr=0.116750, batch loss=0.039058, epoch loss=0.310704 Batch=899, step=20100, lr=0.116500, batch loss=0.048790, epoch loss=0.359494 Batch=959, step=20160, lr=0.116250, batch loss=0.010929, epoch loss=0.370423 Batch=1019, step=20220, lr=0.116000, batch loss=0.014270, epoch loss=0.384692 Batch=1079, step=20280, lr=0.115750, batch loss=0.002930, epoch loss=0.387622 Batch=1139, step=20340, lr=0.115500, batch loss=0.014915, epoch loss=0.402537 Batch=1199, step=20400, lr=0.115250, batch loss=0.006898, epoch loss=0.409435 Epoch=16, step=20400, lr=0.115250, epoch loss=0.409435 Batch=59, step=20460, lr=0.115000, batch loss=0.003369, epoch loss=0.003369 Batch=119, step=20520, lr=0.114750, batch loss=0.009154, epoch loss=0.012523 Batch=179, step=20580, lr=0.114500, batch loss=0.020400, epoch loss=0.032922 Batch=239, step=20640, lr=0.114250, batch loss=0.020212, epoch loss=0.053134 Batch=299, step=20700, lr=0.114000, batch loss=0.011609, epoch loss=0.064744 Batch=359, step=20760, lr=0.113750, batch loss=0.015064, epoch loss=0.079807 Batch=419, step=20820, lr=0.113500, batch loss=0.014699, epoch loss=0.094507 Batch=479, step=20880, lr=0.113250, batch loss=0.003386, epoch loss=0.097892 Batch=539, step=20940, lr=0.113000, batch loss=0.023613, epoch loss=0.121506 Batch=599, step=21000, lr=0.112750, batch loss=0.023170, epoch loss=0.144676 Batch=659, step=21060, lr=0.112500, batch loss=0.012594, epoch loss=0.157270 Batch=719, step=21120, lr=0.112250, batch loss=0.030459, epoch loss=0.187729 Batch=779, step=21180, lr=0.112000, batch loss=0.051789, epoch loss=0.239518 Batch=839, step=21240, lr=0.111750, batch loss=0.025529, epoch loss=0.265047 Batch=899, step=21300, lr=0.111500, batch loss=0.023603, epoch loss=0.288650 Batch=959, step=21360, lr=0.111250, batch loss=0.018407, epoch loss=0.307057 Batch=1019, step=21420, lr=0.111000, batch loss=0.017110, epoch loss=0.324166 Batch=1079, step=21480, lr=0.110750, batch loss=0.000726, epoch loss=0.324892 Batch=1139, step=21540, lr=0.110500, batch loss=0.011418, epoch loss=0.336310 Batch=1199, step=21600, lr=0.110250, batch loss=0.005180, epoch loss=0.341490 Epoch=17, step=21600, lr=0.110250, epoch loss=0.341490 Batch=59, step=21660, lr=0.110000, batch loss=0.002587, epoch loss=0.002587 Batch=119, step=21720, lr=0.109750, batch loss=0.007139, epoch loss=0.009726 Batch=179, step=21780, lr=0.109500, batch loss=0.012068, epoch loss=0.021794 Batch=239, step=21840, lr=0.109250, batch loss=0.009643, epoch loss=0.031437 Batch=299, step=21900, lr=0.109000, batch loss=0.009623, epoch loss=0.041060 Batch=359, step=21960, lr=0.108750, batch loss=0.014143, epoch loss=0.055204 Batch=419, step=22020, lr=0.108500, batch loss=0.013006, epoch loss=0.068210 Batch=479, step=22080, lr=0.108250, batch loss=0.003269, epoch loss=0.071479 Batch=539, step=22140, lr=0.108000, batch loss=0.017434, epoch loss=0.088914 Batch=599, step=22200, lr=0.107750, batch loss=0.015878, epoch loss=0.104792 Batch=659, step=22260, lr=0.107500, batch loss=0.012231, epoch loss=0.117023 Batch=719, step=22320, lr=0.107250, batch loss=0.021412, epoch loss=0.138435 Batch=779, step=22380, lr=0.107000, batch loss=0.032715, epoch loss=0.171150 Batch=839, step=22440, lr=0.106750, batch loss=0.029256, epoch loss=0.200406 Batch=899, step=22500, lr=0.106500, batch loss=0.024135, epoch loss=0.224541 Batch=959, step=22560, lr=0.106250, batch loss=0.009078, epoch loss=0.233619 Batch=1019, step=22620, lr=0.106000, batch loss=0.007726, epoch loss=0.241346 Batch=1079, step=22680, lr=0.105750, batch loss=0.001599, epoch loss=0.242945 Batch=1139, step=22740, lr=0.105500, batch loss=0.010948, epoch loss=0.253893 Batch=1199, step=22800, lr=0.105250, batch loss=0.005127, epoch loss=0.259020 Epoch=18, step=22800, lr=0.105250, epoch loss=0.259020 Batch=59, step=22860, lr=0.105000, batch loss=0.002393, epoch loss=0.002393 Batch=119, step=22920, lr=0.104750, batch loss=0.004950, epoch loss=0.007343 Batch=179, step=22980, lr=0.104500, batch loss=0.012455, epoch loss=0.019799 Batch=239, step=23040, lr=0.104250, batch loss=0.008231, epoch loss=0.028030 Batch=299, step=23100, lr=0.104000, batch loss=0.008333, epoch loss=0.036362 Batch=359, step=23160, lr=0.103750, batch loss=0.012273, epoch loss=0.048636 Batch=419, step=23220, lr=0.103500, batch loss=0.011084, epoch loss=0.059720 Batch=479, step=23280, lr=0.103250, batch loss=0.003388, epoch loss=0.063108 Batch=539, step=23340, lr=0.103000, batch loss=0.016973, epoch loss=0.080080 Batch=599, step=23400, lr=0.102750, batch loss=0.013806, epoch loss=0.093886 Batch=659, step=23460, lr=0.102500, batch loss=0.011106, epoch loss=0.104992 Batch=719, step=23520, lr=0.102250, batch loss=0.014058, epoch loss=0.119051 Batch=779, step=23580, lr=0.102000, batch loss=0.022488, epoch loss=0.141539 Batch=839, step=23640, lr=0.101750, batch loss=0.026684, epoch loss=0.168222 Batch=899, step=23700, lr=0.101500, batch loss=0.021473, epoch loss=0.189695 Batch=959, step=23760, lr=0.101250, batch loss=0.007813, epoch loss=0.197508 Batch=1019, step=23820, lr=0.100750, batch loss=0.006570, epoch loss=0.204078 Batch=1079, step=23880, lr=0.100750, batch loss=0.002371, epoch loss=0.206449 Batch=1139, step=23940, lr=0.100500, batch loss=0.008122, epoch loss=0.214571 Batch=1199, step=24000, lr=0.100250, batch loss=0.004541, epoch loss=0.219111 Epoch=19, step=24000, lr=0.100250, epoch loss=0.219111 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#********************************.......│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................**................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:53.28 ---> saved as "58ec069a857ca83f4669434834971f05daa33ff8a4f99cec7e574a75e0beefec" Job succeeded 2025-03-20 22:53.28: Job succeeded