2025-03-20 22:29.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (1a4d0ebb2cb2be9bf8422ae739357d8626151cd1) (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 1a4d0ebb 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 22:29.24: 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 22:29.24: 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 22:29.24: Waiting for resource in pool OCluster 2025-03-20 22:29.24: Waiting for worker… 2025-03-20 22:32.55: Got resource from pool OCluster Building on phoebe.caelum.ci.dev HEAD is now at 4ee46a20 Update GitHub actions 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 (from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) 2025-03-20 22:32.56 ---> 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 22:32.56 ---> 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 22:32.56 ---> 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 22:32.56 ---> using "ad2ab2a4f4e9ea6d10f2f7d75a528b347a9df63d0147bccbe314000671024be6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:32.56 ---> 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 22:32.56 ---> using "b874972d3e4076a232741d0cfa563d8019de8c9040d9b0425ca0556b4c7df6ae" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:32.56 ---> saved as "cfe2efc7ff513e6f1ee8a4fc74f61f994c21ca17326602c6d3946665d18c5446" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 22:33.03 ---> saved as "06b7a5177e39ab000f43512190bc7e636a849fd46b5d0eb5812a06a0fac2b139" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:33.03 ---> saved as "bbff1aebbdda010a01bc321072f49b145b3323668388564f06414573ac9a821b" /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://security.ubuntu.com/ubuntu oracular-security InRelease [126 kB] - Hit:2 http://archive.ubuntu.com/ubuntu oracular InRelease - Get:3 http://archive.ubuntu.com/ubuntu oracular-updates InRelease [126 kB] - Get:4 http://archive.ubuntu.com/ubuntu oracular-backports InRelease [126 kB] - Get:5 http://security.ubuntu.com/ubuntu oracular-security/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 22:33.32 ---> saved as "32916ac598b2d645f14525063194e1c74830ccd124b3601cc3d99f3720053436" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved 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 22:35.55 ---> saved as "1e29b3f80230c2650edf6167986e21b36b2addd4e7b1e671f82c79f3cb59146c" /src: (copy (src .) (dst /src)) 2025-03-20 22:35.55 ---> saved as "06a05a1769420b992c94c6ded26f723b37a89b2935a1e589abac076cc631ca4b" /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/11deef50404f0724a91de088b9b2ec40/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/b02a4050560e99de5fbd98ab8771f447/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/11deef50404f0724a91de088b9b2ec40/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11deef50404f0724a91de088b9b2ec40/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/11deef50404f0724a91de088b9b2ec40/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11deef50404f0724a91de088b9b2ec40/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/11deef50404f0724a91de088b9b2ec40/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11deef50404f0724a91de088b9b2ec40/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/11deef50404f0724a91de088b9b2ec40/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11deef50404f0724a91de088b9b2ec40/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/11deef50404f0724a91de088b9b2ec40/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11deef50404f0724a91de088b9b2ec40/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/11deef50404f0724a91de088b9b2ec40/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11deef50404f0724a91de088b9b2ec40/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/11deef50404f0724a91de088b9b2ec40/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11deef50404f0724a91de088b9b2ec40/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/11deef50404f0724a91de088b9b2ec40/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11deef50404f0724a91de088b9b2ec40/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/11deef50404f0724a91de088b9b2ec40/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/11deef50404f0724a91de088b9b2ec40/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/11deef50404f0724a91de088b9b2ec40/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196500, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382737, epoch loss=43.790422 Batch=959, step=960, lr=0.196250, batch loss=0.245113, epoch loss=44.035535 Batch=1019, step=1020, lr=0.196000, batch loss=0.466580, epoch loss=44.502115 Batch=1079, step=1080, lr=0.195750, batch loss=0.248741, epoch loss=44.750857 Batch=1139, step=1140, lr=0.195250, batch loss=0.317493, epoch loss=45.068349 Batch=1199, step=1200, lr=0.195250, batch loss=0.263645, epoch loss=45.331995 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331995 Batch=59, step=1260, lr=0.195000, batch loss=0.262106, epoch loss=0.262106 Batch=119, step=1320, lr=0.194750, batch loss=0.205318, epoch loss=0.467424 Batch=179, step=1380, lr=0.194500, batch loss=0.243659, epoch loss=0.711083 Batch=239, step=1440, lr=0.194000, batch loss=0.347839, epoch loss=1.058922 Batch=299, step=1500, lr=0.193750, batch loss=0.247453, epoch loss=1.306375 Batch=359, step=1560, lr=0.193750, batch loss=0.316480, epoch loss=1.622855 Batch=419, step=1620, lr=0.193500, batch loss=0.308780, epoch loss=1.931635 Batch=479, step=1680, lr=0.193250, batch loss=0.275119, epoch loss=2.206754 Batch=539, step=1740, lr=0.192750, batch loss=0.210778, epoch loss=2.417532 Batch=599, step=1800, lr=0.192750, batch loss=0.262004, epoch loss=2.679536 Batch=659, step=1860, lr=0.192500, batch loss=0.375610, epoch loss=3.055146 Batch=719, step=1920, lr=0.192250, batch loss=0.358049, epoch loss=3.413195 Batch=779, step=1980, lr=0.192000, batch loss=0.386878, epoch loss=3.800073 Batch=839, step=2040, lr=0.191750, batch loss=0.346500, epoch loss=4.146573 Batch=899, step=2100, lr=0.191500, batch loss=0.322771, epoch loss=4.469344 Batch=959, step=2160, lr=0.191250, batch loss=0.255576, epoch loss=4.724920 Batch=1019, step=2220, lr=0.191000, batch loss=0.389321, epoch loss=5.114241 Batch=1079, step=2280, lr=0.190750, batch loss=0.218897, epoch loss=5.333139 Batch=1139, step=2340, lr=0.190500, batch loss=0.263098, epoch loss=5.596236 Batch=1199, step=2400, lr=0.190250, batch loss=0.212393, epoch loss=5.808629 Epoch=1, step=2400, lr=0.190250, epoch loss=5.808629 Batch=59, step=2460, lr=0.190000, batch loss=0.229897, epoch loss=0.229897 Batch=119, step=2520, lr=0.189750, batch loss=0.192379, epoch loss=0.422276 Batch=179, step=2580, lr=0.189500, batch loss=0.220904, epoch loss=0.643180 Batch=239, step=2640, lr=0.189250, batch loss=0.329111, epoch loss=0.972290 Batch=299, step=2700, lr=0.189000, batch loss=0.205539, epoch loss=1.177829 Batch=359, step=2760, lr=0.188750, batch loss=0.291223, epoch loss=1.469052 Batch=419, step=2820, lr=0.188500, batch loss=0.283114, epoch loss=1.752166 Batch=479, step=2880, lr=0.188250, batch loss=0.261692, epoch loss=2.013858 Batch=539, step=2940, lr=0.188000, batch loss=0.195380, epoch loss=2.209237 Batch=599, step=3000, lr=0.187750, batch loss=0.233768, epoch loss=2.443005 Batch=659, step=3060, lr=0.187500, batch loss=0.340388, epoch loss=2.783393 Batch=719, step=3120, lr=0.187250, batch loss=0.334466, epoch loss=3.117859 Batch=779, step=3180, lr=0.187000, batch loss=0.355569, epoch loss=3.473428 Batch=839, step=3240, lr=0.186750, batch loss=0.332279, epoch loss=3.805708 Batch=899, step=3300, lr=0.186500, batch loss=0.297699, epoch loss=4.103407 Batch=959, step=3360, lr=0.186250, batch loss=0.237208, epoch loss=4.340615 Batch=1019, step=3420, lr=0.186000, batch loss=0.351173, epoch loss=4.691787 Batch=1079, step=3480, lr=0.185750, batch loss=0.215199, epoch loss=4.906986 Batch=1139, step=3540, lr=0.185500, batch loss=0.262045, epoch loss=5.169032 Batch=1199, step=3600, lr=0.185250, batch loss=0.199373, epoch loss=5.368405 Epoch=2, step=3600, lr=0.185250, epoch loss=5.368405 Batch=59, step=3660, lr=0.185000, batch loss=0.222124, epoch loss=0.222124 Batch=119, step=3720, lr=0.184750, batch loss=0.184911, epoch loss=0.407035 Batch=179, step=3780, lr=0.184500, batch loss=0.213220, epoch loss=0.620255 Batch=239, step=3840, lr=0.184250, batch loss=0.316295, epoch loss=0.936550 Batch=299, step=3900, lr=0.184000, batch loss=0.204497, epoch loss=1.141047 Batch=359, step=3960, lr=0.183750, batch loss=0.287396, epoch loss=1.428443 Batch=419, step=4020, lr=0.183500, batch loss=0.274325, epoch loss=1.702768 Batch=479, step=4080, lr=0.183250, batch loss=0.252815, epoch loss=1.955583 Batch=539, step=4140, lr=0.183000, batch loss=0.189844, epoch loss=2.145426 Batch=599, step=4200, lr=0.182750, batch loss=0.229558, epoch loss=2.374984 Batch=659, step=4260, lr=0.182500, batch loss=0.328897, epoch loss=2.703881 Batch=719, step=4320, lr=0.182250, batch loss=0.327313, epoch loss=3.031194 Batch=779, step=4380, lr=0.182000, batch loss=0.351682, epoch loss=3.382876 Batch=839, step=4440, lr=0.181750, batch loss=0.317533, epoch loss=3.700408 Batch=899, step=4500, lr=0.181500, batch loss=0.284534, epoch loss=3.984943 Batch=959, step=4560, lr=0.181250, batch loss=0.226734, epoch loss=4.211677 Batch=1019, step=4620, lr=0.181000, batch loss=0.330317, epoch loss=4.541994 Batch=1079, step=4680, lr=0.180750, batch loss=0.193203, epoch loss=4.735197 Batch=1139, step=4740, lr=0.180500, batch loss=0.234201, epoch loss=4.969398 Batch=1199, step=4800, lr=0.180250, batch loss=0.191268, epoch loss=5.160666 Epoch=3, step=4800, lr=0.180250, epoch loss=5.160666 Batch=59, step=4860, lr=0.180000, batch loss=0.227006, epoch loss=0.227006 Batch=119, step=4920, lr=0.179750, batch loss=0.190414, epoch loss=0.417420 Batch=179, step=4980, lr=0.179500, batch loss=0.206373, epoch loss=0.623793 Batch=239, step=5040, lr=0.179250, batch loss=0.308020, epoch loss=0.931812 Batch=299, step=5100, lr=0.179000, batch loss=0.207693, epoch loss=1.139505 Batch=359, step=5160, lr=0.178750, batch loss=0.273919, epoch loss=1.413424 Batch=419, step=5220, lr=0.178500, batch loss=0.264613, epoch loss=1.678037 Batch=479, step=5280, lr=0.178250, batch loss=0.241816, epoch loss=1.919853 Batch=539, step=5340, lr=0.178000, batch loss=0.189991, epoch loss=2.109844 Batch=599, step=5400, lr=0.177750, batch loss=0.231857, epoch loss=2.341701 Batch=659, step=5460, lr=0.177500, batch loss=0.323660, epoch loss=2.665361 Batch=719, step=5520, lr=0.177250, batch loss=0.333306, epoch loss=2.998667 Batch=779, step=5580, lr=0.177000, batch loss=0.340818, epoch loss=3.339485 Batch=839, step=5640, lr=0.176750, batch loss=0.310285, epoch loss=3.649770 Batch=899, step=5700, lr=0.176500, batch loss=0.271872, epoch loss=3.921642 Batch=959, step=5760, lr=0.176250, batch loss=0.216948, epoch loss=4.138590 Batch=1019, step=5820, lr=0.176000, batch loss=0.329832, epoch loss=4.468422 Batch=1079, step=5880, lr=0.175750, batch loss=0.184933, epoch loss=4.653355 Batch=1139, step=5940, lr=0.175500, batch loss=0.218930, epoch loss=4.872286 Batch=1199, step=6000, lr=0.175250, batch loss=0.192518, epoch loss=5.064804 Epoch=4, step=6000, lr=0.175250, epoch loss=5.064804 Batch=59, step=6060, lr=0.175000, batch loss=0.232709, epoch loss=0.232709 Batch=119, step=6120, lr=0.174750, batch loss=0.193275, epoch loss=0.425984 Batch=179, step=6180, lr=0.174500, batch loss=0.200002, epoch loss=0.625986 Batch=239, step=6240, lr=0.174250, batch loss=0.302128, epoch loss=0.928114 Batch=299, step=6300, lr=0.174000, batch loss=0.209119, epoch loss=1.137233 Batch=359, step=6360, lr=0.173750, batch loss=0.272608, epoch loss=1.409841 Batch=419, step=6420, lr=0.173500, batch loss=0.267196, epoch loss=1.677037 Batch=479, step=6480, lr=0.173250, batch loss=0.242535, epoch loss=1.919572 Batch=539, step=6540, lr=0.173000, batch loss=0.196152, epoch loss=2.115724 Batch=599, step=6600, lr=0.172750, batch loss=0.233109, epoch loss=2.348833 Batch=659, step=6660, lr=0.172500, batch loss=0.312801, epoch loss=2.661634 Batch=719, step=6720, lr=0.172250, batch loss=0.317906, epoch loss=2.979540 Batch=779, step=6780, lr=0.172000, batch loss=0.330242, epoch loss=3.309782 Batch=839, step=6840, lr=0.171750, batch loss=0.305645, epoch loss=3.615427 Batch=899, step=6900, lr=0.171500, batch loss=0.264783, epoch loss=3.880210 Batch=959, step=6960, lr=0.171250, batch loss=0.218704, epoch loss=4.098913 Batch=1019, step=7020, lr=0.171000, batch loss=0.321752, epoch loss=4.420666 Batch=1079, step=7080, lr=0.170750, batch loss=0.178338, epoch loss=4.599004 Batch=1139, step=7140, lr=0.170500, batch loss=0.214965, epoch loss=4.813969 Batch=1199, step=7200, lr=0.170250, batch loss=0.180515, epoch loss=4.994483 Epoch=5, step=7200, lr=0.170250, epoch loss=4.994483 Batch=59, step=7260, lr=0.170000, batch loss=0.215283, epoch loss=0.215283 Batch=119, step=7320, lr=0.169750, batch loss=0.181739, epoch loss=0.397022 Batch=179, step=7380, lr=0.169500, batch loss=0.194670, epoch loss=0.591692 Batch=239, step=7440, lr=0.169250, batch loss=0.291283, epoch loss=0.882974 Batch=299, step=7500, lr=0.169000, batch loss=0.206956, epoch loss=1.089931 Batch=359, step=7560, lr=0.168750, batch loss=0.262245, epoch loss=1.352175 Batch=419, step=7620, lr=0.168500, batch loss=0.254301, epoch loss=1.606476 Batch=479, step=7680, lr=0.168250, batch loss=0.233147, epoch loss=1.839623 Batch=539, step=7740, lr=0.168000, batch loss=0.193271, epoch loss=2.032894 Batch=599, step=7800, lr=0.167750, batch loss=0.227015, epoch loss=2.259909 Batch=659, step=7860, lr=0.167500, batch loss=0.304657, epoch loss=2.564565 Batch=719, step=7920, lr=0.167250, batch loss=0.308044, epoch loss=2.872609 Batch=779, step=7980, lr=0.167000, batch loss=0.320355, epoch loss=3.192964 Batch=839, step=8040, lr=0.166750, batch loss=0.297086, epoch loss=3.490050 Batch=899, step=8100, lr=0.166500, batch loss=0.258280, epoch loss=3.748330 Batch=959, step=8160, lr=0.166250, batch loss=0.209589, epoch loss=3.957919 Batch=1019, step=8220, lr=0.166000, batch loss=0.318132, epoch loss=4.276052 Batch=1079, step=8280, lr=0.165750, batch loss=0.171668, epoch loss=4.447720 Batch=1139, step=8340, lr=0.165500, batch loss=0.206588, epoch loss=4.654308 Batch=1199, step=8400, lr=0.165250, batch loss=0.178564, epoch loss=4.832872 Epoch=6, step=8400, lr=0.165250, epoch loss=4.832872 Batch=59, step=8460, lr=0.165000, batch loss=0.229295, epoch loss=0.229295 Batch=119, step=8520, lr=0.164750, batch loss=0.174618, epoch loss=0.403913 Batch=179, step=8580, lr=0.164500, batch loss=0.187206, epoch loss=0.591119 Batch=239, step=8640, lr=0.164250, batch loss=0.277550, epoch loss=0.868669 Batch=299, step=8700, lr=0.164000, batch loss=0.200584, epoch loss=1.069253 Batch=359, step=8760, lr=0.163750, batch loss=0.251827, epoch loss=1.321080 Batch=419, step=8820, lr=0.163500, batch loss=0.241948, epoch loss=1.563028 Batch=479, step=8880, lr=0.163250, batch loss=0.222446, epoch loss=1.785474 Batch=539, step=8940, lr=0.163000, batch loss=0.182163, epoch loss=1.967638 Batch=599, step=9000, lr=0.162750, batch loss=0.212764, epoch loss=2.180402 Batch=659, step=9060, lr=0.162500, batch loss=0.295592, epoch loss=2.475994 Batch=719, step=9120, lr=0.162250, batch loss=0.294857, epoch loss=2.770851 Batch=779, step=9180, lr=0.162000, batch loss=0.317310, epoch loss=3.088160 Batch=839, step=9240, lr=0.161750, batch loss=0.286530, epoch loss=3.374690 Batch=899, step=9300, lr=0.161500, batch loss=0.251939, epoch loss=3.626630 Batch=959, step=9360, lr=0.161250, batch loss=0.189718, epoch loss=3.816347 Batch=1019, step=9420, lr=0.161000, batch loss=0.318533, epoch loss=4.134880 Batch=1079, step=9480, lr=0.160750, batch loss=0.184274, epoch loss=4.319154 Batch=1139, step=9540, lr=0.160500, batch loss=0.212780, epoch loss=4.531934 Batch=1199, step=9600, lr=0.160250, batch loss=0.167315, epoch loss=4.699248 Epoch=7, step=9600, lr=0.160250, epoch loss=4.699248 Batch=59, step=9660, lr=0.160000, batch loss=0.210946, epoch loss=0.210946 Batch=119, step=9720, lr=0.159750, batch loss=0.169828, epoch loss=0.380773 Batch=179, step=9780, lr=0.159500, batch loss=0.180508, epoch loss=0.561281 Batch=239, step=9840, lr=0.159250, batch loss=0.263166, epoch loss=0.824447 Batch=299, step=9900, lr=0.159000, batch loss=0.184555, epoch loss=1.009002 Batch=359, step=9960, lr=0.158750, batch loss=0.239466, epoch loss=1.248468 Batch=419, step=10020, lr=0.158500, batch loss=0.233234, epoch loss=1.481702 Batch=479, step=10080, lr=0.158250, batch loss=0.220283, epoch loss=1.701985 Batch=539, step=10140, lr=0.158000, batch loss=0.170042, epoch loss=1.872027 Batch=599, step=10200, lr=0.157750, batch loss=0.203139, epoch loss=2.075166 Batch=659, step=10260, lr=0.157500, batch loss=0.280457, epoch loss=2.355622 Batch=719, step=10320, lr=0.157250, batch loss=0.280164, epoch loss=2.635786 Batch=779, step=10380, lr=0.157000, batch loss=0.297330, epoch loss=2.933116 Batch=839, step=10440, lr=0.156750, batch loss=0.272561, epoch loss=3.205677 Batch=899, step=10500, lr=0.156500, batch loss=0.237753, epoch loss=3.443430 Batch=959, step=10560, lr=0.156000, batch loss=0.201052, epoch loss=3.644482 Batch=1019, step=10620, lr=0.156000, batch loss=0.277939, epoch loss=3.922421 Batch=1079, step=10680, lr=0.155750, batch loss=0.151864, epoch loss=4.074285 Batch=1139, step=10740, lr=0.155500, batch loss=0.183928, epoch loss=4.258214 Batch=1199, step=10800, lr=0.155250, batch loss=0.154965, epoch loss=4.413178 Epoch=8, step=10800, lr=0.155250, epoch loss=4.413178 Batch=59, step=10860, lr=0.155000, batch loss=0.182460, epoch loss=0.182460 Batch=119, step=10920, lr=0.154750, batch loss=0.156681, epoch loss=0.339141 Batch=179, step=10980, lr=0.154500, batch loss=0.166340, epoch loss=0.505482 Batch=239, step=11040, lr=0.154250, batch loss=0.246031, epoch loss=0.751512 Batch=299, step=11100, lr=0.154000, batch loss=0.162265, epoch loss=0.913777 Batch=359, step=11160, lr=0.153750, batch loss=0.218315, epoch loss=1.132092 Batch=419, step=11220, lr=0.153500, batch loss=0.215922, epoch loss=1.348013 Batch=479, step=11280, lr=0.153250, batch loss=0.215622, epoch loss=1.563635 Batch=539, step=11340, lr=0.153000, batch loss=0.167293, epoch loss=1.730929 Batch=599, step=11400, lr=0.152750, batch loss=0.177127, epoch loss=1.908055 Batch=659, step=11460, lr=0.152500, batch loss=0.265886, epoch loss=2.173942 Batch=719, step=11520, lr=0.152250, batch loss=0.264914, epoch loss=2.438856 Batch=779, step=11580, lr=0.152000, batch loss=0.273882, epoch loss=2.712737 Batch=839, step=11640, lr=0.151750, batch loss=0.251162, epoch loss=2.963899 Batch=899, step=11700, lr=0.151500, batch loss=0.220271, epoch loss=3.184171 Batch=959, step=11760, lr=0.151250, batch loss=0.188069, epoch loss=3.372240 Batch=1019, step=11820, lr=0.151000, batch loss=0.292046, epoch loss=3.664286 Batch=1079, step=11880, lr=0.150750, batch loss=0.146369, epoch loss=3.810656 Batch=1139, step=11940, lr=0.150500, batch loss=0.180984, epoch loss=3.991639 Batch=1199, step=12000, lr=0.150250, batch loss=0.140490, epoch loss=4.132130 Epoch=9, step=12000, lr=0.150250, epoch loss=4.132130 Batch=59, step=12060, lr=0.150000, batch loss=0.161452, epoch loss=0.161452 Batch=119, step=12120, lr=0.149750, batch loss=0.137519, epoch loss=0.298971 Batch=179, step=12180, lr=0.149500, batch loss=0.151671, epoch loss=0.450642 Batch=239, step=12240, lr=0.149250, batch loss=0.219424, epoch loss=0.670066 Batch=299, step=12300, lr=0.149000, batch loss=0.144147, epoch loss=0.814214 Batch=359, step=12360, lr=0.148750, batch loss=0.196662, epoch loss=1.010876 Batch=419, step=12420, lr=0.148500, batch loss=0.193210, epoch loss=1.204086 Batch=479, step=12480, lr=0.148250, batch loss=0.181667, epoch loss=1.385752 Batch=539, step=12540, lr=0.148000, batch loss=0.142150, epoch loss=1.527902 Batch=599, step=12600, lr=0.147750, batch loss=0.151145, epoch loss=1.679047 Batch=659, step=12660, lr=0.147500, batch loss=0.225315, epoch loss=1.904362 Batch=719, step=12720, lr=0.147250, batch loss=0.238382, epoch loss=2.142744 Batch=779, step=12780, lr=0.147000, batch loss=0.262445, epoch loss=2.405189 Batch=839, step=12840, lr=0.146750, batch loss=0.237668, epoch loss=2.642857 Batch=899, step=12900, lr=0.146500, batch loss=0.220696, epoch loss=2.863554 Batch=959, step=12960, lr=0.146250, batch loss=0.146827, epoch loss=3.010381 Batch=1019, step=13020, lr=0.146000, batch loss=0.244040, epoch loss=3.254421 Batch=1079, step=13080, lr=0.145750, batch loss=0.110408, epoch loss=3.364829 Batch=1139, step=13140, lr=0.145500, batch loss=0.144637, epoch loss=3.509466 Batch=1199, step=13200, lr=0.145250, batch loss=0.122294, epoch loss=3.631760 Epoch=10, step=13200, lr=0.145250, epoch loss=3.631760 Batch=59, step=13260, lr=0.145000, batch loss=0.148123, epoch loss=0.148123 Batch=119, step=13320, lr=0.144750, batch loss=0.132289, epoch loss=0.280412 Batch=179, step=13380, lr=0.144500, batch loss=0.131440, epoch loss=0.411852 Batch=239, step=13440, lr=0.144250, batch loss=0.188422, epoch loss=0.600274 Batch=299, step=13500, lr=0.144000, batch loss=0.117392, epoch loss=0.717666 Batch=359, step=13560, lr=0.143750, batch loss=0.165513, epoch loss=0.883179 Batch=419, step=13620, lr=0.143500, batch loss=0.167676, epoch loss=1.050855 Batch=479, step=13680, lr=0.143250, batch loss=0.149558, epoch loss=1.200413 Batch=539, step=13740, lr=0.143000, batch loss=0.118976, epoch loss=1.319390 Batch=599, step=13800, lr=0.142750, batch loss=0.121430, epoch loss=1.440820 Batch=659, step=13860, lr=0.142500, batch loss=0.177563, epoch loss=1.618383 Batch=719, step=13920, lr=0.142250, batch loss=0.178229, epoch loss=1.796612 Batch=779, step=13980, lr=0.142000, batch loss=0.199944, epoch loss=1.996556 Batch=839, step=14040, lr=0.141750, batch loss=0.186890, epoch loss=2.183445 Batch=899, step=14100, lr=0.141500, batch loss=0.160070, epoch loss=2.343515 Batch=959, step=14160, lr=0.141250, batch loss=0.130596, epoch loss=2.474111 Batch=1019, step=14220, lr=0.141000, batch loss=0.267684, epoch loss=2.741795 Batch=1079, step=14280, lr=0.140750, batch loss=0.086672, epoch loss=2.828468 Batch=1139, step=14340, lr=0.140500, batch loss=0.132990, epoch loss=2.961457 Batch=1199, step=14400, lr=0.140250, batch loss=0.091212, epoch loss=3.052670 Epoch=11, step=14400, lr=0.140250, epoch loss=3.052670 Batch=59, step=14460, lr=0.140000, batch loss=0.112143, epoch loss=0.112143 Batch=119, step=14520, lr=0.139750, batch loss=0.102927, epoch loss=0.215070 Batch=179, step=14580, lr=0.139500, batch loss=0.102616, epoch loss=0.317686 Batch=239, step=14640, lr=0.139250, batch loss=0.145180, epoch loss=0.462866 Batch=299, step=14700, lr=0.139000, batch loss=0.076164, epoch loss=0.539029 Batch=359, step=14760, lr=0.138750, batch loss=0.123215, epoch loss=0.662244 Batch=419, step=14820, lr=0.138500, batch loss=0.131067, epoch loss=0.793311 Batch=479, step=14880, lr=0.138250, batch loss=0.103793, epoch loss=0.897105 Batch=539, step=14940, lr=0.138000, batch loss=0.107764, epoch loss=1.004869 Batch=599, step=15000, lr=0.137750, batch loss=0.086858, epoch loss=1.091727 Batch=659, step=15060, lr=0.137500, batch loss=0.129687, epoch loss=1.221414 Batch=719, step=15120, lr=0.137250, batch loss=0.119977, epoch loss=1.341391 Batch=779, step=15180, lr=0.137000, batch loss=0.127289, epoch loss=1.468679 Batch=839, step=15240, lr=0.136750, batch loss=0.153926, epoch loss=1.622605 Batch=899, step=15300, lr=0.136500, batch loss=0.231066, epoch loss=1.853671 Batch=959, step=15360, lr=0.136250, batch loss=0.054481, epoch loss=1.908152 Batch=1019, step=15420, lr=0.136000, batch loss=0.137877, epoch loss=2.046029 Batch=1079, step=15480, lr=0.135750, batch loss=0.054178, epoch loss=2.100206 Batch=1139, step=15540, lr=0.135500, batch loss=0.113982, epoch loss=2.214188 Batch=1199, step=15600, lr=0.135250, batch loss=0.058170, epoch loss=2.272358 Epoch=12, step=15600, lr=0.135250, epoch loss=2.272358 Batch=59, step=15660, lr=0.135000, batch loss=0.080978, epoch loss=0.080978 Batch=119, step=15720, lr=0.134750, batch loss=0.131914, epoch loss=0.212893 Batch=179, step=15780, lr=0.134500, batch loss=0.095764, epoch loss=0.308657 Batch=239, step=15840, lr=0.134250, batch loss=0.095919, epoch loss=0.404576 Batch=299, step=15900, lr=0.134000, batch loss=0.039714, epoch loss=0.444290 Batch=359, step=15960, lr=0.133750, batch loss=0.082194, epoch loss=0.526485 Batch=419, step=16020, lr=0.133500, batch loss=0.080519, epoch loss=0.607004 Batch=479, step=16080, lr=0.133250, batch loss=0.070220, epoch loss=0.677224 Batch=539, step=16140, lr=0.133000, batch loss=0.053037, epoch loss=0.730261 Batch=599, step=16200, lr=0.132750, batch loss=0.101415, epoch loss=0.831676 Batch=659, step=16260, lr=0.132500, batch loss=0.078961, epoch loss=0.910637 Batch=719, step=16320, lr=0.132250, batch loss=0.074084, epoch loss=0.984721 Batch=779, step=16380, lr=0.132000, batch loss=0.095803, epoch loss=1.080524 Batch=839, step=16440, lr=0.131750, batch loss=0.117113, epoch loss=1.197638 Batch=899, step=16500, lr=0.131500, batch loss=0.167227, epoch loss=1.364865 Batch=959, step=16560, lr=0.131250, batch loss=0.042607, epoch loss=1.407472 Batch=1019, step=16620, lr=0.131000, batch loss=0.105245, epoch loss=1.512716 Batch=1079, step=16680, lr=0.130750, batch loss=0.027887, epoch loss=1.540604 Batch=1139, step=16740, lr=0.130500, batch loss=0.055220, epoch loss=1.595823 Batch=1199, step=16800, lr=0.130250, batch loss=0.029204, epoch loss=1.625027 Epoch=13, step=16800, lr=0.130250, epoch loss=1.625027 Batch=59, step=16860, lr=0.130000, batch loss=0.039250, epoch loss=0.039250 Batch=119, step=16920, lr=0.129750, batch loss=0.066659, epoch loss=0.105909 Batch=179, step=16980, lr=0.129500, batch loss=0.053448, epoch loss=0.159356 Batch=239, step=17040, lr=0.129250, batch loss=0.064084, epoch loss=0.223440 Batch=299, step=17100, lr=0.129000, batch loss=0.029422, epoch loss=0.252862 Batch=359, step=17160, lr=0.128750, batch loss=0.046976, epoch loss=0.299838 Batch=419, step=17220, lr=0.128500, batch loss=0.046816, epoch loss=0.346654 Batch=479, step=17280, lr=0.128250, batch loss=0.031175, epoch loss=0.377830 Batch=539, step=17340, lr=0.128000, batch loss=0.055172, epoch loss=0.433002 Batch=599, step=17400, lr=0.127750, batch loss=0.035063, epoch loss=0.468065 Batch=659, step=17460, lr=0.127500, batch loss=0.047399, epoch loss=0.515464 Batch=719, step=17520, lr=0.127250, batch loss=0.062855, epoch loss=0.578319 Batch=779, step=17580, lr=0.127000, batch loss=0.129177, epoch loss=0.707496 Batch=839, step=17640, lr=0.126750, batch loss=0.111547, epoch loss=0.819043 Batch=899, step=17700, lr=0.126500, batch loss=0.148578, epoch loss=0.967621 Batch=959, step=17760, lr=0.126250, batch loss=0.020022, epoch loss=0.987643 Batch=1019, step=17820, lr=0.126000, batch loss=0.041602, epoch loss=1.029245 Batch=1079, step=17880, lr=0.125750, batch loss=0.012816, epoch loss=1.042061 Batch=1139, step=17940, lr=0.125500, batch loss=0.037311, epoch loss=1.079372 Batch=1199, step=18000, lr=0.125250, batch loss=0.015965, epoch loss=1.095337 Epoch=14, step=18000, lr=0.125250, epoch loss=1.095337 Batch=59, step=18060, lr=0.125000, batch loss=0.015100, epoch loss=0.015100 Batch=119, step=18120, lr=0.124750, batch loss=0.028084, epoch loss=0.043183 Batch=179, step=18180, lr=0.124500, batch loss=0.075976, epoch loss=0.119159 Batch=239, step=18240, lr=0.124250, batch loss=0.040260, epoch loss=0.159419 Batch=299, step=18300, lr=0.124000, batch loss=0.013589, epoch loss=0.173008 Batch=359, step=18360, lr=0.123750, batch loss=0.036691, epoch loss=0.209698 Batch=419, step=18420, lr=0.123500, batch loss=0.029900, epoch loss=0.239599 Batch=479, step=18480, lr=0.123250, batch loss=0.014288, epoch loss=0.253886 Batch=539, step=18540, lr=0.123000, batch loss=0.020873, epoch loss=0.274759 Batch=599, step=18600, lr=0.122750, batch loss=0.025328, epoch loss=0.300087 Batch=659, step=18660, lr=0.122500, batch loss=0.032087, epoch loss=0.332174 Batch=719, step=18720, lr=0.122250, batch loss=0.049334, epoch loss=0.381507 Batch=779, step=18780, lr=0.122000, batch loss=0.112207, epoch loss=0.493714 Batch=839, step=18840, lr=0.121750, batch loss=0.057282, epoch loss=0.550996 Batch=899, step=18900, lr=0.121500, batch loss=0.057048, epoch loss=0.608044 Batch=959, step=18960, lr=0.121250, batch loss=0.014342, epoch loss=0.622386 Batch=1019, step=19020, lr=0.121000, batch loss=0.025132, epoch loss=0.647517 Batch=1079, step=19080, lr=0.120750, batch loss=0.007368, epoch loss=0.654885 Batch=1139, step=19140, lr=0.120500, batch loss=0.025013, epoch loss=0.679898 Batch=1199, step=19200, lr=0.120250, batch loss=0.010942, epoch loss=0.690840 Epoch=15, step=19200, lr=0.120250, epoch loss=0.690840 Batch=59, step=19260, lr=0.120000, batch loss=0.005426, epoch loss=0.005426 Batch=119, step=19320, lr=0.119750, batch loss=0.014905, epoch loss=0.020331 Batch=179, step=19380, lr=0.119500, batch loss=0.033610, epoch loss=0.053941 Batch=239, step=19440, lr=0.119250, batch loss=0.022010, epoch loss=0.075951 Batch=299, step=19500, lr=0.119000, batch loss=0.005103, epoch loss=0.081054 Batch=359, step=19560, lr=0.118750, batch loss=0.018865, epoch loss=0.099919 Batch=419, step=19620, lr=0.118500, batch loss=0.020455, epoch loss=0.120374 Batch=479, step=19680, lr=0.118250, batch loss=0.007270, epoch loss=0.127644 Batch=539, step=19740, lr=0.118000, batch loss=0.028393, epoch loss=0.156037 Batch=599, step=19800, lr=0.117750, batch loss=0.025847, epoch loss=0.181884 Batch=659, step=19860, lr=0.117500, batch loss=0.017367, epoch loss=0.199252 Batch=719, step=19920, lr=0.117250, batch loss=0.053161, epoch loss=0.252413 Batch=779, step=19980, lr=0.117000, batch loss=0.074751, epoch loss=0.327164 Batch=839, step=20040, lr=0.116750, batch loss=0.032269, epoch loss=0.359433 Batch=899, step=20100, lr=0.116500, batch loss=0.029360, epoch loss=0.388793 Batch=959, step=20160, lr=0.116250, batch loss=0.013825, epoch loss=0.402618 Batch=1019, step=20220, lr=0.116000, batch loss=0.023247, epoch loss=0.425864 Batch=1079, step=20280, lr=0.115750, batch loss=0.003567, epoch loss=0.429432 Batch=1139, step=20340, lr=0.115500, batch loss=0.015032, epoch loss=0.444463 Batch=1199, step=20400, lr=0.115250, batch loss=0.005580, epoch loss=0.450043 Epoch=16, step=20400, lr=0.115250, epoch loss=0.450043 Batch=59, step=20460, lr=0.115000, batch loss=0.003328, epoch loss=0.003328 Batch=119, step=20520, lr=0.114750, batch loss=0.009410, epoch loss=0.012738 Batch=179, step=20580, lr=0.114500, batch loss=0.023823, epoch loss=0.036561 Batch=239, step=20640, lr=0.114250, batch loss=0.014736, epoch loss=0.051298 Batch=299, step=20700, lr=0.114000, batch loss=0.005556, epoch loss=0.056854 Batch=359, step=20760, lr=0.113750, batch loss=0.013373, epoch loss=0.070227 Batch=419, step=20820, lr=0.113500, batch loss=0.014087, epoch loss=0.084314 Batch=479, step=20880, lr=0.113250, batch loss=0.004691, epoch loss=0.089005 Batch=539, step=20940, lr=0.113000, batch loss=0.015860, epoch loss=0.104866 Batch=599, step=21000, lr=0.112750, batch loss=0.018489, epoch loss=0.123355 Batch=659, step=21060, lr=0.112500, batch loss=0.014804, epoch loss=0.138159 Batch=719, step=21120, lr=0.112250, batch loss=0.039017, epoch loss=0.177176 Batch=779, step=21180, lr=0.112000, batch loss=0.067395, epoch loss=0.244571 Batch=839, step=21240, lr=0.111750, batch loss=0.025220, epoch loss=0.269790 Batch=899, step=21300, lr=0.111500, batch loss=0.028722, epoch loss=0.298512 Batch=959, step=21360, lr=0.111250, batch loss=0.010180, epoch loss=0.308693 Batch=1019, step=21420, lr=0.111000, batch loss=0.010430, epoch loss=0.319123 Batch=1079, step=21480, lr=0.110750, batch loss=0.001791, epoch loss=0.320914 Batch=1139, step=21540, lr=0.110500, batch loss=0.012554, epoch loss=0.333468 Batch=1199, step=21600, lr=0.110250, batch loss=0.005023, epoch loss=0.338491 Epoch=17, step=21600, lr=0.110250, epoch loss=0.338491 Batch=59, step=21660, lr=0.110000, batch loss=0.002499, epoch loss=0.002499 Batch=119, step=21720, lr=0.109750, batch loss=0.006519, epoch loss=0.009018 Batch=179, step=21780, lr=0.109500, batch loss=0.012924, epoch loss=0.021942 Batch=239, step=21840, lr=0.109250, batch loss=0.009873, epoch loss=0.031815 Batch=299, step=21900, lr=0.109000, batch loss=0.001590, epoch loss=0.033405 Batch=359, step=21960, lr=0.108750, batch loss=0.010822, epoch loss=0.044227 Batch=419, step=22020, lr=0.108500, batch loss=0.011527, epoch loss=0.055755 Batch=479, step=22080, lr=0.108250, batch loss=0.003352, epoch loss=0.059107 Batch=539, step=22140, lr=0.108000, batch loss=0.016223, epoch loss=0.075330 Batch=599, step=22200, lr=0.107750, batch loss=0.015081, epoch loss=0.090411 Batch=659, step=22260, lr=0.107500, batch loss=0.013022, epoch loss=0.103433 Batch=719, step=22320, lr=0.107250, batch loss=0.025201, epoch loss=0.128634 Batch=779, step=22380, lr=0.107000, batch loss=0.040030, epoch loss=0.168663 Batch=839, step=22440, lr=0.106750, batch loss=0.021944, epoch loss=0.190607 Batch=899, step=22500, lr=0.106500, batch loss=0.020807, epoch loss=0.211414 Batch=959, step=22560, lr=0.106250, batch loss=0.010120, epoch loss=0.221534 Batch=1019, step=22620, lr=0.106000, batch loss=0.010265, epoch loss=0.231800 Batch=1079, step=22680, lr=0.105750, batch loss=0.000658, epoch loss=0.232458 Batch=1139, step=22740, lr=0.105500, batch loss=0.010026, epoch loss=0.242484 Batch=1199, step=22800, lr=0.105250, batch loss=0.004448, epoch loss=0.246932 Epoch=18, step=22800, lr=0.105250, epoch loss=0.246932 Batch=59, step=22860, lr=0.105000, batch loss=0.001675, epoch loss=0.001675 Batch=119, step=22920, lr=0.104750, batch loss=0.005076, epoch loss=0.006751 Batch=179, step=22980, lr=0.104500, batch loss=0.011022, epoch loss=0.017773 Batch=239, step=23040, lr=0.104250, batch loss=0.009190, epoch loss=0.026963 Batch=299, step=23100, lr=0.104000, batch loss=0.012718, epoch loss=0.039681 Batch=359, step=23160, lr=0.103750, batch loss=0.011212, epoch loss=0.050893 Batch=419, step=23220, lr=0.103500, batch loss=0.010993, epoch loss=0.061885 Batch=479, step=23280, lr=0.103250, batch loss=0.003054, epoch loss=0.064939 Batch=539, step=23340, lr=0.103000, batch loss=0.016611, epoch loss=0.081550 Batch=599, step=23400, lr=0.102750, batch loss=0.014366, epoch loss=0.095916 Batch=659, step=23460, lr=0.102500, batch loss=0.013533, epoch loss=0.109449 Batch=719, step=23520, lr=0.102250, batch loss=0.013289, epoch loss=0.122739 Batch=779, step=23580, lr=0.102000, batch loss=0.023055, epoch loss=0.145794 Batch=839, step=23640, lr=0.101750, batch loss=0.027067, epoch loss=0.172861 Batch=899, step=23700, lr=0.101500, batch loss=0.021404, epoch loss=0.194265 Batch=959, step=23760, lr=0.101250, batch loss=0.010456, epoch loss=0.204721 Batch=1019, step=23820, lr=0.101000, batch loss=0.009060, epoch loss=0.213781 Batch=1079, step=23880, lr=0.100750, batch loss=0.001395, epoch loss=0.215176 Batch=1139, step=23940, lr=0.100500, batch loss=0.008908, epoch loss=0.224084 Batch=1199, step=24000, lr=0.100250, batch loss=0.004896, epoch loss=0.228979 Epoch=19, step=24000, lr=0.100250, epoch loss=0.228979 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%...............****#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:36.30 ---> saved as "de54fd78179cc6b674cd5f83df1f7353702c26194fb0b4277648c631c3c6c8a3" Job succeeded 2025-03-20 22:36.32: Job succeeded