2025-03-20 22:11.56: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (4ee46a20839684c520fd8d1cc91b4a5416d1e783) (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 4ee46a20 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 22:11.56: 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 22:11.56: 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 22:11.56: Waiting for resource in pool OCluster 2025-03-20 22:11.56: Waiting for worker… 2025-03-20 22:15.22: Got resource from pool OCluster Building on phoebe.caelum.ci.dev HEAD is now at ccaf459c Missing from previous commit: test update HEAD is now at 4ee46a20 Update GitHub actions (from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) 2025-03-20 22:16.23 ---> saved as "4596744fc3a31520e92f77a93ddee1465e358aef6e37bdf13eead77f318ac19c" /: (comment ubuntu-24.10-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-20 22:16.24 ---> saved as "92dbdccd2ae7da2a97a55cfcdaa39d620d5e2e1b8b97f3dba7905ee379079ded" /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 31 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=31 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-20 22:18.20 ---> saved as "34037fa2027c885ef052f6b26bda0c39d7430cd2fd9bfeab1b457c754e5b1f3d" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-20 22:18.21 ---> saved as "ad2ab2a4f4e9ea6d10f2f7d75a528b347a9df63d0147bccbe314000671024be6" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-20 22:18.21 ---> saved as "e61d4d6fb57c73a00b7acab9d8781ac5302befef711b2735a195337b8e68d737" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:20.05 ---> saved as "b874972d3e4076a232741d0cfa563d8019de8c9040d9b0425ca0556b4c7df6ae" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-20 22:20.06 ---> saved as "d4b1a119b543873fb23a47b88ebf62c03a2f7026db8f7e7fce2cc9d26d2bed25" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-20 22:20.14 ---> saved as "c060fa887757589fca6d50d58cf631964198f1f88b3fdb338ebaeed5047b1184" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-20 22:20.15 ---> saved as "18078c602edcc5788c8461624b565cfa74482a1d3e75db2bbce8a7eb9ee7a139" /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://security.ubuntu.com/ubuntu oracular-security InRelease [126 kB] - Hit:2 http://archive.ubuntu.com/ubuntu oracular InRelease - Get:3 http://archive.ubuntu.com/ubuntu oracular-updates InRelease [126 kB] - Get:4 http://security.ubuntu.com/ubuntu oracular-security/main amd64 Packages [300 kB] - Get:5 http://security.ubuntu.com/ubuntu oracular-security/universe amd64 Packages [191 kB] - Get:6 http://archive.ubuntu.com/ubuntu oracular-backports InRelease [126 kB] - Get:7 http://archive.ubuntu.com/ubuntu oracular-updates/universe amd64 Packages [258 kB] - Get:8 http://archive.ubuntu.com/ubuntu oracular-updates/main amd64 Packages [421 kB] - Fetched 1549 kB in 1s (1126 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 22:20.59 ---> saved as "5448ea584b520bb61c4987745362a9e469e1b2087be0e9f523e9d15d0a63a053" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_compare.v0.17.0 (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 dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed jane-street-headers.v0.17.0 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed uucp.16.0.0 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed printbox-text.0.12 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed printbox-md.0.12 -> installed stdio.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-20 22:24.34 ---> saved as "cba6c019bedd9a4b8fb72b2e06f10c829df6e3a45923bf267e061e329f248966" /src: (copy (src .) (dst /src)) 2025-03-20 22:24.36 ---> saved as "74c78ae58c845893a6e16cdee12a5762d139626b3c9da90f8a2dc6db547da65d" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8de0b60ff90374a4100d9f8e1fd9606b/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f39cccf75d79f769ebeccd29ab11a35b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, 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=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.174750, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174500, batch loss=0.194182, epoch loss=0.424711 Batch=179, step=6180, lr=0.174250, batch loss=0.201537, epoch loss=0.626249 Batch=239, step=6240, lr=0.174250, batch loss=0.302392, epoch loss=0.928641 Batch=299, step=6300, lr=0.174000, batch loss=0.203909, epoch loss=1.132549 Batch=359, step=6360, lr=0.173750, batch loss=0.266135, epoch loss=1.398684 Batch=419, step=6420, lr=0.173500, batch loss=0.265269, epoch loss=1.663952 Batch=479, step=6480, lr=0.173250, batch loss=0.243337, epoch loss=1.907289 Batch=539, step=6540, lr=0.173000, batch loss=0.192948, epoch loss=2.100237 Batch=599, step=6600, lr=0.172750, batch loss=0.234522, epoch loss=2.334759 Batch=659, step=6660, lr=0.172500, batch loss=0.312101, epoch loss=2.646860 Batch=719, step=6720, lr=0.172250, batch loss=0.314235, epoch loss=2.961094 Batch=779, step=6780, lr=0.172000, batch loss=0.333209, epoch loss=3.294303 Batch=839, step=6840, lr=0.171750, batch loss=0.303771, epoch loss=3.598074 Batch=899, step=6900, lr=0.171500, batch loss=0.268454, epoch loss=3.866528 Batch=959, step=6960, lr=0.171250, batch loss=0.211070, epoch loss=4.077599 Batch=1019, step=7020, lr=0.171000, batch loss=0.330425, epoch loss=4.408023 Batch=1079, step=7080, lr=0.170750, batch loss=0.180897, epoch loss=4.588920 Batch=1139, step=7140, lr=0.170500, batch loss=0.216303, epoch loss=4.805224 Batch=1199, step=7200, lr=0.170250, batch loss=0.181901, epoch loss=4.987124 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987124 Batch=59, step=7260, lr=0.170000, batch loss=0.232908, epoch loss=0.232908 Batch=119, step=7320, lr=0.169750, batch loss=0.184408, epoch loss=0.417316 Batch=179, step=7380, lr=0.169500, batch loss=0.196291, epoch loss=0.613607 Batch=239, step=7440, lr=0.169250, batch loss=0.290837, epoch loss=0.904444 Batch=299, step=7500, lr=0.169000, batch loss=0.200814, epoch loss=1.105258 Batch=359, step=7560, lr=0.168750, batch loss=0.258457, epoch loss=1.363715 Batch=419, step=7620, lr=0.168500, batch loss=0.256794, epoch loss=1.620509 Batch=479, step=7680, lr=0.168250, batch loss=0.236018, epoch loss=1.856527 Batch=539, step=7740, lr=0.168000, batch loss=0.187874, epoch loss=2.044401 Batch=599, step=7800, lr=0.167750, batch loss=0.223948, epoch loss=2.268349 Batch=659, step=7860, lr=0.167500, batch loss=0.305904, epoch loss=2.574253 Batch=719, step=7920, lr=0.167250, batch loss=0.309311, epoch loss=2.883563 Batch=779, step=7980, lr=0.167000, batch loss=0.329925, epoch loss=3.213488 Batch=839, step=8040, lr=0.166750, batch loss=0.292440, epoch loss=3.505928 Batch=899, step=8100, lr=0.166500, batch loss=0.261762, epoch loss=3.767690 Batch=959, step=8160, lr=0.166250, batch loss=0.193327, epoch loss=3.961017 Batch=1019, step=8220, lr=0.166000, batch loss=0.313994, epoch loss=4.275011 Batch=1079, step=8280, lr=0.165750, batch loss=0.172134, epoch loss=4.447145 Batch=1139, step=8340, lr=0.165500, batch loss=0.209732, epoch loss=4.656877 Batch=1199, step=8400, lr=0.165250, batch loss=0.178261, epoch loss=4.835138 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835138 Batch=59, step=8460, lr=0.165000, batch loss=0.229761, epoch loss=0.229761 Batch=119, step=8520, lr=0.164750, batch loss=0.175001, epoch loss=0.404761 Batch=179, step=8580, lr=0.164500, batch loss=0.187815, epoch loss=0.592576 Batch=239, step=8640, lr=0.164250, batch loss=0.278219, epoch loss=0.870795 Batch=299, step=8700, lr=0.164000, batch loss=0.191969, epoch loss=1.062763 Batch=359, step=8760, lr=0.163750, batch loss=0.248658, epoch loss=1.311422 Batch=419, step=8820, lr=0.163500, batch loss=0.245583, epoch loss=1.557005 Batch=479, step=8880, lr=0.163250, batch loss=0.228616, epoch loss=1.785621 Batch=539, step=8940, lr=0.163000, batch loss=0.178108, epoch loss=1.963729 Batch=599, step=9000, lr=0.162750, batch loss=0.217420, epoch loss=2.181149 Batch=659, step=9060, lr=0.162500, batch loss=0.294800, epoch loss=2.475949 Batch=719, step=9120, lr=0.162250, batch loss=0.296460, epoch loss=2.772409 Batch=779, step=9180, lr=0.162000, batch loss=0.316703, epoch loss=3.089111 Batch=839, step=9240, lr=0.161750, batch loss=0.287265, epoch loss=3.376377 Batch=899, step=9300, lr=0.161500, batch loss=0.251045, epoch loss=3.627421 Batch=959, step=9360, lr=0.161250, batch loss=0.190577, epoch loss=3.817998 Batch=1019, step=9420, lr=0.161000, batch loss=0.311672, epoch loss=4.129670 Batch=1079, step=9480, lr=0.160750, batch loss=0.191657, epoch loss=4.321327 Batch=1139, step=9540, lr=0.160500, batch loss=0.215743, epoch loss=4.537070 Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702690 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702690 Batch=59, step=9660, lr=0.160000, batch loss=0.197252, epoch loss=0.197252 Batch=119, step=9720, lr=0.159750, batch loss=0.165448, epoch loss=0.362699 Batch=179, step=9780, lr=0.159500, batch loss=0.179286, epoch loss=0.541985 Batch=239, step=9840, lr=0.159250, batch loss=0.263856, epoch loss=0.805841 Batch=299, step=9900, lr=0.159000, batch loss=0.182154, epoch loss=0.987995 Batch=359, step=9960, lr=0.158750, batch loss=0.240878, epoch loss=1.228873 Batch=419, step=10020, lr=0.158500, batch loss=0.232959, epoch loss=1.461832 Batch=479, step=10080, lr=0.158250, batch loss=0.213226, epoch loss=1.675058 Batch=539, step=10140, lr=0.158000, batch loss=0.170543, epoch loss=1.845601 Batch=599, step=10200, lr=0.157750, batch loss=0.200268, epoch loss=2.045869 Batch=659, step=10260, lr=0.157500, batch loss=0.283042, epoch loss=2.328911 Batch=719, step=10320, lr=0.157250, batch loss=0.279696, epoch loss=2.608607 Batch=779, step=10380, lr=0.157000, batch loss=0.300735, epoch loss=2.909342 Batch=839, step=10440, lr=0.156750, batch loss=0.271015, epoch loss=3.180357 Batch=899, step=10500, lr=0.156500, batch loss=0.239750, epoch loss=3.420107 Batch=959, step=10560, lr=0.156250, batch loss=0.198125, epoch loss=3.618232 Batch=1019, step=10620, lr=0.156000, batch loss=0.293651, epoch loss=3.911883 Batch=1079, step=10680, lr=0.155750, batch loss=0.179929, epoch loss=4.091812 Batch=1139, step=10740, lr=0.155500, batch loss=0.204221, epoch loss=4.296034 Batch=1199, step=10800, lr=0.155250, batch loss=0.154718, epoch loss=4.450752 Epoch=8, step=10800, lr=0.155250, epoch loss=4.450752 Batch=59, step=10860, lr=0.155000, batch loss=0.176370, epoch loss=0.176370 Batch=119, step=10920, lr=0.154750, batch loss=0.147166, epoch loss=0.323536 Batch=179, step=10980, lr=0.154500, batch loss=0.166013, epoch loss=0.489549 Batch=239, step=11040, lr=0.154250, batch loss=0.241474, epoch loss=0.731024 Batch=299, step=11100, lr=0.154000, batch loss=0.170472, epoch loss=0.901496 Batch=359, step=11160, lr=0.153750, batch loss=0.221279, epoch loss=1.122775 Batch=419, step=11220, lr=0.153500, batch loss=0.218353, epoch loss=1.341128 Batch=479, step=11280, lr=0.153250, batch loss=0.209259, epoch loss=1.550387 Batch=539, step=11340, lr=0.153000, batch loss=0.158902, epoch loss=1.709289 Batch=599, step=11400, lr=0.152750, batch loss=0.177414, epoch loss=1.886703 Batch=659, step=11460, lr=0.152250, batch loss=0.265251, epoch loss=2.151954 Batch=719, step=11520, lr=0.152000, batch loss=0.260096, epoch loss=2.412050 Batch=779, step=11580, lr=0.152000, batch loss=0.272836, epoch loss=2.684886 Batch=839, step=11640, lr=0.151750, batch loss=0.256207, epoch loss=2.941093 Batch=899, step=11700, lr=0.151500, batch loss=0.212596, epoch loss=3.153689 Batch=959, step=11760, lr=0.151000, batch loss=0.169107, epoch loss=3.322796 Batch=1019, step=11820, lr=0.150750, batch loss=0.265986, epoch loss=3.588782 Batch=1079, step=11880, lr=0.150500, batch loss=0.149045, epoch loss=3.737828 Batch=1139, step=11940, lr=0.150500, batch loss=0.184045, epoch loss=3.921872 Batch=1199, step=12000, lr=0.150250, batch loss=0.138577, epoch loss=4.060449 Epoch=9, step=12000, lr=0.150250, epoch loss=4.060449 Batch=59, step=12060, lr=0.150000, batch loss=0.158135, epoch loss=0.158135 Batch=119, step=12120, lr=0.149750, batch loss=0.129079, epoch loss=0.287214 Batch=179, step=12180, lr=0.149500, batch loss=0.153595, epoch loss=0.440809 Batch=239, step=12240, lr=0.149250, batch loss=0.218550, epoch loss=0.659359 Batch=299, step=12300, lr=0.148750, batch loss=0.141137, epoch loss=0.800496 Batch=359, step=12360, lr=0.148500, batch loss=0.197752, epoch loss=0.998248 Batch=419, step=12420, lr=0.148500, batch loss=0.204201, epoch loss=1.202449 Batch=479, step=12480, lr=0.148250, batch loss=0.180192, epoch loss=1.382641 Batch=539, step=12540, lr=0.148000, batch loss=0.141049, epoch loss=1.523690 Batch=599, step=12600, lr=0.147750, batch loss=0.150449, epoch loss=1.674139 Batch=659, step=12660, lr=0.147500, batch loss=0.224196, epoch loss=1.898335 Batch=719, step=12720, lr=0.147250, batch loss=0.238280, epoch loss=2.136614 Batch=779, step=12780, lr=0.147000, batch loss=0.257928, epoch loss=2.394542 Batch=839, step=12840, lr=0.146750, batch loss=0.238823, epoch loss=2.633365 Batch=899, step=12900, lr=0.146500, batch loss=0.229033, epoch loss=2.862398 Batch=959, step=12960, lr=0.146250, batch loss=0.140536, epoch loss=3.002934 Batch=1019, step=13020, lr=0.146000, batch loss=0.223923, epoch loss=3.226856 Batch=1079, step=13080, lr=0.145750, batch loss=0.106205, epoch loss=3.333061 Batch=1139, step=13140, lr=0.145500, batch loss=0.141391, epoch loss=3.474453 Batch=1199, step=13200, lr=0.145250, batch loss=0.122273, epoch loss=3.596726 Epoch=10, step=13200, lr=0.145250, epoch loss=3.596726 Batch=59, step=13260, lr=0.145000, batch loss=0.158854, epoch loss=0.158854 Batch=119, step=13320, lr=0.144750, batch loss=0.126852, epoch loss=0.285706 Batch=179, step=13380, lr=0.144500, batch loss=0.127852, epoch loss=0.413558 Batch=239, step=13440, lr=0.144250, batch loss=0.189887, epoch loss=0.603445 Batch=299, step=13500, lr=0.144000, batch loss=0.120628, epoch loss=0.724073 Batch=359, step=13560, lr=0.143750, batch loss=0.161171, epoch loss=0.885244 Batch=419, step=13620, lr=0.143500, batch loss=0.160749, epoch loss=1.045993 Batch=479, step=13680, lr=0.143250, batch loss=0.147659, epoch loss=1.193652 Batch=539, step=13740, lr=0.143000, batch loss=0.118500, epoch loss=1.312152 Batch=599, step=13800, lr=0.142750, batch loss=0.120060, epoch loss=1.432212 Batch=659, step=13860, lr=0.142500, batch loss=0.175914, epoch loss=1.608126 Batch=719, step=13920, lr=0.142250, batch loss=0.172663, epoch loss=1.780788 Batch=779, step=13980, lr=0.142000, batch loss=0.188098, epoch loss=1.968886 Batch=839, step=14040, lr=0.141750, batch loss=0.194071, epoch loss=2.162957 Batch=899, step=14100, lr=0.141500, batch loss=0.208199, epoch loss=2.371156 Batch=959, step=14160, lr=0.141250, batch loss=0.110065, epoch loss=2.481222 Batch=1019, step=14220, lr=0.141000, batch loss=0.198998, epoch loss=2.680219 Batch=1079, step=14280, lr=0.140750, batch loss=0.080370, epoch loss=2.760590 Batch=1139, step=14340, lr=0.140500, batch loss=0.128205, epoch loss=2.888795 Batch=1199, step=14400, lr=0.140250, batch loss=0.087276, epoch loss=2.976071 Epoch=11, step=14400, lr=0.140250, epoch loss=2.976071 Batch=59, step=14460, lr=0.140000, batch loss=0.102280, epoch loss=0.102280 Batch=119, step=14520, lr=0.139750, batch loss=0.101049, epoch loss=0.203328 Batch=179, step=14580, lr=0.139500, batch loss=0.098430, epoch loss=0.301759 Batch=239, step=14640, lr=0.139250, batch loss=0.142452, epoch loss=0.444210 Batch=299, step=14700, lr=0.139000, batch loss=0.089162, epoch loss=0.533372 Batch=359, step=14760, lr=0.138750, batch loss=0.146893, epoch loss=0.680265 Batch=419, step=14820, lr=0.138500, batch loss=0.209834, epoch loss=0.890099 Batch=479, step=14880, lr=0.138250, batch loss=0.090986, epoch loss=0.981085 Batch=539, step=14940, lr=0.138000, batch loss=0.071984, epoch loss=1.053069 Batch=599, step=15000, lr=0.137750, batch loss=0.099367, epoch loss=1.152436 Batch=659, step=15060, lr=0.137500, batch loss=0.129211, epoch loss=1.281646 Batch=719, step=15120, lr=0.137250, batch loss=0.121076, epoch loss=1.402722 Batch=779, step=15180, lr=0.137000, batch loss=0.136442, epoch loss=1.539163 Batch=839, step=15240, lr=0.136750, batch loss=0.162562, epoch loss=1.701725 Batch=899, step=15300, lr=0.136500, batch loss=0.236352, epoch loss=1.938077 Batch=959, step=15360, lr=0.136250, batch loss=0.060773, epoch loss=1.998850 Batch=1019, step=15420, lr=0.136000, batch loss=0.131850, epoch loss=2.130700 Batch=1079, step=15480, lr=0.135750, batch loss=0.052476, epoch loss=2.183176 Batch=1139, step=15540, lr=0.135500, batch loss=0.107562, epoch loss=2.290738 Batch=1199, step=15600, lr=0.135250, batch loss=0.057933, epoch loss=2.348671 Epoch=12, step=15600, lr=0.135250, epoch loss=2.348671 Batch=59, step=15660, lr=0.135000, batch loss=0.076421, epoch loss=0.076421 Batch=119, step=15720, lr=0.134750, batch loss=0.106463, epoch loss=0.182884 Batch=179, step=15780, lr=0.134500, batch loss=0.085792, epoch loss=0.268676 Batch=239, step=15840, lr=0.134250, batch loss=0.092704, epoch loss=0.361379 Batch=299, step=15900, lr=0.134000, batch loss=0.036724, epoch loss=0.398103 Batch=359, step=15960, lr=0.133750, batch loss=0.077349, epoch loss=0.475453 Batch=419, step=16020, lr=0.133500, batch loss=0.077481, epoch loss=0.552934 Batch=479, step=16080, lr=0.133250, batch loss=0.055588, epoch loss=0.608521 Batch=539, step=16140, lr=0.133000, batch loss=0.075079, epoch loss=0.683600 Batch=599, step=16200, lr=0.132750, batch loss=0.170057, epoch loss=0.853657 Batch=659, step=16260, lr=0.132500, batch loss=0.093598, epoch loss=0.947255 Batch=719, step=16320, lr=0.132250, batch loss=0.134439, epoch loss=1.081694 Batch=779, step=16380, lr=0.132000, batch loss=0.304126, epoch loss=1.385820 Batch=839, step=16440, lr=0.131750, batch loss=0.093934, epoch loss=1.479754 Batch=899, step=16500, lr=0.131500, batch loss=0.080257, epoch loss=1.560012 Batch=959, step=16560, lr=0.131250, batch loss=0.032134, epoch loss=1.592146 Batch=1019, step=16620, lr=0.131000, batch loss=0.066492, epoch loss=1.658638 Batch=1079, step=16680, lr=0.130750, batch loss=0.050292, epoch loss=1.708930 Batch=1139, step=16740, lr=0.130500, batch loss=0.085772, epoch loss=1.794703 Batch=1199, step=16800, lr=0.130250, batch loss=0.038920, epoch loss=1.833623 Epoch=13, step=16800, lr=0.130250, epoch loss=1.833623 Batch=59, step=16860, lr=0.130000, batch loss=0.033220, epoch loss=0.033220 Batch=119, step=16920, lr=0.129750, batch loss=0.034040, epoch loss=0.067260 Batch=179, step=16980, lr=0.129500, batch loss=0.043054, epoch loss=0.110314 Batch=239, step=17040, lr=0.129250, batch loss=0.058915, epoch loss=0.169229 Batch=299, step=17100, lr=0.129000, batch loss=0.019766, epoch loss=0.188995 Batch=359, step=17160, lr=0.128750, batch loss=0.041920, epoch loss=0.230914 Batch=419, step=17220, lr=0.128500, batch loss=0.045017, epoch loss=0.275932 Batch=479, step=17280, lr=0.128250, batch loss=0.029060, epoch loss=0.304991 Batch=539, step=17340, lr=0.128000, batch loss=0.056136, epoch loss=0.361128 Batch=599, step=17400, lr=0.127750, batch loss=0.035024, epoch loss=0.396152 Batch=659, step=17460, lr=0.127500, batch loss=0.046795, epoch loss=0.442947 Batch=719, step=17520, lr=0.127250, batch loss=0.040381, epoch loss=0.483327 Batch=779, step=17580, lr=0.127000, batch loss=0.046234, epoch loss=0.529561 Batch=839, step=17640, lr=0.126750, batch loss=0.107062, epoch loss=0.636623 Batch=899, step=17700, lr=0.126500, batch loss=0.165946, epoch loss=0.802569 Batch=959, step=17760, lr=0.126250, batch loss=0.024096, epoch loss=0.826665 Batch=1019, step=17820, lr=0.126000, batch loss=0.044840, epoch loss=0.871505 Batch=1079, step=17880, lr=0.125750, batch loss=0.023251, epoch loss=0.894756 Batch=1139, step=17940, lr=0.125500, batch loss=0.046969, epoch loss=0.941725 Batch=1199, step=18000, lr=0.125250, batch loss=0.020554, epoch loss=0.962279 Epoch=14, step=18000, lr=0.125250, epoch loss=0.962279 Batch=59, step=18060, lr=0.125000, batch loss=0.012633, epoch loss=0.012633 Batch=119, step=18120, lr=0.124750, batch loss=0.018653, epoch loss=0.031286 Batch=179, step=18180, lr=0.124500, batch loss=0.029619, epoch loss=0.060905 Batch=239, step=18240, lr=0.124250, batch loss=0.036994, epoch loss=0.097899 Batch=299, step=18300, lr=0.124000, batch loss=0.015941, epoch loss=0.113840 Batch=359, step=18360, lr=0.123750, batch loss=0.024311, epoch loss=0.138151 Batch=419, step=18420, lr=0.123500, batch loss=0.028667, epoch loss=0.166819 Batch=479, step=18480, lr=0.123250, batch loss=0.017921, epoch loss=0.184739 Batch=539, step=18540, lr=0.123000, batch loss=0.026282, epoch loss=0.211021 Batch=599, step=18600, lr=0.122750, batch loss=0.026260, epoch loss=0.237282 Batch=659, step=18660, lr=0.122500, batch loss=0.028121, epoch loss=0.265403 Batch=719, step=18720, lr=0.122250, batch loss=0.034886, epoch loss=0.300289 Batch=779, step=18780, lr=0.122000, batch loss=0.074089, epoch loss=0.374378 Batch=839, step=18840, lr=0.121750, batch loss=0.054654, epoch loss=0.429031 Batch=899, step=18900, lr=0.121500, batch loss=0.053971, epoch loss=0.483003 Batch=959, step=18960, lr=0.121250, batch loss=0.014756, epoch loss=0.497759 Batch=1019, step=19020, lr=0.121000, batch loss=0.022216, epoch loss=0.519975 Batch=1079, step=19080, lr=0.120750, batch loss=0.016936, epoch loss=0.536911 Batch=1139, step=19140, lr=0.120500, batch loss=0.038744, epoch loss=0.575655 Batch=1199, step=19200, lr=0.120250, batch loss=0.012702, epoch loss=0.588357 Epoch=15, step=19200, lr=0.120250, epoch loss=0.588357 Batch=59, step=19260, lr=0.120000, batch loss=0.012282, epoch loss=0.012282 Batch=119, step=19320, lr=0.119750, batch loss=0.022949, epoch loss=0.035231 Batch=179, step=19380, lr=0.119500, batch loss=0.052858, epoch loss=0.088090 Batch=239, step=19440, lr=0.119250, batch loss=0.022176, epoch loss=0.110265 Batch=299, step=19500, lr=0.119000, batch loss=0.017127, epoch loss=0.127393 Batch=359, step=19560, lr=0.118750, batch loss=0.033093, epoch loss=0.160485 Batch=419, step=19620, lr=0.118500, batch loss=0.020746, epoch loss=0.181231 Batch=479, step=19680, lr=0.118250, batch loss=0.007470, epoch loss=0.188701 Batch=539, step=19740, lr=0.118000, batch loss=0.027654, epoch loss=0.216355 Batch=599, step=19800, lr=0.117750, batch loss=0.025973, epoch loss=0.242327 Batch=659, step=19860, lr=0.117500, batch loss=0.018759, epoch loss=0.261087 Batch=719, step=19920, lr=0.117250, batch loss=0.038756, epoch loss=0.299842 Batch=779, step=19980, lr=0.117000, batch loss=0.083612, epoch loss=0.383455 Batch=839, step=20040, lr=0.116750, batch loss=0.030673, epoch loss=0.414128 Batch=899, step=20100, lr=0.116500, batch loss=0.034271, epoch loss=0.448399 Batch=959, step=20160, lr=0.116250, batch loss=0.012019, epoch loss=0.460418 Batch=1019, step=20220, lr=0.116000, batch loss=0.016632, epoch loss=0.477050 Batch=1079, step=20280, lr=0.115750, batch loss=0.002530, epoch loss=0.479580 Batch=1139, step=20340, lr=0.115500, batch loss=0.014933, epoch loss=0.494513 Batch=1199, step=20400, lr=0.115250, batch loss=0.005799, epoch loss=0.500313 Epoch=16, step=20400, lr=0.115250, epoch loss=0.500313 Batch=59, step=20460, lr=0.115000, batch loss=0.002992, epoch loss=0.002992 Batch=119, step=20520, lr=0.114750, batch loss=0.009516, epoch loss=0.012508 Batch=179, step=20580, lr=0.114500, batch loss=0.019541, epoch loss=0.032050 Batch=239, step=20640, lr=0.114250, batch loss=0.020929, epoch loss=0.052979 Batch=299, step=20700, lr=0.114000, batch loss=0.009675, epoch loss=0.062654 Batch=359, step=20760, lr=0.113750, batch loss=0.014204, epoch loss=0.076858 Batch=419, step=20820, lr=0.113500, batch loss=0.014775, epoch loss=0.091634 Batch=479, step=20880, lr=0.113250, batch loss=0.003208, epoch loss=0.094842 Batch=539, step=20940, lr=0.113000, batch loss=0.017230, epoch loss=0.112072 Batch=599, step=21000, lr=0.112750, batch loss=0.018677, epoch loss=0.130748 Batch=659, step=21060, lr=0.112500, batch loss=0.014140, epoch loss=0.144889 Batch=719, step=21120, lr=0.112250, batch loss=0.038253, epoch loss=0.183141 Batch=779, step=21180, lr=0.112000, batch loss=0.065604, epoch loss=0.248745 Batch=839, step=21240, lr=0.111750, batch loss=0.024614, epoch loss=0.273359 Batch=899, step=21300, lr=0.111500, batch loss=0.027174, epoch loss=0.300534 Batch=959, step=21360, lr=0.111250, batch loss=0.010485, epoch loss=0.311019 Batch=1019, step=21420, lr=0.111000, batch loss=0.010420, epoch loss=0.321439 Batch=1079, step=21480, lr=0.110750, batch loss=0.001906, epoch loss=0.323345 Batch=1139, step=21540, lr=0.110500, batch loss=0.012395, epoch loss=0.335740 Batch=1199, step=21600, lr=0.110250, batch loss=0.004809, epoch loss=0.340549 Epoch=17, step=21600, lr=0.110250, epoch loss=0.340549 Batch=59, step=21660, lr=0.110000, batch loss=0.002570, epoch loss=0.002570 Batch=119, step=21720, lr=0.109750, batch loss=0.006739, epoch loss=0.009310 Batch=179, step=21780, lr=0.109500, batch loss=0.012453, epoch loss=0.021763 Batch=239, step=21840, lr=0.109250, batch loss=0.008998, epoch loss=0.030761 Batch=299, step=21900, lr=0.109000, batch loss=0.003697, epoch loss=0.034459 Batch=359, step=21960, lr=0.108750, batch loss=0.014220, epoch loss=0.048678 Batch=419, step=22020, lr=0.108500, batch loss=0.011760, epoch loss=0.060439 Batch=479, step=22080, lr=0.108250, batch loss=0.003006, epoch loss=0.063445 Batch=539, step=22140, lr=0.108000, batch loss=0.017007, epoch loss=0.080451 Batch=599, step=22200, lr=0.107750, batch loss=0.015732, epoch loss=0.096183 Batch=659, step=22260, lr=0.107500, batch loss=0.014103, epoch loss=0.110286 Batch=719, step=22320, lr=0.107250, batch loss=0.027947, epoch loss=0.138233 Batch=779, step=22380, lr=0.107000, batch loss=0.039902, epoch loss=0.178135 Batch=839, step=22440, lr=0.106750, batch loss=0.021007, epoch loss=0.199142 Batch=899, step=22500, lr=0.106500, batch loss=0.031799, epoch loss=0.230941 Batch=959, step=22560, lr=0.106250, batch loss=0.008885, epoch loss=0.239826 Batch=1019, step=22620, lr=0.106000, batch loss=0.009066, epoch loss=0.248892 Batch=1079, step=22680, lr=0.105750, batch loss=0.000267, epoch loss=0.249159 Batch=1139, step=22740, lr=0.105500, batch loss=0.010935, epoch loss=0.260095 Batch=1199, step=22800, lr=0.105250, batch loss=0.004572, epoch loss=0.264666 Epoch=18, step=22800, lr=0.105250, epoch loss=0.264666 Batch=59, step=22860, lr=0.105000, batch loss=0.002407, epoch loss=0.002407 Batch=119, step=22920, lr=0.104750, batch loss=0.004804, epoch loss=0.007211 Batch=179, step=22980, lr=0.104500, batch loss=0.011574, epoch loss=0.018786 Batch=239, step=23040, lr=0.104250, batch loss=0.008181, epoch loss=0.026966 Batch=299, step=23100, lr=0.104000, batch loss=0.005141, epoch loss=0.032107 Batch=359, step=23160, lr=0.103750, batch loss=0.011018, epoch loss=0.043125 Batch=419, step=23220, lr=0.103500, batch loss=0.009770, epoch loss=0.052895 Batch=479, step=23280, lr=0.103250, batch loss=0.002709, epoch loss=0.055604 Batch=539, step=23340, lr=0.103000, batch loss=0.015874, epoch loss=0.071478 Batch=599, step=23400, lr=0.102750, batch loss=0.013487, epoch loss=0.084964 Batch=659, step=23460, lr=0.102500, batch loss=0.012746, epoch loss=0.097710 Batch=719, step=23520, lr=0.102250, batch loss=0.015886, epoch loss=0.113596 Batch=779, step=23580, lr=0.102000, batch loss=0.020623, epoch loss=0.134219 Batch=839, step=23640, lr=0.101750, batch loss=0.024475, epoch loss=0.158695 Batch=899, step=23700, lr=0.101500, batch loss=0.022787, epoch loss=0.181482 Batch=959, step=23760, lr=0.101250, batch loss=0.008105, epoch loss=0.189587 Batch=1019, step=23820, lr=0.101000, batch loss=0.008130, epoch loss=0.197717 Batch=1079, step=23880, lr=0.100750, batch loss=0.000811, epoch loss=0.198528 Batch=1139, step=23940, lr=0.100500, batch loss=0.009215, epoch loss=0.207742 Batch=1199, step=24000, lr=0.100250, batch loss=0.004467, epoch loss=0.212210 Epoch=19, step=24000, lr=0.100250, epoch loss=0.212210 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-20 22:25.24 ---> saved as "94d88389e4459e2b4999fc669992781de2b6a15fa26a4def31be0e66e74231ea" Job succeeded 2025-03-20 22:25.25: Job succeeded