2025-04-07 20:32.11: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (0e2c941f45e32868342484f9163bfc2e3a5fb09f) (linux-x86_64:fedora-41-5.3_opam-2.3) Base: ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 0e2c941f cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925 # fedora-41-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo dnf install -y findutils 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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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 2025-04-07 20:32.11: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925-fedora-41-5.3_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04" 2025-04-07 20:32.11: Using OBuilder spec: ((from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925) (comment fedora-41-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (network host) (shell "sudo dnf install -y findutils")) (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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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")) ) 2025-04-07 20:32.11: Waiting for resource in pool OCluster 2025-04-07 20:32.11: Waiting for worker… 2025-04-07 20:32.11: Got resource from pool OCluster Building on doris.caelum.ci.dev All commits already cached HEAD is now at 0e2c941f Formatting (from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925) Unable to find image 'ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925' locally docker.io/ocaml/opam@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925: Pulling from ocaml/opam 5df61545bdd9: Pulling fs layer 5df61545bdd9: Verifying Checksum 5df61545bdd9: Download complete 5df61545bdd9: Pull complete Digest: sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925 Status: Downloaded newer image for ocaml/opam@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925 2025-04-07 20:32.13 ---> using "189447b5abf4f84b3141564fa16299d77370e888a929cebc6495802de6bce562" from cache /: (comment fedora-41-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (network host) (shell "sudo dnf install -y findutils")) Updating and loading repositories: Fedora 41 openh264 (From Cisco) - x86_ 100% | 152.0 B/s | 989.0 B | 00m06s Fedora 41 - x86_64 - Updates 100% | 12.2 KiB/s | 23.5 KiB | 00m02s Fedora 41 - x86_64 100% | 8.2 KiB/s | 25.8 KiB | 00m03s Fedora 41 - x86_64 - Updates 100% | 260.9 KiB/s | 5.5 MiB | 00m22s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-04-07 20:32.13 ---> using "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-04-07 20:32.13 ---> using "92a7f2480fc833b8b6e6f7c055e96edecd7a23b7a1425abe59b46f58f5769a58" 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 71 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=71 --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 2025-04-07 20:32.13 ---> using "22323ebe734803b688970a8a4b44abf93aa58863ccedfb0ae4ead813beb5698c" 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 2025-04-07 20:32.13 ---> using "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-04-07 20:32.13 ---> using "b766911cfcef799c6c2bb8aec82e30e2bd662c95ed64a05054ff7a173457d537" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..598efb46ec master -> origin/master 598efb46ec Merge pull request #27716 from avsm/fix-mpopcnt <><> 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) 2025-04-07 20:32.13 ---> using "daaf41fc4379f41e18473632af51d746310376bd21afb6c692a1dae51a51fa54" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-04-07 20:32.13 ---> using "87e006b63f6ad66becd741c6286086367b32f80dda7433cf2f70c65de865cdde" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-04-07 20:32.13 ---> using "57f1c7001ef9350efbd1983e03cf2eed8ece85b25734d7ad6c15216a7021caa7" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-04-07 20:32.13 ---> using "231c9bb5df4d8d3c3e6183bb8f4dd54ff34350d669d04c2de6e1216afb90e93b" from cache /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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 "yum" "makecache" - Updating and loading repositories: - Fedora 41 - x86_64 - Updates 100% | 29.2 KiB/s | 10.8 KiB | 00m00s - Fedora 41 - x86_64 - Updates 100% | 3.4 MiB/s | 2.8 MiB | 00m01s - Repositories loaded. - Metadata cache created. <><> 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-devel <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "yum" "install" "-y" "libffi-devel" - Updating and loading repositories: - Repositories loaded. - Package Arch Version Repository Size - Installing: - libffi-devel x86_64 3.4.6-3.fc41 fedora 33.1 KiB - - Transaction Summary: - Installing: 1 package - - Total size of inbound packages is 29 KiB. Need to download 29 KiB. - After this operation, 33 KiB extra will be used (install 33 KiB, remove 0 B). - [1/1] libffi-devel-0:3.4.6-3.fc41.x86_6 100% | 30.6 KiB/s | 28.8 KiB | 00m01s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 26.2 KiB/s | 28.8 KiB | 00m01s - Running transaction - [1/3] Verify package files 100% | 0.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 50.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 724.9 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-04-07 20:32.13 ---> using "350db5eeadb17cfe99fc60f637047662119b9f9af951447be47f4f89b99e861f" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 74 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - 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 3.18.0 - install dune-configurator 3.18.0 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - 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-version 4.0.0 - 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 2.2.0 - 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 result 1.5 - 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 thread-local-storage 0.2 - 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 astring.0.8.5 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (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 fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (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-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved dune.3.18.0, dune-configurator.3.18.0 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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_minidebug.2.2.0 (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 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 seq.base (cached) -> installed seq.base -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (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 ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.18.0 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> 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) 2025-04-07 20:32.13 ---> using "0c9c8d1607d195f55d301bac3d6c5ac9eaec7e0abef73f7632b51ae04a95abb5" from cache /src: (copy (src .) (dst /src)) 2025-04-07 20:32.13 ---> saved as "b4fe221564143f007bab6719030e08c77b609705715f76a381df908c7aedf6a3" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (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/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/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test && .tutorials.inline-tests/inline-test-runner.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/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d4121d1072842680c1dedcf0753b9a60/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test && .tutorials.inline-tests/inline-test-runner.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/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test && .tutorials.inline-tests/inline-test-runner.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/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test && .tutorials.inline-tests/inline-test-runner.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/ccd2a00c625883df9a62ff0754a6df7f/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=0.195250, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263642, epoch loss=45.331911 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331911 Batch=59, step=1260, lr=0.195000, batch loss=0.262106, epoch loss=0.262106 Batch=119, step=1320, lr=0.194750, batch loss=0.205296, epoch loss=0.467402 Batch=179, step=1380, lr=0.194500, batch loss=0.243649, epoch loss=0.711051 Batch=239, step=1440, lr=0.194250, batch loss=0.347853, epoch loss=1.058904 Batch=299, step=1500, lr=0.194000, batch loss=0.247433, epoch loss=1.306337 Batch=359, step=1560, lr=0.193750, batch loss=0.316495, epoch loss=1.622832 Batch=419, step=1620, lr=0.193500, batch loss=0.308732, epoch loss=1.931564 Batch=479, step=1680, lr=0.193250, batch loss=0.275139, epoch loss=2.206703 Batch=539, step=1740, lr=0.193000, batch loss=0.210717, epoch loss=2.417420 Batch=599, step=1800, lr=0.192750, batch loss=0.262147, epoch loss=2.679567 Batch=659, step=1860, lr=0.192500, batch loss=0.375475, epoch loss=3.055042 Batch=719, step=1920, lr=0.192250, batch loss=0.358178, epoch loss=3.413220 Batch=779, step=1980, lr=0.192000, batch loss=0.386747, epoch loss=3.799967 Batch=839, step=2040, lr=0.191750, batch loss=0.346614, epoch loss=4.146581 Batch=899, step=2100, lr=0.191500, batch loss=0.322593, epoch loss=4.469174 Batch=959, step=2160, lr=0.191250, batch loss=0.255842, epoch loss=4.725016 Batch=1019, step=2220, lr=0.191000, batch loss=0.389033, epoch loss=5.114048 Batch=1079, step=2280, lr=0.190750, batch loss=0.219143, epoch loss=5.333191 Batch=1139, step=2340, lr=0.190500, batch loss=0.262945, epoch loss=5.596137 Batch=1199, step=2400, lr=0.190250, batch loss=0.212409, epoch loss=5.808546 Epoch=1, step=2400, lr=0.190250, epoch loss=5.808546 Batch=59, step=2460, lr=0.190000, batch loss=0.229962, epoch loss=0.229962 Batch=119, step=2520, lr=0.189750, batch loss=0.192306, epoch loss=0.422268 Batch=179, step=2580, lr=0.189500, batch loss=0.220923, epoch loss=0.643192 Batch=239, step=2640, lr=0.189250, batch loss=0.329097, epoch loss=0.972289 Batch=299, step=2700, lr=0.189000, batch loss=0.205430, epoch loss=1.177719 Batch=359, step=2760, lr=0.188750, batch loss=0.291289, epoch loss=1.469008 Batch=419, step=2820, lr=0.188500, batch loss=0.283013, epoch loss=1.752021 Batch=479, step=2880, lr=0.188250, batch loss=0.261768, epoch loss=2.013789 Batch=539, step=2940, lr=0.188000, batch loss=0.199924, epoch loss=2.213713 Batch=599, step=3000, lr=0.187750, batch loss=0.244434, epoch loss=2.458148 Batch=659, step=3060, lr=0.187500, batch loss=0.345439, epoch loss=2.803587 Batch=719, step=3120, lr=0.187250, batch loss=0.342415, epoch loss=3.146002 Batch=779, step=3180, lr=0.187000, batch loss=0.366968, epoch loss=3.512970 Batch=839, step=3240, lr=0.186750, batch loss=0.323154, epoch loss=3.836125 Batch=899, step=3300, lr=0.186500, batch loss=0.281742, epoch loss=4.117866 Batch=959, step=3360, lr=0.186250, batch loss=0.205133, epoch loss=4.323000 Batch=1019, step=3420, lr=0.186000, batch loss=0.317933, epoch loss=4.640933 Batch=1079, step=3480, lr=0.185750, batch loss=0.190998, epoch loss=4.831931 Batch=1139, step=3540, lr=0.185500, batch loss=0.234310, epoch loss=5.066242 Batch=1199, step=3600, lr=0.185250, batch loss=0.198928, epoch loss=5.265170 Epoch=2, step=3600, lr=0.185250, epoch loss=5.265170 Batch=59, step=3660, lr=0.185000, batch loss=0.231771, epoch loss=0.231771 Batch=119, step=3720, lr=0.184750, batch loss=0.196260, epoch loss=0.428031 Batch=179, step=3780, lr=0.184500, batch loss=0.212864, epoch loss=0.640895 Batch=239, step=3840, lr=0.184250, batch loss=0.318794, epoch loss=0.959690 Batch=299, step=3900, lr=0.184000, batch loss=0.206128, epoch loss=1.165818 Batch=359, step=3960, lr=0.183750, batch loss=0.287282, epoch loss=1.453100 Batch=419, step=4020, lr=0.183500, batch loss=0.274272, epoch loss=1.727372 Batch=479, step=4080, lr=0.183250, batch loss=0.251539, epoch loss=1.978911 Batch=539, step=4140, lr=0.183000, batch loss=0.192658, epoch loss=2.171570 Batch=599, step=4200, lr=0.182750, batch loss=0.234351, epoch loss=2.405921 Batch=659, step=4260, lr=0.182500, batch loss=0.333002, epoch loss=2.738923 Batch=719, step=4320, lr=0.182250, batch loss=0.342339, epoch loss=3.081261 Batch=779, step=4380, lr=0.182000, batch loss=0.348923, epoch loss=3.430184 Batch=839, step=4440, lr=0.181750, batch loss=0.316802, epoch loss=3.746986 Batch=899, step=4500, lr=0.181500, batch loss=0.284730, epoch loss=4.031716 Batch=959, step=4560, lr=0.181250, batch loss=0.240271, epoch loss=4.271987 Batch=1019, step=4620, lr=0.181000, batch loss=0.330514, epoch loss=4.602501 Batch=1079, step=4680, lr=0.180750, batch loss=0.198358, epoch loss=4.800859 Batch=1139, step=4740, lr=0.180500, batch loss=0.227936, epoch loss=5.028795 Batch=1199, step=4800, lr=0.180250, batch loss=0.193439, epoch loss=5.222234 Epoch=3, step=4800, lr=0.180250, epoch loss=5.222234 Batch=59, step=4860, lr=0.180000, batch loss=0.235415, epoch loss=0.235415 Batch=119, step=4920, lr=0.179750, batch loss=0.200624, epoch loss=0.436039 Batch=179, step=4980, lr=0.179500, batch loss=0.205949, epoch loss=0.641988 Batch=239, step=5040, lr=0.179250, batch loss=0.308805, epoch loss=0.950793 Batch=299, step=5100, lr=0.179000, batch loss=0.207610, epoch loss=1.158403 Batch=359, step=5160, lr=0.178750, batch loss=0.274986, epoch loss=1.433389 Batch=419, step=5220, lr=0.178500, batch loss=0.265782, epoch loss=1.699171 Batch=479, step=5280, lr=0.178250, batch loss=0.241442, epoch loss=1.940613 Batch=539, step=5340, lr=0.178000, batch loss=0.189281, epoch loss=2.129894 Batch=599, step=5400, lr=0.177750, batch loss=0.231845, epoch loss=2.361739 Batch=659, step=5460, lr=0.177500, batch loss=0.323291, epoch loss=2.685030 Batch=719, step=5520, lr=0.177250, batch loss=0.326080, epoch loss=3.011110 Batch=779, step=5580, lr=0.177000, batch loss=0.347741, epoch loss=3.358851 Batch=839, step=5640, lr=0.176750, batch loss=0.306059, epoch loss=3.664911 Batch=899, step=5700, lr=0.176500, batch loss=0.265451, epoch loss=3.930362 Batch=959, step=5760, lr=0.176250, batch loss=0.202062, epoch loss=4.132424 Batch=1019, step=5820, lr=0.176000, batch loss=0.300109, epoch loss=4.432533 Batch=1079, step=5880, lr=0.175750, batch loss=0.179820, epoch loss=4.612353 Batch=1139, step=5940, lr=0.175500, batch loss=0.221802, epoch loss=4.834154 Batch=1199, step=6000, lr=0.175250, batch loss=0.185387, epoch loss=5.019542 Epoch=4, step=6000, lr=0.175250, epoch loss=5.019542 Batch=59, step=6060, lr=0.175000, batch loss=0.218477, epoch loss=0.218477 Batch=119, step=6120, lr=0.174750, batch loss=0.188595, epoch loss=0.407072 Batch=179, step=6180, lr=0.174500, batch loss=0.199700, epoch loss=0.606771 Batch=239, step=6240, lr=0.174250, batch loss=0.298890, epoch loss=0.905662 Batch=299, step=6300, lr=0.174000, batch loss=0.216316, epoch loss=1.121978 Batch=359, step=6360, lr=0.173750, batch loss=0.279145, epoch loss=1.401123 Batch=419, step=6420, lr=0.173500, batch loss=0.267050, epoch loss=1.668173 Batch=479, step=6480, lr=0.173250, batch loss=0.241550, epoch loss=1.909723 Batch=539, step=6540, lr=0.173000, batch loss=0.197055, epoch loss=2.106778 Batch=599, step=6600, lr=0.172750, batch loss=0.239999, epoch loss=2.346778 Batch=659, step=6660, lr=0.172500, batch loss=0.313804, epoch loss=2.660581 Batch=719, step=6720, lr=0.172250, batch loss=0.316655, epoch loss=2.977236 Batch=779, step=6780, lr=0.172000, batch loss=0.330474, epoch loss=3.307710 Batch=839, step=6840, lr=0.171750, batch loss=0.304862, epoch loss=3.612573 Batch=899, step=6900, lr=0.171500, batch loss=0.265711, epoch loss=3.878284 Batch=959, step=6960, lr=0.171250, batch loss=0.215811, epoch loss=4.094094 Batch=1019, step=7020, lr=0.171000, batch loss=0.324821, epoch loss=4.418916 Batch=1079, step=7080, lr=0.170750, batch loss=0.177445, epoch loss=4.596361 Batch=1139, step=7140, lr=0.170500, batch loss=0.213711, epoch loss=4.810072 Batch=1199, step=7200, lr=0.170250, batch loss=0.182724, epoch loss=4.992796 Epoch=5, step=7200, lr=0.170250, epoch loss=4.992796 Batch=59, step=7260, lr=0.170000, batch loss=0.240056, epoch loss=0.240056 Batch=119, step=7320, lr=0.169750, batch loss=0.180240, epoch loss=0.420296 Batch=179, step=7380, lr=0.169500, batch loss=0.194148, epoch loss=0.614444 Batch=239, step=7440, lr=0.169250, batch loss=0.290512, epoch loss=0.904957 Batch=299, step=7500, lr=0.169000, batch loss=0.207542, epoch loss=1.112498 Batch=359, step=7560, lr=0.168750, batch loss=0.261432, epoch loss=1.373930 Batch=419, step=7620, lr=0.168500, batch loss=0.253561, epoch loss=1.627491 Batch=479, step=7680, lr=0.168250, batch loss=0.232099, epoch loss=1.859590 Batch=539, step=7740, lr=0.168000, batch loss=0.193275, epoch loss=2.052866 Batch=599, step=7800, lr=0.167750, batch loss=0.225988, epoch loss=2.278854 Batch=659, step=7860, lr=0.167500, batch loss=0.305456, epoch loss=2.584310 Batch=719, step=7920, lr=0.167250, batch loss=0.308000, epoch loss=2.892310 Batch=779, step=7980, lr=0.167000, batch loss=0.330509, epoch loss=3.222819 Batch=839, step=8040, lr=0.166750, batch loss=0.291622, epoch loss=3.514442 Batch=899, step=8100, lr=0.166500, batch loss=0.261774, epoch loss=3.776216 Batch=959, step=8160, lr=0.166250, batch loss=0.199296, epoch loss=3.975511 Batch=1019, step=8220, lr=0.166000, batch loss=0.331360, epoch loss=4.306871 Batch=1079, step=8280, lr=0.165750, batch loss=0.191690, epoch loss=4.498561 Batch=1139, step=8340, lr=0.165500, batch loss=0.222645, epoch loss=4.721206 Batch=1199, step=8400, lr=0.165250, batch loss=0.173735, epoch loss=4.894941 Epoch=6, step=8400, lr=0.165250, epoch loss=4.894941 Batch=59, step=8460, lr=0.165000, batch loss=0.217087, epoch loss=0.217087 Batch=119, step=8520, lr=0.164750, batch loss=0.181986, epoch loss=0.399073 Batch=179, step=8580, lr=0.164500, batch loss=0.188786, epoch loss=0.587859 Batch=239, step=8640, lr=0.164250, batch loss=0.275936, epoch loss=0.863795 Batch=299, step=8700, lr=0.164000, batch loss=0.188563, epoch loss=1.052358 Batch=359, step=8760, lr=0.163750, batch loss=0.247900, epoch loss=1.300258 Batch=419, step=8820, lr=0.163500, batch loss=0.244414, epoch loss=1.544673 Batch=479, step=8880, lr=0.163250, batch loss=0.228718, epoch loss=1.773391 Batch=539, step=8940, lr=0.163000, batch loss=0.176973, epoch loss=1.950365 Batch=599, step=9000, lr=0.162750, batch loss=0.217675, epoch loss=2.168040 Batch=659, step=9060, lr=0.162500, batch loss=0.294548, epoch loss=2.462588 Batch=719, step=9120, lr=0.162250, batch loss=0.296679, epoch loss=2.759267 Batch=779, step=9180, lr=0.162000, batch loss=0.315207, epoch loss=3.074474 Batch=839, step=9240, lr=0.161750, batch loss=0.287604, epoch loss=3.362078 Batch=899, step=9300, lr=0.161500, batch loss=0.250640, epoch loss=3.612718 Batch=959, step=9360, lr=0.161250, batch loss=0.189920, epoch loss=3.802638 Batch=1019, step=9420, lr=0.161000, batch loss=0.315412, epoch loss=4.118050 Batch=1079, step=9480, lr=0.160750, batch loss=0.187921, epoch loss=4.305971 Batch=1139, step=9540, lr=0.160500, batch loss=0.211254, epoch loss=4.517225 Batch=1199, step=9600, lr=0.160250, batch loss=0.166688, epoch loss=4.683912 Epoch=7, step=9600, lr=0.160250, epoch loss=4.683912 Batch=59, step=9660, lr=0.160000, batch loss=0.199660, epoch loss=0.199660 Batch=119, step=9720, lr=0.159750, batch loss=0.163188, epoch loss=0.362847 Batch=179, step=9780, lr=0.159500, batch loss=0.178948, epoch loss=0.541795 Batch=239, step=9840, lr=0.159250, batch loss=0.260202, epoch loss=0.801997 Batch=299, step=9900, lr=0.159000, batch loss=0.180622, epoch loss=0.982619 Batch=359, step=9960, lr=0.158750, batch loss=0.241243, epoch loss=1.223862 Batch=419, step=10020, lr=0.158500, batch loss=0.231364, epoch loss=1.455226 Batch=479, step=10080, lr=0.158250, batch loss=0.214330, epoch loss=1.669556 Batch=539, step=10140, lr=0.158000, batch loss=0.169317, epoch loss=1.838873 Batch=599, step=10200, lr=0.157750, batch loss=0.202273, epoch loss=2.041145 Batch=659, step=10260, lr=0.157500, batch loss=0.280896, epoch loss=2.322041 Batch=719, step=10320, lr=0.157250, batch loss=0.279172, epoch loss=2.601213 Batch=779, step=10380, lr=0.157000, batch loss=0.297844, epoch loss=2.899058 Batch=839, step=10440, lr=0.156750, batch loss=0.271504, epoch loss=3.170562 Batch=899, step=10500, lr=0.156500, batch loss=0.237857, epoch loss=3.408419 Batch=959, step=10560, lr=0.156250, batch loss=0.199815, epoch loss=3.608234 Batch=1019, step=10620, lr=0.156000, batch loss=0.279067, epoch loss=3.887302 Batch=1079, step=10680, lr=0.155750, batch loss=0.166982, epoch loss=4.054284 Batch=1139, step=10740, lr=0.155500, batch loss=0.199825, epoch loss=4.254109 Batch=1199, step=10800, lr=0.155250, batch loss=0.153827, epoch loss=4.407936 Epoch=8, step=10800, lr=0.155250, epoch loss=4.407936 Batch=59, step=10860, lr=0.155000, batch loss=0.177567, epoch loss=0.177567 Batch=119, step=10920, lr=0.154750, batch loss=0.149703, epoch loss=0.327269 Batch=179, step=10980, lr=0.154500, batch loss=0.165932, epoch loss=0.493201 Batch=239, step=11040, lr=0.154250, batch loss=0.241156, epoch loss=0.734357 Batch=299, step=11100, lr=0.154000, batch loss=0.170601, epoch loss=0.904958 Batch=359, step=11160, lr=0.153750, batch loss=0.220735, epoch loss=1.125693 Batch=419, step=11220, lr=0.153500, batch loss=0.228782, epoch loss=1.354475 Batch=479, step=11280, lr=0.153250, batch loss=0.202567, epoch loss=1.557042 Batch=539, step=11340, lr=0.153000, batch loss=0.160060, epoch loss=1.717102 Batch=599, step=11400, lr=0.152750, batch loss=0.183847, epoch loss=1.900949 Batch=659, step=11460, lr=0.152500, batch loss=0.263434, epoch loss=2.164383 Batch=719, step=11520, lr=0.152250, batch loss=0.255348, epoch loss=2.419731 Batch=779, step=11580, lr=0.152000, batch loss=0.269510, epoch loss=2.689241 Batch=839, step=11640, lr=0.151750, batch loss=0.256608, epoch loss=2.945849 Batch=899, step=11700, lr=0.151500, batch loss=0.215574, epoch loss=3.161423 Batch=959, step=11760, lr=0.151250, batch loss=0.161577, epoch loss=3.323000 Batch=1019, step=11820, lr=0.151000, batch loss=0.257673, epoch loss=3.580672 Batch=1079, step=11880, lr=0.150750, batch loss=0.137267, epoch loss=3.717939 Batch=1139, step=11940, lr=0.150500, batch loss=0.169125, epoch loss=3.887064 Batch=1199, step=12000, lr=0.150250, batch loss=0.141126, epoch loss=4.028190 Epoch=9, step=12000, lr=0.150250, epoch loss=4.028190 Batch=59, step=12060, lr=0.150000, batch loss=0.175795, epoch loss=0.175795 Batch=119, step=12120, lr=0.149750, batch loss=0.147050, epoch loss=0.322845 Batch=179, step=12180, lr=0.149500, batch loss=0.150348, epoch loss=0.473193 Batch=239, step=12240, lr=0.149250, batch loss=0.216096, epoch loss=0.689289 Batch=299, step=12300, lr=0.149000, batch loss=0.145020, epoch loss=0.834309 Batch=359, step=12360, lr=0.148750, batch loss=0.193706, epoch loss=1.028015 Batch=419, step=12420, lr=0.148500, batch loss=0.193635, epoch loss=1.221650 Batch=479, step=12480, lr=0.148250, batch loss=0.177267, epoch loss=1.398917 Batch=539, step=12540, lr=0.148000, batch loss=0.143308, epoch loss=1.542225 Batch=599, step=12600, lr=0.147750, batch loss=0.148881, epoch loss=1.691106 Batch=659, step=12660, lr=0.147500, batch loss=0.225236, epoch loss=1.916342 Batch=719, step=12720, lr=0.147250, batch loss=0.228274, epoch loss=2.144616 Batch=779, step=12780, lr=0.147000, batch loss=0.257267, epoch loss=2.401884 Batch=839, step=12840, lr=0.146750, batch loss=0.235787, epoch loss=2.637671 Batch=899, step=12900, lr=0.146500, batch loss=0.241697, epoch loss=2.879368 Batch=959, step=12960, lr=0.146250, batch loss=0.137235, epoch loss=3.016604 Batch=1019, step=13020, lr=0.146000, batch loss=0.209685, epoch loss=3.226289 Batch=1079, step=13080, lr=0.145750, batch loss=0.117265, epoch loss=3.343554 Batch=1139, step=13140, lr=0.145500, batch loss=0.157278, epoch loss=3.500832 Batch=1199, step=13200, lr=0.145250, batch loss=0.117064, epoch loss=3.617896 Epoch=10, step=13200, lr=0.145250, epoch loss=3.617896 Batch=59, step=13260, lr=0.145000, batch loss=0.145143, epoch loss=0.145143 Batch=119, step=13320, lr=0.144750, batch loss=0.124530, epoch loss=0.269674 Batch=179, step=13380, lr=0.144500, batch loss=0.129218, epoch loss=0.398892 Batch=239, step=13440, lr=0.144250, batch loss=0.189044, epoch loss=0.587936 Batch=299, step=13500, lr=0.144000, batch loss=0.119787, epoch loss=0.707723 Batch=359, step=13560, lr=0.143750, batch loss=0.160429, epoch loss=0.868151 Batch=419, step=13620, lr=0.143500, batch loss=0.159272, epoch loss=1.027423 Batch=479, step=13680, lr=0.143250, batch loss=0.147701, epoch loss=1.175124 Batch=539, step=13740, lr=0.143000, batch loss=0.117436, epoch loss=1.292560 Batch=599, step=13800, lr=0.142750, batch loss=0.119286, epoch loss=1.411845 Batch=659, step=13860, lr=0.142500, batch loss=0.174426, epoch loss=1.586271 Batch=719, step=13920, lr=0.142250, batch loss=0.176205, epoch loss=1.762477 Batch=779, step=13980, lr=0.142000, batch loss=0.194752, epoch loss=1.957229 Batch=839, step=14040, lr=0.141750, batch loss=0.189344, epoch loss=2.146573 Batch=899, step=14100, lr=0.141500, batch loss=0.188025, epoch loss=2.334598 Batch=959, step=14160, lr=0.141250, batch loss=0.124222, epoch loss=2.458820 Batch=1019, step=14220, lr=0.141000, batch loss=0.220849, epoch loss=2.679668 Batch=1079, step=14280, lr=0.140750, batch loss=0.084323, epoch loss=2.763991 Batch=1139, step=14340, lr=0.140500, batch loss=0.139134, epoch loss=2.903125 Batch=1199, step=14400, lr=0.140250, batch loss=0.090614, epoch loss=2.993740 Epoch=11, step=14400, lr=0.140250, epoch loss=2.993740 Batch=59, step=14460, lr=0.140000, batch loss=0.121699, epoch loss=0.121699 Batch=119, step=14520, lr=0.139750, batch loss=0.120817, epoch loss=0.242517 Batch=179, step=14580, lr=0.139500, batch loss=0.109488, epoch loss=0.352004 Batch=239, step=14640, lr=0.139250, batch loss=0.137781, epoch loss=0.489785 Batch=299, step=14700, lr=0.139000, batch loss=0.080893, epoch loss=0.570678 Batch=359, step=14760, lr=0.138750, batch loss=0.128556, epoch loss=0.699235 Batch=419, step=14820, lr=0.138500, batch loss=0.139296, epoch loss=0.838531 Batch=479, step=14880, lr=0.138250, batch loss=0.090093, epoch loss=0.928625 Batch=539, step=14940, lr=0.138000, batch loss=0.088721, epoch loss=1.017346 Batch=599, step=15000, lr=0.137750, batch loss=0.083809, epoch loss=1.101155 Batch=659, step=15060, lr=0.137500, batch loss=0.136408, epoch loss=1.237563 Batch=719, step=15120, lr=0.137250, batch loss=0.173626, epoch loss=1.411189 Batch=779, step=15180, lr=0.137000, batch loss=0.325706, epoch loss=1.736896 Batch=839, step=15240, lr=0.136750, batch loss=0.134208, epoch loss=1.871103 Batch=899, step=15300, lr=0.136500, batch loss=0.109805, epoch loss=1.980908 Batch=959, step=15360, lr=0.136250, batch loss=0.101799, epoch loss=2.082707 Batch=1019, step=15420, lr=0.136000, batch loss=0.168967, epoch loss=2.251674 Batch=1079, step=15480, lr=0.135750, batch loss=0.037738, epoch loss=2.289413 Batch=1139, step=15540, lr=0.135500, batch loss=0.086263, epoch loss=2.375676 Batch=1199, step=15600, lr=0.135250, batch loss=0.054962, epoch loss=2.430638 Epoch=12, step=15600, lr=0.135250, epoch loss=2.430638 Batch=59, step=15660, lr=0.135000, batch loss=0.086809, epoch loss=0.086809 Batch=119, step=15720, lr=0.134750, batch loss=0.134830, epoch loss=0.221638 Batch=179, step=15780, lr=0.134500, batch loss=0.098190, epoch loss=0.319828 Batch=239, step=15840, lr=0.134250, batch loss=0.097269, epoch loss=0.417098 Batch=299, step=15900, lr=0.134000, batch loss=0.046469, epoch loss=0.463567 Batch=359, step=15960, lr=0.133750, batch loss=0.085605, epoch loss=0.549172 Batch=419, step=16020, lr=0.133500, batch loss=0.076498, epoch loss=0.625671 Batch=479, step=16080, lr=0.133250, batch loss=0.055002, epoch loss=0.680672 Batch=539, step=16140, lr=0.133000, batch loss=0.074142, epoch loss=0.754814 Batch=599, step=16200, lr=0.132750, batch loss=0.172564, epoch loss=0.927378 Batch=659, step=16260, lr=0.132500, batch loss=0.098659, epoch loss=1.026037 Batch=719, step=16320, lr=0.132250, batch loss=0.114772, epoch loss=1.140809 Batch=779, step=16380, lr=0.132000, batch loss=0.264973, epoch loss=1.405781 Batch=839, step=16440, lr=0.131750, batch loss=0.090023, epoch loss=1.495804 Batch=899, step=16500, lr=0.131500, batch loss=0.075106, epoch loss=1.570910 Batch=959, step=16560, lr=0.131250, batch loss=0.030854, epoch loss=1.601764 Batch=1019, step=16620, lr=0.131000, batch loss=0.058334, epoch loss=1.660098 Batch=1079, step=16680, lr=0.130750, batch loss=0.065219, epoch loss=1.725316 Batch=1139, step=16740, lr=0.130500, batch loss=0.123498, epoch loss=1.848814 Batch=1199, step=16800, lr=0.130250, batch loss=0.054557, epoch loss=1.903371 Epoch=13, step=16800, lr=0.130250, epoch loss=1.903371 Batch=59, step=16860, lr=0.130000, batch loss=0.034943, epoch loss=0.034943 Batch=119, step=16920, lr=0.129750, batch loss=0.034559, epoch loss=0.069502 Batch=179, step=16980, lr=0.129500, batch loss=0.044846, epoch loss=0.114348 Batch=239, step=17040, lr=0.129250, batch loss=0.059960, epoch loss=0.174307 Batch=299, step=17100, lr=0.129000, batch loss=0.020039, epoch loss=0.194346 Batch=359, step=17160, lr=0.128750, batch loss=0.044025, epoch loss=0.238371 Batch=419, step=17220, lr=0.128500, batch loss=0.047752, epoch loss=0.286123 Batch=479, step=17280, lr=0.128250, batch loss=0.033778, epoch loss=0.319900 Batch=539, step=17340, lr=0.128000, batch loss=0.062598, epoch loss=0.382498 Batch=599, step=17400, lr=0.127750, batch loss=0.035926, epoch loss=0.418425 Batch=659, step=17460, lr=0.127500, batch loss=0.048056, epoch loss=0.466481 Batch=719, step=17520, lr=0.127250, batch loss=0.039158, epoch loss=0.505638 Batch=779, step=17580, lr=0.127000, batch loss=0.040698, epoch loss=0.546337 Batch=839, step=17640, lr=0.126750, batch loss=0.059362, epoch loss=0.605699 Batch=899, step=17700, lr=0.126500, batch loss=0.061697, epoch loss=0.667396 Batch=959, step=17760, lr=0.126250, batch loss=0.032241, epoch loss=0.699637 Batch=1019, step=17820, lr=0.126000, batch loss=0.087182, epoch loss=0.786818 Batch=1079, step=17880, lr=0.125750, batch loss=0.020060, epoch loss=0.806879 Batch=1139, step=17940, lr=0.125500, batch loss=0.040755, epoch loss=0.847634 Batch=1199, step=18000, lr=0.125250, batch loss=0.015314, epoch loss=0.862948 Epoch=14, step=18000, lr=0.125250, epoch loss=0.862948 Batch=59, step=18060, lr=0.125000, batch loss=0.012099, epoch loss=0.012099 Batch=119, step=18120, lr=0.124750, batch loss=0.018584, epoch loss=0.030683 Batch=179, step=18180, lr=0.124500, batch loss=0.030711, epoch loss=0.061394 Batch=239, step=18240, lr=0.124250, batch loss=0.038948, epoch loss=0.100341 Batch=299, step=18300, lr=0.124000, batch loss=0.021476, epoch loss=0.121817 Batch=359, step=18360, lr=0.123750, batch loss=0.023498, epoch loss=0.145316 Batch=419, step=18420, lr=0.123500, batch loss=0.029274, epoch loss=0.174590 Batch=479, step=18480, lr=0.123250, batch loss=0.019981, epoch loss=0.194570 Batch=539, step=18540, lr=0.123000, batch loss=0.050706, epoch loss=0.245276 Batch=599, step=18600, lr=0.122750, batch loss=0.027246, epoch loss=0.272522 Batch=659, step=18660, lr=0.122500, batch loss=0.034714, epoch loss=0.307236 Batch=719, step=18720, lr=0.122250, batch loss=0.031844, epoch loss=0.339079 Batch=779, step=18780, lr=0.122000, batch loss=0.087558, epoch loss=0.426637 Batch=839, step=18840, lr=0.121750, batch loss=0.079830, epoch loss=0.506467 Batch=899, step=18900, lr=0.121500, batch loss=0.103204, epoch loss=0.609672 Batch=959, step=18960, lr=0.121250, batch loss=0.016803, epoch loss=0.626475 Batch=1019, step=19020, lr=0.121000, batch loss=0.021478, epoch loss=0.647954 Batch=1079, step=19080, lr=0.120750, batch loss=0.006932, epoch loss=0.654886 Batch=1139, step=19140, lr=0.120500, batch loss=0.024539, epoch loss=0.679425 Batch=1199, step=19200, lr=0.120250, batch loss=0.011000, epoch loss=0.690425 Epoch=15, step=19200, lr=0.120250, epoch loss=0.690425 Batch=59, step=19260, lr=0.120000, batch loss=0.005233, epoch loss=0.005233 Batch=119, step=19320, lr=0.119750, batch loss=0.015913, epoch loss=0.021146 Batch=179, step=19380, lr=0.119500, batch loss=0.031822, epoch loss=0.052968 Batch=239, step=19440, lr=0.119250, batch loss=0.022666, epoch loss=0.075634 Batch=299, step=19500, lr=0.119000, batch loss=0.005438, epoch loss=0.081072 Batch=359, step=19560, lr=0.118750, batch loss=0.016597, epoch loss=0.097670 Batch=419, step=19620, lr=0.118500, batch loss=0.020131, epoch loss=0.117800 Batch=479, step=19680, lr=0.118250, batch loss=0.007313, epoch loss=0.125113 Batch=539, step=19740, lr=0.118000, batch loss=0.016325, epoch loss=0.141438 Batch=599, step=19800, lr=0.117750, batch loss=0.023336, epoch loss=0.164774 Batch=659, step=19860, lr=0.117500, batch loss=0.018982, epoch loss=0.183756 Batch=719, step=19920, lr=0.117250, batch loss=0.051612, epoch loss=0.235368 Batch=779, step=19980, lr=0.117000, batch loss=0.075219, epoch loss=0.310587 Batch=839, step=20040, lr=0.116750, batch loss=0.031826, epoch loss=0.342413 Batch=899, step=20100, lr=0.116500, batch loss=0.029406, epoch loss=0.371820 Batch=959, step=20160, lr=0.116250, batch loss=0.016559, epoch loss=0.388379 Batch=1019, step=20220, lr=0.116000, batch loss=0.017423, epoch loss=0.405802 Batch=1079, step=20280, lr=0.115750, batch loss=0.002970, epoch loss=0.408772 Batch=1139, step=20340, lr=0.115500, batch loss=0.014914, epoch loss=0.423687 Batch=1199, step=20400, lr=0.115250, batch loss=0.006045, epoch loss=0.429732 Epoch=16, step=20400, lr=0.115250, epoch loss=0.429732 Batch=59, step=20460, lr=0.115000, batch loss=0.002897, epoch loss=0.002897 Batch=119, step=20520, lr=0.114750, batch loss=0.009784, epoch loss=0.012681 Batch=179, step=20580, lr=0.114500, batch loss=0.026049, epoch loss=0.038730 Batch=239, step=20640, lr=0.114250, batch loss=0.014717, epoch loss=0.053448 Batch=299, step=20700, lr=0.114000, batch loss=0.002537, epoch loss=0.055985 Batch=359, step=20760, lr=0.113750, batch loss=0.012914, epoch loss=0.068899 Batch=419, step=20820, lr=0.113500, batch loss=0.016467, epoch loss=0.085366 Batch=479, step=20880, lr=0.113250, batch loss=0.005154, epoch loss=0.090520 Batch=539, step=20940, lr=0.113000, batch loss=0.015611, epoch loss=0.106131 Batch=599, step=21000, lr=0.112750, batch loss=0.018244, epoch loss=0.124376 Batch=659, step=21060, lr=0.112500, batch loss=0.014493, epoch loss=0.138868 Batch=719, step=21120, lr=0.112250, batch loss=0.044438, epoch loss=0.183306 Batch=779, step=21180, lr=0.112000, batch loss=0.070339, epoch loss=0.253645 Batch=839, step=21240, lr=0.111750, batch loss=0.025787, epoch loss=0.279433 Batch=899, step=21300, lr=0.111500, batch loss=0.028561, epoch loss=0.307994 Batch=959, step=21360, lr=0.111250, batch loss=0.009864, epoch loss=0.317857 Batch=1019, step=21420, lr=0.111000, batch loss=0.011364, epoch loss=0.329222 Batch=1079, step=21480, lr=0.110750, batch loss=0.000858, epoch loss=0.330080 Batch=1139, step=21540, lr=0.110500, batch loss=0.013054, epoch loss=0.343133 Batch=1199, step=21600, lr=0.110250, batch loss=0.005120, epoch loss=0.348254 Epoch=17, step=21600, lr=0.110250, epoch loss=0.348254 Batch=59, step=21660, lr=0.110000, batch loss=0.002321, epoch loss=0.002321 Batch=119, step=21720, lr=0.109750, batch loss=0.006463, epoch loss=0.008784 Batch=179, step=21780, lr=0.109500, batch loss=0.012652, epoch loss=0.021436 Batch=239, step=21840, lr=0.109250, batch loss=0.009722, epoch loss=0.031158 Batch=299, step=21900, lr=0.109000, batch loss=0.010407, epoch loss=0.041565 Batch=359, step=21960, lr=0.108750, batch loss=0.014140, epoch loss=0.055705 Batch=419, step=22020, lr=0.108500, batch loss=0.013026, epoch loss=0.068732 Batch=479, step=22080, lr=0.108250, batch loss=0.003822, epoch loss=0.072554 Batch=539, step=22140, lr=0.108000, batch loss=0.014566, epoch loss=0.087120 Batch=599, step=22200, lr=0.107750, batch loss=0.015872, epoch loss=0.102992 Batch=659, step=22260, lr=0.107500, batch loss=0.014687, epoch loss=0.117678 Batch=719, step=22320, lr=0.107250, batch loss=0.028975, epoch loss=0.146653 Batch=779, step=22380, lr=0.107000, batch loss=0.035170, epoch loss=0.181823 Batch=839, step=22440, lr=0.106750, batch loss=0.025613, epoch loss=0.207436 Batch=899, step=22500, lr=0.106500, batch loss=0.026965, epoch loss=0.234402 Batch=959, step=22560, lr=0.106250, batch loss=0.009034, epoch loss=0.243436 Batch=1019, step=22620, lr=0.106000, batch loss=0.008820, epoch loss=0.252255 Batch=1079, step=22680, lr=0.105750, batch loss=0.000462, epoch loss=0.252717 Batch=1139, step=22740, lr=0.105500, batch loss=0.010598, epoch loss=0.263315 Batch=1199, step=22800, lr=0.105250, batch loss=0.004548, epoch loss=0.267863 Epoch=18, step=22800, lr=0.105250, epoch loss=0.267863 Batch=59, step=22860, lr=0.105000, batch loss=0.001640, epoch loss=0.001640 Batch=119, step=22920, lr=0.104750, batch loss=0.005387, epoch loss=0.007027 Batch=179, step=22980, lr=0.104500, batch loss=0.010980, epoch loss=0.018007 Batch=239, step=23040, lr=0.104250, batch loss=0.011082, epoch loss=0.029089 Batch=299, step=23100, lr=0.104000, batch loss=0.009045, epoch loss=0.038134 Batch=359, step=23160, lr=0.103750, batch loss=0.010840, epoch loss=0.048975 Batch=419, step=23220, lr=0.103500, batch loss=0.010793, epoch loss=0.059768 Batch=479, step=23280, lr=0.103250, batch loss=0.003855, epoch loss=0.063623 Batch=539, step=23340, lr=0.103000, batch loss=0.014215, epoch loss=0.077838 Batch=599, step=23400, lr=0.102750, batch loss=0.014365, epoch loss=0.092203 Batch=659, step=23460, lr=0.102500, batch loss=0.014338, epoch loss=0.106541 Batch=719, step=23520, lr=0.102250, batch loss=0.018615, epoch loss=0.125156 Batch=779, step=23580, lr=0.102000, batch loss=0.019138, epoch loss=0.144294 Batch=839, step=23640, lr=0.101750, batch loss=0.029512, epoch loss=0.173806 Batch=899, step=23700, lr=0.101500, batch loss=0.020675, epoch loss=0.194481 Batch=959, step=23760, lr=0.101250, batch loss=0.009046, epoch loss=0.203527 Batch=1019, step=23820, lr=0.101000, batch loss=0.007416, epoch loss=0.210943 Batch=1079, step=23880, lr=0.100750, batch loss=0.000963, epoch loss=0.211906 Batch=1139, step=23940, lr=0.100500, batch loss=0.008718, epoch loss=0.220624 Batch=1199, step=24000, lr=0.100250, batch loss=0.004367, epoch loss=0.224991 Epoch=19, step=24000, lr=0.100250, epoch loss=0.224991 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#***********************************....│ │*******######**##**********************************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########**************************........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######***********.........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*******************........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###*************.............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%..............********#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-04-07 20:32.30 ---> saved as "ec41b4523394eaf2a124c2261324743bd4e60fe34bf7f5d7f86b57849a062795" Job succeeded 2025-04-07 20:32.31: Job succeeded