2025-05-09 13:10.43: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (a68de5ebb7906aa5c1a5b7b2cfccfe9879c5ca5d) (linux-x86_64:alpine-3.21-5.3_opam-2.3) Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:e2ee63eda00d030de85e2df8292477e3b768ff41108d47f21b9146fd8250d962 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard a68de5eb cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:e2ee63eda00d030de85e2df8292477e3b768ff41108d47f21b9146fd8250d962 # alpine-3.21-5.3_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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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.v0.17.2 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.3.18.2 dune-configurator.3.18.2 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 2025-05-09 13:10.43: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:e2ee63eda00d030de85e2df8292477e3b768ff41108d47f21b9146fd8250d962-alpine-3.21-5.3_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc" 2025-05-09 13:10.43: Using OBuilder spec: ((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:e2ee63eda00d030de85e2df8292477e3b768ff41108d47f21b9146fd8250d962) (comment alpine-3.21-5.3_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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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.v0.17.2 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.3.18.2 dune-configurator.3.18.2 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")) ) 2025-05-09 13:10.43: Waiting for resource in pool OCluster 2025-05-09 13:10.43: Waiting for worker… 2025-05-09 13:10.43: Got resource from pool OCluster Building on asteria.caelum.ci.dev HEAD is now at e847d841 Fix overlooked metal pinned dependency HEAD is now at a68de5eb Formatting (from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:e2ee63eda00d030de85e2df8292477e3b768ff41108d47f21b9146fd8250d962) 2025-05-09 13:10.44 ---> using "f154ab12a6d575cd956c81477efd0302c0ef4dccea7e9c1952fd02140b057756" from cache /: (comment alpine-3.21-5.3_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")) 2025-05-09 13:10.44 ---> using "6310931d2bf5fef99ec3c0d979621049ed21e3351bd07029cd06bddb57173709" 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 Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-09 13:10.44 ---> using "675c7208637c697a7a3366c064d560f88c87ccaec86349f5914d7ac40053bae7" 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 2025-05-09 13:10.44 ---> using "6021679194ffece7289cd5c5b221b2f3071db6c856a010fda1808be99b3a5c12" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-09 13:10.45 ---> using "91e9c49728c8d128b944322e480ab1d9f5be9d0ae301c2ee057902eeb7ca9559" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD da74d7829f..e28c86445c master -> origin/master 997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+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) 2025-05-09 13:10.45 ---> using "51888d037c9675ad285c6f5a848dd1a42259a464610778c5b4536c5ef63eff86" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-09 13:10.45 ---> using "de001837541ad7d214f8939012d3b4faa6f14ddfe64705dd4ec95c45b64de330" 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) 2025-05-09 13:10.45 ---> using "416ff8eacf6a1880f8d8253a54cc85444b5bba5afca0f583900d49c2004705f8" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-09 13:10.45 ---> using "ac8b8bf2b5a98120c2d60c29184602e7589875f9ca39ea26192783f8a0f1e752" from cache /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 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.3.18.2 dune-configurator.3.18.2 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 "apk" "update" - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz - fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz - v3.21.3-452-gee5ce66b724 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main] - v3.21.3-459-gb091f834ac8 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community] - v20250108-7778-g00577f87725 [https://dl-cdn.alpinelinux.org/alpine/edge/main] - v20250108-7443-g8323c36c8cb [https://dl-cdn.alpinelinux.org/alpine/edge/community] - v20250108-7443-g8323c36c8cb [https://dl-cdn.alpinelinux.org/alpine/edge/testing] - OK: 58155 distinct packages available <><> 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 <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apk" "add" "libffi-dev" - (1/2) Installing linux-headers (6.6-r1) - (2/2) Installing libffi-dev (3.4.7-r0) - OK: 312 MiB in 104 packages 2025-05-09 13:10.45 ---> using "f9f03a7a121e0d923fd5b471ca89a4a497a822abf7f75b584e6fd3c406b5e664" 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 v0.17.2 - 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 3.18.2 - install dune-configurator 3.18.2 - 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 bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (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 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 mdx.2.5.0 (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-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (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_fields_conv.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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_minidebug.2.2.0 (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 result.1.5 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed 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.3.18.2 -> 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.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.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 ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_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.2.2.0 -> 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) 2025-05-09 13:10.45 ---> using "656d70ee67c6b2615b09150c0b61326d63fa0e071aad3cce442b9a9642071ed3" from cache /src: (copy (src .) (dst /src)) 2025-05-09 13:10.45 ---> saved as "952031afb610cd788ba70c0b1c89410c3f9e8f20fbe7b47bc17d81a80b3c42e3" /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/024793de964f7c9ba4abe9edc48d50e9/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/024793de964f7c9ba4abe9edc48d50e9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/024793de964f7c9ba4abe9edc48d50e9/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0404a487fffcfc0e2b324ec31af886f/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/024793de964f7c9ba4abe9edc48d50e9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/024793de964f7c9ba4abe9edc48d50e9/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/024793de964f7c9ba4abe9edc48d50e9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/024793de964f7c9ba4abe9edc48d50e9/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/024793de964f7c9ba4abe9edc48d50e9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/024793de964f7c9ba4abe9edc48d50e9/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/024793de964f7c9ba4abe9edc48d50e9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/024793de964f7c9ba4abe9edc48d50e9/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/024793de964f7c9ba4abe9edc48d50e9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/024793de964f7c9ba4abe9edc48d50e9/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/024793de964f7c9ba4abe9edc48d50e9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/024793de964f7c9ba4abe9edc48d50e9/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/024793de964f7c9ba4abe9edc48d50e9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/024793de964f7c9ba4abe9edc48d50e9/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/024793de964f7c9ba4abe9edc48d50e9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/024793de964f7c9ba4abe9edc48d50e9/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/024793de964f7c9ba4abe9edc48d50e9/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=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689 Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495 Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314 Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518 Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460 Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885 Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660 Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955 Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988 Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087 Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829 Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103 Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725 Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742 Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559 Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762 Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755 Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388 Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988 Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580 Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712 Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101 Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915 Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348 Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075 Batch=839, step=9240, lr=0.161750, batch loss=0.287243, epoch loss=3.376318 Batch=899, step=9300, lr=0.161500, batch loss=0.251060, epoch loss=3.627378 Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817911 Batch=1019, step=9420, lr=0.161000, batch loss=0.311728, epoch loss=4.129639 Batch=1079, step=9480, lr=0.160750, batch loss=0.191595, epoch loss=4.321234 Batch=1139, step=9540, lr=0.160500, batch loss=0.215772, epoch loss=4.537006 Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702626 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702626 Batch=59, step=9660, lr=0.160000, batch loss=0.197217, epoch loss=0.197217 Batch=119, step=9720, lr=0.159750, batch loss=0.165467, epoch loss=0.362684 Batch=179, step=9780, lr=0.159500, batch loss=0.179286, epoch loss=0.541970 Batch=239, step=9840, lr=0.159250, batch loss=0.263837, epoch loss=0.805807 Batch=299, step=9900, lr=0.159000, batch loss=0.182187, epoch loss=0.987994 Batch=359, step=9960, lr=0.158750, batch loss=0.240842, epoch loss=1.228836 Batch=419, step=10020, lr=0.158500, batch loss=0.232979, epoch loss=1.461815 Batch=479, step=10080, lr=0.158250, batch loss=0.213194, epoch loss=1.675009 Batch=539, step=10140, lr=0.158000, batch loss=0.170694, epoch loss=1.845703 Batch=599, step=10200, lr=0.157750, batch loss=0.200247, epoch loss=2.045950 Batch=659, step=10260, lr=0.157500, batch loss=0.283032, epoch loss=2.328982 Batch=719, step=10320, lr=0.157250, batch loss=0.288754, epoch loss=2.617735 Batch=779, step=10380, lr=0.157000, batch loss=0.296880, epoch loss=2.914615 Batch=839, step=10440, lr=0.156750, batch loss=0.267657, epoch loss=3.182272 Batch=899, step=10500, lr=0.156500, batch loss=0.242699, epoch loss=3.424972 Batch=959, step=10560, lr=0.156250, batch loss=0.198668, epoch loss=3.623639 Batch=1019, step=10620, lr=0.156000, batch loss=0.295119, epoch loss=3.918758 Batch=1079, step=10680, lr=0.155750, batch loss=0.178662, epoch loss=4.097421 Batch=1139, step=10740, lr=0.155500, batch loss=0.205425, epoch loss=4.302846 Batch=1199, step=10800, lr=0.155250, batch loss=0.156138, epoch loss=4.458984 Epoch=8, step=10800, lr=0.155250, epoch loss=4.458984 Batch=59, step=10860, lr=0.155000, batch loss=0.177430, epoch loss=0.177430 Batch=119, step=10920, lr=0.154750, batch loss=0.152366, epoch loss=0.329795 Batch=179, step=10980, lr=0.154500, batch loss=0.167114, epoch loss=0.496909 Batch=239, step=11040, lr=0.154250, batch loss=0.242622, epoch loss=0.739531 Batch=299, step=11100, lr=0.154000, batch loss=0.169984, epoch loss=0.909515 Batch=359, step=11160, lr=0.153750, batch loss=0.222140, epoch loss=1.131654 Batch=419, step=11220, lr=0.153500, batch loss=0.229250, epoch loss=1.360905 Batch=479, step=11280, lr=0.153250, batch loss=0.202871, epoch loss=1.563775 Batch=539, step=11340, lr=0.153000, batch loss=0.159118, epoch loss=1.722894 Batch=599, step=11400, lr=0.152750, batch loss=0.178498, epoch loss=1.901392 Batch=659, step=11460, lr=0.152500, batch loss=0.264724, epoch loss=2.166116 Batch=719, step=11520, lr=0.152250, batch loss=0.256959, epoch loss=2.423075 Batch=779, step=11580, lr=0.152000, batch loss=0.273281, epoch loss=2.696355 Batch=839, step=11640, lr=0.151750, batch loss=0.255783, epoch loss=2.952138 Batch=899, step=11700, lr=0.151500, batch loss=0.212942, epoch loss=3.165080 Batch=959, step=11760, lr=0.151250, batch loss=0.168195, epoch loss=3.333275 Batch=1019, step=11820, lr=0.151000, batch loss=0.266032, epoch loss=3.599307 Batch=1079, step=11880, lr=0.150750, batch loss=0.149776, epoch loss=3.749083 Batch=1139, step=11940, lr=0.150500, batch loss=0.185522, epoch loss=3.934605 Batch=1199, step=12000, lr=0.150250, batch loss=0.139483, epoch loss=4.074088 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074088 Batch=59, step=12060, lr=0.150000, batch loss=0.158027, epoch loss=0.158027 Batch=119, step=12120, lr=0.149750, batch loss=0.128834, epoch loss=0.286861 Batch=179, step=12180, lr=0.149500, batch loss=0.150389, epoch loss=0.437250 Batch=239, step=12240, lr=0.149250, batch loss=0.223284, epoch loss=0.660534 Batch=299, step=12300, lr=0.149000, batch loss=0.142595, epoch loss=0.803130 Batch=359, step=12360, lr=0.148750, batch loss=0.195474, epoch loss=0.998603 Batch=419, step=12420, lr=0.148500, batch loss=0.206189, epoch loss=1.204793 Batch=479, step=12480, lr=0.148250, batch loss=0.178781, epoch loss=1.383574 Batch=539, step=12540, lr=0.148000, batch loss=0.142576, epoch loss=1.526150 Batch=599, step=12600, lr=0.147750, batch loss=0.150450, epoch loss=1.676600 Batch=659, step=12660, lr=0.147500, batch loss=0.224849, epoch loss=1.901449 Batch=719, step=12720, lr=0.147250, batch loss=0.235381, epoch loss=2.136830 Batch=779, step=12780, lr=0.147000, batch loss=0.252610, epoch loss=2.389441 Batch=839, step=12840, lr=0.146750, batch loss=0.225004, epoch loss=2.614445 Batch=899, step=12900, lr=0.146500, batch loss=0.185276, epoch loss=2.799721 Batch=959, step=12960, lr=0.146250, batch loss=0.149057, epoch loss=2.948777 Batch=1019, step=13020, lr=0.146000, batch loss=0.267918, epoch loss=3.216695 Batch=1079, step=13080, lr=0.145750, batch loss=0.115425, epoch loss=3.332120 Batch=1139, step=13140, lr=0.145500, batch loss=0.155344, epoch loss=3.487464 Batch=1199, step=13200, lr=0.145250, batch loss=0.118495, epoch loss=3.605959 Epoch=10, step=13200, lr=0.145250, epoch loss=3.605959 Batch=59, step=13260, lr=0.145000, batch loss=0.143436, epoch loss=0.143436 Batch=119, step=13320, lr=0.144750, batch loss=0.119649, epoch loss=0.263085 Batch=179, step=13380, lr=0.144500, batch loss=0.127185, epoch loss=0.390270 Batch=239, step=13440, lr=0.144250, batch loss=0.186827, epoch loss=0.577097 Batch=299, step=13500, lr=0.144000, batch loss=0.112687, epoch loss=0.689784 Batch=359, step=13560, lr=0.143750, batch loss=0.161652, epoch loss=0.851436 Batch=419, step=13620, lr=0.143500, batch loss=0.160664, epoch loss=1.012101 Batch=479, step=13680, lr=0.143250, batch loss=0.147468, epoch loss=1.159569 Batch=539, step=13740, lr=0.143000, batch loss=0.118071, epoch loss=1.277640 Batch=599, step=13800, lr=0.142750, batch loss=0.120059, epoch loss=1.397699 Batch=659, step=13860, lr=0.142500, batch loss=0.175818, epoch loss=1.573518 Batch=719, step=13920, lr=0.142250, batch loss=0.172357, epoch loss=1.745874 Batch=779, step=13980, lr=0.142000, batch loss=0.178508, epoch loss=1.924382 Batch=839, step=14040, lr=0.141750, batch loss=0.185974, epoch loss=2.110357 Batch=899, step=14100, lr=0.141500, batch loss=0.178106, epoch loss=2.288463 Batch=959, step=14160, lr=0.141250, batch loss=0.146433, epoch loss=2.434896 Batch=1019, step=14220, lr=0.141000, batch loss=0.329970, epoch loss=2.764867 Batch=1079, step=14280, lr=0.140750, batch loss=0.082738, epoch loss=2.847604 Batch=1139, step=14340, lr=0.140500, batch loss=0.122232, epoch loss=2.969836 Batch=1199, step=14400, lr=0.140250, batch loss=0.091701, epoch loss=3.061537 Epoch=11, step=14400, lr=0.140250, epoch loss=3.061537 Batch=59, step=14460, lr=0.140000, batch loss=0.112924, epoch loss=0.112924 Batch=119, step=14520, lr=0.139750, batch loss=0.102689, epoch loss=0.215612 Batch=179, step=14580, lr=0.139500, batch loss=0.106388, epoch loss=0.322000 Batch=239, step=14640, lr=0.139250, batch loss=0.140570, epoch loss=0.462571 Batch=299, step=14700, lr=0.139000, batch loss=0.080930, epoch loss=0.543500 Batch=359, step=14760, lr=0.138750, batch loss=0.125428, epoch loss=0.668928 Batch=419, step=14820, lr=0.138500, batch loss=0.129207, epoch loss=0.798135 Batch=479, step=14880, lr=0.138250, batch loss=0.101530, epoch loss=0.899665 Batch=539, step=14940, lr=0.138000, batch loss=0.090679, epoch loss=0.990344 Batch=599, step=15000, lr=0.137750, batch loss=0.084902, epoch loss=1.075246 Batch=659, step=15060, lr=0.137500, batch loss=0.129077, epoch loss=1.204323 Batch=719, step=15120, lr=0.137250, batch loss=0.121366, epoch loss=1.325689 Batch=779, step=15180, lr=0.137000, batch loss=0.134335, epoch loss=1.460024 Batch=839, step=15240, lr=0.136750, batch loss=0.174882, epoch loss=1.634906 Batch=899, step=15300, lr=0.136500, batch loss=0.294199, epoch loss=1.929105 Batch=959, step=15360, lr=0.136250, batch loss=0.059187, epoch loss=1.988293 Batch=1019, step=15420, lr=0.136000, batch loss=0.136122, epoch loss=2.124414 Batch=1079, step=15480, lr=0.135750, batch loss=0.049794, epoch loss=2.174209 Batch=1139, step=15540, lr=0.135500, batch loss=0.106083, epoch loss=2.280292 Batch=1199, step=15600, lr=0.135250, batch loss=0.062137, epoch loss=2.342429 Epoch=12, step=15600, lr=0.135250, epoch loss=2.342429 Batch=59, step=15660, lr=0.135000, batch loss=0.077452, epoch loss=0.077452 Batch=119, step=15720, lr=0.134750, batch loss=0.100599, epoch loss=0.178050 Batch=179, step=15780, lr=0.134500, batch loss=0.088174, epoch loss=0.266224 Batch=239, step=15840, lr=0.134250, batch loss=0.090842, epoch loss=0.357067 Batch=299, step=15900, lr=0.134000, batch loss=0.041447, epoch loss=0.398514 Batch=359, step=15960, lr=0.133750, batch loss=0.077481, epoch loss=0.475994 Batch=419, step=16020, lr=0.133500, batch loss=0.083963, epoch loss=0.559957 Batch=479, step=16080, lr=0.133250, batch loss=0.076759, epoch loss=0.636716 Batch=539, step=16140, lr=0.133000, batch loss=0.052804, epoch loss=0.689520 Batch=599, step=16200, lr=0.132750, batch loss=0.097482, epoch loss=0.787003 Batch=659, step=16260, lr=0.132500, batch loss=0.075918, epoch loss=0.862921 Batch=719, step=16320, lr=0.132250, batch loss=0.080522, epoch loss=0.943443 Batch=779, step=16380, lr=0.132000, batch loss=0.103355, epoch loss=1.046798 Batch=839, step=16440, lr=0.131750, batch loss=0.125720, epoch loss=1.172517 Batch=899, step=16500, lr=0.131500, batch loss=0.154837, epoch loss=1.327355 Batch=959, step=16560, lr=0.131250, batch loss=0.044182, epoch loss=1.371536 Batch=1019, step=16620, lr=0.131000, batch loss=0.101953, epoch loss=1.473489 Batch=1079, step=16680, lr=0.130750, batch loss=0.027883, epoch loss=1.501372 Batch=1139, step=16740, lr=0.130500, batch loss=0.057510, epoch loss=1.558883 Batch=1199, step=16800, lr=0.130250, batch loss=0.030008, epoch loss=1.588891 Epoch=13, step=16800, lr=0.130250, epoch loss=1.588891 Batch=59, step=16860, lr=0.130000, batch loss=0.039211, epoch loss=0.039211 Batch=119, step=16920, lr=0.129750, batch loss=0.053098, epoch loss=0.092309 Batch=179, step=16980, lr=0.129500, batch loss=0.051443, epoch loss=0.143753 Batch=239, step=17040, lr=0.129250, batch loss=0.065421, epoch loss=0.209173 Batch=299, step=17100, lr=0.129000, batch loss=0.033454, epoch loss=0.242627 Batch=359, step=17160, lr=0.128750, batch loss=0.050520, epoch loss=0.293148 Batch=419, step=17220, lr=0.128500, batch loss=0.089225, epoch loss=0.382373 Batch=479, step=17280, lr=0.128250, batch loss=0.022977, epoch loss=0.405350 Batch=539, step=17340, lr=0.128000, batch loss=0.026243, epoch loss=0.431593 Batch=599, step=17400, lr=0.127750, batch loss=0.038758, epoch loss=0.470351 Batch=659, step=17460, lr=0.127500, batch loss=0.050227, epoch loss=0.520578 Batch=719, step=17520, lr=0.127250, batch loss=0.060510, epoch loss=0.581088 Batch=779, step=17580, lr=0.127000, batch loss=0.061207, epoch loss=0.642295 Batch=839, step=17640, lr=0.126750, batch loss=0.085610, epoch loss=0.727905 Batch=899, step=17700, lr=0.126500, batch loss=0.052295, epoch loss=0.780200 Batch=959, step=17760, lr=0.126250, batch loss=0.018304, epoch loss=0.798504 Batch=1019, step=17820, lr=0.126000, batch loss=0.026868, epoch loss=0.825372 Batch=1079, step=17880, lr=0.125750, batch loss=0.019160, epoch loss=0.844532 Batch=1139, step=17940, lr=0.125500, batch loss=0.044057, epoch loss=0.888588 Batch=1199, step=18000, lr=0.125250, batch loss=0.016336, epoch loss=0.904924 Epoch=14, step=18000, lr=0.125250, epoch loss=0.904924 Batch=59, step=18060, lr=0.125000, batch loss=0.012244, epoch loss=0.012244 Batch=119, step=18120, lr=0.124750, batch loss=0.023180, epoch loss=0.035425 Batch=179, step=18180, lr=0.124500, batch loss=0.028546, epoch loss=0.063971 Batch=239, step=18240, lr=0.124250, batch loss=0.032382, epoch loss=0.096353 Batch=299, step=18300, lr=0.124000, batch loss=0.008612, epoch loss=0.104965 Batch=359, step=18360, lr=0.123750, batch loss=0.022888, epoch loss=0.127853 Batch=419, step=18420, lr=0.123500, batch loss=0.031617, epoch loss=0.159470 Batch=479, step=18480, lr=0.123250, batch loss=0.027580, epoch loss=0.187050 Batch=539, step=18540, lr=0.123000, batch loss=0.052951, epoch loss=0.240001 Batch=599, step=18600, lr=0.122750, batch loss=0.026499, epoch loss=0.266500 Batch=659, step=18660, lr=0.122500, batch loss=0.033918, epoch loss=0.300417 Batch=719, step=18720, lr=0.122250, batch loss=0.026719, epoch loss=0.327136 Batch=779, step=18780, lr=0.122000, batch loss=0.071955, epoch loss=0.399091 Batch=839, step=18840, lr=0.121750, batch loss=0.048072, epoch loss=0.447163 Batch=899, step=18900, lr=0.121500, batch loss=0.049104, epoch loss=0.496267 Batch=959, step=18960, lr=0.121250, batch loss=0.015382, epoch loss=0.511649 Batch=1019, step=19020, lr=0.121000, batch loss=0.024065, epoch loss=0.535715 Batch=1079, step=19080, lr=0.120750, batch loss=0.010568, epoch loss=0.546283 Batch=1139, step=19140, lr=0.120500, batch loss=0.023562, epoch loss=0.569845 Batch=1199, step=19200, lr=0.120250, batch loss=0.009264, epoch loss=0.579108 Epoch=15, step=19200, lr=0.120250, epoch loss=0.579108 Batch=59, step=19260, lr=0.120000, batch loss=0.005289, epoch loss=0.005289 Batch=119, step=19320, lr=0.119750, batch loss=0.018908, epoch loss=0.024196 Batch=179, step=19380, lr=0.119500, batch loss=0.042881, epoch loss=0.067077 Batch=239, step=19440, lr=0.119250, batch loss=0.019535, epoch loss=0.086612 Batch=299, step=19500, lr=0.119000, batch loss=0.005033, epoch loss=0.091645 Batch=359, step=19560, lr=0.118750, batch loss=0.016692, epoch loss=0.108337 Batch=419, step=19620, lr=0.118500, batch loss=0.019855, epoch loss=0.128192 Batch=479, step=19680, lr=0.118250, batch loss=0.007134, epoch loss=0.135326 Batch=539, step=19740, lr=0.118000, batch loss=0.017033, epoch loss=0.152359 Batch=599, step=19800, lr=0.117750, batch loss=0.023213, epoch loss=0.175573 Batch=659, step=19860, lr=0.117500, batch loss=0.019564, epoch loss=0.195137 Batch=719, step=19920, lr=0.117250, batch loss=0.045886, epoch loss=0.241023 Batch=779, step=19980, lr=0.117000, batch loss=0.084725, epoch loss=0.325749 Batch=839, step=20040, lr=0.116750, batch loss=0.031667, epoch loss=0.357415 Batch=899, step=20100, lr=0.116500, batch loss=0.027402, epoch loss=0.384817 Batch=959, step=20160, lr=0.116250, batch loss=0.016943, epoch loss=0.401760 Batch=1019, step=20220, lr=0.116000, batch loss=0.018501, epoch loss=0.420261 Batch=1079, step=20280, lr=0.115750, batch loss=0.004974, epoch loss=0.425234 Batch=1139, step=20340, lr=0.115500, batch loss=0.018826, epoch loss=0.444061 Batch=1199, step=20400, lr=0.115250, batch loss=0.007289, epoch loss=0.451349 Epoch=16, step=20400, lr=0.115250, epoch loss=0.451349 Batch=59, step=20460, lr=0.115000, batch loss=0.003260, epoch loss=0.003260 Batch=119, step=20520, lr=0.114750, batch loss=0.008471, epoch loss=0.011731 Batch=179, step=20580, lr=0.114500, batch loss=0.014938, epoch loss=0.026669 Batch=239, step=20640, lr=0.114250, batch loss=0.013102, epoch loss=0.039771 Batch=299, step=20700, lr=0.114000, batch loss=0.004991, epoch loss=0.044762 Batch=359, step=20760, lr=0.113750, batch loss=0.014150, epoch loss=0.058912 Batch=419, step=20820, lr=0.113500, batch loss=0.014592, epoch loss=0.073504 Batch=479, step=20880, lr=0.113250, batch loss=0.004838, epoch loss=0.078343 Batch=539, step=20940, lr=0.113000, batch loss=0.015743, epoch loss=0.094086 Batch=599, step=21000, lr=0.112750, batch loss=0.018412, epoch loss=0.112498 Batch=659, step=21060, lr=0.112500, batch loss=0.015600, epoch loss=0.128098 Batch=719, step=21120, lr=0.112250, batch loss=0.038294, epoch loss=0.166392 Batch=779, step=21180, lr=0.112000, batch loss=0.075333, epoch loss=0.241725 Batch=839, step=21240, lr=0.111750, batch loss=0.026051, epoch loss=0.267776 Batch=899, step=21300, lr=0.111500, batch loss=0.034870, epoch loss=0.302645 Batch=959, step=21360, lr=0.111250, batch loss=0.009735, epoch loss=0.312380 Batch=1019, step=21420, lr=0.111000, batch loss=0.011526, epoch loss=0.323907 Batch=1079, step=21480, lr=0.110750, batch loss=0.000682, epoch loss=0.324588 Batch=1139, step=21540, lr=0.110500, batch loss=0.012946, epoch loss=0.337534 Batch=1199, step=21600, lr=0.110250, batch loss=0.005304, epoch loss=0.342838 Epoch=17, step=21600, lr=0.110250, epoch loss=0.342838 Batch=59, step=21660, lr=0.110000, batch loss=0.002380, epoch loss=0.002380 Batch=119, step=21720, lr=0.109750, batch loss=0.006285, epoch loss=0.008665 Batch=179, step=21780, lr=0.109500, batch loss=0.012678, epoch loss=0.021344 Batch=239, step=21840, lr=0.109250, batch loss=0.009193, epoch loss=0.030537 Batch=299, step=21900, lr=0.109000, batch loss=0.003565, epoch loss=0.034102 Batch=359, step=21960, lr=0.108750, batch loss=0.014979, epoch loss=0.049081 Batch=419, step=22020, lr=0.108500, batch loss=0.011656, epoch loss=0.060738 Batch=479, step=22080, lr=0.108250, batch loss=0.002806, epoch loss=0.063544 Batch=539, step=22140, lr=0.108000, batch loss=0.018235, epoch loss=0.081778 Batch=599, step=22200, lr=0.107750, batch loss=0.016543, epoch loss=0.098321 Batch=659, step=22260, lr=0.107500, batch loss=0.013764, epoch loss=0.112085 Batch=719, step=22320, lr=0.107250, batch loss=0.027807, epoch loss=0.139893 Batch=779, step=22380, lr=0.107000, batch loss=0.042274, epoch loss=0.182167 Batch=839, step=22440, lr=0.106750, batch loss=0.021447, epoch loss=0.203613 Batch=899, step=22500, lr=0.106500, batch loss=0.021478, epoch loss=0.225092 Batch=959, step=22560, lr=0.106250, batch loss=0.010742, epoch loss=0.235834 Batch=1019, step=22620, lr=0.106000, batch loss=0.009538, epoch loss=0.245372 Batch=1079, step=22680, lr=0.105750, batch loss=0.000000, epoch loss=0.245372 Batch=1139, step=22740, lr=0.105500, batch loss=0.009666, epoch loss=0.255038 Batch=1199, step=22800, lr=0.105250, batch loss=0.004483, epoch loss=0.259521 Epoch=18, step=22800, lr=0.105250, epoch loss=0.259521 Batch=59, step=22860, lr=0.105000, batch loss=0.002161, epoch loss=0.002161 Batch=119, step=22920, lr=0.104750, batch loss=0.005374, epoch loss=0.007535 Batch=179, step=22980, lr=0.104500, batch loss=0.010075, epoch loss=0.017610 Batch=239, step=23040, lr=0.104250, batch loss=0.008698, epoch loss=0.026308 Batch=299, step=23100, lr=0.104000, batch loss=0.006376, epoch loss=0.032684 Batch=359, step=23160, lr=0.103750, batch loss=0.009561, epoch loss=0.042245 Batch=419, step=23220, lr=0.103500, batch loss=0.009872, epoch loss=0.052117 Batch=479, step=23280, lr=0.103250, batch loss=0.002715, epoch loss=0.054832 Batch=539, step=23340, lr=0.103000, batch loss=0.016952, epoch loss=0.071784 Batch=599, step=23400, lr=0.102750, batch loss=0.013478, epoch loss=0.085263 Batch=659, step=23460, lr=0.102500, batch loss=0.011241, epoch loss=0.096504 Batch=719, step=23520, lr=0.102250, batch loss=0.012392, epoch loss=0.108895 Batch=779, step=23580, lr=0.102000, batch loss=0.022989, epoch loss=0.131884 Batch=839, step=23640, lr=0.101750, batch loss=0.026973, epoch loss=0.158857 Batch=899, step=23700, lr=0.101500, batch loss=0.020928, epoch loss=0.179786 Batch=959, step=23760, lr=0.101250, batch loss=0.009811, epoch loss=0.189597 Batch=1019, step=23820, lr=0.101000, batch loss=0.008466, epoch loss=0.198063 Batch=1079, step=23880, lr=0.100750, batch loss=0.001744, epoch loss=0.199806 Batch=1139, step=23940, lr=0.100500, batch loss=0.008125, epoch loss=0.207932 Batch=1199, step=24000, lr=0.100250, batch loss=0.004777, epoch loss=0.212709 Epoch=19, step=24000, lr=0.100250, epoch loss=0.212709 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#********************************.......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##**********...........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%.........**************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................****...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-09 13:11.08 ---> saved as "ec6e3b7741647ef59a07aa05412d2124b0e9d98e51d7b9e10149c14d802b65ec" Job succeeded 2025-05-09 13:11.09: Job succeeded