2025-03-21 16:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (151162601bc8b3df560578aa1056d12d2dcb7acf) (linux-x86_64:debian-12-5.2_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 15116260 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71 # debian-12-5.2_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 16:19.55: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5" 2025-03-21 16:19.55: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) (comment debian-12-5.2_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 16:19.55: Waiting for resource in pool OCluster 2025-03-21 16:19.55: Waiting for worker… 2025-03-21 16:20.54: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at 15116260 Differentiable conditional -> piecewise-defined functions (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-03-21 16:30.00 ---> saved as "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" /: (comment debian-12-5.2_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 16:30.00 ---> saved as "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" /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. [NOTE] The 'jobs' option was reset, its value was 39 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=39 --global Continue? [y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 16:31.42 ---> saved as "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.2.1 2.3.0 2025-03-21 16:31.43 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 16:31.43 ---> saved as "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD a8ed476033..acfb0e6e94 master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 16:32.44 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 16:32.44 ---> saved as "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185" /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 16:32.49 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 16:32.49 ---> saved as "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201" /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://deb.debian.org/debian bookworm InRelease - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [249 kB] - Fetched 353 kB in 1s (660 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [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-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 18776 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:amd64. - Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-1) ... - Setting up libffi-dev:amd64 (3.4.4-1) ... - Setting up libpkgconf3:amd64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up pkg-config:amd64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-03-21 16:33.13 ---> saved as "fb1ddceb16c82d5bfdaf0e6f837342ce85d1b90544d9b35f7da89dad06c10c86" /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-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [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-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.0 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> installed conf-pkg-config.4 -> retrieved cppo.1.8.0 (cached) -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved re.1.12.0 (cached) -> retrieved 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 time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> 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 multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed 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 ppxlib.0.35.0 -> installed printbox-ext-plot.0.12 -> installed ppxlib_jane.v0.17.0 -> 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_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 16:34.48 ---> saved as "8720c3d776a3e01524dbb3b3167035791e3aec306337f0c96114766155f1dcdc" /src: (copy (src .) (dst /src)) 2025-03-21 16:34.49 ---> saved as "dba60a33d512a5cd1213dbee5e123ff35d651ecfc694fe22f9fab57899e0b7a1" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3dd4c6ced637da24a3b6cbb496fb012f/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8ee024097416258e25d7f5ec95bcf6a8/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=0.169000, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200785, epoch loss=1.105201 Batch=359, step=7560, lr=0.168750, batch loss=0.258479, epoch loss=1.363680 Batch=419, step=7620, lr=0.168500, batch loss=0.256779, epoch loss=1.620459 Batch=479, step=7680, lr=0.168250, batch loss=0.236032, epoch loss=1.856491 Batch=539, step=7740, lr=0.167750, batch loss=0.187851, epoch loss=2.044342 Batch=599, step=7800, lr=0.167750, batch loss=0.223885, epoch loss=2.268227 Batch=659, step=7860, lr=0.167500, batch loss=0.305943, epoch loss=2.574170 Batch=719, step=7920, lr=0.167250, batch loss=0.309260, epoch loss=2.883431 Batch=779, step=7980, lr=0.167000, batch loss=0.329975, epoch loss=3.213406 Batch=839, step=8040, lr=0.166750, batch loss=0.292407, epoch loss=3.505813 Batch=899, step=8100, lr=0.166500, batch loss=0.261802, epoch loss=3.767615 Batch=959, step=8160, lr=0.166250, batch loss=0.193249, epoch loss=3.960864 Batch=1019, step=8220, lr=0.166000, batch loss=0.314099, epoch loss=4.274963 Batch=1079, step=8280, lr=0.165750, batch loss=0.172045, epoch loss=4.447009 Batch=1139, step=8340, lr=0.165500, batch loss=0.209761, epoch loss=4.656770 Batch=1199, step=8400, lr=0.165250, batch loss=0.178299, epoch loss=4.835069 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835069 Batch=59, step=8460, lr=0.165000, batch loss=0.229675, epoch loss=0.229675 Batch=119, step=8520, lr=0.164750, batch loss=0.175046, epoch loss=0.404721 Batch=179, step=8580, lr=0.164500, batch loss=0.187825, epoch loss=0.592546 Batch=239, step=8640, lr=0.164250, batch loss=0.278190, epoch loss=0.870736 Batch=299, step=8700, lr=0.164000, batch loss=0.192032, epoch loss=1.062768 Batch=359, step=8760, lr=0.163750, batch loss=0.248601, epoch loss=1.311369 Batch=419, step=8820, lr=0.163500, batch loss=0.245633, epoch loss=1.557002 Batch=479, step=8880, lr=0.163250, batch loss=0.228560, epoch loss=1.785563 Batch=539, step=8940, lr=0.163000, batch loss=0.178170, epoch loss=1.963733 Batch=599, step=9000, lr=0.162750, batch loss=0.217348, epoch loss=2.181081 Batch=659, step=9060, lr=0.162500, batch loss=0.294843, epoch loss=2.475924 Batch=719, step=9120, lr=0.162250, batch loss=0.296404, epoch loss=2.772328 Batch=779, step=9180, lr=0.162000, batch loss=0.316770, epoch loss=3.089098 Batch=839, step=9240, lr=0.161750, batch loss=0.287219, epoch loss=3.376317 Batch=899, step=9300, lr=0.161500, batch loss=0.251089, epoch loss=3.627405 Batch=959, step=9360, lr=0.161250, batch loss=0.190478, epoch loss=3.817884 Batch=1019, step=9420, lr=0.161000, batch loss=0.311809, epoch loss=4.129693 Batch=1079, step=9480, lr=0.160750, batch loss=0.191514, epoch loss=4.321207 Batch=1139, step=9540, lr=0.160500, batch loss=0.215815, epoch loss=4.537022 Batch=1199, step=9600, lr=0.160250, batch loss=0.165625, epoch loss=4.702647 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702647 Batch=59, step=9660, lr=0.160000, batch loss=0.197179, epoch loss=0.197179 Batch=119, step=9720, lr=0.159750, batch loss=0.165497, epoch loss=0.362675 Batch=179, step=9780, lr=0.159500, batch loss=0.179294, epoch loss=0.541969 Batch=239, step=9840, lr=0.159250, batch loss=0.263822, epoch loss=0.805791 Batch=299, step=9900, lr=0.159000, batch loss=0.182233, epoch loss=0.988024 Batch=359, step=9960, lr=0.158750, batch loss=0.240805, epoch loss=1.228829 Batch=419, step=10020, lr=0.158500, batch loss=0.233012, epoch loss=1.461841 Batch=479, step=10080, lr=0.158250, batch loss=0.213161, epoch loss=1.675003 Batch=539, step=10140, lr=0.158000, batch loss=0.170610, epoch loss=1.845612 Batch=599, step=10200, lr=0.157750, batch loss=0.200188, epoch loss=2.045800 Batch=659, step=10260, lr=0.157500, batch loss=0.283090, epoch loss=2.328890 Batch=719, step=10320, lr=0.157250, batch loss=0.279631, epoch loss=2.608521 Batch=779, step=10380, lr=0.157000, batch loss=0.300808, epoch loss=2.909329 Batch=839, step=10440, lr=0.156750, batch loss=0.270960, epoch loss=3.180290 Batch=899, step=10500, lr=0.156500, batch loss=0.239823, epoch loss=3.420113 Batch=959, step=10560, lr=0.156250, batch loss=0.197996, epoch loss=3.618109 Batch=1019, step=10620, lr=0.156000, batch loss=0.293800, epoch loss=3.911908 Batch=1079, step=10680, lr=0.155750, batch loss=0.179766, epoch loss=4.091674 Batch=1139, step=10740, lr=0.155500, batch loss=0.204314, epoch loss=4.295988 Batch=1199, step=10800, lr=0.155250, batch loss=0.154702, epoch loss=4.450691 Epoch=8, step=10800, lr=0.155250, epoch loss=4.450691 Batch=59, step=10860, lr=0.155000, batch loss=0.176311, epoch loss=0.176311 Batch=119, step=10920, lr=0.154750, batch loss=0.147210, epoch loss=0.323521 Batch=179, step=10980, lr=0.154500, batch loss=0.166014, epoch loss=0.489535 Batch=239, step=11040, lr=0.154250, batch loss=0.241436, epoch loss=0.730971 Batch=299, step=11100, lr=0.154000, batch loss=0.170559, epoch loss=0.901530 Batch=359, step=11160, lr=0.153750, batch loss=0.221190, epoch loss=1.122721 Batch=419, step=11220, lr=0.153500, batch loss=0.218440, epoch loss=1.341161 Batch=479, step=11280, lr=0.153250, batch loss=0.209160, epoch loss=1.550321 Batch=539, step=11340, lr=0.153000, batch loss=0.158966, epoch loss=1.709287 Batch=599, step=11400, lr=0.152750, batch loss=0.177327, epoch loss=1.886614 Batch=659, step=11460, lr=0.152500, batch loss=0.265320, epoch loss=2.151934 Batch=719, step=11520, lr=0.152250, batch loss=0.260073, epoch loss=2.412007 Batch=779, step=11580, lr=0.152000, batch loss=0.272935, epoch loss=2.684942 Batch=839, step=11640, lr=0.151750, batch loss=0.256115, epoch loss=2.941058 Batch=899, step=11700, lr=0.151500, batch loss=0.212656, epoch loss=3.153713 Batch=959, step=11760, lr=0.151250, batch loss=0.168944, epoch loss=3.322658 Batch=1019, step=11820, lr=0.151000, batch loss=0.266413, epoch loss=3.589071 Batch=1079, step=11880, lr=0.150750, batch loss=0.148932, epoch loss=3.738003 Batch=1139, step=11940, lr=0.150500, batch loss=0.184324, epoch loss=3.922327 Batch=1199, step=12000, lr=0.150250, batch loss=0.138529, epoch loss=4.060857 Epoch=9, step=12000, lr=0.150250, epoch loss=4.060857 Batch=59, step=12060, lr=0.150000, batch loss=0.157938, epoch loss=0.157938 Batch=119, step=12120, lr=0.149750, batch loss=0.129061, epoch loss=0.286999 Batch=179, step=12180, lr=0.149500, batch loss=0.153577, epoch loss=0.440576 Batch=239, step=12240, lr=0.149250, batch loss=0.221365, epoch loss=0.661941 Batch=299, step=12300, lr=0.149000, batch loss=0.135666, epoch loss=0.797607 Batch=359, step=12360, lr=0.148750, batch loss=0.191222, epoch loss=0.988829 Batch=419, step=12420, lr=0.148500, batch loss=0.187650, epoch loss=1.176479 Batch=479, step=12480, lr=0.148250, batch loss=0.175583, epoch loss=1.352063 Batch=539, step=12540, lr=0.148000, batch loss=0.142087, epoch loss=1.494150 Batch=599, step=12600, lr=0.147750, batch loss=0.150045, epoch loss=1.644194 Batch=659, step=12660, lr=0.147500, batch loss=0.224829, epoch loss=1.869024 Batch=719, step=12720, lr=0.147250, batch loss=0.235208, epoch loss=2.104232 Batch=779, step=12780, lr=0.147000, batch loss=0.261364, epoch loss=2.365596 Batch=839, step=12840, lr=0.146750, batch loss=0.237572, epoch loss=2.603167 Batch=899, step=12900, lr=0.146500, batch loss=0.240881, epoch loss=2.844048 Batch=959, step=12960, lr=0.146250, batch loss=0.134492, epoch loss=2.978540 Batch=1019, step=13020, lr=0.146000, batch loss=0.207100, epoch loss=3.185640 Batch=1079, step=13080, lr=0.145750, batch loss=0.122494, epoch loss=3.308134 Batch=1139, step=13140, lr=0.145500, batch loss=0.172774, epoch loss=3.480908 Batch=1199, step=13200, lr=0.145250, batch loss=0.117411, epoch loss=3.598319 Epoch=10, step=13200, lr=0.145250, epoch loss=3.598319 Batch=59, step=13260, lr=0.145000, batch loss=0.141775, epoch loss=0.141775 Batch=119, step=13320, lr=0.144750, batch loss=0.120118, epoch loss=0.261893 Batch=179, step=13380, lr=0.144500, batch loss=0.129728, epoch loss=0.391621 Batch=239, step=13440, lr=0.144250, batch loss=0.193183, epoch loss=0.584805 Batch=299, step=13500, lr=0.144000, batch loss=0.116284, epoch loss=0.701089 Batch=359, step=13560, lr=0.143750, batch loss=0.159541, epoch loss=0.860630 Batch=419, step=13620, lr=0.143500, batch loss=0.155944, epoch loss=1.016574 Batch=479, step=13680, lr=0.143250, batch loss=0.141412, epoch loss=1.157986 Batch=539, step=13740, lr=0.143000, batch loss=0.121087, epoch loss=1.279073 Batch=599, step=13800, lr=0.142750, batch loss=0.119661, epoch loss=1.398734 Batch=659, step=13860, lr=0.142500, batch loss=0.176216, epoch loss=1.574950 Batch=719, step=13920, lr=0.142250, batch loss=0.174280, epoch loss=1.749229 Batch=779, step=13980, lr=0.142000, batch loss=0.195730, epoch loss=1.944960 Batch=839, step=14040, lr=0.141750, batch loss=0.184480, epoch loss=2.129439 Batch=899, step=14100, lr=0.141500, batch loss=0.158903, epoch loss=2.288342 Batch=959, step=14160, lr=0.141250, batch loss=0.156773, epoch loss=2.445116 Batch=1019, step=14220, lr=0.141000, batch loss=0.374588, epoch loss=2.819704 Batch=1079, step=14280, lr=0.140750, batch loss=0.069057, epoch loss=2.888761 Batch=1139, step=14340, lr=0.140500, batch loss=0.121613, epoch loss=3.010374 Batch=1199, step=14400, lr=0.140250, batch loss=0.092096, epoch loss=3.102470 Epoch=11, step=14400, lr=0.140250, epoch loss=3.102470 Batch=59, step=14460, lr=0.140000, batch loss=0.111726, epoch loss=0.111726 Batch=119, step=14520, lr=0.139750, batch loss=0.102257, epoch loss=0.213984 Batch=179, step=14580, lr=0.139500, batch loss=0.106828, epoch loss=0.320812 Batch=239, step=14640, lr=0.139250, batch loss=0.140610, epoch loss=0.461423 Batch=299, step=14700, lr=0.139000, batch loss=0.082053, epoch loss=0.543476 Batch=359, step=14760, lr=0.138750, batch loss=0.129097, epoch loss=0.672573 Batch=419, step=14820, lr=0.138500, batch loss=0.126452, epoch loss=0.799025 Batch=479, step=14880, lr=0.138250, batch loss=0.102113, epoch loss=0.901138 Batch=539, step=14940, lr=0.138000, batch loss=0.096926, epoch loss=0.998064 Batch=599, step=15000, lr=0.137750, batch loss=0.086958, epoch loss=1.085022 Batch=659, step=15060, lr=0.137500, batch loss=0.128088, epoch loss=1.213110 Batch=719, step=15120, lr=0.137250, batch loss=0.124829, epoch loss=1.337939 Batch=779, step=15180, lr=0.137000, batch loss=0.126308, epoch loss=1.464247 Batch=839, step=15240, lr=0.136750, batch loss=0.150763, epoch loss=1.615010 Batch=899, step=15300, lr=0.136500, batch loss=0.189142, epoch loss=1.804151 Batch=959, step=15360, lr=0.136250, batch loss=0.084370, epoch loss=1.888521 Batch=1019, step=15420, lr=0.136000, batch loss=0.162942, epoch loss=2.051464 Batch=1079, step=15480, lr=0.135750, batch loss=0.043313, epoch loss=2.094777 Batch=1139, step=15540, lr=0.135500, batch loss=0.105565, epoch loss=2.200342 Batch=1199, step=15600, lr=0.135250, batch loss=0.059700, epoch loss=2.260041 Epoch=12, step=15600, lr=0.135250, epoch loss=2.260041 Batch=59, step=15660, lr=0.135000, batch loss=0.085589, epoch loss=0.085589 Batch=119, step=15720, lr=0.134750, batch loss=0.146168, epoch loss=0.231757 Batch=179, step=15780, lr=0.134500, batch loss=0.102718, epoch loss=0.334474 Batch=239, step=15840, lr=0.134250, batch loss=0.098327, epoch loss=0.432802 Batch=299, step=15900, lr=0.134000, batch loss=0.042686, epoch loss=0.475488 Batch=359, step=15960, lr=0.133750, batch loss=0.082265, epoch loss=0.557752 Batch=419, step=16020, lr=0.133500, batch loss=0.078310, epoch loss=0.636062 Batch=479, step=16080, lr=0.133250, batch loss=0.061379, epoch loss=0.697441 Batch=539, step=16140, lr=0.133000, batch loss=0.061050, epoch loss=0.758491 Batch=599, step=16200, lr=0.132750, batch loss=0.136499, epoch loss=0.894990 Batch=659, step=16260, lr=0.132500, batch loss=0.085908, epoch loss=0.980897 Batch=719, step=16320, lr=0.132250, batch loss=0.122163, epoch loss=1.103060 Batch=779, step=16380, lr=0.132000, batch loss=0.267228, epoch loss=1.370289 Batch=839, step=16440, lr=0.131750, batch loss=0.087715, epoch loss=1.458004 Batch=899, step=16500, lr=0.131500, batch loss=0.072477, epoch loss=1.530481 Batch=959, step=16560, lr=0.131250, batch loss=0.036094, epoch loss=1.566574 Batch=1019, step=16620, lr=0.131000, batch loss=0.093030, epoch loss=1.659605 Batch=1079, step=16680, lr=0.130750, batch loss=0.027448, epoch loss=1.687053 Batch=1139, step=16740, lr=0.130500, batch loss=0.059075, epoch loss=1.746128 Batch=1199, step=16800, lr=0.130250, batch loss=0.029463, epoch loss=1.775591 Epoch=13, step=16800, lr=0.130250, epoch loss=1.775591 Batch=59, step=16860, lr=0.130000, batch loss=0.035616, epoch loss=0.035616 Batch=119, step=16920, lr=0.129750, batch loss=0.042517, epoch loss=0.078133 Batch=179, step=16980, lr=0.129500, batch loss=0.044136, epoch loss=0.122269 Batch=239, step=17040, lr=0.129250, batch loss=0.061816, epoch loss=0.184085 Batch=299, step=17100, lr=0.129000, batch loss=0.029806, epoch loss=0.213891 Batch=359, step=17160, lr=0.128750, batch loss=0.045074, epoch loss=0.258965 Batch=419, step=17220, lr=0.128500, batch loss=0.075176, epoch loss=0.334141 Batch=479, step=17280, lr=0.128250, batch loss=0.023238, epoch loss=0.357380 Batch=539, step=17340, lr=0.128000, batch loss=0.028156, epoch loss=0.385535 Batch=599, step=17400, lr=0.127750, batch loss=0.035191, epoch loss=0.420726 Batch=659, step=17460, lr=0.127500, batch loss=0.046695, epoch loss=0.467421 Batch=719, step=17520, lr=0.127250, batch loss=0.061964, epoch loss=0.529385 Batch=779, step=17580, lr=0.127000, batch loss=0.065361, epoch loss=0.594746 Batch=839, step=17640, lr=0.126750, batch loss=0.101114, epoch loss=0.695860 Batch=899, step=17700, lr=0.126500, batch loss=0.053616, epoch loss=0.749476 Batch=959, step=17760, lr=0.126250, batch loss=0.018547, epoch loss=0.768023 Batch=1019, step=17820, lr=0.126000, batch loss=0.026581, epoch loss=0.794603 Batch=1079, step=17880, lr=0.125750, batch loss=0.022206, epoch loss=0.816810 Batch=1139, step=17940, lr=0.125500, batch loss=0.054318, epoch loss=0.871127 Batch=1199, step=18000, lr=0.125250, batch loss=0.017347, epoch loss=0.888475 Epoch=14, step=18000, lr=0.125250, epoch loss=0.888475 Batch=59, step=18060, lr=0.125000, batch loss=0.013454, epoch loss=0.013454 Batch=119, step=18120, lr=0.124750, batch loss=0.020468, epoch loss=0.033922 Batch=179, step=18180, lr=0.124500, batch loss=0.028972, epoch loss=0.062894 Batch=239, step=18240, lr=0.124250, batch loss=0.032585, epoch loss=0.095479 Batch=299, step=18300, lr=0.124000, batch loss=0.009285, epoch loss=0.104763 Batch=359, step=18360, lr=0.123750, batch loss=0.025149, epoch loss=0.129912 Batch=419, step=18420, lr=0.123500, batch loss=0.028704, epoch loss=0.158616 Batch=479, step=18480, lr=0.123250, batch loss=0.012669, epoch loss=0.171285 Batch=539, step=18540, lr=0.123000, batch loss=0.022034, epoch loss=0.193319 Batch=599, step=18600, lr=0.122750, batch loss=0.028064, epoch loss=0.221383 Batch=659, step=18660, lr=0.122500, batch loss=0.031073, epoch loss=0.252456 Batch=719, step=18720, lr=0.122250, batch loss=0.051611, epoch loss=0.304067 Batch=779, step=18780, lr=0.122000, batch loss=0.046789, epoch loss=0.350856 Batch=839, step=18840, lr=0.121750, batch loss=0.069969, epoch loss=0.420825 Batch=899, step=18900, lr=0.121500, batch loss=0.037918, epoch loss=0.458743 Batch=959, step=18960, lr=0.121250, batch loss=0.012780, epoch loss=0.471523 Batch=1019, step=19020, lr=0.121000, batch loss=0.021337, epoch loss=0.492860 Batch=1079, step=19080, lr=0.120750, batch loss=0.016365, epoch loss=0.509224 Batch=1139, step=19140, lr=0.120500, batch loss=0.032702, epoch loss=0.541927 Batch=1199, step=19200, lr=0.120250, batch loss=0.012032, epoch loss=0.553959 Epoch=15, step=19200, lr=0.120250, epoch loss=0.553959 Batch=59, step=19260, lr=0.120000, batch loss=0.011755, epoch loss=0.011755 Batch=119, step=19320, lr=0.119750, batch loss=0.024345, epoch loss=0.036100 Batch=179, step=19380, lr=0.119500, batch loss=0.073992, epoch loss=0.110093 Batch=239, step=19440, lr=0.119250, batch loss=0.030085, epoch loss=0.140177 Batch=299, step=19500, lr=0.119000, batch loss=0.015585, epoch loss=0.155762 Batch=359, step=19560, lr=0.118750, batch loss=0.035871, epoch loss=0.191633 Batch=419, step=19620, lr=0.118500, batch loss=0.021175, epoch loss=0.212809 Batch=479, step=19680, lr=0.118250, batch loss=0.006833, epoch loss=0.219642 Batch=539, step=19740, lr=0.118000, batch loss=0.018968, epoch loss=0.238610 Batch=599, step=19800, lr=0.117750, batch loss=0.022764, epoch loss=0.261373 Batch=659, step=19860, lr=0.117500, batch loss=0.019921, epoch loss=0.281294 Batch=719, step=19920, lr=0.117250, batch loss=0.037093, epoch loss=0.318387 Batch=779, step=19980, lr=0.117000, batch loss=0.082878, epoch loss=0.401265 Batch=839, step=20040, lr=0.116750, batch loss=0.031532, epoch loss=0.432797 Batch=899, step=20100, lr=0.116500, batch loss=0.030848, epoch loss=0.463646 Batch=959, step=20160, lr=0.116250, batch loss=0.011318, epoch loss=0.474964 Batch=1019, step=20220, lr=0.116000, batch loss=0.017531, epoch loss=0.492494 Batch=1079, step=20280, lr=0.115750, batch loss=0.003253, epoch loss=0.495747 Batch=1139, step=20340, lr=0.115500, batch loss=0.015554, epoch loss=0.511301 Batch=1199, step=20400, lr=0.115250, batch loss=0.006405, epoch loss=0.517706 Epoch=16, step=20400, lr=0.115250, epoch loss=0.517706 Batch=59, step=20460, lr=0.115000, batch loss=0.003191, epoch loss=0.003191 Batch=119, step=20520, lr=0.114750, batch loss=0.008484, epoch loss=0.011674 Batch=179, step=20580, lr=0.114500, batch loss=0.015428, epoch loss=0.027103 Batch=239, step=20640, lr=0.114250, batch loss=0.013300, epoch loss=0.040403 Batch=299, step=20700, lr=0.114000, batch loss=0.005021, epoch loss=0.045424 Batch=359, step=20760, lr=0.113750, batch loss=0.015908, epoch loss=0.061333 Batch=419, step=20820, lr=0.113500, batch loss=0.015127, epoch loss=0.076459 Batch=479, step=20880, lr=0.113250, batch loss=0.004549, epoch loss=0.081009 Batch=539, step=20940, lr=0.113000, batch loss=0.028521, epoch loss=0.109530 Batch=599, step=21000, lr=0.112750, batch loss=0.020947, epoch loss=0.130477 Batch=659, step=21060, lr=0.112500, batch loss=0.014089, epoch loss=0.144566 Batch=719, step=21120, lr=0.112250, batch loss=0.044087, epoch loss=0.188654 Batch=779, step=21180, lr=0.112000, batch loss=0.073069, epoch loss=0.261723 Batch=839, step=21240, lr=0.111750, batch loss=0.026282, epoch loss=0.288005 Batch=899, step=21300, lr=0.111500, batch loss=0.036726, epoch loss=0.324731 Batch=959, step=21360, lr=0.111250, batch loss=0.010329, epoch loss=0.335060 Batch=1019, step=21420, lr=0.111000, batch loss=0.011819, epoch loss=0.346879 Batch=1079, step=21480, lr=0.110750, batch loss=0.000323, epoch loss=0.347202 Batch=1139, step=21540, lr=0.110500, batch loss=0.012750, epoch loss=0.359952 Batch=1199, step=21600, lr=0.110250, batch loss=0.004942, epoch loss=0.364894 Epoch=17, step=21600, lr=0.110250, epoch loss=0.364894 Batch=59, step=21660, lr=0.110000, batch loss=0.002278, epoch loss=0.002278 Batch=119, step=21720, lr=0.109750, batch loss=0.006977, epoch loss=0.009255 Batch=179, step=21780, lr=0.109500, batch loss=0.012907, epoch loss=0.022162 Batch=239, step=21840, lr=0.109250, batch loss=0.010900, epoch loss=0.033062 Batch=299, step=21900, lr=0.109000, batch loss=0.002218, epoch loss=0.035280 Batch=359, step=21960, lr=0.108750, batch loss=0.011804, epoch loss=0.047084 Batch=419, step=22020, lr=0.108500, batch loss=0.011784, epoch loss=0.058868 Batch=479, step=22080, lr=0.108250, batch loss=0.003127, epoch loss=0.061995 Batch=539, step=22140, lr=0.108000, batch loss=0.018420, epoch loss=0.080416 Batch=599, step=22200, lr=0.107750, batch loss=0.016452, epoch loss=0.096868 Batch=659, step=22260, lr=0.107500, batch loss=0.014189, epoch loss=0.111057 Batch=719, step=22320, lr=0.107250, batch loss=0.029592, epoch loss=0.140649 Batch=779, step=22380, lr=0.107000, batch loss=0.042562, epoch loss=0.183211 Batch=839, step=22440, lr=0.106750, batch loss=0.022125, epoch loss=0.205336 Batch=899, step=22500, lr=0.106500, batch loss=0.021404, epoch loss=0.226741 Batch=959, step=22560, lr=0.106250, batch loss=0.010886, epoch loss=0.237627 Batch=1019, step=22620, lr=0.106000, batch loss=0.009608, epoch loss=0.247235 Batch=1079, step=22680, lr=0.105750, batch loss=0.000313, epoch loss=0.247548 Batch=1139, step=22740, lr=0.105500, batch loss=0.011385, epoch loss=0.258933 Batch=1199, step=22800, lr=0.105250, batch loss=0.004328, epoch loss=0.263261 Epoch=18, step=22800, lr=0.105250, epoch loss=0.263261 Batch=59, step=22860, lr=0.105000, batch loss=0.001397, epoch loss=0.001397 Batch=119, step=22920, lr=0.104750, batch loss=0.005336, epoch loss=0.006733 Batch=179, step=22980, lr=0.104500, batch loss=0.011187, epoch loss=0.017920 Batch=239, step=23040, lr=0.104250, batch loss=0.009144, epoch loss=0.027064 Batch=299, step=23100, lr=0.104000, batch loss=0.009043, epoch loss=0.036106 Batch=359, step=23160, lr=0.103750, batch loss=0.011273, epoch loss=0.047380 Batch=419, step=23220, lr=0.103500, batch loss=0.010155, epoch loss=0.057535 Batch=479, step=23280, lr=0.103250, batch loss=0.002323, epoch loss=0.059858 Batch=539, step=23340, lr=0.103000, batch loss=0.016980, epoch loss=0.076837 Batch=599, step=23400, lr=0.102750, batch loss=0.013340, epoch loss=0.090177 Batch=659, step=23460, lr=0.102500, batch loss=0.011550, epoch loss=0.101727 Batch=719, step=23520, lr=0.102250, batch loss=0.010158, epoch loss=0.111886 Batch=779, step=23580, lr=0.102000, batch loss=0.017192, epoch loss=0.129077 Batch=839, step=23640, lr=0.101750, batch loss=0.027341, epoch loss=0.156419 Batch=899, step=23700, lr=0.101500, batch loss=0.020953, epoch loss=0.177372 Batch=959, step=23760, lr=0.101250, batch loss=0.007888, epoch loss=0.185259 Batch=1019, step=23820, lr=0.101000, batch loss=0.008736, epoch loss=0.193995 Batch=1079, step=23880, lr=0.100500, batch loss=0.001084, epoch loss=0.195079 Batch=1139, step=23940, lr=0.100500, batch loss=0.008549, epoch loss=0.203628 Batch=1199, step=24000, lr=0.100250, batch loss=0.004566, epoch loss=0.208195 Epoch=19, step=24000, lr=0.100250, epoch loss=0.208195 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##*************....*****************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#*********..................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │***********..................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │**********........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │*********...............................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 16:35.16 ---> saved as "1838425cd890e62be838a2fd7f85bacdae8f5f685d3fd59fe14cbb129bf68d4a" Job succeeded 2025-03-21 16:35.17: Job succeeded