2025-03-21 16:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (151162601bc8b3df560578aa1056d12d2dcb7acf) (linux-x86_64:(lower-bound)) 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.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 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.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 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.0.32.1 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.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 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-b52341ba23877e94ae09b5dde4872bfa" 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.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 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.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 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.0.32.1 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.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 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 16:20.49: Got resource from pool OCluster Building on toxis.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 16:21.14 ---> 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 16:21.14 ---> 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. Continue? [y/n] y [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 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 16:22.48 ---> 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 16:22.48 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 16:22.49 ---> 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 16:24.21 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 16:24.21 ---> 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 16:24.28 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 16:24.29 ---> saved as "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201" /src: (env DEPS "angstrom.0.15.0 backoff.0.1.0 base.v0.17.0 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.5.0 conf-libffi.2.0.0 conf-pkg-config.1.0 cppo.1.6.7 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.14.0 dune-configurator.2.7.0 fieldslib.v0.17.0 integers.0.6.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.0.0 multicore-magic.2.3.0 num.1.0 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.v0.17.0 ocamlbuild.0.14.3 ocamlfind.1.9.6 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.5.2 ppx_enumerate.v0.17.0 ppx_expect.v0.17.0 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.0.32.1 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.0.8.6 re.1.9.0 result.1.5 saturn_lockfree.0.5.0 seq.0.3 sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.1.0 time_now.v0.17.0 topkg.1.0.6 tyxml.4.4.0 uucp.13.0.0 uutf.1.0.3 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 (450 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 16:25.09 ---> saved as "5413d90b88bfad68372a87ba6af93a5c804fd152971fa170c50329eac12afcf9" /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 0.15.0 - install backoff 0.1.0 - install base v0.17.0 - install bigarray-compat 1.1.0 - install bigstringaf 0.5.0 - install conf-libffi 2.0.0 - install conf-pkg-config 1.0 - install cppo 1.6.7 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.14.0 - install dune-configurator 2.7.0 - install fieldslib v0.17.0 - install integers 0.6.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.0.0 - install multicore-magic 2.3.0 - install num 1.0 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.0 - install ocamlbuild 0.14.3 - install ocamlfind 1.9.6 - 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 5.2 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.0 - 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 0.32.1 - 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 0.8.6 - install re 1.9.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq 0.3 - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.1.0 - install time_now v0.17.0 - install topkg 1.0.6 - install tyxml 4.4.0 - install uucp 13.0.0 - install uutf 1.0.3 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.0 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.15.0 (cached) -> retrieved base.v0.17.0 (cached) -> retrieved bigstringaf.0.5.0 (cached) -> retrieved cppo.1.6.7 (cached) -> installed conf-pkg-config.1.0 -> 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.0.6.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.0.0 (cached) -> retrieved multicore-magic.2.3.0 (cached) -> retrieved num.1.0 (cached) -> retrieved dune-configurator.2.7.0 (cached) -> retrieved dune.3.14.0 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.0 (cached) -> retrieved ocamlfind.1.9.6 (cached) -> retrieved ocamlbuild.0.14.3 (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_deriving.5.2 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.0 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ptime.0.8.6 (cached) -> retrieved re.1.9.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.0.3 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved ppxlib.0.32.1 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved stdlib-shims.0.1.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.6 (cached) -> retrieved uutf.1.0.3 (cached) -> retrieved tyxml.4.4.0 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.13.0.0 (cached) -> installed ocamlfind.1.9.6 -> installed num.1.0 -> installed ocamlbuild.0.14.3 -> installed topkg.1.0.6 -> installed uutf.1.0.3 -> installed mtime.2.0.0 -> installed ptime.0.8.6 -> installed dune.3.14.0 -> installed backoff.0.1.0 -> installed bigarray-compat.1.1.0 -> installed bigstringaf.0.5.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed seq.0.3 -> installed printbox.0.12 -> installed result.1.5 -> installed stdlib-shims.0.1.0 -> installed multicore-magic.2.3.0 -> installed ocaml_intrinsics_kernel.v0.17.0 -> installed sexplib0.v0.17.0 -> installed cppo.1.6.7 -> installed integers.0.6.0 -> installed dune-configurator.2.7.0 -> installed saturn_lockfree.0.5.0 -> installed re.1.9.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed angstrom.0.15.0 -> installed parsexp.v0.17.0 -> installed sexplib.v0.17.0 -> installed tyxml.4.4.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.0 -> installed uucp.13.0.0 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.32.1 -> 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_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.5.2 -> 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.v0.17.0 Done. # To update the current shell environment, run: eval $(opam env) 2025-03-21 16:28.34 ---> saved as "a706c3e8811936c940cce32ac493171bae38f86f52811ed8e079c228989c062b" /src: (copy (src .) (dst /src)) 2025-03-21 16:28.35 ---> saved as "968959405d4cea3886d57e2ef5754688b196055a648f412a7ba3b04cdae868ff" /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/0bbcf9a5ab66894373ca492644f9d72e/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/0bbcf9a5ab66894373ca492644f9d72e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0bbcf9a5ab66894373ca492644f9d72e/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/a95574253bde207e95397766352cd0e9/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0bbcf9a5ab66894373ca492644f9d72e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0bbcf9a5ab66894373ca492644f9d72e/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/0bbcf9a5ab66894373ca492644f9d72e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0bbcf9a5ab66894373ca492644f9d72e/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/0bbcf9a5ab66894373ca492644f9d72e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0bbcf9a5ab66894373ca492644f9d72e/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/0bbcf9a5ab66894373ca492644f9d72e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0bbcf9a5ab66894373ca492644f9d72e/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/0bbcf9a5ab66894373ca492644f9d72e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0bbcf9a5ab66894373ca492644f9d72e/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/0bbcf9a5ab66894373ca492644f9d72e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0bbcf9a5ab66894373ca492644f9d72e/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/0bbcf9a5ab66894373ca492644f9d72e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0bbcf9a5ab66894373ca492644f9d72e/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/0bbcf9a5ab66894373ca492644f9d72e/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/0bbcf9a5ab66894373ca492644f9d72e/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/0bbcf9a5ab66894373ca492644f9d72e/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=0.196000, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.195750, batch loss=0.466345, epoch loss=44.501888 Batch=1079, step=1080, lr=0.195500, batch loss=0.248698, epoch loss=44.750585 Batch=1139, step=1140, lr=0.195500, batch loss=0.317368, epoch loss=45.067954 Batch=1199, step=1200, lr=0.195000, batch loss=0.263751, epoch loss=45.331705 Epoch=0, step=1200, lr=0.195000, epoch loss=45.331705 Batch=59, step=1260, lr=0.194750, batch loss=0.262215, epoch loss=0.262215 Batch=119, step=1320, lr=0.194500, batch loss=0.205202, epoch loss=0.467417 Batch=179, step=1380, lr=0.194250, batch loss=0.243671, epoch loss=0.711089 Batch=239, step=1440, lr=0.194000, batch loss=0.347942, epoch loss=1.059030 Batch=299, step=1500, lr=0.193750, batch loss=0.247331, epoch loss=1.306361 Batch=359, step=1560, lr=0.193750, batch loss=0.316667, epoch loss=1.623028 Batch=419, step=1620, lr=0.193500, batch loss=0.312719, epoch loss=1.935746 Batch=479, step=1680, lr=0.193000, batch loss=0.276321, epoch loss=2.212067 Batch=539, step=1740, lr=0.193000, batch loss=0.209817, epoch loss=2.421884 Batch=599, step=1800, lr=0.192750, batch loss=0.250557, epoch loss=2.672441 Batch=659, step=1860, lr=0.192500, batch loss=0.367114, epoch loss=3.039555 Batch=719, step=1920, lr=0.192250, batch loss=0.355011, epoch loss=3.394566 Batch=779, step=1980, lr=0.191750, batch loss=0.381288, epoch loss=3.775854 Batch=839, step=2040, lr=0.191750, batch loss=0.339662, epoch loss=4.115517 Batch=899, step=2100, lr=0.191500, batch loss=0.295251, epoch loss=4.410767 Batch=959, step=2160, lr=0.191000, batch loss=0.214034, epoch loss=4.624801 Batch=1019, step=2220, lr=0.191000, batch loss=0.330823, epoch loss=4.955624 Batch=1079, step=2280, lr=0.190500, batch loss=0.208504, epoch loss=5.164128 Batch=1139, step=2340, lr=0.190500, batch loss=0.277927, epoch loss=5.442055 Batch=1199, step=2400, lr=0.190000, batch loss=0.221007, epoch loss=5.663062 Epoch=1, step=2400, lr=0.190000, epoch loss=5.663062 Batch=59, step=2460, lr=0.189750, batch loss=0.230613, epoch loss=0.230613 Batch=119, step=2520, lr=0.189750, batch loss=0.195691, epoch loss=0.426304 Batch=179, step=2580, lr=0.189250, batch loss=0.221265, epoch loss=0.647569 Batch=239, step=2640, lr=0.189250, batch loss=0.328070, epoch loss=0.975639 Batch=299, step=2700, lr=0.188750, batch loss=0.202800, epoch loss=1.178438 Batch=359, step=2760, lr=0.188750, batch loss=0.288400, epoch loss=1.466839 Batch=419, step=2820, lr=0.188250, batch loss=0.280219, epoch loss=1.747058 Batch=479, step=2880, lr=0.188000, batch loss=0.251452, epoch loss=1.998509 Batch=539, step=2940, lr=0.187750, batch loss=0.191315, epoch loss=2.189824 Batch=599, step=3000, lr=0.187500, batch loss=0.224192, epoch loss=2.414016 Batch=659, step=3060, lr=0.187250, batch loss=0.330814, epoch loss=2.744830 Batch=719, step=3120, lr=0.187000, batch loss=0.333692, epoch loss=3.078522 Batch=779, step=3180, lr=0.187000, batch loss=0.354688, epoch loss=3.433211 Batch=839, step=3240, lr=0.186500, batch loss=0.327747, epoch loss=3.760958 Batch=899, step=3300, lr=0.186250, batch loss=0.295865, epoch loss=4.056823 Batch=959, step=3360, lr=0.186000, batch loss=0.239964, epoch loss=4.296787 Batch=1019, step=3420, lr=0.185750, batch loss=0.351852, epoch loss=4.648639 Batch=1079, step=3480, lr=0.185500, batch loss=0.232328, epoch loss=4.880967 Batch=1139, step=3540, lr=0.185250, batch loss=0.263314, epoch loss=5.144281 Batch=1199, step=3600, lr=0.185000, batch loss=0.199777, epoch loss=5.344058 Epoch=2, step=3600, lr=0.185000, epoch loss=5.344058 Batch=59, step=3660, lr=0.185000, batch loss=0.221604, epoch loss=0.221604 Batch=119, step=3720, lr=0.184750, batch loss=0.184354, epoch loss=0.405958 Batch=179, step=3780, lr=0.184250, batch loss=0.210716, epoch loss=0.616675 Batch=239, step=3840, lr=0.184000, batch loss=0.315054, epoch loss=0.931729 Batch=299, step=3900, lr=0.183750, batch loss=0.202815, epoch loss=1.134544 Batch=359, step=3960, lr=0.183500, batch loss=0.281663, epoch loss=1.416208 Batch=419, step=4020, lr=0.183250, batch loss=0.271346, epoch loss=1.687554 Batch=479, step=4080, lr=0.183000, batch loss=0.245735, epoch loss=1.933289 Batch=539, step=4140, lr=0.182750, batch loss=0.193810, epoch loss=2.127099 Batch=599, step=4200, lr=0.182750, batch loss=0.234492, epoch loss=2.361591 Batch=659, step=4260, lr=0.182250, batch loss=0.332959, epoch loss=2.694550 Batch=719, step=4320, lr=0.182000, batch loss=0.341631, epoch loss=3.036181 Batch=779, step=4380, lr=0.181750, batch loss=0.350827, epoch loss=3.387008 Batch=839, step=4440, lr=0.181500, batch loss=0.317419, epoch loss=3.704427 Batch=899, step=4500, lr=0.181500, batch loss=0.291885, epoch loss=3.996311 Batch=959, step=4560, lr=0.181000, batch loss=0.243186, epoch loss=4.239497 Batch=1019, step=4620, lr=0.180750, batch loss=0.347245, epoch loss=4.586741 Batch=1079, step=4680, lr=0.180500, batch loss=0.215259, epoch loss=4.802000 Batch=1139, step=4740, lr=0.180250, batch loss=0.246981, epoch loss=5.048982 Batch=1199, step=4800, lr=0.180000, batch loss=0.191482, epoch loss=5.240464 Epoch=3, step=4800, lr=0.180000, epoch loss=5.240464 Batch=59, step=4860, lr=0.179750, batch loss=0.230670, epoch loss=0.230670 Batch=119, step=4920, lr=0.179500, batch loss=0.187781, epoch loss=0.418451 Batch=179, step=4980, lr=0.179250, batch loss=0.205742, epoch loss=0.624193 Batch=239, step=5040, lr=0.179000, batch loss=0.309723, epoch loss=0.933916 Batch=299, step=5100, lr=0.178750, batch loss=0.211100, epoch loss=1.145016 Batch=359, step=5160, lr=0.178500, batch loss=0.282312, epoch loss=1.427328 Batch=419, step=5220, lr=0.178250, batch loss=0.276878, epoch loss=1.704206 Batch=479, step=5280, lr=0.178250, batch loss=0.244589, epoch loss=1.948795 Batch=539, step=5340, lr=0.178000, batch loss=0.189808, epoch loss=2.138603 Batch=599, step=5400, lr=0.177750, batch loss=0.230282, epoch loss=2.368884 Batch=659, step=5460, lr=0.177250, batch loss=0.322471, epoch loss=2.691355 Batch=719, step=5520, lr=0.177000, batch loss=0.322268, epoch loss=3.013623 Batch=779, step=5580, lr=0.176750, batch loss=0.340070, epoch loss=3.353692 Batch=839, step=5640, lr=0.176500, batch loss=0.312223, epoch loss=3.665916 Batch=899, step=5700, lr=0.176250, batch loss=0.275339, epoch loss=3.941255 Batch=959, step=5760, lr=0.176000, batch loss=0.210906, epoch loss=4.152161 Batch=1019, step=5820, lr=0.175750, batch loss=0.336850, epoch loss=4.489010 Batch=1079, step=5880, lr=0.175500, batch loss=0.189162, epoch loss=4.678172 Batch=1139, step=5940, lr=0.175250, batch loss=0.221374, epoch loss=4.899546 Batch=1199, step=6000, lr=0.175250, batch loss=0.187103, epoch loss=5.086649 Epoch=4, step=6000, lr=0.175250, epoch loss=5.086649 Batch=59, step=6060, lr=0.174750, batch loss=0.237320, epoch loss=0.237320 Batch=119, step=6120, lr=0.174750, batch loss=0.189286, epoch loss=0.426607 Batch=179, step=6180, lr=0.174250, batch loss=0.201392, epoch loss=0.627999 Batch=239, step=6240, lr=0.174250, batch loss=0.299742, epoch loss=0.927741 Batch=299, step=6300, lr=0.173750, batch loss=0.205703, epoch loss=1.133444 Batch=359, step=6360, lr=0.173500, batch loss=0.264431, epoch loss=1.397876 Batch=419, step=6420, lr=0.173250, batch loss=0.258744, epoch loss=1.656620 Batch=479, step=6480, lr=0.173000, batch loss=0.235294, epoch loss=1.891914 Batch=539, step=6540, lr=0.172750, batch loss=0.188643, epoch loss=2.080557 Batch=599, step=6600, lr=0.172500, batch loss=0.225042, epoch loss=2.305599 Batch=659, step=6660, lr=0.172500, batch loss=0.316426, epoch loss=2.622025 Batch=719, step=6720, lr=0.172000, batch loss=0.314814, epoch loss=2.936840 Batch=779, step=6780, lr=0.172000, batch loss=0.332129, epoch loss=3.268968 Batch=839, step=6840, lr=0.171500, batch loss=0.304133, epoch loss=3.573101 Batch=899, step=6900, lr=0.171250, batch loss=0.266640, epoch loss=3.839741 Batch=959, step=6960, lr=0.171000, batch loss=0.209346, epoch loss=4.049087 Batch=1019, step=7020, lr=0.170750, batch loss=0.327441, epoch loss=4.376528 Batch=1079, step=7080, lr=0.170500, batch loss=0.174540, epoch loss=4.551068 Batch=1139, step=7140, lr=0.170250, batch loss=0.212418, epoch loss=4.763485 Batch=1199, step=7200, lr=0.170250, batch loss=0.190403, epoch loss=4.953888 Epoch=5, step=7200, lr=0.170250, epoch loss=4.953888 Batch=59, step=7260, lr=0.169750, batch loss=0.225852, epoch loss=0.225852 Batch=119, step=7320, lr=0.169750, batch loss=0.189015, epoch loss=0.414868 Batch=179, step=7380, lr=0.169250, batch loss=0.194050, epoch loss=0.608917 Batch=239, step=7440, lr=0.169250, batch loss=0.290395, epoch loss=0.899313 Batch=299, step=7500, lr=0.168750, batch loss=0.206779, epoch loss=1.106092 Batch=359, step=7560, lr=0.168750, batch loss=0.261665, epoch loss=1.367757 Batch=419, step=7620, lr=0.168250, batch loss=0.252973, epoch loss=1.620730 Batch=479, step=7680, lr=0.168000, batch loss=0.231909, epoch loss=1.852639 Batch=539, step=7740, lr=0.167750, batch loss=0.192539, epoch loss=2.045178 Batch=599, step=7800, lr=0.167750, batch loss=0.225572, epoch loss=2.270750 Batch=659, step=7860, lr=0.167250, batch loss=0.305603, epoch loss=2.576353 Batch=719, step=7920, lr=0.167250, batch loss=0.309475, epoch loss=2.885829 Batch=779, step=7980, lr=0.167000, batch loss=0.330181, epoch loss=3.216009 Batch=839, step=8040, lr=0.166750, batch loss=0.291508, epoch loss=3.507518 Batch=899, step=8100, lr=0.166500, batch loss=0.263881, epoch loss=3.771399 Batch=959, step=8160, lr=0.166250, batch loss=0.220887, epoch loss=3.992287 Batch=1019, step=8220, lr=0.165750, batch loss=0.312277, epoch loss=4.304564 Batch=1079, step=8280, lr=0.165500, batch loss=0.177017, epoch loss=4.481581 Batch=1139, step=8340, lr=0.165500, batch loss=0.208924, epoch loss=4.690504 Batch=1199, step=8400, lr=0.165000, batch loss=0.177028, epoch loss=4.867533 Epoch=6, step=8400, lr=0.165000, epoch loss=4.867533 Batch=59, step=8460, lr=0.164750, batch loss=0.230042, epoch loss=0.230042 Batch=119, step=8520, lr=0.164500, batch loss=0.173796, epoch loss=0.403838 Batch=179, step=8580, lr=0.164500, batch loss=0.186947, epoch loss=0.590785 Batch=239, step=8640, lr=0.164250, batch loss=0.276363, epoch loss=0.867148 Batch=299, step=8700, lr=0.163750, batch loss=0.192664, epoch loss=1.059813 Batch=359, step=8760, lr=0.163500, batch loss=0.249175, epoch loss=1.308988 Batch=419, step=8820, lr=0.163250, batch loss=0.243225, epoch loss=1.552212 Batch=479, step=8880, lr=0.163000, batch loss=0.229369, epoch loss=1.781581 Batch=539, step=8940, lr=0.162750, batch loss=0.176462, epoch loss=1.958043 Batch=599, step=9000, lr=0.162500, batch loss=0.219525, epoch loss=2.177568 Batch=659, step=9060, lr=0.162500, batch loss=0.292446, epoch loss=2.470014 Batch=719, step=9120, lr=0.162000, batch loss=0.295953, epoch loss=2.765966 Batch=779, step=9180, lr=0.161750, batch loss=0.313071, epoch loss=3.079037 Batch=839, step=9240, lr=0.161500, batch loss=0.281348, epoch loss=3.360386 Batch=899, step=9300, lr=0.161250, batch loss=0.252116, epoch loss=3.612502 Batch=959, step=9360, lr=0.161000, batch loss=0.187915, epoch loss=3.800417 Batch=1019, step=9420, lr=0.160750, batch loss=0.319287, epoch loss=4.119704 Batch=1079, step=9480, lr=0.160500, batch loss=0.197598, epoch loss=4.317302 Batch=1139, step=9540, lr=0.160250, batch loss=0.211533, epoch loss=4.528835 Batch=1199, step=9600, lr=0.160250, batch loss=0.167144, epoch loss=4.695980 Epoch=7, step=9600, lr=0.160250, epoch loss=4.695980 Batch=59, step=9660, lr=0.159750, batch loss=0.198841, epoch loss=0.198841 Batch=119, step=9720, lr=0.159500, batch loss=0.163673, epoch loss=0.362514 Batch=179, step=9780, lr=0.159250, batch loss=0.178188, epoch loss=0.540702 Batch=239, step=9840, lr=0.159250, batch loss=0.259439, epoch loss=0.800141 Batch=299, step=9900, lr=0.158750, batch loss=0.181388, epoch loss=0.981528 Batch=359, step=9960, lr=0.158750, batch loss=0.240266, epoch loss=1.221795 Batch=419, step=10020, lr=0.158500, batch loss=0.231266, epoch loss=1.453061 Batch=479, step=10080, lr=0.158000, batch loss=0.214008, epoch loss=1.667069 Batch=539, step=10140, lr=0.157750, batch loss=0.169760, epoch loss=1.836830 Batch=599, step=10200, lr=0.157500, batch loss=0.202591, epoch loss=2.039421 Batch=659, step=10260, lr=0.157250, batch loss=0.280281, epoch loss=2.319701 Batch=719, step=10320, lr=0.157250, batch loss=0.286942, epoch loss=2.606643 Batch=779, step=10380, lr=0.156750, batch loss=0.293609, epoch loss=2.900252 Batch=839, step=10440, lr=0.156500, batch loss=0.267743, epoch loss=3.167995 Batch=899, step=10500, lr=0.156500, batch loss=0.240708, epoch loss=3.408703 Batch=959, step=10560, lr=0.156000, batch loss=0.200512, epoch loss=3.609215 Batch=1019, step=10620, lr=0.155750, batch loss=0.278743, epoch loss=3.887958 Batch=1079, step=10680, lr=0.155750, batch loss=0.152728, epoch loss=4.040686 Batch=1139, step=10740, lr=0.155500, batch loss=0.185842, epoch loss=4.226528 Batch=1199, step=10800, lr=0.155000, batch loss=0.153894, epoch loss=4.380422 Epoch=8, step=10800, lr=0.155000, epoch loss=4.380422 Batch=59, step=10860, lr=0.154750, batch loss=0.174535, epoch loss=0.174535 Batch=119, step=10920, lr=0.154750, batch loss=0.142535, epoch loss=0.317070 Batch=179, step=10980, lr=0.154500, batch loss=0.164189, epoch loss=0.481260 Batch=239, step=11040, lr=0.154000, batch loss=0.239819, epoch loss=0.721079 Batch=299, step=11100, lr=0.153750, batch loss=0.171890, epoch loss=0.892969 Batch=359, step=11160, lr=0.153500, batch loss=0.223655, epoch loss=1.116624 Batch=419, step=11220, lr=0.153250, batch loss=0.234894, epoch loss=1.351518 Batch=479, step=11280, lr=0.153000, batch loss=0.198180, epoch loss=1.549698 Batch=539, step=11340, lr=0.152750, batch loss=0.159491, epoch loss=1.709189 Batch=599, step=11400, lr=0.152750, batch loss=0.185832, epoch loss=1.895021 Batch=659, step=11460, lr=0.152250, batch loss=0.261058, epoch loss=2.156079 Batch=719, step=11520, lr=0.152000, batch loss=0.253725, epoch loss=2.409804 Batch=779, step=11580, lr=0.151750, batch loss=0.270144, epoch loss=2.679949 Batch=839, step=11640, lr=0.151500, batch loss=0.254992, epoch loss=2.934941 Batch=899, step=11700, lr=0.151250, batch loss=0.224754, epoch loss=3.159695 Batch=959, step=11760, lr=0.151000, batch loss=0.175611, epoch loss=3.335306 Batch=1019, step=11820, lr=0.151000, batch loss=0.257639, epoch loss=3.592945 Batch=1079, step=11880, lr=0.150500, batch loss=0.139704, epoch loss=3.732649 Batch=1139, step=11940, lr=0.150250, batch loss=0.174020, epoch loss=3.906668 Batch=1199, step=12000, lr=0.150000, batch loss=0.137633, epoch loss=4.044302 Epoch=9, step=12000, lr=0.150000, epoch loss=4.044302 Batch=59, step=12060, lr=0.149750, batch loss=0.164444, epoch loss=0.164444 Batch=119, step=12120, lr=0.149500, batch loss=0.140187, epoch loss=0.304631 Batch=179, step=12180, lr=0.149250, batch loss=0.149634, epoch loss=0.454265 Batch=239, step=12240, lr=0.149000, batch loss=0.216427, epoch loss=0.670692 Batch=299, step=12300, lr=0.148750, batch loss=0.145154, epoch loss=0.815846 Batch=359, step=12360, lr=0.148500, batch loss=0.195208, epoch loss=1.011054 Batch=419, step=12420, lr=0.148250, batch loss=0.207523, epoch loss=1.218577 Batch=479, step=12480, lr=0.148000, batch loss=0.176716, epoch loss=1.395292 Batch=539, step=12540, lr=0.147750, batch loss=0.143337, epoch loss=1.538630 Batch=599, step=12600, lr=0.147500, batch loss=0.148080, epoch loss=1.686709 Batch=659, step=12660, lr=0.147250, batch loss=0.225769, epoch loss=1.912478 Batch=719, step=12720, lr=0.147000, batch loss=0.233330, epoch loss=2.145808 Batch=779, step=12780, lr=0.146750, batch loss=0.262032, epoch loss=2.407840 Batch=839, step=12840, lr=0.146500, batch loss=0.229792, epoch loss=2.637632 Batch=899, step=12900, lr=0.146250, batch loss=0.199260, epoch loss=2.836892 Batch=959, step=12960, lr=0.146000, batch loss=0.149502, epoch loss=2.986394 Batch=1019, step=13020, lr=0.145750, batch loss=0.265304, epoch loss=3.251698 Batch=1079, step=13080, lr=0.145500, batch loss=0.113310, epoch loss=3.365007 Batch=1139, step=13140, lr=0.145500, batch loss=0.151011, epoch loss=3.516018 Batch=1199, step=13200, lr=0.145250, batch loss=0.116712, epoch loss=3.632730 Epoch=10, step=13200, lr=0.145250, epoch loss=3.632730 Batch=59, step=13260, lr=0.144750, batch loss=0.136353, epoch loss=0.136353 Batch=119, step=13320, lr=0.144500, batch loss=0.117752, epoch loss=0.254105 Batch=179, step=13380, lr=0.144250, batch loss=0.126041, epoch loss=0.380146 Batch=239, step=13440, lr=0.144000, batch loss=0.182472, epoch loss=0.562618 Batch=299, step=13500, lr=0.143750, batch loss=0.116982, epoch loss=0.679600 Batch=359, step=13560, lr=0.143750, batch loss=0.161693, epoch loss=0.841293 Batch=419, step=13620, lr=0.143500, batch loss=0.160156, epoch loss=1.001448 Batch=479, step=13680, lr=0.143000, batch loss=0.144083, epoch loss=1.145532 Batch=539, step=13740, lr=0.142750, batch loss=0.117935, epoch loss=1.263467 Batch=599, step=13800, lr=0.142500, batch loss=0.118904, epoch loss=1.382371 Batch=659, step=13860, lr=0.142250, batch loss=0.173260, epoch loss=1.555631 Batch=719, step=13920, lr=0.142000, batch loss=0.174642, epoch loss=1.730272 Batch=779, step=13980, lr=0.142000, batch loss=0.194886, epoch loss=1.925158 Batch=839, step=14040, lr=0.141750, batch loss=0.187727, epoch loss=2.112885 Batch=899, step=14100, lr=0.141500, batch loss=0.176852, epoch loss=2.289737 Batch=959, step=14160, lr=0.141250, batch loss=0.137023, epoch loss=2.426760 Batch=1019, step=14220, lr=0.141000, batch loss=0.270694, epoch loss=2.697454 Batch=1079, step=14280, lr=0.140750, batch loss=0.072611, epoch loss=2.770066 Batch=1139, step=14340, lr=0.140500, batch loss=0.123280, epoch loss=2.893345 Batch=1199, step=14400, lr=0.140000, batch loss=0.087795, epoch loss=2.981140 Epoch=11, step=14400, lr=0.140000, epoch loss=2.981140 Batch=59, step=14460, lr=0.140000, batch loss=0.110640, epoch loss=0.110640 Batch=119, step=14520, lr=0.139500, batch loss=0.108084, epoch loss=0.218724 Batch=179, step=14580, lr=0.139500, batch loss=0.102668, epoch loss=0.321392 Batch=239, step=14640, lr=0.139250, batch loss=0.136771, epoch loss=0.458163 Batch=299, step=14700, lr=0.138750, batch loss=0.078816, epoch loss=0.536979 Batch=359, step=14760, lr=0.138750, batch loss=0.114966, epoch loss=0.651944 Batch=419, step=14820, lr=0.138500, batch loss=0.122209, epoch loss=0.774153 Batch=479, step=14880, lr=0.138250, batch loss=0.105402, epoch loss=0.879555 Batch=539, step=14940, lr=0.138000, batch loss=0.115996, epoch loss=0.995551 Batch=599, step=15000, lr=0.137750, batch loss=0.084913, epoch loss=1.080463 Batch=659, step=15060, lr=0.137500, batch loss=0.126712, epoch loss=1.207175 Batch=719, step=15120, lr=0.137250, batch loss=0.120705, epoch loss=1.327880 Batch=779, step=15180, lr=0.137000, batch loss=0.126761, epoch loss=1.454641 Batch=839, step=15240, lr=0.136750, batch loss=0.146019, epoch loss=1.600661 Batch=899, step=15300, lr=0.136500, batch loss=0.189639, epoch loss=1.790300 Batch=959, step=15360, lr=0.136250, batch loss=0.080376, epoch loss=1.870675 Batch=1019, step=15420, lr=0.135750, batch loss=0.161392, epoch loss=2.032068 Batch=1079, step=15480, lr=0.135750, batch loss=0.043738, epoch loss=2.075806 Batch=1139, step=15540, lr=0.135500, batch loss=0.104602, epoch loss=2.180407 Batch=1199, step=15600, lr=0.135250, batch loss=0.056062, epoch loss=2.236470 Epoch=12, step=15600, lr=0.135250, epoch loss=2.236470 Batch=59, step=15660, lr=0.135000, batch loss=0.078336, epoch loss=0.078336 Batch=119, step=15720, lr=0.134750, batch loss=0.139351, epoch loss=0.217687 Batch=179, step=15780, lr=0.134250, batch loss=0.097006, epoch loss=0.314693 Batch=239, step=15840, lr=0.134250, batch loss=0.093661, epoch loss=0.408354 Batch=299, step=15900, lr=0.134000, batch loss=0.041880, epoch loss=0.450234 Batch=359, step=15960, lr=0.133750, batch loss=0.077630, epoch loss=0.527864 Batch=419, step=16020, lr=0.133500, batch loss=0.078853, epoch loss=0.606717 Batch=479, step=16080, lr=0.133250, batch loss=0.070939, epoch loss=0.677657 Batch=539, step=16140, lr=0.133000, batch loss=0.056749, epoch loss=0.734406 Batch=599, step=16200, lr=0.132750, batch loss=0.100532, epoch loss=0.834938 Batch=659, step=16260, lr=0.132500, batch loss=0.074585, epoch loss=0.909523 Batch=719, step=16320, lr=0.132250, batch loss=0.083195, epoch loss=0.992718 Batch=779, step=16380, lr=0.132000, batch loss=0.105433, epoch loss=1.098151 Batch=839, step=16440, lr=0.131750, batch loss=0.119131, epoch loss=1.217282 Batch=899, step=16500, lr=0.131500, batch loss=0.157118, epoch loss=1.374400 Batch=959, step=16560, lr=0.131250, batch loss=0.043696, epoch loss=1.418096 Batch=1019, step=16620, lr=0.131000, batch loss=0.100050, epoch loss=1.518147 Batch=1079, step=16680, lr=0.130750, batch loss=0.028912, epoch loss=1.547059 Batch=1139, step=16740, lr=0.130500, batch loss=0.056061, epoch loss=1.603120 Batch=1199, step=16800, lr=0.130250, batch loss=0.029688, epoch loss=1.632808 Epoch=13, step=16800, lr=0.130250, epoch loss=1.632808 Batch=59, step=16860, lr=0.130000, batch loss=0.037582, epoch loss=0.037582 Batch=119, step=16920, lr=0.129750, batch loss=0.051985, epoch loss=0.089567 Batch=179, step=16980, lr=0.129500, batch loss=0.050168, epoch loss=0.139735 Batch=239, step=17040, lr=0.129000, batch loss=0.066434, epoch loss=0.206169 Batch=299, step=17100, lr=0.129000, batch loss=0.031982, epoch loss=0.238151 Batch=359, step=17160, lr=0.128750, batch loss=0.051885, epoch loss=0.290036 Batch=419, step=17220, lr=0.128500, batch loss=0.099882, epoch loss=0.389918 Batch=479, step=17280, lr=0.128250, batch loss=0.023659, epoch loss=0.413577 Batch=539, step=17340, lr=0.128000, batch loss=0.033793, epoch loss=0.447370 Batch=599, step=17400, lr=0.127500, batch loss=0.050888, epoch loss=0.498258 Batch=659, step=17460, lr=0.127250, batch loss=0.043835, epoch loss=0.542093 Batch=719, step=17520, lr=0.127250, batch loss=0.036827, epoch loss=0.578921 Batch=779, step=17580, lr=0.127000, batch loss=0.042658, epoch loss=0.621579 Batch=839, step=17640, lr=0.126750, batch loss=0.064273, epoch loss=0.685852 Batch=899, step=17700, lr=0.126250, batch loss=0.063227, epoch loss=0.749079 Batch=959, step=17760, lr=0.126250, batch loss=0.049097, epoch loss=0.798177 Batch=1019, step=17820, lr=0.126000, batch loss=0.033844, epoch loss=0.832021 Batch=1079, step=17880, lr=0.125750, batch loss=0.009416, epoch loss=0.841437 Batch=1139, step=17940, lr=0.125500, batch loss=0.028809, epoch loss=0.870246 Batch=1199, step=18000, lr=0.125250, batch loss=0.013761, epoch loss=0.884007 Epoch=14, step=18000, lr=0.125250, epoch loss=0.884007 Batch=59, step=18060, lr=0.125000, batch loss=0.010647, epoch loss=0.010647 Batch=119, step=18120, lr=0.124750, batch loss=0.020376, epoch loss=0.031023 Batch=179, step=18180, lr=0.124500, batch loss=0.049125, epoch loss=0.080148 Batch=239, step=18240, lr=0.124250, batch loss=0.033854, epoch loss=0.114002 Batch=299, step=18300, lr=0.123750, batch loss=0.008928, epoch loss=0.122930 Batch=359, step=18360, lr=0.123750, batch loss=0.021646, epoch loss=0.144576 Batch=419, step=18420, lr=0.123500, batch loss=0.027288, epoch loss=0.171864 Batch=479, step=18480, lr=0.123250, batch loss=0.020358, epoch loss=0.192222 Batch=539, step=18540, lr=0.123000, batch loss=0.049607, epoch loss=0.241829 Batch=599, step=18600, lr=0.122750, batch loss=0.025304, epoch loss=0.267133 Batch=659, step=18660, lr=0.122250, batch loss=0.032570, epoch loss=0.299703 Batch=719, step=18720, lr=0.122000, batch loss=0.048930, epoch loss=0.348633 Batch=779, step=18780, lr=0.121750, batch loss=0.114291, epoch loss=0.462924 Batch=839, step=18840, lr=0.121750, batch loss=0.058164, epoch loss=0.521088 Batch=899, step=18900, lr=0.121500, batch loss=0.057161, epoch loss=0.578249 Batch=959, step=18960, lr=0.121000, batch loss=0.014061, epoch loss=0.592311 Batch=1019, step=19020, lr=0.121000, batch loss=0.024627, epoch loss=0.616938 Batch=1079, step=19080, lr=0.120750, batch loss=0.010608, epoch loss=0.627546 Batch=1139, step=19140, lr=0.120500, batch loss=0.022360, epoch loss=0.649905 Batch=1199, step=19200, lr=0.120250, batch loss=0.009697, epoch loss=0.659602 Epoch=15, step=19200, lr=0.120250, epoch loss=0.659602 Batch=59, step=19260, lr=0.120000, batch loss=0.004309, epoch loss=0.004309 Batch=119, step=19320, lr=0.119750, batch loss=0.010818, epoch loss=0.015126 Batch=179, step=19380, lr=0.119250, batch loss=0.022774, epoch loss=0.037900 Batch=239, step=19440, lr=0.119250, batch loss=0.029387, epoch loss=0.067286 Batch=299, step=19500, lr=0.118750, batch loss=0.021956, epoch loss=0.089243 Batch=359, step=19560, lr=0.118750, batch loss=0.018702, epoch loss=0.107945 Batch=419, step=19620, lr=0.118500, batch loss=0.018767, epoch loss=0.126712 Batch=479, step=19680, lr=0.118250, batch loss=0.005157, epoch loss=0.131869 Batch=539, step=19740, lr=0.118000, batch loss=0.018455, epoch loss=0.150324 Batch=599, step=19800, lr=0.117750, batch loss=0.025369, epoch loss=0.175693 Batch=659, step=19860, lr=0.117500, batch loss=0.016606, epoch loss=0.192299 Batch=719, step=19920, lr=0.117250, batch loss=0.027491, epoch loss=0.219790 Batch=779, step=19980, lr=0.117000, batch loss=0.064579, epoch loss=0.284369 Batch=839, step=20040, lr=0.116750, batch loss=0.030434, epoch loss=0.314802 Batch=899, step=20100, lr=0.116500, batch loss=0.028942, epoch loss=0.343744 Batch=959, step=20160, lr=0.116250, batch loss=0.017081, epoch loss=0.360825 Batch=1019, step=20220, lr=0.116000, batch loss=0.015906, epoch loss=0.376731 Batch=1079, step=20280, lr=0.115750, batch loss=0.002916, epoch loss=0.379647 Batch=1139, step=20340, lr=0.115500, batch loss=0.014292, epoch loss=0.393939 Batch=1199, step=20400, lr=0.115250, batch loss=0.005677, epoch loss=0.399616 Epoch=16, step=20400, lr=0.115250, epoch loss=0.399616 Batch=59, step=20460, lr=0.115000, batch loss=0.002877, epoch loss=0.002877 Batch=119, step=20520, lr=0.114750, batch loss=0.010965, epoch loss=0.013842 Batch=179, step=20580, lr=0.114500, batch loss=0.025486, epoch loss=0.039328 Batch=239, step=20640, lr=0.114250, batch loss=0.013912, epoch loss=0.053240 Batch=299, step=20700, lr=0.114000, batch loss=0.006197, epoch loss=0.059437 Batch=359, step=20760, lr=0.113750, batch loss=0.013078, epoch loss=0.072515 Batch=419, step=20820, lr=0.113500, batch loss=0.016535, epoch loss=0.089049 Batch=479, step=20880, lr=0.113250, batch loss=0.005543, epoch loss=0.094593 Batch=539, step=20940, lr=0.113000, batch loss=0.015821, epoch loss=0.110414 Batch=599, step=21000, lr=0.112750, batch loss=0.018056, epoch loss=0.128471 Batch=659, step=21060, lr=0.112500, batch loss=0.014215, epoch loss=0.142686 Batch=719, step=21120, lr=0.112000, batch loss=0.038409, epoch loss=0.181094 Batch=779, step=21180, lr=0.111750, batch loss=0.066542, epoch loss=0.247636 Batch=839, step=21240, lr=0.111750, batch loss=0.024282, epoch loss=0.271918 Batch=899, step=21300, lr=0.111500, batch loss=0.027781, epoch loss=0.299699 Batch=959, step=21360, lr=0.111000, batch loss=0.010112, epoch loss=0.309811 Batch=1019, step=21420, lr=0.111000, batch loss=0.010549, epoch loss=0.320360 Batch=1079, step=21480, lr=0.110750, batch loss=0.001516, epoch loss=0.321876 Batch=1139, step=21540, lr=0.110250, batch loss=0.012528, epoch loss=0.334404 Batch=1199, step=21600, lr=0.110250, batch loss=0.004963, epoch loss=0.339367 Epoch=17, step=21600, lr=0.110250, epoch loss=0.339367 Batch=59, step=21660, lr=0.109750, batch loss=0.002069, epoch loss=0.002069 Batch=119, step=21720, lr=0.109500, batch loss=0.006636, epoch loss=0.008705 Batch=179, step=21780, lr=0.109250, batch loss=0.012672, epoch loss=0.021377 Batch=239, step=21840, lr=0.109000, batch loss=0.010081, epoch loss=0.031458 Batch=299, step=21900, lr=0.108750, batch loss=0.012890, epoch loss=0.044348 Batch=359, step=21960, lr=0.108750, batch loss=0.012684, epoch loss=0.057033 Batch=419, step=22020, lr=0.108250, batch loss=0.012015, epoch loss=0.069048 Batch=479, step=22080, lr=0.108250, batch loss=0.002847, epoch loss=0.071895 Batch=539, step=22140, lr=0.108000, batch loss=0.016883, epoch loss=0.088778 Batch=599, step=22200, lr=0.107750, batch loss=0.016288, epoch loss=0.105066 Batch=659, step=22260, lr=0.107500, batch loss=0.014837, epoch loss=0.119903 Batch=719, step=22320, lr=0.107250, batch loss=0.024397, epoch loss=0.144299 Batch=779, step=22380, lr=0.107000, batch loss=0.036911, epoch loss=0.181210 Batch=839, step=22440, lr=0.106750, batch loss=0.026993, epoch loss=0.208203 Batch=899, step=22500, lr=0.106500, batch loss=0.025137, epoch loss=0.233340 Batch=959, step=22560, lr=0.106250, batch loss=0.010140, epoch loss=0.243480 Batch=1019, step=22620, lr=0.106000, batch loss=0.009196, epoch loss=0.252676 Batch=1079, step=22680, lr=0.105750, batch loss=0.000626, epoch loss=0.253302 Batch=1139, step=22740, lr=0.105500, batch loss=0.010729, epoch loss=0.264031 Batch=1199, step=22800, lr=0.105250, batch loss=0.004762, epoch loss=0.268793 Epoch=18, step=22800, lr=0.105250, epoch loss=0.268793 Batch=59, step=22860, lr=0.105000, batch loss=0.002078, epoch loss=0.002078 Batch=119, step=22920, lr=0.104750, batch loss=0.005706, epoch loss=0.007784 Batch=179, step=22980, lr=0.104500, batch loss=0.010303, epoch loss=0.018087 Batch=239, step=23040, lr=0.104250, batch loss=0.008764, epoch loss=0.026851 Batch=299, step=23100, lr=0.104000, batch loss=0.006955, epoch loss=0.033806 Batch=359, step=23160, lr=0.103750, batch loss=0.011758, epoch loss=0.045564 Batch=419, step=23220, lr=0.103500, batch loss=0.010557, epoch loss=0.056122 Batch=479, step=23280, lr=0.103250, batch loss=0.002428, epoch loss=0.058550 Batch=539, step=23340, lr=0.103000, batch loss=0.016970, epoch loss=0.075520 Batch=599, step=23400, lr=0.102750, batch loss=0.013682, epoch loss=0.089203 Batch=659, step=23460, lr=0.102500, batch loss=0.012092, epoch loss=0.101295 Batch=719, step=23520, lr=0.102250, batch loss=0.014934, epoch loss=0.116229 Batch=779, step=23580, lr=0.102000, batch loss=0.019299, epoch loss=0.135528 Batch=839, step=23640, lr=0.101750, batch loss=0.027080, epoch loss=0.162607 Batch=899, step=23700, lr=0.101500, batch loss=0.021608, epoch loss=0.184215 Batch=959, step=23760, lr=0.101250, batch loss=0.009047, epoch loss=0.193262 Batch=1019, step=23820, lr=0.101000, batch loss=0.007035, epoch loss=0.200297 Batch=1079, step=23880, lr=0.100750, batch loss=0.001477, epoch loss=0.201774 Batch=1139, step=23940, lr=0.100500, batch loss=0.008203, epoch loss=0.209976 Batch=1199, step=24000, lr=0.100250, batch loss=0.004659, epoch loss=0.214635 Epoch=19, step=24000, lr=0.100250, epoch loss=0.214635 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##**********...........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######**********..........%........***************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-03-21 16:29.37 ---> saved as "0e69d79460761a47b1a741b8da2839f0bf369c756ce62e86300c785b985e5a2c" Job succeeded 2025-03-21 16:29.40: Job succeeded