2025-03-21 13:23.09: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (d63fdf0da2bdea174a1f4139e51107496c5013e8) (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 d63fdf0d 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 13:23.09: 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 13:23.09: 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 13:23.09: Waiting for resource in pool OCluster 2025-03-21 13:23.10: Waiting for worker… 2025-03-21 13:26.13: Got resource from pool OCluster Building on phoebe.caelum.ci.dev All commits already cached HEAD is now at d63fdf0d Expose and test the new unary ops (from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71) 2025-03-21 13:26.13 ---> using "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" from cache /: (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 13:26.13 ---> 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 13:27.40 ---> 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 13:27.41 ---> saved as "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 13:27.41 ---> 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..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 13:28.50 ---> saved as "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 13:28.50 ---> 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 13:28.55 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 13:28.55 ---> 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 0s (1022 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 13:29.22 ---> 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) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_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 dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> 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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (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 backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed csexp.1.5.2 -> installed multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ocaml-syntax-shims.1.0.0 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.0 -> 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 13:31.43 ---> saved as "8720c3d776a3e01524dbb3b3167035791e3aec306337f0c96114766155f1dcdc" /src: (copy (src .) (dst /src)) 2025-03-21 13:31.44 ---> saved as "c93b6fc1b116a59585eeb43793bdefcbcb6c6a8354750791414d5b3404574e35" /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/3aa39f150d697774cd1a6a33d78778dd/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/6bf41e350567bec305918c21ed6e5647/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/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/3aa39f150d697774cd1a6a33d78778dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/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/3aa39f150d697774cd1a6a33d78778dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/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/3aa39f150d697774cd1a6a33d78778dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/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/3aa39f150d697774cd1a6a33d78778dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/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/3aa39f150d697774cd1a6a33d78778dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/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/3aa39f150d697774cd1a6a33d78778dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/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/3aa39f150d697774cd1a6a33d78778dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/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/3aa39f150d697774cd1a6a33d78778dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/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/3aa39f150d697774cd1a6a33d78778dd/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/primitive_ops.ml", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/primitive_ops.ml _build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/default/test/primitive_ops.ml.corrected diff --git a/_build/default/test/primitive_ops.ml b/_build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/default/test/primitive_ops.ml.corrected index 18fb8fd..4dd32f4 100644 --- a/_build/default/test/primitive_ops.ml +++ b/_build/.sandbox/3aa39f150d697774cd1a6a33d78778dd/default/test/primitive_ops.ml.corrected @@ -534,48 +534,48 @@ let%expect_test "sqrt(x)" = [%expect {| ┌─────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐ - │ inf │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │f │ │ - │( │ │ - │x │ │ - │) │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ 0.00│*************************-*************** ********-******************************* **** *******-****│ + │ 2.23│ #│ + │ │ ##### │ + │ │ ##### │ + │ │ #### │ + │ │ ## ## │ + │ │ ##### │ + │ │ #### │ + │ │ ##### │ + │ │ #### │ + │ │ ## # │ + │ │ # ## │ + │ │ ### │ + │ │* #### │ + │ │ #### │ + │ │ # # │ + │ │ ### │ + │ │ ### │ + │ │ * ### │ + │f │ ## │ + │( │ ### │ + │x │ * ### │ + │) │ ## │ + │ │ * ## │ + │ │ # ## │ + │ │ * ## │ + │ │ * ## │ + │ │ ** # │ + │ │ *# │ + │ │ # ** │ + │ │ ## *** │ + │ │ # * * │ + │ │ # ***** │ + │ │ # ******** │ + │ │ # * ********** │ + │ │# * ************* **** │ + │ │ * ********************* ************ │ + │ │ *****│ + │ │ │ + │ │ │ + │ 0.00│- - - - - - - - - - - - - - - - - - - - │ ├─────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤ - │ │0.00 5.00│ + │ │1.00e-1 5.00│ │ │ x │ └─────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘ |}] @@ -585,7 +585,35 @@ let%expect_test "recip(x)" = let plot_box = plot_unop ~f ~x_min:0.1 ~x_max:5.0 () in PrintBox_text.output Stdio.stdout plot_box; (* FIXME: There's is a bug here in the shape inference. *) - [%expect {||}] + [%expect.unreachable] +[@@expect.uncaught_exn {| + (* CR expect_test_collector: This test expectation appears to contain a backtrace. + This is strongly discouraged as backtraces are fragile. + Please change this test to not include a backtrace. *) + (lib/shape.ml.Shape_error "Too many axes in a subtensor" + ((Row_mismatch + ((dims ()) (bcast Broadcastable) (id ((sh_id 8) (kind Input)))) + ((dims ((Var ((id 166) (label ()))))) + (bcast (Row_var (v (Row_var 167)) (beg_dims ()))) + (id ((sh_id 7) (kind Output))))))) + Raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", line 1087, characters 6-91 + Re-raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", lines 919-1151, characters 31-44 + Called from Ocannl__Row.solve_inequalities.solve.f in file "lib/row.ml", line 1293, characters 32-68 + Called from Base__List0.fold in file "src/list0.ml", line 43, characters 27-37 + Called from Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", line 1323, characters 22-56 + Re-raised at Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", lines 1276-1329, characters 16-25 + Called from Ocannl__Row.solve_inequalities in file "lib/row.ml", line 1332, characters 50-65 + Re-raised at Ocannl__Row.solve_inequalities in file "lib/row.ml", lines 1274-1355, characters 35-44 + Called from Ocannl__Shape.propagate_shapes in file "lib/shape.ml", line 609, characters 20-73 + Re-raised at Ocannl__Shape.propagate_shapes in file "lib/shape.ml", lines 602-612, characters 33-14 + Called from Base__List0.iter in file "src/list0.ml", line 66, characters 4-7 + Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 197, characters 2-57 + Called from Ocannl__Operation.recip.(fun) in file "lib/operation.ml", line 250, characters 53-69 + Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 265, characters 38-65 + Called from Tutorials__Primitive_ops.plot_unop in file "test/primitive_ops.ml", line 32, characters 14-17 + Called from Tutorials__Primitive_ops.(fun) in file "test/primitive_ops.ml", line 585, characters 17-54 + Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28 + |}] let%expect_test "recip_sqrt(x)" = let%op f x = recip_sqrt x in (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=0.199250, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.851101, epoch loss=35.626483 Batch=299, step=300, lr=0.198750, batch loss=1.445322, epoch loss=37.071804 Batch=359, step=360, lr=0.198750, batch loss=1.329270, epoch loss=38.401074 Batch=419, step=420, lr=0.198500, batch loss=0.619113, epoch loss=39.020187 Batch=479, step=480, lr=0.198250, batch loss=0.822066, epoch loss=39.842253 Batch=539, step=540, lr=0.198000, batch loss=0.691074, epoch loss=40.533328 Batch=599, step=600, lr=0.197750, batch loss=1.064255, epoch loss=41.597583 Batch=659, step=660, lr=0.197500, batch loss=0.483394, epoch loss=42.080977 Batch=719, step=720, lr=0.197250, batch loss=0.411381, epoch loss=42.492358 Batch=779, step=780, lr=0.196750, batch loss=0.470279, epoch loss=42.962638 Batch=839, step=840, lr=0.196750, batch loss=0.446735, epoch loss=43.409373 Batch=899, step=900, lr=0.196500, batch loss=0.382866, epoch loss=43.792239 Batch=959, step=960, lr=0.196250, batch loss=0.245556, epoch loss=44.037795 Batch=1019, step=1020, lr=0.195750, batch loss=0.466113, epoch loss=44.503908 Batch=1079, step=1080, lr=0.195500, batch loss=0.249173, epoch loss=44.753082 Batch=1139, step=1140, lr=0.195500, batch loss=0.317151, epoch loss=45.070233 Batch=1199, step=1200, lr=0.195250, batch loss=0.263996, epoch loss=45.334229 Epoch=0, step=1200, lr=0.195250, epoch loss=45.334229 Batch=59, step=1260, lr=0.195000, batch loss=0.262401, epoch loss=0.262401 Batch=119, step=1320, lr=0.194500, batch loss=0.205055, epoch loss=0.467456 Batch=179, step=1380, lr=0.194500, batch loss=0.243683, epoch loss=0.711139 Batch=239, step=1440, lr=0.194250, batch loss=0.346426, epoch loss=1.057565 Batch=299, step=1500, lr=0.193750, batch loss=0.239667, epoch loss=1.297232 Batch=359, step=1560, lr=0.193500, batch loss=0.310238, epoch loss=1.607469 Batch=419, step=1620, lr=0.193500, batch loss=0.310586, epoch loss=1.918055 Batch=479, step=1680, lr=0.193250, batch loss=0.274023, epoch loss=2.192078 Batch=539, step=1740, lr=0.192750, batch loss=0.212879, epoch loss=2.404957 Batch=599, step=1800, lr=0.192500, batch loss=0.258798, epoch loss=2.663756 Batch=659, step=1860, lr=0.192500, batch loss=0.378309, epoch loss=3.042065 Batch=719, step=1920, lr=0.192000, batch loss=0.355577, epoch loss=3.397642 Batch=779, step=1980, lr=0.191750, batch loss=0.382408, epoch loss=3.780049 Batch=839, step=2040, lr=0.191750, batch loss=0.340369, epoch loss=4.120419 Batch=899, step=2100, lr=0.191500, batch loss=0.294787, epoch loss=4.415205 Batch=959, step=2160, lr=0.191000, batch loss=0.214105, epoch loss=4.629310 Batch=1019, step=2220, lr=0.191000, batch loss=0.329272, epoch loss=4.958582 Batch=1079, step=2280, lr=0.190500, batch loss=0.196302, epoch loss=5.154884 Batch=1139, step=2340, lr=0.190500, batch loss=0.260226, epoch loss=5.415110 Batch=1199, step=2400, lr=0.190000, batch loss=0.210994, epoch loss=5.626104 Epoch=1, step=2400, lr=0.190000, epoch loss=5.626104 Batch=59, step=2460, lr=0.189750, batch loss=0.228928, epoch loss=0.228928 Batch=119, step=2520, lr=0.189500, batch loss=0.198279, epoch loss=0.427207 Batch=179, step=2580, lr=0.189250, batch loss=0.219112, epoch loss=0.646319 Batch=239, step=2640, lr=0.189000, batch loss=0.326902, epoch loss=0.973221 Batch=299, step=2700, lr=0.188750, batch loss=0.208431, epoch loss=1.181652 Batch=359, step=2760, lr=0.188500, batch loss=0.291875, epoch loss=1.473527 Batch=419, step=2820, lr=0.188500, batch loss=0.281895, epoch loss=1.755422 Batch=479, step=2880, lr=0.188000, batch loss=0.262797, epoch loss=2.018219 Batch=539, step=2940, lr=0.187750, batch loss=0.207795, epoch loss=2.226014 Batch=599, step=3000, lr=0.187500, batch loss=0.258266, epoch loss=2.484280 Batch=659, step=3060, lr=0.187250, batch loss=0.361807, epoch loss=2.846087 Batch=719, step=3120, lr=0.187000, batch loss=0.358548, epoch loss=3.204635 Batch=779, step=3180, lr=0.186750, batch loss=0.359811, epoch loss=3.564447 Batch=839, step=3240, lr=0.186750, batch loss=0.328484, epoch loss=3.892931 Batch=899, step=3300, lr=0.186500, batch loss=0.297273, epoch loss=4.190204 Batch=959, step=3360, lr=0.186250, batch loss=0.240340, epoch loss=4.430544 Batch=1019, step=3420, lr=0.186000, batch loss=0.368105, epoch loss=4.798649 Batch=1079, step=3480, lr=0.185750, batch loss=0.222698, epoch loss=5.021347 Batch=1139, step=3540, lr=0.185500, batch loss=0.263703, epoch loss=5.285050 Batch=1199, step=3600, lr=0.185000, batch loss=0.199773, epoch loss=5.484823 Epoch=2, step=3600, lr=0.185000, epoch loss=5.484823 Batch=59, step=3660, lr=0.185000, batch loss=0.226629, epoch loss=0.226629 Batch=119, step=3720, lr=0.184500, batch loss=0.187820, epoch loss=0.414450 Batch=179, step=3780, lr=0.184500, batch loss=0.213204, epoch loss=0.627653 Batch=239, step=3840, lr=0.184000, batch loss=0.316743, epoch loss=0.944396 Batch=299, step=3900, lr=0.184000, batch loss=0.203156, epoch loss=1.147553 Batch=359, step=3960, lr=0.183750, batch loss=0.288819, epoch loss=1.436372 Batch=419, step=4020, lr=0.183500, batch loss=0.273450, epoch loss=1.709822 Batch=479, step=4080, lr=0.183250, batch loss=0.253595, epoch loss=1.963417 Batch=539, step=4140, lr=0.183000, batch loss=0.193542, epoch loss=2.156959 Batch=599, step=4200, lr=0.182500, batch loss=0.232692, epoch loss=2.389650 Batch=659, step=4260, lr=0.182250, batch loss=0.334561, epoch loss=2.724211 Batch=719, step=4320, lr=0.182250, batch loss=0.342968, epoch loss=3.067179 Batch=779, step=4380, lr=0.182000, batch loss=0.352698, epoch loss=3.419877 Batch=839, step=4440, lr=0.181500, batch loss=0.317884, epoch loss=3.737762 Batch=899, step=4500, lr=0.181250, batch loss=0.292971, epoch loss=4.030732 Batch=959, step=4560, lr=0.181000, batch loss=0.239890, epoch loss=4.270622 Batch=1019, step=4620, lr=0.180750, batch loss=0.342044, epoch loss=4.612667 Batch=1079, step=4680, lr=0.180500, batch loss=0.213277, epoch loss=4.825944 Batch=1139, step=4740, lr=0.180250, batch loss=0.247176, epoch loss=5.073119 Batch=1199, step=4800, lr=0.180000, batch loss=0.191104, epoch loss=5.264223 Epoch=3, step=4800, lr=0.180000, epoch loss=5.264223 Batch=59, step=4860, lr=0.179750, batch loss=0.225309, epoch loss=0.225309 Batch=119, step=4920, lr=0.179500, batch loss=0.185717, epoch loss=0.411027 Batch=179, step=4980, lr=0.179250, batch loss=0.206616, epoch loss=0.617643 Batch=239, step=5040, lr=0.179250, batch loss=0.308959, epoch loss=0.926602 Batch=299, step=5100, lr=0.179000, batch loss=0.206377, epoch loss=1.132979 Batch=359, step=5160, lr=0.178500, batch loss=0.274585, epoch loss=1.407564 Batch=419, step=5220, lr=0.178500, batch loss=0.265420, epoch loss=1.672984 Batch=479, step=5280, lr=0.178250, batch loss=0.241313, epoch loss=1.914296 Batch=539, step=5340, lr=0.178000, batch loss=0.186463, epoch loss=2.100759 Batch=599, step=5400, lr=0.177750, batch loss=0.227662, epoch loss=2.328421 Batch=659, step=5460, lr=0.177500, batch loss=0.324403, epoch loss=2.652824 Batch=719, step=5520, lr=0.177250, batch loss=0.333259, epoch loss=2.986083 Batch=779, step=5580, lr=0.176750, batch loss=0.342431, epoch loss=3.328514 Batch=839, step=5640, lr=0.176500, batch loss=0.309744, epoch loss=3.638257 Batch=899, step=5700, lr=0.176500, batch loss=0.271041, epoch loss=3.909299 Batch=959, step=5760, lr=0.176000, batch loss=0.217825, epoch loss=4.127124 Batch=1019, step=5820, lr=0.176000, batch loss=0.332302, epoch loss=4.459426 Batch=1079, step=5880, lr=0.175500, batch loss=0.190561, epoch loss=4.649987 Batch=1139, step=5940, lr=0.175500, batch loss=0.220618, epoch loss=4.870605 Batch=1199, step=6000, lr=0.175250, batch loss=0.186533, epoch loss=5.057138 Epoch=4, step=6000, lr=0.175250, epoch loss=5.057138 Batch=59, step=6060, lr=0.174750, batch loss=0.224780, epoch loss=0.224780 Batch=119, step=6120, lr=0.174750, batch loss=0.185237, epoch loss=0.410017 Batch=179, step=6180, lr=0.174500, batch loss=0.201047, epoch loss=0.611064 Batch=239, step=6240, lr=0.174000, batch loss=0.299106, epoch loss=0.910170 Batch=299, step=6300, lr=0.173750, batch loss=0.197202, epoch loss=1.107371 Batch=359, step=6360, lr=0.173500, batch loss=0.265170, epoch loss=1.372542 Batch=419, step=6420, lr=0.173500, batch loss=0.261224, epoch loss=1.633766 Batch=479, step=6480, lr=0.173250, batch loss=0.236253, epoch loss=1.870019 Batch=539, step=6540, lr=0.173000, batch loss=0.187342, epoch loss=2.057361 Batch=599, step=6600, lr=0.172500, batch loss=0.226722, epoch loss=2.284083 Batch=659, step=6660, lr=0.172250, batch loss=0.315646, epoch loss=2.599729 Batch=719, step=6720, lr=0.172000, batch loss=0.315980, epoch loss=2.915709 Batch=779, step=6780, lr=0.171750, batch loss=0.331323, epoch loss=3.247032 Batch=839, step=6840, lr=0.171500, batch loss=0.305330, epoch loss=3.552361 Batch=899, step=6900, lr=0.171500, batch loss=0.265959, epoch loss=3.818321 Batch=959, step=6960, lr=0.171250, batch loss=0.212578, epoch loss=4.030898 Batch=1019, step=7020, lr=0.170750, batch loss=0.324207, epoch loss=4.355105 Batch=1079, step=7080, lr=0.170500, batch loss=0.175486, epoch loss=4.530591 Batch=1139, step=7140, lr=0.170500, batch loss=0.212739, epoch loss=4.743330 Batch=1199, step=7200, lr=0.170000, batch loss=0.195024, epoch loss=4.938354 Epoch=5, step=7200, lr=0.170000, epoch loss=4.938354 Batch=59, step=7260, lr=0.169750, batch loss=0.238767, epoch loss=0.238767 Batch=119, step=7320, lr=0.169750, batch loss=0.180238, epoch loss=0.419005 Batch=179, step=7380, lr=0.169250, batch loss=0.194442, epoch loss=0.613447 Batch=239, step=7440, lr=0.169000, batch loss=0.291207, epoch loss=0.904654 Batch=299, step=7500, lr=0.168750, batch loss=0.207290, epoch loss=1.111943 Batch=359, step=7560, lr=0.168500, batch loss=0.263837, epoch loss=1.375780 Batch=419, step=7620, lr=0.168250, batch loss=0.253896, epoch loss=1.629676 Batch=479, step=7680, lr=0.168000, batch loss=0.232319, epoch loss=1.861995 Batch=539, step=7740, lr=0.167750, batch loss=0.185711, epoch loss=2.047705 Batch=599, step=7800, lr=0.167500, batch loss=0.225187, epoch loss=2.272892 Batch=659, step=7860, lr=0.167250, batch loss=0.304400, epoch loss=2.577292 Batch=719, step=7920, lr=0.167000, batch loss=0.308461, epoch loss=2.885753 Batch=779, step=7980, lr=0.166750, batch loss=0.324627, epoch loss=3.210380 Batch=839, step=8040, lr=0.166500, batch loss=0.293325, epoch loss=3.503706 Batch=899, step=8100, lr=0.166250, batch loss=0.260822, epoch loss=3.764528 Batch=959, step=8160, lr=0.166000, batch loss=0.204000, epoch loss=3.968528 Batch=1019, step=8220, lr=0.165750, batch loss=0.317117, epoch loss=4.285645 Batch=1079, step=8280, lr=0.165750, batch loss=0.170240, epoch loss=4.455885 Batch=1139, step=8340, lr=0.165250, batch loss=0.207224, epoch loss=4.663109 Batch=1199, step=8400, lr=0.165000, batch loss=0.179568, epoch loss=4.842677 Epoch=6, step=8400, lr=0.165000, epoch loss=4.842677 Batch=59, step=8460, lr=0.164750, batch loss=0.227312, epoch loss=0.227312 Batch=119, step=8520, lr=0.164500, batch loss=0.175860, epoch loss=0.403171 Batch=179, step=8580, lr=0.164250, batch loss=0.187160, epoch loss=0.590331 Batch=239, step=8640, lr=0.164000, batch loss=0.275649, epoch loss=0.865981 Batch=299, step=8700, lr=0.163750, batch loss=0.185757, epoch loss=1.051738 Batch=359, step=8760, lr=0.163500, batch loss=0.244757, epoch loss=1.296494 Batch=419, step=8820, lr=0.163250, batch loss=0.241803, epoch loss=1.538298 Batch=479, step=8880, lr=0.163000, batch loss=0.223088, epoch loss=1.761386 Batch=539, step=8940, lr=0.162750, batch loss=0.184390, epoch loss=1.945775 Batch=599, step=9000, lr=0.162500, batch loss=0.211814, epoch loss=2.157589 Batch=659, step=9060, lr=0.162250, batch loss=0.293714, epoch loss=2.451303 Batch=719, step=9120, lr=0.162250, batch loss=0.294706, epoch loss=2.746009 Batch=779, step=9180, lr=0.162000, batch loss=0.314411, epoch loss=3.060420 Batch=839, step=9240, lr=0.161500, batch loss=0.287257, epoch loss=3.347677 Batch=899, step=9300, lr=0.161500, batch loss=0.250219, epoch loss=3.597896 Batch=959, step=9360, lr=0.161000, batch loss=0.190976, epoch loss=3.788872 Batch=1019, step=9420, lr=0.161000, batch loss=0.314238, epoch loss=4.103110 Batch=1079, step=9480, lr=0.160500, batch loss=0.191203, epoch loss=4.294313 Batch=1139, step=9540, lr=0.160250, batch loss=0.210606, epoch loss=4.504919 Batch=1199, step=9600, lr=0.160000, batch loss=0.167376, epoch loss=4.672295 Epoch=7, step=9600, lr=0.160000, epoch loss=4.672295 Batch=59, step=9660, lr=0.160000, batch loss=0.201549, epoch loss=0.201549 Batch=119, step=9720, lr=0.159500, batch loss=0.170320, epoch loss=0.371869 Batch=179, step=9780, lr=0.159500, batch loss=0.179531, epoch loss=0.551400 Batch=239, step=9840, lr=0.159250, batch loss=0.262722, epoch loss=0.814122 Batch=299, step=9900, lr=0.159000, batch loss=0.184898, epoch loss=0.999020 Batch=359, step=9960, lr=0.158500, batch loss=0.239102, epoch loss=1.238122 Batch=419, step=10020, lr=0.158500, batch loss=0.233939, epoch loss=1.472061 Batch=479, step=10080, lr=0.158250, batch loss=0.220462, epoch loss=1.692523 Batch=539, step=10140, lr=0.157750, batch loss=0.164972, epoch loss=1.857495 Batch=599, step=10200, lr=0.157750, batch loss=0.203578, epoch loss=2.061073 Batch=659, step=10260, lr=0.157500, batch loss=0.280053, epoch loss=2.341126 Batch=719, step=10320, lr=0.157250, batch loss=0.286434, epoch loss=2.627561 Batch=779, step=10380, lr=0.157000, batch loss=0.293872, epoch loss=2.921432 Batch=839, step=10440, lr=0.156500, batch loss=0.267197, epoch loss=3.188629 Batch=899, step=10500, lr=0.156500, batch loss=0.237720, epoch loss=3.426350 Batch=959, step=10560, lr=0.156250, batch loss=0.177173, epoch loss=3.603523 Batch=1019, step=10620, lr=0.156000, batch loss=0.301829, epoch loss=3.905352 Batch=1079, step=10680, lr=0.155500, batch loss=0.175865, epoch loss=4.081217 Batch=1139, step=10740, lr=0.155500, batch loss=0.201991, epoch loss=4.283208 Batch=1199, step=10800, lr=0.155250, batch loss=0.155898, epoch loss=4.439106 Epoch=8, step=10800, lr=0.155250, epoch loss=4.439106 Batch=59, step=10860, lr=0.155000, batch loss=0.176869, epoch loss=0.176869 Batch=119, step=10920, lr=0.154500, batch loss=0.154151, epoch loss=0.331019 Batch=179, step=10980, lr=0.154250, batch loss=0.167124, epoch loss=0.498143 Batch=239, step=11040, lr=0.154250, batch loss=0.246354, epoch loss=0.744497 Batch=299, step=11100, lr=0.154000, batch loss=0.162392, epoch loss=0.906889 Batch=359, step=11160, lr=0.153750, batch loss=0.225841, epoch loss=1.132730 Batch=419, step=11220, lr=0.153500, batch loss=0.228471, epoch loss=1.361201 Batch=479, step=11280, lr=0.153000, batch loss=0.203587, epoch loss=1.564788 Batch=539, step=11340, lr=0.153000, batch loss=0.159094, epoch loss=1.723883 Batch=599, step=11400, lr=0.152500, batch loss=0.180401, epoch loss=1.904284 Batch=659, step=11460, lr=0.152250, batch loss=0.263891, epoch loss=2.168174 Batch=719, step=11520, lr=0.152000, batch loss=0.257614, epoch loss=2.425788 Batch=779, step=11580, lr=0.152000, batch loss=0.272595, epoch loss=2.698383 Batch=839, step=11640, lr=0.151750, batch loss=0.256892, epoch loss=2.955275 Batch=899, step=11700, lr=0.151500, batch loss=0.218172, epoch loss=3.173447 Batch=959, step=11760, lr=0.151250, batch loss=0.177042, epoch loss=3.350488 Batch=1019, step=11820, lr=0.151000, batch loss=0.258651, epoch loss=3.609139 Batch=1079, step=11880, lr=0.150750, batch loss=0.139358, epoch loss=3.748497 Batch=1139, step=11940, lr=0.150250, batch loss=0.175272, epoch loss=3.923769 Batch=1199, step=12000, lr=0.150250, batch loss=0.138884, epoch loss=4.062652 Epoch=9, step=12000, lr=0.150250, epoch loss=4.062652 Batch=59, step=12060, lr=0.150000, batch loss=0.162042, epoch loss=0.162042 Batch=119, step=12120, lr=0.149750, batch loss=0.137448, epoch loss=0.299491 Batch=179, step=12180, lr=0.149500, batch loss=0.151121, epoch loss=0.450612 Batch=239, step=12240, lr=0.149250, batch loss=0.220515, epoch loss=0.671127 Batch=299, step=12300, lr=0.149000, batch loss=0.141696, epoch loss=0.812823 Batch=359, step=12360, lr=0.148750, batch loss=0.200289, epoch loss=1.013111 Batch=419, step=12420, lr=0.148250, batch loss=0.204631, epoch loss=1.217742 Batch=479, step=12480, lr=0.148000, batch loss=0.181633, epoch loss=1.399375 Batch=539, step=12540, lr=0.148000, batch loss=0.141834, epoch loss=1.541208 Batch=599, step=12600, lr=0.147750, batch loss=0.150710, epoch loss=1.691918 Batch=659, step=12660, lr=0.147250, batch loss=0.226191, epoch loss=1.918109 Batch=719, step=12720, lr=0.147000, batch loss=0.241794, epoch loss=2.159903 Batch=779, step=12780, lr=0.147000, batch loss=0.262725, epoch loss=2.422628 Batch=839, step=12840, lr=0.146500, batch loss=0.237610, epoch loss=2.660238 Batch=899, step=12900, lr=0.146250, batch loss=0.223561, epoch loss=2.883799 Batch=959, step=12960, lr=0.146000, batch loss=0.144318, epoch loss=3.028117 Batch=1019, step=13020, lr=0.145750, batch loss=0.219508, epoch loss=3.247625 Batch=1079, step=13080, lr=0.145750, batch loss=0.111260, epoch loss=3.358886 Batch=1139, step=13140, lr=0.145250, batch loss=0.144184, epoch loss=3.503069 Batch=1199, step=13200, lr=0.145250, batch loss=0.121159, epoch loss=3.624228 Epoch=10, step=13200, lr=0.145250, epoch loss=3.624228 Batch=59, step=13260, lr=0.145000, batch loss=0.148520, epoch loss=0.148520 Batch=119, step=13320, lr=0.144750, batch loss=0.132895, epoch loss=0.281414 Batch=179, step=13380, lr=0.144500, batch loss=0.130709, epoch loss=0.412124 Batch=239, step=13440, lr=0.144250, batch loss=0.190545, epoch loss=0.602669 Batch=299, step=13500, lr=0.144000, batch loss=0.114638, epoch loss=0.717307 Batch=359, step=13560, lr=0.143750, batch loss=0.162837, epoch loss=0.880144 Batch=419, step=13620, lr=0.143500, batch loss=0.161534, epoch loss=1.041678 Batch=479, step=13680, lr=0.143000, batch loss=0.149513, epoch loss=1.191190 Batch=539, step=13740, lr=0.143000, batch loss=0.118605, epoch loss=1.309796 Batch=599, step=13800, lr=0.142750, batch loss=0.121883, epoch loss=1.431678 Batch=659, step=13860, lr=0.142500, batch loss=0.181929, epoch loss=1.613607 Batch=719, step=13920, lr=0.142250, batch loss=0.196311, epoch loss=1.809918 Batch=779, step=13980, lr=0.142000, batch loss=0.236856, epoch loss=2.046774 Batch=839, step=14040, lr=0.141750, batch loss=0.197599, epoch loss=2.244373 Batch=899, step=14100, lr=0.141500, batch loss=0.211438, epoch loss=2.455812 Batch=959, step=14160, lr=0.141250, batch loss=0.105725, epoch loss=2.561536 Batch=1019, step=14220, lr=0.140750, batch loss=0.196543, epoch loss=2.758079 Batch=1079, step=14280, lr=0.140500, batch loss=0.080019, epoch loss=2.838098 Batch=1139, step=14340, lr=0.140500, batch loss=0.130015, epoch loss=2.968113 Batch=1199, step=14400, lr=0.140000, batch loss=0.089521, epoch loss=3.057635 Epoch=11, step=14400, lr=0.140000, epoch loss=3.057635 Batch=59, step=14460, lr=0.140000, batch loss=0.118332, epoch loss=0.118332 Batch=119, step=14520, lr=0.139750, batch loss=0.108758, epoch loss=0.227090 Batch=179, step=14580, lr=0.139500, batch loss=0.103377, epoch loss=0.330468 Batch=239, step=14640, lr=0.139250, batch loss=0.143864, epoch loss=0.474332 Batch=299, step=14700, lr=0.138750, batch loss=0.079093, epoch loss=0.553425 Batch=359, step=14760, lr=0.138750, batch loss=0.121958, epoch loss=0.675383 Batch=419, step=14820, lr=0.138500, batch loss=0.133639, epoch loss=0.809022 Batch=479, step=14880, lr=0.138000, batch loss=0.103172, epoch loss=0.912194 Batch=539, step=14940, lr=0.138000, batch loss=0.111312, epoch loss=1.023507 Batch=599, step=15000, lr=0.137750, batch loss=0.086512, epoch loss=1.110019 Batch=659, step=15060, lr=0.137500, batch loss=0.132326, epoch loss=1.242345 Batch=719, step=15120, lr=0.137250, batch loss=0.120583, epoch loss=1.362928 Batch=779, step=15180, lr=0.137000, batch loss=0.121322, epoch loss=1.484250 Batch=839, step=15240, lr=0.136500, batch loss=0.122238, epoch loss=1.606488 Batch=899, step=15300, lr=0.136500, batch loss=0.105526, epoch loss=1.712014 Batch=959, step=15360, lr=0.136250, batch loss=0.088830, epoch loss=1.800844 Batch=1019, step=15420, lr=0.136000, batch loss=0.089869, epoch loss=1.890713 Batch=1079, step=15480, lr=0.135750, batch loss=0.074298, epoch loss=1.965011 Batch=1139, step=15540, lr=0.135500, batch loss=0.154372, epoch loss=2.119383 Batch=1199, step=15600, lr=0.135250, batch loss=0.057738, epoch loss=2.177121 Epoch=12, step=15600, lr=0.135250, epoch loss=2.177121 Batch=59, step=15660, lr=0.135000, batch loss=0.081174, epoch loss=0.081174 Batch=119, step=15720, lr=0.134750, batch loss=0.113027, epoch loss=0.194201 Batch=179, step=15780, lr=0.134500, batch loss=0.097281, epoch loss=0.291482 Batch=239, step=15840, lr=0.134250, batch loss=0.097510, epoch loss=0.388992 Batch=299, step=15900, lr=0.133750, batch loss=0.044056, epoch loss=0.433048 Batch=359, step=15960, lr=0.133750, batch loss=0.079922, epoch loss=0.512970 Batch=419, step=16020, lr=0.133500, batch loss=0.083585, epoch loss=0.596555 Batch=479, step=16080, lr=0.133250, batch loss=0.068240, epoch loss=0.664794 Batch=539, step=16140, lr=0.133000, batch loss=0.060174, epoch loss=0.724969 Batch=599, step=16200, lr=0.132750, batch loss=0.133678, epoch loss=0.858647 Batch=659, step=16260, lr=0.132250, batch loss=0.085484, epoch loss=0.944131 Batch=719, step=16320, lr=0.132250, batch loss=0.148778, epoch loss=1.092908 Batch=779, step=16380, lr=0.132000, batch loss=0.422472, epoch loss=1.515380 Batch=839, step=16440, lr=0.131500, batch loss=0.111164, epoch loss=1.626544 Batch=899, step=16500, lr=0.131500, batch loss=0.092565, epoch loss=1.719109 Batch=959, step=16560, lr=0.131250, batch loss=0.036285, epoch loss=1.755394 Batch=1019, step=16620, lr=0.131000, batch loss=0.080342, epoch loss=1.835736 Batch=1079, step=16680, lr=0.130750, batch loss=0.036019, epoch loss=1.871755 Batch=1139, step=16740, lr=0.130500, batch loss=0.070523, epoch loss=1.942278 Batch=1199, step=16800, lr=0.130250, batch loss=0.034663, epoch loss=1.976941 Epoch=13, step=16800, lr=0.130250, epoch loss=1.976941 Batch=59, step=16860, lr=0.130000, batch loss=0.040907, epoch loss=0.040907 Batch=119, step=16920, lr=0.129750, batch loss=0.044717, epoch loss=0.085624 Batch=179, step=16980, lr=0.129500, batch loss=0.049277, epoch loss=0.134901 Batch=239, step=17040, lr=0.129250, batch loss=0.065434, epoch loss=0.200335 Batch=299, step=17100, lr=0.129000, batch loss=0.023672, epoch loss=0.224007 Batch=359, step=17160, lr=0.128750, batch loss=0.046061, epoch loss=0.270067 Batch=419, step=17220, lr=0.128500, batch loss=0.067084, epoch loss=0.337151 Batch=479, step=17280, lr=0.128250, batch loss=0.023862, epoch loss=0.361013 Batch=539, step=17340, lr=0.128000, batch loss=0.028533, epoch loss=0.389546 Batch=599, step=17400, lr=0.127750, batch loss=0.039087, epoch loss=0.428633 Batch=659, step=17460, lr=0.127500, batch loss=0.058943, epoch loss=0.487577 Batch=719, step=17520, lr=0.127250, batch loss=0.075184, epoch loss=0.562760 Batch=779, step=17580, lr=0.127000, batch loss=0.064973, epoch loss=0.627733 Batch=839, step=17640, lr=0.126750, batch loss=0.103693, epoch loss=0.731426 Batch=899, step=17700, lr=0.126500, batch loss=0.049362, epoch loss=0.780788 Batch=959, step=17760, lr=0.126250, batch loss=0.018750, epoch loss=0.799539 Batch=1019, step=17820, lr=0.126000, batch loss=0.056151, epoch loss=0.855689 Batch=1079, step=17880, lr=0.125750, batch loss=0.044464, epoch loss=0.900153 Batch=1139, step=17940, lr=0.125500, batch loss=0.082068, epoch loss=0.982221 Batch=1199, step=18000, lr=0.125250, batch loss=0.025410, epoch loss=1.007631 Epoch=14, step=18000, lr=0.125250, epoch loss=1.007631 Batch=59, step=18060, lr=0.125000, batch loss=0.016937, epoch loss=0.016937 Batch=119, step=18120, lr=0.124750, batch loss=0.019478, epoch loss=0.036415 Batch=179, step=18180, lr=0.124500, batch loss=0.029767, epoch loss=0.066183 Batch=239, step=18240, lr=0.124250, batch loss=0.039195, epoch loss=0.105378 Batch=299, step=18300, lr=0.124000, batch loss=0.015976, epoch loss=0.121354 Batch=359, step=18360, lr=0.123750, batch loss=0.025299, epoch loss=0.146653 Batch=419, step=18420, lr=0.123500, batch loss=0.032770, epoch loss=0.179423 Batch=479, step=18480, lr=0.123250, batch loss=0.028438, epoch loss=0.207861 Batch=539, step=18540, lr=0.123000, batch loss=0.055506, epoch loss=0.263367 Batch=599, step=18600, lr=0.122750, batch loss=0.028076, epoch loss=0.291443 Batch=659, step=18660, lr=0.122500, batch loss=0.033176, epoch loss=0.324619 Batch=719, step=18720, lr=0.122250, batch loss=0.050078, epoch loss=0.374697 Batch=779, step=18780, lr=0.122000, batch loss=0.115724, epoch loss=0.490422 Batch=839, step=18840, lr=0.121750, batch loss=0.051413, epoch loss=0.541835 Batch=899, step=18900, lr=0.121500, batch loss=0.051276, epoch loss=0.593111 Batch=959, step=18960, lr=0.121250, batch loss=0.013733, epoch loss=0.606844 Batch=1019, step=19020, lr=0.121000, batch loss=0.024473, epoch loss=0.631317 Batch=1079, step=19080, lr=0.120750, batch loss=0.009354, epoch loss=0.640670 Batch=1139, step=19140, lr=0.120250, batch loss=0.023831, epoch loss=0.664502 Batch=1199, step=19200, lr=0.120250, batch loss=0.010134, epoch loss=0.674636 Epoch=15, step=19200, lr=0.120250, epoch loss=0.674636 Batch=59, step=19260, lr=0.119750, batch loss=0.005258, epoch loss=0.005258 Batch=119, step=19320, lr=0.119500, batch loss=0.018455, epoch loss=0.023713 Batch=179, step=19380, lr=0.119500, batch loss=0.054069, epoch loss=0.077782 Batch=239, step=19440, lr=0.119250, batch loss=0.023225, epoch loss=0.101007 Batch=299, step=19500, lr=0.119000, batch loss=0.018652, epoch loss=0.119659 Batch=359, step=19560, lr=0.118750, batch loss=0.034327, epoch loss=0.153986 Batch=419, step=19620, lr=0.118500, batch loss=0.020462, epoch loss=0.174448 Batch=479, step=19680, lr=0.118250, batch loss=0.007618, epoch loss=0.182066 Batch=539, step=19740, lr=0.118000, batch loss=0.019828, epoch loss=0.201893 Batch=599, step=19800, lr=0.117750, batch loss=0.023848, epoch loss=0.225741 Batch=659, step=19860, lr=0.117500, batch loss=0.020449, epoch loss=0.246190 Batch=719, step=19920, lr=0.117250, batch loss=0.053956, epoch loss=0.300146 Batch=779, step=19980, lr=0.117000, batch loss=0.085934, epoch loss=0.386080 Batch=839, step=20040, lr=0.116750, batch loss=0.031258, epoch loss=0.417338 Batch=899, step=20100, lr=0.116500, batch loss=0.031825, epoch loss=0.449162 Batch=959, step=20160, lr=0.116250, batch loss=0.011325, epoch loss=0.460488 Batch=1019, step=20220, lr=0.116000, batch loss=0.014791, epoch loss=0.475279 Batch=1079, step=20280, lr=0.115750, batch loss=0.001852, epoch loss=0.477131 Batch=1139, step=20340, lr=0.115500, batch loss=0.015207, epoch loss=0.492338 Batch=1199, step=20400, lr=0.115250, batch loss=0.006929, epoch loss=0.499267 Epoch=16, step=20400, lr=0.115250, epoch loss=0.499267 Batch=59, step=20460, lr=0.115000, batch loss=0.003379, epoch loss=0.003379 Batch=119, step=20520, lr=0.114500, batch loss=0.009234, epoch loss=0.012613 Batch=179, step=20580, lr=0.114500, batch loss=0.020818, epoch loss=0.033431 Batch=239, step=20640, lr=0.114000, batch loss=0.019584, epoch loss=0.053014 Batch=299, step=20700, lr=0.113750, batch loss=0.011108, epoch loss=0.064123 Batch=359, step=20760, lr=0.113500, batch loss=0.014783, epoch loss=0.078906 Batch=419, step=20820, lr=0.113500, batch loss=0.014784, epoch loss=0.093690 Batch=479, step=20880, lr=0.113250, batch loss=0.003888, epoch loss=0.097578 Batch=539, step=20940, lr=0.112750, batch loss=0.016376, epoch loss=0.113954 Batch=599, step=21000, lr=0.112500, batch loss=0.017363, epoch loss=0.131317 Batch=659, step=21060, lr=0.112250, batch loss=0.014529, epoch loss=0.145846 Batch=719, step=21120, lr=0.112000, batch loss=0.040460, epoch loss=0.186306 Batch=779, step=21180, lr=0.112000, batch loss=0.066189, epoch loss=0.252495 Batch=839, step=21240, lr=0.111500, batch loss=0.025269, epoch loss=0.277763 Batch=899, step=21300, lr=0.111500, batch loss=0.027800, epoch loss=0.305564 Batch=959, step=21360, lr=0.111000, batch loss=0.010251, epoch loss=0.315815 Batch=1019, step=21420, lr=0.111000, batch loss=0.010414, epoch loss=0.326229 Batch=1079, step=21480, lr=0.110750, batch loss=0.001822, epoch loss=0.328050 Batch=1139, step=21540, lr=0.110250, batch loss=0.012534, epoch loss=0.340585 Batch=1199, step=21600, lr=0.110000, batch loss=0.004965, epoch loss=0.345549 Epoch=17, step=21600, lr=0.110000, epoch loss=0.345549 Batch=59, step=21660, lr=0.110000, batch loss=0.002629, epoch loss=0.002629 Batch=119, step=21720, lr=0.109500, batch loss=0.006560, epoch loss=0.009189 Batch=179, step=21780, lr=0.109500, batch loss=0.012970, epoch loss=0.022159 Batch=239, step=21840, lr=0.109000, batch loss=0.009595, epoch loss=0.031754 Batch=299, step=21900, lr=0.108750, batch loss=0.001741, epoch loss=0.033495 Batch=359, step=21960, lr=0.108750, batch loss=0.010974, epoch loss=0.044469 Batch=419, step=22020, lr=0.108500, batch loss=0.011597, epoch loss=0.056066 Batch=479, step=22080, lr=0.108000, batch loss=0.003516, epoch loss=0.059582 Batch=539, step=22140, lr=0.108000, batch loss=0.016372, epoch loss=0.075954 Batch=599, step=22200, lr=0.107500, batch loss=0.015162, epoch loss=0.091116 Batch=659, step=22260, lr=0.107500, batch loss=0.013049, epoch loss=0.104165 Batch=719, step=22320, lr=0.107000, batch loss=0.021201, epoch loss=0.125366 Batch=779, step=22380, lr=0.106750, batch loss=0.032911, epoch loss=0.158278 Batch=839, step=22440, lr=0.106750, batch loss=0.026749, epoch loss=0.185027 Batch=899, step=22500, lr=0.106250, batch loss=0.026320, epoch loss=0.211347 Batch=959, step=22560, lr=0.106000, batch loss=0.008827, epoch loss=0.220174 Batch=1019, step=22620, lr=0.106000, batch loss=0.008595, epoch loss=0.228769 Batch=1079, step=22680, lr=0.105500, batch loss=0.000956, epoch loss=0.229725 Batch=1139, step=22740, lr=0.105250, batch loss=0.010110, epoch loss=0.239834 Batch=1199, step=22800, lr=0.105000, batch loss=0.004971, epoch loss=0.244805 Epoch=18, step=22800, lr=0.105000, epoch loss=0.244805 Batch=59, step=22860, lr=0.105000, batch loss=0.001857, epoch loss=0.001857 Batch=119, step=22920, lr=0.104500, batch loss=0.005376, epoch loss=0.007233 Batch=179, step=22980, lr=0.104500, batch loss=0.011328, epoch loss=0.018561 Batch=239, step=23040, lr=0.104000, batch loss=0.009357, epoch loss=0.027918 Batch=299, step=23100, lr=0.104000, batch loss=0.012621, epoch loss=0.040540 Batch=359, step=23160, lr=0.103500, batch loss=0.011393, epoch loss=0.051932 Batch=419, step=23220, lr=0.103500, batch loss=0.010640, epoch loss=0.062573 Batch=479, step=23280, lr=0.103250, batch loss=0.002673, epoch loss=0.065246 Batch=539, step=23340, lr=0.102750, batch loss=0.016685, epoch loss=0.081930 Batch=599, step=23400, lr=0.102500, batch loss=0.013782, epoch loss=0.095712 Batch=659, step=23460, lr=0.102250, batch loss=0.010574, epoch loss=0.106286 Batch=719, step=23520, lr=0.102000, batch loss=0.017094, epoch loss=0.123380 Batch=779, step=23580, lr=0.101750, batch loss=0.022658, epoch loss=0.146038 Batch=839, step=23640, lr=0.101750, batch loss=0.028003, epoch loss=0.174042 Batch=899, step=23700, lr=0.101250, batch loss=0.021350, epoch loss=0.195391 Batch=959, step=23760, lr=0.101000, batch loss=0.008014, epoch loss=0.203406 Batch=1019, step=23820, lr=0.100750, batch loss=0.006958, epoch loss=0.210363 Batch=1079, step=23880, lr=0.100750, batch loss=0.000840, epoch loss=0.211204 Batch=1139, step=23940, lr=0.100250, batch loss=0.008812, epoch loss=0.220015 Batch=1199, step=24000, lr=0.100000, batch loss=0.004202, epoch loss=0.224217 Epoch=19, step=24000, lr=0.100000, epoch loss=0.224217 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#***********************************....│ │*******######**##*************....*****************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########**************************........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########*********************.......%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###*******************........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####****************...........%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###*************.............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│ │#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-03-21 13:32.56: Job failed: Failed: Build failed