2025-05-22 12:20.03: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (9afb61d245b2724d2132450805c8b080ac7e0c9a) (linux-x86_64:debian-12-5.3+flambda_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 9afb61d2 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4 # debian-12-5.3+flambda_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 c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-22 12:20.03: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4-debian-12-5.3+flambda_opam-2.3-3f0f1993e262afb948f4ec8f371e6e58" 2025-05-22 12:20.03: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4) (comment debian-12-5.3+flambda_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 c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-22 12:20.03: Waiting for resource in pool OCluster 2025-05-22 12:20.03: Waiting for worker… 2025-05-22 12:20.03: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 9afb61d2 In progress / broken: Format -> PPrint migration first pass by Claude (from ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4) 2025-05-22 12:20.04 ---> using "21ca48779d7c8771accdf60eb888012ef48685ba9d539046f9f2e6ce2db9408d" from cache /: (comment debian-12-5.3+flambda_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-22 12:20.04 ---> using "c3f3aa93c3355a64826565104635ed2c75e43663faf3bb1239283e2d0babab60" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y [NOTE] The 'jobs' option was reset, its value was 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 ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-22 12:20.04 ---> using "292270fbfb1491d8dafae52ea17d8b381a33866b2212919c484f3fdce286b697" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-22 12:20.04 ---> using "3a794d0297d6d3662e91621faf2070f604c02f28ce3386d50957daf0a3b38339" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-22 12:20.04 ---> using "ec8f95289b8846ee13cf13cb3aea5f3aff51a6aaee7942d4311969425d84ec7c" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..27f5ac67c2 master -> origin/master c7d6d1d2aa Merge pull request #27880 from MisterDA/os-family-fedora <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-22 12:20.04 ---> using "f6d37af8382af8452b0afd00b405c94f4fd850985794ed76fd36d55411640fd5" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-22 12:20.04 ---> using "28f0e2ce2bd84e5fdf4e9b751e90aeb7839b8951a7f3ff049d8c4ee2d0ebe35d" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-22 12:20.04 ---> using "96bc84b811273e1b692a4a468915ea678a0f9edb0ed69fc9933102ae180f461e" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-22 12:20.04 ---> using "6aa67413b9e26b265ea29d1480ad9b5ff5d2b3fe007d440fbc7cd1631ef5eb13" from cache /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-syntax-shims.1.0.0 ocaml-variants.5.3.0+options ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB] - 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 bookworm/main amd64 Packages [8793 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [259 kB] - Fetched 9306 kB in 2s (5066 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-variants is already installed (current version is 5.3.0+options). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev 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 ... 18778 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) ... 2025-05-22 12:20.04 ---> using "54ac0e1ab51681b2d6eb838d0ccbc0990b31104365e523fc053b4c6a0b7b3960" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-variants is already installed (current version is 5.3.0+options). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> installed conf-pkg-config.4 -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved csexp.1.5.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppx_minidebug.2.2.0 (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.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed mtime.2.1.0 -> installed uutf.1.0.4 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed re.1.12.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed ctypes-foreign.0.23.0 -> installed base.v0.17.2 -> installed printbox-md.0.12 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-22 12:20.04 ---> using "ee0d62991985a0c96562cd79fbbad9f4ef129ea6b986ee48a35d1944601b8bd6" from cache /src: (copy (src .) (dst /src)) 2025-05-22 12:20.04 ---> saved as "2fca0e2947aa08b442ffb88e484d4f2a755090c7cdd5b50cb26dee5004d7b344" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/89bb3fcc0655bd8df341430360f2ada7/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 30-40, characters 0-281: 30 | (rule 31 | (alias runtest) 32 | (target 33 | (dir log_files)) 34 | (action 35 | (run 36 | %{dep:micrograd_demo_logging.exe} 37 | "--ocannl_debug_backend=text" 38 | "--ocannl_log_file_stem=micrograd_demo_logging" 39 | "--ocannl_log_main_domain_to_stdout=false" 40 | "--ocannl_debug_log_to_stream_files=true"))) (cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true) 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 Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Retrieving commandline, environment, or config file variable ocannl_cd_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Found true, commandline --ocannl_debug_log_to_stream_files=true 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 Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50 Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml" (inlined), line 242, characters 21-46 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42 Called from Stdlib__Map.Make.fold in file "map.ml" (inlined), lines 325-329, characters 17-42 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml" (inlined), lines 325-329, characters 17-42 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml" (inlined), lines 325-329, characters 17-42 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml" (inlined), lines 325-329, characters 17-42 Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64 Called from PrintBox_text.Output.to_chan in file "src/printbox-text/PrintBox_text.ml" (inlined), line 269, characters 39-70 Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31 Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59 Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38 Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82 Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92 Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92 Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77 (cd _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/micrograd_demo.ml", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/micrograd_demo.ml _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/micrograd_demo.ml.corrected diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/micrograd_demo.ml.corrected index 77e46c6..3cb470c 100644 --- a/_build/default/test/micrograd_demo.ml +++ b/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/micrograd_demo.ml.corrected @@ -52,15 +52,14 @@ let%expect_test "Micrograd README basic example" = │├┼───────┤ │ │││ -4.00 │ │ │└┴───────┘ │ - └─────────────────┘ - ┌────────────────────────┐ - │[0]: a shape 0:1 grad_a│ - │┌┬─────────┐ │ - │││axis 0 │ │ - │├┼─────────┤ │ - │││ 1.38e+2 │ │ - │└┴─────────┘ │ - └────────────────────────┘ + └─────────────────┘┌────────────────────────┐ + │[0]: a shape 0:1 grad_a│ + │┌┬─────────┐ │ + │││axis 0 │ │ + │├┼─────────┤ │ + │││ 1.38e+2 │ │ + │└┴─────────┘ │ + └────────────────────────┘ |}]; Tensor.print ~with_code:false ~with_grad:true `Default b; [%expect @@ -72,15 +71,14 @@ let%expect_test "Micrograd README basic example" = │├┼──────┤ │ │││ 2.00 │ │ │└┴──────┘ │ - └─────────────────┘ - ┌────────────────────────┐ - │[2]: b shape 0:1 grad_b│ - │┌┬─────────┐ │ - │││axis 0 │ │ - │├┼─────────┤ │ - │││ 6.45e+2 │ │ - │└┴─────────┘ │ - └────────────────────────┘ + └─────────────────┘┌────────────────────────┐ + │[2]: b shape 0:1 grad_b│ + │┌┬─────────┐ │ + │││axis 0 │ │ + │├┼─────────┤ │ + │││ 6.45e+2 │ │ + │└┴─────────┘ │ + └────────────────────────┘ |}] let%expect_test "Micrograd half-moons example" = File "test/hello_world_op.ml", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/hello_world_op.ml _build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/hello_world_op.ml.corrected diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/hello_world_op.ml.corrected index ba9d7ef..6b90c44 100644 --- a/_build/default/test/hello_world_op.ml +++ b/_build/.sandbox/691975734bc573740bb06ef58e1e4132/default/test/hello_world_op.ml.corrected @@ -102,36 +102,39 @@ let%expect_test "Print constant tensor" = let%op hey = [ (1, 2, 3); (4, 5, 6) ] in Train.forward_and_forget backend ctx hey; Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey; - [%expect {| [1.00, 2.00, 3.00; 4.00, 5.00, 6.00] |}]; + [%expect {| [ 1.00 , 2.00 , 3.00 ; 4.00 , 5.00 , 6.00 ][0]: c2x3_hey shape 1:3->0:2 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hey; [%expect {| - ┌─────────────────────────────────────────────────────────────┐ - │[0]: [1.00, 2.00, 3.00; 4.00, 5.00, 6.00]_hey shape 1:3->0:2 │ - │┌──────┬──────────────────┐ │ - ││ │axis 1 │ │ - │├──────┼──────────────────┤ │ - ││axis 0│ 1.00 2.00 3.00 │ │ - ││ │ 4.00 5.00 6.00 │ │ - │└──────┴──────────────────┘ │ - └─────────────────────────────────────────────────────────────┘ + ┌─────────────────────────────┐ + │[0]: c2x3_hey shape 1:3->0:2 │ + │┌──────┬──────────────────┐ │ + ││ │axis 1 │ │ + │├──────┼──────────────────┤ │ + ││axis 0│ 1.00 2.00 3.00 │ │ + ││ │ 4.00 5.00 6.00 │ │ + │└──────┴──────────────────┘ │ + └─────────────────────────────┘ |}]; let%op hoo = [| [ 1; 2; 3 ]; [ 4; 5; 6 ] |] in Train.forward_and_forget backend ctx hoo; Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo; - [%expect {| [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|] |}]; + [%expect {| + [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |][1]: c2x3_hoo shape + 0:2|1:3 + |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo; [%expect {| - ┌──────────────────────────────────────────────────────────────────┐ - │[1]: [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|]_hoo shape 0:2|1:3 │ - │┌──────┬──────────────────┐ │ - ││ │axis 1 │ │ - │├──────┼──────────────────┤ │ - ││axis 0│ 1.00 2.00 3.00 │ │ - ││ │ 4.00 5.00 6.00 │ │ - │└──────┴──────────────────┘ │ - └──────────────────────────────────────────────────────────────────┘ + ┌────────────────────────────┐ + │[1]: c2x3_hoo shape 0:2|1:3 │ + │┌──────┬──────────────────┐ │ + ││ │axis 1 │ │ + │├──────┼──────────────────┤ │ + ││axis 0│ 1.00 2.00 3.00 │ │ + ││ │ 4.00 5.00 6.00 │ │ + │└──────┴──────────────────┘ │ + └────────────────────────────┘ |}]; let%op hey2 = [ @@ -145,10 +148,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey2; [%expect {| - [(1.00, 2.00, 3.00), (4.00, 5.00, 6.00); - (7.00, 8.00, 9.00), (10.00, 11.00, 12.00); - (13.00, 14.00, 15.00), (16.00, 17.00, 18.00); - (19.00, 20.00, 21.00), (22.00, 23.00, 24.00)] + [ + ( 1.00 , 2.00 , 3.00 ) , ( 4.00 , 5.00 , 6.00 ) + ; ( 7.00 , 8.00 , 9.00 ) , ( 10.00 , 11.00 , 12.00 ) + ; ( 13.00 , 14.00 , 15.00 ) , ( 16.00 , 17.00 , 18.00 ) + ; ( 19.00 , 20.00 , 21.00 ) , ( 22.00 , 23.00 , 24.00 ) + ][2]: c4x2x3_hey2 shape 1:2,2:3->0:4 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hey2; [%expect @@ -178,10 +183,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo2; [%expect {| - [|[[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]]; - [[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]]; - [[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]]; - [[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]]|] + [| + [ [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] ] + ; [ [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] ] + ; [ [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] ] + ; [ [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] ] + |][3]: c4x2x3_hoo2 shape 0:4|1:2,2:3 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo2; [%expect @@ -209,10 +216,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo; [%expect {| - [|[|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|]; - [|[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]|]; - [|[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]|]; - [|[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]|]|] + [| + [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |] + ; [| [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] |] + ; [| [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] |] + ; [| [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] |] + |][4]: c4x2x3_heyhoo shape 0:4,1:2|2:3 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo; [%expect @@ -241,14 +250,23 @@ let%expect_test "Print constant tensor" = [%expect {| [| - [|[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]]; - [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]|]; - [|[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]]; - [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]|]; - [|[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]]; - [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]|]; - [|[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]]; - [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]|]|] + [| + [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ] + ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ] + |] + ; [| + [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ] + ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ] + |] + ; [| + [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ] + ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ] + |] + ; [| + [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ] + ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ] + |] + |][5]: c4x2x3x2_heyhoo2 shape 0:4,1:2|2:3,3:2 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo2; [%expect @@ -295,15 +313,26 @@ let%expect_test "Print constant tensor" = {| [| [| - [[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]]; - [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]]; - [[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]]; - [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]]|]; - [| - [[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]]; - [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]]; - [[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]]; - [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]]|]|] + [ + [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ] + ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ] + ] + ; [ + [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ] + ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ] + ] + |] + ; [| + [ + [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ] + ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ] + ] + ; [ + [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ] + ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ] + ] + |] + |][6]: c2x2x2x3x2_heyhoo3 shape 0:2,1:2|2:2,3:3,4:2 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo3; [%expect @@ -355,15 +384,26 @@ let%expect_test "Print constant tensor" = {| [| [ - [[1.00, 31.00; 2.00, 32.00; 3.00, 33.00]; - [4.00, 34.00; 5.00, 35.00; 6.00, 36.00]]; - [[7.00, 37.00; 8.00, 38.00; 9.00, 39.00]; - [10.00, 40.00; 11.00, 41.00; 12.00, 42.00]]]; - [ - [[13.00, 43.00; 14.00, 44.00; 15.00, 45.00]; - [16.00, 46.00; 17.00, 47.00; 18.00, 48.00]]; - [[19.00, 49.00; 20.00, 50.00; 21.00, 51.00]; - [22.00, 52.00; 23.00, 53.00; 24.00, 54.00]]]|] + [ + [ 1.00 , 31.00 ; 2.00 , 32.00 ; 3.00 , 33.00 ] + ; [ 4.00 , 34.00 ; 5.00 , 35.00 ; 6.00 , 36.00 ] + ] + ; [ + [ 7.00 , 37.00 ; 8.00 , 38.00 ; 9.00 , 39.00 ] + ; [ 10.00 , 40.00 ; 11.00 , 41.00 ; 12.00 , 42.00 ] + ] + ] + ; [ + [ + [ 13.00 , 43.00 ; 14.00 , 44.00 ; 15.00 , 45.00 ] + ; [ 16.00 , 46.00 ; 17.00 , 47.00 ; 18.00 , 48.00 ] + ] + ; [ + [ 19.00 , 49.00 ; 20.00 , 50.00 ; 21.00 , 51.00 ] + ; [ 22.00 , 52.00 ; 23.00 , 53.00 ; 24.00 , 54.00 ] + ] + ] + |][7]: c2x2x2x3x2_heyhoo4 shape 0:2|4:2->1:2,2:2,3:3 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo4; [%expect @@ -462,8 +502,29 @@ let%expect_test "Big matrix" = Tensor.print ~with_code:false ~with_grad:false `Inline zero_to_twenty; [%expect {| - [0.00; 1.00; 2.00; 3.00; 4.00; 5.00; 6.00; 7.00; 8.00; 9.00; 10.00; 11.00; - 12.00; 13.00; 14.00; 15.00; 16.00; 17.00; 18.00; 19.00; 20.00] + [ + 0.00 + ; 1.00 + ; 2.00 + ; 3.00 + ; 4.00 + ; 5.00 + ; 6.00 + ; 7.00 + ; 8.00 + ; 9.00 + ; 10.00 + ; 11.00 + ; 12.00 + ; 13.00 + ; 14.00 + ; 15.00 + ; 16.00 + ; 17.00 + ; 18.00 + ; 19.00 + ; 20.00 + ][2]: 0...20 shape 0:21 |}]; Tensor.print ~with_code:false ~with_grad:false `Default zero_to_twenty; [%expect (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 multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689 Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495 Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314 Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518 Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460 Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885 Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660 Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955 Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988 Batch=1079, step=8280, lr=0.165500, batch loss=0.172099, epoch loss=4.447087 Batch=1139, step=8340, lr=0.165500, batch loss=0.209686, epoch loss=4.656773 Batch=1199, step=8400, lr=0.165250, batch loss=0.178207, epoch loss=4.834981 Epoch=6, step=8400, lr=0.165250, epoch loss=4.834981 Batch=59, step=8460, lr=0.165000, batch loss=0.229878, epoch loss=0.229878 Batch=119, step=8520, lr=0.164750, batch loss=0.174934, epoch loss=0.404811 Batch=179, step=8580, lr=0.164500, batch loss=0.187797, epoch loss=0.592608 Batch=239, step=8640, lr=0.164250, batch loss=0.278256, epoch loss=0.870864 Batch=299, step=8700, lr=0.164000, batch loss=0.191876, epoch loss=1.062740 Batch=359, step=8760, lr=0.163750, batch loss=0.248738, epoch loss=1.311478 Batch=419, step=8820, lr=0.163500, batch loss=0.245511, epoch loss=1.556989 Batch=479, step=8880, lr=0.163250, batch loss=0.228692, epoch loss=1.785681 Batch=539, step=8940, lr=0.163000, batch loss=0.178022, epoch loss=1.963703 Batch=599, step=9000, lr=0.162750, batch loss=0.217515, epoch loss=2.181218 Batch=659, step=9060, lr=0.162500, batch loss=0.294741, epoch loss=2.475958 Batch=719, step=9120, lr=0.162250, batch loss=0.296529, epoch loss=2.772488 Batch=779, step=9180, lr=0.162000, batch loss=0.316606, epoch loss=3.089094 Batch=839, step=9240, lr=0.161750, batch loss=0.287322, epoch loss=3.376416 Batch=899, step=9300, lr=0.161500, batch loss=0.250979, epoch loss=3.627395 Batch=959, step=9360, lr=0.161250, batch loss=0.190698, epoch loss=3.818093 Batch=1019, step=9420, lr=0.161000, batch loss=0.311482, epoch loss=4.129575 Batch=1079, step=9480, lr=0.160750, batch loss=0.191842, epoch loss=4.321417 Batch=1139, step=9540, lr=0.160500, batch loss=0.215646, epoch loss=4.537064 Batch=1199, step=9600, lr=0.160250, batch loss=0.165615, epoch loss=4.702678 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702678 Batch=59, step=9660, lr=0.160000, batch loss=0.197342, epoch loss=0.197342 Batch=119, step=9720, lr=0.159750, batch loss=0.165381, epoch loss=0.362722 Batch=179, step=9780, lr=0.159500, batch loss=0.179272, epoch loss=0.541994 Batch=239, step=9840, lr=0.159250, batch loss=0.263895, epoch loss=0.805889 Batch=299, step=9900, lr=0.159000, batch loss=0.182048, epoch loss=0.987937 Batch=359, step=9960, lr=0.158750, batch loss=0.240968, epoch loss=1.228905 Batch=419, step=10020, lr=0.158500, batch loss=0.232887, epoch loss=1.461792 Batch=479, step=10080, lr=0.158250, batch loss=0.213304, epoch loss=1.675096 Batch=539, step=10140, lr=0.158000, batch loss=0.170580, epoch loss=1.845675 Batch=599, step=10200, lr=0.157750, batch loss=0.200381, epoch loss=2.046057 Batch=659, step=10260, lr=0.157500, batch loss=0.282939, epoch loss=2.328996 Batch=719, step=10320, lr=0.157250, batch loss=0.279264, epoch loss=2.608260 Batch=779, step=10380, lr=0.157000, batch loss=0.300545, epoch loss=2.908805 Batch=839, step=10440, lr=0.156750, batch loss=0.270843, epoch loss=3.179648 Batch=899, step=10500, lr=0.156500, batch loss=0.239858, epoch loss=3.419506 Batch=959, step=10560, lr=0.156250, batch loss=0.197370, epoch loss=3.616876 Batch=1019, step=10620, lr=0.156000, batch loss=0.282265, epoch loss=3.899141 Batch=1079, step=10680, lr=0.155750, batch loss=0.167874, epoch loss=4.067015 Batch=1139, step=10740, lr=0.155500, batch loss=0.197740, epoch loss=4.264755 Batch=1199, step=10800, lr=0.155250, batch loss=0.155116, epoch loss=4.419871 Epoch=8, step=10800, lr=0.155250, epoch loss=4.419871 Batch=59, step=10860, lr=0.155000, batch loss=0.194964, epoch loss=0.194964 Batch=119, step=10920, lr=0.154750, batch loss=0.160445, epoch loss=0.355408 Batch=179, step=10980, lr=0.154500, batch loss=0.167942, epoch loss=0.523351 Batch=239, step=11040, lr=0.154250, batch loss=0.244617, epoch loss=0.767967 Batch=299, step=11100, lr=0.154000, batch loss=0.166118, epoch loss=0.934085 Batch=359, step=11160, lr=0.153750, batch loss=0.222548, epoch loss=1.156633 Batch=419, step=11220, lr=0.153500, batch loss=0.227455, epoch loss=1.384088 Batch=479, step=11280, lr=0.153250, batch loss=0.204072, epoch loss=1.588159 Batch=539, step=11340, lr=0.153000, batch loss=0.157477, epoch loss=1.745636 Batch=599, step=11400, lr=0.152750, batch loss=0.179074, epoch loss=1.924710 Batch=659, step=11460, lr=0.152500, batch loss=0.265782, epoch loss=2.190492 Batch=719, step=11520, lr=0.152250, batch loss=0.258643, epoch loss=2.449135 Batch=779, step=11580, lr=0.152000, batch loss=0.274270, epoch loss=2.723405 Batch=839, step=11640, lr=0.151750, batch loss=0.254919, epoch loss=2.978324 Batch=899, step=11700, lr=0.151500, batch loss=0.213221, epoch loss=3.191545 Batch=959, step=11760, lr=0.151250, batch loss=0.166597, epoch loss=3.358142 Batch=1019, step=11820, lr=0.151000, batch loss=0.267670, epoch loss=3.625812 Batch=1079, step=11880, lr=0.150750, batch loss=0.147572, epoch loss=3.773384 Batch=1139, step=11940, lr=0.150500, batch loss=0.186985, epoch loss=3.960370 Batch=1199, step=12000, lr=0.150250, batch loss=0.139069, epoch loss=4.099439 Epoch=9, step=12000, lr=0.150250, epoch loss=4.099439 Batch=59, step=12060, lr=0.150000, batch loss=0.162367, epoch loss=0.162367 Batch=119, step=12120, lr=0.149750, batch loss=0.135129, epoch loss=0.297496 Batch=179, step=12180, lr=0.149500, batch loss=0.150624, epoch loss=0.448120 Batch=239, step=12240, lr=0.149250, batch loss=0.218431, epoch loss=0.666551 Batch=299, step=12300, lr=0.149000, batch loss=0.141827, epoch loss=0.808377 Batch=359, step=12360, lr=0.148750, batch loss=0.197393, epoch loss=1.005771 Batch=419, step=12420, lr=0.148500, batch loss=0.206608, epoch loss=1.212378 Batch=479, step=12480, lr=0.148250, batch loss=0.177442, epoch loss=1.389820 Batch=539, step=12540, lr=0.148000, batch loss=0.142525, epoch loss=1.532346 Batch=599, step=12600, lr=0.147750, batch loss=0.148226, epoch loss=1.680571 Batch=659, step=12660, lr=0.147500, batch loss=0.227339, epoch loss=1.907910 Batch=719, step=12720, lr=0.147250, batch loss=0.233010, epoch loss=2.140920 Batch=779, step=12780, lr=0.147000, batch loss=0.254135, epoch loss=2.395055 Batch=839, step=12840, lr=0.146750, batch loss=0.226181, epoch loss=2.621237 Batch=899, step=12900, lr=0.146500, batch loss=0.193382, epoch loss=2.814618 Batch=959, step=12960, lr=0.146250, batch loss=0.161132, epoch loss=2.975750 Batch=1019, step=13020, lr=0.146000, batch loss=0.260923, epoch loss=3.236673 Batch=1079, step=13080, lr=0.145750, batch loss=0.115469, epoch loss=3.352142 Batch=1139, step=13140, lr=0.145500, batch loss=0.153933, epoch loss=3.506075 Batch=1199, step=13200, lr=0.145250, batch loss=0.117363, epoch loss=3.623438 Epoch=10, step=13200, lr=0.145250, epoch loss=3.623438 Batch=59, step=13260, lr=0.145000, batch loss=0.143936, epoch loss=0.143936 Batch=119, step=13320, lr=0.144750, batch loss=0.124509, epoch loss=0.268444 Batch=179, step=13380, lr=0.144500, batch loss=0.130308, epoch loss=0.398752 Batch=239, step=13440, lr=0.144250, batch loss=0.189873, epoch loss=0.588625 Batch=299, step=13500, lr=0.144000, batch loss=0.111333, epoch loss=0.699958 Batch=359, step=13560, lr=0.143750, batch loss=0.162030, epoch loss=0.861989 Batch=419, step=13620, lr=0.143500, batch loss=0.159688, epoch loss=1.021677 Batch=479, step=13680, lr=0.143250, batch loss=0.147308, epoch loss=1.168985 Batch=539, step=13740, lr=0.143000, batch loss=0.115886, epoch loss=1.284870 Batch=599, step=13800, lr=0.142750, batch loss=0.120115, epoch loss=1.404985 Batch=659, step=13860, lr=0.142500, batch loss=0.179954, epoch loss=1.584939 Batch=719, step=13920, lr=0.142250, batch loss=0.196672, epoch loss=1.781611 Batch=779, step=13980, lr=0.142000, batch loss=0.231402, epoch loss=2.013014 Batch=839, step=14040, lr=0.141750, batch loss=0.198500, epoch loss=2.211514 Batch=899, step=14100, lr=0.141500, batch loss=0.206894, epoch loss=2.418408 Batch=959, step=14160, lr=0.141250, batch loss=0.106951, epoch loss=2.525359 Batch=1019, step=14220, lr=0.141000, batch loss=0.190634, epoch loss=2.715993 Batch=1079, step=14280, lr=0.140750, batch loss=0.077410, epoch loss=2.793402 Batch=1139, step=14340, lr=0.140500, batch loss=0.120731, epoch loss=2.914134 Batch=1199, step=14400, lr=0.140250, batch loss=0.086428, epoch loss=3.000562 Epoch=11, step=14400, lr=0.140250, epoch loss=3.000562 Batch=59, step=14460, lr=0.140000, batch loss=0.103804, epoch loss=0.103804 Batch=119, step=14520, lr=0.139750, batch loss=0.099337, epoch loss=0.203141 Batch=179, step=14580, lr=0.139500, batch loss=0.099579, epoch loss=0.302721 Batch=239, step=14640, lr=0.139250, batch loss=0.140178, epoch loss=0.442899 Batch=299, step=14700, lr=0.139000, batch loss=0.077403, epoch loss=0.520301 Batch=359, step=14760, lr=0.138750, batch loss=0.119622, epoch loss=0.639924 Batch=419, step=14820, lr=0.138500, batch loss=0.130157, epoch loss=0.770081 Batch=479, step=14880, lr=0.138250, batch loss=0.101563, epoch loss=0.871644 Batch=539, step=14940, lr=0.138000, batch loss=0.110514, epoch loss=0.982158 Batch=599, step=15000, lr=0.137750, batch loss=0.084744, epoch loss=1.066902 Batch=659, step=15060, lr=0.137500, batch loss=0.139189, epoch loss=1.206090 Batch=719, step=15120, lr=0.137250, batch loss=0.160796, epoch loss=1.366887 Batch=779, step=15180, lr=0.137000, batch loss=0.254734, epoch loss=1.621621 Batch=839, step=15240, lr=0.136750, batch loss=0.135939, epoch loss=1.757559 Batch=899, step=15300, lr=0.136500, batch loss=0.146432, epoch loss=1.903991 Batch=959, step=15360, lr=0.136250, batch loss=0.076220, epoch loss=1.980212 Batch=1019, step=15420, lr=0.136000, batch loss=0.164320, epoch loss=2.144532 Batch=1079, step=15480, lr=0.135750, batch loss=0.040574, epoch loss=2.185106 Batch=1139, step=15540, lr=0.135500, batch loss=0.094555, epoch loss=2.279661 Batch=1199, step=15600, lr=0.135250, batch loss=0.060108, epoch loss=2.339769 Epoch=12, step=15600, lr=0.135250, epoch loss=2.339769 Batch=59, step=15660, lr=0.135000, batch loss=0.084183, epoch loss=0.084183 Batch=119, step=15720, lr=0.134750, batch loss=0.147987, epoch loss=0.232169 Batch=179, step=15780, lr=0.134500, batch loss=0.102927, epoch loss=0.335096 Batch=239, step=15840, lr=0.134250, batch loss=0.098909, epoch loss=0.434005 Batch=299, step=15900, lr=0.134000, batch loss=0.043856, epoch loss=0.477861 Batch=359, step=15960, lr=0.133750, batch loss=0.082291, epoch loss=0.560152 Batch=419, step=16020, lr=0.133500, batch loss=0.079843, epoch loss=0.639996 Batch=479, step=16080, lr=0.133250, batch loss=0.060119, epoch loss=0.700114 Batch=539, step=16140, lr=0.133000, batch loss=0.061897, epoch loss=0.762011 Batch=599, step=16200, lr=0.132750, batch loss=0.134167, epoch loss=0.896179 Batch=659, step=16260, lr=0.132500, batch loss=0.084858, epoch loss=0.981037 Batch=719, step=16320, lr=0.132250, batch loss=0.120304, epoch loss=1.101341 Batch=779, step=16380, lr=0.132000, batch loss=0.292037, epoch loss=1.393378 Batch=839, step=16440, lr=0.131750, batch loss=0.091850, epoch loss=1.485228 Batch=899, step=16500, lr=0.131500, batch loss=0.078039, epoch loss=1.563267 Batch=959, step=16560, lr=0.131250, batch loss=0.032100, epoch loss=1.595367 Batch=1019, step=16620, lr=0.131000, batch loss=0.070238, epoch loss=1.665605 Batch=1079, step=16680, lr=0.130750, batch loss=0.043108, epoch loss=1.708713 Batch=1139, step=16740, lr=0.130500, batch loss=0.077692, epoch loss=1.786405 Batch=1199, step=16800, lr=0.130250, batch loss=0.037087, epoch loss=1.823492 Epoch=13, step=16800, lr=0.130250, epoch loss=1.823492 Batch=59, step=16860, lr=0.130000, batch loss=0.034076, epoch loss=0.034076 Batch=119, step=16920, lr=0.129750, batch loss=0.037744, epoch loss=0.071820 Batch=179, step=16980, lr=0.129500, batch loss=0.043298, epoch loss=0.115118 Batch=239, step=17040, lr=0.129250, batch loss=0.057628, epoch loss=0.172746 Batch=299, step=17100, lr=0.129000, batch loss=0.018925, epoch loss=0.191672 Batch=359, step=17160, lr=0.128750, batch loss=0.042383, epoch loss=0.234054 Batch=419, step=17220, lr=0.128500, batch loss=0.045780, epoch loss=0.279835 Batch=479, step=17280, lr=0.128250, batch loss=0.024364, epoch loss=0.304198 Batch=539, step=17340, lr=0.128000, batch loss=0.030391, epoch loss=0.334589 Batch=599, step=17400, lr=0.127750, batch loss=0.035068, epoch loss=0.369657 Batch=659, step=17460, lr=0.127500, batch loss=0.048140, epoch loss=0.417797 Batch=719, step=17520, lr=0.127250, batch loss=0.057325, epoch loss=0.475123 Batch=779, step=17580, lr=0.127000, batch loss=0.077219, epoch loss=0.552342 Batch=839, step=17640, lr=0.126750, batch loss=0.182024, epoch loss=0.734366 Batch=899, step=17700, lr=0.126500, batch loss=0.061792, epoch loss=0.796158 Batch=959, step=17760, lr=0.126250, batch loss=0.021472, epoch loss=0.817630 Batch=1019, step=17820, lr=0.126000, batch loss=0.032998, epoch loss=0.850628 Batch=1079, step=17880, lr=0.125750, batch loss=0.012688, epoch loss=0.863316 Batch=1139, step=17940, lr=0.125500, batch loss=0.034047, epoch loss=0.897363 Batch=1199, step=18000, lr=0.125250, batch loss=0.014590, epoch loss=0.911954 Epoch=14, step=18000, lr=0.125250, epoch loss=0.911954 Batch=59, step=18060, lr=0.125000, batch loss=0.012686, epoch loss=0.012686 Batch=119, step=18120, lr=0.124750, batch loss=0.022939, epoch loss=0.035624 Batch=179, step=18180, lr=0.124500, batch loss=0.046522, epoch loss=0.082147 Batch=239, step=18240, lr=0.124250, batch loss=0.038252, epoch loss=0.120399 Batch=299, step=18300, lr=0.124000, batch loss=0.016519, epoch loss=0.136917 Batch=359, step=18360, lr=0.123750, batch loss=0.024589, epoch loss=0.161506 Batch=419, step=18420, lr=0.123500, batch loss=0.031735, epoch loss=0.193241 Batch=479, step=18480, lr=0.123250, batch loss=0.025120, epoch loss=0.218361 Batch=539, step=18540, lr=0.123000, batch loss=0.055951, epoch loss=0.274313 Batch=599, step=18600, lr=0.122750, batch loss=0.028455, epoch loss=0.302768 Batch=659, step=18660, lr=0.122500, batch loss=0.034128, epoch loss=0.336895 Batch=719, step=18720, lr=0.122250, batch loss=0.048738, epoch loss=0.385633 Batch=779, step=18780, lr=0.122000, batch loss=0.117375, epoch loss=0.503008 Batch=839, step=18840, lr=0.121750, batch loss=0.056132, epoch loss=0.559139 Batch=899, step=18900, lr=0.121500, batch loss=0.051139, epoch loss=0.610278 Batch=959, step=18960, lr=0.121250, batch loss=0.014297, epoch loss=0.624575 Batch=1019, step=19020, lr=0.121000, batch loss=0.026785, epoch loss=0.651360 Batch=1079, step=19080, lr=0.120750, batch loss=0.011511, epoch loss=0.662871 Batch=1139, step=19140, lr=0.120500, batch loss=0.023034, epoch loss=0.685904 Batch=1199, step=19200, lr=0.120250, batch loss=0.009928, epoch loss=0.695832 Epoch=15, step=19200, lr=0.120250, epoch loss=0.695832 Batch=59, step=19260, lr=0.120000, batch loss=0.004749, epoch loss=0.004749 Batch=119, step=19320, lr=0.119750, batch loss=0.011759, epoch loss=0.016508 Batch=179, step=19380, lr=0.119500, batch loss=0.021693, epoch loss=0.038201 Batch=239, step=19440, lr=0.119250, batch loss=0.024080, epoch loss=0.062281 Batch=299, step=19500, lr=0.119000, batch loss=0.017968, epoch loss=0.080249 Batch=359, step=19560, lr=0.118750, batch loss=0.034796, epoch loss=0.115045 Batch=419, step=19620, lr=0.118500, batch loss=0.021239, epoch loss=0.136283 Batch=479, step=19680, lr=0.118250, batch loss=0.009529, epoch loss=0.145812 Batch=539, step=19740, lr=0.118000, batch loss=0.018323, epoch loss=0.164135 Batch=599, step=19800, lr=0.117750, batch loss=0.024489, epoch loss=0.188624 Batch=659, step=19860, lr=0.117500, batch loss=0.021755, epoch loss=0.210380 Batch=719, step=19920, lr=0.117250, batch loss=0.051379, epoch loss=0.261758 Batch=779, step=19980, lr=0.117000, batch loss=0.078267, epoch loss=0.340025 Batch=839, step=20040, lr=0.116750, batch loss=0.030117, epoch loss=0.370142 Batch=899, step=20100, lr=0.116500, batch loss=0.031078, epoch loss=0.401220 Batch=959, step=20160, lr=0.116250, batch loss=0.012080, epoch loss=0.413301 Batch=1019, step=20220, lr=0.116000, batch loss=0.015467, epoch loss=0.428768 Batch=1079, step=20280, lr=0.115750, batch loss=0.002211, epoch loss=0.430978 Batch=1139, step=20340, lr=0.115500, batch loss=0.015382, epoch loss=0.446361 Batch=1199, step=20400, lr=0.115250, batch loss=0.006396, epoch loss=0.452757 Epoch=16, step=20400, lr=0.115250, epoch loss=0.452757 Batch=59, step=20460, lr=0.115000, batch loss=0.003119, epoch loss=0.003119 Batch=119, step=20520, lr=0.114750, batch loss=0.008535, epoch loss=0.011654 Batch=179, step=20580, lr=0.114500, batch loss=0.016372, epoch loss=0.028026 Batch=239, step=20640, lr=0.114250, batch loss=0.014539, epoch loss=0.042565 Batch=299, step=20700, lr=0.114000, batch loss=0.004102, epoch loss=0.046667 Batch=359, step=20760, lr=0.113750, batch loss=0.013648, epoch loss=0.060315 Batch=419, step=20820, lr=0.113500, batch loss=0.017672, epoch loss=0.077988 Batch=479, step=20880, lr=0.113250, batch loss=0.005727, epoch loss=0.083714 Batch=539, step=20940, lr=0.113000, batch loss=0.016267, epoch loss=0.099981 Batch=599, step=21000, lr=0.112750, batch loss=0.018888, epoch loss=0.118869 Batch=659, step=21060, lr=0.112500, batch loss=0.013763, epoch loss=0.132632 Batch=719, step=21120, lr=0.112250, batch loss=0.032082, epoch loss=0.164714 Batch=779, step=21180, lr=0.112000, batch loss=0.052801, epoch loss=0.217515 Batch=839, step=21240, lr=0.111750, batch loss=0.026940, epoch loss=0.244455 Batch=899, step=21300, lr=0.111500, batch loss=0.027840, epoch loss=0.272295 Batch=959, step=21360, lr=0.111250, batch loss=0.015662, epoch loss=0.287957 Batch=1019, step=21420, lr=0.111000, batch loss=0.014797, epoch loss=0.302754 Batch=1079, step=21480, lr=0.110750, batch loss=0.001958, epoch loss=0.304712 Batch=1139, step=21540, lr=0.110500, batch loss=0.013223, epoch loss=0.317936 Batch=1199, step=21600, lr=0.110250, batch loss=0.005442, epoch loss=0.323377 Epoch=17, step=21600, lr=0.110250, epoch loss=0.323377 Batch=59, step=21660, lr=0.110000, batch loss=0.003186, epoch loss=0.003186 Batch=119, step=21720, lr=0.109750, batch loss=0.007126, epoch loss=0.010311 Batch=179, step=21780, lr=0.109500, batch loss=0.012702, epoch loss=0.023014 Batch=239, step=21840, lr=0.109250, batch loss=0.009536, epoch loss=0.032550 Batch=299, step=21900, lr=0.109000, batch loss=0.008626, epoch loss=0.041176 Batch=359, step=21960, lr=0.108750, batch loss=0.015923, epoch loss=0.057099 Batch=419, step=22020, lr=0.108500, batch loss=0.012861, epoch loss=0.069960 Batch=479, step=22080, lr=0.108250, batch loss=0.003310, epoch loss=0.073269 Batch=539, step=22140, lr=0.108000, batch loss=0.017218, epoch loss=0.090487 Batch=599, step=22200, lr=0.107750, batch loss=0.016489, epoch loss=0.106977 Batch=659, step=22260, lr=0.107500, batch loss=0.013295, epoch loss=0.120272 Batch=719, step=22320, lr=0.107250, batch loss=0.021448, epoch loss=0.141720 Batch=779, step=22380, lr=0.107000, batch loss=0.034640, epoch loss=0.176360 Batch=839, step=22440, lr=0.106750, batch loss=0.025937, epoch loss=0.202297 Batch=899, step=22500, lr=0.106500, batch loss=0.029369, epoch loss=0.231666 Batch=959, step=22560, lr=0.106250, batch loss=0.009186, epoch loss=0.240852 Batch=1019, step=22620, lr=0.106000, batch loss=0.010307, epoch loss=0.251159 Batch=1079, step=22680, lr=0.105750, batch loss=0.001138, epoch loss=0.252296 Batch=1139, step=22740, lr=0.105500, batch loss=0.011740, epoch loss=0.264036 Batch=1199, step=22800, lr=0.105250, batch loss=0.005126, epoch loss=0.269162 Epoch=18, step=22800, lr=0.105250, epoch loss=0.269162 Batch=59, step=22860, lr=0.105000, batch loss=0.002030, epoch loss=0.002030 Batch=119, step=22920, lr=0.104750, batch loss=0.005760, epoch loss=0.007790 Batch=179, step=22980, lr=0.104500, batch loss=0.011032, epoch loss=0.018822 Batch=239, step=23040, lr=0.104250, batch loss=0.009427, epoch loss=0.028249 Batch=299, step=23100, lr=0.104000, batch loss=0.001248, epoch loss=0.029497 Batch=359, step=23160, lr=0.103750, batch loss=0.011950, epoch loss=0.041447 Batch=419, step=23220, lr=0.103500, batch loss=0.010356, epoch loss=0.051803 Batch=479, step=23280, lr=0.103250, batch loss=0.002458, epoch loss=0.054260 Batch=539, step=23340, lr=0.103000, batch loss=0.017557, epoch loss=0.071817 Batch=599, step=23400, lr=0.102750, batch loss=0.015187, epoch loss=0.087005 Batch=659, step=23460, lr=0.102500, batch loss=0.013895, epoch loss=0.100900 Batch=719, step=23520, lr=0.102250, batch loss=0.019899, epoch loss=0.120800 Batch=779, step=23580, lr=0.102000, batch loss=0.025463, epoch loss=0.146263 Batch=839, step=23640, lr=0.101750, batch loss=0.028204, epoch loss=0.174467 Batch=899, step=23700, lr=0.101500, batch loss=0.021861, epoch loss=0.196328 Batch=959, step=23760, lr=0.101250, batch loss=0.010119, epoch loss=0.206447 Batch=1019, step=23820, lr=0.101000, batch loss=0.008635, epoch loss=0.215082 Batch=1079, step=23880, lr=0.100750, batch loss=0.001557, epoch loss=0.216639 Batch=1139, step=23940, lr=0.100500, batch loss=0.008463, epoch loss=0.225102 Batch=1199, step=24000, lr=0.100250, batch loss=0.004761, epoch loss=0.229864 Epoch=19, step=24000, lr=0.100250, epoch loss=0.229864 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 2025-05-22 12:20.30: Job failed: Failed: Build failed