2025-05-22 20:00.59: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (39741884b740497ac10065d5e464e6c70f9151f4) (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 39741884 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 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && 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.3.19.0 dune-configurator.3.19.0 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 20:00.59: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4-debian-12-5.3+flambda_opam-2.3-5221748b47df38784e4032b8eb1be8cf" 2025-05-22 20:00.59: 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 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && 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.3.19.0 dune-configurator.3.19.0 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 20:00.59: Waiting for resource in pool OCluster 2025-05-22 20:00.59: Waiting for worker… 2025-05-22 20:01.12: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 39741884 Untested: convert remaining uses of Format except where printing Sexp values (from ocaml/opam:debian-12-ocaml-5.3-flambda@sha256:102e61eadd02c8453b955d72f3a495806f17f5de549d3643cc924c320fabd8f4) 2025-05-22 20:01.17 ---> 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 20:01.17 ---> 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 20:01.17 ---> 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 20:01.17 ---> using "3a794d0297d6d3662e91621faf2070f604c02f28ce3386d50957daf0a3b38339" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-22 20:01.17 ---> 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 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..2df846cb67 master -> origin/master 2df846cb67 Merge pull request #27910 from maiste/release-dune-3.19.0 <><> 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 20:01.17 ---> using "6f1ee2c0f5dfc21336f120bd54934d4d2d62fe2e6c274ae35a9d37cd0d991d98" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-22 20:01.17 ---> saved as "084a8e7e59581c591ee9b6a43c489d22ca4db919bade071f24b069436f27f375" /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 20:01.24 ---> saved as "bfc575b4ef73ba744844b72fee301ed2043b6f85d2f2a53a761788f4b5d3cb46" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-22 20:01.24 ---> saved as "0f6915cbf4b3fd363df4c6ad1e5ca66fc09b6a196977b8d60d10760efabfc457" /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.3.19.0 dune-configurator.3.19.0 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 3s (3627 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 20:01.50 ---> saved as "8c89f0144f2ff5cc8be816175fea38540f0aaed6835082bbb36fa26796b8d1f8" /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 3.19.0 - install dune-configurator 3.19.0 - 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 cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (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_here.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (cached) -> installed num.1.5-1 -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> installed cmdliner.1.3.0 -> installed seq.base -> 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 ptime.1.2.0 -> installed fmt.0.10.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed ocaml-version.4.0.0 -> 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_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.19.0 -> installed bigstringaf.0.10.0 -> installed uucp.16.0.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed printbox-ext-plot.0.12 -> installed ctypes.0.23.0 -> installed ctypes-foreign.0.23.0 -> installed base.v0.17.2 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_string.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 20:05.17 ---> saved as "b65c9d54f99ef608cdadff87d253d3d15651307a52646b07ef225308226bcb56" /src: (copy (src .) (dst /src)) 2025-05-22 20:05.19 ---> saved as "88a8211f0ab260f00b79733b0dffc249497856321348d940a0ee788c8c128402" /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/e241391d469389a7da52306c1c22bcfb/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/de170ae2001296851a4a3886e3db499e/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/e241391d469389a7da52306c1c22bcfb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/default/test/micrograd_demo.ml.corrected diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/e241391d469389a7da52306c1c22bcfb/default/test/micrograd_demo.ml.corrected index 77e46c6..ab81526 100644 --- a/_build/default/test/micrograd_demo.ml +++ b/_build/.sandbox/e241391d469389a7da52306c1c22bcfb/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/e241391d469389a7da52306c1c22bcfb/default/test/hello_world_op.ml.corrected diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/e241391d469389a7da52306c1c22bcfb/default/test/hello_world_op.ml.corrected index ba9d7ef..6bfa309 100644 --- a/_build/default/test/hello_world_op.ml +++ b/_build/.sandbox/e241391d469389a7da52306c1c22bcfb/default/test/hello_world_op.ml.corrected @@ -102,36 +102,46 @@ 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 {| + [0]: [ 1.00 , 2.00 , 3.00 ; 4.00 , 5.00 , 6.00 ]_hey shape 1:3->0:2 [ + 1.00 , 2.00 , 3.00 + ; 4.00 , 5.00 , 6.00 + ] + |}]; 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]: [ 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 │ │ + │└──────┴──────────────────┘ │ + └────────────────────────────────────────────────────────────────────────┘ |}]; 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]: [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |]_hoo shape 0:2|1:3 [| + [ 1.00 ; 2.00 ; 3.00 ] + ; [ 4.00 ; 5.00 ; 6.00 ] + |] + |}]; 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]: [| [ 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 │ │ + │└──────┴──────────────────┘ │ + └─────────────────────────────────────────────────────────────────────────────┘ |}]; let%op hey2 = [ @@ -145,10 +155,12 @@ 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)] + [2]: c4x2x3_hey2 shape 1:2,2:3->0:4 [ + ( 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 ) + ] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hey2; [%expect @@ -178,10 +190,12 @@ 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]]|] + [3]: c4x2x3_hoo2 shape 0:4|1:2,2:3 [| + [ [ 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 ] ] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo2; [%expect @@ -209,10 +223,12 @@ 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]|]|] + [4]: c4x2x3_heyhoo shape 0:4,1:2|2:3 [| + [| [ 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 ] |] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo; [%expect @@ -240,15 +256,24 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo2; [%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]]|]|] + [5]: c4x2x3x2_heyhoo2 shape 0:4,1:2|2:3,3:2 [| + [| + [ [ 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 ] ] + |] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo2; [%expect @@ -293,17 +318,28 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo3; [%expect {| - [| + [6]: c2x2x2x3x2_heyhoo3 shape 0:2,1:2|2:2,3:3,4:2 [| [| - [[[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 ] ] + ] + |] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo3; [%expect @@ -353,17 +389,28 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo4; [%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]]]; + [7]: c2x2x2x3x2_heyhoo4 shape 0:2|4:2->1:2,2:2,3:3 [| [ - [[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 ] + ] + ] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo4; [%expect @@ -462,8 +509,29 @@ 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] + [2]: 0...20 shape 0:21 [ + 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 + ] |}]; 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=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819 Batch=239, step=240, lr=0.199250, batch loss=0.855278, epoch loss=35.626096 Batch=299, step=300, lr=0.199000, batch loss=1.437143, epoch loss=37.063240 Batch=359, step=360, lr=0.198750, batch loss=1.338851, epoch loss=38.402091 Batch=419, step=420, lr=0.198500, batch loss=0.611321, epoch loss=39.013412 Batch=479, step=480, lr=0.198250, batch loss=0.745907, epoch loss=39.759319 Batch=539, step=540, lr=0.197750, batch loss=0.690502, epoch loss=40.449821 Batch=599, step=600, lr=0.197500, batch loss=1.100005, epoch loss=41.549826 Batch=659, step=660, lr=0.197250, batch loss=0.481906, epoch loss=42.031732 Batch=719, step=720, lr=0.197250, batch loss=0.410651, epoch loss=42.442383 Batch=779, step=780, lr=0.196750, batch loss=0.469012, epoch loss=42.911395 Batch=839, step=840, lr=0.196500, batch loss=0.450444, epoch loss=43.361839 Batch=899, step=900, lr=0.196250, batch loss=0.383619, epoch loss=43.745458 Batch=959, step=960, lr=0.196250, batch loss=0.267798, epoch loss=44.013256 Batch=1019, step=1020, lr=0.196000, batch loss=0.488032, epoch loss=44.501287 Batch=1079, step=1080, lr=0.195750, batch loss=0.264843, epoch loss=44.766131 Batch=1139, step=1140, lr=0.195500, batch loss=0.331246, epoch loss=45.097377 Batch=1199, step=1200, lr=0.195000, batch loss=0.265148, epoch loss=45.362525 Epoch=0, step=1200, lr=0.195000, epoch loss=45.362525 Batch=59, step=1260, lr=0.195000, batch loss=0.263255, epoch loss=0.263255 Batch=119, step=1320, lr=0.194750, batch loss=0.204773, epoch loss=0.468029 Batch=179, step=1380, lr=0.194500, batch loss=0.245273, epoch loss=0.713302 Batch=239, step=1440, lr=0.194000, batch loss=0.349884, epoch loss=1.063186 Batch=299, step=1500, lr=0.193750, batch loss=0.239716, epoch loss=1.302902 Batch=359, step=1560, lr=0.193500, batch loss=0.319113, epoch loss=1.622015 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.934750 Batch=479, step=1680, lr=0.193250, batch loss=0.276751, epoch loss=2.211501 Batch=539, step=1740, lr=0.193000, batch loss=0.209649, epoch loss=2.421150 Batch=599, step=1800, lr=0.192750, batch loss=0.247605, epoch loss=2.668755 Batch=659, step=1860, lr=0.192500, batch loss=0.367394, epoch loss=3.036150 Batch=719, step=1920, lr=0.192250, batch loss=0.358710, epoch loss=3.394860 Batch=779, step=1980, lr=0.192000, batch loss=0.389832, epoch loss=3.784692 Batch=839, step=2040, lr=0.191750, batch loss=0.346711, epoch loss=4.131402 Batch=899, step=2100, lr=0.191500, batch loss=0.323615, epoch loss=4.455018 Batch=959, step=2160, lr=0.191250, batch loss=0.256138, epoch loss=4.711156 Batch=1019, step=2220, lr=0.191000, batch loss=0.391744, epoch loss=5.102900 Batch=1079, step=2280, lr=0.190750, batch loss=0.219769, epoch loss=5.322669 Batch=1139, step=2340, lr=0.190500, batch loss=0.265683, epoch loss=5.588352 Batch=1199, step=2400, lr=0.190000, batch loss=0.214211, epoch loss=5.802563 Epoch=1, step=2400, lr=0.190000, epoch loss=5.802563 Batch=59, step=2460, lr=0.190000, batch loss=0.231008, epoch loss=0.231008 Batch=119, step=2520, lr=0.189750, batch loss=0.190269, epoch loss=0.421277 Batch=179, step=2580, lr=0.189500, batch loss=0.221097, epoch loss=0.642374 Batch=239, step=2640, lr=0.189250, batch loss=0.330475, epoch loss=0.972849 Batch=299, step=2700, lr=0.189000, batch loss=0.210726, epoch loss=1.183575 Batch=359, step=2760, lr=0.188750, batch loss=0.293430, epoch loss=1.477005 Batch=419, step=2820, lr=0.188500, batch loss=0.285028, epoch loss=1.762032 Batch=479, step=2880, lr=0.188250, batch loss=0.262970, epoch loss=2.025002 Batch=539, step=2940, lr=0.187750, batch loss=0.196668, epoch loss=2.221670 Batch=599, step=3000, lr=0.187500, batch loss=0.235756, epoch loss=2.457426 Batch=659, step=3060, lr=0.187500, batch loss=0.341640, epoch loss=2.799066 Batch=719, step=3120, lr=0.187250, batch loss=0.337887, epoch loss=3.136953 Batch=779, step=3180, lr=0.187000, batch loss=0.359974, epoch loss=3.496927 Batch=839, step=3240, lr=0.186750, batch loss=0.331364, epoch loss=3.828291 Batch=899, step=3300, lr=0.186500, batch loss=0.304476, epoch loss=4.132767 Batch=959, step=3360, lr=0.186000, batch loss=0.243870, epoch loss=4.376637 Batch=1019, step=3420, lr=0.186000, batch loss=0.363149, epoch loss=4.739786 Batch=1079, step=3480, lr=0.185750, batch loss=0.216401, epoch loss=4.956187 Batch=1139, step=3540, lr=0.185500, batch loss=0.266090, epoch loss=5.222277 Batch=1199, step=3600, lr=0.185250, batch loss=0.201399, epoch loss=5.423676 Epoch=2, step=3600, lr=0.185250, epoch loss=5.423676 Batch=59, step=3660, lr=0.185000, batch loss=0.225373, epoch loss=0.225373 Batch=119, step=3720, lr=0.184750, batch loss=0.185067, epoch loss=0.410440 Batch=179, step=3780, lr=0.184500, batch loss=0.213756, epoch loss=0.624196 Batch=239, step=3840, lr=0.184250, batch loss=0.317331, epoch loss=0.941526 Batch=299, step=3900, lr=0.184000, batch loss=0.208381, epoch loss=1.149907 Batch=359, step=3960, lr=0.183500, batch loss=0.286283, epoch loss=1.436190 Batch=419, step=4020, lr=0.183250, batch loss=0.273614, epoch loss=1.709804 Batch=479, step=4080, lr=0.183250, batch loss=0.249291, epoch loss=1.959095 Batch=539, step=4140, lr=0.183000, batch loss=0.194613, epoch loss=2.153708 Batch=599, step=4200, lr=0.182500, batch loss=0.238428, epoch loss=2.392136 Batch=659, step=4260, lr=0.182500, batch loss=0.332415, epoch loss=2.724551 Batch=719, step=4320, lr=0.182000, batch loss=0.331021, epoch loss=3.055572 Batch=779, step=4380, lr=0.182000, batch loss=0.353542, epoch loss=3.409115 Batch=839, step=4440, lr=0.181750, batch loss=0.320620, epoch loss=3.729735 Batch=899, step=4500, lr=0.181250, batch loss=0.293850, epoch loss=4.023585 Batch=959, step=4560, lr=0.181250, batch loss=0.240337, epoch loss=4.263921 Batch=1019, step=4620, lr=0.181000, batch loss=0.340795, epoch loss=4.604717 Batch=1079, step=4680, lr=0.180750, batch loss=0.212376, epoch loss=4.817093 Batch=1139, step=4740, lr=0.180500, batch loss=0.248072, epoch loss=5.065165 Batch=1199, step=4800, lr=0.180250, batch loss=0.192422, epoch loss=5.257587 Epoch=3, step=4800, lr=0.180250, epoch loss=5.257587 Batch=59, step=4860, lr=0.179750, batch loss=0.221809, epoch loss=0.221809 Batch=119, step=4920, lr=0.179750, batch loss=0.188886, epoch loss=0.410695 Batch=179, step=4980, lr=0.179500, batch loss=0.208224, epoch loss=0.618918 Batch=239, step=5040, lr=0.179250, batch loss=0.308826, epoch loss=0.927744 Batch=299, step=5100, lr=0.179000, batch loss=0.198199, epoch loss=1.125943 Batch=359, step=5160, lr=0.178750, batch loss=0.275551, epoch loss=1.401494 Batch=419, step=5220, lr=0.178500, batch loss=0.265934, epoch loss=1.667428 Batch=479, step=5280, lr=0.178250, batch loss=0.241131, epoch loss=1.908559 Batch=539, step=5340, lr=0.178000, batch loss=0.191786, epoch loss=2.100345 Batch=599, step=5400, lr=0.177750, batch loss=0.228293, epoch loss=2.328637 Batch=659, step=5460, lr=0.177500, batch loss=0.326466, epoch loss=2.655103 Batch=719, step=5520, lr=0.177250, batch loss=0.328491, epoch loss=2.983594 Batch=779, step=5580, lr=0.177000, batch loss=0.349485, epoch loss=3.333079 Batch=839, step=5640, lr=0.176500, batch loss=0.307160, epoch loss=3.640238 Batch=899, step=5700, lr=0.176250, batch loss=0.267629, epoch loss=3.907867 Batch=959, step=5760, lr=0.176250, batch loss=0.201659, epoch loss=4.109526 Batch=1019, step=5820, lr=0.176000, batch loss=0.300184, epoch loss=4.409710 Batch=1079, step=5880, lr=0.175750, batch loss=0.178298, epoch loss=4.588008 Batch=1139, step=5940, lr=0.175500, batch loss=0.219668, epoch loss=4.807676 Batch=1199, step=6000, lr=0.175250, batch loss=0.190557, epoch loss=4.998233 Epoch=4, step=6000, lr=0.175250, epoch loss=4.998233 Batch=59, step=6060, lr=0.175000, batch loss=0.234160, epoch loss=0.234160 Batch=119, step=6120, lr=0.174750, batch loss=0.193702, epoch loss=0.427862 Batch=179, step=6180, lr=0.174500, batch loss=0.200390, epoch loss=0.628252 Batch=239, step=6240, lr=0.174250, batch loss=0.301193, epoch loss=0.929445 Batch=299, step=6300, lr=0.174000, batch loss=0.209946, epoch loss=1.139391 Batch=359, step=6360, lr=0.173750, batch loss=0.273400, epoch loss=1.412791 Batch=419, step=6420, lr=0.173500, batch loss=0.268071, epoch loss=1.680862 Batch=479, step=6480, lr=0.173250, batch loss=0.242530, epoch loss=1.923392 Batch=539, step=6540, lr=0.173000, batch loss=0.196726, epoch loss=2.120118 Batch=599, step=6600, lr=0.172750, batch loss=0.233271, epoch loss=2.353389 Batch=659, step=6660, lr=0.172500, batch loss=0.313699, epoch loss=2.667089 Batch=719, step=6720, lr=0.172250, batch loss=0.318337, epoch loss=2.985425 Batch=779, step=6780, lr=0.172000, batch loss=0.329777, epoch loss=3.315203 Batch=839, step=6840, lr=0.171750, batch loss=0.301757, epoch loss=3.616960 Batch=899, step=6900, lr=0.171500, batch loss=0.271181, epoch loss=3.888141 Batch=959, step=6960, lr=0.171250, batch loss=0.205724, epoch loss=4.093866 Batch=1019, step=7020, lr=0.171000, batch loss=0.331624, epoch loss=4.425490 Batch=1079, step=7080, lr=0.170750, batch loss=0.193727, epoch loss=4.619217 Batch=1139, step=7140, lr=0.170500, batch loss=0.232255, epoch loss=4.851472 Batch=1199, step=7200, lr=0.170250, batch loss=0.181396, epoch loss=5.032868 Epoch=5, step=7200, lr=0.170250, epoch loss=5.032868 Batch=59, step=7260, lr=0.170000, batch loss=0.221280, epoch loss=0.221280 Batch=119, step=7320, lr=0.169750, batch loss=0.179538, epoch loss=0.400818 Batch=179, step=7380, lr=0.169500, batch loss=0.196143, epoch loss=0.596960 Batch=239, step=7440, lr=0.169250, batch loss=0.292797, epoch loss=0.889758 Batch=299, step=7500, lr=0.169000, batch loss=0.198834, epoch loss=1.088591 Batch=359, step=7560, lr=0.168750, batch loss=0.260664, epoch loss=1.349255 Batch=419, step=7620, lr=0.168500, batch loss=0.256205, epoch loss=1.605460 Batch=479, step=7680, lr=0.168000, batch loss=0.238060, epoch loss=1.843520 Batch=539, step=7740, lr=0.168000, batch loss=0.186515, epoch loss=2.030035 Batch=599, step=7800, lr=0.167500, batch loss=0.223903, epoch loss=2.253938 Batch=659, step=7860, lr=0.167250, batch loss=0.305774, epoch loss=2.559712 Batch=719, step=7920, lr=0.167250, batch loss=0.312220, epoch loss=2.871932 Batch=779, step=7980, lr=0.167000, batch loss=0.329911, epoch loss=3.201843 Batch=839, step=8040, lr=0.166750, batch loss=0.292670, epoch loss=3.494513 Batch=899, step=8100, lr=0.166500, batch loss=0.263888, epoch loss=3.758401 Batch=959, step=8160, lr=0.166250, batch loss=0.197921, epoch loss=3.956322 Batch=1019, step=8220, lr=0.166000, batch loss=0.321995, epoch loss=4.278317 Batch=1079, step=8280, lr=0.165500, batch loss=0.178643, epoch loss=4.456961 Batch=1139, step=8340, lr=0.165250, batch loss=0.209099, epoch loss=4.666060 Batch=1199, step=8400, lr=0.165250, batch loss=0.177436, epoch loss=4.843496 Epoch=6, step=8400, lr=0.165250, epoch loss=4.843496 Batch=59, step=8460, lr=0.165000, batch loss=0.225582, epoch loss=0.225582 Batch=119, step=8520, lr=0.164750, batch loss=0.178077, epoch loss=0.403659 Batch=179, step=8580, lr=0.164250, batch loss=0.188140, epoch loss=0.591798 Batch=239, step=8640, lr=0.164000, batch loss=0.277838, epoch loss=0.869637 Batch=299, step=8700, lr=0.164000, batch loss=0.187592, epoch loss=1.057228 Batch=359, step=8760, lr=0.163500, batch loss=0.246672, epoch loss=1.303901 Batch=419, step=8820, lr=0.163250, batch loss=0.242528, epoch loss=1.546429 Batch=479, step=8880, lr=0.163250, batch loss=0.219890, epoch loss=1.766319 Batch=539, step=8940, lr=0.162750, batch loss=0.175627, epoch loss=1.941946 Batch=599, step=9000, lr=0.162750, batch loss=0.213443, epoch loss=2.155388 Batch=659, step=9060, lr=0.162500, batch loss=0.297844, epoch loss=2.453233 Batch=719, step=9120, lr=0.162000, batch loss=0.295442, epoch loss=2.748675 Batch=779, step=9180, lr=0.161750, batch loss=0.320228, epoch loss=3.068903 Batch=839, step=9240, lr=0.161500, batch loss=0.286723, epoch loss=3.355626 Batch=899, step=9300, lr=0.161250, batch loss=0.253943, epoch loss=3.609568 Batch=959, step=9360, lr=0.161000, batch loss=0.210446, epoch loss=3.820014 Batch=1019, step=9420, lr=0.161000, batch loss=0.298788, epoch loss=4.118803 Batch=1079, step=9480, lr=0.160750, batch loss=0.174418, epoch loss=4.293221 Batch=1139, step=9540, lr=0.160250, batch loss=0.201114, epoch loss=4.494335 Batch=1199, step=9600, lr=0.160000, batch loss=0.165249, epoch loss=4.659584 Epoch=7, step=9600, lr=0.160000, epoch loss=4.659584 Batch=59, step=9660, lr=0.160000, batch loss=0.190561, epoch loss=0.190561 Batch=119, step=9720, lr=0.159500, batch loss=0.163830, epoch loss=0.354391 Batch=179, step=9780, lr=0.159250, batch loss=0.179697, epoch loss=0.534088 Batch=239, step=9840, lr=0.159250, batch loss=0.263420, epoch loss=0.797508 Batch=299, step=9900, lr=0.158750, batch loss=0.181572, epoch loss=0.979080 Batch=359, step=9960, lr=0.158500, batch loss=0.243853, epoch loss=1.222933 Batch=419, step=10020, lr=0.158500, batch loss=0.233260, epoch loss=1.456193 Batch=479, step=10080, lr=0.158000, batch loss=0.215399, epoch loss=1.671592 Batch=539, step=10140, lr=0.157750, batch loss=0.170962, epoch loss=1.842554 Batch=599, step=10200, lr=0.157500, batch loss=0.203261, epoch loss=2.045816 Batch=659, step=10260, lr=0.157500, batch loss=0.282454, epoch loss=2.328270 Batch=719, step=10320, lr=0.157000, batch loss=0.280719, epoch loss=2.608989 Batch=779, step=10380, lr=0.156750, batch loss=0.300302, epoch loss=2.909291 Batch=839, step=10440, lr=0.156750, batch loss=0.273108, epoch loss=3.182399 Batch=899, step=10500, lr=0.156250, batch loss=0.239398, epoch loss=3.421797 Batch=959, step=10560, lr=0.156250, batch loss=0.202670, epoch loss=3.624467 Batch=1019, step=10620, lr=0.156000, batch loss=0.293132, epoch loss=3.917599 Batch=1079, step=10680, lr=0.155500, batch loss=0.185126, epoch loss=4.102725 Batch=1139, step=10740, lr=0.155250, batch loss=0.203688, epoch loss=4.306413 Batch=1199, step=10800, lr=0.155000, batch loss=0.155806, epoch loss=4.462219 Epoch=8, step=10800, lr=0.155000, epoch loss=4.462219 Batch=59, step=10860, lr=0.154750, batch loss=0.177644, epoch loss=0.177644 Batch=119, step=10920, lr=0.154500, batch loss=0.153412, epoch loss=0.331056 Batch=179, step=10980, lr=0.154250, batch loss=0.167246, epoch loss=0.498302 Batch=239, step=11040, lr=0.154000, batch loss=0.243207, epoch loss=0.741509 Batch=299, step=11100, lr=0.154000, batch loss=0.172972, epoch loss=0.914481 Batch=359, step=11160, lr=0.153750, batch loss=0.222557, epoch loss=1.137039 Batch=419, step=11220, lr=0.153500, batch loss=0.218276, epoch loss=1.355314 Batch=479, step=11280, lr=0.153250, batch loss=0.213812, epoch loss=1.569126 Batch=539, step=11340, lr=0.153000, batch loss=0.171160, epoch loss=1.740286 Batch=599, step=11400, lr=0.152750, batch loss=0.176663, epoch loss=1.916949 Batch=659, step=11460, lr=0.152500, batch loss=0.263391, epoch loss=2.180340 Batch=719, step=11520, lr=0.152250, batch loss=0.264309, epoch loss=2.444649 Batch=779, step=11580, lr=0.151750, batch loss=0.273414, epoch loss=2.718064 Batch=839, step=11640, lr=0.151500, batch loss=0.252840, epoch loss=2.970904 Batch=899, step=11700, lr=0.151250, batch loss=0.219849, epoch loss=3.190753 Batch=959, step=11760, lr=0.151250, batch loss=0.186586, epoch loss=3.377339 Batch=1019, step=11820, lr=0.151000, batch loss=0.276725, epoch loss=3.654063 Batch=1079, step=11880, lr=0.150500, batch loss=0.151042, epoch loss=3.805105 Batch=1139, step=11940, lr=0.150500, batch loss=0.180056, epoch loss=3.985161 Batch=1199, step=12000, lr=0.150250, batch loss=0.141088, epoch loss=4.126249 Epoch=9, step=12000, lr=0.150250, epoch loss=4.126249 Batch=59, step=12060, lr=0.149750, batch loss=0.162225, epoch loss=0.162225 Batch=119, step=12120, lr=0.149500, batch loss=0.138975, epoch loss=0.301200 Batch=179, step=12180, lr=0.149250, batch loss=0.152704, epoch loss=0.453904 Batch=239, step=12240, lr=0.149250, batch loss=0.222586, epoch loss=0.676491 Batch=299, step=12300, lr=0.149000, batch loss=0.143521, epoch loss=0.820011 Batch=359, step=12360, lr=0.148750, batch loss=0.201886, epoch loss=1.021897 Batch=419, step=12420, lr=0.148500, batch loss=0.207311, epoch loss=1.229208 Batch=479, step=12480, lr=0.148250, batch loss=0.182257, epoch loss=1.411465 Batch=539, step=12540, lr=0.148000, batch loss=0.143172, epoch loss=1.554636 Batch=599, step=12600, lr=0.147500, batch loss=0.151570, epoch loss=1.706206 Batch=659, step=12660, lr=0.147500, batch loss=0.228695, epoch loss=1.934901 Batch=719, step=12720, lr=0.147250, batch loss=0.246134, epoch loss=2.181035 Batch=779, step=12780, lr=0.147000, batch loss=0.264017, epoch loss=2.445052 Batch=839, step=12840, lr=0.146750, batch loss=0.240469, epoch loss=2.685520 Batch=899, step=12900, lr=0.146500, batch loss=0.214990, epoch loss=2.900510 Batch=959, step=12960, lr=0.146250, batch loss=0.155812, epoch loss=3.056322 Batch=1019, step=13020, lr=0.146000, batch loss=0.269035, epoch loss=3.325357 Batch=1079, step=13080, lr=0.145750, batch loss=0.110762, epoch loss=3.436120 Batch=1139, step=13140, lr=0.145500, batch loss=0.146380, epoch loss=3.582499 Batch=1199, step=13200, lr=0.145250, batch loss=0.124174, epoch loss=3.706674 Epoch=10, step=13200, lr=0.145250, epoch loss=3.706674 Batch=59, step=13260, lr=0.145000, batch loss=0.150047, epoch loss=0.150047 Batch=119, step=13320, lr=0.144750, batch loss=0.133927, epoch loss=0.283975 Batch=179, step=13380, lr=0.144500, batch loss=0.134362, epoch loss=0.418336 Batch=239, step=13440, lr=0.144250, batch loss=0.191266, epoch loss=0.609602 Batch=299, step=13500, lr=0.144000, batch loss=0.119017, epoch loss=0.728619 Batch=359, step=13560, lr=0.143750, batch loss=0.167647, epoch loss=0.896266 Batch=419, step=13620, lr=0.143500, batch loss=0.163839, epoch loss=1.060104 Batch=479, step=13680, lr=0.143250, batch loss=0.150244, epoch loss=1.210349 Batch=539, step=13740, lr=0.143000, batch loss=0.121639, epoch loss=1.331988 Batch=599, step=13800, lr=0.142750, batch loss=0.123502, epoch loss=1.455489 Batch=659, step=13860, lr=0.142500, batch loss=0.180223, epoch loss=1.635712 Batch=719, step=13920, lr=0.142250, batch loss=0.181612, epoch loss=1.817324 Batch=779, step=13980, lr=0.142000, batch loss=0.201285, epoch loss=2.018609 Batch=839, step=14040, lr=0.141750, batch loss=0.190617, epoch loss=2.209226 Batch=899, step=14100, lr=0.141500, batch loss=0.161315, epoch loss=2.370541 Batch=959, step=14160, lr=0.141250, batch loss=0.135433, epoch loss=2.505974 Batch=1019, step=14220, lr=0.141000, batch loss=0.284101, epoch loss=2.790075 Batch=1079, step=14280, lr=0.140750, batch loss=0.088409, epoch loss=2.878484 Batch=1139, step=14340, lr=0.140500, batch loss=0.134866, epoch loss=3.013350 Batch=1199, step=14400, lr=0.140250, batch loss=0.093598, epoch loss=3.106948 Epoch=11, step=14400, lr=0.140250, epoch loss=3.106948 Batch=59, step=14460, lr=0.140000, batch loss=0.115158, epoch loss=0.115158 Batch=119, step=14520, lr=0.139750, batch loss=0.111266, epoch loss=0.226425 Batch=179, step=14580, lr=0.139500, batch loss=0.107994, epoch loss=0.334419 Batch=239, step=14640, lr=0.139250, batch loss=0.145117, epoch loss=0.479535 Batch=299, step=14700, lr=0.139000, batch loss=0.083805, epoch loss=0.563340 Batch=359, step=14760, lr=0.138750, batch loss=0.121713, epoch loss=0.685053 Batch=419, step=14820, lr=0.138500, batch loss=0.129940, epoch loss=0.814993 Batch=479, step=14880, lr=0.138250, batch loss=0.106485, epoch loss=0.921478 Batch=539, step=14940, lr=0.138000, batch loss=0.100583, epoch loss=1.022061 Batch=599, step=15000, lr=0.137500, batch loss=0.087711, epoch loss=1.109772 Batch=659, step=15060, lr=0.137250, batch loss=0.136303, epoch loss=1.246075 Batch=719, step=15120, lr=0.137250, batch loss=0.166490, epoch loss=1.412566 Batch=779, step=15180, lr=0.137000, batch loss=0.262513, epoch loss=1.675078 Batch=839, step=15240, lr=0.136750, batch loss=0.143240, epoch loss=1.818318 Batch=899, step=15300, lr=0.136500, batch loss=0.152069, epoch loss=1.970387 Batch=959, step=15360, lr=0.136250, batch loss=0.081232, epoch loss=2.051619 Batch=1019, step=15420, lr=0.136000, batch loss=0.165864, epoch loss=2.217483 Batch=1079, step=15480, lr=0.135750, batch loss=0.044373, epoch loss=2.261856 Batch=1139, step=15540, lr=0.135500, batch loss=0.102027, epoch loss=2.363884 Batch=1199, step=15600, lr=0.135000, batch loss=0.063356, epoch loss=2.427239 Epoch=12, step=15600, lr=0.135000, epoch loss=2.427239 Batch=59, step=15660, lr=0.135000, batch loss=0.088859, epoch loss=0.088859 Batch=119, step=15720, lr=0.134750, batch loss=0.152624, epoch loss=0.241483 Batch=179, step=15780, lr=0.134500, batch loss=0.107822, epoch loss=0.349304 Batch=239, step=15840, lr=0.134250, batch loss=0.105278, epoch loss=0.454582 Batch=299, step=15900, lr=0.134000, batch loss=0.044088, epoch loss=0.498671 Batch=359, step=15960, lr=0.133750, batch loss=0.086229, epoch loss=0.584899 Batch=419, step=16020, lr=0.133500, batch loss=0.084160, epoch loss=0.669060 Batch=479, step=16080, lr=0.133250, batch loss=0.063740, epoch loss=0.732800 Batch=539, step=16140, lr=0.133000, batch loss=0.063834, epoch loss=0.796634 Batch=599, step=16200, lr=0.132750, batch loss=0.137791, epoch loss=0.934425 Batch=659, step=16260, lr=0.132500, batch loss=0.088463, epoch loss=1.022888 Batch=719, step=16320, lr=0.132250, batch loss=0.102661, epoch loss=1.125549 Batch=779, step=16380, lr=0.131750, batch loss=0.186078, epoch loss=1.311627 Batch=839, step=16440, lr=0.131750, batch loss=0.093508, epoch loss=1.405135 Batch=899, step=16500, lr=0.131500, batch loss=0.082340, epoch loss=1.487475 Batch=959, step=16560, lr=0.131250, batch loss=0.045916, epoch loss=1.533391 Batch=1019, step=16620, lr=0.130750, batch loss=0.117463, epoch loss=1.650854 Batch=1079, step=16680, lr=0.130500, batch loss=0.022333, epoch loss=1.673187 Batch=1139, step=16740, lr=0.130500, batch loss=0.057586, epoch loss=1.730773 Batch=1199, step=16800, lr=0.130000, batch loss=0.028298, epoch loss=1.759070 Epoch=13, step=16800, lr=0.130000, epoch loss=1.759070 Batch=59, step=16860, lr=0.130000, batch loss=0.040251, epoch loss=0.040251 Batch=119, step=16920, lr=0.129500, batch loss=0.065418, epoch loss=0.105668 Batch=179, step=16980, lr=0.129250, batch loss=0.051634, epoch loss=0.157302 Batch=239, step=17040, lr=0.129000, batch loss=0.068433, epoch loss=0.225735 Batch=299, step=17100, lr=0.128750, batch loss=0.028699, epoch loss=0.254434 Batch=359, step=17160, lr=0.128750, batch loss=0.050337, epoch loss=0.304771 Batch=419, step=17220, lr=0.128250, batch loss=0.064464, epoch loss=0.369235 Batch=479, step=17280, lr=0.128000, batch loss=0.027446, epoch loss=0.396681 Batch=539, step=17340, lr=0.127750, batch loss=0.028675, epoch loss=0.425356 Batch=599, step=17400, lr=0.127500, batch loss=0.040655, epoch loss=0.466011 Batch=659, step=17460, lr=0.127500, batch loss=0.058138, epoch loss=0.524149 Batch=719, step=17520, lr=0.127250, batch loss=0.077911, epoch loss=0.602060 Batch=779, step=17580, lr=0.126750, batch loss=0.061491, epoch loss=0.663551 Batch=839, step=17640, lr=0.126750, batch loss=0.093908, epoch loss=0.757459 Batch=899, step=17700, lr=0.126250, batch loss=0.054078, epoch loss=0.811537 Batch=959, step=17760, lr=0.126250, batch loss=0.020256, epoch loss=0.831793 Batch=1019, step=17820, lr=0.126000, batch loss=0.029644, epoch loss=0.861438 Batch=1079, step=17880, lr=0.125500, batch loss=0.021975, epoch loss=0.883413 Batch=1139, step=17940, lr=0.125500, batch loss=0.048155, epoch loss=0.931568 Batch=1199, step=18000, lr=0.125000, batch loss=0.019092, epoch loss=0.950660 Epoch=14, step=18000, lr=0.125000, epoch loss=0.950660 Batch=59, step=18060, lr=0.124750, batch loss=0.013600, epoch loss=0.013600 Batch=119, step=18120, lr=0.124500, batch loss=0.021008, epoch loss=0.034608 Batch=179, step=18180, lr=0.124250, batch loss=0.030555, epoch loss=0.065163 Batch=239, step=18240, lr=0.124000, batch loss=0.035067, epoch loss=0.100229 Batch=299, step=18300, lr=0.124000, batch loss=0.012027, epoch loss=0.112257 Batch=359, step=18360, lr=0.123750, batch loss=0.025834, epoch loss=0.138091 Batch=419, step=18420, lr=0.123500, batch loss=0.030085, epoch loss=0.168175 Batch=479, step=18480, lr=0.123250, batch loss=0.015342, epoch loss=0.183517 Batch=539, step=18540, lr=0.123000, batch loss=0.022015, epoch loss=0.205532 Batch=599, step=18600, lr=0.122750, batch loss=0.029467, epoch loss=0.234999 Batch=659, step=18660, lr=0.122500, batch loss=0.028914, epoch loss=0.263913 Batch=719, step=18720, lr=0.122250, batch loss=0.029357, epoch loss=0.293270 Batch=779, step=18780, lr=0.122000, batch loss=0.077632, epoch loss=0.370901 Batch=839, step=18840, lr=0.121750, batch loss=0.205536, epoch loss=0.576438 Batch=899, step=18900, lr=0.121500, batch loss=0.042083, epoch loss=0.618521 Batch=959, step=18960, lr=0.121250, batch loss=0.016682, epoch loss=0.635204 Batch=1019, step=19020, lr=0.121000, batch loss=0.028473, epoch loss=0.663676 Batch=1079, step=19080, lr=0.120750, batch loss=0.006669, epoch loss=0.670345 Batch=1139, step=19140, lr=0.120500, batch loss=0.025444, epoch loss=0.695789 Batch=1199, step=19200, lr=0.120250, batch loss=0.011860, epoch loss=0.707649 Epoch=15, step=19200, lr=0.120250, epoch loss=0.707649 Batch=59, step=19260, lr=0.120000, batch loss=0.005929, epoch loss=0.005929 Batch=119, step=19320, lr=0.119750, batch loss=0.012035, epoch loss=0.017964 Batch=179, step=19380, lr=0.119500, batch loss=0.021525, epoch loss=0.039489 Batch=239, step=19440, lr=0.119250, batch loss=0.026872, epoch loss=0.066361 Batch=299, step=19500, lr=0.119000, batch loss=0.010407, epoch loss=0.076769 Batch=359, step=19560, lr=0.118500, batch loss=0.017082, epoch loss=0.093851 Batch=419, step=19620, lr=0.118250, batch loss=0.020432, epoch loss=0.114282 Batch=479, step=19680, lr=0.118000, batch loss=0.010150, epoch loss=0.124432 Batch=539, step=19740, lr=0.118000, batch loss=0.018827, epoch loss=0.143259 Batch=599, step=19800, lr=0.117750, batch loss=0.020695, epoch loss=0.163954 Batch=659, step=19860, lr=0.117250, batch loss=0.019067, epoch loss=0.183021 Batch=719, step=19920, lr=0.117000, batch loss=0.021722, epoch loss=0.204743 Batch=779, step=19980, lr=0.116750, batch loss=0.035020, epoch loss=0.239762 Batch=839, step=20040, lr=0.116500, batch loss=0.036519, epoch loss=0.276282 Batch=899, step=20100, lr=0.116250, batch loss=0.032601, epoch loss=0.308882 Batch=959, step=20160, lr=0.116000, batch loss=0.021628, epoch loss=0.330510 Batch=1019, step=20220, lr=0.115750, batch loss=0.036735, epoch loss=0.367245 Batch=1079, step=20280, lr=0.115500, batch loss=0.006886, epoch loss=0.374132 Batch=1139, step=20340, lr=0.115250, batch loss=0.018652, epoch loss=0.392784 Batch=1199, step=20400, lr=0.115000, batch loss=0.007730, epoch loss=0.400513 Epoch=16, step=20400, lr=0.115000, epoch loss=0.400513 Batch=59, step=20460, lr=0.115000, batch loss=0.003687, epoch loss=0.003687 Batch=119, step=20520, lr=0.114500, batch loss=0.010533, epoch loss=0.014220 Batch=179, step=20580, lr=0.114250, batch loss=0.021128, epoch loss=0.035348 Batch=239, step=20640, lr=0.114000, batch loss=0.021098, epoch loss=0.056446 Batch=299, step=20700, lr=0.113750, batch loss=0.010549, epoch loss=0.066995 Batch=359, step=20760, lr=0.113500, batch loss=0.014509, epoch loss=0.081504 Batch=419, step=20820, lr=0.113250, batch loss=0.015970, epoch loss=0.097474 Batch=479, step=20880, lr=0.113000, batch loss=0.004196, epoch loss=0.101670 Batch=539, step=20940, lr=0.112750, batch loss=0.015494, epoch loss=0.117164 Batch=599, step=21000, lr=0.112500, batch loss=0.020662, epoch loss=0.137826 Batch=659, step=21060, lr=0.112250, batch loss=0.016019, epoch loss=0.153845 Batch=719, step=21120, lr=0.112250, batch loss=0.042634, epoch loss=0.196479 Batch=779, step=21180, lr=0.111750, batch loss=0.079353, epoch loss=0.275832 Batch=839, step=21240, lr=0.111750, batch loss=0.026885, epoch loss=0.302717 Batch=899, step=21300, lr=0.111250, batch loss=0.037276, epoch loss=0.339994 Batch=959, step=21360, lr=0.111000, batch loss=0.011637, epoch loss=0.351631 Batch=1019, step=21420, lr=0.110750, batch loss=0.013035, epoch loss=0.364666 Batch=1079, step=21480, lr=0.110500, batch loss=0.001855, epoch loss=0.366522 Batch=1139, step=21540, lr=0.110250, batch loss=0.013169, epoch loss=0.379691 Batch=1199, step=21600, lr=0.110000, batch loss=0.005359, epoch loss=0.385050 Epoch=17, step=21600, lr=0.110000, epoch loss=0.385050 Batch=59, step=21660, lr=0.109750, batch loss=0.002053, epoch loss=0.002053 Batch=119, step=21720, lr=0.109500, batch loss=0.007202, epoch loss=0.009255 Batch=179, step=21780, lr=0.109500, batch loss=0.013193, epoch loss=0.022448 Batch=239, step=21840, lr=0.109250, batch loss=0.013616, epoch loss=0.036065 Batch=299, step=21900, lr=0.109000, batch loss=0.002478, epoch loss=0.038543 Batch=359, step=21960, lr=0.108500, batch loss=0.012608, epoch loss=0.051151 Batch=419, step=22020, lr=0.108250, batch loss=0.012204, epoch loss=0.063355 Batch=479, step=22080, lr=0.108250, batch loss=0.003107, epoch loss=0.066462 Batch=539, step=22140, lr=0.108000, batch loss=0.017933, epoch loss=0.084395 Batch=599, step=22200, lr=0.107750, batch loss=0.017052, epoch loss=0.101446 Batch=659, step=22260, lr=0.107500, batch loss=0.014893, epoch loss=0.116339 Batch=719, step=22320, lr=0.107250, batch loss=0.029713, epoch loss=0.146052 Batch=779, step=22380, lr=0.107000, batch loss=0.045042, epoch loss=0.191095 Batch=839, step=22440, lr=0.106750, batch loss=0.021904, epoch loss=0.212999 Batch=899, step=22500, lr=0.106500, batch loss=0.022516, epoch loss=0.235514 Batch=959, step=22560, lr=0.106250, batch loss=0.011390, epoch loss=0.246904 Batch=1019, step=22620, lr=0.106000, batch loss=0.008986, epoch loss=0.255890 Batch=1079, step=22680, lr=0.105750, batch loss=0.000070, epoch loss=0.255960 Batch=1139, step=22740, lr=0.105250, batch loss=0.010166, epoch loss=0.266126 Batch=1199, step=22800, lr=0.105250, batch loss=0.004542, epoch loss=0.270668 Epoch=18, step=22800, lr=0.105250, epoch loss=0.270668 Batch=59, step=22860, lr=0.105000, batch loss=0.001546, epoch loss=0.001546 Batch=119, step=22920, lr=0.104750, batch loss=0.005432, epoch loss=0.006977 Batch=179, step=22980, lr=0.104500, batch loss=0.011040, epoch loss=0.018017 Batch=239, step=23040, lr=0.104000, batch loss=0.009120, epoch loss=0.027137 Batch=299, step=23100, lr=0.104000, batch loss=0.012097, epoch loss=0.039234 Batch=359, step=23160, lr=0.103750, batch loss=0.011510, epoch loss=0.050744 Batch=419, step=23220, lr=0.103500, batch loss=0.010579, epoch loss=0.061323 Batch=479, step=23280, lr=0.103250, batch loss=0.002350, epoch loss=0.063673 Batch=539, step=23340, lr=0.102750, batch loss=0.016814, epoch loss=0.080486 Batch=599, step=23400, lr=0.102750, batch loss=0.013843, epoch loss=0.094330 Batch=659, step=23460, lr=0.102250, batch loss=0.010445, epoch loss=0.104775 Batch=719, step=23520, lr=0.102250, batch loss=0.016752, epoch loss=0.121527 Batch=779, step=23580, lr=0.102000, batch loss=0.021624, epoch loss=0.143151 Batch=839, step=23640, lr=0.101750, batch loss=0.024651, epoch loss=0.167801 Batch=899, step=23700, lr=0.101500, batch loss=0.024423, epoch loss=0.192224 Batch=959, step=23760, lr=0.101250, batch loss=0.008117, epoch loss=0.200342 Batch=1019, step=23820, lr=0.101000, batch loss=0.007434, epoch loss=0.207776 Batch=1079, step=23880, lr=0.100750, batch loss=0.000611, epoch loss=0.208387 Batch=1139, step=23940, lr=0.100500, batch loss=0.009140, epoch loss=0.217526 Batch=1199, step=24000, lr=0.100250, batch loss=0.004453, epoch loss=0.221980 Epoch=19, step=24000, lr=0.100250, epoch loss=0.221980 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 20:06.27: Job failed: Failed: Build failed