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_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a 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@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a # debian-12-5.3_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-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 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@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a-debian-12-5.3_opam-2.3-63d0fa7caba437c680f3f62d33f451da" 2025-05-22 20:00.59: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a) (comment debian-12-5.3_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-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 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 20:01.11: Got resource from pool OCluster Building on toxis.caelum.ci.dev HEAD is now at 9afb61d2 In progress / broken: Format -> PPrint migration first pass by Claude HEAD is now at 39741884 Untested: convert remaining uses of Format except where printing Sexp values (from ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a) 2025-05-22 20:01.15 ---> using "c27ab789c36f636d2f62a674e3eae2c305d73399092c4108cbaa52dc8a10012e" from cache /: (comment debian-12-5.3_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 20:01.15 ---> using "9cae145c80fe31974e43d88953f6bec29d183f6d20f421503e8d061cd40eec4a" 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 20:01.15 ---> using "87f3e5a80755168fb4361602ab86da8431db1c0a4b82a5265de42e259ab24c66" 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 20:01.15 ---> using "845852dbffbb340f0f2c13031c11ce1dfd03ae99790c5dc859c7ad5e21d0e7a8" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-22 20:01.15 ---> using "8191a55dd0056aa373fe8194631bf3d29936780292874a0772972c5c5b35fd39" 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 20:01.15 ---> using "5bc0d8b79d90d7ab5e1e1819bf6bdd6ad3beadf513b3cd05ae7f2e05d8f2ec22" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-22 20:01.16 ---> saved as "5d0207bac2da7eca62495ef69bd1e4c6a48088a2d9a16a9dd6bf37e216f83629" /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 20:01.22 ---> saved as "fb122a892fd22a741ec6c086d1ee258fef79059f796d2281f8722d66e9d945f4" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-22 20:01.23 ---> saved as "9424b8126097e3ec800c7d0dd9d14ffc6272a1fc4da41e7944a413d7737eb4ee" /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-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 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 (3091 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-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 20:01.53 ---> saved as "57974eb32b40c9b4e59711457fc8ef9fc3fda7cab9283c12afff7e247533bda1" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-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 angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (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 multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved mdx.2.5.0 (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 dune.3.19.0, dune-configurator.3.19.0 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> 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 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 ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> 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 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 ocaml-compiler-libs.v0.17.0 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed stdlib-shims.0.3.0 -> installed cppo.1.8.0 -> installed thread-local-storage.0.2 -> 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 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 uucp.16.0.0 -> installed ctypes.0.23.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed base.v0.17.2 -> installed ctypes-foreign.0.23.0 -> installed fieldslib.v0.17.0 -> installed variantslib.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_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> 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 20:04.48 ---> saved as "63c6c475dacccd63b3700ea49a4f8727b63e3f464706016139f4a9a9bc58d7c9" /src: (copy (src .) (dst /src)) 2025-05-22 20:04.49 ---> saved as "b07e157ccf9be4c9ff4801bd3eb4c0499050f2cc04c501d28be5af7e88c780b2" /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/971c4b21f97ec216142b5bd702ac5470/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/971c4b21f97ec216142b5bd702ac5470/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/971c4b21f97ec216142b5bd702ac5470/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/971c4b21f97ec216142b5bd702ac5470/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/971c4b21f97ec216142b5bd702ac5470/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/971c4b21f97ec216142b5bd702ac5470/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/971c4b21f97ec216142b5bd702ac5470/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/a185fd22df5457abfa33513220e037a7/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/971c4b21f97ec216142b5bd702ac5470/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 Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42 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", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 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 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/971c4b21f97ec216142b5bd702ac5470/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/971c4b21f97ec216142b5bd702ac5470/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/971c4b21f97ec216142b5bd702ac5470/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/971c4b21f97ec216142b5bd702ac5470/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/971c4b21f97ec216142b5bd702ac5470/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/971c4b21f97ec216142b5bd702ac5470/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/971c4b21f97ec216142b5bd702ac5470/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/971c4b21f97ec216142b5bd702ac5470/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/971c4b21f97ec216142b5bd702ac5470/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/971c4b21f97ec216142b5bd702ac5470/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/971c4b21f97ec216142b5bd702ac5470/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/971c4b21f97ec216142b5bd702ac5470/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/971c4b21f97ec216142b5bd702ac5470/default/test/micrograd_demo.ml.corrected diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/971c4b21f97ec216142b5bd702ac5470/default/test/micrograd_demo.ml.corrected index 77e46c6..ab81526 100644 --- a/_build/default/test/micrograd_demo.ml +++ b/_build/.sandbox/971c4b21f97ec216142b5bd702ac5470/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/971c4b21f97ec216142b5bd702ac5470/default/test/hello_world_op.ml.corrected diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/971c4b21f97ec216142b5bd702ac5470/default/test/hello_world_op.ml.corrected index ba9d7ef..6bfa309 100644 --- a/_build/default/test/hello_world_op.ml +++ b/_build/.sandbox/971c4b21f97ec216142b5bd702ac5470/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=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199250, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.199000, batch loss=1.448342, epoch loss=37.064827 Batch=359, step=360, lr=0.198750, batch loss=1.335675, epoch loss=38.400502 Batch=419, step=420, lr=0.198500, batch loss=0.615054, epoch loss=39.015555 Batch=479, step=480, lr=0.198250, batch loss=0.811093, epoch loss=39.826648 Batch=539, step=540, lr=0.198000, batch loss=0.709001, epoch loss=40.535650 Batch=599, step=600, lr=0.197750, batch loss=1.069497, epoch loss=41.605147 Batch=659, step=660, lr=0.197500, batch loss=0.482371, epoch loss=42.087518 Batch=719, step=720, lr=0.197000, batch loss=0.411152, epoch loss=42.498670 Batch=779, step=780, lr=0.197000, batch loss=0.469334, epoch loss=42.968003 Batch=839, step=840, lr=0.196750, batch loss=0.443884, epoch loss=43.411888 Batch=899, step=900, lr=0.196500, batch loss=0.383050, epoch loss=43.794937 Batch=959, step=960, lr=0.196250, batch loss=0.241850, epoch loss=44.036788 Batch=1019, step=1020, lr=0.196000, batch loss=0.451900, epoch loss=44.488688 Batch=1079, step=1080, lr=0.195750, batch loss=0.259293, epoch loss=44.747980 Batch=1139, step=1140, lr=0.195500, batch loss=0.339355, epoch loss=45.087335 Batch=1199, step=1200, lr=0.195250, batch loss=0.261355, epoch loss=45.348690 Epoch=0, step=1200, lr=0.195250, epoch loss=45.348690 Batch=59, step=1260, lr=0.195000, batch loss=0.260655, epoch loss=0.260655 Batch=119, step=1320, lr=0.194750, batch loss=0.202934, epoch loss=0.463589 Batch=179, step=1380, lr=0.194500, batch loss=0.244106, epoch loss=0.707696 Batch=239, step=1440, lr=0.194250, batch loss=0.348214, epoch loss=1.055910 Batch=299, step=1500, lr=0.194000, batch loss=0.239144, epoch loss=1.295053 Batch=359, step=1560, lr=0.193750, batch loss=0.318879, epoch loss=1.613932 Batch=419, step=1620, lr=0.193500, batch loss=0.311592, epoch loss=1.925524 Batch=479, step=1680, lr=0.193250, batch loss=0.276002, epoch loss=2.201527 Batch=539, step=1740, lr=0.193000, batch loss=0.211772, epoch loss=2.413298 Batch=599, step=1800, lr=0.192750, batch loss=0.259410, epoch loss=2.672708 Batch=659, step=1860, lr=0.192500, batch loss=0.368349, epoch loss=3.041057 Batch=719, step=1920, lr=0.192250, batch loss=0.365682, epoch loss=3.406739 Batch=779, step=1980, lr=0.192000, batch loss=0.381146, epoch loss=3.787885 Batch=839, step=2040, lr=0.191750, batch loss=0.340805, epoch loss=4.128690 Batch=899, step=2100, lr=0.191250, batch loss=0.295390, epoch loss=4.424080 Batch=959, step=2160, lr=0.191250, batch loss=0.216219, epoch loss=4.640299 Batch=1019, step=2220, lr=0.191000, batch loss=0.327006, epoch loss=4.967305 Batch=1079, step=2280, lr=0.190750, batch loss=0.193927, epoch loss=5.161232 Batch=1139, step=2340, lr=0.190500, batch loss=0.255709, epoch loss=5.416941 Batch=1199, step=2400, lr=0.190250, batch loss=0.210630, epoch loss=5.627572 Epoch=1, step=2400, lr=0.190250, epoch loss=5.627572 Batch=59, step=2460, lr=0.189750, batch loss=0.229871, epoch loss=0.229871 Batch=119, step=2520, lr=0.189750, batch loss=0.197701, epoch loss=0.427572 Batch=179, step=2580, lr=0.189500, batch loss=0.219347, epoch loss=0.646919 Batch=239, step=2640, lr=0.189250, batch loss=0.326824, epoch loss=0.973742 Batch=299, step=2700, lr=0.189000, batch loss=0.206303, epoch loss=1.180045 Batch=359, step=2760, lr=0.188750, batch loss=0.290858, epoch loss=1.470903 Batch=419, step=2820, lr=0.188500, batch loss=0.280316, epoch loss=1.751218 Batch=479, step=2880, lr=0.188000, batch loss=0.254721, epoch loss=2.005940 Batch=539, step=2940, lr=0.188000, batch loss=0.195877, epoch loss=2.201816 Batch=599, step=3000, lr=0.187750, batch loss=0.241228, epoch loss=2.443045 Batch=659, step=3060, lr=0.187500, batch loss=0.346161, epoch loss=2.789206 Batch=719, step=3120, lr=0.187250, batch loss=0.346822, epoch loss=3.136027 Batch=779, step=3180, lr=0.187000, batch loss=0.364794, epoch loss=3.500821 Batch=839, step=3240, lr=0.186750, batch loss=0.323062, epoch loss=3.823883 Batch=899, step=3300, lr=0.186500, batch loss=0.289980, epoch loss=4.113863 Batch=959, step=3360, lr=0.186250, batch loss=0.222152, epoch loss=4.336016 Batch=1019, step=3420, lr=0.186000, batch loss=0.348862, epoch loss=4.684877 Batch=1079, step=3480, lr=0.185750, batch loss=0.222051, epoch loss=4.906928 Batch=1139, step=3540, lr=0.185500, batch loss=0.263878, epoch loss=5.170807 Batch=1199, step=3600, lr=0.185250, batch loss=0.200017, epoch loss=5.370823 Epoch=2, step=3600, lr=0.185250, epoch loss=5.370823 Batch=59, step=3660, lr=0.185000, batch loss=0.222044, epoch loss=0.222044 Batch=119, step=3720, lr=0.184750, batch loss=0.185425, epoch loss=0.407468 Batch=179, step=3780, lr=0.184500, batch loss=0.212154, epoch loss=0.619622 Batch=239, step=3840, lr=0.184250, batch loss=0.315999, epoch loss=0.935621 Batch=299, step=3900, lr=0.184000, batch loss=0.205154, epoch loss=1.140774 Batch=359, step=3960, lr=0.183750, batch loss=0.287705, epoch loss=1.428480 Batch=419, step=4020, lr=0.183250, batch loss=0.274021, epoch loss=1.702501 Batch=479, step=4080, lr=0.183250, batch loss=0.260291, epoch loss=1.962793 Batch=539, step=4140, lr=0.183000, batch loss=0.194224, epoch loss=2.157017 Batch=599, step=4200, lr=0.182750, batch loss=0.230445, epoch loss=2.387461 Batch=659, step=4260, lr=0.182500, batch loss=0.337236, epoch loss=2.724698 Batch=719, step=4320, lr=0.182250, batch loss=0.341362, epoch loss=3.066060 Batch=779, step=4380, lr=0.182000, batch loss=0.352482, epoch loss=3.418541 Batch=839, step=4440, lr=0.181750, batch loss=0.315105, epoch loss=3.733646 Batch=899, step=4500, lr=0.181500, batch loss=0.282601, epoch loss=4.016247 Batch=959, step=4560, lr=0.181250, batch loss=0.222894, epoch loss=4.239141 Batch=1019, step=4620, lr=0.180750, batch loss=0.342183, epoch loss=4.581324 Batch=1079, step=4680, lr=0.180750, batch loss=0.218883, epoch loss=4.800207 Batch=1139, step=4740, lr=0.180500, batch loss=0.247804, epoch loss=5.048012 Batch=1199, step=4800, lr=0.180250, batch loss=0.191070, epoch loss=5.239082 Epoch=3, step=4800, lr=0.180250, epoch loss=5.239082 Batch=59, step=4860, lr=0.180000, batch loss=0.221808, epoch loss=0.221808 Batch=119, step=4920, lr=0.179750, batch loss=0.188733, epoch loss=0.410541 Batch=179, step=4980, lr=0.179500, batch loss=0.206961, epoch loss=0.617502 Batch=239, step=5040, lr=0.179250, batch loss=0.307248, epoch loss=0.924750 Batch=299, step=5100, lr=0.179000, batch loss=0.200045, epoch loss=1.124795 Batch=359, step=5160, lr=0.178750, batch loss=0.274514, epoch loss=1.399309 Batch=419, step=5220, lr=0.178500, batch loss=0.264854, epoch loss=1.664163 Batch=479, step=5280, lr=0.178000, batch loss=0.240529, epoch loss=1.904692 Batch=539, step=5340, lr=0.178000, batch loss=0.189356, epoch loss=2.094048 Batch=599, step=5400, lr=0.177750, batch loss=0.232434, epoch loss=2.326481 Batch=659, step=5460, lr=0.177500, batch loss=0.324306, epoch loss=2.650788 Batch=719, step=5520, lr=0.177250, batch loss=0.320656, epoch loss=2.971443 Batch=779, step=5580, lr=0.177000, batch loss=0.343709, epoch loss=3.315152 Batch=839, step=5640, lr=0.176500, batch loss=0.309652, epoch loss=3.624804 Batch=899, step=5700, lr=0.176500, batch loss=0.274197, epoch loss=3.899001 Batch=959, step=5760, lr=0.176000, batch loss=0.213686, epoch loss=4.112688 Batch=1019, step=5820, lr=0.176000, batch loss=0.338214, epoch loss=4.450901 Batch=1079, step=5880, lr=0.175750, batch loss=0.206221, epoch loss=4.657122 Batch=1139, step=5940, lr=0.175250, batch loss=0.239143, epoch loss=4.896265 Batch=1199, step=6000, lr=0.175000, batch loss=0.186938, epoch loss=5.083203 Epoch=4, step=6000, lr=0.175000, epoch loss=5.083203 Batch=59, step=6060, lr=0.174750, batch loss=0.230948, epoch loss=0.230948 Batch=119, step=6120, lr=0.174500, batch loss=0.187017, epoch loss=0.417965 Batch=179, step=6180, lr=0.174500, batch loss=0.202050, epoch loss=0.620015 Batch=239, step=6240, lr=0.174000, batch loss=0.298946, epoch loss=0.918961 Batch=299, step=6300, lr=0.173750, batch loss=0.199729, epoch loss=1.118690 Batch=359, step=6360, lr=0.173500, batch loss=0.263611, epoch loss=1.382302 Batch=419, step=6420, lr=0.173250, batch loss=0.257589, epoch loss=1.639891 Batch=479, step=6480, lr=0.173000, batch loss=0.234912, epoch loss=1.874803 Batch=539, step=6540, lr=0.172750, batch loss=0.190777, epoch loss=2.065580 Batch=599, step=6600, lr=0.172500, batch loss=0.232829, epoch loss=2.298409 Batch=659, step=6660, lr=0.172250, batch loss=0.313567, epoch loss=2.611976 Batch=719, step=6720, lr=0.172000, batch loss=0.316034, epoch loss=2.928010 Batch=779, step=6780, lr=0.172000, batch loss=0.329212, epoch loss=3.257221 Batch=839, step=6840, lr=0.171500, batch loss=0.306024, epoch loss=3.563246 Batch=899, step=6900, lr=0.171250, batch loss=0.269730, epoch loss=3.832976 Batch=959, step=6960, lr=0.171000, batch loss=0.206806, epoch loss=4.039782 Batch=1019, step=7020, lr=0.170750, batch loss=0.328894, epoch loss=4.368675 Batch=1079, step=7080, lr=0.170500, batch loss=0.183488, epoch loss=4.552163 Batch=1139, step=7140, lr=0.170250, batch loss=0.215783, epoch loss=4.767946 Batch=1199, step=7200, lr=0.170000, batch loss=0.182485, epoch loss=4.950432 Epoch=5, step=7200, lr=0.170000, epoch loss=4.950432 Batch=59, step=7260, lr=0.170000, batch loss=0.242414, epoch loss=0.242414 Batch=119, step=7320, lr=0.169750, batch loss=0.178471, epoch loss=0.420885 Batch=179, step=7380, lr=0.169250, batch loss=0.194750, epoch loss=0.615634 Batch=239, step=7440, lr=0.169000, batch loss=0.291447, epoch loss=0.907081 Batch=299, step=7500, lr=0.169000, batch loss=0.207390, epoch loss=1.114471 Batch=359, step=7560, lr=0.168500, batch loss=0.261272, epoch loss=1.375743 Batch=419, step=7620, lr=0.168250, batch loss=0.253969, epoch loss=1.629712 Batch=479, step=7680, lr=0.168000, batch loss=0.232065, epoch loss=1.861777 Batch=539, step=7740, lr=0.167750, batch loss=0.185134, epoch loss=2.046911 Batch=599, step=7800, lr=0.167750, batch loss=0.225041, epoch loss=2.271952 Batch=659, step=7860, lr=0.167250, batch loss=0.305024, epoch loss=2.576976 Batch=719, step=7920, lr=0.167250, batch loss=0.307926, epoch loss=2.884901 Batch=779, step=7980, lr=0.166750, batch loss=0.330195, epoch loss=3.215096 Batch=839, step=8040, lr=0.166750, batch loss=0.291685, epoch loss=3.506781 Batch=899, step=8100, lr=0.166250, batch loss=0.262523, epoch loss=3.769304 Batch=959, step=8160, lr=0.166000, batch loss=0.198042, epoch loss=3.967346 Batch=1019, step=8220, lr=0.166000, batch loss=0.324962, epoch loss=4.292307 Batch=1079, step=8280, lr=0.165750, batch loss=0.187626, epoch loss=4.479933 Batch=1139, step=8340, lr=0.165500, batch loss=0.214612, epoch loss=4.694545 Batch=1199, step=8400, lr=0.165000, batch loss=0.172356, epoch loss=4.866900 Epoch=6, step=8400, lr=0.165000, epoch loss=4.866900 Batch=59, step=8460, lr=0.165000, batch loss=0.212732, epoch loss=0.212732 Batch=119, step=8520, lr=0.164500, batch loss=0.176980, epoch loss=0.389712 Batch=179, step=8580, lr=0.164250, batch loss=0.189046, epoch loss=0.578759 Batch=239, step=8640, lr=0.164250, batch loss=0.278903, epoch loss=0.857662 Batch=299, step=8700, lr=0.163750, batch loss=0.191234, epoch loss=1.048896 Batch=359, step=8760, lr=0.163500, batch loss=0.247966, epoch loss=1.296862 Batch=419, step=8820, lr=0.163250, batch loss=0.244076, epoch loss=1.540938 Batch=479, step=8880, lr=0.163250, batch loss=0.229267, epoch loss=1.770206 Batch=539, step=8940, lr=0.163000, batch loss=0.175948, epoch loss=1.946153 Batch=599, step=9000, lr=0.162750, batch loss=0.218386, epoch loss=2.164539 Batch=659, step=9060, lr=0.162250, batch loss=0.295022, epoch loss=2.459561 Batch=719, step=9120, lr=0.162000, batch loss=0.299952, epoch loss=2.759513 Batch=779, step=9180, lr=0.162000, batch loss=0.315055, epoch loss=3.074568 Batch=839, step=9240, lr=0.161500, batch loss=0.282780, epoch loss=3.357348 Batch=899, step=9300, lr=0.161250, batch loss=0.252268, epoch loss=3.609616 Batch=959, step=9360, lr=0.161000, batch loss=0.211877, epoch loss=3.821493 Batch=1019, step=9420, lr=0.160750, batch loss=0.295850, epoch loss=4.117343 Batch=1079, step=9480, lr=0.160750, batch loss=0.170474, epoch loss=4.287817 Batch=1139, step=9540, lr=0.160250, batch loss=0.199450, epoch loss=4.487268 Batch=1199, step=9600, lr=0.160000, batch loss=0.164730, epoch loss=4.651998 Epoch=7, step=9600, lr=0.160000, epoch loss=4.651998 Batch=59, step=9660, lr=0.159750, batch loss=0.189113, epoch loss=0.189113 Batch=119, step=9720, lr=0.159750, batch loss=0.163162, epoch loss=0.352275 Batch=179, step=9780, lr=0.159500, batch loss=0.178914, epoch loss=0.531189 Batch=239, step=9840, lr=0.159000, batch loss=0.261383, epoch loss=0.792572 Batch=299, step=9900, lr=0.158750, batch loss=0.185153, epoch loss=0.977726 Batch=359, step=9960, lr=0.158500, batch loss=0.244145, epoch loss=1.221870 Batch=419, step=10020, lr=0.158250, batch loss=0.243395, epoch loss=1.465265 Batch=479, step=10080, lr=0.158000, batch loss=0.222017, epoch loss=1.687282 Batch=539, step=10140, lr=0.157750, batch loss=0.164992, epoch loss=1.852274 Batch=599, step=10200, lr=0.157750, batch loss=0.196759, epoch loss=2.049033 Batch=659, step=10260, lr=0.157250, batch loss=0.282656, epoch loss=2.331689 Batch=719, step=10320, lr=0.157000, batch loss=0.278554, epoch loss=2.610243 Batch=779, step=10380, lr=0.156750, batch loss=0.295739, epoch loss=2.905982 Batch=839, step=10440, lr=0.156500, batch loss=0.269749, epoch loss=3.175731 Batch=899, step=10500, lr=0.156500, batch loss=0.237541, epoch loss=3.413272 Batch=959, step=10560, lr=0.156000, batch loss=0.176337, epoch loss=3.589609 Batch=1019, step=10620, lr=0.155750, batch loss=0.298893, epoch loss=3.888502 Batch=1079, step=10680, lr=0.155500, batch loss=0.178518, epoch loss=4.067020 Batch=1139, step=10740, lr=0.155250, batch loss=0.200323, epoch loss=4.267343 Batch=1199, step=10800, lr=0.155000, batch loss=0.155335, epoch loss=4.422677 Epoch=8, step=10800, lr=0.155000, epoch loss=4.422677 Batch=59, step=10860, lr=0.154750, batch loss=0.177677, epoch loss=0.177677 Batch=119, step=10920, lr=0.154750, batch loss=0.153113, epoch loss=0.330790 Batch=179, step=10980, lr=0.154500, batch loss=0.166521, epoch loss=0.497310 Batch=239, step=11040, lr=0.154000, batch loss=0.245841, epoch loss=0.743152 Batch=299, step=11100, lr=0.153750, batch loss=0.161184, epoch loss=0.904336 Batch=359, step=11160, lr=0.153500, batch loss=0.224806, epoch loss=1.129142 Batch=419, step=11220, lr=0.153250, batch loss=0.226091, epoch loss=1.355233 Batch=479, step=11280, lr=0.153000, batch loss=0.204495, epoch loss=1.559728 Batch=539, step=11340, lr=0.153000, batch loss=0.157514, epoch loss=1.717241 Batch=599, step=11400, lr=0.152500, batch loss=0.181166, epoch loss=1.898407 Batch=659, step=11460, lr=0.152250, batch loss=0.262057, epoch loss=2.160465 Batch=719, step=11520, lr=0.152000, batch loss=0.258979, epoch loss=2.419444 Batch=779, step=11580, lr=0.151750, batch loss=0.270378, epoch loss=2.689822 Batch=839, step=11640, lr=0.151500, batch loss=0.257293, epoch loss=2.947115 Batch=899, step=11700, lr=0.151250, batch loss=0.217161, epoch loss=3.164276 Batch=959, step=11760, lr=0.151250, batch loss=0.174243, epoch loss=3.338519 Batch=1019, step=11820, lr=0.150750, batch loss=0.260486, epoch loss=3.599005 Batch=1079, step=11880, lr=0.150500, batch loss=0.147787, epoch loss=3.746792 Batch=1139, step=11940, lr=0.150250, batch loss=0.180975, epoch loss=3.927767 Batch=1199, step=12000, lr=0.150000, batch loss=0.139484, epoch loss=4.067250 Epoch=9, step=12000, lr=0.150000, epoch loss=4.067250 Batch=59, step=12060, lr=0.149750, batch loss=0.161104, epoch loss=0.161104 Batch=119, step=12120, lr=0.149500, batch loss=0.137248, epoch loss=0.298352 Batch=179, step=12180, lr=0.149500, batch loss=0.150963, epoch loss=0.449314 Batch=239, step=12240, lr=0.149250, batch loss=0.218862, epoch loss=0.668176 Batch=299, step=12300, lr=0.149000, batch loss=0.142919, epoch loss=0.811095 Batch=359, step=12360, lr=0.148750, batch loss=0.197586, epoch loss=1.008681 Batch=419, step=12420, lr=0.148500, batch loss=0.206258, epoch loss=1.214939 Batch=479, step=12480, lr=0.148250, batch loss=0.179079, epoch loss=1.394018 Batch=539, step=12540, lr=0.148000, batch loss=0.142507, epoch loss=1.536525 Batch=599, step=12600, lr=0.147750, batch loss=0.148977, epoch loss=1.685502 Batch=659, step=12660, lr=0.147250, batch loss=0.227046, epoch loss=1.912548 Batch=719, step=12720, lr=0.147000, batch loss=0.238737, epoch loss=2.151285 Batch=779, step=12780, lr=0.147000, batch loss=0.264639, epoch loss=2.415924 Batch=839, step=12840, lr=0.146500, batch loss=0.234506, epoch loss=2.650429 Batch=899, step=12900, lr=0.146500, batch loss=0.204051, epoch loss=2.854480 Batch=959, step=12960, lr=0.146250, batch loss=0.145445, epoch loss=2.999925 Batch=1019, step=13020, lr=0.146000, batch loss=0.245189, epoch loss=3.245114 Batch=1079, step=13080, lr=0.145750, batch loss=0.113357, epoch loss=3.358471 Batch=1139, step=13140, lr=0.145500, batch loss=0.149688, epoch loss=3.508159 Batch=1199, step=13200, lr=0.145250, batch loss=0.116469, epoch loss=3.624628 Epoch=10, step=13200, lr=0.145250, epoch loss=3.624628 Batch=59, step=13260, lr=0.145000, batch loss=0.137937, epoch loss=0.137937 Batch=119, step=13320, lr=0.144750, batch loss=0.123545, epoch loss=0.261481 Batch=179, step=13380, lr=0.144500, batch loss=0.127903, epoch loss=0.389384 Batch=239, step=13440, lr=0.144250, batch loss=0.191986, epoch loss=0.581371 Batch=299, step=13500, lr=0.144000, batch loss=0.118576, epoch loss=0.699947 Batch=359, step=13560, lr=0.143750, batch loss=0.166295, epoch loss=0.866241 Batch=419, step=13620, lr=0.143500, batch loss=0.189272, epoch loss=1.055513 Batch=479, step=13680, lr=0.143250, batch loss=0.137506, epoch loss=1.193019 Batch=539, step=13740, lr=0.143000, batch loss=0.117546, epoch loss=1.310564 Batch=599, step=13800, lr=0.142750, batch loss=0.119708, epoch loss=1.430273 Batch=659, step=13860, lr=0.142500, batch loss=0.178323, epoch loss=1.608596 Batch=719, step=13920, lr=0.142250, batch loss=0.172280, epoch loss=1.780876 Batch=779, step=13980, lr=0.142000, batch loss=0.182571, epoch loss=1.963447 Batch=839, step=14040, lr=0.141750, batch loss=0.198754, epoch loss=2.162200 Batch=899, step=14100, lr=0.141500, batch loss=0.205875, epoch loss=2.368076 Batch=959, step=14160, lr=0.141250, batch loss=0.115465, epoch loss=2.483540 Batch=1019, step=14220, lr=0.141000, batch loss=0.195349, epoch loss=2.678889 Batch=1079, step=14280, lr=0.140500, batch loss=0.081133, epoch loss=2.760022 Batch=1139, step=14340, lr=0.140250, batch loss=0.126635, epoch loss=2.886657 Batch=1199, step=14400, lr=0.140000, batch loss=0.085939, epoch loss=2.972596 Epoch=11, step=14400, lr=0.140000, epoch loss=2.972596 Batch=59, step=14460, lr=0.140000, batch loss=0.104877, epoch loss=0.104877 Batch=119, step=14520, lr=0.139750, batch loss=0.098975, epoch loss=0.203852 Batch=179, step=14580, lr=0.139250, batch loss=0.098009, epoch loss=0.301861 Batch=239, step=14640, lr=0.139000, batch loss=0.145954, epoch loss=0.447815 Batch=299, step=14700, lr=0.138750, batch loss=0.108772, epoch loss=0.556586 Batch=359, step=14760, lr=0.138750, batch loss=0.134521, epoch loss=0.691107 Batch=419, step=14820, lr=0.138500, batch loss=0.168701, epoch loss=0.859808 Batch=479, step=14880, lr=0.138250, batch loss=0.086549, epoch loss=0.946357 Batch=539, step=14940, lr=0.138000, batch loss=0.070027, epoch loss=1.016385 Batch=599, step=15000, lr=0.137750, batch loss=0.091624, epoch loss=1.108009 Batch=659, step=15060, lr=0.137250, batch loss=0.125681, epoch loss=1.233690 Batch=719, step=15120, lr=0.137000, batch loss=0.122739, epoch loss=1.356429 Batch=779, step=15180, lr=0.136750, batch loss=0.124928, epoch loss=1.481357 Batch=839, step=15240, lr=0.136500, batch loss=0.147703, epoch loss=1.629060 Batch=899, step=15300, lr=0.136250, batch loss=0.162165, epoch loss=1.791225 Batch=959, step=15360, lr=0.136250, batch loss=0.103161, epoch loss=1.894387 Batch=1019, step=15420, lr=0.135750, batch loss=0.211096, epoch loss=2.105483 Batch=1079, step=15480, lr=0.135500, batch loss=0.039254, epoch loss=2.144737 Batch=1139, step=15540, lr=0.135500, batch loss=0.096816, epoch loss=2.241554 Batch=1199, step=15600, lr=0.135000, batch loss=0.057367, epoch loss=2.298920 Epoch=12, step=15600, lr=0.135000, epoch loss=2.298920 Batch=59, step=15660, lr=0.134750, batch loss=0.075895, epoch loss=0.075895 Batch=119, step=15720, lr=0.134750, batch loss=0.121537, epoch loss=0.197432 Batch=179, step=15780, lr=0.134500, batch loss=0.091159, epoch loss=0.288591 Batch=239, step=15840, lr=0.134000, batch loss=0.093682, epoch loss=0.382273 Batch=299, step=15900, lr=0.134000, batch loss=0.039004, epoch loss=0.421277 Batch=359, step=15960, lr=0.133750, batch loss=0.081377, epoch loss=0.502654 Batch=419, step=16020, lr=0.133250, batch loss=0.079943, epoch loss=0.582597 Batch=479, step=16080, lr=0.133250, batch loss=0.071272, epoch loss=0.653869 Batch=539, step=16140, lr=0.133000, batch loss=0.056984, epoch loss=0.710853 Batch=599, step=16200, lr=0.132750, batch loss=0.111607, epoch loss=0.822461 Batch=659, step=16260, lr=0.132250, batch loss=0.078997, epoch loss=0.901458 Batch=719, step=16320, lr=0.132000, batch loss=0.131872, epoch loss=1.033330 Batch=779, step=16380, lr=0.132000, batch loss=0.338437, epoch loss=1.371767 Batch=839, step=16440, lr=0.131500, batch loss=0.093913, epoch loss=1.465680 Batch=899, step=16500, lr=0.131500, batch loss=0.077081, epoch loss=1.542761 Batch=959, step=16560, lr=0.131000, batch loss=0.034396, epoch loss=1.577157 Batch=1019, step=16620, lr=0.131000, batch loss=0.067153, epoch loss=1.644310 Batch=1079, step=16680, lr=0.130750, batch loss=0.048404, epoch loss=1.692713 Batch=1139, step=16740, lr=0.130500, batch loss=0.084160, epoch loss=1.776873 Batch=1199, step=16800, lr=0.130000, batch loss=0.037929, epoch loss=1.814803 Epoch=13, step=16800, lr=0.130000, epoch loss=1.814803 Batch=59, step=16860, lr=0.129750, batch loss=0.033460, epoch loss=0.033460 Batch=119, step=16920, lr=0.129750, batch loss=0.033914, epoch loss=0.067374 Batch=179, step=16980, lr=0.129250, batch loss=0.042749, epoch loss=0.110123 Batch=239, step=17040, lr=0.129250, batch loss=0.059165, epoch loss=0.169289 Batch=299, step=17100, lr=0.129000, batch loss=0.019654, epoch loss=0.188943 Batch=359, step=17160, lr=0.128750, batch loss=0.041634, epoch loss=0.230577 Batch=419, step=17220, lr=0.128500, batch loss=0.051730, epoch loss=0.282308 Batch=479, step=17280, lr=0.128000, batch loss=0.038802, epoch loss=0.321110 Batch=539, step=17340, lr=0.127750, batch loss=0.096745, epoch loss=0.417855 Batch=599, step=17400, lr=0.127750, batch loss=0.040620, epoch loss=0.458475 Batch=659, step=17460, lr=0.127500, batch loss=0.051966, epoch loss=0.510441 Batch=719, step=17520, lr=0.127250, batch loss=0.038252, epoch loss=0.548693 Batch=779, step=17580, lr=0.127000, batch loss=0.043385, epoch loss=0.592078 Batch=839, step=17640, lr=0.126750, batch loss=0.078129, epoch loss=0.670207 Batch=899, step=17700, lr=0.126500, batch loss=0.052178, epoch loss=0.722385 Batch=959, step=17760, lr=0.126250, batch loss=0.018552, epoch loss=0.740936 Batch=1019, step=17820, lr=0.126000, batch loss=0.023904, epoch loss=0.764841 Batch=1079, step=17880, lr=0.125750, batch loss=0.029823, epoch loss=0.794664 Batch=1139, step=17940, lr=0.125250, batch loss=0.072329, epoch loss=0.866993 Batch=1199, step=18000, lr=0.125250, batch loss=0.018362, epoch loss=0.885355 Epoch=14, step=18000, lr=0.125250, epoch loss=0.885355 Batch=59, step=18060, lr=0.125000, batch loss=0.015973, epoch loss=0.015973 Batch=119, step=18120, lr=0.124750, batch loss=0.021453, epoch loss=0.037425 Batch=179, step=18180, lr=0.124250, batch loss=0.029712, epoch loss=0.067137 Batch=239, step=18240, lr=0.124250, batch loss=0.037344, epoch loss=0.104481 Batch=299, step=18300, lr=0.124000, batch loss=0.015007, epoch loss=0.119488 Batch=359, step=18360, lr=0.123750, batch loss=0.022611, epoch loss=0.142099 Batch=419, step=18420, lr=0.123500, batch loss=0.027457, epoch loss=0.169555 Batch=479, step=18480, lr=0.123250, batch loss=0.024084, epoch loss=0.193639 Batch=539, step=18540, lr=0.123000, batch loss=0.057456, epoch loss=0.251095 Batch=599, step=18600, lr=0.122750, batch loss=0.028152, epoch loss=0.279247 Batch=659, step=18660, lr=0.122500, batch loss=0.031999, epoch loss=0.311246 Batch=719, step=18720, lr=0.122250, batch loss=0.047293, epoch loss=0.358539 Batch=779, step=18780, lr=0.122000, batch loss=0.115527, epoch loss=0.474067 Batch=839, step=18840, lr=0.121750, batch loss=0.050052, epoch loss=0.524119 Batch=899, step=18900, lr=0.121500, batch loss=0.049531, epoch loss=0.573650 Batch=959, step=18960, lr=0.121000, batch loss=0.013419, epoch loss=0.587068 Batch=1019, step=19020, lr=0.121000, batch loss=0.023307, epoch loss=0.610375 Batch=1079, step=19080, lr=0.120750, batch loss=0.012613, epoch loss=0.622988 Batch=1139, step=19140, lr=0.120250, batch loss=0.025577, epoch loss=0.648566 Batch=1199, step=19200, lr=0.120250, batch loss=0.010444, epoch loss=0.659009 Epoch=15, step=19200, lr=0.120250, epoch loss=0.659009 Batch=59, step=19260, lr=0.120000, batch loss=0.006521, epoch loss=0.006521 Batch=119, step=19320, lr=0.119750, batch loss=0.022855, epoch loss=0.029376 Batch=179, step=19380, lr=0.119250, batch loss=0.049492, epoch loss=0.078868 Batch=239, step=19440, lr=0.119000, batch loss=0.021814, epoch loss=0.100682 Batch=299, step=19500, lr=0.119000, batch loss=0.019259, epoch loss=0.119941 Batch=359, step=19560, lr=0.118750, batch loss=0.031702, epoch loss=0.151643 Batch=419, step=19620, lr=0.118500, batch loss=0.020283, epoch loss=0.171926 Batch=479, step=19680, lr=0.118250, batch loss=0.006941, epoch loss=0.178867 Batch=539, step=19740, lr=0.118000, batch loss=0.024922, epoch loss=0.203790 Batch=599, step=19800, lr=0.117750, batch loss=0.025295, epoch loss=0.229085 Batch=659, step=19860, lr=0.117500, batch loss=0.018785, epoch loss=0.247870 Batch=719, step=19920, lr=0.117250, batch loss=0.055854, epoch loss=0.303724 Batch=779, step=19980, lr=0.117000, batch loss=0.076688, epoch loss=0.380412 Batch=839, step=20040, lr=0.116750, batch loss=0.029890, epoch loss=0.410301 Batch=899, step=20100, lr=0.116500, batch loss=0.037691, epoch loss=0.447993 Batch=959, step=20160, lr=0.116250, batch loss=0.012186, epoch loss=0.460178 Batch=1019, step=20220, lr=0.116000, batch loss=0.014295, epoch loss=0.474473 Batch=1079, step=20280, lr=0.115750, batch loss=0.001505, epoch loss=0.475978 Batch=1139, step=20340, lr=0.115500, batch loss=0.015203, epoch loss=0.491181 Batch=1199, step=20400, lr=0.115250, batch loss=0.008121, epoch loss=0.499302 Epoch=16, step=20400, lr=0.115250, epoch loss=0.499302 Batch=59, step=20460, lr=0.115000, batch loss=0.004480, epoch loss=0.004480 Batch=119, step=20520, lr=0.114500, batch loss=0.012039, epoch loss=0.016519 Batch=179, step=20580, lr=0.114500, batch loss=0.024628, epoch loss=0.041148 Batch=239, step=20640, lr=0.114250, batch loss=0.016505, epoch loss=0.057653 Batch=299, step=20700, lr=0.114000, batch loss=0.005587, epoch loss=0.063240 Batch=359, step=20760, lr=0.113750, batch loss=0.012945, epoch loss=0.076185 Batch=419, step=20820, lr=0.113500, batch loss=0.016587, epoch loss=0.092772 Batch=479, step=20880, lr=0.113250, batch loss=0.005548, epoch loss=0.098320 Batch=539, step=20940, lr=0.113000, batch loss=0.015961, epoch loss=0.114281 Batch=599, step=21000, lr=0.112750, batch loss=0.017601, epoch loss=0.131882 Batch=659, step=21060, lr=0.112500, batch loss=0.014069, epoch loss=0.145950 Batch=719, step=21120, lr=0.112250, batch loss=0.045059, epoch loss=0.191009 Batch=779, step=21180, lr=0.112000, batch loss=0.066720, epoch loss=0.257729 Batch=839, step=21240, lr=0.111500, batch loss=0.025655, epoch loss=0.283384 Batch=899, step=21300, lr=0.111500, batch loss=0.028127, epoch loss=0.311511 Batch=959, step=21360, lr=0.111250, batch loss=0.010551, epoch loss=0.322062 Batch=1019, step=21420, lr=0.111000, batch loss=0.010250, epoch loss=0.332311 Batch=1079, step=21480, lr=0.110750, batch loss=0.001365, epoch loss=0.333676 Batch=1139, step=21540, lr=0.110500, batch loss=0.012249, epoch loss=0.345925 Batch=1199, step=21600, lr=0.110250, batch loss=0.004469, epoch loss=0.350395 Epoch=17, step=21600, lr=0.110250, epoch loss=0.350395 Batch=59, step=21660, lr=0.110000, batch loss=0.001513, epoch loss=0.001513 Batch=119, step=21720, lr=0.109750, batch loss=0.008052, epoch loss=0.009565 Batch=179, step=21780, lr=0.109500, batch loss=0.018153, epoch loss=0.027718 Batch=239, step=21840, lr=0.109250, batch loss=0.012375, epoch loss=0.040093 Batch=299, step=21900, lr=0.109000, batch loss=0.002049, epoch loss=0.042142 Batch=359, step=21960, lr=0.108500, batch loss=0.011351, epoch loss=0.053494 Batch=419, step=22020, lr=0.108500, batch loss=0.011747, epoch loss=0.065241 Batch=479, step=22080, lr=0.108000, batch loss=0.003283, epoch loss=0.068524 Batch=539, step=22140, lr=0.107750, batch loss=0.015761, epoch loss=0.084285 Batch=599, step=22200, lr=0.107750, batch loss=0.015151, epoch loss=0.099437 Batch=659, step=22260, lr=0.107500, batch loss=0.013080, epoch loss=0.112516 Batch=719, step=22320, lr=0.107250, batch loss=0.023004, epoch loss=0.135520 Batch=779, step=22380, lr=0.107000, batch loss=0.037754, epoch loss=0.173274 Batch=839, step=22440, lr=0.106750, batch loss=0.020586, epoch loss=0.193860 Batch=899, step=22500, lr=0.106500, batch loss=0.022699, epoch loss=0.216559 Batch=959, step=22560, lr=0.106000, batch loss=0.011644, epoch loss=0.228203 Batch=1019, step=22620, lr=0.106000, batch loss=0.009627, epoch loss=0.237830 Batch=1079, step=22680, lr=0.105750, batch loss=0.000459, epoch loss=0.238289 Batch=1139, step=22740, lr=0.105500, batch loss=0.009917, epoch loss=0.248206 Batch=1199, step=22800, lr=0.105250, batch loss=0.004218, epoch loss=0.252424 Epoch=18, step=22800, lr=0.105250, epoch loss=0.252424 Batch=59, step=22860, lr=0.104750, batch loss=0.001139, epoch loss=0.001139 Batch=119, step=22920, lr=0.104750, batch loss=0.005036, epoch loss=0.006175 Batch=179, step=22980, lr=0.104250, batch loss=0.010114, epoch loss=0.016289 Batch=239, step=23040, lr=0.104250, batch loss=0.008588, epoch loss=0.024877 Batch=299, step=23100, lr=0.103750, batch loss=0.006713, epoch loss=0.031590 Batch=359, step=23160, lr=0.103750, batch loss=0.012197, epoch loss=0.043786 Batch=419, step=23220, lr=0.103500, batch loss=0.010496, epoch loss=0.054282 Batch=479, step=23280, lr=0.103250, batch loss=0.004133, epoch loss=0.058415 Batch=539, step=23340, lr=0.103000, batch loss=0.014050, epoch loss=0.072465 Batch=599, step=23400, lr=0.102750, batch loss=0.014314, epoch loss=0.086779 Batch=659, step=23460, lr=0.102500, batch loss=0.014152, epoch loss=0.100931 Batch=719, step=23520, lr=0.102250, batch loss=0.018276, epoch loss=0.119207 Batch=779, step=23580, lr=0.102000, batch loss=0.019942, epoch loss=0.139149 Batch=839, step=23640, lr=0.101750, batch loss=0.026056, epoch loss=0.165205 Batch=899, step=23700, lr=0.101250, batch loss=0.021721, epoch loss=0.186926 Batch=959, step=23760, lr=0.101250, batch loss=0.007717, epoch loss=0.194643 Batch=1019, step=23820, lr=0.101000, batch loss=0.008059, epoch loss=0.202702 Batch=1079, step=23880, lr=0.100750, batch loss=0.000480, epoch loss=0.203183 Batch=1139, step=23940, lr=0.100500, batch loss=0.009307, epoch loss=0.212490 Batch=1199, step=24000, lr=0.100250, batch loss=0.004376, epoch loss=0.216866 Epoch=19, step=24000, lr=0.100250, epoch loss=0.216866 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 20:06.06: Job failed: Failed: Build failed