2025-05-22 12:20.03: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (9afb61d245b2724d2132450805c8b080ac7e0c9a) (linux-x86_64:debian-12-5.3_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 9afb61d2 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 c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-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 12:20.03: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a-debian-12-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c" 2025-05-22 12:20.03: 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 c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-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 12:20.03: Waiting for resource in pool OCluster 2025-05-22 12:20.03: Waiting for worker… 2025-05-22 12:20.03: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at 9afb61d2 In progress / broken: Format -> PPrint migration first pass by Claude (from ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a) 2025-05-22 12:20.05 ---> 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 12:20.05 ---> 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 12:20.05 ---> using "87f3e5a80755168fb4361602ab86da8431db1c0a4b82a5265de42e259ab24c66" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-139-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-22 12:20.05 ---> using "845852dbffbb340f0f2c13031c11ce1dfd03ae99790c5dc859c7ad5e21d0e7a8" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-22 12:20.05 ---> 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 c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..27f5ac67c2 master -> origin/master c7d6d1d2aa Merge pull request #27880 from MisterDA/os-family-fedora <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-22 12:20.05 ---> using "8cc7e1c64bc8656f9760e9ef22c654e746ffbd9d197431bb832a2894a3229e8c" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-22 12:20.05 ---> using "f1ddad3733c33a9ebb2eca7d7ce34bef7034cac48c91ebfad508ead933cc451d" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-05-22 12:20.05 ---> using "8a6b0e24c4a1018c066212c7312abb80eff8a083fc3c10f113e755275e1c03a6" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-22 12:20.05 ---> using "26df6ff97f03ae829bcce01fa3d9288524b3116d6ebbe6a9daae2b1370fd76c5" from cache /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-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 2s (5695 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 12:20.05 ---> using "6eb1eb8c7178acf92e1276a60492fa769a058525eed6536681551e7d9c7434f3" from cache /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 3.18.2 - install dune-configurator 3.18.2 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved 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 dune.3.18.2, dune-configurator.3.18.2 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> 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.3.18.2 -> 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-syntax-shims.1.0.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.18.2 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ppxlib.0.35.0 -> installed printbox-ext-plot.0.12 -> 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_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 12:20.05 ---> using "70dab8f0360d6d3056e7a593658941759639868bb7c6fa48fcefb04853f9f242" from cache /src: (copy (src .) (dst /src)) 2025-05-22 12:20.05 ---> saved as "8c72f4335d551c360d0722fcd0ff2270839f4936e42f4efd5e1514d5058eb8f3" /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/b4014eaf55f1ddcaa416f736fc652ea9/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d0dce5ba6a6cf2a9f50a3e8bcc8a56ac/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/micrograd_demo.ml.corrected diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/default/test/micrograd_demo.ml.corrected index 77e46c6..3cb470c 100644 --- a/_build/default/test/micrograd_demo.ml +++ b/_build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/hello_world_op.ml.corrected diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/default/test/hello_world_op.ml.corrected index ba9d7ef..6b90c44 100644 --- a/_build/default/test/hello_world_op.ml +++ b/_build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/default/test/hello_world_op.ml.corrected @@ -102,36 +102,39 @@ let%expect_test "Print constant tensor" = let%op hey = [ (1, 2, 3); (4, 5, 6) ] in Train.forward_and_forget backend ctx hey; Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey; - [%expect {| [1.00, 2.00, 3.00; 4.00, 5.00, 6.00] |}]; + [%expect {| [ 1.00 , 2.00 , 3.00 ; 4.00 , 5.00 , 6.00 ][0]: c2x3_hey shape 1:3->0:2 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hey; [%expect {| - ┌─────────────────────────────────────────────────────────────┐ - │[0]: [1.00, 2.00, 3.00; 4.00, 5.00, 6.00]_hey shape 1:3->0:2 │ - │┌──────┬──────────────────┐ │ - ││ │axis 1 │ │ - │├──────┼──────────────────┤ │ - ││axis 0│ 1.00 2.00 3.00 │ │ - ││ │ 4.00 5.00 6.00 │ │ - │└──────┴──────────────────┘ │ - └─────────────────────────────────────────────────────────────┘ + ┌─────────────────────────────┐ + │[0]: c2x3_hey shape 1:3->0:2 │ + │┌──────┬──────────────────┐ │ + ││ │axis 1 │ │ + │├──────┼──────────────────┤ │ + ││axis 0│ 1.00 2.00 3.00 │ │ + ││ │ 4.00 5.00 6.00 │ │ + │└──────┴──────────────────┘ │ + └─────────────────────────────┘ |}]; let%op hoo = [| [ 1; 2; 3 ]; [ 4; 5; 6 ] |] in Train.forward_and_forget backend ctx hoo; Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo; - [%expect {| [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|] |}]; + [%expect {| + [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |][1]: c2x3_hoo shape + 0:2|1:3 + |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo; [%expect {| - ┌──────────────────────────────────────────────────────────────────┐ - │[1]: [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|]_hoo shape 0:2|1:3 │ - │┌──────┬──────────────────┐ │ - ││ │axis 1 │ │ - │├──────┼──────────────────┤ │ - ││axis 0│ 1.00 2.00 3.00 │ │ - ││ │ 4.00 5.00 6.00 │ │ - │└──────┴──────────────────┘ │ - └──────────────────────────────────────────────────────────────────┘ + ┌────────────────────────────┐ + │[1]: c2x3_hoo shape 0:2|1:3 │ + │┌──────┬──────────────────┐ │ + ││ │axis 1 │ │ + │├──────┼──────────────────┤ │ + ││axis 0│ 1.00 2.00 3.00 │ │ + ││ │ 4.00 5.00 6.00 │ │ + │└──────┴──────────────────┘ │ + └────────────────────────────┘ |}]; let%op hey2 = [ @@ -145,10 +148,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey2; [%expect {| - [(1.00, 2.00, 3.00), (4.00, 5.00, 6.00); - (7.00, 8.00, 9.00), (10.00, 11.00, 12.00); - (13.00, 14.00, 15.00), (16.00, 17.00, 18.00); - (19.00, 20.00, 21.00), (22.00, 23.00, 24.00)] + [ + ( 1.00 , 2.00 , 3.00 ) , ( 4.00 , 5.00 , 6.00 ) + ; ( 7.00 , 8.00 , 9.00 ) , ( 10.00 , 11.00 , 12.00 ) + ; ( 13.00 , 14.00 , 15.00 ) , ( 16.00 , 17.00 , 18.00 ) + ; ( 19.00 , 20.00 , 21.00 ) , ( 22.00 , 23.00 , 24.00 ) + ][2]: c4x2x3_hey2 shape 1:2,2:3->0:4 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hey2; [%expect @@ -178,10 +183,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo2; [%expect {| - [|[[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]]; - [[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]]; - [[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]]; - [[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]]|] + [| + [ [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] ] + ; [ [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] ] + ; [ [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] ] + ; [ [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] ] + |][3]: c4x2x3_hoo2 shape 0:4|1:2,2:3 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo2; [%expect @@ -209,10 +216,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo; [%expect {| - [|[|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|]; - [|[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]|]; - [|[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]|]; - [|[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]|]|] + [| + [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |] + ; [| [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] |] + ; [| [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] |] + ; [| [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] |] + |][4]: c4x2x3_heyhoo shape 0:4,1:2|2:3 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo; [%expect @@ -241,14 +250,23 @@ let%expect_test "Print constant tensor" = [%expect {| [| - [|[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]]; - [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]|]; - [|[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]]; - [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]|]; - [|[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]]; - [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]|]; - [|[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]]; - [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]|]|] + [| + [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ] + ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ] + |] + ; [| + [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ] + ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ] + |] + ; [| + [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ] + ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ] + |] + ; [| + [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ] + ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ] + |] + |][5]: c4x2x3x2_heyhoo2 shape 0:4,1:2|2:3,3:2 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo2; [%expect @@ -295,15 +313,26 @@ let%expect_test "Print constant tensor" = {| [| [| - [[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]]; - [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]]; - [[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]]; - [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]]|]; - [| - [[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]]; - [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]]; - [[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]]; - [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]]|]|] + [ + [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ] + ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ] + ] + ; [ + [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ] + ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ] + ] + |] + ; [| + [ + [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ] + ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ] + ] + ; [ + [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ] + ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ] + ] + |] + |][6]: c2x2x2x3x2_heyhoo3 shape 0:2,1:2|2:2,3:3,4:2 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo3; [%expect @@ -355,15 +384,26 @@ let%expect_test "Print constant tensor" = {| [| [ - [[1.00, 31.00; 2.00, 32.00; 3.00, 33.00]; - [4.00, 34.00; 5.00, 35.00; 6.00, 36.00]]; - [[7.00, 37.00; 8.00, 38.00; 9.00, 39.00]; - [10.00, 40.00; 11.00, 41.00; 12.00, 42.00]]]; - [ - [[13.00, 43.00; 14.00, 44.00; 15.00, 45.00]; - [16.00, 46.00; 17.00, 47.00; 18.00, 48.00]]; - [[19.00, 49.00; 20.00, 50.00; 21.00, 51.00]; - [22.00, 52.00; 23.00, 53.00; 24.00, 54.00]]]|] + [ + [ 1.00 , 31.00 ; 2.00 , 32.00 ; 3.00 , 33.00 ] + ; [ 4.00 , 34.00 ; 5.00 , 35.00 ; 6.00 , 36.00 ] + ] + ; [ + [ 7.00 , 37.00 ; 8.00 , 38.00 ; 9.00 , 39.00 ] + ; [ 10.00 , 40.00 ; 11.00 , 41.00 ; 12.00 , 42.00 ] + ] + ] + ; [ + [ + [ 13.00 , 43.00 ; 14.00 , 44.00 ; 15.00 , 45.00 ] + ; [ 16.00 , 46.00 ; 17.00 , 47.00 ; 18.00 , 48.00 ] + ] + ; [ + [ 19.00 , 49.00 ; 20.00 , 50.00 ; 21.00 , 51.00 ] + ; [ 22.00 , 52.00 ; 23.00 , 53.00 ; 24.00 , 54.00 ] + ] + ] + |][7]: c2x2x2x3x2_heyhoo4 shape 0:2|4:2->1:2,2:2,3:3 |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo4; [%expect @@ -462,8 +502,29 @@ let%expect_test "Big matrix" = Tensor.print ~with_code:false ~with_grad:false `Inline zero_to_twenty; [%expect {| - [0.00; 1.00; 2.00; 3.00; 4.00; 5.00; 6.00; 7.00; 8.00; 9.00; 10.00; 11.00; - 12.00; 13.00; 14.00; 15.00; 16.00; 17.00; 18.00; 19.00; 20.00] + [ + 0.00 + ; 1.00 + ; 2.00 + ; 3.00 + ; 4.00 + ; 5.00 + ; 6.00 + ; 7.00 + ; 8.00 + ; 9.00 + ; 10.00 + ; 11.00 + ; 12.00 + ; 13.00 + ; 14.00 + ; 15.00 + ; 16.00 + ; 17.00 + ; 18.00 + ; 19.00 + ; 20.00 + ][2]: 0...20 shape 0:21 |}]; Tensor.print ~with_code:false ~with_grad:false `Default zero_to_twenty; [%expect (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191500, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214043, epoch loss=4.624456 Batch=1019, step=2220, lr=0.191000, batch loss=0.330959, epoch loss=4.955415 Batch=1079, step=2280, lr=0.190750, batch loss=0.208252, epoch loss=5.163667 Batch=1139, step=2340, lr=0.190500, batch loss=0.278359, epoch loss=5.442026 Batch=1199, step=2400, lr=0.190250, batch loss=0.220799, epoch loss=5.662825 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662825 Batch=59, step=2460, lr=0.190000, batch loss=0.230370, epoch loss=0.230370 Batch=119, step=2520, lr=0.189750, batch loss=0.195956, epoch loss=0.426326 Batch=179, step=2580, lr=0.189500, batch loss=0.221160, epoch loss=0.647486 Batch=239, step=2640, lr=0.189250, batch loss=0.328100, epoch loss=0.975586 Batch=299, step=2700, lr=0.189000, batch loss=0.202943, epoch loss=1.178529 Batch=359, step=2760, lr=0.188750, batch loss=0.289897, epoch loss=1.468427 Batch=419, step=2820, lr=0.188500, batch loss=0.281741, epoch loss=1.750167 Batch=479, step=2880, lr=0.188250, batch loss=0.264850, epoch loss=2.015017 Batch=539, step=2940, lr=0.188000, batch loss=0.203791, epoch loss=2.218808 Batch=599, step=3000, lr=0.187750, batch loss=0.248086, epoch loss=2.466894 Batch=659, step=3060, lr=0.187500, batch loss=0.345052, epoch loss=2.811946 Batch=719, step=3120, lr=0.187250, batch loss=0.343553, epoch loss=3.155499 Batch=779, step=3180, lr=0.187000, batch loss=0.366986, epoch loss=3.522485 Batch=839, step=3240, lr=0.186750, batch loss=0.321784, epoch loss=3.844269 Batch=899, step=3300, lr=0.186500, batch loss=0.283862, epoch loss=4.128131 Batch=959, step=3360, lr=0.186250, batch loss=0.214419, epoch loss=4.342550 Batch=1019, step=3420, lr=0.186000, batch loss=0.306393, epoch loss=4.648943 Batch=1079, step=3480, lr=0.185750, batch loss=0.177319, epoch loss=4.826262 Batch=1139, step=3540, lr=0.185500, batch loss=0.235573, epoch loss=5.061835 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259746 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259746 Batch=59, step=3660, lr=0.185000, batch loss=0.226545, epoch loss=0.226545 Batch=119, step=3720, lr=0.184750, batch loss=0.191990, epoch loss=0.418535 Batch=179, step=3780, lr=0.184500, batch loss=0.210596, epoch loss=0.629131 Batch=239, step=3840, lr=0.184250, batch loss=0.316671, epoch loss=0.945802 Batch=299, step=3900, lr=0.184000, batch loss=0.207871, epoch loss=1.153673 Batch=359, step=3960, lr=0.183750, batch loss=0.289016, epoch loss=1.442689 Batch=419, step=4020, lr=0.183500, batch loss=0.291000, epoch loss=1.733689 Batch=479, step=4080, lr=0.183250, batch loss=0.259799, epoch loss=1.993488 Batch=539, step=4140, lr=0.183000, batch loss=0.197473, epoch loss=2.190961 Batch=599, step=4200, lr=0.182750, batch loss=0.236659, epoch loss=2.427620 Batch=659, step=4260, lr=0.182500, batch loss=0.332865, epoch loss=2.760485 Batch=719, step=4320, lr=0.182250, batch loss=0.338195, epoch loss=3.098680 Batch=779, step=4380, lr=0.182000, batch loss=0.349447, epoch loss=3.448127 Batch=839, step=4440, lr=0.181750, batch loss=0.315970, epoch loss=3.764096 Batch=899, step=4500, lr=0.181500, batch loss=0.285926, epoch loss=4.050022 Batch=959, step=4560, lr=0.181250, batch loss=0.251717, epoch loss=4.301739 Batch=1019, step=4620, lr=0.181000, batch loss=0.363923, epoch loss=4.665663 Batch=1079, step=4680, lr=0.180750, batch loss=0.207850, epoch loss=4.873512 Batch=1139, step=4740, lr=0.180500, batch loss=0.249717, epoch loss=5.123229 Batch=1199, step=4800, lr=0.180250, batch loss=0.191077, epoch loss=5.314306 Epoch=3, step=4800, lr=0.180250, epoch loss=5.314306 Batch=59, step=4860, lr=0.180000, batch loss=0.228173, epoch loss=0.228173 Batch=119, step=4920, lr=0.179750, batch loss=0.189964, epoch loss=0.418137 Batch=179, step=4980, lr=0.179500, batch loss=0.205934, epoch loss=0.624070 Batch=239, step=5040, lr=0.179250, batch loss=0.306186, epoch loss=0.930256 Batch=299, step=5100, lr=0.179000, batch loss=0.201832, epoch loss=1.132088 Batch=359, step=5160, lr=0.178750, batch loss=0.271384, epoch loss=1.403472 Batch=419, step=5220, lr=0.178500, batch loss=0.264102, epoch loss=1.667574 Batch=479, step=5280, lr=0.178250, batch loss=0.240053, epoch loss=1.907626 Batch=539, step=5340, lr=0.178000, batch loss=0.189432, epoch loss=2.097058 Batch=599, step=5400, lr=0.177750, batch loss=0.231587, epoch loss=2.328646 Batch=659, step=5460, lr=0.177500, batch loss=0.323266, epoch loss=2.651912 Batch=719, step=5520, lr=0.177250, batch loss=0.325792, epoch loss=2.977704 Batch=779, step=5580, lr=0.177000, batch loss=0.342837, epoch loss=3.320541 Batch=839, step=5640, lr=0.176750, batch loss=0.309482, epoch loss=3.630023 Batch=899, step=5700, lr=0.176500, batch loss=0.273215, epoch loss=3.903238 Batch=959, step=5760, lr=0.176250, batch loss=0.214882, epoch loss=4.118120 Batch=1019, step=5820, lr=0.176000, batch loss=0.337905, epoch loss=4.456026 Batch=1079, step=5880, lr=0.175750, batch loss=0.190273, epoch loss=4.646299 Batch=1139, step=5940, lr=0.175500, batch loss=0.221475, epoch loss=4.867773 Batch=1199, step=6000, lr=0.175250, batch loss=0.187374, epoch loss=5.055147 Epoch=4, step=6000, lr=0.175250, epoch loss=5.055147 Batch=59, step=6060, lr=0.175000, batch loss=0.237619, epoch loss=0.237619 Batch=119, step=6120, lr=0.174750, batch loss=0.190000, epoch loss=0.427619 Batch=179, step=6180, lr=0.174500, batch loss=0.201302, epoch loss=0.628920 Batch=239, step=6240, lr=0.174250, batch loss=0.300508, epoch loss=0.929428 Batch=299, step=6300, lr=0.174000, batch loss=0.202488, epoch loss=1.131916 Batch=359, step=6360, lr=0.173750, batch loss=0.262188, epoch loss=1.394104 Batch=419, step=6420, lr=0.173500, batch loss=0.257794, epoch loss=1.651898 Batch=479, step=6480, lr=0.173250, batch loss=0.234570, epoch loss=1.886469 Batch=539, step=6540, lr=0.173000, batch loss=0.191027, epoch loss=2.077495 Batch=599, step=6600, lr=0.172750, batch loss=0.232060, epoch loss=2.309555 Batch=659, step=6660, lr=0.172500, batch loss=0.312775, epoch loss=2.622330 Batch=719, step=6720, lr=0.172250, batch loss=0.315738, epoch loss=2.938068 Batch=779, step=6780, lr=0.172000, batch loss=0.328587, epoch loss=3.266654 Batch=839, step=6840, lr=0.171750, batch loss=0.300657, epoch loss=3.567311 Batch=899, step=6900, lr=0.171500, batch loss=0.270647, epoch loss=3.837958 Batch=959, step=6960, lr=0.171250, batch loss=0.206002, epoch loss=4.043960 Batch=1019, step=7020, lr=0.171000, batch loss=0.329956, epoch loss=4.373916 Batch=1079, step=7080, lr=0.170750, batch loss=0.183537, epoch loss=4.557453 Batch=1139, step=7140, lr=0.170500, batch loss=0.215923, epoch loss=4.773375 Batch=1199, step=7200, lr=0.170250, batch loss=0.182411, epoch loss=4.955786 Epoch=5, step=7200, lr=0.170250, epoch loss=4.955786 Batch=59, step=7260, lr=0.169750, batch loss=0.235364, epoch loss=0.235364 Batch=119, step=7320, lr=0.169750, batch loss=0.183065, epoch loss=0.418429 Batch=179, step=7380, lr=0.169500, batch loss=0.195716, epoch loss=0.614146 Batch=239, step=7440, lr=0.169250, batch loss=0.293875, epoch loss=0.908020 Batch=299, step=7500, lr=0.169000, batch loss=0.203628, epoch loss=1.111649 Batch=359, step=7560, lr=0.168750, batch loss=0.264832, epoch loss=1.376481 Batch=419, step=7620, lr=0.168500, batch loss=0.258730, epoch loss=1.635210 Batch=479, step=7680, lr=0.168250, batch loss=0.234439, epoch loss=1.869649 Batch=539, step=7740, lr=0.168000, batch loss=0.191467, epoch loss=2.061116 Batch=599, step=7800, lr=0.167750, batch loss=0.228479, epoch loss=2.289595 Batch=659, step=7860, lr=0.167500, batch loss=0.304517, epoch loss=2.594112 Batch=719, step=7920, lr=0.167250, batch loss=0.310090, epoch loss=2.904202 Batch=779, step=7980, lr=0.167000, batch loss=0.328924, epoch loss=3.233125 Batch=839, step=8040, lr=0.166750, batch loss=0.292751, epoch loss=3.525877 Batch=899, step=8100, lr=0.166500, batch loss=0.262315, epoch loss=3.788192 Batch=959, step=8160, lr=0.166250, batch loss=0.198287, epoch loss=3.986478 Batch=1019, step=8220, lr=0.166000, batch loss=0.327056, epoch loss=4.313534 Batch=1079, step=8280, lr=0.165750, batch loss=0.191021, epoch loss=4.504555 Batch=1139, step=8340, lr=0.165500, batch loss=0.224545, epoch loss=4.729100 Batch=1199, step=8400, lr=0.165250, batch loss=0.173853, epoch loss=4.902953 Epoch=6, step=8400, lr=0.165250, epoch loss=4.902953 Batch=59, step=8460, lr=0.165000, batch loss=0.209518, epoch loss=0.209518 Batch=119, step=8520, lr=0.164750, batch loss=0.173624, epoch loss=0.383141 Batch=179, step=8580, lr=0.164500, batch loss=0.188470, epoch loss=0.571612 Batch=239, step=8640, lr=0.164250, batch loss=0.279450, epoch loss=0.851062 Batch=299, step=8700, lr=0.164000, batch loss=0.191845, epoch loss=1.042907 Batch=359, step=8760, lr=0.163750, batch loss=0.248049, epoch loss=1.290956 Batch=419, step=8820, lr=0.163500, batch loss=0.246465, epoch loss=1.537421 Batch=479, step=8880, lr=0.163250, batch loss=0.227529, epoch loss=1.764950 Batch=539, step=8940, lr=0.163000, batch loss=0.179515, epoch loss=1.944465 Batch=599, step=9000, lr=0.162750, batch loss=0.216075, epoch loss=2.160540 Batch=659, step=9060, lr=0.162500, batch loss=0.295853, epoch loss=2.456392 Batch=719, step=9120, lr=0.162250, batch loss=0.294524, epoch loss=2.750917 Batch=779, step=9180, lr=0.162000, batch loss=0.317611, epoch loss=3.068528 Batch=839, step=9240, lr=0.161750, batch loss=0.286198, epoch loss=3.354726 Batch=899, step=9300, lr=0.161500, batch loss=0.251491, epoch loss=3.606217 Batch=959, step=9360, lr=0.161250, batch loss=0.199998, epoch loss=3.806216 Batch=1019, step=9420, lr=0.161000, batch loss=0.306951, epoch loss=4.113166 Batch=1079, step=9480, lr=0.160750, batch loss=0.196074, epoch loss=4.309240 Batch=1139, step=9540, lr=0.160500, batch loss=0.213450, epoch loss=4.522690 Batch=1199, step=9600, lr=0.160250, batch loss=0.167077, epoch loss=4.689767 Epoch=7, step=9600, lr=0.160250, epoch loss=4.689767 Batch=59, step=9660, lr=0.160000, batch loss=0.213278, epoch loss=0.213278 Batch=119, step=9720, lr=0.159750, batch loss=0.169079, epoch loss=0.382356 Batch=179, step=9780, lr=0.159500, batch loss=0.178709, epoch loss=0.561065 Batch=239, step=9840, lr=0.159250, batch loss=0.261129, epoch loss=0.822195 Batch=299, step=9900, lr=0.159000, batch loss=0.186051, epoch loss=1.008246 Batch=359, step=9960, lr=0.158750, batch loss=0.239542, epoch loss=1.247787 Batch=419, step=10020, lr=0.158500, batch loss=0.232319, epoch loss=1.480107 Batch=479, step=10080, lr=0.158250, batch loss=0.213601, epoch loss=1.693708 Batch=539, step=10140, lr=0.158000, batch loss=0.170613, epoch loss=1.864321 Batch=599, step=10200, lr=0.157750, batch loss=0.201150, epoch loss=2.065471 Batch=659, step=10260, lr=0.157500, batch loss=0.281892, epoch loss=2.347364 Batch=719, step=10320, lr=0.157250, batch loss=0.285667, epoch loss=2.633031 Batch=779, step=10380, lr=0.157000, batch loss=0.295194, epoch loss=2.928225 Batch=839, step=10440, lr=0.156750, batch loss=0.273416, epoch loss=3.201641 Batch=899, step=10500, lr=0.156500, batch loss=0.235426, epoch loss=3.437067 Batch=959, step=10560, lr=0.156250, batch loss=0.181532, epoch loss=3.618599 Batch=1019, step=10620, lr=0.156000, batch loss=0.296323, epoch loss=3.914922 Batch=1079, step=10680, lr=0.155750, batch loss=0.178202, epoch loss=4.093124 Batch=1139, step=10740, lr=0.155500, batch loss=0.203987, epoch loss=4.297111 Batch=1199, step=10800, lr=0.155250, batch loss=0.154561, epoch loss=4.451672 Epoch=8, step=10800, lr=0.155250, epoch loss=4.451672 Batch=59, step=10860, lr=0.155000, batch loss=0.176934, epoch loss=0.176934 Batch=119, step=10920, lr=0.154750, batch loss=0.150765, epoch loss=0.327699 Batch=179, step=10980, lr=0.154500, batch loss=0.167443, epoch loss=0.495142 Batch=239, step=11040, lr=0.154250, batch loss=0.247211, epoch loss=0.742354 Batch=299, step=11100, lr=0.154000, batch loss=0.165857, epoch loss=0.908211 Batch=359, step=11160, lr=0.153750, batch loss=0.222148, epoch loss=1.130359 Batch=419, step=11220, lr=0.153500, batch loss=0.227565, epoch loss=1.357924 Batch=479, step=11280, lr=0.153250, batch loss=0.202079, epoch loss=1.560003 Batch=539, step=11340, lr=0.153000, batch loss=0.158958, epoch loss=1.718962 Batch=599, step=11400, lr=0.152750, batch loss=0.178305, epoch loss=1.897267 Batch=659, step=11460, lr=0.152500, batch loss=0.265317, epoch loss=2.162584 Batch=719, step=11520, lr=0.152250, batch loss=0.252448, epoch loss=2.415032 Batch=779, step=11580, lr=0.152000, batch loss=0.271840, epoch loss=2.686872 Batch=839, step=11640, lr=0.151750, batch loss=0.254803, epoch loss=2.941674 Batch=899, step=11700, lr=0.151500, batch loss=0.212353, epoch loss=3.154028 Batch=959, step=11760, lr=0.151250, batch loss=0.167284, epoch loss=3.321311 Batch=1019, step=11820, lr=0.151000, batch loss=0.263864, epoch loss=3.585175 Batch=1079, step=11880, lr=0.150750, batch loss=0.151099, epoch loss=3.736274 Batch=1139, step=11940, lr=0.150500, batch loss=0.184755, epoch loss=3.921029 Batch=1199, step=12000, lr=0.150250, batch loss=0.139488, epoch loss=4.060517 Epoch=9, step=12000, lr=0.150250, epoch loss=4.060517 Batch=59, step=12060, lr=0.150000, batch loss=0.157818, epoch loss=0.157818 Batch=119, step=12120, lr=0.149750, batch loss=0.128004, epoch loss=0.285822 Batch=179, step=12180, lr=0.149500, batch loss=0.149692, epoch loss=0.435514 Batch=239, step=12240, lr=0.149250, batch loss=0.222345, epoch loss=0.657860 Batch=299, step=12300, lr=0.149000, batch loss=0.141021, epoch loss=0.798880 Batch=359, step=12360, lr=0.148750, batch loss=0.195496, epoch loss=0.994376 Batch=419, step=12420, lr=0.148500, batch loss=0.205668, epoch loss=1.200044 Batch=479, step=12480, lr=0.148250, batch loss=0.178186, epoch loss=1.378230 Batch=539, step=12540, lr=0.148000, batch loss=0.141851, epoch loss=1.520081 Batch=599, step=12600, lr=0.147750, batch loss=0.149953, epoch loss=1.670034 Batch=659, step=12660, lr=0.147500, batch loss=0.224204, epoch loss=1.894239 Batch=719, step=12720, lr=0.147250, batch loss=0.235383, epoch loss=2.129621 Batch=779, step=12780, lr=0.147000, batch loss=0.258847, epoch loss=2.388468 Batch=839, step=12840, lr=0.146750, batch loss=0.232712, epoch loss=2.621180 Batch=899, step=12900, lr=0.146500, batch loss=0.216222, epoch loss=2.837402 Batch=959, step=12960, lr=0.146250, batch loss=0.150762, epoch loss=2.988164 Batch=1019, step=13020, lr=0.146000, batch loss=0.263400, epoch loss=3.251563 Batch=1079, step=13080, lr=0.145750, batch loss=0.110869, epoch loss=3.362432 Batch=1139, step=13140, lr=0.145500, batch loss=0.156497, epoch loss=3.518930 Batch=1199, step=13200, lr=0.145250, batch loss=0.118434, epoch loss=3.637364 Epoch=10, step=13200, lr=0.145250, epoch loss=3.637364 Batch=59, step=13260, lr=0.145000, batch loss=0.141206, epoch loss=0.141206 Batch=119, step=13320, lr=0.144750, batch loss=0.120313, epoch loss=0.261519 Batch=179, step=13380, lr=0.144500, batch loss=0.128651, epoch loss=0.390170 Batch=239, step=13440, lr=0.144250, batch loss=0.193804, epoch loss=0.583974 Batch=299, step=13500, lr=0.144000, batch loss=0.116029, epoch loss=0.700003 Batch=359, step=13560, lr=0.143750, batch loss=0.158366, epoch loss=0.858369 Batch=419, step=13620, lr=0.143500, batch loss=0.155978, epoch loss=1.014347 Batch=479, step=13680, lr=0.143250, batch loss=0.140950, epoch loss=1.155297 Batch=539, step=13740, lr=0.143000, batch loss=0.120546, epoch loss=1.275843 Batch=599, step=13800, lr=0.142750, batch loss=0.119843, epoch loss=1.395687 Batch=659, step=13860, lr=0.142500, batch loss=0.175656, epoch loss=1.571342 Batch=719, step=13920, lr=0.142250, batch loss=0.175403, epoch loss=1.746745 Batch=779, step=13980, lr=0.142000, batch loss=0.196294, epoch loss=1.943039 Batch=839, step=14040, lr=0.141750, batch loss=0.185742, epoch loss=2.128781 Batch=899, step=14100, lr=0.141500, batch loss=0.156730, epoch loss=2.285511 Batch=959, step=14160, lr=0.141250, batch loss=0.132366, epoch loss=2.417877 Batch=1019, step=14220, lr=0.141000, batch loss=0.294484, epoch loss=2.712361 Batch=1079, step=14280, lr=0.140750, batch loss=0.083186, epoch loss=2.795548 Batch=1139, step=14340, lr=0.140500, batch loss=0.126121, epoch loss=2.921668 Batch=1199, step=14400, lr=0.140250, batch loss=0.093143, epoch loss=3.014812 Epoch=11, step=14400, lr=0.140250, epoch loss=3.014812 Batch=59, step=14460, lr=0.140000, batch loss=0.116820, epoch loss=0.116820 Batch=119, step=14520, lr=0.139750, batch loss=0.106424, epoch loss=0.223244 Batch=179, step=14580, lr=0.139500, batch loss=0.103974, epoch loss=0.327218 Batch=239, step=14640, lr=0.139250, batch loss=0.139032, epoch loss=0.466249 Batch=299, step=14700, lr=0.139000, batch loss=0.079869, epoch loss=0.546119 Batch=359, step=14760, lr=0.138750, batch loss=0.116914, epoch loss=0.663032 Batch=419, step=14820, lr=0.138500, batch loss=0.124468, epoch loss=0.787500 Batch=479, step=14880, lr=0.138250, batch loss=0.102848, epoch loss=0.890349 Batch=539, step=14940, lr=0.138000, batch loss=0.115569, epoch loss=1.005918 Batch=599, step=15000, lr=0.137750, batch loss=0.087375, epoch loss=1.093293 Batch=659, step=15060, lr=0.137500, batch loss=0.125192, epoch loss=1.218485 Batch=719, step=15120, lr=0.137250, batch loss=0.130086, epoch loss=1.348571 Batch=779, step=15180, lr=0.137000, batch loss=0.162580, epoch loss=1.511151 Batch=839, step=15240, lr=0.136750, batch loss=0.156395, epoch loss=1.667546 Batch=899, step=15300, lr=0.136500, batch loss=0.252490, epoch loss=1.920036 Batch=959, step=15360, lr=0.136250, batch loss=0.062696, epoch loss=1.982732 Batch=1019, step=15420, lr=0.136000, batch loss=0.142263, epoch loss=2.124995 Batch=1079, step=15480, lr=0.135750, batch loss=0.041075, epoch loss=2.166069 Batch=1139, step=15540, lr=0.135500, batch loss=0.100176, epoch loss=2.266245 Batch=1199, step=15600, lr=0.135250, batch loss=0.060526, epoch loss=2.326771 Epoch=12, step=15600, lr=0.135250, epoch loss=2.326771 Batch=59, step=15660, lr=0.135000, batch loss=0.078891, epoch loss=0.078891 Batch=119, step=15720, lr=0.134750, batch loss=0.117549, epoch loss=0.196440 Batch=179, step=15780, lr=0.134500, batch loss=0.090741, epoch loss=0.287181 Batch=239, step=15840, lr=0.134250, batch loss=0.092761, epoch loss=0.379943 Batch=299, step=15900, lr=0.134000, batch loss=0.039255, epoch loss=0.419197 Batch=359, step=15960, lr=0.133750, batch loss=0.082159, epoch loss=0.501356 Batch=419, step=16020, lr=0.133500, batch loss=0.077718, epoch loss=0.579075 Batch=479, step=16080, lr=0.133250, batch loss=0.056723, epoch loss=0.635798 Batch=539, step=16140, lr=0.133000, batch loss=0.068061, epoch loss=0.703859 Batch=599, step=16200, lr=0.132750, batch loss=0.170364, epoch loss=0.874223 Batch=659, step=16260, lr=0.132500, batch loss=0.095306, epoch loss=0.969530 Batch=719, step=16320, lr=0.132250, batch loss=0.125559, epoch loss=1.095089 Batch=779, step=16380, lr=0.132000, batch loss=0.284426, epoch loss=1.379515 Batch=839, step=16440, lr=0.131750, batch loss=0.092051, epoch loss=1.471566 Batch=899, step=16500, lr=0.131500, batch loss=0.079291, epoch loss=1.550857 Batch=959, step=16560, lr=0.131250, batch loss=0.031000, epoch loss=1.581857 Batch=1019, step=16620, lr=0.131000, batch loss=0.059569, epoch loss=1.641426 Batch=1079, step=16680, lr=0.130750, batch loss=0.059924, epoch loss=1.701350 Batch=1139, step=16740, lr=0.130500, batch loss=0.101704, epoch loss=1.803054 Batch=1199, step=16800, lr=0.130250, batch loss=0.048874, epoch loss=1.851928 Epoch=13, step=16800, lr=0.130250, epoch loss=1.851928 Batch=59, step=16860, lr=0.130000, batch loss=0.035247, epoch loss=0.035247 Batch=119, step=16920, lr=0.129750, batch loss=0.034510, epoch loss=0.069757 Batch=179, step=16980, lr=0.129500, batch loss=0.043677, epoch loss=0.113434 Batch=239, step=17040, lr=0.129250, batch loss=0.058545, epoch loss=0.171979 Batch=299, step=17100, lr=0.129000, batch loss=0.018027, epoch loss=0.190006 Batch=359, step=17160, lr=0.128750, batch loss=0.041813, epoch loss=0.231819 Batch=419, step=17220, lr=0.128500, batch loss=0.044688, epoch loss=0.276508 Batch=479, step=17280, lr=0.128250, batch loss=0.024735, epoch loss=0.301242 Batch=539, step=17340, lr=0.128000, batch loss=0.047879, epoch loss=0.349121 Batch=599, step=17400, lr=0.127750, batch loss=0.035430, epoch loss=0.384552 Batch=659, step=17460, lr=0.127500, batch loss=0.047299, epoch loss=0.431850 Batch=719, step=17520, lr=0.127250, batch loss=0.038555, epoch loss=0.470405 Batch=779, step=17580, lr=0.127000, batch loss=0.039167, epoch loss=0.509573 Batch=839, step=17640, lr=0.126750, batch loss=0.059692, epoch loss=0.569265 Batch=899, step=17700, lr=0.126500, batch loss=0.065444, epoch loss=0.634709 Batch=959, step=17760, lr=0.126250, batch loss=0.031659, epoch loss=0.666368 Batch=1019, step=17820, lr=0.126000, batch loss=0.086868, epoch loss=0.753236 Batch=1079, step=17880, lr=0.125750, batch loss=0.016078, epoch loss=0.769314 Batch=1139, step=17940, lr=0.125500, batch loss=0.038342, epoch loss=0.807656 Batch=1199, step=18000, lr=0.125250, batch loss=0.014608, epoch loss=0.822264 Epoch=14, step=18000, lr=0.125250, epoch loss=0.822264 Batch=59, step=18060, lr=0.125000, batch loss=0.012516, epoch loss=0.012516 Batch=119, step=18120, lr=0.124750, batch loss=0.028130, epoch loss=0.040646 Batch=179, step=18180, lr=0.124500, batch loss=0.076011, epoch loss=0.116657 Batch=239, step=18240, lr=0.124250, batch loss=0.036253, epoch loss=0.152910 Batch=299, step=18300, lr=0.124000, batch loss=0.016994, epoch loss=0.169904 Batch=359, step=18360, lr=0.123750, batch loss=0.044230, epoch loss=0.214133 Batch=419, step=18420, lr=0.123500, batch loss=0.029473, epoch loss=0.243607 Batch=479, step=18480, lr=0.123250, batch loss=0.013772, epoch loss=0.257378 Batch=539, step=18540, lr=0.123000, batch loss=0.021124, epoch loss=0.278502 Batch=599, step=18600, lr=0.122750, batch loss=0.027564, epoch loss=0.306066 Batch=659, step=18660, lr=0.122500, batch loss=0.028164, epoch loss=0.334230 Batch=719, step=18720, lr=0.122250, batch loss=0.046412, epoch loss=0.380642 Batch=779, step=18780, lr=0.122000, batch loss=0.101895, epoch loss=0.482536 Batch=839, step=18840, lr=0.121750, batch loss=0.059379, epoch loss=0.541916 Batch=899, step=18900, lr=0.121500, batch loss=0.069800, epoch loss=0.611716 Batch=959, step=18960, lr=0.121250, batch loss=0.014063, epoch loss=0.625778 Batch=1019, step=19020, lr=0.121000, batch loss=0.017002, epoch loss=0.642781 Batch=1079, step=19080, lr=0.120750, batch loss=0.007783, epoch loss=0.650564 Batch=1139, step=19140, lr=0.120500, batch loss=0.024170, epoch loss=0.674734 Batch=1199, step=19200, lr=0.120250, batch loss=0.009566, epoch loss=0.684300 Epoch=15, step=19200, lr=0.120250, epoch loss=0.684300 Batch=59, step=19260, lr=0.120000, batch loss=0.004501, epoch loss=0.004501 Batch=119, step=19320, lr=0.119750, batch loss=0.020670, epoch loss=0.025171 Batch=179, step=19380, lr=0.119500, batch loss=0.056860, epoch loss=0.082031 Batch=239, step=19440, lr=0.119250, batch loss=0.024980, epoch loss=0.107010 Batch=299, step=19500, lr=0.119000, batch loss=0.014976, epoch loss=0.121987 Batch=359, step=19560, lr=0.118750, batch loss=0.035466, epoch loss=0.157453 Batch=419, step=19620, lr=0.118500, batch loss=0.022245, epoch loss=0.179697 Batch=479, step=19680, lr=0.118250, batch loss=0.008753, epoch loss=0.188450 Batch=539, step=19740, lr=0.118000, batch loss=0.018159, epoch loss=0.206610 Batch=599, step=19800, lr=0.117750, batch loss=0.022661, epoch loss=0.229271 Batch=659, step=19860, lr=0.117500, batch loss=0.018312, epoch loss=0.247583 Batch=719, step=19920, lr=0.117250, batch loss=0.040406, epoch loss=0.287989 Batch=779, step=19980, lr=0.117000, batch loss=0.077335, epoch loss=0.365324 Batch=839, step=20040, lr=0.116750, batch loss=0.030693, epoch loss=0.396017 Batch=899, step=20100, lr=0.116500, batch loss=0.034709, epoch loss=0.430726 Batch=959, step=20160, lr=0.116250, batch loss=0.011588, epoch loss=0.442314 Batch=1019, step=20220, lr=0.116000, batch loss=0.013476, epoch loss=0.455790 Batch=1079, step=20280, lr=0.115750, batch loss=0.003238, epoch loss=0.459028 Batch=1139, step=20340, lr=0.115500, batch loss=0.014972, epoch loss=0.473999 Batch=1199, step=20400, lr=0.115250, batch loss=0.005651, epoch loss=0.479651 Epoch=16, step=20400, lr=0.115250, epoch loss=0.479651 Batch=59, step=20460, lr=0.115000, batch loss=0.002910, epoch loss=0.002910 Batch=119, step=20520, lr=0.114750, batch loss=0.010389, epoch loss=0.013299 Batch=179, step=20580, lr=0.114500, batch loss=0.026470, epoch loss=0.039769 Batch=239, step=20640, lr=0.114250, batch loss=0.014642, epoch loss=0.054411 Batch=299, step=20700, lr=0.114000, batch loss=0.002859, epoch loss=0.057270 Batch=359, step=20760, lr=0.113750, batch loss=0.015208, epoch loss=0.072478 Batch=419, step=20820, lr=0.113500, batch loss=0.014932, epoch loss=0.087410 Batch=479, step=20880, lr=0.113250, batch loss=0.005018, epoch loss=0.092428 Batch=539, step=20940, lr=0.113000, batch loss=0.015992, epoch loss=0.108420 Batch=599, step=21000, lr=0.112750, batch loss=0.018992, epoch loss=0.127412 Batch=659, step=21060, lr=0.112500, batch loss=0.015174, epoch loss=0.142586 Batch=719, step=21120, lr=0.112250, batch loss=0.040879, epoch loss=0.183465 Batch=779, step=21180, lr=0.112000, batch loss=0.071797, epoch loss=0.255262 Batch=839, step=21240, lr=0.111750, batch loss=0.025888, epoch loss=0.281149 Batch=899, step=21300, lr=0.111500, batch loss=0.034764, epoch loss=0.315914 Batch=959, step=21360, lr=0.111250, batch loss=0.010256, epoch loss=0.326169 Batch=1019, step=21420, lr=0.111000, batch loss=0.011309, epoch loss=0.337478 Batch=1079, step=21480, lr=0.110750, batch loss=0.000747, epoch loss=0.338225 Batch=1139, step=21540, lr=0.110500, batch loss=0.013017, epoch loss=0.351243 Batch=1199, step=21600, lr=0.110250, batch loss=0.005243, epoch loss=0.356486 Epoch=17, step=21600, lr=0.110250, epoch loss=0.356486 Batch=59, step=21660, lr=0.110000, batch loss=0.002271, epoch loss=0.002271 Batch=119, step=21720, lr=0.109750, batch loss=0.006377, epoch loss=0.008648 Batch=179, step=21780, lr=0.109500, batch loss=0.012974, epoch loss=0.021622 Batch=239, step=21840, lr=0.109250, batch loss=0.009894, epoch loss=0.031516 Batch=299, step=21900, lr=0.109000, batch loss=0.015340, epoch loss=0.046856 Batch=359, step=21960, lr=0.108750, batch loss=0.017146, epoch loss=0.064002 Batch=419, step=22020, lr=0.108500, batch loss=0.012583, epoch loss=0.076585 Batch=479, step=22080, lr=0.108250, batch loss=0.002290, epoch loss=0.078876 Batch=539, step=22140, lr=0.108000, batch loss=0.016548, epoch loss=0.095423 Batch=599, step=22200, lr=0.107750, batch loss=0.015975, epoch loss=0.111398 Batch=659, step=22260, lr=0.107500, batch loss=0.014041, epoch loss=0.125439 Batch=719, step=22320, lr=0.107250, batch loss=0.020867, epoch loss=0.146306 Batch=779, step=22380, lr=0.107000, batch loss=0.033067, epoch loss=0.179372 Batch=839, step=22440, lr=0.106750, batch loss=0.027555, epoch loss=0.206927 Batch=899, step=22500, lr=0.106500, batch loss=0.025737, epoch loss=0.232664 Batch=959, step=22560, lr=0.106250, batch loss=0.008631, epoch loss=0.241295 Batch=1019, step=22620, lr=0.106000, batch loss=0.008717, epoch loss=0.250012 Batch=1079, step=22680, lr=0.105750, batch loss=0.000621, epoch loss=0.250633 Batch=1139, step=22740, lr=0.105500, batch loss=0.010587, epoch loss=0.261220 Batch=1199, step=22800, lr=0.105250, batch loss=0.004708, epoch loss=0.265928 Epoch=18, step=22800, lr=0.105250, epoch loss=0.265928 Batch=59, step=22860, lr=0.105000, batch loss=0.001655, epoch loss=0.001655 Batch=119, step=22920, lr=0.104750, batch loss=0.005394, epoch loss=0.007050 Batch=179, step=22980, lr=0.104500, batch loss=0.011291, epoch loss=0.018340 Batch=239, step=23040, lr=0.104250, batch loss=0.008966, epoch loss=0.027306 Batch=299, step=23100, lr=0.104000, batch loss=0.009335, epoch loss=0.036641 Batch=359, step=23160, lr=0.103750, batch loss=0.010985, epoch loss=0.047627 Batch=419, step=23220, lr=0.103500, batch loss=0.010689, epoch loss=0.058316 Batch=479, step=23280, lr=0.103250, batch loss=0.002728, epoch loss=0.061044 Batch=539, step=23340, lr=0.103000, batch loss=0.016647, epoch loss=0.077690 Batch=599, step=23400, lr=0.102750, batch loss=0.014073, epoch loss=0.091763 Batch=659, step=23460, lr=0.102500, batch loss=0.010632, epoch loss=0.102395 Batch=719, step=23520, lr=0.102250, batch loss=0.015326, epoch loss=0.117721 Batch=779, step=23580, lr=0.102000, batch loss=0.022926, epoch loss=0.140647 Batch=839, step=23640, lr=0.101750, batch loss=0.025080, epoch loss=0.165727 Batch=899, step=23700, lr=0.101500, batch loss=0.023206, epoch loss=0.188933 Batch=959, step=23760, lr=0.101250, batch loss=0.009093, epoch loss=0.198026 Batch=1019, step=23820, lr=0.101000, batch loss=0.008275, epoch loss=0.206301 Batch=1079, step=23880, lr=0.100750, batch loss=0.000666, epoch loss=0.206967 Batch=1139, step=23940, lr=0.100500, batch loss=0.009476, epoch loss=0.216443 Batch=1199, step=24000, lr=0.100250, batch loss=0.004491, epoch loss=0.220935 Epoch=19, step=24000, lr=0.100250, epoch loss=0.220935 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#*********************************......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##**********...........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######***********.........%.........**************##*#####***********************.......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%..............********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######******.................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................******...................%.%%.%%......│ │**************.......................%..%%%%%%%.................***...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-05-22 12:20.32: Job failed: Failed: Build failed