2025-05-22 20:00.59: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (39741884b740497ac10065d5e464e6c70f9151f4) (linux-ppc64:debian-12-5.3_ppc64_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f 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:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f # debian-12-5.3_ppc64_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:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f-debian-12-5.3_ppc64_opam-2.3-63d0fa7caba437c680f3f62d33f451da" 2025-05-22 20:00.59: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f) (comment debian-12-5.3_ppc64_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 20:26.13: Got resource from pool OCluster Building on talos 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:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f) 2025-05-22 20:26.14 ---> using "c4635525160c9f185a969ee812d6101e71fefa1ed329a5898c9422fb30c6512a" from cache /: (comment debian-12-5.3_ppc64_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 20:26.14 ---> using "4e9719c80ce561fffd0cc76802598cfcd57ca2847222a8c998d4a21a3b71d577" 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. Continue? [y/n] y 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. Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-22 20:26.14 ---> using "c578370adbc5087aa27747e9f0370d2ae139ce1ed965c7b6c59e043adc113803" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 6.8.0-60-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-22 20:26.14 ---> using "62f9b695304e1372bbeceabf06a5730df030c63db289471a97379b2bfe6dd883" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-22 20:26.14 ---> using "67acfddc9eaa74ca1a3b210e7cecfe4216f9afd47f84e1282ed78076dabb3426" 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 20:26.55 ---> saved as "757e71d3a33ef23f337ac2700f768cedd227a77140c772011c1cf431df1ba204" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-22 20:26.59 ---> saved as "f5abacbd016514b2b674250b5d18eb6b35d16bb34ead7f6c2803d9517bbc6c76" /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 20:27.04 ---> saved as "449aa80509cc04d62f20ce5311ec5fc7e1ab0085dbd5f2e506c449f997861bcc" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-22 20:27.06 ---> saved as "ff5fc94349e056fcbd3c10eb22d03ccde9029fa198f4c1d17a0b06fe34de6663" /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 ppc64el Packages [8629 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main ppc64el Packages [247 kB] - Fetched 9131 kB in 15s (620 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:ppc64el. - (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 ... 18720 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_ppc64el.deb ... - Unpacking libffi-dev:ppc64el (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:ppc64el. - Preparing to unpack .../libpkgconf3_1.8.1-1_ppc64el.deb ... - Unpacking libpkgconf3:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:ppc64el. - Preparing to unpack .../pkgconf_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkg-config:ppc64el. - Preparing to unpack .../pkg-config_1.8.1-1_ppc64el.deb ... - Unpacking pkg-config:ppc64el (1.8.1-1) ... - Setting up libffi-dev:ppc64el (3.4.4-1) ... - Setting up libpkgconf3:ppc64el (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:ppc64el (1.8.1-1) ... - Setting up pkg-config:ppc64el (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-05-22 20:27.47 ---> saved as "7cc551dd749d13a89b2a28f2006bfeee17c6b2fd64f7056a0a9fdc4fccaa3dda" /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 astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved base.v0.17.2 (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 multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (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 ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (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 re.1.12.0 (cached) -> 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 seq.base (cached) -> installed seq.base -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed uutf.1.0.4 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.0 -> installed bigarray-compat.1.1.0 -> installed backoff.0.1.1 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed result.1.5 -> installed csexp.1.5.2 -> installed camlp-streams.5.0.1 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> 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 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 dune-configurator.3.19.0 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed printbox-html.0.12 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.2 -> installed ppxlib.0.35.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed variantslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_cold.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-22 20:36.44 ---> saved as "36d59f704cd56c4153796e864cd8030d5cc0bd536f999de24756d0f252fafe7f" /src: (copy (src .) (dst /src)) 2025-05-22 20:36.47 ---> saved as "8df5483b2257d7198b14e0b6ad4c0bde8a9fed83ea97026fd585d1304ba1f88f" /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 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/7fa17636bbde0941d0fba2f25a064be4/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/7fa17636bbde0941d0fba2f25a064be4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/01af7a4d90e92763fdd093109fe62251/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/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/7fa17636bbde0941d0fba2f25a064be4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/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/7fa17636bbde0941d0fba2f25a064be4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/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/7fa17636bbde0941d0fba2f25a064be4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/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/7fa17636bbde0941d0fba2f25a064be4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/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/7fa17636bbde0941d0fba2f25a064be4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/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/7fa17636bbde0941d0fba2f25a064be4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/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/7fa17636bbde0941d0fba2f25a064be4/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/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/7fa17636bbde0941d0fba2f25a064be4/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/7fa17636bbde0941d0fba2f25a064be4/default/test/micrograd_demo.ml.corrected diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/default/test/micrograd_demo.ml.corrected index 77e46c6..ab81526 100644 --- a/_build/default/test/micrograd_demo.ml +++ b/_build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/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/7fa17636bbde0941d0fba2f25a064be4/default/test/hello_world_op.ml.corrected diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/default/test/hello_world_op.ml.corrected index ba9d7ef..6bfa309 100644 --- a/_build/default/test/hello_world_op.ml +++ b/_build/.sandbox/7fa17636bbde0941d0fba2f25a064be4/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 128)))) @!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=8.539633, epoch loss=32.149086 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775381 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625038 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072215 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401511 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020080 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842140 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532384 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596262 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079602 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490901 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=43.790406 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035542 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502048 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750828 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068268 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=0.467380 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208235, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281745, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238370, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840093 Batch=1139, step=4740, lr=0.180500, batch loss=0.249213, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462437 Batch=1079, step=5880, lr=0.175750, batch loss=0.207827, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907386 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312108, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211038, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180865, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417300 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363688 Batch=419, step=7620, lr=0.168500, batch loss=0.256809, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856494 Batch=539, step=7740, lr=0.168000, batch loss=0.187896, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223923, epoch loss=2.268313 Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883517 Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460 Batch=839, step=8040, lr=0.166750, batch loss=0.292424, epoch loss=3.505884 Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767659 Batch=959, step=8160, lr=0.166250, batch loss=0.193294, epoch loss=3.960954 Batch=1019, step=8220, lr=0.166000, batch loss=0.314034, epoch loss=4.274987 Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447086 Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656828 Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103 Batch=59, step=8460, lr=0.165000, batch loss=0.229724, epoch loss=0.229724 Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742 Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592558 Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870761 Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755 Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311387 Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988 Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785579 Batch=539, step=8940, lr=0.163000, batch loss=0.178133, epoch loss=1.963712 Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181100 Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475914 Batch=719, step=9120, lr=0.162250, batch loss=0.296432, epoch loss=2.772347 Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089074 Batch=839, step=9240, lr=0.161750, batch loss=0.287242, epoch loss=3.376317 Batch=899, step=9300, lr=0.161500, batch loss=0.251061, epoch loss=3.627377 Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817909 Batch=1019, step=9420, lr=0.161000, batch loss=0.311729, epoch loss=4.129638 Batch=1079, step=9480, lr=0.160750, batch loss=0.191594, epoch loss=4.321232 Batch=1139, step=9540, lr=0.160500, batch loss=0.215773, epoch loss=4.537005 Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702625 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702625 Batch=59, step=9660, lr=0.160000, batch loss=0.197217, epoch loss=0.197217 Batch=119, step=9720, lr=0.159750, batch loss=0.165467, epoch loss=0.362684 Batch=179, step=9780, lr=0.159500, batch loss=0.179286, epoch loss=0.541970 Batch=239, step=9840, lr=0.159250, batch loss=0.263837, epoch loss=0.805807 Batch=299, step=9900, lr=0.159000, batch loss=0.182187, epoch loss=0.987994 Batch=359, step=9960, lr=0.158750, batch loss=0.240841, epoch loss=1.228836 Batch=419, step=10020, lr=0.158500, batch loss=0.232979, epoch loss=1.461815 Batch=479, step=10080, lr=0.158250, batch loss=0.213193, epoch loss=1.675008 Batch=539, step=10140, lr=0.158000, batch loss=0.170694, epoch loss=1.845702 Batch=599, step=10200, lr=0.157750, batch loss=0.200246, epoch loss=2.045949 Batch=659, step=10260, lr=0.157500, batch loss=0.283032, epoch loss=2.328981 Batch=719, step=10320, lr=0.157250, batch loss=0.288753, epoch loss=2.617734 Batch=779, step=10380, lr=0.157000, batch loss=0.296880, epoch loss=2.914614 Batch=839, step=10440, lr=0.156750, batch loss=0.267657, epoch loss=3.182271 Batch=899, step=10500, lr=0.156500, batch loss=0.242699, epoch loss=3.424970 Batch=959, step=10560, lr=0.156250, batch loss=0.198667, epoch loss=3.623637 Batch=1019, step=10620, lr=0.156000, batch loss=0.295120, epoch loss=3.918757 Batch=1079, step=10680, lr=0.155750, batch loss=0.178661, epoch loss=4.097419 Batch=1139, step=10740, lr=0.155500, batch loss=0.205426, epoch loss=4.302845 Batch=1199, step=10800, lr=0.155250, batch loss=0.156137, epoch loss=4.458982 Epoch=8, step=10800, lr=0.155250, epoch loss=4.458982 Batch=59, step=10860, lr=0.155000, batch loss=0.177429, epoch loss=0.177429 Batch=119, step=10920, lr=0.154750, batch loss=0.152366, epoch loss=0.329795 Batch=179, step=10980, lr=0.154500, batch loss=0.167114, epoch loss=0.496909 Batch=239, step=11040, lr=0.154250, batch loss=0.242621, epoch loss=0.739530 Batch=299, step=11100, lr=0.154000, batch loss=0.169984, epoch loss=0.909514 Batch=359, step=11160, lr=0.153750, batch loss=0.222139, epoch loss=1.131654 Batch=419, step=11220, lr=0.153500, batch loss=0.229251, epoch loss=1.360904 Batch=479, step=11280, lr=0.153250, batch loss=0.202870, epoch loss=1.563774 Batch=539, step=11340, lr=0.153000, batch loss=0.159119, epoch loss=1.722893 Batch=599, step=11400, lr=0.152750, batch loss=0.178498, epoch loss=1.901390 Batch=659, step=11460, lr=0.152500, batch loss=0.264724, epoch loss=2.166115 Batch=719, step=11520, lr=0.152250, batch loss=0.256958, epoch loss=2.423073 Batch=779, step=11580, lr=0.152000, batch loss=0.273281, epoch loss=2.696354 Batch=839, step=11640, lr=0.151750, batch loss=0.255782, epoch loss=2.952136 Batch=899, step=11700, lr=0.151500, batch loss=0.212943, epoch loss=3.165079 Batch=959, step=11760, lr=0.151250, batch loss=0.168194, epoch loss=3.333272 Batch=1019, step=11820, lr=0.151000, batch loss=0.266033, epoch loss=3.599305 Batch=1079, step=11880, lr=0.150750, batch loss=0.149775, epoch loss=3.749080 Batch=1139, step=11940, lr=0.150500, batch loss=0.185522, epoch loss=3.934602 Batch=1199, step=12000, lr=0.150250, batch loss=0.139483, epoch loss=4.074085 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074085 Batch=59, step=12060, lr=0.150000, batch loss=0.158027, epoch loss=0.158027 Batch=119, step=12120, lr=0.149750, batch loss=0.128834, epoch loss=0.286861 Batch=179, step=12180, lr=0.149500, batch loss=0.150389, epoch loss=0.437250 Batch=239, step=12240, lr=0.149250, batch loss=0.223283, epoch loss=0.660534 Batch=299, step=12300, lr=0.149000, batch loss=0.142596, epoch loss=0.803129 Batch=359, step=12360, lr=0.148750, batch loss=0.195473, epoch loss=0.998602 Batch=419, step=12420, lr=0.148500, batch loss=0.206190, epoch loss=1.204792 Batch=479, step=12480, lr=0.148250, batch loss=0.178780, epoch loss=1.383572 Batch=539, step=12540, lr=0.148000, batch loss=0.142577, epoch loss=1.526149 Batch=599, step=12600, lr=0.147750, batch loss=0.150449, epoch loss=1.676598 Batch=659, step=12660, lr=0.147500, batch loss=0.224850, epoch loss=1.901447 Batch=719, step=12720, lr=0.147250, batch loss=0.235380, epoch loss=2.136827 Batch=779, step=12780, lr=0.147000, batch loss=0.252611, epoch loss=2.389438 Batch=839, step=12840, lr=0.146750, batch loss=0.225003, epoch loss=2.614442 Batch=899, step=12900, lr=0.146500, batch loss=0.185276, epoch loss=2.799718 Batch=959, step=12960, lr=0.146250, batch loss=0.149055, epoch loss=2.948773 Batch=1019, step=13020, lr=0.146000, batch loss=0.267920, epoch loss=3.216692 Batch=1079, step=13080, lr=0.145750, batch loss=0.115423, epoch loss=3.332116 Batch=1139, step=13140, lr=0.145500, batch loss=0.155344, epoch loss=3.487460 Batch=1199, step=13200, lr=0.145250, batch loss=0.118495, epoch loss=3.605955 Epoch=10, step=13200, lr=0.145250, epoch loss=3.605955 Batch=59, step=13260, lr=0.144750, batch loss=0.143435, epoch loss=0.143435 Batch=119, step=13320, lr=0.144750, batch loss=0.119567, epoch loss=0.263001 Batch=179, step=13380, lr=0.144500, batch loss=0.127171, epoch loss=0.390173 Batch=239, step=13440, lr=0.144250, batch loss=0.186885, epoch loss=0.577058 Batch=299, step=13500, lr=0.144000, batch loss=0.112597, epoch loss=0.689655 Batch=359, step=13560, lr=0.143750, batch loss=0.161741, epoch loss=0.851396 Batch=419, step=13620, lr=0.143500, batch loss=0.160577, epoch loss=1.011973 Batch=479, step=13680, lr=0.143250, batch loss=0.147581, epoch loss=1.159554 Batch=539, step=13740, lr=0.143000, batch loss=0.118003, epoch loss=1.277557 Batch=599, step=13800, lr=0.142750, batch loss=0.120082, epoch loss=1.397640 Batch=659, step=13860, lr=0.142500, batch loss=0.175807, epoch loss=1.573446 Batch=719, step=13920, lr=0.142250, batch loss=0.172413, epoch loss=1.745859 Batch=779, step=13980, lr=0.142000, batch loss=0.188078, epoch loss=1.933937 Batch=839, step=14040, lr=0.141750, batch loss=0.194265, epoch loss=2.128202 Batch=899, step=14100, lr=0.141500, batch loss=0.208121, epoch loss=2.336323 Batch=959, step=14160, lr=0.141250, batch loss=0.110432, epoch loss=2.446754 Batch=1019, step=14220, lr=0.141000, batch loss=0.197924, epoch loss=2.644678 Batch=1079, step=14280, lr=0.140750, batch loss=0.080261, epoch loss=2.724940 Batch=1139, step=14340, lr=0.140500, batch loss=0.127442, epoch loss=2.852382 Batch=1199, step=14400, lr=0.140250, batch loss=0.087060, epoch loss=2.939442 Epoch=11, step=14400, lr=0.140250, epoch loss=2.939442 Batch=59, step=14460, lr=0.140000, batch loss=0.102178, epoch loss=0.102178 Batch=119, step=14520, lr=0.139750, batch loss=0.100479, epoch loss=0.202657 Batch=179, step=14580, lr=0.139500, batch loss=0.098394, epoch loss=0.301051 Batch=239, step=14640, lr=0.139250, batch loss=0.142605, epoch loss=0.443656 Batch=299, step=14700, lr=0.139000, batch loss=0.087908, epoch loss=0.531564 Batch=359, step=14760, lr=0.138750, batch loss=0.147284, epoch loss=0.678848 Batch=419, step=14820, lr=0.138500, batch loss=0.209541, epoch loss=0.888389 Batch=479, step=14880, lr=0.138250, batch loss=0.090660, epoch loss=0.979049 Batch=539, step=14940, lr=0.138000, batch loss=0.073459, epoch loss=1.052508 Batch=599, step=15000, lr=0.137750, batch loss=0.099887, epoch loss=1.152395 Batch=659, step=15060, lr=0.137500, batch loss=0.129193, epoch loss=1.281588 Batch=719, step=15120, lr=0.137250, batch loss=0.129730, epoch loss=1.411318 Batch=779, step=15180, lr=0.137000, batch loss=0.152520, epoch loss=1.563838 Batch=839, step=15240, lr=0.136750, batch loss=0.146041, epoch loss=1.709879 Batch=899, step=15300, lr=0.136500, batch loss=0.141035, epoch loss=1.850914 Batch=959, step=15360, lr=0.136250, batch loss=0.099225, epoch loss=1.950139 Batch=1019, step=15420, lr=0.136000, batch loss=0.194614, epoch loss=2.144753 Batch=1079, step=15480, lr=0.135750, batch loss=0.035969, epoch loss=2.180723 Batch=1139, step=15540, lr=0.135500, batch loss=0.089063, epoch loss=2.269785 Batch=1199, step=15600, lr=0.135250, batch loss=0.055155, epoch loss=2.324941 Epoch=12, step=15600, lr=0.135250, epoch loss=2.324941 Batch=59, step=15660, lr=0.135000, batch loss=0.085874, epoch loss=0.085874 Batch=119, step=15720, lr=0.134750, batch loss=0.149598, epoch loss=0.235471 Batch=179, step=15780, lr=0.134500, batch loss=0.100513, epoch loss=0.335984 Batch=239, step=15840, lr=0.134250, batch loss=0.097870, epoch loss=0.433855 Batch=299, step=15900, lr=0.134000, batch loss=0.043053, epoch loss=0.476908 Batch=359, step=15960, lr=0.133750, batch loss=0.080549, epoch loss=0.557457 Batch=419, step=16020, lr=0.133500, batch loss=0.079820, epoch loss=0.637277 Batch=479, step=16080, lr=0.133250, batch loss=0.067447, epoch loss=0.704724 Batch=539, step=16140, lr=0.133000, batch loss=0.054120, epoch loss=0.758843 Batch=599, step=16200, lr=0.132750, batch loss=0.103126, epoch loss=0.861969 Batch=659, step=16260, lr=0.132500, batch loss=0.076818, epoch loss=0.938787 Batch=719, step=16320, lr=0.132250, batch loss=0.085113, epoch loss=1.023900 Batch=779, step=16380, lr=0.132000, batch loss=0.098503, epoch loss=1.122403 Batch=839, step=16440, lr=0.131750, batch loss=0.118744, epoch loss=1.241147 Batch=899, step=16500, lr=0.131500, batch loss=0.162177, epoch loss=1.403324 Batch=959, step=16560, lr=0.131250, batch loss=0.042356, epoch loss=1.445679 Batch=1019, step=16620, lr=0.131000, batch loss=0.103755, epoch loss=1.549435 Batch=1079, step=16680, lr=0.130750, batch loss=0.027526, epoch loss=1.576961 Batch=1139, step=16740, lr=0.130500, batch loss=0.057397, epoch loss=1.634358 Batch=1199, step=16800, lr=0.130250, batch loss=0.030036, epoch loss=1.664394 Epoch=13, step=16800, lr=0.130250, epoch loss=1.664394 Batch=59, step=16860, lr=0.130000, batch loss=0.038006, epoch loss=0.038006 Batch=119, step=16920, lr=0.129750, batch loss=0.053250, epoch loss=0.091256 Batch=179, step=16980, lr=0.129500, batch loss=0.049970, epoch loss=0.141226 Batch=239, step=17040, lr=0.129250, batch loss=0.067346, epoch loss=0.208572 Batch=299, step=17100, lr=0.129000, batch loss=0.031369, epoch loss=0.239940 Batch=359, step=17160, lr=0.128750, batch loss=0.048231, epoch loss=0.288172 Batch=419, step=17220, lr=0.128500, batch loss=0.074961, epoch loss=0.363132 Batch=479, step=17280, lr=0.128250, batch loss=0.021425, epoch loss=0.384557 Batch=539, step=17340, lr=0.128000, batch loss=0.029922, epoch loss=0.414479 Batch=599, step=17400, lr=0.127750, batch loss=0.044427, epoch loss=0.458906 Batch=659, step=17460, lr=0.127500, batch loss=0.045185, epoch loss=0.504092 Batch=719, step=17520, lr=0.127250, batch loss=0.053870, epoch loss=0.557962 Batch=779, step=17580, lr=0.127000, batch loss=0.069047, epoch loss=0.627009 Batch=839, step=17640, lr=0.126750, batch loss=0.112158, epoch loss=0.739166 Batch=899, step=17700, lr=0.126500, batch loss=0.056046, epoch loss=0.795212 Batch=959, step=17760, lr=0.126250, batch loss=0.018543, epoch loss=0.813756 Batch=1019, step=17820, lr=0.126000, batch loss=0.030045, epoch loss=0.843801 Batch=1079, step=17880, lr=0.125750, batch loss=0.015248, epoch loss=0.859049 Batch=1139, step=17940, lr=0.125500, batch loss=0.041260, epoch loss=0.900309 Batch=1199, step=18000, lr=0.125250, batch loss=0.016065, epoch loss=0.916374 Epoch=14, step=18000, lr=0.125250, epoch loss=0.916374 Batch=59, step=18060, lr=0.125000, batch loss=0.014005, epoch loss=0.014005 Batch=119, step=18120, lr=0.124750, batch loss=0.026886, epoch loss=0.040891 Batch=179, step=18180, lr=0.124500, batch loss=0.029013, epoch loss=0.069904 Batch=239, step=18240, lr=0.124250, batch loss=0.033107, epoch loss=0.103011 Batch=299, step=18300, lr=0.124000, batch loss=0.008495, epoch loss=0.111506 Batch=359, step=18360, lr=0.123750, batch loss=0.024119, epoch loss=0.135625 Batch=419, step=18420, lr=0.123500, batch loss=0.033159, epoch loss=0.168785 Batch=479, step=18480, lr=0.123250, batch loss=0.024802, epoch loss=0.193586 Batch=539, step=18540, lr=0.123000, batch loss=0.046831, epoch loss=0.240417 Batch=599, step=18600, lr=0.122750, batch loss=0.025302, epoch loss=0.265719 Batch=659, step=18660, lr=0.122500, batch loss=0.032766, epoch loss=0.298486 Batch=719, step=18720, lr=0.122250, batch loss=0.028389, epoch loss=0.326875 Batch=779, step=18780, lr=0.122000, batch loss=0.087925, epoch loss=0.414800 Batch=839, step=18840, lr=0.121750, batch loss=0.076116, epoch loss=0.490916 Batch=899, step=18900, lr=0.121500, batch loss=0.118680, epoch loss=0.609596 Batch=959, step=18960, lr=0.121250, batch loss=0.015876, epoch loss=0.625472 Batch=1019, step=19020, lr=0.121000, batch loss=0.024030, epoch loss=0.649502 Batch=1079, step=19080, lr=0.120750, batch loss=0.004267, epoch loss=0.653769 Batch=1139, step=19140, lr=0.120500, batch loss=0.019386, epoch loss=0.673155 Batch=1199, step=19200, lr=0.120250, batch loss=0.008976, epoch loss=0.682131 Epoch=15, step=19200, lr=0.120250, epoch loss=0.682131 Batch=59, step=19260, lr=0.120000, batch loss=0.004441, epoch loss=0.004441 Batch=119, step=19320, lr=0.119750, batch loss=0.011340, epoch loss=0.015781 Batch=179, step=19380, lr=0.119500, batch loss=0.019282, epoch loss=0.035063 Batch=239, step=19440, lr=0.119250, batch loss=0.022256, epoch loss=0.057318 Batch=299, step=19500, lr=0.119000, batch loss=0.009020, epoch loss=0.066338 Batch=359, step=19560, lr=0.118750, batch loss=0.016479, epoch loss=0.082817 Batch=419, step=19620, lr=0.118500, batch loss=0.018896, epoch loss=0.101713 Batch=479, step=19680, lr=0.118250, batch loss=0.010472, epoch loss=0.112185 Batch=539, step=19740, lr=0.118000, batch loss=0.019856, epoch loss=0.132040 Batch=599, step=19800, lr=0.117750, batch loss=0.018936, epoch loss=0.150976 Batch=659, step=19860, lr=0.117500, batch loss=0.018451, epoch loss=0.169427 Batch=719, step=19920, lr=0.117250, batch loss=0.017815, epoch loss=0.187242 Batch=779, step=19980, lr=0.117000, batch loss=0.032817, epoch loss=0.220059 Batch=839, step=20040, lr=0.116750, batch loss=0.030324, epoch loss=0.250383 Batch=899, step=20100, lr=0.116500, batch loss=0.027143, epoch loss=0.277525 Batch=959, step=20160, lr=0.116250, batch loss=0.011844, epoch loss=0.289369 Batch=1019, step=20220, lr=0.116000, batch loss=0.015851, epoch loss=0.305220 Batch=1079, step=20280, lr=0.115750, batch loss=0.003112, epoch loss=0.308333 Batch=1139, step=20340, lr=0.115500, batch loss=0.014781, epoch loss=0.323114 Batch=1199, step=20400, lr=0.115250, batch loss=0.006235, epoch loss=0.329349 Epoch=16, step=20400, lr=0.115250, epoch loss=0.329349 Batch=59, step=20460, lr=0.115000, batch loss=0.003118, epoch loss=0.003118 Batch=119, step=20520, lr=0.114750, batch loss=0.008175, epoch loss=0.011293 Batch=179, step=20580, lr=0.114500, batch loss=0.015402, epoch loss=0.026694 Batch=239, step=20640, lr=0.114250, batch loss=0.012821, epoch loss=0.039515 Batch=299, step=20700, lr=0.114000, batch loss=0.003627, epoch loss=0.043142 Batch=359, step=20760, lr=0.113750, batch loss=0.017042, epoch loss=0.060184 Batch=419, step=20820, lr=0.113500, batch loss=0.015160, epoch loss=0.075344 Batch=479, step=20880, lr=0.113250, batch loss=0.004151, epoch loss=0.079496 Batch=539, step=20940, lr=0.113000, batch loss=0.028542, epoch loss=0.108038 Batch=599, step=21000, lr=0.112750, batch loss=0.020834, epoch loss=0.128871 Batch=659, step=21060, lr=0.112500, batch loss=0.017741, epoch loss=0.146612 Batch=719, step=21120, lr=0.112250, batch loss=0.044501, epoch loss=0.191113 Batch=779, step=21180, lr=0.112000, batch loss=0.072953, epoch loss=0.264066 Batch=839, step=21240, lr=0.111750, batch loss=0.025782, epoch loss=0.289848 Batch=899, step=21300, lr=0.111500, batch loss=0.035952, epoch loss=0.325800 Batch=959, step=21360, lr=0.111250, batch loss=0.010426, epoch loss=0.336226 Batch=1019, step=21420, lr=0.111000, batch loss=0.012159, epoch loss=0.348385 Batch=1079, step=21480, lr=0.110750, batch loss=0.001371, epoch loss=0.349756 Batch=1139, step=21540, lr=0.110250, batch loss=0.012360, epoch loss=0.362116 Batch=1199, step=21600, lr=0.110250, batch loss=0.004532, epoch loss=0.366649 Epoch=17, step=21600, lr=0.110250, epoch loss=0.366649 Batch=59, step=21660, lr=0.110000, batch loss=0.001292, epoch loss=0.001292 Batch=119, step=21720, lr=0.109750, batch loss=0.008131, epoch loss=0.009423 Batch=179, step=21780, lr=0.109500, batch loss=0.014747, epoch loss=0.024171 Batch=239, step=21840, lr=0.109250, batch loss=0.015352, epoch loss=0.039523 Batch=299, step=21900, lr=0.109000, batch loss=0.003195, epoch loss=0.042718 Batch=359, step=21960, lr=0.108750, batch loss=0.010607, epoch loss=0.053325 Batch=419, step=22020, lr=0.108500, batch loss=0.011632, epoch loss=0.064957 Batch=479, step=22080, lr=0.108250, batch loss=0.003027, epoch loss=0.067984 Batch=539, step=22140, lr=0.108000, batch loss=0.017819, epoch loss=0.085803 Batch=599, step=22200, lr=0.107750, batch loss=0.015676, epoch loss=0.101480 Batch=659, step=22260, lr=0.107500, batch loss=0.015338, epoch loss=0.116818 Batch=719, step=22320, lr=0.107250, batch loss=0.025684, epoch loss=0.142502 Batch=779, step=22380, lr=0.107000, batch loss=0.035278, epoch loss=0.177781 Batch=839, step=22440, lr=0.106750, batch loss=0.024920, epoch loss=0.202701 Batch=899, step=22500, lr=0.106500, batch loss=0.028532, epoch loss=0.231233 Batch=959, step=22560, lr=0.106250, batch loss=0.008803, epoch loss=0.240036 Batch=1019, step=22620, lr=0.106000, batch loss=0.009505, epoch loss=0.249541 Batch=1079, step=22680, lr=0.105750, batch loss=0.000955, epoch loss=0.250496 Batch=1139, step=22740, lr=0.105500, batch loss=0.010002, epoch loss=0.260498 Batch=1199, step=22800, lr=0.105250, batch loss=0.004691, epoch loss=0.265189 Epoch=18, step=22800, lr=0.105250, epoch loss=0.265189 Batch=59, step=22860, lr=0.105000, batch loss=0.001598, epoch loss=0.001598 Batch=119, step=22920, lr=0.104750, batch loss=0.005264, epoch loss=0.006862 Batch=179, step=22980, lr=0.104500, batch loss=0.010568, epoch loss=0.017431 Batch=239, step=23040, lr=0.104250, batch loss=0.009063, epoch loss=0.026494 Batch=299, step=23100, lr=0.104000, batch loss=0.008344, epoch loss=0.034838 Batch=359, step=23160, lr=0.103750, batch loss=0.013065, epoch loss=0.047903 Batch=419, step=23220, lr=0.103500, batch loss=0.010517, epoch loss=0.058420 Batch=479, step=23280, lr=0.103250, batch loss=0.002598, epoch loss=0.061018 Batch=539, step=23340, lr=0.103000, batch loss=0.016792, epoch loss=0.077809 Batch=599, step=23400, lr=0.102750, batch loss=0.013603, epoch loss=0.091412 Batch=659, step=23460, lr=0.102500, batch loss=0.011345, epoch loss=0.102757 Batch=719, step=23520, lr=0.102250, batch loss=0.011650, epoch loss=0.114408 Batch=779, step=23580, lr=0.102000, batch loss=0.017610, epoch loss=0.132018 Batch=839, step=23640, lr=0.101750, batch loss=0.028553, epoch loss=0.160571 Batch=899, step=23700, lr=0.101500, batch loss=0.020523, epoch loss=0.181095 Batch=959, step=23760, lr=0.101250, batch loss=0.009483, epoch loss=0.190578 Batch=1019, step=23820, lr=0.101000, batch loss=0.007456, epoch loss=0.198035 Batch=1079, step=23880, lr=0.100750, batch loss=0.000843, epoch loss=0.198878 Batch=1139, step=23940, lr=0.100500, batch loss=0.008791, epoch loss=0.207669 Batch=1199, step=24000, lr=0.100250, batch loss=0.004338, epoch loss=0.212007 Epoch=19, step=24000, lr=0.100250, epoch loss=0.212007 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 20:37.56: Job failed: Failed: Build failed