2025-05-22 20:00.59: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (39741884b740497ac10065d5e464e6c70f9151f4) (linux-x86_64:ubuntu-24.04-5.3_opam-2.3) Base: ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0 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:ubuntu-24.04-ocaml-5.3@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0 # ubuntu-24.04-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-22 20:00.59: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0-ubuntu-24.04-5.3_opam-2.3-63d0fa7caba437c680f3f62d33f451da" 2025-05-22 20:00.59: Using OBuilder spec: ((from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0) (comment ubuntu-24.04-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-22 20:00.59: Waiting for resource in pool OCluster 2025-05-22 20:00.59: Waiting for worker… 2025-05-22 20:01.03: Got resource from pool OCluster Building on laodoke.caelum.ci.dev All commits already cached HEAD is now at 39741884 Untested: convert remaining uses of Format except where printing Sexp values (from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0) 2025-05-22 20:12.22 ---> using "10c823be6d6df8b8b953a1da7016d5c0a852e2e87d76746b4c929b5ce9cf0ea7" from cache /: (comment ubuntu-24.04-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-05-22 20:12.22 ---> using "7e4e95fbdd960f07cc45e7caadc95ccc19437cf1fa3ac4cf9ffe38fb71ba29a6" 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 255 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=255 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-22 20:12.22 ---> using "165aa512348c81560d0d9826f796b98dc48f4c9a7c0b4e56e3102119a9192813" 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 20:12.22 ---> using "df15c08d3bd246393f4369064e82160ecd55ec0511fc0edfa706fbdbbf9fc3b6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-22 20:12.22 ---> using "b48a5f00b86917e79b6c3f17793c62a1c228f36dd2ae72f3747baabaf72144bf" 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 20:13.04 ---> saved as "533b9167ed3fb393306be973817b8647cc52675a4f55cc554b66ee6dbb7542a9" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-22 20:13.05 ---> saved as "32c6851dab32be5bb65f855cfdc4ae3ff8ffa379992835b8a952c0ff2de22164" /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 20:13.11 ---> saved as "afe9d4fdecc0350e428cb8b1c5cceb1f5db864601aa544b39edf60f8c5f18e35" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-22 20:13.11 ---> saved as "e889d681eded8642b0519e5daa652520adba6260b784b29d56451b7b8ade4429" /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://security.ubuntu.com/ubuntu noble-security InRelease [126 kB] - Get:2 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1086 kB] - Get:3 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [1434 kB] - Get:4 http://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [1081 kB] - Get:5 http://security.ubuntu.com/ubuntu noble-security/multiverse amd64 Packages [22.1 kB] - Hit:6 http://archive.ubuntu.com/ubuntu noble InRelease - Get:7 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB] - Get:8 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB] - Get:9 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1382 kB] - Get:10 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1399 kB] - Get:11 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [1478 kB] - Get:12 http://archive.ubuntu.com/ubuntu noble-updates/multiverse amd64 Packages [26.7 kB] - Get:13 http://archive.ubuntu.com/ubuntu noble-backports/universe amd64 Packages [31.8 kB] - Get:14 http://archive.ubuntu.com/ubuntu noble-backports/main amd64 Packages [48.0 kB] - Fetched 8367 kB in 1s (10.7 MB/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 libpkgconf3: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 ... 16365 files and directories currently installed.) - Preparing to unpack .../libpkgconf3_1.8.1-2build1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-2build1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-2build1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-2build1) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../libffi-dev_3.4.6-1build1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libpkgconf3:amd64 (1.8.1-2build1) ... - Setting up pkgconf-bin (1.8.1-2build1) ... - Setting up pkgconf:amd64 (1.8.1-2build1) ... - Setting up pkg-config:amd64 (1.8.1-2build1) ... - Processing triggers for libc-bin (2.39-0ubuntu8.4) ... 2025-05-22 20:13.47 ---> saved as "0f3a74b2e6fea44d7a6f53bee0286ee6dc1b4b761f1dded97ccee4dd149514b2" /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.19.0 - install dune-configurator 3.19.0 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved 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_compare.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> 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 result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-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 result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed ocaml-compiler-libs.v0.17.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.19.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed ctypes.0.23.0 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> 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 ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-22 20:16.54 ---> saved as "46755afc4c92b6140007a045587686a4c0d1f6b11d5d0cd761382351cee9db50" /src: (copy (src .) (dst /src)) 2025-05-22 20:16.54 ---> saved as "4eb2eb87461e823cad22b73eb6eac4006e6c64c1a82246b0c82286ed6c4b294d" /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 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 Fatal error: exception Sys_error("log_files/micrograd_demo_logging.log: No such file or directory") Raised by primitive operation at Stdlib.open_out_gen in file "stdlib.ml", line 331, characters 29-55 Called from Stdlib.open_out in file "stdlib.ml" (inlined), line 336, characters 2-74 Called from Minidebug_runtime.shared_config.Result.find_ch in file "minidebug_runtime.ml", line 98, characters 17-34 Called from Minidebug_runtime.shared_config.Result.current_ch in file "minidebug_runtime.ml", line 125, characters 34-44 Called from CamlinternalLazy.do_force_val_block in file "camlinternalLazy.ml", line 63, characters 15-25 Called from Stdlib__Lazy.force_val in file "lazy.ml" (inlined), line 56, characters 18-61 Called from Minidebug_runtime.shared_config.Result.(!!) in file "minidebug_runtime.ml" (inlined), line 126, characters 21-40 Called from Minidebug_runtime.shared_config.Result.debug_ch in file "minidebug_runtime.ml", line 142, characters 6-18 Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1570, characters 15-26 Called from Minidebug_runtime.PrintBox.log_value_sexp in file "minidebug_runtime.ml", lines 1985-1986, characters 9-73 Called from Utils.set_log_level in file "arrayjit/lib/utils.ml", line 418, characters 2-42 Re-raised at Utils.set_log_level in file "arrayjit/lib/utils.ml", lines 415-418, characters 29-42 Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 16, characters 2-23 (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/fcf396dbab86ff3fb93a9f41553dc58b/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/fcf396dbab86ff3fb93a9f41553dc58b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/da4f699ee42e1c93691db104da29b8ef/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/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/fcf396dbab86ff3fb93a9f41553dc58b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/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/fcf396dbab86ff3fb93a9f41553dc58b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/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/fcf396dbab86ff3fb93a9f41553dc58b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/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/fcf396dbab86ff3fb93a9f41553dc58b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/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/fcf396dbab86ff3fb93a9f41553dc58b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/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/fcf396dbab86ff3fb93a9f41553dc58b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/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/fcf396dbab86ff3fb93a9f41553dc58b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/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/fcf396dbab86ff3fb93a9f41553dc58b/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/fcf396dbab86ff3fb93a9f41553dc58b/default/test/micrograd_demo.ml.corrected diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/default/test/micrograd_demo.ml.corrected index 77e46c6..ab81526 100644 --- a/_build/default/test/micrograd_demo.ml +++ b/_build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/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/fcf396dbab86ff3fb93a9f41553dc58b/default/test/hello_world_op.ml.corrected diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/default/test/hello_world_op.ml.corrected index ba9d7ef..6bfa309 100644 --- a/_build/default/test/hello_world_op.ml +++ b/_build/.sandbox/fcf396dbab86ff3fb93a9f41553dc58b/default/test/hello_world_op.ml.corrected @@ -102,36 +102,46 @@ let%expect_test "Print constant tensor" = let%op hey = [ (1, 2, 3); (4, 5, 6) ] in Train.forward_and_forget backend ctx hey; Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey; - [%expect {| [1.00, 2.00, 3.00; 4.00, 5.00, 6.00] |}]; + [%expect {| + [0]: [ 1.00 , 2.00 , 3.00 ; 4.00 , 5.00 , 6.00 ]_hey shape 1:3->0:2 [ + 1.00 , 2.00 , 3.00 + ; 4.00 , 5.00 , 6.00 + ] + |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hey; [%expect {| - ┌─────────────────────────────────────────────────────────────┐ - │[0]: [1.00, 2.00, 3.00; 4.00, 5.00, 6.00]_hey shape 1:3->0:2 │ - │┌──────┬──────────────────┐ │ - ││ │axis 1 │ │ - │├──────┼──────────────────┤ │ - ││axis 0│ 1.00 2.00 3.00 │ │ - ││ │ 4.00 5.00 6.00 │ │ - │└──────┴──────────────────┘ │ - └─────────────────────────────────────────────────────────────┘ + ┌────────────────────────────────────────────────────────────────────────┐ + │[0]: [ 1.00 , 2.00 , 3.00 ; 4.00 , 5.00 , 6.00 ]_hey shape 1:3->0:2 │ + │┌──────┬──────────────────┐ │ + ││ │axis 1 │ │ + │├──────┼──────────────────┤ │ + ││axis 0│ 1.00 2.00 3.00 │ │ + ││ │ 4.00 5.00 6.00 │ │ + │└──────┴──────────────────┘ │ + └────────────────────────────────────────────────────────────────────────┘ |}]; let%op hoo = [| [ 1; 2; 3 ]; [ 4; 5; 6 ] |] in Train.forward_and_forget backend ctx hoo; Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo; - [%expect {| [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|] |}]; + [%expect {| + [1]: [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |]_hoo shape 0:2|1:3 [| + [ 1.00 ; 2.00 ; 3.00 ] + ; [ 4.00 ; 5.00 ; 6.00 ] + |] + |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo; [%expect {| - ┌──────────────────────────────────────────────────────────────────┐ - │[1]: [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|]_hoo shape 0:2|1:3 │ - │┌──────┬──────────────────┐ │ - ││ │axis 1 │ │ - │├──────┼──────────────────┤ │ - ││axis 0│ 1.00 2.00 3.00 │ │ - ││ │ 4.00 5.00 6.00 │ │ - │└──────┴──────────────────┘ │ - └──────────────────────────────────────────────────────────────────┘ + ┌─────────────────────────────────────────────────────────────────────────────┐ + │[1]: [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |]_hoo shape 0:2|1:3 │ + │┌──────┬──────────────────┐ │ + ││ │axis 1 │ │ + │├──────┼──────────────────┤ │ + ││axis 0│ 1.00 2.00 3.00 │ │ + ││ │ 4.00 5.00 6.00 │ │ + │└──────┴──────────────────┘ │ + └─────────────────────────────────────────────────────────────────────────────┘ |}]; let%op hey2 = [ @@ -145,10 +155,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey2; [%expect {| - [(1.00, 2.00, 3.00), (4.00, 5.00, 6.00); - (7.00, 8.00, 9.00), (10.00, 11.00, 12.00); - (13.00, 14.00, 15.00), (16.00, 17.00, 18.00); - (19.00, 20.00, 21.00), (22.00, 23.00, 24.00)] + [2]: c4x2x3_hey2 shape 1:2,2:3->0:4 [ + ( 1.00 , 2.00 , 3.00 ) , ( 4.00 , 5.00 , 6.00 ) + ; ( 7.00 , 8.00 , 9.00 ) , ( 10.00 , 11.00 , 12.00 ) + ; ( 13.00 , 14.00 , 15.00 ) , ( 16.00 , 17.00 , 18.00 ) + ; ( 19.00 , 20.00 , 21.00 ) , ( 22.00 , 23.00 , 24.00 ) + ] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hey2; [%expect @@ -178,10 +190,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo2; [%expect {| - [|[[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]]; - [[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]]; - [[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]]; - [[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]]|] + [3]: c4x2x3_hoo2 shape 0:4|1:2,2:3 [| + [ [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] ] + ; [ [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] ] + ; [ [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] ] + ; [ [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] ] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo2; [%expect @@ -209,10 +223,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo; [%expect {| - [|[|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|]; - [|[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]|]; - [|[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]|]; - [|[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]|]|] + [4]: c4x2x3_heyhoo shape 0:4,1:2|2:3 [| + [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |] + ; [| [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] |] + ; [| [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] |] + ; [| [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] |] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo; [%expect @@ -240,15 +256,24 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo2; [%expect {| - [| - [|[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]]; - [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]|]; - [|[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]]; - [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]|]; - [|[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]]; - [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]|]; - [|[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]]; - [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]|]|] + [5]: c4x2x3x2_heyhoo2 shape 0:4,1:2|2:3,3:2 [| + [| + [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ] + ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ] + |] + ; [| + [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ] + ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ] + |] + ; [| + [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ] + ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ] + |] + ; [| + [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ] + ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ] + |] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo2; [%expect @@ -293,17 +318,28 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo3; [%expect {| - [| + [6]: c2x2x2x3x2_heyhoo3 shape 0:2,1:2|2:2,3:3,4:2 [| [| - [[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]]; - [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]]; - [[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]]; - [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]]|]; - [| - [[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]]; - [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]]; - [[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]]; - [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]]|]|] + [ + [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ] + ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ] + ] + ; [ + [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ] + ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ] + ] + |] + ; [| + [ + [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ] + ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ] + ] + ; [ + [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ] + ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ] + ] + |] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo3; [%expect @@ -353,17 +389,28 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo4; [%expect {| - [| - [ - [[1.00, 31.00; 2.00, 32.00; 3.00, 33.00]; - [4.00, 34.00; 5.00, 35.00; 6.00, 36.00]]; - [[7.00, 37.00; 8.00, 38.00; 9.00, 39.00]; - [10.00, 40.00; 11.00, 41.00; 12.00, 42.00]]]; + [7]: c2x2x2x3x2_heyhoo4 shape 0:2|4:2->1:2,2:2,3:3 [| [ - [[13.00, 43.00; 14.00, 44.00; 15.00, 45.00]; - [16.00, 46.00; 17.00, 47.00; 18.00, 48.00]]; - [[19.00, 49.00; 20.00, 50.00; 21.00, 51.00]; - [22.00, 52.00; 23.00, 53.00; 24.00, 54.00]]]|] + [ + [ 1.00 , 31.00 ; 2.00 , 32.00 ; 3.00 , 33.00 ] + ; [ 4.00 , 34.00 ; 5.00 , 35.00 ; 6.00 , 36.00 ] + ] + ; [ + [ 7.00 , 37.00 ; 8.00 , 38.00 ; 9.00 , 39.00 ] + ; [ 10.00 , 40.00 ; 11.00 , 41.00 ; 12.00 , 42.00 ] + ] + ] + ; [ + [ + [ 13.00 , 43.00 ; 14.00 , 44.00 ; 15.00 , 45.00 ] + ; [ 16.00 , 46.00 ; 17.00 , 47.00 ; 18.00 , 48.00 ] + ] + ; [ + [ 19.00 , 49.00 ; 20.00 , 50.00 ; 21.00 , 51.00 ] + ; [ 22.00 , 52.00 ; 23.00 , 53.00 ; 24.00 , 54.00 ] + ] + ] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo4; [%expect @@ -462,8 +509,29 @@ let%expect_test "Big matrix" = Tensor.print ~with_code:false ~with_grad:false `Inline zero_to_twenty; [%expect {| - [0.00; 1.00; 2.00; 3.00; 4.00; 5.00; 6.00; 7.00; 8.00; 9.00; 10.00; 11.00; - 12.00; 13.00; 14.00; 15.00; 16.00; 17.00; 18.00; 19.00; 20.00] + [2]: 0...20 shape 0:21 [ + 0.00 + ; 1.00 + ; 2.00 + ; 3.00 + ; 4.00 + ; 5.00 + ; 6.00 + ; 7.00 + ; 8.00 + ; 9.00 + ; 10.00 + ; 11.00 + ; 12.00 + ; 13.00 + ; 14.00 + ; 15.00 + ; 16.00 + ; 17.00 + ; 18.00 + ; 19.00 + ; 20.00 + ] |}]; Tensor.print ~with_code:false ~with_grad:false `Default zero_to_twenty; [%expect (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689 Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495 Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314 Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518 Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460 Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885 Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660 Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955 Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988 Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087 Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829 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=0.229725, epoch loss=0.229725 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=0.592559 Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762 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=1.311388 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=1.785580 Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712 Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101 Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915 Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348 Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075 Batch=839, step=9240, lr=0.161750, batch loss=0.287243, epoch loss=3.376318 Batch=899, step=9300, lr=0.161500, batch loss=0.251060, epoch loss=3.627378 Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817911 Batch=1019, step=9420, lr=0.161000, batch loss=0.311728, epoch loss=4.129639 Batch=1079, step=9480, lr=0.160750, batch loss=0.191595, epoch loss=4.321234 Batch=1139, step=9540, lr=0.160500, batch loss=0.215772, epoch loss=4.537006 Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702626 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702626 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=0.240842, 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=0.213194, epoch loss=1.675009 Batch=539, step=10140, lr=0.158000, batch loss=0.170694, epoch loss=1.845703 Batch=599, step=10200, lr=0.157750, batch loss=0.200247, epoch loss=2.045950 Batch=659, step=10260, lr=0.157500, batch loss=0.283032, epoch loss=2.328982 Batch=719, step=10320, lr=0.157250, batch loss=0.288754, epoch loss=2.617735 Batch=779, step=10380, lr=0.157000, batch loss=0.296880, epoch loss=2.914615 Batch=839, step=10440, lr=0.156750, batch loss=0.267657, epoch loss=3.182272 Batch=899, step=10500, lr=0.156500, batch loss=0.242699, epoch loss=3.424972 Batch=959, step=10560, lr=0.156250, batch loss=0.198668, epoch loss=3.623639 Batch=1019, step=10620, lr=0.156000, batch loss=0.295119, epoch loss=3.918758 Batch=1079, step=10680, lr=0.155750, batch loss=0.178662, epoch loss=4.097421 Batch=1139, step=10740, lr=0.155500, batch loss=0.205425, epoch loss=4.302846 Batch=1199, step=10800, lr=0.155250, batch loss=0.156138, epoch loss=4.458984 Epoch=8, step=10800, lr=0.155250, epoch loss=4.458984 Batch=59, step=10860, lr=0.155000, batch loss=0.177430, epoch loss=0.177430 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=0.242622, epoch loss=0.739531 Batch=299, step=11100, lr=0.154000, batch loss=0.169984, epoch loss=0.909515 Batch=359, step=11160, lr=0.153750, batch loss=0.222140, epoch loss=1.131654 Batch=419, step=11220, lr=0.153500, batch loss=0.229250, epoch loss=1.360905 Batch=479, step=11280, lr=0.153250, batch loss=0.202871, epoch loss=1.563775 Batch=539, step=11340, lr=0.153000, batch loss=0.159118, epoch loss=1.722894 Batch=599, step=11400, lr=0.152750, batch loss=0.178498, epoch loss=1.901392 Batch=659, step=11460, lr=0.152500, batch loss=0.264724, epoch loss=2.166116 Batch=719, step=11520, lr=0.152250, batch loss=0.256959, epoch loss=2.423075 Batch=779, step=11580, lr=0.151750, batch loss=0.273281, epoch loss=2.696355 Batch=839, step=11640, lr=0.151750, batch loss=0.255710, epoch loss=2.952065 Batch=899, step=11700, lr=0.151500, batch loss=0.213014, epoch loss=3.165080 Batch=959, step=11760, lr=0.151250, batch loss=0.168047, epoch loss=3.333127 Batch=1019, step=11820, lr=0.151000, batch loss=0.266229, epoch loss=3.599356 Batch=1079, step=11880, lr=0.150750, batch loss=0.149586, epoch loss=3.748942 Batch=1139, step=11940, lr=0.150500, batch loss=0.185657, epoch loss=3.934599 Batch=1199, step=12000, lr=0.150250, batch loss=0.139466, epoch loss=4.074064 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074064 Batch=59, step=12060, lr=0.150000, batch loss=0.157966, epoch loss=0.157966 Batch=119, step=12120, lr=0.149750, batch loss=0.128883, epoch loss=0.286849 Batch=179, step=12180, lr=0.149500, batch loss=0.150425, epoch loss=0.437274 Batch=239, step=12240, lr=0.149250, batch loss=0.223219, epoch loss=0.660494 Batch=299, step=12300, lr=0.149000, batch loss=0.142706, epoch loss=0.803199 Batch=359, step=12360, lr=0.148750, batch loss=0.195349, epoch loss=0.998549 Batch=419, step=12420, lr=0.148500, batch loss=0.206310, epoch loss=1.204859 Batch=479, step=12480, lr=0.148250, batch loss=0.178675, epoch loss=1.383534 Batch=539, step=12540, lr=0.148000, batch loss=0.142649, epoch loss=1.526183 Batch=599, step=12600, lr=0.147750, batch loss=0.150398, epoch loss=1.676582 Batch=659, step=12660, lr=0.147500, batch loss=0.224937, epoch loss=1.901519 Batch=719, step=12720, lr=0.147250, batch loss=0.235244, epoch loss=2.136763 Batch=779, step=12780, lr=0.147000, batch loss=0.252750, epoch loss=2.389513 Batch=839, step=12840, lr=0.146750, batch loss=0.224930, epoch loss=2.614443 Batch=899, step=12900, lr=0.146500, batch loss=0.185356, epoch loss=2.799799 Batch=959, step=12960, lr=0.146250, batch loss=0.148862, epoch loss=2.948661 Batch=1019, step=13020, lr=0.146000, batch loss=0.268134, epoch loss=3.216795 Batch=1079, step=13080, lr=0.145750, batch loss=0.115262, epoch loss=3.332058 Batch=1139, step=13140, lr=0.145500, batch loss=0.155448, epoch loss=3.487506 Batch=1199, step=13200, lr=0.145250, batch loss=0.118524, epoch loss=3.606030 Epoch=10, step=13200, lr=0.145250, epoch loss=3.606030 Batch=59, step=13260, lr=0.145000, batch loss=0.143320, epoch loss=0.143320 Batch=119, step=13320, lr=0.144750, batch loss=0.119740, epoch loss=0.263060 Batch=179, step=13380, lr=0.144500, batch loss=0.127202, epoch loss=0.390262 Batch=239, step=13440, lr=0.144250, batch loss=0.186770, epoch loss=0.577032 Batch=299, step=13500, lr=0.144000, batch loss=0.112788, epoch loss=0.689820 Batch=359, step=13560, lr=0.143750, batch loss=0.161562, epoch loss=0.851382 Batch=419, step=13620, lr=0.143500, batch loss=0.160625, epoch loss=1.012006 Batch=479, step=13680, lr=0.143250, batch loss=0.147292, epoch loss=1.159299 Batch=539, step=13740, lr=0.143000, batch loss=0.118094, epoch loss=1.277393 Batch=599, step=13800, lr=0.142750, batch loss=0.119989, epoch loss=1.397382 Batch=659, step=13860, lr=0.142500, batch loss=0.175919, epoch loss=1.573301 Batch=719, step=13920, lr=0.142250, batch loss=0.172503, epoch loss=1.745804 Batch=779, step=13980, lr=0.142000, batch loss=0.178552, epoch loss=1.924355 Batch=839, step=14040, lr=0.141750, batch loss=0.186017, epoch loss=2.110372 Batch=899, step=14100, lr=0.141500, batch loss=0.178347, epoch loss=2.288719 Batch=959, step=14160, lr=0.141250, batch loss=0.145930, epoch loss=2.434648 Batch=1019, step=14220, lr=0.141000, batch loss=0.330391, epoch loss=2.765040 Batch=1079, step=14280, lr=0.140750, batch loss=0.082584, epoch loss=2.847624 Batch=1139, step=14340, lr=0.140500, batch loss=0.122383, epoch loss=2.970007 Batch=1199, step=14400, lr=0.140250, batch loss=0.091772, epoch loss=3.061779 Epoch=11, step=14400, lr=0.140250, epoch loss=3.061779 Batch=59, step=14460, lr=0.140000, batch loss=0.112708, epoch loss=0.112708 Batch=119, step=14520, lr=0.139750, batch loss=0.102827, epoch loss=0.215534 Batch=179, step=14580, lr=0.139500, batch loss=0.105866, epoch loss=0.321400 Batch=239, step=14640, lr=0.139250, batch loss=0.140926, epoch loss=0.462326 Batch=299, step=14700, lr=0.139000, batch loss=0.081139, epoch loss=0.543465 Batch=359, step=14760, lr=0.138750, batch loss=0.125301, epoch loss=0.668766 Batch=419, step=14820, lr=0.138500, batch loss=0.129287, epoch loss=0.798053 Batch=479, step=14880, lr=0.138250, batch loss=0.101388, epoch loss=0.899441 Batch=539, step=14940, lr=0.138000, batch loss=0.090746, epoch loss=0.990187 Batch=599, step=15000, lr=0.137750, batch loss=0.084918, epoch loss=1.075105 Batch=659, step=15060, lr=0.137500, batch loss=0.129189, epoch loss=1.204294 Batch=719, step=15120, lr=0.137250, batch loss=0.121462, epoch loss=1.325756 Batch=779, step=15180, lr=0.137000, batch loss=0.134528, epoch loss=1.460283 Batch=839, step=15240, lr=0.136750, batch loss=0.174514, epoch loss=1.634797 Batch=899, step=15300, lr=0.136500, batch loss=0.294599, epoch loss=1.929396 Batch=959, step=15360, lr=0.136250, batch loss=0.059325, epoch loss=1.988722 Batch=1019, step=15420, lr=0.136000, batch loss=0.136264, epoch loss=2.124985 Batch=1079, step=15480, lr=0.135750, batch loss=0.049528, epoch loss=2.174513 Batch=1139, step=15540, lr=0.135500, batch loss=0.106152, epoch loss=2.280666 Batch=1199, step=15600, lr=0.135250, batch loss=0.062301, epoch loss=2.342967 Epoch=12, step=15600, lr=0.135250, epoch loss=2.342967 Batch=59, step=15660, lr=0.135000, batch loss=0.077216, epoch loss=0.077216 Batch=119, step=15720, lr=0.134750, batch loss=0.100726, epoch loss=0.177942 Batch=179, step=15780, lr=0.134500, batch loss=0.088270, epoch loss=0.266212 Batch=239, step=15840, lr=0.134250, batch loss=0.090862, epoch loss=0.357074 Batch=299, step=15900, lr=0.134000, batch loss=0.041372, epoch loss=0.398446 Batch=359, step=15960, lr=0.133750, batch loss=0.077603, epoch loss=0.476049 Batch=419, step=16020, lr=0.133500, batch loss=0.083799, epoch loss=0.559848 Batch=479, step=16080, lr=0.133250, batch loss=0.076951, epoch loss=0.636799 Batch=539, step=16140, lr=0.133000, batch loss=0.052615, epoch loss=0.689414 Batch=599, step=16200, lr=0.132750, batch loss=0.097668, epoch loss=0.787082 Batch=659, step=16260, lr=0.132500, batch loss=0.075914, epoch loss=0.862995 Batch=719, step=16320, lr=0.132250, batch loss=0.086903, epoch loss=0.949898 Batch=779, step=16380, lr=0.132000, batch loss=0.127548, epoch loss=1.077446 Batch=839, step=16440, lr=0.131750, batch loss=0.121445, epoch loss=1.198891 Batch=899, step=16500, lr=0.131500, batch loss=0.132593, epoch loss=1.331483 Batch=959, step=16560, lr=0.131250, batch loss=0.042506, epoch loss=1.373990 Batch=1019, step=16620, lr=0.131000, batch loss=0.101950, epoch loss=1.475940 Batch=1079, step=16680, lr=0.130750, batch loss=0.028003, epoch loss=1.503943 Batch=1139, step=16740, lr=0.130500, batch loss=0.056153, epoch loss=1.560096 Batch=1199, step=16800, lr=0.130250, batch loss=0.029377, epoch loss=1.589473 Epoch=13, step=16800, lr=0.130250, epoch loss=1.589473 Batch=59, step=16860, lr=0.130000, batch loss=0.039048, epoch loss=0.039048 Batch=119, step=16920, lr=0.129750, batch loss=0.065305, epoch loss=0.104353 Batch=179, step=16980, lr=0.129500, batch loss=0.053335, epoch loss=0.157688 Batch=239, step=17040, lr=0.129250, batch loss=0.063669, epoch loss=0.221357 Batch=299, step=17100, lr=0.129000, batch loss=0.025505, epoch loss=0.246862 Batch=359, step=17160, lr=0.128750, batch loss=0.046181, epoch loss=0.293043 Batch=419, step=17220, lr=0.128500, batch loss=0.047755, epoch loss=0.340798 Batch=479, step=17280, lr=0.128250, batch loss=0.027239, epoch loss=0.368037 Batch=539, step=17340, lr=0.128000, batch loss=0.054245, epoch loss=0.422281 Batch=599, step=17400, lr=0.127750, batch loss=0.034581, epoch loss=0.456862 Batch=659, step=17460, lr=0.127500, batch loss=0.045897, epoch loss=0.502759 Batch=719, step=17520, lr=0.127250, batch loss=0.040187, epoch loss=0.542946 Batch=779, step=17580, lr=0.127000, batch loss=0.072503, epoch loss=0.615450 Batch=839, step=17640, lr=0.126750, batch loss=0.086975, epoch loss=0.702425 Batch=899, step=17700, lr=0.126500, batch loss=0.116829, epoch loss=0.819253 Batch=959, step=17760, lr=0.126250, batch loss=0.028207, epoch loss=0.847461 Batch=1019, step=17820, lr=0.126000, batch loss=0.047849, epoch loss=0.895310 Batch=1079, step=17880, lr=0.125750, batch loss=0.012697, epoch loss=0.908007 Batch=1139, step=17940, lr=0.125500, batch loss=0.030645, epoch loss=0.938652 Batch=1199, step=18000, lr=0.125250, batch loss=0.014422, epoch loss=0.953074 Epoch=14, step=18000, lr=0.125250, epoch loss=0.953074 Batch=59, step=18060, lr=0.125000, batch loss=0.010754, epoch loss=0.010754 Batch=119, step=18120, lr=0.124750, batch loss=0.041100, epoch loss=0.051854 Batch=179, step=18180, lr=0.124500, batch loss=0.100186, epoch loss=0.152041 Batch=239, step=18240, lr=0.124250, batch loss=0.046401, epoch loss=0.198442 Batch=299, step=18300, lr=0.124000, batch loss=0.009684, epoch loss=0.208126 Batch=359, step=18360, lr=0.123750, batch loss=0.026792, epoch loss=0.234918 Batch=419, step=18420, lr=0.123500, batch loss=0.028259, epoch loss=0.263178 Batch=479, step=18480, lr=0.123250, batch loss=0.015583, epoch loss=0.278760 Batch=539, step=18540, lr=0.123000, batch loss=0.020628, epoch loss=0.299388 Batch=599, step=18600, lr=0.122750, batch loss=0.025931, epoch loss=0.325319 Batch=659, step=18660, lr=0.122500, batch loss=0.028644, epoch loss=0.353963 Batch=719, step=18720, lr=0.122250, batch loss=0.040003, epoch loss=0.393965 Batch=779, step=18780, lr=0.122000, batch loss=0.097780, epoch loss=0.491745 Batch=839, step=18840, lr=0.121750, batch loss=0.058392, epoch loss=0.550137 Batch=899, step=18900, lr=0.121500, batch loss=0.071568, epoch loss=0.621705 Batch=959, step=18960, lr=0.121250, batch loss=0.014288, epoch loss=0.635993 Batch=1019, step=19020, lr=0.121000, batch loss=0.021214, epoch loss=0.657207 Batch=1079, step=19080, lr=0.120750, batch loss=0.007994, epoch loss=0.665201 Batch=1139, step=19140, lr=0.120500, batch loss=0.024108, epoch loss=0.689309 Batch=1199, step=19200, lr=0.120250, batch loss=0.009652, epoch loss=0.698961 Epoch=15, step=19200, lr=0.120250, epoch loss=0.698961 Batch=59, step=19260, lr=0.120000, batch loss=0.005098, epoch loss=0.005098 Batch=119, step=19320, lr=0.119750, batch loss=0.017396, epoch loss=0.022494 Batch=179, step=19380, lr=0.119500, batch loss=0.046105, epoch loss=0.068599 Batch=239, step=19440, lr=0.119250, batch loss=0.021218, epoch loss=0.089817 Batch=299, step=19500, lr=0.119000, batch loss=0.011918, epoch loss=0.101736 Batch=359, step=19560, lr=0.118750, batch loss=0.022883, epoch loss=0.124619 Batch=419, step=19620, lr=0.118500, batch loss=0.018936, epoch loss=0.143554 Batch=479, step=19680, lr=0.118250, batch loss=0.006487, epoch loss=0.150042 Batch=539, step=19740, lr=0.118000, batch loss=0.018652, epoch loss=0.168694 Batch=599, step=19800, lr=0.117750, batch loss=0.023898, epoch loss=0.192592 Batch=659, step=19860, lr=0.117500, batch loss=0.019934, epoch loss=0.212526 Batch=719, step=19920, lr=0.117250, batch loss=0.049988, epoch loss=0.262514 Batch=779, step=19980, lr=0.117000, batch loss=0.081055, epoch loss=0.343570 Batch=839, step=20040, lr=0.116750, batch loss=0.031265, epoch loss=0.374835 Batch=899, step=20100, lr=0.116500, batch loss=0.028647, epoch loss=0.403482 Batch=959, step=20160, lr=0.116250, batch loss=0.018368, epoch loss=0.421850 Batch=1019, step=20220, lr=0.116000, batch loss=0.022910, epoch loss=0.444760 Batch=1079, step=20280, lr=0.115750, batch loss=0.002500, epoch loss=0.447261 Batch=1139, step=20340, lr=0.115500, batch loss=0.014546, epoch loss=0.461807 Batch=1199, step=20400, lr=0.115250, batch loss=0.005835, epoch loss=0.467642 Epoch=16, step=20400, lr=0.115250, epoch loss=0.467642 Batch=59, step=20460, lr=0.115000, batch loss=0.003155, epoch loss=0.003155 Batch=119, step=20520, lr=0.114750, batch loss=0.008583, epoch loss=0.011738 Batch=179, step=20580, lr=0.114500, batch loss=0.014741, epoch loss=0.026479 Batch=239, step=20640, lr=0.114250, batch loss=0.013847, epoch loss=0.040326 Batch=299, step=20700, lr=0.114000, batch loss=0.004876, epoch loss=0.045202 Batch=359, step=20760, lr=0.113750, batch loss=0.014042, epoch loss=0.059244 Batch=419, step=20820, lr=0.113500, batch loss=0.014663, epoch loss=0.073907 Batch=479, step=20880, lr=0.113250, batch loss=0.004883, epoch loss=0.078791 Batch=539, step=20940, lr=0.113000, batch loss=0.015622, epoch loss=0.094413 Batch=599, step=21000, lr=0.112750, batch loss=0.018484, epoch loss=0.112897 Batch=659, step=21060, lr=0.112500, batch loss=0.015348, epoch loss=0.128245 Batch=719, step=21120, lr=0.112250, batch loss=0.039749, epoch loss=0.167994 Batch=779, step=21180, lr=0.112000, batch loss=0.073167, epoch loss=0.241161 Batch=839, step=21240, lr=0.111750, batch loss=0.026053, epoch loss=0.267215 Batch=899, step=21300, lr=0.111500, batch loss=0.035571, epoch loss=0.302785 Batch=959, step=21360, lr=0.111250, batch loss=0.009723, epoch loss=0.312509 Batch=1019, step=21420, lr=0.111000, batch loss=0.011428, epoch loss=0.323937 Batch=1079, step=21480, lr=0.110750, batch loss=0.000665, epoch loss=0.324602 Batch=1139, step=21540, lr=0.110500, batch loss=0.012942, epoch loss=0.337544 Batch=1199, step=21600, lr=0.110250, batch loss=0.005295, epoch loss=0.342839 Epoch=17, step=21600, lr=0.110250, epoch loss=0.342839 Batch=59, step=21660, lr=0.110000, batch loss=0.002236, epoch loss=0.002236 Batch=119, step=21720, lr=0.109750, batch loss=0.006276, epoch loss=0.008512 Batch=179, step=21780, lr=0.109500, batch loss=0.012855, epoch loss=0.021366 Batch=239, step=21840, lr=0.109250, batch loss=0.009924, epoch loss=0.031290 Batch=299, step=21900, lr=0.109000, batch loss=0.015074, epoch loss=0.046364 Batch=359, step=21960, lr=0.108750, batch loss=0.017044, epoch loss=0.063407 Batch=419, step=22020, lr=0.108500, batch loss=0.013212, epoch loss=0.076619 Batch=479, step=22080, lr=0.108250, batch loss=0.003612, epoch loss=0.080231 Batch=539, step=22140, lr=0.108000, batch loss=0.014890, epoch loss=0.095121 Batch=599, step=22200, lr=0.107750, batch loss=0.015977, epoch loss=0.111098 Batch=659, step=22260, lr=0.107500, batch loss=0.014971, epoch loss=0.126068 Batch=719, step=22320, lr=0.107250, batch loss=0.027280, epoch loss=0.153348 Batch=779, step=22380, lr=0.107000, batch loss=0.035681, epoch loss=0.189030 Batch=839, step=22440, lr=0.106750, batch loss=0.026060, epoch loss=0.215090 Batch=899, step=22500, lr=0.106500, batch loss=0.026342, epoch loss=0.241432 Batch=959, step=22560, lr=0.106250, batch loss=0.008992, epoch loss=0.250424 Batch=1019, step=22620, lr=0.106000, batch loss=0.008982, epoch loss=0.259406 Batch=1079, step=22680, lr=0.105750, batch loss=0.000337, epoch loss=0.259743 Batch=1139, step=22740, lr=0.105500, batch loss=0.010766, epoch loss=0.270508 Batch=1199, step=22800, lr=0.105250, batch loss=0.004566, epoch loss=0.275075 Epoch=18, step=22800, lr=0.105250, epoch loss=0.275075 Batch=59, step=22860, lr=0.105000, batch loss=0.001691, epoch loss=0.001691 Batch=119, step=22920, lr=0.104750, batch loss=0.005324, epoch loss=0.007015 Batch=179, step=22980, lr=0.104500, batch loss=0.010688, epoch loss=0.017703 Batch=239, step=23040, lr=0.104000, batch loss=0.009209, epoch loss=0.026912 Batch=299, step=23100, lr=0.104000, batch loss=0.011529, epoch loss=0.038441 Batch=359, step=23160, lr=0.103750, batch loss=0.011145, epoch loss=0.049586 Batch=419, step=23220, lr=0.103500, batch loss=0.011337, epoch loss=0.060922 Batch=479, step=23280, lr=0.103250, batch loss=0.003223, epoch loss=0.064145 Batch=539, step=23340, lr=0.103000, batch loss=0.016608, epoch loss=0.080753 Batch=599, step=23400, lr=0.102750, batch loss=0.013587, epoch loss=0.094340 Batch=659, step=23460, lr=0.102500, batch loss=0.011177, epoch loss=0.105517 Batch=719, step=23520, lr=0.102250, batch loss=0.012485, epoch loss=0.118003 Batch=779, step=23580, lr=0.102000, batch loss=0.022977, epoch loss=0.140979 Batch=839, step=23640, lr=0.101750, batch loss=0.026084, epoch loss=0.167064 Batch=899, step=23700, lr=0.101500, batch loss=0.022498, epoch loss=0.189562 Batch=959, step=23760, lr=0.101250, batch loss=0.008053, epoch loss=0.197614 Batch=1019, step=23820, lr=0.101000, batch loss=0.008340, epoch loss=0.205954 Batch=1079, step=23880, lr=0.100750, batch loss=0.000382, epoch loss=0.206336 Batch=1139, step=23940, lr=0.100500, batch loss=0.010108, epoch loss=0.216445 Batch=1199, step=24000, lr=0.100250, batch loss=0.004755, epoch loss=0.221200 Epoch=19, step=24000, lr=0.100250, epoch loss=0.221200 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 20:17.23: Job failed: Failed: Build failed