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-20.04-5.3_opam-2.3) Base: ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b556a4c047d8b58d6832b1e4d9d72f2e657f9bebfa62f6169aa7f61ae05da6bd 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-20.04-ocaml-5.3@sha256:b556a4c047d8b58d6832b1e4d9d72f2e657f9bebfa62f6169aa7f61ae05da6bd # ubuntu-20.04-5.3_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-20.04-ocaml-5.3@sha256:b556a4c047d8b58d6832b1e4d9d72f2e657f9bebfa62f6169aa7f61ae05da6bd-ubuntu-20.04-5.3_opam-2.3-63d0fa7caba437c680f3f62d33f451da" 2025-05-22 20:00.59: Using OBuilder spec: ((from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b556a4c047d8b58d6832b1e4d9d72f2e657f9bebfa62f6169aa7f61ae05da6bd) (comment ubuntu-20.04-5.3_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 20:01.07: Got resource from pool OCluster Building on bremusa.ocamllabs.io 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:ubuntu-20.04-ocaml-5.3@sha256:b556a4c047d8b58d6832b1e4d9d72f2e657f9bebfa62f6169aa7f61ae05da6bd) 2025-05-22 20:01.11 ---> using "44eca1e621c9d2ae5a7cb226bf9535627e9ad4eb1a4298fb05ee7eee3e942c25" from cache /: (comment ubuntu-20.04-5.3_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 20:01.11 ---> using "fa6bcd6b9c901a593f7b9d47c80af8d06da035f3432897bc320e3a051c19bc35" 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 31 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=31 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-22 20:01.11 ---> using "3ed00003605ea7bf8b9cf301a035a6c9a5062664f670f326408915fcc59a9187" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 6.8.0-59-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-05-22 20:01.11 ---> using "62bcf27bafb9be53fe068d3f9224a78a299c16e5d45763b9fbdbf92e9947cc2a" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-22 20:01.11 ---> using "18932cafbba93cc50c838b74db5bedd4bef29c1fd0ea06f40b9ce878c25e00c4" 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 20:02.15 ---> saved as "d6c36dbe48110760624ddf6d8110045dabf96c9991c0c00926de6c8dfa50f56c" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-22 20:02.15 ---> saved as "f1c9c52cb306ccaf5de3fdeba9f8e563e75019bb5c6a81239df720ec43aa0169" /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 20:02.23 ---> saved as "1335b8a4f3d1995e6d06d8d87de9ac8f10425b25346e172dbf2f8d7fad6409d1" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-22 20:02.24 ---> saved as "0d3117b48f33416a285fb64a2f45edccffc8dce341421397cf7d2a2e2d64f1f7" /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 focal-security InRelease [128 kB] - Get:2 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [4782 kB] - Hit:3 http://archive.ubuntu.com/ubuntu focal InRelease - Get:4 http://security.ubuntu.com/ubuntu focal-security/multiverse amd64 Packages [33.1 kB] - Get:5 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [1308 kB] - Get:6 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [4421 kB] - Get:7 http://archive.ubuntu.com/ubuntu focal-updates InRelease [128 kB] - Get:8 http://archive.ubuntu.com/ubuntu focal-backports InRelease [128 kB] - Get:9 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [4911 kB] - Get:10 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1599 kB] - Get:11 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [4979 kB] - Fetched 22.4 MB in 3s (8696 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 libglib2.0-0: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 ... 14727 files and directories currently installed.) - Preparing to unpack .../0-libglib2.0-0_2.64.6-1~ubuntu20.04.8_amd64.deb ... - Unpacking libglib2.0-0:amd64 (2.64.6-1~ubuntu20.04.8) ... - Selecting previously unselected package libglib2.0-data. - Preparing to unpack .../1-libglib2.0-data_2.64.6-1~ubuntu20.04.8_all.deb ... - Unpacking libglib2.0-data (2.64.6-1~ubuntu20.04.8) ... - Selecting previously unselected package tzdata. - Preparing to unpack .../2-tzdata_2025b-0ubuntu0.20.04_all.deb ... - Unpacking tzdata (2025b-0ubuntu0.20.04) ... - Selecting previously unselected package libicu66:amd64. - Preparing to unpack .../3-libicu66_66.1-2ubuntu2.1_amd64.deb ... - Unpacking libicu66:amd64 (66.1-2ubuntu2.1) ... - Selecting previously unselected package libxml2:amd64. - Preparing to unpack .../4-libxml2_2.9.10+dfsg-5ubuntu0.20.04.10_amd64.deb ... - Unpacking libxml2:amd64 (2.9.10+dfsg-5ubuntu0.20.04.10) ... - Selecting previously unselected package shared-mime-info. - Preparing to unpack .../5-shared-mime-info_1.15-1_amd64.deb ... - Unpacking shared-mime-info (1.15-1) ... - Selecting previously unselected package xdg-user-dirs. - Preparing to unpack .../6-xdg-user-dirs_0.17-2ubuntu1_amd64.deb ... - Unpacking xdg-user-dirs (0.17-2ubuntu1) ... - Selecting previously unselected package pkg-config. - Preparing to unpack .../7-pkg-config_0.29.1-0ubuntu4_amd64.deb ... - Unpacking pkg-config (0.29.1-0ubuntu4) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../8-libffi-dev_3.3-4_amd64.deb ... - Unpacking libffi-dev:amd64 (3.3-4) ... - Setting up xdg-user-dirs (0.17-2ubuntu1) ... - Setting up libglib2.0-0:amd64 (2.64.6-1~ubuntu20.04.8) ... - No schema files found: doing nothing. - Setting up libffi-dev:amd64 (3.3-4) ... - Setting up tzdata (2025b-0ubuntu0.20.04) ... - - Current default time zone: 'Europe/London' - Local time is now: Thu May 22 21:02:58 BST 2025. - Universal Time is now: Thu May 22 20:02:58 UTC 2025. - Run 'dpkg-reconfigure tzdata' if you wish to change it. - - Setting up libglib2.0-data (2.64.6-1~ubuntu20.04.8) ... - Setting up pkg-config (0.29.1-0ubuntu4) ... - Setting up libicu66:amd64 (66.1-2ubuntu2.1) ... - Setting up libxml2:amd64 (2.9.10+dfsg-5ubuntu0.20.04.10) ... - Setting up shared-mime-info (1.15-1) ... - Processing triggers for libc-bin (2.31-0ubuntu9.17) ... 2025-05-22 20:02.59 ---> saved as "dd67a37b1465de793a1f41a78919358a420aad343b6365adfa1050bc67c893e6" /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_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved 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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.0 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed ppx_derivers.1.2.1 -> 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-syntax-shims.1.0.0 -> installed re.1.12.0 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.19.0 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed mdx.2.5.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed base.v0.17.2 -> installed ctypes-foreign.0.23.0 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> 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 20:05.30 ---> saved as "bf02192f63ce0e85d38025d89710604ba5b0e93cf52f74ee5bfd536dfe03f191" /src: (copy (src .) (dst /src)) 2025-05-22 20:05.31 ---> saved as "182bf48f7b94135f44252692410ac59e96cf6b7d632f9912440822e745b4a1db" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5aa3176835297a281f18d244176267d7/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/5aa3176835297a281f18d244176267d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5aa3176835297a281f18d244176267d7/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/8aa40689619c84d5fd6098c501204945/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5aa3176835297a281f18d244176267d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5aa3176835297a281f18d244176267d7/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/5aa3176835297a281f18d244176267d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5aa3176835297a281f18d244176267d7/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/5aa3176835297a281f18d244176267d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 30-40, characters 0-281: 30 | (rule 31 | (alias runtest) 32 | (target 33 | (dir log_files)) 34 | (action 35 | (run 36 | %{dep:micrograd_demo_logging.exe} 37 | "--ocannl_debug_backend=text" 38 | "--ocannl_log_file_stem=micrograd_demo_logging" 39 | "--ocannl_log_main_domain_to_stdout=false" 40 | "--ocannl_debug_log_to_stream_files=true"))) (cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Retrieving commandline, environment, or config file variable ocannl_cd_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Found true, commandline --ocannl_debug_log_to_stream_files=true Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64 Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31 Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59 Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38 Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82 Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92 Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92 Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77 (cd _build/.sandbox/5aa3176835297a281f18d244176267d7/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/5aa3176835297a281f18d244176267d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5aa3176835297a281f18d244176267d7/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/5aa3176835297a281f18d244176267d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5aa3176835297a281f18d244176267d7/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/5aa3176835297a281f18d244176267d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5aa3176835297a281f18d244176267d7/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/5aa3176835297a281f18d244176267d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5aa3176835297a281f18d244176267d7/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/5aa3176835297a281f18d244176267d7/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/5aa3176835297a281f18d244176267d7/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/5aa3176835297a281f18d244176267d7/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/5aa3176835297a281f18d244176267d7/default/test/micrograd_demo.ml.corrected diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/5aa3176835297a281f18d244176267d7/default/test/micrograd_demo.ml.corrected index 77e46c6..ab81526 100644 --- a/_build/default/test/micrograd_demo.ml +++ b/_build/.sandbox/5aa3176835297a281f18d244176267d7/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/5aa3176835297a281f18d244176267d7/default/test/hello_world_op.ml.corrected diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/5aa3176835297a281f18d244176267d7/default/test/hello_world_op.ml.corrected index ba9d7ef..6bfa309 100644 --- a/_build/default/test/hello_world_op.ml +++ b/_build/.sandbox/5aa3176835297a281f18d244176267d7/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=0.199250, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.851101, epoch loss=35.626483 Batch=299, step=300, lr=0.198750, batch loss=1.445322, epoch loss=37.071804 Batch=359, step=360, lr=0.198750, batch loss=1.329270, epoch loss=38.401074 Batch=419, step=420, lr=0.198250, batch loss=0.619113, epoch loss=39.020187 Batch=479, step=480, lr=0.198250, batch loss=0.821473, epoch loss=39.841661 Batch=539, step=540, lr=0.197750, batch loss=0.692170, epoch loss=40.533830 Batch=599, step=600, lr=0.197750, batch loss=1.062050, epoch loss=41.595880 Batch=659, step=660, lr=0.197500, batch loss=0.483802, epoch loss=42.079683 Batch=719, step=720, lr=0.197000, batch loss=0.411452, epoch loss=42.491135 Batch=779, step=780, lr=0.196750, batch loss=0.470118, epoch loss=42.961253 Batch=839, step=840, lr=0.196750, batch loss=0.447004, epoch loss=43.408257 Batch=899, step=900, lr=0.196500, batch loss=0.382884, epoch loss=43.791141 Batch=959, step=960, lr=0.196250, batch loss=0.244871, epoch loss=44.036012 Batch=1019, step=1020, lr=0.196000, batch loss=0.467524, epoch loss=44.503536 Batch=1079, step=1080, lr=0.195750, batch loss=0.248282, epoch loss=44.751817 Batch=1139, step=1140, lr=0.195250, batch loss=0.318194, epoch loss=45.070011 Batch=1199, step=1200, lr=0.195250, batch loss=0.263657, epoch loss=45.333668 Epoch=0, step=1200, lr=0.195250, epoch loss=45.333668 Batch=59, step=1260, lr=0.195000, batch loss=0.262113, epoch loss=0.262113 Batch=119, step=1320, lr=0.194750, batch loss=0.205542, epoch loss=0.467655 Batch=179, step=1380, lr=0.194250, batch loss=0.243668, epoch loss=0.711323 Batch=239, step=1440, lr=0.194250, batch loss=0.347657, epoch loss=1.058980 Batch=299, step=1500, lr=0.193750, batch loss=0.247920, epoch loss=1.306900 Batch=359, step=1560, lr=0.193750, batch loss=0.316089, epoch loss=1.622989 Batch=419, step=1620, lr=0.193250, batch loss=0.309265, epoch loss=1.932254 Batch=479, step=1680, lr=0.193250, batch loss=0.274794, epoch loss=2.207048 Batch=539, step=1740, lr=0.193000, batch loss=0.210585, epoch loss=2.417633 Batch=599, step=1800, lr=0.192500, batch loss=0.251627, epoch loss=2.669261 Batch=659, step=1860, lr=0.192250, batch loss=0.367021, epoch loss=3.036281 Batch=719, step=1920, lr=0.192250, batch loss=0.355884, epoch loss=3.392165 Batch=779, step=1980, lr=0.192000, batch loss=0.381214, epoch loss=3.773379 Batch=839, step=2040, lr=0.191750, batch loss=0.340232, epoch loss=4.113611 Batch=899, step=2100, lr=0.191250, batch loss=0.294991, epoch loss=4.408602 Batch=959, step=2160, lr=0.191000, batch loss=0.214110, epoch loss=4.622712 Batch=1019, step=2220, lr=0.190750, batch loss=0.330370, epoch loss=4.953081 Batch=1079, step=2280, lr=0.190750, batch loss=0.195268, epoch loss=5.148349 Batch=1139, step=2340, lr=0.190250, batch loss=0.261527, epoch loss=5.409876 Batch=1199, step=2400, lr=0.190000, batch loss=0.210712, epoch loss=5.620588 Epoch=1, step=2400, lr=0.190000, epoch loss=5.620588 Batch=59, step=2460, lr=0.190000, batch loss=0.232968, epoch loss=0.232968 Batch=119, step=2520, lr=0.189750, batch loss=0.196499, epoch loss=0.429467 Batch=179, step=2580, lr=0.189250, batch loss=0.219438, epoch loss=0.648905 Batch=239, step=2640, lr=0.189000, batch loss=0.326617, epoch loss=0.975522 Batch=299, step=2700, lr=0.188750, batch loss=0.205370, epoch loss=1.180892 Batch=359, step=2760, lr=0.188500, batch loss=0.289967, epoch loss=1.470859 Batch=419, step=2820, lr=0.188250, batch loss=0.280594, epoch loss=1.751453 Batch=479, step=2880, lr=0.188000, batch loss=0.254257, epoch loss=2.005710 Batch=539, step=2940, lr=0.188000, batch loss=0.196640, epoch loss=2.202350 Batch=599, step=3000, lr=0.187750, batch loss=0.243846, epoch loss=2.446196 Batch=659, step=3060, lr=0.187500, batch loss=0.347221, epoch loss=2.793417 Batch=719, step=3120, lr=0.187250, batch loss=0.347716, epoch loss=3.141133 Batch=779, step=3180, lr=0.187000, batch loss=0.362477, epoch loss=3.503611 Batch=839, step=3240, lr=0.186750, batch loss=0.324324, epoch loss=3.827934 Batch=899, step=3300, lr=0.186250, batch loss=0.293963, epoch loss=4.121897 Batch=959, step=3360, lr=0.186250, batch loss=0.227958, epoch loss=4.349855 Batch=1019, step=3420, lr=0.186000, batch loss=0.345870, epoch loss=4.695724 Batch=1079, step=3480, lr=0.185500, batch loss=0.225430, epoch loss=4.921154 Batch=1139, step=3540, lr=0.185250, batch loss=0.266297, epoch loss=5.187451 Batch=1199, step=3600, lr=0.185000, batch loss=0.198848, epoch loss=5.386300 Epoch=2, step=3600, lr=0.185000, epoch loss=5.386300 Batch=59, step=3660, lr=0.185000, batch loss=0.225904, epoch loss=0.225904 Batch=119, step=3720, lr=0.184750, batch loss=0.187041, epoch loss=0.412945 Batch=179, step=3780, lr=0.184250, batch loss=0.212470, epoch loss=0.625415 Batch=239, step=3840, lr=0.184250, batch loss=0.316417, epoch loss=0.941832 Batch=299, step=3900, lr=0.183750, batch loss=0.204071, epoch loss=1.145903 Batch=359, step=3960, lr=0.183750, batch loss=0.288373, epoch loss=1.434276 Batch=419, step=4020, lr=0.183250, batch loss=0.274011, epoch loss=1.708287 Batch=479, step=4080, lr=0.183250, batch loss=0.260375, epoch loss=1.968662 Batch=539, step=4140, lr=0.182750, batch loss=0.194299, epoch loss=2.162961 Batch=599, step=4200, lr=0.182500, batch loss=0.230414, epoch loss=2.393375 Batch=659, step=4260, lr=0.182250, batch loss=0.337150, epoch loss=2.730525 Batch=719, step=4320, lr=0.182250, batch loss=0.341229, epoch loss=3.071754 Batch=779, step=4380, lr=0.182000, batch loss=0.351890, epoch loss=3.423644 Batch=839, step=4440, lr=0.181500, batch loss=0.315814, epoch loss=3.739458 Batch=899, step=4500, lr=0.181500, batch loss=0.284607, epoch loss=4.024066 Batch=959, step=4560, lr=0.181000, batch loss=0.236962, epoch loss=4.261028 Batch=1019, step=4620, lr=0.181000, batch loss=0.336497, epoch loss=4.597525 Batch=1079, step=4680, lr=0.180500, batch loss=0.205431, epoch loss=4.802956 Batch=1139, step=4740, lr=0.180250, batch loss=0.248753, epoch loss=5.051710 Batch=1199, step=4800, lr=0.180250, batch loss=0.191578, epoch loss=5.243288 Epoch=3, step=4800, lr=0.180250, epoch loss=5.243288 Batch=59, step=4860, lr=0.179750, batch loss=0.225443, epoch loss=0.225443 Batch=119, step=4920, lr=0.179500, batch loss=0.186369, epoch loss=0.411811 Batch=179, step=4980, lr=0.179250, batch loss=0.206747, epoch loss=0.618558 Batch=239, step=5040, lr=0.179000, batch loss=0.307710, epoch loss=0.926269 Batch=299, step=5100, lr=0.179000, batch loss=0.199874, epoch loss=1.126143 Batch=359, step=5160, lr=0.178500, batch loss=0.274427, epoch loss=1.400570 Batch=419, step=5220, lr=0.178250, batch loss=0.264314, epoch loss=1.664883 Batch=479, step=5280, lr=0.178000, batch loss=0.240566, epoch loss=1.905449 Batch=539, step=5340, lr=0.177750, batch loss=0.189846, epoch loss=2.095295 Batch=599, step=5400, lr=0.177500, batch loss=0.229856, epoch loss=2.325151 Batch=659, step=5460, lr=0.177250, batch loss=0.324895, epoch loss=2.650045 Batch=719, step=5520, lr=0.177250, batch loss=0.325688, epoch loss=2.975733 Batch=779, step=5580, lr=0.177000, batch loss=0.344900, epoch loss=3.320633 Batch=839, step=5640, lr=0.176750, batch loss=0.309650, epoch loss=3.630283 Batch=899, step=5700, lr=0.176500, batch loss=0.274327, epoch loss=3.904610 Batch=959, step=5760, lr=0.176000, batch loss=0.214555, epoch loss=4.119166 Batch=1019, step=5820, lr=0.176000, batch loss=0.341302, epoch loss=4.460468 Batch=1079, step=5880, lr=0.175750, batch loss=0.208209, epoch loss=4.668677 Batch=1139, step=5940, lr=0.175500, batch loss=0.238377, epoch loss=4.907054 Batch=1199, step=6000, lr=0.175250, batch loss=0.187169, epoch loss=5.094223 Epoch=4, step=6000, lr=0.175250, epoch loss=5.094223 Batch=59, step=6060, lr=0.175000, batch loss=0.231623, epoch loss=0.231623 Batch=119, step=6120, lr=0.174750, batch loss=0.186769, epoch loss=0.418392 Batch=179, step=6180, lr=0.174250, batch loss=0.202150, epoch loss=0.620543 Batch=239, step=6240, lr=0.174000, batch loss=0.299836, epoch loss=0.920379 Batch=299, step=6300, lr=0.174000, batch loss=0.200940, epoch loss=1.121319 Batch=359, step=6360, lr=0.173750, batch loss=0.263330, epoch loss=1.384649 Batch=419, step=6420, lr=0.173250, batch loss=0.258216, epoch loss=1.642865 Batch=479, step=6480, lr=0.173250, batch loss=0.232095, epoch loss=1.874959 Batch=539, step=6540, lr=0.172750, batch loss=0.190726, epoch loss=2.065685 Batch=599, step=6600, lr=0.172500, batch loss=0.232280, epoch loss=2.297965 Batch=659, step=6660, lr=0.172500, batch loss=0.313206, epoch loss=2.611171 Batch=719, step=6720, lr=0.172250, batch loss=0.316206, epoch loss=2.927377 Batch=779, step=6780, lr=0.171750, batch loss=0.330635, epoch loss=3.258012 Batch=839, step=6840, lr=0.171750, batch loss=0.306357, epoch loss=3.564369 Batch=899, step=6900, lr=0.171500, batch loss=0.268918, epoch loss=3.833287 Batch=959, step=6960, lr=0.171250, batch loss=0.207946, epoch loss=4.041233 Batch=1019, step=7020, lr=0.171000, batch loss=0.328685, epoch loss=4.369917 Batch=1079, step=7080, lr=0.170750, batch loss=0.184104, epoch loss=4.554021 Batch=1139, step=7140, lr=0.170500, batch loss=0.216212, epoch loss=4.770233 Batch=1199, step=7200, lr=0.170000, batch loss=0.182395, epoch loss=4.952628 Epoch=5, step=7200, lr=0.170000, epoch loss=4.952628 Batch=59, step=7260, lr=0.169750, batch loss=0.235563, epoch loss=0.235563 Batch=119, step=7320, lr=0.169500, batch loss=0.182844, epoch loss=0.418407 Batch=179, step=7380, lr=0.169500, batch loss=0.195761, epoch loss=0.614168 Batch=239, step=7440, lr=0.169250, batch loss=0.293945, epoch loss=0.908114 Batch=299, step=7500, lr=0.168750, batch loss=0.203593, epoch loss=1.111706 Batch=359, step=7560, lr=0.168750, batch loss=0.264525, epoch loss=1.376231 Batch=419, step=7620, lr=0.168500, batch loss=0.256972, epoch loss=1.633203 Batch=479, step=7680, lr=0.168000, batch loss=0.236979, epoch loss=1.870182 Batch=539, step=7740, lr=0.167750, batch loss=0.188630, epoch loss=2.058812 Batch=599, step=7800, lr=0.167750, batch loss=0.224979, epoch loss=2.283791 Batch=659, step=7860, lr=0.167500, batch loss=0.304614, epoch loss=2.588405 Batch=719, step=7920, lr=0.167250, batch loss=0.307784, epoch loss=2.896189 Batch=779, step=7980, lr=0.166750, batch loss=0.320385, epoch loss=3.216574 Batch=839, step=8040, lr=0.166750, batch loss=0.296581, epoch loss=3.513156 Batch=899, step=8100, lr=0.166250, batch loss=0.258774, epoch loss=3.771930 Batch=959, step=8160, lr=0.166250, batch loss=0.208318, epoch loss=3.980247 Batch=1019, step=8220, lr=0.166000, batch loss=0.315670, epoch loss=4.295917 Batch=1079, step=8280, lr=0.165750, batch loss=0.171150, epoch loss=4.467068 Batch=1139, step=8340, lr=0.165500, batch loss=0.206883, epoch loss=4.673950 Batch=1199, step=8400, lr=0.165000, batch loss=0.178712, epoch loss=4.852662 Epoch=6, step=8400, lr=0.165000, epoch loss=4.852662 Batch=59, step=8460, lr=0.165000, batch loss=0.228262, epoch loss=0.228262 Batch=119, step=8520, lr=0.164750, batch loss=0.176118, epoch loss=0.404380 Batch=179, step=8580, lr=0.164250, batch loss=0.187429, epoch loss=0.591809 Batch=239, step=8640, lr=0.164000, batch loss=0.278886, epoch loss=0.870696 Batch=299, step=8700, lr=0.164000, batch loss=0.199648, epoch loss=1.070344 Batch=359, step=8760, lr=0.163500, batch loss=0.250682, epoch loss=1.321026 Batch=419, step=8820, lr=0.163500, batch loss=0.244123, epoch loss=1.565149 Batch=479, step=8880, lr=0.163250, batch loss=0.228096, epoch loss=1.793245 Batch=539, step=8940, lr=0.163000, batch loss=0.178854, epoch loss=1.972100 Batch=599, step=9000, lr=0.162500, batch loss=0.216778, epoch loss=2.188878 Batch=659, step=9060, lr=0.162250, batch loss=0.293324, epoch loss=2.482202 Batch=719, step=9120, lr=0.162250, batch loss=0.296842, epoch loss=2.779044 Batch=779, step=9180, lr=0.162000, batch loss=0.314907, epoch loss=3.093951 Batch=839, step=9240, lr=0.161500, batch loss=0.279623, epoch loss=3.373574 Batch=899, step=9300, lr=0.161250, batch loss=0.250703, epoch loss=3.624277 Batch=959, step=9360, lr=0.161000, batch loss=0.188238, epoch loss=3.812515 Batch=1019, step=9420, lr=0.160750, batch loss=0.316559, epoch loss=4.129073 Batch=1079, step=9480, lr=0.160750, batch loss=0.186662, epoch loss=4.315735 Batch=1139, step=9540, lr=0.160250, batch loss=0.212588, epoch loss=4.528324 Batch=1199, step=9600, lr=0.160000, batch loss=0.167164, epoch loss=4.695488 Epoch=7, step=9600, lr=0.160000, epoch loss=4.695488 Batch=59, step=9660, lr=0.159750, batch loss=0.207113, epoch loss=0.207113 Batch=119, step=9720, lr=0.159500, batch loss=0.173063, epoch loss=0.380176 Batch=179, step=9780, lr=0.159250, batch loss=0.179431, epoch loss=0.559607 Batch=239, step=9840, lr=0.159250, batch loss=0.260658, epoch loss=0.820265 Batch=299, step=9900, lr=0.158750, batch loss=0.186644, epoch loss=1.006909 Batch=359, step=9960, lr=0.158500, batch loss=0.238793, epoch loss=1.245702 Batch=419, step=10020, lr=0.158500, batch loss=0.234067, epoch loss=1.479769 Batch=479, step=10080, lr=0.158000, batch loss=0.219714, epoch loss=1.699483 Batch=539, step=10140, lr=0.158000, batch loss=0.169526, epoch loss=1.869009 Batch=599, step=10200, lr=0.157750, batch loss=0.202137, epoch loss=2.071146 Batch=659, step=10260, lr=0.157250, batch loss=0.281636, epoch loss=2.352782 Batch=719, step=10320, lr=0.157250, batch loss=0.288143, epoch loss=2.640925 Batch=779, step=10380, lr=0.156750, batch loss=0.294608, epoch loss=2.935533 Batch=839, step=10440, lr=0.156500, batch loss=0.266945, epoch loss=3.202478 Batch=899, step=10500, lr=0.156500, batch loss=0.243826, epoch loss=3.446305 Batch=959, step=10560, lr=0.156000, batch loss=0.193419, epoch loss=3.639724 Batch=1019, step=10620, lr=0.156000, batch loss=0.283286, epoch loss=3.923009 Batch=1079, step=10680, lr=0.155750, batch loss=0.176210, epoch loss=4.099219 Batch=1139, step=10740, lr=0.155500, batch loss=0.201123, epoch loss=4.300342 Batch=1199, step=10800, lr=0.155250, batch loss=0.154214, epoch loss=4.454556 Epoch=8, step=10800, lr=0.155250, epoch loss=4.454556 Batch=59, step=10860, lr=0.155000, batch loss=0.176150, epoch loss=0.176150 Batch=119, step=10920, lr=0.154750, batch loss=0.151242, epoch loss=0.327392 Batch=179, step=10980, lr=0.154250, batch loss=0.166194, epoch loss=0.493585 Batch=239, step=11040, lr=0.154250, batch loss=0.242937, epoch loss=0.736523 Batch=299, step=11100, lr=0.154000, batch loss=0.165585, epoch loss=0.902107 Batch=359, step=11160, lr=0.153500, batch loss=0.222882, epoch loss=1.124990 Batch=419, step=11220, lr=0.153500, batch loss=0.229274, epoch loss=1.354264 Batch=479, step=11280, lr=0.153250, batch loss=0.202265, epoch loss=1.556529 Batch=539, step=11340, lr=0.152750, batch loss=0.160035, epoch loss=1.716563 Batch=599, step=11400, lr=0.152750, batch loss=0.183239, epoch loss=1.899802 Batch=659, step=11460, lr=0.152500, batch loss=0.261048, epoch loss=2.160850 Batch=719, step=11520, lr=0.152250, batch loss=0.254972, epoch loss=2.415822 Batch=779, step=11580, lr=0.152000, batch loss=0.269844, epoch loss=2.685666 Batch=839, step=11640, lr=0.151750, batch loss=0.256205, epoch loss=2.941871 Batch=899, step=11700, lr=0.151500, batch loss=0.216105, epoch loss=3.157976 Batch=959, step=11760, lr=0.151250, batch loss=0.173184, epoch loss=3.331160 Batch=1019, step=11820, lr=0.151000, batch loss=0.259475, epoch loss=3.590635 Batch=1079, step=11880, lr=0.150500, batch loss=0.146641, epoch loss=3.737276 Batch=1139, step=11940, lr=0.150500, batch loss=0.180202, epoch loss=3.917478 Batch=1199, step=12000, lr=0.150000, batch loss=0.138827, epoch loss=4.056305 Epoch=9, step=12000, lr=0.150000, epoch loss=4.056305 Batch=59, step=12060, lr=0.150000, batch loss=0.160011, epoch loss=0.160011 Batch=119, step=12120, lr=0.149750, batch loss=0.136876, epoch loss=0.296887 Batch=179, step=12180, lr=0.149250, batch loss=0.150357, epoch loss=0.447245 Batch=239, step=12240, lr=0.149000, batch loss=0.218230, epoch loss=0.665474 Batch=299, step=12300, lr=0.149000, batch loss=0.141267, epoch loss=0.806741 Batch=359, step=12360, lr=0.148750, batch loss=0.198448, epoch loss=1.005189 Batch=419, step=12420, lr=0.148250, batch loss=0.205459, epoch loss=1.210647 Batch=479, step=12480, lr=0.148250, batch loss=0.177504, epoch loss=1.388151 Batch=539, step=12540, lr=0.147750, batch loss=0.141863, epoch loss=1.530014 Batch=599, step=12600, lr=0.147750, batch loss=0.147842, epoch loss=1.677856 Batch=659, step=12660, lr=0.147500, batch loss=0.226424, epoch loss=1.904279 Batch=719, step=12720, lr=0.147000, batch loss=0.234248, epoch loss=2.138527 Batch=779, step=12780, lr=0.146750, batch loss=0.264044, epoch loss=2.402570 Batch=839, step=12840, lr=0.146500, batch loss=0.232144, epoch loss=2.634714 Batch=899, step=12900, lr=0.146250, batch loss=0.203077, epoch loss=2.837791 Batch=959, step=12960, lr=0.146250, batch loss=0.145624, epoch loss=2.983415 Batch=1019, step=13020, lr=0.145750, batch loss=0.242377, epoch loss=3.225792 Batch=1079, step=13080, lr=0.145750, batch loss=0.111742, epoch loss=3.337534 Batch=1139, step=13140, lr=0.145500, batch loss=0.148221, epoch loss=3.485755 Batch=1199, step=13200, lr=0.145250, batch loss=0.115351, epoch loss=3.601106 Epoch=10, step=13200, lr=0.145250, epoch loss=3.601106 Batch=59, step=13260, lr=0.144750, batch loss=0.136122, epoch loss=0.136122 Batch=119, step=13320, lr=0.144750, batch loss=0.116436, epoch loss=0.252558 Batch=179, step=13380, lr=0.144500, batch loss=0.125672, epoch loss=0.378230 Batch=239, step=13440, lr=0.144000, batch loss=0.182109, epoch loss=0.560338 Batch=299, step=13500, lr=0.144000, batch loss=0.117442, epoch loss=0.677780 Batch=359, step=13560, lr=0.143500, batch loss=0.161265, epoch loss=0.839045 Batch=419, step=13620, lr=0.143250, batch loss=0.159381, epoch loss=0.998426 Batch=479, step=13680, lr=0.143000, batch loss=0.145807, epoch loss=1.144233 Batch=539, step=13740, lr=0.143000, batch loss=0.115772, epoch loss=1.260005 Batch=599, step=13800, lr=0.142750, batch loss=0.118691, epoch loss=1.378696 Batch=659, step=13860, lr=0.142500, batch loss=0.174530, epoch loss=1.553226 Batch=719, step=13920, lr=0.142000, batch loss=0.171454, epoch loss=1.724680 Batch=779, step=13980, lr=0.141750, batch loss=0.176817, epoch loss=1.901497 Batch=839, step=14040, lr=0.141500, batch loss=0.203404, epoch loss=2.104901 Batch=899, step=14100, lr=0.141500, batch loss=0.218459, epoch loss=2.323360 Batch=959, step=14160, lr=0.141000, batch loss=0.107526, epoch loss=2.430886 Batch=1019, step=14220, lr=0.141000, batch loss=0.186249, epoch loss=2.617135 Batch=1079, step=14280, lr=0.140750, batch loss=0.081011, epoch loss=2.698145 Batch=1139, step=14340, lr=0.140250, batch loss=0.125165, epoch loss=2.823311 Batch=1199, step=14400, lr=0.140250, batch loss=0.083915, epoch loss=2.907226 Epoch=11, step=14400, lr=0.140250, epoch loss=2.907226 Batch=59, step=14460, lr=0.140000, batch loss=0.098317, epoch loss=0.098317 Batch=119, step=14520, lr=0.139500, batch loss=0.087585, epoch loss=0.185902 Batch=179, step=14580, lr=0.139500, batch loss=0.094020, epoch loss=0.279922 Batch=239, step=14640, lr=0.139000, batch loss=0.150146, epoch loss=0.430068 Batch=299, step=14700, lr=0.139000, batch loss=0.119318, epoch loss=0.549386 Batch=359, step=14760, lr=0.138750, batch loss=0.132307, epoch loss=0.681693 Batch=419, step=14820, lr=0.138250, batch loss=0.165793, epoch loss=0.847486 Batch=479, step=14880, lr=0.138000, batch loss=0.085000, epoch loss=0.932486 Batch=539, step=14940, lr=0.138000, batch loss=0.068747, epoch loss=1.001234 Batch=599, step=15000, lr=0.137500, batch loss=0.090561, epoch loss=1.091795 Batch=659, step=15060, lr=0.137500, batch loss=0.123545, epoch loss=1.215340 Batch=719, step=15120, lr=0.137250, batch loss=0.120850, epoch loss=1.336190 Batch=779, step=15180, lr=0.137000, batch loss=0.123238, epoch loss=1.459427 Batch=839, step=15240, lr=0.136750, batch loss=0.142834, epoch loss=1.602262 Batch=899, step=15300, lr=0.136500, batch loss=0.144313, epoch loss=1.746575 Batch=959, step=15360, lr=0.136000, batch loss=0.125212, epoch loss=1.871787 Batch=1019, step=15420, lr=0.135750, batch loss=0.394446, epoch loss=2.266233 Batch=1079, step=15480, lr=0.135750, batch loss=0.038432, epoch loss=2.304665 Batch=1139, step=15540, lr=0.135500, batch loss=0.074609, epoch loss=2.379274 Batch=1199, step=15600, lr=0.135000, batch loss=0.063347, epoch loss=2.442621 Epoch=12, step=15600, lr=0.135000, epoch loss=2.442621 Batch=59, step=15660, lr=0.135000, batch loss=0.074395, epoch loss=0.074395 Batch=119, step=15720, lr=0.134500, batch loss=0.090383, epoch loss=0.164778 Batch=179, step=15780, lr=0.134500, batch loss=0.085777, epoch loss=0.250555 Batch=239, step=15840, lr=0.134000, batch loss=0.090032, epoch loss=0.340586 Batch=299, step=15900, lr=0.133750, batch loss=0.035484, epoch loss=0.376070 Batch=359, step=15960, lr=0.133750, batch loss=0.074465, epoch loss=0.450535 Batch=419, step=16020, lr=0.133500, batch loss=0.074225, epoch loss=0.524760 Batch=479, step=16080, lr=0.133250, batch loss=0.052451, epoch loss=0.577211 Batch=539, step=16140, lr=0.132750, batch loss=0.077420, epoch loss=0.654631 Batch=599, step=16200, lr=0.132500, batch loss=0.168552, epoch loss=0.823183 Batch=659, step=16260, lr=0.132250, batch loss=0.096030, epoch loss=0.919213 Batch=719, step=16320, lr=0.132250, batch loss=0.119774, epoch loss=1.038987 Batch=779, step=16380, lr=0.132000, batch loss=0.261733, epoch loss=1.300721 Batch=839, step=16440, lr=0.131500, batch loss=0.086929, epoch loss=1.387649 Batch=899, step=16500, lr=0.131250, batch loss=0.073496, epoch loss=1.461145 Batch=959, step=16560, lr=0.131000, batch loss=0.030202, epoch loss=1.491346 Batch=1019, step=16620, lr=0.131000, batch loss=0.066026, epoch loss=1.557372 Batch=1079, step=16680, lr=0.130500, batch loss=0.045441, epoch loss=1.602813 Batch=1139, step=16740, lr=0.130250, batch loss=0.075694, epoch loss=1.678507 Batch=1199, step=16800, lr=0.130000, batch loss=0.032095, epoch loss=1.710601 Epoch=13, step=16800, lr=0.130000, epoch loss=1.710601 Batch=59, step=16860, lr=0.129750, batch loss=0.034886, epoch loss=0.034886 Batch=119, step=16920, lr=0.129750, batch loss=0.037877, epoch loss=0.072762 Batch=179, step=16980, lr=0.129500, batch loss=0.042077, epoch loss=0.114839 Batch=239, step=17040, lr=0.129000, batch loss=0.056333, epoch loss=0.171172 Batch=299, step=17100, lr=0.128750, batch loss=0.020619, epoch loss=0.191791 Batch=359, step=17160, lr=0.128750, batch loss=0.043570, epoch loss=0.235361 Batch=419, step=17220, lr=0.128250, batch loss=0.068242, epoch loss=0.303603 Batch=479, step=17280, lr=0.128250, batch loss=0.024166, epoch loss=0.327769 Batch=539, step=17340, lr=0.128000, batch loss=0.033057, epoch loss=0.360826 Batch=599, step=17400, lr=0.127500, batch loss=0.034247, epoch loss=0.395074 Batch=659, step=17460, lr=0.127250, batch loss=0.042670, epoch loss=0.437743 Batch=719, step=17520, lr=0.127250, batch loss=0.066610, epoch loss=0.504353 Batch=779, step=17580, lr=0.127000, batch loss=0.122849, epoch loss=0.627202 Batch=839, step=17640, lr=0.126750, batch loss=0.111583, epoch loss=0.738785 Batch=899, step=17700, lr=0.126250, batch loss=0.141479, epoch loss=0.880264 Batch=959, step=17760, lr=0.126000, batch loss=0.018762, epoch loss=0.899027 Batch=1019, step=17820, lr=0.126000, batch loss=0.040645, epoch loss=0.939672 Batch=1079, step=17880, lr=0.125750, batch loss=0.015287, epoch loss=0.954959 Batch=1139, step=17940, lr=0.125500, batch loss=0.047368, epoch loss=1.002328 Batch=1199, step=18000, lr=0.125250, batch loss=0.019896, epoch loss=1.022224 Epoch=14, step=18000, lr=0.125250, epoch loss=1.022224 Batch=59, step=18060, lr=0.124750, batch loss=0.012770, epoch loss=0.012770 Batch=119, step=18120, lr=0.124500, batch loss=0.019082, epoch loss=0.031852 Batch=179, step=18180, lr=0.124250, batch loss=0.028737, epoch loss=0.060590 Batch=239, step=18240, lr=0.124000, batch loss=0.033880, epoch loss=0.094470 Batch=299, step=18300, lr=0.123750, batch loss=0.009314, epoch loss=0.103784 Batch=359, step=18360, lr=0.123500, batch loss=0.024836, epoch loss=0.128620 Batch=419, step=18420, lr=0.123500, batch loss=0.028037, epoch loss=0.156658 Batch=479, step=18480, lr=0.123250, batch loss=0.014891, epoch loss=0.171548 Batch=539, step=18540, lr=0.123000, batch loss=0.020577, epoch loss=0.192126 Batch=599, step=18600, lr=0.122500, batch loss=0.026742, epoch loss=0.218868 Batch=659, step=18660, lr=0.122250, batch loss=0.026693, epoch loss=0.245561 Batch=719, step=18720, lr=0.122000, batch loss=0.047809, epoch loss=0.293370 Batch=779, step=18780, lr=0.121750, batch loss=0.094148, epoch loss=0.387518 Batch=839, step=18840, lr=0.121750, batch loss=0.077661, epoch loss=0.465179 Batch=899, step=18900, lr=0.121500, batch loss=0.095532, epoch loss=0.560710 Batch=959, step=18960, lr=0.121250, batch loss=0.015539, epoch loss=0.576250 Batch=1019, step=19020, lr=0.121000, batch loss=0.025219, epoch loss=0.601469 Batch=1079, step=19080, lr=0.120500, batch loss=0.004652, epoch loss=0.606121 Batch=1139, step=19140, lr=0.120500, batch loss=0.024556, epoch loss=0.630677 Batch=1199, step=19200, lr=0.120250, batch loss=0.011158, epoch loss=0.641835 Epoch=15, step=19200, lr=0.120250, epoch loss=0.641835 Batch=59, step=19260, lr=0.120000, batch loss=0.005160, epoch loss=0.005160 Batch=119, step=19320, lr=0.119750, batch loss=0.012974, epoch loss=0.018134 Batch=179, step=19380, lr=0.119250, batch loss=0.033916, epoch loss=0.052050 Batch=239, step=19440, lr=0.119250, batch loss=0.021517, epoch loss=0.073567 Batch=299, step=19500, lr=0.119000, batch loss=0.004989, epoch loss=0.078556 Batch=359, step=19560, lr=0.118750, batch loss=0.016804, epoch loss=0.095360 Batch=419, step=19620, lr=0.118500, batch loss=0.020039, epoch loss=0.115399 Batch=479, step=19680, lr=0.118000, batch loss=0.007374, epoch loss=0.122773 Batch=539, step=19740, lr=0.118000, batch loss=0.016437, epoch loss=0.139210 Batch=599, step=19800, lr=0.117500, batch loss=0.023861, epoch loss=0.163072 Batch=659, step=19860, lr=0.117500, batch loss=0.020797, epoch loss=0.183868 Batch=719, step=19920, lr=0.117250, batch loss=0.053511, epoch loss=0.237379 Batch=779, step=19980, lr=0.117000, batch loss=0.077486, epoch loss=0.314865 Batch=839, step=20040, lr=0.116500, batch loss=0.030841, epoch loss=0.345706 Batch=899, step=20100, lr=0.116250, batch loss=0.034688, epoch loss=0.380394 Batch=959, step=20160, lr=0.116250, batch loss=0.011490, epoch loss=0.391884 Batch=1019, step=20220, lr=0.116000, batch loss=0.015045, epoch loss=0.406929 Batch=1079, step=20280, lr=0.115500, batch loss=0.001522, epoch loss=0.408452 Batch=1139, step=20340, lr=0.115250, batch loss=0.015134, epoch loss=0.423586 Batch=1199, step=20400, lr=0.115000, batch loss=0.007063, epoch loss=0.430649 Epoch=16, step=20400, lr=0.115000, epoch loss=0.430649 Batch=59, step=20460, lr=0.115000, batch loss=0.003243, epoch loss=0.003243 Batch=119, step=20520, lr=0.114750, batch loss=0.009852, epoch loss=0.013095 Batch=179, step=20580, lr=0.114500, batch loss=0.022203, epoch loss=0.035298 Batch=239, step=20640, lr=0.114000, batch loss=0.017095, epoch loss=0.052393 Batch=299, step=20700, lr=0.113750, batch loss=0.005496, epoch loss=0.057890 Batch=359, step=20760, lr=0.113500, batch loss=0.012816, epoch loss=0.070705 Batch=419, step=20820, lr=0.113250, batch loss=0.016857, epoch loss=0.087562 Batch=479, step=20880, lr=0.113000, batch loss=0.004359, epoch loss=0.091922 Batch=539, step=20940, lr=0.113000, batch loss=0.015355, epoch loss=0.107276 Batch=599, step=21000, lr=0.112500, batch loss=0.018110, epoch loss=0.125386 Batch=659, step=21060, lr=0.112500, batch loss=0.014939, epoch loss=0.140325 Batch=719, step=21120, lr=0.112000, batch loss=0.043176, epoch loss=0.183501 Batch=779, step=21180, lr=0.111750, batch loss=0.061819, epoch loss=0.245320 Batch=839, step=21240, lr=0.111500, batch loss=0.025430, epoch loss=0.270750 Batch=899, step=21300, lr=0.111250, batch loss=0.027184, epoch loss=0.297934 Batch=959, step=21360, lr=0.111000, batch loss=0.009972, epoch loss=0.307906 Batch=1019, step=21420, lr=0.110750, batch loss=0.010727, epoch loss=0.318633 Batch=1079, step=21480, lr=0.110750, batch loss=0.001422, epoch loss=0.320055 Batch=1139, step=21540, lr=0.110500, batch loss=0.012508, epoch loss=0.332563 Batch=1199, step=21600, lr=0.110000, batch loss=0.005050, epoch loss=0.337613 Epoch=17, step=21600, lr=0.110000, epoch loss=0.337613 Batch=59, step=21660, lr=0.109750, batch loss=0.002563, epoch loss=0.002563 Batch=119, step=21720, lr=0.109750, batch loss=0.006294, epoch loss=0.008858 Batch=179, step=21780, lr=0.109500, batch loss=0.012527, epoch loss=0.021384 Batch=239, step=21840, lr=0.109250, batch loss=0.010093, epoch loss=0.031477 Batch=299, step=21900, lr=0.109000, batch loss=0.001622, epoch loss=0.033099 Batch=359, step=21960, lr=0.108750, batch loss=0.010800, epoch loss=0.043899 Batch=419, step=22020, lr=0.108500, batch loss=0.011587, epoch loss=0.055486 Batch=479, step=22080, lr=0.108250, batch loss=0.003043, epoch loss=0.058529 Batch=539, step=22140, lr=0.108000, batch loss=0.018140, epoch loss=0.076669 Batch=599, step=22200, lr=0.107500, batch loss=0.016327, epoch loss=0.092997 Batch=659, step=22260, lr=0.107500, batch loss=0.016047, epoch loss=0.109044 Batch=719, step=22320, lr=0.107250, batch loss=0.023670, epoch loss=0.132714 Batch=779, step=22380, lr=0.107000, batch loss=0.036721, epoch loss=0.169435 Batch=839, step=22440, lr=0.106500, batch loss=0.025728, epoch loss=0.195164 Batch=899, step=22500, lr=0.106500, batch loss=0.026647, epoch loss=0.221811 Batch=959, step=22560, lr=0.106250, batch loss=0.008997, epoch loss=0.230808 Batch=1019, step=22620, lr=0.105750, batch loss=0.010126, epoch loss=0.240934 Batch=1079, step=22680, lr=0.105500, batch loss=0.000596, epoch loss=0.241530 Batch=1139, step=22740, lr=0.105500, batch loss=0.010294, epoch loss=0.251824 Batch=1199, step=22800, lr=0.105000, batch loss=0.004430, epoch loss=0.256254 Epoch=18, step=22800, lr=0.105000, epoch loss=0.256254 Batch=59, step=22860, lr=0.104750, batch loss=0.001547, epoch loss=0.001547 Batch=119, step=22920, lr=0.104500, batch loss=0.005549, epoch loss=0.007096 Batch=179, step=22980, lr=0.104250, batch loss=0.010737, epoch loss=0.017833 Batch=239, step=23040, lr=0.104250, batch loss=0.009464, epoch loss=0.027297 Batch=299, step=23100, lr=0.103750, batch loss=0.008669, epoch loss=0.035966 Batch=359, step=23160, lr=0.103750, batch loss=0.012702, epoch loss=0.048668 Batch=419, step=23220, lr=0.103250, batch loss=0.010693, epoch loss=0.059361 Batch=479, step=23280, lr=0.103250, batch loss=0.002717, epoch loss=0.062078 Batch=539, step=23340, lr=0.102750, batch loss=0.016867, epoch loss=0.078945 Batch=599, step=23400, lr=0.102500, batch loss=0.013769, epoch loss=0.092714 Batch=659, step=23460, lr=0.102250, batch loss=0.011404, epoch loss=0.104118 Batch=719, step=23520, lr=0.102250, batch loss=0.011605, epoch loss=0.115723 Batch=779, step=23580, lr=0.102000, batch loss=0.018196, epoch loss=0.133919 Batch=839, step=23640, lr=0.101750, batch loss=0.028763, epoch loss=0.162682 Batch=899, step=23700, lr=0.101250, batch loss=0.020407, epoch loss=0.183089 Batch=959, step=23760, lr=0.101000, batch loss=0.009765, epoch loss=0.192854 Batch=1019, step=23820, lr=0.100750, batch loss=0.007528, epoch loss=0.200382 Batch=1079, step=23880, lr=0.100500, batch loss=0.000740, epoch loss=0.201122 Batch=1139, step=23940, lr=0.100500, batch loss=0.008981, epoch loss=0.210103 Batch=1199, step=24000, lr=0.100250, batch loss=0.004259, epoch loss=0.214361 Epoch=19, step=24000, lr=0.100250, epoch loss=0.214361 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 20:07.01: Job failed: Failed: Build failed