2025-03-21 13:23.09: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (d63fdf0da2bdea174a1f4139e51107496c5013e8) (linux-x86_64:ubuntu-20.04-5.3_opam-2.3) Base: ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard d63fdf0d cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195 # 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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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 2025-03-21 13:23.09: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195-ubuntu-20.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 13:23.09: Using OBuilder spec: ((from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195) (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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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")) ) 2025-03-21 13:23.09: Waiting for resource in pool OCluster 2025-03-21 13:23.10: Waiting for worker… 2025-03-21 13:25.57: Got resource from pool OCluster Building on clete.caelum.ci.dev All commits already cached HEAD is now at d63fdf0d Expose and test the new unary ops (from ocaml/opam:ubuntu-20.04-ocaml-5.3@sha256:b17e49d15bc5e9c8bb55d8197645b3abbae6798fad8fcc1a8e062a46a94d5195) 2025-03-21 13:25.59 ---> using "d6a86a5fa580a511bc47b9f81c505c664d6b1fdcbe9f7d39069ac2ba53948f98" 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")) 2025-03-21 13:25.59 ---> using "e4c559ecd8860c61f49fce7cdb885f97ef6263360730db125d45927dd3160847" 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 ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 13:25.59 ---> using "9ff49ff109128f81f17ecaa56bc121fa8be57aeb2ced8b0a9487d633ee898d4a" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 13:25.59 ---> using "738c3c1c23d535dbab62f668ede1ce97e62d7c350f7cb276ff4a9c0a6d842a7f" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 13:25.59 ---> using "e976b87820c4a8df89b999905db18252fae5f37ebe74ccfae6ed3810af338a29" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from 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) 2025-03-21 13:25.59 ---> using "708bfcd7071a8861aabd83f4c9f4de21aade0f3b6fd3203c8d7c8c273ca1214e" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 13:25.59 ---> using "f99b047404a4408af9056212933694e107a792c8ffdc61ba9ca8f890d212f0a0" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 13:25.59 ---> using "f04e5dd02b75249ed073437cd46e67a04a373945608b77330c33cc911fc11f65" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 13:25.59 ---> using "00ce7e0a6df838a27038e0d91027f78f1631824545ac48d7ca781f1ae3b49425" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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" - Hit:1 http://archive.ubuntu.com/ubuntu focal InRelease - Get:2 http://archive.ubuntu.com/ubuntu focal-updates InRelease [128 kB] - Get:3 http://archive.ubuntu.com/ubuntu focal-backports InRelease [128 kB] - Get:4 http://security.ubuntu.com/ubuntu focal-security InRelease [128 kB] - Get:5 http://archive.ubuntu.com/ubuntu focal-updates/multiverse amd64 Packages [45.5 kB] - Get:6 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1595 kB] - Get:7 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [4756 kB] - Get:8 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [4638 kB] - Get:9 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [4441 kB] - Get:10 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [1301 kB] - Get:11 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [4269 kB] - Get:12 http://security.ubuntu.com/ubuntu focal-security/multiverse amd64 Packages [42.0 kB] - Fetched 21.5 MB in 3s (6341 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_2024b-0ubuntu0.20.04.1_all.deb ... - Unpacking tzdata (2024b-0ubuntu0.20.04.1) ... - 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-5ubuntu0.20.04.9_amd64.deb ... - Unpacking libxml2:amd64 (2.9.10+dfsg-5ubuntu0.20.04.9) ... - 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 (2024b-0ubuntu0.20.04.1) ... - - Current default time zone: 'Europe/London' - Local time is now: Fri Mar 21 12:41:42 GMT 2025. - Universal Time is now: Fri Mar 21 12:41:42 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-5ubuntu0.20.04.9) ... - Setting up shared-mime-info (1.15-1) ... - Processing triggers for libc-bin (2.31-0ubuntu9.17) ... 2025-03-21 13:25.59 ---> using "946a11d2b8372891e013055a4d2a5ec42c2a479a9d4290d2f0cddba235566559" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - 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 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - 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_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - 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 2.1.0 - 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 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 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 bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (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 integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (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_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 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_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (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 stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed ppx_derivers.1.2.1 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed cppo.1.8.0 -> installed stdlib-shims.0.3.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed ctypes-foreign.0.23.0 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> 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_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> 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) 2025-03-21 13:25.59 ---> using "a7a42f5177ec5c6d9422495f1c4577bf9567c9da05426038f0c1d9b36af2e4d5" from cache /src: (copy (src .) (dst /src)) 2025-03-21 13:25.59 ---> saved as "8f65b1296eeda4d88b7c75b3eea204652b03c8550dcc105d74d5f6fcdd1d18c8" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (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/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/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/4fb07bc8ecaf870734e72844e829f459/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2685a45eebd45c05690e2efe31f2eee7/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/4fb07bc8ecaf870734e72844e829f459/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/4fb07bc8ecaf870734e72844e829f459/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/4fb07bc8ecaf870734e72844e829f459/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/primitive_ops.ml", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/primitive_ops.ml _build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test/primitive_ops.ml.corrected diff --git a/_build/default/test/primitive_ops.ml b/_build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test/primitive_ops.ml.corrected index 18fb8fd..4dd32f4 100644 --- a/_build/default/test/primitive_ops.ml +++ b/_build/.sandbox/4fb07bc8ecaf870734e72844e829f459/default/test/primitive_ops.ml.corrected @@ -534,48 +534,48 @@ let%expect_test "sqrt(x)" = [%expect {| ┌─────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐ - │ inf │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │f │ │ - │( │ │ - │x │ │ - │) │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ 0.00│*************************-*************** ********-******************************* **** *******-****│ + │ 2.23│ #│ + │ │ ##### │ + │ │ ##### │ + │ │ #### │ + │ │ ## ## │ + │ │ ##### │ + │ │ #### │ + │ │ ##### │ + │ │ #### │ + │ │ ## # │ + │ │ # ## │ + │ │ ### │ + │ │* #### │ + │ │ #### │ + │ │ # # │ + │ │ ### │ + │ │ ### │ + │ │ * ### │ + │f │ ## │ + │( │ ### │ + │x │ * ### │ + │) │ ## │ + │ │ * ## │ + │ │ # ## │ + │ │ * ## │ + │ │ * ## │ + │ │ ** # │ + │ │ *# │ + │ │ # ** │ + │ │ ## *** │ + │ │ # * * │ + │ │ # ***** │ + │ │ # ******** │ + │ │ # * ********** │ + │ │# * ************* **** │ + │ │ * ********************* ************ │ + │ │ *****│ + │ │ │ + │ │ │ + │ 0.00│- - - - - - - - - - - - - - - - - - - - │ ├─────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤ - │ │0.00 5.00│ + │ │1.00e-1 5.00│ │ │ x │ └─────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘ |}] @@ -585,7 +585,35 @@ let%expect_test "recip(x)" = let plot_box = plot_unop ~f ~x_min:0.1 ~x_max:5.0 () in PrintBox_text.output Stdio.stdout plot_box; (* FIXME: There's is a bug here in the shape inference. *) - [%expect {||}] + [%expect.unreachable] +[@@expect.uncaught_exn {| + (* CR expect_test_collector: This test expectation appears to contain a backtrace. + This is strongly discouraged as backtraces are fragile. + Please change this test to not include a backtrace. *) + (lib/shape.ml.Shape_error "Too many axes in a subtensor" + ((Row_mismatch + ((dims ()) (bcast Broadcastable) (id ((sh_id 8) (kind Input)))) + ((dims ((Var ((id 166) (label ()))))) + (bcast (Row_var (v (Row_var 167)) (beg_dims ()))) + (id ((sh_id 7) (kind Output))))))) + Raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", line 1087, characters 6-91 + Re-raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", lines 919-1151, characters 31-44 + Called from Ocannl__Row.solve_inequalities.solve.f in file "lib/row.ml", line 1293, characters 32-68 + Called from Base__List0.fold in file "src/list0.ml", line 43, characters 27-37 + Called from Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", line 1323, characters 22-56 + Re-raised at Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", lines 1276-1329, characters 16-25 + Called from Ocannl__Row.solve_inequalities in file "lib/row.ml", line 1332, characters 50-65 + Re-raised at Ocannl__Row.solve_inequalities in file "lib/row.ml", lines 1274-1355, characters 35-44 + Called from Ocannl__Shape.propagate_shapes in file "lib/shape.ml", line 609, characters 20-73 + Re-raised at Ocannl__Shape.propagate_shapes in file "lib/shape.ml", lines 602-612, characters 33-14 + Called from Base__List0.iter in file "src/list0.ml", line 66, characters 4-7 + Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 197, characters 2-57 + Called from Ocannl__Operation.recip.(fun) in file "lib/operation.ml", line 250, characters 53-69 + Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 265, characters 38-65 + Called from Tutorials__Primitive_ops.plot_unop in file "test/primitive_ops.ml", line 32, characters 14-17 + Called from Tutorials__Primitive_ops.(fun) in file "test/primitive_ops.ml", line 585, characters 17-54 + Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28 + |}] let%expect_test "recip_sqrt(x)" = let%op f x = recip_sqrt x in (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 cc, in the config file 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=0.161750, batch loss=0.316728, epoch loss=3.089075 Batch=839, step=9240, lr=0.161750, batch loss=0.287185, epoch loss=3.376260 Batch=899, step=9300, lr=0.161500, batch loss=0.251122, epoch loss=3.627382 Batch=959, step=9360, lr=0.161250, batch loss=0.190417, epoch loss=3.817799 Batch=1019, step=9420, lr=0.161000, batch loss=0.311912, epoch loss=4.129711 Batch=1079, step=9480, lr=0.160750, batch loss=0.191422, epoch loss=4.321133 Batch=1139, step=9540, lr=0.160500, batch loss=0.215867, epoch loss=4.537000 Batch=1199, step=9600, lr=0.160250, batch loss=0.165626, epoch loss=4.702625 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702625 Batch=59, step=9660, lr=0.160000, batch loss=0.197131, epoch loss=0.197131 Batch=119, step=9720, lr=0.159750, batch loss=0.165531, epoch loss=0.362662 Batch=179, step=9780, lr=0.159500, batch loss=0.179297, epoch loss=0.541958 Batch=239, step=9840, lr=0.159250, batch loss=0.263796, epoch loss=0.805755 Batch=299, step=9900, lr=0.159000, batch loss=0.182291, epoch loss=0.988045 Batch=359, step=9960, lr=0.158750, batch loss=0.240753, epoch loss=1.228798 Batch=419, step=10020, lr=0.158500, batch loss=0.233046, epoch loss=1.461844 Batch=479, step=10080, lr=0.158250, batch loss=0.213120, epoch loss=1.674964 Batch=539, step=10140, lr=0.158000, batch loss=0.170777, epoch loss=1.845741 Batch=599, step=10200, lr=0.157750, batch loss=0.200157, epoch loss=2.045898 Batch=659, step=10260, lr=0.157500, batch loss=0.283103, epoch loss=2.329001 Batch=719, step=10320, lr=0.157250, batch loss=0.288671, epoch loss=2.617672 Batch=779, step=10380, lr=0.157000, batch loss=0.296957, epoch loss=2.914629 Batch=839, step=10440, lr=0.156750, batch loss=0.267599, epoch loss=3.182228 Batch=899, step=10500, lr=0.156500, batch loss=0.242794, epoch loss=3.425023 Batch=959, step=10560, lr=0.156250, batch loss=0.198524, epoch loss=3.623547 Batch=1019, step=10620, lr=0.156000, batch loss=0.295304, epoch loss=3.918851 Batch=1079, step=10680, lr=0.155750, batch loss=0.178480, epoch loss=4.097331 Batch=1139, step=10740, lr=0.155500, batch loss=0.205545, epoch loss=4.302876 Batch=1199, step=10800, lr=0.155250, batch loss=0.156117, epoch loss=4.458993 Epoch=8, step=10800, lr=0.155250, epoch loss=4.458993 Batch=59, step=10860, lr=0.154750, batch loss=0.177350, epoch loss=0.177350 Batch=119, step=10920, lr=0.154750, batch loss=0.152377, epoch loss=0.329727 Batch=179, step=10980, lr=0.154500, batch loss=0.167116, epoch loss=0.496843 Batch=239, step=11040, lr=0.154250, batch loss=0.242618, epoch loss=0.739461 Batch=299, step=11100, lr=0.153750, batch loss=0.170000, epoch loss=0.909461 Batch=359, step=11160, lr=0.153750, batch loss=0.221980, epoch loss=1.131440 Batch=419, step=11220, lr=0.153500, batch loss=0.229391, epoch loss=1.360831 Batch=479, step=11280, lr=0.153250, batch loss=0.202757, epoch loss=1.563588 Batch=539, step=11340, lr=0.153000, batch loss=0.159223, epoch loss=1.722811 Batch=599, step=11400, lr=0.152750, batch loss=0.178393, epoch loss=1.901204 Batch=659, step=11460, lr=0.152500, batch loss=0.264816, epoch loss=2.166020 Batch=719, step=11520, lr=0.152250, batch loss=0.256841, epoch loss=2.422861 Batch=779, step=11580, lr=0.152000, batch loss=0.273424, epoch loss=2.696286 Batch=839, step=11640, lr=0.151750, batch loss=0.255693, epoch loss=2.951978 Batch=899, step=11700, lr=0.151500, batch loss=0.213032, epoch loss=3.165011 Batch=959, step=11760, lr=0.151250, batch loss=0.168020, epoch loss=3.333031 Batch=1019, step=11820, lr=0.151000, batch loss=0.266273, epoch loss=3.599304 Batch=1079, step=11880, lr=0.150750, batch loss=0.149553, epoch loss=3.748857 Batch=1139, step=11940, lr=0.150500, batch loss=0.185685, epoch loss=3.934542 Batch=1199, step=12000, lr=0.150250, batch loss=0.139462, epoch loss=4.074004 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074004 Batch=59, step=12060, lr=0.150000, batch loss=0.157954, epoch loss=0.157954 Batch=119, step=12120, lr=0.149750, batch loss=0.128891, epoch loss=0.286845 Batch=179, step=12180, lr=0.149500, batch loss=0.150427, epoch loss=0.437272 Batch=239, step=12240, lr=0.149250, batch loss=0.223203, epoch loss=0.660475 Batch=299, step=12300, lr=0.149000, batch loss=0.142738, epoch loss=0.803213 Batch=359, step=12360, lr=0.148750, batch loss=0.195317, epoch loss=0.998530 Batch=419, step=12420, lr=0.148500, batch loss=0.206334, epoch loss=1.204865 Batch=479, step=12480, lr=0.148250, batch loss=0.178657, epoch loss=1.383521 Batch=539, step=12540, lr=0.148000, batch loss=0.142667, epoch loss=1.526188 Batch=599, step=12600, lr=0.147750, batch loss=0.150392, epoch loss=1.676580 Batch=659, step=12660, lr=0.147500, batch loss=0.224945, epoch loss=1.901525 Batch=719, step=12720, lr=0.147250, batch loss=0.235214, epoch loss=2.136738 Batch=779, step=12780, lr=0.147000, batch loss=0.252780, epoch loss=2.389518 Batch=839, step=12840, lr=0.146750, batch loss=0.224913, epoch loss=2.614431 Batch=899, step=12900, lr=0.146500, batch loss=0.185374, epoch loss=2.799805 Batch=959, step=12960, lr=0.146250, batch loss=0.148825, epoch loss=2.948630 Batch=1019, step=13020, lr=0.146000, batch loss=0.268183, epoch loss=3.216813 Batch=1079, step=13080, lr=0.145750, batch loss=0.115235, epoch loss=3.332048 Batch=1139, step=13140, lr=0.145500, batch loss=0.155468, epoch loss=3.487516 Batch=1199, step=13200, lr=0.145250, batch loss=0.118526, epoch loss=3.606042 Epoch=10, step=13200, lr=0.145250, epoch loss=3.606042 Batch=59, step=13260, lr=0.145000, batch loss=0.143299, epoch loss=0.143299 Batch=119, step=13320, lr=0.144750, batch loss=0.119763, epoch loss=0.263061 Batch=179, step=13380, lr=0.144500, batch loss=0.127200, epoch loss=0.390262 Batch=239, step=13440, lr=0.144250, batch loss=0.186751, epoch loss=0.577013 Batch=299, step=13500, lr=0.144000, batch loss=0.112822, epoch loss=0.689835 Batch=359, step=13560, lr=0.143750, batch loss=0.161536, epoch loss=0.851371 Batch=419, step=13620, lr=0.143500, batch loss=0.160644, epoch loss=1.012016 Batch=479, step=13680, lr=0.143250, batch loss=0.147273, epoch loss=1.159289 Batch=539, step=13740, lr=0.143000, batch loss=0.118112, epoch loss=1.277401 Batch=599, step=13800, lr=0.142750, batch loss=0.119986, epoch loss=1.397388 Batch=659, step=13860, lr=0.142500, batch loss=0.175913, epoch loss=1.573301 Batch=719, step=13920, lr=0.142250, batch loss=0.172492, epoch loss=1.745793 Batch=779, step=13980, lr=0.142000, batch loss=0.178571, epoch loss=1.924364 Batch=839, step=14040, lr=0.141750, batch loss=0.185986, epoch loss=2.110350 Batch=899, step=14100, lr=0.141500, batch loss=0.178380, epoch loss=2.288730 Batch=959, step=14160, lr=0.141250, batch loss=0.145868, epoch loss=2.434598 Batch=1019, step=14220, lr=0.141000, batch loss=0.330475, epoch loss=2.765073 Batch=1079, step=14280, lr=0.140750, batch loss=0.085730, epoch loss=2.850804 Batch=1139, step=14340, lr=0.140500, batch loss=0.120994, epoch loss=2.971798 Batch=1199, step=14400, lr=0.140250, batch loss=0.091310, epoch loss=3.063108 Epoch=11, step=14400, lr=0.140250, epoch loss=3.063108 Batch=59, step=14460, lr=0.140000, batch loss=0.116165, epoch loss=0.116165 Batch=119, step=14520, lr=0.139750, batch loss=0.107744, epoch loss=0.223908 Batch=179, step=14580, lr=0.139500, batch loss=0.107361, epoch loss=0.331269 Batch=239, step=14640, lr=0.139250, batch loss=0.141783, epoch loss=0.473052 Batch=299, step=14700, lr=0.139000, batch loss=0.067423, epoch loss=0.540475 Batch=359, step=14760, lr=0.138750, batch loss=0.110172, epoch loss=0.650648 Batch=419, step=14820, lr=0.138500, batch loss=0.112452, epoch loss=0.763100 Batch=479, step=14880, lr=0.138250, batch loss=0.090953, epoch loss=0.854052 Batch=539, step=14940, lr=0.138000, batch loss=0.089928, epoch loss=0.943980 Batch=599, step=15000, lr=0.137750, batch loss=0.084286, epoch loss=1.028266 Batch=659, step=15060, lr=0.137500, batch loss=0.130384, epoch loss=1.158650 Batch=719, step=15120, lr=0.137000, batch loss=0.184261, epoch loss=1.342911 Batch=779, step=15180, lr=0.137000, batch loss=0.364635, epoch loss=1.707546 Batch=839, step=15240, lr=0.136750, batch loss=0.131787, epoch loss=1.839333 Batch=899, step=15300, lr=0.136500, batch loss=0.108402, epoch loss=1.947734 Batch=959, step=15360, lr=0.136250, batch loss=0.105991, epoch loss=2.053725 Batch=1019, step=15420, lr=0.136000, batch loss=0.190292, epoch loss=2.244017 Batch=1079, step=15480, lr=0.135750, batch loss=0.034055, epoch loss=2.278072 Batch=1139, step=15540, lr=0.135500, batch loss=0.076941, epoch loss=2.355013 Batch=1199, step=15600, lr=0.135250, batch loss=0.050674, epoch loss=2.405688 Epoch=12, step=15600, lr=0.135250, epoch loss=2.405688 Batch=59, step=15660, lr=0.135000, batch loss=0.067870, epoch loss=0.067870 Batch=119, step=15720, lr=0.134750, batch loss=0.076621, epoch loss=0.144491 Batch=179, step=15780, lr=0.134500, batch loss=0.073070, epoch loss=0.217561 Batch=239, step=15840, lr=0.134250, batch loss=0.091658, epoch loss=0.309219 Batch=299, step=15900, lr=0.134000, batch loss=0.062407, epoch loss=0.371627 Batch=359, step=15960, lr=0.133750, batch loss=0.100184, epoch loss=0.471811 Batch=419, step=16020, lr=0.133500, batch loss=0.160927, epoch loss=0.632738 Batch=479, step=16080, lr=0.133250, batch loss=0.048545, epoch loss=0.681283 Batch=539, step=16140, lr=0.133000, batch loss=0.040894, epoch loss=0.722177 Batch=599, step=16200, lr=0.132750, batch loss=0.061941, epoch loss=0.784118 Batch=659, step=16260, lr=0.132500, batch loss=0.086159, epoch loss=0.870277 Batch=719, step=16320, lr=0.132250, batch loss=0.081351, epoch loss=0.951628 Batch=779, step=16380, lr=0.132000, batch loss=0.094510, epoch loss=1.046138 Batch=839, step=16440, lr=0.131750, batch loss=0.147624, epoch loss=1.193761 Batch=899, step=16500, lr=0.131500, batch loss=0.078576, epoch loss=1.272337 Batch=959, step=16560, lr=0.131250, batch loss=0.030249, epoch loss=1.302587 Batch=1019, step=16620, lr=0.131000, batch loss=0.053499, epoch loss=1.356086 Batch=1079, step=16680, lr=0.130750, batch loss=0.093178, epoch loss=1.449264 Batch=1139, step=16740, lr=0.130500, batch loss=0.205318, epoch loss=1.654581 Batch=1199, step=16800, lr=0.130250, batch loss=0.061835, epoch loss=1.716416 Epoch=13, step=16800, lr=0.130250, epoch loss=1.716416 Batch=59, step=16860, lr=0.130000, batch loss=0.038830, epoch loss=0.038830 Batch=119, step=16920, lr=0.129750, batch loss=0.034972, epoch loss=0.073801 Batch=179, step=16980, lr=0.129500, batch loss=0.048129, epoch loss=0.121931 Batch=239, step=17040, lr=0.129250, batch loss=0.065905, epoch loss=0.187835 Batch=299, step=17100, lr=0.129000, batch loss=0.020622, epoch loss=0.208457 Batch=359, step=17160, lr=0.128750, batch loss=0.045696, epoch loss=0.254153 Batch=419, step=17220, lr=0.128500, batch loss=0.048649, epoch loss=0.302802 Batch=479, step=17280, lr=0.128000, batch loss=0.032881, epoch loss=0.335682 Batch=539, step=17340, lr=0.128000, batch loss=0.037156, epoch loss=0.372838 Batch=599, step=17400, lr=0.127750, batch loss=0.079843, epoch loss=0.452681 Batch=659, step=17460, lr=0.127500, batch loss=0.052985, epoch loss=0.505665 Batch=719, step=17520, lr=0.127250, batch loss=0.068656, epoch loss=0.574321 Batch=779, step=17580, lr=0.127000, batch loss=0.120364, epoch loss=0.694686 Batch=839, step=17640, lr=0.126750, batch loss=0.067623, epoch loss=0.762309 Batch=899, step=17700, lr=0.126500, batch loss=0.063108, epoch loss=0.825417 Batch=959, step=17760, lr=0.126250, batch loss=0.026014, epoch loss=0.851431 Batch=1019, step=17820, lr=0.126000, batch loss=0.068788, epoch loss=0.920219 Batch=1079, step=17880, lr=0.125750, batch loss=0.033832, epoch loss=0.954051 Batch=1139, step=17940, lr=0.125500, batch loss=0.062668, epoch loss=1.016719 Batch=1199, step=18000, lr=0.125250, batch loss=0.022184, epoch loss=1.038903 Epoch=14, step=18000, lr=0.125250, epoch loss=1.038903 Batch=59, step=18060, lr=0.125000, batch loss=0.013475, epoch loss=0.013475 Batch=119, step=18120, lr=0.124750, batch loss=0.026516, epoch loss=0.039991 Batch=179, step=18180, lr=0.124250, batch loss=0.066552, epoch loss=0.106543 Batch=239, step=18240, lr=0.124250, batch loss=0.038569, epoch loss=0.145112 Batch=299, step=18300, lr=0.124000, batch loss=0.014932, epoch loss=0.160044 Batch=359, step=18360, lr=0.123750, batch loss=0.041722, epoch loss=0.201767 Batch=419, step=18420, lr=0.123500, batch loss=0.031810, epoch loss=0.233577 Batch=479, step=18480, lr=0.123250, batch loss=0.016794, epoch loss=0.250371 Batch=539, step=18540, lr=0.123000, batch loss=0.021869, epoch loss=0.272240 Batch=599, step=18600, lr=0.122750, batch loss=0.025423, epoch loss=0.297663 Batch=659, step=18660, lr=0.122500, batch loss=0.031452, epoch loss=0.329116 Batch=719, step=18720, lr=0.122250, batch loss=0.025730, epoch loss=0.354846 Batch=779, step=18780, lr=0.122000, batch loss=0.070768, epoch loss=0.425613 Batch=839, step=18840, lr=0.121750, batch loss=0.055326, epoch loss=0.480939 Batch=899, step=18900, lr=0.121500, batch loss=0.054223, epoch loss=0.535161 Batch=959, step=18960, lr=0.121250, batch loss=0.015740, epoch loss=0.550901 Batch=1019, step=19020, lr=0.121000, batch loss=0.029294, epoch loss=0.580196 Batch=1079, step=19080, lr=0.120750, batch loss=0.010214, epoch loss=0.590409 Batch=1139, step=19140, lr=0.120500, batch loss=0.023114, epoch loss=0.613523 Batch=1199, step=19200, lr=0.120250, batch loss=0.009929, epoch loss=0.623452 Epoch=15, step=19200, lr=0.120250, epoch loss=0.623452 Batch=59, step=19260, lr=0.120000, batch loss=0.004565, epoch loss=0.004565 Batch=119, step=19320, lr=0.119750, batch loss=0.019319, epoch loss=0.023884 Batch=179, step=19380, lr=0.119500, batch loss=0.045541, epoch loss=0.069425 Batch=239, step=19440, lr=0.119250, batch loss=0.021129, epoch loss=0.090555 Batch=299, step=19500, lr=0.119000, batch loss=0.005367, epoch loss=0.095921 Batch=359, step=19560, lr=0.118750, batch loss=0.020699, epoch loss=0.116620 Batch=419, step=19620, lr=0.118500, batch loss=0.019666, epoch loss=0.136286 Batch=479, step=19680, lr=0.118250, batch loss=0.006211, epoch loss=0.142497 Batch=539, step=19740, lr=0.118000, batch loss=0.022547, epoch loss=0.165044 Batch=599, step=19800, lr=0.117750, batch loss=0.031364, epoch loss=0.196408 Batch=659, step=19860, lr=0.117500, batch loss=0.016713, epoch loss=0.213121 Batch=719, step=19920, lr=0.117250, batch loss=0.034294, epoch loss=0.247415 Batch=779, step=19980, lr=0.117000, batch loss=0.064999, epoch loss=0.312415 Batch=839, step=20040, lr=0.116750, batch loss=0.032039, epoch loss=0.344453 Batch=899, step=20100, lr=0.116500, batch loss=0.028849, epoch loss=0.373303 Batch=959, step=20160, lr=0.116250, batch loss=0.013456, epoch loss=0.386759 Batch=1019, step=20220, lr=0.116000, batch loss=0.022154, epoch loss=0.408912 Batch=1079, step=20280, lr=0.115750, batch loss=0.004268, epoch loss=0.413180 Batch=1139, step=20340, lr=0.115500, batch loss=0.016189, epoch loss=0.429370 Batch=1199, step=20400, lr=0.115000, batch loss=0.006481, epoch loss=0.435850 Epoch=16, step=20400, lr=0.115000, epoch loss=0.435850 Batch=59, step=20460, lr=0.115000, batch loss=0.003280, epoch loss=0.003280 Batch=119, step=20520, lr=0.114750, batch loss=0.008660, epoch loss=0.011940 Batch=179, step=20580, lr=0.114500, batch loss=0.015065, epoch loss=0.027006 Batch=239, step=20640, lr=0.114250, batch loss=0.013498, epoch loss=0.040504 Batch=299, step=20700, lr=0.114000, batch loss=0.005610, epoch loss=0.046113 Batch=359, step=20760, lr=0.113750, batch loss=0.023268, epoch loss=0.069382 Batch=419, step=20820, lr=0.113500, batch loss=0.016082, epoch loss=0.085464 Batch=479, step=20880, lr=0.113250, batch loss=0.005377, epoch loss=0.090841 Batch=539, step=20940, lr=0.113000, batch loss=0.015834, epoch loss=0.106675 Batch=599, step=21000, lr=0.112750, batch loss=0.019378, epoch loss=0.126053 Batch=659, step=21060, lr=0.112500, batch loss=0.014509, epoch loss=0.140562 Batch=719, step=21120, lr=0.112250, batch loss=0.032238, epoch loss=0.172800 Batch=779, step=21180, lr=0.112000, batch loss=0.052486, epoch loss=0.225286 Batch=839, step=21240, lr=0.111750, batch loss=0.025836, epoch loss=0.251122 Batch=899, step=21300, lr=0.111500, batch loss=0.024644, epoch loss=0.275766 Batch=959, step=21360, lr=0.111250, batch loss=0.014808, epoch loss=0.290574 Batch=1019, step=21420, lr=0.111000, batch loss=0.013193, epoch loss=0.303767 Batch=1079, step=21480, lr=0.110750, batch loss=0.000745, epoch loss=0.304512 Batch=1139, step=21540, lr=0.110500, batch loss=0.012681, epoch loss=0.317193 Batch=1199, step=21600, lr=0.110250, batch loss=0.004511, epoch loss=0.321704 Epoch=17, step=21600, lr=0.110250, epoch loss=0.321704 Batch=59, step=21660, lr=0.110000, batch loss=0.001561, epoch loss=0.001561 Batch=119, step=21720, lr=0.109750, batch loss=0.008264, epoch loss=0.009825 Batch=179, step=21780, lr=0.109500, batch loss=0.022091, epoch loss=0.031916 Batch=239, step=21840, lr=0.109250, batch loss=0.010929, epoch loss=0.042845 Batch=299, step=21900, lr=0.109000, batch loss=0.003112, epoch loss=0.045957 Batch=359, step=21960, lr=0.108750, batch loss=0.014376, epoch loss=0.060332 Batch=419, step=22020, lr=0.108500, batch loss=0.012326, epoch loss=0.072658 Batch=479, step=22080, lr=0.108250, batch loss=0.002808, epoch loss=0.075466 Batch=539, step=22140, lr=0.108000, batch loss=0.018019, epoch loss=0.093486 Batch=599, step=22200, lr=0.107750, batch loss=0.015487, epoch loss=0.108972 Batch=659, step=22260, lr=0.107500, batch loss=0.011397, epoch loss=0.120369 Batch=719, step=22320, lr=0.107250, batch loss=0.018324, epoch loss=0.138694 Batch=779, step=22380, lr=0.107000, batch loss=0.024584, epoch loss=0.163278 Batch=839, step=22440, lr=0.106750, batch loss=0.026698, epoch loss=0.189976 Batch=899, step=22500, lr=0.106500, batch loss=0.026341, epoch loss=0.216317 Batch=959, step=22560, lr=0.106250, batch loss=0.009041, epoch loss=0.225358 Batch=1019, step=22620, lr=0.106000, batch loss=0.009106, epoch loss=0.234464 Batch=1079, step=22680, lr=0.105750, batch loss=0.001962, epoch loss=0.236426 Batch=1139, step=22740, lr=0.105500, batch loss=0.010680, epoch loss=0.247107 Batch=1199, step=22800, lr=0.105250, batch loss=0.004824, epoch loss=0.251931 Epoch=18, step=22800, lr=0.105250, epoch loss=0.251931 Batch=59, step=22860, lr=0.105000, batch loss=0.001866, epoch loss=0.001866 Batch=119, step=22920, lr=0.104750, batch loss=0.005603, epoch loss=0.007470 Batch=179, step=22980, lr=0.104250, batch loss=0.010956, epoch loss=0.018425 Batch=239, step=23040, lr=0.104250, batch loss=0.011796, epoch loss=0.030221 Batch=299, step=23100, lr=0.104000, batch loss=0.008328, epoch loss=0.038550 Batch=359, step=23160, lr=0.103750, batch loss=0.011288, epoch loss=0.049838 Batch=419, step=23220, lr=0.103500, batch loss=0.010813, epoch loss=0.060651 Batch=479, step=23280, lr=0.103250, batch loss=0.002387, epoch loss=0.063037 Batch=539, step=23340, lr=0.103000, batch loss=0.016834, epoch loss=0.079871 Batch=599, step=23400, lr=0.102750, batch loss=0.013790, epoch loss=0.093661 Batch=659, step=23460, lr=0.102500, batch loss=0.010639, epoch loss=0.104300 Batch=719, step=23520, lr=0.102250, batch loss=0.015191, epoch loss=0.119491 Batch=779, step=23580, lr=0.102000, batch loss=0.022004, epoch loss=0.141495 Batch=839, step=23640, lr=0.101750, batch loss=0.025070, epoch loss=0.166565 Batch=899, step=23700, lr=0.101500, batch loss=0.023867, epoch loss=0.190432 Batch=959, step=23760, lr=0.101250, batch loss=0.008832, epoch loss=0.199265 Batch=1019, step=23820, lr=0.101000, batch loss=0.008000, epoch loss=0.207264 Batch=1079, step=23880, lr=0.100750, batch loss=0.000517, epoch loss=0.207781 Batch=1139, step=23940, lr=0.100500, batch loss=0.009697, epoch loss=0.217478 Batch=1199, step=24000, lr=0.100250, batch loss=0.004786, epoch loss=0.222264 Epoch=19, step=24000, lr=0.100250, epoch loss=0.222264 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 2025-03-21 13:26.31: Job failed: Failed: Build failed