2025-06-13 17:13.59: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (4a291573c46f63d3f21f1d56bc89e6d1bd40fe85) (linux-x86_64:fedora-41-5.3_opam-2.3) Base: ocaml/opam:fedora-41-ocaml-5.3@sha256:146713442ed5c2eb4e9d95547da36a8643e814340597351b96fb871f2855c3b7 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 4a291573 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:fedora-41-ocaml-5.3@sha256:146713442ed5c2eb4e9d95547da36a8643e814340597351b96fb871f2855c3b7 # fedora-41-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo dnf install -y findutils 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 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 || git fetch origin master) && git reset -q --hard 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 && 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.v0.17.3 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.3.19.1 dune-configurator.3.19.1 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.4.0.1 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 2025-06-13 17:13.59: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:146713442ed5c2eb4e9d95547da36a8643e814340597351b96fb871f2855c3b7-fedora-41-5.3_opam-2.3-47205dcdf67be5146e41cc1eb1d39162" 2025-06-13 17:13.59: Using OBuilder spec: ((from ocaml/opam:fedora-41-ocaml-5.3@sha256:146713442ed5c2eb4e9d95547da36a8643e814340597351b96fb871f2855c3b7) (comment fedora-41-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (network host) (shell "sudo dnf install -y findutils")) (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 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 || git fetch origin master) && git reset -q --hard 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 && 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.v0.17.3 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.3.19.1 dune-configurator.3.19.1 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.4.0.1 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")) ) 2025-06-13 17:13.59: Waiting for resource in pool OCluster 2025-06-13 17:13.59: Waiting for worker… 2025-06-13 17:13.59: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 4a291573 Convolutions clarification and a bit of formatting (from ocaml/opam:fedora-41-ocaml-5.3@sha256:146713442ed5c2eb4e9d95547da36a8643e814340597351b96fb871f2855c3b7) 2025-06-13 17:14.00 ---> using "6885aab87f4fe22185c8b8094f735035f681f36e522db31f68b1c3410c45c8dc" from cache /: (comment fedora-41-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (network host) (shell "sudo dnf install -y findutils")) Updating and loading repositories: Fedora 41 - x86_64 - Updates 100% | 177.1 KiB/s | 24.6 KiB | 00m00s Fedora 41 - x86_64 - Updates 100% | 2.5 MiB/s | 3.6 MiB | 00m01s Repositories loaded. Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed. Nothing to do. 2025-06-13 17:14.00 ---> using "be913ffc0559d1f9061ab7a5a14cead2760cef4759fb2f507009e508be9d1904" from cache /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-06-13 17:14.00 ---> using "06b698498e5a5e5c62763942374272aaa9f8ccb14dba2ca9a6ee215e79a511a7" 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 Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-06-13 17:14.00 ---> using "2ab33c3e3494a4a312bd0b70e17e60f5891afea9b3bc06c2dfbf6b765ac5d2d7" 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 2025-06-13 17:14.00 ---> using "a10b4865dcd3eb52b5cd422f7f390da13f120a6bc87cf8de5f3c86eae9dd43d0" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-06-13 17:14.00 ---> using "b54fc704a579008027213d2076ec99cf59bb09f2216bd0f1b7c5760bec3a4607" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 || git fetch origin master) && git reset -q --hard 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD bc726805e3..59e7a58f9d master -> origin/master 59e7a58f9d Merge pull request #28012 from dkalinichenko-js/opam-publish-base.v0.17.3 <><> 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) 2025-06-13 17:14.00 ---> using "5d3cc7dab17832f2f3c0c52072e859666fa7380ed090b09a9ea9e0ae0a46b364" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-06-13 17:14.00 ---> saved as "c6f22763c3346d6a14d81b3f79ceeac3892fcc4aac9cdf89a315167b20f9d419" /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) 2025-06-13 17:14.02 ---> saved as "e2257b457f627e0265f5657a7643cb165136a6e4f2ca5b233ca8dabe9175eaf0" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-06-13 17:14.02 ---> saved as "f6b582c7586b7d56df464d268768ea668e9bff2957e3ce775d6f3a05af59cf21" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.3 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.3.19.1 dune-configurator.3.19.1 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.4.0.1 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 "yum" "makecache" - Updating and loading repositories: - Fedora 41 - x86_64 - Updates 100% | 101.0 KiB/s | 24.1 KiB | 00m00s - Fedora 41 - x86_64 - Updates 100% | 3.0 MiB/s | 3.0 MiB | 00m01s - Repositories loaded. - Metadata cache created. <><> 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-devel <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "yum" "install" "-y" "libffi-devel" - Updating and loading repositories: - Repositories loaded. - Package Arch Version Repository Size - Installing: - libffi-devel x86_64 3.4.6-3.fc41 fedora 33.1 KiB - - Transaction Summary: - Installing: 1 package - - Total size of inbound packages is 29 KiB. Need to download 29 KiB. - After this operation, 33 KiB extra will be used (install 33 KiB, remove 0 B). - [1/1] libffi-devel-0:3.4.6-3.fc41.x86_6 100% | 248.0 KiB/s | 28.8 KiB | 00m00s - -------------------------------------------------------------------------------- - [1/1] Total 100% | 113.7 KiB/s | 28.8 KiB | 00m00s - Running transaction - [1/3] Verify package files 100% | 0.0 B/s | 1.0 B | 00m00s - [2/3] Prepare transaction 100% | 29.0 B/s | 1.0 B | 00m00s - [3/3] Installing libffi-devel-0:3.4.6-3 100% | 535.3 KiB/s | 34.8 KiB | 00m00s - Complete! + /usr/bin/rpm "-q" "--whatprovides" "libffi-devel" - libffi-devel-3.4.6-3.fc41.x86_64 2025-06-13 17:14.20 ---> saved as "84ff07f50c8f8b1ff31078d8309df25de306b3e1954c280038f5fcfef748c772" /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 v0.17.3 - 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 3.19.1 - install dune-configurator 3.19.1 - 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 4.0.1 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved base.v0.17.3 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (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 fmt.0.10.0 (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.4.0.1 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved dune.3.19.1, dune-configurator.3.19.1 (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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.1 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> 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 cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.19.1 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> 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.v0.17.3 -> installed variantslib.v0.17.0 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed stdio.v0.17.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed 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_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-06-13 17:15.44 ---> saved as "468489c9ba0ae4b37ecbd6dd33a55d70b23aa2772a27eec9e1c5c0c8d36bd950" /src: (copy (src .) (dst /src)) 2025-06-13 17:15.45 ---> saved as "6febc5c3bbf9854dc98c01ea3417bb33ec5e5cd8beaf19d7387a80b12a44d68e" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) File "arrayjit/test/dune", line 6, characters 7-15: 6 | (pps ppx_jane))) ^^^^^^^^ Error: Library "ppx_jane" not found. -> required by _build/default/arrayjit/test/.merlin-conf/exe-test_numerical_types -> required by alias arrayjit/test/check (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 File "test/test_print_style.expected", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/test_print_style.expected _build/default/test/test_print_style.output diff --git a/_build/default/test/test_print_style.expected b/_build/default/test/test_print_style.output index 83b0c23..c55c8ad 100644 --- a/_build/default/test/test_print_style.expected +++ b/_build/default/test/test_print_style.output @@ -1,5 +1,5 @@ -Welcome to OCANNL! Reading configuration defaults from /Users/lukstafi/ocannl/_build/default/test/ocannl_config. +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 Testing print_style functionality: @@ -7,28 +7,24 @@ Testing print_style functionality: === Testing solved_dim_to_string === Full attributes (d=28, padding=2, label=height, proj_id): Only_labels: height - Axis_size: height=28+2 - Axis_number_and_size: height=28+2 - Projection_and_size: height=28+2 + Axis_size: height=28 + Axis_number_and_size: height=28 + Projection_and_size: height=28 Minimal attributes (d=64, no padding, no label, no proj_id): Only_labels: _ Axis_size: 64 Projection_and_size: 64 -With padding only (d=32, padding=3, label=width, no proj_id): - Axis_size: width=32+3 - Projection_and_size: width=32+3 - With projection (d=32, label=width, proj_id): Axis_size: width=32 - Projection_and_size: width=32[p1] + Projection_and_size: width=32p1 === Testing dim_to_string === Solved dimensions: Only_labels (full): height - Axis_size (full): height=28+2 - Projection_and_size (full): height=28+2 + Axis_size (full): height=28 + Projection_and_size (full): height=28 Only_labels (minimal): _ Axis_size (minimal): 64 (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/76dd0f523e6c570edd12ec5b730724a6/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/76dd0f523e6c570edd12ec5b730724a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/76dd0f523e6c570edd12ec5b730724a6/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/76dd0f523e6c570edd12ec5b730724a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/76dd0f523e6c570edd12ec5b730724a6/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/84c92e1d9ca0337e46573e4aebf554dc/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76dd0f523e6c570edd12ec5b730724a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/76dd0f523e6c570edd12ec5b730724a6/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/76dd0f523e6c570edd12ec5b730724a6/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/76dd0f523e6c570edd12ec5b730724a6/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/76dd0f523e6c570edd12ec5b730724a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/76dd0f523e6c570edd12ec5b730724a6/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/76dd0f523e6c570edd12ec5b730724a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/76dd0f523e6c570edd12ec5b730724a6/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/76dd0f523e6c570edd12ec5b730724a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/76dd0f523e6c570edd12ec5b730724a6/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/76dd0f523e6c570edd12ec5b730724a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/76dd0f523e6c570edd12ec5b730724a6/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/76dd0f523e6c570edd12ec5b730724a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/76dd0f523e6c570edd12ec5b730724a6/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/76dd0f523e6c570edd12ec5b730724a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169000, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200785, epoch loss=1.105201 Batch=359, step=7560, lr=0.168750, batch loss=0.258479, epoch loss=1.363680 Batch=419, step=7620, lr=0.168500, batch loss=0.256779, epoch loss=1.620459 Batch=479, step=7680, lr=0.168250, batch loss=0.236032, epoch loss=1.856491 Batch=539, step=7740, lr=0.168000, batch loss=0.187851, epoch loss=2.044342 Batch=599, step=7800, lr=0.167750, batch loss=0.223964, epoch loss=2.268307 Batch=659, step=7860, lr=0.167500, batch loss=0.305897, epoch loss=2.574204 Batch=719, step=7920, lr=0.167250, batch loss=0.309335, epoch loss=2.883538 Batch=779, step=7980, lr=0.167000, batch loss=0.329909, epoch loss=3.213447 Batch=839, step=8040, lr=0.166750, batch loss=0.292452, epoch loss=3.505899 Batch=899, step=8100, lr=0.166500, batch loss=0.261749, epoch loss=3.767648 Batch=959, step=8160, lr=0.166250, batch loss=0.193348, epoch loss=3.960996 Batch=1019, step=8220, lr=0.166000, batch loss=0.313960, epoch loss=4.274956 Batch=1079, step=8280, lr=0.165750, batch loss=0.172153, epoch loss=4.447109 Batch=1139, step=8340, lr=0.165500, batch loss=0.209721, epoch loss=4.656829 Batch=1199, step=8400, lr=0.165250, batch loss=0.178248, epoch loss=4.835077 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835077 Batch=59, step=8460, lr=0.165000, batch loss=0.229782, epoch loss=0.229782 Batch=119, step=8520, lr=0.164750, batch loss=0.174986, epoch loss=0.404768 Batch=179, step=8580, lr=0.164500, batch loss=0.187813, epoch loss=0.592582 Batch=239, step=8640, lr=0.164250, batch loss=0.278231, epoch loss=0.870813 Batch=299, step=8700, lr=0.164000, batch loss=0.191942, epoch loss=1.062754 Batch=359, step=8760, lr=0.163750, batch loss=0.248678, epoch loss=1.311432 Batch=419, step=8820, lr=0.163500, batch loss=0.245568, epoch loss=1.557001 Batch=479, step=8880, lr=0.163250, batch loss=0.228628, epoch loss=1.785628 Batch=539, step=8940, lr=0.163000, batch loss=0.178087, epoch loss=1.963715 Batch=599, step=9000, lr=0.162750, batch loss=0.217434, epoch loss=2.181149 Batch=659, step=9060, lr=0.162500, batch loss=0.294794, epoch loss=2.475943 Batch=719, step=9120, lr=0.162250, batch loss=0.296482, epoch loss=2.772425 Batch=779, step=9180, lr=0.162000, batch loss=0.316685, epoch loss=3.089110 Batch=839, step=9240, lr=0.161750, batch loss=0.287280, epoch loss=3.376390 Batch=899, step=9300, lr=0.161250, batch loss=0.251030, epoch loss=3.627420 Batch=959, step=9360, lr=0.161250, batch loss=0.190517, epoch loss=3.817937 Batch=1019, step=9420, lr=0.161000, batch loss=0.311760, epoch loss=4.129697 Batch=1079, step=9480, lr=0.160750, batch loss=0.191566, epoch loss=4.321263 Batch=1139, step=9540, lr=0.160500, batch loss=0.215788, epoch loss=4.537051 Batch=1199, step=9600, lr=0.160250, batch loss=0.165622, epoch loss=4.702673 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702673 Batch=59, step=9660, lr=0.160000, batch loss=0.197207, epoch loss=0.197207 Batch=119, step=9720, lr=0.159750, batch loss=0.165479, epoch loss=0.362685 Batch=179, step=9780, lr=0.159500, batch loss=0.179292, epoch loss=0.541977 Batch=239, step=9840, lr=0.159250, batch loss=0.263837, epoch loss=0.805814 Batch=299, step=9900, lr=0.159000, batch loss=0.182202, epoch loss=0.988016 Batch=359, step=9960, lr=0.158750, batch loss=0.240834, epoch loss=1.228850 Batch=419, step=10020, lr=0.158500, batch loss=0.232992, epoch loss=1.461843 Batch=479, step=10080, lr=0.158250, batch loss=0.213185, epoch loss=1.675028 Batch=539, step=10140, lr=0.157750, batch loss=0.170583, epoch loss=1.845611 Batch=599, step=10200, lr=0.157750, batch loss=0.200139, epoch loss=2.045750 Batch=659, step=10260, lr=0.157250, batch loss=0.283122, epoch loss=2.328871 Batch=719, step=10320, lr=0.157250, batch loss=0.279547, epoch loss=2.608418 Batch=779, step=10380, lr=0.157000, batch loss=0.300920, epoch loss=2.909338 Batch=839, step=10440, lr=0.156750, batch loss=0.270894, epoch loss=3.180232 Batch=899, step=10500, lr=0.156500, batch loss=0.240052, epoch loss=3.420284 Batch=959, step=10560, lr=0.156250, batch loss=0.197520, epoch loss=3.617804 Batch=1019, step=10620, lr=0.156000, batch loss=0.282299, epoch loss=3.900103 Batch=1079, step=10680, lr=0.155750, batch loss=0.172202, epoch loss=4.072304 Batch=1139, step=10740, lr=0.155500, batch loss=0.201849, epoch loss=4.274154 Batch=1199, step=10800, lr=0.155250, batch loss=0.153791, epoch loss=4.427945 Epoch=8, step=10800, lr=0.155250, epoch loss=4.427945 Batch=59, step=10860, lr=0.155000, batch loss=0.182658, epoch loss=0.182658 Batch=119, step=10920, lr=0.154750, batch loss=0.154612, epoch loss=0.337271 Batch=179, step=10980, lr=0.154500, batch loss=0.167705, epoch loss=0.504975 Batch=239, step=11040, lr=0.154250, batch loss=0.246074, epoch loss=0.751049 Batch=299, step=11100, lr=0.154000, batch loss=0.162070, epoch loss=0.913119 Batch=359, step=11160, lr=0.153750, batch loss=0.227314, epoch loss=1.140432 Batch=419, step=11220, lr=0.153500, batch loss=0.227046, epoch loss=1.367478 Batch=479, step=11280, lr=0.153250, batch loss=0.203848, epoch loss=1.571326 Batch=539, step=11340, lr=0.153000, batch loss=0.157677, epoch loss=1.729004 Batch=599, step=11400, lr=0.152750, batch loss=0.179892, epoch loss=1.908895 Batch=659, step=11460, lr=0.152500, batch loss=0.263685, epoch loss=2.172580 Batch=719, step=11520, lr=0.152250, batch loss=0.260654, epoch loss=2.433234 Batch=779, step=11580, lr=0.152000, batch loss=0.269980, epoch loss=2.703214 Batch=839, step=11640, lr=0.151750, batch loss=0.250414, epoch loss=2.953628 Batch=899, step=11700, lr=0.151500, batch loss=0.216686, epoch loss=3.170315 Batch=959, step=11760, lr=0.151250, batch loss=0.173332, epoch loss=3.343646 Batch=1019, step=11820, lr=0.151000, batch loss=0.260359, epoch loss=3.604005 Batch=1079, step=11880, lr=0.150750, batch loss=0.146510, epoch loss=3.750516 Batch=1139, step=11940, lr=0.150500, batch loss=0.180887, epoch loss=3.931403 Batch=1199, step=12000, lr=0.150250, batch loss=0.139351, epoch loss=4.070753 Epoch=9, step=12000, lr=0.150250, epoch loss=4.070753 Batch=59, step=12060, lr=0.150000, batch loss=0.160043, epoch loss=0.160043 Batch=119, step=12120, lr=0.149750, batch loss=0.137221, epoch loss=0.297264 Batch=179, step=12180, lr=0.149500, batch loss=0.151256, epoch loss=0.448520 Batch=239, step=12240, lr=0.149250, batch loss=0.219177, epoch loss=0.667697 Batch=299, step=12300, lr=0.149000, batch loss=0.142928, epoch loss=0.810625 Batch=359, step=12360, lr=0.148750, batch loss=0.195637, epoch loss=1.006262 Batch=419, step=12420, lr=0.148500, batch loss=0.208238, epoch loss=1.214500 Batch=479, step=12480, lr=0.148250, batch loss=0.176449, epoch loss=1.390948 Batch=539, step=12540, lr=0.148000, batch loss=0.143438, epoch loss=1.534387 Batch=599, step=12600, lr=0.147750, batch loss=0.147730, epoch loss=1.682117 Batch=659, step=12660, lr=0.147500, batch loss=0.218462, epoch loss=1.900579 Batch=719, step=12720, lr=0.147250, batch loss=0.214498, epoch loss=2.115077 Batch=779, step=12780, lr=0.147000, batch loss=0.235203, epoch loss=2.350279 Batch=839, step=12840, lr=0.146750, batch loss=0.228578, epoch loss=2.578857 Batch=899, step=12900, lr=0.146500, batch loss=0.202620, epoch loss=2.781477 Batch=959, step=12960, lr=0.146250, batch loss=0.149106, epoch loss=2.930583 Batch=1019, step=13020, lr=0.146000, batch loss=0.267997, epoch loss=3.198580 Batch=1079, step=13080, lr=0.145750, batch loss=0.115469, epoch loss=3.314049 Batch=1139, step=13140, lr=0.145500, batch loss=0.154288, epoch loss=3.468337 Batch=1199, step=13200, lr=0.145250, batch loss=0.117714, epoch loss=3.586051 Epoch=10, step=13200, lr=0.145250, epoch loss=3.586051 Batch=59, step=13260, lr=0.145000, batch loss=0.143465, epoch loss=0.143465 Batch=119, step=13320, lr=0.144750, batch loss=0.125070, epoch loss=0.268534 Batch=179, step=13380, lr=0.144500, batch loss=0.129771, epoch loss=0.398306 Batch=239, step=13440, lr=0.144250, batch loss=0.191453, epoch loss=0.589759 Batch=299, step=13500, lr=0.144000, batch loss=0.116932, epoch loss=0.706691 Batch=359, step=13560, lr=0.143750, batch loss=0.163793, epoch loss=0.870485 Batch=419, step=13620, lr=0.143500, batch loss=0.160913, epoch loss=1.031398 Batch=479, step=13680, lr=0.143250, batch loss=0.143917, epoch loss=1.175314 Batch=539, step=13740, lr=0.143000, batch loss=0.119361, epoch loss=1.294676 Batch=599, step=13800, lr=0.142750, batch loss=0.119007, epoch loss=1.413682 Batch=659, step=13860, lr=0.142500, batch loss=0.175283, epoch loss=1.588965 Batch=719, step=13920, lr=0.142250, batch loss=0.176543, epoch loss=1.765508 Batch=779, step=13980, lr=0.142000, batch loss=0.196210, epoch loss=1.961719 Batch=839, step=14040, lr=0.141750, batch loss=0.186434, epoch loss=2.148152 Batch=899, step=14100, lr=0.141500, batch loss=0.156665, epoch loss=2.304818 Batch=959, step=14160, lr=0.141250, batch loss=0.134088, epoch loss=2.438906 Batch=1019, step=14220, lr=0.141000, batch loss=0.297529, epoch loss=2.736435 Batch=1079, step=14280, lr=0.140750, batch loss=0.087241, epoch loss=2.823675 Batch=1139, step=14340, lr=0.140500, batch loss=0.131555, epoch loss=2.955231 Batch=1199, step=14400, lr=0.140250, batch loss=0.094209, epoch loss=3.049440 Epoch=11, step=14400, lr=0.140250, epoch loss=3.049440 Batch=59, step=14460, lr=0.140000, batch loss=0.116247, epoch loss=0.116247 Batch=119, step=14520, lr=0.139750, batch loss=0.107406, epoch loss=0.223653 Batch=179, step=14580, lr=0.139500, batch loss=0.105072, epoch loss=0.328725 Batch=239, step=14640, lr=0.139250, batch loss=0.138590, epoch loss=0.467315 Batch=299, step=14700, lr=0.139000, batch loss=0.080191, epoch loss=0.547506 Batch=359, step=14760, lr=0.138750, batch loss=0.124564, epoch loss=0.672071 Batch=419, step=14820, lr=0.138500, batch loss=0.127133, epoch loss=0.799203 Batch=479, step=14880, lr=0.138250, batch loss=0.101822, epoch loss=0.901026 Batch=539, step=14940, lr=0.138000, batch loss=0.106884, epoch loss=1.007910 Batch=599, step=15000, lr=0.137750, batch loss=0.085455, epoch loss=1.093365 Batch=659, step=15060, lr=0.137500, batch loss=0.128995, epoch loss=1.222360 Batch=719, step=15120, lr=0.137250, batch loss=0.117402, epoch loss=1.339762 Batch=779, step=15180, lr=0.137000, batch loss=0.119653, epoch loss=1.459414 Batch=839, step=15240, lr=0.136750, batch loss=0.164610, epoch loss=1.624025 Batch=899, step=15300, lr=0.136500, batch loss=0.275508, epoch loss=1.899533 Batch=959, step=15360, lr=0.136250, batch loss=0.067328, epoch loss=1.966861 Batch=1019, step=15420, lr=0.136000, batch loss=0.156376, epoch loss=2.123236 Batch=1079, step=15480, lr=0.135750, batch loss=0.034741, epoch loss=2.157978 Batch=1139, step=15540, lr=0.135500, batch loss=0.080499, epoch loss=2.238477 Batch=1199, step=15600, lr=0.135250, batch loss=0.051867, epoch loss=2.290344 Epoch=12, step=15600, lr=0.135250, epoch loss=2.290344 Batch=59, step=15660, lr=0.135000, batch loss=0.076648, epoch loss=0.076648 Batch=119, step=15720, lr=0.134750, batch loss=0.113273, epoch loss=0.189921 Batch=179, step=15780, lr=0.134500, batch loss=0.089024, epoch loss=0.278945 Batch=239, step=15840, lr=0.134250, batch loss=0.093273, epoch loss=0.372218 Batch=299, step=15900, lr=0.134000, batch loss=0.040213, epoch loss=0.412430 Batch=359, step=15960, lr=0.133750, batch loss=0.080995, epoch loss=0.493425 Batch=419, step=16020, lr=0.133500, batch loss=0.078129, epoch loss=0.571554 Batch=479, step=16080, lr=0.133250, batch loss=0.062776, epoch loss=0.634330 Batch=539, step=16140, lr=0.133000, batch loss=0.061206, epoch loss=0.695536 Batch=599, step=16200, lr=0.132750, batch loss=0.135633, epoch loss=0.831169 Batch=659, step=16260, lr=0.132500, batch loss=0.086148, epoch loss=0.917317 Batch=719, step=16320, lr=0.132250, batch loss=0.133173, epoch loss=1.050490 Batch=779, step=16380, lr=0.132000, batch loss=0.332096, epoch loss=1.382586 Batch=839, step=16440, lr=0.131750, batch loss=0.094970, epoch loss=1.477556 Batch=899, step=16500, lr=0.131500, batch loss=0.080513, epoch loss=1.558069 Batch=959, step=16560, lr=0.131250, batch loss=0.032046, epoch loss=1.590116 Batch=1019, step=16620, lr=0.131000, batch loss=0.066171, epoch loss=1.656287 Batch=1079, step=16680, lr=0.130750, batch loss=0.049777, epoch loss=1.706064 Batch=1139, step=16740, lr=0.130500, batch loss=0.082746, epoch loss=1.788810 Batch=1199, step=16800, lr=0.130250, batch loss=0.039931, epoch loss=1.828741 Epoch=13, step=16800, lr=0.130250, epoch loss=1.828741 Batch=59, step=16860, lr=0.130000, batch loss=0.032431, epoch loss=0.032431 Batch=119, step=16920, lr=0.129750, batch loss=0.033535, epoch loss=0.065966 Batch=179, step=16980, lr=0.129500, batch loss=0.042936, epoch loss=0.108903 Batch=239, step=17040, lr=0.129250, batch loss=0.058674, epoch loss=0.167577 Batch=299, step=17100, lr=0.128750, batch loss=0.020202, epoch loss=0.187779 Batch=359, step=17160, lr=0.128750, batch loss=0.042169, epoch loss=0.229948 Batch=419, step=17220, lr=0.128500, batch loss=0.051825, epoch loss=0.281773 Batch=479, step=17280, lr=0.128250, batch loss=0.038407, epoch loss=0.320180 Batch=539, step=17340, lr=0.128000, batch loss=0.085850, epoch loss=0.406030 Batch=599, step=17400, lr=0.127750, batch loss=0.040272, epoch loss=0.446303 Batch=659, step=17460, lr=0.127500, batch loss=0.049318, epoch loss=0.495621 Batch=719, step=17520, lr=0.127250, batch loss=0.038947, epoch loss=0.534567 Batch=779, step=17580, lr=0.127000, batch loss=0.042531, epoch loss=0.577098 Batch=839, step=17640, lr=0.126750, batch loss=0.072648, epoch loss=0.649746 Batch=899, step=17700, lr=0.126500, batch loss=0.103643, epoch loss=0.753389 Batch=959, step=17760, lr=0.126250, batch loss=0.046917, epoch loss=0.800307 Batch=1019, step=17820, lr=0.126000, batch loss=0.104593, epoch loss=0.904899 Batch=1079, step=17880, lr=0.125750, batch loss=0.013970, epoch loss=0.918869 Batch=1139, step=17940, lr=0.125500, batch loss=0.032296, epoch loss=0.951165 Batch=1199, step=18000, lr=0.125250, batch loss=0.015935, epoch loss=0.967100 Epoch=14, step=18000, lr=0.125250, epoch loss=0.967100 Batch=59, step=18060, lr=0.125000, batch loss=0.013635, epoch loss=0.013635 Batch=119, step=18120, lr=0.124750, batch loss=0.029916, epoch loss=0.043551 Batch=179, step=18180, lr=0.124500, batch loss=0.074748, epoch loss=0.118299 Batch=239, step=18240, lr=0.124250, batch loss=0.039225, epoch loss=0.157525 Batch=299, step=18300, lr=0.124000, batch loss=0.013623, epoch loss=0.171147 Batch=359, step=18360, lr=0.123750, batch loss=0.034960, epoch loss=0.206108 Batch=419, step=18420, lr=0.123500, batch loss=0.029197, epoch loss=0.235305 Batch=479, step=18480, lr=0.123250, batch loss=0.012467, epoch loss=0.247772 Batch=539, step=18540, lr=0.123000, batch loss=0.021199, epoch loss=0.268971 Batch=599, step=18600, lr=0.122750, batch loss=0.025205, epoch loss=0.294176 Batch=659, step=18660, lr=0.122500, batch loss=0.028687, epoch loss=0.322864 Batch=719, step=18720, lr=0.122250, batch loss=0.031655, epoch loss=0.354519 Batch=779, step=18780, lr=0.122000, batch loss=0.069329, epoch loss=0.423848 Batch=839, step=18840, lr=0.121750, batch loss=0.046527, epoch loss=0.470375 Batch=899, step=18900, lr=0.121500, batch loss=0.052886, epoch loss=0.523262 Batch=959, step=18960, lr=0.121250, batch loss=0.016867, epoch loss=0.540129 Batch=1019, step=19020, lr=0.121000, batch loss=0.026174, epoch loss=0.566303 Batch=1079, step=19080, lr=0.120750, batch loss=0.009403, epoch loss=0.575706 Batch=1139, step=19140, lr=0.120500, batch loss=0.023539, epoch loss=0.599245 Batch=1199, step=19200, lr=0.120250, batch loss=0.010313, epoch loss=0.609558 Epoch=15, step=19200, lr=0.120250, epoch loss=0.609558 Batch=59, step=19260, lr=0.120000, batch loss=0.004887, epoch loss=0.004887 Batch=119, step=19320, lr=0.119750, batch loss=0.019018, epoch loss=0.023905 Batch=179, step=19380, lr=0.119500, batch loss=0.046439, epoch loss=0.070344 Batch=239, step=19440, lr=0.119250, batch loss=0.021357, epoch loss=0.091701 Batch=299, step=19500, lr=0.119000, batch loss=0.005138, epoch loss=0.096839 Batch=359, step=19560, lr=0.118750, batch loss=0.017330, epoch loss=0.114168 Batch=419, step=19620, lr=0.118500, batch loss=0.019547, epoch loss=0.133715 Batch=479, step=19680, lr=0.118250, batch loss=0.010184, epoch loss=0.143899 Batch=539, step=19740, lr=0.118000, batch loss=0.020149, epoch loss=0.164048 Batch=599, step=19800, lr=0.117750, batch loss=0.020295, epoch loss=0.184343 Batch=659, step=19860, lr=0.117500, batch loss=0.020563, epoch loss=0.204906 Batch=719, step=19920, lr=0.117250, batch loss=0.015726, epoch loss=0.220632 Batch=779, step=19980, lr=0.117000, batch loss=0.019826, epoch loss=0.240458 Batch=839, step=20040, lr=0.116750, batch loss=0.030238, epoch loss=0.270696 Batch=899, step=20100, lr=0.116500, batch loss=0.025893, epoch loss=0.296589 Batch=959, step=20160, lr=0.116250, batch loss=0.016445, epoch loss=0.313034 Batch=1019, step=20220, lr=0.116000, batch loss=0.020254, epoch loss=0.333288 Batch=1079, step=20280, lr=0.115750, batch loss=0.008005, epoch loss=0.341293 Batch=1139, step=20340, lr=0.115500, batch loss=0.017695, epoch loss=0.358988 Batch=1199, step=20400, lr=0.115250, batch loss=0.008233, epoch loss=0.367222 Epoch=16, step=20400, lr=0.115250, epoch loss=0.367222 Batch=59, step=20460, lr=0.115000, batch loss=0.004108, epoch loss=0.004108 Batch=119, step=20520, lr=0.114750, batch loss=0.013022, epoch loss=0.017131 Batch=179, step=20580, lr=0.114500, batch loss=0.026697, epoch loss=0.043827 Batch=239, step=20640, lr=0.114250, batch loss=0.013880, epoch loss=0.057708 Batch=299, step=20700, lr=0.114000, batch loss=0.004899, epoch loss=0.062606 Batch=359, step=20760, lr=0.113750, batch loss=0.016573, epoch loss=0.079179 Batch=419, step=20820, lr=0.113500, batch loss=0.014808, epoch loss=0.093987 Batch=479, step=20880, lr=0.113250, batch loss=0.004722, epoch loss=0.098709 Batch=539, step=20940, lr=0.113000, batch loss=0.015678, epoch loss=0.114388 Batch=599, step=21000, lr=0.112750, batch loss=0.019578, epoch loss=0.133966 Batch=659, step=21060, lr=0.112500, batch loss=0.016830, epoch loss=0.150795 Batch=719, step=21120, lr=0.112250, batch loss=0.053901, epoch loss=0.204696 Batch=779, step=21180, lr=0.112000, batch loss=0.071067, epoch loss=0.275763 Batch=839, step=21240, lr=0.111750, batch loss=0.025653, epoch loss=0.301416 Batch=899, step=21300, lr=0.111500, batch loss=0.030398, epoch loss=0.331813 Batch=959, step=21360, lr=0.111250, batch loss=0.010678, epoch loss=0.342491 Batch=1019, step=21420, lr=0.111000, batch loss=0.012913, epoch loss=0.355405 Batch=1079, step=21480, lr=0.110750, batch loss=0.001730, epoch loss=0.357134 Batch=1139, step=21540, lr=0.110500, batch loss=0.012815, epoch loss=0.369949 Batch=1199, step=21600, lr=0.110250, batch loss=0.005073, epoch loss=0.375022 Epoch=17, step=21600, lr=0.110250, epoch loss=0.375022 Batch=59, step=21660, lr=0.110000, batch loss=0.002045, epoch loss=0.002045 Batch=119, step=21720, lr=0.109750, batch loss=0.007402, epoch loss=0.009447 Batch=179, step=21780, lr=0.109500, batch loss=0.013285, epoch loss=0.022732 Batch=239, step=21840, lr=0.109250, batch loss=0.010066, epoch loss=0.032798 Batch=299, step=21900, lr=0.109000, batch loss=0.010594, epoch loss=0.043392 Batch=359, step=21960, lr=0.108750, batch loss=0.015045, epoch loss=0.058437 Batch=419, step=22020, lr=0.108500, batch loss=0.012413, epoch loss=0.070851 Batch=479, step=22080, lr=0.108250, batch loss=0.002781, epoch loss=0.073632 Batch=539, step=22140, lr=0.108000, batch loss=0.018616, epoch loss=0.092248 Batch=599, step=22200, lr=0.107750, batch loss=0.017125, epoch loss=0.109373 Batch=659, step=22260, lr=0.107500, batch loss=0.014088, epoch loss=0.123461 Batch=719, step=22320, lr=0.107250, batch loss=0.030049, epoch loss=0.153510 Batch=779, step=22380, lr=0.107000, batch loss=0.042560, epoch loss=0.196069 Batch=839, step=22440, lr=0.106750, batch loss=0.022453, epoch loss=0.218523 Batch=899, step=22500, lr=0.106500, batch loss=0.022475, epoch loss=0.240998 Batch=959, step=22560, lr=0.106250, batch loss=0.011206, epoch loss=0.252204 Batch=1019, step=22620, lr=0.106000, batch loss=0.009628, epoch loss=0.261832 Batch=1079, step=22680, lr=0.105750, batch loss=0.000723, epoch loss=0.262555 Batch=1139, step=22740, lr=0.105500, batch loss=0.011154, epoch loss=0.273708 Batch=1199, step=22800, lr=0.105250, batch loss=0.003975, epoch loss=0.277683 Epoch=18, step=22800, lr=0.105250, epoch loss=0.277683 Batch=59, step=22860, lr=0.105000, batch loss=0.000926, epoch loss=0.000926 Batch=119, step=22920, lr=0.104750, batch loss=0.006309, epoch loss=0.007235 Batch=179, step=22980, lr=0.104500, batch loss=0.011381, epoch loss=0.018616 Batch=239, step=23040, lr=0.104250, batch loss=0.009577, epoch loss=0.028193 Batch=299, step=23100, lr=0.104000, batch loss=0.010411, epoch loss=0.038604 Batch=359, step=23160, lr=0.103750, batch loss=0.011984, epoch loss=0.050588 Batch=419, step=23220, lr=0.103500, batch loss=0.011079, epoch loss=0.061667 Batch=479, step=23280, lr=0.103250, batch loss=0.002385, epoch loss=0.064052 Batch=539, step=23340, lr=0.103000, batch loss=0.016391, epoch loss=0.080443 Batch=599, step=23400, lr=0.102750, batch loss=0.013584, epoch loss=0.094027 Batch=659, step=23460, lr=0.102500, batch loss=0.011805, epoch loss=0.105831 Batch=719, step=23520, lr=0.102250, batch loss=0.011923, epoch loss=0.117755 Batch=779, step=23580, lr=0.102000, batch loss=0.019234, epoch loss=0.136989 Batch=839, step=23640, lr=0.101750, batch loss=0.026543, epoch loss=0.163532 Batch=899, step=23700, lr=0.101500, batch loss=0.022995, epoch loss=0.186527 Batch=959, step=23760, lr=0.101250, batch loss=0.008737, epoch loss=0.195264 Batch=1019, step=23820, lr=0.101000, batch loss=0.008689, epoch loss=0.203953 Batch=1079, step=23880, lr=0.100750, batch loss=0.000541, epoch loss=0.204494 Batch=1139, step=23940, lr=0.100500, batch loss=0.009188, epoch loss=0.213682 Batch=1199, step=24000, lr=0.100250, batch loss=0.004409, epoch loss=0.218091 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218091 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 2025-06-13 17:16.10: Job failed: Failed: Build failed