2025-06-15 15:49.16: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f2e075607d99695c4f28434000775ddf61fe8564) (linux-arm64:debian-12-5.3_arm64_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:5b6fdf6e5f6cb072ae2868aa7237fc6471404cd06a5942dcc03b7c44bf1dc213 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard f2e07560 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3@sha256:5b6fdf6e5f6cb072ae2868aa7237fc6471404cd06a5942dcc03b7c44bf1dc213 # debian-12-5.3_arm64_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 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 2025-06-15 15:49.16: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:5b6fdf6e5f6cb072ae2868aa7237fc6471404cd06a5942dcc03b7c44bf1dc213-debian-12-5.3_arm64_opam-2.3-47205dcdf67be5146e41cc1eb1d39162" 2025-06-15 15:49.16: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:5b6fdf6e5f6cb072ae2868aa7237fc6471404cd06a5942dcc03b7c44bf1dc213) (comment debian-12-5.3_arm64_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 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")) ) 2025-06-15 15:49.16: Waiting for resource in pool OCluster 2025-06-15 15:49.16: Waiting for worker… 2025-06-15 15:49.16: Got resource from pool OCluster Building on okypous.caelum.ci.dev HEAD is now at 50d15cfc In progress / broken: Factor out a padding type and track padding with shapes for projections inference purposes HEAD is now at f2e07560 Yay, a better design for convolution shape and projection inference TODO: don't pass all pre-existing paddings as resolved_padding, some can still be updated (based on whether a tensor node's fields are forced). (from ocaml/opam:debian-12-ocaml-5.3@sha256:5b6fdf6e5f6cb072ae2868aa7237fc6471404cd06a5942dcc03b7c44bf1dc213) Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:5b6fdf6e5f6cb072ae2868aa7237fc6471404cd06a5942dcc03b7c44bf1dc213' locally docker.io/ocaml/opam@sha256:5b6fdf6e5f6cb072ae2868aa7237fc6471404cd06a5942dcc03b7c44bf1dc213: Pulling from ocaml/opam Digest: sha256:5b6fdf6e5f6cb072ae2868aa7237fc6471404cd06a5942dcc03b7c44bf1dc213 Status: Downloaded newer image for ocaml/opam@sha256:5b6fdf6e5f6cb072ae2868aa7237fc6471404cd06a5942dcc03b7c44bf1dc213 2025-06-15 15:49.18 ---> using "d344c8ca7b10e358c9a50108d6a27e3529b03b93896db2d0ddd27c60003d2f95" from cache /: (comment debian-12-5.3_arm64_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")) 2025-06-15 15:49.18 ---> using "f22d7e4d3dc59b398f2168e00aa81c08c53ddf071b484a110b7f6b397e3c139b" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. Continue? [y/n] y This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-06-15 15:49.18 ---> using "ce5d6a7b5cf0a103824ef10e4b317ed67a1058f72629dfc93b877a233c398eba" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-138-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-06-15 15:49.18 ---> using "947c98782c4598598acade35da5b05f4d261445904e58b9bf2803964ffbf8909" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-06-15 15:49.18 ---> using "6c20f5335898203aadec8ca449da0bc5ff35c75651599ddc4565faa2bc169bfe" 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) 2025-06-15 15:49.18 ---> using "c461bcd45f3517a3318827f74cc3d1a9d0611b3714cf8213b1fa92ac1e9ee279" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-06-15 15:49.18 ---> using "ccb27c23c6ac82d338b9dc7d1d7bd9d5398a3974e929e4834e7d3ea81b05d024" 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) 2025-06-15 15:49.18 ---> using "31ec67cda192146449585782ea1879b2dbcd553ffa596c6e3e5c2ad0a4614c33" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-06-15 15:49.18 ---> using "c7294c5cc31802b0b486faabf6bc4be975ba9202f0571367fa5537b178a7f442" from cache /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 "apt-get" "update" - Hit:1 http://deb.debian.org/debian bookworm InRelease - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian-security bookworm-security/main arm64 Packages [262 kB] - Fetched 365 kB in 1s (508 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev:arm64. - (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 ... 18799 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_arm64.deb ... - Unpacking libffi-dev:arm64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:arm64. - Preparing to unpack .../libpkgconf3_1.8.1-1_arm64.deb ... - Unpacking libpkgconf3:arm64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_arm64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:arm64. - Preparing to unpack .../pkgconf_1.8.1-1_arm64.deb ... - Unpacking pkgconf:arm64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:arm64. - Preparing to unpack .../pkg-config_1.8.1-1_arm64.deb ... - Unpacking pkg-config:arm64 (1.8.1-1) ... - Setting up libffi-dev:arm64 (3.4.4-1) ... - Setting up libpkgconf3:arm64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:arm64 (1.8.1-1) ... - Setting up pkg-config:arm64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-06-15 15:49.18 ---> using "a6a0af09472affbaee56c2ff979457768de80836b7795ee9e6cc5a0d245d6c80" 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 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 bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved dune.3.19.1, dune-configurator.3.19.1 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved base.v0.17.3 (https://github.com/janestreet/base/archive/refs/tags/v0.17.3.tar.gz) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> installed cmdliner.1.3.0 -> retrieved ocaml-version.4.0.1 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_sexp_conv.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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed num.1.5-1 -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed uutf.1.0.4 -> installed astring.0.8.5 -> installed fmt.0.10.0 -> installed logs.0.8.0 -> installed dune.3.19.1 -> 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 camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-version.4.0.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed cppo.1.8.0 -> installed ocaml-syntax-shims.1.0.0 -> installed integers.0.7.0 -> installed re.1.12.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.19.1 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> 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 stdio.v0.17.0 -> installed fieldslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed ppxlib.0.35.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib_jane.v0.17.2 -> installed ppx_here.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_optcomp.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_compare.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed ppx_string.v0.17.0 -> installed jst-config.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) 2025-06-15 15:49.18 ---> using "998aeebfe1109507761db55970126fc68a0a408c2d803e52e7c5941fd45aa327" from cache /src: (copy (src .) (dst /src)) 2025-06-15 15:49.19 ---> saved as "cf65d985d5e1dd99855f0753399ed892706b4a8f1ceaa8934fdb2b24fc1ea0da" /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 e51ab37..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: (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/95f9076a9824fe9329df5c8a38b0e3a6/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/57c90be29978203f7b65cd464cb07664/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/95f9076a9824fe9329df5c8a38b0e3a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/95f9076a9824fe9329df5c8a38b0e3a6/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/95f9076a9824fe9329df5c8a38b0e3a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/95f9076a9824fe9329df5c8a38b0e3a6/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/95f9076a9824fe9329df5c8a38b0e3a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/95f9076a9824fe9329df5c8a38b0e3a6/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/95f9076a9824fe9329df5c8a38b0e3a6/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/95f9076a9824fe9329df5c8a38b0e3a6/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/95f9076a9824fe9329df5c8a38b0e3a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/95f9076a9824fe9329df5c8a38b0e3a6/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/95f9076a9824fe9329df5c8a38b0e3a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/95f9076a9824fe9329df5c8a38b0e3a6/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/95f9076a9824fe9329df5c8a38b0e3a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/95f9076a9824fe9329df5c8a38b0e3a6/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/95f9076a9824fe9329df5c8a38b0e3a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/95f9076a9824fe9329df5c8a38b0e3a6/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/95f9076a9824fe9329df5c8a38b0e3a6/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/95f9076a9824fe9329df5c8a38b0e3a6/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/95f9076a9824fe9329df5c8a38b0e3a6/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 80)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539633, epoch loss=32.149086 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775381 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625038 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072215 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401511 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020080 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842140 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532384 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596262 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079602 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490901 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790406 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035542 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502048 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750828 Batch=1139, step=1140, lr=0.195250, batch loss=0.317440, epoch loss=45.068268 Batch=1199, step=1200, lr=0.195250, batch loss=0.263642, epoch loss=45.331910 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331910 Batch=59, step=1260, lr=0.195000, batch loss=0.262106, epoch loss=0.262106 Batch=119, step=1320, lr=0.194750, batch loss=0.205296, epoch loss=0.467402 Batch=179, step=1380, lr=0.194500, batch loss=0.243649, epoch loss=0.711051 Batch=239, step=1440, lr=0.194250, batch loss=0.347853, epoch loss=1.058904 Batch=299, step=1500, lr=0.193750, batch loss=0.247433, epoch loss=1.306337 Batch=359, step=1560, lr=0.193750, batch loss=0.316471, epoch loss=1.622808 Batch=419, step=1620, lr=0.193500, batch loss=0.308764, epoch loss=1.931573 Batch=479, step=1680, lr=0.193250, batch loss=0.275118, epoch loss=2.206691 Batch=539, step=1740, lr=0.193000, batch loss=0.210760, epoch loss=2.417451 Batch=599, step=1800, lr=0.192750, batch loss=0.262080, epoch loss=2.679531 Batch=659, step=1860, lr=0.192500, batch loss=0.375533, epoch loss=3.055064 Batch=719, step=1920, lr=0.192250, batch loss=0.358119, epoch loss=3.413183 Batch=779, step=1980, lr=0.192000, batch loss=0.386804, epoch loss=3.799988 Batch=839, step=2040, lr=0.191750, batch loss=0.346562, epoch loss=4.146549 Batch=899, step=2100, lr=0.191500, batch loss=0.322673, epoch loss=4.469222 Batch=959, step=2160, lr=0.191250, batch loss=0.255727, epoch loss=4.724949 Batch=1019, step=2220, lr=0.191000, batch loss=0.389162, epoch loss=5.114111 Batch=1079, step=2280, lr=0.190750, batch loss=0.219036, epoch loss=5.333147 Batch=1139, step=2340, lr=0.190250, batch loss=0.263015, epoch loss=5.596162 Batch=1199, step=2400, lr=0.190250, batch loss=0.212370, epoch loss=5.808532 Epoch=1, step=2400, lr=0.190250, epoch loss=5.808532 Batch=59, step=2460, lr=0.190000, batch loss=0.229879, epoch loss=0.229879 Batch=119, step=2520, lr=0.189750, batch loss=0.192391, epoch loss=0.422271 Batch=179, step=2580, lr=0.189500, batch loss=0.220892, epoch loss=0.643163 Batch=239, step=2640, lr=0.189250, batch loss=0.329107, epoch loss=0.972269 Batch=299, step=2700, lr=0.189000, batch loss=0.205534, epoch loss=1.177803 Batch=359, step=2760, lr=0.188750, batch loss=0.291202, epoch loss=1.469005 Batch=419, step=2820, lr=0.188500, batch loss=0.283108, epoch loss=1.752113 Batch=479, step=2880, lr=0.188250, batch loss=0.261677, epoch loss=2.013790 Batch=539, step=2940, lr=0.188000, batch loss=0.195373, epoch loss=2.209163 Batch=599, step=3000, lr=0.187750, batch loss=0.233756, epoch loss=2.442919 Batch=659, step=3060, lr=0.187500, batch loss=0.340384, epoch loss=2.783302 Batch=719, step=3120, lr=0.187250, batch loss=0.334469, epoch loss=3.117771 Batch=779, step=3180, lr=0.187000, batch loss=0.355576, epoch loss=3.473347 Batch=839, step=3240, lr=0.186750, batch loss=0.332268, epoch loss=3.805616 Batch=899, step=3300, lr=0.186500, batch loss=0.297710, epoch loss=4.103326 Batch=959, step=3360, lr=0.186250, batch loss=0.237214, epoch loss=4.340540 Batch=1019, step=3420, lr=0.186000, batch loss=0.351186, epoch loss=4.691726 Batch=1079, step=3480, lr=0.185750, batch loss=0.221246, epoch loss=4.912972 Batch=1139, step=3540, lr=0.185500, batch loss=0.262239, epoch loss=5.175211 Batch=1199, step=3600, lr=0.185250, batch loss=0.199402, epoch loss=5.374612 Epoch=2, step=3600, lr=0.185250, epoch loss=5.374612 Batch=59, step=3660, lr=0.185000, batch loss=0.226839, epoch loss=0.226839 Batch=119, step=3720, lr=0.184750, batch loss=0.190209, epoch loss=0.417048 Batch=179, step=3780, lr=0.184500, batch loss=0.213990, epoch loss=0.631038 Batch=239, step=3840, lr=0.184250, batch loss=0.316618, epoch loss=0.947656 Batch=299, step=3900, lr=0.184000, batch loss=0.204320, epoch loss=1.151975 Batch=359, step=3960, lr=0.183750, batch loss=0.287765, epoch loss=1.439740 Batch=419, step=4020, lr=0.183500, batch loss=0.274614, epoch loss=1.714354 Batch=479, step=4080, lr=0.183250, batch loss=0.259096, epoch loss=1.973450 Batch=539, step=4140, lr=0.183000, batch loss=0.193774, epoch loss=2.167224 Batch=599, step=4200, lr=0.182750, batch loss=0.229339, epoch loss=2.396563 Batch=659, step=4260, lr=0.182500, batch loss=0.331319, epoch loss=2.727882 Batch=719, step=4320, lr=0.182250, batch loss=0.328400, epoch loss=3.056283 Batch=779, step=4380, lr=0.182000, batch loss=0.354177, epoch loss=3.410459 Batch=839, step=4440, lr=0.181750, batch loss=0.317298, epoch loss=3.727758 Batch=899, step=4500, lr=0.181500, batch loss=0.281132, epoch loss=4.008889 Batch=959, step=4560, lr=0.181250, batch loss=0.209229, epoch loss=4.218118 Batch=1019, step=4620, lr=0.181000, batch loss=0.303521, epoch loss=4.521639 Batch=1079, step=4680, lr=0.180750, batch loss=0.183888, epoch loss=4.705527 Batch=1139, step=4740, lr=0.180500, batch loss=0.223199, epoch loss=4.928725 Batch=1199, step=4800, lr=0.180250, batch loss=0.201036, epoch loss=5.129761 Epoch=3, step=4800, lr=0.180250, epoch loss=5.129761 Batch=59, step=4860, lr=0.180000, batch loss=0.230028, epoch loss=0.230028 Batch=119, step=4920, lr=0.179750, batch loss=0.189131, epoch loss=0.419159 Batch=179, step=4980, lr=0.179500, batch loss=0.205179, epoch loss=0.624338 Batch=239, step=5040, lr=0.179250, batch loss=0.309032, epoch loss=0.933370 Batch=299, step=5100, lr=0.179000, batch loss=0.214118, epoch loss=1.147488 Batch=359, step=5160, lr=0.178750, batch loss=0.280485, epoch loss=1.427973 Batch=419, step=5220, lr=0.178500, batch loss=0.276792, epoch loss=1.704765 Batch=479, step=5280, lr=0.178250, batch loss=0.245538, epoch loss=1.950304 Batch=539, step=5340, lr=0.178000, batch loss=0.189739, epoch loss=2.140043 Batch=599, step=5400, lr=0.177750, batch loss=0.231618, epoch loss=2.371661 Batch=659, step=5460, lr=0.177500, batch loss=0.323412, epoch loss=2.695073 Batch=719, step=5520, lr=0.177250, batch loss=0.324634, epoch loss=3.019707 Batch=779, step=5580, lr=0.177000, batch loss=0.338768, epoch loss=3.358476 Batch=839, step=5640, lr=0.176750, batch loss=0.308731, epoch loss=3.667207 Batch=899, step=5700, lr=0.176500, batch loss=0.273404, epoch loss=3.940610 Batch=959, step=5760, lr=0.176250, batch loss=0.215781, epoch loss=4.156392 Batch=1019, step=5820, lr=0.176000, batch loss=0.336382, epoch loss=4.492774 Batch=1079, step=5880, lr=0.175750, batch loss=0.188176, epoch loss=4.680950 Batch=1139, step=5940, lr=0.175500, batch loss=0.220881, epoch loss=4.901831 Batch=1199, step=6000, lr=0.175250, batch loss=0.187576, epoch loss=5.089408 Epoch=4, step=6000, lr=0.175250, epoch loss=5.089408 Batch=59, step=6060, lr=0.175000, batch loss=0.231559, epoch loss=0.231559 Batch=119, step=6120, lr=0.174750, batch loss=0.193650, epoch loss=0.425209 Batch=179, step=6180, lr=0.174500, batch loss=0.201350, epoch loss=0.626559 Batch=239, step=6240, lr=0.174250, batch loss=0.302119, epoch loss=0.928678 Batch=299, step=6300, lr=0.174000, batch loss=0.212302, epoch loss=1.140980 Batch=359, step=6360, lr=0.173750, batch loss=0.272893, epoch loss=1.413873 Batch=419, step=6420, lr=0.173500, batch loss=0.268365, epoch loss=1.682238 Batch=479, step=6480, lr=0.173250, batch loss=0.241258, epoch loss=1.923495 Batch=539, step=6540, lr=0.173000, batch loss=0.196726, epoch loss=2.120221 Batch=599, step=6600, lr=0.172750, batch loss=0.232050, epoch loss=2.352271 Batch=659, step=6660, lr=0.172500, batch loss=0.314825, epoch loss=2.667096 Batch=719, step=6720, lr=0.172250, batch loss=0.317902, epoch loss=2.984998 Batch=779, step=6780, lr=0.172000, batch loss=0.331294, epoch loss=3.316292 Batch=839, step=6840, lr=0.171750, batch loss=0.305681, epoch loss=3.621973 Batch=899, step=6900, lr=0.171500, batch loss=0.271255, epoch loss=3.893228 Batch=959, step=6960, lr=0.171250, batch loss=0.207338, epoch loss=4.100566 Batch=1019, step=7020, lr=0.171000, batch loss=0.325414, epoch loss=4.425979 Batch=1079, step=7080, lr=0.170750, batch loss=0.174281, epoch loss=4.600260 Batch=1139, step=7140, lr=0.170500, batch loss=0.212571, epoch loss=4.812831 Batch=1199, step=7200, lr=0.170250, batch loss=0.189489, epoch loss=5.002320 Epoch=5, step=7200, lr=0.170250, epoch loss=5.002320 Batch=59, step=7260, lr=0.170000, batch loss=0.226815, epoch loss=0.226815 Batch=119, step=7320, lr=0.169750, batch loss=0.187662, epoch loss=0.414477 Batch=179, step=7380, lr=0.169500, batch loss=0.194994, epoch loss=0.609471 Batch=239, step=7440, lr=0.169250, batch loss=0.289033, epoch loss=0.898504 Batch=299, step=7500, lr=0.169000, batch loss=0.193926, epoch loss=1.092430 Batch=359, step=7560, lr=0.168750, batch loss=0.256117, epoch loss=1.348547 Batch=419, step=7620, lr=0.168500, batch loss=0.250542, epoch loss=1.599090 Batch=479, step=7680, lr=0.168250, batch loss=0.226140, epoch loss=1.825230 Batch=539, step=7740, lr=0.168000, batch loss=0.183102, epoch loss=2.008333 Batch=599, step=7800, lr=0.167750, batch loss=0.220072, epoch loss=2.228405 Batch=659, step=7860, lr=0.167500, batch loss=0.307351, epoch loss=2.535756 Batch=719, step=7920, lr=0.167250, batch loss=0.305234, epoch loss=2.840989 Batch=779, step=7980, lr=0.167000, batch loss=0.323643, epoch loss=3.164632 Batch=839, step=8040, lr=0.166750, batch loss=0.294468, epoch loss=3.459100 Batch=899, step=8100, lr=0.166500, batch loss=0.260652, epoch loss=3.719752 Batch=959, step=8160, lr=0.166250, batch loss=0.203767, epoch loss=3.923519 Batch=1019, step=8220, lr=0.166000, batch loss=0.322790, epoch loss=4.246309 Batch=1079, step=8280, lr=0.165750, batch loss=0.188130, epoch loss=4.434438 Batch=1139, step=8340, lr=0.165500, batch loss=0.218941, epoch loss=4.653379 Batch=1199, step=8400, lr=0.165250, batch loss=0.173069, epoch loss=4.826448 Epoch=6, step=8400, lr=0.165250, epoch loss=4.826448 Batch=59, step=8460, lr=0.165000, batch loss=0.209835, epoch loss=0.209835 Batch=119, step=8520, lr=0.164750, batch loss=0.173261, epoch loss=0.383095 Batch=179, step=8580, lr=0.164500, batch loss=0.188747, epoch loss=0.571842 Batch=239, step=8640, lr=0.164250, batch loss=0.277042, epoch loss=0.848884 Batch=299, step=8700, lr=0.164000, batch loss=0.187708, epoch loss=1.036592 Batch=359, step=8760, lr=0.163750, batch loss=0.252012, epoch loss=1.288604 Batch=419, step=8820, lr=0.163500, batch loss=0.248506, epoch loss=1.537110 Batch=479, step=8880, lr=0.163250, batch loss=0.225425, epoch loss=1.762535 Batch=539, step=8940, lr=0.163000, batch loss=0.182255, epoch loss=1.944790 Batch=599, step=9000, lr=0.162750, batch loss=0.213360, epoch loss=2.158150 Batch=659, step=9060, lr=0.162500, batch loss=0.296009, epoch loss=2.454160 Batch=719, step=9120, lr=0.162250, batch loss=0.295914, epoch loss=2.750073 Batch=779, step=9180, lr=0.162000, batch loss=0.317817, epoch loss=3.067890 Batch=839, step=9240, lr=0.161750, batch loss=0.286900, epoch loss=3.354790 Batch=899, step=9300, lr=0.161500, batch loss=0.251892, epoch loss=3.606683 Batch=959, step=9360, lr=0.161250, batch loss=0.200141, epoch loss=3.806823 Batch=1019, step=9420, lr=0.161000, batch loss=0.308165, epoch loss=4.114989 Batch=1079, step=9480, lr=0.160750, batch loss=0.195690, epoch loss=4.310679 Batch=1139, step=9540, lr=0.160500, batch loss=0.213526, epoch loss=4.524205 Batch=1199, step=9600, lr=0.160250, batch loss=0.167250, epoch loss=4.691455 Epoch=7, step=9600, lr=0.160250, epoch loss=4.691455 Batch=59, step=9660, lr=0.160000, batch loss=0.204041, epoch loss=0.204041 Batch=119, step=9720, lr=0.159750, batch loss=0.175435, epoch loss=0.379475 Batch=179, step=9780, lr=0.159500, batch loss=0.180054, epoch loss=0.559529 Batch=239, step=9840, lr=0.159250, batch loss=0.261676, epoch loss=0.821205 Batch=299, step=9900, lr=0.159000, batch loss=0.188356, epoch loss=1.009561 Batch=359, step=9960, lr=0.158750, batch loss=0.236224, epoch loss=1.245785 Batch=419, step=10020, lr=0.158500, batch loss=0.231842, epoch loss=1.477626 Batch=479, step=10080, lr=0.158250, batch loss=0.212524, epoch loss=1.690150 Batch=539, step=10140, lr=0.158000, batch loss=0.171502, epoch loss=1.861652 Batch=599, step=10200, lr=0.157750, batch loss=0.199611, epoch loss=2.061263 Batch=659, step=10260, lr=0.157500, batch loss=0.283716, epoch loss=2.344980 Batch=719, step=10320, lr=0.157250, batch loss=0.289181, epoch loss=2.634160 Batch=779, step=10380, lr=0.157000, batch loss=0.297170, epoch loss=2.931331 Batch=839, step=10440, lr=0.156750, batch loss=0.267186, epoch loss=3.198517 Batch=899, step=10500, lr=0.156500, batch loss=0.243786, epoch loss=3.442303 Batch=959, step=10560, lr=0.156250, batch loss=0.196003, epoch loss=3.638306 Batch=1019, step=10620, lr=0.156000, batch loss=0.284656, epoch loss=3.922962 Batch=1079, step=10680, lr=0.155750, batch loss=0.171372, epoch loss=4.094334 Batch=1139, step=10740, lr=0.155500, batch loss=0.196863, epoch loss=4.291197 Batch=1199, step=10800, lr=0.155250, batch loss=0.155890, epoch loss=4.447087 Epoch=8, step=10800, lr=0.155250, epoch loss=4.447087 Batch=59, step=10860, lr=0.155000, batch loss=0.194326, epoch loss=0.194326 Batch=119, step=10920, lr=0.154750, batch loss=0.161423, epoch loss=0.355749 Batch=179, step=10980, lr=0.154500, batch loss=0.168124, epoch loss=0.523873 Batch=239, step=11040, lr=0.154250, batch loss=0.244991, epoch loss=0.768864 Batch=299, step=11100, lr=0.154000, batch loss=0.167522, epoch loss=0.936386 Batch=359, step=11160, lr=0.153750, batch loss=0.221953, epoch loss=1.158338 Batch=419, step=11220, lr=0.153500, batch loss=0.228815, epoch loss=1.387153 Batch=479, step=11280, lr=0.153250, batch loss=0.203712, epoch loss=1.590865 Batch=539, step=11340, lr=0.153000, batch loss=0.159083, epoch loss=1.749948 Batch=599, step=11400, lr=0.152750, batch loss=0.179485, epoch loss=1.929433 Batch=659, step=11460, lr=0.152500, batch loss=0.266168, epoch loss=2.195601 Batch=719, step=11520, lr=0.152250, batch loss=0.255300, epoch loss=2.450901 Batch=779, step=11580, lr=0.152000, batch loss=0.272815, epoch loss=2.723715 Batch=839, step=11640, lr=0.151750, batch loss=0.254497, epoch loss=2.978212 Batch=899, step=11700, lr=0.151500, batch loss=0.214881, epoch loss=3.193093 Batch=959, step=11760, lr=0.151250, batch loss=0.166186, epoch loss=3.359279 Batch=1019, step=11820, lr=0.151000, batch loss=0.269053, epoch loss=3.628332 Batch=1079, step=11880, lr=0.150750, batch loss=0.147353, epoch loss=3.775684 Batch=1139, step=11940, lr=0.150500, batch loss=0.187351, epoch loss=3.963036 Batch=1199, step=12000, lr=0.150250, batch loss=0.139632, epoch loss=4.102668 Epoch=9, step=12000, lr=0.150250, epoch loss=4.102668 Batch=59, step=12060, lr=0.150000, batch loss=0.163764, epoch loss=0.163764 Batch=119, step=12120, lr=0.149750, batch loss=0.135339, epoch loss=0.299103 Batch=179, step=12180, lr=0.149500, batch loss=0.151162, epoch loss=0.450265 Batch=239, step=12240, lr=0.149250, batch loss=0.219341, epoch loss=0.669607 Batch=299, step=12300, lr=0.149000, batch loss=0.143595, epoch loss=0.813202 Batch=359, step=12360, lr=0.148750, batch loss=0.196427, epoch loss=1.009629 Batch=419, step=12420, lr=0.148500, batch loss=0.207332, epoch loss=1.216961 Batch=479, step=12480, lr=0.148250, batch loss=0.178756, epoch loss=1.395717 Batch=539, step=12540, lr=0.148000, batch loss=0.143130, epoch loss=1.538847 Batch=599, step=12600, lr=0.147750, batch loss=0.149482, epoch loss=1.688329 Batch=659, step=12660, lr=0.147500, batch loss=0.228052, epoch loss=1.916380 Batch=719, step=12720, lr=0.147250, batch loss=0.235543, epoch loss=2.151923 Batch=779, step=12780, lr=0.147000, batch loss=0.265916, epoch loss=2.417839 Batch=839, step=12840, lr=0.146750, batch loss=0.233777, epoch loss=2.651616 Batch=899, step=12900, lr=0.146500, batch loss=0.205168, epoch loss=2.856784 Batch=959, step=12960, lr=0.146250, batch loss=0.146144, epoch loss=3.002927 Batch=1019, step=13020, lr=0.146000, batch loss=0.243926, epoch loss=3.246854 Batch=1079, step=13080, lr=0.145750, batch loss=0.113529, epoch loss=3.360383 Batch=1139, step=13140, lr=0.145500, batch loss=0.149453, epoch loss=3.509835 Batch=1199, step=13200, lr=0.145250, batch loss=0.117529, epoch loss=3.627364 Epoch=10, step=13200, lr=0.145250, epoch loss=3.627364 Batch=59, step=13260, lr=0.145000, batch loss=0.138863, epoch loss=0.138863 Batch=119, step=13320, lr=0.144750, batch loss=0.123712, epoch loss=0.262575 Batch=179, step=13380, lr=0.144500, batch loss=0.128178, epoch loss=0.390753 Batch=239, step=13440, lr=0.144250, batch loss=0.188367, epoch loss=0.579120 Batch=299, step=13500, lr=0.144000, batch loss=0.116845, epoch loss=0.695965 Batch=359, step=13560, lr=0.143750, batch loss=0.159969, epoch loss=0.855934 Batch=419, step=13620, lr=0.143500, batch loss=0.161659, epoch loss=1.017593 Batch=479, step=13680, lr=0.143250, batch loss=0.146406, epoch loss=1.163999 Batch=539, step=13740, lr=0.143000, batch loss=0.119390, epoch loss=1.283389 Batch=599, step=13800, lr=0.142750, batch loss=0.121238, epoch loss=1.404627 Batch=659, step=13860, lr=0.142500, batch loss=0.175897, epoch loss=1.580523 Batch=719, step=13920, lr=0.142250, batch loss=0.178747, epoch loss=1.759270 Batch=779, step=13980, lr=0.142000, batch loss=0.197917, epoch loss=1.957187 Batch=839, step=14040, lr=0.141750, batch loss=0.189905, epoch loss=2.147093 Batch=899, step=14100, lr=0.141500, batch loss=0.179041, epoch loss=2.326133 Batch=959, step=14160, lr=0.141250, batch loss=0.142892, epoch loss=2.469025 Batch=1019, step=14220, lr=0.141000, batch loss=0.312168, epoch loss=2.781193 Batch=1079, step=14280, lr=0.140750, batch loss=0.073290, epoch loss=2.854483 Batch=1139, step=14340, lr=0.140500, batch loss=0.127698, epoch loss=2.982181 Batch=1199, step=14400, lr=0.140250, batch loss=0.092947, epoch loss=3.075128 Epoch=11, step=14400, lr=0.140250, epoch loss=3.075128 Batch=59, step=14460, lr=0.140000, batch loss=0.124277, epoch loss=0.124277 Batch=119, step=14520, lr=0.139750, batch loss=0.109571, epoch loss=0.233849 Batch=179, step=14580, lr=0.139500, batch loss=0.107803, epoch loss=0.341652 Batch=239, step=14640, lr=0.139250, batch loss=0.141066, epoch loss=0.482718 Batch=299, step=14700, lr=0.139000, batch loss=0.071427, epoch loss=0.554144 Batch=359, step=14760, lr=0.138750, batch loss=0.119417, epoch loss=0.673561 Batch=419, step=14820, lr=0.138500, batch loss=0.126023, epoch loss=0.799584 Batch=479, step=14880, lr=0.138250, batch loss=0.110138, epoch loss=0.909721 Batch=539, step=14940, lr=0.138000, batch loss=0.116523, epoch loss=1.026244 Batch=599, step=15000, lr=0.137750, batch loss=0.088931, epoch loss=1.115175 Batch=659, step=15060, lr=0.137500, batch loss=0.128563, epoch loss=1.243737 Batch=719, step=15120, lr=0.137250, batch loss=0.135801, epoch loss=1.379539 Batch=779, step=15180, lr=0.137000, batch loss=0.176240, epoch loss=1.555779 Batch=839, step=15240, lr=0.136750, batch loss=0.170541, epoch loss=1.726320 Batch=899, step=15300, lr=0.136500, batch loss=0.266261, epoch loss=1.992581 Batch=959, step=15360, lr=0.136250, batch loss=0.059914, epoch loss=2.052495 Batch=1019, step=15420, lr=0.136000, batch loss=0.141683, epoch loss=2.194178 Batch=1079, step=15480, lr=0.135750, batch loss=0.045674, epoch loss=2.239852 Batch=1139, step=15540, lr=0.135500, batch loss=0.101779, epoch loss=2.341631 Batch=1199, step=15600, lr=0.135250, batch loss=0.062615, epoch loss=2.404246 Epoch=12, step=15600, lr=0.135250, epoch loss=2.404246 Batch=59, step=15660, lr=0.135000, batch loss=0.085966, epoch loss=0.085966 Batch=119, step=15720, lr=0.134750, batch loss=0.115522, epoch loss=0.201489 Batch=179, step=15780, lr=0.134500, batch loss=0.096782, epoch loss=0.298271 Batch=239, step=15840, lr=0.134250, batch loss=0.097885, epoch loss=0.396156 Batch=299, step=15900, lr=0.134000, batch loss=0.042010, epoch loss=0.438166 Batch=359, step=15960, lr=0.133750, batch loss=0.084228, epoch loss=0.522395 Batch=419, step=16020, lr=0.133500, batch loss=0.081863, epoch loss=0.604258 Batch=479, step=16080, lr=0.133250, batch loss=0.064235, epoch loss=0.668492 Batch=539, step=16140, lr=0.133000, batch loss=0.058048, epoch loss=0.726540 Batch=599, step=16200, lr=0.132750, batch loss=0.106180, epoch loss=0.832720 Batch=659, step=16260, lr=0.132500, batch loss=0.079607, epoch loss=0.912327 Batch=719, step=16320, lr=0.132250, batch loss=0.133747, epoch loss=1.046073 Batch=779, step=16380, lr=0.132000, batch loss=0.345999, epoch loss=1.392072 Batch=839, step=16440, lr=0.131750, batch loss=0.097307, epoch loss=1.489379 Batch=899, step=16500, lr=0.131500, batch loss=0.080488, epoch loss=1.569867 Batch=959, step=16560, lr=0.131250, batch loss=0.035139, epoch loss=1.605006 Batch=1019, step=16620, lr=0.131000, batch loss=0.068081, epoch loss=1.673087 Batch=1079, step=16680, lr=0.130750, batch loss=0.052699, epoch loss=1.725786 Batch=1139, step=16740, lr=0.130500, batch loss=0.095619, epoch loss=1.821405 Batch=1199, step=16800, lr=0.130250, batch loss=0.046791, epoch loss=1.868196 Epoch=13, step=16800, lr=0.130250, epoch loss=1.868196 Batch=59, step=16860, lr=0.130000, batch loss=0.038500, epoch loss=0.038500 Batch=119, step=16920, lr=0.129750, batch loss=0.039036, epoch loss=0.077535 Batch=179, step=16980, lr=0.129500, batch loss=0.046048, epoch loss=0.123583 Batch=239, step=17040, lr=0.129250, batch loss=0.062897, epoch loss=0.186481 Batch=299, step=17100, lr=0.129000, batch loss=0.022725, epoch loss=0.209206 Batch=359, step=17160, lr=0.128750, batch loss=0.046898, epoch loss=0.256104 Batch=419, step=17220, lr=0.128500, batch loss=0.073831, epoch loss=0.329935 Batch=479, step=17280, lr=0.128250, batch loss=0.024734, epoch loss=0.354669 Batch=539, step=17340, lr=0.128000, batch loss=0.029996, epoch loss=0.384664 Batch=599, step=17400, lr=0.127750, batch loss=0.035325, epoch loss=0.419989 Batch=659, step=17460, lr=0.127500, batch loss=0.048692, epoch loss=0.468681 Batch=719, step=17520, lr=0.127250, batch loss=0.058298, epoch loss=0.526979 Batch=779, step=17580, lr=0.127000, batch loss=0.071845, epoch loss=0.598824 Batch=839, step=17640, lr=0.126750, batch loss=0.128297, epoch loss=0.727122 Batch=899, step=17700, lr=0.126500, batch loss=0.059217, epoch loss=0.786338 Batch=959, step=17760, lr=0.126250, batch loss=0.019745, epoch loss=0.806083 Batch=1019, step=17820, lr=0.126000, batch loss=0.030376, epoch loss=0.836459 Batch=1079, step=17880, lr=0.125750, batch loss=0.017712, epoch loss=0.854171 Batch=1139, step=17940, lr=0.125500, batch loss=0.043572, epoch loss=0.897744 Batch=1199, step=18000, lr=0.125250, batch loss=0.017290, epoch loss=0.915034 Epoch=14, step=18000, lr=0.125250, epoch loss=0.915034 Batch=59, step=18060, lr=0.125000, batch loss=0.015565, epoch loss=0.015565 Batch=119, step=18120, lr=0.124750, batch loss=0.029131, epoch loss=0.044697 Batch=179, step=18180, lr=0.124500, batch loss=0.030836, epoch loss=0.075532 Batch=239, step=18240, lr=0.124250, batch loss=0.035787, epoch loss=0.111319 Batch=299, step=18300, lr=0.124000, batch loss=0.010337, epoch loss=0.121656 Batch=359, step=18360, lr=0.123750, batch loss=0.026669, epoch loss=0.148326 Batch=419, step=18420, lr=0.123500, batch loss=0.033798, epoch loss=0.182123 Batch=479, step=18480, lr=0.123250, batch loss=0.025486, epoch loss=0.207609 Batch=539, step=18540, lr=0.123000, batch loss=0.058203, epoch loss=0.265812 Batch=599, step=18600, lr=0.122750, batch loss=0.029625, epoch loss=0.295437 Batch=659, step=18660, lr=0.122500, batch loss=0.036362, epoch loss=0.331799 Batch=719, step=18720, lr=0.122250, batch loss=0.025752, epoch loss=0.357552 Batch=779, step=18780, lr=0.122000, batch loss=0.046327, epoch loss=0.403879 Batch=839, step=18840, lr=0.121750, batch loss=0.068204, epoch loss=0.472083 Batch=899, step=18900, lr=0.121500, batch loss=0.114447, epoch loss=0.586530 Batch=959, step=18960, lr=0.121250, batch loss=0.023688, epoch loss=0.610218 Batch=1019, step=19020, lr=0.121000, batch loss=0.036043, epoch loss=0.646261 Batch=1079, step=19080, lr=0.120750, batch loss=0.010561, epoch loss=0.656822 Batch=1139, step=19140, lr=0.120500, batch loss=0.025057, epoch loss=0.681879 Batch=1199, step=19200, lr=0.120250, batch loss=0.012172, epoch loss=0.694051 Epoch=15, step=19200, lr=0.120250, epoch loss=0.694051 Batch=59, step=19260, lr=0.120000, batch loss=0.006600, epoch loss=0.006600 Batch=119, step=19320, lr=0.119750, batch loss=0.013179, epoch loss=0.019779 Batch=179, step=19380, lr=0.119500, batch loss=0.033636, epoch loss=0.053415 Batch=239, step=19440, lr=0.119250, batch loss=0.023009, epoch loss=0.076424 Batch=299, step=19500, lr=0.119000, batch loss=0.005883, epoch loss=0.082308 Batch=359, step=19560, lr=0.118750, batch loss=0.020458, epoch loss=0.102766 Batch=419, step=19620, lr=0.118500, batch loss=0.019954, epoch loss=0.122720 Batch=479, step=19680, lr=0.118250, batch loss=0.006732, epoch loss=0.129453 Batch=539, step=19740, lr=0.118000, batch loss=0.020396, epoch loss=0.149849 Batch=599, step=19800, lr=0.117750, batch loss=0.024784, epoch loss=0.174633 Batch=659, step=19860, lr=0.117500, batch loss=0.022425, epoch loss=0.197058 Batch=719, step=19920, lr=0.117250, batch loss=0.049962, epoch loss=0.247020 Batch=779, step=19980, lr=0.117000, batch loss=0.086102, epoch loss=0.333122 Batch=839, step=20040, lr=0.116750, batch loss=0.031610, epoch loss=0.364732 Batch=899, step=20100, lr=0.116500, batch loss=0.031226, epoch loss=0.395958 Batch=959, step=20160, lr=0.116250, batch loss=0.011035, epoch loss=0.406992 Batch=1019, step=20220, lr=0.116000, batch loss=0.014347, epoch loss=0.421339 Batch=1079, step=20280, lr=0.115750, batch loss=0.003171, epoch loss=0.424510 Batch=1139, step=20340, lr=0.115500, batch loss=0.017157, epoch loss=0.441666 Batch=1199, step=20400, lr=0.115250, batch loss=0.006519, epoch loss=0.448185 Epoch=16, step=20400, lr=0.115250, epoch loss=0.448185 Batch=59, step=20460, lr=0.115000, batch loss=0.003012, epoch loss=0.003012 Batch=119, step=20520, lr=0.114750, batch loss=0.010850, epoch loss=0.013862 Batch=179, step=20580, lr=0.114500, batch loss=0.025743, epoch loss=0.039605 Batch=239, step=20640, lr=0.114250, batch loss=0.014429, epoch loss=0.054034 Batch=299, step=20700, lr=0.114000, batch loss=0.002759, epoch loss=0.056794 Batch=359, step=20760, lr=0.113500, batch loss=0.015785, epoch loss=0.072578 Batch=419, step=20820, lr=0.113500, batch loss=0.015998, epoch loss=0.088576 Batch=479, step=20880, lr=0.113250, batch loss=0.004544, epoch loss=0.093120 Batch=539, step=20940, lr=0.113000, batch loss=0.016006, epoch loss=0.109126 Batch=599, step=21000, lr=0.112750, batch loss=0.019560, epoch loss=0.128686 Batch=659, step=21060, lr=0.112500, batch loss=0.014591, epoch loss=0.143277 Batch=719, step=21120, lr=0.112250, batch loss=0.039275, epoch loss=0.182552 Batch=779, step=21180, lr=0.112000, batch loss=0.065973, epoch loss=0.248526 Batch=839, step=21240, lr=0.111750, batch loss=0.025351, epoch loss=0.273877 Batch=899, step=21300, lr=0.111500, batch loss=0.027727, epoch loss=0.301604 Batch=959, step=21360, lr=0.111250, batch loss=0.010799, epoch loss=0.312403 Batch=1019, step=21420, lr=0.111000, batch loss=0.010237, epoch loss=0.322640 Batch=1079, step=21480, lr=0.110750, batch loss=0.002430, epoch loss=0.325070 Batch=1139, step=21540, lr=0.110500, batch loss=0.012543, epoch loss=0.337612 Batch=1199, step=21600, lr=0.110250, batch loss=0.005096, epoch loss=0.342709 Epoch=17, step=21600, lr=0.110250, epoch loss=0.342709 Batch=59, step=21660, lr=0.110000, batch loss=0.002483, epoch loss=0.002483 Batch=119, step=21720, lr=0.109750, batch loss=0.006999, epoch loss=0.009482 Batch=179, step=21780, lr=0.109500, batch loss=0.013077, epoch loss=0.022559 Batch=239, step=21840, lr=0.109250, batch loss=0.009804, epoch loss=0.032362 Batch=299, step=21900, lr=0.109000, batch loss=0.011267, epoch loss=0.043629 Batch=359, step=21960, lr=0.108750, batch loss=0.014228, epoch loss=0.057857 Batch=419, step=22020, lr=0.108500, batch loss=0.012772, epoch loss=0.070628 Batch=479, step=22080, lr=0.108250, batch loss=0.003006, epoch loss=0.073635 Batch=539, step=22140, lr=0.108000, batch loss=0.016896, epoch loss=0.090531 Batch=599, step=22200, lr=0.107750, batch loss=0.017160, epoch loss=0.107691 Batch=659, step=22260, lr=0.107500, batch loss=0.015340, epoch loss=0.123030 Batch=719, step=22320, lr=0.107250, batch loss=0.025663, epoch loss=0.148693 Batch=779, step=22380, lr=0.107000, batch loss=0.036559, epoch loss=0.185252 Batch=839, step=22440, lr=0.106750, batch loss=0.023300, epoch loss=0.208552 Batch=899, step=22500, lr=0.106500, batch loss=0.031552, epoch loss=0.240105 Batch=959, step=22560, lr=0.106250, batch loss=0.009155, epoch loss=0.249260 Batch=1019, step=22620, lr=0.106000, batch loss=0.010013, epoch loss=0.259272 Batch=1079, step=22680, lr=0.105750, batch loss=0.000856, epoch loss=0.260128 Batch=1139, step=22740, lr=0.105500, batch loss=0.011567, epoch loss=0.271695 Batch=1199, step=22800, lr=0.105250, batch loss=0.004660, epoch loss=0.276355 Epoch=18, step=22800, lr=0.105250, epoch loss=0.276355 Batch=59, step=22860, lr=0.105000, batch loss=0.001662, epoch loss=0.001662 Batch=119, step=22920, lr=0.104750, batch loss=0.005761, epoch loss=0.007423 Batch=179, step=22980, lr=0.104500, batch loss=0.011564, epoch loss=0.018987 Batch=239, step=23040, lr=0.104250, batch loss=0.010588, epoch loss=0.029574 Batch=299, step=23100, lr=0.104000, batch loss=0.009258, epoch loss=0.038832 Batch=359, step=23160, lr=0.103750, batch loss=0.011563, epoch loss=0.050395 Batch=419, step=23220, lr=0.103500, batch loss=0.011372, epoch loss=0.061767 Batch=479, step=23280, lr=0.103250, batch loss=0.003404, epoch loss=0.065171 Batch=539, step=23340, lr=0.103000, batch loss=0.015643, epoch loss=0.080814 Batch=599, step=23400, lr=0.102750, batch loss=0.014181, epoch loss=0.094995 Batch=659, step=23460, lr=0.102500, batch loss=0.012086, epoch loss=0.107081 Batch=719, step=23520, lr=0.102250, batch loss=0.010760, epoch loss=0.117840 Batch=779, step=23580, lr=0.102000, batch loss=0.018478, epoch loss=0.136319 Batch=839, step=23640, lr=0.101750, batch loss=0.029912, epoch loss=0.166230 Batch=899, step=23700, lr=0.101500, batch loss=0.020375, epoch loss=0.186605 Batch=959, step=23760, lr=0.101250, batch loss=0.009433, epoch loss=0.196038 Batch=1019, step=23820, lr=0.101000, batch loss=0.007951, epoch loss=0.203989 Batch=1079, step=23880, lr=0.100750, batch loss=0.000750, epoch loss=0.204739 Batch=1139, step=23940, lr=0.100500, batch loss=0.009524, epoch loss=0.214262 Batch=1199, step=24000, lr=0.100250, batch loss=0.004510, epoch loss=0.218772 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218772 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############***************************************..│ │********######*####*********************************###*###*#**********************************.....│ │*******######**##**********************************#*######*#********************************.......│ │*******##*##**##***********..........***************########*##****************************.........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│ │****#######**********..........%%%%.........************#########********************........%%.%%.%│ 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│######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-06-15 15:49.40: Job failed: Failed: Build failed