2025-06-15 15:49.16: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f2e075607d99695c4f28434000775ddf61fe8564) (linux-ppc64:debian-12-5.3_ppc64_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:ee1370892e35a7707afd41501039a3c90e173dd9ce9096b12b0e38a805d568f8 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:ee1370892e35a7707afd41501039a3c90e173dd9ce9096b12b0e38a805d568f8 # debian-12-5.3_ppc64_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:ee1370892e35a7707afd41501039a3c90e173dd9ce9096b12b0e38a805d568f8-debian-12-5.3_ppc64_opam-2.3-47205dcdf67be5146e41cc1eb1d39162" 2025-06-15 15:49.16: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:ee1370892e35a7707afd41501039a3c90e173dd9ce9096b12b0e38a805d568f8) (comment debian-12-5.3_ppc64_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 scyleia.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:ee1370892e35a7707afd41501039a3c90e173dd9ce9096b12b0e38a805d568f8) Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:ee1370892e35a7707afd41501039a3c90e173dd9ce9096b12b0e38a805d568f8' locally docker.io/ocaml/opam@sha256:ee1370892e35a7707afd41501039a3c90e173dd9ce9096b12b0e38a805d568f8: Pulling from ocaml/opam 996840ee3507: Already exists ee9a8af2a7ea: Already exists 4ca048e7bbe7: Already exists 31633a07e460: Already exists 4315786db56b: Already exists a6598f3205f9: Already exists 34e0d892dafa: Already exists 1186a513b1da: Already exists 9bd8d8b76943: Already exists 7016669b2c0f: Already exists b8f58781ef4f: Already exists 29350fa019d8: Already exists 1178d8bc1650: Already exists ac5bf51cb11f: Already exists 9b5a8362d361: Already exists 9b5a8362d361: Already exists b5bcce174082: Already exists 0bd37a71adbe: Already exists dab36f7bc7b4: Already exists ed1f103d763d: Already exists 4f4fb700ef54: Already exists 92bed594dc72: Already exists 4d1751d246ef: Already exists d8983c7eea77: Already exists 82c323b890bf: Already exists afda9558c731: Already exists f1df42dd1639: Already exists a324bcf96dc6: Already exists 5255b018b35d: Already exists a6bcc41b20e7: Already exists ce17426d065a: Already exists 0adcf64c49eb: Already exists c7e3ef48db78: Already exists afb9ef1685ec: Already exists fbda39219ff8: Already exists a002f0a7c957: Already exists 6a506a373e05: Already exists 0af459c94f77: Already exists 271aa99c86d1: Already exists 855716da00c9: Pulling fs layer 02a7644fe7fc: Pulling fs layer 65ed42461281: Pulling fs layer a4c830d2ea18: Pulling fs layer 7ef957a691a9: Pulling fs layer 6410003e6380: Pulling fs layer 99b462ef4685: Pulling fs layer a4c830d2ea18: Waiting 7ef957a691a9: Waiting 99b462ef4685: Waiting 6410003e6380: Waiting 65ed42461281: Verifying Checksum 65ed42461281: Download complete 02a7644fe7fc: Verifying Checksum 02a7644fe7fc: Download complete 855716da00c9: Verifying Checksum 855716da00c9: Download complete 855716da00c9: Pull complete 02a7644fe7fc: Pull complete 65ed42461281: Pull complete 7ef957a691a9: Verifying Checksum 7ef957a691a9: Download complete 99b462ef4685: Verifying Checksum 99b462ef4685: Download complete 6410003e6380: Download complete a4c830d2ea18: Verifying Checksum a4c830d2ea18: Download complete a4c830d2ea18: Pull complete 7ef957a691a9: Pull complete 6410003e6380: Pull complete 99b462ef4685: Pull complete Digest: sha256:ee1370892e35a7707afd41501039a3c90e173dd9ce9096b12b0e38a805d568f8 Status: Downloaded newer image for ocaml/opam@sha256:ee1370892e35a7707afd41501039a3c90e173dd9ce9096b12b0e38a805d568f8 2025-06-15 15:49.17 ---> using "d2f18e339fc62b9487ec937ac3577309d7eb0a63dee3b97d34f0497b3005480e" from cache /: (comment debian-12-5.3_ppc64_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 15:49.17 ---> using "e6b136681c35276cbef6d851cd2eb0b40e774f7ba585d83c9c254f621efae77f" 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 2025-06-15 15:49.17 ---> using "b9ebd07ba793e5cd7420df0a641bc46cc71fe76c38ff48e146dbbf954ba22e36" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 6.8.0-60-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-06-15 15:49.17 ---> using "97db4f2a7237e5b447638da04bf25fbec5db867405f5cfea6eed36787b7afbab" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-06-15 15:49.17 ---> using "217228fd459dffef0016164a6fa8e4db6ca9da8012f8f36b9d10355e7658d75c" 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 15:49.17 ---> using "340741e1efe6af9a3255426dc7f4dd7c2c3cb7cc46d3329ddeb8f164f4877ac6" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-06-15 15:49.17 ---> using "be34fcd82810ed4c9e04948a5adf757163194b6ea171d324811f1cef09bb2da3" 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 15:49.17 ---> using "b8a2d7f830fcb98af2dae35fd5cc2db85878c8f5b6620da00e77da5c12ef7e61" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-06-15 15:49.17 ---> using "770587d9798ae08d5afeb703896a2ffe857da0eb18a46c8dfecf8698416f54f9" 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 bookworm-updates/main ppc64el Packages.diff/Index [17.3 kB] - Get:5 http://deb.debian.org/debian bookworm-updates/main ppc64el Packages T-2025-06-13-1410.14-F-2025-06-13-1410.14.pdiff [434 B] - Get:5 http://deb.debian.org/debian bookworm-updates/main ppc64el Packages T-2025-06-13-1410.14-F-2025-06-13-1410.14.pdiff [434 B] - Get:6 http://deb.debian.org/debian-security bookworm-security/main ppc64el Packages [253 kB] - Fetched 374 kB in 1s (298 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:ppc64el. - (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 ... 18718 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_ppc64el.deb ... - Unpacking libffi-dev:ppc64el (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:ppc64el. - Preparing to unpack .../libpkgconf3_1.8.1-1_ppc64el.deb ... - Unpacking libpkgconf3:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:ppc64el. - Preparing to unpack .../pkgconf_1.8.1-1_ppc64el.deb ... - Unpacking pkgconf:ppc64el (1.8.1-1) ... - Selecting previously unselected package pkg-config:ppc64el. - Preparing to unpack .../pkg-config_1.8.1-1_ppc64el.deb ... - Unpacking pkg-config:ppc64el (1.8.1-1) ... - Setting up libffi-dev:ppc64el (3.4.4-1) ... - Setting up libpkgconf3:ppc64el (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:ppc64el (1.8.1-1) ... - Setting up pkg-config:ppc64el (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-06-15 15:49.17 ---> using "4f4954894cb90c5fba285f43eecb191fc3a9f2c19468bd241302be97ed81f82a" 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 angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved base.v0.17.3 (cached) -> retrieved bigarray-compat.1.1.0 (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 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 dune.3.19.1, dune-configurator.3.19.1 (cached) -> 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) -> installed cmdliner.1.3.0 -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved 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 ppxlib.0.35.0 (cached) -> 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 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 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 csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> 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 printbox.0.12 -> 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 parsexp.v0.17.0 -> installed dune-configurator.3.19.1 -> installed sexplib.v0.17.0 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.3 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed ppxlib.0.35.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed printbox-ext-plot.0.12 -> 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) 2025-06-15 15:49.17 ---> using "c84f20e200046b76e3d20d225ed5795cc85d0ec0ff3bf9c4dbbe93c8490fb542" from cache /src: (copy (src .) (dst /src)) 2025-06-15 15:49.20 ---> saved as "c9a17d8e3a0a08231ab8e2aab52c424bd7b976baceb087cb07e6acca328379d3" /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_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3c7e9dc51b42ec1f521d886aceb8cd9b/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/3c7e9dc51b42ec1f521d886aceb8cd9b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3c7e9dc51b42ec1f521d886aceb8cd9b/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/3c7e9dc51b42ec1f521d886aceb8cd9b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3c7e9dc51b42ec1f521d886aceb8cd9b/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7ce3c7004bf2f7d1ab81b92603cb1487/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3c7e9dc51b42ec1f521d886aceb8cd9b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3c7e9dc51b42ec1f521d886aceb8cd9b/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/3c7e9dc51b42ec1f521d886aceb8cd9b/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/3c7e9dc51b42ec1f521d886aceb8cd9b/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/3c7e9dc51b42ec1f521d886aceb8cd9b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3c7e9dc51b42ec1f521d886aceb8cd9b/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/3c7e9dc51b42ec1f521d886aceb8cd9b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3c7e9dc51b42ec1f521d886aceb8cd9b/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/3c7e9dc51b42ec1f521d886aceb8cd9b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3c7e9dc51b42ec1f521d886aceb8cd9b/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/3c7e9dc51b42ec1f521d886aceb8cd9b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3c7e9dc51b42ec1f521d886aceb8cd9b/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/3c7e9dc51b42ec1f521d886aceb8cd9b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/3c7e9dc51b42ec1f521d886aceb8cd9b/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/3c7e9dc51b42ec1f521d886aceb8cd9b/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 128)))) @!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=0.199750, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379 Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630 Batch=239, step=240, lr=0.199250, batch loss=0.850854, epoch loss=35.616485 Batch=299, step=300, lr=0.199000, batch loss=1.448342, epoch loss=37.064827 Batch=359, step=360, lr=0.198750, batch loss=1.335675, epoch loss=38.400501 Batch=419, step=420, lr=0.198500, batch loss=0.615054, epoch loss=39.015555 Batch=479, step=480, lr=0.198250, batch loss=0.811093, epoch loss=39.826648 Batch=539, step=540, lr=0.197750, batch loss=0.709001, epoch loss=40.535649 Batch=599, step=600, lr=0.197500, batch loss=1.067945, epoch loss=41.603594 Batch=659, step=660, lr=0.197500, batch loss=0.482453, epoch loss=42.086047 Batch=719, step=720, lr=0.197000, batch loss=0.411161, epoch loss=42.497208 Batch=779, step=780, lr=0.197000, batch loss=0.469334, epoch loss=42.966542 Batch=839, step=840, lr=0.196500, batch loss=0.443918, epoch loss=43.410460 Batch=899, step=900, lr=0.196250, batch loss=0.383070, epoch loss=43.793530 Batch=959, step=960, lr=0.196250, batch loss=0.241852, epoch loss=44.035382 Batch=1019, step=1020, lr=0.196000, batch loss=0.452130, epoch loss=44.487511 Batch=1079, step=1080, lr=0.195750, batch loss=0.259307, epoch loss=44.746819 Batch=1139, step=1140, lr=0.195500, batch loss=0.339526, epoch loss=45.086345 Batch=1199, step=1200, lr=0.195250, batch loss=0.261393, epoch loss=45.347738 Epoch=0, step=1200, lr=0.195250, epoch loss=45.347738 Batch=59, step=1260, lr=0.194750, batch loss=0.260697, epoch loss=0.260697 Batch=119, step=1320, lr=0.194500, batch loss=0.202970, epoch loss=0.463667 Batch=179, step=1380, lr=0.194250, batch loss=0.244148, epoch loss=0.707815 Batch=239, step=1440, lr=0.194000, batch loss=0.348205, epoch loss=1.056020 Batch=299, step=1500, lr=0.193750, batch loss=0.239288, epoch loss=1.295308 Batch=359, step=1560, lr=0.193500, batch loss=0.318857, epoch loss=1.614166 Batch=419, step=1620, lr=0.193500, batch loss=0.311679, epoch loss=1.925845 Batch=479, step=1680, lr=0.193250, batch loss=0.276000, epoch loss=2.201844 Batch=539, step=1740, lr=0.193000, batch loss=0.211696, epoch loss=2.413540 Batch=599, step=1800, lr=0.192750, batch loss=0.259564, epoch loss=2.673105 Batch=659, step=1860, lr=0.192500, batch loss=0.368515, epoch loss=3.041619 Batch=719, step=1920, lr=0.192000, batch loss=0.365712, epoch loss=3.407331 Batch=779, step=1980, lr=0.192000, batch loss=0.381262, epoch loss=3.788594 Batch=839, step=2040, lr=0.191750, batch loss=0.340730, epoch loss=4.129324 Batch=899, step=2100, lr=0.191500, batch loss=0.295462, epoch loss=4.424785 Batch=959, step=2160, lr=0.191250, batch loss=0.215874, epoch loss=4.640660 Batch=1019, step=2220, lr=0.191000, batch loss=0.327204, epoch loss=4.967864 Batch=1079, step=2280, lr=0.190500, batch loss=0.198616, epoch loss=5.166480 Batch=1139, step=2340, lr=0.190500, batch loss=0.267468, epoch loss=5.433948 Batch=1199, step=2400, lr=0.190250, batch loss=0.215397, epoch loss=5.649345 Epoch=1, step=2400, lr=0.190250, epoch loss=5.649345 Batch=59, step=2460, lr=0.189750, batch loss=0.227039, epoch loss=0.227039 Batch=119, step=2520, lr=0.189500, batch loss=0.186589, epoch loss=0.413628 Batch=179, step=2580, lr=0.189500, batch loss=0.218583, epoch loss=0.632211 Batch=239, step=2640, lr=0.189250, batch loss=0.327197, epoch loss=0.959408 Batch=299, step=2700, lr=0.189000, batch loss=0.221283, epoch loss=1.180691 Batch=359, step=2760, lr=0.188750, batch loss=0.297444, epoch loss=1.478135 Batch=419, step=2820, lr=0.188250, batch loss=0.287318, epoch loss=1.765453 Batch=479, step=2880, lr=0.188250, batch loss=0.261140, epoch loss=2.026594 Batch=539, step=2940, lr=0.187750, batch loss=0.201578, epoch loss=2.228172 Batch=599, step=3000, lr=0.187750, batch loss=0.246601, epoch loss=2.474773 Batch=659, step=3060, lr=0.187500, batch loss=0.348721, epoch loss=2.823494 Batch=719, step=3120, lr=0.187000, batch loss=0.348385, epoch loss=3.171879 Batch=779, step=3180, lr=0.187000, batch loss=0.362380, epoch loss=3.534259 Batch=839, step=3240, lr=0.186500, batch loss=0.325085, epoch loss=3.859344 Batch=899, step=3300, lr=0.186500, batch loss=0.294435, epoch loss=4.153778 Batch=959, step=3360, lr=0.186250, batch loss=0.227235, epoch loss=4.381014 Batch=1019, step=3420, lr=0.186000, batch loss=0.344702, epoch loss=4.725716 Batch=1079, step=3480, lr=0.185500, batch loss=0.223627, epoch loss=4.949343 Batch=1139, step=3540, lr=0.185500, batch loss=0.265959, epoch loss=5.215302 Batch=1199, step=3600, lr=0.185250, batch loss=0.199672, epoch loss=5.414975 Epoch=2, step=3600, lr=0.185250, epoch loss=5.414975 Batch=59, step=3660, lr=0.184750, batch loss=0.226503, epoch loss=0.226503 Batch=119, step=3720, lr=0.184750, batch loss=0.188683, epoch loss=0.415187 Batch=179, step=3780, lr=0.184500, batch loss=0.212956, epoch loss=0.628143 Batch=239, step=3840, lr=0.184000, batch loss=0.316994, epoch loss=0.945136 Batch=299, step=3900, lr=0.183750, batch loss=0.204335, epoch loss=1.149472 Batch=359, step=3960, lr=0.183750, batch loss=0.282251, epoch loss=1.431723 Batch=419, step=4020, lr=0.183250, batch loss=0.271952, epoch loss=1.703675 Batch=479, step=4080, lr=0.183250, batch loss=0.248506, epoch loss=1.952181 Batch=539, step=4140, lr=0.182750, batch loss=0.194948, epoch loss=2.147129 Batch=599, step=4200, lr=0.182750, batch loss=0.229232, epoch loss=2.376361 Batch=659, step=4260, lr=0.182500, batch loss=0.331128, epoch loss=2.707490 Batch=719, step=4320, lr=0.182250, batch loss=0.331973, epoch loss=3.039463 Batch=779, step=4380, lr=0.182000, batch loss=0.359720, epoch loss=3.399183 Batch=839, step=4440, lr=0.181750, batch loss=0.318666, epoch loss=3.717849 Batch=899, step=4500, lr=0.181500, batch loss=0.292741, epoch loss=4.010590 Batch=959, step=4560, lr=0.181000, batch loss=0.242736, epoch loss=4.253326 Batch=1019, step=4620, lr=0.181000, batch loss=0.341066, epoch loss=4.594391 Batch=1079, step=4680, lr=0.180750, batch loss=0.199374, epoch loss=4.793765 Batch=1139, step=4740, lr=0.180500, batch loss=0.238545, epoch loss=5.032310 Batch=1199, step=4800, lr=0.180000, batch loss=0.191975, epoch loss=5.224285 Epoch=3, step=4800, lr=0.180000, epoch loss=5.224285 Batch=59, step=4860, lr=0.180000, batch loss=0.223882, epoch loss=0.223882 Batch=119, step=4920, lr=0.179500, batch loss=0.187348, epoch loss=0.411230 Batch=179, step=4980, lr=0.179250, batch loss=0.205820, epoch loss=0.617050 Batch=239, step=5040, lr=0.179000, batch loss=0.308029, epoch loss=0.925079 Batch=299, step=5100, lr=0.178750, batch loss=0.207593, epoch loss=1.132672 Batch=359, step=5160, lr=0.178500, batch loss=0.274914, epoch loss=1.407586 Batch=419, step=5220, lr=0.178500, batch loss=0.268839, epoch loss=1.676426 Batch=479, step=5280, lr=0.178250, batch loss=0.247350, epoch loss=1.923776 Batch=539, step=5340, lr=0.178000, batch loss=0.193319, epoch loss=2.117095 Batch=599, step=5400, lr=0.177750, batch loss=0.226424, epoch loss=2.343518 Batch=659, step=5460, lr=0.177500, batch loss=0.325435, epoch loss=2.668954 Batch=719, step=5520, lr=0.177000, batch loss=0.333897, epoch loss=3.002851 Batch=779, step=5580, lr=0.177000, batch loss=0.343546, epoch loss=3.346397 Batch=839, step=5640, lr=0.176750, batch loss=0.309396, epoch loss=3.655793 Batch=899, step=5700, lr=0.176250, batch loss=0.271758, epoch loss=3.927551 Batch=959, step=5760, lr=0.176250, batch loss=0.216975, epoch loss=4.144526 Batch=1019, step=5820, lr=0.175750, batch loss=0.333146, epoch loss=4.477672 Batch=1079, step=5880, lr=0.175750, batch loss=0.188388, epoch loss=4.666060 Batch=1139, step=5940, lr=0.175500, batch loss=0.222013, epoch loss=4.888072 Batch=1199, step=6000, lr=0.175250, batch loss=0.187000, epoch loss=5.075073 Epoch=4, step=6000, lr=0.175250, epoch loss=5.075073 Batch=59, step=6060, lr=0.174750, batch loss=0.231371, epoch loss=0.231371 Batch=119, step=6120, lr=0.174750, batch loss=0.194079, epoch loss=0.425449 Batch=179, step=6180, lr=0.174500, batch loss=0.201236, epoch loss=0.626685 Batch=239, step=6240, lr=0.174250, batch loss=0.303321, epoch loss=0.930006 Batch=299, step=6300, lr=0.173750, batch loss=0.211466, epoch loss=1.141472 Batch=359, step=6360, lr=0.173750, batch loss=0.271157, epoch loss=1.412630 Batch=419, step=6420, lr=0.173250, batch loss=0.263821, epoch loss=1.676451 Batch=479, step=6480, lr=0.173250, batch loss=0.245758, epoch loss=1.922209 Batch=539, step=6540, lr=0.173000, batch loss=0.191048, epoch loss=2.113257 Batch=599, step=6600, lr=0.172750, batch loss=0.231356, epoch loss=2.344613 Batch=659, step=6660, lr=0.172500, batch loss=0.314437, epoch loss=2.659051 Batch=719, step=6720, lr=0.172250, batch loss=0.316439, epoch loss=2.975489 Batch=779, step=6780, lr=0.172000, batch loss=0.331713, epoch loss=3.307202 Batch=839, step=6840, lr=0.171750, batch loss=0.306127, epoch loss=3.613329 Batch=899, step=6900, lr=0.171500, batch loss=0.269913, epoch loss=3.883242 Batch=959, step=6960, lr=0.171250, batch loss=0.206499, epoch loss=4.089741 Batch=1019, step=7020, lr=0.171000, batch loss=0.332969, epoch loss=4.422710 Batch=1079, step=7080, lr=0.170750, batch loss=0.192806, epoch loss=4.615516 Batch=1139, step=7140, lr=0.170500, batch loss=0.226452, epoch loss=4.841968 Batch=1199, step=7200, lr=0.170250, batch loss=0.179707, epoch loss=5.021675 Epoch=5, step=7200, lr=0.170250, epoch loss=5.021675 Batch=59, step=7260, lr=0.170000, batch loss=0.219431, epoch loss=0.219431 Batch=119, step=7320, lr=0.169500, batch loss=0.179029, epoch loss=0.398460 Batch=179, step=7380, lr=0.169500, batch loss=0.196057, epoch loss=0.594517 Batch=239, step=7440, lr=0.169250, batch loss=0.294603, epoch loss=0.889121 Batch=299, step=7500, lr=0.169000, batch loss=0.205084, epoch loss=1.094205 Batch=359, step=7560, lr=0.168750, batch loss=0.262909, epoch loss=1.357114 Batch=419, step=7620, lr=0.168250, batch loss=0.258350, epoch loss=1.615464 Batch=479, step=7680, lr=0.168000, batch loss=0.235386, epoch loss=1.850850 Batch=539, step=7740, lr=0.167750, batch loss=0.190105, epoch loss=2.040955 Batch=599, step=7800, lr=0.167750, batch loss=0.222941, epoch loss=2.263896 Batch=659, step=7860, lr=0.167250, batch loss=0.305676, epoch loss=2.569572 Batch=719, step=7920, lr=0.167250, batch loss=0.310321, epoch loss=2.879893 Batch=779, step=7980, lr=0.166750, batch loss=0.329335, epoch loss=3.209228 Batch=839, step=8040, lr=0.166500, batch loss=0.293564, epoch loss=3.502793 Batch=899, step=8100, lr=0.166250, batch loss=0.263329, epoch loss=3.766121 Batch=959, step=8160, lr=0.166000, batch loss=0.194221, epoch loss=3.960342 Batch=1019, step=8220, lr=0.166000, batch loss=0.312554, epoch loss=4.272896 Batch=1079, step=8280, lr=0.165750, batch loss=0.173370, epoch loss=4.446267 Batch=1139, step=8340, lr=0.165250, batch loss=0.209788, epoch loss=4.656055 Batch=1199, step=8400, lr=0.165000, batch loss=0.178880, epoch loss=4.834934 Epoch=6, step=8400, lr=0.165000, epoch loss=4.834934 Batch=59, step=8460, lr=0.165000, batch loss=0.230931, epoch loss=0.230931 Batch=119, step=8520, lr=0.164750, batch loss=0.174464, epoch loss=0.405396 Batch=179, step=8580, lr=0.164500, batch loss=0.188246, epoch loss=0.593641 Batch=239, step=8640, lr=0.164250, batch loss=0.278150, epoch loss=0.871791 Batch=299, step=8700, lr=0.164000, batch loss=0.191119, epoch loss=1.062910 Batch=359, step=8760, lr=0.163500, batch loss=0.250186, epoch loss=1.313096 Batch=419, step=8820, lr=0.163250, batch loss=0.245542, epoch loss=1.558638 Batch=479, step=8880, lr=0.163250, batch loss=0.228041, epoch loss=1.786679 Batch=539, step=8940, lr=0.163000, batch loss=0.180146, epoch loss=1.966825 Batch=599, step=9000, lr=0.162750, batch loss=0.216641, epoch loss=2.183467 Batch=659, step=9060, lr=0.162250, batch loss=0.294933, epoch loss=2.478399 Batch=719, step=9120, lr=0.162000, batch loss=0.297046, epoch loss=2.775446 Batch=779, step=9180, lr=0.162000, batch loss=0.315997, epoch loss=3.091443 Batch=839, step=9240, lr=0.161750, batch loss=0.280673, epoch loss=3.372115 Batch=899, step=9300, lr=0.161500, batch loss=0.253912, epoch loss=3.626027 Batch=959, step=9360, lr=0.161250, batch loss=0.208902, epoch loss=3.834930 Batch=1019, step=9420, lr=0.160750, batch loss=0.298939, epoch loss=4.133868 Batch=1079, step=9480, lr=0.160500, batch loss=0.169870, epoch loss=4.303739 Batch=1139, step=9540, lr=0.160500, batch loss=0.201737, epoch loss=4.505476 Batch=1199, step=9600, lr=0.160000, batch loss=0.165317, epoch loss=4.670793 Epoch=7, step=9600, lr=0.160000, epoch loss=4.670793 Batch=59, step=9660, lr=0.159750, batch loss=0.189192, epoch loss=0.189192 Batch=119, step=9720, lr=0.159750, batch loss=0.164430, epoch loss=0.353621 Batch=179, step=9780, lr=0.159500, batch loss=0.178760, epoch loss=0.532381 Batch=239, step=9840, lr=0.159000, batch loss=0.261038, epoch loss=0.793420 Batch=299, step=9900, lr=0.159000, batch loss=0.178253, epoch loss=0.971673 Batch=359, step=9960, lr=0.158750, batch loss=0.237056, epoch loss=1.208729 Batch=419, step=10020, lr=0.158500, batch loss=0.234344, epoch loss=1.443073 Batch=479, step=10080, lr=0.158250, batch loss=0.212958, epoch loss=1.656031 Batch=539, step=10140, lr=0.158000, batch loss=0.172289, epoch loss=1.828320 Batch=599, step=10200, lr=0.157750, batch loss=0.200788, epoch loss=2.029108 Batch=659, step=10260, lr=0.157250, batch loss=0.280770, epoch loss=2.309878 Batch=719, step=10320, lr=0.157000, batch loss=0.281859, epoch loss=2.591737 Batch=779, step=10380, lr=0.156750, batch loss=0.296887, epoch loss=2.888624 Batch=839, step=10440, lr=0.156750, batch loss=0.272080, epoch loss=3.160704 Batch=899, step=10500, lr=0.156500, batch loss=0.239491, epoch loss=3.400195 Batch=959, step=10560, lr=0.156250, batch loss=0.199618, epoch loss=3.599812 Batch=1019, step=10620, lr=0.156000, batch loss=0.281262, epoch loss=3.881075 Batch=1079, step=10680, lr=0.155750, batch loss=0.171726, epoch loss=4.052800 Batch=1139, step=10740, lr=0.155500, batch loss=0.198548, epoch loss=4.251349 Batch=1199, step=10800, lr=0.155250, batch loss=0.155932, epoch loss=4.407280 Epoch=8, step=10800, lr=0.155250, epoch loss=4.407280 Batch=59, step=10860, lr=0.155000, batch loss=0.189714, epoch loss=0.189714 Batch=119, step=10920, lr=0.154500, batch loss=0.164086, epoch loss=0.353800 Batch=179, step=10980, lr=0.154500, batch loss=0.167657, epoch loss=0.521457 Batch=239, step=11040, lr=0.154250, batch loss=0.243548, epoch loss=0.765005 Batch=299, step=11100, lr=0.153750, batch loss=0.170126, epoch loss=0.935131 Batch=359, step=11160, lr=0.153750, batch loss=0.220290, epoch loss=1.155421 Batch=419, step=11220, lr=0.153500, batch loss=0.217802, epoch loss=1.373223 Batch=479, step=11280, lr=0.153250, batch loss=0.211783, epoch loss=1.585005 Batch=539, step=11340, lr=0.153000, batch loss=0.162744, epoch loss=1.747749 Batch=599, step=11400, lr=0.152750, batch loss=0.177711, epoch loss=1.925460 Batch=659, step=11460, lr=0.152500, batch loss=0.267928, epoch loss=2.193388 Batch=719, step=11520, lr=0.152250, batch loss=0.264939, epoch loss=2.458327 Batch=779, step=11580, lr=0.151750, batch loss=0.274436, epoch loss=2.732763 Batch=839, step=11640, lr=0.151500, batch loss=0.251280, epoch loss=2.984043 Batch=899, step=11700, lr=0.151500, batch loss=0.221136, epoch loss=3.205179 Batch=959, step=11760, lr=0.151250, batch loss=0.186362, epoch loss=3.391541 Batch=1019, step=11820, lr=0.150750, batch loss=0.292968, epoch loss=3.684508 Batch=1079, step=11880, lr=0.150750, batch loss=0.144267, epoch loss=3.828776 Batch=1139, step=11940, lr=0.150250, batch loss=0.181780, epoch loss=4.010556 Batch=1199, step=12000, lr=0.150000, batch loss=0.140310, epoch loss=4.150866 Epoch=9, step=12000, lr=0.150000, epoch loss=4.150866 Batch=59, step=12060, lr=0.150000, batch loss=0.160913, epoch loss=0.160913 Batch=119, step=12120, lr=0.149750, batch loss=0.128908, epoch loss=0.289821 Batch=179, step=12180, lr=0.149500, batch loss=0.153858, epoch loss=0.443679 Batch=239, step=12240, lr=0.149250, batch loss=0.220689, epoch loss=0.664367 Batch=299, step=12300, lr=0.149000, batch loss=0.141508, epoch loss=0.805875 Batch=359, step=12360, lr=0.148750, batch loss=0.198340, epoch loss=1.004216 Batch=419, step=12420, lr=0.148500, batch loss=0.206769, epoch loss=1.210985 Batch=479, step=12480, lr=0.148000, batch loss=0.180587, epoch loss=1.391572 Batch=539, step=12540, lr=0.148000, batch loss=0.143007, epoch loss=1.534579 Batch=599, step=12600, lr=0.147750, batch loss=0.151908, epoch loss=1.686487 Batch=659, step=12660, lr=0.147500, batch loss=0.225851, epoch loss=1.912338 Batch=719, step=12720, lr=0.147000, batch loss=0.234611, epoch loss=2.146949 Batch=779, step=12780, lr=0.147000, batch loss=0.255951, epoch loss=2.402901 Batch=839, step=12840, lr=0.146500, batch loss=0.225025, epoch loss=2.627925 Batch=899, step=12900, lr=0.146500, batch loss=0.187582, epoch loss=2.815507 Batch=959, step=12960, lr=0.146000, batch loss=0.151635, epoch loss=2.967142 Batch=1019, step=13020, lr=0.146000, batch loss=0.265072, epoch loss=3.232215 Batch=1079, step=13080, lr=0.145500, batch loss=0.114849, epoch loss=3.347064 Batch=1139, step=13140, lr=0.145250, batch loss=0.150442, epoch loss=3.497506 Batch=1199, step=13200, lr=0.145250, batch loss=0.118009, epoch loss=3.615514 Epoch=10, step=13200, lr=0.145250, epoch loss=3.615514 Batch=59, step=13260, lr=0.144750, batch loss=0.139154, epoch loss=0.139154 Batch=119, step=13320, lr=0.144500, batch loss=0.117164, epoch loss=0.256317 Batch=179, step=13380, lr=0.144250, batch loss=0.128966, epoch loss=0.385284 Batch=239, step=13440, lr=0.144000, batch loss=0.189175, epoch loss=0.574459 Batch=299, step=13500, lr=0.143750, batch loss=0.114256, epoch loss=0.688715 Batch=359, step=13560, lr=0.143750, batch loss=0.162565, epoch loss=0.851280 Batch=419, step=13620, lr=0.143250, batch loss=0.160028, epoch loss=1.011307 Batch=479, step=13680, lr=0.143000, batch loss=0.148608, epoch loss=1.159915 Batch=539, step=13740, lr=0.142750, batch loss=0.118247, epoch loss=1.278163 Batch=599, step=13800, lr=0.142750, batch loss=0.121822, epoch loss=1.399984 Batch=659, step=13860, lr=0.142250, batch loss=0.181701, epoch loss=1.581685 Batch=719, step=13920, lr=0.142000, batch loss=0.198464, epoch loss=1.780149 Batch=779, step=13980, lr=0.141750, batch loss=0.234089, epoch loss=2.014238 Batch=839, step=14040, lr=0.141500, batch loss=0.199942, epoch loss=2.214179 Batch=899, step=14100, lr=0.141250, batch loss=0.209236, epoch loss=2.423416 Batch=959, step=14160, lr=0.141000, batch loss=0.107946, epoch loss=2.531362 Batch=1019, step=14220, lr=0.140750, batch loss=0.193413, epoch loss=2.724775 Batch=1079, step=14280, lr=0.140750, batch loss=0.078700, epoch loss=2.803475 Batch=1139, step=14340, lr=0.140500, batch loss=0.122650, epoch loss=2.926125 Batch=1199, step=14400, lr=0.140250, batch loss=0.088211, epoch loss=3.014336 Epoch=11, step=14400, lr=0.140250, epoch loss=3.014336 Batch=59, step=14460, lr=0.139750, batch loss=0.106263, epoch loss=0.106263 Batch=119, step=14520, lr=0.139750, batch loss=0.100887, epoch loss=0.207150 Batch=179, step=14580, lr=0.139250, batch loss=0.099521, epoch loss=0.306671 Batch=239, step=14640, lr=0.139000, batch loss=0.147494, epoch loss=0.454164 Batch=299, step=14700, lr=0.139000, batch loss=0.113794, epoch loss=0.567958 Batch=359, step=14760, lr=0.138750, batch loss=0.134949, epoch loss=0.702907 Batch=419, step=14820, lr=0.138500, batch loss=0.183981, epoch loss=0.886888 Batch=479, step=14880, lr=0.138250, batch loss=0.090047, epoch loss=0.976935 Batch=539, step=14940, lr=0.138000, batch loss=0.076426, epoch loss=1.053362 Batch=599, step=15000, lr=0.137750, batch loss=0.113627, epoch loss=1.166988 Batch=659, step=15060, lr=0.137500, batch loss=0.129103, epoch loss=1.296092 Batch=719, step=15120, lr=0.137250, batch loss=0.127338, epoch loss=1.423429 Batch=779, step=15180, lr=0.136750, batch loss=0.133463, epoch loss=1.556892 Batch=839, step=15240, lr=0.136500, batch loss=0.147492, epoch loss=1.704384 Batch=899, step=15300, lr=0.136500, batch loss=0.143086, epoch loss=1.847470 Batch=959, step=15360, lr=0.136000, batch loss=0.112065, epoch loss=1.959534 Batch=1019, step=15420, lr=0.136000, batch loss=0.265325, epoch loss=2.224860 Batch=1079, step=15480, lr=0.135750, batch loss=0.036132, epoch loss=2.260992 Batch=1139, step=15540, lr=0.135250, batch loss=0.077385, epoch loss=2.338378 Batch=1199, step=15600, lr=0.135250, batch loss=0.052640, epoch loss=2.391017 Epoch=12, step=15600, lr=0.135250, epoch loss=2.391017 Batch=59, step=15660, lr=0.135000, batch loss=0.068154, epoch loss=0.068154 Batch=119, step=15720, lr=0.134500, batch loss=0.080285, epoch loss=0.148439 Batch=179, step=15780, lr=0.134250, batch loss=0.076019, epoch loss=0.224458 Batch=239, step=15840, lr=0.134000, batch loss=0.099507, epoch loss=0.323965 Batch=299, step=15900, lr=0.133750, batch loss=0.091642, epoch loss=0.415607 Batch=359, step=15960, lr=0.133500, batch loss=0.089662, epoch loss=0.505269 Batch=419, step=16020, lr=0.133500, batch loss=0.118770, epoch loss=0.624039 Batch=479, step=16080, lr=0.133250, batch loss=0.048548, epoch loss=0.672587 Batch=539, step=16140, lr=0.133000, batch loss=0.042699, epoch loss=0.715286 Batch=599, step=16200, lr=0.132750, batch loss=0.056812, epoch loss=0.772098 Batch=659, step=16260, lr=0.132250, batch loss=0.096313, epoch loss=0.868411 Batch=719, step=16320, lr=0.132250, batch loss=0.131015, epoch loss=0.999426 Batch=779, step=16380, lr=0.132000, batch loss=0.346060, epoch loss=1.345486 Batch=839, step=16440, lr=0.131750, batch loss=0.097343, epoch loss=1.442830 Batch=899, step=16500, lr=0.131500, batch loss=0.077592, epoch loss=1.520422 Batch=959, step=16560, lr=0.131000, batch loss=0.039069, epoch loss=1.559491 Batch=1019, step=16620, lr=0.131000, batch loss=0.086997, epoch loss=1.646488 Batch=1079, step=16680, lr=0.130500, batch loss=0.030450, epoch loss=1.676938 Batch=1139, step=16740, lr=0.130250, batch loss=0.069138, epoch loss=1.746076 Batch=1199, step=16800, lr=0.130000, batch loss=0.033099, epoch loss=1.779174 Epoch=13, step=16800, lr=0.130000, epoch loss=1.779174 Batch=59, step=16860, lr=0.130000, batch loss=0.040224, epoch loss=0.040224 Batch=119, step=16920, lr=0.129750, batch loss=0.048682, epoch loss=0.088906 Batch=179, step=16980, lr=0.129250, batch loss=0.051028, epoch loss=0.139934 Batch=239, step=17040, lr=0.129250, batch loss=0.075340, epoch loss=0.215274 Batch=299, step=17100, lr=0.129000, batch loss=0.082956, epoch loss=0.298230 Batch=359, step=17160, lr=0.128750, batch loss=0.050023, epoch loss=0.348254 Batch=419, step=17220, lr=0.128500, batch loss=0.051273, epoch loss=0.399527 Batch=479, step=17280, lr=0.128250, batch loss=0.034911, epoch loss=0.434438 Batch=539, step=17340, lr=0.128000, batch loss=0.063151, epoch loss=0.497590 Batch=599, step=17400, lr=0.127500, batch loss=0.037623, epoch loss=0.535213 Batch=659, step=17460, lr=0.127500, batch loss=0.053208, epoch loss=0.588421 Batch=719, step=17520, lr=0.127250, batch loss=0.067905, epoch loss=0.656327 Batch=779, step=17580, lr=0.127000, batch loss=0.069270, epoch loss=0.725597 Batch=839, step=17640, lr=0.126750, batch loss=0.100731, epoch loss=0.826328 Batch=899, step=17700, lr=0.126500, batch loss=0.048571, epoch loss=0.874899 Batch=959, step=17760, lr=0.126250, batch loss=0.018715, epoch loss=0.893614 Batch=1019, step=17820, lr=0.126000, batch loss=0.052916, epoch loss=0.946530 Batch=1079, step=17880, lr=0.125500, batch loss=0.044965, epoch loss=0.991495 Batch=1139, step=17940, lr=0.125500, batch loss=0.083234, epoch loss=1.074729 Batch=1199, step=18000, lr=0.125250, batch loss=0.024958, epoch loss=1.099687 Epoch=14, step=18000, lr=0.125250, epoch loss=1.099687 Batch=59, step=18060, lr=0.124750, batch loss=0.017181, epoch loss=0.017181 Batch=119, step=18120, lr=0.124500, batch loss=0.022837, epoch loss=0.040018 Batch=179, step=18180, lr=0.124500, batch loss=0.040763, epoch loss=0.080781 Batch=239, step=18240, lr=0.124000, batch loss=0.041799, epoch loss=0.122580 Batch=299, step=18300, lr=0.124000, batch loss=0.017537, epoch loss=0.140117 Batch=359, step=18360, lr=0.123500, batch loss=0.025777, epoch loss=0.165894 Batch=419, step=18420, lr=0.123500, batch loss=0.027154, epoch loss=0.193048 Batch=479, step=18480, lr=0.123250, batch loss=0.010058, epoch loss=0.203106 Batch=539, step=18540, lr=0.122750, batch loss=0.021788, epoch loss=0.224894 Batch=599, step=18600, lr=0.122750, batch loss=0.031148, epoch loss=0.256042 Batch=659, step=18660, lr=0.122500, batch loss=0.025008, epoch loss=0.281051 Batch=719, step=18720, lr=0.122250, batch loss=0.052680, epoch loss=0.333731 Batch=779, step=18780, lr=0.121750, batch loss=0.084397, epoch loss=0.418128 Batch=839, step=18840, lr=0.121500, batch loss=0.049561, epoch loss=0.467690 Batch=899, step=18900, lr=0.121250, batch loss=0.049272, epoch loss=0.516961 Batch=959, step=18960, lr=0.121250, batch loss=0.014090, epoch loss=0.531051 Batch=1019, step=19020, lr=0.120750, batch loss=0.021431, epoch loss=0.552482 Batch=1079, step=19080, lr=0.120750, batch loss=0.012240, epoch loss=0.564723 Batch=1139, step=19140, lr=0.120500, batch loss=0.029944, epoch loss=0.594667 Batch=1199, step=19200, lr=0.120250, batch loss=0.011878, epoch loss=0.606545 Epoch=15, step=19200, lr=0.120250, epoch loss=0.606545 Batch=59, step=19260, lr=0.120000, batch loss=0.010799, epoch loss=0.010799 Batch=119, step=19320, lr=0.119750, batch loss=0.027250, epoch loss=0.038049 Batch=179, step=19380, lr=0.119500, batch loss=0.079356, epoch loss=0.117405 Batch=239, step=19440, lr=0.119250, batch loss=0.030591, epoch loss=0.147996 Batch=299, step=19500, lr=0.119000, batch loss=0.012551, epoch loss=0.160547 Batch=359, step=19560, lr=0.118750, batch loss=0.023213, epoch loss=0.183759 Batch=419, step=19620, lr=0.118250, batch loss=0.020026, epoch loss=0.203785 Batch=479, step=19680, lr=0.118000, batch loss=0.006396, epoch loss=0.210181 Batch=539, step=19740, lr=0.117750, batch loss=0.019468, epoch loss=0.229649 Batch=599, step=19800, lr=0.117750, batch loss=0.024650, epoch loss=0.254300 Batch=659, step=19860, lr=0.117500, batch loss=0.022564, epoch loss=0.276863 Batch=719, step=19920, lr=0.117250, batch loss=0.047421, epoch loss=0.324284 Batch=779, step=19980, lr=0.117000, batch loss=0.083523, epoch loss=0.407807 Batch=839, step=20040, lr=0.116500, batch loss=0.030526, epoch loss=0.438334 Batch=899, step=20100, lr=0.116500, batch loss=0.032057, epoch loss=0.470391 Batch=959, step=20160, lr=0.116250, batch loss=0.011077, epoch loss=0.481468 Batch=1019, step=20220, lr=0.116000, batch loss=0.014342, epoch loss=0.495810 Batch=1079, step=20280, lr=0.115750, batch loss=0.001764, epoch loss=0.497574 Batch=1139, step=20340, lr=0.115500, batch loss=0.015009, epoch loss=0.512583 Batch=1199, step=20400, lr=0.115250, batch loss=0.006560, epoch loss=0.519143 Epoch=16, step=20400, lr=0.115250, epoch loss=0.519143 Batch=59, step=20460, lr=0.115000, batch loss=0.003373, epoch loss=0.003373 Batch=119, step=20520, lr=0.114750, batch loss=0.008259, epoch loss=0.011632 Batch=179, step=20580, lr=0.114500, batch loss=0.015139, epoch loss=0.026771 Batch=239, step=20640, lr=0.114250, batch loss=0.013318, epoch loss=0.040089 Batch=299, step=20700, lr=0.114000, batch loss=0.003325, epoch loss=0.043414 Batch=359, step=20760, lr=0.113750, batch loss=0.012706, epoch loss=0.056120 Batch=419, step=20820, lr=0.113500, batch loss=0.016153, epoch loss=0.072273 Batch=479, step=20880, lr=0.113250, batch loss=0.006908, epoch loss=0.079181 Batch=539, step=20940, lr=0.113000, batch loss=0.014985, epoch loss=0.094165 Batch=599, step=21000, lr=0.112750, batch loss=0.018004, epoch loss=0.112170 Batch=659, step=21060, lr=0.112500, batch loss=0.013674, epoch loss=0.125844 Batch=719, step=21120, lr=0.112250, batch loss=0.028347, epoch loss=0.154191 Batch=779, step=21180, lr=0.112000, batch loss=0.043851, epoch loss=0.198042 Batch=839, step=21240, lr=0.111750, batch loss=0.028838, epoch loss=0.226880 Batch=899, step=21300, lr=0.111500, batch loss=0.028817, epoch loss=0.255697 Batch=959, step=21360, lr=0.111000, batch loss=0.013090, epoch loss=0.268787 Batch=1019, step=21420, lr=0.110750, batch loss=0.010674, epoch loss=0.279461 Batch=1079, step=21480, lr=0.110500, batch loss=0.002194, epoch loss=0.281655 Batch=1139, step=21540, lr=0.110250, batch loss=0.012369, epoch loss=0.294024 Batch=1199, step=21600, lr=0.110000, batch loss=0.005136, epoch loss=0.299161 Epoch=17, step=21600, lr=0.110000, epoch loss=0.299161 Batch=59, step=21660, lr=0.109750, batch loss=0.002560, epoch loss=0.002560 Batch=119, step=21720, lr=0.109750, batch loss=0.006712, epoch loss=0.009272 Batch=179, step=21780, lr=0.109250, batch loss=0.012143, epoch loss=0.021415 Batch=239, step=21840, lr=0.109000, batch loss=0.009188, epoch loss=0.030604 Batch=299, step=21900, lr=0.108750, batch loss=0.008899, epoch loss=0.039503 Batch=359, step=21960, lr=0.108500, batch loss=0.014591, epoch loss=0.054094 Batch=419, step=22020, lr=0.108250, batch loss=0.013388, epoch loss=0.067482 Batch=479, step=22080, lr=0.108000, batch loss=0.002816, epoch loss=0.070298 Batch=539, step=22140, lr=0.107750, batch loss=0.016420, epoch loss=0.086718 Batch=599, step=22200, lr=0.107750, batch loss=0.015799, epoch loss=0.102517 Batch=659, step=22260, lr=0.107250, batch loss=0.011775, epoch loss=0.114292 Batch=719, step=22320, lr=0.107000, batch loss=0.017285, epoch loss=0.131577 Batch=779, step=22380, lr=0.107000, batch loss=0.024749, epoch loss=0.156326 Batch=839, step=22440, lr=0.106750, batch loss=0.027406, epoch loss=0.183733 Batch=899, step=22500, lr=0.106500, batch loss=0.024930, epoch loss=0.208663 Batch=959, step=22560, lr=0.106250, batch loss=0.009309, epoch loss=0.217972 Batch=1019, step=22620, lr=0.105750, batch loss=0.009940, epoch loss=0.227911 Batch=1079, step=22680, lr=0.105500, batch loss=0.001631, epoch loss=0.229542 Batch=1139, step=22740, lr=0.105250, batch loss=0.011071, epoch loss=0.240614 Batch=1199, step=22800, lr=0.105250, batch loss=0.005155, epoch loss=0.245768 Epoch=18, step=22800, lr=0.105250, epoch loss=0.245768 Batch=59, step=22860, lr=0.104750, batch loss=0.002303, epoch loss=0.002303 Batch=119, step=22920, lr=0.104500, batch loss=0.005501, epoch loss=0.007804 Batch=179, step=22980, lr=0.104250, batch loss=0.012081, epoch loss=0.019886 Batch=239, step=23040, lr=0.104000, batch loss=0.008467, epoch loss=0.028353 Batch=299, step=23100, lr=0.103750, batch loss=0.004259, epoch loss=0.032611 Batch=359, step=23160, lr=0.103500, batch loss=0.012024, epoch loss=0.044635 Batch=419, step=23220, lr=0.103250, batch loss=0.010419, epoch loss=0.055055 Batch=479, step=23280, lr=0.103250, batch loss=0.004425, epoch loss=0.059480 Batch=539, step=23340, lr=0.102750, batch loss=0.014547, epoch loss=0.074027 Batch=599, step=23400, lr=0.102500, batch loss=0.014453, epoch loss=0.088480 Batch=659, step=23460, lr=0.102250, batch loss=0.013273, epoch loss=0.101753 Batch=719, step=23520, lr=0.102250, batch loss=0.015555, epoch loss=0.117307 Batch=779, step=23580, lr=0.102000, batch loss=0.022332, epoch loss=0.139640 Batch=839, step=23640, lr=0.101500, batch loss=0.026031, epoch loss=0.165671 Batch=899, step=23700, lr=0.101500, batch loss=0.021442, epoch loss=0.187113 Batch=959, step=23760, lr=0.101250, batch loss=0.008115, epoch loss=0.195227 Batch=1019, step=23820, lr=0.100750, batch loss=0.008413, epoch loss=0.203640 Batch=1079, step=23880, lr=0.100500, batch loss=0.001785, epoch loss=0.205425 Batch=1139, step=23940, lr=0.100250, batch loss=0.008623, epoch loss=0.214048 Batch=1199, step=24000, lr=0.100250, batch loss=0.004512, epoch loss=0.218560 Epoch=19, step=24000, lr=0.100250, epoch loss=0.218560 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 2025-06-15 15:49.54: Job failed: Failed: Build failed