2025-03-21 13:23.09: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (d63fdf0da2bdea174a1f4139e51107496c5013e8) (linux-ppc64:debian-12-5.3_ppc64_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard d63fdf0d cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d # 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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 13:23.09: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d-debian-12-5.3_ppc64_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 13:23.09: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d) (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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 13:23.09: Waiting for resource in pool OCluster 2025-03-21 13:23.10: Waiting for worker… 2025-03-21 13:23.10: Got resource from pool OCluster Building on orithia.caelum.ci.dev HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code HEAD is now at d63fdf0d Expose and test the new unary ops (from ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d) Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d' locally docker.io/ocaml/opam@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d: Pulling from ocaml/opam Digest: sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d Status: Downloaded newer image for ocaml/opam@sha256:f2b8363fb8d81f7075780a9fedf2c8e551d1daf8e28291b8f1b8d85ac95ee27d 2025-03-21 13:23.10 ---> using "f3507cfdd9cda6c78222b1c8f3d9d43d96f1c1996e9ce4244e4686d98b61ddea" 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")) 2025-03-21 13:23.10 ---> using "168c19cef79c05107b538c528fc3d832750d5bdbc3a7b41711e551bb0d81ac6c" 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 ><><><><><><><><><><><><><><><><><><><><><><><><><><> [ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com" [default] synchronised from file:///home/opam/opam-repository 2025-03-21 13:23.10 ---> using "487dda2baaa2465ab82cf99926f729a3b76add6939c52a1d289f6ad7f6b0925b" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 6.8.0-55-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 13:23.10 ---> using "c89ad6ce61f54a4ad08e979d853a815df404db7508b2b5f802fe6ab8f9e363a7" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 13:23.10 ---> using "f0c24e2883a704076675cde5e8701aeb7f9a6cf487764304401841caf4880948" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 862a7640b1..6cf83229dd master -> origin/master 4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive [default] synchronised from file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-03-21 13:23.10 ---> using "87b6cea17a231ba8c8820e52647b47a6e4f1b90e2bd30ad7e18aca1c1de6df42" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 13:23.10 ---> using "93903239a2543bd20dc18927cc0a4700513f22d2108f3ef0eedee7d2bc6bb6c8" from cache /src: (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) [neural_nets_lib.dev] synchronised (file:///src) neural_nets_lib is now pinned to file:///src (version dev) [arrayjit.dev] synchronised (file:///src) arrayjit is now pinned to file:///src (version dev) 2025-03-21 13:23.10 ---> using "2d50d476e5ead6d75d53db660b5acd95ab4f54e1737433e022f68e2c7df052f8" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 13:23.10 ---> using "f7f08e76359f535d1ca6a8f37927ce04b2434ecd1c5e1e6ef7fb900fe2813f98" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB] - 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/main ppc64el Packages [8629 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main ppc64el Packages [235 kB] - Fetched 9119 kB in 2s (5585 kB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [neural_nets_lib.dev] synchronised (file:///src) [arrayjit.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+deb12u9) ... 2025-03-21 13:23.10 ---> using "7f56bc83e52c7303e6b0b613be6c58b926d6986fb422146f4e92f22b56e295da" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved ppxlib.0.35.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved 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 ptime.1.2.0 -> installed dune.3.17.2 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> 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_intrinsics_kernel.v0.17.1 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed sexplib.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> 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.2.1.0 -> 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) 2025-03-21 13:23.10 ---> using "3a1379118d8180a48ba8c61bc89283b00a80430ac229636ccd0ccd872f09c785" from cache /src: (copy (src .) (dst /src)) 2025-03-21 13:23.13 ---> saved as "05718a8fce21a360d397d51dcfa669f8dddff6056939b7e8f963098c32e839cf" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (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/f0a6340193969c36881c2f5028a74863/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/93fc57578aba7e41152a8b65983fdf19/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/primitive_ops.ml", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/primitive_ops.ml _build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/primitive_ops.ml.corrected diff --git a/_build/default/test/primitive_ops.ml b/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/primitive_ops.ml.corrected index 18fb8fd..4dd32f4 100644 --- a/_build/default/test/primitive_ops.ml +++ b/_build/.sandbox/f0a6340193969c36881c2f5028a74863/default/test/primitive_ops.ml.corrected @@ -534,48 +534,48 @@ let%expect_test "sqrt(x)" = [%expect {| ┌─────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐ - │ inf │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │f │ │ - │( │ │ - │x │ │ - │) │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ 0.00│*************************-*************** ********-******************************* **** *******-****│ + │ 2.23│ #│ + │ │ ##### │ + │ │ ##### │ + │ │ #### │ + │ │ ## ## │ + │ │ ##### │ + │ │ #### │ + │ │ ##### │ + │ │ #### │ + │ │ ## # │ + │ │ # ## │ + │ │ ### │ + │ │* #### │ + │ │ #### │ + │ │ # # │ + │ │ ### │ + │ │ ### │ + │ │ * ### │ + │f │ ## │ + │( │ ### │ + │x │ * ### │ + │) │ ## │ + │ │ * ## │ + │ │ # ## │ + │ │ * ## │ + │ │ * ## │ + │ │ ** # │ + │ │ *# │ + │ │ # ** │ + │ │ ## *** │ + │ │ # * * │ + │ │ # ***** │ + │ │ # ******** │ + │ │ # * ********** │ + │ │# * ************* **** │ + │ │ * ********************* ************ │ + │ │ *****│ + │ │ │ + │ │ │ + │ 0.00│- - - - - - - - - - - - - - - - - - - - │ ├─────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤ - │ │0.00 5.00│ + │ │1.00e-1 5.00│ │ │ x │ └─────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘ |}] @@ -585,7 +585,35 @@ let%expect_test "recip(x)" = let plot_box = plot_unop ~f ~x_min:0.1 ~x_max:5.0 () in PrintBox_text.output Stdio.stdout plot_box; (* FIXME: There's is a bug here in the shape inference. *) - [%expect {||}] + [%expect.unreachable] +[@@expect.uncaught_exn {| + (* CR expect_test_collector: This test expectation appears to contain a backtrace. + This is strongly discouraged as backtraces are fragile. + Please change this test to not include a backtrace. *) + (lib/shape.ml.Shape_error "Too many axes in a subtensor" + ((Row_mismatch + ((dims ()) (bcast Broadcastable) (id ((sh_id 8) (kind Input)))) + ((dims ((Var ((id 166) (label ()))))) + (bcast (Row_var (v (Row_var 167)) (beg_dims ()))) + (id ((sh_id 7) (kind Output))))))) + Raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", line 1087, characters 6-91 + Re-raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", lines 919-1151, characters 31-44 + Called from Ocannl__Row.solve_inequalities.solve.f in file "lib/row.ml", line 1293, characters 32-68 + Called from Base__List0.fold in file "src/list0.ml", line 43, characters 27-37 + Called from Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", line 1323, characters 22-56 + Re-raised at Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", lines 1276-1329, characters 16-25 + Called from Ocannl__Row.solve_inequalities in file "lib/row.ml", line 1332, characters 50-65 + Re-raised at Ocannl__Row.solve_inequalities in file "lib/row.ml", lines 1274-1355, characters 35-44 + Called from Ocannl__Shape.propagate_shapes in file "lib/shape.ml", line 609, characters 20-73 + Re-raised at Ocannl__Shape.propagate_shapes in file "lib/shape.ml", lines 602-612, characters 33-14 + Called from Base__List0.iter in file "src/list0.ml", line 66, characters 4-7 + Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 197, characters 2-57 + Called from Ocannl__Operation.recip.(fun) in file "lib/operation.ml", line 250, characters 53-69 + Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 265, characters 38-65 + Called from Tutorials__Primitive_ops.plot_unop in file "test/primitive_ops.ml", line 32, characters 14-17 + Called from Tutorials__Primitive_ops.(fun) in file "test/primitive_ops.ml", line 585, characters 17-54 + Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28 + |}] let%expect_test "recip_sqrt(x)" = let%op f x = recip_sqrt x in (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199500, batch loss=8.539633, epoch loss=32.149086 Batch=179, step=180, lr=0.199500, batch loss=2.621123, epoch loss=34.770209 Batch=239, step=240, lr=0.199250, batch loss=0.845226, epoch loss=35.615434 Batch=299, step=300, lr=0.199000, batch loss=1.458357, epoch loss=37.073791 Batch=359, step=360, lr=0.198750, batch loss=1.325710, epoch loss=38.399501 Batch=419, step=420, lr=0.198250, batch loss=0.622274, epoch loss=39.021776 Batch=479, step=480, lr=0.198250, batch loss=0.815646, epoch loss=39.837422 Batch=539, step=540, lr=0.198000, batch loss=0.701347, epoch loss=40.538769 Batch=599, step=600, lr=0.197750, batch loss=1.070155, epoch loss=41.608924 Batch=659, step=660, lr=0.197250, batch loss=0.483312, epoch loss=42.092236 Batch=719, step=720, lr=0.197000, batch loss=0.411610, epoch loss=42.503846 Batch=779, step=780, lr=0.196750, batch loss=0.469683, epoch loss=42.973529 Batch=839, step=840, lr=0.196500, batch loss=0.443994, epoch loss=43.417523 Batch=899, step=900, lr=0.196500, batch loss=0.384421, epoch loss=43.801945 Batch=959, step=960, lr=0.196250, batch loss=0.238291, epoch loss=44.040236 Batch=1019, step=1020, lr=0.196000, batch loss=0.440500, epoch loss=44.480736 Batch=1079, step=1080, lr=0.195750, batch loss=0.225789, epoch loss=44.706525 Batch=1139, step=1140, lr=0.195250, batch loss=0.315602, epoch loss=45.022127 Batch=1199, step=1200, lr=0.195250, batch loss=0.263568, epoch loss=45.285695 Epoch=0, step=1200, lr=0.195250, epoch loss=45.285695 Batch=59, step=1260, lr=0.195000, batch loss=0.262414, epoch loss=0.262414 Batch=119, step=1320, lr=0.194500, batch loss=0.205630, epoch loss=0.468045 Batch=179, step=1380, lr=0.194500, batch loss=0.242570, epoch loss=0.710615 Batch=239, step=1440, lr=0.194000, batch loss=0.347444, epoch loss=1.058058 Batch=299, step=1500, lr=0.194000, batch loss=0.253189, epoch loss=1.311247 Batch=359, step=1560, lr=0.193500, batch loss=0.318890, epoch loss=1.630137 Batch=419, step=1620, lr=0.193500, batch loss=0.311483, epoch loss=1.941620 Batch=479, step=1680, lr=0.193250, batch loss=0.277836, epoch loss=2.219456 Batch=539, step=1740, lr=0.193000, batch loss=0.214513, epoch loss=2.433969 Batch=599, step=1800, lr=0.192750, batch loss=0.259135, epoch loss=2.693104 Batch=659, step=1860, lr=0.192500, batch loss=0.377856, epoch loss=3.070959 Batch=719, step=1920, lr=0.192250, batch loss=0.357252, epoch loss=3.428211 Batch=779, step=1980, lr=0.192000, batch loss=0.382598, epoch loss=3.810809 Batch=839, step=2040, lr=0.191500, batch loss=0.341107, epoch loss=4.151915 Batch=899, step=2100, lr=0.191250, batch loss=0.294792, epoch loss=4.446708 Batch=959, step=2160, lr=0.191000, batch loss=0.220226, epoch loss=4.666934 Batch=1019, step=2220, lr=0.190750, batch loss=0.324716, epoch loss=4.991650 Batch=1079, step=2280, lr=0.190750, batch loss=0.203001, epoch loss=5.194652 Batch=1139, step=2340, lr=0.190500, batch loss=0.267064, epoch loss=5.461716 Batch=1199, step=2400, lr=0.190250, batch loss=0.214975, epoch loss=5.676690 Epoch=1, step=2400, lr=0.190250, epoch loss=5.676690 Batch=59, step=2460, lr=0.190000, batch loss=0.227233, epoch loss=0.227233 Batch=119, step=2520, lr=0.189500, batch loss=0.186379, epoch loss=0.413613 Batch=179, step=2580, lr=0.189500, batch loss=0.218040, epoch loss=0.631653 Batch=239, step=2640, lr=0.189000, batch loss=0.326653, epoch loss=0.958306 Batch=299, step=2700, lr=0.189000, batch loss=0.220747, epoch loss=1.179053 Batch=359, step=2760, lr=0.188750, batch loss=0.298491, epoch loss=1.477544 Batch=419, step=2820, lr=0.188250, batch loss=0.288405, epoch loss=1.765949 Batch=479, step=2880, lr=0.188250, batch loss=0.261612, epoch loss=2.027561 Batch=539, step=2940, lr=0.187750, batch loss=0.203184, epoch loss=2.230744 Batch=599, step=3000, lr=0.187750, batch loss=0.252139, epoch loss=2.482884 Batch=659, step=3060, lr=0.187500, batch loss=0.344749, epoch loss=2.827633 Batch=719, step=3120, lr=0.187250, batch loss=0.347188, epoch loss=3.174821 Batch=779, step=3180, lr=0.186750, batch loss=0.364034, epoch loss=3.538855 Batch=839, step=3240, lr=0.186500, batch loss=0.324093, epoch loss=3.862949 Batch=899, step=3300, lr=0.186250, batch loss=0.295732, epoch loss=4.158681 Batch=959, step=3360, lr=0.186250, batch loss=0.244269, epoch loss=4.402950 Batch=1019, step=3420, lr=0.185750, batch loss=0.368231, epoch loss=4.771180 Batch=1079, step=3480, lr=0.185750, batch loss=0.225187, epoch loss=4.996367 Batch=1139, step=3540, lr=0.185250, batch loss=0.263962, epoch loss=5.260329 Batch=1199, step=3600, lr=0.185000, batch loss=0.200201, epoch loss=5.460530 Epoch=2, step=3600, lr=0.185000, epoch loss=5.460530 Batch=59, step=3660, lr=0.184750, batch loss=0.226621, epoch loss=0.226621 Batch=119, step=3720, lr=0.184500, batch loss=0.196551, epoch loss=0.423173 Batch=179, step=3780, lr=0.184250, batch loss=0.213423, epoch loss=0.636596 Batch=239, step=3840, lr=0.184000, batch loss=0.318511, epoch loss=0.955107 Batch=299, step=3900, lr=0.184000, batch loss=0.206767, epoch loss=1.161874 Batch=359, step=3960, lr=0.183500, batch loss=0.286773, epoch loss=1.448647 Batch=419, step=4020, lr=0.183250, batch loss=0.275023, epoch loss=1.723670 Batch=479, step=4080, lr=0.183000, batch loss=0.256947, epoch loss=1.980617 Batch=539, step=4140, lr=0.182750, batch loss=0.197812, epoch loss=2.178429 Batch=599, step=4200, lr=0.182750, batch loss=0.237892, epoch loss=2.416322 Batch=659, step=4260, lr=0.182500, batch loss=0.329705, epoch loss=2.746027 Batch=719, step=4320, lr=0.182000, batch loss=0.328034, epoch loss=3.074061 Batch=779, step=4380, lr=0.181750, batch loss=0.353204, epoch loss=3.427265 Batch=839, step=4440, lr=0.181750, batch loss=0.317731, epoch loss=3.744996 Batch=899, step=4500, lr=0.181500, batch loss=0.285723, epoch loss=4.030719 Batch=959, step=4560, lr=0.181250, batch loss=0.239248, epoch loss=4.269967 Batch=1019, step=4620, lr=0.181000, batch loss=0.332447, epoch loss=4.602414 Batch=1079, step=4680, lr=0.180500, batch loss=0.194172, epoch loss=4.796586 Batch=1139, step=4740, lr=0.180500, batch loss=0.228714, epoch loss=5.025300 Batch=1199, step=4800, lr=0.180250, batch loss=0.194843, epoch loss=5.220143 Epoch=3, step=4800, lr=0.180250, epoch loss=5.220143 Batch=59, step=4860, lr=0.180000, batch loss=0.239339, epoch loss=0.239339 Batch=119, step=4920, lr=0.179500, batch loss=0.198044, epoch loss=0.437383 Batch=179, step=4980, lr=0.179250, batch loss=0.206772, epoch loss=0.644155 Batch=239, step=5040, lr=0.179250, batch loss=0.306937, epoch loss=0.951092 Batch=299, step=5100, lr=0.179000, batch loss=0.203507, epoch loss=1.154599 Batch=359, step=5160, lr=0.178500, batch loss=0.273030, epoch loss=1.427629 Batch=419, step=5220, lr=0.178250, batch loss=0.264872, epoch loss=1.692501 Batch=479, step=5280, lr=0.178250, batch loss=0.239595, epoch loss=1.932096 Batch=539, step=5340, lr=0.178000, batch loss=0.191656, epoch loss=2.123752 Batch=599, step=5400, lr=0.177500, batch loss=0.228917, epoch loss=2.352669 Batch=659, step=5460, lr=0.177250, batch loss=0.326289, epoch loss=2.678959 Batch=719, step=5520, lr=0.177250, batch loss=0.332536, epoch loss=3.011494 Batch=779, step=5580, lr=0.176750, batch loss=0.343581, epoch loss=3.355075 Batch=839, step=5640, lr=0.176500, batch loss=0.309124, epoch loss=3.664200 Batch=899, step=5700, lr=0.176500, batch loss=0.273884, epoch loss=3.938084 Batch=959, step=5760, lr=0.176250, batch loss=0.212868, epoch loss=4.150952 Batch=1019, step=5820, lr=0.176000, batch loss=0.338366, epoch loss=4.489318 Batch=1079, step=5880, lr=0.175750, batch loss=0.205156, epoch loss=4.694474 Batch=1139, step=5940, lr=0.175250, batch loss=0.240336, epoch loss=4.934810 Batch=1199, step=6000, lr=0.175250, batch loss=0.188197, epoch loss=5.123008 Epoch=4, step=6000, lr=0.175250, epoch loss=5.123008 Batch=59, step=6060, lr=0.175000, batch loss=0.238094, epoch loss=0.238094 Batch=119, step=6120, lr=0.174500, batch loss=0.188362, epoch loss=0.426456 Batch=179, step=6180, lr=0.174250, batch loss=0.202545, epoch loss=0.629001 Batch=239, step=6240, lr=0.174000, batch loss=0.302027, epoch loss=0.931028 Batch=299, step=6300, lr=0.174000, batch loss=0.203879, epoch loss=1.134907 Batch=359, step=6360, lr=0.173750, batch loss=0.263861, epoch loss=1.398768 Batch=419, step=6420, lr=0.173500, batch loss=0.258727, epoch loss=1.657496 Batch=479, step=6480, lr=0.173250, batch loss=0.234365, epoch loss=1.891861 Batch=539, step=6540, lr=0.172750, batch loss=0.186290, epoch loss=2.078151 Batch=599, step=6600, lr=0.172750, batch loss=0.229491, epoch loss=2.307641 Batch=659, step=6660, lr=0.172500, batch loss=0.315197, epoch loss=2.622838 Batch=719, step=6720, lr=0.172000, batch loss=0.315119, epoch loss=2.937957 Batch=779, step=6780, lr=0.172000, batch loss=0.331243, epoch loss=3.269200 Batch=839, step=6840, lr=0.171500, batch loss=0.304714, epoch loss=3.573914 Batch=899, step=6900, lr=0.171250, batch loss=0.266159, epoch loss=3.840072 Batch=959, step=6960, lr=0.171000, batch loss=0.213507, epoch loss=4.053579 Batch=1019, step=7020, lr=0.170750, batch loss=0.329697, epoch loss=4.383276 Batch=1079, step=7080, lr=0.170750, batch loss=0.184780, epoch loss=4.568057 Batch=1139, step=7140, lr=0.170500, batch loss=0.215231, epoch loss=4.783288 Batch=1199, step=7200, lr=0.170000, batch loss=0.185837, epoch loss=4.969124 Epoch=5, step=7200, lr=0.170000, epoch loss=4.969124 Batch=59, step=7260, lr=0.169750, batch loss=0.235317, epoch loss=0.235317 Batch=119, step=7320, lr=0.169500, batch loss=0.182285, epoch loss=0.417602 Batch=179, step=7380, lr=0.169500, batch loss=0.195873, epoch loss=0.613475 Batch=239, step=7440, lr=0.169250, batch loss=0.294903, epoch loss=0.908378 Batch=299, step=7500, lr=0.169000, batch loss=0.202715, epoch loss=1.111093 Batch=359, step=7560, lr=0.168500, batch loss=0.257822, epoch loss=1.368916 Batch=419, step=7620, lr=0.168500, batch loss=0.253800, epoch loss=1.622716 Batch=479, step=7680, lr=0.168000, batch loss=0.234144, epoch loss=1.856860 Batch=539, step=7740, lr=0.167750, batch loss=0.191384, epoch loss=2.048244 Batch=599, step=7800, lr=0.167500, batch loss=0.227483, epoch loss=2.275728 Batch=659, step=7860, lr=0.167500, batch loss=0.306234, epoch loss=2.581961 Batch=719, step=7920, lr=0.167000, batch loss=0.311201, epoch loss=2.893162 Batch=779, step=7980, lr=0.166750, batch loss=0.330182, epoch loss=3.223344 Batch=839, step=8040, lr=0.166500, batch loss=0.292070, epoch loss=3.515414 Batch=899, step=8100, lr=0.166500, batch loss=0.263673, epoch loss=3.779087 Batch=959, step=8160, lr=0.166250, batch loss=0.209036, epoch loss=3.988123 Batch=1019, step=8220, lr=0.166000, batch loss=0.320739, epoch loss=4.308862 Batch=1079, step=8280, lr=0.165750, batch loss=0.169428, epoch loss=4.478290 Batch=1139, step=8340, lr=0.165250, batch loss=0.205651, epoch loss=4.683941 Batch=1199, step=8400, lr=0.165000, batch loss=0.185365, epoch loss=4.869306 Epoch=6, step=8400, lr=0.165000, epoch loss=4.869306 Batch=59, step=8460, lr=0.165000, batch loss=0.216770, epoch loss=0.216770 Batch=119, step=8520, lr=0.164500, batch loss=0.184207, epoch loss=0.400978 Batch=179, step=8580, lr=0.164250, batch loss=0.188294, epoch loss=0.589271 Batch=239, step=8640, lr=0.164000, batch loss=0.279692, epoch loss=0.868964 Batch=299, step=8700, lr=0.164000, batch loss=0.192604, epoch loss=1.061568 Batch=359, step=8760, lr=0.163500, batch loss=0.249766, epoch loss=1.311334 Batch=419, step=8820, lr=0.163500, batch loss=0.246801, epoch loss=1.558134 Batch=479, step=8880, lr=0.163000, batch loss=0.227166, epoch loss=1.785301 Batch=539, step=8940, lr=0.163000, batch loss=0.181862, epoch loss=1.967162 Batch=599, step=9000, lr=0.162750, batch loss=0.215581, epoch loss=2.182743 Batch=659, step=9060, lr=0.162500, batch loss=0.295342, epoch loss=2.478086 Batch=719, step=9120, lr=0.162250, batch loss=0.295695, epoch loss=2.773781 Batch=779, step=9180, lr=0.161750, batch loss=0.317529, epoch loss=3.091310 Batch=839, step=9240, lr=0.161750, batch loss=0.285562, epoch loss=3.376871 Batch=899, step=9300, lr=0.161250, batch loss=0.249387, epoch loss=3.626259 Batch=959, step=9360, lr=0.161250, batch loss=0.195006, epoch loss=3.821265 Batch=1019, step=9420, lr=0.161000, batch loss=0.311216, epoch loss=4.132481 Batch=1079, step=9480, lr=0.160500, batch loss=0.192394, epoch loss=4.324874 Batch=1139, step=9540, lr=0.160250, batch loss=0.215257, epoch loss=4.540131 Batch=1199, step=9600, lr=0.160000, batch loss=0.167844, epoch loss=4.707975 Epoch=7, step=9600, lr=0.160000, epoch loss=4.707975 Batch=59, step=9660, lr=0.159750, batch loss=0.202155, epoch loss=0.202155 Batch=119, step=9720, lr=0.159750, batch loss=0.164479, epoch loss=0.366634 Batch=179, step=9780, lr=0.159250, batch loss=0.179743, epoch loss=0.546377 Batch=239, step=9840, lr=0.159000, batch loss=0.264276, epoch loss=0.810654 Batch=299, step=9900, lr=0.159000, batch loss=0.183373, epoch loss=0.994027 Batch=359, step=9960, lr=0.158500, batch loss=0.244315, epoch loss=1.238342 Batch=419, step=10020, lr=0.158250, batch loss=0.233761, epoch loss=1.472103 Batch=479, step=10080, lr=0.158000, batch loss=0.214743, epoch loss=1.686846 Batch=539, step=10140, lr=0.157750, batch loss=0.171428, epoch loss=1.858274 Batch=599, step=10200, lr=0.157750, batch loss=0.202236, epoch loss=2.060510 Batch=659, step=10260, lr=0.157250, batch loss=0.283211, epoch loss=2.343721 Batch=719, step=10320, lr=0.157000, batch loss=0.279667, epoch loss=2.623388 Batch=779, step=10380, lr=0.157000, batch loss=0.300793, epoch loss=2.924181 Batch=839, step=10440, lr=0.156500, batch loss=0.272298, epoch loss=3.196479 Batch=899, step=10500, lr=0.156250, batch loss=0.239659, epoch loss=3.436138 Batch=959, step=10560, lr=0.156000, batch loss=0.199153, epoch loss=3.635291 Batch=1019, step=10620, lr=0.155750, batch loss=0.281944, epoch loss=3.917235 Batch=1079, step=10680, lr=0.155500, batch loss=0.166463, epoch loss=4.083698 Batch=1139, step=10740, lr=0.155250, batch loss=0.200635, epoch loss=4.284333 Batch=1199, step=10800, lr=0.155250, batch loss=0.154725, epoch loss=4.439058 Epoch=8, step=10800, lr=0.155250, epoch loss=4.439058 Batch=59, step=10860, lr=0.154750, batch loss=0.180799, epoch loss=0.180799 Batch=119, step=10920, lr=0.154500, batch loss=0.150257, epoch loss=0.331056 Batch=179, step=10980, lr=0.154250, batch loss=0.167410, epoch loss=0.498467 Batch=239, step=11040, lr=0.154250, batch loss=0.242039, epoch loss=0.740506 Batch=299, step=11100, lr=0.154000, batch loss=0.175026, epoch loss=0.915532 Batch=359, step=11160, lr=0.153750, batch loss=0.223484, epoch loss=1.139015 Batch=419, step=11220, lr=0.153500, batch loss=0.230515, epoch loss=1.369531 Batch=479, step=11280, lr=0.153000, batch loss=0.204001, epoch loss=1.573531 Batch=539, step=11340, lr=0.152750, batch loss=0.161005, epoch loss=1.734537 Batch=599, step=11400, lr=0.152500, batch loss=0.185331, epoch loss=1.919868 Batch=659, step=11460, lr=0.152250, batch loss=0.264583, epoch loss=2.184451 Batch=719, step=11520, lr=0.152000, batch loss=0.258360, epoch loss=2.442810 Batch=779, step=11580, lr=0.151750, batch loss=0.273603, epoch loss=2.716413 Batch=839, step=11640, lr=0.151750, batch loss=0.256839, epoch loss=2.973252 Batch=899, step=11700, lr=0.151250, batch loss=0.218738, epoch loss=3.191990 Batch=959, step=11760, lr=0.151250, batch loss=0.185094, epoch loss=3.377085 Batch=1019, step=11820, lr=0.151000, batch loss=0.278785, epoch loss=3.655869 Batch=1079, step=11880, lr=0.150500, batch loss=0.161118, epoch loss=3.816987 Batch=1139, step=11940, lr=0.150500, batch loss=0.189244, epoch loss=4.006231 Batch=1199, step=12000, lr=0.150000, batch loss=0.140414, epoch loss=4.146645 Epoch=9, step=12000, lr=0.150000, epoch loss=4.146645 Batch=59, step=12060, lr=0.150000, batch loss=0.158956, epoch loss=0.158956 Batch=119, step=12120, lr=0.149750, batch loss=0.128842, epoch loss=0.287797 Batch=179, step=12180, lr=0.149250, batch loss=0.153048, epoch loss=0.440845 Batch=239, step=12240, lr=0.149250, batch loss=0.224541, epoch loss=0.665387 Batch=299, step=12300, lr=0.148750, batch loss=0.147964, epoch loss=0.813350 Batch=359, step=12360, lr=0.148750, batch loss=0.203664, epoch loss=1.017014 Batch=419, step=12420, lr=0.148250, batch loss=0.215101, epoch loss=1.232114 Batch=479, step=12480, lr=0.148250, batch loss=0.174412, epoch loss=1.406526 Batch=539, step=12540, lr=0.148000, batch loss=0.147536, epoch loss=1.554062 Batch=599, step=12600, lr=0.147750, batch loss=0.157220, epoch loss=1.711282 Batch=659, step=12660, lr=0.147250, batch loss=0.235764, epoch loss=1.947046 Batch=719, step=12720, lr=0.147250, batch loss=0.227841, epoch loss=2.174887 Batch=779, step=12780, lr=0.147000, batch loss=0.238392, epoch loss=2.413280 Batch=839, step=12840, lr=0.146750, batch loss=0.232857, epoch loss=2.646137 Batch=899, step=12900, lr=0.146250, batch loss=0.210530, epoch loss=2.856666 Batch=959, step=12960, lr=0.146250, batch loss=0.163648, epoch loss=3.020315 Batch=1019, step=13020, lr=0.146000, batch loss=0.261279, epoch loss=3.281594 Batch=1079, step=13080, lr=0.145500, batch loss=0.116618, epoch loss=3.398211 Batch=1139, step=13140, lr=0.145250, batch loss=0.154463, epoch loss=3.552674 Batch=1199, step=13200, lr=0.145250, batch loss=0.119083, epoch loss=3.671757 Epoch=10, step=13200, lr=0.145250, epoch loss=3.671757 Batch=59, step=13260, lr=0.144750, batch loss=0.138606, epoch loss=0.138606 Batch=119, step=13320, lr=0.144500, batch loss=0.117971, epoch loss=0.256577 Batch=179, step=13380, lr=0.144500, batch loss=0.129995, epoch loss=0.386572 Batch=239, step=13440, lr=0.144250, batch loss=0.187588, epoch loss=0.574160 Batch=299, step=13500, lr=0.144000, batch loss=0.121173, epoch loss=0.695333 Batch=359, step=13560, lr=0.143750, batch loss=0.164655, epoch loss=0.859987 Batch=419, step=13620, lr=0.143250, batch loss=0.162514, epoch loss=1.022502 Batch=479, step=13680, lr=0.143000, batch loss=0.148625, epoch loss=1.171127 Batch=539, step=13740, lr=0.142750, batch loss=0.120205, epoch loss=1.291331 Batch=599, step=13800, lr=0.142500, batch loss=0.122734, epoch loss=1.414066 Batch=659, step=13860, lr=0.142250, batch loss=0.179558, epoch loss=1.593624 Batch=719, step=13920, lr=0.142250, batch loss=0.181136, epoch loss=1.774760 Batch=779, step=13980, lr=0.142000, batch loss=0.200149, epoch loss=1.974909 Batch=839, step=14040, lr=0.141750, batch loss=0.190359, epoch loss=2.165267 Batch=899, step=14100, lr=0.141250, batch loss=0.160381, epoch loss=2.325649 Batch=959, step=14160, lr=0.141000, batch loss=0.138398, epoch loss=2.464046 Batch=1019, step=14220, lr=0.141000, batch loss=0.280246, epoch loss=2.744293 Batch=1079, step=14280, lr=0.140500, batch loss=0.089275, epoch loss=2.833568 Batch=1139, step=14340, lr=0.140250, batch loss=0.132126, epoch loss=2.965694 Batch=1199, step=14400, lr=0.140000, batch loss=0.095805, epoch loss=3.061499 Epoch=11, step=14400, lr=0.140000, epoch loss=3.061499 Batch=59, step=14460, lr=0.139750, batch loss=0.122170, epoch loss=0.122170 Batch=119, step=14520, lr=0.139500, batch loss=0.106139, epoch loss=0.228310 Batch=179, step=14580, lr=0.139500, batch loss=0.105215, epoch loss=0.333525 Batch=239, step=14640, lr=0.139250, batch loss=0.146954, epoch loss=0.480479 Batch=299, step=14700, lr=0.139000, batch loss=0.079141, epoch loss=0.559620 Batch=359, step=14760, lr=0.138750, batch loss=0.123939, epoch loss=0.683559 Batch=419, step=14820, lr=0.138250, batch loss=0.130485, epoch loss=0.814044 Batch=479, step=14880, lr=0.138000, batch loss=0.105425, epoch loss=0.919469 Batch=539, step=14940, lr=0.137750, batch loss=0.099499, epoch loss=1.018968 Batch=599, step=15000, lr=0.137750, batch loss=0.087500, epoch loss=1.106468 Batch=659, step=15060, lr=0.137500, batch loss=0.135840, epoch loss=1.242308 Batch=719, step=15120, lr=0.137250, batch loss=0.168716, epoch loss=1.411025 Batch=779, step=15180, lr=0.137000, batch loss=0.253851, epoch loss=1.664875 Batch=839, step=15240, lr=0.136500, batch loss=0.143296, epoch loss=1.808171 Batch=899, step=15300, lr=0.136250, batch loss=0.145277, epoch loss=1.953448 Batch=959, step=15360, lr=0.136250, batch loss=0.083807, epoch loss=2.037255 Batch=1019, step=15420, lr=0.136000, batch loss=0.160960, epoch loss=2.198215 Batch=1079, step=15480, lr=0.135750, batch loss=0.047231, epoch loss=2.245446 Batch=1139, step=15540, lr=0.135500, batch loss=0.101749, epoch loss=2.347196 Batch=1199, step=15600, lr=0.135250, batch loss=0.061852, epoch loss=2.409047 Epoch=12, step=15600, lr=0.135250, epoch loss=2.409047 Batch=59, step=15660, lr=0.135000, batch loss=0.091084, epoch loss=0.091084 Batch=119, step=15720, lr=0.134500, batch loss=0.150310, epoch loss=0.241395 Batch=179, step=15780, lr=0.134500, batch loss=0.106161, epoch loss=0.347556 Batch=239, step=15840, lr=0.134250, batch loss=0.103964, epoch loss=0.451520 Batch=299, step=15900, lr=0.133750, batch loss=0.044520, epoch loss=0.496040 Batch=359, step=15960, lr=0.133500, batch loss=0.084791, epoch loss=0.580831 Batch=419, step=16020, lr=0.133500, batch loss=0.084065, epoch loss=0.664896 Batch=479, step=16080, lr=0.133250, batch loss=0.070880, epoch loss=0.735776 Batch=539, step=16140, lr=0.132750, batch loss=0.049425, epoch loss=0.785201 Batch=599, step=16200, lr=0.132500, batch loss=0.099839, epoch loss=0.885039 Batch=659, step=16260, lr=0.132250, batch loss=0.080385, epoch loss=0.965424 Batch=719, step=16320, lr=0.132250, batch loss=0.086831, epoch loss=1.052255 Batch=779, step=16380, lr=0.131750, batch loss=0.103123, epoch loss=1.155378 Batch=839, step=16440, lr=0.131500, batch loss=0.129948, epoch loss=1.285326 Batch=899, step=16500, lr=0.131250, batch loss=0.160055, epoch loss=1.445381 Batch=959, step=16560, lr=0.131000, batch loss=0.050846, epoch loss=1.496226 Batch=1019, step=16620, lr=0.131000, batch loss=0.130193, epoch loss=1.626420 Batch=1079, step=16680, lr=0.130500, batch loss=0.020520, epoch loss=1.646940 Batch=1139, step=16740, lr=0.130250, batch loss=0.045096, epoch loss=1.692036 Batch=1199, step=16800, lr=0.130000, batch loss=0.026954, epoch loss=1.718991 Epoch=13, step=16800, lr=0.130000, epoch loss=1.718991 Batch=59, step=16860, lr=0.129750, batch loss=0.051641, epoch loss=0.051641 Batch=119, step=16920, lr=0.129500, batch loss=0.095998, epoch loss=0.147639 Batch=179, step=16980, lr=0.129500, batch loss=0.067261, epoch loss=0.214900 Batch=239, step=17040, lr=0.129250, batch loss=0.063991, epoch loss=0.278891 Batch=299, step=17100, lr=0.129000, batch loss=0.020077, epoch loss=0.298968 Batch=359, step=17160, lr=0.128500, batch loss=0.048858, epoch loss=0.347826 Batch=419, step=17220, lr=0.128500, batch loss=0.049664, epoch loss=0.397490 Batch=479, step=17280, lr=0.128000, batch loss=0.032420, epoch loss=0.429910 Batch=539, step=17340, lr=0.127750, batch loss=0.052107, epoch loss=0.482018 Batch=599, step=17400, lr=0.127750, batch loss=0.035328, epoch loss=0.517346 Batch=659, step=17460, lr=0.127500, batch loss=0.048672, epoch loss=0.566018 Batch=719, step=17520, lr=0.127250, batch loss=0.053929, epoch loss=0.619947 Batch=779, step=17580, lr=0.127000, batch loss=0.107918, epoch loss=0.727865 Batch=839, step=17640, lr=0.126500, batch loss=0.103252, epoch loss=0.831116 Batch=899, step=17700, lr=0.126250, batch loss=0.149925, epoch loss=0.981041 Batch=959, step=17760, lr=0.126250, batch loss=0.020988, epoch loss=1.002029 Batch=1019, step=17820, lr=0.125750, batch loss=0.042622, epoch loss=1.044651 Batch=1079, step=17880, lr=0.125500, batch loss=0.014152, epoch loss=1.058803 Batch=1139, step=17940, lr=0.125250, batch loss=0.037337, epoch loss=1.096140 Batch=1199, step=18000, lr=0.125000, batch loss=0.017156, epoch loss=1.113295 Epoch=14, step=18000, lr=0.125000, epoch loss=1.113295 Batch=59, step=18060, lr=0.125000, batch loss=0.013223, epoch loss=0.013223 Batch=119, step=18120, lr=0.124750, batch loss=0.020229, epoch loss=0.033452 Batch=179, step=18180, lr=0.124500, batch loss=0.031785, epoch loss=0.065237 Batch=239, step=18240, lr=0.124250, batch loss=0.037823, epoch loss=0.103060 Batch=299, step=18300, lr=0.123750, batch loss=0.012925, epoch loss=0.115985 Batch=359, step=18360, lr=0.123500, batch loss=0.025315, epoch loss=0.141299 Batch=419, step=18420, lr=0.123500, batch loss=0.029955, epoch loss=0.171254 Batch=479, step=18480, lr=0.123250, batch loss=0.022823, epoch loss=0.194077 Batch=539, step=18540, lr=0.123000, batch loss=0.036760, epoch loss=0.230837 Batch=599, step=18600, lr=0.122500, batch loss=0.025747, epoch loss=0.256585 Batch=659, step=18660, lr=0.122250, batch loss=0.031595, epoch loss=0.288180 Batch=719, step=18720, lr=0.122250, batch loss=0.050439, epoch loss=0.338619 Batch=779, step=18780, lr=0.121750, batch loss=0.111693, epoch loss=0.450312 Batch=839, step=18840, lr=0.121500, batch loss=0.059580, epoch loss=0.509892 Batch=899, step=18900, lr=0.121250, batch loss=0.075145, epoch loss=0.585037 Batch=959, step=18960, lr=0.121000, batch loss=0.014165, epoch loss=0.599203 Batch=1019, step=19020, lr=0.121000, batch loss=0.022468, epoch loss=0.621670 Batch=1079, step=19080, lr=0.120500, batch loss=0.010272, epoch loss=0.631942 Batch=1139, step=19140, lr=0.120500, batch loss=0.023763, epoch loss=0.655705 Batch=1199, step=19200, lr=0.120250, batch loss=0.009857, epoch loss=0.665562 Epoch=15, step=19200, lr=0.120250, epoch loss=0.665562 Batch=59, step=19260, lr=0.119750, batch loss=0.004539, epoch loss=0.004539 Batch=119, step=19320, lr=0.119500, batch loss=0.012045, epoch loss=0.016584 Batch=179, step=19380, lr=0.119500, batch loss=0.021778, epoch loss=0.038362 Batch=239, step=19440, lr=0.119250, batch loss=0.022201, epoch loss=0.060563 Batch=299, step=19500, lr=0.118750, batch loss=0.006333, epoch loss=0.066896 Batch=359, step=19560, lr=0.118500, batch loss=0.017321, epoch loss=0.084217 Batch=419, step=19620, lr=0.118250, batch loss=0.019959, epoch loss=0.104176 Batch=479, step=19680, lr=0.118250, batch loss=0.009911, epoch loss=0.114087 Batch=539, step=19740, lr=0.117750, batch loss=0.020471, epoch loss=0.134558 Batch=599, step=19800, lr=0.117750, batch loss=0.020205, epoch loss=0.154763 Batch=659, step=19860, lr=0.117250, batch loss=0.019935, epoch loss=0.174698 Batch=719, step=19920, lr=0.117000, batch loss=0.019072, epoch loss=0.193770 Batch=779, step=19980, lr=0.116750, batch loss=0.037702, epoch loss=0.231472 Batch=839, step=20040, lr=0.116750, batch loss=0.051294, epoch loss=0.282766 Batch=899, step=20100, lr=0.116250, batch loss=0.068530, epoch loss=0.351296 Batch=959, step=20160, lr=0.116000, batch loss=0.011135, epoch loss=0.362431 Batch=1019, step=20220, lr=0.116000, batch loss=0.014896, epoch loss=0.377327 Batch=1079, step=20280, lr=0.115500, batch loss=0.002381, epoch loss=0.379708 Batch=1139, step=20340, lr=0.115250, batch loss=0.015491, epoch loss=0.395198 Batch=1199, step=20400, lr=0.115000, batch loss=0.005943, epoch loss=0.401142 Epoch=16, step=20400, lr=0.115000, epoch loss=0.401142 Batch=59, step=20460, lr=0.114750, batch loss=0.003495, epoch loss=0.003495 Batch=119, step=20520, lr=0.114750, batch loss=0.009499, epoch loss=0.012994 Batch=179, step=20580, lr=0.114500, batch loss=0.024258, epoch loss=0.037252 Batch=239, step=20640, lr=0.114000, batch loss=0.015219, epoch loss=0.052471 Batch=299, step=20700, lr=0.114000, batch loss=0.005130, epoch loss=0.057601 Batch=359, step=20760, lr=0.113500, batch loss=0.013844, epoch loss=0.071444 Batch=419, step=20820, lr=0.113250, batch loss=0.016296, epoch loss=0.087741 Batch=479, step=20880, lr=0.113250, batch loss=0.003844, epoch loss=0.091584 Batch=539, step=20940, lr=0.112750, batch loss=0.017935, epoch loss=0.109519 Batch=599, step=21000, lr=0.112500, batch loss=0.021124, epoch loss=0.130643 Batch=659, step=21060, lr=0.112250, batch loss=0.018598, epoch loss=0.149241 Batch=719, step=21120, lr=0.112000, batch loss=0.051476, epoch loss=0.200717 Batch=779, step=21180, lr=0.111750, batch loss=0.067534, epoch loss=0.268251 Batch=839, step=21240, lr=0.111500, batch loss=0.025348, epoch loss=0.293598 Batch=899, step=21300, lr=0.111250, batch loss=0.027218, epoch loss=0.320817 Batch=959, step=21360, lr=0.111250, batch loss=0.010720, epoch loss=0.331537 Batch=1019, step=21420, lr=0.110750, batch loss=0.010943, epoch loss=0.342480 Batch=1079, step=21480, lr=0.110750, batch loss=0.001818, epoch loss=0.344298 Batch=1139, step=21540, lr=0.110250, batch loss=0.012545, epoch loss=0.356843 Batch=1199, step=21600, lr=0.110250, batch loss=0.004568, epoch loss=0.361411 Epoch=17, step=21600, lr=0.110250, epoch loss=0.361411 Batch=59, step=21660, lr=0.109750, batch loss=0.002126, epoch loss=0.002126 Batch=119, step=21720, lr=0.109750, batch loss=0.007902, epoch loss=0.010027 Batch=179, step=21780, lr=0.109500, batch loss=0.016191, epoch loss=0.026218 Batch=239, step=21840, lr=0.109250, batch loss=0.013193, epoch loss=0.039411 Batch=299, step=21900, lr=0.109000, batch loss=0.003574, epoch loss=0.042985 Batch=359, step=21960, lr=0.108500, batch loss=0.011808, epoch loss=0.054793 Batch=419, step=22020, lr=0.108500, batch loss=0.011745, epoch loss=0.066538 Batch=479, step=22080, lr=0.108250, batch loss=0.003020, epoch loss=0.069558 Batch=539, step=22140, lr=0.107750, batch loss=0.018736, epoch loss=0.088294 Batch=599, step=22200, lr=0.107750, batch loss=0.017021, epoch loss=0.105315 Batch=659, step=22260, lr=0.107500, batch loss=0.014172, epoch loss=0.119487 Batch=719, step=22320, lr=0.107000, batch loss=0.027627, epoch loss=0.147114 Batch=779, step=22380, lr=0.107000, batch loss=0.040068, epoch loss=0.187183 Batch=839, step=22440, lr=0.106750, batch loss=0.020994, epoch loss=0.208176 Batch=899, step=22500, lr=0.106250, batch loss=0.022050, epoch loss=0.230226 Batch=959, step=22560, lr=0.106250, batch loss=0.010989, epoch loss=0.241215 Batch=1019, step=22620, lr=0.105750, batch loss=0.009566, epoch loss=0.250782 Batch=1079, step=22680, lr=0.105750, batch loss=0.001136, epoch loss=0.251918 Batch=1139, step=22740, lr=0.105500, batch loss=0.011488, epoch loss=0.263406 Batch=1199, step=22800, lr=0.105000, batch loss=0.004251, epoch loss=0.267656 Epoch=18, step=22800, lr=0.105000, epoch loss=0.267656 Batch=59, step=22860, lr=0.105000, batch loss=0.001571, epoch loss=0.001571 Batch=119, step=22920, lr=0.104750, batch loss=0.006048, epoch loss=0.007619 Batch=179, step=22980, lr=0.104250, batch loss=0.011076, epoch loss=0.018695 Batch=239, step=23040, lr=0.104000, batch loss=0.011415, epoch loss=0.030109 Batch=299, step=23100, lr=0.103750, batch loss=0.008057, epoch loss=0.038167 Batch=359, step=23160, lr=0.103750, batch loss=0.011191, epoch loss=0.049357 Batch=419, step=23220, lr=0.103500, batch loss=0.010878, epoch loss=0.060235 Batch=479, step=23280, lr=0.103250, batch loss=0.002640, epoch loss=0.062875 Batch=539, step=23340, lr=0.102750, batch loss=0.017607, epoch loss=0.080482 Batch=599, step=23400, lr=0.102750, batch loss=0.013879, epoch loss=0.094361 Batch=659, step=23460, lr=0.102250, batch loss=0.010359, epoch loss=0.104720 Batch=719, step=23520, lr=0.102250, batch loss=0.014689, epoch loss=0.119409 Batch=779, step=23580, lr=0.102000, batch loss=0.022288, epoch loss=0.141697 Batch=839, step=23640, lr=0.101750, batch loss=0.027867, epoch loss=0.169564 Batch=899, step=23700, lr=0.101250, batch loss=0.021993, epoch loss=0.191557 Batch=959, step=23760, lr=0.101250, batch loss=0.010517, epoch loss=0.202073 Batch=1019, step=23820, lr=0.101000, batch loss=0.008171, epoch loss=0.210244 Batch=1079, step=23880, lr=0.100750, batch loss=0.000436, epoch loss=0.210681 Batch=1139, step=23940, lr=0.100250, batch loss=0.010072, epoch loss=0.220753 Batch=1199, step=24000, lr=0.100250, batch loss=0.004579, epoch loss=0.225332 Epoch=19, step=24000, lr=0.100250, epoch loss=0.225332 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########******************************************│ │***********###########*************************############**************************************...│ │********######*####*********************************###*###*#*********************************......│ │*******######**##**********************************#*######*#*******************************........│ │*******##*##**##***********..........***************########*##***************************..........│ │*****#######************.......%...%%...***************#########*************************.........%.│ │******######***********.........%........***************##*#####************************......%.%.%.│ │***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│ │****#######***********.........%%%%.........************#########********************........%%.%%.%│ │**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│ │*##*####*************..........%%%%%%%.........***********########*****************..........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│ │#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│ │#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│ │#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│ │*************...........................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-03-21 13:23.52: Job failed: Failed: Build failed