2025-03-21 13:23.09: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (d63fdf0da2bdea174a1f4139e51107496c5013e8) (linux-x86_64:ubuntu-24.10-5.3_opam-2.3) Base: ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard d63fdf0d cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100 # ubuntu-24.10-5.3_opam-2.3 USER 1000:1000 ENV CLICOLOR_FORCE="1" ENV OPAMCOLOR="always" WORKDIR /src RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam RUN opam init --reinit -ni RUN uname -rs && opam exec -- ocaml -version && opam --version WORKDIR /src RUN sudo chown opam /src RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-03-21 13:23.09: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100-ubuntu-24.10-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 13:23.09: Using OBuilder spec: ((from ocaml/opam:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) (comment ubuntu-24.10-5.3_opam-2.3) (user (uid 1000) (gid 1000)) (env CLICOLOR_FORCE 1) (env OPAMCOLOR always) (workdir /src) (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) (run (shell "opam init --reinit -ni")) (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) (workdir /src) (run (shell "sudo chown opam /src")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-03-21 13:23.09: Waiting for resource in pool OCluster 2025-03-21 13:23.09: Waiting for worker… 2025-03-21 13:26.05: Got resource from pool OCluster Building on phoebe.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:ubuntu-24.10-ocaml-5.3@sha256:b697e49dfe3d132747f5c2b5da33784df26b74511213540e61e19df05ca8b100) 2025-03-21 13:26.06 ---> using "4596744fc3a31520e92f77a93ddee1465e358aef6e37bdf13eead77f318ac19c" from cache /: (comment ubuntu-24.10-5.3_opam-2.3) /: (user (uid 1000) (gid 1000)) /: (env CLICOLOR_FORCE 1) /: (env OPAMCOLOR always) /: (workdir /src) /src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam")) 2025-03-21 13:26.06 ---> using "92dbdccd2ae7da2a97a55cfcdaa39d620d5e2e1b8b97f3dba7905ee379079ded" 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. [NOTE] The 'jobs' option was reset, its value was 31 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using: opam option jobs=31 --global <><> 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 13:26.06 ---> using "34037fa2027c885ef052f6b26bda0c39d7430cd2fd9bfeab1b457c754e5b1f3d" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.3.0 2.3.0 2025-03-21 13:26.06 ---> using "ad2ab2a4f4e9ea6d10f2f7d75a528b347a9df63d0147bccbe314000671024be6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 13:26.06 ---> using "e61d4d6fb57c73a00b7acab9d8781ac5302befef711b2735a195337b8e68d737" 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 13:26.06 ---> using "b874972d3e4076a232741d0cfa563d8019de8c9040d9b0425ca0556b4c7df6ae" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 13:26.06 ---> using "cfe2efc7ff513e6f1ee8a4fc74f61f994c21ca17326602c6d3946665d18c5446" 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 13:26.06 ---> using "06b7a5177e39ab000f43512190bc7e636a849fd46b5d0eb5812a06a0fac2b139" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 13:26.06 ---> using "bbff1aebbdda010a01bc321072f49b145b3323668388564f06414573ac9a821b" from cache /src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Hit:1 http://archive.ubuntu.com/ubuntu oracular InRelease - Get:2 http://archive.ubuntu.com/ubuntu oracular-updates InRelease [126 kB] - Get:3 http://archive.ubuntu.com/ubuntu oracular-backports InRelease [126 kB] - Get:4 http://security.ubuntu.com/ubuntu oracular-security InRelease [126 kB] - Get:5 http://archive.ubuntu.com/ubuntu oracular-updates/universe amd64 Packages [259 kB] - Get:6 http://archive.ubuntu.com/ubuntu oracular-updates/main amd64 Packages [421 kB] - Get:7 http://security.ubuntu.com/ubuntu oracular-security/main amd64 Packages [300 kB] - Get:8 http://security.ubuntu.com/ubuntu oracular-security/universe amd64 Packages [191 kB] - Fetched 1549 kB in 1s (1862 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 libpkgconf3:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 16145 files and directories currently installed.) - Preparing to unpack .../libpkgconf3_1.8.1-3ubuntu1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-3ubuntu1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-3ubuntu1) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../libffi-dev_3.4.6-1build1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libpkgconf3:amd64 (1.8.1-3ubuntu1) ... - Setting up pkgconf-bin (1.8.1-3ubuntu1) ... - Setting up pkgconf:amd64 (1.8.1-3ubuntu1) ... - Setting up pkg-config:amd64 (1.8.1-3ubuntu1) ... - Processing triggers for libc-bin (2.40-1ubuntu3.1) ... 2025-03-21 13:26.06 ---> using "32916ac598b2d645f14525063194e1c74830ccd124b3601cc3d99f3720053436" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 65 packages - install angstrom 0.16.1 - install backoff 0.1.1 - install base v0.17.1 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.17.2 - install dune-configurator 3.17.2 - install fieldslib v0.17.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.1.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved base.v0.17.1 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.1.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlbuild.0.16.1 -> installed ocamlfind.1.9.8 -> 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 multicore-magic.2.3.1 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed ppx_derivers.1.2.1 -> installed printbox.0.12 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed dune-configurator.3.17.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed angstrom.0.16.1 -> installed sexplib.v0.17.0 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed base.v0.17.1 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppx_optcomp.v0.17.0 -> installed ppxlib_jane.v0.17.2 -> 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_deriving.6.0.3 -> installed ppx_globalize.v0.17.0 -> 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 13:26.06 ---> using "1e29b3f80230c2650edf6167986e21b36b2addd4e7b1e671f82c79f3cb59146c" from cache /src: (copy (src .) (dst /src)) 2025-03-21 13:26.07 ---> saved as "d1d4bab3591f7700d52c7fc4685ecf0ee9f8a8367f0fd3611231c6b8510b97ba" /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/2696933eef61e36625a562d298ed3c0b/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/2696933eef61e36625a562d298ed3c0b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2696933eef61e36625a562d298ed3c0b/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/00b45197020d90fe6dc517d2f9f72ce6/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2696933eef61e36625a562d298ed3c0b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2696933eef61e36625a562d298ed3c0b/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/2696933eef61e36625a562d298ed3c0b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2696933eef61e36625a562d298ed3c0b/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/2696933eef61e36625a562d298ed3c0b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2696933eef61e36625a562d298ed3c0b/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/2696933eef61e36625a562d298ed3c0b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2696933eef61e36625a562d298ed3c0b/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/2696933eef61e36625a562d298ed3c0b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2696933eef61e36625a562d298ed3c0b/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/2696933eef61e36625a562d298ed3c0b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2696933eef61e36625a562d298ed3c0b/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/2696933eef61e36625a562d298ed3c0b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2696933eef61e36625a562d298ed3c0b/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/2696933eef61e36625a562d298ed3c0b/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/2696933eef61e36625a562d298ed3c0b/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/2696933eef61e36625a562d298ed3c0b/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/2696933eef61e36625a562d298ed3c0b/default/test/primitive_ops.ml.corrected diff --git a/_build/default/test/primitive_ops.ml b/_build/.sandbox/2696933eef61e36625a562d298ed3c0b/default/test/primitive_ops.ml.corrected index 18fb8fd..4dd32f4 100644 --- a/_build/default/test/primitive_ops.ml +++ b/_build/.sandbox/2696933eef61e36625a562d298ed3c0b/default/test/primitive_ops.ml.corrected @@ -534,48 +534,48 @@ let%expect_test "sqrt(x)" = [%expect {| ┌─────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐ - │ inf │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │f │ │ - │( │ │ - │x │ │ - │) │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ │ │ - │ 0.00│*************************-*************** ********-******************************* **** *******-****│ + │ 2.23│ #│ + │ │ ##### │ + │ │ ##### │ + │ │ #### │ + │ │ ## ## │ + │ │ ##### │ + │ │ #### │ + │ │ ##### │ + │ │ #### │ + │ │ ## # │ + │ │ # ## │ + │ │ ### │ + │ │* #### │ + │ │ #### │ + │ │ # # │ + │ │ ### │ + │ │ ### │ + │ │ * ### │ + │f │ ## │ + │( │ ### │ + │x │ * ### │ + │) │ ## │ + │ │ * ## │ + │ │ # ## │ + │ │ * ## │ + │ │ * ## │ + │ │ ** # │ + │ │ *# │ + │ │ # ** │ + │ │ ## *** │ + │ │ # * * │ + │ │ # ***** │ + │ │ # ******** │ + │ │ # * ********** │ + │ │# * ************* **** │ + │ │ * ********************* ************ │ + │ │ *****│ + │ │ │ + │ │ │ + │ 0.00│- - - - - - - - - - - - - - - - - - - - │ ├─────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤ - │ │0.00 5.00│ + │ │1.00e-1 5.00│ │ │ x │ └─────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘ |}] @@ -585,7 +585,35 @@ let%expect_test "recip(x)" = let plot_box = plot_unop ~f ~x_min:0.1 ~x_max:5.0 () in PrintBox_text.output Stdio.stdout plot_box; (* FIXME: There's is a bug here in the shape inference. *) - [%expect {||}] + [%expect.unreachable] +[@@expect.uncaught_exn {| + (* CR expect_test_collector: This test expectation appears to contain a backtrace. + This is strongly discouraged as backtraces are fragile. + Please change this test to not include a backtrace. *) + (lib/shape.ml.Shape_error "Too many axes in a subtensor" + ((Row_mismatch + ((dims ()) (bcast Broadcastable) (id ((sh_id 8) (kind Input)))) + ((dims ((Var ((id 166) (label ()))))) + (bcast (Row_var (v (Row_var 167)) (beg_dims ()))) + (id ((sh_id 7) (kind Output))))))) + Raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", line 1087, characters 6-91 + Re-raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", lines 919-1151, characters 31-44 + Called from Ocannl__Row.solve_inequalities.solve.f in file "lib/row.ml", line 1293, characters 32-68 + Called from Base__List0.fold in file "src/list0.ml", line 43, characters 27-37 + Called from Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", line 1323, characters 22-56 + Re-raised at Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", lines 1276-1329, characters 16-25 + Called from Ocannl__Row.solve_inequalities in file "lib/row.ml", line 1332, characters 50-65 + Re-raised at Ocannl__Row.solve_inequalities in file "lib/row.ml", lines 1274-1355, characters 35-44 + Called from Ocannl__Shape.propagate_shapes in file "lib/shape.ml", line 609, characters 20-73 + Re-raised at Ocannl__Shape.propagate_shapes in file "lib/shape.ml", lines 602-612, characters 33-14 + Called from Base__List0.iter in file "src/list0.ml", line 66, characters 4-7 + Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 197, characters 2-57 + Called from Ocannl__Operation.recip.(fun) in file "lib/operation.ml", line 250, characters 53-69 + Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 265, characters 38-65 + Called from Tutorials__Primitive_ops.plot_unop in file "test/primitive_ops.ml", line 32, characters 14-17 + Called from Tutorials__Primitive_ops.(fun) in file "test/primitive_ops.ml", line 585, characters 17-54 + Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28 + |}] let%expect_test "recip_sqrt(x)" = let%op f x = recip_sqrt x in (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087 Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382 Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039 Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216 Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512 Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081 Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141 Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385 Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603 Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902 Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024 Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685 Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407 Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543 Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049 Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829 Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269 Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952 Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952 Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138 Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381 Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921 Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269 Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828 Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563 Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831 Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657 Batch=599, step=1800, lr=0.192500, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192250, batch loss=0.367135, epoch loss=3.039177 Batch=719, step=1920, lr=0.192250, batch loss=0.354926, epoch loss=3.394103 Batch=779, step=1980, lr=0.192000, batch loss=0.381373, epoch loss=3.775476 Batch=839, step=2040, lr=0.191750, batch loss=0.339639, epoch loss=4.115115 Batch=899, step=2100, lr=0.191500, batch loss=0.295235, epoch loss=4.410350 Batch=959, step=2160, lr=0.191250, batch loss=0.214031, epoch loss=4.624381 Batch=1019, step=2220, lr=0.191000, batch loss=0.330952, epoch loss=4.955333 Batch=1079, step=2280, lr=0.190750, batch loss=0.208268, epoch loss=5.163601 Batch=1139, step=2340, lr=0.190500, batch loss=0.278345, epoch loss=5.441946 Batch=1199, step=2400, lr=0.190250, batch loss=0.220810, epoch loss=5.662756 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662756 Batch=59, step=2460, lr=0.190000, batch loss=0.230375, epoch loss=0.230375 Batch=119, step=2520, lr=0.189750, batch loss=0.195951, epoch loss=0.426326 Batch=179, step=2580, lr=0.189500, batch loss=0.221163, epoch loss=0.647489 Batch=239, step=2640, lr=0.189250, batch loss=0.328097, epoch loss=0.975587 Batch=299, step=2700, lr=0.189000, batch loss=0.202941, epoch loss=1.178527 Batch=359, step=2760, lr=0.188750, batch loss=0.288264, epoch loss=1.466791 Batch=419, step=2820, lr=0.188500, batch loss=0.280171, epoch loss=1.746963 Batch=479, step=2880, lr=0.188250, batch loss=0.251467, epoch loss=1.998430 Batch=539, step=2940, lr=0.188000, batch loss=0.191280, epoch loss=2.189710 Batch=599, step=3000, lr=0.187750, batch loss=0.224956, epoch loss=2.414666 Batch=659, step=3060, lr=0.187500, batch loss=0.335784, epoch loss=2.750450 Batch=719, step=3120, lr=0.187250, batch loss=0.331391, epoch loss=3.081841 Batch=779, step=3180, lr=0.187000, batch loss=0.357947, epoch loss=3.439788 Batch=839, step=3240, lr=0.186750, batch loss=0.325586, epoch loss=3.765374 Batch=899, step=3300, lr=0.186500, batch loss=0.292407, epoch loss=4.057781 Batch=959, step=3360, lr=0.186250, batch loss=0.244894, epoch loss=4.302675 Batch=1019, step=3420, lr=0.185750, batch loss=0.361993, epoch loss=4.664668 Batch=1079, step=3480, lr=0.185750, batch loss=0.221599, epoch loss=4.886267 Batch=1139, step=3540, lr=0.185250, batch loss=0.264357, epoch loss=5.150624 Batch=1199, step=3600, lr=0.185250, batch loss=0.199835, epoch loss=5.350459 Epoch=2, step=3600, lr=0.185250, epoch loss=5.350459 Batch=59, step=3660, lr=0.184750, batch loss=0.221020, epoch loss=0.221020 Batch=119, step=3720, lr=0.184750, batch loss=0.185097, epoch loss=0.406117 Batch=179, step=3780, lr=0.184500, batch loss=0.211440, epoch loss=0.617557 Batch=239, step=3840, lr=0.184250, batch loss=0.316828, epoch loss=0.934386 Batch=299, step=3900, lr=0.184000, batch loss=0.209527, epoch loss=1.143912 Batch=359, step=3960, lr=0.183750, batch loss=0.285357, epoch loss=1.429269 Batch=419, step=4020, lr=0.183500, batch loss=0.278455, epoch loss=1.707724 Batch=479, step=4080, lr=0.183250, batch loss=0.254742, epoch loss=1.962466 Batch=539, step=4140, lr=0.183000, batch loss=0.200252, epoch loss=2.162718 Batch=599, step=4200, lr=0.182500, batch loss=0.242362, epoch loss=2.405080 Batch=659, step=4260, lr=0.182500, batch loss=0.327856, epoch loss=2.732936 Batch=719, step=4320, lr=0.182250, batch loss=0.330713, epoch loss=3.063649 Batch=779, step=4380, lr=0.182000, batch loss=0.349898, epoch loss=3.413547 Batch=839, step=4440, lr=0.181750, batch loss=0.317677, epoch loss=3.731223 Batch=899, step=4500, lr=0.181500, batch loss=0.286015, epoch loss=4.017239 Batch=959, step=4560, lr=0.181250, batch loss=0.239347, epoch loss=4.256585 Batch=1019, step=4620, lr=0.181000, batch loss=0.333358, epoch loss=4.589943 Batch=1079, step=4680, lr=0.180750, batch loss=0.195458, epoch loss=4.785401 Batch=1139, step=4740, lr=0.180500, batch loss=0.229201, epoch loss=5.014602 Batch=1199, step=4800, lr=0.180250, batch loss=0.191214, epoch loss=5.205815 Epoch=3, step=4800, lr=0.180250, epoch loss=5.205815 Batch=59, step=4860, lr=0.180000, batch loss=0.224219, epoch loss=0.224219 Batch=119, step=4920, lr=0.179750, batch loss=0.187082, epoch loss=0.411301 Batch=179, step=4980, lr=0.179500, batch loss=0.205273, epoch loss=0.616574 Batch=239, step=5040, lr=0.179250, batch loss=0.307584, epoch loss=0.924158 Batch=299, step=5100, lr=0.179000, batch loss=0.206302, epoch loss=1.130459 Batch=359, step=5160, lr=0.178750, batch loss=0.270149, epoch loss=1.400609 Batch=419, step=5220, lr=0.178500, batch loss=0.264885, epoch loss=1.665494 Batch=479, step=5280, lr=0.178250, batch loss=0.243139, epoch loss=1.908633 Batch=539, step=5340, lr=0.178000, batch loss=0.193125, epoch loss=2.101758 Batch=599, step=5400, lr=0.177750, batch loss=0.239448, epoch loss=2.341206 Batch=659, step=5460, lr=0.177500, batch loss=0.319180, epoch loss=2.660387 Batch=719, step=5520, lr=0.177250, batch loss=0.324000, epoch loss=2.984387 Batch=779, step=5580, lr=0.177000, batch loss=0.337478, epoch loss=3.321865 Batch=839, step=5640, lr=0.176750, batch loss=0.313155, epoch loss=3.635020 Batch=899, step=5700, lr=0.176500, batch loss=0.277357, epoch loss=3.912377 Batch=959, step=5760, lr=0.176250, batch loss=0.218661, epoch loss=4.131038 Batch=1019, step=5820, lr=0.176000, batch loss=0.332874, epoch loss=4.463912 Batch=1079, step=5880, lr=0.175750, batch loss=0.196067, epoch loss=4.659979 Batch=1139, step=5940, lr=0.175500, batch loss=0.228741, epoch loss=4.888721 Batch=1199, step=6000, lr=0.175250, batch loss=0.184450, epoch loss=5.073171 Epoch=4, step=6000, lr=0.175250, epoch loss=5.073171 Batch=59, step=6060, lr=0.175000, batch loss=0.223449, epoch loss=0.223449 Batch=119, step=6120, lr=0.174750, batch loss=0.184550, epoch loss=0.407998 Batch=179, step=6180, lr=0.174500, batch loss=0.200439, epoch loss=0.608437 Batch=239, step=6240, lr=0.174250, batch loss=0.299562, epoch loss=0.907999 Batch=299, step=6300, lr=0.174000, batch loss=0.212572, epoch loss=1.120571 Batch=359, step=6360, lr=0.173750, batch loss=0.272625, epoch loss=1.393196 Batch=419, step=6420, lr=0.173500, batch loss=0.266625, epoch loss=1.659821 Batch=479, step=6480, lr=0.173250, batch loss=0.242066, epoch loss=1.901887 Batch=539, step=6540, lr=0.173000, batch loss=0.195919, epoch loss=2.097806 Batch=599, step=6600, lr=0.172750, batch loss=0.233370, epoch loss=2.331176 Batch=659, step=6660, lr=0.172500, batch loss=0.312773, epoch loss=2.643949 Batch=719, step=6720, lr=0.172250, batch loss=0.318133, epoch loss=2.962082 Batch=779, step=6780, lr=0.172000, batch loss=0.329842, epoch loss=3.291924 Batch=839, step=6840, lr=0.171750, batch loss=0.305623, epoch loss=3.597547 Batch=899, step=6900, lr=0.171500, batch loss=0.270057, epoch loss=3.867604 Batch=959, step=6960, lr=0.171250, batch loss=0.207832, epoch loss=4.075436 Batch=1019, step=7020, lr=0.171000, batch loss=0.325707, epoch loss=4.401142 Batch=1079, step=7080, lr=0.170750, batch loss=0.177390, epoch loss=4.578532 Batch=1139, step=7140, lr=0.170500, batch loss=0.215561, epoch loss=4.794093 Batch=1199, step=7200, lr=0.170250, batch loss=0.180655, epoch loss=4.974747 Epoch=5, step=7200, lr=0.170250, epoch loss=4.974747 Batch=59, step=7260, lr=0.170000, batch loss=0.234445, epoch loss=0.234445 Batch=119, step=7320, lr=0.169750, batch loss=0.183027, epoch loss=0.417472 Batch=179, step=7380, lr=0.169500, batch loss=0.195431, epoch loss=0.612903 Batch=239, step=7440, lr=0.169250, batch loss=0.293109, epoch loss=0.906012 Batch=299, step=7500, lr=0.169000, batch loss=0.204378, epoch loss=1.110391 Batch=359, step=7560, lr=0.168750, batch loss=0.263411, epoch loss=1.373802 Batch=419, step=7620, lr=0.168500, batch loss=0.258127, epoch loss=1.631929 Batch=479, step=7680, lr=0.168250, batch loss=0.236306, epoch loss=1.868235 Batch=539, step=7740, lr=0.168000, batch loss=0.188517, epoch loss=2.056752 Batch=599, step=7800, lr=0.167750, batch loss=0.231679, epoch loss=2.288431 Batch=659, step=7860, lr=0.167500, batch loss=0.306156, epoch loss=2.594588 Batch=719, step=7920, lr=0.167250, batch loss=0.306073, epoch loss=2.900660 Batch=779, step=7980, lr=0.166750, batch loss=0.322213, epoch loss=3.222874 Batch=839, step=8040, lr=0.166750, batch loss=0.295124, epoch loss=3.517998 Batch=899, step=8100, lr=0.166500, batch loss=0.260361, epoch loss=3.778359 Batch=959, step=8160, lr=0.166250, batch loss=0.205536, epoch loss=3.983895 Batch=1019, step=8220, lr=0.166000, batch loss=0.315212, epoch loss=4.299106 Batch=1079, step=8280, lr=0.165750, batch loss=0.170469, epoch loss=4.469575 Batch=1139, step=8340, lr=0.165500, batch loss=0.206401, epoch loss=4.675976 Batch=1199, step=8400, lr=0.165250, batch loss=0.178659, epoch loss=4.854635 Epoch=6, step=8400, lr=0.165250, epoch loss=4.854635 Batch=59, step=8460, lr=0.165000, batch loss=0.227333, epoch loss=0.227333 Batch=119, step=8520, lr=0.164750, batch loss=0.175391, epoch loss=0.402725 Batch=179, step=8580, lr=0.164500, batch loss=0.186886, epoch loss=0.589610 Batch=239, step=8640, lr=0.164250, batch loss=0.276077, epoch loss=0.865687 Batch=299, step=8700, lr=0.164000, batch loss=0.192203, epoch loss=1.057890 Batch=359, step=8760, lr=0.163750, batch loss=0.249568, epoch loss=1.307458 Batch=419, step=8820, lr=0.163500, batch loss=0.242570, epoch loss=1.550028 Batch=479, step=8880, lr=0.163250, batch loss=0.227454, epoch loss=1.777482 Batch=539, step=8940, lr=0.163000, batch loss=0.178187, epoch loss=1.955668 Batch=599, step=9000, lr=0.162750, batch loss=0.217072, epoch loss=2.172740 Batch=659, step=9060, lr=0.162500, batch loss=0.293400, epoch loss=2.466140 Batch=719, step=9120, lr=0.162250, batch loss=0.293101, epoch loss=2.759241 Batch=779, step=9180, lr=0.162000, batch loss=0.314827, epoch loss=3.074068 Batch=839, step=9240, lr=0.161750, batch loss=0.286238, epoch loss=3.360306 Batch=899, step=9300, lr=0.161500, batch loss=0.251402, epoch loss=3.611708 Batch=959, step=9360, lr=0.161250, batch loss=0.189595, epoch loss=3.801303 Batch=1019, step=9420, lr=0.161000, batch loss=0.317673, epoch loss=4.118975 Batch=1079, step=9480, lr=0.160750, batch loss=0.199677, epoch loss=4.318652 Batch=1139, step=9540, lr=0.160500, batch loss=0.211561, epoch loss=4.530213 Batch=1199, step=9600, lr=0.160250, batch loss=0.167410, epoch loss=4.697623 Epoch=7, step=9600, lr=0.160250, epoch loss=4.697623 Batch=59, step=9660, lr=0.160000, batch loss=0.198915, epoch loss=0.198915 Batch=119, step=9720, lr=0.159750, batch loss=0.163732, epoch loss=0.362646 Batch=179, step=9780, lr=0.159500, batch loss=0.177360, epoch loss=0.540007 Batch=239, step=9840, lr=0.159250, batch loss=0.260730, epoch loss=0.800737 Batch=299, step=9900, lr=0.159000, batch loss=0.182964, epoch loss=0.983701 Batch=359, step=9960, lr=0.158750, batch loss=0.238472, epoch loss=1.222174 Batch=419, step=10020, lr=0.158500, batch loss=0.231357, epoch loss=1.453530 Batch=479, step=10080, lr=0.158250, batch loss=0.213871, epoch loss=1.667402 Batch=539, step=10140, lr=0.158000, batch loss=0.170987, epoch loss=1.838388 Batch=599, step=10200, lr=0.157750, batch loss=0.202682, epoch loss=2.041070 Batch=659, step=10260, lr=0.157500, batch loss=0.280332, epoch loss=2.321402 Batch=719, step=10320, lr=0.157250, batch loss=0.281713, epoch loss=2.603115 Batch=779, step=10380, lr=0.157000, batch loss=0.293454, epoch loss=2.896569 Batch=839, step=10440, lr=0.156750, batch loss=0.272265, epoch loss=3.168834 Batch=899, step=10500, lr=0.156500, batch loss=0.235391, epoch loss=3.404225 Batch=959, step=10560, lr=0.156250, batch loss=0.181422, epoch loss=3.585648 Batch=1019, step=10620, lr=0.156000, batch loss=0.294371, epoch loss=3.880018 Batch=1079, step=10680, lr=0.155750, batch loss=0.181913, epoch loss=4.061931 Batch=1139, step=10740, lr=0.155500, batch loss=0.203197, epoch loss=4.265128 Batch=1199, step=10800, lr=0.155250, batch loss=0.155443, epoch loss=4.420571 Epoch=8, step=10800, lr=0.155250, epoch loss=4.420571 Batch=59, step=10860, lr=0.155000, batch loss=0.178849, epoch loss=0.178849 Batch=119, step=10920, lr=0.154750, batch loss=0.151042, epoch loss=0.329890 Batch=179, step=10980, lr=0.154500, batch loss=0.166106, epoch loss=0.495997 Batch=239, step=11040, lr=0.154250, batch loss=0.246348, epoch loss=0.742345 Batch=299, step=11100, lr=0.154000, batch loss=0.161474, epoch loss=0.903819 Batch=359, step=11160, lr=0.153750, batch loss=0.216300, epoch loss=1.120119 Batch=419, step=11220, lr=0.153500, batch loss=0.215878, epoch loss=1.335996 Batch=479, step=11280, lr=0.153250, batch loss=0.210429, epoch loss=1.546425 Batch=539, step=11340, lr=0.153000, batch loss=0.162759, epoch loss=1.709184 Batch=599, step=11400, lr=0.152750, batch loss=0.176626, epoch loss=1.885810 Batch=659, step=11460, lr=0.152500, batch loss=0.265016, epoch loss=2.150826 Batch=719, step=11520, lr=0.152250, batch loss=0.262457, epoch loss=2.413283 Batch=779, step=11580, lr=0.152000, batch loss=0.271166, epoch loss=2.684449 Batch=839, step=11640, lr=0.151750, batch loss=0.249902, epoch loss=2.934351 Batch=899, step=11700, lr=0.151500, batch loss=0.218850, epoch loss=3.153201 Batch=959, step=11760, lr=0.151250, batch loss=0.182088, epoch loss=3.335289 Batch=1019, step=11820, lr=0.151000, batch loss=0.275533, epoch loss=3.610822 Batch=1079, step=11880, lr=0.150750, batch loss=0.145094, epoch loss=3.755916 Batch=1139, step=11940, lr=0.150500, batch loss=0.179511, epoch loss=3.935427 Batch=1199, step=12000, lr=0.150250, batch loss=0.138958, epoch loss=4.074385 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074385 Batch=59, step=12060, lr=0.150000, batch loss=0.160153, epoch loss=0.160153 Batch=119, step=12120, lr=0.149750, batch loss=0.130718, epoch loss=0.290871 Batch=179, step=12180, lr=0.149500, batch loss=0.150644, epoch loss=0.441515 Batch=239, step=12240, lr=0.149250, batch loss=0.221051, epoch loss=0.662566 Batch=299, step=12300, lr=0.149000, batch loss=0.142325, epoch loss=0.804891 Batch=359, step=12360, lr=0.148750, batch loss=0.194446, epoch loss=0.999337 Batch=419, step=12420, lr=0.148500, batch loss=0.206676, epoch loss=1.206013 Batch=479, step=12480, lr=0.148000, batch loss=0.177504, epoch loss=1.383517 Batch=539, step=12540, lr=0.147750, batch loss=0.142598, epoch loss=1.526115 Batch=599, step=12600, lr=0.147750, batch loss=0.148519, epoch loss=1.674634 Batch=659, step=12660, lr=0.147500, batch loss=0.226236, epoch loss=1.900871 Batch=719, step=12720, lr=0.147250, batch loss=0.230267, epoch loss=2.131138 Batch=779, step=12780, lr=0.147000, batch loss=0.247125, epoch loss=2.378262 Batch=839, step=12840, lr=0.146750, batch loss=0.223122, epoch loss=2.601384 Batch=899, step=12900, lr=0.146500, batch loss=0.190448, epoch loss=2.791832 Batch=959, step=12960, lr=0.146250, batch loss=0.161167, epoch loss=2.952999 Batch=1019, step=13020, lr=0.146000, batch loss=0.259729, epoch loss=3.212728 Batch=1079, step=13080, lr=0.145750, batch loss=0.120819, epoch loss=3.333547 Batch=1139, step=13140, lr=0.145500, batch loss=0.157331, epoch loss=3.490878 Batch=1199, step=13200, lr=0.145250, batch loss=0.118024, epoch loss=3.608903 Epoch=10, step=13200, lr=0.145250, epoch loss=3.608903 Batch=59, step=13260, lr=0.145000, batch loss=0.142358, epoch loss=0.142358 Batch=119, step=13320, lr=0.144750, batch loss=0.119524, epoch loss=0.261883 Batch=179, step=13380, lr=0.144500, batch loss=0.127052, epoch loss=0.388934 Batch=239, step=13440, lr=0.144250, batch loss=0.187040, epoch loss=0.575974 Batch=299, step=13500, lr=0.144000, batch loss=0.112919, epoch loss=0.688893 Batch=359, step=13560, lr=0.143750, batch loss=0.159702, epoch loss=0.848596 Batch=419, step=13620, lr=0.143500, batch loss=0.159118, epoch loss=1.007714 Batch=479, step=13680, lr=0.143250, batch loss=0.145749, epoch loss=1.153463 Batch=539, step=13740, lr=0.143000, batch loss=0.117082, epoch loss=1.270546 Batch=599, step=13800, lr=0.142750, batch loss=0.119637, epoch loss=1.390183 Batch=659, step=13860, lr=0.142500, batch loss=0.173824, epoch loss=1.564007 Batch=719, step=13920, lr=0.142250, batch loss=0.176065, epoch loss=1.740071 Batch=779, step=13980, lr=0.142000, batch loss=0.195183, epoch loss=1.935255 Batch=839, step=14040, lr=0.141750, batch loss=0.186315, epoch loss=2.121570 Batch=899, step=14100, lr=0.141500, batch loss=0.165566, epoch loss=2.287137 Batch=959, step=14160, lr=0.141250, batch loss=0.159734, epoch loss=2.446871 Batch=1019, step=14220, lr=0.141000, batch loss=0.368299, epoch loss=2.815170 Batch=1079, step=14280, lr=0.140750, batch loss=0.066654, epoch loss=2.881824 Batch=1139, step=14340, lr=0.140500, batch loss=0.122247, epoch loss=3.004071 Batch=1199, step=14400, lr=0.140250, batch loss=0.091991, epoch loss=3.096062 Epoch=11, step=14400, lr=0.140250, epoch loss=3.096062 Batch=59, step=14460, lr=0.140000, batch loss=0.123493, epoch loss=0.123493 Batch=119, step=14520, lr=0.139750, batch loss=0.111768, epoch loss=0.235261 Batch=179, step=14580, lr=0.139500, batch loss=0.109495, epoch loss=0.344756 Batch=239, step=14640, lr=0.139250, batch loss=0.144226, epoch loss=0.488982 Batch=299, step=14700, lr=0.139000, batch loss=0.077627, epoch loss=0.566609 Batch=359, step=14760, lr=0.138750, batch loss=0.120214, epoch loss=0.686823 Batch=419, step=14820, lr=0.138500, batch loss=0.125668, epoch loss=0.812491 Batch=479, step=14880, lr=0.138250, batch loss=0.095291, epoch loss=0.907781 Batch=539, step=14940, lr=0.138000, batch loss=0.086258, epoch loss=0.994040 Batch=599, step=15000, lr=0.137750, batch loss=0.086080, epoch loss=1.080120 Batch=659, step=15060, lr=0.137500, batch loss=0.142577, epoch loss=1.222697 Batch=719, step=15120, lr=0.137250, batch loss=0.162790, epoch loss=1.385487 Batch=779, step=15180, lr=0.137000, batch loss=0.261277, epoch loss=1.646764 Batch=839, step=15240, lr=0.136750, batch loss=0.131890, epoch loss=1.778653 Batch=899, step=15300, lr=0.136500, batch loss=0.131010, epoch loss=1.909664 Batch=959, step=15360, lr=0.136250, batch loss=0.089164, epoch loss=1.998827 Batch=1019, step=15420, lr=0.136000, batch loss=0.152827, epoch loss=2.151654 Batch=1079, step=15480, lr=0.135750, batch loss=0.049024, epoch loss=2.200678 Batch=1139, step=15540, lr=0.135500, batch loss=0.098438, epoch loss=2.299117 Batch=1199, step=15600, lr=0.135250, batch loss=0.061972, epoch loss=2.361089 Epoch=12, step=15600, lr=0.135250, epoch loss=2.361089 Batch=59, step=15660, lr=0.135000, batch loss=0.072531, epoch loss=0.072531 Batch=119, step=15720, lr=0.134750, batch loss=0.114097, epoch loss=0.186629 Batch=179, step=15780, lr=0.134500, batch loss=0.089394, epoch loss=0.276023 Batch=239, step=15840, lr=0.134250, batch loss=0.092209, epoch loss=0.368232 Batch=299, step=15900, lr=0.134000, batch loss=0.036710, epoch loss=0.404941 Batch=359, step=15960, lr=0.133750, batch loss=0.080171, epoch loss=0.485112 Batch=419, step=16020, lr=0.133500, batch loss=0.082527, epoch loss=0.567639 Batch=479, step=16080, lr=0.133250, batch loss=0.069439, epoch loss=0.637078 Batch=539, step=16140, lr=0.133000, batch loss=0.050215, epoch loss=0.687293 Batch=599, step=16200, lr=0.132750, batch loss=0.101131, epoch loss=0.788425 Batch=659, step=16260, lr=0.132500, batch loss=0.077167, epoch loss=0.865592 Batch=719, step=16320, lr=0.132250, batch loss=0.079756, epoch loss=0.945347 Batch=779, step=16380, lr=0.132000, batch loss=0.105080, epoch loss=1.050427 Batch=839, step=16440, lr=0.131750, batch loss=0.122196, epoch loss=1.172623 Batch=899, step=16500, lr=0.131500, batch loss=0.154231, epoch loss=1.326853 Batch=959, step=16560, lr=0.131250, batch loss=0.045727, epoch loss=1.372581 Batch=1019, step=16620, lr=0.131000, batch loss=0.113579, epoch loss=1.486160 Batch=1079, step=16680, lr=0.130750, batch loss=0.020228, epoch loss=1.506388 Batch=1139, step=16740, lr=0.130500, batch loss=0.045536, epoch loss=1.551924 Batch=1199, step=16800, lr=0.130250, batch loss=0.026505, epoch loss=1.578429 Epoch=13, step=16800, lr=0.130250, epoch loss=1.578429 Batch=59, step=16860, lr=0.130000, batch loss=0.031447, epoch loss=0.031447 Batch=119, step=16920, lr=0.129750, batch loss=0.038157, epoch loss=0.069604 Batch=179, step=16980, lr=0.129500, batch loss=0.041882, epoch loss=0.111486 Batch=239, step=17040, lr=0.129250, batch loss=0.063623, epoch loss=0.175109 Batch=299, step=17100, lr=0.129000, batch loss=0.033882, epoch loss=0.208991 Batch=359, step=17160, lr=0.128750, batch loss=0.057433, epoch loss=0.266425 Batch=419, step=17220, lr=0.128500, batch loss=0.122857, epoch loss=0.389281 Batch=479, step=17280, lr=0.128250, batch loss=0.026090, epoch loss=0.415371 Batch=539, step=17340, lr=0.128000, batch loss=0.031289, epoch loss=0.446660 Batch=599, step=17400, lr=0.127750, batch loss=0.048044, epoch loss=0.494704 Batch=659, step=17460, lr=0.127500, batch loss=0.048253, epoch loss=0.542957 Batch=719, step=17520, lr=0.127250, batch loss=0.038784, epoch loss=0.581741 Batch=779, step=17580, lr=0.127000, batch loss=0.040668, epoch loss=0.622409 Batch=839, step=17640, lr=0.126750, batch loss=0.059295, epoch loss=0.681704 Batch=899, step=17700, lr=0.126500, batch loss=0.059304, epoch loss=0.741008 Batch=959, step=17760, lr=0.126250, batch loss=0.037575, epoch loss=0.778582 Batch=1019, step=17820, lr=0.126000, batch loss=0.096492, epoch loss=0.875075 Batch=1079, step=17880, lr=0.125750, batch loss=0.023433, epoch loss=0.898507 Batch=1139, step=17940, lr=0.125500, batch loss=0.048980, epoch loss=0.947488 Batch=1199, step=18000, lr=0.125250, batch loss=0.020463, epoch loss=0.967950 Epoch=14, step=18000, lr=0.125250, epoch loss=0.967950 Batch=59, step=18060, lr=0.125000, batch loss=0.011852, epoch loss=0.011852 Batch=119, step=18120, lr=0.124750, batch loss=0.018770, epoch loss=0.030622 Batch=179, step=18180, lr=0.124500, batch loss=0.028225, epoch loss=0.058847 Batch=239, step=18240, lr=0.124250, batch loss=0.032004, epoch loss=0.090851 Batch=299, step=18300, lr=0.124000, batch loss=0.009735, epoch loss=0.100586 Batch=359, step=18360, lr=0.123750, batch loss=0.025715, epoch loss=0.126301 Batch=419, step=18420, lr=0.123500, batch loss=0.029303, epoch loss=0.155604 Batch=479, step=18480, lr=0.123250, batch loss=0.014655, epoch loss=0.170259 Batch=539, step=18540, lr=0.123000, batch loss=0.021471, epoch loss=0.191730 Batch=599, step=18600, lr=0.122750, batch loss=0.028643, epoch loss=0.220372 Batch=659, step=18660, lr=0.122500, batch loss=0.026234, epoch loss=0.246606 Batch=719, step=18720, lr=0.122250, batch loss=0.032313, epoch loss=0.278919 Batch=779, step=18780, lr=0.122000, batch loss=0.081599, epoch loss=0.360519 Batch=839, step=18840, lr=0.121750, batch loss=0.051112, epoch loss=0.411630 Batch=899, step=18900, lr=0.121500, batch loss=0.049004, epoch loss=0.460635 Batch=959, step=18960, lr=0.121250, batch loss=0.013924, epoch loss=0.474559 Batch=1019, step=19020, lr=0.121000, batch loss=0.023158, epoch loss=0.497717 Batch=1079, step=19080, lr=0.120750, batch loss=0.009340, epoch loss=0.507057 Batch=1139, step=19140, lr=0.120500, batch loss=0.022905, epoch loss=0.529962 Batch=1199, step=19200, lr=0.120250, batch loss=0.009120, epoch loss=0.539082 Epoch=15, step=19200, lr=0.120250, epoch loss=0.539082 Batch=59, step=19260, lr=0.120000, batch loss=0.004348, epoch loss=0.004348 Batch=119, step=19320, lr=0.119750, batch loss=0.025325, epoch loss=0.029673 Batch=179, step=19380, lr=0.119500, batch loss=0.073836, epoch loss=0.103509 Batch=239, step=19440, lr=0.119250, batch loss=0.030276, epoch loss=0.133785 Batch=299, step=19500, lr=0.119000, batch loss=0.009779, epoch loss=0.143564 Batch=359, step=19560, lr=0.118750, batch loss=0.025402, epoch loss=0.168966 Batch=419, step=19620, lr=0.118500, batch loss=0.021487, epoch loss=0.190454 Batch=479, step=19680, lr=0.118250, batch loss=0.007856, epoch loss=0.198310 Batch=539, step=19740, lr=0.118000, batch loss=0.018361, epoch loss=0.216671 Batch=599, step=19800, lr=0.117750, batch loss=0.021678, epoch loss=0.238349 Batch=659, step=19860, lr=0.117500, batch loss=0.017158, epoch loss=0.255506 Batch=719, step=19920, lr=0.117250, batch loss=0.032299, epoch loss=0.287805 Batch=779, step=19980, lr=0.117000, batch loss=0.064310, epoch loss=0.352116 Batch=839, step=20040, lr=0.116750, batch loss=0.031561, epoch loss=0.383676 Batch=899, step=20100, lr=0.116500, batch loss=0.029374, epoch loss=0.413050 Batch=959, step=20160, lr=0.116250, batch loss=0.015425, epoch loss=0.428476 Batch=1019, step=20220, lr=0.116000, batch loss=0.019485, epoch loss=0.447961 Batch=1079, step=20280, lr=0.115750, batch loss=0.005085, epoch loss=0.453046 Batch=1139, step=20340, lr=0.115500, batch loss=0.018623, epoch loss=0.471670 Batch=1199, step=20400, lr=0.115250, batch loss=0.006994, epoch loss=0.478664 Epoch=16, step=20400, lr=0.115250, epoch loss=0.478664 Batch=59, step=20460, lr=0.115000, batch loss=0.002794, epoch loss=0.002794 Batch=119, step=20520, lr=0.114750, batch loss=0.010937, epoch loss=0.013731 Batch=179, step=20580, lr=0.114250, batch loss=0.026082, epoch loss=0.039812 Batch=239, step=20640, lr=0.114250, batch loss=0.015772, epoch loss=0.055585 Batch=299, step=20700, lr=0.113750, batch loss=0.003061, epoch loss=0.058645 Batch=359, step=20760, lr=0.113500, batch loss=0.014300, epoch loss=0.072945 Batch=419, step=20820, lr=0.113250, batch loss=0.015755, epoch loss=0.088700 Batch=479, step=20880, lr=0.113000, batch loss=0.005253, epoch loss=0.093953 Batch=539, step=20940, lr=0.112750, batch loss=0.016446, epoch loss=0.110399 Batch=599, step=21000, lr=0.112500, batch loss=0.018094, epoch loss=0.128494 Batch=659, step=21060, lr=0.112250, batch loss=0.013949, epoch loss=0.142443 Batch=719, step=21120, lr=0.112250, batch loss=0.044502, epoch loss=0.186945 Batch=779, step=21180, lr=0.112000, batch loss=0.063488, epoch loss=0.250433 Batch=839, step=21240, lr=0.111750, batch loss=0.024886, epoch loss=0.275318 Batch=899, step=21300, lr=0.111500, batch loss=0.032100, epoch loss=0.307418 Batch=959, step=21360, lr=0.111250, batch loss=0.011643, epoch loss=0.319061 Batch=1019, step=21420, lr=0.111000, batch loss=0.013719, epoch loss=0.332780 Batch=1079, step=21480, lr=0.110750, batch loss=0.000819, epoch loss=0.333598 Batch=1139, step=21540, lr=0.110500, batch loss=0.012818, epoch loss=0.346417 Batch=1199, step=21600, lr=0.110250, batch loss=0.004833, epoch loss=0.351250 Epoch=17, step=21600, lr=0.110250, epoch loss=0.351250 Batch=59, step=21660, lr=0.110000, batch loss=0.001557, epoch loss=0.001557 Batch=119, step=21720, lr=0.109750, batch loss=0.008230, epoch loss=0.009787 Batch=179, step=21780, lr=0.109500, batch loss=0.016782, epoch loss=0.026569 Batch=239, step=21840, lr=0.109250, batch loss=0.013059, epoch loss=0.039627 Batch=299, step=21900, lr=0.109000, batch loss=0.002720, epoch loss=0.042347 Batch=359, step=21960, lr=0.108750, batch loss=0.012275, epoch loss=0.054622 Batch=419, step=22020, lr=0.108500, batch loss=0.012218, epoch loss=0.066839 Batch=479, step=22080, lr=0.108250, batch loss=0.002791, epoch loss=0.069630 Batch=539, step=22140, lr=0.108000, batch loss=0.016895, epoch loss=0.086525 Batch=599, step=22200, lr=0.107750, batch loss=0.016668, epoch loss=0.103193 Batch=659, step=22260, lr=0.107500, batch loss=0.015061, epoch loss=0.118255 Batch=719, step=22320, lr=0.107250, batch loss=0.026865, epoch loss=0.145119 Batch=779, step=22380, lr=0.107000, batch loss=0.045614, epoch loss=0.190734 Batch=839, step=22440, lr=0.106750, batch loss=0.020811, epoch loss=0.211544 Batch=899, step=22500, lr=0.106500, batch loss=0.022718, epoch loss=0.234262 Batch=959, step=22560, lr=0.106250, batch loss=0.011012, epoch loss=0.245274 Batch=1019, step=22620, lr=0.106000, batch loss=0.009106, epoch loss=0.254380 Batch=1079, step=22680, lr=0.105750, batch loss=0.000010, epoch loss=0.254390 Batch=1139, step=22740, lr=0.105500, batch loss=0.009859, epoch loss=0.264249 Batch=1199, step=22800, lr=0.105250, batch loss=0.004416, epoch loss=0.268664 Epoch=18, step=22800, lr=0.105250, epoch loss=0.268664 Batch=59, step=22860, lr=0.105000, batch loss=0.001204, epoch loss=0.001204 Batch=119, step=22920, lr=0.104750, batch loss=0.005365, epoch loss=0.006569 Batch=179, step=22980, lr=0.104500, batch loss=0.010098, epoch loss=0.016667 Batch=239, step=23040, lr=0.104250, batch loss=0.009005, epoch loss=0.025672 Batch=299, step=23100, lr=0.104000, batch loss=0.007193, epoch loss=0.032865 Batch=359, step=23160, lr=0.103750, batch loss=0.013580, epoch loss=0.046445 Batch=419, step=23220, lr=0.103500, batch loss=0.010775, epoch loss=0.057219 Batch=479, step=23280, lr=0.103250, batch loss=0.002340, epoch loss=0.059560 Batch=539, step=23340, lr=0.103000, batch loss=0.016936, epoch loss=0.076496 Batch=599, step=23400, lr=0.102750, batch loss=0.013667, epoch loss=0.090163 Batch=659, step=23460, lr=0.102500, batch loss=0.010426, epoch loss=0.100589 Batch=719, step=23520, lr=0.102250, batch loss=0.013998, epoch loss=0.114587 Batch=779, step=23580, lr=0.102000, batch loss=0.021751, epoch loss=0.136337 Batch=839, step=23640, lr=0.101750, batch loss=0.024720, epoch loss=0.161058 Batch=899, step=23700, lr=0.101500, batch loss=0.023615, epoch loss=0.184672 Batch=959, step=23760, lr=0.101250, batch loss=0.008538, epoch loss=0.193210 Batch=1019, step=23820, lr=0.101000, batch loss=0.007857, epoch loss=0.201067 Batch=1079, step=23880, lr=0.100750, batch loss=0.000838, epoch loss=0.201905 Batch=1139, step=23940, lr=0.100500, batch loss=0.009138, epoch loss=0.211044 Batch=1199, step=24000, lr=0.100250, batch loss=0.004965, epoch loss=0.216009 Epoch=19, step=24000, lr=0.100250, epoch loss=0.216009 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########****************************************..│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#********************************.......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##**********...........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########************************..........%.│ │******######**********..........%.........**************##*#####**********************........%.%.%.│ │***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│ │*#######************...........%%%%%%%..........************#######**************............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%..............********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................*******..................%.%%.%%......│ │**************.......................%..%%%%%%%.................****..............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ "/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1 2025-03-21 13:26.40: Job failed: Failed: Build failed