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-22.04-5.3_opam-2.3) Base: ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18 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-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18 # ubuntu-22.04-5.3_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-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18-ubuntu-22.04-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5" 2025-03-21 13:23.09: Using OBuilder spec: ((from ocaml/opam:ubuntu-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18) (comment ubuntu-22.04-5.3_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 13:25.57: Got resource from pool OCluster Building on clete.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-22.04-ocaml-5.3@sha256:99c5a502c60386ca37516e8d10372b031a2191411a2b352e3c52debec31a5a18) 2025-03-21 13:25.58 ---> using "5fa3078d03c36c41486be280786245ce69ede71e099f6e9f139dd603c7cf19d4" from cache /: (comment ubuntu-22.04-5.3_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 13:25.58 ---> using "9fa2948f62ebf217b649feb63f54e071fb9cc3561596dd542f41ffce6afc87f1" 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 [NOTE] The 'jobs' option was reset, its value was 255 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=255 --global 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 13:25.58 ---> using "6bb8b431014597f12d2db6d70bc54ee86c04939a285e36b59374c9676b94689d" 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 13:25.58 ---> using "d15d3dd480d27c7fd8aa5a3de30d468c1769f04fa3a4f1bedfa6f96e8d0510a7" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-03-21 13:25.58 ---> using "a7270fe5f693c720164e7c354c393f9a21e9315d8aed1fab45dcaf4532593257" 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 13:25.58 ---> using "b9081b86d112f52a5b2a436010565648eb558bc6347fc2a7975c62c7dc1940c2" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-03-21 13:25.58 ---> using "05991b78f27d2a88d91f36b176d3314a08e1ea573f761bf8f93bbd76425fc4f6" 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 13:25.58 ---> using "807bbf37d939dd4092bca7d440ffb160e496426a2a69ad1632c1ddad40e79c0c" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-03-21 13:25.58 ---> using "d9a05614942a657f7fe8f6a85aa7ca8b78b82377363475172805f850cadb351d" 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://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB] - Hit:2 http://archive.ubuntu.com/ubuntu jammy InRelease - Get:3 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB] - Get:4 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [127 kB] - Get:5 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [1237 kB] - Get:6 http://security.ubuntu.com/ubuntu jammy-security/restricted amd64 Packages [3798 kB] - Get:7 http://archive.ubuntu.com/ubuntu jammy-updates/restricted amd64 Packages [3962 kB] - Get:8 http://security.ubuntu.com/ubuntu jammy-security/multiverse amd64 Packages [57.9 kB] - Get:9 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [2692 kB] - Get:10 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1535 kB] - Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [3003 kB] - Get:12 http://archive.ubuntu.com/ubuntu jammy-updates/multiverse amd64 Packages [65.7 kB] - Fetched 16.7 MB in 3s (5044 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 libglib2.0-0: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 ... 15669 files and directories currently installed.) - Preparing to unpack .../0-libglib2.0-0_2.72.4-0ubuntu2.4_amd64.deb ... - Unpacking libglib2.0-0:amd64 (2.72.4-0ubuntu2.4) ... - Selecting previously unselected package libglib2.0-data. - Preparing to unpack .../1-libglib2.0-data_2.72.4-0ubuntu2.4_all.deb ... - Unpacking libglib2.0-data (2.72.4-0ubuntu2.4) ... - Selecting previously unselected package libicu70:amd64. - Preparing to unpack .../2-libicu70_70.1-2_amd64.deb ... - Unpacking libicu70:amd64 (70.1-2) ... - Selecting previously unselected package libxml2:amd64. - Preparing to unpack .../3-libxml2_2.9.13+dfsg-1ubuntu0.6_amd64.deb ... - Unpacking libxml2:amd64 (2.9.13+dfsg-1ubuntu0.6) ... - Selecting previously unselected package shared-mime-info. - Preparing to unpack .../4-shared-mime-info_2.1-2_amd64.deb ... - Unpacking shared-mime-info (2.1-2) ... - Selecting previously unselected package xdg-user-dirs. - Preparing to unpack .../5-xdg-user-dirs_0.17-2ubuntu4_amd64.deb ... - Unpacking xdg-user-dirs (0.17-2ubuntu4) ... - Selecting previously unselected package pkg-config. - Preparing to unpack .../6-pkg-config_0.29.2-1ubuntu3_amd64.deb ... - Unpacking pkg-config (0.29.2-1ubuntu3) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../7-libffi-dev_3.4.2-4_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.2-4) ... - Setting up xdg-user-dirs (0.17-2ubuntu4) ... - Setting up libglib2.0-0:amd64 (2.72.4-0ubuntu2.4) ... - No schema files found: doing nothing. - Setting up libffi-dev:amd64 (3.4.2-4) ... - Setting up libglib2.0-data (2.72.4-0ubuntu2.4) ... - Setting up pkg-config (0.29.2-1ubuntu3) ... - Setting up libicu70:amd64 (70.1-2) ... - Setting up libxml2:amd64 (2.9.13+dfsg-1ubuntu0.6) ... - Setting up shared-mime-info (2.1-2) ... - Processing triggers for libc-bin (2.35-0ubuntu3.9) ... 2025-03-21 13:25.58 ---> using "f598d9c22acd5ee595e7581bf673d6063ef40f3458ca2a79e1a3f467b14c9e0b" 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 ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved dune.3.17.2, dune-configurator.3.17.2 (cached) -> installed num.1.5-1 -> 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 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 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 tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed ptime.1.2.0 -> installed dune.3.17.2 -> installed ppx_derivers.1.2.1 -> installed jane-street-headers.v0.17.0 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed multicore-magic.2.3.1 -> installed cppo.1.8.0 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.17.2 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed uucp.16.0.0 -> installed base.v0.17.1 -> installed printbox-text.0.12 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed printbox-md.0.12 -> installed stdio.v0.17.0 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_enumerate.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_base.v0.17.0 -> installed ppx_minidebug.2.1.0 -> 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 13:25.58 ---> using "464c44eabc9d8b0a682db25e77e1f7f24616ebff7ea9a5548bedd54452f0c48f" from cache /src: (copy (src .) (dst /src)) 2025-03-21 13:25.59 ---> saved as "20b3f1c317b26403a0e75b2f385ea10b2054f3fc487e6f7a3e3f9c52fc71a887" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/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/bce5b6ae6586bf88cb3b3b62bef4fbe5/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/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/bd34085a51375aec7bd3719a9e5b3b0f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/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/bd34085a51375aec7bd3719a9e5b3b0f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/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/bd34085a51375aec7bd3719a9e5b3b0f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/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/bd34085a51375aec7bd3719a9e5b3b0f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/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/bd34085a51375aec7bd3719a9e5b3b0f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/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/bd34085a51375aec7bd3719a9e5b3b0f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/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/bd34085a51375aec7bd3719a9e5b3b0f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/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/bd34085a51375aec7bd3719a9e5b3b0f/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/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/bd34085a51375aec7bd3719a9e5b3b0f/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/bd34085a51375aec7bd3719a9e5b3b0f/default/test/primitive_ops.ml.corrected diff --git a/_build/default/test/primitive_ops.ml b/_build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/default/test/primitive_ops.ml.corrected index 18fb8fd..4dd32f4 100644 --- a/_build/default/test/primitive_ops.ml +++ b/_build/.sandbox/bd34085a51375aec7bd3719a9e5b3b0f/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=0.192750, batch loss=0.250384, epoch loss=2.672042 Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243 Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160 Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542 Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179 Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413 Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446 Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419 Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654 Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028 Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821 Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363 Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481 Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578 Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525 Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415 Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160 Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004 Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802 Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881 Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937 Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479 Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468 Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248 Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112 Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523 Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923 Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236 Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812 Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723 Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723 Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539 Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341 Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053 Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157 Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168 Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420 Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854 Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365 Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593 Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989 Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121 Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243 Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563 Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333 Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239 Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610 Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501 Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094 Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306 Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074 Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074 Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079 Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298 Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203 Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269 Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862 Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001 Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056 Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748 Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194 Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213 Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805 Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672 Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851 Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195 Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366 Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287 Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436 Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264 Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319 Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180 Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180 Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529 Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820 Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361 Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741 Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671 Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786 Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067 Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387 Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355 Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855 Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963 Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184 Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407 Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164 Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633 Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671 Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133 Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999 Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312 Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223 Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223 Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877 Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301 Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593 Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416 Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253 Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689 Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497 Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495 Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390 Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314 Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229 Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518 Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460 Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885 Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660 Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955 Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988 Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087 Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829 Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103 Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103 Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725 Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742 Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559 Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762 Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755 Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388 Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988 Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580 Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712 Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101 Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915 Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348 Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075 Batch=839, step=9240, lr=0.161750, batch loss=0.287243, epoch loss=3.376318 Batch=899, step=9300, lr=0.161500, batch loss=0.251060, epoch loss=3.627378 Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817911 Batch=1019, step=9420, lr=0.161000, batch loss=0.311728, epoch loss=4.129639 Batch=1079, step=9480, lr=0.160750, batch loss=0.191595, epoch loss=4.321234 Batch=1139, step=9540, lr=0.160500, batch loss=0.215772, epoch loss=4.537006 Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702626 Epoch=7, step=9600, lr=0.160250, epoch loss=4.702626 Batch=59, step=9660, lr=0.160000, batch loss=0.197217, epoch loss=0.197217 Batch=119, step=9720, lr=0.159750, batch loss=0.165467, epoch loss=0.362684 Batch=179, step=9780, lr=0.159500, batch loss=0.179286, epoch loss=0.541970 Batch=239, step=9840, lr=0.159250, batch loss=0.263837, epoch loss=0.805807 Batch=299, step=9900, lr=0.159000, batch loss=0.182187, epoch loss=0.987994 Batch=359, step=9960, lr=0.158750, batch loss=0.240842, epoch loss=1.228836 Batch=419, step=10020, lr=0.158500, batch loss=0.232979, epoch loss=1.461815 Batch=479, step=10080, lr=0.158250, batch loss=0.213194, epoch loss=1.675009 Batch=539, step=10140, lr=0.157750, batch loss=0.170694, epoch loss=1.845703 Batch=599, step=10200, lr=0.157750, batch loss=0.200166, epoch loss=2.045869 Batch=659, step=10260, lr=0.157500, batch loss=0.283095, epoch loss=2.328964 Batch=719, step=10320, lr=0.157250, batch loss=0.288671, epoch loss=2.617635 Batch=779, step=10380, lr=0.157000, batch loss=0.296948, epoch loss=2.914583 Batch=839, step=10440, lr=0.156750, batch loss=0.267601, epoch loss=3.182185 Batch=899, step=10500, lr=0.156500, batch loss=0.242786, epoch loss=3.424970 Batch=959, step=10560, lr=0.156250, batch loss=0.198532, epoch loss=3.623503 Batch=1019, step=10620, lr=0.156000, batch loss=0.295289, epoch loss=3.918791 Batch=1079, step=10680, lr=0.155750, batch loss=0.178501, epoch loss=4.097292 Batch=1139, step=10740, lr=0.155500, batch loss=0.205537, epoch loss=4.302829 Batch=1199, step=10800, lr=0.155250, batch loss=0.156122, epoch loss=4.458951 Epoch=8, step=10800, lr=0.155250, epoch loss=4.458951 Batch=59, step=10860, lr=0.155000, batch loss=0.177359, epoch loss=0.177359 Batch=119, step=10920, lr=0.154750, batch loss=0.152431, epoch loss=0.329790 Batch=179, step=10980, lr=0.154500, batch loss=0.167110, epoch loss=0.496900 Batch=239, step=11040, lr=0.154250, batch loss=0.242581, epoch loss=0.739481 Batch=299, step=11100, lr=0.154000, batch loss=0.170088, epoch loss=0.909569 Batch=359, step=11160, lr=0.153750, batch loss=0.222033, epoch loss=1.131602 Batch=419, step=11220, lr=0.153500, batch loss=0.229345, epoch loss=1.360947 Batch=479, step=11280, lr=0.153250, batch loss=0.202792, epoch loss=1.563739 Batch=539, step=11340, lr=0.153000, batch loss=0.159188, epoch loss=1.722927 Batch=599, step=11400, lr=0.152750, batch loss=0.178424, epoch loss=1.901351 Batch=659, step=11460, lr=0.152500, batch loss=0.264788, epoch loss=2.166139 Batch=719, step=11520, lr=0.152250, batch loss=0.256878, epoch loss=2.423017 Batch=779, step=11580, lr=0.152000, batch loss=0.273376, epoch loss=2.696393 Batch=839, step=11640, lr=0.151750, batch loss=0.255721, epoch loss=2.952114 Batch=899, step=11700, lr=0.151500, batch loss=0.213000, epoch loss=3.165114 Batch=959, step=11760, lr=0.151250, batch loss=0.168072, epoch loss=3.333185 Batch=1019, step=11820, lr=0.151000, batch loss=0.266190, epoch loss=3.599376 Batch=1079, step=11880, lr=0.150750, batch loss=0.149623, epoch loss=3.748999 Batch=1139, step=11940, lr=0.150500, batch loss=0.185631, epoch loss=3.934629 Batch=1199, step=12000, lr=0.150250, batch loss=0.139469, epoch loss=4.074099 Epoch=9, step=12000, lr=0.150250, epoch loss=4.074099 Batch=59, step=12060, lr=0.150000, batch loss=0.157976, epoch loss=0.157976 Batch=119, step=12120, lr=0.149750, batch loss=0.128872, epoch loss=0.286848 Batch=179, step=12180, lr=0.149500, batch loss=0.150416, epoch loss=0.437263 Batch=239, step=12240, lr=0.149250, batch loss=0.223228, epoch loss=0.660491 Batch=299, step=12300, lr=0.149000, batch loss=0.142688, epoch loss=0.803180 Batch=359, step=12360, lr=0.148750, batch loss=0.195367, epoch loss=0.998546 Batch=419, step=12420, lr=0.148500, batch loss=0.206288, epoch loss=1.204834 Batch=479, step=12480, lr=0.148250, batch loss=0.178694, epoch loss=1.383528 Batch=539, step=12540, lr=0.148000, batch loss=0.142637, epoch loss=1.526165 Batch=599, step=12600, lr=0.147750, batch loss=0.150407, epoch loss=1.676572 Batch=659, step=12660, lr=0.147500, batch loss=0.224915, epoch loss=1.901487 Batch=719, step=12720, lr=0.147250, batch loss=0.235263, epoch loss=2.136750 Batch=779, step=12780, lr=0.147000, batch loss=0.252721, epoch loss=2.389472 Batch=839, step=12840, lr=0.146750, batch loss=0.224939, epoch loss=2.614411 Batch=899, step=12900, lr=0.146500, batch loss=0.185341, epoch loss=2.799752 Batch=959, step=12960, lr=0.146250, batch loss=0.148893, epoch loss=2.948645 Batch=1019, step=13020, lr=0.146000, batch loss=0.268093, epoch loss=3.216738 Batch=1079, step=13080, lr=0.145750, batch loss=0.115292, epoch loss=3.332030 Batch=1139, step=13140, lr=0.145500, batch loss=0.155429, epoch loss=3.487459 Batch=1199, step=13200, lr=0.145250, batch loss=0.118517, epoch loss=3.605976 Epoch=10, step=13200, lr=0.145250, epoch loss=3.605976 Batch=59, step=13260, lr=0.145000, batch loss=0.143338, epoch loss=0.143338 Batch=119, step=13320, lr=0.144750, batch loss=0.119724, epoch loss=0.263062 Batch=179, step=13380, lr=0.144500, batch loss=0.127196, epoch loss=0.390258 Batch=239, step=13440, lr=0.144250, batch loss=0.186773, epoch loss=0.577031 Batch=299, step=13500, lr=0.144000, batch loss=0.112775, epoch loss=0.689806 Batch=359, step=13560, lr=0.143750, batch loss=0.161573, epoch loss=0.851379 Batch=419, step=13620, lr=0.143500, batch loss=0.160607, epoch loss=1.011986 Batch=479, step=13680, lr=0.143250, batch loss=0.147312, epoch loss=1.159298 Batch=539, step=13740, lr=0.143000, batch loss=0.118081, epoch loss=1.277379 Batch=599, step=13800, lr=0.142750, batch loss=0.119990, epoch loss=1.397369 Batch=659, step=13860, lr=0.142500, batch loss=0.175909, epoch loss=1.573278 Batch=719, step=13920, lr=0.142250, batch loss=0.172504, epoch loss=1.745782 Batch=779, step=13980, lr=0.142000, batch loss=0.178533, epoch loss=1.924315 Batch=839, step=14040, lr=0.141750, batch loss=0.186034, epoch loss=2.110349 Batch=899, step=14100, lr=0.141500, batch loss=0.178315, epoch loss=2.288664 Batch=959, step=14160, lr=0.141250, batch loss=0.145980, epoch loss=2.434644 Batch=1019, step=14220, lr=0.141000, batch loss=0.330336, epoch loss=2.764980 Batch=1079, step=14280, lr=0.140750, batch loss=0.082606, epoch loss=2.847587 Batch=1139, step=14340, lr=0.140500, batch loss=0.122366, epoch loss=2.969952 Batch=1199, step=14400, lr=0.140250, batch loss=0.091761, epoch loss=3.061713 Epoch=11, step=14400, lr=0.140250, epoch loss=3.061713 Batch=59, step=14460, lr=0.139750, batch loss=0.112731, epoch loss=0.112731 Batch=119, step=14520, lr=0.139750, batch loss=0.102718, epoch loss=0.215448 Batch=179, step=14580, lr=0.139500, batch loss=0.106358, epoch loss=0.321806 Batch=239, step=14640, lr=0.139250, batch loss=0.140544, epoch loss=0.462350 Batch=299, step=14700, lr=0.139000, batch loss=0.080993, epoch loss=0.543343 Batch=359, step=14760, lr=0.138750, batch loss=0.125439, epoch loss=0.668781 Batch=419, step=14820, lr=0.138500, batch loss=0.129141, epoch loss=0.797923 Batch=479, step=14880, lr=0.138250, batch loss=0.101568, epoch loss=0.899491 Batch=539, step=14940, lr=0.138000, batch loss=0.098380, epoch loss=0.997871 Batch=599, step=15000, lr=0.137750, batch loss=0.084890, epoch loss=1.082761 Batch=659, step=15060, lr=0.137500, batch loss=0.129158, epoch loss=1.211919 Batch=719, step=15120, lr=0.137250, batch loss=0.124977, epoch loss=1.336896 Batch=779, step=15180, lr=0.137000, batch loss=0.128676, epoch loss=1.465572 Batch=839, step=15240, lr=0.136750, batch loss=0.147681, epoch loss=1.613253 Batch=899, step=15300, lr=0.136500, batch loss=0.161960, epoch loss=1.775212 Batch=959, step=15360, lr=0.136250, batch loss=0.102986, epoch loss=1.878199 Batch=1019, step=15420, lr=0.136000, batch loss=0.217321, epoch loss=2.095520 Batch=1079, step=15480, lr=0.135750, batch loss=0.035468, epoch loss=2.130988 Batch=1139, step=15540, lr=0.135500, batch loss=0.086280, epoch loss=2.217268 Batch=1199, step=15600, lr=0.135250, batch loss=0.053749, epoch loss=2.271017 Epoch=12, step=15600, lr=0.135250, epoch loss=2.271017 Batch=59, step=15660, lr=0.135000, batch loss=0.088058, epoch loss=0.088058 Batch=119, step=15720, lr=0.134750, batch loss=0.146508, epoch loss=0.234566 Batch=179, step=15780, lr=0.134500, batch loss=0.102601, epoch loss=0.337168 Batch=239, step=15840, lr=0.134250, batch loss=0.097387, epoch loss=0.434554 Batch=299, step=15900, lr=0.134000, batch loss=0.043786, epoch loss=0.478341 Batch=359, step=15960, lr=0.133750, batch loss=0.079662, epoch loss=0.558002 Batch=419, step=16020, lr=0.133500, batch loss=0.078816, epoch loss=0.636818 Batch=479, step=16080, lr=0.133250, batch loss=0.068124, epoch loss=0.704942 Batch=539, step=16140, lr=0.133000, batch loss=0.052995, epoch loss=0.757937 Batch=599, step=16200, lr=0.132750, batch loss=0.097707, epoch loss=0.855645 Batch=659, step=16260, lr=0.132500, batch loss=0.074664, epoch loss=0.930309 Batch=719, step=16320, lr=0.132250, batch loss=0.089909, epoch loss=1.020217 Batch=779, step=16380, lr=0.132000, batch loss=0.151355, epoch loss=1.171573 Batch=839, step=16440, lr=0.131750, batch loss=0.122461, epoch loss=1.294033 Batch=899, step=16500, lr=0.131500, batch loss=0.143717, epoch loss=1.437750 Batch=959, step=16560, lr=0.131250, batch loss=0.033387, epoch loss=1.471138 Batch=1019, step=16620, lr=0.131000, batch loss=0.083895, epoch loss=1.555033 Batch=1079, step=16680, lr=0.130750, batch loss=0.035031, epoch loss=1.590064 Batch=1139, step=16740, lr=0.130500, batch loss=0.071092, epoch loss=1.661156 Batch=1199, step=16800, lr=0.130250, batch loss=0.033434, epoch loss=1.694590 Epoch=13, step=16800, lr=0.130250, epoch loss=1.694590 Batch=59, step=16860, lr=0.130000, batch loss=0.034838, epoch loss=0.034838 Batch=119, step=16920, lr=0.129750, batch loss=0.035123, epoch loss=0.069962 Batch=179, step=16980, lr=0.129500, batch loss=0.041267, epoch loss=0.111229 Batch=239, step=17040, lr=0.129250, batch loss=0.054763, epoch loss=0.165992 Batch=299, step=17100, lr=0.129000, batch loss=0.018440, epoch loss=0.184431 Batch=359, step=17160, lr=0.128750, batch loss=0.041701, epoch loss=0.226132 Batch=419, step=17220, lr=0.128500, batch loss=0.044590, epoch loss=0.270722 Batch=479, step=17280, lr=0.128250, batch loss=0.032508, epoch loss=0.303231 Batch=539, step=17340, lr=0.128000, batch loss=0.061553, epoch loss=0.364784 Batch=599, step=17400, lr=0.127750, batch loss=0.034825, epoch loss=0.399609 Batch=659, step=17460, lr=0.127500, batch loss=0.047970, epoch loss=0.447579 Batch=719, step=17520, lr=0.127250, batch loss=0.056164, epoch loss=0.503742 Batch=779, step=17580, lr=0.127000, batch loss=0.133157, epoch loss=0.636900 Batch=839, step=17640, lr=0.126750, batch loss=0.097711, epoch loss=0.734611 Batch=899, step=17700, lr=0.126500, batch loss=0.129866, epoch loss=0.864476 Batch=959, step=17760, lr=0.126250, batch loss=0.022063, epoch loss=0.886540 Batch=1019, step=17820, lr=0.126000, batch loss=0.041904, epoch loss=0.928444 Batch=1079, step=17880, lr=0.125750, batch loss=0.010795, epoch loss=0.939239 Batch=1139, step=17940, lr=0.125500, batch loss=0.029070, epoch loss=0.968309 Batch=1199, step=18000, lr=0.125250, batch loss=0.013546, epoch loss=0.981855 Epoch=14, step=18000, lr=0.125250, epoch loss=0.981855 Batch=59, step=18060, lr=0.125000, batch loss=0.010982, epoch loss=0.010982 Batch=119, step=18120, lr=0.124750, batch loss=0.018351, epoch loss=0.029333 Batch=179, step=18180, lr=0.124500, batch loss=0.029608, epoch loss=0.058942 Batch=239, step=18240, lr=0.124250, batch loss=0.033721, epoch loss=0.092662 Batch=299, step=18300, lr=0.123750, batch loss=0.010051, epoch loss=0.102714 Batch=359, step=18360, lr=0.123750, batch loss=0.023752, epoch loss=0.126466 Batch=419, step=18420, lr=0.123500, batch loss=0.038609, epoch loss=0.165075 Batch=479, step=18480, lr=0.123250, batch loss=0.019185, epoch loss=0.184260 Batch=539, step=18540, lr=0.123000, batch loss=0.040079, epoch loss=0.224339 Batch=599, step=18600, lr=0.122750, batch loss=0.026762, epoch loss=0.251101 Batch=659, step=18660, lr=0.122500, batch loss=0.032239, epoch loss=0.283340 Batch=719, step=18720, lr=0.122250, batch loss=0.031887, epoch loss=0.315227 Batch=779, step=18780, lr=0.122000, batch loss=0.085238, epoch loss=0.400465 Batch=839, step=18840, lr=0.121750, batch loss=0.060228, epoch loss=0.460693 Batch=899, step=18900, lr=0.121500, batch loss=0.074959, epoch loss=0.535651 Batch=959, step=18960, lr=0.121250, batch loss=0.013614, epoch loss=0.549265 Batch=1019, step=19020, lr=0.121000, batch loss=0.019202, epoch loss=0.568468 Batch=1079, step=19080, lr=0.120750, batch loss=0.008780, epoch loss=0.577248 Batch=1139, step=19140, lr=0.120500, batch loss=0.023253, epoch loss=0.600501 Batch=1199, step=19200, lr=0.120250, batch loss=0.010169, epoch loss=0.610670 Epoch=15, step=19200, lr=0.120250, epoch loss=0.610670 Batch=59, step=19260, lr=0.120000, batch loss=0.004940, epoch loss=0.004940 Batch=119, step=19320, lr=0.119750, batch loss=0.018720, epoch loss=0.023660 Batch=179, step=19380, lr=0.119500, batch loss=0.054926, epoch loss=0.078586 Batch=239, step=19440, lr=0.119250, batch loss=0.023419, epoch loss=0.102006 Batch=299, step=19500, lr=0.119000, batch loss=0.016371, epoch loss=0.118377 Batch=359, step=19560, lr=0.118750, batch loss=0.032958, epoch loss=0.151335 Batch=419, step=19620, lr=0.118500, batch loss=0.020443, epoch loss=0.171778 Batch=479, step=19680, lr=0.118250, batch loss=0.008027, epoch loss=0.179805 Batch=539, step=19740, lr=0.118000, batch loss=0.017379, epoch loss=0.197183 Batch=599, step=19800, lr=0.117750, batch loss=0.023916, epoch loss=0.221099 Batch=659, step=19860, lr=0.117500, batch loss=0.019457, epoch loss=0.240556 Batch=719, step=19920, lr=0.117250, batch loss=0.042550, epoch loss=0.283106 Batch=779, step=19980, lr=0.117000, batch loss=0.079122, epoch loss=0.362227 Batch=839, step=20040, lr=0.116750, batch loss=0.030764, epoch loss=0.392992 Batch=899, step=20100, lr=0.116500, batch loss=0.032464, epoch loss=0.425455 Batch=959, step=20160, lr=0.116250, batch loss=0.011603, epoch loss=0.437058 Batch=1019, step=20220, lr=0.116000, batch loss=0.014594, epoch loss=0.451652 Batch=1079, step=20280, lr=0.115750, batch loss=0.002148, epoch loss=0.453800 Batch=1139, step=20340, lr=0.115500, batch loss=0.014682, epoch loss=0.468482 Batch=1199, step=20400, lr=0.115250, batch loss=0.005471, epoch loss=0.473953 Epoch=16, step=20400, lr=0.115250, epoch loss=0.473953 Batch=59, step=20460, lr=0.115000, batch loss=0.002874, epoch loss=0.002874 Batch=119, step=20520, lr=0.114750, batch loss=0.010250, epoch loss=0.013123 Batch=179, step=20580, lr=0.114500, batch loss=0.026132, epoch loss=0.039255 Batch=239, step=20640, lr=0.114250, batch loss=0.014412, epoch loss=0.053667 Batch=299, step=20700, lr=0.114000, batch loss=0.003540, epoch loss=0.057207 Batch=359, step=20760, lr=0.113750, batch loss=0.012911, epoch loss=0.070118 Batch=419, step=20820, lr=0.113500, batch loss=0.014809, epoch loss=0.084927 Batch=479, step=20880, lr=0.113250, batch loss=0.005187, epoch loss=0.090114 Batch=539, step=20940, lr=0.113000, batch loss=0.015798, epoch loss=0.105912 Batch=599, step=21000, lr=0.112750, batch loss=0.017758, epoch loss=0.123670 Batch=659, step=21060, lr=0.112500, batch loss=0.015856, epoch loss=0.139526 Batch=719, step=21120, lr=0.112250, batch loss=0.040278, epoch loss=0.179803 Batch=779, step=21180, lr=0.112000, batch loss=0.065366, epoch loss=0.245169 Batch=839, step=21240, lr=0.111750, batch loss=0.024767, epoch loss=0.269936 Batch=899, step=21300, lr=0.111500, batch loss=0.027422, epoch loss=0.297358 Batch=959, step=21360, lr=0.111250, batch loss=0.010435, epoch loss=0.307793 Batch=1019, step=21420, lr=0.111000, batch loss=0.010455, epoch loss=0.318248 Batch=1079, step=21480, lr=0.110750, batch loss=0.001618, epoch loss=0.319866 Batch=1139, step=21540, lr=0.110500, batch loss=0.012371, epoch loss=0.332237 Batch=1199, step=21600, lr=0.110250, batch loss=0.004745, epoch loss=0.336982 Epoch=17, step=21600, lr=0.110250, epoch loss=0.336982 Batch=59, step=21660, lr=0.110000, batch loss=0.002487, epoch loss=0.002487 Batch=119, step=21720, lr=0.109750, batch loss=0.006854, epoch loss=0.009341 Batch=179, step=21780, lr=0.109500, batch loss=0.013689, epoch loss=0.023031 Batch=239, step=21840, lr=0.109250, batch loss=0.014456, epoch loss=0.037486 Batch=299, step=21900, lr=0.109000, batch loss=0.003849, epoch loss=0.041335 Batch=359, step=21960, lr=0.108750, batch loss=0.010628, epoch loss=0.051963 Batch=419, step=22020, lr=0.108500, batch loss=0.011044, epoch loss=0.063008 Batch=479, step=22080, lr=0.108250, batch loss=0.002945, epoch loss=0.065953 Batch=539, step=22140, lr=0.108000, batch loss=0.017378, epoch loss=0.083331 Batch=599, step=22200, lr=0.107750, batch loss=0.016819, epoch loss=0.100150 Batch=659, step=22260, lr=0.107500, batch loss=0.015140, epoch loss=0.115289 Batch=719, step=22320, lr=0.107250, batch loss=0.025508, epoch loss=0.140797 Batch=779, step=22380, lr=0.107000, batch loss=0.034758, epoch loss=0.175555 Batch=839, step=22440, lr=0.106750, batch loss=0.024718, epoch loss=0.200274 Batch=899, step=22500, lr=0.106500, batch loss=0.028417, epoch loss=0.228691 Batch=959, step=22560, lr=0.106250, batch loss=0.009111, epoch loss=0.237802 Batch=1019, step=22620, lr=0.106000, batch loss=0.010639, epoch loss=0.248441 Batch=1079, step=22680, lr=0.105750, batch loss=0.000552, epoch loss=0.248993 Batch=1139, step=22740, lr=0.105500, batch loss=0.010483, epoch loss=0.259475 Batch=1199, step=22800, lr=0.105250, batch loss=0.004572, epoch loss=0.264047 Epoch=18, step=22800, lr=0.105250, epoch loss=0.264047 Batch=59, step=22860, lr=0.105000, batch loss=0.001719, epoch loss=0.001719 Batch=119, step=22920, lr=0.104750, batch loss=0.005433, epoch loss=0.007152 Batch=179, step=22980, lr=0.104500, batch loss=0.010751, epoch loss=0.017904 Batch=239, step=23040, lr=0.104250, batch loss=0.009096, epoch loss=0.027000 Batch=299, step=23100, lr=0.104000, batch loss=0.009336, epoch loss=0.036336 Batch=359, step=23160, lr=0.103750, batch loss=0.012384, epoch loss=0.048720 Batch=419, step=23220, lr=0.103500, batch loss=0.011102, epoch loss=0.059821 Batch=479, step=23280, lr=0.103250, batch loss=0.003551, epoch loss=0.063372 Batch=539, step=23340, lr=0.103000, batch loss=0.015566, epoch loss=0.078938 Batch=599, step=23400, lr=0.102750, batch loss=0.013803, epoch loss=0.092741 Batch=659, step=23460, lr=0.102500, batch loss=0.011878, epoch loss=0.104619 Batch=719, step=23520, lr=0.102250, batch loss=0.010264, epoch loss=0.114883 Batch=779, step=23580, lr=0.102000, batch loss=0.018312, epoch loss=0.133195 Batch=839, step=23640, lr=0.101750, batch loss=0.029540, epoch loss=0.162735 Batch=899, step=23700, lr=0.101500, batch loss=0.020127, epoch loss=0.182862 Batch=959, step=23760, lr=0.101250, batch loss=0.009169, epoch loss=0.192031 Batch=1019, step=23820, lr=0.101000, batch loss=0.007795, epoch loss=0.199826 Batch=1079, step=23880, lr=0.100750, batch loss=0.000685, epoch loss=0.200511 Batch=1139, step=23940, lr=0.100500, batch loss=0.009246, epoch loss=0.209757 Batch=1199, step=24000, lr=0.100250, batch loss=0.004433, epoch loss=0.214190 Epoch=19, step=24000, lr=0.100250, epoch loss=0.214190 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 13:26.31: Job failed: Failed: Build failed