2025-05-22 20:00.59: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (39741884b740497ac10065d5e464e6c70f9151f4) (linux-x86_64:debian-12-5.2_opam-2.3) Base: ocaml/opam:debian-12-ocaml-5.2@sha256:a17317e9abe385dc16b4390c64a374046d6dd562e80aea838d91c6c1335da357 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 39741884 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:debian-12-ocaml-5.2@sha256:a17317e9abe385dc16b4390c64a374046d6dd562e80aea838d91c6c1335da357 # debian-12-5.2_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 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && git log --no-decorate -n1 --oneline && opam update -u COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./ RUN opam pin add -yn neural_nets_lib.dev './' && \ opam pin add -yn arrayjit.dev './' RUN echo '(lang dune 3.0)' > './dune-project' ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-22 20:00.59: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.2@sha256:a17317e9abe385dc16b4390c64a374046d6dd562e80aea838d91c6c1335da357-debian-12-5.2_opam-2.3-f1d22c9a39b51ed645a4a58d29fbcce5" 2025-05-22 20:00.59: Using OBuilder spec: ((from ocaml/opam:debian-12-ocaml-5.2@sha256:a17317e9abe385dc16b4390c64a374046d6dd562e80aea838d91c6c1335da357) (comment debian-12-5.2_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 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && git log --no-decorate -n1 --oneline && opam update -u")) (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) (run (network host) (shell "opam pin add -yn neural_nets_lib.dev './' && \ \nopam pin add -yn arrayjit.dev './'")) (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-22 20:00.59: Waiting for resource in pool OCluster 2025-05-22 20:00.59: Waiting for worker… 2025-05-22 20:01.13: Got resource from pool OCluster Building on toxis.caelum.ci.dev All commits already cached HEAD is now at 39741884 Untested: convert remaining uses of Format except where printing Sexp values (from ocaml/opam:debian-12-ocaml-5.2@sha256:a17317e9abe385dc16b4390c64a374046d6dd562e80aea838d91c6c1335da357) 2025-05-22 20:01.18 ---> using "54ec013a6f149facc0d7142b09647559c040b9be9f10f3b28aedc92eb0aa3eda" from cache /: (comment debian-12-5.2_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")) 2025-05-22 20:01.18 ---> using "c2927949a690e79730c631d7a8829146d4d2b9a42c6543f46b7f5eb020a6256d" 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 39 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=39 --global Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-22 20:01.18 ---> using "a7fd5cacf3665fbb975eef60f5b8ef985d00ea4b339eac782682eead64b75f01" from cache /src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version")) Linux 5.15.0-134-generic The OCaml toplevel, version 5.2.1 2.3.0 2025-05-22 20:01.18 ---> using "7adba0ccf89541c88b795935f2449fd37f815bccab093d57590be9ba50021241" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-22 20:01.18 ---> using "b491f791e6cf8593356bc2c9bd1da33ed7889986fb1cee97a62247171886e89a" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 2df846cb67d6f96ae4fced111519ff4ae27d19ae || git fetch origin master) && git reset -q --hard 2df846cb67d6f96ae4fced111519ff4ae27d19ae && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 0d013e603b..2df846cb67 master -> origin/master 2df846cb67 Merge pull request #27910 from maiste/release-dune-3.19.0 <><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><> [default] synchronised from git+file:///home/opam/opam-repository Everything as up-to-date as possible (run with --verbose to show unavailable upgrades). However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages. Nothing to do. # To update the current shell environment, run: eval $(opam env) 2025-05-22 20:02.01 ---> saved as "e899542b767f8b08f9affbbfd4b98bf8872e1d0f269d4d0826246c95c1050a82" /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-22 20:02.01 ---> saved as "8ba6a4a9a08333968e5b77dd3f74a94abc810cc426a4cc29c4f5f3e8b2d8ef4b" /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) 2025-05-22 20:02.06 ---> saved as "6fba3d151fabf1ee013f84f1d399864e8772fd39fa46bbb1722a22137c9346bc" /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-22 20:02.06 ---> saved as "8859150331e1220b6123ff33db8bbea75670be329c38591444c3c05d78a3658d" /src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.19.0 dune-configurator.3.19.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.2.1 ocaml-base-compiler.5.2.1 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.0 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB] - Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB] - Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB] - Get:4 http://deb.debian.org/debian bookworm/main amd64 Packages [8793 kB] - Get:5 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [259 kB] - Fetched 9306 kB in 2s (3816 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-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [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-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libffi-dev: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 ... 18778 files and directories currently installed.) - Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.4-1) ... - Selecting previously unselected package libpkgconf3:amd64. - Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-1) ... - Setting up libffi-dev:amd64 (3.4.4-1) ... - Setting up libpkgconf3:amd64 (1.8.1-1) ... - Setting up pkgconf-bin (1.8.1-1) ... - Setting up pkgconf:amd64 (1.8.1-1) ... - Setting up pkg-config:amd64 (1.8.1-1) ... - Processing triggers for libc-bin (2.36-9+deb12u10) ... 2025-05-22 20:02.40 ---> saved as "d17e8dcf88ff5735ace1e1e2b6e94d6585fcb7bec92fe58c6fe7d65d3a74846d" /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-base-compiler is already installed (current version is 5.2.1). [NOTE] Package ocaml is already installed (current version is 5.2.1). [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-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following actions will be performed: === install 75 packages - install angstrom 0.16.1 - install astring 0.8.5 - install backoff 0.1.1 - install base v0.17.2 - install bigarray-compat 1.1.0 - install bigstringaf 0.10.0 - install camlp-streams 5.0.1 - install cmdliner 1.3.0 - install conf-libffi 2.0.0 - install conf-pkg-config 4 - install cppo 1.8.0 - install csexp 1.5.2 - install ctypes 0.23.0 - install ctypes-foreign 0.23.0 - install dune 3.19.0 - install dune-configurator 3.19.0 - install fieldslib v0.17.0 - install fmt 0.10.0 - install integers 0.7.0 - install jane-street-headers v0.17.0 - install jst-config v0.17.0 - install logs 0.8.0 - install mdx 2.5.0 - install mtime 2.1.0 - install multicore-magic 2.3.1 - install num 1.5-1 - install ocaml-compiler-libs v0.17.0 - install ocaml-syntax-shims 1.0.0 - install ocaml-version 4.0.0 - install ocaml_intrinsics_kernel v0.17.1 - install ocamlbuild 0.16.1 - install ocamlfind 1.9.8 - install parsexp v0.17.0 - install pprint 20230830 - install ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.0 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved cppo.1.8.0 (cached) -> installed conf-pkg-config.4 -> retrieved csexp.1.5.2 (cached) -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> installed conf-libffi.2.0.0 -> retrieved fieldslib.v0.17.0 (cached) -> retrieved integers.0.7.0 (cached) -> retrieved fmt.0.10.0 (cached) -> retrieved jane-street-headers.v0.17.0 (cached) -> retrieved jst-config.v0.17.0 (cached) -> retrieved logs.0.8.0 (cached) -> retrieved mtime.2.1.0 (cached) -> retrieved mdx.2.5.0 (cached) -> retrieved multicore-magic.2.3.1 (cached) -> retrieved num.1.5-1 (cached) -> retrieved ocaml-compiler-libs.v0.17.0 (cached) -> retrieved ocaml-syntax-shims.1.0.0 (cached) -> retrieved ocaml-version.4.0.0 (cached) -> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached) -> retrieved ocamlfind.1.9.8 (cached) -> retrieved ocamlbuild.0.16.1 (cached) -> retrieved parsexp.v0.17.0 (cached) -> retrieved pprint.20230830 (cached) -> retrieved ppx_assert.v0.17.0 (cached) -> retrieved ppx_base.v0.17.0 (cached) -> retrieved ppx_cold.v0.17.0 (cached) -> retrieved ppx_compare.v0.17.0 (cached) -> retrieved ppx_derivers.1.2.1 (cached) -> retrieved ppx_deriving.6.0.3 (cached) -> retrieved ppx_enumerate.v0.17.0 (cached) -> retrieved ppx_expect.v0.17.2 (cached) -> retrieved ppx_fields_conv.v0.17.0 (cached) -> retrieved ppx_globalize.v0.17.0 (cached) -> retrieved ppx_hash.v0.17.0 (cached) -> retrieved ppx_here.v0.17.0 (cached) -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppxlib_jane.v0.17.0 (cached) -> retrieved dune.3.19.0, dune-configurator.3.19.0 (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 ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved seq.base (cached) -> retrieved result.1.5 (cached) -> retrieved sexplib.v0.17.0 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> installed seq.base -> 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 thread-local-storage.0.2 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed 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 fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.19.0 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed multicore-magic.2.3.1 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed pprint.20230830 -> installed printbox.0.12 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed ocaml-syntax-shims.1.0.0 -> installed thread-local-storage.0.2 -> installed ocaml-compiler-libs.v0.17.0 -> installed cppo.1.8.0 -> installed re.1.12.0 -> installed integers.0.7.0 -> installed saturn_lockfree.0.5.0 -> installed parsexp.v0.17.0 -> installed dune-configurator.3.19.0 -> installed bigstringaf.0.10.0 -> installed sexplib.v0.17.0 -> installed mdx.2.5.0 -> installed angstrom.0.16.1 -> installed tyxml.4.6.0 -> installed printbox-html.0.12 -> installed ctypes.0.23.0 -> installed ctypes-foreign.0.23.0 -> installed base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> 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 ppxlib_jane.v0.17.0 -> installed ppx_optcomp.v0.17.0 -> installed ppx_cold.v0.17.0 -> installed ppx_here.v0.17.0 -> installed ppx_variants_conv.v0.17.0 -> installed ppx_fields_conv.v0.17.0 -> installed ppx_enumerate.v0.17.0 -> installed ppx_globalize.v0.17.0 -> installed ppx_compare.v0.17.0 -> installed ppx_deriving.6.0.3 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_base.v0.17.0 -> installed ppx_minidebug.2.2.0 -> 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) 2025-05-22 20:05.12 ---> saved as "6ff7e024a11b4589bd6972ecb1f4f25ee35a2227e23f2272266ab68ee843f4b4" /src: (copy (src .) (dst /src)) 2025-05-22 20:05.13 ---> saved as "cb39b0ac4fcbc74079aefdcc9d48519dff3c2d9fa002c53976c4a9ef0485b03c" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Wrote value of 'backend' to ocannl_backend.txt (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/b12ed6cdc190b115c071468af82e0450/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/6222ca0f1fd23b1c64112c5d2659a276/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/dune", lines 30-40, characters 0-281: 30 | (rule 31 | (alias runtest) 32 | (target 33 | (dir log_files)) 34 | (action 35 | (run 36 | %{dep:micrograd_demo_logging.exe} 37 | "--ocannl_debug_backend=text" 38 | "--ocannl_log_file_stem=micrograd_demo_logging" 39 | "--ocannl_log_main_domain_to_stdout=false" 40 | "--ocannl_debug_log_to_stream_files=true"))) (cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Retrieving commandline, environment, or config file variable ocannl_cd_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Found true, commandline --ocannl_debug_log_to_stream_files=true Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41 Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64 Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31 Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59 Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38 Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82 Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92 Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92 Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77 (cd _build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file File "test/micrograd_demo.ml", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/micrograd_demo.ml _build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/micrograd_demo.ml.corrected diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/micrograd_demo.ml.corrected index 77e46c6..ab81526 100644 --- a/_build/default/test/micrograd_demo.ml +++ b/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/micrograd_demo.ml.corrected @@ -52,15 +52,14 @@ let%expect_test "Micrograd README basic example" = │├┼───────┤ │ │││ -4.00 │ │ │└┴───────┘ │ - └─────────────────┘ - ┌────────────────────────┐ - │[0]: a shape 0:1 grad_a│ - │┌┬─────────┐ │ - │││axis 0 │ │ - │├┼─────────┤ │ - │││ 1.38e+2 │ │ - │└┴─────────┘ │ - └────────────────────────┘ + └─────────────────┘┌────────────────────────┐ + │[0]: a shape 0:1 grad_a│ + │┌┬─────────┐ │ + │││axis 0 │ │ + │├┼─────────┤ │ + │││ 1.38e+2 │ │ + │└┴─────────┘ │ + └────────────────────────┘ |}]; Tensor.print ~with_code:false ~with_grad:true `Default b; [%expect @@ -72,15 +71,14 @@ let%expect_test "Micrograd README basic example" = │├┼──────┤ │ │││ 2.00 │ │ │└┴──────┘ │ - └─────────────────┘ - ┌────────────────────────┐ - │[2]: b shape 0:1 grad_b│ - │┌┬─────────┐ │ - │││axis 0 │ │ - │├┼─────────┤ │ - │││ 6.45e+2 │ │ - │└┴─────────┘ │ - └────────────────────────┘ + └─────────────────┘┌────────────────────────┐ + │[2]: b shape 0:1 grad_b│ + │┌┬─────────┐ │ + │││axis 0 │ │ + │├┼─────────┤ │ + │││ 6.45e+2 │ │ + │└┴─────────┘ │ + └────────────────────────┘ |}] let%expect_test "Micrograd half-moons example" = File "test/hello_world_op.ml", line 1, characters 0-0: /usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/hello_world_op.ml _build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/hello_world_op.ml.corrected diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/hello_world_op.ml.corrected index ba9d7ef..6bfa309 100644 --- a/_build/default/test/hello_world_op.ml +++ b/_build/.sandbox/b12ed6cdc190b115c071468af82e0450/default/test/hello_world_op.ml.corrected @@ -102,36 +102,46 @@ let%expect_test "Print constant tensor" = let%op hey = [ (1, 2, 3); (4, 5, 6) ] in Train.forward_and_forget backend ctx hey; Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey; - [%expect {| [1.00, 2.00, 3.00; 4.00, 5.00, 6.00] |}]; + [%expect {| + [0]: [ 1.00 , 2.00 , 3.00 ; 4.00 , 5.00 , 6.00 ]_hey shape 1:3->0:2 [ + 1.00 , 2.00 , 3.00 + ; 4.00 , 5.00 , 6.00 + ] + |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hey; [%expect {| - ┌─────────────────────────────────────────────────────────────┐ - │[0]: [1.00, 2.00, 3.00; 4.00, 5.00, 6.00]_hey shape 1:3->0:2 │ - │┌──────┬──────────────────┐ │ - ││ │axis 1 │ │ - │├──────┼──────────────────┤ │ - ││axis 0│ 1.00 2.00 3.00 │ │ - ││ │ 4.00 5.00 6.00 │ │ - │└──────┴──────────────────┘ │ - └─────────────────────────────────────────────────────────────┘ + ┌────────────────────────────────────────────────────────────────────────┐ + │[0]: [ 1.00 , 2.00 , 3.00 ; 4.00 , 5.00 , 6.00 ]_hey shape 1:3->0:2 │ + │┌──────┬──────────────────┐ │ + ││ │axis 1 │ │ + │├──────┼──────────────────┤ │ + ││axis 0│ 1.00 2.00 3.00 │ │ + ││ │ 4.00 5.00 6.00 │ │ + │└──────┴──────────────────┘ │ + └────────────────────────────────────────────────────────────────────────┘ |}]; let%op hoo = [| [ 1; 2; 3 ]; [ 4; 5; 6 ] |] in Train.forward_and_forget backend ctx hoo; Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo; - [%expect {| [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|] |}]; + [%expect {| + [1]: [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |]_hoo shape 0:2|1:3 [| + [ 1.00 ; 2.00 ; 3.00 ] + ; [ 4.00 ; 5.00 ; 6.00 ] + |] + |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo; [%expect {| - ┌──────────────────────────────────────────────────────────────────┐ - │[1]: [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|]_hoo shape 0:2|1:3 │ - │┌──────┬──────────────────┐ │ - ││ │axis 1 │ │ - │├──────┼──────────────────┤ │ - ││axis 0│ 1.00 2.00 3.00 │ │ - ││ │ 4.00 5.00 6.00 │ │ - │└──────┴──────────────────┘ │ - └──────────────────────────────────────────────────────────────────┘ + ┌─────────────────────────────────────────────────────────────────────────────┐ + │[1]: [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |]_hoo shape 0:2|1:3 │ + │┌──────┬──────────────────┐ │ + ││ │axis 1 │ │ + │├──────┼──────────────────┤ │ + ││axis 0│ 1.00 2.00 3.00 │ │ + ││ │ 4.00 5.00 6.00 │ │ + │└──────┴──────────────────┘ │ + └─────────────────────────────────────────────────────────────────────────────┘ |}]; let%op hey2 = [ @@ -145,10 +155,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey2; [%expect {| - [(1.00, 2.00, 3.00), (4.00, 5.00, 6.00); - (7.00, 8.00, 9.00), (10.00, 11.00, 12.00); - (13.00, 14.00, 15.00), (16.00, 17.00, 18.00); - (19.00, 20.00, 21.00), (22.00, 23.00, 24.00)] + [2]: c4x2x3_hey2 shape 1:2,2:3->0:4 [ + ( 1.00 , 2.00 , 3.00 ) , ( 4.00 , 5.00 , 6.00 ) + ; ( 7.00 , 8.00 , 9.00 ) , ( 10.00 , 11.00 , 12.00 ) + ; ( 13.00 , 14.00 , 15.00 ) , ( 16.00 , 17.00 , 18.00 ) + ; ( 19.00 , 20.00 , 21.00 ) , ( 22.00 , 23.00 , 24.00 ) + ] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hey2; [%expect @@ -178,10 +190,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo2; [%expect {| - [|[[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]]; - [[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]]; - [[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]]; - [[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]]|] + [3]: c4x2x3_hoo2 shape 0:4|1:2,2:3 [| + [ [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] ] + ; [ [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] ] + ; [ [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] ] + ; [ [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] ] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo2; [%expect @@ -209,10 +223,12 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo; [%expect {| - [|[|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|]; - [|[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]|]; - [|[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]|]; - [|[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]|]|] + [4]: c4x2x3_heyhoo shape 0:4,1:2|2:3 [| + [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |] + ; [| [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] |] + ; [| [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] |] + ; [| [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] |] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo; [%expect @@ -240,15 +256,24 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo2; [%expect {| - [| - [|[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]]; - [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]|]; - [|[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]]; - [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]|]; - [|[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]]; - [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]|]; - [|[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]]; - [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]|]|] + [5]: c4x2x3x2_heyhoo2 shape 0:4,1:2|2:3,3:2 [| + [| + [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ] + ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ] + |] + ; [| + [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ] + ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ] + |] + ; [| + [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ] + ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ] + |] + ; [| + [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ] + ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ] + |] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo2; [%expect @@ -293,17 +318,28 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo3; [%expect {| - [| + [6]: c2x2x2x3x2_heyhoo3 shape 0:2,1:2|2:2,3:3,4:2 [| [| - [[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]]; - [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]]; - [[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]]; - [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]]|]; - [| - [[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]]; - [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]]; - [[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]]; - [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]]|]|] + [ + [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ] + ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ] + ] + ; [ + [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ] + ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ] + ] + |] + ; [| + [ + [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ] + ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ] + ] + ; [ + [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ] + ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ] + ] + |] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo3; [%expect @@ -353,17 +389,28 @@ let%expect_test "Print constant tensor" = Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo4; [%expect {| - [| - [ - [[1.00, 31.00; 2.00, 32.00; 3.00, 33.00]; - [4.00, 34.00; 5.00, 35.00; 6.00, 36.00]]; - [[7.00, 37.00; 8.00, 38.00; 9.00, 39.00]; - [10.00, 40.00; 11.00, 41.00; 12.00, 42.00]]]; + [7]: c2x2x2x3x2_heyhoo4 shape 0:2|4:2->1:2,2:2,3:3 [| [ - [[13.00, 43.00; 14.00, 44.00; 15.00, 45.00]; - [16.00, 46.00; 17.00, 47.00; 18.00, 48.00]]; - [[19.00, 49.00; 20.00, 50.00; 21.00, 51.00]; - [22.00, 52.00; 23.00, 53.00; 24.00, 54.00]]]|] + [ + [ 1.00 , 31.00 ; 2.00 , 32.00 ; 3.00 , 33.00 ] + ; [ 4.00 , 34.00 ; 5.00 , 35.00 ; 6.00 , 36.00 ] + ] + ; [ + [ 7.00 , 37.00 ; 8.00 , 38.00 ; 9.00 , 39.00 ] + ; [ 10.00 , 40.00 ; 11.00 , 41.00 ; 12.00 , 42.00 ] + ] + ] + ; [ + [ + [ 13.00 , 43.00 ; 14.00 , 44.00 ; 15.00 , 45.00 ] + ; [ 16.00 , 46.00 ; 17.00 , 47.00 ; 18.00 , 48.00 ] + ] + ; [ + [ 19.00 , 49.00 ; 20.00 , 50.00 ; 21.00 , 51.00 ] + ; [ 22.00 , 52.00 ; 23.00 , 53.00 ; 24.00 , 54.00 ] + ] + ] + |] |}]; Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo4; [%expect @@ -462,8 +509,29 @@ let%expect_test "Big matrix" = Tensor.print ~with_code:false ~with_grad:false `Inline zero_to_twenty; [%expect {| - [0.00; 1.00; 2.00; 3.00; 4.00; 5.00; 6.00; 7.00; 8.00; 9.00; 10.00; 11.00; - 12.00; 13.00; 14.00; 15.00; 16.00; 17.00; 18.00; 19.00; 20.00] + [2]: 0...20 shape 0:21 [ + 0.00 + ; 1.00 + ; 2.00 + ; 3.00 + ; 4.00 + ; 5.00 + ; 6.00 + ; 7.00 + ; 8.00 + ; 9.00 + ; 10.00 + ; 11.00 + ; 12.00 + ; 13.00 + ; 14.00 + ; 15.00 + ; 16.00 + ; 17.00 + ; 18.00 + ; 19.00 + ; 20.00 + ] |}]; Tensor.print ~with_code:false ~with_grad:false `Default zero_to_twenty; [%expect (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found multicore_cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 72)))) @!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity Found true, in the config file Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files Not found, using default false Retrieving commandline, environment, or config file variable ocannl_ll_ident_style Not found, using default heuristic Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level Not found, using default 3 Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command Not found, using default gcc Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout Not found, using default false Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453 Batch=119, step=120, lr=0.199750, batch loss=8.539634, 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=0.197500, batch loss=1.063878, epoch loss=41.596263 Batch=659, step=660, lr=0.197250, batch loss=0.483159, epoch loss=42.079422 Batch=719, step=720, lr=0.197000, batch loss=0.411291, epoch loss=42.490714 Batch=779, step=780, lr=0.196750, batch loss=0.468697, epoch loss=42.959411 Batch=839, step=840, lr=0.196500, batch loss=0.443342, epoch loss=43.402753 Batch=899, step=900, lr=0.196250, batch loss=0.383518, epoch loss=43.786271 Batch=959, step=960, lr=0.196000, batch loss=0.243127, epoch loss=44.029398 Batch=1019, step=1020, lr=0.195750, batch loss=0.454392, epoch loss=44.483790 Batch=1079, step=1080, lr=0.195500, batch loss=0.254356, epoch loss=44.738146 Batch=1139, step=1140, lr=0.195250, batch loss=0.335735, epoch loss=45.073882 Batch=1199, step=1200, lr=0.195250, batch loss=0.262306, epoch loss=45.336188 Epoch=0, step=1200, lr=0.195250, epoch loss=45.336188 Batch=59, step=1260, lr=0.195000, batch loss=0.261125, epoch loss=0.261125 Batch=119, step=1320, lr=0.194750, batch loss=0.206825, epoch loss=0.467950 Batch=179, step=1380, lr=0.194500, batch loss=0.246683, epoch loss=0.714633 Batch=239, step=1440, lr=0.194250, batch loss=0.352130, epoch loss=1.066763 Batch=299, step=1500, lr=0.194000, batch loss=0.235771, epoch loss=1.302534 Batch=359, step=1560, lr=0.193750, batch loss=0.312398, epoch loss=1.614932 Batch=419, step=1620, lr=0.193250, batch loss=0.309011, epoch loss=1.923943 Batch=479, step=1680, lr=0.193000, batch loss=0.273480, epoch loss=2.197423 Batch=539, step=1740, lr=0.192750, batch loss=0.210916, epoch loss=2.408340 Batch=599, step=1800, lr=0.192750, batch loss=0.250444, epoch loss=2.658784 Batch=659, step=1860, lr=0.192500, batch loss=0.369694, epoch loss=3.028478 Batch=719, step=1920, lr=0.192250, batch loss=0.365337, epoch loss=3.393815 Batch=779, step=1980, lr=0.192000, batch loss=0.384071, epoch loss=3.777886 Batch=839, step=2040, lr=0.191750, batch loss=0.341756, epoch loss=4.119642 Batch=899, step=2100, lr=0.191500, batch loss=0.302667, epoch loss=4.422308 Batch=959, step=2160, lr=0.191250, batch loss=0.234160, epoch loss=4.656469 Batch=1019, step=2220, lr=0.191000, batch loss=0.355501, epoch loss=5.011969 Batch=1079, step=2280, lr=0.190750, batch loss=0.237096, epoch loss=5.249066 Batch=1139, step=2340, lr=0.190500, batch loss=0.282087, epoch loss=5.531153 Batch=1199, step=2400, lr=0.190250, batch loss=0.218490, epoch loss=5.749643 Epoch=1, step=2400, lr=0.190250, epoch loss=5.749643 Batch=59, step=2460, lr=0.190000, batch loss=0.230366, epoch loss=0.230366 Batch=119, step=2520, lr=0.189750, batch loss=0.188721, epoch loss=0.419087 Batch=179, step=2580, lr=0.189500, batch loss=0.220992, epoch loss=0.640080 Batch=239, step=2640, lr=0.189250, batch loss=0.335059, epoch loss=0.975138 Batch=299, step=2700, lr=0.189000, batch loss=0.215251, epoch loss=1.190390 Batch=359, step=2760, lr=0.188500, batch loss=0.298966, epoch loss=1.489356 Batch=419, step=2820, lr=0.188500, batch loss=0.287067, epoch loss=1.776423 Batch=479, step=2880, lr=0.188250, batch loss=0.261263, epoch loss=2.037685 Batch=539, step=2940, lr=0.188000, batch loss=0.196766, epoch loss=2.234451 Batch=599, step=3000, lr=0.187750, batch loss=0.239101, epoch loss=2.473552 Batch=659, step=3060, lr=0.187500, batch loss=0.346441, epoch loss=2.819993 Batch=719, step=3120, lr=0.187250, batch loss=0.349298, epoch loss=3.169291 Batch=779, step=3180, lr=0.186750, batch loss=0.363549, epoch loss=3.532839 Batch=839, step=3240, lr=0.186750, batch loss=0.325904, epoch loss=3.858744 Batch=899, step=3300, lr=0.186500, batch loss=0.295177, epoch loss=4.153921 Batch=959, step=3360, lr=0.186250, batch loss=0.231043, epoch loss=4.384964 Batch=1019, step=3420, lr=0.186000, batch loss=0.342050, epoch loss=4.727015 Batch=1079, step=3480, lr=0.185750, batch loss=0.188653, epoch loss=4.915668 Batch=1139, step=3540, lr=0.185250, batch loss=0.232545, epoch loss=5.148213 Batch=1199, step=3600, lr=0.185250, batch loss=0.199158, epoch loss=5.347371 Epoch=2, step=3600, lr=0.185250, epoch loss=5.347371 Batch=59, step=3660, lr=0.185000, batch loss=0.231475, epoch loss=0.231475 Batch=119, step=3720, lr=0.184500, batch loss=0.196898, epoch loss=0.428373 Batch=179, step=3780, lr=0.184500, batch loss=0.212976, epoch loss=0.641349 Batch=239, step=3840, lr=0.184250, batch loss=0.319342, epoch loss=0.960691 Batch=299, step=3900, lr=0.183750, batch loss=0.207216, epoch loss=1.167907 Batch=359, step=3960, lr=0.183500, batch loss=0.286826, epoch loss=1.454733 Batch=419, step=4020, lr=0.183250, batch loss=0.274745, epoch loss=1.729478 Batch=479, step=4080, lr=0.183000, batch loss=0.257201, epoch loss=1.986679 Batch=539, step=4140, lr=0.182750, batch loss=0.197440, epoch loss=2.184119 Batch=599, step=4200, lr=0.182750, batch loss=0.238735, epoch loss=2.422854 Batch=659, step=4260, lr=0.182500, batch loss=0.330054, epoch loss=2.752908 Batch=719, step=4320, lr=0.182250, batch loss=0.328687, epoch loss=3.081595 Batch=779, step=4380, lr=0.182000, batch loss=0.351134, epoch loss=3.432729 Batch=839, step=4440, lr=0.181750, batch loss=0.319240, epoch loss=3.751968 Batch=899, step=4500, lr=0.181500, batch loss=0.291437, epoch loss=4.043405 Batch=959, step=4560, lr=0.181250, batch loss=0.241015, epoch loss=4.284420 Batch=1019, step=4620, lr=0.181000, batch loss=0.340057, epoch loss=4.624477 Batch=1079, step=4680, lr=0.180750, batch loss=0.198429, epoch loss=4.822905 Batch=1139, step=4740, lr=0.180500, batch loss=0.228382, epoch loss=5.051287 Batch=1199, step=4800, lr=0.180000, batch loss=0.192079, epoch loss=5.243366 Epoch=3, step=4800, lr=0.180000, epoch loss=5.243366 Batch=59, step=4860, lr=0.180000, batch loss=0.229817, epoch loss=0.229817 Batch=119, step=4920, lr=0.179750, batch loss=0.188595, epoch loss=0.418412 Batch=179, step=4980, lr=0.179500, batch loss=0.205878, epoch loss=0.624289 Batch=239, step=5040, lr=0.179250, batch loss=0.307707, epoch loss=0.931996 Batch=299, step=5100, lr=0.179000, batch loss=0.208623, epoch loss=1.140619 Batch=359, step=5160, lr=0.178750, batch loss=0.274423, epoch loss=1.415042 Batch=419, step=5220, lr=0.178500, batch loss=0.266338, epoch loss=1.681379 Batch=479, step=5280, lr=0.178250, batch loss=0.241050, epoch loss=1.922429 Batch=539, step=5340, lr=0.178000, batch loss=0.189866, epoch loss=2.112296 Batch=599, step=5400, lr=0.177500, batch loss=0.231233, epoch loss=2.343529 Batch=659, step=5460, lr=0.177500, batch loss=0.324245, epoch loss=2.667774 Batch=719, step=5520, lr=0.177250, batch loss=0.325535, epoch loss=2.993309 Batch=779, step=5580, lr=0.177000, batch loss=0.339473, epoch loss=3.332782 Batch=839, step=5640, lr=0.176500, batch loss=0.313036, epoch loss=3.645818 Batch=899, step=5700, lr=0.176250, batch loss=0.276423, epoch loss=3.922241 Batch=959, step=5760, lr=0.176000, batch loss=0.209790, epoch loss=4.132032 Batch=1019, step=5820, lr=0.176000, batch loss=0.337963, epoch loss=4.469995 Batch=1079, step=5880, lr=0.175500, batch loss=0.191396, epoch loss=4.661391 Batch=1139, step=5940, lr=0.175500, batch loss=0.219878, epoch loss=4.881269 Batch=1199, step=6000, lr=0.175250, batch loss=0.190166, epoch loss=5.071435 Epoch=4, step=6000, lr=0.175250, epoch loss=5.071435 Batch=59, step=6060, lr=0.175000, batch loss=0.234250, epoch loss=0.234250 Batch=119, step=6120, lr=0.174750, batch loss=0.190816, epoch loss=0.425066 Batch=179, step=6180, lr=0.174250, batch loss=0.200947, epoch loss=0.626013 Batch=239, step=6240, lr=0.174000, batch loss=0.300531, epoch loss=0.926544 Batch=299, step=6300, lr=0.174000, batch loss=0.205213, epoch loss=1.131757 Batch=359, step=6360, lr=0.173750, batch loss=0.268123, epoch loss=1.399880 Batch=419, step=6420, lr=0.173500, batch loss=0.266315, epoch loss=1.666195 Batch=479, step=6480, lr=0.173250, batch loss=0.242813, epoch loss=1.909008 Batch=539, step=6540, lr=0.173000, batch loss=0.193870, epoch loss=2.102877 Batch=599, step=6600, lr=0.172750, batch loss=0.234248, epoch loss=2.337126 Batch=659, step=6660, lr=0.172500, batch loss=0.313184, epoch loss=2.650310 Batch=719, step=6720, lr=0.172250, batch loss=0.318126, epoch loss=2.968436 Batch=779, step=6780, lr=0.171750, batch loss=0.336604, epoch loss=3.305040 Batch=839, step=6840, lr=0.171750, batch loss=0.302124, epoch loss=3.607164 Batch=899, step=6900, lr=0.171500, batch loss=0.269504, epoch loss=3.876669 Batch=959, step=6960, lr=0.171000, batch loss=0.206425, epoch loss=4.083093 Batch=1019, step=7020, lr=0.171000, batch loss=0.330980, epoch loss=4.414073 Batch=1079, step=7080, lr=0.170750, batch loss=0.179607, epoch loss=4.593680 Batch=1139, step=7140, lr=0.170500, batch loss=0.214157, epoch loss=4.807837 Batch=1199, step=7200, lr=0.170250, batch loss=0.184020, epoch loss=4.991857 Epoch=5, step=7200, lr=0.170250, epoch loss=4.991857 Batch=59, step=7260, lr=0.170000, batch loss=0.238523, epoch loss=0.238523 Batch=119, step=7320, lr=0.169750, batch loss=0.180329, epoch loss=0.418852 Batch=179, step=7380, lr=0.169500, batch loss=0.194959, epoch loss=0.613811 Batch=239, step=7440, lr=0.169250, batch loss=0.289512, epoch loss=0.903322 Batch=299, step=7500, lr=0.169000, batch loss=0.199192, epoch loss=1.102514 Batch=359, step=7560, lr=0.168750, batch loss=0.253876, epoch loss=1.356390 Batch=419, step=7620, lr=0.168500, batch loss=0.249711, epoch loss=1.606101 Batch=479, step=7680, lr=0.168250, batch loss=0.224450, epoch loss=1.830551 Batch=539, step=7740, lr=0.168000, batch loss=0.185013, epoch loss=2.015563 Batch=599, step=7800, lr=0.167750, batch loss=0.218139, epoch loss=2.233702 Batch=659, step=7860, lr=0.167500, batch loss=0.306521, epoch loss=2.540223 Batch=719, step=7920, lr=0.167250, batch loss=0.303717, epoch loss=2.843940 Batch=779, step=7980, lr=0.167000, batch loss=0.323018, epoch loss=3.166957 Batch=839, step=8040, lr=0.166750, batch loss=0.293648, epoch loss=3.460605 Batch=899, step=8100, lr=0.166500, batch loss=0.261224, epoch loss=3.721830 Batch=959, step=8160, lr=0.166250, batch loss=0.201388, epoch loss=3.923218 Batch=1019, step=8220, lr=0.166000, batch loss=0.327523, epoch loss=4.250741 Batch=1079, step=8280, lr=0.165750, batch loss=0.199075, epoch loss=4.449816 Batch=1139, step=8340, lr=0.165500, batch loss=0.220107, epoch loss=4.669924 Batch=1199, step=8400, lr=0.165250, batch loss=0.174761, epoch loss=4.844685 Epoch=6, step=8400, lr=0.165250, epoch loss=4.844685 Batch=59, step=8460, lr=0.165000, batch loss=0.206109, epoch loss=0.206109 Batch=119, step=8520, lr=0.164750, batch loss=0.175278, epoch loss=0.381386 Batch=179, step=8580, lr=0.164500, batch loss=0.187779, epoch loss=0.569165 Batch=239, step=8640, lr=0.164250, batch loss=0.275952, epoch loss=0.845117 Batch=299, step=8700, lr=0.164000, batch loss=0.184659, epoch loss=1.029776 Batch=359, step=8760, lr=0.163750, batch loss=0.244196, epoch loss=1.273972 Batch=419, step=8820, lr=0.163500, batch loss=0.238134, epoch loss=1.512106 Batch=479, step=8880, lr=0.163250, batch loss=0.213322, epoch loss=1.725427 Batch=539, step=8940, lr=0.163000, batch loss=0.178182, epoch loss=1.903609 Batch=599, step=9000, lr=0.162750, batch loss=0.218081, epoch loss=2.121690 Batch=659, step=9060, lr=0.162500, batch loss=0.293041, epoch loss=2.414731 Batch=719, step=9120, lr=0.162250, batch loss=0.294347, epoch loss=2.709078 Batch=779, step=9180, lr=0.162000, batch loss=0.314843, epoch loss=3.023921 Batch=839, step=9240, lr=0.161750, batch loss=0.286580, epoch loss=3.310501 Batch=899, step=9300, lr=0.161500, batch loss=0.251369, epoch loss=3.561870 Batch=959, step=9360, lr=0.161250, batch loss=0.190441, epoch loss=3.752311 Batch=1019, step=9420, lr=0.161000, batch loss=0.316397, epoch loss=4.068707 Batch=1079, step=9480, lr=0.160750, batch loss=0.201300, epoch loss=4.270008 Batch=1139, step=9540, lr=0.160500, batch loss=0.211184, epoch loss=4.481191 Batch=1199, step=9600, lr=0.160250, batch loss=0.167491, epoch loss=4.648683 Epoch=7, step=9600, lr=0.160250, epoch loss=4.648683 Batch=59, step=9660, lr=0.160000, batch loss=0.200551, epoch loss=0.200551 Batch=119, step=9720, lr=0.159750, batch loss=0.164912, epoch loss=0.365463 Batch=179, step=9780, lr=0.159500, batch loss=0.178022, epoch loss=0.543485 Batch=239, step=9840, lr=0.159250, batch loss=0.262513, epoch loss=0.805999 Batch=299, step=9900, lr=0.159000, batch loss=0.181444, epoch loss=0.987443 Batch=359, step=9960, lr=0.158750, batch loss=0.241469, epoch loss=1.228911 Batch=419, step=10020, lr=0.158500, batch loss=0.233045, epoch loss=1.461957 Batch=479, step=10080, lr=0.158250, batch loss=0.213299, epoch loss=1.675256 Batch=539, step=10140, lr=0.158000, batch loss=0.171895, epoch loss=1.847151 Batch=599, step=10200, lr=0.157750, batch loss=0.201595, epoch loss=2.048746 Batch=659, step=10260, lr=0.157500, batch loss=0.281348, epoch loss=2.330094 Batch=719, step=10320, lr=0.157250, batch loss=0.285377, epoch loss=2.615472 Batch=779, step=10380, lr=0.157000, batch loss=0.295715, epoch loss=2.911187 Batch=839, step=10440, lr=0.156750, batch loss=0.266351, epoch loss=3.177538 Batch=899, step=10500, lr=0.156500, batch loss=0.237318, epoch loss=3.414856 Batch=959, step=10560, lr=0.156000, batch loss=0.179050, epoch loss=3.593906 Batch=1019, step=10620, lr=0.156000, batch loss=0.299303, epoch loss=3.893209 Batch=1079, step=10680, lr=0.155750, batch loss=0.175352, epoch loss=4.068561 Batch=1139, step=10740, lr=0.155500, batch loss=0.199812, epoch loss=4.268373 Batch=1199, step=10800, lr=0.155250, batch loss=0.155210, epoch loss=4.423583 Epoch=8, step=10800, lr=0.155250, epoch loss=4.423583 Batch=59, step=10860, lr=0.155000, batch loss=0.177359, epoch loss=0.177359 Batch=119, step=10920, lr=0.154750, batch loss=0.152914, epoch loss=0.330273 Batch=179, step=10980, lr=0.154500, batch loss=0.167663, epoch loss=0.497936 Batch=239, step=11040, lr=0.154250, batch loss=0.252419, epoch loss=0.750355 Batch=299, step=11100, lr=0.154000, batch loss=0.162587, epoch loss=0.912942 Batch=359, step=11160, lr=0.153500, batch loss=0.226998, epoch loss=1.139940 Batch=419, step=11220, lr=0.153500, batch loss=0.226751, epoch loss=1.366691 Batch=479, step=11280, lr=0.153250, batch loss=0.204336, epoch loss=1.571027 Batch=539, step=11340, lr=0.153000, batch loss=0.158011, epoch loss=1.729038 Batch=599, step=11400, lr=0.152750, batch loss=0.181204, epoch loss=1.910242 Batch=659, step=11460, lr=0.152250, batch loss=0.262899, epoch loss=2.173141 Batch=719, step=11520, lr=0.152000, batch loss=0.256425, epoch loss=2.429566 Batch=779, step=11580, lr=0.152000, batch loss=0.271629, epoch loss=2.701195 Batch=839, step=11640, lr=0.151750, batch loss=0.256466, epoch loss=2.957661 Batch=899, step=11700, lr=0.151500, batch loss=0.217579, epoch loss=3.175241 Batch=959, step=11760, lr=0.151250, batch loss=0.173484, epoch loss=3.348725 Batch=1019, step=11820, lr=0.151000, batch loss=0.260130, epoch loss=3.608855 Batch=1079, step=11880, lr=0.150750, batch loss=0.140082, epoch loss=3.748936 Batch=1139, step=11940, lr=0.150500, batch loss=0.173722, epoch loss=3.922658 Batch=1199, step=12000, lr=0.150250, batch loss=0.141873, epoch loss=4.064531 Epoch=9, step=12000, lr=0.150250, epoch loss=4.064531 Batch=59, step=12060, lr=0.150000, batch loss=0.174650, epoch loss=0.174650 Batch=119, step=12120, lr=0.149750, batch loss=0.148354, epoch loss=0.323004 Batch=179, step=12180, lr=0.149250, batch loss=0.151603, epoch loss=0.474607 Batch=239, step=12240, lr=0.149250, batch loss=0.221107, epoch loss=0.695715 Batch=299, step=12300, lr=0.148750, batch loss=0.138602, epoch loss=0.834317 Batch=359, step=12360, lr=0.148750, batch loss=0.198882, epoch loss=1.033199 Batch=419, step=12420, lr=0.148250, batch loss=0.208068, epoch loss=1.241267 Batch=479, step=12480, lr=0.148250, batch loss=0.177616, epoch loss=1.418883 Batch=539, step=12540, lr=0.148000, batch loss=0.143903, epoch loss=1.562785 Batch=599, step=12600, lr=0.147500, batch loss=0.148448, epoch loss=1.711233 Batch=659, step=12660, lr=0.147250, batch loss=0.222557, epoch loss=1.933790 Batch=719, step=12720, lr=0.147250, batch loss=0.230652, epoch loss=2.164441 Batch=779, step=12780, lr=0.147000, batch loss=0.235778, epoch loss=2.400219 Batch=839, step=12840, lr=0.146750, batch loss=0.232887, epoch loss=2.633106 Batch=899, step=12900, lr=0.146250, batch loss=0.220776, epoch loss=2.853882 Batch=959, step=12960, lr=0.146000, batch loss=0.153183, epoch loss=3.007065 Batch=1019, step=13020, lr=0.145750, batch loss=0.261430, epoch loss=3.268496 Batch=1079, step=13080, lr=0.145500, batch loss=0.113545, epoch loss=3.382041 Batch=1139, step=13140, lr=0.145250, batch loss=0.156175, epoch loss=3.538216 Batch=1199, step=13200, lr=0.145250, batch loss=0.119197, epoch loss=3.657413 Epoch=10, step=13200, lr=0.145250, epoch loss=3.657413 Batch=59, step=13260, lr=0.145000, batch loss=0.143357, epoch loss=0.143357 Batch=119, step=13320, lr=0.144750, batch loss=0.119634, epoch loss=0.262991 Batch=179, step=13380, lr=0.144500, batch loss=0.128698, epoch loss=0.391689 Batch=239, step=13440, lr=0.144000, batch loss=0.187838, epoch loss=0.579527 Batch=299, step=13500, lr=0.144000, batch loss=0.114891, epoch loss=0.694417 Batch=359, step=13560, lr=0.143750, batch loss=0.161027, epoch loss=0.855444 Batch=419, step=13620, lr=0.143500, batch loss=0.161225, epoch loss=1.016669 Batch=479, step=13680, lr=0.143250, batch loss=0.146232, epoch loss=1.162901 Batch=539, step=13740, lr=0.143000, batch loss=0.118737, epoch loss=1.281637 Batch=599, step=13800, lr=0.142500, batch loss=0.120643, epoch loss=1.402281 Batch=659, step=13860, lr=0.142250, batch loss=0.176146, epoch loss=1.578427 Batch=719, step=13920, lr=0.142250, batch loss=0.178942, epoch loss=1.757369 Batch=779, step=13980, lr=0.142000, batch loss=0.196804, epoch loss=1.954172 Batch=839, step=14040, lr=0.141750, batch loss=0.188041, epoch loss=2.142213 Batch=899, step=14100, lr=0.141500, batch loss=0.157394, epoch loss=2.299607 Batch=959, step=14160, lr=0.141250, batch loss=0.136123, epoch loss=2.435731 Batch=1019, step=14220, lr=0.141000, batch loss=0.288862, epoch loss=2.724593 Batch=1079, step=14280, lr=0.140750, batch loss=0.084950, epoch loss=2.809544 Batch=1139, step=14340, lr=0.140250, batch loss=0.133412, epoch loss=2.942956 Batch=1199, step=14400, lr=0.140000, batch loss=0.095241, epoch loss=3.038197 Epoch=11, step=14400, lr=0.140000, epoch loss=3.038197 Batch=59, step=14460, lr=0.139750, batch loss=0.115037, epoch loss=0.115037 Batch=119, step=14520, lr=0.139500, batch loss=0.108232, epoch loss=0.223269 Batch=179, step=14580, lr=0.139500, batch loss=0.105677, epoch loss=0.328946 Batch=239, step=14640, lr=0.139250, batch loss=0.139482, epoch loss=0.468428 Batch=299, step=14700, lr=0.138750, batch loss=0.082672, epoch loss=0.551100 Batch=359, step=14760, lr=0.138750, batch loss=0.129524, epoch loss=0.680624 Batch=419, step=14820, lr=0.138250, batch loss=0.140005, epoch loss=0.820629 Batch=479, step=14880, lr=0.138250, batch loss=0.091670, epoch loss=0.912299 Batch=539, step=14940, lr=0.138000, batch loss=0.089208, epoch loss=1.001508 Batch=599, step=15000, lr=0.137750, batch loss=0.085526, epoch loss=1.087034 Batch=659, step=15060, lr=0.137500, batch loss=0.137779, epoch loss=1.224813 Batch=719, step=15120, lr=0.137250, batch loss=0.174011, epoch loss=1.398823 Batch=779, step=15180, lr=0.137000, batch loss=0.324749, epoch loss=1.723573 Batch=839, step=15240, lr=0.136750, batch loss=0.135903, epoch loss=1.859476 Batch=899, step=15300, lr=0.136500, batch loss=0.111476, epoch loss=1.970952 Batch=959, step=15360, lr=0.136250, batch loss=0.101452, epoch loss=2.072404 Batch=1019, step=15420, lr=0.136000, batch loss=0.165397, epoch loss=2.237801 Batch=1079, step=15480, lr=0.135750, batch loss=0.041442, epoch loss=2.279242 Batch=1139, step=15540, lr=0.135250, batch loss=0.093866, epoch loss=2.373108 Batch=1199, step=15600, lr=0.135250, batch loss=0.059561, epoch loss=2.432669 Epoch=12, step=15600, lr=0.135250, epoch loss=2.432669 Batch=59, step=15660, lr=0.135000, batch loss=0.076747, epoch loss=0.076747 Batch=119, step=15720, lr=0.134750, batch loss=0.106001, epoch loss=0.182748 Batch=179, step=15780, lr=0.134500, batch loss=0.088408, epoch loss=0.271156 Batch=239, step=15840, lr=0.134250, batch loss=0.093964, epoch loss=0.365120 Batch=299, step=15900, lr=0.133750, batch loss=0.036018, epoch loss=0.401138 Batch=359, step=15960, lr=0.133750, batch loss=0.073311, epoch loss=0.474448 Batch=419, step=16020, lr=0.133500, batch loss=0.076718, epoch loss=0.551166 Batch=479, step=16080, lr=0.133250, batch loss=0.046040, epoch loss=0.597206 Batch=539, step=16140, lr=0.133000, batch loss=0.049489, epoch loss=0.646695 Batch=599, step=16200, lr=0.132750, batch loss=0.077777, epoch loss=0.724472 Batch=659, step=16260, lr=0.132250, batch loss=0.235213, epoch loss=0.959685 Batch=719, step=16320, lr=0.132250, batch loss=0.072938, epoch loss=1.032623 Batch=779, step=16380, lr=0.132000, batch loss=0.078215, epoch loss=1.110838 Batch=839, step=16440, lr=0.131750, batch loss=0.124480, epoch loss=1.235319 Batch=899, step=16500, lr=0.131500, batch loss=0.150216, epoch loss=1.385534 Batch=959, step=16560, lr=0.131250, batch loss=0.048718, epoch loss=1.434252 Batch=1019, step=16620, lr=0.131000, batch loss=0.131577, epoch loss=1.565829 Batch=1079, step=16680, lr=0.130750, batch loss=0.021536, epoch loss=1.587365 Batch=1139, step=16740, lr=0.130500, batch loss=0.046382, epoch loss=1.633748 Batch=1199, step=16800, lr=0.130250, batch loss=0.026382, epoch loss=1.660130 Epoch=13, step=16800, lr=0.130250, epoch loss=1.660130 Batch=59, step=16860, lr=0.130000, batch loss=0.038255, epoch loss=0.038255 Batch=119, step=16920, lr=0.129750, batch loss=0.065791, epoch loss=0.104046 Batch=179, step=16980, lr=0.129500, batch loss=0.053167, epoch loss=0.157213 Batch=239, step=17040, lr=0.129250, batch loss=0.063764, epoch loss=0.220977 Batch=299, step=17100, lr=0.129000, batch loss=0.029326, epoch loss=0.250304 Batch=359, step=17160, lr=0.128750, batch loss=0.047415, epoch loss=0.297718 Batch=419, step=17220, lr=0.128500, batch loss=0.048657, epoch loss=0.346376 Batch=479, step=17280, lr=0.128250, batch loss=0.028885, epoch loss=0.375261 Batch=539, step=17340, lr=0.128000, batch loss=0.057397, epoch loss=0.432657 Batch=599, step=17400, lr=0.127750, batch loss=0.035436, epoch loss=0.468093 Batch=659, step=17460, lr=0.127500, batch loss=0.048247, epoch loss=0.516341 Batch=719, step=17520, lr=0.127250, batch loss=0.044969, epoch loss=0.561310 Batch=779, step=17580, lr=0.127000, batch loss=0.078956, epoch loss=0.640265 Batch=839, step=17640, lr=0.126750, batch loss=0.175941, epoch loss=0.816206 Batch=899, step=17700, lr=0.126500, batch loss=0.059909, epoch loss=0.876115 Batch=959, step=17760, lr=0.126250, batch loss=0.021326, epoch loss=0.897441 Batch=1019, step=17820, lr=0.126000, batch loss=0.032484, epoch loss=0.929926 Batch=1079, step=17880, lr=0.125750, batch loss=0.012434, epoch loss=0.942359 Batch=1139, step=17940, lr=0.125500, batch loss=0.033607, epoch loss=0.975967 Batch=1199, step=18000, lr=0.125250, batch loss=0.014450, epoch loss=0.990417 Epoch=14, step=18000, lr=0.125250, epoch loss=0.990417 Batch=59, step=18060, lr=0.125000, batch loss=0.012182, epoch loss=0.012182 Batch=119, step=18120, lr=0.124750, batch loss=0.020520, epoch loss=0.032702 Batch=179, step=18180, lr=0.124500, batch loss=0.046749, epoch loss=0.079451 Batch=239, step=18240, lr=0.124250, batch loss=0.036405, epoch loss=0.115856 Batch=299, step=18300, lr=0.124000, batch loss=0.011546, epoch loss=0.127402 Batch=359, step=18360, lr=0.123750, batch loss=0.024256, epoch loss=0.151658 Batch=419, step=18420, lr=0.123500, batch loss=0.031178, epoch loss=0.182836 Batch=479, step=18480, lr=0.123250, batch loss=0.033495, epoch loss=0.216331 Batch=539, step=18540, lr=0.123000, batch loss=0.055238, epoch loss=0.271569 Batch=599, step=18600, lr=0.122750, batch loss=0.027328, epoch loss=0.298897 Batch=659, step=18660, lr=0.122500, batch loss=0.032432, epoch loss=0.331329 Batch=719, step=18720, lr=0.122250, batch loss=0.041459, epoch loss=0.372787 Batch=779, step=18780, lr=0.122000, batch loss=0.103310, epoch loss=0.476098 Batch=839, step=18840, lr=0.121750, batch loss=0.056842, epoch loss=0.532940 Batch=899, step=18900, lr=0.121500, batch loss=0.057731, epoch loss=0.590671 Batch=959, step=18960, lr=0.121250, batch loss=0.013968, epoch loss=0.604639 Batch=1019, step=19020, lr=0.121000, batch loss=0.025534, epoch loss=0.630173 Batch=1079, step=19080, lr=0.120750, batch loss=0.014646, epoch loss=0.644819 Batch=1139, step=19140, lr=0.120500, batch loss=0.030642, epoch loss=0.675461 Batch=1199, step=19200, lr=0.120250, batch loss=0.012625, epoch loss=0.688086 Epoch=15, step=19200, lr=0.120250, epoch loss=0.688086 Batch=59, step=19260, lr=0.120000, batch loss=0.011173, epoch loss=0.011173 Batch=119, step=19320, lr=0.119750, batch loss=0.022789, epoch loss=0.033962 Batch=179, step=19380, lr=0.119500, batch loss=0.051211, epoch loss=0.085174 Batch=239, step=19440, lr=0.119250, batch loss=0.023436, epoch loss=0.108610 Batch=299, step=19500, lr=0.119000, batch loss=0.015751, epoch loss=0.124360 Batch=359, step=19560, lr=0.118750, batch loss=0.033271, epoch loss=0.157631 Batch=419, step=19620, lr=0.118500, batch loss=0.020430, epoch loss=0.178061 Batch=479, step=19680, lr=0.118250, batch loss=0.007600, epoch loss=0.185661 Batch=539, step=19740, lr=0.118000, batch loss=0.018190, epoch loss=0.203851 Batch=599, step=19800, lr=0.117750, batch loss=0.021967, epoch loss=0.225818 Batch=659, step=19860, lr=0.117500, batch loss=0.019206, epoch loss=0.245024 Batch=719, step=19920, lr=0.117000, batch loss=0.035601, epoch loss=0.280625 Batch=779, step=19980, lr=0.116750, batch loss=0.080348, epoch loss=0.360973 Batch=839, step=20040, lr=0.116500, batch loss=0.031029, epoch loss=0.392003 Batch=899, step=20100, lr=0.116250, batch loss=0.030745, epoch loss=0.422748 Batch=959, step=20160, lr=0.116250, batch loss=0.011197, epoch loss=0.433944 Batch=1019, step=20220, lr=0.116000, batch loss=0.017048, epoch loss=0.450992 Batch=1079, step=20280, lr=0.115500, batch loss=0.003144, epoch loss=0.454136 Batch=1139, step=20340, lr=0.115250, batch loss=0.015524, epoch loss=0.469660 Batch=1199, step=20400, lr=0.115250, batch loss=0.006082, epoch loss=0.475743 Epoch=16, step=20400, lr=0.115250, epoch loss=0.475743 Batch=59, step=20460, lr=0.114750, batch loss=0.002815, epoch loss=0.002815 Batch=119, step=20520, lr=0.114500, batch loss=0.008271, epoch loss=0.011086 Batch=179, step=20580, lr=0.114500, batch loss=0.015160, epoch loss=0.026246 Batch=239, step=20640, lr=0.114250, batch loss=0.015272, epoch loss=0.041518 Batch=299, step=20700, lr=0.114000, batch loss=0.004737, epoch loss=0.046255 Batch=359, step=20760, lr=0.113750, batch loss=0.014061, epoch loss=0.060317 Batch=419, step=20820, lr=0.113500, batch loss=0.014475, epoch loss=0.074791 Batch=479, step=20880, lr=0.113000, batch loss=0.004113, epoch loss=0.078904 Batch=539, step=20940, lr=0.112750, batch loss=0.017444, epoch loss=0.096348 Batch=599, step=21000, lr=0.112500, batch loss=0.021024, epoch loss=0.117372 Batch=659, step=21060, lr=0.112500, batch loss=0.014083, epoch loss=0.131455 Batch=719, step=21120, lr=0.112000, batch loss=0.039837, epoch loss=0.171292 Batch=779, step=21180, lr=0.112000, batch loss=0.068729, epoch loss=0.240021 Batch=839, step=21240, lr=0.111750, batch loss=0.025483, epoch loss=0.265504 Batch=899, step=21300, lr=0.111500, batch loss=0.035923, epoch loss=0.301427 Batch=959, step=21360, lr=0.111000, batch loss=0.010848, epoch loss=0.312275 Batch=1019, step=21420, lr=0.110750, batch loss=0.011481, epoch loss=0.323756 Batch=1079, step=21480, lr=0.110750, batch loss=0.000632, epoch loss=0.324387 Batch=1139, step=21540, lr=0.110250, batch loss=0.013682, epoch loss=0.338069 Batch=1199, step=21600, lr=0.110250, batch loss=0.005314, epoch loss=0.343383 Epoch=17, step=21600, lr=0.110250, epoch loss=0.343383 Batch=59, step=21660, lr=0.110000, batch loss=0.002613, epoch loss=0.002613 Batch=119, step=21720, lr=0.109750, batch loss=0.006638, epoch loss=0.009251 Batch=179, step=21780, lr=0.109500, batch loss=0.012669, epoch loss=0.021920 Batch=239, step=21840, lr=0.109250, batch loss=0.009562, epoch loss=0.031482 Batch=299, step=21900, lr=0.109000, batch loss=0.002279, epoch loss=0.033761 Batch=359, step=21960, lr=0.108750, batch loss=0.016801, epoch loss=0.050562 Batch=419, step=22020, lr=0.108500, batch loss=0.012193, epoch loss=0.062755 Batch=479, step=22080, lr=0.108250, batch loss=0.002761, epoch loss=0.065517 Batch=539, step=22140, lr=0.108000, batch loss=0.018258, epoch loss=0.083774 Batch=599, step=22200, lr=0.107750, batch loss=0.017042, epoch loss=0.100817 Batch=659, step=22260, lr=0.107500, batch loss=0.013921, epoch loss=0.114738 Batch=719, step=22320, lr=0.107250, batch loss=0.026199, epoch loss=0.140937 Batch=779, step=22380, lr=0.107000, batch loss=0.041619, epoch loss=0.182555 Batch=839, step=22440, lr=0.106750, batch loss=0.021396, epoch loss=0.203952 Batch=899, step=22500, lr=0.106500, batch loss=0.021254, epoch loss=0.225206 Batch=959, step=22560, lr=0.106250, batch loss=0.010477, epoch loss=0.235682 Batch=1019, step=22620, lr=0.106000, batch loss=0.009570, epoch loss=0.245253 Batch=1079, step=22680, lr=0.105750, batch loss=0.000518, epoch loss=0.245771 Batch=1139, step=22740, lr=0.105500, batch loss=0.011336, epoch loss=0.257107 Batch=1199, step=22800, lr=0.105250, batch loss=0.004220, epoch loss=0.261327 Epoch=18, step=22800, lr=0.105250, epoch loss=0.261327 Batch=59, step=22860, lr=0.104750, batch loss=0.001435, epoch loss=0.001435 Batch=119, step=22920, lr=0.104750, batch loss=0.005450, epoch loss=0.006885 Batch=179, step=22980, lr=0.104500, batch loss=0.010680, epoch loss=0.017565 Batch=239, step=23040, lr=0.104250, batch loss=0.009057, epoch loss=0.026622 Batch=299, step=23100, lr=0.104000, batch loss=0.007918, epoch loss=0.034540 Batch=359, step=23160, lr=0.103750, batch loss=0.011337, epoch loss=0.045878 Batch=419, step=23220, lr=0.103500, batch loss=0.010065, epoch loss=0.055943 Batch=479, step=23280, lr=0.103250, batch loss=0.002426, epoch loss=0.058369 Batch=539, step=23340, lr=0.103000, batch loss=0.017299, epoch loss=0.075669 Batch=599, step=23400, lr=0.102750, batch loss=0.013442, epoch loss=0.089111 Batch=659, step=23460, lr=0.102500, batch loss=0.011494, epoch loss=0.100605 Batch=719, step=23520, lr=0.102000, batch loss=0.009376, epoch loss=0.109981 Batch=779, step=23580, lr=0.102000, batch loss=0.010281, epoch loss=0.120262 Batch=839, step=23640, lr=0.101500, batch loss=0.018320, epoch loss=0.138582 Batch=899, step=23700, lr=0.101500, batch loss=0.020185, epoch loss=0.158768 Batch=959, step=23760, lr=0.101250, batch loss=0.008518, epoch loss=0.167286 Batch=1019, step=23820, lr=0.100750, batch loss=0.009621, epoch loss=0.176907 Batch=1079, step=23880, lr=0.100500, batch loss=0.000825, epoch loss=0.177731 Batch=1139, step=23940, lr=0.100250, batch loss=0.008460, epoch loss=0.186191 Batch=1199, step=24000, lr=0.100250, batch loss=0.004220, epoch loss=0.190412 Epoch=19, step=24000, lr=0.100250, epoch loss=0.190412 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 2025-05-22 20:06.28: Job failed: Failed: Build failed