2025-05-10 16:28.34: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8c5145c5ac79b93fef04f870a87a2336b8aea7fc) (linux-x86_64:ubuntu-24.04-5.3_opam-2.3) Base: ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0 Opam project build To reproduce locally: git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 8c5145c5 cat > Dockerfile <<'END-OF-DOCKERFILE' FROM ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0 # ubuntu-24.04-5.3_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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 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.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0" ENV CI="true" ENV OCAMLCI="true" RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS RUN opam install $DEPS COPY --chown=1000:1000 . /src RUN opam exec -- dune build @install @check @runtest && rm -rf _build END-OF-DOCKERFILE docker build . END-REPRO-BLOCK 2025-05-10 16:28.34: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0-ubuntu-24.04-5.3_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc" 2025-05-10 16:28.34: Using OBuilder spec: ((from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0) (comment ubuntu-24.04-5.3_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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 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.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") (env CI true) (env OCAMLCI true) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam install $DEPS")) (copy (src .) (dst /src)) (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) ) 2025-05-10 16:28.34: Waiting for resource in pool OCluster 2025-05-10 16:28.35: Waiting for worker… 2025-05-10 16:28.35: Got resource from pool OCluster Building on doris.caelum.ci.dev All commits already cached HEAD is now at 8c5145c5 experiment: try a different runner (from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0) Unable to find image 'ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0' locally docker.io/ocaml/opam@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0: Pulling from ocaml/opam a3dd4a62b4f6: Pulling fs layer a3dd4a62b4f6: Verifying Checksum a3dd4a62b4f6: Download complete a3dd4a62b4f6: Pull complete Digest: sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0 Status: Downloaded newer image for ocaml/opam@sha256:b6ac059a3005d298c3948e374b5fba1871ea7c1979a96018feb417d440b27ef0 2025-05-10 16:28.36 ---> using "10c823be6d6df8b8b953a1da7016d5c0a852e2e87d76746b4c929b5ce9cf0ea7" from cache /: (comment ubuntu-24.04-5.3_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")) 2025-05-10 16:28.36 ---> using "7e4e95fbdd960f07cc45e7caadc95ccc19437cf1fa3ac4cf9ffe38fb71ba29a6" from cache /src: (run (shell "opam init --reinit -ni")) Configuring from /home/opam/.opamrc and then from built-in defaults. Checking for available remotes: rsync and local, git. - you won't be able to use mercurial repositories unless you install the hg command on your system. - you won't be able to use darcs repositories unless you install the darcs command on your system. This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted. You may want to back it up before going further. Continue? [y/n] y Format upgrade done. <><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><> [default] Initialised 2025-05-10 16:28.36 ---> using "165aa512348c81560d0d9826f796b98dc48f4c9a7c0b4e56e3102119a9192813" 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 2025-05-10 16:28.36 ---> using "df15c08d3bd246393f4369064e82160ecd55ec0511fc0edfa706fbdbbf9fc3b6" from cache /src: (workdir /src) /src: (run (shell "sudo chown opam /src")) 2025-05-10 16:28.36 ---> using "b48a5f00b86917e79b6c3f17793c62a1c228f36dd2ae72f3747baabaf72144bf" from cache /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u")) From https://github.com/ocaml/opam-repository * branch master -> FETCH_HEAD 35eb2f107a..0d013e603b master -> origin/master 997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2 <><> 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) 2025-05-10 16:28.36 ---> using "68398bf01b98bcc8bd90234dd2b8d93479b1f620e8c55e249154e1408adf6f7f" from cache /src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./)) 2025-05-10 16:28.36 ---> using "940deda9a3500cf64a4b1979a29a310397a4a303be3c33893e0be01fa91f6fcb" 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) 2025-05-10 16:28.36 ---> using "c5c38b73eb98dc9d07f3b7047e72b01c13a71122fcda9925b14ea1d07774fcec" from cache /src: (run (network host) (shell "echo '(lang dune 3.0)' > './dune-project'")) 2025-05-10 16:28.36 ---> using "62c8972694cabce1332ec62b454f1b677b7602bfc778ea52c16d17acaacdf0ba" from cache /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-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 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.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0") /src: (env CI true) /src: (env OCAMLCI true) /src: (run (cache (opam-archives (target /home/opam/.opam/download-cache))) (network host) (shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS")) + /usr/bin/sudo "apt-get" "update" - Get:1 http://security.ubuntu.com/ubuntu noble-security InRelease [126 kB] - Hit:2 http://archive.ubuntu.com/ubuntu noble InRelease - Get:3 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1081 kB] - Get:4 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB] - Get:5 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB] - Get:6 http://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [1033 kB] - Get:7 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [1318 kB] - Get:8 http://security.ubuntu.com/ubuntu noble-security/multiverse amd64 Packages [22.1 kB] - Get:9 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1380 kB] - Get:10 http://archive.ubuntu.com/ubuntu noble-updates/multiverse amd64 Packages [26.7 kB] - Get:11 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [1362 kB] - Get:12 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1354 kB] - Get:13 http://archive.ubuntu.com/ubuntu noble-backports/universe amd64 Packages [31.8 kB] - Fetched 7987 kB in 1s (12.2 MB/s) - Reading package lists... - <><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><> [arrayjit.dev] synchronised (file:///src) [neural_nets_lib.dev] synchronised (file:///src) [NOTE] Package ocaml-options-vanilla is already installed (current version is 1). [NOTE] Package ocaml-config is already installed (current version is 3). [NOTE] Package ocaml-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0). [NOTE] Package ocaml is already installed (current version is 5.3.0). [NOTE] Package base-unix is already installed (current version is base). [NOTE] Package base-threads is already installed (current version is base). [NOTE] Package base-nnp is already installed (current version is base). [NOTE] Package base-effects is already installed (current version is base). [NOTE] Package base-domains is already installed (current version is base). [NOTE] Package base-bigarray is already installed (current version is base). The following system packages will first need to be installed: libffi-dev pkg-config <><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><> + /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config" - debconf: delaying package configuration, since apt-utils is not installed - Selecting previously unselected package libpkgconf3:amd64. - (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 16365 files and directories currently installed.) - Preparing to unpack .../libpkgconf3_1.8.1-2build1_amd64.deb ... - Unpacking libpkgconf3:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkgconf-bin. - Preparing to unpack .../pkgconf-bin_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf-bin (1.8.1-2build1) ... - Selecting previously unselected package pkgconf:amd64. - Preparing to unpack .../pkgconf_1.8.1-2build1_amd64.deb ... - Unpacking pkgconf:amd64 (1.8.1-2build1) ... - Selecting previously unselected package pkg-config:amd64. - Preparing to unpack .../pkg-config_1.8.1-2build1_amd64.deb ... - Unpacking pkg-config:amd64 (1.8.1-2build1) ... - Selecting previously unselected package libffi-dev:amd64. - Preparing to unpack .../libffi-dev_3.4.6-1build1_amd64.deb ... - Unpacking libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libffi-dev:amd64 (3.4.6-1build1) ... - Setting up libpkgconf3:amd64 (1.8.1-2build1) ... - Setting up pkgconf-bin (1.8.1-2build1) ... - Setting up pkgconf:amd64 (1.8.1-2build1) ... - Setting up pkg-config:amd64 (1.8.1-2build1) ... - Processing triggers for libc-bin (2.39-0ubuntu8.4) ... 2025-05-10 16:28.36 ---> using "374deca1915bd9d3e7e1649b3dc99557643fc37237b15d83869f2fdf3e0f4859" 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 74 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 3.18.2 - install dune-configurator 3.18.2 - 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 ppx_assert v0.17.0 - install ppx_base v0.17.0 - install ppx_cold v0.17.0 - install ppx_compare v0.17.0 - install ppx_derivers 1.2.1 - install ppx_deriving 6.0.3 - install ppx_enumerate v0.17.0 - install ppx_expect v0.17.2 - install ppx_fields_conv v0.17.0 - install ppx_globalize v0.17.0 - install ppx_hash v0.17.0 - install ppx_here v0.17.0 - install ppx_inline_test v0.17.0 - install ppx_minidebug 2.2.0 - install ppx_optcomp v0.17.0 - install ppx_sexp_conv v0.17.0 - install ppx_string v0.17.0 - install ppx_variants_conv v0.17.0 - install ppxlib 0.35.0 - install ppxlib_jane v0.17.2 - install printbox 0.12 - install printbox-ext-plot 0.12 - install printbox-html 0.12 - install printbox-md 0.12 - install printbox-text 0.12 - install ptime 1.2.0 - install re 1.12.0 - install result 1.5 - install saturn_lockfree 0.5.0 - install seq base - install sexplib v0.17.0 - install sexplib0 v0.17.0 - install stdio v0.17.0 - install stdlib-shims 0.3.0 - install thread-local-storage 0.2 - install time_now v0.17.0 - install topkg 1.0.8 - install tyxml 4.6.0 - install uucp 16.0.0 - install uutf 1.0.4 - install variantslib v0.17.0 <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> -> retrieved backoff.0.1.1 (cached) -> retrieved angstrom.0.16.1 (cached) -> retrieved astring.0.8.5 (cached) -> retrieved base.v0.17.2 (cached) -> retrieved bigarray-compat.1.1.0 (cached) -> retrieved bigstringaf.0.10.0 (cached) -> retrieved camlp-streams.5.0.1 (cached) -> installed conf-pkg-config.4 -> retrieved cppo.1.8.0 (cached) -> retrieved cmdliner.1.3.0 (cached) -> retrieved csexp.1.5.2 (cached) -> installed conf-libffi.2.0.0 -> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached) -> 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 multicore-magic.2.3.1 (cached) -> retrieved mdx.2.5.0 (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 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 dune.3.18.2, dune-configurator.3.18.2 (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) -> installed cmdliner.1.3.0 -> installed num.1.5-1 -> retrieved ppx_inline_test.v0.17.0 (cached) -> retrieved ppx_minidebug.2.2.0 (cached) -> retrieved ppx_optcomp.v0.17.0 (cached) -> retrieved ppx_sexp_conv.v0.17.0 (cached) -> retrieved ppx_string.v0.17.0 (cached) -> retrieved ppx_variants_conv.v0.17.0 (cached) -> retrieved ppxlib_jane.v0.17.2 (cached) -> retrieved ptime.1.2.0 (cached) -> retrieved re.1.12.0 (cached) -> retrieved result.1.5 (cached) -> retrieved saturn_lockfree.0.5.0 (cached) -> retrieved seq.base (cached) -> installed seq.base -> retrieved sexplib.v0.17.0 (cached) -> retrieved ppxlib.0.35.0 (cached) -> retrieved sexplib0.v0.17.0 (cached) -> retrieved stdio.v0.17.0 (cached) -> retrieved stdlib-shims.0.3.0 (cached) -> retrieved thread-local-storage.0.2 (cached) -> retrieved time_now.v0.17.0 (cached) -> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached) -> retrieved topkg.1.0.8 (cached) -> retrieved tyxml.4.6.0 (cached) -> retrieved uutf.1.0.4 (cached) -> retrieved variantslib.v0.17.0 (cached) -> retrieved uucp.16.0.0 (cached) -> installed ocamlfind.1.9.8 -> installed ocamlbuild.0.16.1 -> installed topkg.1.0.8 -> installed uutf.1.0.4 -> installed mtime.2.1.0 -> installed fmt.0.10.0 -> installed ptime.1.2.0 -> installed astring.0.8.5 -> installed logs.0.8.0 -> installed dune.3.18.2 -> installed jane-street-headers.v0.17.0 -> installed ppx_derivers.1.2.1 -> installed csexp.1.5.2 -> installed backoff.0.1.1 -> installed bigarray-compat.1.1.0 -> installed camlp-streams.5.0.1 -> installed cppo.1.8.0 -> installed multicore-magic.2.3.1 -> installed ocaml-compiler-libs.v0.17.0 -> installed ocaml-syntax-shims.1.0.0 -> installed ocaml-version.4.0.0 -> installed ocaml_intrinsics_kernel.v0.17.1 -> installed printbox.0.12 -> installed re.1.12.0 -> installed result.1.5 -> installed sexplib0.v0.17.0 -> installed stdlib-shims.0.3.0 -> installed thread-local-storage.0.2 -> installed saturn_lockfree.0.5.0 -> installed integers.0.7.0 -> installed dune-configurator.3.18.2 -> installed parsexp.v0.17.0 -> installed bigstringaf.0.10.0 -> installed mdx.2.5.0 -> 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 base.v0.17.2 -> installed fieldslib.v0.17.0 -> installed variantslib.v0.17.0 -> installed stdio.v0.17.0 -> installed ctypes-foreign.0.23.0 -> installed uucp.16.0.0 -> installed printbox-text.0.12 -> installed printbox-md.0.12 -> installed printbox-ext-plot.0.12 -> installed ppxlib.0.35.0 -> installed ppxlib_jane.v0.17.2 -> 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_deriving.6.0.3 -> installed ppx_compare.v0.17.0 -> installed ppx_sexp_conv.v0.17.0 -> installed ppx_hash.v0.17.0 -> installed ppx_assert.v0.17.0 -> installed ppx_minidebug.2.2.0 -> installed ppx_base.v0.17.0 -> installed jst-config.v0.17.0 -> installed ppx_string.v0.17.0 -> installed time_now.v0.17.0 -> installed ppx_inline_test.v0.17.0 -> installed ppx_expect.v0.17.2 Done. # To update the current shell environment, run: eval $(opam env) 2025-05-10 16:28.36 ---> using "bdba087796d640a5efe244dc87fc39120a3237b9d5137dad85cbce3cfa024e11" from cache /src: (copy (src .) (dst /src)) 2025-05-10 16:28.37 ---> saved as "1c48aaae552da124b42e4ca0e984f88e2776d9d6e987da9e663f5d484bc250f9" /src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build")) (cd _build/default/test_ppx && ./test_ppx_op_expected.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test_ppx && ./test_ppx_op.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/46b4f99c03306fe97bbd9c95deb99789/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5e6bc54defbedc2a123fa00749442dc6/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -) Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/46b4f99c03306fe97bbd9c95deb99789/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/46b4f99c03306fe97bbd9c95deb99789/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/46b4f99c03306fe97bbd9c95deb99789/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/46b4f99c03306fe97bbd9c95deb99789/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/46b4f99c03306fe97bbd9c95deb99789/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/46b4f99c03306fe97bbd9c95deb99789/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/46b4f99c03306fe97bbd9c95deb99789/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/46b4f99c03306fe97bbd9c95deb99789/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/46b4f99c03306fe97bbd9c95deb99789/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/46b4f99c03306fe97bbd9c95deb99789/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/46b4f99c03306fe97bbd9c95deb99789/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/46b4f99c03306fe97bbd9c95deb99789/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/46b4f99c03306fe97bbd9c95deb99789/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/46b4f99c03306fe97bbd9c95deb99789/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/46b4f99c03306fe97bbd9c95deb99789/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/46b4f99c03306fe97bbd9c95deb99789/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/46b4f99c03306fe97bbd9c95deb99789/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/.sandbox/46b4f99c03306fe97bbd9c95deb99789/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/46b4f99c03306fe97bbd9c95deb99789/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file (cd _build/default/test && ./moons_demo_parallel_run.exe) Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config. Retrieving commandline, environment, or config file variable ocannl_log_level Found 0, in the config file ("Set log_level to" 1) └─{orphaned from #2} Retrieving commandline, environment, or config file variable ocannl_backend Found cc, in the config file Properties of devices: (multicore_devices (device ((device_name CPU) (device_ordinal 0) (num_domains 128)))) @!Retrieving commandline, environment, or config file variable ocannl_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=0.194250, batch loss=0.243644, epoch loss=0.711025 Batch=239, step=1440, lr=0.194000, batch loss=0.347898, epoch loss=1.058923 Batch=299, step=1500, lr=0.194000, batch loss=0.247333, epoch loss=1.306257 Batch=359, step=1560, lr=0.193750, batch loss=0.316587, epoch loss=1.622843 Batch=419, step=1620, lr=0.193500, batch loss=0.312725, epoch loss=1.935569 Batch=479, step=1680, lr=0.193250, batch loss=0.276283, epoch loss=2.211852 Batch=539, step=1740, lr=0.193000, batch loss=0.209818, epoch loss=2.421669 Batch=599, step=1800, lr=0.192750, batch loss=0.250414, epoch loss=2.672084 Batch=659, step=1860, lr=0.192500, batch loss=0.367186, epoch loss=3.039270 Batch=719, step=1920, lr=0.192250, batch loss=0.354943, epoch loss=3.394213 Batch=779, step=1980, lr=0.192000, batch loss=0.381368, epoch loss=3.775581 Batch=839, step=2040, lr=0.191750, batch loss=0.339644, epoch loss=4.115225 Batch=899, step=2100, lr=0.191500, batch loss=0.295231, epoch loss=4.410455 Batch=959, step=2160, lr=0.191250, batch loss=0.214045, epoch loss=4.624501 Batch=1019, step=2220, lr=0.191000, batch loss=0.330936, epoch loss=4.955437 Batch=1079, step=2280, lr=0.190750, batch loss=0.208280, epoch loss=5.163717 Batch=1139, step=2340, lr=0.190500, batch loss=0.278326, epoch loss=5.442043 Batch=1199, step=2400, lr=0.190250, batch loss=0.220813, epoch loss=5.662856 Epoch=1, step=2400, lr=0.190250, epoch loss=5.662856 Batch=59, step=2460, lr=0.190000, batch loss=0.230383, epoch loss=0.230383 Batch=119, step=2520, lr=0.189750, batch loss=0.195942, epoch loss=0.426325 Batch=179, step=2580, lr=0.189500, batch loss=0.221169, epoch loss=0.647494 Batch=239, step=2640, lr=0.189250, batch loss=0.328102, epoch loss=0.975595 Batch=299, step=2700, lr=0.189000, batch loss=0.202932, epoch loss=1.178528 Batch=359, step=2760, lr=0.188750, batch loss=0.288271, epoch loss=1.466799 Batch=419, step=2820, lr=0.188500, batch loss=0.280170, epoch loss=1.746969 Batch=479, step=2880, lr=0.188250, batch loss=0.251466, epoch loss=1.998435 Batch=539, step=2940, lr=0.188000, batch loss=0.191277, epoch loss=2.189712 Batch=599, step=3000, lr=0.187750, batch loss=0.224958, epoch loss=2.414670 Batch=659, step=3060, lr=0.187500, batch loss=0.335782, epoch loss=2.750452 Batch=719, step=3120, lr=0.187250, batch loss=0.331404, epoch loss=3.081855 Batch=779, step=3180, lr=0.187000, batch loss=0.357941, epoch loss=3.439797 Batch=839, step=3240, lr=0.186750, batch loss=0.325597, epoch loss=3.765394 Batch=899, step=3300, lr=0.186500, batch loss=0.292394, epoch loss=4.057788 Batch=959, step=3360, lr=0.186250, batch loss=0.244914, epoch loss=4.302702 Batch=1019, step=3420, lr=0.186000, batch loss=0.361968, epoch loss=4.664671 Batch=1079, step=3480, lr=0.185750, batch loss=0.221978, epoch loss=4.886649 Batch=1139, step=3540, lr=0.185500, batch loss=0.264088, epoch loss=5.150737 Batch=1199, step=3600, lr=0.185250, batch loss=0.199932, epoch loss=5.350669 Epoch=2, step=3600, lr=0.185250, epoch loss=5.350669 Batch=59, step=3660, lr=0.185000, batch loss=0.221199, epoch loss=0.221199 Batch=119, step=3720, lr=0.184750, batch loss=0.184978, epoch loss=0.406177 Batch=179, step=3780, lr=0.184500, batch loss=0.211400, epoch loss=0.617577 Batch=239, step=3840, lr=0.184250, batch loss=0.316948, epoch loss=0.934525 Batch=299, step=3900, lr=0.184000, batch loss=0.209240, epoch loss=1.143766 Batch=359, step=3960, lr=0.183750, batch loss=0.285611, epoch loss=1.429377 Batch=419, step=4020, lr=0.183500, batch loss=0.278268, epoch loss=1.707644 Batch=479, step=4080, lr=0.183250, batch loss=0.254946, epoch loss=1.962590 Batch=539, step=4140, lr=0.183000, batch loss=0.199979, epoch loss=2.162569 Batch=599, step=4200, lr=0.182750, batch loss=0.242621, epoch loss=2.405190 Batch=659, step=4260, lr=0.182500, batch loss=0.327766, epoch loss=2.732957 Batch=719, step=4320, lr=0.182250, batch loss=0.330856, epoch loss=3.063813 Batch=779, step=4380, lr=0.182000, batch loss=0.349757, epoch loss=3.413569 Batch=839, step=4440, lr=0.181750, batch loss=0.317826, epoch loss=3.731395 Batch=899, step=4500, lr=0.181500, batch loss=0.285793, epoch loss=4.017189 Batch=959, step=4560, lr=0.181250, batch loss=0.239645, epoch loss=4.256834 Batch=1019, step=4620, lr=0.181000, batch loss=0.333008, epoch loss=4.589842 Batch=1079, step=4680, lr=0.180750, batch loss=0.195724, epoch loss=4.785566 Batch=1139, step=4740, lr=0.180500, batch loss=0.229065, epoch loss=5.014631 Batch=1199, step=4800, lr=0.180250, batch loss=0.193320, epoch loss=5.207951 Epoch=3, step=4800, lr=0.180250, epoch loss=5.207951 Batch=59, step=4860, lr=0.180000, batch loss=0.242918, epoch loss=0.242918 Batch=119, step=4920, lr=0.179750, batch loss=0.198207, epoch loss=0.441125 Batch=179, step=4980, lr=0.179500, batch loss=0.206260, epoch loss=0.647385 Batch=239, step=5040, lr=0.179250, batch loss=0.306205, epoch loss=0.953590 Batch=299, step=5100, lr=0.179000, batch loss=0.203024, epoch loss=1.156614 Batch=359, step=5160, lr=0.178750, batch loss=0.272590, epoch loss=1.429204 Batch=419, step=5220, lr=0.178500, batch loss=0.264302, epoch loss=1.693507 Batch=479, step=5280, lr=0.178250, batch loss=0.240430, epoch loss=1.933937 Batch=539, step=5340, lr=0.178000, batch loss=0.189546, epoch loss=2.123483 Batch=599, step=5400, lr=0.177750, batch loss=0.232065, epoch loss=2.355548 Batch=659, step=5460, lr=0.177500, batch loss=0.323607, epoch loss=2.679155 Batch=719, step=5520, lr=0.177250, batch loss=0.325259, epoch loss=3.004413 Batch=779, step=5580, lr=0.177000, batch loss=0.337252, epoch loss=3.341665 Batch=839, step=5640, lr=0.176750, batch loss=0.314701, epoch loss=3.656366 Batch=899, step=5700, lr=0.176500, batch loss=0.277046, epoch loss=3.933413 Batch=959, step=5760, lr=0.176250, batch loss=0.207176, epoch loss=4.140589 Batch=1019, step=5820, lr=0.176000, batch loss=0.342495, epoch loss=4.483084 Batch=1079, step=5880, lr=0.175750, batch loss=0.203119, epoch loss=4.686203 Batch=1139, step=5940, lr=0.175500, batch loss=0.241822, epoch loss=4.928024 Batch=1199, step=6000, lr=0.175250, batch loss=0.185392, epoch loss=5.113416 Epoch=4, step=6000, lr=0.175250, epoch loss=5.113416 Batch=59, step=6060, lr=0.175000, batch loss=0.224546, epoch loss=0.224546 Batch=119, step=6120, lr=0.174750, batch loss=0.185452, epoch loss=0.409997 Batch=179, step=6180, lr=0.174500, batch loss=0.201625, epoch loss=0.611622 Batch=239, step=6240, lr=0.174250, batch loss=0.300190, epoch loss=0.911812 Batch=299, step=6300, lr=0.174000, batch loss=0.207856, epoch loss=1.119668 Batch=359, step=6360, lr=0.173750, batch loss=0.265185, epoch loss=1.384853 Batch=419, step=6420, lr=0.173500, batch loss=0.261064, epoch loss=1.645917 Batch=479, step=6480, lr=0.173250, batch loss=0.236903, epoch loss=1.882820 Batch=539, step=6540, lr=0.173000, batch loss=0.187037, epoch loss=2.069857 Batch=599, step=6600, lr=0.172750, batch loss=0.226940, epoch loss=2.296798 Batch=659, step=6660, lr=0.172500, batch loss=0.316515, epoch loss=2.613313 Batch=719, step=6720, lr=0.172250, batch loss=0.314187, epoch loss=2.927500 Batch=779, step=6780, lr=0.172000, batch loss=0.334238, epoch loss=3.261738 Batch=839, step=6840, lr=0.171750, batch loss=0.304232, epoch loss=3.565970 Batch=899, step=6900, lr=0.171500, batch loss=0.266084, epoch loss=3.832054 Batch=959, step=6960, lr=0.171250, batch loss=0.210393, epoch loss=4.042446 Batch=1019, step=7020, lr=0.171000, batch loss=0.328999, epoch loss=4.371445 Batch=1079, step=7080, lr=0.170750, batch loss=0.181930, epoch loss=4.553375 Batch=1139, step=7140, lr=0.170500, batch loss=0.216144, epoch loss=4.769519 Batch=1199, step=7200, lr=0.170250, batch loss=0.181941, epoch loss=4.951460 Epoch=5, step=7200, lr=0.170250, epoch loss=4.951460 Batch=59, step=7260, lr=0.170000, batch loss=0.241524, epoch loss=0.241524 Batch=119, step=7320, lr=0.169750, batch loss=0.179214, epoch loss=0.420738 Batch=179, step=7380, lr=0.169500, batch loss=0.195355, epoch loss=0.616093 Batch=239, step=7440, lr=0.169250, batch loss=0.291999, epoch loss=0.908092 Batch=299, step=7500, lr=0.169000, batch loss=0.209102, epoch loss=1.117194 Batch=359, step=7560, lr=0.168750, batch loss=0.260476, epoch loss=1.377670 Batch=419, step=7620, lr=0.168500, batch loss=0.255525, epoch loss=1.633195 Batch=479, step=7680, lr=0.168250, batch loss=0.238274, epoch loss=1.871469 Batch=539, step=7740, lr=0.168000, batch loss=0.186923, epoch loss=2.058392 Batch=599, step=7800, lr=0.167750, batch loss=0.226727, epoch loss=2.285119 Batch=659, step=7860, lr=0.167500, batch loss=0.304909, epoch loss=2.590028 Batch=719, step=7920, lr=0.167250, batch loss=0.308153, epoch loss=2.898181 Batch=779, step=7980, lr=0.167000, batch loss=0.320874, epoch loss=3.219055 Batch=839, step=8040, lr=0.166750, batch loss=0.297046, epoch loss=3.516101 Batch=899, step=8100, lr=0.166500, batch loss=0.263195, epoch loss=3.779296 Batch=959, step=8160, lr=0.166250, batch loss=0.199726, epoch loss=3.979022 Batch=1019, step=8220, lr=0.166000, batch loss=0.322325, epoch loss=4.301347 Batch=1079, step=8280, lr=0.165750, batch loss=0.188508, epoch loss=4.489855 Batch=1139, step=8340, lr=0.165500, batch loss=0.219454, epoch loss=4.709309 Batch=1199, step=8400, lr=0.165250, batch loss=0.172834, epoch loss=4.882143 Epoch=6, step=8400, lr=0.165250, epoch loss=4.882143 Batch=59, step=8460, lr=0.165000, batch loss=0.212085, epoch loss=0.212085 Batch=119, step=8520, lr=0.164750, batch loss=0.171816, epoch loss=0.383900 Batch=179, step=8580, lr=0.164500, batch loss=0.188196, epoch loss=0.572096 Batch=239, step=8640, lr=0.164250, batch loss=0.276949, epoch loss=0.849045 Batch=299, step=8700, lr=0.164000, batch loss=0.193550, epoch loss=1.042595 Batch=359, step=8760, lr=0.163750, batch loss=0.246491, epoch loss=1.289086 Batch=419, step=8820, lr=0.163500, batch loss=0.245335, epoch loss=1.534421 Batch=479, step=8880, lr=0.163250, batch loss=0.228576, epoch loss=1.762997 Batch=539, step=8940, lr=0.163000, batch loss=0.178544, epoch loss=1.941541 Batch=599, step=9000, lr=0.162750, batch loss=0.217653, epoch loss=2.159194 Batch=659, step=9060, lr=0.162500, batch loss=0.293952, epoch loss=2.453146 Batch=719, step=9120, lr=0.162250, batch loss=0.295894, epoch loss=2.749040 Batch=779, step=9180, lr=0.162000, batch loss=0.315080, epoch loss=3.064120 Batch=839, step=9240, lr=0.161750, batch loss=0.281382, epoch loss=3.345501 Batch=899, step=9300, lr=0.161500, batch loss=0.252629, epoch loss=3.598131 Batch=959, step=9360, lr=0.161250, batch loss=0.210422, epoch loss=3.808552 Batch=1019, step=9420, lr=0.161000, batch loss=0.296991, epoch loss=4.105543 Batch=1079, step=9480, lr=0.160750, batch loss=0.174969, epoch loss=4.280512 Batch=1139, step=9540, lr=0.160500, batch loss=0.205397, epoch loss=4.485909 Batch=1199, step=9600, lr=0.160250, batch loss=0.164551, epoch loss=4.650461 Epoch=7, step=9600, lr=0.160250, epoch loss=4.650461 Batch=59, step=9660, lr=0.160000, batch loss=0.192435, epoch loss=0.192435 Batch=119, step=9720, lr=0.159750, batch loss=0.161934, epoch loss=0.354369 Batch=179, step=9780, lr=0.159500, batch loss=0.178657, epoch loss=0.533025 Batch=239, step=9840, lr=0.159250, batch loss=0.261993, epoch loss=0.795019 Batch=299, step=9900, lr=0.159000, batch loss=0.184615, epoch loss=0.979634 Batch=359, step=9960, lr=0.158750, batch loss=0.244358, epoch loss=1.223992 Batch=419, step=10020, lr=0.158500, batch loss=0.249117, epoch loss=1.473109 Batch=479, step=10080, lr=0.158250, batch loss=0.217999, epoch loss=1.691108 Batch=539, step=10140, lr=0.158000, batch loss=0.169315, epoch loss=1.860423 Batch=599, step=10200, lr=0.157750, batch loss=0.206462, epoch loss=2.066885 Batch=659, step=10260, lr=0.157500, batch loss=0.277960, epoch loss=2.344845 Batch=719, step=10320, lr=0.157250, batch loss=0.283410, epoch loss=2.628254 Batch=779, step=10380, lr=0.157000, batch loss=0.291221, epoch loss=2.919476 Batch=839, step=10440, lr=0.156750, batch loss=0.264964, epoch loss=3.184440 Batch=899, step=10500, lr=0.156500, batch loss=0.235316, epoch loss=3.419755 Batch=959, step=10560, lr=0.156250, batch loss=0.180793, epoch loss=3.600549 Batch=1019, step=10620, lr=0.156000, batch loss=0.292320, epoch loss=3.892868 Batch=1079, step=10680, lr=0.155750, batch loss=0.183159, epoch loss=4.076027 Batch=1139, step=10740, lr=0.155500, batch loss=0.197804, epoch loss=4.273831 Batch=1199, step=10800, lr=0.155250, batch loss=0.155635, epoch loss=4.429466 Epoch=8, step=10800, lr=0.155250, epoch loss=4.429466 Batch=59, step=10860, lr=0.155000, batch loss=0.179779, epoch loss=0.179779 Batch=119, step=10920, lr=0.154750, batch loss=0.150504, epoch loss=0.330283 Batch=179, step=10980, lr=0.154500, batch loss=0.165907, epoch loss=0.496190 Batch=239, step=11040, lr=0.154250, batch loss=0.245791, epoch loss=0.741981 Batch=299, step=11100, lr=0.154000, batch loss=0.169709, epoch loss=0.911690 Batch=359, step=11160, lr=0.153750, batch loss=0.221592, epoch loss=1.133282 Batch=419, step=11220, lr=0.153500, batch loss=0.216742, epoch loss=1.350024 Batch=479, step=11280, lr=0.153250, batch loss=0.211348, epoch loss=1.561373 Batch=539, step=11340, lr=0.153000, batch loss=0.163219, epoch loss=1.724592 Batch=599, step=11400, lr=0.152750, batch loss=0.177426, epoch loss=1.902018 Batch=659, step=11460, lr=0.152500, batch loss=0.265440, epoch loss=2.167457 Batch=719, step=11520, lr=0.152250, batch loss=0.263500, epoch loss=2.430957 Batch=779, step=11580, lr=0.152000, batch loss=0.271599, epoch loss=2.702556 Batch=839, step=11640, lr=0.151750, batch loss=0.250420, epoch loss=2.952977 Batch=899, step=11700, lr=0.151500, batch loss=0.219607, epoch loss=3.172583 Batch=959, step=11760, lr=0.151250, batch loss=0.185832, epoch loss=3.358415 Batch=1019, step=11820, lr=0.151000, batch loss=0.288467, epoch loss=3.646883 Batch=1079, step=11880, lr=0.150750, batch loss=0.146881, epoch loss=3.793764 Batch=1139, step=11940, lr=0.150500, batch loss=0.178824, epoch loss=3.972587 Batch=1199, step=12000, lr=0.150250, batch loss=0.138872, epoch loss=4.111460 Epoch=9, step=12000, lr=0.150250, epoch loss=4.111460 Batch=59, step=12060, lr=0.150000, batch loss=0.159482, epoch loss=0.159482 Batch=119, step=12120, lr=0.149750, batch loss=0.127831, epoch loss=0.287313 Batch=179, step=12180, lr=0.149500, batch loss=0.152560, epoch loss=0.439872 Batch=239, step=12240, lr=0.149250, batch loss=0.220333, epoch loss=0.660206 Batch=299, step=12300, lr=0.149000, batch loss=0.138469, epoch loss=0.798675 Batch=359, step=12360, lr=0.148750, batch loss=0.188744, epoch loss=0.987419 Batch=419, step=12420, lr=0.148500, batch loss=0.182395, epoch loss=1.169814 Batch=479, step=12480, lr=0.148250, batch loss=0.163026, epoch loss=1.332840 Batch=539, step=12540, lr=0.148000, batch loss=0.137038, epoch loss=1.469878 Batch=599, step=12600, lr=0.147750, batch loss=0.155745, epoch loss=1.625623 Batch=659, step=12660, lr=0.147500, batch loss=0.232604, epoch loss=1.858226 Batch=719, step=12720, lr=0.147250, batch loss=0.225341, epoch loss=2.083568 Batch=779, step=12780, lr=0.147000, batch loss=0.232809, epoch loss=2.316377 Batch=839, step=12840, lr=0.146750, batch loss=0.234222, epoch loss=2.550599 Batch=899, step=12900, lr=0.146500, batch loss=0.235938, epoch loss=2.786537 Batch=959, step=12960, lr=0.146250, batch loss=0.135821, epoch loss=2.922359 Batch=1019, step=13020, lr=0.146000, batch loss=0.213503, epoch loss=3.135862 Batch=1079, step=13080, lr=0.145750, batch loss=0.114313, epoch loss=3.250175 Batch=1139, step=13140, lr=0.145500, batch loss=0.144224, epoch loss=3.394399 Batch=1199, step=13200, lr=0.145250, batch loss=0.116202, epoch loss=3.510601 Epoch=10, step=13200, lr=0.145250, epoch loss=3.510601 Batch=59, step=13260, lr=0.145000, batch loss=0.137597, epoch loss=0.137597 Batch=119, step=13320, lr=0.144750, batch loss=0.124260, epoch loss=0.261857 Batch=179, step=13380, lr=0.144500, batch loss=0.127132, epoch loss=0.388989 Batch=239, step=13440, lr=0.144250, batch loss=0.191167, epoch loss=0.580156 Batch=299, step=13500, lr=0.144000, batch loss=0.124576, epoch loss=0.704732 Batch=359, step=13560, lr=0.143750, batch loss=0.159852, epoch loss=0.864584 Batch=419, step=13620, lr=0.143500, batch loss=0.160229, epoch loss=1.024813 Batch=479, step=13680, lr=0.143250, batch loss=0.144577, epoch loss=1.169390 Batch=539, step=13740, lr=0.143000, batch loss=0.118079, epoch loss=1.287470 Batch=599, step=13800, lr=0.142750, batch loss=0.119156, epoch loss=1.406626 Batch=659, step=13860, lr=0.142500, batch loss=0.173871, epoch loss=1.580497 Batch=719, step=13920, lr=0.142250, batch loss=0.175863, epoch loss=1.756360 Batch=779, step=13980, lr=0.142000, batch loss=0.194711, epoch loss=1.951071 Batch=839, step=14040, lr=0.141750, batch loss=0.185579, epoch loss=2.136650 Batch=899, step=14100, lr=0.141500, batch loss=0.176163, epoch loss=2.312812 Batch=959, step=14160, lr=0.141250, batch loss=0.133543, epoch loss=2.446355 Batch=1019, step=14220, lr=0.141000, batch loss=0.276633, epoch loss=2.722988 Batch=1079, step=14280, lr=0.140750, batch loss=0.084044, epoch loss=2.807033 Batch=1139, step=14340, lr=0.140500, batch loss=0.131260, epoch loss=2.938292 Batch=1199, step=14400, lr=0.140250, batch loss=0.093051, epoch loss=3.031343 Epoch=11, step=14400, lr=0.140250, epoch loss=3.031343 Batch=59, step=14460, lr=0.140000, batch loss=0.115576, epoch loss=0.115576 Batch=119, step=14520, lr=0.139750, batch loss=0.106006, epoch loss=0.221582 Batch=179, step=14580, lr=0.139500, batch loss=0.103868, epoch loss=0.325450 Batch=239, step=14640, lr=0.139250, batch loss=0.138003, epoch loss=0.463453 Batch=299, step=14700, lr=0.139000, batch loss=0.078953, epoch loss=0.542406 Batch=359, step=14760, lr=0.138750, batch loss=0.116397, epoch loss=0.658804 Batch=419, step=14820, lr=0.138500, batch loss=0.123965, epoch loss=0.782768 Batch=479, step=14880, lr=0.138250, batch loss=0.101674, epoch loss=0.884442 Batch=539, step=14940, lr=0.138000, batch loss=0.115450, epoch loss=0.999892 Batch=599, step=15000, lr=0.137750, batch loss=0.087721, epoch loss=1.087613 Batch=659, step=15060, lr=0.137500, batch loss=0.124994, epoch loss=1.212608 Batch=719, step=15120, lr=0.137250, batch loss=0.129052, epoch loss=1.341660 Batch=779, step=15180, lr=0.137000, batch loss=0.149650, epoch loss=1.491310 Batch=839, step=15240, lr=0.136750, batch loss=0.148658, epoch loss=1.639968 Batch=899, step=15300, lr=0.136500, batch loss=0.173467, epoch loss=1.813435 Batch=959, step=15360, lr=0.136250, batch loss=0.093182, epoch loss=1.906617 Batch=1019, step=15420, lr=0.136000, batch loss=0.167983, epoch loss=2.074600 Batch=1079, step=15480, lr=0.135750, batch loss=0.040723, epoch loss=2.115323 Batch=1139, step=15540, lr=0.135500, batch loss=0.094298, epoch loss=2.209621 Batch=1199, step=15600, lr=0.135250, batch loss=0.055536, epoch loss=2.265157 Epoch=12, step=15600, lr=0.135250, epoch loss=2.265157 Batch=59, step=15660, lr=0.135000, batch loss=0.077614, epoch loss=0.077614 Batch=119, step=15720, lr=0.134750, batch loss=0.139876, epoch loss=0.217490 Batch=179, step=15780, lr=0.134500, batch loss=0.097303, epoch loss=0.314793 Batch=239, step=15840, lr=0.134250, batch loss=0.093907, epoch loss=0.408700 Batch=299, step=15900, lr=0.134000, batch loss=0.044641, epoch loss=0.453342 Batch=359, step=15960, lr=0.133750, batch loss=0.096157, epoch loss=0.549498 Batch=419, step=16020, lr=0.133500, batch loss=0.078024, epoch loss=0.627522 Batch=479, step=16080, lr=0.133250, batch loss=0.060500, epoch loss=0.688023 Batch=539, step=16140, lr=0.133000, batch loss=0.059472, epoch loss=0.747495 Batch=599, step=16200, lr=0.132750, batch loss=0.135078, epoch loss=0.882572 Batch=659, step=16260, lr=0.132500, batch loss=0.083430, epoch loss=0.966002 Batch=719, step=16320, lr=0.132250, batch loss=0.120673, epoch loss=1.086676 Batch=779, step=16380, lr=0.132000, batch loss=0.293035, epoch loss=1.379711 Batch=839, step=16440, lr=0.131750, batch loss=0.090258, epoch loss=1.469969 Batch=899, step=16500, lr=0.131500, batch loss=0.076923, epoch loss=1.546892 Batch=959, step=16560, lr=0.131250, batch loss=0.031503, epoch loss=1.578395 Batch=1019, step=16620, lr=0.131000, batch loss=0.067071, epoch loss=1.645466 Batch=1079, step=16680, lr=0.130750, batch loss=0.045925, epoch loss=1.691391 Batch=1139, step=16740, lr=0.130500, batch loss=0.079452, epoch loss=1.770843 Batch=1199, step=16800, lr=0.130250, batch loss=0.037165, epoch loss=1.808007 Epoch=13, step=16800, lr=0.130250, epoch loss=1.808007 Batch=59, step=16860, lr=0.130000, batch loss=0.031500, epoch loss=0.031500 Batch=119, step=16920, lr=0.129750, batch loss=0.032692, epoch loss=0.064192 Batch=179, step=16980, lr=0.129500, batch loss=0.042003, epoch loss=0.106195 Batch=239, step=17040, lr=0.129250, batch loss=0.055055, epoch loss=0.161250 Batch=299, step=17100, lr=0.129000, batch loss=0.018654, epoch loss=0.179904 Batch=359, step=17160, lr=0.128750, batch loss=0.042153, epoch loss=0.222057 Batch=419, step=17220, lr=0.128500, batch loss=0.043599, epoch loss=0.265656 Batch=479, step=17280, lr=0.128250, batch loss=0.023761, epoch loss=0.289417 Batch=539, step=17340, lr=0.128000, batch loss=0.028680, epoch loss=0.318098 Batch=599, step=17400, lr=0.127750, batch loss=0.033682, epoch loss=0.351779 Batch=659, step=17460, lr=0.127500, batch loss=0.044887, epoch loss=0.396667 Batch=719, step=17520, lr=0.127250, batch loss=0.062885, epoch loss=0.459552 Batch=779, step=17580, lr=0.127000, batch loss=0.064157, epoch loss=0.523709 Batch=839, step=17640, lr=0.126750, batch loss=0.101615, epoch loss=0.625324 Batch=899, step=17700, lr=0.126500, batch loss=0.055362, epoch loss=0.680686 Batch=959, step=17760, lr=0.126250, batch loss=0.021253, epoch loss=0.701938 Batch=1019, step=17820, lr=0.126000, batch loss=0.029507, epoch loss=0.731446 Batch=1079, step=17880, lr=0.125750, batch loss=0.018978, epoch loss=0.750423 Batch=1139, step=17940, lr=0.125500, batch loss=0.041252, epoch loss=0.791675 Batch=1199, step=18000, lr=0.125250, batch loss=0.015846, epoch loss=0.807522 Epoch=14, step=18000, lr=0.125250, epoch loss=0.807522 Batch=59, step=18060, lr=0.125000, batch loss=0.015812, epoch loss=0.015812 Batch=119, step=18120, lr=0.124750, batch loss=0.031082, epoch loss=0.046894 Batch=179, step=18180, lr=0.124500, batch loss=0.029476, epoch loss=0.076370 Batch=239, step=18240, lr=0.124250, batch loss=0.034919, epoch loss=0.111289 Batch=299, step=18300, lr=0.124000, batch loss=0.011842, epoch loss=0.123131 Batch=359, step=18360, lr=0.123750, batch loss=0.025287, epoch loss=0.148418 Batch=419, step=18420, lr=0.123500, batch loss=0.057948, epoch loss=0.206366 Batch=479, step=18480, lr=0.123250, batch loss=0.012537, epoch loss=0.218903 Batch=539, step=18540, lr=0.123000, batch loss=0.022301, epoch loss=0.241203 Batch=599, step=18600, lr=0.122750, batch loss=0.027933, epoch loss=0.269137 Batch=659, step=18660, lr=0.122500, batch loss=0.027589, epoch loss=0.296726 Batch=719, step=18720, lr=0.122250, batch loss=0.026826, epoch loss=0.323552 Batch=779, step=18780, lr=0.122000, batch loss=0.065980, epoch loss=0.389532 Batch=839, step=18840, lr=0.121750, batch loss=0.137220, epoch loss=0.526751 Batch=899, step=18900, lr=0.121500, batch loss=0.036950, epoch loss=0.563701 Batch=959, step=18960, lr=0.121250, batch loss=0.014473, epoch loss=0.578174 Batch=1019, step=19020, lr=0.121000, batch loss=0.023527, epoch loss=0.601701 Batch=1079, step=19080, lr=0.120750, batch loss=0.010983, epoch loss=0.612684 Batch=1139, step=19140, lr=0.120500, batch loss=0.024389, epoch loss=0.637073 Batch=1199, step=19200, lr=0.120250, batch loss=0.011058, epoch loss=0.648131 Epoch=15, step=19200, lr=0.120250, epoch loss=0.648131 Batch=59, step=19260, lr=0.120000, batch loss=0.005736, epoch loss=0.005736 Batch=119, step=19320, lr=0.119750, batch loss=0.015414, epoch loss=0.021150 Batch=179, step=19380, lr=0.119500, batch loss=0.034579, epoch loss=0.055730 Batch=239, step=19440, lr=0.119250, batch loss=0.023461, epoch loss=0.079191 Batch=299, step=19500, lr=0.119000, batch loss=0.005662, epoch loss=0.084853 Batch=359, step=19560, lr=0.118750, batch loss=0.016414, epoch loss=0.101267 Batch=419, step=19620, lr=0.118500, batch loss=0.020331, epoch loss=0.121598 Batch=479, step=19680, lr=0.118250, batch loss=0.006667, epoch loss=0.128265 Batch=539, step=19740, lr=0.118000, batch loss=0.020504, epoch loss=0.148769 Batch=599, step=19800, lr=0.117750, batch loss=0.021485, epoch loss=0.170254 Batch=659, step=19860, lr=0.117500, batch loss=0.020015, epoch loss=0.190269 Batch=719, step=19920, lr=0.117250, batch loss=0.033247, epoch loss=0.223515 Batch=779, step=19980, lr=0.117000, batch loss=0.062136, epoch loss=0.285651 Batch=839, step=20040, lr=0.116750, batch loss=0.037486, epoch loss=0.323138 Batch=899, step=20100, lr=0.116500, batch loss=0.050349, epoch loss=0.373487 Batch=959, step=20160, lr=0.116250, batch loss=0.012396, epoch loss=0.385883 Batch=1019, step=20220, lr=0.116000, batch loss=0.015451, epoch loss=0.401334 Batch=1079, step=20280, lr=0.115750, batch loss=0.001815, epoch loss=0.403149 Batch=1139, step=20340, lr=0.115500, batch loss=0.015381, epoch loss=0.418530 Batch=1199, step=20400, lr=0.115250, batch loss=0.006046, epoch loss=0.424576 Epoch=16, step=20400, lr=0.115250, epoch loss=0.424576 Batch=59, step=20460, lr=0.115000, batch loss=0.003388, epoch loss=0.003388 Batch=119, step=20520, lr=0.114750, batch loss=0.009607, epoch loss=0.012995 Batch=179, step=20580, lr=0.114500, batch loss=0.024055, epoch loss=0.037050 Batch=239, step=20640, lr=0.114250, batch loss=0.015637, epoch loss=0.052687 Batch=299, step=20700, lr=0.114000, batch loss=0.004841, epoch loss=0.057528 Batch=359, step=20760, lr=0.113750, batch loss=0.013819, epoch loss=0.071347 Batch=419, step=20820, lr=0.113500, batch loss=0.016165, epoch loss=0.087512 Batch=479, step=20880, lr=0.113250, batch loss=0.003882, epoch loss=0.091394 Batch=539, step=20940, lr=0.113000, batch loss=0.016313, epoch loss=0.107707 Batch=599, step=21000, lr=0.112750, batch loss=0.018068, epoch loss=0.125774 Batch=659, step=21060, lr=0.112500, batch loss=0.013908, epoch loss=0.139683 Batch=719, step=21120, lr=0.112250, batch loss=0.031755, epoch loss=0.171438 Batch=779, step=21180, lr=0.112000, batch loss=0.044806, epoch loss=0.216244 Batch=839, step=21240, lr=0.111750, batch loss=0.031324, epoch loss=0.247568 Batch=899, step=21300, lr=0.111500, batch loss=0.037322, epoch loss=0.284889 Batch=959, step=21360, lr=0.111250, batch loss=0.010048, epoch loss=0.294937 Batch=1019, step=21420, lr=0.111000, batch loss=0.010628, epoch loss=0.305565 Batch=1079, step=21480, lr=0.110750, batch loss=0.002108, epoch loss=0.307673 Batch=1139, step=21540, lr=0.110500, batch loss=0.012538, epoch loss=0.320211 Batch=1199, step=21600, lr=0.110250, batch loss=0.005276, epoch loss=0.325487 Epoch=17, step=21600, lr=0.110250, epoch loss=0.325487 Batch=59, step=21660, lr=0.110000, batch loss=0.002662, epoch loss=0.002662 Batch=119, step=21720, lr=0.109750, batch loss=0.006756, epoch loss=0.009418 Batch=179, step=21780, lr=0.109500, batch loss=0.012906, epoch loss=0.022324 Batch=239, step=21840, lr=0.109250, batch loss=0.009444, epoch loss=0.031768 Batch=299, step=21900, lr=0.109000, batch loss=0.004220, epoch loss=0.035989 Batch=359, step=21960, lr=0.108750, batch loss=0.013595, epoch loss=0.049584 Batch=419, step=22020, lr=0.108500, batch loss=0.012677, epoch loss=0.062261 Batch=479, step=22080, lr=0.108250, batch loss=0.003659, epoch loss=0.065920 Batch=539, step=22140, lr=0.108000, batch loss=0.016042, epoch loss=0.081962 Batch=599, step=22200, lr=0.107750, batch loss=0.016154, epoch loss=0.098116 Batch=659, step=22260, lr=0.107500, batch loss=0.013781, epoch loss=0.111897 Batch=719, step=22320, lr=0.107250, batch loss=0.032248, epoch loss=0.144144 Batch=779, step=22380, lr=0.107000, batch loss=0.042177, epoch loss=0.186322 Batch=839, step=22440, lr=0.106750, batch loss=0.021591, epoch loss=0.207913 Batch=899, step=22500, lr=0.106500, batch loss=0.022541, epoch loss=0.230453 Batch=959, step=22560, lr=0.106250, batch loss=0.011387, epoch loss=0.241841 Batch=1019, step=22620, lr=0.106000, batch loss=0.009341, epoch loss=0.251182 Batch=1079, step=22680, lr=0.105750, batch loss=0.000034, epoch loss=0.251216 Batch=1139, step=22740, lr=0.105500, batch loss=0.010310, epoch loss=0.261525 Batch=1199, step=22800, lr=0.105250, batch loss=0.004504, epoch loss=0.266029 Epoch=18, step=22800, lr=0.105250, epoch loss=0.266029 Batch=59, step=22860, lr=0.105000, batch loss=0.001293, epoch loss=0.001293 Batch=119, step=22920, lr=0.104750, batch loss=0.005671, epoch loss=0.006964 Batch=179, step=22980, lr=0.104500, batch loss=0.010761, epoch loss=0.017725 Batch=239, step=23040, lr=0.104250, batch loss=0.008696, epoch loss=0.026421 Batch=299, step=23100, lr=0.104000, batch loss=0.007259, epoch loss=0.033680 Batch=359, step=23160, lr=0.103750, batch loss=0.012243, epoch loss=0.045923 Batch=419, step=23220, lr=0.103500, batch loss=0.010967, epoch loss=0.056890 Batch=479, step=23280, lr=0.103250, batch loss=0.002545, epoch loss=0.059435 Batch=539, step=23340, lr=0.103000, batch loss=0.017107, epoch loss=0.076543 Batch=599, step=23400, lr=0.102750, batch loss=0.014295, epoch loss=0.090837 Batch=659, step=23460, lr=0.102500, batch loss=0.010725, epoch loss=0.101562 Batch=719, step=23520, lr=0.102250, batch loss=0.014862, epoch loss=0.116424 Batch=779, step=23580, lr=0.102000, batch loss=0.022988, epoch loss=0.139412 Batch=839, step=23640, lr=0.101750, batch loss=0.025274, epoch loss=0.164686 Batch=899, step=23700, lr=0.101500, batch loss=0.023749, epoch loss=0.188435 Batch=959, step=23760, lr=0.101250, batch loss=0.009002, epoch loss=0.197437 Batch=1019, step=23820, lr=0.101000, batch loss=0.008271, epoch loss=0.205708 Batch=1079, step=23880, lr=0.100750, batch loss=0.000871, epoch loss=0.206579 Batch=1139, step=23940, lr=0.100500, batch loss=0.009597, epoch loss=0.216176 Batch=1199, step=24000, lr=0.100250, batch loss=0.005003, epoch loss=0.221179 Epoch=19, step=24000, lr=0.100250, epoch loss=0.221179 Half-moons scatterplot and decision boundary: ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐ │********************************#*******************************************************************│ │**********************#*#*#######*###*#####*********************************************************│ │**********************#########################*****************************************************│ │*****************#**########*######*###########*###*************************************************│ │***************#################*###################************************************************│ │************######*#################*#################**********************************************│ │**********#*#####*########*#**************##*#########*#********************************************│ │***********########*##*#******************#*****##########*****************************************.│ │***********###########*************************############*************************************....│ │********######*####*********************************###*###*#********************************.......│ │*******######**##*************....*****************#*######*#******************************.........│ │*******##*##**##**********...........***************########*##**************************...........│ │*****#######************.......%...%%...***************#########***********************...........%.│ │******######**********..........%.........**************##*#####**********************........%.%.%.│ │***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│ │****#######**********..........%%%%.........************#########*******************.........%%.%%.%│ │**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│ │*##*####************...........%%%%%%%.........***********########***************............%%%%%%.│ │*#######************...........%%%%%%%..........************#######*************.............%%%%%%.│ │*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│ │*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│ │#######***********.............%.%%%%%%..............********#######*********..............%%%%.%%..│ │#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│ │###*#*#**********...............%%%%%%%%%..............*******######******.................%%%%%%...│ │#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│ │######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│ │*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│ │#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│ │**************.....................%.%%%%%%...................******...................%.%%.%%......│ │**************.......................%..%%%%%%%.................***...............%.%%%%%%%%%.......│ │*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│ │************............................%..%%%%..%................................%%%%%%%%..........│ │************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│ │***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│ │***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│ │**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│ │**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│ │*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│ │*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│ │********................................................%...%%%%.%%.%%%%..%.........................│ └────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2025-05-10 16:28.54 ---> saved as "2a508d8fd68bd942aa9de3c2e4d8e1fd83a806a1f222ef5214a0d1367cc26963" Job succeeded 2025-05-10 16:28.54: Job succeeded