alpine-3.21-5.3_opam-2.3

2025-05-20 18:47.57: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (2c2690bf488a22a9a5927fac10ee6dd9f3b9fc74) (linux-x86_64:alpine-3.21-5.3_opam-2.3)
Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 2c2690bf
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571
# alpine-3.21-5.3_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 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.v0.17.2 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


2025-05-20 18:47.57: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"
2025-05-20 18:47.57: Using OBuilder spec:
((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
(comment alpine-3.21-5.3_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 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.v0.17.2 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"))
)


2025-05-20 18:47.57: Connecting to build cluster…
2025-05-20 18:47.57: Waiting for resource in pool OCluster
2025-05-20 18:47.57: Waiting for worker…
2025-05-20 18:54.17: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
HEAD is now at 0c149bf3 New executable read_config, and finally a better logging test setup with per-backend targets; important: test/ocannl_config -> test/config/ocannl_config
HEAD is now at 2c2690bf In progress: getting kernel logging to work again on the cuda backend


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
2025-05-20 18:54.50 ---> saved as "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962"


/: (comment alpine-3.21-5.3_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"))
2025-05-20 18:54.51 ---> saved as "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f"


/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.


Continue? [y/n] y
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.


Format upgrade done.
[NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using:
opam option jobs=255 --global


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-20 18:55.50 ---> saved as "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936"


/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
2025-05-20 18:55.50 ---> saved as "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-20 18:55.50 ---> saved as "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db"


/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..f8fd9069a4  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)
2025-05-20 18:56.36 ---> saved as "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-20 18:56.37 ---> saved as "3447341e45978511d37496412d8cf0bd00152169666b38173df912c353af7377"


/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)
2025-05-20 18:56.43 ---> saved as "c18c3293fb55e48178c49ea6a14bd19b50c0f5a53fb804023a5cb4485c5cce29"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-20 18:56.43 ---> saved as "032adceba002b196443012a023eeef306584e0583f4bdf0e11c942b3c2d8c555"


/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 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.v0.17.2 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 "apk" "update"
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz
- v3.21.3-506-gaa59717f6c9 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main]
- v3.21.3-508-ge5616f65dfd [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v20250108-8647-g4f9494a5af7 [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v20250108-8650-g22908c831e5 [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v20250108-8643-ga50bbf48381 [https://dl-cdn.alpinelinux.org/alpine/edge/testing]
- OK: 58259 distinct packages available


<><> 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


<><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><>


+ /usr/bin/sudo "apk" "add" "libffi-dev"
- (1/2) Installing linux-headers (6.6-r1)
- (2/2) Installing libffi-dev (3.4.7-r0)
- OK: 312 MiB in 104 packages
2025-05-20 18:57.06 ---> saved as "82f4d363aec3a0953aa85de2f732fa1af9e4b084c77f4dc79755c8c94150aee7"


/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 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                    3.18.2
- 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 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             v0.17.2
- 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 bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved base.v0.17.2  (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 fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (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 ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (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_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (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 sexplib0.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 sexplib.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 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 mtime.2.1.0
-> installed uutf.1.0.4
-> 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 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 thread-local-storage.0.2
-> installed ocaml-syntax-shims.1.0.0
-> installed re.1.12.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed mdx.2.5.0
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.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 base.v0.17.2
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_here.v0.17.0
-> installed ppx_cold.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)
2025-05-20 18:59.10 ---> saved as "fb77f4f78dc40b3f216b5df1508870bc5dfe3b488d936fe6c9ccc14fd5261050"


/src: (copy (src .) (dst /src))
2025-05-20 18:59.10 ---> saved as "6dcee4074776eac7da5391be7020fba5ebd53538dfb240ec91c7986c90b1fbed"


/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/487989e0dc3074b679de8fd8f9afc0f0/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2958f79c83813d5007627c1116e3a503/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/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 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=0.198750, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.327597, epoch loss=38.399812
Batch=419, step=420, lr=0.198250, batch loss=0.619847, epoch loss=39.019659
Batch=479, step=480, lr=0.198250, batch loss=0.820032, epoch loss=39.839691
Batch=539, step=540, lr=0.198000, batch loss=0.694135, epoch loss=40.533826
Batch=599, step=600, lr=0.197750, batch loss=1.061431, epoch loss=41.595257
Batch=659, step=660, lr=0.197500, batch loss=0.483874, epoch loss=42.079130
Batch=719, step=720, lr=0.197250, batch loss=0.411443, epoch loss=42.490573
Batch=779, step=780, lr=0.197000, batch loss=0.469958, epoch loss=42.960531
Batch=839, step=840, lr=0.196750, batch loss=0.447018, epoch loss=43.407550
Batch=899, step=900, lr=0.196500, batch loss=0.382795, epoch loss=43.790345
Batch=959, step=960, lr=0.196250, batch loss=0.244419, epoch loss=44.034764
Batch=1019, step=1020, lr=0.196000, batch loss=0.468081, epoch loss=44.502845
Batch=1079, step=1080, lr=0.195750, batch loss=0.247475, epoch loss=44.750321
Batch=1139, step=1140, lr=0.195500, batch loss=0.318195, epoch loss=45.068515
Batch=1199, step=1200, lr=0.195250, batch loss=0.263403, epoch loss=45.331918
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331918
Batch=59, step=1260, lr=0.195000, batch loss=0.261843, epoch loss=0.261843
Batch=119, step=1320, lr=0.194750, batch loss=0.205462, epoch loss=0.467305
Batch=179, step=1380, lr=0.194500, batch loss=0.243562, epoch loss=0.710867
Batch=239, step=1440, lr=0.194250, batch loss=0.348225, epoch loss=1.059091
Batch=299, step=1500, lr=0.194000, batch loss=0.253496, epoch loss=1.312588
Batch=359, step=1560, lr=0.193500, batch loss=0.316456, epoch loss=1.629044
Batch=419, step=1620, lr=0.193500, batch loss=0.309625, epoch loss=1.938669
Batch=479, step=1680, lr=0.193250, batch loss=0.275650, epoch loss=2.214319
Batch=539, step=1740, lr=0.193000, batch loss=0.210638, epoch loss=2.424957
Batch=599, step=1800, lr=0.192750, batch loss=0.250869, epoch loss=2.675826
Batch=659, step=1860, lr=0.192500, batch loss=0.369666, epoch loss=3.045492
Batch=719, step=1920, lr=0.192250, batch loss=0.364292, epoch loss=3.409785
Batch=779, step=1980, lr=0.192000, batch loss=0.383162, epoch loss=3.792947
Batch=839, step=2040, lr=0.191750, batch loss=0.342018, epoch loss=4.134965
Batch=899, step=2100, lr=0.191500, batch loss=0.302579, epoch loss=4.437544
Batch=959, step=2160, lr=0.191250, batch loss=0.224595, epoch loss=4.662139
Batch=1019, step=2220, lr=0.191000, batch loss=0.321402, epoch loss=4.983541
Batch=1079, step=2280, lr=0.190750, batch loss=0.188457, epoch loss=5.171998
Batch=1139, step=2340, lr=0.190500, batch loss=0.251757, epoch loss=5.423754
Batch=1199, step=2400, lr=0.190250, batch loss=0.211508, epoch loss=5.635262
Epoch=1, step=2400, lr=0.190250, epoch loss=5.635262
Batch=59, step=2460, lr=0.190000, batch loss=0.226562, epoch loss=0.226562
Batch=119, step=2520, lr=0.189750, batch loss=0.191933, epoch loss=0.418494
Batch=179, step=2580, lr=0.189500, batch loss=0.218479, epoch loss=0.636974
Batch=239, step=2640, lr=0.189250, batch loss=0.326840, epoch loss=0.963813
Batch=299, step=2700, lr=0.189000, batch loss=0.220777, epoch loss=1.184591
Batch=359, step=2760, lr=0.188750, batch loss=0.298442, epoch loss=1.483033
Batch=419, step=2820, lr=0.188500, batch loss=0.289256, epoch loss=1.772289
Batch=479, step=2880, lr=0.188250, batch loss=0.268583, epoch loss=2.040872
Batch=539, step=2940, lr=0.188000, batch loss=0.204404, epoch loss=2.245276
Batch=599, step=3000, lr=0.187750, batch loss=0.249167, epoch loss=2.494442
Batch=659, step=3060, lr=0.187500, batch loss=0.346593, epoch loss=2.841035
Batch=719, step=3120, lr=0.187250, batch loss=0.350682, epoch loss=3.191717
Batch=779, step=3180, lr=0.187000, batch loss=0.363679, epoch loss=3.555397
Batch=839, step=3240, lr=0.186750, batch loss=0.325003, epoch loss=3.880400
Batch=899, step=3300, lr=0.186500, batch loss=0.295177, epoch loss=4.175577
Batch=959, step=3360, lr=0.186250, batch loss=0.228070, epoch loss=4.403647
Batch=1019, step=3420, lr=0.186000, batch loss=0.340368, epoch loss=4.744014
Batch=1079, step=3480, lr=0.185750, batch loss=0.194003, epoch loss=4.938018
Batch=1139, step=3540, lr=0.185500, batch loss=0.252884, epoch loss=5.190902
Batch=1199, step=3600, lr=0.185250, batch loss=0.199637, epoch loss=5.390539
Epoch=2, step=3600, lr=0.185250, epoch loss=5.390539
Batch=59, step=3660, lr=0.185000, batch loss=0.227740, epoch loss=0.227740
Batch=119, step=3720, lr=0.184750, batch loss=0.196532, epoch loss=0.424273
Batch=179, step=3780, lr=0.184500, batch loss=0.212972, epoch loss=0.637244
Batch=239, step=3840, lr=0.184250, batch loss=0.317449, epoch loss=0.954693
Batch=299, step=3900, lr=0.184000, batch loss=0.210304, epoch loss=1.164998
Batch=359, step=3960, lr=0.183750, batch loss=0.284134, epoch loss=1.449132
Batch=419, step=4020, lr=0.183500, batch loss=0.272478, epoch loss=1.721610
Batch=479, step=4080, lr=0.183250, batch loss=0.248819, epoch loss=1.970429
Batch=539, step=4140, lr=0.183000, batch loss=0.195563, epoch loss=2.165992
Batch=599, step=4200, lr=0.182750, batch loss=0.238689, epoch loss=2.404681
Batch=659, step=4260, lr=0.182500, batch loss=0.330102, epoch loss=2.734783
Batch=719, step=4320, lr=0.182250, batch loss=0.332855, epoch loss=3.067638
Batch=779, step=4380, lr=0.182000, batch loss=0.358843, epoch loss=3.426482
Batch=839, step=4440, lr=0.181750, batch loss=0.312251, epoch loss=3.738733
Batch=899, step=4500, lr=0.181500, batch loss=0.280396, epoch loss=4.019129
Batch=959, step=4560, lr=0.181250, batch loss=0.209516, epoch loss=4.228645
Batch=1019, step=4620, lr=0.181000, batch loss=0.344234, epoch loss=4.572879
Batch=1079, step=4680, lr=0.180750, batch loss=0.220389, epoch loss=4.793268
Batch=1139, step=4740, lr=0.180500, batch loss=0.249354, epoch loss=5.042623
Batch=1199, step=4800, lr=0.180250, batch loss=0.190492, epoch loss=5.233115
Epoch=3, step=4800, lr=0.180250, epoch loss=5.233115
Batch=59, step=4860, lr=0.180000, batch loss=0.221696, epoch loss=0.221696
Batch=119, step=4920, lr=0.179750, batch loss=0.189231, epoch loss=0.410927
Batch=179, step=4980, lr=0.179500, batch loss=0.206488, epoch loss=0.617415
Batch=239, step=5040, lr=0.179250, batch loss=0.307837, epoch loss=0.925252
Batch=299, step=5100, lr=0.179000, batch loss=0.207802, epoch loss=1.133055
Batch=359, step=5160, lr=0.178750, batch loss=0.274739, epoch loss=1.407793
Batch=419, step=5220, lr=0.178500, batch loss=0.265879, epoch loss=1.673672
Batch=479, step=5280, lr=0.178250, batch loss=0.244895, epoch loss=1.918567
Batch=539, step=5340, lr=0.178000, batch loss=0.189636, epoch loss=2.108203
Batch=599, step=5400, lr=0.177750, batch loss=0.230255, epoch loss=2.338458
Batch=659, step=5460, lr=0.177500, batch loss=0.324742, epoch loss=2.663200
Batch=719, step=5520, lr=0.177250, batch loss=0.325675, epoch loss=2.988875
Batch=779, step=5580, lr=0.177000, batch loss=0.339273, epoch loss=3.328148
Batch=839, step=5640, lr=0.176750, batch loss=0.314185, epoch loss=3.642332
Batch=899, step=5700, lr=0.176500, batch loss=0.273728, epoch loss=3.916060
Batch=959, step=5760, lr=0.176250, batch loss=0.214741, epoch loss=4.130801
Batch=1019, step=5820, lr=0.176000, batch loss=0.340724, epoch loss=4.471525
Batch=1079, step=5880, lr=0.175750, batch loss=0.204843, epoch loss=4.676368
Batch=1139, step=5940, lr=0.175500, batch loss=0.241049, epoch loss=4.917417
Batch=1199, step=6000, lr=0.175250, batch loss=0.186137, epoch loss=5.103554
Epoch=4, step=6000, lr=0.175250, epoch loss=5.103554
Batch=59, step=6060, lr=0.175000, batch loss=0.226458, epoch loss=0.226458
Batch=119, step=6120, lr=0.174750, batch loss=0.184317, epoch loss=0.410775
Batch=179, step=6180, lr=0.174500, batch loss=0.201599, epoch loss=0.612374
Batch=239, step=6240, lr=0.174250, batch loss=0.301491, epoch loss=0.913865
Batch=299, step=6300, lr=0.174000, batch loss=0.204794, epoch loss=1.118659
Batch=359, step=6360, lr=0.173750, batch loss=0.265691, epoch loss=1.384350
Batch=419, step=6420, lr=0.173500, batch loss=0.261293, epoch loss=1.645643
Batch=479, step=6480, lr=0.173250, batch loss=0.241378, epoch loss=1.887021
Batch=539, step=6540, lr=0.173000, batch loss=0.196411, epoch loss=2.083433
Batch=599, step=6600, lr=0.172750, batch loss=0.231675, epoch loss=2.315108
Batch=659, step=6660, lr=0.172500, batch loss=0.313801, epoch loss=2.628909
Batch=719, step=6720, lr=0.172250, batch loss=0.317567, epoch loss=2.946476
Batch=779, step=6780, lr=0.172000, batch loss=0.330772, epoch loss=3.277248
Batch=839, step=6840, lr=0.171750, batch loss=0.307259, epoch loss=3.584507
Batch=899, step=6900, lr=0.171500, batch loss=0.268681, epoch loss=3.853188
Batch=959, step=6960, lr=0.171250, batch loss=0.208357, epoch loss=4.061545
Batch=1019, step=7020, lr=0.171000, batch loss=0.324204, epoch loss=4.385749
Batch=1079, step=7080, lr=0.170750, batch loss=0.178062, epoch loss=4.563812
Batch=1139, step=7140, lr=0.170500, batch loss=0.215071, epoch loss=4.778883
Batch=1199, step=7200, lr=0.170250, batch loss=0.180870, epoch loss=4.959753
Epoch=5, step=7200, lr=0.170250, epoch loss=4.959753
Batch=59, step=7260, lr=0.170000, batch loss=0.220339, epoch loss=0.220339
Batch=119, step=7320, lr=0.169750, batch loss=0.184780, epoch loss=0.405119
Batch=179, step=7380, lr=0.169500, batch loss=0.194242, epoch loss=0.599361
Batch=239, step=7440, lr=0.169250, batch loss=0.292031, epoch loss=0.891391
Batch=299, step=7500, lr=0.169000, batch loss=0.205433, epoch loss=1.096824
Batch=359, step=7560, lr=0.168750, batch loss=0.265709, epoch loss=1.362533
Batch=419, step=7620, lr=0.168500, batch loss=0.257492, epoch loss=1.620025
Batch=479, step=7680, lr=0.168250, batch loss=0.235901, epoch loss=1.855926
Batch=539, step=7740, lr=0.168000, batch loss=0.189872, epoch loss=2.045798
Batch=599, step=7800, lr=0.167750, batch loss=0.229800, epoch loss=2.275598
Batch=659, step=7860, lr=0.167500, batch loss=0.307139, epoch loss=2.582737
Batch=719, step=7920, lr=0.167250, batch loss=0.306577, epoch loss=2.889314
Batch=779, step=7980, lr=0.167000, batch loss=0.323674, epoch loss=3.212989
Batch=839, step=8040, lr=0.166750, batch loss=0.295325, epoch loss=3.508314
Batch=899, step=8100, lr=0.166500, batch loss=0.258685, epoch loss=3.766999
Batch=959, step=8160, lr=0.166250, batch loss=0.209954, epoch loss=3.976953
Batch=1019, step=8220, lr=0.166000, batch loss=0.314191, epoch loss=4.291144
Batch=1079, step=8280, lr=0.165750, batch loss=0.170757, epoch loss=4.461901
Batch=1139, step=8340, lr=0.165500, batch loss=0.206624, epoch loss=4.668525
Batch=1199, step=8400, lr=0.165250, batch loss=0.177914, epoch loss=4.846439
Epoch=6, step=8400, lr=0.165250, epoch loss=4.846439
Batch=59, step=8460, lr=0.165000, batch loss=0.228525, epoch loss=0.228525
Batch=119, step=8520, lr=0.164750, batch loss=0.175767, epoch loss=0.404292
Batch=179, step=8580, lr=0.164500, batch loss=0.187819, epoch loss=0.592111
Batch=239, step=8640, lr=0.164250, batch loss=0.277811, epoch loss=0.869921
Batch=299, step=8700, lr=0.164000, batch loss=0.189743, epoch loss=1.059664
Batch=359, step=8760, lr=0.163750, batch loss=0.249874, epoch loss=1.309538
Batch=419, step=8820, lr=0.163500, batch loss=0.244466, epoch loss=1.554004
Batch=479, step=8880, lr=0.163250, batch loss=0.226834, epoch loss=1.780838
Batch=539, step=8940, lr=0.163000, batch loss=0.179565, epoch loss=1.960403
Batch=599, step=9000, lr=0.162750, batch loss=0.215484, epoch loss=2.175887
Batch=659, step=9060, lr=0.162500, batch loss=0.293588, epoch loss=2.469475
Batch=719, step=9120, lr=0.162250, batch loss=0.296407, epoch loss=2.765882
Batch=779, step=9180, lr=0.162000, batch loss=0.315058, epoch loss=3.080940
Batch=839, step=9240, lr=0.161750, batch loss=0.280849, epoch loss=3.361789
Batch=899, step=9300, lr=0.161500, batch loss=0.249839, epoch loss=3.611628
Batch=959, step=9360, lr=0.161250, batch loss=0.188825, epoch loss=3.800453
Batch=1019, step=9420, lr=0.161000, batch loss=0.316302, epoch loss=4.116755
Batch=1079, step=9480, lr=0.160750, batch loss=0.186577, epoch loss=4.303332
Batch=1139, step=9540, lr=0.160500, batch loss=0.212215, epoch loss=4.515546
Batch=1199, step=9600, lr=0.160250, batch loss=0.166650, epoch loss=4.682196
Epoch=7, step=9600, lr=0.160250, epoch loss=4.682196
Batch=59, step=9660, lr=0.160000, batch loss=0.210555, epoch loss=0.210555
Batch=119, step=9720, lr=0.159750, batch loss=0.170478, epoch loss=0.381032
Batch=179, step=9780, lr=0.159500, batch loss=0.179063, epoch loss=0.560095
Batch=239, step=9840, lr=0.159250, batch loss=0.260154, epoch loss=0.820249
Batch=299, step=9900, lr=0.159000, batch loss=0.186378, epoch loss=1.006627
Batch=359, step=9960, lr=0.158750, batch loss=0.238311, epoch loss=1.244938
Batch=419, step=10020, lr=0.158500, batch loss=0.233682, epoch loss=1.478620
Batch=479, step=10080, lr=0.158250, batch loss=0.219037, epoch loss=1.697657
Batch=539, step=10140, lr=0.158000, batch loss=0.169944, epoch loss=1.867602
Batch=599, step=10200, lr=0.157750, batch loss=0.201354, epoch loss=2.068955
Batch=659, step=10260, lr=0.157500, batch loss=0.281226, epoch loss=2.350182
Batch=719, step=10320, lr=0.157250, batch loss=0.285038, epoch loss=2.635220
Batch=779, step=10380, lr=0.157000, batch loss=0.294021, epoch loss=2.929241
Batch=839, step=10440, lr=0.156750, batch loss=0.272894, epoch loss=3.202135
Batch=899, step=10500, lr=0.156500, batch loss=0.234017, epoch loss=3.436151
Batch=959, step=10560, lr=0.156250, batch loss=0.181337, epoch loss=3.617488
Batch=1019, step=10620, lr=0.156000, batch loss=0.294942, epoch loss=3.912431
Batch=1079, step=10680, lr=0.155750, batch loss=0.179247, epoch loss=4.091677
Batch=1139, step=10740, lr=0.155500, batch loss=0.203637, epoch loss=4.295314
Batch=1199, step=10800, lr=0.155250, batch loss=0.153159, epoch loss=4.448473
Epoch=8, step=10800, lr=0.155250, epoch loss=4.448473
Batch=59, step=10860, lr=0.155000, batch loss=0.175180, epoch loss=0.175180
Batch=119, step=10920, lr=0.154750, batch loss=0.142951, epoch loss=0.318131
Batch=179, step=10980, lr=0.154500, batch loss=0.165372, epoch loss=0.483503
Batch=239, step=11040, lr=0.154250, batch loss=0.239697, epoch loss=0.723200
Batch=299, step=11100, lr=0.154000, batch loss=0.170548, epoch loss=0.893748
Batch=359, step=11160, lr=0.153750, batch loss=0.219231, epoch loss=1.112978
Batch=419, step=11220, lr=0.153500, batch loss=0.216485, epoch loss=1.329464
Batch=479, step=11280, lr=0.153250, batch loss=0.210129, epoch loss=1.539593
Batch=539, step=11340, lr=0.153000, batch loss=0.163245, epoch loss=1.702838
Batch=599, step=11400, lr=0.152750, batch loss=0.175195, epoch loss=1.878033
Batch=659, step=11460, lr=0.152500, batch loss=0.260294, epoch loss=2.138327
Batch=719, step=11520, lr=0.152250, batch loss=0.263341, epoch loss=2.401668
Batch=779, step=11580, lr=0.152000, batch loss=0.266365, epoch loss=2.668032
Batch=839, step=11640, lr=0.151750, batch loss=0.250671, epoch loss=2.918703
Batch=899, step=11700, lr=0.151500, batch loss=0.213868, epoch loss=3.132571
Batch=959, step=11760, lr=0.151250, batch loss=0.172992, epoch loss=3.305563
Batch=1019, step=11820, lr=0.151000, batch loss=0.266479, epoch loss=3.572042
Batch=1079, step=11880, lr=0.150750, batch loss=0.146929, epoch loss=3.718971
Batch=1139, step=11940, lr=0.150500, batch loss=0.185568, epoch loss=3.904538
Batch=1199, step=12000, lr=0.150250, batch loss=0.137551, epoch loss=4.042089
Epoch=9, step=12000, lr=0.150250, epoch loss=4.042089
Batch=59, step=12060, lr=0.150000, batch loss=0.160876, epoch loss=0.160876
Batch=119, step=12120, lr=0.149750, batch loss=0.134195, epoch loss=0.295071
Batch=179, step=12180, lr=0.149500, batch loss=0.149862, epoch loss=0.444933
Batch=239, step=12240, lr=0.149250, batch loss=0.218019, epoch loss=0.662952
Batch=299, step=12300, lr=0.149000, batch loss=0.137670, epoch loss=0.800623
Batch=359, step=12360, lr=0.148750, batch loss=0.194480, epoch loss=0.995103
Batch=419, step=12420, lr=0.148500, batch loss=0.205868, epoch loss=1.200971
Batch=479, step=12480, lr=0.148250, batch loss=0.174892, epoch loss=1.375862
Batch=539, step=12540, lr=0.148000, batch loss=0.141324, epoch loss=1.517187
Batch=599, step=12600, lr=0.147750, batch loss=0.145973, epoch loss=1.663159
Batch=659, step=12660, lr=0.147500, batch loss=0.216034, epoch loss=1.879193
Batch=719, step=12720, lr=0.147250, batch loss=0.213135, epoch loss=2.092328
Batch=779, step=12780, lr=0.147000, batch loss=0.232327, epoch loss=2.324655
Batch=839, step=12840, lr=0.146500, batch loss=0.221542, epoch loss=2.546197
Batch=899, step=12900, lr=0.146500, batch loss=0.188644, epoch loss=2.734841
Batch=959, step=12960, lr=0.146250, batch loss=0.166746, epoch loss=2.901587
Batch=1019, step=13020, lr=0.146000, batch loss=0.269312, epoch loss=3.170899
Batch=1079, step=13080, lr=0.145750, batch loss=0.112265, epoch loss=3.283165
Batch=1139, step=13140, lr=0.145250, batch loss=0.154251, epoch loss=3.437416
Batch=1199, step=13200, lr=0.145250, batch loss=0.115279, epoch loss=3.552695
Epoch=10, step=13200, lr=0.145250, epoch loss=3.552695
Batch=59, step=13260, lr=0.145000, batch loss=0.141819, epoch loss=0.141819
Batch=119, step=13320, lr=0.144750, batch loss=0.124283, epoch loss=0.266102
Batch=179, step=13380, lr=0.144500, batch loss=0.126570, epoch loss=0.392672
Batch=239, step=13440, lr=0.144250, batch loss=0.188665, epoch loss=0.581337
Batch=299, step=13500, lr=0.144000, batch loss=0.114103, epoch loss=0.695440
Batch=359, step=13560, lr=0.143750, batch loss=0.155439, epoch loss=0.850879
Batch=419, step=13620, lr=0.143500, batch loss=0.153129, epoch loss=1.004008
Batch=479, step=13680, lr=0.143250, batch loss=0.138215, epoch loss=1.142222
Batch=539, step=13740, lr=0.143000, batch loss=0.118319, epoch loss=1.260542
Batch=599, step=13800, lr=0.142750, batch loss=0.116645, epoch loss=1.377186
Batch=659, step=13860, lr=0.142500, batch loss=0.171707, epoch loss=1.548893
Batch=719, step=13920, lr=0.142250, batch loss=0.171159, epoch loss=1.720052
Batch=779, step=13980, lr=0.142000, batch loss=0.192490, epoch loss=1.912542
Batch=839, step=14040, lr=0.141750, batch loss=0.201641, epoch loss=2.114183
Batch=899, step=14100, lr=0.141500, batch loss=0.220921, epoch loss=2.335105
Batch=959, step=14160, lr=0.141250, batch loss=0.102209, epoch loss=2.437314
Batch=1019, step=14220, lr=0.140750, batch loss=0.190572, epoch loss=2.627886
Batch=1079, step=14280, lr=0.140750, batch loss=0.077984, epoch loss=2.705870
Batch=1139, step=14340, lr=0.140500, batch loss=0.129789, epoch loss=2.835660
Batch=1199, step=14400, lr=0.140000, batch loss=0.085242, epoch loss=2.920902
Epoch=11, step=14400, lr=0.140000, epoch loss=2.920902
Batch=59, step=14460, lr=0.140000, batch loss=0.109774, epoch loss=0.109774
Batch=119, step=14520, lr=0.139750, batch loss=0.106256, epoch loss=0.216030
Batch=179, step=14580, lr=0.139500, batch loss=0.100434, epoch loss=0.316464
Batch=239, step=14640, lr=0.139250, batch loss=0.134290, epoch loss=0.450754
Batch=299, step=14700, lr=0.139000, batch loss=0.075494, epoch loss=0.526248
Batch=359, step=14760, lr=0.138750, batch loss=0.125813, epoch loss=0.652061
Batch=419, step=14820, lr=0.138500, batch loss=0.156470, epoch loss=0.808532
Batch=479, step=14880, lr=0.138250, batch loss=0.081691, epoch loss=0.890223
Batch=539, step=14940, lr=0.138000, batch loss=0.066167, epoch loss=0.956390
Batch=599, step=15000, lr=0.137750, batch loss=0.097223, epoch loss=1.053613
Batch=659, step=15060, lr=0.137500, batch loss=0.201540, epoch loss=1.255152
Batch=719, step=15120, lr=0.137250, batch loss=0.114305, epoch loss=1.369458
Batch=779, step=15180, lr=0.137000, batch loss=0.132722, epoch loss=1.502180
Batch=839, step=15240, lr=0.136750, batch loss=0.157133, epoch loss=1.659313
Batch=899, step=15300, lr=0.136500, batch loss=0.289179, epoch loss=1.948491
Batch=959, step=15360, lr=0.136250, batch loss=0.056207, epoch loss=2.004699
Batch=1019, step=15420, lr=0.136000, batch loss=0.132208, epoch loss=2.136907
Batch=1079, step=15480, lr=0.135500, batch loss=0.040673, epoch loss=2.177580
Batch=1139, step=15540, lr=0.135500, batch loss=0.094374, epoch loss=2.271954
Batch=1199, step=15600, lr=0.135250, batch loss=0.058401, epoch loss=2.330355
Epoch=12, step=15600, lr=0.135250, epoch loss=2.330355
Batch=59, step=15660, lr=0.135000, batch loss=0.065284, epoch loss=0.065284
Batch=119, step=15720, lr=0.134750, batch loss=0.081968, epoch loss=0.147253
Batch=179, step=15780, lr=0.134500, batch loss=0.075314, epoch loss=0.222567
Batch=239, step=15840, lr=0.134250, batch loss=0.090399, epoch loss=0.312966
Batch=299, step=15900, lr=0.134000, batch loss=0.093362, epoch loss=0.406328
Batch=359, step=15960, lr=0.133750, batch loss=0.083273, epoch loss=0.489601
Batch=419, step=16020, lr=0.133500, batch loss=0.102571, epoch loss=0.592172
Batch=479, step=16080, lr=0.133250, batch loss=0.047952, epoch loss=0.640124
Batch=539, step=16140, lr=0.133000, batch loss=0.059205, epoch loss=0.699329
Batch=599, step=16200, lr=0.132750, batch loss=0.052055, epoch loss=0.751384
Batch=659, step=16260, lr=0.132500, batch loss=0.072461, epoch loss=0.823845
Batch=719, step=16320, lr=0.132250, batch loss=0.070753, epoch loss=0.894598
Batch=779, step=16380, lr=0.132000, batch loss=0.077344, epoch loss=0.971941
Batch=839, step=16440, lr=0.131750, batch loss=0.099614, epoch loss=1.071555
Batch=899, step=16500, lr=0.131500, batch loss=0.159069, epoch loss=1.230625
Batch=959, step=16560, lr=0.131250, batch loss=0.043926, epoch loss=1.274550
Batch=1019, step=16620, lr=0.131000, batch loss=0.098734, epoch loss=1.373284
Batch=1079, step=16680, lr=0.130750, batch loss=0.033960, epoch loss=1.407244
Batch=1139, step=16740, lr=0.130500, batch loss=0.071426, epoch loss=1.478670
Batch=1199, step=16800, lr=0.130250, batch loss=0.032045, epoch loss=1.510715
Epoch=13, step=16800, lr=0.130250, epoch loss=1.510715
Batch=59, step=16860, lr=0.130000, batch loss=0.030705, epoch loss=0.030705
Batch=119, step=16920, lr=0.129750, batch loss=0.032867, epoch loss=0.063572
Batch=179, step=16980, lr=0.129500, batch loss=0.039634, epoch loss=0.103205
Batch=239, step=17040, lr=0.129250, batch loss=0.051198, epoch loss=0.154403
Batch=299, step=17100, lr=0.129000, batch loss=0.016453, epoch loss=0.170856
Batch=359, step=17160, lr=0.128750, batch loss=0.038960, epoch loss=0.209816
Batch=419, step=17220, lr=0.128500, batch loss=0.046048, epoch loss=0.255864
Batch=479, step=17280, lr=0.128250, batch loss=0.031778, epoch loss=0.287642
Batch=539, step=17340, lr=0.128000, batch loss=0.057210, epoch loss=0.344852
Batch=599, step=17400, lr=0.127750, batch loss=0.032741, epoch loss=0.377594
Batch=659, step=17460, lr=0.127500, batch loss=0.044419, epoch loss=0.422013
Batch=719, step=17520, lr=0.127250, batch loss=0.051450, epoch loss=0.473462
Batch=779, step=17580, lr=0.127000, batch loss=0.134229, epoch loss=0.607691
Batch=839, step=17640, lr=0.126750, batch loss=0.103106, epoch loss=0.710797
Batch=899, step=17700, lr=0.126500, batch loss=0.150789, epoch loss=0.861586
Batch=959, step=17760, lr=0.126250, batch loss=0.018867, epoch loss=0.880453
Batch=1019, step=17820, lr=0.126000, batch loss=0.029933, epoch loss=0.910386
Batch=1079, step=17880, lr=0.125750, batch loss=0.011247, epoch loss=0.921634
Batch=1139, step=17940, lr=0.125500, batch loss=0.033720, epoch loss=0.955354
Batch=1199, step=18000, lr=0.125250, batch loss=0.014756, epoch loss=0.970110
Epoch=14, step=18000, lr=0.125250, epoch loss=0.970110
Batch=59, step=18060, lr=0.125000, batch loss=0.011887, epoch loss=0.011887
Batch=119, step=18120, lr=0.124750, batch loss=0.033509, epoch loss=0.045395
Batch=179, step=18180, lr=0.124500, batch loss=0.093578, epoch loss=0.138973
Batch=239, step=18240, lr=0.124250, batch loss=0.045254, epoch loss=0.184227
Batch=299, step=18300, lr=0.124000, batch loss=0.009142, epoch loss=0.193369
Batch=359, step=18360, lr=0.123750, batch loss=0.026553, epoch loss=0.219922
Batch=419, step=18420, lr=0.123500, batch loss=0.027221, epoch loss=0.247143
Batch=479, step=18480, lr=0.123250, batch loss=0.010219, epoch loss=0.257363
Batch=539, step=18540, lr=0.123000, batch loss=0.019138, epoch loss=0.276500
Batch=599, step=18600, lr=0.122750, batch loss=0.024897, epoch loss=0.301397
Batch=659, step=18660, lr=0.122500, batch loss=0.024530, epoch loss=0.325928
Batch=719, step=18720, lr=0.122250, batch loss=0.050892, epoch loss=0.376820
Batch=779, step=18780, lr=0.122000, batch loss=0.091207, epoch loss=0.468026
Batch=839, step=18840, lr=0.121750, batch loss=0.049559, epoch loss=0.517585
Batch=899, step=18900, lr=0.121500, batch loss=0.047969, epoch loss=0.565554
Batch=959, step=18960, lr=0.121250, batch loss=0.013585, epoch loss=0.579140
Batch=1019, step=19020, lr=0.121000, batch loss=0.021307, epoch loss=0.600447
Batch=1079, step=19080, lr=0.120750, batch loss=0.010276, epoch loss=0.610723
Batch=1139, step=19140, lr=0.120500, batch loss=0.022441, epoch loss=0.633164
Batch=1199, step=19200, lr=0.120250, batch loss=0.008373, epoch loss=0.641536
Epoch=15, step=19200, lr=0.120250, epoch loss=0.641536
Batch=59, step=19260, lr=0.120000, batch loss=0.004217, epoch loss=0.004217
Batch=119, step=19320, lr=0.119750, batch loss=0.013480, epoch loss=0.017697
Batch=179, step=19380, lr=0.119500, batch loss=0.030233, epoch loss=0.047930
Batch=239, step=19440, lr=0.119250, batch loss=0.021858, epoch loss=0.069788
Batch=299, step=19500, lr=0.119000, batch loss=0.007025, epoch loss=0.076813
Batch=359, step=19560, lr=0.118750, batch loss=0.016459, epoch loss=0.093272
Batch=419, step=19620, lr=0.118500, batch loss=0.019663, epoch loss=0.112935
Batch=479, step=19680, lr=0.118250, batch loss=0.006284, epoch loss=0.119219
Batch=539, step=19740, lr=0.118000, batch loss=0.016254, epoch loss=0.135473
Batch=599, step=19800, lr=0.117750, batch loss=0.022123, epoch loss=0.157596
Batch=659, step=19860, lr=0.117500, batch loss=0.018169, epoch loss=0.175765
Batch=719, step=19920, lr=0.117250, batch loss=0.039175, epoch loss=0.214940
Batch=779, step=19980, lr=0.117000, batch loss=0.078168, epoch loss=0.293109
Batch=839, step=20040, lr=0.116750, batch loss=0.031656, epoch loss=0.324765
Batch=899, step=20100, lr=0.116500, batch loss=0.027401, epoch loss=0.352166
Batch=959, step=20160, lr=0.116250, batch loss=0.016971, epoch loss=0.369138
Batch=1019, step=20220, lr=0.116000, batch loss=0.026641, epoch loss=0.395779
Batch=1079, step=20280, lr=0.115750, batch loss=0.002766, epoch loss=0.398545
Batch=1139, step=20340, lr=0.115500, batch loss=0.014815, epoch loss=0.413360
Batch=1199, step=20400, lr=0.115250, batch loss=0.006131, epoch loss=0.419491
Epoch=16, step=20400, lr=0.115250, epoch loss=0.419491
Batch=59, step=20460, lr=0.115000, batch loss=0.003954, epoch loss=0.003954
Batch=119, step=20520, lr=0.114750, batch loss=0.011235, epoch loss=0.015189
Batch=179, step=20580, lr=0.114500, batch loss=0.025330, epoch loss=0.040519
Batch=239, step=20640, lr=0.114250, batch loss=0.013549, epoch loss=0.054068
Batch=299, step=20700, lr=0.114000, batch loss=0.002672, epoch loss=0.056740
Batch=359, step=20760, lr=0.113750, batch loss=0.012600, epoch loss=0.069340
Batch=419, step=20820, lr=0.113500, batch loss=0.013451, epoch loss=0.082791
Batch=479, step=20880, lr=0.113250, batch loss=0.004395, epoch loss=0.087186
Batch=539, step=20940, lr=0.113000, batch loss=0.015684, epoch loss=0.102870
Batch=599, step=21000, lr=0.112750, batch loss=0.017490, epoch loss=0.120360
Batch=659, step=21060, lr=0.112500, batch loss=0.014973, epoch loss=0.135333
Batch=719, step=21120, lr=0.112250, batch loss=0.043265, epoch loss=0.178598
Batch=779, step=21180, lr=0.112000, batch loss=0.063389, epoch loss=0.241987
Batch=839, step=21240, lr=0.111750, batch loss=0.024111, epoch loss=0.266098
Batch=899, step=21300, lr=0.111500, batch loss=0.028088, epoch loss=0.294186
Batch=959, step=21360, lr=0.111250, batch loss=0.010084, epoch loss=0.304270
Batch=1019, step=21420, lr=0.111000, batch loss=0.009301, epoch loss=0.313571
Batch=1079, step=21480, lr=0.110750, batch loss=0.000861, epoch loss=0.314432
Batch=1139, step=21540, lr=0.110500, batch loss=0.012943, epoch loss=0.327375
Batch=1199, step=21600, lr=0.110250, batch loss=0.005191, epoch loss=0.332567
Epoch=17, step=21600, lr=0.110250, epoch loss=0.332567
Batch=59, step=21660, lr=0.110000, batch loss=0.002577, epoch loss=0.002577
Batch=119, step=21720, lr=0.109750, batch loss=0.006375, epoch loss=0.008952
Batch=179, step=21780, lr=0.109500, batch loss=0.012699, epoch loss=0.021651
Batch=239, step=21840, lr=0.109250, batch loss=0.009069, epoch loss=0.030721
Batch=299, step=21900, lr=0.109000, batch loss=0.004531, epoch loss=0.035251
Batch=359, step=21960, lr=0.108750, batch loss=0.013451, epoch loss=0.048703
Batch=419, step=22020, lr=0.108500, batch loss=0.011714, epoch loss=0.060417
Batch=479, step=22080, lr=0.108250, batch loss=0.003156, epoch loss=0.063573
Batch=539, step=22140, lr=0.108000, batch loss=0.017742, epoch loss=0.081315
Batch=599, step=22200, lr=0.107750, batch loss=0.016836, epoch loss=0.098151
Batch=659, step=22260, lr=0.107500, batch loss=0.015802, epoch loss=0.113953
Batch=719, step=22320, lr=0.107250, batch loss=0.023093, epoch loss=0.137046
Batch=779, step=22380, lr=0.107000, batch loss=0.029188, epoch loss=0.166234
Batch=839, step=22440, lr=0.106750, batch loss=0.029088, epoch loss=0.195322
Batch=899, step=22500, lr=0.106500, batch loss=0.023210, epoch loss=0.218532
Batch=959, step=22560, lr=0.106250, batch loss=0.008719, epoch loss=0.227251
Batch=1019, step=22620, lr=0.106000, batch loss=0.008024, epoch loss=0.235275
Batch=1079, step=22680, lr=0.105750, batch loss=0.001791, epoch loss=0.237066
Batch=1139, step=22740, lr=0.105500, batch loss=0.009363, epoch loss=0.246429
Batch=1199, step=22800, lr=0.105250, batch loss=0.005336, epoch loss=0.251765
Epoch=18, step=22800, lr=0.105250, epoch loss=0.251765
Batch=59, step=22860, lr=0.105000, batch loss=0.002315, epoch loss=0.002315
Batch=119, step=22920, lr=0.104750, batch loss=0.004541, epoch loss=0.006856
Batch=179, step=22980, lr=0.104500, batch loss=0.012088, epoch loss=0.018944
Batch=239, step=23040, lr=0.104250, batch loss=0.008392, epoch loss=0.027336
Batch=299, step=23100, lr=0.104000, batch loss=0.004691, epoch loss=0.032027
Batch=359, step=23160, lr=0.103750, batch loss=0.011613, epoch loss=0.043640
Batch=419, step=23220, lr=0.103250, batch loss=0.010605, epoch loss=0.054245
Batch=479, step=23280, lr=0.103250, batch loss=0.003010, epoch loss=0.057254
Batch=539, step=23340, lr=0.103000, batch loss=0.016790, epoch loss=0.074044
Batch=599, step=23400, lr=0.102750, batch loss=0.013053, epoch loss=0.087097
Batch=659, step=23460, lr=0.102500, batch loss=0.011169, epoch loss=0.098266
Batch=719, step=23520, lr=0.102250, batch loss=0.012784, epoch loss=0.111050
Batch=779, step=23580, lr=0.102000, batch loss=0.020446, epoch loss=0.131496
Batch=839, step=23640, lr=0.101750, batch loss=0.024833, epoch loss=0.156329
Batch=899, step=23700, lr=0.101500, batch loss=0.022253, epoch loss=0.178581
Batch=959, step=23760, lr=0.101250, batch loss=0.008130, epoch loss=0.186711
Batch=1019, step=23820, lr=0.101000, batch loss=0.008585, epoch loss=0.195296
Batch=1079, step=23880, lr=0.100750, batch loss=0.001594, epoch loss=0.196890
Batch=1139, step=23940, lr=0.100500, batch loss=0.008023, epoch loss=0.204914
Batch=1199, step=24000, lr=0.100250, batch loss=0.004621, epoch loss=0.209534
Epoch=19, step=24000, lr=0.100250, epoch loss=0.209534


Half-moons scatterplot and decision boundary:
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"/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1
2025-05-20 18:59.57: Job failed: Failed: Build failed