alpine-3.21-5.3_opam-2.3

2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (linux-x86_64:alpine-3.21-5.3_opam-2.3)
Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:4ae4f6e361088eb06bab0beb78c7db535e8b7a689cca4c4dd76add4242c4dab0
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 451f36ee
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:4ae4f6e361088eb06bab0beb78c7db535e8b7a689cca4c4dd76add4242c4dab0
# 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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


END-OF-DOCKERFILE
docker build .
END-REPRO-BLOCK


2025-03-20 22:51.40: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:4ae4f6e361088eb06bab0beb78c7db535e8b7a689cca4c4dd76add4242c4dab0-alpine-3.21-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-20 22:51.40: Using OBuilder spec:
((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:4ae4f6e361088eb06bab0beb78c7db535e8b7a689cca4c4dd76add4242c4dab0)
(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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-20 22:51.40: Waiting for resource in pool OCluster
2025-03-20 22:51.40: Waiting for worker…
2025-03-20 22:51.42: Got resource from pool OCluster
Building on asteria.caelum.ci.dev
All commits already cached
HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:4ae4f6e361088eb06bab0beb78c7db535e8b7a689cca4c4dd76add4242c4dab0)
2025-03-20 22:51.44 ---> using "dacbb842f0a2d29eaad3e832c76ea718382fa9cd05776a3fdb8016e465aa5e7b" from cache


/: (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"))
2025-03-20 22:51.44 ---> using "4d575331d18a103bb0cc6f4a0dd61826f91da9419ba321b0b1320c4ec539b0db" 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 ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-20 22:51.44 ---> using "6937929ef5611e557c4991cd8189eebf46058c4ee81139f68d15319429555db6" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-03-20 22:51.44 ---> using "bb90a277fb48150bfb58577b4b61ca2e911fa7d8ff44939da041b865bac9afe8" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:51.44 ---> using "dc9101c084e576ab6dcbeea601d2b330166d0d274d8fdcaf9cff106e658a7bf6" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
862a7640b1..6cf83229dd  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive
[default] synchronised from file:///home/opam/opam-repository


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:51.44 ---> using "746fbb62527431fddf1e025894b82c1bcf0d23e4b907494eb6fa8ff4f5667dbb" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:51.44 ---> using "0fda56c50f94acc8076c1938dcc63d2cf437304e0ebc7bc9ffa0862b14ba29cb" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-20 22:51.44 ---> using "189ebad2a0b57bb896db3f938290f0b71b7afa6755777d620d1deb6f23a61aaa" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:51.44 ---> using "41e1aa8d4c8718f6fa9eca8319e39ceafea6113098eef042d7f1a053e76b7e91" from cache


/src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "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
- v3.21.3-193-g2da8f1a642c [https://dl-cdn.alpinelinux.org/alpine/v3.21/main]
- v3.21.3-194-g25fc289152f [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v20250108-4318-g3d9c1aad998 [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v20250108-4328-gbd32d9239d0 [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v20250108-3887-g4037a56c69f [https://dl-cdn.alpinelinux.org/alpine/edge/testing]
- OK: 57226 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
2025-03-20 22:51.44 ---> using "ce6980b534df263abf656a5a140a260b33cee55483b143478efd6c02a3694176" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 65 packages
- install angstrom                0.16.1
- install backoff                 0.1.1
- install base                    v0.17.1
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install conf-libffi             2.0.0
- install conf-pkg-config         4
- install cppo                    1.8.0
- install csexp                   1.5.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.17.2
- install dune-configurator       3.17.2
- install fieldslib               v0.17.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install mtime                   2.1.0
- install multicore-magic         2.3.1
- install num                     1.5-1
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.1.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (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 saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed 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 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_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed variantslib.v0.17.0
-> installed fieldslib.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.2.1.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:51.44 ---> using "3f87e6347972f62058b086385de718660334101fcb30eaa774491c4f4678c917" from cache


/src: (copy (src .) (dst /src))
2025-03-20 22:51.45 ---> saved as "868f7bbf07e4813307c6d83b2ddfd2f1ac038df749248435fe7a85cd9f194a34"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(cd _build/default/test_ppx && ./test_ppx_op.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test_ppx && ./test_ppx_op_expected.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/c6cbf4324058d8039c97a83d2d43d729/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/46d7b9da0480f9584f6a97a75354c761/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/46d7b9da0480f9584f6a97a75354c761/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
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=0.196500, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382737, epoch loss=43.790422
Batch=959, step=960, lr=0.196000, batch loss=0.245113, epoch loss=44.035535
Batch=1019, step=1020, lr=0.196000, batch loss=0.466419, epoch loss=44.501954
Batch=1079, step=1080, lr=0.195500, batch loss=0.248916, epoch loss=44.750870
Batch=1139, step=1140, lr=0.195500, batch loss=0.317190, epoch loss=45.068060
Batch=1199, step=1200, lr=0.195250, batch loss=0.263812, epoch loss=45.331872
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331872
Batch=59, step=1260, lr=0.195000, batch loss=0.262240, epoch loss=0.262240
Batch=119, step=1320, lr=0.194750, batch loss=0.205163, epoch loss=0.467403
Batch=179, step=1380, lr=0.194500, batch loss=0.243656, epoch loss=0.711059
Batch=239, step=1440, lr=0.194250, batch loss=0.347980, epoch loss=1.059039
Batch=299, step=1500, lr=0.194000, batch loss=0.247245, epoch loss=1.306284
Batch=359, step=1560, lr=0.193750, batch loss=0.316731, epoch loss=1.623015
Batch=419, step=1620, lr=0.193500, batch loss=0.312595, epoch loss=1.935610
Batch=479, step=1680, lr=0.193250, batch loss=0.276373, epoch loss=2.211983
Batch=539, step=1740, lr=0.193000, batch loss=0.209734, epoch loss=2.421718
Batch=599, step=1800, lr=0.192750, batch loss=0.250657, epoch loss=2.672374
Batch=659, step=1860, lr=0.192500, batch loss=0.366997, epoch loss=3.039371
Batch=719, step=1920, lr=0.192250, batch loss=0.355112, epoch loss=3.394483
Batch=779, step=1980, lr=0.192000, batch loss=0.381188, epoch loss=3.775671
Batch=839, step=2040, lr=0.191750, batch loss=0.339665, epoch loss=4.115335
Batch=899, step=2100, lr=0.191500, batch loss=0.295216, epoch loss=4.410552
Batch=959, step=2160, lr=0.191250, batch loss=0.214187, epoch loss=4.624739
Batch=1019, step=2220, lr=0.191000, batch loss=0.330579, epoch loss=4.955318
Batch=1079, step=2280, lr=0.190750, batch loss=0.208780, epoch loss=5.164098
Batch=1139, step=2340, lr=0.190500, batch loss=0.277927, epoch loss=5.442025
Batch=1199, step=2400, lr=0.190250, batch loss=0.220973, epoch loss=5.662998
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662998
Batch=59, step=2460, lr=0.190000, batch loss=0.230561, epoch loss=0.230561
Batch=119, step=2520, lr=0.189750, batch loss=0.195749, epoch loss=0.426310
Batch=179, step=2580, lr=0.189500, batch loss=0.221224, epoch loss=0.647534
Batch=239, step=2640, lr=0.189250, batch loss=0.328056, epoch loss=0.975590
Batch=299, step=2700, lr=0.189000, batch loss=0.202817, epoch loss=1.178407
Batch=359, step=2760, lr=0.188750, batch loss=0.288347, epoch loss=1.466754
Batch=419, step=2820, lr=0.188500, batch loss=0.280187, epoch loss=1.746941
Batch=479, step=2880, lr=0.188250, batch loss=0.251430, epoch loss=1.998371
Batch=539, step=2940, lr=0.188000, batch loss=0.191283, epoch loss=2.189654
Batch=599, step=3000, lr=0.187750, batch loss=0.224171, epoch loss=2.413825
Batch=659, step=3060, lr=0.187500, batch loss=0.330795, epoch loss=2.744620
Batch=719, step=3120, lr=0.187250, batch loss=0.333662, epoch loss=3.078282
Batch=779, step=3180, lr=0.187000, batch loss=0.354736, epoch loss=3.433017
Batch=839, step=3240, lr=0.186750, batch loss=0.327652, epoch loss=3.760669
Batch=899, step=3300, lr=0.186500, batch loss=0.296017, epoch loss=4.056686
Batch=959, step=3360, lr=0.186250, batch loss=0.239907, epoch loss=4.296593
Batch=1019, step=3420, lr=0.186000, batch loss=0.352238, epoch loss=4.648832
Batch=1079, step=3480, lr=0.185750, batch loss=0.232268, epoch loss=4.881100
Batch=1139, step=3540, lr=0.185500, batch loss=0.263540, epoch loss=5.144640
Batch=1199, step=3600, lr=0.185250, batch loss=0.199702, epoch loss=5.344342
Epoch=2, step=3600, lr=0.185250, epoch loss=5.344342
Batch=59, step=3660, lr=0.185000, batch loss=0.221528, epoch loss=0.221528
Batch=119, step=3720, lr=0.184750, batch loss=0.184385, epoch loss=0.405913
Batch=179, step=3780, lr=0.184500, batch loss=0.210689, epoch loss=0.616602
Batch=239, step=3840, lr=0.184000, batch loss=0.314987, epoch loss=0.931589
Batch=299, step=3900, lr=0.184000, batch loss=0.202868, epoch loss=1.134457
Batch=359, step=3960, lr=0.183750, batch loss=0.281596, epoch loss=1.416053
Batch=419, step=4020, lr=0.183500, batch loss=0.271305, epoch loss=1.687358
Batch=479, step=4080, lr=0.183250, batch loss=0.245680, epoch loss=1.933038
Batch=539, step=4140, lr=0.183000, batch loss=0.193817, epoch loss=2.126855
Batch=599, step=4200, lr=0.182750, batch loss=0.234465, epoch loss=2.361320
Batch=659, step=4260, lr=0.182500, batch loss=0.332879, epoch loss=2.694200
Batch=719, step=4320, lr=0.182250, batch loss=0.341800, epoch loss=3.035999
Batch=779, step=4380, lr=0.182000, batch loss=0.350787, epoch loss=3.386787
Batch=839, step=4440, lr=0.181750, batch loss=0.317498, epoch loss=3.704285
Batch=899, step=4500, lr=0.181500, batch loss=0.291795, epoch loss=3.996080
Batch=959, step=4560, lr=0.181250, batch loss=0.243327, epoch loss=4.239407
Batch=1019, step=4620, lr=0.181000, batch loss=0.347395, epoch loss=4.586802
Batch=1079, step=4680, lr=0.180750, batch loss=0.215392, epoch loss=4.802193
Batch=1139, step=4740, lr=0.180500, batch loss=0.247027, epoch loss=5.049220
Batch=1199, step=4800, lr=0.180250, batch loss=0.191435, epoch loss=5.240655
Epoch=3, step=4800, lr=0.180250, epoch loss=5.240655
Batch=59, step=4860, lr=0.180000, batch loss=0.230668, epoch loss=0.230668
Batch=119, step=4920, lr=0.179750, batch loss=0.187811, epoch loss=0.418480
Batch=179, step=4980, lr=0.179500, batch loss=0.205739, epoch loss=0.624219
Batch=239, step=5040, lr=0.179000, batch loss=0.309723, epoch loss=0.933942
Batch=299, step=5100, lr=0.179000, batch loss=0.211022, epoch loss=1.144964
Batch=359, step=5160, lr=0.178750, batch loss=0.282445, epoch loss=1.427409
Batch=419, step=5220, lr=0.178500, batch loss=0.276812, epoch loss=1.704220
Batch=479, step=5280, lr=0.178250, batch loss=0.244612, epoch loss=1.948832
Batch=539, step=5340, lr=0.178000, batch loss=0.189688, epoch loss=2.138520
Batch=599, step=5400, lr=0.177750, batch loss=0.230360, epoch loss=2.368881
Batch=659, step=5460, lr=0.177500, batch loss=0.322392, epoch loss=2.691272
Batch=719, step=5520, lr=0.177250, batch loss=0.322456, epoch loss=3.013729
Batch=779, step=5580, lr=0.177000, batch loss=0.339965, epoch loss=3.353694
Batch=839, step=5640, lr=0.176750, batch loss=0.312445, epoch loss=3.666139
Batch=899, step=5700, lr=0.176500, batch loss=0.275170, epoch loss=3.941308
Batch=959, step=5760, lr=0.176250, batch loss=0.211292, epoch loss=4.152600
Batch=1019, step=5820, lr=0.176000, batch loss=0.336655, epoch loss=4.489255
Batch=1079, step=5880, lr=0.175750, batch loss=0.189431, epoch loss=4.678686
Batch=1139, step=5940, lr=0.175500, batch loss=0.221329, epoch loss=4.900015
Batch=1199, step=6000, lr=0.175250, batch loss=0.187108, epoch loss=5.087123
Epoch=4, step=6000, lr=0.175250, epoch loss=5.087123
Batch=59, step=6060, lr=0.175000, batch loss=0.237448, epoch loss=0.237448
Batch=119, step=6120, lr=0.174750, batch loss=0.189283, epoch loss=0.426730
Batch=179, step=6180, lr=0.174500, batch loss=0.201325, epoch loss=0.628056
Batch=239, step=6240, lr=0.174250, batch loss=0.299571, epoch loss=0.927627
Batch=299, step=6300, lr=0.173750, batch loss=0.205909, epoch loss=1.133536
Batch=359, step=6360, lr=0.173750, batch loss=0.264226, epoch loss=1.397762
Batch=419, step=6420, lr=0.173500, batch loss=0.258864, epoch loss=1.656626
Batch=479, step=6480, lr=0.173000, batch loss=0.235288, epoch loss=1.891914
Batch=539, step=6540, lr=0.173000, batch loss=0.188774, epoch loss=2.080688
Batch=599, step=6600, lr=0.172750, batch loss=0.225206, epoch loss=2.305894
Batch=659, step=6660, lr=0.172500, batch loss=0.316393, epoch loss=2.622287
Batch=719, step=6720, lr=0.172250, batch loss=0.314541, epoch loss=2.936828
Batch=779, step=6780, lr=0.172000, batch loss=0.332106, epoch loss=3.268934
Batch=839, step=6840, lr=0.171750, batch loss=0.304175, epoch loss=3.573109
Batch=899, step=6900, lr=0.171500, batch loss=0.266628, epoch loss=3.839737
Batch=959, step=6960, lr=0.171250, batch loss=0.209450, epoch loss=4.049187
Batch=1019, step=7020, lr=0.171000, batch loss=0.327530, epoch loss=4.376717
Batch=1079, step=7080, lr=0.170750, batch loss=0.174585, epoch loss=4.551302
Batch=1139, step=7140, lr=0.170250, batch loss=0.212483, epoch loss=4.763785
Batch=1199, step=7200, lr=0.170000, batch loss=0.189989, epoch loss=4.953775
Epoch=5, step=7200, lr=0.170000, epoch loss=4.953775
Batch=59, step=7260, lr=0.170000, batch loss=0.225962, epoch loss=0.225962
Batch=119, step=7320, lr=0.169750, batch loss=0.189221, epoch loss=0.415183
Batch=179, step=7380, lr=0.169500, batch loss=0.194048, epoch loss=0.609231
Batch=239, step=7440, lr=0.169250, batch loss=0.290545, epoch loss=0.899776
Batch=299, step=7500, lr=0.168750, batch loss=0.206891, epoch loss=1.106667
Batch=359, step=7560, lr=0.168750, batch loss=0.261504, epoch loss=1.368170
Batch=419, step=7620, lr=0.168500, batch loss=0.253070, epoch loss=1.621240
Batch=479, step=7680, lr=0.168250, batch loss=0.231858, epoch loss=1.853098
Batch=539, step=7740, lr=0.168000, batch loss=0.192668, epoch loss=2.045766
Batch=599, step=7800, lr=0.167750, batch loss=0.225588, epoch loss=2.271355
Batch=659, step=7860, lr=0.167500, batch loss=0.305591, epoch loss=2.576946
Batch=719, step=7920, lr=0.167250, batch loss=0.309311, epoch loss=2.886257
Batch=779, step=7980, lr=0.167000, batch loss=0.330075, epoch loss=3.216333
Batch=839, step=8040, lr=0.166750, batch loss=0.291556, epoch loss=3.507888
Batch=899, step=8100, lr=0.166500, batch loss=0.263779, epoch loss=3.771668
Batch=959, step=8160, lr=0.166250, batch loss=0.220954, epoch loss=3.992622
Batch=1019, step=8220, lr=0.166000, batch loss=0.312205, epoch loss=4.304827
Batch=1079, step=8280, lr=0.165750, batch loss=0.177174, epoch loss=4.482002
Batch=1139, step=8340, lr=0.165500, batch loss=0.208834, epoch loss=4.690836
Batch=1199, step=8400, lr=0.165250, batch loss=0.177055, epoch loss=4.867891
Epoch=6, step=8400, lr=0.165250, epoch loss=4.867891
Batch=59, step=8460, lr=0.165000, batch loss=0.230099, epoch loss=0.230099
Batch=119, step=8520, lr=0.164750, batch loss=0.173835, epoch loss=0.403933
Batch=179, step=8580, lr=0.164500, batch loss=0.186910, epoch loss=0.590844
Batch=239, step=8640, lr=0.164250, batch loss=0.276287, epoch loss=0.867130
Batch=299, step=8700, lr=0.164000, batch loss=0.192653, epoch loss=1.059784
Batch=359, step=8760, lr=0.163750, batch loss=0.249320, epoch loss=1.309104
Batch=419, step=8820, lr=0.163500, batch loss=0.243236, epoch loss=1.552340
Batch=479, step=8880, lr=0.163250, batch loss=0.229672, epoch loss=1.782012
Batch=539, step=8940, lr=0.163000, batch loss=0.176594, epoch loss=1.958606
Batch=599, step=9000, lr=0.162750, batch loss=0.219788, epoch loss=2.178394
Batch=659, step=9060, lr=0.162500, batch loss=0.292110, epoch loss=2.470503
Batch=719, step=9120, lr=0.162250, batch loss=0.295598, epoch loss=2.766101
Batch=779, step=9180, lr=0.162000, batch loss=0.312882, epoch loss=3.078983
Batch=839, step=9240, lr=0.161750, batch loss=0.281328, epoch loss=3.360310
Batch=899, step=9300, lr=0.161500, batch loss=0.252073, epoch loss=3.612383
Batch=959, step=9360, lr=0.161250, batch loss=0.187711, epoch loss=3.800094
Batch=1019, step=9420, lr=0.161000, batch loss=0.319418, epoch loss=4.119512
Batch=1079, step=9480, lr=0.160750, batch loss=0.197819, epoch loss=4.317331
Batch=1139, step=9540, lr=0.160500, batch loss=0.211857, epoch loss=4.529188
Batch=1199, step=9600, lr=0.160250, batch loss=0.167258, epoch loss=4.696446
Epoch=7, step=9600, lr=0.160250, epoch loss=4.696446
Batch=59, step=9660, lr=0.160000, batch loss=0.198843, epoch loss=0.198843
Batch=119, step=9720, lr=0.159750, batch loss=0.163754, epoch loss=0.362597
Batch=179, step=9780, lr=0.159500, batch loss=0.178059, epoch loss=0.540656
Batch=239, step=9840, lr=0.159250, batch loss=0.261753, epoch loss=0.802409
Batch=299, step=9900, lr=0.159000, batch loss=0.182530, epoch loss=0.984938
Batch=359, step=9960, lr=0.158750, batch loss=0.239199, epoch loss=1.224137
Batch=419, step=10020, lr=0.158500, batch loss=0.231500, epoch loss=1.455637
Batch=479, step=10080, lr=0.158250, batch loss=0.213211, epoch loss=1.668848
Batch=539, step=10140, lr=0.158000, batch loss=0.170306, epoch loss=1.839154
Batch=599, step=10200, lr=0.157750, batch loss=0.201758, epoch loss=2.040912
Batch=659, step=10260, lr=0.157500, batch loss=0.280677, epoch loss=2.321589
Batch=719, step=10320, lr=0.157250, batch loss=0.286650, epoch loss=2.608239
Batch=779, step=10380, lr=0.157000, batch loss=0.293968, epoch loss=2.902207
Batch=839, step=10440, lr=0.156750, batch loss=0.266830, epoch loss=3.169037
Batch=899, step=10500, lr=0.156500, batch loss=0.241677, epoch loss=3.410714
Batch=959, step=10560, lr=0.156250, batch loss=0.197685, epoch loss=3.608399
Batch=1019, step=10620, lr=0.156000, batch loss=0.280793, epoch loss=3.889192
Batch=1079, step=10680, lr=0.155750, batch loss=0.170642, epoch loss=4.059834
Batch=1139, step=10740, lr=0.155500, batch loss=0.198105, epoch loss=4.257939
Batch=1199, step=10800, lr=0.155250, batch loss=0.154143, epoch loss=4.412082
Epoch=8, step=10800, lr=0.155250, epoch loss=4.412082
Batch=59, step=10860, lr=0.155000, batch loss=0.179010, epoch loss=0.179010
Batch=119, step=10920, lr=0.154750, batch loss=0.149719, epoch loss=0.328729
Batch=179, step=10980, lr=0.154500, batch loss=0.165667, epoch loss=0.494396
Batch=239, step=11040, lr=0.154250, batch loss=0.240709, epoch loss=0.735105
Batch=299, step=11100, lr=0.154000, batch loss=0.171226, epoch loss=0.906331
Batch=359, step=11160, lr=0.153750, batch loss=0.220286, epoch loss=1.126617
Batch=419, step=11220, lr=0.153500, batch loss=0.220330, epoch loss=1.346947
Batch=479, step=11280, lr=0.153250, batch loss=0.210587, epoch loss=1.557534
Batch=539, step=11340, lr=0.153000, batch loss=0.165126, epoch loss=1.722661
Batch=599, step=11400, lr=0.152750, batch loss=0.177053, epoch loss=1.899714
Batch=659, step=11460, lr=0.152500, batch loss=0.265452, epoch loss=2.165166
Batch=719, step=11520, lr=0.152250, batch loss=0.256498, epoch loss=2.421664
Batch=779, step=11580, lr=0.152000, batch loss=0.273443, epoch loss=2.695107
Batch=839, step=11640, lr=0.151750, batch loss=0.254536, epoch loss=2.949643
Batch=899, step=11700, lr=0.151500, batch loss=0.212501, epoch loss=3.162144
Batch=959, step=11760, lr=0.151250, batch loss=0.163946, epoch loss=3.326090
Batch=1019, step=11820, lr=0.151000, batch loss=0.269794, epoch loss=3.595883
Batch=1079, step=11880, lr=0.150750, batch loss=0.145150, epoch loss=3.741034
Batch=1139, step=11940, lr=0.150500, batch loss=0.188350, epoch loss=3.929383
Batch=1199, step=12000, lr=0.150250, batch loss=0.138867, epoch loss=4.068251
Epoch=9, step=12000, lr=0.150250, epoch loss=4.068251
Batch=59, step=12060, lr=0.150000, batch loss=0.161418, epoch loss=0.161418
Batch=119, step=12120, lr=0.149750, batch loss=0.135816, epoch loss=0.297234
Batch=179, step=12180, lr=0.149500, batch loss=0.150651, epoch loss=0.447885
Batch=239, step=12240, lr=0.149250, batch loss=0.217885, epoch loss=0.665770
Batch=299, step=12300, lr=0.149000, batch loss=0.142507, epoch loss=0.808277
Batch=359, step=12360, lr=0.148750, batch loss=0.196752, epoch loss=1.005030
Batch=419, step=12420, lr=0.148500, batch loss=0.207390, epoch loss=1.212419
Batch=479, step=12480, lr=0.148250, batch loss=0.176483, epoch loss=1.388902
Batch=539, step=12540, lr=0.148000, batch loss=0.142903, epoch loss=1.531806
Batch=599, step=12600, lr=0.147750, batch loss=0.147450, epoch loss=1.679256
Batch=659, step=12660, lr=0.147500, batch loss=0.218545, epoch loss=1.897801
Batch=719, step=12720, lr=0.147250, batch loss=0.215317, epoch loss=2.113119
Batch=779, step=12780, lr=0.147000, batch loss=0.234667, epoch loss=2.347786
Batch=839, step=12840, lr=0.146750, batch loss=0.225872, epoch loss=2.573657
Batch=899, step=12900, lr=0.146500, batch loss=0.188612, epoch loss=2.762269
Batch=959, step=12960, lr=0.146250, batch loss=0.166636, epoch loss=2.928906
Batch=1019, step=13020, lr=0.146000, batch loss=0.271137, epoch loss=3.200043
Batch=1079, step=13080, lr=0.145750, batch loss=0.113993, epoch loss=3.314036
Batch=1139, step=13140, lr=0.145500, batch loss=0.149324, epoch loss=3.463360
Batch=1199, step=13200, lr=0.145250, batch loss=0.115945, epoch loss=3.579305
Epoch=10, step=13200, lr=0.145250, epoch loss=3.579305
Batch=59, step=13260, lr=0.145000, batch loss=0.137113, epoch loss=0.137113
Batch=119, step=13320, lr=0.144750, batch loss=0.115034, epoch loss=0.252147
Batch=179, step=13380, lr=0.144500, batch loss=0.126529, epoch loss=0.378676
Batch=239, step=13440, lr=0.144250, batch loss=0.186711, epoch loss=0.565387
Batch=299, step=13500, lr=0.144000, batch loss=0.112653, epoch loss=0.678040
Batch=359, step=13560, lr=0.143750, batch loss=0.160612, epoch loss=0.838652
Batch=419, step=13620, lr=0.143500, batch loss=0.164608, epoch loss=1.003260
Batch=479, step=13680, lr=0.143250, batch loss=0.150272, epoch loss=1.153532
Batch=539, step=13740, lr=0.143000, batch loss=0.120623, epoch loss=1.274155
Batch=599, step=13800, lr=0.142750, batch loss=0.118897, epoch loss=1.393052
Batch=659, step=13860, lr=0.142500, batch loss=0.175276, epoch loss=1.568328
Batch=719, step=13920, lr=0.142250, batch loss=0.175309, epoch loss=1.743637
Batch=779, step=13980, lr=0.142000, batch loss=0.196689, epoch loss=1.940326
Batch=839, step=14040, lr=0.141750, batch loss=0.185517, epoch loss=2.125842
Batch=899, step=14100, lr=0.141500, batch loss=0.156898, epoch loss=2.282740
Batch=959, step=14160, lr=0.141250, batch loss=0.132569, epoch loss=2.415309
Batch=1019, step=14220, lr=0.141000, batch loss=0.298270, epoch loss=2.713579
Batch=1079, step=14280, lr=0.140750, batch loss=0.085813, epoch loss=2.799392
Batch=1139, step=14340, lr=0.140500, batch loss=0.132037, epoch loss=2.931429
Batch=1199, step=14400, lr=0.140250, batch loss=0.094278, epoch loss=3.025707
Epoch=11, step=14400, lr=0.140250, epoch loss=3.025707
Batch=59, step=14460, lr=0.140000, batch loss=0.114958, epoch loss=0.114958
Batch=119, step=14520, lr=0.139750, batch loss=0.106171, epoch loss=0.221129
Batch=179, step=14580, lr=0.139500, batch loss=0.104474, epoch loss=0.325603
Batch=239, step=14640, lr=0.139250, batch loss=0.139198, epoch loss=0.464801
Batch=299, step=14700, lr=0.139000, batch loss=0.078142, epoch loss=0.542943
Batch=359, step=14760, lr=0.138500, batch loss=0.126126, epoch loss=0.669069
Batch=419, step=14820, lr=0.138250, batch loss=0.125725, epoch loss=0.794794
Batch=479, step=14880, lr=0.138250, batch loss=0.103407, epoch loss=0.898201
Batch=539, step=14940, lr=0.138000, batch loss=0.117285, epoch loss=1.015486
Batch=599, step=15000, lr=0.137750, batch loss=0.088788, epoch loss=1.104274
Batch=659, step=15060, lr=0.137500, batch loss=0.126089, epoch loss=1.230362
Batch=719, step=15120, lr=0.137250, batch loss=0.129632, epoch loss=1.359994
Batch=779, step=15180, lr=0.137000, batch loss=0.150967, epoch loss=1.510960
Batch=839, step=15240, lr=0.136750, batch loss=0.160024, epoch loss=1.670984
Batch=899, step=15300, lr=0.136500, batch loss=0.264066, epoch loss=1.935051
Batch=959, step=15360, lr=0.136250, batch loss=0.063900, epoch loss=1.998951
Batch=1019, step=15420, lr=0.136000, batch loss=0.129921, epoch loss=2.128872
Batch=1079, step=15480, lr=0.135750, batch loss=0.048718, epoch loss=2.177589
Batch=1139, step=15540, lr=0.135500, batch loss=0.102724, epoch loss=2.280314
Batch=1199, step=15600, lr=0.135250, batch loss=0.059920, epoch loss=2.340233
Epoch=12, step=15600, lr=0.135250, epoch loss=2.340233
Batch=59, step=15660, lr=0.135000, batch loss=0.080617, epoch loss=0.080617
Batch=119, step=15720, lr=0.134750, batch loss=0.115835, epoch loss=0.196452
Batch=179, step=15780, lr=0.134500, batch loss=0.093488, epoch loss=0.289939
Batch=239, step=15840, lr=0.134000, batch loss=0.093379, epoch loss=0.383318
Batch=299, step=15900, lr=0.134000, batch loss=0.039309, epoch loss=0.422627
Batch=359, step=15960, lr=0.133750, batch loss=0.081637, epoch loss=0.504264
Batch=419, step=16020, lr=0.133500, batch loss=0.076195, epoch loss=0.580460
Batch=479, step=16080, lr=0.133250, batch loss=0.050910, epoch loss=0.631369
Batch=539, step=16140, lr=0.133000, batch loss=0.077632, epoch loss=0.709002
Batch=599, step=16200, lr=0.132750, batch loss=0.172150, epoch loss=0.881152
Batch=659, step=16260, lr=0.132500, batch loss=0.095194, epoch loss=0.976346
Batch=719, step=16320, lr=0.132250, batch loss=0.118141, epoch loss=1.094487
Batch=779, step=16380, lr=0.132000, batch loss=0.260612, epoch loss=1.355099
Batch=839, step=16440, lr=0.131750, batch loss=0.087756, epoch loss=1.442855
Batch=899, step=16500, lr=0.131500, batch loss=0.072732, epoch loss=1.515586
Batch=959, step=16560, lr=0.131250, batch loss=0.035122, epoch loss=1.550708
Batch=1019, step=16620, lr=0.131000, batch loss=0.079455, epoch loss=1.630164
Batch=1079, step=16680, lr=0.130750, batch loss=0.038190, epoch loss=1.668354
Batch=1139, step=16740, lr=0.130500, batch loss=0.080101, epoch loss=1.748455
Batch=1199, step=16800, lr=0.130250, batch loss=0.035869, epoch loss=1.784324
Epoch=13, step=16800, lr=0.130250, epoch loss=1.784324
Batch=59, step=16860, lr=0.130000, batch loss=0.032921, epoch loss=0.032921
Batch=119, step=16920, lr=0.129750, batch loss=0.033424, epoch loss=0.066345
Batch=179, step=16980, lr=0.129500, batch loss=0.041568, epoch loss=0.107913
Batch=239, step=17040, lr=0.129250, batch loss=0.053543, epoch loss=0.161456
Batch=299, step=17100, lr=0.129000, batch loss=0.018409, epoch loss=0.179865
Batch=359, step=17160, lr=0.128750, batch loss=0.042528, epoch loss=0.222392
Batch=419, step=17220, lr=0.128500, batch loss=0.044284, epoch loss=0.266677
Batch=479, step=17280, lr=0.128250, batch loss=0.021215, epoch loss=0.287891
Batch=539, step=17340, lr=0.128000, batch loss=0.027311, epoch loss=0.315203
Batch=599, step=17400, lr=0.127750, batch loss=0.037695, epoch loss=0.352897
Batch=659, step=17460, lr=0.127500, batch loss=0.057834, epoch loss=0.410732
Batch=719, step=17520, lr=0.127250, batch loss=0.098736, epoch loss=0.509468
Batch=779, step=17580, lr=0.127000, batch loss=0.060655, epoch loss=0.570122
Batch=839, step=17640, lr=0.126750, batch loss=0.094236, epoch loss=0.664359
Batch=899, step=17700, lr=0.126500, batch loss=0.049948, epoch loss=0.714307
Batch=959, step=17760, lr=0.126250, batch loss=0.016509, epoch loss=0.730816
Batch=1019, step=17820, lr=0.126000, batch loss=0.037838, epoch loss=0.768654
Batch=1079, step=17880, lr=0.125750, batch loss=0.035076, epoch loss=0.803730
Batch=1139, step=17940, lr=0.125500, batch loss=0.073504, epoch loss=0.877234
Batch=1199, step=18000, lr=0.125000, batch loss=0.024116, epoch loss=0.901350
Epoch=14, step=18000, lr=0.125000, epoch loss=0.901350
Batch=59, step=18060, lr=0.125000, batch loss=0.015015, epoch loss=0.015015
Batch=119, step=18120, lr=0.124750, batch loss=0.024915, epoch loss=0.039930
Batch=179, step=18180, lr=0.124500, batch loss=0.061955, epoch loss=0.101885
Batch=239, step=18240, lr=0.124250, batch loss=0.036009, epoch loss=0.137894
Batch=299, step=18300, lr=0.124000, batch loss=0.008408, epoch loss=0.146302
Batch=359, step=18360, lr=0.123750, batch loss=0.024324, epoch loss=0.170625
Batch=419, step=18420, lr=0.123500, batch loss=0.028879, epoch loss=0.199504
Batch=479, step=18480, lr=0.123250, batch loss=0.018568, epoch loss=0.218072
Batch=539, step=18540, lr=0.123000, batch loss=0.040952, epoch loss=0.259025
Batch=599, step=18600, lr=0.122750, batch loss=0.025944, epoch loss=0.284969
Batch=659, step=18660, lr=0.122500, batch loss=0.032019, epoch loss=0.316988
Batch=719, step=18720, lr=0.122250, batch loss=0.048271, epoch loss=0.365259
Batch=779, step=18780, lr=0.122000, batch loss=0.110292, epoch loss=0.475551
Batch=839, step=18840, lr=0.121750, batch loss=0.057595, epoch loss=0.533146
Batch=899, step=18900, lr=0.121500, batch loss=0.057494, epoch loss=0.590640
Batch=959, step=18960, lr=0.121250, batch loss=0.013793, epoch loss=0.604433
Batch=1019, step=19020, lr=0.121000, batch loss=0.015832, epoch loss=0.620265
Batch=1079, step=19080, lr=0.120750, batch loss=0.007819, epoch loss=0.628084
Batch=1139, step=19140, lr=0.120500, batch loss=0.024211, epoch loss=0.652294
Batch=1199, step=19200, lr=0.120250, batch loss=0.009920, epoch loss=0.662214
Epoch=15, step=19200, lr=0.120250, epoch loss=0.662214
Batch=59, step=19260, lr=0.120000, batch loss=0.004875, epoch loss=0.004875
Batch=119, step=19320, lr=0.119750, batch loss=0.018036, epoch loss=0.022911
Batch=179, step=19380, lr=0.119500, batch loss=0.045367, epoch loss=0.068278
Batch=239, step=19440, lr=0.119250, batch loss=0.020288, epoch loss=0.088566
Batch=299, step=19500, lr=0.119000, batch loss=0.005254, epoch loss=0.093820
Batch=359, step=19560, lr=0.118750, batch loss=0.017027, epoch loss=0.110847
Batch=419, step=19620, lr=0.118500, batch loss=0.017958, epoch loss=0.128805
Batch=479, step=19680, lr=0.118250, batch loss=0.009331, epoch loss=0.138136
Batch=539, step=19740, lr=0.118000, batch loss=0.018558, epoch loss=0.156694
Batch=599, step=19800, lr=0.117750, batch loss=0.020132, epoch loss=0.176826
Batch=659, step=19860, lr=0.117500, batch loss=0.017899, epoch loss=0.194726
Batch=719, step=19920, lr=0.117250, batch loss=0.017552, epoch loss=0.212278
Batch=779, step=19980, lr=0.117000, batch loss=0.030381, epoch loss=0.242659
Batch=839, step=20040, lr=0.116750, batch loss=0.031027, epoch loss=0.273686
Batch=899, step=20100, lr=0.116500, batch loss=0.029027, epoch loss=0.302714
Batch=959, step=20160, lr=0.116250, batch loss=0.011846, epoch loss=0.314560
Batch=1019, step=20220, lr=0.116000, batch loss=0.015856, epoch loss=0.330416
Batch=1079, step=20280, lr=0.115750, batch loss=0.003329, epoch loss=0.333745
Batch=1139, step=20340, lr=0.115500, batch loss=0.014870, epoch loss=0.348615
Batch=1199, step=20400, lr=0.115250, batch loss=0.006167, epoch loss=0.354782
Epoch=16, step=20400, lr=0.115250, epoch loss=0.354782
Batch=59, step=20460, lr=0.115000, batch loss=0.003566, epoch loss=0.003566
Batch=119, step=20520, lr=0.114750, batch loss=0.008267, epoch loss=0.011833
Batch=179, step=20580, lr=0.114500, batch loss=0.015834, epoch loss=0.027667
Batch=239, step=20640, lr=0.114250, batch loss=0.014247, epoch loss=0.041914
Batch=299, step=20700, lr=0.114000, batch loss=0.003580, epoch loss=0.045495
Batch=359, step=20760, lr=0.113750, batch loss=0.014841, epoch loss=0.060336
Batch=419, step=20820, lr=0.113500, batch loss=0.015307, epoch loss=0.075643
Batch=479, step=20880, lr=0.113250, batch loss=0.005749, epoch loss=0.081392
Batch=539, step=20940, lr=0.113000, batch loss=0.016098, epoch loss=0.097490
Batch=599, step=21000, lr=0.112750, batch loss=0.018899, epoch loss=0.116389
Batch=659, step=21060, lr=0.112500, batch loss=0.015265, epoch loss=0.131654
Batch=719, step=21120, lr=0.112250, batch loss=0.044508, epoch loss=0.176162
Batch=779, step=21180, lr=0.112000, batch loss=0.073795, epoch loss=0.249957
Batch=839, step=21240, lr=0.111750, batch loss=0.026025, epoch loss=0.275982
Batch=899, step=21300, lr=0.111500, batch loss=0.028524, epoch loss=0.304505
Batch=959, step=21360, lr=0.111250, batch loss=0.010283, epoch loss=0.314788
Batch=1019, step=21420, lr=0.111000, batch loss=0.011110, epoch loss=0.325898
Batch=1079, step=21480, lr=0.110750, batch loss=0.001602, epoch loss=0.327500
Batch=1139, step=21540, lr=0.110500, batch loss=0.013121, epoch loss=0.340621
Batch=1199, step=21600, lr=0.110250, batch loss=0.005189, epoch loss=0.345810
Epoch=17, step=21600, lr=0.110250, epoch loss=0.345810
Batch=59, step=21660, lr=0.110000, batch loss=0.002423, epoch loss=0.002423
Batch=119, step=21720, lr=0.109750, batch loss=0.006944, epoch loss=0.009367
Batch=179, step=21780, lr=0.109500, batch loss=0.013312, epoch loss=0.022679
Batch=239, step=21840, lr=0.109250, batch loss=0.009671, epoch loss=0.032349
Batch=299, step=21900, lr=0.109000, batch loss=0.004806, epoch loss=0.037155
Batch=359, step=21960, lr=0.108750, batch loss=0.013383, epoch loss=0.050538
Batch=419, step=22020, lr=0.108500, batch loss=0.012790, epoch loss=0.063328
Batch=479, step=22080, lr=0.108250, batch loss=0.003359, epoch loss=0.066687
Batch=539, step=22140, lr=0.108000, batch loss=0.018155, epoch loss=0.084842
Batch=599, step=22200, lr=0.107750, batch loss=0.017402, epoch loss=0.102244
Batch=659, step=22260, lr=0.107500, batch loss=0.014824, epoch loss=0.117068
Batch=719, step=22320, lr=0.107250, batch loss=0.028222, epoch loss=0.145290
Batch=779, step=22380, lr=0.107000, batch loss=0.044075, epoch loss=0.189365
Batch=839, step=22440, lr=0.106750, batch loss=0.021773, epoch loss=0.211139
Batch=899, step=22500, lr=0.106500, batch loss=0.022215, epoch loss=0.233354
Batch=959, step=22560, lr=0.106250, batch loss=0.010650, epoch loss=0.244004
Batch=1019, step=22620, lr=0.106000, batch loss=0.010152, epoch loss=0.254156
Batch=1079, step=22680, lr=0.105750, batch loss=0.000643, epoch loss=0.254798
Batch=1139, step=22740, lr=0.105500, batch loss=0.011803, epoch loss=0.266601
Batch=1199, step=22800, lr=0.105000, batch loss=0.004583, epoch loss=0.271185
Epoch=18, step=22800, lr=0.105000, epoch loss=0.271185
Batch=59, step=22860, lr=0.105000, batch loss=0.001654, epoch loss=0.001654
Batch=119, step=22920, lr=0.104750, batch loss=0.005809, epoch loss=0.007463
Batch=179, step=22980, lr=0.104500, batch loss=0.011021, epoch loss=0.018485
Batch=239, step=23040, lr=0.104250, batch loss=0.008559, epoch loss=0.027044
Batch=299, step=23100, lr=0.104000, batch loss=0.007707, epoch loss=0.034751
Batch=359, step=23160, lr=0.103750, batch loss=0.011679, epoch loss=0.046430
Batch=419, step=23220, lr=0.103500, batch loss=0.010933, epoch loss=0.057363
Batch=479, step=23280, lr=0.103250, batch loss=0.002564, epoch loss=0.059927
Batch=539, step=23340, lr=0.103000, batch loss=0.017700, epoch loss=0.077627
Batch=599, step=23400, lr=0.102500, batch loss=0.014142, epoch loss=0.091770
Batch=659, step=23460, lr=0.102500, batch loss=0.010444, epoch loss=0.102214
Batch=719, step=23520, lr=0.102250, batch loss=0.012663, epoch loss=0.114877
Batch=779, step=23580, lr=0.102000, batch loss=0.021218, epoch loss=0.136095
Batch=839, step=23640, lr=0.101750, batch loss=0.027805, epoch loss=0.163901
Batch=899, step=23700, lr=0.101500, batch loss=0.022342, epoch loss=0.186243
Batch=959, step=23760, lr=0.101250, batch loss=0.010566, epoch loss=0.196809
Batch=1019, step=23820, lr=0.101000, batch loss=0.008226, epoch loss=0.205035
Batch=1079, step=23880, lr=0.100750, batch loss=0.000885, epoch loss=0.205920
Batch=1139, step=23940, lr=0.100500, batch loss=0.009561, epoch loss=0.215481
Batch=1199, step=24000, lr=0.100250, batch loss=0.004752, epoch loss=0.220233
Epoch=19, step=24000, lr=0.100250, epoch loss=0.220233


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:52.22 ---> saved as "1e5d7e3334889d4e43bdceb52831e59a55deee4c28c88f50977e194eb7e586f3"
Job succeeded
2025-03-20 22:52.23: Job succeeded