alpine-3.21-5.3_opam-2.3

2025-03-20 22:29.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (1a4d0ebb2cb2be9bf8422ae739357d8626151cd1) (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 1a4d0ebb
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 22:29.24: 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 22:29.24: 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 22:29.24: Waiting for resource in pool OCluster
2025-03-20 22:29.24: Waiting for worker…
2025-03-20 22:31.44: Got resource from pool OCluster
Building on asteria.caelum.ci.dev
All commits already cached
HEAD is now at 1a4d0ebb fPIC for cc: but only openSUSE complained https://ocaml.ci.dev/github/ahrefs/ocannl/commit/ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0/variant/opensuse-15.6-5.3_opam-2.3


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:4ae4f6e361088eb06bab0beb78c7db535e8b7a689cca4c4dd76add4242c4dab0)
2025-03-20 22:31.45 ---> 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 22:31.45 ---> 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 22:31.45 ---> 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 22:31.45 ---> using "bb90a277fb48150bfb58577b4b61ca2e911fa7d8ff44939da041b865bac9afe8" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:31.45 ---> 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 22:31.45 ---> using "746fbb62527431fddf1e025894b82c1bcf0d23e4b907494eb6fa8ff4f5667dbb" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:31.45 ---> saved as "0fda56c50f94acc8076c1938dcc63d2cf437304e0ebc7bc9ffa0862b14ba29cb"


/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 22:31.50 ---> saved as "189ebad2a0b57bb896db3f938290f0b71b7afa6755777d620d1deb6f23a61aaa"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:31.50 ---> saved as "41e1aa8d4c8718f6fa9eca8319e39ceafea6113098eef042d7f1a053e76b7e91"


/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 22:32.07 ---> saved as "ce6980b534df263abf656a5a140a260b33cee55483b143478efd6c02a3694176"


/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 22:33.31 ---> saved as "3f87e6347972f62058b086385de718660334101fcb30eaa774491c4f4678c917"


/src: (copy (src .) (dst /src))
2025-03-20 22:33.31 ---> saved as "88372a935653d8fb99d7223e89cbf05bf7fb3e50c67c6fb84723ae4f66869635"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2dd2ce99b18759f611fa6d9a59e473e0/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/2dd2ce99b18759f611fa6d9a59e473e0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2dd2ce99b18759f611fa6d9a59e473e0/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/ee66895401ceddd04420d09796d0b681/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2dd2ce99b18759f611fa6d9a59e473e0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2dd2ce99b18759f611fa6d9a59e473e0/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/2dd2ce99b18759f611fa6d9a59e473e0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2dd2ce99b18759f611fa6d9a59e473e0/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/2dd2ce99b18759f611fa6d9a59e473e0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2dd2ce99b18759f611fa6d9a59e473e0/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/2dd2ce99b18759f611fa6d9a59e473e0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2dd2ce99b18759f611fa6d9a59e473e0/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/2dd2ce99b18759f611fa6d9a59e473e0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2dd2ce99b18759f611fa6d9a59e473e0/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/2dd2ce99b18759f611fa6d9a59e473e0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2dd2ce99b18759f611fa6d9a59e473e0/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/2dd2ce99b18759f611fa6d9a59e473e0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2dd2ce99b18759f611fa6d9a59e473e0/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/2dd2ce99b18759f611fa6d9a59e473e0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/2dd2ce99b18759f611fa6d9a59e473e0/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/2dd2ce99b18759f611fa6d9a59e473e0/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=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786
Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067
Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387
Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355
Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855
Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963
Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184
Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407
Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164
Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633
Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671
Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133
Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999
Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312
Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223
Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877
Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301
Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593
Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416
Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253
Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689
Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497
Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495
Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390
Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314
Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229
Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518
Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460
Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885
Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660
Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955
Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988
Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087
Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829
Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103
Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103
Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725
Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742
Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559
Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762
Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755
Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388
Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988
Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580
Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712
Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101
Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915
Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348
Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075
Batch=839, step=9240, lr=0.161750, batch loss=0.287243, epoch loss=3.376318
Batch=899, step=9300, lr=0.161500, batch loss=0.251060, epoch loss=3.627378
Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817911
Batch=1019, step=9420, lr=0.161000, batch loss=0.311728, epoch loss=4.129639
Batch=1079, step=9480, lr=0.160750, batch loss=0.191595, epoch loss=4.321234
Batch=1139, step=9540, lr=0.160500, batch loss=0.215772, epoch loss=4.537006
Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702626
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702626
Batch=59, step=9660, lr=0.160000, batch loss=0.197217, epoch loss=0.197217
Batch=119, step=9720, lr=0.159750, batch loss=0.165467, epoch loss=0.362684
Batch=179, step=9780, lr=0.159500, batch loss=0.179286, epoch loss=0.541970
Batch=239, step=9840, lr=0.159250, batch loss=0.263837, epoch loss=0.805807
Batch=299, step=9900, lr=0.159000, batch loss=0.182187, epoch loss=0.987994
Batch=359, step=9960, lr=0.158750, batch loss=0.240842, epoch loss=1.228836
Batch=419, step=10020, lr=0.158500, batch loss=0.232979, epoch loss=1.461815
Batch=479, step=10080, lr=0.158250, batch loss=0.213194, epoch loss=1.675009
Batch=539, step=10140, lr=0.158000, batch loss=0.170694, epoch loss=1.845703
Batch=599, step=10200, lr=0.157750, batch loss=0.200247, epoch loss=2.045950
Batch=659, step=10260, lr=0.157500, batch loss=0.283032, epoch loss=2.328982
Batch=719, step=10320, lr=0.157250, batch loss=0.288754, epoch loss=2.617735
Batch=779, step=10380, lr=0.157000, batch loss=0.296880, epoch loss=2.914615
Batch=839, step=10440, lr=0.156750, batch loss=0.267657, epoch loss=3.182272
Batch=899, step=10500, lr=0.156500, batch loss=0.242699, epoch loss=3.424972
Batch=959, step=10560, lr=0.156250, batch loss=0.198668, epoch loss=3.623639
Batch=1019, step=10620, lr=0.156000, batch loss=0.295119, epoch loss=3.918758
Batch=1079, step=10680, lr=0.155750, batch loss=0.178662, epoch loss=4.097421
Batch=1139, step=10740, lr=0.155500, batch loss=0.205425, epoch loss=4.302846
Batch=1199, step=10800, lr=0.155250, batch loss=0.156138, epoch loss=4.458984
Epoch=8, step=10800, lr=0.155250, epoch loss=4.458984
Batch=59, step=10860, lr=0.155000, batch loss=0.177430, epoch loss=0.177430
Batch=119, step=10920, lr=0.154750, batch loss=0.152366, epoch loss=0.329795
Batch=179, step=10980, lr=0.154500, batch loss=0.167114, epoch loss=0.496909
Batch=239, step=11040, lr=0.154250, batch loss=0.242622, epoch loss=0.739531
Batch=299, step=11100, lr=0.154000, batch loss=0.169984, epoch loss=0.909515
Batch=359, step=11160, lr=0.153750, batch loss=0.222140, epoch loss=1.131654
Batch=419, step=11220, lr=0.153500, batch loss=0.229250, epoch loss=1.360905
Batch=479, step=11280, lr=0.153250, batch loss=0.202871, epoch loss=1.563775
Batch=539, step=11340, lr=0.152750, batch loss=0.159118, epoch loss=1.722894
Batch=599, step=11400, lr=0.152750, batch loss=0.178434, epoch loss=1.901328
Batch=659, step=11460, lr=0.152500, batch loss=0.264780, epoch loss=2.166108
Batch=719, step=11520, lr=0.152250, batch loss=0.256891, epoch loss=2.422999
Batch=779, step=11580, lr=0.152000, batch loss=0.273364, epoch loss=2.696363
Batch=839, step=11640, lr=0.151750, batch loss=0.255731, epoch loss=2.952093
Batch=899, step=11700, lr=0.151500, batch loss=0.212993, epoch loss=3.165086
Batch=959, step=11760, lr=0.151250, batch loss=0.168090, epoch loss=3.333176
Batch=1019, step=11820, lr=0.151000, batch loss=0.266169, epoch loss=3.599346
Batch=1079, step=11880, lr=0.150750, batch loss=0.149645, epoch loss=3.748991
Batch=1139, step=11940, lr=0.150500, batch loss=0.185616, epoch loss=3.934607
Batch=1199, step=12000, lr=0.150250, batch loss=0.139472, epoch loss=4.074079
Epoch=9, step=12000, lr=0.150250, epoch loss=4.074079
Batch=59, step=12060, lr=0.150000, batch loss=0.157985, epoch loss=0.157985
Batch=119, step=12120, lr=0.149750, batch loss=0.128867, epoch loss=0.286851
Batch=179, step=12180, lr=0.149500, batch loss=0.150413, epoch loss=0.437264
Batch=239, step=12240, lr=0.149250, batch loss=0.223237, epoch loss=0.660502
Batch=299, step=12300, lr=0.149000, batch loss=0.142675, epoch loss=0.803177
Batch=359, step=12360, lr=0.148750, batch loss=0.195384, epoch loss=0.998561
Batch=419, step=12420, lr=0.148500, batch loss=0.206274, epoch loss=1.204835
Batch=479, step=12480, lr=0.148250, batch loss=0.178709, epoch loss=1.383544
Batch=539, step=12540, lr=0.148000, batch loss=0.142629, epoch loss=1.526172
Batch=599, step=12600, lr=0.147750, batch loss=0.150414, epoch loss=1.676587
Batch=659, step=12660, lr=0.147500, batch loss=0.224906, epoch loss=1.901493
Batch=719, step=12720, lr=0.147250, batch loss=0.235284, epoch loss=2.136777
Batch=779, step=12780, lr=0.147000, batch loss=0.252705, epoch loss=2.389482
Batch=839, step=12840, lr=0.146750, batch loss=0.224951, epoch loss=2.614433
Batch=899, step=12900, lr=0.146500, batch loss=0.185332, epoch loss=2.799766
Batch=959, step=12960, lr=0.146250, batch loss=0.148921, epoch loss=2.948686
Batch=1019, step=13020, lr=0.146000, batch loss=0.268067, epoch loss=3.216753
Batch=1079, step=13080, lr=0.145750, batch loss=0.115315, epoch loss=3.332068
Batch=1139, step=13140, lr=0.145500, batch loss=0.155416, epoch loss=3.487484
Batch=1199, step=13200, lr=0.145250, batch loss=0.118515, epoch loss=3.605999
Epoch=10, step=13200, lr=0.145250, epoch loss=3.605999
Batch=59, step=13260, lr=0.145000, batch loss=0.143356, epoch loss=0.143356
Batch=119, step=13320, lr=0.144750, batch loss=0.119712, epoch loss=0.263068
Batch=179, step=13380, lr=0.144500, batch loss=0.127195, epoch loss=0.390264
Batch=239, step=13440, lr=0.144250, batch loss=0.186784, epoch loss=0.577048
Batch=299, step=13500, lr=0.144000, batch loss=0.112761, epoch loss=0.689809
Batch=359, step=13560, lr=0.143750, batch loss=0.161588, epoch loss=0.851397
Batch=419, step=13620, lr=0.143500, batch loss=0.160594, epoch loss=1.011991
Batch=479, step=13680, lr=0.143250, batch loss=0.147331, epoch loss=1.159322
Batch=539, step=13740, lr=0.143000, batch loss=0.118072, epoch loss=1.277393
Batch=599, step=13800, lr=0.142750, batch loss=0.119995, epoch loss=1.397388
Batch=659, step=13860, lr=0.142500, batch loss=0.175910, epoch loss=1.573299
Batch=719, step=13920, lr=0.142250, batch loss=0.172514, epoch loss=1.745813
Batch=779, step=13980, lr=0.142000, batch loss=0.178521, epoch loss=1.924335
Batch=839, step=14040, lr=0.141750, batch loss=0.186058, epoch loss=2.110393
Batch=899, step=14100, lr=0.141500, batch loss=0.178294, epoch loss=2.288687
Batch=959, step=14160, lr=0.141250, batch loss=0.146030, epoch loss=2.434717
Batch=1019, step=14220, lr=0.141000, batch loss=0.330291, epoch loss=2.765008
Batch=1079, step=14280, lr=0.140750, batch loss=0.082629, epoch loss=2.847638
Batch=1139, step=14340, lr=0.140500, batch loss=0.122355, epoch loss=2.969993
Batch=1199, step=14400, lr=0.140250, batch loss=0.091755, epoch loss=3.061748
Epoch=11, step=14400, lr=0.140250, epoch loss=3.061748
Batch=59, step=14460, lr=0.140000, batch loss=0.112758, epoch loss=0.112758
Batch=119, step=14520, lr=0.139750, batch loss=0.102800, epoch loss=0.215558
Batch=179, step=14580, lr=0.139500, batch loss=0.105851, epoch loss=0.321409
Batch=239, step=14640, lr=0.139250, batch loss=0.140948, epoch loss=0.462356
Batch=299, step=14700, lr=0.139000, batch loss=0.081108, epoch loss=0.543464
Batch=359, step=14760, lr=0.138750, batch loss=0.125331, epoch loss=0.668796
Batch=419, step=14820, lr=0.138500, batch loss=0.129252, epoch loss=0.798047
Batch=479, step=14880, lr=0.138250, batch loss=0.101433, epoch loss=0.899480
Batch=539, step=14940, lr=0.138000, batch loss=0.090716, epoch loss=0.990196
Batch=599, step=15000, lr=0.137750, batch loss=0.084920, epoch loss=1.075116
Batch=659, step=15060, lr=0.137500, batch loss=0.129185, epoch loss=1.204302
Batch=719, step=15120, lr=0.137250, batch loss=0.121481, epoch loss=1.325782
Batch=779, step=15180, lr=0.137000, batch loss=0.134478, epoch loss=1.460261
Batch=839, step=15240, lr=0.136750, batch loss=0.174636, epoch loss=1.634896
Batch=899, step=15300, lr=0.136500, batch loss=0.294503, epoch loss=1.929399
Batch=959, step=15360, lr=0.136250, batch loss=0.059356, epoch loss=1.988755
Batch=1019, step=15420, lr=0.136000, batch loss=0.136213, epoch loss=2.124968
Batch=1079, step=15480, lr=0.135750, batch loss=0.049591, epoch loss=2.174559
Batch=1139, step=15540, lr=0.135500, batch loss=0.106118, epoch loss=2.280677
Batch=1199, step=15600, lr=0.135250, batch loss=0.062271, epoch loss=2.342948
Epoch=12, step=15600, lr=0.135250, epoch loss=2.342948
Batch=59, step=15660, lr=0.135000, batch loss=0.077293, epoch loss=0.077293
Batch=119, step=15720, lr=0.134750, batch loss=0.100691, epoch loss=0.177984
Batch=179, step=15780, lr=0.134500, batch loss=0.088245, epoch loss=0.266229
Batch=239, step=15840, lr=0.134250, batch loss=0.090851, epoch loss=0.357080
Batch=299, step=15900, lr=0.134000, batch loss=0.041395, epoch loss=0.398475
Batch=359, step=15960, lr=0.133750, batch loss=0.077571, epoch loss=0.476046
Batch=419, step=16020, lr=0.133500, batch loss=0.083844, epoch loss=0.559890
Batch=479, step=16080, lr=0.133250, batch loss=0.076910, epoch loss=0.636800
Batch=539, step=16140, lr=0.133000, batch loss=0.052670, epoch loss=0.689470
Batch=599, step=16200, lr=0.132750, batch loss=0.097622, epoch loss=0.787092
Batch=659, step=16260, lr=0.132500, batch loss=0.075901, epoch loss=0.862992
Batch=719, step=16320, lr=0.132250, batch loss=0.086960, epoch loss=0.949953
Batch=779, step=16380, lr=0.132000, batch loss=0.127476, epoch loss=1.077429
Batch=839, step=16440, lr=0.131750, batch loss=0.121526, epoch loss=1.198955
Batch=899, step=16500, lr=0.131500, batch loss=0.132528, epoch loss=1.331483
Batch=959, step=16560, lr=0.131250, batch loss=0.042555, epoch loss=1.374038
Batch=1019, step=16620, lr=0.131000, batch loss=0.101892, epoch loss=1.475930
Batch=1079, step=16680, lr=0.130750, batch loss=0.028053, epoch loss=1.503983
Batch=1139, step=16740, lr=0.130500, batch loss=0.056088, epoch loss=1.560071
Batch=1199, step=16800, lr=0.130250, batch loss=0.029344, epoch loss=1.589415
Epoch=13, step=16800, lr=0.130250, epoch loss=1.589415
Batch=59, step=16860, lr=0.130000, batch loss=0.039120, epoch loss=0.039120
Batch=119, step=16920, lr=0.129750, batch loss=0.065266, epoch loss=0.104386
Batch=179, step=16980, lr=0.129500, batch loss=0.053305, epoch loss=0.157691
Batch=239, step=17040, lr=0.129250, batch loss=0.063709, epoch loss=0.221400
Batch=299, step=17100, lr=0.129000, batch loss=0.025475, epoch loss=0.246875
Batch=359, step=17160, lr=0.128750, batch loss=0.046183, epoch loss=0.293058
Batch=419, step=17220, lr=0.128500, batch loss=0.047737, epoch loss=0.340795
Batch=479, step=17280, lr=0.128250, batch loss=0.027295, epoch loss=0.368090
Batch=539, step=17340, lr=0.128000, batch loss=0.054191, epoch loss=0.422282
Batch=599, step=17400, lr=0.127750, batch loss=0.034578, epoch loss=0.456859
Batch=659, step=17460, lr=0.127500, batch loss=0.045901, epoch loss=0.502760
Batch=719, step=17520, lr=0.127250, batch loss=0.040226, epoch loss=0.542986
Batch=779, step=17580, lr=0.127000, batch loss=0.072440, epoch loss=0.615426
Batch=839, step=17640, lr=0.126750, batch loss=0.087074, epoch loss=0.702500
Batch=899, step=17700, lr=0.126500, batch loss=0.116737, epoch loss=0.819237
Batch=959, step=17760, lr=0.126250, batch loss=0.028245, epoch loss=0.847481
Batch=1019, step=17820, lr=0.126000, batch loss=0.047805, epoch loss=0.895286
Batch=1079, step=17880, lr=0.125750, batch loss=0.012729, epoch loss=0.908015
Batch=1139, step=17940, lr=0.125500, batch loss=0.030629, epoch loss=0.938643
Batch=1199, step=18000, lr=0.125250, batch loss=0.014416, epoch loss=0.953060
Epoch=14, step=18000, lr=0.125250, epoch loss=0.953060
Batch=59, step=18060, lr=0.125000, batch loss=0.010737, epoch loss=0.010737
Batch=119, step=18120, lr=0.124750, batch loss=0.034188, epoch loss=0.044924
Batch=179, step=18180, lr=0.124500, batch loss=0.095734, epoch loss=0.140658
Batch=239, step=18240, lr=0.124250, batch loss=0.046376, epoch loss=0.187034
Batch=299, step=18300, lr=0.124000, batch loss=0.009601, epoch loss=0.196635
Batch=359, step=18360, lr=0.123750, batch loss=0.026782, epoch loss=0.223416
Batch=419, step=18420, lr=0.123500, batch loss=0.028252, epoch loss=0.251668
Batch=479, step=18480, lr=0.123250, batch loss=0.015448, epoch loss=0.267116
Batch=539, step=18540, lr=0.123000, batch loss=0.020734, epoch loss=0.287850
Batch=599, step=18600, lr=0.122750, batch loss=0.025938, epoch loss=0.313788
Batch=659, step=18660, lr=0.122500, batch loss=0.028531, epoch loss=0.342319
Batch=719, step=18720, lr=0.122250, batch loss=0.050271, epoch loss=0.392590
Batch=779, step=18780, lr=0.122000, batch loss=0.105846, epoch loss=0.498436
Batch=839, step=18840, lr=0.121750, batch loss=0.063655, epoch loss=0.562091
Batch=899, step=18900, lr=0.121500, batch loss=0.078085, epoch loss=0.640176
Batch=959, step=18960, lr=0.121250, batch loss=0.014186, epoch loss=0.654362
Batch=1019, step=19020, lr=0.121000, batch loss=0.020439, epoch loss=0.674801
Batch=1079, step=19080, lr=0.120750, batch loss=0.006414, epoch loss=0.681216
Batch=1139, step=19140, lr=0.120500, batch loss=0.024543, epoch loss=0.705759
Batch=1199, step=19200, lr=0.120250, batch loss=0.010214, epoch loss=0.715973
Epoch=15, step=19200, lr=0.120250, epoch loss=0.715973
Batch=59, step=19260, lr=0.120000, batch loss=0.004946, epoch loss=0.004946
Batch=119, step=19320, lr=0.119750, batch loss=0.016378, epoch loss=0.021324
Batch=179, step=19380, lr=0.119500, batch loss=0.038477, epoch loss=0.059801
Batch=239, step=19440, lr=0.119250, batch loss=0.020656, epoch loss=0.080457
Batch=299, step=19500, lr=0.119000, batch loss=0.005080, epoch loss=0.085537
Batch=359, step=19560, lr=0.118750, batch loss=0.016968, epoch loss=0.102505
Batch=419, step=19620, lr=0.118500, batch loss=0.018992, epoch loss=0.121497
Batch=479, step=19680, lr=0.118250, batch loss=0.010312, epoch loss=0.131809
Batch=539, step=19740, lr=0.118000, batch loss=0.019923, epoch loss=0.151732
Batch=599, step=19800, lr=0.117750, batch loss=0.020099, epoch loss=0.171831
Batch=659, step=19860, lr=0.117500, batch loss=0.017466, epoch loss=0.189297
Batch=719, step=19920, lr=0.117250, batch loss=0.015924, epoch loss=0.205222
Batch=779, step=19980, lr=0.117000, batch loss=0.018399, epoch loss=0.223621
Batch=839, step=20040, lr=0.116750, batch loss=0.030699, epoch loss=0.254320
Batch=899, step=20100, lr=0.116500, batch loss=0.026383, epoch loss=0.280703
Batch=959, step=20160, lr=0.116250, batch loss=0.012529, epoch loss=0.293232
Batch=1019, step=20220, lr=0.116000, batch loss=0.015310, epoch loss=0.308542
Batch=1079, step=20280, lr=0.115750, batch loss=0.003682, epoch loss=0.312224
Batch=1139, step=20340, lr=0.115500, batch loss=0.016538, epoch loss=0.328762
Batch=1199, step=20400, lr=0.115250, batch loss=0.007895, epoch loss=0.336657
Epoch=16, step=20400, lr=0.115250, epoch loss=0.336657
Batch=59, step=20460, lr=0.115000, batch loss=0.003750, epoch loss=0.003750
Batch=119, step=20520, lr=0.114750, batch loss=0.008817, epoch loss=0.012568
Batch=179, step=20580, lr=0.114500, batch loss=0.017341, epoch loss=0.029909
Batch=239, step=20640, lr=0.114250, batch loss=0.013439, epoch loss=0.043348
Batch=299, step=20700, lr=0.114000, batch loss=0.003641, epoch loss=0.046989
Batch=359, step=20760, lr=0.113750, batch loss=0.015449, epoch loss=0.062438
Batch=419, step=20820, lr=0.113500, batch loss=0.015211, epoch loss=0.077649
Batch=479, step=20880, lr=0.113250, batch loss=0.003892, epoch loss=0.081540
Batch=539, step=20940, lr=0.113000, batch loss=0.025697, epoch loss=0.107237
Batch=599, step=21000, lr=0.112750, batch loss=0.022662, epoch loss=0.129899
Batch=659, step=21060, lr=0.112500, batch loss=0.016684, epoch loss=0.146583
Batch=719, step=21120, lr=0.112250, batch loss=0.050679, epoch loss=0.197262
Batch=779, step=21180, lr=0.112000, batch loss=0.070332, epoch loss=0.267594
Batch=839, step=21240, lr=0.111750, batch loss=0.025489, epoch loss=0.293083
Batch=899, step=21300, lr=0.111500, batch loss=0.030093, epoch loss=0.323176
Batch=959, step=21360, lr=0.111250, batch loss=0.010458, epoch loss=0.333634
Batch=1019, step=21420, lr=0.111000, batch loss=0.012499, epoch loss=0.346133
Batch=1079, step=21480, lr=0.110750, batch loss=0.002019, epoch loss=0.348152
Batch=1139, step=21540, lr=0.110500, batch loss=0.012901, epoch loss=0.361053
Batch=1199, step=21600, lr=0.110250, batch loss=0.005215, epoch loss=0.366267
Epoch=17, step=21600, lr=0.110250, epoch loss=0.366267
Batch=59, step=21660, lr=0.110000, batch loss=0.002438, epoch loss=0.002438
Batch=119, step=21720, lr=0.109750, batch loss=0.006782, epoch loss=0.009220
Batch=179, step=21780, lr=0.109500, batch loss=0.012986, epoch loss=0.022206
Batch=239, step=21840, lr=0.109250, batch loss=0.010205, epoch loss=0.032411
Batch=299, step=21900, lr=0.109000, batch loss=0.010059, epoch loss=0.042470
Batch=359, step=21960, lr=0.108750, batch loss=0.015106, epoch loss=0.057577
Batch=419, step=22020, lr=0.108500, batch loss=0.012275, epoch loss=0.069851
Batch=479, step=22080, lr=0.108250, batch loss=0.002763, epoch loss=0.072615
Batch=539, step=22140, lr=0.108000, batch loss=0.019114, epoch loss=0.091729
Batch=599, step=22200, lr=0.107750, batch loss=0.017199, epoch loss=0.108928
Batch=659, step=22260, lr=0.107500, batch loss=0.014507, epoch loss=0.123435
Batch=719, step=22320, lr=0.107250, batch loss=0.028151, epoch loss=0.151586
Batch=779, step=22380, lr=0.107000, batch loss=0.043840, epoch loss=0.195426
Batch=839, step=22440, lr=0.106750, batch loss=0.021890, epoch loss=0.217316
Batch=899, step=22500, lr=0.106500, batch loss=0.022476, epoch loss=0.239792
Batch=959, step=22560, lr=0.106250, batch loss=0.011403, epoch loss=0.251195
Batch=1019, step=22620, lr=0.106000, batch loss=0.009198, epoch loss=0.260393
Batch=1079, step=22680, lr=0.105750, batch loss=0.000140, epoch loss=0.260532
Batch=1139, step=22740, lr=0.105500, batch loss=0.010038, epoch loss=0.270570
Batch=1199, step=22800, lr=0.105250, batch loss=0.004360, epoch loss=0.274930
Epoch=18, step=22800, lr=0.105250, epoch loss=0.274930
Batch=59, step=22860, lr=0.105000, batch loss=0.001448, epoch loss=0.001448
Batch=119, step=22920, lr=0.104750, batch loss=0.005869, epoch loss=0.007317
Batch=179, step=22980, lr=0.104500, batch loss=0.011184, epoch loss=0.018501
Batch=239, step=23040, lr=0.104250, batch loss=0.011490, epoch loss=0.029991
Batch=299, step=23100, lr=0.104000, batch loss=0.008692, epoch loss=0.038683
Batch=359, step=23160, lr=0.103750, batch loss=0.011062, epoch loss=0.049746
Batch=419, step=23220, lr=0.103500, batch loss=0.010710, epoch loss=0.060456
Batch=479, step=23280, lr=0.103250, batch loss=0.002556, epoch loss=0.063011
Batch=539, step=23340, lr=0.103000, batch loss=0.017508, epoch loss=0.080519
Batch=599, step=23400, lr=0.102750, batch loss=0.013803, epoch loss=0.094322
Batch=659, step=23460, lr=0.102500, batch loss=0.010230, epoch loss=0.104552
Batch=719, step=23520, lr=0.102250, batch loss=0.015812, epoch loss=0.120364
Batch=779, step=23580, lr=0.102000, batch loss=0.021885, epoch loss=0.142249
Batch=839, step=23640, lr=0.101750, batch loss=0.027557, epoch loss=0.169807
Batch=899, step=23700, lr=0.101500, batch loss=0.021839, epoch loss=0.191646
Batch=959, step=23760, lr=0.101250, batch loss=0.010633, epoch loss=0.202278
Batch=1019, step=23820, lr=0.101000, batch loss=0.008117, epoch loss=0.210396
Batch=1079, step=23880, lr=0.100750, batch loss=0.000764, epoch loss=0.211159
Batch=1139, step=23940, lr=0.100500, batch loss=0.009429, epoch loss=0.220589
Batch=1199, step=24000, lr=0.100250, batch loss=0.004585, epoch loss=0.225174
Epoch=19, step=24000, lr=0.100250, epoch loss=0.225174


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:33.53 ---> saved as "51a4c9a309d4fff4b1eae410300c4e45e141f1b20756f4791c5e62d4f0f9c28a"
Job succeeded
2025-03-20 22:33.54: Job succeeded