alpine-3.21-5.3_opam-2.3

2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (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 f6ea3750
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


2025-03-21 15:22.29: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:4ae4f6e361088eb06bab0beb78c7db535e8b7a689cca4c4dd76add4242c4dab0-alpine-3.21-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-21 15:22.29: 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"))
)


2025-03-21 15:22.29: Waiting for resource in pool OCluster
2025-03-21 15:22.29: Waiting for worker…
2025-03-21 15:22.42: Got resource from pool OCluster
Building on asteria.caelum.ci.dev
All commits already cached
HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN)


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:4ae4f6e361088eb06bab0beb78c7db535e8b7a689cca4c4dd76add4242c4dab0)
2025-03-21 15:22.42 ---> 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"))
2025-03-21 15:22.42 ---> 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
2025-03-21 15:22.42 ---> 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
2025-03-21 15:22.42 ---> using "bb90a277fb48150bfb58577b4b61ca2e911fa7d8ff44939da041b865bac9afe8" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 15:22.42 ---> 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..acfb0e6e94  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)
2025-03-21 15:22.42 ---> using "746fbb62527431fddf1e025894b82c1bcf0d23e4b907494eb6fa8ff4f5667dbb" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 15:22.42 ---> 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)
2025-03-21 15:22.42 ---> using "189ebad2a0b57bb896db3f938290f0b71b7afa6755777d620d1deb6f23a61aaa" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 15:22.42 ---> 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]
- v3.21.3-195-gf9a7a0fbed0 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v20250108-4345-gbcaf6282bab [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v20250108-4367-g300b4a6e968 [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v20250108-3887-g4037a56c69f [https://dl-cdn.alpinelinux.org/alpine/edge/testing]
- OK: 57235 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
2025-03-21 15:22.42 ---> 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_fields_conv.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (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 printbox.0.12
-> 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 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 fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed uucp.16.0.0
-> installed ctypes-foreign.0.23.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_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)
2025-03-21 15:22.42 ---> using "3f87e6347972f62058b086385de718660334101fcb30eaa774491c4f4678c917" from cache


/src: (copy (src .) (dst /src))
2025-03-21 15:22.43 ---> saved as "c8ada2585914bf9ed5346de16922e524c399262824207ae8a23ac03a50ddc716"


/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/b2ca2378a6b57aa001cf506645d698ec/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/28e12a9995896947d58d16dd5b175194/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b2ca2378a6b57aa001cf506645d698ec/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b2ca2378a6b57aa001cf506645d698ec/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/b2ca2378a6b57aa001cf506645d698ec/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b2ca2378a6b57aa001cf506645d698ec/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/b2ca2378a6b57aa001cf506645d698ec/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b2ca2378a6b57aa001cf506645d698ec/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/b2ca2378a6b57aa001cf506645d698ec/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b2ca2378a6b57aa001cf506645d698ec/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/b2ca2378a6b57aa001cf506645d698ec/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b2ca2378a6b57aa001cf506645d698ec/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/b2ca2378a6b57aa001cf506645d698ec/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b2ca2378a6b57aa001cf506645d698ec/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/b2ca2378a6b57aa001cf506645d698ec/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b2ca2378a6b57aa001cf506645d698ec/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/b2ca2378a6b57aa001cf506645d698ec/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b2ca2378a6b57aa001cf506645d698ec/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/b2ca2378a6b57aa001cf506645d698ec/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b2ca2378a6b57aa001cf506645d698ec/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/b2ca2378a6b57aa001cf506645d698ec/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=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630
Batch=239, step=240, lr=0.199000, batch loss=0.850854, epoch loss=35.616485
Batch=299, step=300, lr=0.199000, batch loss=1.446818, epoch loss=37.063303
Batch=359, step=360, lr=0.198750, batch loss=1.336884, epoch loss=38.400187
Batch=419, step=420, lr=0.198250, batch loss=0.614503, epoch loss=39.014690
Batch=479, step=480, lr=0.198250, batch loss=0.794061, epoch loss=39.808751
Batch=539, step=540, lr=0.197750, batch loss=0.654492, epoch loss=40.463243
Batch=599, step=600, lr=0.197750, batch loss=1.080864, epoch loss=41.544107
Batch=659, step=660, lr=0.197500, batch loss=0.483309, epoch loss=42.027416
Batch=719, step=720, lr=0.197250, batch loss=0.412193, epoch loss=42.439608
Batch=779, step=780, lr=0.197000, batch loss=0.470820, epoch loss=42.910429
Batch=839, step=840, lr=0.196750, batch loss=0.445218, epoch loss=43.355646
Batch=899, step=900, lr=0.196500, batch loss=0.386039, epoch loss=43.741685
Batch=959, step=960, lr=0.196250, batch loss=0.243407, epoch loss=43.985092
Batch=1019, step=1020, lr=0.195750, batch loss=0.446759, epoch loss=44.431851
Batch=1079, step=1080, lr=0.195750, batch loss=0.249527, epoch loss=44.681379
Batch=1139, step=1140, lr=0.195500, batch loss=0.328690, epoch loss=45.010068
Batch=1199, step=1200, lr=0.195250, batch loss=0.266289, epoch loss=45.276358
Epoch=0, step=1200, lr=0.195250, epoch loss=45.276358
Batch=59, step=1260, lr=0.195000, batch loss=0.262628, epoch loss=0.262628
Batch=119, step=1320, lr=0.194750, batch loss=0.207524, epoch loss=0.470152
Batch=179, step=1380, lr=0.194250, batch loss=0.247091, epoch loss=0.717243
Batch=239, step=1440, lr=0.194250, batch loss=0.353927, epoch loss=1.071171
Batch=299, step=1500, lr=0.193750, batch loss=0.237135, epoch loss=1.308306
Batch=359, step=1560, lr=0.193750, batch loss=0.313511, epoch loss=1.621817
Batch=419, step=1620, lr=0.193500, batch loss=0.309403, epoch loss=1.931220
Batch=479, step=1680, lr=0.193250, batch loss=0.276781, epoch loss=2.208001
Batch=539, step=1740, lr=0.193000, batch loss=0.210579, epoch loss=2.418580
Batch=599, step=1800, lr=0.192750, batch loss=0.250996, epoch loss=2.669577
Batch=659, step=1860, lr=0.192500, batch loss=0.368738, epoch loss=3.038315
Batch=719, step=1920, lr=0.192250, batch loss=0.357891, epoch loss=3.396206
Batch=779, step=1980, lr=0.192000, batch loss=0.382397, epoch loss=3.778603
Batch=839, step=2040, lr=0.191750, batch loss=0.342483, epoch loss=4.121086
Batch=899, step=2100, lr=0.191500, batch loss=0.301091, epoch loss=4.422176
Batch=959, step=2160, lr=0.191250, batch loss=0.222865, epoch loss=4.645042
Batch=1019, step=2220, lr=0.191000, batch loss=0.325625, epoch loss=4.970667
Batch=1079, step=2280, lr=0.190750, batch loss=0.200053, epoch loss=5.170720
Batch=1139, step=2340, lr=0.190250, batch loss=0.272520, epoch loss=5.443240
Batch=1199, step=2400, lr=0.190250, batch loss=0.221306, epoch loss=5.664546
Epoch=1, step=2400, lr=0.190250, epoch loss=5.664546
Batch=59, step=2460, lr=0.190000, batch loss=0.230915, epoch loss=0.230915
Batch=119, step=2520, lr=0.189750, batch loss=0.198566, epoch loss=0.429481
Batch=179, step=2580, lr=0.189500, batch loss=0.220015, epoch loss=0.649495
Batch=239, step=2640, lr=0.189250, batch loss=0.327825, epoch loss=0.977320
Batch=299, step=2700, lr=0.189000, batch loss=0.205815, epoch loss=1.183135
Batch=359, step=2760, lr=0.188750, batch loss=0.291192, epoch loss=1.474326
Batch=419, step=2820, lr=0.188500, batch loss=0.281795, epoch loss=1.756121
Batch=479, step=2880, lr=0.188250, batch loss=0.255449, epoch loss=2.011569
Batch=539, step=2940, lr=0.188000, batch loss=0.197604, epoch loss=2.209173
Batch=599, step=3000, lr=0.187750, batch loss=0.243986, epoch loss=2.453159
Batch=659, step=3060, lr=0.187500, batch loss=0.349108, epoch loss=2.802268
Batch=719, step=3120, lr=0.187250, batch loss=0.349533, epoch loss=3.151801
Batch=779, step=3180, lr=0.187000, batch loss=0.362330, epoch loss=3.514131
Batch=839, step=3240, lr=0.186750, batch loss=0.326054, epoch loss=3.840185
Batch=899, step=3300, lr=0.186250, batch loss=0.294040, epoch loss=4.134225
Batch=959, step=3360, lr=0.186250, batch loss=0.228512, epoch loss=4.362737
Batch=1019, step=3420, lr=0.186000, batch loss=0.346369, epoch loss=4.709106
Batch=1079, step=3480, lr=0.185750, batch loss=0.226711, epoch loss=4.935818
Batch=1139, step=3540, lr=0.185500, batch loss=0.267046, epoch loss=5.202864
Batch=1199, step=3600, lr=0.185250, batch loss=0.203495, epoch loss=5.406358
Epoch=2, step=3600, lr=0.185250, epoch loss=5.406358
Batch=59, step=3660, lr=0.184750, batch loss=0.228555, epoch loss=0.228555
Batch=119, step=3720, lr=0.184750, batch loss=0.195282, epoch loss=0.423837
Batch=179, step=3780, lr=0.184500, batch loss=0.213661, epoch loss=0.637498
Batch=239, step=3840, lr=0.184250, batch loss=0.316355, epoch loss=0.953853
Batch=299, step=3900, lr=0.184000, batch loss=0.206540, epoch loss=1.160393
Batch=359, step=3960, lr=0.183750, batch loss=0.288261, epoch loss=1.448654
Batch=419, step=4020, lr=0.183500, batch loss=0.276922, epoch loss=1.725576
Batch=479, step=4080, lr=0.183250, batch loss=0.258938, epoch loss=1.984514
Batch=539, step=4140, lr=0.182750, batch loss=0.197505, epoch loss=2.182020
Batch=599, step=4200, lr=0.182750, batch loss=0.240354, epoch loss=2.422374
Batch=659, step=4260, lr=0.182500, batch loss=0.330875, epoch loss=2.753250
Batch=719, step=4320, lr=0.182250, batch loss=0.328138, epoch loss=3.081388
Batch=779, step=4380, lr=0.182000, batch loss=0.353243, epoch loss=3.434630
Batch=839, step=4440, lr=0.181750, batch loss=0.318076, epoch loss=3.752706
Batch=899, step=4500, lr=0.181500, batch loss=0.286027, epoch loss=4.038733
Batch=959, step=4560, lr=0.181250, batch loss=0.239170, epoch loss=4.277903
Batch=1019, step=4620, lr=0.181000, batch loss=0.347796, epoch loss=4.625700
Batch=1079, step=4680, lr=0.180750, batch loss=0.213325, epoch loss=4.839025
Batch=1139, step=4740, lr=0.180500, batch loss=0.250574, epoch loss=5.089599
Batch=1199, step=4800, lr=0.180250, batch loss=0.191793, epoch loss=5.281392
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281392
Batch=59, step=4860, lr=0.180000, batch loss=0.224105, epoch loss=0.224105
Batch=119, step=4920, lr=0.179750, batch loss=0.187593, epoch loss=0.411699
Batch=179, step=4980, lr=0.179500, batch loss=0.206921, epoch loss=0.618620
Batch=239, step=5040, lr=0.179250, batch loss=0.308237, epoch loss=0.926857
Batch=299, step=5100, lr=0.179000, batch loss=0.209838, epoch loss=1.136695
Batch=359, step=5160, lr=0.178750, batch loss=0.275820, epoch loss=1.412516
Batch=419, step=5220, lr=0.178250, batch loss=0.266226, epoch loss=1.678742
Batch=479, step=5280, lr=0.178250, batch loss=0.242191, epoch loss=1.920933
Batch=539, step=5340, lr=0.178000, batch loss=0.194686, epoch loss=2.115619
Batch=599, step=5400, lr=0.177750, batch loss=0.236631, epoch loss=2.352250
Batch=659, step=5460, lr=0.177500, batch loss=0.321804, epoch loss=2.674054
Batch=719, step=5520, lr=0.177250, batch loss=0.324657, epoch loss=2.998711
Batch=779, step=5580, lr=0.177000, batch loss=0.341052, epoch loss=3.339763
Batch=839, step=5640, lr=0.176750, batch loss=0.312789, epoch loss=3.652552
Batch=899, step=5700, lr=0.176500, batch loss=0.273378, epoch loss=3.925929
Batch=959, step=5760, lr=0.176250, batch loss=0.217946, epoch loss=4.143875
Batch=1019, step=5820, lr=0.176000, batch loss=0.334856, epoch loss=4.478731
Batch=1079, step=5880, lr=0.175500, batch loss=0.194820, epoch loss=4.673551
Batch=1139, step=5940, lr=0.175500, batch loss=0.227700, epoch loss=4.901251
Batch=1199, step=6000, lr=0.175250, batch loss=0.185573, epoch loss=5.086823
Epoch=4, step=6000, lr=0.175250, epoch loss=5.086823
Batch=59, step=6060, lr=0.174750, batch loss=0.225955, epoch loss=0.225955
Batch=119, step=6120, lr=0.174750, batch loss=0.185308, epoch loss=0.411264
Batch=179, step=6180, lr=0.174500, batch loss=0.202069, epoch loss=0.613333
Batch=239, step=6240, lr=0.174250, batch loss=0.301503, epoch loss=0.914836
Batch=299, step=6300, lr=0.174000, batch loss=0.204029, epoch loss=1.118865
Batch=359, step=6360, lr=0.173500, batch loss=0.264030, epoch loss=1.382895
Batch=419, step=6420, lr=0.173500, batch loss=0.259075, epoch loss=1.641970
Batch=479, step=6480, lr=0.173000, batch loss=0.234919, epoch loss=1.876889
Batch=539, step=6540, lr=0.173000, batch loss=0.186408, epoch loss=2.063296
Batch=599, step=6600, lr=0.172750, batch loss=0.231096, epoch loss=2.294392
Batch=659, step=6660, lr=0.172500, batch loss=0.314988, epoch loss=2.609381
Batch=719, step=6720, lr=0.172250, batch loss=0.315634, epoch loss=2.925014
Batch=779, step=6780, lr=0.172000, batch loss=0.331058, epoch loss=3.256072
Batch=839, step=6840, lr=0.171750, batch loss=0.305801, epoch loss=3.561874
Batch=899, step=6900, lr=0.171500, batch loss=0.265559, epoch loss=3.827432
Batch=959, step=6960, lr=0.171250, batch loss=0.216187, epoch loss=4.043619
Batch=1019, step=7020, lr=0.171000, batch loss=0.330660, epoch loss=4.374279
Batch=1079, step=7080, lr=0.170750, batch loss=0.184228, epoch loss=4.558507
Batch=1139, step=7140, lr=0.170500, batch loss=0.217217, epoch loss=4.775724
Batch=1199, step=7200, lr=0.170250, batch loss=0.181651, epoch loss=4.957375
Epoch=5, step=7200, lr=0.170250, epoch loss=4.957375
Batch=59, step=7260, lr=0.170000, batch loss=0.220912, epoch loss=0.220912
Batch=119, step=7320, lr=0.169750, batch loss=0.184722, epoch loss=0.405633
Batch=179, step=7380, lr=0.169500, batch loss=0.196788, epoch loss=0.602421
Batch=239, step=7440, lr=0.169250, batch loss=0.293742, epoch loss=0.896163
Batch=299, step=7500, lr=0.169000, batch loss=0.206175, epoch loss=1.102338
Batch=359, step=7560, lr=0.168750, batch loss=0.264469, epoch loss=1.366807
Batch=419, step=7620, lr=0.168500, batch loss=0.254725, epoch loss=1.621532
Batch=479, step=7680, lr=0.168250, batch loss=0.234555, epoch loss=1.856087
Batch=539, step=7740, lr=0.168000, batch loss=0.193003, epoch loss=2.049090
Batch=599, step=7800, lr=0.167750, batch loss=0.228439, epoch loss=2.277529
Batch=659, step=7860, lr=0.167500, batch loss=0.305703, epoch loss=2.583232
Batch=719, step=7920, lr=0.167250, batch loss=0.311641, epoch loss=2.894873
Batch=779, step=7980, lr=0.167000, batch loss=0.331002, epoch loss=3.225876
Batch=839, step=8040, lr=0.166750, batch loss=0.294033, epoch loss=3.519908
Batch=899, step=8100, lr=0.166500, batch loss=0.263660, epoch loss=3.783569
Batch=959, step=8160, lr=0.166250, batch loss=0.200012, epoch loss=3.983581
Batch=1019, step=8220, lr=0.166000, batch loss=0.324666, epoch loss=4.308247
Batch=1079, step=8280, lr=0.165750, batch loss=0.188737, epoch loss=4.496984
Batch=1139, step=8340, lr=0.165500, batch loss=0.220214, epoch loss=4.717198
Batch=1199, step=8400, lr=0.165250, batch loss=0.174160, epoch loss=4.891357
Epoch=6, step=8400, lr=0.165250, epoch loss=4.891357
Batch=59, step=8460, lr=0.165000, batch loss=0.211432, epoch loss=0.211432
Batch=119, step=8520, lr=0.164750, batch loss=0.174176, epoch loss=0.385609
Batch=179, step=8580, lr=0.164500, batch loss=0.189143, epoch loss=0.574752
Batch=239, step=8640, lr=0.164250, batch loss=0.281353, epoch loss=0.856105
Batch=299, step=8700, lr=0.164000, batch loss=0.190476, epoch loss=1.046581
Batch=359, step=8760, lr=0.163750, batch loss=0.245627, epoch loss=1.292208
Batch=419, step=8820, lr=0.163500, batch loss=0.240013, epoch loss=1.532221
Batch=479, step=8880, lr=0.163250, batch loss=0.215405, epoch loss=1.747627
Batch=539, step=8940, lr=0.163000, batch loss=0.179192, epoch loss=1.926819
Batch=599, step=9000, lr=0.162750, batch loss=0.220379, epoch loss=2.147198
Batch=659, step=9060, lr=0.162500, batch loss=0.294621, epoch loss=2.441818
Batch=719, step=9120, lr=0.162250, batch loss=0.296762, epoch loss=2.738581
Batch=779, step=9180, lr=0.162000, batch loss=0.316188, epoch loss=3.054769
Batch=839, step=9240, lr=0.161750, batch loss=0.288742, epoch loss=3.343511
Batch=899, step=9300, lr=0.161500, batch loss=0.252007, epoch loss=3.595518
Batch=959, step=9360, lr=0.161250, batch loss=0.192157, epoch loss=3.787676
Batch=1019, step=9420, lr=0.161000, batch loss=0.317018, epoch loss=4.104694
Batch=1079, step=9480, lr=0.160750, batch loss=0.203660, epoch loss=4.308353
Batch=1139, step=9540, lr=0.160500, batch loss=0.212861, epoch loss=4.521215
Batch=1199, step=9600, lr=0.160250, batch loss=0.169022, epoch loss=4.690236
Epoch=7, step=9600, lr=0.160250, epoch loss=4.690236
Batch=59, step=9660, lr=0.160000, batch loss=0.194653, epoch loss=0.194653
Batch=119, step=9720, lr=0.159750, batch loss=0.164276, epoch loss=0.358929
Batch=179, step=9780, lr=0.159500, batch loss=0.179032, epoch loss=0.537961
Batch=239, step=9840, lr=0.159250, batch loss=0.264027, epoch loss=0.801988
Batch=299, step=9900, lr=0.159000, batch loss=0.183236, epoch loss=0.985224
Batch=359, step=9960, lr=0.158750, batch loss=0.233497, epoch loss=1.218720
Batch=419, step=10020, lr=0.158500, batch loss=0.234324, epoch loss=1.453044
Batch=479, step=10080, lr=0.158250, batch loss=0.215913, epoch loss=1.668958
Batch=539, step=10140, lr=0.158000, batch loss=0.172128, epoch loss=1.841085
Batch=599, step=10200, lr=0.157750, batch loss=0.204469, epoch loss=2.045554
Batch=659, step=10260, lr=0.157500, batch loss=0.282422, epoch loss=2.327976
Batch=719, step=10320, lr=0.157250, batch loss=0.279909, epoch loss=2.607886
Batch=779, step=10380, lr=0.157000, batch loss=0.300487, epoch loss=2.908373
Batch=839, step=10440, lr=0.156750, batch loss=0.273322, epoch loss=3.181695
Batch=899, step=10500, lr=0.156500, batch loss=0.240265, epoch loss=3.421960
Batch=959, step=10560, lr=0.156250, batch loss=0.202224, epoch loss=3.624183
Batch=1019, step=10620, lr=0.156000, batch loss=0.282033, epoch loss=3.906217
Batch=1079, step=10680, lr=0.155750, batch loss=0.155866, epoch loss=4.062083
Batch=1139, step=10740, lr=0.155500, batch loss=0.187965, epoch loss=4.250048
Batch=1199, step=10800, lr=0.155250, batch loss=0.155811, epoch loss=4.405859
Epoch=8, step=10800, lr=0.155250, epoch loss=4.405859
Batch=59, step=10860, lr=0.155000, batch loss=0.180806, epoch loss=0.180806
Batch=119, step=10920, lr=0.154750, batch loss=0.151973, epoch loss=0.332780
Batch=179, step=10980, lr=0.154500, batch loss=0.166813, epoch loss=0.499593
Batch=239, step=11040, lr=0.154250, batch loss=0.242822, epoch loss=0.742415
Batch=299, step=11100, lr=0.154000, batch loss=0.175554, epoch loss=0.917969
Batch=359, step=11160, lr=0.153750, batch loss=0.225341, epoch loss=1.143311
Batch=419, step=11220, lr=0.153500, batch loss=0.232323, epoch loss=1.375634
Batch=479, step=11280, lr=0.153250, batch loss=0.205450, epoch loss=1.581083
Batch=539, step=11340, lr=0.153000, batch loss=0.162938, epoch loss=1.744021
Batch=599, step=11400, lr=0.152750, batch loss=0.187154, epoch loss=1.931175
Batch=659, step=11460, lr=0.152500, batch loss=0.265192, epoch loss=2.196367
Batch=719, step=11520, lr=0.152250, batch loss=0.258226, epoch loss=2.454593
Batch=779, step=11580, lr=0.152000, batch loss=0.274742, epoch loss=2.729335
Batch=839, step=11640, lr=0.151750, batch loss=0.258095, epoch loss=2.987430
Batch=899, step=11700, lr=0.151500, batch loss=0.220932, epoch loss=3.208361
Batch=959, step=11760, lr=0.151250, batch loss=0.176566, epoch loss=3.384928
Batch=1019, step=11820, lr=0.151000, batch loss=0.261449, epoch loss=3.646376
Batch=1079, step=11880, lr=0.150750, batch loss=0.151193, epoch loss=3.797570
Batch=1139, step=11940, lr=0.150500, batch loss=0.183343, epoch loss=3.980913
Batch=1199, step=12000, lr=0.150250, batch loss=0.141633, epoch loss=4.122546
Epoch=9, step=12000, lr=0.150250, epoch loss=4.122546
Batch=59, step=12060, lr=0.150000, batch loss=0.164687, epoch loss=0.164687
Batch=119, step=12120, lr=0.149750, batch loss=0.135513, epoch loss=0.300200
Batch=179, step=12180, lr=0.149500, batch loss=0.152629, epoch loss=0.452828
Batch=239, step=12240, lr=0.149250, batch loss=0.220840, epoch loss=0.673668
Batch=299, step=12300, lr=0.149000, batch loss=0.149427, epoch loss=0.823095
Batch=359, step=12360, lr=0.148750, batch loss=0.198123, epoch loss=1.021218
Batch=419, step=12420, lr=0.148500, batch loss=0.212062, epoch loss=1.233280
Batch=479, step=12480, lr=0.148250, batch loss=0.180709, epoch loss=1.413989
Batch=539, step=12540, lr=0.148000, batch loss=0.146512, epoch loss=1.560501
Batch=599, step=12600, lr=0.147750, batch loss=0.151973, epoch loss=1.712473
Batch=659, step=12660, lr=0.147500, batch loss=0.230803, epoch loss=1.943276
Batch=719, step=12720, lr=0.147250, batch loss=0.239440, epoch loss=2.182716
Batch=779, step=12780, lr=0.147000, batch loss=0.261781, epoch loss=2.444497
Batch=839, step=12840, lr=0.146750, batch loss=0.227503, epoch loss=2.672000
Batch=899, step=12900, lr=0.146500, batch loss=0.192640, epoch loss=2.864640
Batch=959, step=12960, lr=0.146250, batch loss=0.165089, epoch loss=3.029729
Batch=1019, step=13020, lr=0.146000, batch loss=0.266700, epoch loss=3.296428
Batch=1079, step=13080, lr=0.145750, batch loss=0.120176, epoch loss=3.416605
Batch=1139, step=13140, lr=0.145500, batch loss=0.157310, epoch loss=3.573915
Batch=1199, step=13200, lr=0.145250, batch loss=0.120687, epoch loss=3.694602
Epoch=10, step=13200, lr=0.145250, epoch loss=3.694602
Batch=59, step=13260, lr=0.145000, batch loss=0.141990, epoch loss=0.141990
Batch=119, step=13320, lr=0.144750, batch loss=0.119006, epoch loss=0.260996
Batch=179, step=13380, lr=0.144500, batch loss=0.131074, epoch loss=0.392070
Batch=239, step=13440, lr=0.144250, batch loss=0.189665, epoch loss=0.581735
Batch=299, step=13500, lr=0.144000, batch loss=0.122404, epoch loss=0.704139
Batch=359, step=13560, lr=0.143750, batch loss=0.167347, epoch loss=0.871486
Batch=419, step=13620, lr=0.143500, batch loss=0.172483, epoch loss=1.043969
Batch=479, step=13680, lr=0.143250, batch loss=0.152575, epoch loss=1.196544
Batch=539, step=13740, lr=0.143000, batch loss=0.121168, epoch loss=1.317711
Batch=599, step=13800, lr=0.142750, batch loss=0.124186, epoch loss=1.441898
Batch=659, step=13860, lr=0.142500, batch loss=0.182663, epoch loss=1.624561
Batch=719, step=13920, lr=0.142250, batch loss=0.177938, epoch loss=1.802499
Batch=779, step=13980, lr=0.142000, batch loss=0.186311, epoch loss=1.988810
Batch=839, step=14040, lr=0.141750, batch loss=0.206682, epoch loss=2.195492
Batch=899, step=14100, lr=0.141500, batch loss=0.219776, epoch loss=2.415267
Batch=959, step=14160, lr=0.141250, batch loss=0.110017, epoch loss=2.525284
Batch=1019, step=14220, lr=0.141000, batch loss=0.197858, epoch loss=2.723142
Batch=1079, step=14280, lr=0.140750, batch loss=0.086561, epoch loss=2.809704
Batch=1139, step=14340, lr=0.140500, batch loss=0.138836, epoch loss=2.948540
Batch=1199, step=14400, lr=0.140250, batch loss=0.091206, epoch loss=3.039745
Epoch=11, step=14400, lr=0.140250, epoch loss=3.039745
Batch=59, step=14460, lr=0.140000, batch loss=0.111912, epoch loss=0.111912
Batch=119, step=14520, lr=0.139750, batch loss=0.107948, epoch loss=0.219860
Batch=179, step=14580, lr=0.139500, batch loss=0.105064, epoch loss=0.324925
Batch=239, step=14640, lr=0.139250, batch loss=0.147238, epoch loss=0.472163
Batch=299, step=14700, lr=0.139000, batch loss=0.082147, epoch loss=0.554310
Batch=359, step=14760, lr=0.138750, batch loss=0.124791, epoch loss=0.679100
Batch=419, step=14820, lr=0.138500, batch loss=0.132419, epoch loss=0.811519
Batch=479, step=14880, lr=0.138250, batch loss=0.105465, epoch loss=0.916984
Batch=539, step=14940, lr=0.138000, batch loss=0.098565, epoch loss=1.015550
Batch=599, step=15000, lr=0.137750, batch loss=0.089848, epoch loss=1.105398
Batch=659, step=15060, lr=0.137500, batch loss=0.144039, epoch loss=1.249437
Batch=719, step=15120, lr=0.137250, batch loss=0.172351, epoch loss=1.421788
Batch=779, step=15180, lr=0.137000, batch loss=0.293200, epoch loss=1.714988
Batch=839, step=15240, lr=0.136750, batch loss=0.145586, epoch loss=1.860574
Batch=899, step=15300, lr=0.136500, batch loss=0.149057, epoch loss=2.009630
Batch=959, step=15360, lr=0.136250, batch loss=0.082646, epoch loss=2.092276
Batch=1019, step=15420, lr=0.136000, batch loss=0.168042, epoch loss=2.260319
Batch=1079, step=15480, lr=0.135750, batch loss=0.045260, epoch loss=2.305579
Batch=1139, step=15540, lr=0.135500, batch loss=0.103042, epoch loss=2.408621
Batch=1199, step=15600, lr=0.135250, batch loss=0.064493, epoch loss=2.473115
Epoch=12, step=15600, lr=0.135250, epoch loss=2.473115
Batch=59, step=15660, lr=0.135000, batch loss=0.090373, epoch loss=0.090373
Batch=119, step=15720, lr=0.134750, batch loss=0.151832, epoch loss=0.242205
Batch=179, step=15780, lr=0.134500, batch loss=0.107409, epoch loss=0.349615
Batch=239, step=15840, lr=0.134250, batch loss=0.106382, epoch loss=0.455997
Batch=299, step=15900, lr=0.134000, batch loss=0.046672, epoch loss=0.502669
Batch=359, step=15960, lr=0.133750, batch loss=0.089152, epoch loss=0.591821
Batch=419, step=16020, lr=0.133500, batch loss=0.085803, epoch loss=0.677624
Batch=479, step=16080, lr=0.133250, batch loss=0.067110, epoch loss=0.744734
Batch=539, step=16140, lr=0.133000, batch loss=0.059669, epoch loss=0.804402
Batch=599, step=16200, lr=0.132750, batch loss=0.100944, epoch loss=0.905347
Batch=659, step=16260, lr=0.132500, batch loss=0.083826, epoch loss=0.989172
Batch=719, step=16320, lr=0.132250, batch loss=0.076200, epoch loss=1.065372
Batch=779, step=16380, lr=0.132000, batch loss=0.087889, epoch loss=1.153261
Batch=839, step=16440, lr=0.131750, batch loss=0.115234, epoch loss=1.268496
Batch=899, step=16500, lr=0.131500, batch loss=0.156961, epoch loss=1.425457
Batch=959, step=16560, lr=0.131250, batch loss=0.058295, epoch loss=1.483751
Batch=1019, step=16620, lr=0.131000, batch loss=0.150495, epoch loss=1.634247
Batch=1079, step=16680, lr=0.130750, batch loss=0.021748, epoch loss=1.655995
Batch=1139, step=16740, lr=0.130500, batch loss=0.045610, epoch loss=1.701605
Batch=1199, step=16800, lr=0.130250, batch loss=0.025991, epoch loss=1.727596
Epoch=13, step=16800, lr=0.130250, epoch loss=1.727596
Batch=59, step=16860, lr=0.130000, batch loss=0.043599, epoch loss=0.043599
Batch=119, step=16920, lr=0.129750, batch loss=0.085476, epoch loss=0.129075
Batch=179, step=16980, lr=0.129500, batch loss=0.059613, epoch loss=0.188688
Batch=239, step=17040, lr=0.129250, batch loss=0.063302, epoch loss=0.251989
Batch=299, step=17100, lr=0.129000, batch loss=0.026239, epoch loss=0.278228
Batch=359, step=17160, lr=0.128750, batch loss=0.056807, epoch loss=0.335036
Batch=419, step=17220, lr=0.128500, batch loss=0.110016, epoch loss=0.445052
Batch=479, step=17280, lr=0.128250, batch loss=0.027795, epoch loss=0.472847
Batch=539, step=17340, lr=0.128000, batch loss=0.031559, epoch loss=0.504407
Batch=599, step=17400, lr=0.127750, batch loss=0.047471, epoch loss=0.551878
Batch=659, step=17460, lr=0.127500, batch loss=0.052749, epoch loss=0.604627
Batch=719, step=17520, lr=0.127250, batch loss=0.055238, epoch loss=0.659865
Batch=779, step=17580, lr=0.127000, batch loss=0.072751, epoch loss=0.732616
Batch=839, step=17640, lr=0.126750, batch loss=0.125145, epoch loss=0.857760
Batch=899, step=17700, lr=0.126500, batch loss=0.059405, epoch loss=0.917165
Batch=959, step=17760, lr=0.126250, batch loss=0.019333, epoch loss=0.936498
Batch=1019, step=17820, lr=0.126000, batch loss=0.031627, epoch loss=0.968125
Batch=1079, step=17880, lr=0.125750, batch loss=0.015930, epoch loss=0.984056
Batch=1139, step=17940, lr=0.125500, batch loss=0.045263, epoch loss=1.029319
Batch=1199, step=18000, lr=0.125250, batch loss=0.018001, epoch loss=1.047320
Epoch=14, step=18000, lr=0.125250, epoch loss=1.047320
Batch=59, step=18060, lr=0.125000, batch loss=0.015046, epoch loss=0.015046
Batch=119, step=18120, lr=0.124750, batch loss=0.024590, epoch loss=0.039636
Batch=179, step=18180, lr=0.124500, batch loss=0.030753, epoch loss=0.070389
Batch=239, step=18240, lr=0.124250, batch loss=0.036909, epoch loss=0.107298
Batch=299, step=18300, lr=0.124000, batch loss=0.009676, epoch loss=0.116974
Batch=359, step=18360, lr=0.123750, batch loss=0.025540, epoch loss=0.142514
Batch=419, step=18420, lr=0.123500, batch loss=0.030765, epoch loss=0.173279
Batch=479, step=18480, lr=0.123250, batch loss=0.020131, epoch loss=0.193410
Batch=539, step=18540, lr=0.123000, batch loss=0.040395, epoch loss=0.233805
Batch=599, step=18600, lr=0.122750, batch loss=0.026597, epoch loss=0.260402
Batch=659, step=18660, lr=0.122500, batch loss=0.036561, epoch loss=0.296963
Batch=719, step=18720, lr=0.122250, batch loss=0.034739, epoch loss=0.331702
Batch=779, step=18780, lr=0.122000, batch loss=0.099071, epoch loss=0.430773
Batch=839, step=18840, lr=0.121750, batch loss=0.087338, epoch loss=0.518111
Batch=899, step=18900, lr=0.121500, batch loss=0.118498, epoch loss=0.636609
Batch=959, step=18960, lr=0.121250, batch loss=0.017197, epoch loss=0.653807
Batch=1019, step=19020, lr=0.121000, batch loss=0.025655, epoch loss=0.679462
Batch=1079, step=19080, lr=0.120750, batch loss=0.004991, epoch loss=0.684453
Batch=1139, step=19140, lr=0.120250, batch loss=0.028289, epoch loss=0.712742
Batch=1199, step=19200, lr=0.120250, batch loss=0.012255, epoch loss=0.724997
Epoch=15, step=19200, lr=0.120250, epoch loss=0.724997
Batch=59, step=19260, lr=0.120000, batch loss=0.007668, epoch loss=0.007668
Batch=119, step=19320, lr=0.119750, batch loss=0.021374, epoch loss=0.029043
Batch=179, step=19380, lr=0.119250, batch loss=0.062066, epoch loss=0.091109
Batch=239, step=19440, lr=0.119250, batch loss=0.028073, epoch loss=0.119181
Batch=299, step=19500, lr=0.119000, batch loss=0.011209, epoch loss=0.130390
Batch=359, step=19560, lr=0.118750, batch loss=0.026472, epoch loss=0.156862
Batch=419, step=19620, lr=0.118500, batch loss=0.022063, epoch loss=0.178926
Batch=479, step=19680, lr=0.118250, batch loss=0.012766, epoch loss=0.191692
Batch=539, step=19740, lr=0.118000, batch loss=0.019258, epoch loss=0.210950
Batch=599, step=19800, lr=0.117750, batch loss=0.020649, epoch loss=0.231598
Batch=659, step=19860, lr=0.117500, batch loss=0.020205, epoch loss=0.251803
Batch=719, step=19920, lr=0.117250, batch loss=0.027859, epoch loss=0.279662
Batch=779, step=19980, lr=0.117000, batch loss=0.061784, epoch loss=0.341445
Batch=839, step=20040, lr=0.116750, batch loss=0.032629, epoch loss=0.374074
Batch=899, step=20100, lr=0.116500, batch loss=0.034455, epoch loss=0.408529
Batch=959, step=20160, lr=0.116250, batch loss=0.016227, epoch loss=0.424756
Batch=1019, step=20220, lr=0.116000, batch loss=0.018670, epoch loss=0.443426
Batch=1079, step=20280, lr=0.115750, batch loss=0.003078, epoch loss=0.446504
Batch=1139, step=20340, lr=0.115500, batch loss=0.015388, epoch loss=0.461892
Batch=1199, step=20400, lr=0.115000, batch loss=0.006571, epoch loss=0.468463
Epoch=16, step=20400, lr=0.115000, epoch loss=0.468463
Batch=59, step=20460, lr=0.115000, batch loss=0.003500, epoch loss=0.003500
Batch=119, step=20520, lr=0.114750, batch loss=0.009137, epoch loss=0.012637
Batch=179, step=20580, lr=0.114250, batch loss=0.015978, epoch loss=0.028615
Batch=239, step=20640, lr=0.114250, batch loss=0.022300, epoch loss=0.050915
Batch=299, step=20700, lr=0.113750, batch loss=0.010144, epoch loss=0.061059
Batch=359, step=20760, lr=0.113750, batch loss=0.013630, epoch loss=0.074689
Batch=419, step=20820, lr=0.113500, batch loss=0.014237, epoch loss=0.088927
Batch=479, step=20880, lr=0.113250, batch loss=0.004165, epoch loss=0.093092
Batch=539, step=20940, lr=0.113000, batch loss=0.015429, epoch loss=0.108521
Batch=599, step=21000, lr=0.112500, batch loss=0.019012, epoch loss=0.127533
Batch=659, step=21060, lr=0.112250, batch loss=0.015103, epoch loss=0.142636
Batch=719, step=21120, lr=0.112000, batch loss=0.044329, epoch loss=0.186965
Batch=779, step=21180, lr=0.112000, batch loss=0.066400, epoch loss=0.253365
Batch=839, step=21240, lr=0.111750, batch loss=0.025177, epoch loss=0.278542
Batch=899, step=21300, lr=0.111500, batch loss=0.029685, epoch loss=0.308227
Batch=959, step=21360, lr=0.111250, batch loss=0.010291, epoch loss=0.318518
Batch=1019, step=21420, lr=0.111000, batch loss=0.010383, epoch loss=0.328900
Batch=1079, step=21480, lr=0.110750, batch loss=0.001891, epoch loss=0.330791
Batch=1139, step=21540, lr=0.110500, batch loss=0.012466, epoch loss=0.343258
Batch=1199, step=21600, lr=0.110250, batch loss=0.004965, epoch loss=0.348223
Epoch=17, step=21600, lr=0.110250, epoch loss=0.348223
Batch=59, step=21660, lr=0.110000, batch loss=0.002336, epoch loss=0.002336
Batch=119, step=21720, lr=0.109750, batch loss=0.006473, epoch loss=0.008809
Batch=179, step=21780, lr=0.109500, batch loss=0.012928, epoch loss=0.021737
Batch=239, step=21840, lr=0.109250, batch loss=0.010350, epoch loss=0.032087
Batch=299, step=21900, lr=0.109000, batch loss=0.001634, epoch loss=0.033721
Batch=359, step=21960, lr=0.108750, batch loss=0.010710, epoch loss=0.044432
Batch=419, step=22020, lr=0.108500, batch loss=0.011358, epoch loss=0.055789
Batch=479, step=22080, lr=0.108250, batch loss=0.003316, epoch loss=0.059105
Batch=539, step=22140, lr=0.108000, batch loss=0.016142, epoch loss=0.075247
Batch=599, step=22200, lr=0.107750, batch loss=0.015170, epoch loss=0.090417
Batch=659, step=22260, lr=0.107500, batch loss=0.012842, epoch loss=0.103259
Batch=719, step=22320, lr=0.107250, batch loss=0.026527, epoch loss=0.129786
Batch=779, step=22380, lr=0.107000, batch loss=0.039760, epoch loss=0.169547
Batch=839, step=22440, lr=0.106750, batch loss=0.021954, epoch loss=0.191500
Batch=899, step=22500, lr=0.106500, batch loss=0.020874, epoch loss=0.212374
Batch=959, step=22560, lr=0.106250, batch loss=0.010230, epoch loss=0.222603
Batch=1019, step=22620, lr=0.106000, batch loss=0.010341, epoch loss=0.232945
Batch=1079, step=22680, lr=0.105750, batch loss=0.000565, epoch loss=0.233510
Batch=1139, step=22740, lr=0.105500, batch loss=0.010118, epoch loss=0.243628
Batch=1199, step=22800, lr=0.105250, batch loss=0.004345, epoch loss=0.247973
Epoch=18, step=22800, lr=0.105250, epoch loss=0.247973
Batch=59, step=22860, lr=0.105000, batch loss=0.001297, epoch loss=0.001297
Batch=119, step=22920, lr=0.104500, batch loss=0.005007, epoch loss=0.006304
Batch=179, step=22980, lr=0.104500, batch loss=0.010920, epoch loss=0.017224
Batch=239, step=23040, lr=0.104250, batch loss=0.009551, epoch loss=0.026774
Batch=299, step=23100, lr=0.104000, batch loss=0.012543, epoch loss=0.039318
Batch=359, step=23160, lr=0.103750, batch loss=0.011459, epoch loss=0.050776
Batch=419, step=23220, lr=0.103500, batch loss=0.010146, epoch loss=0.060923
Batch=479, step=23280, lr=0.103000, batch loss=0.002486, epoch loss=0.063409
Batch=539, step=23340, lr=0.103000, batch loss=0.017005, epoch loss=0.080414
Batch=599, step=23400, lr=0.102750, batch loss=0.014672, epoch loss=0.095085
Batch=659, step=23460, lr=0.102500, batch loss=0.013832, epoch loss=0.108917
Batch=719, step=23520, lr=0.102250, batch loss=0.019443, epoch loss=0.128361
Batch=779, step=23580, lr=0.102000, batch loss=0.025629, epoch loss=0.153989
Batch=839, step=23640, lr=0.101750, batch loss=0.028404, epoch loss=0.182394
Batch=899, step=23700, lr=0.101500, batch loss=0.021432, epoch loss=0.203825
Batch=959, step=23760, lr=0.101250, batch loss=0.009771, epoch loss=0.213596
Batch=1019, step=23820, lr=0.101000, batch loss=0.007384, epoch loss=0.220981
Batch=1079, step=23880, lr=0.100750, batch loss=0.001144, epoch loss=0.222125
Batch=1139, step=23940, lr=0.100500, batch loss=0.008807, epoch loss=0.230932
Batch=1199, step=24000, lr=0.100250, batch loss=0.004555, epoch loss=0.235487
Epoch=19, step=24000, lr=0.100250, epoch loss=0.235487


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 15:23.20 ---> saved as "4f65cca0d5ebde38759bfa237105bf7e162f3ad0ea5637a3ebbb0fe1c3108187"
Job succeeded
2025-03-21 15:23.27: Job succeeded