fedora-41-5.3_opam-2.3

2025-03-20 14:55.23: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (367be2655cf44dcf622960079750a99cdec03fe8) (linux-x86_64:fedora-41-5.3_opam-2.3)
Base: ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 367be265
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925
# fedora-41-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo dnf install -y findutils
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 14:55.23: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925-fedora-41-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-20 14:55.23: Using OBuilder spec:
((from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925)
(comment fedora-41-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (network host)
(shell "sudo dnf install -y findutils"))
(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 14:55.23: Waiting for resource in pool OCluster
2025-03-20 14:55.23: Waiting for worker…
2025-03-20 16:33.43: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 367be265 Load log_level earlier to consistently log all settings


(from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925)
2025-03-20 16:33.43 ---> using "189447b5abf4f84b3141564fa16299d77370e888a929cebc6495802de6bce562" from cache


/: (comment fedora-41-5.3_opam-2.3)


/: (user (uid 1000) (gid 1000))


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (network host)
(shell "sudo dnf install -y findutils"))
Updating and loading repositories:
Fedora 41 - x86_64 - Updates           100% | 171.6 KiB/s |  23.7 KiB |  00m00s
Fedora 41 - x86_64                     100% | 200.2 KiB/s |  26.8 KiB |  00m00s
Fedora 41 - x86_64 - Updates           100% |   4.9 MiB/s |   4.4 MiB |  00m01s
Repositories loaded.
Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed.


Nothing to do.
2025-03-20 16:33.43 ---> using "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57" from cache


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-20 16:33.43 ---> using "92a7f2480fc833b8b6e6f7c055e96edecd7a23b7a1425abe59b46f58f5769a58" 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 16:33.43 ---> using "22323ebe734803b688970a8a4b44abf93aa58863ccedfb0ae4ead813beb5698c" 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 16:33.43 ---> using "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 16:33.43 ---> using "b766911cfcef799c6c2bb8aec82e30e2bd662c95ed64a05054ff7a173457d537" 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 16:35.05 ---> saved as "ece3a959e2ef17442b29b6ddfc99e8140b85a2f969c4a3b7d543a174bcd5db3d"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 16:35.06 ---> saved as "a7995f649c73d9e2babfcd97b0e8e8ffa838d8e1a37a5b41cef0fa20c5171493"


/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 16:35.10 ---> saved as "0a48fa20bdf4e6bdf92de50ad1b179566e59a5d19580d481942ca723221ad166"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 16:35.10 ---> saved as "e5fa21efb6ec9bcee7c096aa55a7baad8cdd660b0019042e49dcb36e3acc6d45"


/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 "yum" "makecache"
- Updating and loading repositories:
- Repositories loaded.
- Metadata cache created.


<><> 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-devel


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


+ /usr/bin/sudo "yum" "install" "-y" "libffi-devel"
- Updating and loading repositories:
- Repositories loaded.
- Package       Arch   Version      Repository      Size
- Installing:
-  libffi-devel x86_64 3.4.6-3.fc41 fedora      33.1 KiB
- 
- Transaction Summary:
-  Installing:         1 package
- 
- Total size of inbound packages is 29 KiB. Need to download 29 KiB.
- After this operation, 33 KiB extra will be used (install 33 KiB, remove 0 B).
- [1/1] libffi-devel-0:3.4.6-3.fc41.x86_6 100% | 368.8 KiB/s |  28.8 KiB |  00m00s
- --------------------------------------------------------------------------------
- [1/1] Total                             100% | 107.3 KiB/s |  28.8 KiB |  00m00s
- Running transaction
- [1/3] Verify package files              100% |   1.0 KiB/s |   1.0   B |  00m00s
- [2/3] Prepare transaction               100% |  20.0   B/s |   1.0   B |  00m00s
- [3/3] Installing libffi-devel-0:3.4.6-3 100% | 378.2 KiB/s |  34.8 KiB |  00m00s
- Complete!
+ /usr/bin/rpm "-q" "--whatprovides" "libffi-devel"
- libffi-devel-3.4.6-3.fc41.x86_64
2025-03-20 16:35.49 ---> saved as "ec2cd6f2dd31abf670c32d6062964da56a43e5a89a2f82d108cb5a2ddba5eba7"


/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 angstrom.0.16.1  (cached)
-> retrieved bigarray-compat.1.1.0  (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 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_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved re.1.12.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (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 tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed 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 multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed cppo.1.8.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed re.1.12.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed integers.0.7.0
-> installed saturn_lockfree.0.5.0
-> 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 uucp.16.0.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> 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 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_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> 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 16:38.13 ---> saved as "7921041fe58f6d2d694d077196babd22dfea63ab7b6a5facc67bb1556370f14b"


/src: (copy (src .) (dst /src))
2025-03-20 16:38.15 ---> saved as "26816058ecbf6f516d6bfaf209d562290cba010685a9cfb7c83b103784883e86"


/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/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/ee9278274e8854c4ca3f970d6337e2ab/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3e28c1499cbca8759db20933230b2304/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/3e28c1499cbca8759db20933230b2304/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=0.199250, batch loss=2.639251, epoch loss=34.765630
Batch=239, step=240, lr=0.199000, batch loss=0.852304, epoch loss=35.617934
Batch=299, step=300, lr=0.199000, batch loss=1.444952, epoch loss=37.062886
Batch=359, step=360, lr=0.198750, batch loss=1.338572, epoch loss=38.401458
Batch=419, step=420, lr=0.198500, batch loss=0.613822, epoch loss=39.015280
Batch=479, step=480, lr=0.198250, batch loss=0.795514, epoch loss=39.810793
Batch=539, step=540, lr=0.198000, batch loss=0.650914, epoch loss=40.461707
Batch=599, step=600, lr=0.197750, batch loss=1.085739, epoch loss=41.547445
Batch=659, step=660, lr=0.197500, batch loss=0.482266, epoch loss=42.029711
Batch=719, step=720, lr=0.197250, batch loss=0.412679, epoch loss=42.442390
Batch=779, step=780, lr=0.197000, batch loss=0.470681, epoch loss=42.913071
Batch=839, step=840, lr=0.196750, batch loss=0.445094, epoch loss=43.358164
Batch=899, step=900, lr=0.196500, batch loss=0.386137, epoch loss=43.744301
Batch=959, step=960, lr=0.196250, batch loss=0.251508, epoch loss=43.995809
Batch=1019, step=1020, lr=0.196000, batch loss=0.470755, epoch loss=44.466564
Batch=1079, step=1080, lr=0.195750, batch loss=0.247922, epoch loss=44.714487
Batch=1139, step=1140, lr=0.195500, batch loss=0.318581, epoch loss=45.033068
Batch=1199, step=1200, lr=0.195250, batch loss=0.265926, epoch loss=45.298993
Epoch=0, step=1200, lr=0.195250, epoch loss=45.298993
Batch=59, step=1260, lr=0.195000, batch loss=0.264235, epoch loss=0.264235
Batch=119, step=1320, lr=0.194750, batch loss=0.205923, epoch loss=0.470158
Batch=179, step=1380, lr=0.194500, batch loss=0.245563, epoch loss=0.715720
Batch=239, step=1440, lr=0.194250, batch loss=0.348726, epoch loss=1.064447
Batch=299, step=1500, lr=0.194000, batch loss=0.240764, epoch loss=1.305211
Batch=359, step=1560, lr=0.193750, batch loss=0.315448, epoch loss=1.620659
Batch=419, step=1620, lr=0.193500, batch loss=0.309961, epoch loss=1.930619
Batch=479, step=1680, lr=0.193250, batch loss=0.277741, epoch loss=2.208360
Batch=539, step=1740, lr=0.193000, batch loss=0.210279, epoch loss=2.418639
Batch=599, step=1800, lr=0.192750, batch loss=0.244146, epoch loss=2.662785
Batch=659, step=1860, lr=0.192500, batch loss=0.363633, epoch loss=3.026419
Batch=719, step=1920, lr=0.192250, batch loss=0.355257, epoch loss=3.381676
Batch=779, step=1980, lr=0.191750, batch loss=0.378449, epoch loss=3.760125
Batch=839, step=2040, lr=0.191500, batch loss=0.340914, epoch loss=4.101040
Batch=899, step=2100, lr=0.191250, batch loss=0.296740, epoch loss=4.397780
Batch=959, step=2160, lr=0.191250, batch loss=0.209015, epoch loss=4.606795
Batch=1019, step=2220, lr=0.191000, batch loss=0.329119, epoch loss=4.935914
Batch=1079, step=2280, lr=0.190500, batch loss=0.193879, epoch loss=5.129793
Batch=1139, step=2340, lr=0.190250, batch loss=0.264469, epoch loss=5.394263
Batch=1199, step=2400, lr=0.190250, batch loss=0.212923, epoch loss=5.607185
Epoch=1, step=2400, lr=0.190250, epoch loss=5.607185
Batch=59, step=2460, lr=0.189750, batch loss=0.231781, epoch loss=0.231781
Batch=119, step=2520, lr=0.189500, batch loss=0.197814, epoch loss=0.429595
Batch=179, step=2580, lr=0.189250, batch loss=0.219992, epoch loss=0.649587
Batch=239, step=2640, lr=0.189250, batch loss=0.327662, epoch loss=0.977249
Batch=299, step=2700, lr=0.188750, batch loss=0.205858, epoch loss=1.183107
Batch=359, step=2760, lr=0.188500, batch loss=0.295472, epoch loss=1.478580
Batch=419, step=2820, lr=0.188500, batch loss=0.284987, epoch loss=1.763566
Batch=479, step=2880, lr=0.188250, batch loss=0.263323, epoch loss=2.026889
Batch=539, step=2940, lr=0.188000, batch loss=0.210274, epoch loss=2.237164
Batch=599, step=3000, lr=0.187750, batch loss=0.261921, epoch loss=2.499084
Batch=659, step=3060, lr=0.187500, batch loss=0.361050, epoch loss=2.860134
Batch=719, step=3120, lr=0.187250, batch loss=0.353884, epoch loss=3.214018
Batch=779, step=3180, lr=0.187000, batch loss=0.363969, epoch loss=3.577987
Batch=839, step=3240, lr=0.186750, batch loss=0.327165, epoch loss=3.905153
Batch=899, step=3300, lr=0.186500, batch loss=0.295342, epoch loss=4.200495
Batch=959, step=3360, lr=0.186250, batch loss=0.228903, epoch loss=4.429398
Batch=1019, step=3420, lr=0.186000, batch loss=0.340581, epoch loss=4.769979
Batch=1079, step=3480, lr=0.185750, batch loss=0.195204, epoch loss=4.965183
Batch=1139, step=3540, lr=0.185500, batch loss=0.252727, epoch loss=5.217910
Batch=1199, step=3600, lr=0.185250, batch loss=0.200365, epoch loss=5.418274
Epoch=2, step=3600, lr=0.185250, epoch loss=5.418274
Batch=59, step=3660, lr=0.185000, batch loss=0.227953, epoch loss=0.227953
Batch=119, step=3720, lr=0.184750, batch loss=0.197083, epoch loss=0.425036
Batch=179, step=3780, lr=0.184500, batch loss=0.214058, epoch loss=0.639094
Batch=239, step=3840, lr=0.184250, batch loss=0.318424, epoch loss=0.957517
Batch=299, step=3900, lr=0.184000, batch loss=0.210703, epoch loss=1.168220
Batch=359, step=3960, lr=0.183750, batch loss=0.294335, epoch loss=1.462554
Batch=419, step=4020, lr=0.183500, batch loss=0.307762, epoch loss=1.770317
Batch=479, step=4080, lr=0.183250, batch loss=0.256472, epoch loss=2.026789
Batch=539, step=4140, lr=0.183000, batch loss=0.201303, epoch loss=2.228092
Batch=599, step=4200, lr=0.182750, batch loss=0.244439, epoch loss=2.472531
Batch=659, step=4260, lr=0.182500, batch loss=0.329843, epoch loss=2.802374
Batch=719, step=4320, lr=0.182250, batch loss=0.325146, epoch loss=3.127520
Batch=779, step=4380, lr=0.182000, batch loss=0.348758, epoch loss=3.476277
Batch=839, step=4440, lr=0.181750, batch loss=0.319420, epoch loss=3.795697
Batch=899, step=4500, lr=0.181500, batch loss=0.293029, epoch loss=4.088726
Batch=959, step=4560, lr=0.181250, batch loss=0.243423, epoch loss=4.332149
Batch=1019, step=4620, lr=0.181000, batch loss=0.338842, epoch loss=4.670991
Batch=1079, step=4680, lr=0.180750, batch loss=0.202447, epoch loss=4.873438
Batch=1139, step=4740, lr=0.180500, batch loss=0.243836, epoch loss=5.117274
Batch=1199, step=4800, lr=0.180250, batch loss=0.192640, epoch loss=5.309914
Epoch=3, step=4800, lr=0.180250, epoch loss=5.309914
Batch=59, step=4860, lr=0.180000, batch loss=0.229193, epoch loss=0.229193
Batch=119, step=4920, lr=0.179750, batch loss=0.189553, epoch loss=0.418746
Batch=179, step=4980, lr=0.179500, batch loss=0.206557, epoch loss=0.625303
Batch=239, step=5040, lr=0.179250, batch loss=0.308217, epoch loss=0.933520
Batch=299, step=5100, lr=0.179000, batch loss=0.208659, epoch loss=1.142180
Batch=359, step=5160, lr=0.178750, batch loss=0.274785, epoch loss=1.416965
Batch=419, step=5220, lr=0.178500, batch loss=0.264989, epoch loss=1.681954
Batch=479, step=5280, lr=0.178250, batch loss=0.240489, epoch loss=1.922442
Batch=539, step=5340, lr=0.178000, batch loss=0.190236, epoch loss=2.112679
Batch=599, step=5400, lr=0.177750, batch loss=0.231801, epoch loss=2.344480
Batch=659, step=5460, lr=0.177500, batch loss=0.324446, epoch loss=2.668926
Batch=719, step=5520, lr=0.177250, batch loss=0.325767, epoch loss=2.994694
Batch=779, step=5580, lr=0.177000, batch loss=0.339743, epoch loss=3.334436
Batch=839, step=5640, lr=0.176500, batch loss=0.314087, epoch loss=3.648524
Batch=899, step=5700, lr=0.176500, batch loss=0.279688, epoch loss=3.928212
Batch=959, step=5760, lr=0.176250, batch loss=0.220586, epoch loss=4.148798
Batch=1019, step=5820, lr=0.176000, batch loss=0.333401, epoch loss=4.482198
Batch=1079, step=5880, lr=0.175750, batch loss=0.197656, epoch loss=4.679855
Batch=1139, step=5940, lr=0.175500, batch loss=0.239119, epoch loss=4.918973
Batch=1199, step=6000, lr=0.175250, batch loss=0.186484, epoch loss=5.105458
Epoch=4, step=6000, lr=0.175250, epoch loss=5.105458
Batch=59, step=6060, lr=0.175000, batch loss=0.226236, epoch loss=0.226236
Batch=119, step=6120, lr=0.174750, batch loss=0.184985, epoch loss=0.411221
Batch=179, step=6180, lr=0.174500, batch loss=0.201940, epoch loss=0.613161
Batch=239, step=6240, lr=0.174250, batch loss=0.301316, epoch loss=0.914477
Batch=299, step=6300, lr=0.174000, batch loss=0.203942, epoch loss=1.118419
Batch=359, step=6360, lr=0.173750, batch loss=0.261964, epoch loss=1.380383
Batch=419, step=6420, lr=0.173500, batch loss=0.258060, epoch loss=1.638443
Batch=479, step=6480, lr=0.173250, batch loss=0.233784, epoch loss=1.872227
Batch=539, step=6540, lr=0.173000, batch loss=0.186637, epoch loss=2.058864
Batch=599, step=6600, lr=0.172750, batch loss=0.229240, epoch loss=2.288104
Batch=659, step=6660, lr=0.172500, batch loss=0.316428, epoch loss=2.604531
Batch=719, step=6720, lr=0.172250, batch loss=0.315198, epoch loss=2.919729
Batch=779, step=6780, lr=0.172000, batch loss=0.332306, epoch loss=3.252035
Batch=839, step=6840, lr=0.171750, batch loss=0.304834, epoch loss=3.556869
Batch=899, step=6900, lr=0.171500, batch loss=0.267211, epoch loss=3.824080
Batch=959, step=6960, lr=0.171250, batch loss=0.213950, epoch loss=4.038030
Batch=1019, step=7020, lr=0.171000, batch loss=0.327420, epoch loss=4.365450
Batch=1079, step=7080, lr=0.170750, batch loss=0.175572, epoch loss=4.541021
Batch=1139, step=7140, lr=0.170500, batch loss=0.213098, epoch loss=4.754119
Batch=1199, step=7200, lr=0.170250, batch loss=0.190910, epoch loss=4.945029
Epoch=5, step=7200, lr=0.170250, epoch loss=4.945029
Batch=59, step=7260, lr=0.170000, batch loss=0.224316, epoch loss=0.224316
Batch=119, step=7320, lr=0.169750, batch loss=0.191643, epoch loss=0.415959
Batch=179, step=7380, lr=0.169500, batch loss=0.194990, epoch loss=0.610950
Batch=239, step=7440, lr=0.169250, batch loss=0.292745, epoch loss=0.903695
Batch=299, step=7500, lr=0.169000, batch loss=0.208034, epoch loss=1.111729
Batch=359, step=7560, lr=0.168750, batch loss=0.262130, epoch loss=1.373859
Batch=419, step=7620, lr=0.168500, batch loss=0.254277, epoch loss=1.628136
Batch=479, step=7680, lr=0.168250, batch loss=0.240369, epoch loss=1.868505
Batch=539, step=7740, lr=0.168000, batch loss=0.185218, epoch loss=2.053722
Batch=599, step=7800, lr=0.167750, batch loss=0.226654, epoch loss=2.280376
Batch=659, step=7860, lr=0.167500, batch loss=0.306108, epoch loss=2.586484
Batch=719, step=7920, lr=0.167250, batch loss=0.308316, epoch loss=2.894800
Batch=779, step=7980, lr=0.167000, batch loss=0.322052, epoch loss=3.216852
Batch=839, step=8040, lr=0.166750, batch loss=0.296908, epoch loss=3.513760
Batch=899, step=8100, lr=0.166250, batch loss=0.259807, epoch loss=3.773568
Batch=959, step=8160, lr=0.166250, batch loss=0.209968, epoch loss=3.983536
Batch=1019, step=8220, lr=0.166000, batch loss=0.318695, epoch loss=4.302231
Batch=1079, step=8280, lr=0.165750, batch loss=0.170196, epoch loss=4.472427
Batch=1139, step=8340, lr=0.165500, batch loss=0.207640, epoch loss=4.680066
Batch=1199, step=8400, lr=0.165250, batch loss=0.179801, epoch loss=4.859867
Epoch=6, step=8400, lr=0.165250, epoch loss=4.859867
Batch=59, step=8460, lr=0.165000, batch loss=0.227740, epoch loss=0.227740
Batch=119, step=8520, lr=0.164750, batch loss=0.177081, epoch loss=0.404821
Batch=179, step=8580, lr=0.164500, batch loss=0.188064, epoch loss=0.592884
Batch=239, step=8640, lr=0.164250, batch loss=0.279923, epoch loss=0.872808
Batch=299, step=8700, lr=0.164000, batch loss=0.196671, epoch loss=1.069479
Batch=359, step=8760, lr=0.163750, batch loss=0.254486, epoch loss=1.323965
Batch=419, step=8820, lr=0.163500, batch loss=0.247040, epoch loss=1.571004
Batch=479, step=8880, lr=0.163250, batch loss=0.229472, epoch loss=1.800476
Batch=539, step=8940, lr=0.163000, batch loss=0.180247, epoch loss=1.980723
Batch=599, step=9000, lr=0.162750, batch loss=0.218701, epoch loss=2.199425
Batch=659, step=9060, lr=0.162500, batch loss=0.295142, epoch loss=2.494567
Batch=719, step=9120, lr=0.162250, batch loss=0.294083, epoch loss=2.788650
Batch=779, step=9180, lr=0.162000, batch loss=0.317688, epoch loss=3.106338
Batch=839, step=9240, lr=0.161750, batch loss=0.286534, epoch loss=3.392872
Batch=899, step=9300, lr=0.161500, batch loss=0.252711, epoch loss=3.645583
Batch=959, step=9360, lr=0.161250, batch loss=0.187786, epoch loss=3.833369
Batch=1019, step=9420, lr=0.161000, batch loss=0.316245, epoch loss=4.149614
Batch=1079, step=9480, lr=0.160750, batch loss=0.204988, epoch loss=4.354603
Batch=1139, step=9540, lr=0.160500, batch loss=0.217913, epoch loss=4.572516
Batch=1199, step=9600, lr=0.160250, batch loss=0.167199, epoch loss=4.739715
Epoch=7, step=9600, lr=0.160250, epoch loss=4.739715
Batch=59, step=9660, lr=0.160000, batch loss=0.197202, epoch loss=0.197202
Batch=119, step=9720, lr=0.159750, batch loss=0.166582, epoch loss=0.363784
Batch=179, step=9780, lr=0.159500, batch loss=0.179549, epoch loss=0.543333
Batch=239, step=9840, lr=0.159250, batch loss=0.263205, epoch loss=0.806538
Batch=299, step=9900, lr=0.159000, batch loss=0.183281, epoch loss=0.989818
Batch=359, step=9960, lr=0.158750, batch loss=0.241444, epoch loss=1.231262
Batch=419, step=10020, lr=0.158500, batch loss=0.233641, epoch loss=1.464903
Batch=479, step=10080, lr=0.158250, batch loss=0.215292, epoch loss=1.680196
Batch=539, step=10140, lr=0.158000, batch loss=0.171285, epoch loss=1.851480
Batch=599, step=10200, lr=0.157750, batch loss=0.203186, epoch loss=2.054666
Batch=659, step=10260, lr=0.157500, batch loss=0.282808, epoch loss=2.337474
Batch=719, step=10320, lr=0.157000, batch loss=0.288626, epoch loss=2.626100
Batch=779, step=10380, lr=0.157000, batch loss=0.296392, epoch loss=2.922492
Batch=839, step=10440, lr=0.156750, batch loss=0.267992, epoch loss=3.190484
Batch=899, step=10500, lr=0.156500, batch loss=0.245769, epoch loss=3.436253
Batch=959, step=10560, lr=0.156250, batch loss=0.194817, epoch loss=3.631070
Batch=1019, step=10620, lr=0.156000, batch loss=0.283680, epoch loss=3.914750
Batch=1079, step=10680, lr=0.155750, batch loss=0.167765, epoch loss=4.082515
Batch=1139, step=10740, lr=0.155500, batch loss=0.195456, epoch loss=4.277972
Batch=1199, step=10800, lr=0.155250, batch loss=0.155012, epoch loss=4.432984
Epoch=8, step=10800, lr=0.155250, epoch loss=4.432984
Batch=59, step=10860, lr=0.155000, batch loss=0.188024, epoch loss=0.188024
Batch=119, step=10920, lr=0.154750, batch loss=0.152255, epoch loss=0.340279
Batch=179, step=10980, lr=0.154500, batch loss=0.166946, epoch loss=0.507225
Batch=239, step=11040, lr=0.154250, batch loss=0.241505, epoch loss=0.748730
Batch=299, step=11100, lr=0.154000, batch loss=0.174529, epoch loss=0.923258
Batch=359, step=11160, lr=0.153750, batch loss=0.223294, epoch loss=1.146552
Batch=419, step=11220, lr=0.153500, batch loss=0.230749, epoch loss=1.377301
Batch=479, step=11280, lr=0.153250, batch loss=0.203869, epoch loss=1.581169
Batch=539, step=11340, lr=0.152750, batch loss=0.161282, epoch loss=1.742451
Batch=599, step=11400, lr=0.152750, batch loss=0.185416, epoch loss=1.927867
Batch=659, step=11460, lr=0.152500, batch loss=0.266887, epoch loss=2.194754
Batch=719, step=11520, lr=0.152250, batch loss=0.253148, epoch loss=2.447902
Batch=779, step=11580, lr=0.152000, batch loss=0.274120, epoch loss=2.722021
Batch=839, step=11640, lr=0.151750, batch loss=0.255838, epoch loss=2.977860
Batch=899, step=11700, lr=0.151500, batch loss=0.219006, epoch loss=3.196866
Batch=959, step=11760, lr=0.151250, batch loss=0.184461, epoch loss=3.381327
Batch=1019, step=11820, lr=0.151000, batch loss=0.278925, epoch loss=3.660252
Batch=1079, step=11880, lr=0.150750, batch loss=0.162278, epoch loss=3.822530
Batch=1139, step=11940, lr=0.150500, batch loss=0.190312, epoch loss=4.012842
Batch=1199, step=12000, lr=0.150250, batch loss=0.140181, epoch loss=4.153023
Epoch=9, step=12000, lr=0.150250, epoch loss=4.153023
Batch=59, step=12060, lr=0.150000, batch loss=0.157879, epoch loss=0.157879
Batch=119, step=12120, lr=0.149750, batch loss=0.128380, epoch loss=0.286260
Batch=179, step=12180, lr=0.149250, batch loss=0.152908, epoch loss=0.439167
Batch=239, step=12240, lr=0.149250, batch loss=0.223473, epoch loss=0.662640
Batch=299, step=12300, lr=0.149000, batch loss=0.144439, epoch loss=0.807079
Batch=359, step=12360, lr=0.148750, batch loss=0.196226, epoch loss=1.003305
Batch=419, step=12420, lr=0.148500, batch loss=0.208957, epoch loss=1.212262
Batch=479, step=12480, lr=0.148250, batch loss=0.179713, epoch loss=1.391975
Batch=539, step=12540, lr=0.147750, batch loss=0.144210, epoch loss=1.536185
Batch=599, step=12600, lr=0.147750, batch loss=0.151997, epoch loss=1.688182
Batch=659, step=12660, lr=0.147500, batch loss=0.226329, epoch loss=1.914512
Batch=719, step=12720, lr=0.147250, batch loss=0.235437, epoch loss=2.149948
Batch=779, step=12780, lr=0.147000, batch loss=0.254912, epoch loss=2.404861
Batch=839, step=12840, lr=0.146500, batch loss=0.233790, epoch loss=2.638651
Batch=899, step=12900, lr=0.146250, batch loss=0.217705, epoch loss=2.856355
Batch=959, step=12960, lr=0.146250, batch loss=0.153860, epoch loss=3.010215
Batch=1019, step=13020, lr=0.145750, batch loss=0.264367, epoch loss=3.274582
Batch=1079, step=13080, lr=0.145750, batch loss=0.114289, epoch loss=3.388871
Batch=1139, step=13140, lr=0.145500, batch loss=0.157286, epoch loss=3.546157
Batch=1199, step=13200, lr=0.145250, batch loss=0.119542, epoch loss=3.665699
Epoch=10, step=13200, lr=0.145250, epoch loss=3.665699
Batch=59, step=13260, lr=0.145000, batch loss=0.145201, epoch loss=0.145201
Batch=119, step=13320, lr=0.144750, batch loss=0.120492, epoch loss=0.265693
Batch=179, step=13380, lr=0.144500, batch loss=0.129959, epoch loss=0.395652
Batch=239, step=13440, lr=0.144250, batch loss=0.191535, epoch loss=0.587187
Batch=299, step=13500, lr=0.144000, batch loss=0.116304, epoch loss=0.703491
Batch=359, step=13560, lr=0.143750, batch loss=0.162443, epoch loss=0.865934
Batch=419, step=13620, lr=0.143500, batch loss=0.162237, epoch loss=1.028170
Batch=479, step=13680, lr=0.143250, batch loss=0.150554, epoch loss=1.178725
Batch=539, step=13740, lr=0.143000, batch loss=0.119574, epoch loss=1.298299
Batch=599, step=13800, lr=0.142750, batch loss=0.122335, epoch loss=1.420634
Batch=659, step=13860, lr=0.142500, batch loss=0.179351, epoch loss=1.599985
Batch=719, step=13920, lr=0.142250, batch loss=0.176397, epoch loss=1.776382
Batch=779, step=13980, lr=0.142000, batch loss=0.201181, epoch loss=1.977562
Batch=839, step=14040, lr=0.141750, batch loss=0.188698, epoch loss=2.166261
Batch=899, step=14100, lr=0.141500, batch loss=0.159913, epoch loss=2.326174
Batch=959, step=14160, lr=0.141250, batch loss=0.135326, epoch loss=2.461500
Batch=1019, step=14220, lr=0.141000, batch loss=0.273083, epoch loss=2.734583
Batch=1079, step=14280, lr=0.140750, batch loss=0.085328, epoch loss=2.819910
Batch=1139, step=14340, lr=0.140500, batch loss=0.134987, epoch loss=2.954897
Batch=1199, step=14400, lr=0.140250, batch loss=0.091711, epoch loss=3.046608
Epoch=11, step=14400, lr=0.140250, epoch loss=3.046608
Batch=59, step=14460, lr=0.140000, batch loss=0.114667, epoch loss=0.114667
Batch=119, step=14520, lr=0.139750, batch loss=0.111064, epoch loss=0.225731
Batch=179, step=14580, lr=0.139500, batch loss=0.106766, epoch loss=0.332496
Batch=239, step=14640, lr=0.139250, batch loss=0.142501, epoch loss=0.474997
Batch=299, step=14700, lr=0.139000, batch loss=0.082062, epoch loss=0.557060
Batch=359, step=14760, lr=0.138750, batch loss=0.123701, epoch loss=0.680761
Batch=419, step=14820, lr=0.138500, batch loss=0.133779, epoch loss=0.814540
Batch=479, step=14880, lr=0.138250, batch loss=0.100178, epoch loss=0.914718
Batch=539, step=14940, lr=0.138000, batch loss=0.089913, epoch loss=1.004631
Batch=599, step=15000, lr=0.137750, batch loss=0.087092, epoch loss=1.091723
Batch=659, step=15060, lr=0.137500, batch loss=0.137927, epoch loss=1.229650
Batch=719, step=15120, lr=0.137250, batch loss=0.175715, epoch loss=1.405365
Batch=779, step=15180, lr=0.137000, batch loss=0.330884, epoch loss=1.736249
Batch=839, step=15240, lr=0.136750, batch loss=0.135225, epoch loss=1.871473
Batch=899, step=15300, lr=0.136500, batch loss=0.113874, epoch loss=1.985347
Batch=959, step=15360, lr=0.136250, batch loss=0.101126, epoch loss=2.086474
Batch=1019, step=15420, lr=0.136000, batch loss=0.166944, epoch loss=2.253417
Batch=1079, step=15480, lr=0.135750, batch loss=0.044917, epoch loss=2.298334
Batch=1139, step=15540, lr=0.135500, batch loss=0.101734, epoch loss=2.400068
Batch=1199, step=15600, lr=0.135250, batch loss=0.064010, epoch loss=2.464078
Epoch=12, step=15600, lr=0.135250, epoch loss=2.464078
Batch=59, step=15660, lr=0.135000, batch loss=0.080494, epoch loss=0.080494
Batch=119, step=15720, lr=0.134750, batch loss=0.120145, epoch loss=0.200638
Batch=179, step=15780, lr=0.134500, batch loss=0.093557, epoch loss=0.294195
Batch=239, step=15840, lr=0.134250, batch loss=0.098313, epoch loss=0.392508
Batch=299, step=15900, lr=0.134000, batch loss=0.041294, epoch loss=0.433802
Batch=359, step=15960, lr=0.133750, batch loss=0.085868, epoch loss=0.519670
Batch=419, step=16020, lr=0.133500, batch loss=0.082365, epoch loss=0.602035
Batch=479, step=16080, lr=0.133250, batch loss=0.064846, epoch loss=0.666880
Batch=539, step=16140, lr=0.133000, batch loss=0.057516, epoch loss=0.724396
Batch=599, step=16200, lr=0.132750, batch loss=0.104427, epoch loss=0.828823
Batch=659, step=16260, lr=0.132500, batch loss=0.080496, epoch loss=0.909319
Batch=719, step=16320, lr=0.132250, batch loss=0.072819, epoch loss=0.982138
Batch=779, step=16380, lr=0.132000, batch loss=0.085473, epoch loss=1.067612
Batch=839, step=16440, lr=0.131750, batch loss=0.114211, epoch loss=1.181823
Batch=899, step=16500, lr=0.131500, batch loss=0.152166, epoch loss=1.333988
Batch=959, step=16560, lr=0.131250, batch loss=0.059933, epoch loss=1.393921
Batch=1019, step=16620, lr=0.131000, batch loss=0.144498, epoch loss=1.538419
Batch=1079, step=16680, lr=0.130750, batch loss=0.022138, epoch loss=1.560557
Batch=1139, step=16740, lr=0.130500, batch loss=0.048356, epoch loss=1.608913
Batch=1199, step=16800, lr=0.130250, batch loss=0.027421, epoch loss=1.636334
Epoch=13, step=16800, lr=0.130250, epoch loss=1.636334
Batch=59, step=16860, lr=0.130000, batch loss=0.035027, epoch loss=0.035027
Batch=119, step=16920, lr=0.129750, batch loss=0.049636, epoch loss=0.084663
Batch=179, step=16980, lr=0.129500, batch loss=0.046322, epoch loss=0.130985
Batch=239, step=17040, lr=0.129250, batch loss=0.079075, epoch loss=0.210061
Batch=299, step=17100, lr=0.129000, batch loss=0.081327, epoch loss=0.291387
Batch=359, step=17160, lr=0.128750, batch loss=0.053428, epoch loss=0.344815
Batch=419, step=17220, lr=0.128500, batch loss=0.055955, epoch loss=0.400769
Batch=479, step=17280, lr=0.128250, batch loss=0.030633, epoch loss=0.431402
Batch=539, step=17340, lr=0.128000, batch loss=0.039520, epoch loss=0.470922
Batch=599, step=17400, lr=0.127750, batch loss=0.034647, epoch loss=0.505569
Batch=659, step=17460, lr=0.127500, batch loss=0.047671, epoch loss=0.553240
Batch=719, step=17520, lr=0.127250, batch loss=0.041450, epoch loss=0.594690
Batch=779, step=17580, lr=0.127000, batch loss=0.068199, epoch loss=0.662888
Batch=839, step=17640, lr=0.126750, batch loss=0.071388, epoch loss=0.734276
Batch=899, step=17700, lr=0.126500, batch loss=0.099528, epoch loss=0.833805
Batch=959, step=17760, lr=0.126250, batch loss=0.049490, epoch loss=0.883295
Batch=1019, step=17820, lr=0.126000, batch loss=0.102640, epoch loss=0.985935
Batch=1079, step=17880, lr=0.125750, batch loss=0.014117, epoch loss=1.000052
Batch=1139, step=17940, lr=0.125500, batch loss=0.030746, epoch loss=1.030798
Batch=1199, step=18000, lr=0.125250, batch loss=0.016362, epoch loss=1.047161
Epoch=14, step=18000, lr=0.125250, epoch loss=1.047161
Batch=59, step=18060, lr=0.124750, batch loss=0.014139, epoch loss=0.014139
Batch=119, step=18120, lr=0.124750, batch loss=0.028850, epoch loss=0.042989
Batch=179, step=18180, lr=0.124500, batch loss=0.073491, epoch loss=0.116480
Batch=239, step=18240, lr=0.124250, batch loss=0.039201, epoch loss=0.155681
Batch=299, step=18300, lr=0.124000, batch loss=0.013940, epoch loss=0.169621
Batch=359, step=18360, lr=0.123750, batch loss=0.038798, epoch loss=0.208419
Batch=419, step=18420, lr=0.123500, batch loss=0.030493, epoch loss=0.238912
Batch=479, step=18480, lr=0.123250, batch loss=0.013113, epoch loss=0.252025
Batch=539, step=18540, lr=0.123000, batch loss=0.021210, epoch loss=0.273235
Batch=599, step=18600, lr=0.122750, batch loss=0.026691, epoch loss=0.299926
Batch=659, step=18660, lr=0.122500, batch loss=0.029315, epoch loss=0.329241
Batch=719, step=18720, lr=0.122250, batch loss=0.044850, epoch loss=0.374091
Batch=779, step=18780, lr=0.122000, batch loss=0.100304, epoch loss=0.474395
Batch=839, step=18840, lr=0.121750, batch loss=0.058813, epoch loss=0.533209
Batch=899, step=18900, lr=0.121500, batch loss=0.070565, epoch loss=0.603774
Batch=959, step=18960, lr=0.121250, batch loss=0.014527, epoch loss=0.618300
Batch=1019, step=19020, lr=0.121000, batch loss=0.017788, epoch loss=0.636088
Batch=1079, step=19080, lr=0.120750, batch loss=0.004093, epoch loss=0.640181
Batch=1139, step=19140, lr=0.120500, batch loss=0.024575, epoch loss=0.664756
Batch=1199, step=19200, lr=0.120250, batch loss=0.010178, epoch loss=0.674935
Epoch=15, step=19200, lr=0.120250, epoch loss=0.674935
Batch=59, step=19260, lr=0.120000, batch loss=0.004858, epoch loss=0.004858
Batch=119, step=19320, lr=0.119750, batch loss=0.019561, epoch loss=0.024419
Batch=179, step=19380, lr=0.119500, batch loss=0.045635, epoch loss=0.070054
Batch=239, step=19440, lr=0.119250, batch loss=0.021389, epoch loss=0.091444
Batch=299, step=19500, lr=0.119000, batch loss=0.012320, epoch loss=0.103763
Batch=359, step=19560, lr=0.118750, batch loss=0.022963, epoch loss=0.126727
Batch=419, step=19620, lr=0.118500, batch loss=0.019579, epoch loss=0.146306
Batch=479, step=19680, lr=0.118250, batch loss=0.006423, epoch loss=0.152729
Batch=539, step=19740, lr=0.118000, batch loss=0.018149, epoch loss=0.170877
Batch=599, step=19800, lr=0.117750, batch loss=0.024860, epoch loss=0.195737
Batch=659, step=19860, lr=0.117500, batch loss=0.019407, epoch loss=0.215144
Batch=719, step=19920, lr=0.117250, batch loss=0.050984, epoch loss=0.266128
Batch=779, step=19980, lr=0.117000, batch loss=0.080470, epoch loss=0.346598
Batch=839, step=20040, lr=0.116750, batch loss=0.031877, epoch loss=0.378475
Batch=899, step=20100, lr=0.116500, batch loss=0.029503, epoch loss=0.407978
Batch=959, step=20160, lr=0.116250, batch loss=0.013141, epoch loss=0.421120
Batch=1019, step=20220, lr=0.116000, batch loss=0.014431, epoch loss=0.435550
Batch=1079, step=20280, lr=0.115750, batch loss=0.001378, epoch loss=0.436928
Batch=1139, step=20340, lr=0.115500, batch loss=0.015291, epoch loss=0.452220
Batch=1199, step=20400, lr=0.115250, batch loss=0.006391, epoch loss=0.458610
Epoch=16, step=20400, lr=0.115250, epoch loss=0.458610
Batch=59, step=20460, lr=0.115000, batch loss=0.003040, epoch loss=0.003040
Batch=119, step=20520, lr=0.114750, batch loss=0.009073, epoch loss=0.012113
Batch=179, step=20580, lr=0.114500, batch loss=0.023438, epoch loss=0.035551
Batch=239, step=20640, lr=0.114250, batch loss=0.015552, epoch loss=0.051103
Batch=299, step=20700, lr=0.114000, batch loss=0.004585, epoch loss=0.055688
Batch=359, step=20760, lr=0.113750, batch loss=0.014294, epoch loss=0.069982
Batch=419, step=20820, lr=0.113500, batch loss=0.014952, epoch loss=0.084934
Batch=479, step=20880, lr=0.113250, batch loss=0.004711, epoch loss=0.089646
Batch=539, step=20940, lr=0.113000, batch loss=0.015358, epoch loss=0.105003
Batch=599, step=21000, lr=0.112750, batch loss=0.018882, epoch loss=0.123885
Batch=659, step=21060, lr=0.112500, batch loss=0.015698, epoch loss=0.139583
Batch=719, step=21120, lr=0.112250, batch loss=0.040183, epoch loss=0.179767
Batch=779, step=21180, lr=0.112000, batch loss=0.073999, epoch loss=0.253765
Batch=839, step=21240, lr=0.111750, batch loss=0.026566, epoch loss=0.280331
Batch=899, step=21300, lr=0.111500, batch loss=0.035953, epoch loss=0.316284
Batch=959, step=21360, lr=0.111250, batch loss=0.009582, epoch loss=0.325866
Batch=1019, step=21420, lr=0.111000, batch loss=0.011559, epoch loss=0.337425
Batch=1079, step=21480, lr=0.110750, batch loss=0.000556, epoch loss=0.337982
Batch=1139, step=21540, lr=0.110500, batch loss=0.012006, epoch loss=0.349988
Batch=1199, step=21600, lr=0.110250, batch loss=0.005099, epoch loss=0.355087
Epoch=17, step=21600, lr=0.110250, epoch loss=0.355087
Batch=59, step=21660, lr=0.110000, batch loss=0.001812, epoch loss=0.001812
Batch=119, step=21720, lr=0.109750, batch loss=0.006739, epoch loss=0.008551
Batch=179, step=21780, lr=0.109500, batch loss=0.013540, epoch loss=0.022091
Batch=239, step=21840, lr=0.109000, batch loss=0.015649, epoch loss=0.037740
Batch=299, step=21900, lr=0.109000, batch loss=0.003353, epoch loss=0.041093
Batch=359, step=21960, lr=0.108750, batch loss=0.010529, epoch loss=0.051622
Batch=419, step=22020, lr=0.108500, batch loss=0.011395, epoch loss=0.063017
Batch=479, step=22080, lr=0.108250, batch loss=0.002814, epoch loss=0.065830
Batch=539, step=22140, lr=0.108000, batch loss=0.018001, epoch loss=0.083831
Batch=599, step=22200, lr=0.107750, batch loss=0.016465, epoch loss=0.100296
Batch=659, step=22260, lr=0.107500, batch loss=0.015686, epoch loss=0.115982
Batch=719, step=22320, lr=0.107250, batch loss=0.026615, epoch loss=0.142596
Batch=779, step=22380, lr=0.107000, batch loss=0.036463, epoch loss=0.179060
Batch=839, step=22440, lr=0.106750, batch loss=0.026658, epoch loss=0.205717
Batch=899, step=22500, lr=0.106500, batch loss=0.026451, epoch loss=0.232168
Batch=959, step=22560, lr=0.106250, batch loss=0.008927, epoch loss=0.241095
Batch=1019, step=22620, lr=0.106000, batch loss=0.009057, epoch loss=0.250151
Batch=1079, step=22680, lr=0.105750, batch loss=0.000301, epoch loss=0.250453
Batch=1139, step=22740, lr=0.105500, batch loss=0.010664, epoch loss=0.261116
Batch=1199, step=22800, lr=0.105250, batch loss=0.004553, epoch loss=0.265669
Epoch=18, step=22800, lr=0.105250, epoch loss=0.265669
Batch=59, step=22860, lr=0.105000, batch loss=0.001711, epoch loss=0.001711
Batch=119, step=22920, lr=0.104750, batch loss=0.005300, epoch loss=0.007012
Batch=179, step=22980, lr=0.104500, batch loss=0.010728, epoch loss=0.017740
Batch=239, step=23040, lr=0.104250, batch loss=0.009559, epoch loss=0.027298
Batch=299, step=23100, lr=0.104000, batch loss=0.009434, epoch loss=0.036733
Batch=359, step=23160, lr=0.103750, batch loss=0.012454, epoch loss=0.049187
Batch=419, step=23220, lr=0.103500, batch loss=0.010662, epoch loss=0.059849
Batch=479, step=23280, lr=0.103250, batch loss=0.002380, epoch loss=0.062229
Batch=539, step=23340, lr=0.103000, batch loss=0.016475, epoch loss=0.078704
Batch=599, step=23400, lr=0.102750, batch loss=0.013516, epoch loss=0.092220
Batch=659, step=23460, lr=0.102500, batch loss=0.011466, epoch loss=0.103686
Batch=719, step=23520, lr=0.102250, batch loss=0.011924, epoch loss=0.115610
Batch=779, step=23580, lr=0.102000, batch loss=0.018674, epoch loss=0.134283
Batch=839, step=23640, lr=0.101750, batch loss=0.027666, epoch loss=0.161949
Batch=899, step=23700, lr=0.101500, batch loss=0.021057, epoch loss=0.183006
Batch=959, step=23760, lr=0.101250, batch loss=0.011129, epoch loss=0.194135
Batch=1019, step=23820, lr=0.101000, batch loss=0.009800, epoch loss=0.203935
Batch=1079, step=23880, lr=0.100750, batch loss=0.000723, epoch loss=0.204659
Batch=1139, step=23940, lr=0.100500, batch loss=0.008976, epoch loss=0.213635
Batch=1199, step=24000, lr=0.100250, batch loss=0.004625, epoch loss=0.218259
Epoch=19, step=24000, lr=0.100250, epoch loss=0.218259


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 16:39.00 ---> saved as "06f7440f83458ff052e286ec7694e086fd2495121a40d9cd22c1a87241ecedd3"
Job succeeded
2025-03-20 16:39.01: Job succeeded