fedora-41-5.3_opam-2.3

2025-03-20 22:11.56: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (4ee46a20839684c520fd8d1cc91b4a5416d1e783) (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 4ee46a20
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 22:11.56: 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 22:11.56: 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 22:11.56: Waiting for resource in pool OCluster
2025-03-20 22:11.56: Waiting for worker…
2025-03-20 22:16.15: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
HEAD is now at ccaf459c Missing from previous commit: test update
HEAD is now at 4ee46a20 Update GitHub actions


(from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925)
2025-03-20 22:17.31 ---> 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% | 174.3 KiB/s |  23.4 KiB |  00m00s
Fedora 41 - x86_64                     100% | 203.8 KiB/s |  26.5 KiB |  00m00s
Fedora 41 - x86_64 - Updates           100% |   5.5 MiB/s |   4.5 MiB |  00m01s
Repositories loaded.
Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed.


Nothing to do.
2025-03-20 22:17.31 ---> using "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57" from cache


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-20 22:17.31 ---> 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 22:17.31 ---> 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 22:17.31 ---> using "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:17.31 ---> 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 22:17.31 ---> using "ece3a959e2ef17442b29b6ddfc99e8140b85a2f969c4a3b7d543a174bcd5db3d" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:17.31 ---> using "a7995f649c73d9e2babfcd97b0e8e8ffa838d8e1a37a5b41cef0fa20c5171493" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-20 22:17.31 ---> using "0a48fa20bdf4e6bdf92de50ad1b179566e59a5d19580d481942ca723221ad166" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:17.31 ---> using "e5fa21efb6ec9bcee7c096aa55a7baad8cdd660b0019042e49dcb36e3acc6d45" 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 "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% | 346.6 KiB/s |  28.8 KiB |  00m00s
- --------------------------------------------------------------------------------
- [1/1] Total                             100% | 130.7 KiB/s |  28.8 KiB |  00m00s
- Running transaction
- [1/3] Verify package files              100% |   0.0   B/s |   1.0   B |  00m00s
- [2/3] Prepare transaction               100% |  40.0   B/s |   1.0   B |  00m00s
- [3/3] Installing libffi-devel-0:3.4.6-3 100% | 589.7 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 22:17.31 ---> using "ec2cd6f2dd31abf670c32d6062964da56a43e5a89a2f82d108cb5a2ddba5eba7" 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 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 dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ppx_minidebug.2.1.0  (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 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 ppxlib.0.35.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (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 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 ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed re.1.12.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> 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 variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed stdio.v0.17.0
-> installed printbox-text.0.12
-> installed ctypes-foreign.0.23.0
-> 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_here.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_enumerate.v0.17.0
-> 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 22:17.31 ---> using "7921041fe58f6d2d694d077196babd22dfea63ab7b6a5facc67bb1556370f14b" from cache


/src: (copy (src .) (dst /src))
2025-03-20 22:17.31 ---> saved as "29d8a7da79d4193b94e6baa5713227e87520234472a59f9971b4205e432ebec6"


/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/d91c5a789a8c08b387c17d563c7cb7c5/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/d91c5a789a8c08b387c17d563c7cb7c5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d91c5a789a8c08b387c17d563c7cb7c5/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/d91c5a789a8c08b387c17d563c7cb7c5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d91c5a789a8c08b387c17d563c7cb7c5/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/0c2544f328c3ee6d493ac59029ff37ba/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d91c5a789a8c08b387c17d563c7cb7c5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d91c5a789a8c08b387c17d563c7cb7c5/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/d91c5a789a8c08b387c17d563c7cb7c5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d91c5a789a8c08b387c17d563c7cb7c5/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/d91c5a789a8c08b387c17d563c7cb7c5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d91c5a789a8c08b387c17d563c7cb7c5/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/d91c5a789a8c08b387c17d563c7cb7c5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d91c5a789a8c08b387c17d563c7cb7c5/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/d91c5a789a8c08b387c17d563c7cb7c5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d91c5a789a8c08b387c17d563c7cb7c5/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/d91c5a789a8c08b387c17d563c7cb7c5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d91c5a789a8c08b387c17d563c7cb7c5/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/d91c5a789a8c08b387c17d563c7cb7c5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d91c5a789a8c08b387c17d563c7cb7c5/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/d91c5a789a8c08b387c17d563c7cb7c5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786
Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067
Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387
Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355
Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855
Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963
Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184
Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407
Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164
Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633
Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671
Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133
Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999
Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312
Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223
Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877
Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301
Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593
Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416
Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253
Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689
Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497
Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495
Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390
Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314
Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229
Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518
Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460
Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885
Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660
Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955
Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988
Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087
Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829
Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103
Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103
Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725
Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742
Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559
Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762
Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755
Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388
Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988
Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580
Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712
Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101
Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915
Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348
Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075
Batch=839, step=9240, lr=0.161750, batch loss=0.287243, epoch loss=3.376318
Batch=899, step=9300, lr=0.161500, batch loss=0.251060, epoch loss=3.627378
Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817911
Batch=1019, step=9420, lr=0.160750, batch loss=0.311728, epoch loss=4.129639
Batch=1079, step=9480, lr=0.160750, batch loss=0.191232, epoch loss=4.320871
Batch=1139, step=9540, lr=0.160500, batch loss=0.215981, epoch loss=4.536852
Batch=1199, step=9600, lr=0.160250, batch loss=0.165633, epoch loss=4.702485
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702485
Batch=59, step=9660, lr=0.160000, batch loss=0.197030, epoch loss=0.197030
Batch=119, step=9720, lr=0.159750, batch loss=0.165605, epoch loss=0.362635
Batch=179, step=9780, lr=0.159500, batch loss=0.179303, epoch loss=0.541938
Batch=239, step=9840, lr=0.159250, batch loss=0.263739, epoch loss=0.805677
Batch=299, step=9900, lr=0.159000, batch loss=0.182419, epoch loss=0.988096
Batch=359, step=9960, lr=0.158750, batch loss=0.240642, epoch loss=1.228738
Batch=419, step=10020, lr=0.158500, batch loss=0.233020, epoch loss=1.461758
Batch=479, step=10080, lr=0.158250, batch loss=0.212917, epoch loss=1.674675
Batch=539, step=10140, lr=0.158000, batch loss=0.170852, epoch loss=1.845527
Batch=599, step=10200, lr=0.157750, batch loss=0.200073, epoch loss=2.045601
Batch=659, step=10260, lr=0.157500, batch loss=0.283161, epoch loss=2.328762
Batch=719, step=10320, lr=0.157250, batch loss=0.288596, epoch loss=2.617358
Batch=779, step=10380, lr=0.157000, batch loss=0.297022, epoch loss=2.914380
Batch=839, step=10440, lr=0.156750, batch loss=0.267545, epoch loss=3.181925
Batch=899, step=10500, lr=0.156500, batch loss=0.242877, epoch loss=3.424802
Batch=959, step=10560, lr=0.156250, batch loss=0.198403, epoch loss=3.623205
Batch=1019, step=10620, lr=0.156000, batch loss=0.295475, epoch loss=3.918680
Batch=1079, step=10680, lr=0.155750, batch loss=0.178323, epoch loss=4.097004
Batch=1139, step=10740, lr=0.155500, batch loss=0.205654, epoch loss=4.302658
Batch=1199, step=10800, lr=0.155250, batch loss=0.156096, epoch loss=4.458754
Epoch=8, step=10800, lr=0.155250, epoch loss=4.458754
Batch=59, step=10860, lr=0.155000, batch loss=0.177278, epoch loss=0.177278
Batch=119, step=10920, lr=0.154750, batch loss=0.152501, epoch loss=0.329779
Batch=179, step=10980, lr=0.154500, batch loss=0.167106, epoch loss=0.496885
Batch=239, step=11040, lr=0.154250, batch loss=0.242539, epoch loss=0.739424
Batch=299, step=11100, lr=0.154000, batch loss=0.170194, epoch loss=0.909618
Batch=359, step=11160, lr=0.153750, batch loss=0.221922, epoch loss=1.131540
Batch=419, step=11220, lr=0.153500, batch loss=0.229444, epoch loss=1.360984
Batch=479, step=11280, lr=0.153250, batch loss=0.202699, epoch loss=1.563683
Batch=539, step=11340, lr=0.153000, batch loss=0.159259, epoch loss=1.722942
Batch=599, step=11400, lr=0.152750, batch loss=0.178335, epoch loss=1.901277
Batch=659, step=11460, lr=0.152500, batch loss=0.264862, epoch loss=2.166139
Batch=719, step=11520, lr=0.152250, batch loss=0.256792, epoch loss=2.422931
Batch=779, step=11580, lr=0.152000, batch loss=0.273481, epoch loss=2.696411
Batch=839, step=11640, lr=0.151750, batch loss=0.255654, epoch loss=2.952065
Batch=899, step=11700, lr=0.151500, batch loss=0.213064, epoch loss=3.165129
Batch=959, step=11760, lr=0.151250, batch loss=0.167933, epoch loss=3.333062
Batch=1019, step=11820, lr=0.151000, batch loss=0.266370, epoch loss=3.599432
Batch=1079, step=11880, lr=0.150750, batch loss=0.149441, epoch loss=3.748874
Batch=1139, step=11940, lr=0.150500, batch loss=0.185749, epoch loss=3.934623
Batch=1199, step=12000, lr=0.150250, batch loss=0.139443, epoch loss=4.074066
Epoch=9, step=12000, lr=0.150250, epoch loss=4.074066
Batch=59, step=12060, lr=0.150000, batch loss=0.157915, epoch loss=0.157915
Batch=119, step=12120, lr=0.149750, batch loss=0.128915, epoch loss=0.286829
Batch=179, step=12180, lr=0.149500, batch loss=0.150447, epoch loss=0.437276
Batch=239, step=12240, lr=0.149250, batch loss=0.223162, epoch loss=0.660438
Batch=299, step=12300, lr=0.149000, batch loss=0.142786, epoch loss=0.803224
Batch=359, step=12360, lr=0.148750, batch loss=0.195244, epoch loss=0.998468
Batch=419, step=12420, lr=0.148500, batch loss=0.206394, epoch loss=1.204862
Batch=479, step=12480, lr=0.148250, batch loss=0.178585, epoch loss=1.383447
Batch=539, step=12540, lr=0.148000, batch loss=0.142702, epoch loss=1.526149
Batch=599, step=12600, lr=0.147750, batch loss=0.150348, epoch loss=1.676497
Batch=659, step=12660, lr=0.147500, batch loss=0.224994, epoch loss=1.901491
Batch=719, step=12720, lr=0.147250, batch loss=0.235126, epoch loss=2.136617
Batch=779, step=12780, lr=0.147000, batch loss=0.252854, epoch loss=2.389472
Batch=839, step=12840, lr=0.146750, batch loss=0.224855, epoch loss=2.614326
Batch=899, step=12900, lr=0.146500, batch loss=0.185411, epoch loss=2.799737
Batch=959, step=12960, lr=0.146250, batch loss=0.148702, epoch loss=2.948439
Batch=1019, step=13020, lr=0.146000, batch loss=0.268304, epoch loss=3.216743
Batch=1079, step=13080, lr=0.145750, batch loss=0.115122, epoch loss=3.331865
Batch=1139, step=13140, lr=0.145500, batch loss=0.155522, epoch loss=3.487387
Batch=1199, step=13200, lr=0.145250, batch loss=0.118536, epoch loss=3.605923
Epoch=10, step=13200, lr=0.145250, epoch loss=3.605923
Batch=59, step=13260, lr=0.145000, batch loss=0.143212, epoch loss=0.143212
Batch=119, step=13320, lr=0.144750, batch loss=0.119810, epoch loss=0.263022
Batch=179, step=13380, lr=0.144500, batch loss=0.127207, epoch loss=0.390229
Batch=239, step=13440, lr=0.144250, batch loss=0.186705, epoch loss=0.576935
Batch=299, step=13500, lr=0.144000, batch loss=0.112867, epoch loss=0.689802
Batch=359, step=13560, lr=0.143750, batch loss=0.161471, epoch loss=0.851272
Batch=419, step=13620, lr=0.143500, batch loss=0.160695, epoch loss=1.011968
Batch=479, step=13680, lr=0.143250, batch loss=0.147180, epoch loss=1.159147
Batch=539, step=13740, lr=0.143000, batch loss=0.118150, epoch loss=1.277297
Batch=599, step=13800, lr=0.142750, batch loss=0.119966, epoch loss=1.397264
Batch=659, step=13860, lr=0.142500, batch loss=0.174563, epoch loss=1.571827
Batch=719, step=13920, lr=0.142250, batch loss=0.177109, epoch loss=1.748936
Batch=779, step=13980, lr=0.142000, batch loss=0.196851, epoch loss=1.945786
Batch=839, step=14040, lr=0.141750, batch loss=0.192670, epoch loss=2.138457
Batch=899, step=14100, lr=0.141500, batch loss=0.208089, epoch loss=2.346546
Batch=959, step=14160, lr=0.141250, batch loss=0.106179, epoch loss=2.452725
Batch=1019, step=14220, lr=0.141000, batch loss=0.190792, epoch loss=2.643517
Batch=1079, step=14280, lr=0.140750, batch loss=0.082264, epoch loss=2.725781
Batch=1139, step=14340, lr=0.140500, batch loss=0.134486, epoch loss=2.860267
Batch=1199, step=14400, lr=0.140250, batch loss=0.087209, epoch loss=2.947476
Epoch=11, step=14400, lr=0.140250, epoch loss=2.947476
Batch=59, step=14460, lr=0.140000, batch loss=0.102474, epoch loss=0.102474
Batch=119, step=14520, lr=0.139750, batch loss=0.099998, epoch loss=0.202472
Batch=179, step=14580, lr=0.139500, batch loss=0.098671, epoch loss=0.301142
Batch=239, step=14640, lr=0.139250, batch loss=0.143259, epoch loss=0.444401
Batch=299, step=14700, lr=0.139000, batch loss=0.086918, epoch loss=0.531319
Batch=359, step=14760, lr=0.138750, batch loss=0.147807, epoch loss=0.679126
Batch=419, step=14820, lr=0.138500, batch loss=0.208259, epoch loss=0.887385
Batch=479, step=14880, lr=0.138250, batch loss=0.090911, epoch loss=0.978297
Batch=539, step=14940, lr=0.138000, batch loss=0.071856, epoch loss=1.050153
Batch=599, step=15000, lr=0.137750, batch loss=0.099113, epoch loss=1.149266
Batch=659, step=15060, lr=0.137500, batch loss=0.129929, epoch loss=1.279195
Batch=719, step=15120, lr=0.137250, batch loss=0.121015, epoch loss=1.400209
Batch=779, step=15180, lr=0.137000, batch loss=0.136151, epoch loss=1.536361
Batch=839, step=15240, lr=0.136750, batch loss=0.157354, epoch loss=1.693714
Batch=899, step=15300, lr=0.136500, batch loss=0.222986, epoch loss=1.916700
Batch=959, step=15360, lr=0.136250, batch loss=0.056830, epoch loss=1.973530
Batch=1019, step=15420, lr=0.136000, batch loss=0.135999, epoch loss=2.109529
Batch=1079, step=15480, lr=0.135750, batch loss=0.050623, epoch loss=2.160152
Batch=1139, step=15540, lr=0.135500, batch loss=0.109211, epoch loss=2.269363
Batch=1199, step=15600, lr=0.135250, batch loss=0.059900, epoch loss=2.329263
Epoch=12, step=15600, lr=0.135250, epoch loss=2.329263
Batch=59, step=15660, lr=0.135000, batch loss=0.083783, epoch loss=0.083783
Batch=119, step=15720, lr=0.134750, batch loss=0.128691, epoch loss=0.212474
Batch=179, step=15780, lr=0.134500, batch loss=0.094171, epoch loss=0.306644
Batch=239, step=15840, lr=0.134250, batch loss=0.094668, epoch loss=0.401312
Batch=299, step=15900, lr=0.134000, batch loss=0.039506, epoch loss=0.440818
Batch=359, step=15960, lr=0.133750, batch loss=0.082840, epoch loss=0.523659
Batch=419, step=16020, lr=0.133500, batch loss=0.078560, epoch loss=0.602219
Batch=479, step=16080, lr=0.133250, batch loss=0.061053, epoch loss=0.663272
Batch=539, step=16140, lr=0.133000, batch loss=0.058015, epoch loss=0.721287
Batch=599, step=16200, lr=0.132750, batch loss=0.121345, epoch loss=0.842631
Batch=659, step=16260, lr=0.132500, batch loss=0.083370, epoch loss=0.926001
Batch=719, step=16320, lr=0.132250, batch loss=0.120415, epoch loss=1.046416
Batch=779, step=16380, lr=0.132000, batch loss=0.261073, epoch loss=1.307489
Batch=839, step=16440, lr=0.131750, batch loss=0.088201, epoch loss=1.395690
Batch=899, step=16500, lr=0.131500, batch loss=0.077032, epoch loss=1.472722
Batch=959, step=16560, lr=0.131250, batch loss=0.047956, epoch loss=1.520678
Batch=1019, step=16620, lr=0.131000, batch loss=0.132475, epoch loss=1.653153
Batch=1079, step=16680, lr=0.130750, batch loss=0.021379, epoch loss=1.674532
Batch=1139, step=16740, lr=0.130500, batch loss=0.046375, epoch loss=1.720907
Batch=1199, step=16800, lr=0.130250, batch loss=0.026630, epoch loss=1.747537
Epoch=13, step=16800, lr=0.130250, epoch loss=1.747537
Batch=59, step=16860, lr=0.130000, batch loss=0.038130, epoch loss=0.038130
Batch=119, step=16920, lr=0.129750, batch loss=0.053496, epoch loss=0.091626
Batch=179, step=16980, lr=0.129500, batch loss=0.051404, epoch loss=0.143030
Batch=239, step=17040, lr=0.129250, batch loss=0.068157, epoch loss=0.211187
Batch=299, step=17100, lr=0.129000, batch loss=0.035206, epoch loss=0.246393
Batch=359, step=17160, lr=0.128750, batch loss=0.049726, epoch loss=0.296119
Batch=419, step=17220, lr=0.128500, batch loss=0.076213, epoch loss=0.372332
Batch=479, step=17280, lr=0.128250, batch loss=0.022804, epoch loss=0.395135
Batch=539, step=17340, lr=0.128000, batch loss=0.029683, epoch loss=0.424818
Batch=599, step=17400, lr=0.127750, batch loss=0.043787, epoch loss=0.468605
Batch=659, step=17460, lr=0.127500, batch loss=0.051618, epoch loss=0.520223
Batch=719, step=17520, lr=0.127250, batch loss=0.063947, epoch loss=0.584170
Batch=779, step=17580, lr=0.127000, batch loss=0.065203, epoch loss=0.649373
Batch=839, step=17640, lr=0.126750, batch loss=0.100844, epoch loss=0.750217
Batch=899, step=17700, lr=0.126500, batch loss=0.048934, epoch loss=0.799151
Batch=959, step=17760, lr=0.126250, batch loss=0.018974, epoch loss=0.818125
Batch=1019, step=17820, lr=0.126000, batch loss=0.053158, epoch loss=0.871283
Batch=1079, step=17880, lr=0.125750, batch loss=0.044521, epoch loss=0.915804
Batch=1139, step=17940, lr=0.125500, batch loss=0.079499, epoch loss=0.995303
Batch=1199, step=18000, lr=0.125250, batch loss=0.024351, epoch loss=1.019654
Epoch=14, step=18000, lr=0.125250, epoch loss=1.019654
Batch=59, step=18060, lr=0.125000, batch loss=0.016628, epoch loss=0.016628
Batch=119, step=18120, lr=0.124750, batch loss=0.019352, epoch loss=0.035980
Batch=179, step=18180, lr=0.124500, batch loss=0.030189, epoch loss=0.066169
Batch=239, step=18240, lr=0.124250, batch loss=0.037336, epoch loss=0.103505
Batch=299, step=18300, lr=0.124000, batch loss=0.010295, epoch loss=0.113800
Batch=359, step=18360, lr=0.123750, batch loss=0.024636, epoch loss=0.138436
Batch=419, step=18420, lr=0.123500, batch loss=0.032173, epoch loss=0.170609
Batch=479, step=18480, lr=0.123250, batch loss=0.027667, epoch loss=0.198276
Batch=539, step=18540, lr=0.123000, batch loss=0.055011, epoch loss=0.253287
Batch=599, step=18600, lr=0.122750, batch loss=0.027202, epoch loss=0.280489
Batch=659, step=18660, lr=0.122500, batch loss=0.032802, epoch loss=0.313291
Batch=719, step=18720, lr=0.122250, batch loss=0.031223, epoch loss=0.344514
Batch=779, step=18780, lr=0.122000, batch loss=0.084688, epoch loss=0.429202
Batch=839, step=18840, lr=0.121750, batch loss=0.055538, epoch loss=0.484740
Batch=899, step=18900, lr=0.121500, batch loss=0.056196, epoch loss=0.540935
Batch=959, step=18960, lr=0.121250, batch loss=0.014719, epoch loss=0.555655
Batch=1019, step=19020, lr=0.121000, batch loss=0.022273, epoch loss=0.577927
Batch=1079, step=19080, lr=0.120750, batch loss=0.009895, epoch loss=0.587822
Batch=1139, step=19140, lr=0.120500, batch loss=0.023045, epoch loss=0.610867
Batch=1199, step=19200, lr=0.120250, batch loss=0.008870, epoch loss=0.619736
Epoch=15, step=19200, lr=0.120250, epoch loss=0.619736
Batch=59, step=19260, lr=0.120000, batch loss=0.004592, epoch loss=0.004592
Batch=119, step=19320, lr=0.119750, batch loss=0.021111, epoch loss=0.025703
Batch=179, step=19380, lr=0.119500, batch loss=0.068718, epoch loss=0.094421
Batch=239, step=19440, lr=0.119250, batch loss=0.027708, epoch loss=0.122129
Batch=299, step=19500, lr=0.119000, batch loss=0.012372, epoch loss=0.134501
Batch=359, step=19560, lr=0.118750, batch loss=0.023833, epoch loss=0.158334
Batch=419, step=19620, lr=0.118500, batch loss=0.020726, epoch loss=0.179060
Batch=479, step=19680, lr=0.118250, batch loss=0.007222, epoch loss=0.186281
Batch=539, step=19740, lr=0.118000, batch loss=0.018206, epoch loss=0.204488
Batch=599, step=19800, lr=0.117750, batch loss=0.024984, epoch loss=0.229471
Batch=659, step=19860, lr=0.117500, batch loss=0.020541, epoch loss=0.250012
Batch=719, step=19920, lr=0.117250, batch loss=0.046844, epoch loss=0.296856
Batch=779, step=19980, lr=0.117000, batch loss=0.076793, epoch loss=0.373649
Batch=839, step=20040, lr=0.116750, batch loss=0.031042, epoch loss=0.404692
Batch=899, step=20100, lr=0.116500, batch loss=0.032645, epoch loss=0.437336
Batch=959, step=20160, lr=0.116250, batch loss=0.011439, epoch loss=0.448775
Batch=1019, step=20220, lr=0.116000, batch loss=0.014667, epoch loss=0.463443
Batch=1079, step=20280, lr=0.115750, batch loss=0.002550, epoch loss=0.465992
Batch=1139, step=20340, lr=0.115500, batch loss=0.015044, epoch loss=0.481037
Batch=1199, step=20400, lr=0.115250, batch loss=0.007127, epoch loss=0.488164
Epoch=16, step=20400, lr=0.115250, epoch loss=0.488164
Batch=59, step=20460, lr=0.115000, batch loss=0.003194, epoch loss=0.003194
Batch=119, step=20520, lr=0.114750, batch loss=0.009008, epoch loss=0.012202
Batch=179, step=20580, lr=0.114500, batch loss=0.020264, epoch loss=0.032467
Batch=239, step=20640, lr=0.114250, batch loss=0.020579, epoch loss=0.053046
Batch=299, step=20700, lr=0.114000, batch loss=0.009800, epoch loss=0.062846
Batch=359, step=20760, lr=0.113750, batch loss=0.014907, epoch loss=0.077753
Batch=419, step=20820, lr=0.113500, batch loss=0.015661, epoch loss=0.093414
Batch=479, step=20880, lr=0.113250, batch loss=0.003295, epoch loss=0.096710
Batch=539, step=20940, lr=0.113000, batch loss=0.016655, epoch loss=0.113364
Batch=599, step=21000, lr=0.112750, batch loss=0.017199, epoch loss=0.130564
Batch=659, step=21060, lr=0.112500, batch loss=0.013332, epoch loss=0.143896
Batch=719, step=21120, lr=0.112250, batch loss=0.030254, epoch loss=0.174150
Batch=779, step=21180, lr=0.112000, batch loss=0.044030, epoch loss=0.218180
Batch=839, step=21240, lr=0.111750, batch loss=0.029825, epoch loss=0.248006
Batch=899, step=21300, lr=0.111500, batch loss=0.033579, epoch loss=0.281585
Batch=959, step=21360, lr=0.111250, batch loss=0.010632, epoch loss=0.292216
Batch=1019, step=21420, lr=0.111000, batch loss=0.012404, epoch loss=0.304621
Batch=1079, step=21480, lr=0.110750, batch loss=0.002871, epoch loss=0.307492
Batch=1139, step=21540, lr=0.110500, batch loss=0.012339, epoch loss=0.319832
Batch=1199, step=21600, lr=0.110250, batch loss=0.004639, epoch loss=0.324471
Epoch=17, step=21600, lr=0.110250, epoch loss=0.324471
Batch=59, step=21660, lr=0.110000, batch loss=0.001988, epoch loss=0.001988
Batch=119, step=21720, lr=0.109750, batch loss=0.007446, epoch loss=0.009434
Batch=179, step=21780, lr=0.109500, batch loss=0.012348, epoch loss=0.021783
Batch=239, step=21840, lr=0.109250, batch loss=0.009478, epoch loss=0.031261
Batch=299, step=21900, lr=0.109000, batch loss=0.008467, epoch loss=0.039728
Batch=359, step=21960, lr=0.108750, batch loss=0.014999, epoch loss=0.054727
Batch=419, step=22020, lr=0.108500, batch loss=0.013475, epoch loss=0.068202
Batch=479, step=22080, lr=0.108250, batch loss=0.003154, epoch loss=0.071356
Batch=539, step=22140, lr=0.108000, batch loss=0.016968, epoch loss=0.088323
Batch=599, step=22200, lr=0.107750, batch loss=0.015624, epoch loss=0.103948
Batch=659, step=22260, lr=0.107500, batch loss=0.011467, epoch loss=0.115415
Batch=719, step=22320, lr=0.107250, batch loss=0.015549, epoch loss=0.130964
Batch=779, step=22380, lr=0.107000, batch loss=0.023437, epoch loss=0.154401
Batch=839, step=22440, lr=0.106750, batch loss=0.026839, epoch loss=0.181240
Batch=899, step=22500, lr=0.106500, batch loss=0.025653, epoch loss=0.206894
Batch=959, step=22560, lr=0.106250, batch loss=0.009001, epoch loss=0.215895
Batch=1019, step=22620, lr=0.106000, batch loss=0.008619, epoch loss=0.224514
Batch=1079, step=22680, lr=0.105750, batch loss=0.001082, epoch loss=0.225595
Batch=1139, step=22740, lr=0.105500, batch loss=0.010368, epoch loss=0.235964
Batch=1199, step=22800, lr=0.105250, batch loss=0.005217, epoch loss=0.241181
Epoch=18, step=22800, lr=0.105250, epoch loss=0.241181
Batch=59, step=22860, lr=0.105000, batch loss=0.002143, epoch loss=0.002143
Batch=119, step=22920, lr=0.104750, batch loss=0.005663, epoch loss=0.007806
Batch=179, step=22980, lr=0.104500, batch loss=0.010818, epoch loss=0.018624
Batch=239, step=23040, lr=0.104250, batch loss=0.008812, epoch loss=0.027437
Batch=299, step=23100, lr=0.104000, batch loss=0.007087, epoch loss=0.034524
Batch=359, step=23160, lr=0.103750, batch loss=0.011770, epoch loss=0.046295
Batch=419, step=23220, lr=0.103500, batch loss=0.010825, epoch loss=0.057119
Batch=479, step=23280, lr=0.103250, batch loss=0.003010, epoch loss=0.060130
Batch=539, step=23340, lr=0.103000, batch loss=0.017316, epoch loss=0.077446
Batch=599, step=23400, lr=0.102750, batch loss=0.013937, epoch loss=0.091383
Batch=659, step=23460, lr=0.102500, batch loss=0.010415, epoch loss=0.101799
Batch=719, step=23520, lr=0.102250, batch loss=0.015525, epoch loss=0.117324
Batch=779, step=23580, lr=0.102000, batch loss=0.021185, epoch loss=0.138509
Batch=839, step=23640, lr=0.101750, batch loss=0.024584, epoch loss=0.163093
Batch=899, step=23700, lr=0.101500, batch loss=0.023871, epoch loss=0.186964
Batch=959, step=23760, lr=0.101250, batch loss=0.008822, epoch loss=0.195786
Batch=1019, step=23820, lr=0.101000, batch loss=0.008038, epoch loss=0.203825
Batch=1079, step=23880, lr=0.100750, batch loss=0.001136, epoch loss=0.204961
Batch=1139, step=23940, lr=0.100500, batch loss=0.009049, epoch loss=0.214009
Batch=1199, step=24000, lr=0.100250, batch loss=0.005245, epoch loss=0.219254
Epoch=19, step=24000, lr=0.100250, epoch loss=0.219254


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
│********************************#*******************************************************************│
│**********************#*#*#######*###*#####*********************************************************│
│**********************#########################*****************************************************│
│*****************#**########*######*###########*###*************************************************│
│***************#################*###################************************************************│
│************######*#################*#################**********************************************│
│**********#*#####*########*#**************##*#########*#********************************************│
│***********########*##*#******************#*****##########****************************************..│
│***********###########*************************############*************************************....│
│********######*####*********************************###*###*#********************************.......│
│*******######**##*************....*****************#*######*#******************************.........│
│*******##*##**##**********...........***************########*##**************************...........│
│*****#######************.......%...%%...***************#########************************..........%.│
│******######**********..........%........***************##*#####**********************........%.%.%.│
│***#########**********.........%%%.%%......*************#*#######********************........%.%%%%.│
│****#######**********..........%%%%.........************#########*******************.........%%.%%.%│
│**#######************..........%%%%%%%........*************###*###*****************..........%%%%%%.│
│*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│
│*#######************...........%%%%%%%..........************#######*************.............%%%%%%.│
│*##*####***********............%%.%%%%%...........***********####**************.............%%%%%%%.│
│*#####*#***********.............%%%%%%%............**********##*###***********...............%%%%%..│
│#######***********.............%.%%%%%%.............*********#######*********..............%%%%.%%..│
│#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│
│###*#*#**********...............%%%%%%%%%..............*******######******.................%%%%%%...│
│#######*********.................%%%%%%%%................****###*###*****.................%%%%%%....│
│######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│
│*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│
│#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│
│**************.....................%.%%%%%%...................******...................%.%%.%%......│
│**************.......................%..%%%%%%%................****...............%.%%%%%%%%%.......│
│*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│
│*************...........................%..%%%%..%................................%%%%%%%%..........│
│************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│
│***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│
│***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│
│**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│
│**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│
│*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│
│*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│
│********................................................%...%%%%.%%.%%%%..%.........................│
└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:18.03 ---> saved as "8a6fbd540fe58360da0e17731e35179f14166e5fbd52959da0d5b16a4ffadccd"
Job succeeded
2025-03-20 22:18.04: Job succeeded