fedora-41-5.3_opam-2.3

2025-03-20 21:04.47: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0) (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 ccaf459c
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 21:04.47: 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 21:04.47: 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 21:04.47: Waiting for resource in pool OCluster
2025-03-20 21:04.47: Waiting for worker…
2025-03-20 21:14.15: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
HEAD is now at 367be265 Load log_level earlier to consistently log all settings
HEAD is now at ccaf459c Missing from previous commit: test update


(from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925)
2025-03-20 21:16.53 ---> saved as "189447b5abf4f84b3141564fa16299d77370e888a929cebc6495802de6bce562"


/: (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 21:17.00 ---> saved as "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57"


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-20 21:17.00 ---> saved as "92a7f2480fc833b8b6e6f7c055e96edecd7a23b7a1425abe59b46f58f5769a58"


/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 21:18.20 ---> saved as "22323ebe734803b688970a8a4b44abf93aa58863ccedfb0ae4ead813beb5698c"


/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 21:18.20 ---> saved as "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 21:18.20 ---> saved as "b766911cfcef799c6c2bb8aec82e30e2bd662c95ed64a05054ff7a173457d537"


/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 21:19.18 ---> saved as "ece3a959e2ef17442b29b6ddfc99e8140b85a2f969c4a3b7d543a174bcd5db3d"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 21:19.18 ---> 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 21:19.21 ---> saved as "0a48fa20bdf4e6bdf92de50ad1b179566e59a5d19580d481942ca723221ad166"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 21:19.21 ---> 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% | 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 21:19.41 ---> 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 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 21:23.14 ---> saved as "7921041fe58f6d2d694d077196babd22dfea63ab7b6a5facc67bb1556370f14b"


/src: (copy (src .) (dst /src))
2025-03-20 21:23.16 ---> saved as "a42db06464056c8d085fdd3c65874fbb40ca491672ec12e2dc77958a419cd48f"


/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 '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 '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 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=0.195750, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248523, epoch loss=44.750571
Batch=1139, step=1140, lr=0.195250, batch loss=0.317671, epoch loss=45.068243
Batch=1199, step=1200, lr=0.195250, batch loss=0.263585, epoch loss=45.331828
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331828
Batch=59, step=1260, lr=0.195000, batch loss=0.262058, epoch loss=0.262058
Batch=119, step=1320, lr=0.194750, batch loss=0.205376, epoch loss=0.467435
Batch=179, step=1380, lr=0.194500, batch loss=0.243658, epoch loss=0.711092
Batch=239, step=1440, lr=0.194250, batch loss=0.347786, epoch loss=1.058878
Batch=299, step=1500, lr=0.194000, batch loss=0.247564, epoch loss=1.306442
Batch=359, step=1560, lr=0.193750, batch loss=0.316406, epoch loss=1.622848
Batch=419, step=1620, lr=0.193500, batch loss=0.308832, epoch loss=1.931680
Batch=479, step=1680, lr=0.193250, batch loss=0.275066, epoch loss=2.206746
Batch=539, step=1740, lr=0.193000, batch loss=0.210851, epoch loss=2.417597
Batch=599, step=1800, lr=0.192750, batch loss=0.261902, epoch loss=2.679499
Batch=659, step=1860, lr=0.192500, batch loss=0.375671, epoch loss=3.055170
Batch=719, step=1920, lr=0.192250, batch loss=0.357987, epoch loss=3.413156
Batch=779, step=1980, lr=0.192000, batch loss=0.386950, epoch loss=3.800107
Batch=839, step=2040, lr=0.191750, batch loss=0.346431, epoch loss=4.146538
Batch=899, step=2100, lr=0.191500, batch loss=0.319047, epoch loss=4.465584
Batch=959, step=2160, lr=0.191000, batch loss=0.246412, epoch loss=4.711997
Batch=1019, step=2220, lr=0.191000, batch loss=0.377297, epoch loss=5.089293
Batch=1079, step=2280, lr=0.190750, batch loss=0.216869, epoch loss=5.306163
Batch=1139, step=2340, lr=0.190500, batch loss=0.265708, epoch loss=5.571871
Batch=1199, step=2400, lr=0.190250, batch loss=0.212226, epoch loss=5.784097
Epoch=1, step=2400, lr=0.190250, epoch loss=5.784097
Batch=59, step=2460, lr=0.190000, batch loss=0.233942, epoch loss=0.233942
Batch=119, step=2520, lr=0.189750, batch loss=0.195925, epoch loss=0.429866
Batch=179, step=2580, lr=0.189500, batch loss=0.221271, epoch loss=0.651137
Batch=239, step=2640, lr=0.189250, batch loss=0.329016, epoch loss=0.980153
Batch=299, step=2700, lr=0.189000, batch loss=0.206828, epoch loss=1.186981
Batch=359, step=2760, lr=0.188750, batch loss=0.292886, epoch loss=1.479866
Batch=419, step=2820, lr=0.188500, batch loss=0.281143, epoch loss=1.761010
Batch=479, step=2880, lr=0.188250, batch loss=0.255383, epoch loss=2.016392
Batch=539, step=2940, lr=0.188000, batch loss=0.195933, epoch loss=2.212325
Batch=599, step=3000, lr=0.187750, batch loss=0.234684, epoch loss=2.447009
Batch=659, step=3060, lr=0.187500, batch loss=0.340160, epoch loss=2.787169
Batch=719, step=3120, lr=0.187250, batch loss=0.335206, epoch loss=3.122376
Batch=779, step=3180, lr=0.187000, batch loss=0.360069, epoch loss=3.482445
Batch=839, step=3240, lr=0.186750, batch loss=0.326870, epoch loss=3.809315
Batch=899, step=3300, lr=0.186500, batch loss=0.293718, epoch loss=4.103033
Batch=959, step=3360, lr=0.186250, batch loss=0.226743, epoch loss=4.329776
Batch=1019, step=3420, lr=0.186000, batch loss=0.336947, epoch loss=4.666723
Batch=1079, step=3480, lr=0.185750, batch loss=0.190037, epoch loss=4.856761
Batch=1139, step=3540, lr=0.185500, batch loss=0.231876, epoch loss=5.088636
Batch=1199, step=3600, lr=0.185250, batch loss=0.198904, epoch loss=5.287540
Epoch=2, step=3600, lr=0.185250, epoch loss=5.287540
Batch=59, step=3660, lr=0.185000, batch loss=0.232538, epoch loss=0.232538
Batch=119, step=3720, lr=0.184750, batch loss=0.195730, epoch loss=0.428268
Batch=179, step=3780, lr=0.184500, batch loss=0.212802, epoch loss=0.641070
Batch=239, step=3840, lr=0.184250, batch loss=0.318254, epoch loss=0.959324
Batch=299, step=3900, lr=0.184000, batch loss=0.208867, epoch loss=1.168191
Batch=359, step=3960, lr=0.183750, batch loss=0.284958, epoch loss=1.453150
Batch=419, step=4020, lr=0.183500, batch loss=0.272128, epoch loss=1.725278
Batch=479, step=4080, lr=0.183250, batch loss=0.249106, epoch loss=1.974384
Batch=539, step=4140, lr=0.183000, batch loss=0.194729, epoch loss=2.169113
Batch=599, step=4200, lr=0.182750, batch loss=0.232681, epoch loss=2.401794
Batch=659, step=4260, lr=0.182500, batch loss=0.334922, epoch loss=2.736716
Batch=719, step=4320, lr=0.182250, batch loss=0.342500, epoch loss=3.079215
Batch=779, step=4380, lr=0.182000, batch loss=0.350542, epoch loss=3.429758
Batch=839, step=4440, lr=0.181750, batch loss=0.316256, epoch loss=3.746014
Batch=899, step=4500, lr=0.181500, batch loss=0.286454, epoch loss=4.032468
Batch=959, step=4560, lr=0.181250, batch loss=0.238091, epoch loss=4.270560
Batch=1019, step=4620, lr=0.181000, batch loss=0.333241, epoch loss=4.603801
Batch=1079, step=4680, lr=0.180750, batch loss=0.195135, epoch loss=4.798936
Batch=1139, step=4740, lr=0.180500, batch loss=0.229125, epoch loss=5.028061
Batch=1199, step=4800, lr=0.180250, batch loss=0.194347, epoch loss=5.222408
Epoch=3, step=4800, lr=0.180250, epoch loss=5.222408
Batch=59, step=4860, lr=0.180000, batch loss=0.241929, epoch loss=0.241929
Batch=119, step=4920, lr=0.179750, batch loss=0.198695, epoch loss=0.440625
Batch=179, step=4980, lr=0.179500, batch loss=0.206146, epoch loss=0.646770
Batch=239, step=5040, lr=0.179250, batch loss=0.309477, epoch loss=0.956247
Batch=299, step=5100, lr=0.179000, batch loss=0.205409, epoch loss=1.161656
Batch=359, step=5160, lr=0.178750, batch loss=0.276741, epoch loss=1.438398
Batch=419, step=5220, lr=0.178500, batch loss=0.270592, epoch loss=1.708990
Batch=479, step=5280, lr=0.178250, batch loss=0.251811, epoch loss=1.960801
Batch=539, step=5340, lr=0.178000, batch loss=0.194373, epoch loss=2.155174
Batch=599, step=5400, lr=0.177750, batch loss=0.236071, epoch loss=2.391245
Batch=659, step=5460, lr=0.177500, batch loss=0.321593, epoch loss=2.712837
Batch=719, step=5520, lr=0.177250, batch loss=0.323740, epoch loss=3.036578
Batch=779, step=5580, lr=0.177000, batch loss=0.340438, epoch loss=3.377015
Batch=839, step=5640, lr=0.176750, batch loss=0.312098, epoch loss=3.689114
Batch=899, step=5700, lr=0.176500, batch loss=0.280222, epoch loss=3.969335
Batch=959, step=5760, lr=0.176250, batch loss=0.227072, epoch loss=4.196408
Batch=1019, step=5820, lr=0.176000, batch loss=0.324489, epoch loss=4.520897
Batch=1079, step=5880, lr=0.175750, batch loss=0.189719, epoch loss=4.710616
Batch=1139, step=5940, lr=0.175500, batch loss=0.222201, epoch loss=4.932817
Batch=1199, step=6000, lr=0.175250, batch loss=0.186174, epoch loss=5.118991
Epoch=4, step=6000, lr=0.175250, epoch loss=5.118991
Batch=59, step=6060, lr=0.175000, batch loss=0.232244, epoch loss=0.232244
Batch=119, step=6120, lr=0.174750, batch loss=0.194034, epoch loss=0.426279
Batch=179, step=6180, lr=0.174500, batch loss=0.200793, epoch loss=0.627071
Batch=239, step=6240, lr=0.174250, batch loss=0.303417, epoch loss=0.930488
Batch=299, step=6300, lr=0.174000, batch loss=0.210577, epoch loss=1.141065
Batch=359, step=6360, lr=0.173750, batch loss=0.274056, epoch loss=1.415121
Batch=419, step=6420, lr=0.173500, batch loss=0.266421, epoch loss=1.681543
Batch=479, step=6480, lr=0.173250, batch loss=0.243472, epoch loss=1.925014
Batch=539, step=6540, lr=0.173000, batch loss=0.194957, epoch loss=2.119971
Batch=599, step=6600, lr=0.172750, batch loss=0.234204, epoch loss=2.354176
Batch=659, step=6660, lr=0.172500, batch loss=0.312504, epoch loss=2.666679
Batch=719, step=6720, lr=0.172250, batch loss=0.318417, epoch loss=2.985096
Batch=779, step=6780, lr=0.172000, batch loss=0.334332, epoch loss=3.319428
Batch=839, step=6840, lr=0.171750, batch loss=0.303579, epoch loss=3.623007
Batch=899, step=6900, lr=0.171500, batch loss=0.267336, epoch loss=3.890343
Batch=959, step=6960, lr=0.171250, batch loss=0.211110, epoch loss=4.101453
Batch=1019, step=7020, lr=0.171000, batch loss=0.327581, epoch loss=4.429033
Batch=1079, step=7080, lr=0.170750, batch loss=0.182867, epoch loss=4.611901
Batch=1139, step=7140, lr=0.170500, batch loss=0.216231, epoch loss=4.828132
Batch=1199, step=7200, lr=0.170250, batch loss=0.182285, epoch loss=5.010417
Epoch=5, step=7200, lr=0.170250, epoch loss=5.010417
Batch=59, step=7260, lr=0.170000, batch loss=0.241590, epoch loss=0.241590
Batch=119, step=7320, lr=0.169750, batch loss=0.178989, epoch loss=0.420579
Batch=179, step=7380, lr=0.169500, batch loss=0.195030, epoch loss=0.615609
Batch=239, step=7440, lr=0.169250, batch loss=0.291224, epoch loss=0.906833
Batch=299, step=7500, lr=0.169000, batch loss=0.204973, epoch loss=1.111806
Batch=359, step=7560, lr=0.168750, batch loss=0.263104, epoch loss=1.374910
Batch=419, step=7620, lr=0.168500, batch loss=0.253351, epoch loss=1.628261
Batch=479, step=7680, lr=0.168250, batch loss=0.233701, epoch loss=1.861962
Batch=539, step=7740, lr=0.168000, batch loss=0.191217, epoch loss=2.053180
Batch=599, step=7800, lr=0.167750, batch loss=0.227273, epoch loss=2.280453
Batch=659, step=7860, lr=0.167500, batch loss=0.305604, epoch loss=2.586056
Batch=719, step=7920, lr=0.167250, batch loss=0.309013, epoch loss=2.895069
Batch=779, step=7980, lr=0.167000, batch loss=0.329651, epoch loss=3.224720
Batch=839, step=8040, lr=0.166750, batch loss=0.292215, epoch loss=3.516935
Batch=899, step=8100, lr=0.166500, batch loss=0.263549, epoch loss=3.780484
Batch=959, step=8160, lr=0.166250, batch loss=0.207173, epoch loss=3.987657
Batch=1019, step=8220, lr=0.166000, batch loss=0.315022, epoch loss=4.302679
Batch=1079, step=8280, lr=0.165750, batch loss=0.169767, epoch loss=4.472446
Batch=1139, step=8340, lr=0.165500, batch loss=0.207105, epoch loss=4.679551
Batch=1199, step=8400, lr=0.165250, batch loss=0.179247, epoch loss=4.858798
Epoch=6, step=8400, lr=0.165250, epoch loss=4.858798
Batch=59, step=8460, lr=0.165000, batch loss=0.227343, epoch loss=0.227343
Batch=119, step=8520, lr=0.164750, batch loss=0.175633, epoch loss=0.402976
Batch=179, step=8580, lr=0.164500, batch loss=0.187661, epoch loss=0.590637
Batch=239, step=8640, lr=0.164250, batch loss=0.277509, epoch loss=0.868146
Batch=299, step=8700, lr=0.164000, batch loss=0.189838, epoch loss=1.057985
Batch=359, step=8760, lr=0.163750, batch loss=0.249860, epoch loss=1.307845
Batch=419, step=8820, lr=0.163500, batch loss=0.244767, epoch loss=1.552612
Batch=479, step=8880, lr=0.163250, batch loss=0.227350, epoch loss=1.779961
Batch=539, step=8940, lr=0.163000, batch loss=0.180017, epoch loss=1.959978
Batch=599, step=9000, lr=0.162750, batch loss=0.216216, epoch loss=2.176195
Batch=659, step=9060, lr=0.162500, batch loss=0.293952, epoch loss=2.470146
Batch=719, step=9120, lr=0.162250, batch loss=0.295094, epoch loss=2.765240
Batch=779, step=9180, lr=0.162000, batch loss=0.314752, epoch loss=3.079991
Batch=839, step=9240, lr=0.161750, batch loss=0.286924, epoch loss=3.366915
Batch=899, step=9300, lr=0.161500, batch loss=0.250865, epoch loss=3.617780
Batch=959, step=9360, lr=0.161250, batch loss=0.189539, epoch loss=3.807319
Batch=1019, step=9420, lr=0.161000, batch loss=0.313518, epoch loss=4.120837
Batch=1079, step=9480, lr=0.160750, batch loss=0.188718, epoch loss=4.309554
Batch=1139, step=9540, lr=0.160500, batch loss=0.204744, epoch loss=4.514299
Batch=1199, step=9600, lr=0.160250, batch loss=0.165675, epoch loss=4.679974
Epoch=7, step=9600, lr=0.160250, epoch loss=4.679974
Batch=59, step=9660, lr=0.160000, batch loss=0.195514, epoch loss=0.195514
Batch=119, step=9720, lr=0.159750, batch loss=0.166278, epoch loss=0.361791
Batch=179, step=9780, lr=0.159500, batch loss=0.179237, epoch loss=0.541028
Batch=239, step=9840, lr=0.159250, batch loss=0.263010, epoch loss=0.804039
Batch=299, step=9900, lr=0.159000, batch loss=0.183183, epoch loss=0.987221
Batch=359, step=9960, lr=0.158750, batch loss=0.239791, epoch loss=1.227012
Batch=419, step=10020, lr=0.158500, batch loss=0.232761, epoch loss=1.459773
Batch=479, step=10080, lr=0.158250, batch loss=0.212581, epoch loss=1.672355
Batch=539, step=10140, lr=0.158000, batch loss=0.170985, epoch loss=1.843340
Batch=599, step=10200, lr=0.157750, batch loss=0.199994, epoch loss=2.043334
Batch=659, step=10260, lr=0.157500, batch loss=0.282693, epoch loss=2.326027
Batch=719, step=10320, lr=0.157250, batch loss=0.287593, epoch loss=2.613620
Batch=779, step=10380, lr=0.157000, batch loss=0.296175, epoch loss=2.909795
Batch=839, step=10440, lr=0.156750, batch loss=0.267032, epoch loss=3.176827
Batch=899, step=10500, lr=0.156500, batch loss=0.243064, epoch loss=3.419892
Batch=959, step=10560, lr=0.156250, batch loss=0.197105, epoch loss=3.616997
Batch=1019, step=10620, lr=0.156000, batch loss=0.282302, epoch loss=3.899299
Batch=1079, step=10680, lr=0.155750, batch loss=0.165824, epoch loss=4.065122
Batch=1139, step=10740, lr=0.155500, batch loss=0.197721, epoch loss=4.262843
Batch=1199, step=10800, lr=0.155250, batch loss=0.155149, epoch loss=4.417992
Epoch=8, step=10800, lr=0.155250, epoch loss=4.417992
Batch=59, step=10860, lr=0.155000, batch loss=0.194755, epoch loss=0.194755
Batch=119, step=10920, lr=0.154750, batch loss=0.159895, epoch loss=0.354650
Batch=179, step=10980, lr=0.154500, batch loss=0.168495, epoch loss=0.523145
Batch=239, step=11040, lr=0.154250, batch loss=0.244831, epoch loss=0.767976
Batch=299, step=11100, lr=0.154000, batch loss=0.166254, epoch loss=0.934229
Batch=359, step=11160, lr=0.153750, batch loss=0.221428, epoch loss=1.155658
Batch=419, step=11220, lr=0.153500, batch loss=0.227175, epoch loss=1.382833
Batch=479, step=11280, lr=0.153250, batch loss=0.203599, epoch loss=1.586432
Batch=539, step=11340, lr=0.153000, batch loss=0.157077, epoch loss=1.743508
Batch=599, step=11400, lr=0.152750, batch loss=0.173766, epoch loss=1.917275
Batch=659, step=11460, lr=0.152500, batch loss=0.262750, epoch loss=2.180025
Batch=719, step=11520, lr=0.152250, batch loss=0.260949, epoch loss=2.440974
Batch=779, step=11580, lr=0.152000, batch loss=0.269421, epoch loss=2.710395
Batch=839, step=11640, lr=0.151750, batch loss=0.257126, epoch loss=2.967521
Batch=899, step=11700, lr=0.151500, batch loss=0.216800, epoch loss=3.184321
Batch=959, step=11760, lr=0.151250, batch loss=0.172312, epoch loss=3.356633
Batch=1019, step=11820, lr=0.151000, batch loss=0.258888, epoch loss=3.615521
Batch=1079, step=11880, lr=0.150750, batch loss=0.135733, epoch loss=3.751254
Batch=1139, step=11940, lr=0.150500, batch loss=0.161973, epoch loss=3.913227
Batch=1199, step=12000, lr=0.150250, batch loss=0.138320, epoch loss=4.051547
Epoch=9, step=12000, lr=0.150250, epoch loss=4.051547
Batch=59, step=12060, lr=0.150000, batch loss=0.162318, epoch loss=0.162318
Batch=119, step=12120, lr=0.149750, batch loss=0.142871, epoch loss=0.305189
Batch=179, step=12180, lr=0.149500, batch loss=0.149511, epoch loss=0.454699
Batch=239, step=12240, lr=0.149250, batch loss=0.216509, epoch loss=0.671208
Batch=299, step=12300, lr=0.149000, batch loss=0.145233, epoch loss=0.816441
Batch=359, step=12360, lr=0.148750, batch loss=0.194903, epoch loss=1.011345
Batch=419, step=12420, lr=0.148500, batch loss=0.207141, epoch loss=1.218486
Batch=479, step=12480, lr=0.148250, batch loss=0.177595, epoch loss=1.396081
Batch=539, step=12540, lr=0.148000, batch loss=0.143250, epoch loss=1.539331
Batch=599, step=12600, lr=0.147750, batch loss=0.149168, epoch loss=1.688499
Batch=659, step=12660, lr=0.147500, batch loss=0.225424, epoch loss=1.913924
Batch=719, step=12720, lr=0.147250, batch loss=0.230087, epoch loss=2.144011
Batch=779, step=12780, lr=0.147000, batch loss=0.256829, epoch loss=2.400840
Batch=839, step=12840, lr=0.146750, batch loss=0.234762, epoch loss=2.635602
Batch=899, step=12900, lr=0.146500, batch loss=0.232063, epoch loss=2.867665
Batch=959, step=12960, lr=0.146250, batch loss=0.138121, epoch loss=3.005786
Batch=1019, step=13020, lr=0.146000, batch loss=0.211115, epoch loss=3.216901
Batch=1079, step=13080, lr=0.145750, batch loss=0.115882, epoch loss=3.332783
Batch=1139, step=13140, lr=0.145500, batch loss=0.158323, epoch loss=3.491105
Batch=1199, step=13200, lr=0.145250, batch loss=0.116751, epoch loss=3.607857
Epoch=10, step=13200, lr=0.145250, epoch loss=3.607857
Batch=59, step=13260, lr=0.145000, batch loss=0.137760, epoch loss=0.137760
Batch=119, step=13320, lr=0.144750, batch loss=0.116719, epoch loss=0.254479
Batch=179, step=13380, lr=0.144500, batch loss=0.127141, epoch loss=0.381620
Batch=239, step=13440, lr=0.144250, batch loss=0.184142, epoch loss=0.565762
Batch=299, step=13500, lr=0.144000, batch loss=0.118312, epoch loss=0.684075
Batch=359, step=13560, lr=0.143750, batch loss=0.162695, epoch loss=0.846769
Batch=419, step=13620, lr=0.143500, batch loss=0.160410, epoch loss=1.007179
Batch=479, step=13680, lr=0.143250, batch loss=0.147062, epoch loss=1.154241
Batch=539, step=13740, lr=0.143000, batch loss=0.116914, epoch loss=1.271154
Batch=599, step=13800, lr=0.142750, batch loss=0.119689, epoch loss=1.390844
Batch=659, step=13860, lr=0.142500, batch loss=0.176962, epoch loss=1.567805
Batch=719, step=13920, lr=0.142250, batch loss=0.172434, epoch loss=1.740239
Batch=779, step=13980, lr=0.142000, batch loss=0.179509, epoch loss=1.919748
Batch=839, step=14040, lr=0.141750, batch loss=0.203309, epoch loss=2.123057
Batch=899, step=14100, lr=0.141500, batch loss=0.219820, epoch loss=2.342877
Batch=959, step=14160, lr=0.141250, batch loss=0.101245, epoch loss=2.444122
Batch=1019, step=14220, lr=0.141000, batch loss=0.197157, epoch loss=2.641279
Batch=1079, step=14280, lr=0.140750, batch loss=0.081281, epoch loss=2.722560
Batch=1139, step=14340, lr=0.140500, batch loss=0.127035, epoch loss=2.849595
Batch=1199, step=14400, lr=0.140250, batch loss=0.085763, epoch loss=2.935358
Epoch=11, step=14400, lr=0.140250, epoch loss=2.935358
Batch=59, step=14460, lr=0.140000, batch loss=0.108552, epoch loss=0.108552
Batch=119, step=14520, lr=0.139750, batch loss=0.102743, epoch loss=0.211295
Batch=179, step=14580, lr=0.139500, batch loss=0.099294, epoch loss=0.310588
Batch=239, step=14640, lr=0.139250, batch loss=0.141565, epoch loss=0.452154
Batch=299, step=14700, lr=0.139000, batch loss=0.074930, epoch loss=0.527084
Batch=359, step=14760, lr=0.138750, batch loss=0.121854, epoch loss=0.648938
Batch=419, step=14820, lr=0.138500, batch loss=0.136889, epoch loss=0.785827
Batch=479, step=14880, lr=0.138250, batch loss=0.092822, epoch loss=0.878649
Batch=539, step=14940, lr=0.138000, batch loss=0.085482, epoch loss=0.964131
Batch=599, step=15000, lr=0.137750, batch loss=0.086179, epoch loss=1.050310
Batch=659, step=15060, lr=0.137500, batch loss=0.141435, epoch loss=1.191745
Batch=719, step=15120, lr=0.137250, batch loss=0.168932, epoch loss=1.360677
Batch=779, step=15180, lr=0.137000, batch loss=0.337616, epoch loss=1.698293
Batch=839, step=15240, lr=0.136750, batch loss=0.134731, epoch loss=1.833024
Batch=899, step=15300, lr=0.136500, batch loss=0.111274, epoch loss=1.944298
Batch=959, step=15360, lr=0.136250, batch loss=0.098062, epoch loss=2.042360
Batch=1019, step=15420, lr=0.136000, batch loss=0.168811, epoch loss=2.211171
Batch=1079, step=15480, lr=0.135750, batch loss=0.040449, epoch loss=2.251620
Batch=1139, step=15540, lr=0.135500, batch loss=0.093481, epoch loss=2.345100
Batch=1199, step=15600, lr=0.135250, batch loss=0.058738, epoch loss=2.403839
Epoch=12, step=15600, lr=0.135250, epoch loss=2.403839
Batch=59, step=15660, lr=0.135000, batch loss=0.074345, epoch loss=0.074345
Batch=119, step=15720, lr=0.134750, batch loss=0.122739, epoch loss=0.197084
Batch=179, step=15780, lr=0.134500, batch loss=0.092051, epoch loss=0.289134
Batch=239, step=15840, lr=0.134250, batch loss=0.094314, epoch loss=0.383449
Batch=299, step=15900, lr=0.134000, batch loss=0.038141, epoch loss=0.421589
Batch=359, step=15960, lr=0.133750, batch loss=0.081912, epoch loss=0.503501
Batch=419, step=16020, lr=0.133500, batch loss=0.080279, epoch loss=0.583780
Batch=479, step=16080, lr=0.133250, batch loss=0.069131, epoch loss=0.652912
Batch=539, step=16140, lr=0.133000, batch loss=0.053219, epoch loss=0.706131
Batch=599, step=16200, lr=0.132750, batch loss=0.098679, epoch loss=0.804810
Batch=659, step=16260, lr=0.132500, batch loss=0.076336, epoch loss=0.881146
Batch=719, step=16320, lr=0.132250, batch loss=0.085634, epoch loss=0.966780
Batch=779, step=16380, lr=0.132000, batch loss=0.111744, epoch loss=1.078525
Batch=839, step=16440, lr=0.131750, batch loss=0.122053, epoch loss=1.200577
Batch=899, step=16500, lr=0.131500, batch loss=0.155099, epoch loss=1.355676
Batch=959, step=16560, lr=0.131250, batch loss=0.044209, epoch loss=1.399885
Batch=1019, step=16620, lr=0.131000, batch loss=0.101740, epoch loss=1.501625
Batch=1079, step=16680, lr=0.130750, batch loss=0.025892, epoch loss=1.527517
Batch=1139, step=16740, lr=0.130500, batch loss=0.053691, epoch loss=1.581207
Batch=1199, step=16800, lr=0.130250, batch loss=0.029929, epoch loss=1.611136
Epoch=13, step=16800, lr=0.130250, epoch loss=1.611136
Batch=59, step=16860, lr=0.130000, batch loss=0.036071, epoch loss=0.036071
Batch=119, step=16920, lr=0.129750, batch loss=0.048231, epoch loss=0.084301
Batch=179, step=16980, lr=0.129500, batch loss=0.048320, epoch loss=0.132622
Batch=239, step=17040, lr=0.129250, batch loss=0.069277, epoch loss=0.201899
Batch=299, step=17100, lr=0.129000, batch loss=0.042899, epoch loss=0.244798
Batch=359, step=17160, lr=0.128750, batch loss=0.051271, epoch loss=0.296070
Batch=419, step=17220, lr=0.128500, batch loss=0.084853, epoch loss=0.380923
Batch=479, step=17280, lr=0.128250, batch loss=0.026057, epoch loss=0.406980
Batch=539, step=17340, lr=0.128000, batch loss=0.027975, epoch loss=0.434955
Batch=599, step=17400, lr=0.127750, batch loss=0.034554, epoch loss=0.469509
Batch=659, step=17460, lr=0.127500, batch loss=0.046274, epoch loss=0.515783
Batch=719, step=17520, lr=0.127250, batch loss=0.052959, epoch loss=0.568742
Batch=779, step=17580, lr=0.127000, batch loss=0.129055, epoch loss=0.697797
Batch=839, step=17640, lr=0.126750, batch loss=0.094454, epoch loss=0.792251
Batch=899, step=17700, lr=0.126500, batch loss=0.121769, epoch loss=0.914020
Batch=959, step=17760, lr=0.126250, batch loss=0.021236, epoch loss=0.935257
Batch=1019, step=17820, lr=0.126000, batch loss=0.033974, epoch loss=0.969230
Batch=1079, step=17880, lr=0.125750, batch loss=0.011704, epoch loss=0.980934
Batch=1139, step=17940, lr=0.125500, batch loss=0.031616, epoch loss=1.012550
Batch=1199, step=18000, lr=0.125250, batch loss=0.014908, epoch loss=1.027458
Epoch=14, step=18000, lr=0.125250, epoch loss=1.027458
Batch=59, step=18060, lr=0.125000, batch loss=0.012103, epoch loss=0.012103
Batch=119, step=18120, lr=0.124750, batch loss=0.035049, epoch loss=0.047153
Batch=179, step=18180, lr=0.124500, batch loss=0.095140, epoch loss=0.142292
Batch=239, step=18240, lr=0.124250, batch loss=0.046552, epoch loss=0.188844
Batch=299, step=18300, lr=0.124000, batch loss=0.009618, epoch loss=0.198463
Batch=359, step=18360, lr=0.123750, batch loss=0.026827, epoch loss=0.225289
Batch=419, step=18420, lr=0.123500, batch loss=0.027961, epoch loss=0.253250
Batch=479, step=18480, lr=0.123250, batch loss=0.012041, epoch loss=0.265291
Batch=539, step=18540, lr=0.123000, batch loss=0.021214, epoch loss=0.286506
Batch=599, step=18600, lr=0.122750, batch loss=0.024919, epoch loss=0.311425
Batch=659, step=18660, lr=0.122500, batch loss=0.030826, epoch loss=0.342251
Batch=719, step=18720, lr=0.122250, batch loss=0.045292, epoch loss=0.387543
Batch=779, step=18780, lr=0.122000, batch loss=0.115289, epoch loss=0.502831
Batch=839, step=18840, lr=0.121750, batch loss=0.055623, epoch loss=0.558454
Batch=899, step=18900, lr=0.121500, batch loss=0.052428, epoch loss=0.610883
Batch=959, step=18960, lr=0.121250, batch loss=0.013602, epoch loss=0.624484
Batch=1019, step=19020, lr=0.121000, batch loss=0.017757, epoch loss=0.642241
Batch=1079, step=19080, lr=0.120750, batch loss=0.005949, epoch loss=0.648190
Batch=1139, step=19140, lr=0.120500, batch loss=0.025050, epoch loss=0.673240
Batch=1199, step=19200, lr=0.120250, batch loss=0.010395, epoch loss=0.683635
Epoch=15, step=19200, lr=0.120250, epoch loss=0.683635
Batch=59, step=19260, lr=0.120000, batch loss=0.005950, epoch loss=0.005950
Batch=119, step=19320, lr=0.119750, batch loss=0.018048, epoch loss=0.023998
Batch=179, step=19380, lr=0.119500, batch loss=0.055286, epoch loss=0.079284
Batch=239, step=19440, lr=0.119250, batch loss=0.023266, epoch loss=0.102550
Batch=299, step=19500, lr=0.119000, batch loss=0.019022, epoch loss=0.121572
Batch=359, step=19560, lr=0.118750, batch loss=0.033441, epoch loss=0.155013
Batch=419, step=19620, lr=0.118500, batch loss=0.020290, epoch loss=0.175304
Batch=479, step=19680, lr=0.118250, batch loss=0.008998, epoch loss=0.184302
Batch=539, step=19740, lr=0.118000, batch loss=0.017646, epoch loss=0.201948
Batch=599, step=19800, lr=0.117500, batch loss=0.023315, epoch loss=0.225262
Batch=659, step=19860, lr=0.117250, batch loss=0.020409, epoch loss=0.245672
Batch=719, step=19920, lr=0.117250, batch loss=0.052804, epoch loss=0.298476
Batch=779, step=19980, lr=0.116750, batch loss=0.085355, epoch loss=0.383831
Batch=839, step=20040, lr=0.116750, batch loss=0.030969, epoch loss=0.414800
Batch=899, step=20100, lr=0.116500, batch loss=0.032913, epoch loss=0.447713
Batch=959, step=20160, lr=0.116000, batch loss=0.011360, epoch loss=0.459073
Batch=1019, step=20220, lr=0.115750, batch loss=0.015046, epoch loss=0.474119
Batch=1079, step=20280, lr=0.115750, batch loss=0.001857, epoch loss=0.475976
Batch=1139, step=20340, lr=0.115500, batch loss=0.014883, epoch loss=0.490859
Batch=1199, step=20400, lr=0.115000, batch loss=0.005328, epoch loss=0.496186
Epoch=16, step=20400, lr=0.115000, epoch loss=0.496186
Batch=59, step=20460, lr=0.114750, batch loss=0.002896, epoch loss=0.002896
Batch=119, step=20520, lr=0.114750, batch loss=0.008323, epoch loss=0.011219
Batch=179, step=20580, lr=0.114500, batch loss=0.015927, epoch loss=0.027146
Batch=239, step=20640, lr=0.114250, batch loss=0.026179, epoch loss=0.053325
Batch=299, step=20700, lr=0.114000, batch loss=0.016495, epoch loss=0.069820
Batch=359, step=20760, lr=0.113750, batch loss=0.017195, epoch loss=0.087015
Batch=419, step=20820, lr=0.113500, batch loss=0.014907, epoch loss=0.101922
Batch=479, step=20880, lr=0.113250, batch loss=0.003723, epoch loss=0.105645
Batch=539, step=20940, lr=0.113000, batch loss=0.017849, epoch loss=0.123495
Batch=599, step=21000, lr=0.112750, batch loss=0.020227, epoch loss=0.143722
Batch=659, step=21060, lr=0.112500, batch loss=0.017278, epoch loss=0.161000
Batch=719, step=21120, lr=0.112250, batch loss=0.052291, epoch loss=0.213291
Batch=779, step=21180, lr=0.112000, batch loss=0.065431, epoch loss=0.278721
Batch=839, step=21240, lr=0.111750, batch loss=0.024667, epoch loss=0.303389
Batch=899, step=21300, lr=0.111500, batch loss=0.026974, epoch loss=0.330363
Batch=959, step=21360, lr=0.111250, batch loss=0.010565, epoch loss=0.340928
Batch=1019, step=21420, lr=0.111000, batch loss=0.010449, epoch loss=0.351376
Batch=1079, step=21480, lr=0.110750, batch loss=0.001900, epoch loss=0.353276
Batch=1139, step=21540, lr=0.110500, batch loss=0.012027, epoch loss=0.365303
Batch=1199, step=21600, lr=0.110250, batch loss=0.004420, epoch loss=0.369723
Epoch=17, step=21600, lr=0.110250, epoch loss=0.369723
Batch=59, step=21660, lr=0.110000, batch loss=0.002159, epoch loss=0.002159
Batch=119, step=21720, lr=0.109750, batch loss=0.007251, epoch loss=0.009410
Batch=179, step=21780, lr=0.109500, batch loss=0.012134, epoch loss=0.021544
Batch=239, step=21840, lr=0.109250, batch loss=0.009505, epoch loss=0.031048
Batch=299, step=21900, lr=0.109000, batch loss=0.005454, epoch loss=0.036502
Batch=359, step=21960, lr=0.108750, batch loss=0.011653, epoch loss=0.048155
Batch=419, step=22020, lr=0.108500, batch loss=0.012086, epoch loss=0.060242
Batch=479, step=22080, lr=0.108250, batch loss=0.003931, epoch loss=0.064172
Batch=539, step=22140, lr=0.108000, batch loss=0.015172, epoch loss=0.079345
Batch=599, step=22200, lr=0.107750, batch loss=0.015505, epoch loss=0.094850
Batch=659, step=22260, lr=0.107500, batch loss=0.013033, epoch loss=0.107883
Batch=719, step=22320, lr=0.107250, batch loss=0.021831, epoch loss=0.129713
Batch=779, step=22380, lr=0.107000, batch loss=0.029894, epoch loss=0.159607
Batch=839, step=22440, lr=0.106750, batch loss=0.027498, epoch loss=0.187105
Batch=899, step=22500, lr=0.106500, batch loss=0.024855, epoch loss=0.211960
Batch=959, step=22560, lr=0.106250, batch loss=0.009492, epoch loss=0.221453
Batch=1019, step=22620, lr=0.106000, batch loss=0.009338, epoch loss=0.230791
Batch=1079, step=22680, lr=0.105750, batch loss=0.001983, epoch loss=0.232775
Batch=1139, step=22740, lr=0.105500, batch loss=0.011475, epoch loss=0.244249
Batch=1199, step=22800, lr=0.105250, batch loss=0.005176, epoch loss=0.249426
Epoch=18, step=22800, lr=0.105250, epoch loss=0.249426
Batch=59, step=22860, lr=0.105000, batch loss=0.002290, epoch loss=0.002290
Batch=119, step=22920, lr=0.104750, batch loss=0.005039, epoch loss=0.007329
Batch=179, step=22980, lr=0.104500, batch loss=0.012142, epoch loss=0.019471
Batch=239, step=23040, lr=0.104250, batch loss=0.008075, epoch loss=0.027547
Batch=299, step=23100, lr=0.104000, batch loss=0.004160, epoch loss=0.031706
Batch=359, step=23160, lr=0.103750, batch loss=0.011925, epoch loss=0.043631
Batch=419, step=23220, lr=0.103500, batch loss=0.010390, epoch loss=0.054021
Batch=479, step=23280, lr=0.103250, batch loss=0.003889, epoch loss=0.057910
Batch=539, step=23340, lr=0.103000, batch loss=0.014492, epoch loss=0.072402
Batch=599, step=23400, lr=0.102750, batch loss=0.014038, epoch loss=0.086441
Batch=659, step=23460, lr=0.102500, batch loss=0.013065, epoch loss=0.099505
Batch=719, step=23520, lr=0.102250, batch loss=0.015245, epoch loss=0.114751
Batch=779, step=23580, lr=0.102000, batch loss=0.022051, epoch loss=0.136802
Batch=839, step=23640, lr=0.101750, batch loss=0.026075, epoch loss=0.162877
Batch=899, step=23700, lr=0.101500, batch loss=0.021333, epoch loss=0.184210
Batch=959, step=23760, lr=0.101250, batch loss=0.008009, epoch loss=0.192218
Batch=1019, step=23820, lr=0.101000, batch loss=0.008178, epoch loss=0.200397
Batch=1079, step=23880, lr=0.100750, batch loss=0.001126, epoch loss=0.201523
Batch=1139, step=23940, lr=0.100500, batch loss=0.009085, epoch loss=0.210608
Batch=1199, step=24000, lr=0.100250, batch loss=0.004789, epoch loss=0.215397
Epoch=19, step=24000, lr=0.100250, epoch loss=0.215397


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 21:24.06 ---> saved as "4055ed94995557625b962950ac076f796fc745ecccd3f4c8c80bc1ed301b60c6"
Job succeeded
2025-03-20 21:24.07: Job succeeded