opensuse-15.6-5.3_opam-2.3

2025-05-10 12:34.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (95dddcaeb6be8e792001ef8acd80af8e44d112ac) (linux-x86_64:opensuse-15.6-5.3_opam-2.3)
Base: ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 95dddcae
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600
# opensuse-15.6-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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 astring.0.8.5 backoff.0.1.1 base.v0.17.2 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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


2025-05-10 12:34.49: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600-opensuse-15.6-5.3_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc"
2025-05-10 12:34.49: Using OBuilder spec:
((from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600)
(comment opensuse-15.6-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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 astring.0.8.5 backoff.0.1.1 base.v0.17.2 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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"))
)


2025-05-10 12:34.49: Waiting for resource in pool OCluster
2025-05-10 12:34.49: Waiting for worker…
2025-05-10 12:35.01: Got resource from pool OCluster
Building on bremusa.ocamllabs.io
HEAD is now at d36b4190 experiment
HEAD is now at 95dddcae Don't fail if ocannl_config not found


(from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600)
Unable to find image 'ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600' locally
docker.io/ocaml/opam@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600: Pulling from ocaml/opam
dd194abb521a: Pulling fs layer
dd194abb521a: Verifying Checksum
dd194abb521a: Download complete
dd194abb521a: Pull complete
Digest: sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600
Status: Downloaded newer image for ocaml/opam@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600
2025-05-10 12:35.02 ---> using "e2985c4688e78c185fe5effed79d132da1434e7bdd40f94bb99436d3b96690ce" from cache


/: (comment opensuse-15.6-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-10 12:35.02 ---> using "50434b1af48c812e5b8b97b6a092abb9dd6da5001ea1c138b231ba3655932e87" 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 ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-10 12:35.02 ---> using "7cefc43bb115418c0e97b1444415cc019594bb8990b6e1f2ed0a436414564ab1" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 6.8.0-55-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-10 12:35.02 ---> using "bbea99c20ed515ef2fe261fc823d093d079ef495d3a45cfaf2f85630d6f346ad" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-10 12:35.02 ---> using "42f82abd2853d50c6163e98a7ac94c7848ae533331533f1aa6d2fbe1dddc149c" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
35eb2f107a..0d013e603b  master     -> origin/master
997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[default] synchronised from git+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)
2025-05-10 12:35.02 ---> using "2415ab7306ec3082b4f1ed0abb02fca4f313d14995e38483342aed5820bf69c6" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-10 12:35.02 ---> using "8e1108dd40ba51439f6e1676c0eff290d26833fde6f7abb458c2ae9f02823372" 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)
2025-05-10 12:35.02 ---> using "041919ec116e6235798633087982abedbfcf89babd6c39612469ed23b0e67c59" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-10 12:35.02 ---> using "2c78ae7a921eca928ad897bd88741558b89e2199c93ed4f759e5e655e2a39950" from cache


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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 "zypper" "--non-interactive" "refresh"
- Retrieving repository 'Update repository of openSUSE Backports' metadata [.....
- ..........done]
- Building repository 'Update repository of openSUSE Backports' cache [..
- ..done]
- Retrieving repository 'Update repository with updates from SUSE Linux Enterprise 15' metadata [......
- .........
- ..........
- ..........
- .........
- ..........
- ........
- ......
- .....done]
- Building repository 'Update repository with updates from SUSE Linux Enterprise 15' cache [..
- ..done]
- Repository 'Main Update Repository' is up to date.
- Repository 'Update Repository (Non-Oss)' is up to date.
- Repository 'Non-OSS Repository' is up to date.
- Repository 'Main Repository' is up to date.
- All repositories have been refreshed.


<><> 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 "zypper" "--non-interactive" "install" "libffi-devel"
- Loading repository data...
- Reading installed packages...
- Resolving package dependencies...
- 
- The following NEW package is going to be installed:
-   libffi-devel
- 
- 1 new package to install.
- 
- Package download size:    26.7 KiB
- 
- Package install size change:
-               |      29.1 KiB  required by packages that will be installed
-     29.1 KiB  |  -      0 B    released by packages that will be removed
- 
- Backend:  classic_rpmtrans
- Continue? [y/n/v/...? shows all options] (y): y
- Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64 (Main Repository) (1/1),  26.7 KiB
- Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64.rpm [..done (26.7 KiB/s)]
- 
- Checking for file conflicts: [..done]
- (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done]
2025-05-10 12:35.02 ---> using "95446ccb1fddec0c7becd4bbbc5ab988fb87093d0a7882566ed5e30822aa7c1b" 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 74 packages
- install angstrom                0.16.1
- install astring                 0.8.5
- install backoff                 0.1.1
- install base                    v0.17.2
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install camlp-streams           5.0.1
- install cmdliner                1.3.0
- 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                    3.18.2
- install dune-configurator       3.18.2
- install fieldslib               v0.17.0
- install fmt                     0.10.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install logs                    0.8.0
- install mdx                     2.5.0
- 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-version           4.0.0
- 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           2.2.0
- 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 result                  1.5
- 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 thread-local-storage    0.2
- 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 astring.0.8.5  (https://erratique.ch/software/astring/releases/astring-0.8.5.tbz)
-> retrieved angstrom.0.16.1  (https://github.com/inhabitedtype/angstrom/archive/0.16.1.tar.gz)
-> retrieved backoff.0.1.1  (https://github.com/ocaml-multicore/backoff/releases/download/0.1.1/backoff-0.1.1.tbz)
-> retrieved base.v0.17.2  (https://github.com/janestreet/base/archive/refs/tags/v0.17.2.tar.gz)
-> retrieved bigarray-compat.1.1.0  (https://github.com/mirage/bigarray-compat/releases/download/v1.1.0/bigarray-compat-1.1.0.tbz)
-> retrieved bigstringaf.0.10.0  (https://github.com/inhabitedtype/bigstringaf/archive/0.10.0.tar.gz)
-> installed conf-pkg-config.4
-> installed conf-libffi.2.0.0
-> retrieved camlp-streams.5.0.1  (https://github.com/ocaml/camlp-streams/archive/v5.0.1.tar.gz)
-> retrieved cmdliner.1.3.0  (https://erratique.ch/software/cmdliner/releases/cmdliner-1.3.0.tbz)
-> retrieved cppo.1.8.0  (https://github.com/ocaml-community/cppo/archive/v1.8.0.tar.gz)
-> retrieved csexp.1.5.2  (https://github.com/ocaml-dune/csexp/releases/download/1.5.2/csexp-1.5.2.tbz)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (https://github.com/yallop/ocaml-ctypes/archive/refs/tags/0.23.0.tar.gz)
-> retrieved fieldslib.v0.17.0  (https://github.com/janestreet/fieldslib/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved fmt.0.10.0  (https://erratique.ch/software/fmt/releases/fmt-0.10.0.tbz)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved jane-street-headers.v0.17.0  (https://github.com/janestreet/jane-street-headers/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved integers.0.7.0  (https://github.com/yallop/ocaml-integers/archive/0.7.0.tar.gz)
-> retrieved jst-config.v0.17.0  (https://github.com/janestreet/jst-config/archive/refs/tags/v0.17.0.tar.gz)
-> installed cmdliner.1.3.0
-> retrieved logs.0.8.0  (https://erratique.ch/software/logs/releases/logs-0.8.0.tbz)
-> retrieved mdx.2.5.0  (https://github.com/realworldocaml/mdx/releases/download/2.5.0/mdx-2.5.0.tbz)
-> retrieved mtime.2.1.0  (https://erratique.ch/software/mtime/releases/mtime-2.1.0.tbz)
-> retrieved multicore-magic.2.3.1  (https://github.com/ocaml-multicore/multicore-magic/releases/download/2.3.1/multicore-magic-2.3.1.tbz)
-> retrieved ocaml-compiler-libs.v0.17.0  (https://github.com/janestreet/ocaml-compiler-libs/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ocaml-syntax-shims.1.0.0  (https://github.com/ocaml-ppx/ocaml-syntax-shims/releases/download/1.0.0/ocaml-syntax-shims-1.0.0.tbz)
-> retrieved num.1.5-1  (https://github.com/ocaml/num/archive/v1.5.tar.gz)
-> retrieved ocaml-version.4.0.0  (https://github.com/ocurrent/ocaml-version/releases/download/v4.0.0/ocaml-version-4.0.0.tbz)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (https://github.com/janestreet/ocaml_intrinsics_kernel/archive/refs/tags/v0.17.1.tar.gz)
-> retrieved ocamlbuild.0.16.1  (https://github.com/ocaml/ocamlbuild/archive/refs/tags/0.16.1.tar.gz)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (https://github.com/janestreet/parsexp/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_assert.v0.17.0  (https://github.com/janestreet/ppx_assert/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_base.v0.17.0  (https://github.com/janestreet/ppx_base/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_derivers.1.2.1  (https://github.com/ocaml-ppx/ppx_derivers/archive/1.2.1.tar.gz)
-> retrieved ppx_cold.v0.17.0  (https://github.com/janestreet/ppx_cold/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_compare.v0.17.0  (https://github.com/janestreet/ppx_compare/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_expect.v0.17.2  (https://github.com/janestreet/ppx_expect/archive/refs/tags/v0.17.2.tar.gz)
-> retrieved ppx_enumerate.v0.17.0  (https://github.com/janestreet/ppx_enumerate/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_deriving.6.0.3  (https://github.com/ocaml-ppx/ppx_deriving/releases/download/v6.0.3/ppx_deriving-6.0.3.tbz)
-> retrieved ppx_globalize.v0.17.0  (https://github.com/janestreet/ppx_globalize/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_fields_conv.v0.17.0  (https://github.com/janestreet/ppx_fields_conv/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_hash.v0.17.0  (https://github.com/janestreet/ppx_hash/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_here.v0.17.0  (https://github.com/janestreet/ppx_here/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_inline_test.v0.17.0  (https://github.com/janestreet/ppx_inline_test/archive/refs/tags/v0.17.0.tar.gz)
-> installed num.1.5-1
-> retrieved ppx_optcomp.v0.17.0  (https://github.com/janestreet/ppx_optcomp/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_sexp_conv.v0.17.0  (https://github.com/janestreet/ppx_sexp_conv/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_minidebug.2.2.0  (https://github.com/lukstafi/ppx_minidebug/archive/refs/tags/2.2.0.tar.gz)
-> retrieved ppx_string.v0.17.0  (https://github.com/janestreet/ppx_string/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_variants_conv.v0.17.0  (https://github.com/janestreet/ppx_variants_conv/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppxlib_jane.v0.17.2  (https://github.com/janestreet/ppxlib_jane/archive/refs/tags/v0.17.2.tar.gz)
-> retrieved ppxlib.0.35.0  (https://github.com/ocaml-ppx/ppxlib/releases/download/0.35.0/ppxlib-0.35.0.tbz)
-> retrieved ptime.1.2.0  (https://erratique.ch/software/ptime/releases/ptime-1.2.0.tbz)
-> retrieved re.1.12.0  (https://github.com/ocaml/ocaml-re/releases/download/1.12.0/re-1.12.0.tbz)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (https://github.com/c-cube/printbox/releases/download/v0.12/printbox-0.12.tbz)
-> retrieved result.1.5  (https://github.com/janestreet/result/releases/download/1.5/result-1.5.tbz)
-> retrieved seq.base  (2 extra sources)
-> retrieved seq.base  (2 extra sources)
-> installed seq.base
-> retrieved saturn_lockfree.0.5.0  (https://github.com/ocaml-multicore/saturn/releases/download/0.5.0/saturn-0.5.0.tbz)
-> retrieved sexplib.v0.17.0  (https://github.com/janestreet/sexplib/archive/refs/tags/v0.17.0.tar.gz)
-> installed ocamlfind.1.9.8
-> retrieved sexplib0.v0.17.0  (https://github.com/janestreet/sexplib0/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved stdio.v0.17.0  (https://github.com/janestreet/stdio/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved stdlib-shims.0.3.0  (https://github.com/ocaml/stdlib-shims/releases/download/0.3.0/stdlib-shims-0.3.0.tbz)
-> retrieved topkg.1.0.8  (https://erratique.ch/software/topkg/releases/topkg-1.0.8.tbz)
-> retrieved thread-local-storage.0.2  (https://github.com/c-cube/thread-local-storage/releases/download/v0.2/thread-local-storage-0.2.tbz)
-> retrieved time_now.v0.17.0  (https://github.com/janestreet/time_now/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved uutf.1.0.4  (https://erratique.ch/software/uutf/releases/uutf-1.0.4.tbz)
-> retrieved uucp.16.0.0  (https://erratique.ch/software/uucp/releases/uucp-16.0.0.tbz)
-> retrieved tyxml.4.6.0  (https://github.com/ocsigen/tyxml/releases/download/4.6.0/tyxml-4.6.0.tbz)
-> retrieved variantslib.v0.17.0  (https://github.com/janestreet/variantslib/archive/refs/tags/v0.17.0.tar.gz)
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.2
-> 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 camlp-streams.5.0.1
-> installed cppo.1.8.0
-> installed multicore-magic.2.3.1
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed printbox.0.12
-> installed re.1.12.0
-> installed result.1.5
-> installed ocaml-syntax-shims.1.0.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.2
-> installed bigstringaf.0.10.0
-> installed mdx.2.5.0
-> 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.v0.17.2
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> 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)
2025-05-10 12:35.02 ---> using "1d81af7b670c73a51c7ec64ca20140022e713c3ae8a5945ed575ff4f5f4bc183" from cache


/src: (copy (src .) (dst /src))
2025-05-10 12:35.02 ---> saved as "4513c638ebbb979d149bc1d0e984970d4d06435e527e0a7ce07faf91403f0b59"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/95263526cc324dd97520d381d02a44fd/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.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/52b0269b94e9c62f91e8f20e17e26263/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
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 72))))
@!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=0.194500, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243648, epoch loss=0.711028
Batch=239, step=1440, lr=0.194250, batch loss=0.347884, epoch loss=1.058912
Batch=299, step=1500, lr=0.194000, batch loss=0.247376, epoch loss=1.306288
Batch=359, step=1560, lr=0.193750, batch loss=0.316538, epoch loss=1.622827
Batch=419, step=1620, lr=0.193500, batch loss=0.312762, epoch loss=1.935589
Batch=479, step=1680, lr=0.193250, batch loss=0.276254, epoch loss=2.211843
Batch=539, step=1740, lr=0.193000, batch loss=0.209847, epoch loss=2.421689
Batch=599, step=1800, lr=0.192750, batch loss=0.250347, epoch loss=2.672036
Batch=659, step=1860, lr=0.192500, batch loss=0.367235, epoch loss=3.039271
Batch=719, step=1920, lr=0.192250, batch loss=0.354885, epoch loss=3.394157
Batch=779, step=1980, lr=0.192000, batch loss=0.381412, epoch loss=3.775569
Batch=839, step=2040, lr=0.191750, batch loss=0.339635, epoch loss=4.115204
Batch=899, step=2100, lr=0.191500, batch loss=0.295241, epoch loss=4.410444
Batch=959, step=2160, lr=0.191250, batch loss=0.214004, epoch loss=4.624448
Batch=1019, step=2220, lr=0.191000, batch loss=0.331041, epoch loss=4.955489
Batch=1079, step=2280, lr=0.190750, batch loss=0.208153, epoch loss=5.163642
Batch=1139, step=2340, lr=0.190500, batch loss=0.278446, epoch loss=5.442088
Batch=1199, step=2400, lr=0.190250, batch loss=0.220772, epoch loss=5.662860
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662860
Batch=59, step=2460, lr=0.190000, batch loss=0.230334, epoch loss=0.230334
Batch=119, step=2520, lr=0.189750, batch loss=0.195995, epoch loss=0.426329
Batch=179, step=2580, lr=0.189500, batch loss=0.221146, epoch loss=0.647475
Batch=239, step=2640, lr=0.189250, batch loss=0.328103, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202977, epoch loss=1.178555
Batch=359, step=2760, lr=0.188750, batch loss=0.289866, epoch loss=1.468421
Batch=419, step=2820, lr=0.188500, batch loss=0.281778, epoch loss=1.750199
Batch=479, step=2880, lr=0.188250, batch loss=0.264805, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203848, epoch loss=2.218852
Batch=599, step=3000, lr=0.187750, batch loss=0.248022, epoch loss=2.466874
Batch=659, step=3060, lr=0.187500, batch loss=0.345096, epoch loss=2.811970
Batch=719, step=3120, lr=0.187250, batch loss=0.343499, epoch loss=3.155469
Batch=779, step=3180, lr=0.187000, batch loss=0.367031, epoch loss=3.522500
Batch=839, step=3240, lr=0.186750, batch loss=0.321764, epoch loss=3.844264
Batch=899, step=3300, lr=0.186500, batch loss=0.283901, epoch loss=4.128165
Batch=959, step=3360, lr=0.186250, batch loss=0.214363, epoch loss=4.342529
Batch=1019, step=3420, lr=0.186000, batch loss=0.306466, epoch loss=4.648995
Batch=1079, step=3480, lr=0.185750, batch loss=0.177246, epoch loss=4.826241
Batch=1139, step=3540, lr=0.185500, batch loss=0.235618, epoch loss=5.061859
Batch=1199, step=3600, lr=0.185250, batch loss=0.197914, epoch loss=5.259773
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259773
Batch=59, step=3660, lr=0.185000, batch loss=0.226490, epoch loss=0.226490
Batch=119, step=3720, lr=0.184750, batch loss=0.191849, epoch loss=0.418338
Batch=179, step=3780, lr=0.184500, batch loss=0.210710, epoch loss=0.629048
Batch=239, step=3840, lr=0.184250, batch loss=0.314088, epoch loss=0.943136
Batch=299, step=3900, lr=0.184000, batch loss=0.206078, epoch loss=1.149215
Batch=359, step=3960, lr=0.183750, batch loss=0.291173, epoch loss=1.440388
Batch=419, step=4020, lr=0.183500, batch loss=0.297507, epoch loss=1.737895
Batch=479, step=4080, lr=0.183250, batch loss=0.260460, epoch loss=1.998355
Batch=539, step=4140, lr=0.183000, batch loss=0.195274, epoch loss=2.193628
Batch=599, step=4200, lr=0.182750, batch loss=0.230330, epoch loss=2.423959
Batch=659, step=4260, lr=0.182500, batch loss=0.337204, epoch loss=2.761163
Batch=719, step=4320, lr=0.182250, batch loss=0.347062, epoch loss=3.108225
Batch=779, step=4380, lr=0.182000, batch loss=0.346372, epoch loss=3.454597
Batch=839, step=4440, lr=0.181750, batch loss=0.317723, epoch loss=3.772320
Batch=899, step=4500, lr=0.181500, batch loss=0.283986, epoch loss=4.056306
Batch=959, step=4560, lr=0.181250, batch loss=0.238260, epoch loss=4.294566
Batch=1019, step=4620, lr=0.181000, batch loss=0.337025, epoch loss=4.631591
Batch=1079, step=4680, lr=0.180750, batch loss=0.208451, epoch loss=4.840042
Batch=1139, step=4740, lr=0.180500, batch loss=0.249298, epoch loss=5.089340
Batch=1199, step=4800, lr=0.180250, batch loss=0.191772, epoch loss=5.281112
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281112
Batch=59, step=4860, lr=0.180000, batch loss=0.228004, epoch loss=0.228004
Batch=119, step=4920, lr=0.179750, batch loss=0.190281, epoch loss=0.418286
Batch=179, step=4980, lr=0.179500, batch loss=0.205911, epoch loss=0.624197
Batch=239, step=5040, lr=0.179250, batch loss=0.309035, epoch loss=0.933232
Batch=299, step=5100, lr=0.179000, batch loss=0.204663, epoch loss=1.137894
Batch=359, step=5160, lr=0.178750, batch loss=0.271100, epoch loss=1.408994
Batch=419, step=5220, lr=0.178500, batch loss=0.264070, epoch loss=1.673064
Batch=479, step=5280, lr=0.178250, batch loss=0.239663, epoch loss=1.912727
Batch=539, step=5340, lr=0.178000, batch loss=0.189504, epoch loss=2.102231
Batch=599, step=5400, lr=0.177750, batch loss=0.230939, epoch loss=2.333170
Batch=659, step=5460, lr=0.177500, batch loss=0.323649, epoch loss=2.656819
Batch=719, step=5520, lr=0.177250, batch loss=0.325804, epoch loss=2.982623
Batch=779, step=5580, lr=0.177000, batch loss=0.343247, epoch loss=3.325870
Batch=839, step=5640, lr=0.176750, batch loss=0.309295, epoch loss=3.635166
Batch=899, step=5700, lr=0.176500, batch loss=0.273237, epoch loss=3.908403
Batch=959, step=5760, lr=0.176250, batch loss=0.214798, epoch loss=4.123201
Batch=1019, step=5820, lr=0.176000, batch loss=0.339325, epoch loss=4.462526
Batch=1079, step=5880, lr=0.175750, batch loss=0.207698, epoch loss=4.670224
Batch=1139, step=5940, lr=0.175500, batch loss=0.240071, epoch loss=4.910294
Batch=1199, step=6000, lr=0.175250, batch loss=0.186880, epoch loss=5.097174
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097174
Batch=59, step=6060, lr=0.175000, batch loss=0.230486, epoch loss=0.230486
Batch=119, step=6120, lr=0.174750, batch loss=0.194335, epoch loss=0.424821
Batch=179, step=6180, lr=0.174500, batch loss=0.201549, epoch loss=0.626370
Batch=239, step=6240, lr=0.174250, batch loss=0.302362, epoch loss=0.928732
Batch=299, step=6300, lr=0.174000, batch loss=0.203974, epoch loss=1.132706
Batch=359, step=6360, lr=0.173750, batch loss=0.266075, epoch loss=1.398781
Batch=419, step=6420, lr=0.173500, batch loss=0.265320, epoch loss=1.664101
Batch=479, step=6480, lr=0.173250, batch loss=0.243288, epoch loss=1.907389
Batch=539, step=6540, lr=0.173000, batch loss=0.193011, epoch loss=2.100400
Batch=599, step=6600, lr=0.172750, batch loss=0.234458, epoch loss=2.334858
Batch=659, step=6660, lr=0.172250, batch loss=0.312130, epoch loss=2.646988
Batch=719, step=6720, lr=0.172250, batch loss=0.314191, epoch loss=2.961179
Batch=779, step=6780, lr=0.172000, batch loss=0.333285, epoch loss=3.294464
Batch=839, step=6840, lr=0.171750, batch loss=0.303720, epoch loss=3.598183
Batch=899, step=6900, lr=0.171500, batch loss=0.268530, epoch loss=3.866713
Batch=959, step=6960, lr=0.171250, batch loss=0.210927, epoch loss=4.077640
Batch=1019, step=7020, lr=0.171000, batch loss=0.330581, epoch loss=4.408222
Batch=1079, step=7080, lr=0.170750, batch loss=0.180746, epoch loss=4.588968
Batch=1139, step=7140, lr=0.170500, batch loss=0.216351, epoch loss=4.805318
Batch=1199, step=7200, lr=0.170250, batch loss=0.181953, epoch loss=4.987272
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987272
Batch=59, step=7260, lr=0.170000, batch loss=0.232774, epoch loss=0.232774
Batch=119, step=7320, lr=0.169750, batch loss=0.184517, epoch loss=0.417291
Batch=179, step=7380, lr=0.169500, batch loss=0.196313, epoch loss=0.613604
Batch=239, step=7440, lr=0.169250, batch loss=0.290811, epoch loss=0.904415
Batch=299, step=7500, lr=0.169000, batch loss=0.200880, epoch loss=1.105295
Batch=359, step=7560, lr=0.168750, batch loss=0.258391, epoch loss=1.363686
Batch=419, step=7620, lr=0.168500, batch loss=0.256847, epoch loss=1.620533
Batch=479, step=7680, lr=0.168250, batch loss=0.235969, epoch loss=1.856502
Batch=539, step=7740, lr=0.168000, batch loss=0.187936, epoch loss=2.044438
Batch=599, step=7800, lr=0.167750, batch loss=0.223887, epoch loss=2.268325
Batch=659, step=7860, lr=0.167500, batch loss=0.305939, epoch loss=2.574264
Batch=719, step=7920, lr=0.167250, batch loss=0.309260, epoch loss=2.883524
Batch=779, step=7980, lr=0.167000, batch loss=0.330050, epoch loss=3.213574
Batch=839, step=8040, lr=0.166750, batch loss=0.292359, epoch loss=3.505933
Batch=899, step=8100, lr=0.166500, batch loss=0.261857, epoch loss=3.767790
Batch=959, step=8160, lr=0.166250, batch loss=0.193150, epoch loss=3.960940
Batch=1019, step=8220, lr=0.166000, batch loss=0.301101, epoch loss=4.262040
Batch=1079, step=8280, lr=0.165750, batch loss=0.183454, epoch loss=4.445494
Batch=1139, step=8340, lr=0.165500, batch loss=0.215295, epoch loss=4.660789
Batch=1199, step=8400, lr=0.165250, batch loss=0.172434, epoch loss=4.833223
Epoch=6, step=8400, lr=0.165250, epoch loss=4.833223
Batch=59, step=8460, lr=0.165000, batch loss=0.213134, epoch loss=0.213134
Batch=119, step=8520, lr=0.164750, batch loss=0.177571, epoch loss=0.390705
Batch=179, step=8580, lr=0.164500, batch loss=0.188833, epoch loss=0.579537
Batch=239, step=8640, lr=0.164250, batch loss=0.279706, epoch loss=0.859244
Batch=299, step=8700, lr=0.164000, batch loss=0.191844, epoch loss=1.051088
Batch=359, step=8760, lr=0.163750, batch loss=0.248330, epoch loss=1.299418
Batch=419, step=8820, lr=0.163500, batch loss=0.244472, epoch loss=1.543890
Batch=479, step=8880, lr=0.163250, batch loss=0.229641, epoch loss=1.773531
Batch=539, step=8940, lr=0.163000, batch loss=0.176816, epoch loss=1.950348
Batch=599, step=9000, lr=0.162750, batch loss=0.218439, epoch loss=2.168787
Batch=659, step=9060, lr=0.162500, batch loss=0.294750, epoch loss=2.463537
Batch=719, step=9120, lr=0.162250, batch loss=0.299213, epoch loss=2.762749
Batch=779, step=9180, lr=0.162000, batch loss=0.315928, epoch loss=3.078677
Batch=839, step=9240, lr=0.161750, batch loss=0.281923, epoch loss=3.360600
Batch=899, step=9300, lr=0.161500, batch loss=0.252884, epoch loss=3.613484
Batch=959, step=9360, lr=0.161250, batch loss=0.210688, epoch loss=3.824172
Batch=1019, step=9420, lr=0.161000, batch loss=0.298251, epoch loss=4.122422
Batch=1079, step=9480, lr=0.160750, batch loss=0.177930, epoch loss=4.300352
Batch=1139, step=9540, lr=0.160500, batch loss=0.205975, epoch loss=4.506327
Batch=1199, step=9600, lr=0.160250, batch loss=0.164501, epoch loss=4.670828
Epoch=7, step=9600, lr=0.160250, epoch loss=4.670828
Batch=59, step=9660, lr=0.160000, batch loss=0.191403, epoch loss=0.191403
Batch=119, step=9720, lr=0.159750, batch loss=0.162887, epoch loss=0.354290
Batch=179, step=9780, lr=0.159500, batch loss=0.178842, epoch loss=0.533133
Batch=239, step=9840, lr=0.159250, batch loss=0.261192, epoch loss=0.794325
Batch=299, step=9900, lr=0.159000, batch loss=0.183764, epoch loss=0.978089
Batch=359, step=9960, lr=0.158750, batch loss=0.245329, epoch loss=1.223418
Batch=419, step=10020, lr=0.158500, batch loss=0.243626, epoch loss=1.467044
Batch=479, step=10080, lr=0.158250, batch loss=0.222574, epoch loss=1.689617
Batch=539, step=10140, lr=0.158000, batch loss=0.164649, epoch loss=1.854266
Batch=599, step=10200, lr=0.157750, batch loss=0.197236, epoch loss=2.051502
Batch=659, step=10260, lr=0.157500, batch loss=0.282826, epoch loss=2.334328
Batch=719, step=10320, lr=0.157250, batch loss=0.278953, epoch loss=2.613281
Batch=779, step=10380, lr=0.157000, batch loss=0.295782, epoch loss=2.909063
Batch=839, step=10440, lr=0.156750, batch loss=0.269810, epoch loss=3.178872
Batch=899, step=10500, lr=0.156500, batch loss=0.237328, epoch loss=3.416201
Batch=959, step=10560, lr=0.156250, batch loss=0.176184, epoch loss=3.592384
Batch=1019, step=10620, lr=0.156000, batch loss=0.298944, epoch loss=3.891328
Batch=1079, step=10680, lr=0.155750, batch loss=0.178949, epoch loss=4.070277
Batch=1139, step=10740, lr=0.155500, batch loss=0.200721, epoch loss=4.270998
Batch=1199, step=10800, lr=0.155250, batch loss=0.155417, epoch loss=4.426415
Epoch=8, step=10800, lr=0.155250, epoch loss=4.426415
Batch=59, step=10860, lr=0.154750, batch loss=0.177294, epoch loss=0.177294
Batch=119, step=10920, lr=0.154750, batch loss=0.153020, epoch loss=0.330315
Batch=179, step=10980, lr=0.154500, batch loss=0.166330, epoch loss=0.496645
Batch=239, step=11040, lr=0.154250, batch loss=0.245511, epoch loss=0.742156
Batch=299, step=11100, lr=0.153750, batch loss=0.161938, epoch loss=0.904094
Batch=359, step=11160, lr=0.153500, batch loss=0.223760, epoch loss=1.127854
Batch=419, step=11220, lr=0.153500, batch loss=0.234731, epoch loss=1.362585
Batch=479, step=11280, lr=0.153250, batch loss=0.197906, epoch loss=1.560490
Batch=539, step=11340, lr=0.152750, batch loss=0.158765, epoch loss=1.719256
Batch=599, step=11400, lr=0.152500, batch loss=0.184916, epoch loss=1.904172
Batch=659, step=11460, lr=0.152250, batch loss=0.260560, epoch loss=2.164732
Batch=719, step=11520, lr=0.152000, batch loss=0.259346, epoch loss=2.424078
Batch=779, step=11580, lr=0.152000, batch loss=0.268538, epoch loss=2.692616
Batch=839, step=11640, lr=0.151750, batch loss=0.250539, epoch loss=2.943155
Batch=899, step=11700, lr=0.151250, batch loss=0.215894, epoch loss=3.159049
Batch=959, step=11760, lr=0.151250, batch loss=0.162097, epoch loss=3.321146
Batch=1019, step=11820, lr=0.151000, batch loss=0.259274, epoch loss=3.580420
Batch=1079, step=11880, lr=0.150750, batch loss=0.148171, epoch loss=3.728591
Batch=1139, step=11940, lr=0.150500, batch loss=0.187904, epoch loss=3.916495
Batch=1199, step=12000, lr=0.150250, batch loss=0.138984, epoch loss=4.055480
Epoch=9, step=12000, lr=0.150250, epoch loss=4.055480
Batch=59, step=12060, lr=0.150000, batch loss=0.158406, epoch loss=0.158406
Batch=119, step=12120, lr=0.149750, batch loss=0.126674, epoch loss=0.285080
Batch=179, step=12180, lr=0.149500, batch loss=0.150896, epoch loss=0.435976
Batch=239, step=12240, lr=0.149250, batch loss=0.219170, epoch loss=0.655147
Batch=299, step=12300, lr=0.149000, batch loss=0.137481, epoch loss=0.792627
Batch=359, step=12360, lr=0.148750, batch loss=0.189596, epoch loss=0.982224
Batch=419, step=12420, lr=0.148500, batch loss=0.189043, epoch loss=1.171267
Batch=479, step=12480, lr=0.148250, batch loss=0.174048, epoch loss=1.345316
Batch=539, step=12540, lr=0.147750, batch loss=0.143819, epoch loss=1.489135
Batch=599, step=12600, lr=0.147750, batch loss=0.153258, epoch loss=1.642393
Batch=659, step=12660, lr=0.147500, batch loss=0.233885, epoch loss=1.876278
Batch=719, step=12720, lr=0.147250, batch loss=0.234302, epoch loss=2.110581
Batch=779, step=12780, lr=0.147000, batch loss=0.262115, epoch loss=2.372696
Batch=839, step=12840, lr=0.146750, batch loss=0.230232, epoch loss=2.602928
Batch=899, step=12900, lr=0.146500, batch loss=0.199611, epoch loss=2.802538
Batch=959, step=12960, lr=0.146250, batch loss=0.152902, epoch loss=2.955440
Batch=1019, step=13020, lr=0.146000, batch loss=0.263086, epoch loss=3.218526
Batch=1079, step=13080, lr=0.145750, batch loss=0.115358, epoch loss=3.333884
Batch=1139, step=13140, lr=0.145500, batch loss=0.151236, epoch loss=3.485121
Batch=1199, step=13200, lr=0.145250, batch loss=0.116396, epoch loss=3.601517
Epoch=10, step=13200, lr=0.145250, epoch loss=3.601517
Batch=59, step=13260, lr=0.144750, batch loss=0.136768, epoch loss=0.136768
Batch=119, step=13320, lr=0.144750, batch loss=0.118222, epoch loss=0.254990
Batch=179, step=13380, lr=0.144250, batch loss=0.125920, epoch loss=0.380910
Batch=239, step=13440, lr=0.144000, batch loss=0.182101, epoch loss=0.563010
Batch=299, step=13500, lr=0.144000, batch loss=0.118588, epoch loss=0.681598
Batch=359, step=13560, lr=0.143750, batch loss=0.161287, epoch loss=0.842885
Batch=419, step=13620, lr=0.143500, batch loss=0.159234, epoch loss=1.002118
Batch=479, step=13680, lr=0.143000, batch loss=0.148160, epoch loss=1.150279
Batch=539, step=13740, lr=0.143000, batch loss=0.117655, epoch loss=1.267933
Batch=599, step=13800, lr=0.142750, batch loss=0.120180, epoch loss=1.388113
Batch=659, step=13860, lr=0.142500, batch loss=0.178619, epoch loss=1.566732
Batch=719, step=13920, lr=0.142250, batch loss=0.195519, epoch loss=1.762252
Batch=779, step=13980, lr=0.142000, batch loss=0.232225, epoch loss=1.994477
Batch=839, step=14040, lr=0.141750, batch loss=0.197114, epoch loss=2.191591
Batch=899, step=14100, lr=0.141500, batch loss=0.207695, epoch loss=2.399286
Batch=959, step=14160, lr=0.141250, batch loss=0.106134, epoch loss=2.505421
Batch=1019, step=14220, lr=0.141000, batch loss=0.192135, epoch loss=2.697555
Batch=1079, step=14280, lr=0.140750, batch loss=0.076367, epoch loss=2.773922
Batch=1139, step=14340, lr=0.140500, batch loss=0.114626, epoch loss=2.888548
Batch=1199, step=14400, lr=0.140250, batch loss=0.084240, epoch loss=2.972788
Epoch=11, step=14400, lr=0.140250, epoch loss=2.972788
Batch=59, step=14460, lr=0.140000, batch loss=0.109005, epoch loss=0.109005
Batch=119, step=14520, lr=0.139750, batch loss=0.111797, epoch loss=0.220802
Batch=179, step=14580, lr=0.139500, batch loss=0.102408, epoch loss=0.323210
Batch=239, step=14640, lr=0.139250, batch loss=0.139956, epoch loss=0.463166
Batch=299, step=14700, lr=0.139000, batch loss=0.076667, epoch loss=0.539833
Batch=359, step=14760, lr=0.138750, batch loss=0.118568, epoch loss=0.658401
Batch=419, step=14820, lr=0.138500, batch loss=0.131487, epoch loss=0.789888
Batch=479, step=14880, lr=0.138250, batch loss=0.098615, epoch loss=0.888503
Batch=539, step=14940, lr=0.138000, batch loss=0.097421, epoch loss=0.985924
Batch=599, step=15000, lr=0.137750, batch loss=0.082983, epoch loss=1.068907
Batch=659, step=15060, lr=0.137500, batch loss=0.134718, epoch loss=1.203625
Batch=719, step=15120, lr=0.137250, batch loss=0.169940, epoch loss=1.373565
Batch=779, step=15180, lr=0.137000, batch loss=0.330428, epoch loss=1.703993
Batch=839, step=15240, lr=0.136750, batch loss=0.133496, epoch loss=1.837489
Batch=899, step=15300, lr=0.136500, batch loss=0.109446, epoch loss=1.946935
Batch=959, step=15360, lr=0.136250, batch loss=0.101856, epoch loss=2.048791
Batch=1019, step=15420, lr=0.136000, batch loss=0.170348, epoch loss=2.219139
Batch=1079, step=15480, lr=0.135750, batch loss=0.042422, epoch loss=2.261561
Batch=1139, step=15540, lr=0.135500, batch loss=0.092538, epoch loss=2.354099
Batch=1199, step=15600, lr=0.135250, batch loss=0.057828, epoch loss=2.411928
Epoch=12, step=15600, lr=0.135250, epoch loss=2.411928
Batch=59, step=15660, lr=0.135000, batch loss=0.079403, epoch loss=0.079403
Batch=119, step=15720, lr=0.134750, batch loss=0.118663, epoch loss=0.198067
Batch=179, step=15780, lr=0.134500, batch loss=0.092635, epoch loss=0.290702
Batch=239, step=15840, lr=0.134250, batch loss=0.094933, epoch loss=0.385635
Batch=299, step=15900, lr=0.134000, batch loss=0.039161, epoch loss=0.424796
Batch=359, step=15960, lr=0.133500, batch loss=0.084345, epoch loss=0.509140
Batch=419, step=16020, lr=0.133500, batch loss=0.077377, epoch loss=0.586517
Batch=479, step=16080, lr=0.133250, batch loss=0.053596, epoch loss=0.640113
Batch=539, step=16140, lr=0.133000, batch loss=0.074509, epoch loss=0.714622
Batch=599, step=16200, lr=0.132500, batch loss=0.175946, epoch loss=0.890568
Batch=659, step=16260, lr=0.132250, batch loss=0.098807, epoch loss=0.989375
Batch=719, step=16320, lr=0.132250, batch loss=0.118752, epoch loss=1.108127
Batch=779, step=16380, lr=0.132000, batch loss=0.262350, epoch loss=1.370477
Batch=839, step=16440, lr=0.131750, batch loss=0.089263, epoch loss=1.459740
Batch=899, step=16500, lr=0.131250, batch loss=0.074194, epoch loss=1.533934
Batch=959, step=16560, lr=0.131250, batch loss=0.035226, epoch loss=1.569160
Batch=1019, step=16620, lr=0.130750, batch loss=0.082857, epoch loss=1.652017
Batch=1079, step=16680, lr=0.130500, batch loss=0.036325, epoch loss=1.688342
Batch=1139, step=16740, lr=0.130250, batch loss=0.079925, epoch loss=1.768267
Batch=1199, step=16800, lr=0.130250, batch loss=0.036723, epoch loss=1.804991
Epoch=13, step=16800, lr=0.130250, epoch loss=1.804991
Batch=59, step=16860, lr=0.129750, batch loss=0.035067, epoch loss=0.035067
Batch=119, step=16920, lr=0.129500, batch loss=0.034232, epoch loss=0.069299
Batch=179, step=16980, lr=0.129500, batch loss=0.042812, epoch loss=0.112111
Batch=239, step=17040, lr=0.129250, batch loss=0.055485, epoch loss=0.167596
Batch=299, step=17100, lr=0.129000, batch loss=0.019027, epoch loss=0.186623
Batch=359, step=17160, lr=0.128750, batch loss=0.044049, epoch loss=0.230672
Batch=419, step=17220, lr=0.128500, batch loss=0.045601, epoch loss=0.276273
Batch=479, step=17280, lr=0.128250, batch loss=0.021537, epoch loss=0.297810
Batch=539, step=17340, lr=0.128000, batch loss=0.028028, epoch loss=0.325838
Batch=599, step=17400, lr=0.127500, batch loss=0.035810, epoch loss=0.361648
Batch=659, step=17460, lr=0.127250, batch loss=0.047280, epoch loss=0.408928
Batch=719, step=17520, lr=0.127250, batch loss=0.062715, epoch loss=0.471643
Batch=779, step=17580, lr=0.126750, batch loss=0.065483, epoch loss=0.537127
Batch=839, step=17640, lr=0.126750, batch loss=0.101633, epoch loss=0.638760
Batch=899, step=17700, lr=0.126250, batch loss=0.050482, epoch loss=0.689243
Batch=959, step=17760, lr=0.126250, batch loss=0.016571, epoch loss=0.705814
Batch=1019, step=17820, lr=0.126000, batch loss=0.042359, epoch loss=0.748173
Batch=1079, step=17880, lr=0.125500, batch loss=0.048433, epoch loss=0.796606
Batch=1139, step=17940, lr=0.125250, batch loss=0.101681, epoch loss=0.898287
Batch=1199, step=18000, lr=0.125000, batch loss=0.023325, epoch loss=0.921613
Epoch=14, step=18000, lr=0.125000, epoch loss=0.921613
Batch=59, step=18060, lr=0.124750, batch loss=0.018140, epoch loss=0.018140
Batch=119, step=18120, lr=0.124500, batch loss=0.020852, epoch loss=0.038993
Batch=179, step=18180, lr=0.124250, batch loss=0.030436, epoch loss=0.069429
Batch=239, step=18240, lr=0.124250, batch loss=0.039244, epoch loss=0.108673
Batch=299, step=18300, lr=0.124000, batch loss=0.008720, epoch loss=0.117393
Batch=359, step=18360, lr=0.123750, batch loss=0.025677, epoch loss=0.143070
Batch=419, step=18420, lr=0.123500, batch loss=0.029743, epoch loss=0.172813
Batch=479, step=18480, lr=0.123250, batch loss=0.020262, epoch loss=0.193074
Batch=539, step=18540, lr=0.122750, batch loss=0.040696, epoch loss=0.233770
Batch=599, step=18600, lr=0.122500, batch loss=0.027298, epoch loss=0.261069
Batch=659, step=18660, lr=0.122250, batch loss=0.031690, epoch loss=0.292759
Batch=719, step=18720, lr=0.122250, batch loss=0.039719, epoch loss=0.332478
Batch=779, step=18780, lr=0.122000, batch loss=0.106121, epoch loss=0.438599
Batch=839, step=18840, lr=0.121500, batch loss=0.049698, epoch loss=0.488296
Batch=899, step=18900, lr=0.121500, batch loss=0.049720, epoch loss=0.538016
Batch=959, step=18960, lr=0.121000, batch loss=0.013406, epoch loss=0.551422
Batch=1019, step=19020, lr=0.121000, batch loss=0.025393, epoch loss=0.576815
Batch=1079, step=19080, lr=0.120750, batch loss=0.014977, epoch loss=0.591792
Batch=1139, step=19140, lr=0.120250, batch loss=0.030173, epoch loss=0.621965
Batch=1199, step=19200, lr=0.120250, batch loss=0.011352, epoch loss=0.633317
Epoch=15, step=19200, lr=0.120250, epoch loss=0.633317
Batch=59, step=19260, lr=0.120000, batch loss=0.009493, epoch loss=0.009493
Batch=119, step=19320, lr=0.119500, batch loss=0.029692, epoch loss=0.039185
Batch=179, step=19380, lr=0.119250, batch loss=0.084163, epoch loss=0.123348
Batch=239, step=19440, lr=0.119250, batch loss=0.033769, epoch loss=0.157117
Batch=299, step=19500, lr=0.119000, batch loss=0.009002, epoch loss=0.166119
Batch=359, step=19560, lr=0.118750, batch loss=0.025690, epoch loss=0.191809
Batch=419, step=19620, lr=0.118500, batch loss=0.021311, epoch loss=0.213120
Batch=479, step=19680, lr=0.118250, batch loss=0.007577, epoch loss=0.220697
Batch=539, step=19740, lr=0.118000, batch loss=0.018447, epoch loss=0.239145
Batch=599, step=19800, lr=0.117750, batch loss=0.021862, epoch loss=0.261007
Batch=659, step=19860, lr=0.117250, batch loss=0.018093, epoch loss=0.279100
Batch=719, step=19920, lr=0.117250, batch loss=0.036942, epoch loss=0.316042
Batch=779, step=19980, lr=0.116750, batch loss=0.084750, epoch loss=0.400792
Batch=839, step=20040, lr=0.116750, batch loss=0.031380, epoch loss=0.432172
Batch=899, step=20100, lr=0.116250, batch loss=0.033573, epoch loss=0.465745
Batch=959, step=20160, lr=0.116250, batch loss=0.011026, epoch loss=0.476771
Batch=1019, step=20220, lr=0.116000, batch loss=0.014633, epoch loss=0.491403
Batch=1079, step=20280, lr=0.115500, batch loss=0.002377, epoch loss=0.493780
Batch=1139, step=20340, lr=0.115250, batch loss=0.014861, epoch loss=0.508642
Batch=1199, step=20400, lr=0.115000, batch loss=0.007013, epoch loss=0.515655
Epoch=16, step=20400, lr=0.115000, epoch loss=0.515655
Batch=59, step=20460, lr=0.114750, batch loss=0.003041, epoch loss=0.003041
Batch=119, step=20520, lr=0.114750, batch loss=0.008747, epoch loss=0.011788
Batch=179, step=20580, lr=0.114500, batch loss=0.019981, epoch loss=0.031769
Batch=239, step=20640, lr=0.114250, batch loss=0.020189, epoch loss=0.051958
Batch=299, step=20700, lr=0.114000, batch loss=0.009756, epoch loss=0.061714
Batch=359, step=20760, lr=0.113500, batch loss=0.014772, epoch loss=0.076486
Batch=419, step=20820, lr=0.113500, batch loss=0.015537, epoch loss=0.092023
Batch=479, step=20880, lr=0.113250, batch loss=0.003211, epoch loss=0.095234
Batch=539, step=20940, lr=0.113000, batch loss=0.016483, epoch loss=0.111717
Batch=599, step=21000, lr=0.112750, batch loss=0.018003, epoch loss=0.129720
Batch=659, step=21060, lr=0.112500, batch loss=0.014421, epoch loss=0.144141
Batch=719, step=21120, lr=0.112250, batch loss=0.042772, epoch loss=0.186913
Batch=779, step=21180, lr=0.112000, batch loss=0.073740, epoch loss=0.260653
Batch=839, step=21240, lr=0.111500, batch loss=0.026121, epoch loss=0.286774
Batch=899, step=21300, lr=0.111250, batch loss=0.035177, epoch loss=0.321952
Batch=959, step=21360, lr=0.111000, batch loss=0.009538, epoch loss=0.331490
Batch=1019, step=21420, lr=0.110750, batch loss=0.011509, epoch loss=0.342999
Batch=1079, step=21480, lr=0.110500, batch loss=0.000726, epoch loss=0.343725
Batch=1139, step=21540, lr=0.110500, batch loss=0.011753, epoch loss=0.355478
Batch=1199, step=21600, lr=0.110250, batch loss=0.005026, epoch loss=0.360505
Epoch=17, step=21600, lr=0.110250, epoch loss=0.360505
Batch=59, step=21660, lr=0.110000, batch loss=0.001891, epoch loss=0.001891
Batch=119, step=21720, lr=0.109750, batch loss=0.006581, epoch loss=0.008472
Batch=179, step=21780, lr=0.109500, batch loss=0.013576, epoch loss=0.022048
Batch=239, step=21840, lr=0.109000, batch loss=0.014999, epoch loss=0.037047
Batch=299, step=21900, lr=0.108750, batch loss=0.003466, epoch loss=0.040513
Batch=359, step=21960, lr=0.108500, batch loss=0.010450, epoch loss=0.050962
Batch=419, step=22020, lr=0.108500, batch loss=0.011002, epoch loss=0.061964
Batch=479, step=22080, lr=0.108250, batch loss=0.002591, epoch loss=0.064556
Batch=539, step=22140, lr=0.107750, batch loss=0.017928, epoch loss=0.082483
Batch=599, step=22200, lr=0.107750, batch loss=0.016777, epoch loss=0.099260
Batch=659, step=22260, lr=0.107250, batch loss=0.014907, epoch loss=0.114167
Batch=719, step=22320, lr=0.107000, batch loss=0.026456, epoch loss=0.140623
Batch=779, step=22380, lr=0.106750, batch loss=0.034710, epoch loss=0.175333
Batch=839, step=22440, lr=0.106500, batch loss=0.025909, epoch loss=0.201242
Batch=899, step=22500, lr=0.106500, batch loss=0.026458, epoch loss=0.227700
Batch=959, step=22560, lr=0.106250, batch loss=0.009024, epoch loss=0.236724
Batch=1019, step=22620, lr=0.106000, batch loss=0.008737, epoch loss=0.245462
Batch=1079, step=22680, lr=0.105500, batch loss=0.000866, epoch loss=0.246328
Batch=1139, step=22740, lr=0.105250, batch loss=0.010282, epoch loss=0.256609
Batch=1199, step=22800, lr=0.105000, batch loss=0.004723, epoch loss=0.261332
Epoch=18, step=22800, lr=0.105000, epoch loss=0.261332
Batch=59, step=22860, lr=0.104750, batch loss=0.001710, epoch loss=0.001710
Batch=119, step=22920, lr=0.104750, batch loss=0.005532, epoch loss=0.007242
Batch=179, step=22980, lr=0.104500, batch loss=0.010182, epoch loss=0.017424
Batch=239, step=23040, lr=0.104250, batch loss=0.008809, epoch loss=0.026233
Batch=299, step=23100, lr=0.103750, batch loss=0.007148, epoch loss=0.033382
Batch=359, step=23160, lr=0.103500, batch loss=0.011797, epoch loss=0.045178
Batch=419, step=23220, lr=0.103500, batch loss=0.010578, epoch loss=0.055757
Batch=479, step=23280, lr=0.103250, batch loss=0.002585, epoch loss=0.058342
Batch=539, step=23340, lr=0.103000, batch loss=0.017535, epoch loss=0.075877
Batch=599, step=23400, lr=0.102500, batch loss=0.013764, epoch loss=0.089641
Batch=659, step=23460, lr=0.102500, batch loss=0.010224, epoch loss=0.099865
Batch=719, step=23520, lr=0.102250, batch loss=0.014257, epoch loss=0.114123
Batch=779, step=23580, lr=0.102000, batch loss=0.021915, epoch loss=0.136038
Batch=839, step=23640, lr=0.101750, batch loss=0.027537, epoch loss=0.163575
Batch=899, step=23700, lr=0.101500, batch loss=0.021542, epoch loss=0.185116
Batch=959, step=23760, lr=0.101250, batch loss=0.010188, epoch loss=0.195304
Batch=1019, step=23820, lr=0.101000, batch loss=0.008168, epoch loss=0.203472
Batch=1079, step=23880, lr=0.100750, batch loss=0.000770, epoch loss=0.204243
Batch=1139, step=23940, lr=0.100500, batch loss=0.009448, epoch loss=0.213691
Batch=1199, step=24000, lr=0.100250, batch loss=0.004577, epoch loss=0.218268
Epoch=19, step=24000, lr=0.100250, epoch loss=0.218268


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-10 12:35.43 ---> saved as "88aa62fb8fa9b2bc50057d8b5d5242fa1c1745614cf1aeaf0e9e34f3f0288c1c"
Job succeeded
2025-05-10 12:35.44: Job succeeded