debian-11-5.3_opam-2.3

2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (linux-x86_64:debian-11-5.3_opam-2.3)
Base: ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard f6ea3750
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c
# debian-11-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


END-OF-DOCKERFILE
docker build .
END-REPRO-BLOCK


2025-03-21 15:22.29: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c-debian-11-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-21 15:22.29: Using OBuilder spec:
((from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c)
(comment debian-11-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-21 15:22.29: Waiting for resource in pool OCluster
2025-03-21 15:22.29: Waiting for worker…
2025-03-21 15:23.36: Got resource from pool OCluster
Building on phoebe.caelum.ci.dev
All commits already cached
HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN)


(from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c)
2025-03-21 15:24.23 ---> saved as "b4f3e3a5063982bbc841035e188663009352cabdae6127a84a77b2b1e7746a9c"


/: (comment debian-11-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-21 15:24.24 ---> saved as "837909cf357dbef762753eebac80775e6de312510185f4ca5a6cecd3ae4cd0bf"


/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
[NOTE] The 'jobs' option was reset, its value was 31 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using:
opam option jobs=31 --global
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-21 15:26.18 ---> saved as "126754616a0883edf73855301c586b0218900498f80d24bfe653bbe0af0fda41"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-03-21 15:26.19 ---> saved as "f1a850b0d0b34fa431f0064c7e811f48129c9a3c72bcf8cfd6026d2ea544afa4"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 15:26.19 ---> saved as "2ee37b392ed39ae65bd872720b58ef9daa42c6c50406b47cee7e065de030dfee"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
862a7640b1..acfb0e6e94  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive
[default] synchronised from file:///home/opam/opam-repository


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 15:28.01 ---> saved as "43eed9b2620af14dda9b17d57d927cf8f18cd27565b6b6e5db1da1dd96506c0c"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 15:28.03 ---> saved as "ca85100046af1e50532c2ca4856e0a98d658d0e0cf42bca9e269b56b67b3760a"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-21 15:28.11 ---> saved as "b4d20779886cc71bdc29ec05383e522e1d56dc9ed4bfbb528d4505bc9dae75aa"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 15:28.12 ---> saved as "982883279bbcd56d744d11a295c330d66a69f7e69854a69db155d33f41682f48"


/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 "apt-get" "update"
- Hit:1 http://deb.debian.org/debian bullseye InRelease
- Get:2 http://deb.debian.org/debian-security bullseye-security InRelease [27.2 kB]
- Get:3 http://deb.debian.org/debian bullseye-updates InRelease [44.1 kB]
- Get:4 http://deb.debian.org/debian-security bullseye-security/main amd64 Packages [351 kB]
- Fetched 422 kB in 2s (269 kB/s)
- Reading package lists...
- 


<><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><>
[arrayjit.dev] synchronised (file:///src)
[neural_nets_lib.dev] synchronised (file:///src)


[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).


The following system packages will first need to be installed:
libffi-dev pkg-config


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


+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libffi-dev:amd64.
- (Reading database ... 
(Reading database ... 5%
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(Reading database ... 18364 files and directories currently installed.)
- Preparing to unpack .../0-libffi-dev_3.3-6_amd64.deb ...
- Unpacking libffi-dev:amd64 (3.3-6) ...
- Selecting previously unselected package libglib2.0-0:amd64.
- Preparing to unpack .../1-libglib2.0-0_2.66.8-1+deb11u5_amd64.deb ...
- Unpacking libglib2.0-0:amd64 (2.66.8-1+deb11u5) ...
- Selecting previously unselected package libglib2.0-data.
- Preparing to unpack .../2-libglib2.0-data_2.66.8-1+deb11u5_all.deb ...
- Unpacking libglib2.0-data (2.66.8-1+deb11u5) ...
- Selecting previously unselected package libicu67:amd64.
- Preparing to unpack .../3-libicu67_67.1-7_amd64.deb ...
- Unpacking libicu67:amd64 (67.1-7) ...
- Selecting previously unselected package libxml2:amd64.
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- Unpacking libxml2:amd64 (2.9.10+dfsg-6.7+deb11u6) ...
- Selecting previously unselected package pkg-config.
- Preparing to unpack .../5-pkg-config_0.29.2-1_amd64.deb ...
- Unpacking pkg-config (0.29.2-1) ...
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- Preparing to unpack .../7-xdg-user-dirs_0.17-2_amd64.deb ...
- Unpacking xdg-user-dirs (0.17-2) ...
- Setting up libicu67:amd64 (67.1-7) ...
- Setting up xdg-user-dirs (0.17-2) ...
- Setting up libglib2.0-0:amd64 (2.66.8-1+deb11u5) ...
- No schema files found: doing nothing.
- Setting up libffi-dev:amd64 (3.3-6) ...
- Setting up libglib2.0-data (2.66.8-1+deb11u5) ...
- Setting up pkg-config (0.29.2-1) ...
- Setting up libxml2:amd64 (2.9.10+dfsg-6.7+deb11u6) ...
- Setting up shared-mime-info (2.0-1) ...
- Processing triggers for libc-bin (2.31-13+deb11u11) ...
2025-03-21 15:29.07 ---> saved as "82c76151faf9ece368b0c5d5e078fb86b2e2adef0f4f6af7107a2d3e1614702b"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 65 packages
- install angstrom                0.16.1
- install backoff                 0.1.1
- install base                    v0.17.1
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install conf-libffi             2.0.0
- install conf-pkg-config         4
- install cppo                    1.8.0
- install csexp                   1.5.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.17.2
- install dune-configurator       3.17.2
- install fieldslib               v0.17.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install mtime                   2.1.0
- install multicore-magic         2.3.1
- install num                     1.5-1
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.1.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed ocaml-syntax-shims.1.0.0
-> installed re.1.12.0
-> installed integers.0.7.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed saturn_lockfree.0.5.0
-> installed cppo.1.8.0
-> installed dune-configurator.3.17.2
-> installed parsexp.v0.17.0
-> installed bigstringaf.0.10.0
-> installed angstrom.0.16.1
-> installed sexplib.v0.17.0
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed ctypes-foreign.0.23.0
-> 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 ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_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)
2025-03-21 15:33.39 ---> saved as "39cbaa7b5803dc3a7980c5e931437b8332532397d7cfd69b50234e8fb09894c4"


/src: (copy (src .) (dst /src))
2025-03-21 15:33.42 ---> saved as "488d4a0d71fac3064fde746c6f85726e89450962a62f2da26b9703a53039258d"


/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/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/fb173e2db6e2f5f1293a4535ddf0304c/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/1d1b787dbef16cbb6c3291791988ffa8/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/1d1b787dbef16cbb6c3291791988ffa8/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819
Batch=239, step=240, lr=0.199250, batch loss=0.855278, epoch loss=35.626096
Batch=299, step=300, lr=0.199000, batch loss=1.437143, epoch loss=37.063240
Batch=359, step=360, lr=0.198750, batch loss=1.338851, epoch loss=38.402091
Batch=419, step=420, lr=0.198500, batch loss=0.611321, epoch loss=39.013412
Batch=479, step=480, lr=0.198250, batch loss=0.745907, epoch loss=39.759319
Batch=539, step=540, lr=0.197750, batch loss=0.690502, epoch loss=40.449821
Batch=599, step=600, lr=0.197750, batch loss=1.100005, epoch loss=41.549826
Batch=659, step=660, lr=0.197250, batch loss=0.482082, epoch loss=42.031908
Batch=719, step=720, lr=0.197250, batch loss=0.410689, epoch loss=42.442597
Batch=779, step=780, lr=0.196750, batch loss=0.468841, epoch loss=42.911438
Batch=839, step=840, lr=0.196750, batch loss=0.450591, epoch loss=43.362029
Batch=899, step=900, lr=0.196250, batch loss=0.383706, epoch loss=43.745734
Batch=959, step=960, lr=0.196250, batch loss=0.267160, epoch loss=44.012894
Batch=1019, step=1020, lr=0.196000, batch loss=0.488853, epoch loss=44.501747
Batch=1079, step=1080, lr=0.195750, batch loss=0.263890, epoch loss=44.765637
Batch=1139, step=1140, lr=0.195250, batch loss=0.331865, epoch loss=45.097502
Batch=1199, step=1200, lr=0.195000, batch loss=0.264869, epoch loss=45.362371
Epoch=0, step=1200, lr=0.195000, epoch loss=45.362371
Batch=59, step=1260, lr=0.194750, batch loss=0.263115, epoch loss=0.263115
Batch=119, step=1320, lr=0.194500, batch loss=0.203727, epoch loss=0.466842
Batch=179, step=1380, lr=0.194500, batch loss=0.247184, epoch loss=0.714026
Batch=239, step=1440, lr=0.194250, batch loss=0.350154, epoch loss=1.064180
Batch=299, step=1500, lr=0.194000, batch loss=0.239006, epoch loss=1.303186
Batch=359, step=1560, lr=0.193500, batch loss=0.317255, epoch loss=1.620441
Batch=419, step=1620, lr=0.193500, batch loss=0.313325, epoch loss=1.933766
Batch=479, step=1680, lr=0.193250, batch loss=0.276231, epoch loss=2.209997
Batch=539, step=1740, lr=0.193000, batch loss=0.210290, epoch loss=2.420287
Batch=599, step=1800, lr=0.192500, batch loss=0.244968, epoch loss=2.665256
Batch=659, step=1860, lr=0.192500, batch loss=0.358457, epoch loss=3.023713
Batch=719, step=1920, lr=0.192000, batch loss=0.354728, epoch loss=3.378441
Batch=779, step=1980, lr=0.191750, batch loss=0.377810, epoch loss=3.756251
Batch=839, step=2040, lr=0.191750, batch loss=0.341201, epoch loss=4.097452
Batch=899, step=2100, lr=0.191500, batch loss=0.295917, epoch loss=4.393369
Batch=959, step=2160, lr=0.191000, batch loss=0.215276, epoch loss=4.608645
Batch=1019, step=2220, lr=0.191000, batch loss=0.328053, epoch loss=4.936698
Batch=1079, step=2280, lr=0.190750, batch loss=0.195753, epoch loss=5.132451
Batch=1139, step=2340, lr=0.190250, batch loss=0.256794, epoch loss=5.389245
Batch=1199, step=2400, lr=0.190250, batch loss=0.212117, epoch loss=5.601362
Epoch=1, step=2400, lr=0.190250, epoch loss=5.601362
Batch=59, step=2460, lr=0.190000, batch loss=0.230557, epoch loss=0.230557
Batch=119, step=2520, lr=0.189750, batch loss=0.199179, epoch loss=0.429736
Batch=179, step=2580, lr=0.189250, batch loss=0.219554, epoch loss=0.649289
Batch=239, step=2640, lr=0.189000, batch loss=0.328325, epoch loss=0.977614
Batch=299, step=2700, lr=0.189000, batch loss=0.215447, epoch loss=1.193061
Batch=359, step=2760, lr=0.188750, batch loss=0.295179, epoch loss=1.488239
Batch=419, step=2820, lr=0.188250, batch loss=0.286808, epoch loss=1.775047
Batch=479, step=2880, lr=0.188000, batch loss=0.262095, epoch loss=2.037143
Batch=539, step=2940, lr=0.188000, batch loss=0.204589, epoch loss=2.241731
Batch=599, step=3000, lr=0.187750, batch loss=0.251896, epoch loss=2.493627
Batch=659, step=3060, lr=0.187500, batch loss=0.348496, epoch loss=2.842123
Batch=719, step=3120, lr=0.187250, batch loss=0.347848, epoch loss=3.189972
Batch=779, step=3180, lr=0.186750, batch loss=0.365466, epoch loss=3.555438
Batch=839, step=3240, lr=0.186750, batch loss=0.325446, epoch loss=3.880884
Batch=899, step=3300, lr=0.186500, batch loss=0.290486, epoch loss=4.171370
Batch=959, step=3360, lr=0.186250, batch loss=0.223491, epoch loss=4.394861
Batch=1019, step=3420, lr=0.186000, batch loss=0.349402, epoch loss=4.744263
Batch=1079, step=3480, lr=0.185750, batch loss=0.222013, epoch loss=4.966276
Batch=1139, step=3540, lr=0.185500, batch loss=0.264931, epoch loss=5.231208
Batch=1199, step=3600, lr=0.185250, batch loss=0.200845, epoch loss=5.432053
Epoch=2, step=3600, lr=0.185250, epoch loss=5.432053
Batch=59, step=3660, lr=0.185000, batch loss=0.227293, epoch loss=0.227293
Batch=119, step=3720, lr=0.184750, batch loss=0.189011, epoch loss=0.416304
Batch=179, step=3780, lr=0.184500, batch loss=0.213558, epoch loss=0.629861
Batch=239, step=3840, lr=0.184250, batch loss=0.317675, epoch loss=0.947536
Batch=299, step=3900, lr=0.184000, batch loss=0.204491, epoch loss=1.152027
Batch=359, step=3960, lr=0.183750, batch loss=0.290054, epoch loss=1.442081
Batch=419, step=4020, lr=0.183500, batch loss=0.274552, epoch loss=1.716633
Batch=479, step=4080, lr=0.183250, batch loss=0.258555, epoch loss=1.975188
Batch=539, step=4140, lr=0.183000, batch loss=0.196577, epoch loss=2.171765
Batch=599, step=4200, lr=0.182750, batch loss=0.240287, epoch loss=2.412052
Batch=659, step=4260, lr=0.182500, batch loss=0.330727, epoch loss=2.742779
Batch=719, step=4320, lr=0.182250, batch loss=0.330380, epoch loss=3.073159
Batch=779, step=4380, lr=0.182000, batch loss=0.352044, epoch loss=3.425203
Batch=839, step=4440, lr=0.181750, batch loss=0.320860, epoch loss=3.746063
Batch=899, step=4500, lr=0.181500, batch loss=0.292394, epoch loss=4.038457
Batch=959, step=4560, lr=0.181250, batch loss=0.244782, epoch loss=4.283239
Batch=1019, step=4620, lr=0.181000, batch loss=0.358087, epoch loss=4.641326
Batch=1079, step=4680, lr=0.180750, batch loss=0.204325, epoch loss=4.845650
Batch=1139, step=4740, lr=0.180500, batch loss=0.242790, epoch loss=5.088440
Batch=1199, step=4800, lr=0.180250, batch loss=0.192970, epoch loss=5.281410
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281410
Batch=59, step=4860, lr=0.180000, batch loss=0.230336, epoch loss=0.230336
Batch=119, step=4920, lr=0.179750, batch loss=0.189154, epoch loss=0.419490
Batch=179, step=4980, lr=0.179500, batch loss=0.206938, epoch loss=0.626428
Batch=239, step=5040, lr=0.179250, batch loss=0.310317, epoch loss=0.936744
Batch=299, step=5100, lr=0.179000, batch loss=0.213655, epoch loss=1.150400
Batch=359, step=5160, lr=0.178750, batch loss=0.278299, epoch loss=1.428699
Batch=419, step=5220, lr=0.178500, batch loss=0.279502, epoch loss=1.708201
Batch=479, step=5280, lr=0.178250, batch loss=0.250746, epoch loss=1.958947
Batch=539, step=5340, lr=0.178000, batch loss=0.196532, epoch loss=2.155478
Batch=599, step=5400, lr=0.177750, batch loss=0.241375, epoch loss=2.396854
Batch=659, step=5460, lr=0.177500, batch loss=0.319571, epoch loss=2.716425
Batch=719, step=5520, lr=0.177250, batch loss=0.321407, epoch loss=3.037832
Batch=779, step=5580, lr=0.177000, batch loss=0.344972, epoch loss=3.382804
Batch=839, step=5640, lr=0.176750, batch loss=0.309902, epoch loss=3.692706
Batch=899, step=5700, lr=0.176500, batch loss=0.273053, epoch loss=3.965759
Batch=959, step=5760, lr=0.176250, batch loss=0.214464, epoch loss=4.180223
Batch=1019, step=5820, lr=0.176000, batch loss=0.338537, epoch loss=4.518760
Batch=1079, step=5880, lr=0.175750, batch loss=0.203420, epoch loss=4.722180
Batch=1139, step=5940, lr=0.175500, batch loss=0.241437, epoch loss=4.963617
Batch=1199, step=6000, lr=0.175250, batch loss=0.188533, epoch loss=5.152150
Epoch=4, step=6000, lr=0.175250, epoch loss=5.152150
Batch=59, step=6060, lr=0.175000, batch loss=0.232309, epoch loss=0.232309
Batch=119, step=6120, lr=0.174750, batch loss=0.186707, epoch loss=0.419016
Batch=179, step=6180, lr=0.174500, batch loss=0.202787, epoch loss=0.621803
Batch=239, step=6240, lr=0.174250, batch loss=0.300979, epoch loss=0.922783
Batch=299, step=6300, lr=0.174000, batch loss=0.197604, epoch loss=1.120387
Batch=359, step=6360, lr=0.173750, batch loss=0.265023, epoch loss=1.385410
Batch=419, step=6420, lr=0.173500, batch loss=0.259554, epoch loss=1.644965
Batch=479, step=6480, lr=0.173250, batch loss=0.235206, epoch loss=1.880170
Batch=539, step=6540, lr=0.173000, batch loss=0.185976, epoch loss=2.066146
Batch=599, step=6600, lr=0.172750, batch loss=0.229910, epoch loss=2.296056
Batch=659, step=6660, lr=0.172500, batch loss=0.316650, epoch loss=2.612707
Batch=719, step=6720, lr=0.172250, batch loss=0.316280, epoch loss=2.928987
Batch=779, step=6780, lr=0.172000, batch loss=0.332449, epoch loss=3.261436
Batch=839, step=6840, lr=0.171750, batch loss=0.305513, epoch loss=3.566949
Batch=899, step=6900, lr=0.171500, batch loss=0.266653, epoch loss=3.833602
Batch=959, step=6960, lr=0.171250, batch loss=0.213415, epoch loss=4.047017
Batch=1019, step=7020, lr=0.171000, batch loss=0.322766, epoch loss=4.369783
Batch=1079, step=7080, lr=0.170750, batch loss=0.178559, epoch loss=4.548342
Batch=1139, step=7140, lr=0.170500, batch loss=0.214931, epoch loss=4.763273
Batch=1199, step=7200, lr=0.170000, batch loss=0.184814, epoch loss=4.948086
Epoch=5, step=7200, lr=0.170000, epoch loss=4.948086
Batch=59, step=7260, lr=0.170000, batch loss=0.237717, epoch loss=0.237717
Batch=119, step=7320, lr=0.169750, batch loss=0.182098, epoch loss=0.419815
Batch=179, step=7380, lr=0.169500, batch loss=0.195977, epoch loss=0.615792
Batch=239, step=7440, lr=0.169250, batch loss=0.296014, epoch loss=0.911806
Batch=299, step=7500, lr=0.168750, batch loss=0.201912, epoch loss=1.113718
Batch=359, step=7560, lr=0.168750, batch loss=0.259185, epoch loss=1.372904
Batch=419, step=7620, lr=0.168250, batch loss=0.259385, epoch loss=1.632288
Batch=479, step=7680, lr=0.168000, batch loss=0.236263, epoch loss=1.868551
Batch=539, step=7740, lr=0.167750, batch loss=0.190064, epoch loss=2.058615
Batch=599, step=7800, lr=0.167750, batch loss=0.227371, epoch loss=2.285986
Batch=659, step=7860, lr=0.167250, batch loss=0.306293, epoch loss=2.592279
Batch=719, step=7920, lr=0.167000, batch loss=0.310827, epoch loss=2.903106
Batch=779, step=7980, lr=0.166750, batch loss=0.331698, epoch loss=3.234804
Batch=839, step=8040, lr=0.166500, batch loss=0.291741, epoch loss=3.526546
Batch=899, step=8100, lr=0.166500, batch loss=0.255120, epoch loss=3.781666
Batch=959, step=8160, lr=0.166250, batch loss=0.192728, epoch loss=3.974393
Batch=1019, step=8220, lr=0.165750, batch loss=0.284135, epoch loss=4.258528
Batch=1079, step=8280, lr=0.165500, batch loss=0.169239, epoch loss=4.427767
Batch=1139, step=8340, lr=0.165250, batch loss=0.206306, epoch loss=4.634073
Batch=1199, step=8400, lr=0.165250, batch loss=0.176942, epoch loss=4.811016
Epoch=6, step=8400, lr=0.165250, epoch loss=4.811016
Batch=59, step=8460, lr=0.164750, batch loss=0.224117, epoch loss=0.224117
Batch=119, step=8520, lr=0.164500, batch loss=0.180964, epoch loss=0.405081
Batch=179, step=8580, lr=0.164250, batch loss=0.186948, epoch loss=0.592029
Batch=239, step=8640, lr=0.164000, batch loss=0.277643, epoch loss=0.869672
Batch=299, step=8700, lr=0.163750, batch loss=0.185266, epoch loss=1.054938
Batch=359, step=8760, lr=0.163750, batch loss=0.247813, epoch loss=1.302750
Batch=419, step=8820, lr=0.163250, batch loss=0.246707, epoch loss=1.549458
Batch=479, step=8880, lr=0.163000, batch loss=0.227386, epoch loss=1.776844
Batch=539, step=8940, lr=0.162750, batch loss=0.182490, epoch loss=1.959333
Batch=599, step=9000, lr=0.162500, batch loss=0.215497, epoch loss=2.174831
Batch=659, step=9060, lr=0.162250, batch loss=0.294962, epoch loss=2.469792
Batch=719, step=9120, lr=0.162000, batch loss=0.294594, epoch loss=2.764387
Batch=779, step=9180, lr=0.162000, batch loss=0.318294, epoch loss=3.082681
Batch=839, step=9240, lr=0.161500, batch loss=0.284427, epoch loss=3.367107
Batch=899, step=9300, lr=0.161250, batch loss=0.249061, epoch loss=3.616168
Batch=959, step=9360, lr=0.161000, batch loss=0.195700, epoch loss=3.811868
Batch=1019, step=9420, lr=0.160750, batch loss=0.308668, epoch loss=4.120536
Batch=1079, step=9480, lr=0.160500, batch loss=0.187080, epoch loss=4.307616
Batch=1139, step=9540, lr=0.160500, batch loss=0.214126, epoch loss=4.521742
Batch=1199, step=9600, lr=0.160250, batch loss=0.166578, epoch loss=4.688320
Epoch=7, step=9600, lr=0.160250, epoch loss=4.688320
Batch=59, step=9660, lr=0.159750, batch loss=0.211771, epoch loss=0.211771
Batch=119, step=9720, lr=0.159750, batch loss=0.172099, epoch loss=0.383870
Batch=179, step=9780, lr=0.159500, batch loss=0.179533, epoch loss=0.563404
Batch=239, step=9840, lr=0.159000, batch loss=0.261449, epoch loss=0.824852
Batch=299, step=9900, lr=0.158750, batch loss=0.185117, epoch loss=1.009969
Batch=359, step=9960, lr=0.158750, batch loss=0.242453, epoch loss=1.252422
Batch=419, step=10020, lr=0.158250, batch loss=0.232912, epoch loss=1.485335
Batch=479, step=10080, lr=0.158250, batch loss=0.214864, epoch loss=1.700198
Batch=539, step=10140, lr=0.158000, batch loss=0.170821, epoch loss=1.871020
Batch=599, step=10200, lr=0.157750, batch loss=0.202528, epoch loss=2.073547
Batch=659, step=10260, lr=0.157500, batch loss=0.282596, epoch loss=2.356143
Batch=719, step=10320, lr=0.157250, batch loss=0.287499, epoch loss=2.643643
Batch=779, step=10380, lr=0.157000, batch loss=0.296530, epoch loss=2.940173
Batch=839, step=10440, lr=0.156500, batch loss=0.267477, epoch loss=3.207650
Batch=899, step=10500, lr=0.156500, batch loss=0.244384, epoch loss=3.452034
Batch=959, step=10560, lr=0.156000, batch loss=0.200034, epoch loss=3.652068
Batch=1019, step=10620, lr=0.155750, batch loss=0.292722, epoch loss=3.944790
Batch=1079, step=10680, lr=0.155750, batch loss=0.183931, epoch loss=4.128721
Batch=1139, step=10740, lr=0.155250, batch loss=0.204648, epoch loss=4.333369
Batch=1199, step=10800, lr=0.155000, batch loss=0.154952, epoch loss=4.488322
Epoch=8, step=10800, lr=0.155000, epoch loss=4.488322
Batch=59, step=10860, lr=0.154750, batch loss=0.177235, epoch loss=0.177235
Batch=119, step=10920, lr=0.154500, batch loss=0.152102, epoch loss=0.329338
Batch=179, step=10980, lr=0.154250, batch loss=0.167019, epoch loss=0.496357
Batch=239, step=11040, lr=0.154000, batch loss=0.247588, epoch loss=0.743945
Batch=299, step=11100, lr=0.153750, batch loss=0.158786, epoch loss=0.902731
Batch=359, step=11160, lr=0.153500, batch loss=0.213964, epoch loss=1.116695
Batch=419, step=11220, lr=0.153250, batch loss=0.206480, epoch loss=1.323175
Batch=479, step=11280, lr=0.153000, batch loss=0.184455, epoch loss=1.507631
Batch=539, step=11340, lr=0.152750, batch loss=0.152464, epoch loss=1.660095
Batch=599, step=11400, lr=0.152500, batch loss=0.179542, epoch loss=1.839637
Batch=659, step=11460, lr=0.152500, batch loss=0.263805, epoch loss=2.103442
Batch=719, step=11520, lr=0.152250, batch loss=0.261325, epoch loss=2.364767
Batch=779, step=11580, lr=0.152000, batch loss=0.271771, epoch loss=2.636538
Batch=839, step=11640, lr=0.151500, batch loss=0.250168, epoch loss=2.886706
Batch=899, step=11700, lr=0.151500, batch loss=0.217800, epoch loss=3.104506
Batch=959, step=11760, lr=0.151000, batch loss=0.186301, epoch loss=3.290807
Batch=1019, step=11820, lr=0.150750, batch loss=0.281569, epoch loss=3.572376
Batch=1079, step=11880, lr=0.150750, batch loss=0.160616, epoch loss=3.732992
Batch=1139, step=11940, lr=0.150500, batch loss=0.191210, epoch loss=3.924202
Batch=1199, step=12000, lr=0.150000, batch loss=0.139961, epoch loss=4.064162
Epoch=9, step=12000, lr=0.150000, epoch loss=4.064162
Batch=59, step=12060, lr=0.150000, batch loss=0.159050, epoch loss=0.159050
Batch=119, step=12120, lr=0.149750, batch loss=0.128031, epoch loss=0.287081
Batch=179, step=12180, lr=0.149250, batch loss=0.152653, epoch loss=0.439733
Batch=239, step=12240, lr=0.149250, batch loss=0.221584, epoch loss=0.661317
Batch=299, step=12300, lr=0.148750, batch loss=0.144392, epoch loss=0.805710
Batch=359, step=12360, lr=0.148500, batch loss=0.194479, epoch loss=1.000189
Batch=419, step=12420, lr=0.148500, batch loss=0.209381, epoch loss=1.209570
Batch=479, step=12480, lr=0.148000, batch loss=0.177503, epoch loss=1.387073
Batch=539, step=12540, lr=0.148000, batch loss=0.144343, epoch loss=1.531416
Batch=599, step=12600, lr=0.147750, batch loss=0.152911, epoch loss=1.684326
Batch=659, step=12660, lr=0.147500, batch loss=0.236033, epoch loss=1.920359
Batch=719, step=12720, lr=0.147000, batch loss=0.234624, epoch loss=2.154984
Batch=779, step=12780, lr=0.146750, batch loss=0.262513, epoch loss=2.417497
Batch=839, step=12840, lr=0.146750, batch loss=0.231463, epoch loss=2.648960
Batch=899, step=12900, lr=0.146500, batch loss=0.202290, epoch loss=2.851250
Batch=959, step=12960, lr=0.146250, batch loss=0.148197, epoch loss=2.999447
Batch=1019, step=13020, lr=0.146000, batch loss=0.268935, epoch loss=3.268381
Batch=1079, step=13080, lr=0.145750, batch loss=0.111625, epoch loss=3.380007
Batch=1139, step=13140, lr=0.145500, batch loss=0.152190, epoch loss=3.532197
Batch=1199, step=13200, lr=0.145250, batch loss=0.117332, epoch loss=3.649529
Epoch=10, step=13200, lr=0.145250, epoch loss=3.649529
Batch=59, step=13260, lr=0.144750, batch loss=0.144782, epoch loss=0.144782
Batch=119, step=13320, lr=0.144500, batch loss=0.124804, epoch loss=0.269586
Batch=179, step=13380, lr=0.144250, batch loss=0.130727, epoch loss=0.400314
Batch=239, step=13440, lr=0.144000, batch loss=0.191005, epoch loss=0.591318
Batch=299, step=13500, lr=0.143750, batch loss=0.111947, epoch loss=0.703265
Batch=359, step=13560, lr=0.143750, batch loss=0.163107, epoch loss=0.866373
Batch=419, step=13620, lr=0.143500, batch loss=0.161004, epoch loss=1.027377
Batch=479, step=13680, lr=0.143250, batch loss=0.147046, epoch loss=1.174423
Batch=539, step=13740, lr=0.142750, batch loss=0.116908, epoch loss=1.291331
Batch=599, step=13800, lr=0.142500, batch loss=0.120105, epoch loss=1.411436
Batch=659, step=13860, lr=0.142250, batch loss=0.180668, epoch loss=1.592103
Batch=719, step=13920, lr=0.142250, batch loss=0.198342, epoch loss=1.790446
Batch=779, step=13980, lr=0.141750, batch loss=0.235607, epoch loss=2.026053
Batch=839, step=14040, lr=0.141500, batch loss=0.196261, epoch loss=2.222313
Batch=899, step=14100, lr=0.141250, batch loss=0.199650, epoch loss=2.421963
Batch=959, step=14160, lr=0.141000, batch loss=0.117056, epoch loss=2.539019
Batch=1019, step=14220, lr=0.141000, batch loss=0.196053, epoch loss=2.735073
Batch=1079, step=14280, lr=0.140500, batch loss=0.077838, epoch loss=2.812911
Batch=1139, step=14340, lr=0.140250, batch loss=0.121639, epoch loss=2.934550
Batch=1199, step=14400, lr=0.140250, batch loss=0.086842, epoch loss=3.021392
Epoch=11, step=14400, lr=0.140250, epoch loss=3.021392
Batch=59, step=14460, lr=0.139750, batch loss=0.104527, epoch loss=0.104527
Batch=119, step=14520, lr=0.139750, batch loss=0.100673, epoch loss=0.205201
Batch=179, step=14580, lr=0.139250, batch loss=0.098991, epoch loss=0.304192
Batch=239, step=14640, lr=0.139000, batch loss=0.144585, epoch loss=0.448777
Batch=299, step=14700, lr=0.138750, batch loss=0.111844, epoch loss=0.560621
Batch=359, step=14760, lr=0.138500, batch loss=0.135207, epoch loss=0.695828
Batch=419, step=14820, lr=0.138500, batch loss=0.176445, epoch loss=0.872273
Batch=479, step=14880, lr=0.138250, batch loss=0.087596, epoch loss=0.959869
Batch=539, step=14940, lr=0.137750, batch loss=0.069908, epoch loss=1.029777
Batch=599, step=15000, lr=0.137500, batch loss=0.093380, epoch loss=1.123157
Batch=659, step=15060, lr=0.137500, batch loss=0.134796, epoch loss=1.257953
Batch=719, step=15120, lr=0.137250, batch loss=0.140417, epoch loss=1.398371
Batch=779, step=15180, lr=0.136750, batch loss=0.134045, epoch loss=1.532416
Batch=839, step=15240, lr=0.136500, batch loss=0.141757, epoch loss=1.674173
Batch=899, step=15300, lr=0.136250, batch loss=0.116994, epoch loss=1.791167
Batch=959, step=15360, lr=0.136000, batch loss=0.091309, epoch loss=1.882476
Batch=1019, step=15420, lr=0.135750, batch loss=0.096103, epoch loss=1.978579
Batch=1079, step=15480, lr=0.135500, batch loss=0.056128, epoch loss=2.034707
Batch=1139, step=15540, lr=0.135500, batch loss=0.093260, epoch loss=2.127968
Batch=1199, step=15600, lr=0.135000, batch loss=0.053639, epoch loss=2.181606
Epoch=12, step=15600, lr=0.135000, epoch loss=2.181606
Batch=59, step=15660, lr=0.134750, batch loss=0.102561, epoch loss=0.102561
Batch=119, step=15720, lr=0.134500, batch loss=0.165371, epoch loss=0.267932
Batch=179, step=15780, lr=0.134500, batch loss=0.108581, epoch loss=0.376512
Batch=239, step=15840, lr=0.134250, batch loss=0.105676, epoch loss=0.482188
Batch=299, step=15900, lr=0.134000, batch loss=0.044623, epoch loss=0.526811
Batch=359, step=15960, lr=0.133750, batch loss=0.082674, epoch loss=0.609485
Batch=419, step=16020, lr=0.133250, batch loss=0.080619, epoch loss=0.690104
Batch=479, step=16080, lr=0.133000, batch loss=0.062926, epoch loss=0.753031
Batch=539, step=16140, lr=0.132750, batch loss=0.058595, epoch loss=0.811626
Batch=599, step=16200, lr=0.132750, batch loss=0.114295, epoch loss=0.925921
Batch=659, step=16260, lr=0.132500, batch loss=0.080798, epoch loss=1.006720
Batch=719, step=16320, lr=0.132250, batch loss=0.108186, epoch loss=1.114906
Batch=779, step=16380, lr=0.132000, batch loss=0.222753, epoch loss=1.337659
Batch=839, step=16440, lr=0.131500, batch loss=0.094391, epoch loss=1.432050
Batch=899, step=16500, lr=0.131250, batch loss=0.082385, epoch loss=1.514434
Batch=959, step=16560, lr=0.131000, batch loss=0.042317, epoch loss=1.556751
Batch=1019, step=16620, lr=0.131000, batch loss=0.102512, epoch loss=1.659263
Batch=1079, step=16680, lr=0.130500, batch loss=0.032102, epoch loss=1.691365
Batch=1139, step=16740, lr=0.130500, batch loss=0.076729, epoch loss=1.768094
Batch=1199, step=16800, lr=0.130250, batch loss=0.033640, epoch loss=1.801734
Epoch=13, step=16800, lr=0.130250, epoch loss=1.801734
Batch=59, step=16860, lr=0.129750, batch loss=0.034957, epoch loss=0.034957
Batch=119, step=16920, lr=0.129750, batch loss=0.036164, epoch loss=0.071121
Batch=179, step=16980, lr=0.129500, batch loss=0.042068, epoch loss=0.113189
Batch=239, step=17040, lr=0.129000, batch loss=0.054873, epoch loss=0.168062
Batch=299, step=17100, lr=0.129000, batch loss=0.020462, epoch loss=0.188524
Batch=359, step=17160, lr=0.128750, batch loss=0.042976, epoch loss=0.231500
Batch=419, step=17220, lr=0.128500, batch loss=0.080529, epoch loss=0.312028
Batch=479, step=17280, lr=0.128000, batch loss=0.032712, epoch loss=0.344740
Batch=539, step=17340, lr=0.127750, batch loss=0.060483, epoch loss=0.405223
Batch=599, step=17400, lr=0.127750, batch loss=0.035455, epoch loss=0.440678
Batch=659, step=17460, lr=0.127500, batch loss=0.048203, epoch loss=0.488881
Batch=719, step=17520, lr=0.127250, batch loss=0.055292, epoch loss=0.544173
Batch=779, step=17580, lr=0.127000, batch loss=0.137841, epoch loss=0.682014
Batch=839, step=17640, lr=0.126750, batch loss=0.110916, epoch loss=0.792930
Batch=899, step=17700, lr=0.126250, batch loss=0.152325, epoch loss=0.945254
Batch=959, step=17760, lr=0.126000, batch loss=0.020393, epoch loss=0.965648
Batch=1019, step=17820, lr=0.126000, batch loss=0.033313, epoch loss=0.998961
Batch=1079, step=17880, lr=0.125500, batch loss=0.013358, epoch loss=1.012319
Batch=1139, step=17940, lr=0.125250, batch loss=0.037054, epoch loss=1.049372
Batch=1199, step=18000, lr=0.125250, batch loss=0.017144, epoch loss=1.066516
Epoch=14, step=18000, lr=0.125250, epoch loss=1.066516
Batch=59, step=18060, lr=0.124750, batch loss=0.012548, epoch loss=0.012548
Batch=119, step=18120, lr=0.124750, batch loss=0.019078, epoch loss=0.031626
Batch=179, step=18180, lr=0.124500, batch loss=0.029008, epoch loss=0.060634
Batch=239, step=18240, lr=0.124250, batch loss=0.039854, epoch loss=0.100489
Batch=299, step=18300, lr=0.123750, batch loss=0.017640, epoch loss=0.118128
Batch=359, step=18360, lr=0.123750, batch loss=0.025014, epoch loss=0.143142
Batch=419, step=18420, lr=0.123500, batch loss=0.031693, epoch loss=0.174835
Batch=479, step=18480, lr=0.123250, batch loss=0.023686, epoch loss=0.198521
Batch=539, step=18540, lr=0.122750, batch loss=0.042005, epoch loss=0.240526
Batch=599, step=18600, lr=0.122750, batch loss=0.026320, epoch loss=0.266846
Batch=659, step=18660, lr=0.122250, batch loss=0.033857, epoch loss=0.300703
Batch=719, step=18720, lr=0.122250, batch loss=0.047306, epoch loss=0.348010
Batch=779, step=18780, lr=0.121750, batch loss=0.117683, epoch loss=0.465693
Batch=839, step=18840, lr=0.121750, batch loss=0.057475, epoch loss=0.523167
Batch=899, step=18900, lr=0.121500, batch loss=0.054417, epoch loss=0.577584
Batch=959, step=18960, lr=0.121000, batch loss=0.015338, epoch loss=0.592922
Batch=1019, step=19020, lr=0.121000, batch loss=0.021956, epoch loss=0.614878
Batch=1079, step=19080, lr=0.120500, batch loss=0.009976, epoch loss=0.624854
Batch=1139, step=19140, lr=0.120250, batch loss=0.023635, epoch loss=0.648489
Batch=1199, step=19200, lr=0.120250, batch loss=0.009534, epoch loss=0.658023
Epoch=15, step=19200, lr=0.120250, epoch loss=0.658023
Batch=59, step=19260, lr=0.120000, batch loss=0.004187, epoch loss=0.004187
Batch=119, step=19320, lr=0.119750, batch loss=0.011976, epoch loss=0.016163
Batch=179, step=19380, lr=0.119250, batch loss=0.020329, epoch loss=0.036492
Batch=239, step=19440, lr=0.119000, batch loss=0.020725, epoch loss=0.057218
Batch=299, step=19500, lr=0.119000, batch loss=0.005166, epoch loss=0.062384
Batch=359, step=19560, lr=0.118500, batch loss=0.017345, epoch loss=0.079729
Batch=419, step=19620, lr=0.118500, batch loss=0.020220, epoch loss=0.099949
Batch=479, step=19680, lr=0.118250, batch loss=0.012650, epoch loss=0.112599
Batch=539, step=19740, lr=0.118000, batch loss=0.019476, epoch loss=0.132075
Batch=599, step=19800, lr=0.117500, batch loss=0.019772, epoch loss=0.151847
Batch=659, step=19860, lr=0.117250, batch loss=0.019118, epoch loss=0.170965
Batch=719, step=19920, lr=0.117000, batch loss=0.016451, epoch loss=0.187416
Batch=779, step=19980, lr=0.117000, batch loss=0.018874, epoch loss=0.206290
Batch=839, step=20040, lr=0.116500, batch loss=0.030513, epoch loss=0.236803
Batch=899, step=20100, lr=0.116250, batch loss=0.032579, epoch loss=0.269382
Batch=959, step=20160, lr=0.116250, batch loss=0.013597, epoch loss=0.282979
Batch=1019, step=20220, lr=0.116000, batch loss=0.014227, epoch loss=0.297207
Batch=1079, step=20280, lr=0.115750, batch loss=0.005191, epoch loss=0.302398
Batch=1139, step=20340, lr=0.115500, batch loss=0.019486, epoch loss=0.321883
Batch=1199, step=20400, lr=0.115000, batch loss=0.007569, epoch loss=0.329453
Epoch=16, step=20400, lr=0.115000, epoch loss=0.329453
Batch=59, step=20460, lr=0.114750, batch loss=0.003541, epoch loss=0.003541
Batch=119, step=20520, lr=0.114750, batch loss=0.010020, epoch loss=0.013562
Batch=179, step=20580, lr=0.114500, batch loss=0.022724, epoch loss=0.036285
Batch=239, step=20640, lr=0.114000, batch loss=0.018233, epoch loss=0.054518
Batch=299, step=20700, lr=0.113750, batch loss=0.004952, epoch loss=0.059470
Batch=359, step=20760, lr=0.113750, batch loss=0.014296, epoch loss=0.073766
Batch=419, step=20820, lr=0.113500, batch loss=0.014437, epoch loss=0.088203
Batch=479, step=20880, lr=0.113250, batch loss=0.005172, epoch loss=0.093375
Batch=539, step=20940, lr=0.113000, batch loss=0.015509, epoch loss=0.108884
Batch=599, step=21000, lr=0.112750, batch loss=0.018988, epoch loss=0.127872
Batch=659, step=21060, lr=0.112500, batch loss=0.015655, epoch loss=0.143527
Batch=719, step=21120, lr=0.112250, batch loss=0.041824, epoch loss=0.185351
Batch=779, step=21180, lr=0.112000, batch loss=0.070944, epoch loss=0.256296
Batch=839, step=21240, lr=0.111750, batch loss=0.025749, epoch loss=0.282044
Batch=899, step=21300, lr=0.111500, batch loss=0.027900, epoch loss=0.309944
Batch=959, step=21360, lr=0.111000, batch loss=0.010303, epoch loss=0.320247
Batch=1019, step=21420, lr=0.111000, batch loss=0.011311, epoch loss=0.331558
Batch=1079, step=21480, lr=0.110750, batch loss=0.001987, epoch loss=0.333545
Batch=1139, step=21540, lr=0.110500, batch loss=0.012836, epoch loss=0.346382
Batch=1199, step=21600, lr=0.110250, batch loss=0.005204, epoch loss=0.351586
Epoch=17, step=21600, lr=0.110250, epoch loss=0.351586
Batch=59, step=21660, lr=0.109750, batch loss=0.003027, epoch loss=0.003027
Batch=119, step=21720, lr=0.109750, batch loss=0.006847, epoch loss=0.009874
Batch=179, step=21780, lr=0.109500, batch loss=0.013428, epoch loss=0.023302
Batch=239, step=21840, lr=0.109250, batch loss=0.010231, epoch loss=0.033533
Batch=299, step=21900, lr=0.109000, batch loss=0.006785, epoch loss=0.040318
Batch=359, step=21960, lr=0.108750, batch loss=0.015023, epoch loss=0.055341
Batch=419, step=22020, lr=0.108500, batch loss=0.013731, epoch loss=0.069072
Batch=479, step=22080, lr=0.108250, batch loss=0.003598, epoch loss=0.072670
Batch=539, step=22140, lr=0.108000, batch loss=0.016154, epoch loss=0.088825
Batch=599, step=22200, lr=0.107750, batch loss=0.016547, epoch loss=0.105372
Batch=659, step=22260, lr=0.107500, batch loss=0.013972, epoch loss=0.119343
Batch=719, step=22320, lr=0.107250, batch loss=0.032860, epoch loss=0.152203
Batch=779, step=22380, lr=0.106750, batch loss=0.051328, epoch loss=0.203532
Batch=839, step=22440, lr=0.106500, batch loss=0.022458, epoch loss=0.225989
Batch=899, step=22500, lr=0.106500, batch loss=0.022394, epoch loss=0.248384
Batch=959, step=22560, lr=0.106000, batch loss=0.010580, epoch loss=0.258964
Batch=1019, step=22620, lr=0.105750, batch loss=0.010485, epoch loss=0.269449
Batch=1079, step=22680, lr=0.105750, batch loss=0.000483, epoch loss=0.269932
Batch=1139, step=22740, lr=0.105500, batch loss=0.012100, epoch loss=0.282032
Batch=1199, step=22800, lr=0.105250, batch loss=0.004853, epoch loss=0.286885
Epoch=18, step=22800, lr=0.105250, epoch loss=0.286885
Batch=59, step=22860, lr=0.105000, batch loss=0.002003, epoch loss=0.002003
Batch=119, step=22920, lr=0.104750, batch loss=0.005710, epoch loss=0.007713
Batch=179, step=22980, lr=0.104250, batch loss=0.011173, epoch loss=0.018886
Batch=239, step=23040, lr=0.104000, batch loss=0.009981, epoch loss=0.028867
Batch=299, step=23100, lr=0.104000, batch loss=0.012109, epoch loss=0.040976
Batch=359, step=23160, lr=0.103500, batch loss=0.011641, epoch loss=0.052617
Batch=419, step=23220, lr=0.103250, batch loss=0.011075, epoch loss=0.063691
Batch=479, step=23280, lr=0.103000, batch loss=0.002481, epoch loss=0.066172
Batch=539, step=23340, lr=0.102750, batch loss=0.017027, epoch loss=0.083200
Batch=599, step=23400, lr=0.102750, batch loss=0.013916, epoch loss=0.097116
Batch=659, step=23460, lr=0.102250, batch loss=0.010528, epoch loss=0.107644
Batch=719, step=23520, lr=0.102250, batch loss=0.017629, epoch loss=0.125273
Batch=779, step=23580, lr=0.101750, batch loss=0.022754, epoch loss=0.148027
Batch=839, step=23640, lr=0.101500, batch loss=0.025018, epoch loss=0.173045
Batch=899, step=23700, lr=0.101500, batch loss=0.025015, epoch loss=0.198060
Batch=959, step=23760, lr=0.101250, batch loss=0.008342, epoch loss=0.206402
Batch=1019, step=23820, lr=0.100750, batch loss=0.007584, epoch loss=0.213986
Batch=1079, step=23880, lr=0.100500, batch loss=0.000504, epoch loss=0.214490
Batch=1139, step=23940, lr=0.100250, batch loss=0.009356, epoch loss=0.223845
Batch=1199, step=24000, lr=0.100000, batch loss=0.004359, epoch loss=0.228204
Epoch=19, step=24000, lr=0.100000, epoch loss=0.228204


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 15:35.07 ---> saved as "cedbc9a5d4beae9f35c73b7f5196f4da3fa0f93ba7f0b61feee33ee44b3f0834"
Job succeeded
2025-03-21 15:35.09: Job succeeded