debian-11-5.3_opam-2.3

2025-03-20 22:29.24: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (1a4d0ebb2cb2be9bf8422ae739357d8626151cd1) (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 1a4d0ebb
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


2025-03-20 22:29.24: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c-debian-11-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-20 22:29.24: 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"))
)


2025-03-20 22:29.24: Waiting for resource in pool OCluster
2025-03-20 22:29.24: Waiting for worker…
2025-03-20 22:32.56: Got resource from pool OCluster
Building on phoebe.caelum.ci.dev
All commits already cached
HEAD is now at 1a4d0ebb fPIC for cc: but only openSUSE complained https://ocaml.ci.dev/github/ahrefs/ocannl/commit/ccaf459c55f1e1dab014a65af54e1ba2ec3b9ad0/variant/opensuse-15.6-5.3_opam-2.3


(from ocaml/opam:debian-11-ocaml-5.3@sha256:5acb2e3b77d627e8807f7b401a2d2b670c61bd8d626f7c5a87cda15b053f4e8c)
2025-03-20 22:32.57 ---> using "b4f3e3a5063982bbc841035e188663009352cabdae6127a84a77b2b1e7746a9c" from cache


/: (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"))
2025-03-20 22:32.57 ---> using "837909cf357dbef762753eebac80775e6de312510185f4ca5a6cecd3ae4cd0bf" 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
[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
2025-03-20 22:32.57 ---> using "126754616a0883edf73855301c586b0218900498f80d24bfe653bbe0af0fda41" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-03-20 22:32.57 ---> using "f1a850b0d0b34fa431f0064c7e811f48129c9a3c72bcf8cfd6026d2ea544afa4" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:32.57 ---> using "2ee37b392ed39ae65bd872720b58ef9daa42c6c50406b47cee7e065de030dfee" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
862a7640b1..6cf83229dd  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:32.57 ---> using "43eed9b2620af14dda9b17d57d927cf8f18cd27565b6b6e5db1da1dd96506c0c" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:32.58 ---> 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)
2025-03-20 22:33.03 ---> saved as "b4d20779886cc71bdc29ec05383e522e1d56dc9ed4bfbb528d4505bc9dae75aa"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:33.03 ---> 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 0s (939 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 ... 75%
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(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(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.
- Preparing to unpack .../4-libxml2_2.9.10+dfsg-6.7+deb11u6_amd64.deb ...
- 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) ...
- Selecting previously unselected package shared-mime-info.
- Preparing to unpack .../6-shared-mime-info_2.0-1_amd64.deb ...
- Unpacking shared-mime-info (2.0-1) ...
- Selecting previously unselected package xdg-user-dirs.
- 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) ...
2025-03-20 22:33.32 ---> 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 base.v0.17.1  (cached)
-> retrieved bigarray-compat.1.1.0  (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 ocamlfind.1.9.8  (cached)
-> retrieved ocamlbuild.0.16.1  (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 dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved 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-compiler-libs.v0.17.0
-> installed cppo.1.8.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed integers.0.7.0
-> installed saturn_lockfree.0.5.0
-> installed 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 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.2.1.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:35.55 ---> saved as "39cbaa7b5803dc3a7980c5e931437b8332532397d7cfd69b50234e8fb09894c4"


/src: (copy (src .) (dst /src))
2025-03-20 22:35.55 ---> saved as "46598f04587048093e3d02b368dde829f053c5fa1cc7a2a36d40a3fba88f2fae"


/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/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/080a946d72536ac76e899037a6a1bc69/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3dbf8953896880e6ebbf91f8678ba6ee/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/3dbf8953896880e6ebbf91f8678ba6ee/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786
Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067
Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387
Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355
Batch=599, step=6600, lr=0.172500, batch loss=0.234500, epoch loss=2.334855
Batch=659, step=6660, lr=0.172500, batch loss=0.312071, epoch loss=2.646926
Batch=719, step=6720, lr=0.172250, batch loss=0.314265, epoch loss=2.961191
Batch=779, step=6780, lr=0.171750, batch loss=0.333157, epoch loss=3.294348
Batch=839, step=6840, lr=0.171750, batch loss=0.303771, epoch loss=3.598119
Batch=899, step=6900, lr=0.171250, batch loss=0.268452, epoch loss=3.866571
Batch=959, step=6960, lr=0.171000, batch loss=0.210984, epoch loss=4.077555
Batch=1019, step=7020, lr=0.171000, batch loss=0.329606, epoch loss=4.407160
Batch=1079, step=7080, lr=0.170750, batch loss=0.180758, epoch loss=4.587919
Batch=1139, step=7140, lr=0.170500, batch loss=0.216056, epoch loss=4.803975
Batch=1199, step=7200, lr=0.170250, batch loss=0.185611, epoch loss=4.989586
Epoch=5, step=7200, lr=0.170250, epoch loss=4.989586
Batch=59, step=7260, lr=0.170000, batch loss=0.232617, epoch loss=0.232617
Batch=119, step=7320, lr=0.169750, batch loss=0.184519, epoch loss=0.417136
Batch=179, step=7380, lr=0.169500, batch loss=0.196593, epoch loss=0.613729
Batch=239, step=7440, lr=0.169250, batch loss=0.291723, epoch loss=0.905452
Batch=299, step=7500, lr=0.169000, batch loss=0.200798, epoch loss=1.106250
Batch=359, step=7560, lr=0.168750, batch loss=0.258630, epoch loss=1.364880
Batch=419, step=7620, lr=0.168500, batch loss=0.257309, epoch loss=1.622189
Batch=479, step=7680, lr=0.168250, batch loss=0.235406, epoch loss=1.857595
Batch=539, step=7740, lr=0.168000, batch loss=0.188470, epoch loss=2.046065
Batch=599, step=7800, lr=0.167750, batch loss=0.223280, epoch loss=2.269345
Batch=659, step=7860, lr=0.167500, batch loss=0.306274, epoch loss=2.575619
Batch=719, step=7920, lr=0.167250, batch loss=0.308775, epoch loss=2.884394
Batch=779, step=7980, lr=0.167000, batch loss=0.330510, epoch loss=3.214903
Batch=839, step=8040, lr=0.166750, batch loss=0.292101, epoch loss=3.507005
Batch=899, step=8100, lr=0.166500, batch loss=0.262192, epoch loss=3.769197
Batch=959, step=8160, lr=0.166250, batch loss=0.192569, epoch loss=3.961766
Batch=1019, step=8220, lr=0.166000, batch loss=0.290953, epoch loss=4.252719
Batch=1079, step=8280, lr=0.165750, batch loss=0.184467, epoch loss=4.437187
Batch=1139, step=8340, lr=0.165500, batch loss=0.216186, epoch loss=4.653372
Batch=1199, step=8400, lr=0.165250, batch loss=0.172749, epoch loss=4.826121
Epoch=6, step=8400, lr=0.165250, epoch loss=4.826121
Batch=59, step=8460, lr=0.165000, batch loss=0.212176, epoch loss=0.212176
Batch=119, step=8520, lr=0.164750, batch loss=0.177957, epoch loss=0.390133
Batch=179, step=8580, lr=0.164500, batch loss=0.188595, epoch loss=0.578728
Batch=239, step=8640, lr=0.164250, batch loss=0.278053, epoch loss=0.856781
Batch=299, step=8700, lr=0.164000, batch loss=0.193914, epoch loss=1.050695
Batch=359, step=8760, lr=0.163750, batch loss=0.247198, epoch loss=1.297893
Batch=419, step=8820, lr=0.163500, batch loss=0.245355, epoch loss=1.543249
Batch=479, step=8880, lr=0.163250, batch loss=0.229317, epoch loss=1.772565
Batch=539, step=8940, lr=0.163000, batch loss=0.177646, epoch loss=1.950212
Batch=599, step=9000, lr=0.162750, batch loss=0.217676, epoch loss=2.167887
Batch=659, step=9060, lr=0.162500, batch loss=0.295068, epoch loss=2.462955
Batch=719, step=9120, lr=0.162250, batch loss=0.299166, epoch loss=2.762121
Batch=779, step=9180, lr=0.162000, batch loss=0.316324, epoch loss=3.078445
Batch=839, step=9240, lr=0.161750, batch loss=0.281892, epoch loss=3.360337
Batch=899, step=9300, lr=0.161500, batch loss=0.250749, epoch loss=3.611086
Batch=959, step=9360, lr=0.161250, batch loss=0.197817, epoch loss=3.808903
Batch=1019, step=9420, lr=0.161000, batch loss=0.307403, epoch loss=4.116305
Batch=1079, step=9480, lr=0.160750, batch loss=0.197009, epoch loss=4.313314
Batch=1139, step=9540, lr=0.160500, batch loss=0.213446, epoch loss=4.526760
Batch=1199, step=9600, lr=0.160250, batch loss=0.167261, epoch loss=4.694022
Epoch=7, step=9600, lr=0.160250, epoch loss=4.694022
Batch=59, step=9660, lr=0.160000, batch loss=0.200831, epoch loss=0.200831
Batch=119, step=9720, lr=0.159750, batch loss=0.164846, epoch loss=0.365678
Batch=179, step=9780, lr=0.159500, batch loss=0.178472, epoch loss=0.544150
Batch=239, step=9840, lr=0.159250, batch loss=0.262578, epoch loss=0.806728
Batch=299, step=9900, lr=0.159000, batch loss=0.181262, epoch loss=0.987990
Batch=359, step=9960, lr=0.158750, batch loss=0.241342, epoch loss=1.229332
Batch=419, step=10020, lr=0.158500, batch loss=0.233287, epoch loss=1.462619
Batch=479, step=10080, lr=0.158250, batch loss=0.213334, epoch loss=1.675953
Batch=539, step=10140, lr=0.158000, batch loss=0.172083, epoch loss=1.848036
Batch=599, step=10200, lr=0.157750, batch loss=0.200953, epoch loss=2.048989
Batch=659, step=10260, lr=0.157500, batch loss=0.281399, epoch loss=2.330388
Batch=719, step=10320, lr=0.157250, batch loss=0.286315, epoch loss=2.616703
Batch=779, step=10380, lr=0.157000, batch loss=0.294785, epoch loss=2.911488
Batch=839, step=10440, lr=0.156750, batch loss=0.266174, epoch loss=3.177662
Batch=899, step=10500, lr=0.156500, batch loss=0.244190, epoch loss=3.421852
Batch=959, step=10560, lr=0.156250, batch loss=0.197661, epoch loss=3.619513
Batch=1019, step=10620, lr=0.156000, batch loss=0.279680, epoch loss=3.899193
Batch=1079, step=10680, lr=0.155750, batch loss=0.167644, epoch loss=4.066837
Batch=1139, step=10740, lr=0.155500, batch loss=0.199648, epoch loss=4.266485
Batch=1199, step=10800, lr=0.155250, batch loss=0.154075, epoch loss=4.420560
Epoch=8, step=10800, lr=0.155250, epoch loss=4.420560
Batch=59, step=10860, lr=0.155000, batch loss=0.180045, epoch loss=0.180045
Batch=119, step=10920, lr=0.154750, batch loss=0.150665, epoch loss=0.330710
Batch=179, step=10980, lr=0.154500, batch loss=0.166447, epoch loss=0.497157
Batch=239, step=11040, lr=0.154250, batch loss=0.240743, epoch loss=0.737901
Batch=299, step=11100, lr=0.154000, batch loss=0.172126, epoch loss=0.910026
Batch=359, step=11160, lr=0.153750, batch loss=0.220861, epoch loss=1.130887
Batch=419, step=11220, lr=0.153500, batch loss=0.228478, epoch loss=1.359365
Batch=479, step=11280, lr=0.153250, batch loss=0.203979, epoch loss=1.563345
Batch=539, step=11340, lr=0.153000, batch loss=0.158768, epoch loss=1.722113
Batch=599, step=11400, lr=0.152750, batch loss=0.179583, epoch loss=1.901696
Batch=659, step=11460, lr=0.152500, batch loss=0.265361, epoch loss=2.167057
Batch=719, step=11520, lr=0.152250, batch loss=0.253140, epoch loss=2.420197
Batch=779, step=11580, lr=0.152000, batch loss=0.274406, epoch loss=2.694603
Batch=839, step=11640, lr=0.151750, batch loss=0.254110, epoch loss=2.948713
Batch=899, step=11700, lr=0.151500, batch loss=0.213644, epoch loss=3.162357
Batch=959, step=11760, lr=0.151250, batch loss=0.165702, epoch loss=3.328060
Batch=1019, step=11820, lr=0.151000, batch loss=0.268848, epoch loss=3.596907
Batch=1079, step=11880, lr=0.150750, batch loss=0.149077, epoch loss=3.745985
Batch=1139, step=11940, lr=0.150500, batch loss=0.187084, epoch loss=3.933069
Batch=1199, step=12000, lr=0.150250, batch loss=0.139044, epoch loss=4.072112
Epoch=9, step=12000, lr=0.150250, epoch loss=4.072112
Batch=59, step=12060, lr=0.150000, batch loss=0.157381, epoch loss=0.157381
Batch=119, step=12120, lr=0.149750, batch loss=0.127921, epoch loss=0.285302
Batch=179, step=12180, lr=0.149500, batch loss=0.152434, epoch loss=0.437736
Batch=239, step=12240, lr=0.149250, batch loss=0.221330, epoch loss=0.659066
Batch=299, step=12300, lr=0.149000, batch loss=0.146470, epoch loss=0.805536
Batch=359, step=12360, lr=0.148750, batch loss=0.193928, epoch loss=0.999464
Batch=419, step=12420, lr=0.148500, batch loss=0.208664, epoch loss=1.208128
Batch=479, step=12480, lr=0.148250, batch loss=0.176604, epoch loss=1.384733
Batch=539, step=12540, lr=0.148000, batch loss=0.143936, epoch loss=1.528669
Batch=599, step=12600, lr=0.147750, batch loss=0.152327, epoch loss=1.680996
Batch=659, step=12660, lr=0.147500, batch loss=0.235685, epoch loss=1.916680
Batch=719, step=12720, lr=0.147250, batch loss=0.234298, epoch loss=2.150978
Batch=779, step=12780, lr=0.147000, batch loss=0.262777, epoch loss=2.413755
Batch=839, step=12840, lr=0.146750, batch loss=0.230409, epoch loss=2.644164
Batch=899, step=12900, lr=0.146500, batch loss=0.191906, epoch loss=2.836070
Batch=959, step=12960, lr=0.146250, batch loss=0.163952, epoch loss=3.000022
Batch=1019, step=13020, lr=0.146000, batch loss=0.263188, epoch loss=3.263210
Batch=1079, step=13080, lr=0.145750, batch loss=0.115283, epoch loss=3.378493
Batch=1139, step=13140, lr=0.145500, batch loss=0.154984, epoch loss=3.533478
Batch=1199, step=13200, lr=0.145250, batch loss=0.117268, epoch loss=3.650746
Epoch=10, step=13200, lr=0.145250, epoch loss=3.650746
Batch=59, step=13260, lr=0.145000, batch loss=0.145746, epoch loss=0.145746
Batch=119, step=13320, lr=0.144750, batch loss=0.132221, epoch loss=0.277967
Batch=179, step=13380, lr=0.144500, batch loss=0.130769, epoch loss=0.408736
Batch=239, step=13440, lr=0.144250, batch loss=0.186706, epoch loss=0.595441
Batch=299, step=13500, lr=0.144000, batch loss=0.116444, epoch loss=0.711886
Batch=359, step=13560, lr=0.143750, batch loss=0.163330, epoch loss=0.875216
Batch=419, step=13620, lr=0.143500, batch loss=0.166281, epoch loss=1.041496
Batch=479, step=13680, lr=0.143250, batch loss=0.149403, epoch loss=1.190899
Batch=539, step=13740, lr=0.143000, batch loss=0.115996, epoch loss=1.306895
Batch=599, step=13800, lr=0.142750, batch loss=0.119638, epoch loss=1.426533
Batch=659, step=13860, lr=0.142500, batch loss=0.177854, epoch loss=1.604386
Batch=719, step=13920, lr=0.142250, batch loss=0.172884, epoch loss=1.777271
Batch=779, step=13980, lr=0.142000, batch loss=0.179357, epoch loss=1.956628
Batch=839, step=14040, lr=0.141750, batch loss=0.188557, epoch loss=2.145185
Batch=899, step=14100, lr=0.141500, batch loss=0.176267, epoch loss=2.321452
Batch=959, step=14160, lr=0.141250, batch loss=0.149005, epoch loss=2.470457
Batch=1019, step=14220, lr=0.141000, batch loss=0.317991, epoch loss=2.788448
Batch=1079, step=14280, lr=0.140750, batch loss=0.076354, epoch loss=2.864802
Batch=1139, step=14340, lr=0.140500, batch loss=0.124786, epoch loss=2.989588
Batch=1199, step=14400, lr=0.140250, batch loss=0.093020, epoch loss=3.082608
Epoch=11, step=14400, lr=0.140250, epoch loss=3.082608
Batch=59, step=14460, lr=0.140000, batch loss=0.120651, epoch loss=0.120651
Batch=119, step=14520, lr=0.139750, batch loss=0.104137, epoch loss=0.224788
Batch=179, step=14580, lr=0.139500, batch loss=0.107039, epoch loss=0.331827
Batch=239, step=14640, lr=0.139250, batch loss=0.139489, epoch loss=0.471316
Batch=299, step=14700, lr=0.139000, batch loss=0.067441, epoch loss=0.538757
Batch=359, step=14760, lr=0.138750, batch loss=0.110961, epoch loss=0.649719
Batch=419, step=14820, lr=0.138500, batch loss=0.121293, epoch loss=0.771011
Batch=479, step=14880, lr=0.138250, batch loss=0.105972, epoch loss=0.876984
Batch=539, step=14940, lr=0.138000, batch loss=0.115256, epoch loss=0.992240
Batch=599, step=15000, lr=0.137750, batch loss=0.087449, epoch loss=1.079689
Batch=659, step=15060, lr=0.137500, batch loss=0.127025, epoch loss=1.206714
Batch=719, step=15120, lr=0.137250, batch loss=0.134696, epoch loss=1.341410
Batch=779, step=15180, lr=0.137000, batch loss=0.172615, epoch loss=1.514025
Batch=839, step=15240, lr=0.136750, batch loss=0.160240, epoch loss=1.674265
Batch=899, step=15300, lr=0.136500, batch loss=0.254661, epoch loss=1.928926
Batch=959, step=15360, lr=0.136250, batch loss=0.061517, epoch loss=1.990442
Batch=1019, step=15420, lr=0.136000, batch loss=0.132765, epoch loss=2.123207
Batch=1079, step=15480, lr=0.135750, batch loss=0.044772, epoch loss=2.167979
Batch=1139, step=15540, lr=0.135500, batch loss=0.098621, epoch loss=2.266600
Batch=1199, step=15600, lr=0.135250, batch loss=0.059314, epoch loss=2.325914
Epoch=12, step=15600, lr=0.135250, epoch loss=2.325914
Batch=59, step=15660, lr=0.135000, batch loss=0.075970, epoch loss=0.075970
Batch=119, step=15720, lr=0.134750, batch loss=0.106955, epoch loss=0.182925
Batch=179, step=15780, lr=0.134500, batch loss=0.088306, epoch loss=0.271231
Batch=239, step=15840, lr=0.134250, batch loss=0.092420, epoch loss=0.363651
Batch=299, step=15900, lr=0.134000, batch loss=0.039853, epoch loss=0.403504
Batch=359, step=15960, lr=0.133750, batch loss=0.079188, epoch loss=0.482692
Batch=419, step=16020, lr=0.133500, batch loss=0.079851, epoch loss=0.562543
Batch=479, step=16080, lr=0.133250, batch loss=0.067516, epoch loss=0.630059
Batch=539, step=16140, lr=0.133000, batch loss=0.054613, epoch loss=0.684672
Batch=599, step=16200, lr=0.132750, batch loss=0.102095, epoch loss=0.786767
Batch=659, step=16260, lr=0.132500, batch loss=0.076474, epoch loss=0.863241
Batch=719, step=16320, lr=0.132250, batch loss=0.088317, epoch loss=0.951557
Batch=779, step=16380, lr=0.132000, batch loss=0.125893, epoch loss=1.077450
Batch=839, step=16440, lr=0.131750, batch loss=0.128438, epoch loss=1.205889
Batch=899, step=16500, lr=0.131500, batch loss=0.151236, epoch loss=1.357125
Batch=959, step=16560, lr=0.131250, batch loss=0.036187, epoch loss=1.393313
Batch=1019, step=16620, lr=0.131000, batch loss=0.085443, epoch loss=1.478755
Batch=1079, step=16680, lr=0.130750, batch loss=0.034489, epoch loss=1.513244
Batch=1139, step=16740, lr=0.130500, batch loss=0.072663, epoch loss=1.585907
Batch=1199, step=16800, lr=0.130250, batch loss=0.034726, epoch loss=1.620633
Epoch=13, step=16800, lr=0.130250, epoch loss=1.620633
Batch=59, step=16860, lr=0.130000, batch loss=0.033694, epoch loss=0.033694
Batch=119, step=16920, lr=0.129750, batch loss=0.036498, epoch loss=0.070191
Batch=179, step=16980, lr=0.129500, batch loss=0.041878, epoch loss=0.112069
Batch=239, step=17040, lr=0.129250, batch loss=0.056340, epoch loss=0.168409
Batch=299, step=17100, lr=0.129000, batch loss=0.027616, epoch loss=0.196025
Batch=359, step=17160, lr=0.128750, batch loss=0.048474, epoch loss=0.244499
Batch=419, step=17220, lr=0.128500, batch loss=0.091190, epoch loss=0.335689
Batch=479, step=17280, lr=0.128250, batch loss=0.023711, epoch loss=0.359400
Batch=539, step=17340, lr=0.128000, batch loss=0.026416, epoch loss=0.385816
Batch=599, step=17400, lr=0.127750, batch loss=0.036414, epoch loss=0.422230
Batch=659, step=17460, lr=0.127500, batch loss=0.052495, epoch loss=0.474725
Batch=719, step=17520, lr=0.127250, batch loss=0.067762, epoch loss=0.542488
Batch=779, step=17580, lr=0.127000, batch loss=0.069369, epoch loss=0.611856
Batch=839, step=17640, lr=0.126750, batch loss=0.100387, epoch loss=0.712244
Batch=899, step=17700, lr=0.126500, batch loss=0.047365, epoch loss=0.759609
Batch=959, step=17760, lr=0.126250, batch loss=0.018534, epoch loss=0.778143
Batch=1019, step=17820, lr=0.126000, batch loss=0.049238, epoch loss=0.827381
Batch=1079, step=17880, lr=0.125750, batch loss=0.031253, epoch loss=0.858634
Batch=1139, step=17940, lr=0.125500, batch loss=0.063844, epoch loss=0.922479
Batch=1199, step=18000, lr=0.125250, batch loss=0.020956, epoch loss=0.943434
Epoch=14, step=18000, lr=0.125250, epoch loss=0.943434
Batch=59, step=18060, lr=0.125000, batch loss=0.013554, epoch loss=0.013554
Batch=119, step=18120, lr=0.124750, batch loss=0.017644, epoch loss=0.031199
Batch=179, step=18180, lr=0.124500, batch loss=0.028594, epoch loss=0.059793
Batch=239, step=18240, lr=0.124250, batch loss=0.034061, epoch loss=0.093854
Batch=299, step=18300, lr=0.124000, batch loss=0.012011, epoch loss=0.105864
Batch=359, step=18360, lr=0.123750, batch loss=0.022511, epoch loss=0.128376
Batch=419, step=18420, lr=0.123500, batch loss=0.031384, epoch loss=0.159760
Batch=479, step=18480, lr=0.123250, batch loss=0.023163, epoch loss=0.182923
Batch=539, step=18540, lr=0.123000, batch loss=0.042920, epoch loss=0.225843
Batch=599, step=18600, lr=0.122750, batch loss=0.025886, epoch loss=0.251729
Batch=659, step=18660, lr=0.122500, batch loss=0.031781, epoch loss=0.283510
Batch=719, step=18720, lr=0.122250, batch loss=0.045883, epoch loss=0.329393
Batch=779, step=18780, lr=0.122000, batch loss=0.116240, epoch loss=0.445633
Batch=839, step=18840, lr=0.121750, batch loss=0.058924, epoch loss=0.504557
Batch=899, step=18900, lr=0.121500, batch loss=0.073977, epoch loss=0.578535
Batch=959, step=18960, lr=0.121250, batch loss=0.013895, epoch loss=0.592430
Batch=1019, step=19020, lr=0.121000, batch loss=0.019853, epoch loss=0.612282
Batch=1079, step=19080, lr=0.120750, batch loss=0.010848, epoch loss=0.623130
Batch=1139, step=19140, lr=0.120500, batch loss=0.022448, epoch loss=0.645579
Batch=1199, step=19200, lr=0.120250, batch loss=0.008899, epoch loss=0.654478
Epoch=15, step=19200, lr=0.120250, epoch loss=0.654478
Batch=59, step=19260, lr=0.120000, batch loss=0.003957, epoch loss=0.003957
Batch=119, step=19320, lr=0.119750, batch loss=0.015524, epoch loss=0.019481
Batch=179, step=19380, lr=0.119500, batch loss=0.038496, epoch loss=0.057977
Batch=239, step=19440, lr=0.119250, batch loss=0.021087, epoch loss=0.079064
Batch=299, step=19500, lr=0.119000, batch loss=0.004975, epoch loss=0.084039
Batch=359, step=19560, lr=0.118750, batch loss=0.017008, epoch loss=0.101047
Batch=419, step=19620, lr=0.118500, batch loss=0.020281, epoch loss=0.121327
Batch=479, step=19680, lr=0.118250, batch loss=0.008062, epoch loss=0.129389
Batch=539, step=19740, lr=0.118000, batch loss=0.016798, epoch loss=0.146186
Batch=599, step=19800, lr=0.117750, batch loss=0.024382, epoch loss=0.170569
Batch=659, step=19860, lr=0.117500, batch loss=0.018542, epoch loss=0.189111
Batch=719, step=19920, lr=0.117250, batch loss=0.053227, epoch loss=0.242338
Batch=779, step=19980, lr=0.117000, batch loss=0.076593, epoch loss=0.318931
Batch=839, step=20040, lr=0.116750, batch loss=0.031816, epoch loss=0.350747
Batch=899, step=20100, lr=0.116500, batch loss=0.030359, epoch loss=0.381106
Batch=959, step=20160, lr=0.116250, batch loss=0.016512, epoch loss=0.397618
Batch=1019, step=20220, lr=0.116000, batch loss=0.017639, epoch loss=0.415257
Batch=1079, step=20280, lr=0.115750, batch loss=0.002670, epoch loss=0.417927
Batch=1139, step=20340, lr=0.115500, batch loss=0.014894, epoch loss=0.432821
Batch=1199, step=20400, lr=0.115250, batch loss=0.007466, epoch loss=0.440287
Epoch=16, step=20400, lr=0.115250, epoch loss=0.440287
Batch=59, step=20460, lr=0.115000, batch loss=0.003717, epoch loss=0.003717
Batch=119, step=20520, lr=0.114750, batch loss=0.010974, epoch loss=0.014691
Batch=179, step=20580, lr=0.114500, batch loss=0.021233, epoch loss=0.035925
Batch=239, step=20640, lr=0.114250, batch loss=0.018180, epoch loss=0.054104
Batch=299, step=20700, lr=0.114000, batch loss=0.010895, epoch loss=0.064999
Batch=359, step=20760, lr=0.113750, batch loss=0.014224, epoch loss=0.079224
Batch=419, step=20820, lr=0.113500, batch loss=0.014941, epoch loss=0.094165
Batch=479, step=20880, lr=0.113250, batch loss=0.004784, epoch loss=0.098949
Batch=539, step=20940, lr=0.113000, batch loss=0.015334, epoch loss=0.114283
Batch=599, step=21000, lr=0.112750, batch loss=0.019032, epoch loss=0.133315
Batch=659, step=21060, lr=0.112500, batch loss=0.015969, epoch loss=0.149285
Batch=719, step=21120, lr=0.112250, batch loss=0.038424, epoch loss=0.187708
Batch=779, step=21180, lr=0.112000, batch loss=0.075198, epoch loss=0.262907
Batch=839, step=21240, lr=0.111750, batch loss=0.026436, epoch loss=0.289342
Batch=899, step=21300, lr=0.111500, batch loss=0.035372, epoch loss=0.324714
Batch=959, step=21360, lr=0.111250, batch loss=0.009568, epoch loss=0.334282
Batch=1019, step=21420, lr=0.111000, batch loss=0.010901, epoch loss=0.345183
Batch=1079, step=21480, lr=0.110750, batch loss=0.001113, epoch loss=0.346296
Batch=1139, step=21540, lr=0.110500, batch loss=0.012532, epoch loss=0.358829
Batch=1199, step=21600, lr=0.110250, batch loss=0.005154, epoch loss=0.363983
Epoch=17, step=21600, lr=0.110250, epoch loss=0.363983
Batch=59, step=21660, lr=0.110000, batch loss=0.001891, epoch loss=0.001891
Batch=119, step=21720, lr=0.109750, batch loss=0.006427, epoch loss=0.008318
Batch=179, step=21780, lr=0.109500, batch loss=0.012712, epoch loss=0.021030
Batch=239, step=21840, lr=0.109250, batch loss=0.011936, epoch loss=0.032966
Batch=299, step=21900, lr=0.109000, batch loss=0.002556, epoch loss=0.035522
Batch=359, step=21960, lr=0.108750, batch loss=0.012363, epoch loss=0.047884
Batch=419, step=22020, lr=0.108500, batch loss=0.011332, epoch loss=0.059216
Batch=479, step=22080, lr=0.108250, batch loss=0.002476, epoch loss=0.061692
Batch=539, step=22140, lr=0.108000, batch loss=0.017055, epoch loss=0.078747
Batch=599, step=22200, lr=0.107750, batch loss=0.017215, epoch loss=0.095962
Batch=659, step=22260, lr=0.107500, batch loss=0.012633, epoch loss=0.108595
Batch=719, step=22320, lr=0.107250, batch loss=0.023190, epoch loss=0.131785
Batch=779, step=22380, lr=0.107000, batch loss=0.036913, epoch loss=0.168698
Batch=839, step=22440, lr=0.106750, batch loss=0.022512, epoch loss=0.191210
Batch=899, step=22500, lr=0.106500, batch loss=0.031154, epoch loss=0.222365
Batch=959, step=22560, lr=0.106250, batch loss=0.009243, epoch loss=0.231608
Batch=1019, step=22620, lr=0.106000, batch loss=0.009154, epoch loss=0.240761
Batch=1079, step=22680, lr=0.105500, batch loss=0.000000, epoch loss=0.240761
Batch=1139, step=22740, lr=0.105500, batch loss=0.009676, epoch loss=0.250437
Batch=1199, step=22800, lr=0.105250, batch loss=0.004955, epoch loss=0.255392
Epoch=18, step=22800, lr=0.105250, epoch loss=0.255392
Batch=59, step=22860, lr=0.105000, batch loss=0.001994, epoch loss=0.001994
Batch=119, step=22920, lr=0.104750, batch loss=0.005499, epoch loss=0.007493
Batch=179, step=22980, lr=0.104500, batch loss=0.010531, epoch loss=0.018024
Batch=239, step=23040, lr=0.104250, batch loss=0.008524, epoch loss=0.026548
Batch=299, step=23100, lr=0.104000, batch loss=0.007011, epoch loss=0.033559
Batch=359, step=23160, lr=0.103750, batch loss=0.011521, epoch loss=0.045080
Batch=419, step=23220, lr=0.103500, batch loss=0.010478, epoch loss=0.055558
Batch=479, step=23280, lr=0.103250, batch loss=0.002514, epoch loss=0.058072
Batch=539, step=23340, lr=0.103000, batch loss=0.017559, epoch loss=0.075631
Batch=599, step=23400, lr=0.102750, batch loss=0.013649, epoch loss=0.089281
Batch=659, step=23460, lr=0.102500, batch loss=0.010303, epoch loss=0.099584
Batch=719, step=23520, lr=0.102250, batch loss=0.011354, epoch loss=0.110938
Batch=779, step=23580, lr=0.102000, batch loss=0.018866, epoch loss=0.129804
Batch=839, step=23640, lr=0.101750, batch loss=0.027368, epoch loss=0.157172
Batch=899, step=23700, lr=0.101500, batch loss=0.020995, epoch loss=0.178168
Batch=959, step=23760, lr=0.101250, batch loss=0.010978, epoch loss=0.189145
Batch=1019, step=23820, lr=0.101000, batch loss=0.008342, epoch loss=0.197488
Batch=1079, step=23880, lr=0.100750, batch loss=0.000079, epoch loss=0.197566
Batch=1139, step=23940, lr=0.100500, batch loss=0.008743, epoch loss=0.206310
Batch=1199, step=24000, lr=0.100250, batch loss=0.004402, epoch loss=0.210712
Epoch=19, step=24000, lr=0.100250, epoch loss=0.210712


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:36.30 ---> saved as "c2ff0a34e6e127644abcdffac7e8f170de3a1e9263620b2523d0fc9ed2d80981"
Job succeeded
2025-03-20 22:36.32: Job succeeded