debian-12-5.3_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-12-5.3_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51
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-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51
# debian-12-5.3_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-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51-debian-12-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-21 15:22.29: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51)
(comment debian-12-5.3_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 15:25.15: Got resource from pool OCluster
Building on toxis.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-12-ocaml-5.3@sha256:bc8aaa1230ecb57c5762546b9227e538394dff3b0a270fc783baf8bc6bd0bf51)
2025-03-21 15:26.01 ---> saved as "4c4507dc2c915bc2fe880d11485a066845ce2ccaf87ae0c7a8ec26d34c0670c5"


/: (comment debian-12-5.3_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 15:26.02 ---> saved as "172407e1e661134309aea2eb4045783b25179cce1174e2b787c71a0e229d6f99"


/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 39 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=39 --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 15:27.50 ---> saved as "09dad00ef8e83b2a63e7fe35b5cddf78fe4785748596ca052e2c9a3bfcd80b21"


/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 15:27.51 ---> saved as "4c6e6131f0e3a298407e281b1e9dfd9b93e12d2f56fdd382c559c07f8223d814"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 15:27.51 ---> saved as "a6d2d725d9ab586b26e2389e81730115d2ead44f3f6db0f5c35ba85c11f7e8a2"


/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 15:29.22 ---> saved as "16e82825fcbf79b3bd0cf9f43e22f07b70fcacf3627db24e2aace55a03ddf26a"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 15:29.23 ---> saved as "58a53e2a3dd4d132e7b94535201b52d935bf6e768ec6163b1f46501d34443546"


/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 15:29.28 ---> saved as "cb89076554ba8957a03621180f60934d6cf4212d458e883b14a9a41a2017d5ae"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 15:29.29 ---> saved as "18096c8c7e2d63a4fac760017a7ca2f078f9ec7b6b838a592e612464b9b5d3b4"


/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"
- Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB]
- Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB]
- Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB]
- Get:4 http://deb.debian.org/debian bookworm/main amd64 Packages [8792 kB]
- Get:5 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [249 kB]
- Fetched 9296 kB in 2s (4162 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%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 18776 files and directories currently installed.)
- Preparing to unpack .../libffi-dev_3.4.4-1_amd64.deb ...
- Unpacking libffi-dev:amd64 (3.4.4-1) ...
- Selecting previously unselected package libpkgconf3:amd64.
- Preparing to unpack .../libpkgconf3_1.8.1-1_amd64.deb ...
- Unpacking libpkgconf3:amd64 (1.8.1-1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-1_amd64.deb ...
- Unpacking pkgconf-bin (1.8.1-1) ...
- Selecting previously unselected package pkgconf:amd64.
- Preparing to unpack .../pkgconf_1.8.1-1_amd64.deb ...
- Unpacking pkgconf:amd64 (1.8.1-1) ...
- Selecting previously unselected package pkg-config:amd64.
- Preparing to unpack .../pkg-config_1.8.1-1_amd64.deb ...
- Unpacking pkg-config:amd64 (1.8.1-1) ...
- Setting up libffi-dev:amd64 (3.4.4-1) ...
- Setting up libpkgconf3:amd64 (1.8.1-1) ...
- Setting up pkgconf-bin (1.8.1-1) ...
- Setting up pkgconf:amd64 (1.8.1-1) ...
- Setting up pkg-config:amd64 (1.8.1-1) ...
- Processing triggers for libc-bin (2.36-9+deb12u9) ...
2025-03-21 15:30.06 ---> saved as "cbad75e01466966f4e0a25626ca7a554e66e02ce762ea53b462d2c65de7b6f32"


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved 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 dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> 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 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 ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed 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 ppx_derivers.1.2.1
-> 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 ocaml-compiler-libs.v0.17.0
-> installed cppo.1.8.0
-> 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 variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> 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_enumerate.v0.17.0
-> installed ppx_globalize.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)
2025-03-21 15:32.35 ---> saved as "fb82ddc3efb677dbe27b91a8d7e4ccbba191089e6f2b4759d2c9fec9271a24db"


/src: (copy (src .) (dst /src))
2025-03-21 15:32.36 ---> saved as "c2c2c83b964ac1846c98489a2f719b6f6acdc7560d748f4efdcfe6afc8628d71"


/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/d8642ca847ada47eaa056ec2c3d8648a/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/d8642ca847ada47eaa056ec2c3d8648a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d8642ca847ada47eaa056ec2c3d8648a/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/d8642ca847ada47eaa056ec2c3d8648a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d8642ca847ada47eaa056ec2c3d8648a/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/8dd261d56fbbecff0b34c186f01438b7/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d8642ca847ada47eaa056ec2c3d8648a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d8642ca847ada47eaa056ec2c3d8648a/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/d8642ca847ada47eaa056ec2c3d8648a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d8642ca847ada47eaa056ec2c3d8648a/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/d8642ca847ada47eaa056ec2c3d8648a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d8642ca847ada47eaa056ec2c3d8648a/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/d8642ca847ada47eaa056ec2c3d8648a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d8642ca847ada47eaa056ec2c3d8648a/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/d8642ca847ada47eaa056ec2c3d8648a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d8642ca847ada47eaa056ec2c3d8648a/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/d8642ca847ada47eaa056ec2c3d8648a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d8642ca847ada47eaa056ec2c3d8648a/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/d8642ca847ada47eaa056ec2c3d8648a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d8642ca847ada47eaa056ec2c3d8648a/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/d8642ca847ada47eaa056ec2c3d8648a/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786
Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067
Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387
Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355
Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855
Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963
Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184
Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407
Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164
Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633
Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671
Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133
Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999
Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312
Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223
Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877
Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301
Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593
Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416
Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253
Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689
Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497
Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495
Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390
Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314
Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229
Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518
Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460
Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885
Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660
Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955
Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988
Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087
Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829
Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103
Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103
Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725
Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742
Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559
Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762
Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755
Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388
Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988
Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580
Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712
Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101
Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915
Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348
Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075
Batch=839, step=9240, lr=0.161750, batch loss=0.287243, epoch loss=3.376318
Batch=899, step=9300, lr=0.161500, batch loss=0.251060, epoch loss=3.627378
Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817911
Batch=1019, step=9420, lr=0.161000, batch loss=0.311728, epoch loss=4.129639
Batch=1079, step=9480, lr=0.160750, batch loss=0.191595, epoch loss=4.321234
Batch=1139, step=9540, lr=0.160500, batch loss=0.215772, epoch loss=4.537006
Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702626
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702626
Batch=59, step=9660, lr=0.160000, batch loss=0.197217, epoch loss=0.197217
Batch=119, step=9720, lr=0.159750, batch loss=0.165467, epoch loss=0.362684
Batch=179, step=9780, lr=0.159500, batch loss=0.179286, epoch loss=0.541970
Batch=239, step=9840, lr=0.159250, batch loss=0.263837, epoch loss=0.805807
Batch=299, step=9900, lr=0.159000, batch loss=0.182187, epoch loss=0.987994
Batch=359, step=9960, lr=0.158750, batch loss=0.240842, epoch loss=1.228836
Batch=419, step=10020, lr=0.158500, batch loss=0.232979, epoch loss=1.461815
Batch=479, step=10080, lr=0.158250, batch loss=0.213194, epoch loss=1.675009
Batch=539, step=10140, lr=0.158000, batch loss=0.170694, epoch loss=1.845703
Batch=599, step=10200, lr=0.157750, batch loss=0.200247, epoch loss=2.045950
Batch=659, step=10260, lr=0.157500, batch loss=0.283032, epoch loss=2.328982
Batch=719, step=10320, lr=0.157250, batch loss=0.288754, epoch loss=2.617735
Batch=779, step=10380, lr=0.157000, batch loss=0.296880, epoch loss=2.914615
Batch=839, step=10440, lr=0.156750, batch loss=0.267657, epoch loss=3.182272
Batch=899, step=10500, lr=0.156500, batch loss=0.242699, epoch loss=3.424972
Batch=959, step=10560, lr=0.156250, batch loss=0.198668, epoch loss=3.623639
Batch=1019, step=10620, lr=0.156000, batch loss=0.295119, epoch loss=3.918758
Batch=1079, step=10680, lr=0.155750, batch loss=0.178662, epoch loss=4.097421
Batch=1139, step=10740, lr=0.155500, batch loss=0.205425, epoch loss=4.302846
Batch=1199, step=10800, lr=0.155250, batch loss=0.156138, epoch loss=4.458984
Epoch=8, step=10800, lr=0.155250, epoch loss=4.458984
Batch=59, step=10860, lr=0.155000, batch loss=0.177430, epoch loss=0.177430
Batch=119, step=10920, lr=0.154750, batch loss=0.152366, epoch loss=0.329795
Batch=179, step=10980, lr=0.154500, batch loss=0.167114, epoch loss=0.496909
Batch=239, step=11040, lr=0.154250, batch loss=0.242622, epoch loss=0.739531
Batch=299, step=11100, lr=0.154000, batch loss=0.169984, epoch loss=0.909515
Batch=359, step=11160, lr=0.153750, batch loss=0.222140, epoch loss=1.131654
Batch=419, step=11220, lr=0.153500, batch loss=0.229250, epoch loss=1.360905
Batch=479, step=11280, lr=0.153250, batch loss=0.202871, epoch loss=1.563775
Batch=539, step=11340, lr=0.153000, batch loss=0.159118, epoch loss=1.722894
Batch=599, step=11400, lr=0.152750, batch loss=0.178498, epoch loss=1.901392
Batch=659, step=11460, lr=0.152500, batch loss=0.264724, epoch loss=2.166116
Batch=719, step=11520, lr=0.152250, batch loss=0.256959, epoch loss=2.423075
Batch=779, step=11580, lr=0.152000, batch loss=0.273281, epoch loss=2.696355
Batch=839, step=11640, lr=0.151500, batch loss=0.255783, epoch loss=2.952138
Batch=899, step=11700, lr=0.151500, batch loss=0.212898, epoch loss=3.165036
Batch=959, step=11760, lr=0.151250, batch loss=0.168296, epoch loss=3.333332
Batch=1019, step=11820, lr=0.151000, batch loss=0.265906, epoch loss=3.599238
Batch=1079, step=11880, lr=0.150750, batch loss=0.149896, epoch loss=3.749134
Batch=1139, step=11940, lr=0.150500, batch loss=0.185432, epoch loss=3.934566
Batch=1199, step=12000, lr=0.150250, batch loss=0.139495, epoch loss=4.074060
Epoch=9, step=12000, lr=0.150250, epoch loss=4.074060
Batch=59, step=12060, lr=0.150000, batch loss=0.158072, epoch loss=0.158072
Batch=119, step=12120, lr=0.149750, batch loss=0.128806, epoch loss=0.286877
Batch=179, step=12180, lr=0.149500, batch loss=0.150373, epoch loss=0.437250
Batch=239, step=12240, lr=0.149250, batch loss=0.223336, epoch loss=0.660586
Batch=299, step=12300, lr=0.149000, batch loss=0.142521, epoch loss=0.803107
Batch=359, step=12360, lr=0.148750, batch loss=0.195564, epoch loss=0.998671
Batch=419, step=12420, lr=0.148500, batch loss=0.206113, epoch loss=1.204784
Batch=479, step=12480, lr=0.148250, batch loss=0.178855, epoch loss=1.383639
Batch=539, step=12540, lr=0.148000, batch loss=0.142531, epoch loss=1.526170
Batch=599, step=12600, lr=0.147750, batch loss=0.150485, epoch loss=1.676655
Batch=659, step=12660, lr=0.147500, batch loss=0.224800, epoch loss=1.901455
Batch=719, step=12720, lr=0.147250, batch loss=0.235482, epoch loss=2.136938
Batch=779, step=12780, lr=0.147000, batch loss=0.252525, epoch loss=2.389463
Batch=839, step=12840, lr=0.146750, batch loss=0.225061, epoch loss=2.614524
Batch=899, step=12900, lr=0.146500, batch loss=0.185228, epoch loss=2.799753
Batch=959, step=12960, lr=0.146250, batch loss=0.149193, epoch loss=2.948945
Batch=1019, step=13020, lr=0.146000, batch loss=0.267779, epoch loss=3.216725
Batch=1079, step=13080, lr=0.145750, batch loss=0.115531, epoch loss=3.332255
Batch=1139, step=13140, lr=0.145500, batch loss=0.155275, epoch loss=3.487530
Batch=1199, step=13200, lr=0.145250, batch loss=0.118480, epoch loss=3.606010
Epoch=10, step=13200, lr=0.145250, epoch loss=3.606010
Batch=59, step=13260, lr=0.145000, batch loss=0.143518, epoch loss=0.143518
Batch=119, step=13320, lr=0.144750, batch loss=0.119590, epoch loss=0.263108
Batch=179, step=13380, lr=0.144500, batch loss=0.127181, epoch loss=0.390289
Batch=239, step=13440, lr=0.144250, batch loss=0.186876, epoch loss=0.577165
Batch=299, step=13500, lr=0.144000, batch loss=0.112622, epoch loss=0.689786
Batch=359, step=13560, lr=0.143750, batch loss=0.161722, epoch loss=0.851508
Batch=419, step=13620, lr=0.143500, batch loss=0.160605, epoch loss=1.012113
Batch=479, step=13680, lr=0.143250, batch loss=0.147549, epoch loss=1.159662
Batch=539, step=13740, lr=0.143000, batch loss=0.118025, epoch loss=1.277687
Batch=599, step=13800, lr=0.142750, batch loss=0.120077, epoch loss=1.397763
Batch=659, step=13860, lr=0.142500, batch loss=0.175818, epoch loss=1.573582
Batch=719, step=13920, lr=0.142250, batch loss=0.172405, epoch loss=1.745987
Batch=779, step=13980, lr=0.142000, batch loss=0.188113, epoch loss=1.934100
Batch=839, step=14040, lr=0.141500, batch loss=0.194219, epoch loss=2.128319
Batch=899, step=14100, lr=0.141250, batch loss=0.207921, epoch loss=2.336240
Batch=959, step=14160, lr=0.141250, batch loss=0.110440, epoch loss=2.446680
Batch=1019, step=14220, lr=0.140750, batch loss=0.197945, epoch loss=2.644625
Batch=1079, step=14280, lr=0.140750, batch loss=0.080044, epoch loss=2.724669
Batch=1139, step=14340, lr=0.140500, batch loss=0.127607, epoch loss=2.852276
Batch=1199, step=14400, lr=0.140250, batch loss=0.087109, epoch loss=2.939385
Epoch=11, step=14400, lr=0.140250, epoch loss=2.939385
Batch=59, step=14460, lr=0.140000, batch loss=0.102013, epoch loss=0.102013
Batch=119, step=14520, lr=0.139750, batch loss=0.100622, epoch loss=0.202635
Batch=179, step=14580, lr=0.139500, batch loss=0.098461, epoch loss=0.301096
Batch=239, step=14640, lr=0.139250, batch loss=0.142473, epoch loss=0.443569
Batch=299, step=14700, lr=0.139000, batch loss=0.088131, epoch loss=0.531700
Batch=359, step=14760, lr=0.138500, batch loss=0.146920, epoch loss=0.678620
Batch=419, step=14820, lr=0.138500, batch loss=0.209454, epoch loss=0.888074
Batch=479, step=14880, lr=0.138250, batch loss=0.090651, epoch loss=0.978725
Batch=539, step=14940, lr=0.138000, batch loss=0.073511, epoch loss=1.052235
Batch=599, step=15000, lr=0.137750, batch loss=0.099841, epoch loss=1.152076
Batch=659, step=15060, lr=0.137500, batch loss=0.129223, epoch loss=1.281298
Batch=719, step=15120, lr=0.137250, batch loss=0.129821, epoch loss=1.411119
Batch=779, step=15180, lr=0.137000, batch loss=0.152452, epoch loss=1.563571
Batch=839, step=15240, lr=0.136750, batch loss=0.146158, epoch loss=1.709729
Batch=899, step=15300, lr=0.136500, batch loss=0.140964, epoch loss=1.850692
Batch=959, step=15360, lr=0.136250, batch loss=0.099386, epoch loss=1.950079
Batch=1019, step=15420, lr=0.136000, batch loss=0.194514, epoch loss=2.144593
Batch=1079, step=15480, lr=0.135750, batch loss=0.036057, epoch loss=2.180650
Batch=1139, step=15540, lr=0.135500, batch loss=0.089015, epoch loss=2.269665
Batch=1199, step=15600, lr=0.135250, batch loss=0.055120, epoch loss=2.324785
Epoch=12, step=15600, lr=0.135250, epoch loss=2.324785
Batch=59, step=15660, lr=0.135000, batch loss=0.086096, epoch loss=0.086096
Batch=119, step=15720, lr=0.134750, batch loss=0.149526, epoch loss=0.235622
Batch=179, step=15780, lr=0.134500, batch loss=0.100474, epoch loss=0.336095
Batch=239, step=15840, lr=0.134250, batch loss=0.097846, epoch loss=0.433941
Batch=299, step=15900, lr=0.133750, batch loss=0.043108, epoch loss=0.477049
Batch=359, step=15960, lr=0.133750, batch loss=0.080462, epoch loss=0.557511
Batch=419, step=16020, lr=0.133500, batch loss=0.079959, epoch loss=0.637470
Batch=479, step=16080, lr=0.133250, batch loss=0.067334, epoch loss=0.704804
Batch=539, step=16140, lr=0.133000, batch loss=0.054339, epoch loss=0.759143
Batch=599, step=16200, lr=0.132750, batch loss=0.102979, epoch loss=0.862121
Batch=659, step=16260, lr=0.132500, batch loss=0.076799, epoch loss=0.938920
Batch=719, step=16320, lr=0.132250, batch loss=0.085281, epoch loss=1.024201
Batch=779, step=16380, lr=0.132000, batch loss=0.098347, epoch loss=1.122548
Batch=839, step=16440, lr=0.131750, batch loss=0.119081, epoch loss=1.241629
Batch=899, step=16500, lr=0.131500, batch loss=0.161970, epoch loss=1.403599
Batch=959, step=16560, lr=0.131250, batch loss=0.040519, epoch loss=1.444118
Batch=1019, step=16620, lr=0.130750, batch loss=0.106021, epoch loss=1.550139
Batch=1079, step=16680, lr=0.130500, batch loss=0.027542, epoch loss=1.577681
Batch=1139, step=16740, lr=0.130500, batch loss=0.057332, epoch loss=1.635013
Batch=1199, step=16800, lr=0.130250, batch loss=0.029983, epoch loss=1.664997
Epoch=13, step=16800, lr=0.130250, epoch loss=1.664997
Batch=59, step=16860, lr=0.130000, batch loss=0.038211, epoch loss=0.038211
Batch=119, step=16920, lr=0.129750, batch loss=0.053178, epoch loss=0.091390
Batch=179, step=16980, lr=0.129500, batch loss=0.049900, epoch loss=0.141290
Batch=239, step=17040, lr=0.129250, batch loss=0.067537, epoch loss=0.208827
Batch=299, step=17100, lr=0.129000, batch loss=0.031280, epoch loss=0.240107
Batch=359, step=17160, lr=0.128750, batch loss=0.048397, epoch loss=0.288504
Batch=419, step=17220, lr=0.128500, batch loss=0.074866, epoch loss=0.363370
Batch=479, step=17280, lr=0.128250, batch loss=0.021440, epoch loss=0.384811
Batch=539, step=17340, lr=0.128000, batch loss=0.027933, epoch loss=0.412744
Batch=599, step=17400, lr=0.127750, batch loss=0.033817, epoch loss=0.446561
Batch=659, step=17460, lr=0.127500, batch loss=0.044137, epoch loss=0.490697
Batch=719, step=17520, lr=0.127250, batch loss=0.037981, epoch loss=0.528678
Batch=779, step=17580, lr=0.127000, batch loss=0.037808, epoch loss=0.566486
Batch=839, step=17640, lr=0.126750, batch loss=0.054054, epoch loss=0.620540
Batch=899, step=17700, lr=0.126500, batch loss=0.053227, epoch loss=0.673767
Batch=959, step=17760, lr=0.126250, batch loss=0.043214, epoch loss=0.716982
Batch=1019, step=17820, lr=0.126000, batch loss=0.111711, epoch loss=0.828693
Batch=1079, step=17880, lr=0.125750, batch loss=0.029883, epoch loss=0.858576
Batch=1139, step=17940, lr=0.125500, batch loss=0.053718, epoch loss=0.912294
Batch=1199, step=18000, lr=0.125250, batch loss=0.021495, epoch loss=0.933789
Epoch=14, step=18000, lr=0.125250, epoch loss=0.933789
Batch=59, step=18060, lr=0.125000, batch loss=0.012112, epoch loss=0.012112
Batch=119, step=18120, lr=0.124750, batch loss=0.019410, epoch loss=0.031522
Batch=179, step=18180, lr=0.124500, batch loss=0.029212, epoch loss=0.060734
Batch=239, step=18240, lr=0.124250, batch loss=0.032647, epoch loss=0.093381
Batch=299, step=18300, lr=0.124000, batch loss=0.016571, epoch loss=0.109953
Batch=359, step=18360, lr=0.123750, batch loss=0.043895, epoch loss=0.153848
Batch=419, step=18420, lr=0.123500, batch loss=0.030777, epoch loss=0.184625
Batch=479, step=18480, lr=0.123250, batch loss=0.012146, epoch loss=0.196772
Batch=539, step=18540, lr=0.123000, batch loss=0.024633, epoch loss=0.221404
Batch=599, step=18600, lr=0.122750, batch loss=0.037198, epoch loss=0.258603
Batch=659, step=18660, lr=0.122500, batch loss=0.025524, epoch loss=0.284127
Batch=719, step=18720, lr=0.122250, batch loss=0.033693, epoch loss=0.317820
Batch=779, step=18780, lr=0.122000, batch loss=0.082940, epoch loss=0.400760
Batch=839, step=18840, lr=0.121750, batch loss=0.045484, epoch loss=0.446244
Batch=899, step=18900, lr=0.121500, batch loss=0.046388, epoch loss=0.492632
Batch=959, step=18960, lr=0.121250, batch loss=0.013951, epoch loss=0.506583
Batch=1019, step=19020, lr=0.121000, batch loss=0.023546, epoch loss=0.530129
Batch=1079, step=19080, lr=0.120750, batch loss=0.009102, epoch loss=0.539231
Batch=1139, step=19140, lr=0.120500, batch loss=0.023017, epoch loss=0.562247
Batch=1199, step=19200, lr=0.120250, batch loss=0.008728, epoch loss=0.570975
Epoch=15, step=19200, lr=0.120250, epoch loss=0.570975
Batch=59, step=19260, lr=0.120000, batch loss=0.004336, epoch loss=0.004336
Batch=119, step=19320, lr=0.119750, batch loss=0.013046, epoch loss=0.017382
Batch=179, step=19380, lr=0.119500, batch loss=0.029254, epoch loss=0.046636
Batch=239, step=19440, lr=0.119250, batch loss=0.024384, epoch loss=0.071020
Batch=299, step=19500, lr=0.119000, batch loss=0.011587, epoch loss=0.082607
Batch=359, step=19560, lr=0.118750, batch loss=0.017001, epoch loss=0.099608
Batch=419, step=19620, lr=0.118500, batch loss=0.020342, epoch loss=0.119950
Batch=479, step=19680, lr=0.118250, batch loss=0.007793, epoch loss=0.127743
Batch=539, step=19740, lr=0.118000, batch loss=0.017112, epoch loss=0.144855
Batch=599, step=19800, lr=0.117750, batch loss=0.023144, epoch loss=0.167999
Batch=659, step=19860, lr=0.117500, batch loss=0.017978, epoch loss=0.185977
Batch=719, step=19920, lr=0.117250, batch loss=0.050936, epoch loss=0.236914
Batch=779, step=19980, lr=0.117000, batch loss=0.075962, epoch loss=0.312876
Batch=839, step=20040, lr=0.116750, batch loss=0.030792, epoch loss=0.343669
Batch=899, step=20100, lr=0.116500, batch loss=0.029322, epoch loss=0.372991
Batch=959, step=20160, lr=0.116250, batch loss=0.015159, epoch loss=0.388150
Batch=1019, step=20220, lr=0.116000, batch loss=0.019579, epoch loss=0.407729
Batch=1079, step=20280, lr=0.115750, batch loss=0.004853, epoch loss=0.412582
Batch=1139, step=20340, lr=0.115500, batch loss=0.018815, epoch loss=0.431397
Batch=1199, step=20400, lr=0.115250, batch loss=0.006756, epoch loss=0.438153
Epoch=16, step=20400, lr=0.115250, epoch loss=0.438153
Batch=59, step=20460, lr=0.115000, batch loss=0.002962, epoch loss=0.002962
Batch=119, step=20520, lr=0.114750, batch loss=0.010739, epoch loss=0.013701
Batch=179, step=20580, lr=0.114500, batch loss=0.025435, epoch loss=0.039136
Batch=239, step=20640, lr=0.114250, batch loss=0.015566, epoch loss=0.054702
Batch=299, step=20700, lr=0.114000, batch loss=0.005112, epoch loss=0.059813
Batch=359, step=20760, lr=0.113750, batch loss=0.014064, epoch loss=0.073877
Batch=419, step=20820, lr=0.113500, batch loss=0.015334, epoch loss=0.089211
Batch=479, step=20880, lr=0.113250, batch loss=0.005968, epoch loss=0.095179
Batch=539, step=20940, lr=0.113000, batch loss=0.016180, epoch loss=0.111359
Batch=599, step=21000, lr=0.112750, batch loss=0.018524, epoch loss=0.129883
Batch=659, step=21060, lr=0.112500, batch loss=0.014169, epoch loss=0.144052
Batch=719, step=21120, lr=0.112250, batch loss=0.043727, epoch loss=0.187779
Batch=779, step=21180, lr=0.112000, batch loss=0.065154, epoch loss=0.252933
Batch=839, step=21240, lr=0.111750, batch loss=0.024392, epoch loss=0.277326
Batch=899, step=21300, lr=0.111500, batch loss=0.033164, epoch loss=0.310489
Batch=959, step=21360, lr=0.111250, batch loss=0.011649, epoch loss=0.322138
Batch=1019, step=21420, lr=0.111000, batch loss=0.014850, epoch loss=0.336988
Batch=1079, step=21480, lr=0.110750, batch loss=0.000136, epoch loss=0.337124
Batch=1139, step=21540, lr=0.110500, batch loss=0.012335, epoch loss=0.349459
Batch=1199, step=21600, lr=0.110250, batch loss=0.005257, epoch loss=0.354716
Epoch=17, step=21600, lr=0.110250, epoch loss=0.354716
Batch=59, step=21660, lr=0.110000, batch loss=0.001976, epoch loss=0.001976
Batch=119, step=21720, lr=0.109750, batch loss=0.007142, epoch loss=0.009117
Batch=179, step=21780, lr=0.109500, batch loss=0.012249, epoch loss=0.021366
Batch=239, step=21840, lr=0.109250, batch loss=0.010098, epoch loss=0.031464
Batch=299, step=21900, lr=0.109000, batch loss=0.011527, epoch loss=0.042990
Batch=359, step=21960, lr=0.108750, batch loss=0.013597, epoch loss=0.056587
Batch=419, step=22020, lr=0.108500, batch loss=0.013056, epoch loss=0.069643
Batch=479, step=22080, lr=0.108250, batch loss=0.003948, epoch loss=0.073591
Batch=539, step=22140, lr=0.108000, batch loss=0.014918, epoch loss=0.088510
Batch=599, step=22200, lr=0.107750, batch loss=0.016172, epoch loss=0.104682
Batch=659, step=22260, lr=0.107500, batch loss=0.012573, epoch loss=0.117255
Batch=719, step=22320, lr=0.107250, batch loss=0.023085, epoch loss=0.140340
Batch=779, step=22380, lr=0.107000, batch loss=0.048093, epoch loss=0.188433
Batch=839, step=22440, lr=0.106750, batch loss=0.021749, epoch loss=0.210182
Batch=899, step=22500, lr=0.106500, batch loss=0.023013, epoch loss=0.233196
Batch=959, step=22560, lr=0.106250, batch loss=0.010266, epoch loss=0.243461
Batch=1019, step=22620, lr=0.106000, batch loss=0.009999, epoch loss=0.253461
Batch=1079, step=22680, lr=0.105750, batch loss=0.000403, epoch loss=0.253864
Batch=1139, step=22740, lr=0.105500, batch loss=0.010325, epoch loss=0.264189
Batch=1199, step=22800, lr=0.105250, batch loss=0.004686, epoch loss=0.268875
Epoch=18, step=22800, lr=0.105250, epoch loss=0.268875
Batch=59, step=22860, lr=0.105000, batch loss=0.001499, epoch loss=0.001499
Batch=119, step=22920, lr=0.104750, batch loss=0.006038, epoch loss=0.007537
Batch=179, step=22980, lr=0.104500, batch loss=0.010091, epoch loss=0.017628
Batch=239, step=23040, lr=0.104250, batch loss=0.009821, epoch loss=0.027449
Batch=299, step=23100, lr=0.104000, batch loss=0.001930, epoch loss=0.029379
Batch=359, step=23160, lr=0.103750, batch loss=0.010587, epoch loss=0.039966
Batch=419, step=23220, lr=0.103500, batch loss=0.010690, epoch loss=0.050657
Batch=479, step=23280, lr=0.103250, batch loss=0.002148, epoch loss=0.052805
Batch=539, step=23340, lr=0.103000, batch loss=0.016501, epoch loss=0.069306
Batch=599, step=23400, lr=0.102750, batch loss=0.013340, epoch loss=0.082646
Batch=659, step=23460, lr=0.102500, batch loss=0.010983, epoch loss=0.093629
Batch=719, step=23520, lr=0.102250, batch loss=0.013374, epoch loss=0.107003
Batch=779, step=23580, lr=0.102000, batch loss=0.022499, epoch loss=0.129502
Batch=839, step=23640, lr=0.101750, batch loss=0.025538, epoch loss=0.155040
Batch=899, step=23700, lr=0.101500, batch loss=0.023243, epoch loss=0.178283
Batch=959, step=23760, lr=0.101250, batch loss=0.008099, epoch loss=0.186381
Batch=1019, step=23820, lr=0.101000, batch loss=0.008447, epoch loss=0.194829
Batch=1079, step=23880, lr=0.100750, batch loss=0.001394, epoch loss=0.196223
Batch=1139, step=23940, lr=0.100500, batch loss=0.009368, epoch loss=0.205591
Batch=1199, step=24000, lr=0.100250, batch loss=0.004945, epoch loss=0.210536
Epoch=19, step=24000, lr=0.100250, epoch loss=0.210536


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 15:33.12 ---> saved as "fc209f888770960864705337f349163810809bfa90866f3183ba38c32e5ef6b8"
Job succeeded
2025-03-21 15:33.13: Job succeeded