debian-12-5.2_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-12-5.2_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71
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-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71
# debian-12-5.2_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-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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 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-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71-debian-12-5.2_opam-2.3-4e36d8eccab8591c75feb438f41429c5"
2025-03-20 22:29.24: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
(comment debian-12-5.2_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-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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 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 22:32.55: 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-12-ocaml-5.2@sha256:89ec63b50b2a5b473e2ee6ac01bf5fc8513ec4fc85f485bbee7ea4ce1c250e71)
2025-03-20 22:32.57 ---> using "38896d45c132e80618e0ea619c3f1eaa7c74f33d36affcfd5cb62a4306714da8" from cache


/: (comment debian-12-5.2_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 "3d0e7e63412167c499341f1181b172ea6ec9ca5bf81b7c396cb3e336abf0340f" 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 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
2025-03-20 22:32.57 ---> using "cc601c78ac214415c83b6ec0bc7840029b6ce55de18a34aea04b80f75512f2a5" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.2.1
2.3.0
2025-03-20 22:32.57 ---> using "18f62663459dbff01fb684078274d620563485d9637901154dd6fddd17ab5ffc" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:32.57 ---> using "1f4800f05b74f7563c3437c421c17e1a0e4a5d2253bb31d8c70d9fec1010be7b" 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
a8ed476033..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 "fb0ede5a6901175d2597f7c70aa2212a1aad82bfce33c2dec7de7c3ba52d706b" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:32.57 ---> saved as "f2f5ebcb90fe4d7778d0156232e743d8dbe87e1e3ca2a12d09b4c5932b870185"


/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 22:33.02 ---> saved as "1536b2bf4ebd8d93704b8bcc35a2edf06e6e8f3e640f27ad399435c604c46fa9"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:33.03 ---> saved as "c5aa8a4dae4992cad2d16d181872cb61df57e38fdd7ac420b38540c51ab6f201"


/src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.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.5.2.1 ocaml-base-compiler.5.2.1 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.v0.17.0 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 bookworm InRelease
- 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-security bookworm-security/main amd64 Packages [249 kB]
- Fetched 353 kB in 0s (974 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-base-compiler is already installed (current version is 5.2.1).
[NOTE] Package ocaml is already installed (current version is 5.2.1).
[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-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+deb12u10) ...
2025-03-20 22:33.30 ---> saved as "fb1ddceb16c82d5bfdaf0e6f837342ce85d1b90544d9b35f7da89dad06c10c86"


/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-base-compiler is already installed (current version is 5.2.1).
[NOTE] Package ocaml is already installed (current version is 5.2.1).
[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-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             v0.17.0
- 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 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 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_minidebug.2.1.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.0  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed backoff.0.1.1
-> installed csexp.1.5.2
-> 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 saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> 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.v0.17.0
-> 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_compare.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:35.37 ---> saved as "8720c3d776a3e01524dbb3b3167035791e3aec306337f0c96114766155f1dcdc"


/src: (copy (src .) (dst /src))
2025-03-20 22:35.37 ---> saved as "4a94e966b825acab9015cfc34a2a07032804694ea2db116e633d3643f7714ff6"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/6670bc10bf8fe8f29fd48e74202ede12/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5786a66c4394c556eeb4f4e33b0db1e6/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/5786a66c4394c556eeb4f4e33b0db1e6/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=0.199500, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.621123, epoch loss=34.770210
Batch=239, step=240, lr=0.199250, batch loss=0.845226, epoch loss=35.615435
Batch=299, step=300, lr=0.199000, batch loss=1.458357, epoch loss=37.073792
Batch=359, step=360, lr=0.198750, batch loss=1.325710, epoch loss=38.399502
Batch=419, step=420, lr=0.198500, batch loss=0.622274, epoch loss=39.021777
Batch=479, step=480, lr=0.198250, batch loss=0.816239, epoch loss=39.838015
Batch=539, step=540, lr=0.197750, batch loss=0.700244, epoch loss=40.538260
Batch=599, step=600, lr=0.197750, batch loss=1.069273, epoch loss=41.607533
Batch=659, step=660, lr=0.197500, batch loss=0.483433, epoch loss=42.090966
Batch=719, step=720, lr=0.197250, batch loss=0.411606, epoch loss=42.502571
Batch=779, step=780, lr=0.196750, batch loss=0.469605, epoch loss=42.972177
Batch=839, step=840, lr=0.196500, batch loss=0.444003, epoch loss=43.416180
Batch=899, step=900, lr=0.196500, batch loss=0.384327, epoch loss=43.800508
Batch=959, step=960, lr=0.196000, batch loss=0.238115, epoch loss=44.038623
Batch=1019, step=1020, lr=0.196000, batch loss=0.440646, epoch loss=44.479269
Batch=1079, step=1080, lr=0.195750, batch loss=0.225582, epoch loss=44.704851
Batch=1139, step=1140, lr=0.195250, batch loss=0.315757, epoch loss=45.020608
Batch=1199, step=1200, lr=0.195000, batch loss=0.263480, epoch loss=45.284087
Epoch=0, step=1200, lr=0.195000, epoch loss=45.284087
Batch=59, step=1260, lr=0.195000, batch loss=0.262367, epoch loss=0.262367
Batch=119, step=1320, lr=0.194750, batch loss=0.205678, epoch loss=0.468045
Batch=179, step=1380, lr=0.194500, batch loss=0.242562, epoch loss=0.710607
Batch=239, step=1440, lr=0.194250, batch loss=0.347411, epoch loss=1.058018
Batch=299, step=1500, lr=0.193750, batch loss=0.253273, epoch loss=1.311291
Batch=359, step=1560, lr=0.193750, batch loss=0.318762, epoch loss=1.630052
Batch=419, step=1620, lr=0.193250, batch loss=0.311750, epoch loss=1.941802
Batch=479, step=1680, lr=0.193000, batch loss=0.277554, epoch loss=2.219356
Batch=539, step=1740, lr=0.192750, batch loss=0.214888, epoch loss=2.434244
Batch=599, step=1800, lr=0.192500, batch loss=0.258705, epoch loss=2.692949
Batch=659, step=1860, lr=0.192250, batch loss=0.378294, epoch loss=3.071243
Batch=719, step=1920, lr=0.192000, batch loss=0.356592, epoch loss=3.427835
Batch=779, step=1980, lr=0.191750, batch loss=0.382883, epoch loss=3.810718
Batch=839, step=2040, lr=0.191750, batch loss=0.340889, epoch loss=4.151607
Batch=899, step=2100, lr=0.191250, batch loss=0.295025, epoch loss=4.446632
Batch=959, step=2160, lr=0.191250, batch loss=0.225634, epoch loss=4.672266
Batch=1019, step=2220, lr=0.191000, batch loss=0.322844, epoch loss=4.995110
Batch=1079, step=2280, lr=0.190500, batch loss=0.205484, epoch loss=5.200594
Batch=1139, step=2340, lr=0.190500, batch loss=0.275080, epoch loss=5.475674
Batch=1199, step=2400, lr=0.190250, batch loss=0.222586, epoch loss=5.698261
Epoch=1, step=2400, lr=0.190250, epoch loss=5.698261
Batch=59, step=2460, lr=0.190000, batch loss=0.233652, epoch loss=0.233652
Batch=119, step=2520, lr=0.189750, batch loss=0.193607, epoch loss=0.427260
Batch=179, step=2580, lr=0.189500, batch loss=0.221249, epoch loss=0.648508
Batch=239, step=2640, lr=0.189000, batch loss=0.326856, epoch loss=0.975364
Batch=299, step=2700, lr=0.189000, batch loss=0.203182, epoch loss=1.178547
Batch=359, step=2760, lr=0.188750, batch loss=0.288149, epoch loss=1.466696
Batch=419, step=2820, lr=0.188500, batch loss=0.279510, epoch loss=1.746205
Batch=479, step=2880, lr=0.188000, batch loss=0.251560, epoch loss=1.997766
Batch=539, step=2940, lr=0.188000, batch loss=0.195972, epoch loss=2.193738
Batch=599, step=3000, lr=0.187500, batch loss=0.241554, epoch loss=2.435291
Batch=659, step=3060, lr=0.187500, batch loss=0.346218, epoch loss=2.781510
Batch=719, step=3120, lr=0.187000, batch loss=0.346321, epoch loss=3.127831
Batch=779, step=3180, lr=0.186750, batch loss=0.363881, epoch loss=3.491712
Batch=839, step=3240, lr=0.186500, batch loss=0.322773, epoch loss=3.814485
Batch=899, step=3300, lr=0.186250, batch loss=0.288028, epoch loss=4.102514
Batch=959, step=3360, lr=0.186000, batch loss=0.222893, epoch loss=4.325407
Batch=1019, step=3420, lr=0.185750, batch loss=0.351635, epoch loss=4.677042
Batch=1079, step=3480, lr=0.185500, batch loss=0.217584, epoch loss=4.894626
Batch=1139, step=3540, lr=0.185250, batch loss=0.265648, epoch loss=5.160273
Batch=1199, step=3600, lr=0.185000, batch loss=0.199261, epoch loss=5.359534
Epoch=2, step=3600, lr=0.185000, epoch loss=5.359534
Batch=59, step=3660, lr=0.184750, batch loss=0.225371, epoch loss=0.225371
Batch=119, step=3720, lr=0.184500, batch loss=0.188604, epoch loss=0.413975
Batch=179, step=3780, lr=0.184250, batch loss=0.212421, epoch loss=0.626396
Batch=239, step=3840, lr=0.184000, batch loss=0.315852, epoch loss=0.942248
Batch=299, step=3900, lr=0.183750, batch loss=0.203816, epoch loss=1.146063
Batch=359, step=3960, lr=0.183500, batch loss=0.291671, epoch loss=1.437734
Batch=419, step=4020, lr=0.183500, batch loss=0.304159, epoch loss=1.741893
Batch=479, step=4080, lr=0.183000, batch loss=0.254388, epoch loss=1.996281
Batch=539, step=4140, lr=0.182750, batch loss=0.200415, epoch loss=2.196696
Batch=599, step=4200, lr=0.182500, batch loss=0.242176, epoch loss=2.438871
Batch=659, step=4260, lr=0.182500, batch loss=0.328756, epoch loss=2.767627
Batch=719, step=4320, lr=0.182000, batch loss=0.328668, epoch loss=3.096295
Batch=779, step=4380, lr=0.181750, batch loss=0.352460, epoch loss=3.448755
Batch=839, step=4440, lr=0.181500, batch loss=0.318301, epoch loss=3.767056
Batch=899, step=4500, lr=0.181250, batch loss=0.293761, epoch loss=4.060817
Batch=959, step=4560, lr=0.181250, batch loss=0.240337, epoch loss=4.301154
Batch=1019, step=4620, lr=0.180750, batch loss=0.329059, epoch loss=4.630214
Batch=1079, step=4680, lr=0.180500, batch loss=0.196869, epoch loss=4.827082
Batch=1139, step=4740, lr=0.180250, batch loss=0.227513, epoch loss=5.054595
Batch=1199, step=4800, lr=0.180000, batch loss=0.193443, epoch loss=5.248038
Epoch=3, step=4800, lr=0.180000, epoch loss=5.248038
Batch=59, step=4860, lr=0.179750, batch loss=0.232883, epoch loss=0.232883
Batch=119, step=4920, lr=0.179500, batch loss=0.192601, epoch loss=0.425484
Batch=179, step=4980, lr=0.179250, batch loss=0.206891, epoch loss=0.632375
Batch=239, step=5040, lr=0.179000, batch loss=0.309120, epoch loss=0.941495
Batch=299, step=5100, lr=0.178750, batch loss=0.205934, epoch loss=1.147429
Batch=359, step=5160, lr=0.178500, batch loss=0.270894, epoch loss=1.418324
Batch=419, step=5220, lr=0.178250, batch loss=0.265053, epoch loss=1.683377
Batch=479, step=5280, lr=0.178000, batch loss=0.239960, epoch loss=1.923336
Batch=539, step=5340, lr=0.177750, batch loss=0.190819, epoch loss=2.114155
Batch=599, step=5400, lr=0.177500, batch loss=0.230464, epoch loss=2.344620
Batch=659, step=5460, lr=0.177250, batch loss=0.324418, epoch loss=2.669038
Batch=719, step=5520, lr=0.177000, batch loss=0.325289, epoch loss=2.994327
Batch=779, step=5580, lr=0.177000, batch loss=0.338920, epoch loss=3.333246
Batch=839, step=5640, lr=0.176500, batch loss=0.313707, epoch loss=3.646953
Batch=899, step=5700, lr=0.176250, batch loss=0.278613, epoch loss=3.925567
Batch=959, step=5760, lr=0.176000, batch loss=0.219094, epoch loss=4.144660
Batch=1019, step=5820, lr=0.175750, batch loss=0.332371, epoch loss=4.477031
Batch=1079, step=5880, lr=0.175500, batch loss=0.197207, epoch loss=4.674238
Batch=1139, step=5940, lr=0.175250, batch loss=0.231669, epoch loss=4.905907
Batch=1199, step=6000, lr=0.175000, batch loss=0.185373, epoch loss=5.091280
Epoch=4, step=6000, lr=0.175000, epoch loss=5.091280
Batch=59, step=6060, lr=0.174750, batch loss=0.220171, epoch loss=0.220171
Batch=119, step=6120, lr=0.174500, batch loss=0.186926, epoch loss=0.407097
Batch=179, step=6180, lr=0.174500, batch loss=0.201779, epoch loss=0.608876
Batch=239, step=6240, lr=0.174000, batch loss=0.303172, epoch loss=0.912048
Batch=299, step=6300, lr=0.174000, batch loss=0.210933, epoch loss=1.122981
Batch=359, step=6360, lr=0.173750, batch loss=0.274207, epoch loss=1.397188
Batch=419, step=6420, lr=0.173500, batch loss=0.266198, epoch loss=1.663386
Batch=479, step=6480, lr=0.173250, batch loss=0.242826, epoch loss=1.906212
Batch=539, step=6540, lr=0.172750, batch loss=0.193241, epoch loss=2.099453
Batch=599, step=6600, lr=0.172500, batch loss=0.233610, epoch loss=2.333063
Batch=659, step=6660, lr=0.172250, batch loss=0.312986, epoch loss=2.646050
Batch=719, step=6720, lr=0.172250, batch loss=0.314707, epoch loss=2.960756
Batch=779, step=6780, lr=0.172000, batch loss=0.334176, epoch loss=3.294932
Batch=839, step=6840, lr=0.171750, batch loss=0.303792, epoch loss=3.598724
Batch=899, step=6900, lr=0.171500, batch loss=0.269311, epoch loss=3.868035
Batch=959, step=6960, lr=0.171250, batch loss=0.210559, epoch loss=4.078594
Batch=1019, step=7020, lr=0.171000, batch loss=0.326497, epoch loss=4.405091
Batch=1079, step=7080, lr=0.170750, batch loss=0.174705, epoch loss=4.579795
Batch=1139, step=7140, lr=0.170500, batch loss=0.213203, epoch loss=4.792999
Batch=1199, step=7200, lr=0.170250, batch loss=0.195912, epoch loss=4.988911
Epoch=5, step=7200, lr=0.170250, epoch loss=4.988911
Batch=59, step=7260, lr=0.170000, batch loss=0.238081, epoch loss=0.238081
Batch=119, step=7320, lr=0.169500, batch loss=0.181207, epoch loss=0.419288
Batch=179, step=7380, lr=0.169500, batch loss=0.195568, epoch loss=0.614856
Batch=239, step=7440, lr=0.169250, batch loss=0.290705, epoch loss=0.905561
Batch=299, step=7500, lr=0.169000, batch loss=0.209604, epoch loss=1.115165
Batch=359, step=7560, lr=0.168750, batch loss=0.262737, epoch loss=1.377902
Batch=419, step=7620, lr=0.168500, batch loss=0.255897, epoch loss=1.633799
Batch=479, step=7680, lr=0.168250, batch loss=0.238228, epoch loss=1.872028
Batch=539, step=7740, lr=0.168000, batch loss=0.187002, epoch loss=2.059029
Batch=599, step=7800, lr=0.167750, batch loss=0.224204, epoch loss=2.283234
Batch=659, step=7860, lr=0.167500, batch loss=0.305861, epoch loss=2.589095
Batch=719, step=7920, lr=0.167250, batch loss=0.308427, epoch loss=2.897522
Batch=779, step=7980, lr=0.167000, batch loss=0.321238, epoch loss=3.218760
Batch=839, step=8040, lr=0.166750, batch loss=0.297504, epoch loss=3.516263
Batch=899, step=8100, lr=0.166500, batch loss=0.259029, epoch loss=3.775293
Batch=959, step=8160, lr=0.166250, batch loss=0.208634, epoch loss=3.983927
Batch=1019, step=8220, lr=0.165750, batch loss=0.320426, epoch loss=4.304353
Batch=1079, step=8280, lr=0.165750, batch loss=0.170762, epoch loss=4.475115
Batch=1139, step=8340, lr=0.165500, batch loss=0.207388, epoch loss=4.682503
Batch=1199, step=8400, lr=0.165250, batch loss=0.179737, epoch loss=4.862240
Epoch=6, step=8400, lr=0.165250, epoch loss=4.862240
Batch=59, step=8460, lr=0.164750, batch loss=0.228733, epoch loss=0.228733
Batch=119, step=8520, lr=0.164500, batch loss=0.175752, epoch loss=0.404485
Batch=179, step=8580, lr=0.164250, batch loss=0.188173, epoch loss=0.592657
Batch=239, step=8640, lr=0.164000, batch loss=0.278046, epoch loss=0.870703
Batch=299, step=8700, lr=0.164000, batch loss=0.190610, epoch loss=1.061314
Batch=359, step=8760, lr=0.163750, batch loss=0.250870, epoch loss=1.312183
Batch=419, step=8820, lr=0.163250, batch loss=0.244745, epoch loss=1.556929
Batch=479, step=8880, lr=0.163000, batch loss=0.228201, epoch loss=1.785129
Batch=539, step=8940, lr=0.163000, batch loss=0.180186, epoch loss=1.965316
Batch=599, step=9000, lr=0.162750, batch loss=0.217476, epoch loss=2.182792
Batch=659, step=9060, lr=0.162500, batch loss=0.293713, epoch loss=2.476505
Batch=719, step=9120, lr=0.162250, batch loss=0.296223, epoch loss=2.772728
Batch=779, step=9180, lr=0.162000, batch loss=0.314865, epoch loss=3.087593
Batch=839, step=9240, lr=0.161750, batch loss=0.282234, epoch loss=3.369827
Batch=899, step=9300, lr=0.161500, batch loss=0.252774, epoch loss=3.622601
Batch=959, step=9360, lr=0.161250, batch loss=0.187353, epoch loss=3.809954
Batch=1019, step=9420, lr=0.161000, batch loss=0.320599, epoch loss=4.130553
Batch=1079, step=9480, lr=0.160750, batch loss=0.197414, epoch loss=4.327967
Batch=1139, step=9540, lr=0.160500, batch loss=0.213334, epoch loss=4.541301
Batch=1199, step=9600, lr=0.160250, batch loss=0.168462, epoch loss=4.709763
Epoch=7, step=9600, lr=0.160250, epoch loss=4.709763
Batch=59, step=9660, lr=0.160000, batch loss=0.199379, epoch loss=0.199379
Batch=119, step=9720, lr=0.159750, batch loss=0.164783, epoch loss=0.364161
Batch=179, step=9780, lr=0.159250, batch loss=0.179294, epoch loss=0.543456
Batch=239, step=9840, lr=0.159000, batch loss=0.262862, epoch loss=0.806318
Batch=299, step=9900, lr=0.159000, batch loss=0.183551, epoch loss=0.989869
Batch=359, step=9960, lr=0.158750, batch loss=0.240930, epoch loss=1.230800
Batch=419, step=10020, lr=0.158250, batch loss=0.233684, epoch loss=1.464484
Batch=479, step=10080, lr=0.158000, batch loss=0.214742, epoch loss=1.679226
Batch=539, step=10140, lr=0.158000, batch loss=0.171971, epoch loss=1.851197
Batch=599, step=10200, lr=0.157750, batch loss=0.202949, epoch loss=2.054146
Batch=659, step=10260, lr=0.157500, batch loss=0.282288, epoch loss=2.336434
Batch=719, step=10320, lr=0.157250, batch loss=0.285563, epoch loss=2.621996
Batch=779, step=10380, lr=0.156750, batch loss=0.295759, epoch loss=2.917756
Batch=839, step=10440, lr=0.156500, batch loss=0.267134, epoch loss=3.184890
Batch=899, step=10500, lr=0.156500, batch loss=0.237612, epoch loss=3.422502
Batch=959, step=10560, lr=0.156250, batch loss=0.179128, epoch loss=3.601630
Batch=1019, step=10620, lr=0.155750, batch loss=0.299441, epoch loss=3.901071
Batch=1079, step=10680, lr=0.155500, batch loss=0.176241, epoch loss=4.077312
Batch=1139, step=10740, lr=0.155250, batch loss=0.200625, epoch loss=4.277936
Batch=1199, step=10800, lr=0.155000, batch loss=0.156201, epoch loss=4.434137
Epoch=8, step=10800, lr=0.155000, epoch loss=4.434137
Batch=59, step=10860, lr=0.155000, batch loss=0.178000, epoch loss=0.178000
Batch=119, step=10920, lr=0.154500, batch loss=0.153490, epoch loss=0.331490
Batch=179, step=10980, lr=0.154500, batch loss=0.168537, epoch loss=0.500028
Batch=239, step=11040, lr=0.154250, batch loss=0.247850, epoch loss=0.747878
Batch=299, step=11100, lr=0.154000, batch loss=0.161568, epoch loss=0.909446
Batch=359, step=11160, lr=0.153750, batch loss=0.226945, epoch loss=1.136391
Batch=419, step=11220, lr=0.153500, batch loss=0.228472, epoch loss=1.364863
Batch=479, step=11280, lr=0.153250, batch loss=0.204334, epoch loss=1.569197
Batch=539, step=11340, lr=0.153000, batch loss=0.159628, epoch loss=1.728824
Batch=599, step=11400, lr=0.152750, batch loss=0.181067, epoch loss=1.909891
Batch=659, step=11460, lr=0.152500, batch loss=0.264373, epoch loss=2.174264
Batch=719, step=11520, lr=0.152250, batch loss=0.257237, epoch loss=2.431501
Batch=779, step=11580, lr=0.152000, batch loss=0.272813, epoch loss=2.704314
Batch=839, step=11640, lr=0.151750, batch loss=0.257318, epoch loss=2.961633
Batch=899, step=11700, lr=0.151500, batch loss=0.213776, epoch loss=3.175409
Batch=959, step=11760, lr=0.151250, batch loss=0.171357, epoch loss=3.346766
Batch=1019, step=11820, lr=0.151000, batch loss=0.264679, epoch loss=3.611444
Batch=1079, step=11880, lr=0.150750, batch loss=0.150183, epoch loss=3.761628
Batch=1139, step=11940, lr=0.150500, batch loss=0.188042, epoch loss=3.949670
Batch=1199, step=12000, lr=0.150000, batch loss=0.140351, epoch loss=4.090021
Epoch=9, step=12000, lr=0.150000, epoch loss=4.090021
Batch=59, step=12060, lr=0.149750, batch loss=0.159084, epoch loss=0.159084
Batch=119, step=12120, lr=0.149500, batch loss=0.128292, epoch loss=0.287376
Batch=179, step=12180, lr=0.149250, batch loss=0.152081, epoch loss=0.439457
Batch=239, step=12240, lr=0.149000, batch loss=0.224454, epoch loss=0.663911
Batch=299, step=12300, lr=0.148750, batch loss=0.143318, epoch loss=0.807229
Batch=359, step=12360, lr=0.148500, batch loss=0.197642, epoch loss=1.004871
Batch=419, step=12420, lr=0.148250, batch loss=0.206985, epoch loss=1.211857
Batch=479, step=12480, lr=0.148250, batch loss=0.181394, epoch loss=1.393251
Batch=539, step=12540, lr=0.148000, batch loss=0.143372, epoch loss=1.536622
Batch=599, step=12600, lr=0.147750, batch loss=0.153102, epoch loss=1.689724
Batch=659, step=12660, lr=0.147500, batch loss=0.224881, epoch loss=1.914605
Batch=719, step=12720, lr=0.147250, batch loss=0.237040, epoch loss=2.151645
Batch=779, step=12780, lr=0.147000, batch loss=0.253284, epoch loss=2.404929
Batch=839, step=12840, lr=0.146750, batch loss=0.224686, epoch loss=2.629615
Batch=899, step=12900, lr=0.146500, batch loss=0.188281, epoch loss=2.817895
Batch=959, step=12960, lr=0.146250, batch loss=0.155369, epoch loss=2.973264
Batch=1019, step=13020, lr=0.146000, batch loss=0.263614, epoch loss=3.236879
Batch=1079, step=13080, lr=0.145750, batch loss=0.117850, epoch loss=3.354728
Batch=1139, step=13140, lr=0.145500, batch loss=0.149835, epoch loss=3.504563
Batch=1199, step=13200, lr=0.145250, batch loss=0.118441, epoch loss=3.623005
Epoch=10, step=13200, lr=0.145250, epoch loss=3.623005
Batch=59, step=13260, lr=0.144750, batch loss=0.141338, epoch loss=0.141338
Batch=119, step=13320, lr=0.144750, batch loss=0.123404, epoch loss=0.264743
Batch=179, step=13380, lr=0.144500, batch loss=0.129840, epoch loss=0.394583
Batch=239, step=13440, lr=0.144250, batch loss=0.190795, epoch loss=0.585378
Batch=299, step=13500, lr=0.143750, batch loss=0.116324, epoch loss=0.701701
Batch=359, step=13560, lr=0.143750, batch loss=0.161746, epoch loss=0.863448
Batch=419, step=13620, lr=0.143500, batch loss=0.162284, epoch loss=1.025731
Batch=479, step=13680, lr=0.143250, batch loss=0.149972, epoch loss=1.175704
Batch=539, step=13740, lr=0.143000, batch loss=0.119443, epoch loss=1.295146
Batch=599, step=13800, lr=0.142750, batch loss=0.122253, epoch loss=1.417399
Batch=659, step=13860, lr=0.142500, batch loss=0.178714, epoch loss=1.596113
Batch=719, step=13920, lr=0.142250, batch loss=0.175635, epoch loss=1.771747
Batch=779, step=13980, lr=0.142000, batch loss=0.200224, epoch loss=1.971972
Batch=839, step=14040, lr=0.141750, batch loss=0.189000, epoch loss=2.160972
Batch=899, step=14100, lr=0.141500, batch loss=0.162682, epoch loss=2.323654
Batch=959, step=14160, lr=0.141250, batch loss=0.159573, epoch loss=2.483227
Batch=1019, step=14220, lr=0.141000, batch loss=0.376021, epoch loss=2.859248
Batch=1079, step=14280, lr=0.140750, batch loss=0.069281, epoch loss=2.928529
Batch=1139, step=14340, lr=0.140500, batch loss=0.125556, epoch loss=3.054085
Batch=1199, step=14400, lr=0.140250, batch loss=0.094813, epoch loss=3.148898
Epoch=11, step=14400, lr=0.140250, epoch loss=3.148898
Batch=59, step=14460, lr=0.140000, batch loss=0.114017, epoch loss=0.114017
Batch=119, step=14520, lr=0.139750, batch loss=0.104340, epoch loss=0.218357
Batch=179, step=14580, lr=0.139500, batch loss=0.108391, epoch loss=0.326748
Batch=239, step=14640, lr=0.139250, batch loss=0.145416, epoch loss=0.472164
Batch=299, step=14700, lr=0.139000, batch loss=0.083103, epoch loss=0.555267
Batch=359, step=14760, lr=0.138750, batch loss=0.125957, epoch loss=0.681224
Batch=419, step=14820, lr=0.138500, batch loss=0.131813, epoch loss=0.813037
Batch=479, step=14880, lr=0.138250, batch loss=0.101170, epoch loss=0.914207
Batch=539, step=14940, lr=0.137750, batch loss=0.087777, epoch loss=1.001984
Batch=599, step=15000, lr=0.137500, batch loss=0.088862, epoch loss=1.090846
Batch=659, step=15060, lr=0.137500, batch loss=0.130018, epoch loss=1.220864
Batch=719, step=15120, lr=0.137250, batch loss=0.128312, epoch loss=1.349176
Batch=779, step=15180, lr=0.137000, batch loss=0.150189, epoch loss=1.499365
Batch=839, step=15240, lr=0.136750, batch loss=0.166798, epoch loss=1.666163
Batch=899, step=15300, lr=0.136500, batch loss=0.265553, epoch loss=1.931716
Batch=959, step=15360, lr=0.136250, batch loss=0.068095, epoch loss=1.999811
Batch=1019, step=15420, lr=0.136000, batch loss=0.156805, epoch loss=2.156616
Batch=1079, step=15480, lr=0.135500, batch loss=0.045486, epoch loss=2.202102
Batch=1139, step=15540, lr=0.135500, batch loss=0.106858, epoch loss=2.308961
Batch=1199, step=15600, lr=0.135250, batch loss=0.064321, epoch loss=2.373282
Epoch=12, step=15600, lr=0.135250, epoch loss=2.373282
Batch=59, step=15660, lr=0.135000, batch loss=0.077051, epoch loss=0.077051
Batch=119, step=15720, lr=0.134750, batch loss=0.102136, epoch loss=0.179187
Batch=179, step=15780, lr=0.134500, batch loss=0.089427, epoch loss=0.268614
Batch=239, step=15840, lr=0.134250, batch loss=0.092977, epoch loss=0.361591
Batch=299, step=15900, lr=0.134000, batch loss=0.041358, epoch loss=0.402949
Batch=359, step=15960, lr=0.133750, batch loss=0.082314, epoch loss=0.485263
Batch=419, step=16020, lr=0.133500, batch loss=0.082439, epoch loss=0.567702
Batch=479, step=16080, lr=0.133250, batch loss=0.068187, epoch loss=0.635889
Batch=539, step=16140, lr=0.133000, batch loss=0.056991, epoch loss=0.692880
Batch=599, step=16200, lr=0.132750, batch loss=0.108519, epoch loss=0.801399
Batch=659, step=16260, lr=0.132500, batch loss=0.079341, epoch loss=0.880740
Batch=719, step=16320, lr=0.132250, batch loss=0.086383, epoch loss=0.967123
Batch=779, step=16380, lr=0.132000, batch loss=0.102458, epoch loss=1.069582
Batch=839, step=16440, lr=0.131750, batch loss=0.128381, epoch loss=1.197963
Batch=899, step=16500, lr=0.131500, batch loss=0.158620, epoch loss=1.356583
Batch=959, step=16560, lr=0.131250, batch loss=0.046583, epoch loss=1.403165
Batch=1019, step=16620, lr=0.131000, batch loss=0.118315, epoch loss=1.521481
Batch=1079, step=16680, lr=0.130750, batch loss=0.020467, epoch loss=1.541948
Batch=1139, step=16740, lr=0.130500, batch loss=0.047385, epoch loss=1.589333
Batch=1199, step=16800, lr=0.130250, batch loss=0.026241, epoch loss=1.615574
Epoch=13, step=16800, lr=0.130250, epoch loss=1.615574
Batch=59, step=16860, lr=0.130000, batch loss=0.040649, epoch loss=0.040649
Batch=119, step=16920, lr=0.129750, batch loss=0.068563, epoch loss=0.109212
Batch=179, step=16980, lr=0.129250, batch loss=0.056953, epoch loss=0.166165
Batch=239, step=17040, lr=0.129000, batch loss=0.063149, epoch loss=0.229313
Batch=299, step=17100, lr=0.129000, batch loss=0.027117, epoch loss=0.256430
Batch=359, step=17160, lr=0.128750, batch loss=0.048396, epoch loss=0.304827
Batch=419, step=17220, lr=0.128250, batch loss=0.062645, epoch loss=0.367471
Batch=479, step=17280, lr=0.128250, batch loss=0.025270, epoch loss=0.392741
Batch=539, step=17340, lr=0.128000, batch loss=0.028315, epoch loss=0.421056
Batch=599, step=17400, lr=0.127750, batch loss=0.034666, epoch loss=0.455722
Batch=659, step=17460, lr=0.127500, batch loss=0.048789, epoch loss=0.504511
Batch=719, step=17520, lr=0.127250, batch loss=0.068523, epoch loss=0.573033
Batch=779, step=17580, lr=0.127000, batch loss=0.069894, epoch loss=0.642927
Batch=839, step=17640, lr=0.126750, batch loss=0.128298, epoch loss=0.771225
Batch=899, step=17700, lr=0.126250, batch loss=0.061847, epoch loss=0.833072
Batch=959, step=17760, lr=0.126250, batch loss=0.025837, epoch loss=0.858909
Batch=1019, step=17820, lr=0.126000, batch loss=0.041790, epoch loss=0.900699
Batch=1079, step=17880, lr=0.125750, batch loss=0.022980, epoch loss=0.923679
Batch=1139, step=17940, lr=0.125500, batch loss=0.049385, epoch loss=0.973065
Batch=1199, step=18000, lr=0.125250, batch loss=0.020423, epoch loss=0.993487
Epoch=14, step=18000, lr=0.125250, epoch loss=0.993487
Batch=59, step=18060, lr=0.125000, batch loss=0.012880, epoch loss=0.012880
Batch=119, step=18120, lr=0.124750, batch loss=0.021354, epoch loss=0.034234
Batch=179, step=18180, lr=0.124250, batch loss=0.028670, epoch loss=0.062904
Batch=239, step=18240, lr=0.124250, batch loss=0.036298, epoch loss=0.099202
Batch=299, step=18300, lr=0.124000, batch loss=0.016632, epoch loss=0.115834
Batch=359, step=18360, lr=0.123750, batch loss=0.025083, epoch loss=0.140916
Batch=419, step=18420, lr=0.123500, batch loss=0.032154, epoch loss=0.173071
Batch=479, step=18480, lr=0.123250, batch loss=0.027729, epoch loss=0.200799
Batch=539, step=18540, lr=0.123000, batch loss=0.053166, epoch loss=0.253965
Batch=599, step=18600, lr=0.122750, batch loss=0.027053, epoch loss=0.281019
Batch=659, step=18660, lr=0.122500, batch loss=0.034178, epoch loss=0.315197
Batch=719, step=18720, lr=0.122250, batch loss=0.033354, epoch loss=0.348551
Batch=779, step=18780, lr=0.122000, batch loss=0.082514, epoch loss=0.431065
Batch=839, step=18840, lr=0.121750, batch loss=0.052658, epoch loss=0.483723
Batch=899, step=18900, lr=0.121500, batch loss=0.051188, epoch loss=0.534912
Batch=959, step=18960, lr=0.121250, batch loss=0.015528, epoch loss=0.550439
Batch=1019, step=19020, lr=0.121000, batch loss=0.029167, epoch loss=0.579606
Batch=1079, step=19080, lr=0.120750, batch loss=0.011010, epoch loss=0.590616
Batch=1139, step=19140, lr=0.120500, batch loss=0.023824, epoch loss=0.614440
Batch=1199, step=19200, lr=0.120250, batch loss=0.010192, epoch loss=0.624632
Epoch=15, step=19200, lr=0.120250, epoch loss=0.624632
Batch=59, step=19260, lr=0.120000, batch loss=0.005271, epoch loss=0.005271
Batch=119, step=19320, lr=0.119750, batch loss=0.018876, epoch loss=0.024147
Batch=179, step=19380, lr=0.119500, batch loss=0.046517, epoch loss=0.070665
Batch=239, step=19440, lr=0.119250, batch loss=0.020913, epoch loss=0.091578
Batch=299, step=19500, lr=0.119000, batch loss=0.005296, epoch loss=0.096874
Batch=359, step=19560, lr=0.118750, batch loss=0.016911, epoch loss=0.113785
Batch=419, step=19620, lr=0.118500, batch loss=0.019925, epoch loss=0.133710
Batch=479, step=19680, lr=0.118250, batch loss=0.008898, epoch loss=0.142608
Batch=539, step=19740, lr=0.118000, batch loss=0.018823, epoch loss=0.161431
Batch=599, step=19800, lr=0.117750, batch loss=0.020291, epoch loss=0.181721
Batch=659, step=19860, lr=0.117500, batch loss=0.020150, epoch loss=0.201872
Batch=719, step=19920, lr=0.117250, batch loss=0.022688, epoch loss=0.224560
Batch=779, step=19980, lr=0.117000, batch loss=0.054626, epoch loss=0.279186
Batch=839, step=20040, lr=0.116750, batch loss=0.038856, epoch loss=0.318042
Batch=899, step=20100, lr=0.116500, batch loss=0.049065, epoch loss=0.367107
Batch=959, step=20160, lr=0.116250, batch loss=0.011444, epoch loss=0.378551
Batch=1019, step=20220, lr=0.116000, batch loss=0.012539, epoch loss=0.391090
Batch=1079, step=20280, lr=0.115750, batch loss=0.004629, epoch loss=0.395719
Batch=1139, step=20340, lr=0.115500, batch loss=0.016566, epoch loss=0.412285
Batch=1199, step=20400, lr=0.115250, batch loss=0.006649, epoch loss=0.418934
Epoch=16, step=20400, lr=0.115250, epoch loss=0.418934
Batch=59, step=20460, lr=0.114750, batch loss=0.003103, epoch loss=0.003103
Batch=119, step=20520, lr=0.114750, batch loss=0.011199, epoch loss=0.014302
Batch=179, step=20580, lr=0.114500, batch loss=0.026356, epoch loss=0.040657
Batch=239, step=20640, lr=0.114250, batch loss=0.014862, epoch loss=0.055519
Batch=299, step=20700, lr=0.114000, batch loss=0.004415, epoch loss=0.059934
Batch=359, step=20760, lr=0.113750, batch loss=0.013694, epoch loss=0.073628
Batch=419, step=20820, lr=0.113500, batch loss=0.015100, epoch loss=0.088728
Batch=479, step=20880, lr=0.113000, batch loss=0.005352, epoch loss=0.094080
Batch=539, step=20940, lr=0.112750, batch loss=0.016099, epoch loss=0.110179
Batch=599, step=21000, lr=0.112750, batch loss=0.018904, epoch loss=0.129083
Batch=659, step=21060, lr=0.112500, batch loss=0.015165, epoch loss=0.144248
Batch=719, step=21120, lr=0.112250, batch loss=0.042136, epoch loss=0.186384
Batch=779, step=21180, lr=0.112000, batch loss=0.076342, epoch loss=0.262726
Batch=839, step=21240, lr=0.111750, batch loss=0.026555, epoch loss=0.289281
Batch=899, step=21300, lr=0.111250, batch loss=0.035032, epoch loss=0.324314
Batch=959, step=21360, lr=0.111250, batch loss=0.010047, epoch loss=0.334361
Batch=1019, step=21420, lr=0.111000, batch loss=0.011136, epoch loss=0.345497
Batch=1079, step=21480, lr=0.110750, batch loss=0.000740, epoch loss=0.346237
Batch=1139, step=21540, lr=0.110500, batch loss=0.013325, epoch loss=0.359561
Batch=1199, step=21600, lr=0.110250, batch loss=0.005288, epoch loss=0.364849
Epoch=17, step=21600, lr=0.110250, epoch loss=0.364849
Batch=59, step=21660, lr=0.110000, batch loss=0.002348, epoch loss=0.002348
Batch=119, step=21720, lr=0.109750, batch loss=0.006454, epoch loss=0.008802
Batch=179, step=21780, lr=0.109500, batch loss=0.013032, epoch loss=0.021834
Batch=239, step=21840, lr=0.109250, batch loss=0.010022, epoch loss=0.031856
Batch=299, step=21900, lr=0.109000, batch loss=0.013231, epoch loss=0.045086
Batch=359, step=21960, lr=0.108750, batch loss=0.013177, epoch loss=0.058263
Batch=419, step=22020, lr=0.108500, batch loss=0.012185, epoch loss=0.070448
Batch=479, step=22080, lr=0.108250, batch loss=0.002735, epoch loss=0.073184
Batch=539, step=22140, lr=0.108000, batch loss=0.019140, epoch loss=0.092324
Batch=599, step=22200, lr=0.107750, batch loss=0.016943, epoch loss=0.109267
Batch=659, step=22260, lr=0.107250, batch loss=0.015236, epoch loss=0.124503
Batch=719, step=22320, lr=0.107000, batch loss=0.027343, epoch loss=0.151846
Batch=779, step=22380, lr=0.107000, batch loss=0.036887, epoch loss=0.188734
Batch=839, step=22440, lr=0.106750, batch loss=0.025996, epoch loss=0.214730
Batch=899, step=22500, lr=0.106500, batch loss=0.027814, epoch loss=0.242544
Batch=959, step=22560, lr=0.106250, batch loss=0.008834, epoch loss=0.251378
Batch=1019, step=22620, lr=0.106000, batch loss=0.010257, epoch loss=0.261634
Batch=1079, step=22680, lr=0.105750, batch loss=0.000640, epoch loss=0.262274
Batch=1139, step=22740, lr=0.105500, batch loss=0.010441, epoch loss=0.272715
Batch=1199, step=22800, lr=0.105250, batch loss=0.004534, epoch loss=0.277249
Epoch=18, step=22800, lr=0.105250, epoch loss=0.277249
Batch=59, step=22860, lr=0.105000, batch loss=0.001455, epoch loss=0.001455
Batch=119, step=22920, lr=0.104750, batch loss=0.005543, epoch loss=0.006998
Batch=179, step=22980, lr=0.104500, batch loss=0.011118, epoch loss=0.018116
Batch=239, step=23040, lr=0.104250, batch loss=0.009440, epoch loss=0.027556
Batch=299, step=23100, lr=0.104000, batch loss=0.009273, epoch loss=0.036829
Batch=359, step=23160, lr=0.103750, batch loss=0.012564, epoch loss=0.049393
Batch=419, step=23220, lr=0.103500, batch loss=0.010875, epoch loss=0.060268
Batch=479, step=23280, lr=0.103250, batch loss=0.002606, epoch loss=0.062874
Batch=539, step=23340, lr=0.103000, batch loss=0.016725, epoch loss=0.079599
Batch=599, step=23400, lr=0.102750, batch loss=0.013992, epoch loss=0.093591
Batch=659, step=23460, lr=0.102500, batch loss=0.011512, epoch loss=0.105103
Batch=719, step=23520, lr=0.102250, batch loss=0.012604, epoch loss=0.117707
Batch=779, step=23580, lr=0.102000, batch loss=0.022679, epoch loss=0.140386
Batch=839, step=23640, lr=0.101750, batch loss=0.027761, epoch loss=0.168147
Batch=899, step=23700, lr=0.101500, batch loss=0.022026, epoch loss=0.190173
Batch=959, step=23760, lr=0.101250, batch loss=0.009902, epoch loss=0.200075
Batch=1019, step=23820, lr=0.101000, batch loss=0.008664, epoch loss=0.208739
Batch=1079, step=23880, lr=0.100500, batch loss=0.001373, epoch loss=0.210112
Batch=1139, step=23940, lr=0.100500, batch loss=0.008762, epoch loss=0.218874
Batch=1199, step=24000, lr=0.100250, batch loss=0.004736, epoch loss=0.223610
Epoch=19, step=24000, lr=0.100250, epoch loss=0.223610


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:36.18 ---> saved as "c29c8fb4beff23c970bbe0da2099c20da05c925621d234d96eaf66511f2cf01c"
Job succeeded
2025-03-20 22:36.21: Job succeeded