alpine-3.21-5.3_opam-2.3

2025-05-10 12:34.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (95dddcaeb6be8e792001ef8acd80af8e44d112ac) (linux-x86_64:alpine-3.21-5.3_opam-2.3)
Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 95dddcae
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571
# alpine-3.21-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-05-10 12:34.49: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc"
2025-05-10 12:34.49: Using OBuilder spec:
((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
(comment alpine-3.21-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-05-10 12:34.49: Waiting for resource in pool OCluster
2025-05-10 12:34.49: Waiting for worker…
2025-05-10 12:34.59: Got resource from pool OCluster
Building on doris.caelum.ci.dev
All commits already cached
HEAD is now at 95dddcae Don't fail if ocannl_config not found


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
Unable to find image 'ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571' locally
docker.io/ocaml/opam@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571: Pulling from ocaml/opam
ec0cf0f573f6: Pulling fs layer
ec0cf0f573f6: Verifying Checksum
ec0cf0f573f6: Download complete
ec0cf0f573f6: Pull complete
Digest: sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571
Status: Downloaded newer image for ocaml/opam@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571
2025-05-10 12:35.00 ---> using "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962" from cache


/: (comment alpine-3.21-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-10 12:35.00 ---> saved as "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f"


/src: (run (shell "opam init --reinit -ni"))
Configuring from /home/opam/.opamrc and then from built-in defaults.
Checking for available remotes: rsync and local, git.
- you won't be able to use mercurial repositories unless you install the hg command on your system.
- you won't be able to use darcs repositories unless you install the darcs command on your system.


This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted.
You may want to back it up before going further.


Continue? [y/n] y
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-10 12:35.33 ---> saved as "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936"


/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
2025-05-10 12:35.33 ---> saved as "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-10 12:35.33 ---> saved as "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db"


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


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[default] synchronised from git+file:///home/opam/opam-repository


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-05-10 12:36.02 ---> saved as "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-10 12:36.03 ---> saved as "5e2227bc1cc8e4ac8bb28ae83513800609f5e9f8a522e8ebd342ddc2e9baffbc"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-10 12:36.07 ---> saved as "5181dd718bc135ee367b9ef39c1bc9b1c11daa188fcceeced476425ae46a5620"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-10 12:36.08 ---> saved as "6f1a675e6d4591d4f239aaa03c923156ac5a3a3e1380fac65e015a08d85743fd"


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apk" "update"
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz
- v3.21.3-452-gee5ce66b724 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main]
- v3.21.3-459-gb091f834ac8 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v20250108-7846-g39271601b77 [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v20250108-7843-g6586b379a88 [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v20250108-7827-gb606fd1275d [https://dl-cdn.alpinelinux.org/alpine/edge/testing]
- OK: 58157 distinct packages available


<><> 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


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


+ /usr/bin/sudo "apk" "add" "libffi-dev"
- (1/2) Installing linux-headers (6.6-r1)
- (2/2) Installing libffi-dev (3.4.7-r0)
- OK: 312 MiB in 104 packages
2025-05-10 12:36.39 ---> saved as "df2ecc6193843d35cec63c750312b1f21422e55fb784be81dc171f10aab659f7"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 74 packages
- install angstrom                0.16.1
- install astring                 0.8.5
- install backoff                 0.1.1
- install base                    v0.17.2
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install camlp-streams           5.0.1
- install cmdliner                1.3.0
- install conf-libffi             2.0.0
- install conf-pkg-config         4
- install cppo                    1.8.0
- install csexp                   1.5.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.18.2
- install dune-configurator       3.18.2
- install fieldslib               v0.17.0
- install fmt                     0.10.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install logs                    0.8.0
- install mdx                     2.5.0
- install mtime                   2.1.0
- install multicore-magic         2.3.1
- install num                     1.5-1
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml-version           4.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.2.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install result                  1.5
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install thread-local-storage    0.2
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> installed conf-pkg-config.4
-> retrieved cppo.1.8.0  (cached)
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved csexp.1.5.2  (cached)
-> installed conf-libffi.2.0.0
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved mdx.2.5.0  (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-version.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (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)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> 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_minidebug.2.2.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (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)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed camlp-streams.5.0.1
-> installed cppo.1.8.0
-> installed multicore-magic.2.3.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.2
-> installed bigstringaf.0.10.0
-> installed mdx.2.5.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.2
-> installed 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_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_minidebug.2.2.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-05-10 12:37.57 ---> saved as "064f6cd46a80dd2314ebab013fab55722655f9f24104ff5c0754fc2354890ea9"


/src: (copy (src .) (dst /src))
2025-05-10 12:37.57 ---> saved as "ca5fbb8ee0563ab53c35f1d2971965f285c5cffa255717a8b408d993b9993df9"


/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/76102c7ecbda1e266367236247613d32/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/99c3fd5ff7bc0fa7542bb07130cf1651/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76102c7ecbda1e266367236247613d32/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76102c7ecbda1e266367236247613d32/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76102c7ecbda1e266367236247613d32/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76102c7ecbda1e266367236247613d32/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76102c7ecbda1e266367236247613d32/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76102c7ecbda1e266367236247613d32/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76102c7ecbda1e266367236247613d32/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76102c7ecbda1e266367236247613d32/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76102c7ecbda1e266367236247613d32/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76102c7ecbda1e266367236247613d32/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76102c7ecbda1e266367236247613d32/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76102c7ecbda1e266367236247613d32/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76102c7ecbda1e266367236247613d32/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76102c7ecbda1e266367236247613d32/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76102c7ecbda1e266367236247613d32/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76102c7ecbda1e266367236247613d32/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76102c7ecbda1e266367236247613d32/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/76102c7ecbda1e266367236247613d32/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/76102c7ecbda1e266367236247613d32/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 128))))
@!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=0.193000, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209810, epoch loss=2.421642
Batch=599, step=1800, lr=0.192750, batch loss=0.250421, epoch loss=2.672062
Batch=659, step=1860, lr=0.192500, batch loss=0.367173, epoch loss=3.039235
Batch=719, step=1920, lr=0.192250, batch loss=0.354950, epoch loss=3.394185
Batch=779, step=1980, lr=0.192000, batch loss=0.381359, epoch loss=3.775544
Batch=839, step=2040, lr=0.191750, batch loss=0.339643, epoch loss=4.115187
Batch=899, step=2100, lr=0.191500, batch loss=0.295232, epoch loss=4.410419
Batch=959, step=2160, lr=0.191250, batch loss=0.214060, epoch loss=4.624479
Batch=1019, step=2220, lr=0.191000, batch loss=0.330923, epoch loss=4.955401
Batch=1079, step=2280, lr=0.190750, batch loss=0.208301, epoch loss=5.163702
Batch=1139, step=2340, lr=0.190500, batch loss=0.278322, epoch loss=5.442023
Batch=1199, step=2400, lr=0.190250, batch loss=0.220812, epoch loss=5.662836
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662836
Batch=59, step=2460, lr=0.190000, batch loss=0.230387, epoch loss=0.230387
Batch=119, step=2520, lr=0.189750, batch loss=0.195938, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221164, epoch loss=0.647490
Batch=239, step=2640, lr=0.189250, batch loss=0.328097, epoch loss=0.975587
Batch=299, step=2700, lr=0.189000, batch loss=0.202929, epoch loss=1.178516
Batch=359, step=2760, lr=0.188750, batch loss=0.288269, epoch loss=1.466785
Batch=419, step=2820, lr=0.188500, batch loss=0.280166, epoch loss=1.746951
Batch=479, step=2880, lr=0.188250, batch loss=0.251464, epoch loss=1.998415
Batch=539, step=2940, lr=0.188000, batch loss=0.191273, epoch loss=2.189688
Batch=599, step=3000, lr=0.187750, batch loss=0.224962, epoch loss=2.414650
Batch=659, step=3060, lr=0.187500, batch loss=0.335771, epoch loss=2.750420
Batch=719, step=3120, lr=0.187250, batch loss=0.331412, epoch loss=3.081832
Batch=779, step=3180, lr=0.187000, batch loss=0.357932, epoch loss=3.439765
Batch=839, step=3240, lr=0.186750, batch loss=0.325604, epoch loss=3.765368
Batch=899, step=3300, lr=0.186500, batch loss=0.292383, epoch loss=4.057752
Batch=959, step=3360, lr=0.186250, batch loss=0.244941, epoch loss=4.302692
Batch=1019, step=3420, lr=0.186000, batch loss=0.361945, epoch loss=4.664637
Batch=1079, step=3480, lr=0.185750, batch loss=0.222010, epoch loss=4.886647
Batch=1139, step=3540, lr=0.185500, batch loss=0.264077, epoch loss=5.150724
Batch=1199, step=3600, lr=0.185250, batch loss=0.199932, epoch loss=5.350656
Epoch=2, step=3600, lr=0.185250, epoch loss=5.350656
Batch=59, step=3660, lr=0.185000, batch loss=0.221206, epoch loss=0.221206
Batch=119, step=3720, lr=0.184750, batch loss=0.184970, epoch loss=0.406176
Batch=179, step=3780, lr=0.184500, batch loss=0.211395, epoch loss=0.617571
Batch=239, step=3840, lr=0.184250, batch loss=0.316953, epoch loss=0.934524
Batch=299, step=3900, lr=0.184000, batch loss=0.209232, epoch loss=1.143756
Batch=359, step=3960, lr=0.183750, batch loss=0.285615, epoch loss=1.429371
Batch=419, step=4020, lr=0.183500, batch loss=0.278254, epoch loss=1.707624
Batch=479, step=4080, lr=0.183250, batch loss=0.254958, epoch loss=1.962582
Batch=539, step=4140, lr=0.183000, batch loss=0.199963, epoch loss=2.162545
Batch=599, step=4200, lr=0.182750, batch loss=0.242638, epoch loss=2.405183
Batch=659, step=4260, lr=0.182500, batch loss=0.327752, epoch loss=2.732934
Batch=719, step=4320, lr=0.182250, batch loss=0.330863, epoch loss=3.063797
Batch=779, step=4380, lr=0.182000, batch loss=0.349745, epoch loss=3.413542
Batch=839, step=4440, lr=0.181750, batch loss=0.317834, epoch loss=3.731376
Batch=899, step=4500, lr=0.181500, batch loss=0.285780, epoch loss=4.017156
Batch=959, step=4560, lr=0.181250, batch loss=0.239674, epoch loss=4.256830
Batch=1019, step=4620, lr=0.181000, batch loss=0.332983, epoch loss=4.589813
Batch=1079, step=4680, lr=0.180750, batch loss=0.195753, epoch loss=4.785565
Batch=1139, step=4740, lr=0.180500, batch loss=0.229060, epoch loss=5.014625
Batch=1199, step=4800, lr=0.180250, batch loss=0.193310, epoch loss=5.207935
Epoch=3, step=4800, lr=0.180250, epoch loss=5.207935
Batch=59, step=4860, lr=0.180000, batch loss=0.234167, epoch loss=0.234167
Batch=119, step=4920, lr=0.179750, batch loss=0.192077, epoch loss=0.426244
Batch=179, step=4980, lr=0.179500, batch loss=0.205724, epoch loss=0.631967
Batch=239, step=5040, lr=0.179250, batch loss=0.307543, epoch loss=0.939510
Batch=299, step=5100, lr=0.179000, batch loss=0.205978, epoch loss=1.145488
Batch=359, step=5160, lr=0.178750, batch loss=0.270788, epoch loss=1.416276
Batch=419, step=5220, lr=0.178500, batch loss=0.265478, epoch loss=1.681753
Batch=479, step=5280, lr=0.178250, batch loss=0.241991, epoch loss=1.923744
Batch=539, step=5340, lr=0.178000, batch loss=0.195164, epoch loss=2.118908
Batch=599, step=5400, lr=0.177750, batch loss=0.243532, epoch loss=2.362439
Batch=659, step=5460, lr=0.177500, batch loss=0.317068, epoch loss=2.679507
Batch=719, step=5520, lr=0.177250, batch loss=0.317767, epoch loss=2.997274
Batch=779, step=5580, lr=0.177000, batch loss=0.343137, epoch loss=3.340411
Batch=839, step=5640, lr=0.176750, batch loss=0.308246, epoch loss=3.648657
Batch=899, step=5700, lr=0.176500, batch loss=0.273827, epoch loss=3.922483
Batch=959, step=5760, lr=0.176250, batch loss=0.210783, epoch loss=4.133266
Batch=1019, step=5820, lr=0.176000, batch loss=0.338773, epoch loss=4.472040
Batch=1079, step=5880, lr=0.175750, batch loss=0.201321, epoch loss=4.673361
Batch=1139, step=5940, lr=0.175500, batch loss=0.243029, epoch loss=4.916389
Batch=1199, step=6000, lr=0.175250, batch loss=0.185380, epoch loss=5.101769
Epoch=4, step=6000, lr=0.175250, epoch loss=5.101769
Batch=59, step=6060, lr=0.175000, batch loss=0.226390, epoch loss=0.226390
Batch=119, step=6120, lr=0.174750, batch loss=0.184058, epoch loss=0.410448
Batch=179, step=6180, lr=0.174500, batch loss=0.201404, epoch loss=0.611852
Batch=239, step=6240, lr=0.174250, batch loss=0.301267, epoch loss=0.913119
Batch=299, step=6300, lr=0.174000, batch loss=0.205702, epoch loss=1.118821
Batch=359, step=6360, lr=0.173500, batch loss=0.264940, epoch loss=1.383761
Batch=419, step=6420, lr=0.173250, batch loss=0.261279, epoch loss=1.645041
Batch=479, step=6480, lr=0.173250, batch loss=0.241210, epoch loss=1.886250
Batch=539, step=6540, lr=0.173000, batch loss=0.196249, epoch loss=2.082499
Batch=599, step=6600, lr=0.172750, batch loss=0.232392, epoch loss=2.314891
Batch=659, step=6660, lr=0.172500, batch loss=0.313598, epoch loss=2.628489
Batch=719, step=6720, lr=0.172250, batch loss=0.316701, epoch loss=2.945190
Batch=779, step=6780, lr=0.172000, batch loss=0.330895, epoch loss=3.276085
Batch=839, step=6840, lr=0.171750, batch loss=0.306319, epoch loss=3.582404
Batch=899, step=6900, lr=0.171500, batch loss=0.268575, epoch loss=3.850979
Batch=959, step=6960, lr=0.171250, batch loss=0.207639, epoch loss=4.058618
Batch=1019, step=7020, lr=0.171000, batch loss=0.331464, epoch loss=4.390082
Batch=1079, step=7080, lr=0.170750, batch loss=0.180622, epoch loss=4.570704
Batch=1139, step=7140, lr=0.170500, batch loss=0.216851, epoch loss=4.787554
Batch=1199, step=7200, lr=0.170250, batch loss=0.182261, epoch loss=4.969815
Epoch=5, step=7200, lr=0.170250, epoch loss=4.969815
Batch=59, step=7260, lr=0.170000, batch loss=0.240141, epoch loss=0.240141
Batch=119, step=7320, lr=0.169750, batch loss=0.179756, epoch loss=0.419897
Batch=179, step=7380, lr=0.169500, batch loss=0.195250, epoch loss=0.615146
Batch=239, step=7440, lr=0.169250, batch loss=0.292271, epoch loss=0.907417
Batch=299, step=7500, lr=0.169000, batch loss=0.207863, epoch loss=1.115280
Batch=359, step=7560, lr=0.168750, batch loss=0.261264, epoch loss=1.376545
Batch=419, step=7620, lr=0.168500, batch loss=0.253860, epoch loss=1.630405
Batch=479, step=7680, lr=0.168250, batch loss=0.232175, epoch loss=1.862580
Batch=539, step=7740, lr=0.168000, batch loss=0.185238, epoch loss=2.047818
Batch=599, step=7800, lr=0.167750, batch loss=0.227478, epoch loss=2.275295
Batch=659, step=7860, lr=0.167500, batch loss=0.304114, epoch loss=2.579409
Batch=719, step=7920, lr=0.167250, batch loss=0.308459, epoch loss=2.887868
Batch=779, step=7980, lr=0.167000, batch loss=0.325017, epoch loss=3.212885
Batch=839, step=8040, lr=0.166750, batch loss=0.294001, epoch loss=3.506886
Batch=899, step=8100, lr=0.166500, batch loss=0.261062, epoch loss=3.767948
Batch=959, step=8160, lr=0.166250, batch loss=0.202815, epoch loss=3.970763
Batch=1019, step=8220, lr=0.166000, batch loss=0.321440, epoch loss=4.292203
Batch=1079, step=8280, lr=0.165750, batch loss=0.184340, epoch loss=4.476543
Batch=1139, step=8340, lr=0.165500, batch loss=0.213465, epoch loss=4.690008
Batch=1199, step=8400, lr=0.165250, batch loss=0.172103, epoch loss=4.862111
Epoch=6, step=8400, lr=0.165250, epoch loss=4.862111
Batch=59, step=8460, lr=0.165000, batch loss=0.210644, epoch loss=0.210644
Batch=119, step=8520, lr=0.164750, batch loss=0.172765, epoch loss=0.383409
Batch=179, step=8580, lr=0.164500, batch loss=0.187802, epoch loss=0.571211
Batch=239, step=8640, lr=0.164250, batch loss=0.276884, epoch loss=0.848096
Batch=299, step=8700, lr=0.164000, batch loss=0.192476, epoch loss=1.040572
Batch=359, step=8760, lr=0.163750, batch loss=0.249444, epoch loss=1.290015
Batch=419, step=8820, lr=0.163500, batch loss=0.243882, epoch loss=1.533898
Batch=479, step=8880, lr=0.163250, batch loss=0.229508, epoch loss=1.763405
Batch=539, step=8940, lr=0.163000, batch loss=0.176874, epoch loss=1.940279
Batch=599, step=9000, lr=0.162750, batch loss=0.218913, epoch loss=2.159192
Batch=659, step=9060, lr=0.162500, batch loss=0.293242, epoch loss=2.452434
Batch=719, step=9120, lr=0.162250, batch loss=0.297395, epoch loss=2.749829
Batch=779, step=9180, lr=0.162000, batch loss=0.314198, epoch loss=3.064027
Batch=839, step=9240, lr=0.161750, batch loss=0.281832, epoch loss=3.345860
Batch=899, step=9300, lr=0.161500, batch loss=0.252400, epoch loss=3.598260
Batch=959, step=9360, lr=0.161250, batch loss=0.187602, epoch loss=3.785862
Batch=1019, step=9420, lr=0.161000, batch loss=0.318557, epoch loss=4.104419
Batch=1079, step=9480, lr=0.160750, batch loss=0.184756, epoch loss=4.289174
Batch=1139, step=9540, lr=0.160500, batch loss=0.207323, epoch loss=4.496497
Batch=1199, step=9600, lr=0.160250, batch loss=0.166113, epoch loss=4.662611
Epoch=7, step=9600, lr=0.160250, epoch loss=4.662611
Batch=59, step=9660, lr=0.160000, batch loss=0.200722, epoch loss=0.200722
Batch=119, step=9720, lr=0.159750, batch loss=0.162803, epoch loss=0.363525
Batch=179, step=9780, lr=0.159500, batch loss=0.178711, epoch loss=0.542236
Batch=239, step=9840, lr=0.159250, batch loss=0.260234, epoch loss=0.802470
Batch=299, step=9900, lr=0.159000, batch loss=0.178668, epoch loss=0.981139
Batch=359, step=9960, lr=0.158750, batch loss=0.233815, epoch loss=1.214953
Batch=419, step=10020, lr=0.158500, batch loss=0.230752, epoch loss=1.445706
Batch=479, step=10080, lr=0.158250, batch loss=0.212497, epoch loss=1.658203
Batch=539, step=10140, lr=0.158000, batch loss=0.170901, epoch loss=1.829104
Batch=599, step=10200, lr=0.157750, batch loss=0.200789, epoch loss=2.029894
Batch=659, step=10260, lr=0.157500, batch loss=0.280904, epoch loss=2.310798
Batch=719, step=10320, lr=0.157250, batch loss=0.278970, epoch loss=2.589768
Batch=779, step=10380, lr=0.157000, batch loss=0.299527, epoch loss=2.889294
Batch=839, step=10440, lr=0.156750, batch loss=0.270388, epoch loss=3.159682
Batch=899, step=10500, lr=0.156500, batch loss=0.239720, epoch loss=3.399402
Batch=959, step=10560, lr=0.156250, batch loss=0.197537, epoch loss=3.596940
Batch=1019, step=10620, lr=0.156000, batch loss=0.277312, epoch loss=3.874252
Batch=1079, step=10680, lr=0.155750, batch loss=0.150802, epoch loss=4.025054
Batch=1139, step=10740, lr=0.155500, batch loss=0.180003, epoch loss=4.205058
Batch=1199, step=10800, lr=0.155250, batch loss=0.163576, epoch loss=4.368633
Epoch=8, step=10800, lr=0.155250, epoch loss=4.368633
Batch=59, step=10860, lr=0.155000, batch loss=0.192430, epoch loss=0.192430
Batch=119, step=10920, lr=0.154750, batch loss=0.162971, epoch loss=0.355401
Batch=179, step=10980, lr=0.154500, batch loss=0.165632, epoch loss=0.521033
Batch=239, step=11040, lr=0.154250, batch loss=0.242794, epoch loss=0.763827
Batch=299, step=11100, lr=0.154000, batch loss=0.165779, epoch loss=0.929606
Batch=359, step=11160, lr=0.153750, batch loss=0.222640, epoch loss=1.152247
Batch=419, step=11220, lr=0.153500, batch loss=0.229409, epoch loss=1.381656
Batch=479, step=11280, lr=0.153250, batch loss=0.202274, epoch loss=1.583930
Batch=539, step=11340, lr=0.153000, batch loss=0.160807, epoch loss=1.744737
Batch=599, step=11400, lr=0.152750, batch loss=0.184164, epoch loss=1.928901
Batch=659, step=11460, lr=0.152500, batch loss=0.262471, epoch loss=2.191373
Batch=719, step=11520, lr=0.152250, batch loss=0.249692, epoch loss=2.441064
Batch=779, step=11580, lr=0.152000, batch loss=0.269127, epoch loss=2.710191
Batch=839, step=11640, lr=0.151750, batch loss=0.255630, epoch loss=2.965821
Batch=899, step=11700, lr=0.151500, batch loss=0.223446, epoch loss=3.189267
Batch=959, step=11760, lr=0.151250, batch loss=0.177524, epoch loss=3.366791
Batch=1019, step=11820, lr=0.151000, batch loss=0.255556, epoch loss=3.622347
Batch=1079, step=11880, lr=0.150750, batch loss=0.133473, epoch loss=3.755820
Batch=1139, step=11940, lr=0.150500, batch loss=0.163441, epoch loss=3.919261
Batch=1199, step=12000, lr=0.150250, batch loss=0.138789, epoch loss=4.058050
Epoch=9, step=12000, lr=0.150250, epoch loss=4.058050
Batch=59, step=12060, lr=0.150000, batch loss=0.170856, epoch loss=0.170856
Batch=119, step=12120, lr=0.149750, batch loss=0.151557, epoch loss=0.322413
Batch=179, step=12180, lr=0.149500, batch loss=0.148797, epoch loss=0.471211
Batch=239, step=12240, lr=0.149250, batch loss=0.215336, epoch loss=0.686547
Batch=299, step=12300, lr=0.149000, batch loss=0.145309, epoch loss=0.831856
Batch=359, step=12360, lr=0.148750, batch loss=0.193969, epoch loss=1.025825
Batch=419, step=12420, lr=0.148500, batch loss=0.207249, epoch loss=1.233074
Batch=479, step=12480, lr=0.148250, batch loss=0.177128, epoch loss=1.410202
Batch=539, step=12540, lr=0.148000, batch loss=0.143178, epoch loss=1.553380
Batch=599, step=12600, lr=0.147750, batch loss=0.148360, epoch loss=1.701740
Batch=659, step=12660, lr=0.147500, batch loss=0.224679, epoch loss=1.926418
Batch=719, step=12720, lr=0.147250, batch loss=0.228048, epoch loss=2.154466
Batch=779, step=12780, lr=0.147000, batch loss=0.256714, epoch loss=2.411179
Batch=839, step=12840, lr=0.146750, batch loss=0.229994, epoch loss=2.641174
Batch=899, step=12900, lr=0.146500, batch loss=0.215786, epoch loss=2.856960
Batch=959, step=12960, lr=0.146250, batch loss=0.147570, epoch loss=3.004530
Batch=1019, step=13020, lr=0.146000, batch loss=0.266463, epoch loss=3.270993
Batch=1079, step=13080, lr=0.145750, batch loss=0.109553, epoch loss=3.380545
Batch=1139, step=13140, lr=0.145500, batch loss=0.149034, epoch loss=3.529579
Batch=1199, step=13200, lr=0.145250, batch loss=0.116387, epoch loss=3.645966
Epoch=10, step=13200, lr=0.145250, epoch loss=3.645966
Batch=59, step=13260, lr=0.145000, batch loss=0.144801, epoch loss=0.144801
Batch=119, step=13320, lr=0.144750, batch loss=0.122947, epoch loss=0.267748
Batch=179, step=13380, lr=0.144500, batch loss=0.129886, epoch loss=0.397633
Batch=239, step=13440, lr=0.144250, batch loss=0.190188, epoch loss=0.587821
Batch=299, step=13500, lr=0.144000, batch loss=0.117518, epoch loss=0.705339
Batch=359, step=13560, lr=0.143750, batch loss=0.158770, epoch loss=0.864109
Batch=419, step=13620, lr=0.143500, batch loss=0.155225, epoch loss=1.019334
Batch=479, step=13680, lr=0.143250, batch loss=0.150184, epoch loss=1.169517
Batch=539, step=13740, lr=0.143000, batch loss=0.120987, epoch loss=1.290504
Batch=599, step=13800, lr=0.142750, batch loss=0.118465, epoch loss=1.408969
Batch=659, step=13860, lr=0.142500, batch loss=0.175900, epoch loss=1.584869
Batch=719, step=13920, lr=0.142250, batch loss=0.170212, epoch loss=1.755081
Batch=779, step=13980, lr=0.142000, batch loss=0.179574, epoch loss=1.934655
Batch=839, step=14040, lr=0.141750, batch loss=0.200345, epoch loss=2.135000
Batch=899, step=14100, lr=0.141500, batch loss=0.213864, epoch loss=2.348864
Batch=959, step=14160, lr=0.141250, batch loss=0.105393, epoch loss=2.454257
Batch=1019, step=14220, lr=0.141000, batch loss=0.190470, epoch loss=2.644727
Batch=1079, step=14280, lr=0.140750, batch loss=0.084094, epoch loss=2.728821
Batch=1139, step=14340, lr=0.140500, batch loss=0.148726, epoch loss=2.877546
Batch=1199, step=14400, lr=0.140250, batch loss=0.086561, epoch loss=2.964107
Epoch=11, step=14400, lr=0.140250, epoch loss=2.964107
Batch=59, step=14460, lr=0.140000, batch loss=0.108188, epoch loss=0.108188
Batch=119, step=14520, lr=0.139750, batch loss=0.101482, epoch loss=0.209669
Batch=179, step=14580, lr=0.139500, batch loss=0.103062, epoch loss=0.312731
Batch=239, step=14640, lr=0.139250, batch loss=0.137139, epoch loss=0.449870
Batch=299, step=14700, lr=0.139000, batch loss=0.079198, epoch loss=0.529068
Batch=359, step=14760, lr=0.138750, batch loss=0.124537, epoch loss=0.653606
Batch=419, step=14820, lr=0.138500, batch loss=0.129369, epoch loss=0.782975
Batch=479, step=14880, lr=0.138250, batch loss=0.100511, epoch loss=0.883486
Batch=539, step=14940, lr=0.138000, batch loss=0.108166, epoch loss=0.991652
Batch=599, step=15000, lr=0.137750, batch loss=0.084664, epoch loss=1.076316
Batch=659, step=15060, lr=0.137500, batch loss=0.127686, epoch loss=1.204002
Batch=719, step=15120, lr=0.137250, batch loss=0.116343, epoch loss=1.320345
Batch=779, step=15180, lr=0.137000, batch loss=0.118564, epoch loss=1.438909
Batch=839, step=15240, lr=0.136750, batch loss=0.164432, epoch loss=1.603340
Batch=899, step=15300, lr=0.136500, batch loss=0.277419, epoch loss=1.880759
Batch=959, step=15360, lr=0.136250, batch loss=0.065247, epoch loss=1.946006
Batch=1019, step=15420, lr=0.136000, batch loss=0.158918, epoch loss=2.104924
Batch=1079, step=15480, lr=0.135750, batch loss=0.041140, epoch loss=2.146064
Batch=1139, step=15540, lr=0.135500, batch loss=0.097386, epoch loss=2.243450
Batch=1199, step=15600, lr=0.135250, batch loss=0.060767, epoch loss=2.304217
Epoch=12, step=15600, lr=0.135250, epoch loss=2.304217
Batch=59, step=15660, lr=0.135000, batch loss=0.075918, epoch loss=0.075918
Batch=119, step=15720, lr=0.134750, batch loss=0.104076, epoch loss=0.179994
Batch=179, step=15780, lr=0.134500, batch loss=0.085963, epoch loss=0.265957
Batch=239, step=15840, lr=0.134250, batch loss=0.091195, epoch loss=0.357152
Batch=299, step=15900, lr=0.134000, batch loss=0.033947, epoch loss=0.391099
Batch=359, step=15960, lr=0.133750, batch loss=0.071155, epoch loss=0.462254
Batch=419, step=16020, lr=0.133500, batch loss=0.086068, epoch loss=0.548323
Batch=479, step=16080, lr=0.133250, batch loss=0.062600, epoch loss=0.610923
Batch=539, step=16140, lr=0.133000, batch loss=0.102250, epoch loss=0.713173
Batch=599, step=16200, lr=0.132750, batch loss=0.059568, epoch loss=0.772742
Batch=659, step=16260, lr=0.132500, batch loss=0.080812, epoch loss=0.853553
Batch=719, step=16320, lr=0.132250, batch loss=0.092743, epoch loss=0.946296
Batch=779, step=16380, lr=0.132000, batch loss=0.086016, epoch loss=1.032311
Batch=839, step=16440, lr=0.131750, batch loss=0.108234, epoch loss=1.140546
Batch=899, step=16500, lr=0.131500, batch loss=0.078727, epoch loss=1.219273
Batch=959, step=16560, lr=0.131250, batch loss=0.043332, epoch loss=1.262604
Batch=1019, step=16620, lr=0.131000, batch loss=0.045661, epoch loss=1.308265
Batch=1079, step=16680, lr=0.130750, batch loss=0.065021, epoch loss=1.373286
Batch=1139, step=16740, lr=0.130500, batch loss=0.166975, epoch loss=1.540261
Batch=1199, step=16800, lr=0.130250, batch loss=0.040866, epoch loss=1.581126
Epoch=13, step=16800, lr=0.130250, epoch loss=1.581126
Batch=59, step=16860, lr=0.130000, batch loss=0.034809, epoch loss=0.034809
Batch=119, step=16920, lr=0.129750, batch loss=0.032488, epoch loss=0.067297
Batch=179, step=16980, lr=0.129500, batch loss=0.045290, epoch loss=0.112587
Batch=239, step=17040, lr=0.129250, batch loss=0.058847, epoch loss=0.171435
Batch=299, step=17100, lr=0.129000, batch loss=0.018433, epoch loss=0.189868
Batch=359, step=17160, lr=0.128750, batch loss=0.041604, epoch loss=0.231472
Batch=419, step=17220, lr=0.128500, batch loss=0.043207, epoch loss=0.274679
Batch=479, step=17280, lr=0.128250, batch loss=0.020622, epoch loss=0.295301
Batch=539, step=17340, lr=0.128000, batch loss=0.028608, epoch loss=0.323909
Batch=599, step=17400, lr=0.127750, batch loss=0.036580, epoch loss=0.360489
Batch=659, step=17460, lr=0.127500, batch loss=0.057691, epoch loss=0.418179
Batch=719, step=17520, lr=0.127250, batch loss=0.099753, epoch loss=0.517932
Batch=779, step=17580, lr=0.127000, batch loss=0.056551, epoch loss=0.574483
Batch=839, step=17640, lr=0.126750, batch loss=0.091744, epoch loss=0.666227
Batch=899, step=17700, lr=0.126500, batch loss=0.048468, epoch loss=0.714695
Batch=959, step=17760, lr=0.126250, batch loss=0.020554, epoch loss=0.735249
Batch=1019, step=17820, lr=0.126000, batch loss=0.049398, epoch loss=0.784647
Batch=1079, step=17880, lr=0.125750, batch loss=0.044784, epoch loss=0.829431
Batch=1139, step=17940, lr=0.125500, batch loss=0.070575, epoch loss=0.900006
Batch=1199, step=18000, lr=0.125250, batch loss=0.022276, epoch loss=0.922282
Epoch=14, step=18000, lr=0.125250, epoch loss=0.922282
Batch=59, step=18060, lr=0.125000, batch loss=0.014646, epoch loss=0.014646
Batch=119, step=18120, lr=0.124750, batch loss=0.017645, epoch loss=0.032291
Batch=179, step=18180, lr=0.124500, batch loss=0.028422, epoch loss=0.060713
Batch=239, step=18240, lr=0.124250, batch loss=0.034158, epoch loss=0.094871
Batch=299, step=18300, lr=0.124000, batch loss=0.009371, epoch loss=0.104242
Batch=359, step=18360, lr=0.123750, batch loss=0.024367, epoch loss=0.128609
Batch=419, step=18420, lr=0.123500, batch loss=0.026519, epoch loss=0.155128
Batch=479, step=18480, lr=0.123250, batch loss=0.012988, epoch loss=0.168116
Batch=539, step=18540, lr=0.123000, batch loss=0.035031, epoch loss=0.203146
Batch=599, step=18600, lr=0.122750, batch loss=0.044440, epoch loss=0.247586
Batch=659, step=18660, lr=0.122500, batch loss=0.027206, epoch loss=0.274792
Batch=719, step=18720, lr=0.122250, batch loss=0.063735, epoch loss=0.338527
Batch=779, step=18780, lr=0.122000, batch loss=0.095201, epoch loss=0.433728
Batch=839, step=18840, lr=0.121750, batch loss=0.074524, epoch loss=0.508252
Batch=899, step=18900, lr=0.121500, batch loss=0.099372, epoch loss=0.607624
Batch=959, step=18960, lr=0.121250, batch loss=0.014823, epoch loss=0.622447
Batch=1019, step=19020, lr=0.121000, batch loss=0.025994, epoch loss=0.648441
Batch=1079, step=19080, lr=0.120750, batch loss=0.004063, epoch loss=0.652504
Batch=1139, step=19140, lr=0.120500, batch loss=0.022487, epoch loss=0.674991
Batch=1199, step=19200, lr=0.120250, batch loss=0.009489, epoch loss=0.684479
Epoch=15, step=19200, lr=0.120250, epoch loss=0.684479
Batch=59, step=19260, lr=0.120000, batch loss=0.004362, epoch loss=0.004362
Batch=119, step=19320, lr=0.119750, batch loss=0.011326, epoch loss=0.015688
Batch=179, step=19380, lr=0.119500, batch loss=0.019569, epoch loss=0.035257
Batch=239, step=19440, lr=0.119250, batch loss=0.021876, epoch loss=0.057133
Batch=299, step=19500, lr=0.119000, batch loss=0.005128, epoch loss=0.062261
Batch=359, step=19560, lr=0.118750, batch loss=0.016594, epoch loss=0.078854
Batch=419, step=19620, lr=0.118500, batch loss=0.021001, epoch loss=0.099855
Batch=479, step=19680, lr=0.118250, batch loss=0.012110, epoch loss=0.111965
Batch=539, step=19740, lr=0.118000, batch loss=0.018601, epoch loss=0.130566
Batch=599, step=19800, lr=0.117750, batch loss=0.019181, epoch loss=0.149746
Batch=659, step=19860, lr=0.117500, batch loss=0.017090, epoch loss=0.166837
Batch=719, step=19920, lr=0.117250, batch loss=0.015693, epoch loss=0.182530
Batch=779, step=19980, lr=0.117000, batch loss=0.020498, epoch loss=0.203028
Batch=839, step=20040, lr=0.116750, batch loss=0.029516, epoch loss=0.232544
Batch=899, step=20100, lr=0.116500, batch loss=0.026032, epoch loss=0.258577
Batch=959, step=20160, lr=0.116250, batch loss=0.011601, epoch loss=0.270178
Batch=1019, step=20220, lr=0.116000, batch loss=0.014905, epoch loss=0.285082
Batch=1079, step=20280, lr=0.115750, batch loss=0.003733, epoch loss=0.288815
Batch=1139, step=20340, lr=0.115500, batch loss=0.014252, epoch loss=0.303067
Batch=1199, step=20400, lr=0.115250, batch loss=0.006004, epoch loss=0.309071
Epoch=16, step=20400, lr=0.115250, epoch loss=0.309071
Batch=59, step=20460, lr=0.115000, batch loss=0.003623, epoch loss=0.003623
Batch=119, step=20520, lr=0.114750, batch loss=0.008349, epoch loss=0.011972
Batch=179, step=20580, lr=0.114500, batch loss=0.017040, epoch loss=0.029012
Batch=239, step=20640, lr=0.114250, batch loss=0.018667, epoch loss=0.047679
Batch=299, step=20700, lr=0.114000, batch loss=0.008121, epoch loss=0.055800
Batch=359, step=20760, lr=0.113750, batch loss=0.012865, epoch loss=0.068665
Batch=419, step=20820, lr=0.113500, batch loss=0.013140, epoch loss=0.081805
Batch=479, step=20880, lr=0.113250, batch loss=0.006037, epoch loss=0.087842
Batch=539, step=20940, lr=0.113000, batch loss=0.014899, epoch loss=0.102741
Batch=599, step=21000, lr=0.112750, batch loss=0.018705, epoch loss=0.121446
Batch=659, step=21060, lr=0.112500, batch loss=0.015980, epoch loss=0.137426
Batch=719, step=21120, lr=0.112250, batch loss=0.042890, epoch loss=0.180316
Batch=779, step=21180, lr=0.112000, batch loss=0.077428, epoch loss=0.257743
Batch=839, step=21240, lr=0.111750, batch loss=0.025555, epoch loss=0.283299
Batch=899, step=21300, lr=0.111500, batch loss=0.027159, epoch loss=0.310458
Batch=959, step=21360, lr=0.111250, batch loss=0.009844, epoch loss=0.320302
Batch=1019, step=21420, lr=0.111000, batch loss=0.011374, epoch loss=0.331675
Batch=1079, step=21480, lr=0.110750, batch loss=0.001198, epoch loss=0.332873
Batch=1139, step=21540, lr=0.110500, batch loss=0.012347, epoch loss=0.345220
Batch=1199, step=21600, lr=0.110250, batch loss=0.004477, epoch loss=0.349698
Epoch=17, step=21600, lr=0.110250, epoch loss=0.349698
Batch=59, step=21660, lr=0.110000, batch loss=0.001768, epoch loss=0.001768
Batch=119, step=21720, lr=0.109750, batch loss=0.008046, epoch loss=0.009814
Batch=179, step=21780, lr=0.109500, batch loss=0.018594, epoch loss=0.028408
Batch=239, step=21840, lr=0.109250, batch loss=0.012501, epoch loss=0.040910
Batch=299, step=21900, lr=0.109000, batch loss=0.002941, epoch loss=0.043851
Batch=359, step=21960, lr=0.108750, batch loss=0.012725, epoch loss=0.056576
Batch=419, step=22020, lr=0.108500, batch loss=0.011134, epoch loss=0.067711
Batch=479, step=22080, lr=0.108250, batch loss=0.002679, epoch loss=0.070390
Batch=539, step=22140, lr=0.108000, batch loss=0.019581, epoch loss=0.089971
Batch=599, step=22200, lr=0.107750, batch loss=0.016251, epoch loss=0.106222
Batch=659, step=22260, lr=0.107500, batch loss=0.014953, epoch loss=0.121175
Batch=719, step=22320, lr=0.107250, batch loss=0.027944, epoch loss=0.149119
Batch=779, step=22380, lr=0.107000, batch loss=0.043034, epoch loss=0.192153
Batch=839, step=22440, lr=0.106750, batch loss=0.020844, epoch loss=0.212997
Batch=899, step=22500, lr=0.106500, batch loss=0.022168, epoch loss=0.235165
Batch=959, step=22560, lr=0.106250, batch loss=0.011050, epoch loss=0.246215
Batch=1019, step=22620, lr=0.106000, batch loss=0.009145, epoch loss=0.255360
Batch=1079, step=22680, lr=0.105750, batch loss=0.000057, epoch loss=0.255417
Batch=1139, step=22740, lr=0.105500, batch loss=0.010082, epoch loss=0.265499
Batch=1199, step=22800, lr=0.105250, batch loss=0.004319, epoch loss=0.269819
Epoch=18, step=22800, lr=0.105250, epoch loss=0.269819
Batch=59, step=22860, lr=0.105000, batch loss=0.001465, epoch loss=0.001465
Batch=119, step=22920, lr=0.104750, batch loss=0.005553, epoch loss=0.007019
Batch=179, step=22980, lr=0.104500, batch loss=0.010864, epoch loss=0.017883
Batch=239, step=23040, lr=0.104250, batch loss=0.011699, epoch loss=0.029582
Batch=299, step=23100, lr=0.104000, batch loss=0.008396, epoch loss=0.037978
Batch=359, step=23160, lr=0.103750, batch loss=0.011258, epoch loss=0.049236
Batch=419, step=23220, lr=0.103500, batch loss=0.010540, epoch loss=0.059777
Batch=479, step=23280, lr=0.103250, batch loss=0.002463, epoch loss=0.062240
Batch=539, step=23340, lr=0.103000, batch loss=0.017137, epoch loss=0.079377
Batch=599, step=23400, lr=0.102750, batch loss=0.013554, epoch loss=0.092931
Batch=659, step=23460, lr=0.102500, batch loss=0.010394, epoch loss=0.103325
Batch=719, step=23520, lr=0.102250, batch loss=0.015240, epoch loss=0.118564
Batch=779, step=23580, lr=0.102000, batch loss=0.022067, epoch loss=0.140631
Batch=839, step=23640, lr=0.101750, batch loss=0.024546, epoch loss=0.165177
Batch=899, step=23700, lr=0.101500, batch loss=0.023536, epoch loss=0.188713
Batch=959, step=23760, lr=0.101250, batch loss=0.008872, epoch loss=0.197585
Batch=1019, step=23820, lr=0.101000, batch loss=0.007805, epoch loss=0.205390
Batch=1079, step=23880, lr=0.100750, batch loss=0.000669, epoch loss=0.206058
Batch=1139, step=23940, lr=0.100500, batch loss=0.009491, epoch loss=0.215550
Batch=1199, step=24000, lr=0.100250, batch loss=0.004644, epoch loss=0.220194
Epoch=19, step=24000, lr=0.100250, epoch loss=0.220194


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-10 12:38.24 ---> saved as "cbb3bc39606bbceb26ace319f8aa5297bc327bf7ea5149089c0267583a3096a5"
Job succeeded
2025-05-10 12:38.25: Job succeeded