Organisationsahrefsocannl9afb61 ()debian-12-5.3_opam-2.3

debian-12-5.3_opam-2.3

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2025-05-22 12:20.03: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (9afb61d245b2724d2132450805c8b080ac7e0c9a) (linux-x86_64:debian-12-5.3_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 9afb61d2
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a
# debian-12-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && 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 pprint.20230830 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


2025-05-22 12:20.03: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a-debian-12-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"
2025-05-22 12:20.03: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a)
(comment debian-12-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && 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 pprint.20230830 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"))
)


2025-05-22 12:20.03: Waiting for resource in pool OCluster
2025-05-22 12:20.03: Waiting for worker…
2025-05-22 12:20.03: Got resource from pool OCluster
Building on laodoke.caelum.ci.dev
All commits already cached
HEAD is now at 9afb61d2 In progress / broken: Format -> PPrint migration first pass by Claude


(from ocaml/opam:debian-12-ocaml-5.3@sha256:1b8db2464075e045f2710c633c15ec40916e273f0dea1055c6f56c58e621387a)
2025-05-22 12:20.05 ---> using "c27ab789c36f636d2f62a674e3eae2c305d73399092c4108cbaa52dc8a10012e" from cache


/: (comment debian-12-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-22 12:20.05 ---> using "9cae145c80fe31974e43d88953f6bec29d183f6d20f421503e8d061cd40eec4a" 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 ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-22 12:20.05 ---> using "87f3e5a80755168fb4361602ab86da8431db1c0a4b82a5265de42e259ab24c66" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-139-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-22 12:20.05 ---> using "845852dbffbb340f0f2c13031c11ce1dfd03ae99790c5dc859c7ad5e21d0e7a8" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-22 12:20.05 ---> using "8191a55dd0056aa373fe8194631bf3d29936780292874a0772972c5c5b35fd39" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
35eb2f107a..27f5ac67c2  master     -> origin/master
c7d6d1d2aa Merge pull request #27880 from MisterDA/os-family-fedora


<><> 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)
2025-05-22 12:20.05 ---> using "8cc7e1c64bc8656f9760e9ef22c654e746ffbd9d197431bb832a2894a3229e8c" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-22 12:20.05 ---> using "f1ddad3733c33a9ebb2eca7d7ce34bef7034cac48c91ebfad508ead933cc451d" from cache


/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)
2025-05-22 12:20.05 ---> using "8a6b0e24c4a1018c066212c7312abb80eff8a083fc3c10f113e755275e1c03a6" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-22 12:20.05 ---> using "26df6ff97f03ae829bcce01fa3d9288524b3116d6ebbe6a9daae2b1370fd76c5" from cache


/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 pprint.20230830 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 "apt-get" "update"
- Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB]
- Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB]
- Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB]
- Get:4 http://deb.debian.org/debian bookworm/main amd64 Packages [8793 kB]
- Get:5 http://deb.debian.org/debian-security bookworm-security/main amd64 Packages [259 kB]
- Fetched 9306 kB in 2s (5695 kB/s)
- Reading package lists...
- 


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


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


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


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


+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libffi-dev:amd64.
- (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 18778 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) ...
2025-05-22 12:20.05 ---> using "6eb1eb8c7178acf92e1276a60492fa769a058525eed6536681551e7d9c7434f3" from cache


/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 75 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 pprint                  20230830
- 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 bigstringaf.0.10.0  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cmdliner.1.3.0  (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 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 mdx.2.5.0  (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-version.4.0.0  (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 pprint.20230830  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> 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)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (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.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (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 uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed 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 multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> installed printbox.0.12
-> installed re.1.12.0
-> installed cppo.1.8.0
-> 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 fieldslib.v0.17.0
-> installed variantslib.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 ppxlib.0.35.0
-> installed printbox-ext-plot.0.12
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> 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)
2025-05-22 12:20.05 ---> using "70dab8f0360d6d3056e7a593658941759639868bb7c6fa48fcefb04853f9f242" from cache


/src: (copy (src .) (dst /src))
2025-05-22 12:20.05 ---> saved as "8c72f4335d551c360d0722fcd0ff2270839f4936e42f4efd5e1514d5058eb8f3"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/config/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
Wrote value of 'backend' to ocannl_backend.txt
(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/b4014eaf55f1ddcaa416f736fc652ea9/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d0dce5ba6a6cf2a9f50a3e8bcc8a56ac/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/dune", lines 30-40, characters 0-281:
30 | (rule
31 |  (alias runtest)
32 |  (target
33 |   (dir log_files))
34 |  (action
35 |   (run
36 |    %{dep:micrograd_demo_logging.exe}
37 |    "--ocannl_debug_backend=text"
38 |    "--ocannl_log_file_stem=micrograd_demo_logging"
39 |    "--ocannl_log_main_domain_to_stdout=false"
40 |    "--ocannl_debug_log_to_stream_files=true")))
(cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true)


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
Retrieving commandline, environment, or config file variable ocannl_backend
Found multicore_cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_cd_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity
Found true, in the config file
Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files
Found true, commandline --ocannl_debug_log_to_stream_files=true
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
Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed
Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64
Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31
Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59
Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38
Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82
Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92
Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92
Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77
(cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/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/b4014eaf55f1ddcaa416f736fc652ea9/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/micrograd_demo.ml", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/micrograd_demo.ml _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/default/test/micrograd_demo.ml.corrected
diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/default/test/micrograd_demo.ml.corrected
index 77e46c6..3cb470c 100644
--- a/_build/default/test/micrograd_demo.ml
+++ b/_build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/default/test/micrograd_demo.ml.corrected
@@ -52,15 +52,14 @@ let%expect_test "Micrograd README basic example" =
│├┼───────┤       │
│││ -4.00 │       │
│└┴───────┘       │
-    └─────────────────┘
-    ┌────────────────────────┐
-                                                              │[0]: a shape 0:1  grad_a│
-                                                              │┌┬─────────┐            │
-                                                              │││axis 0   │            │
-                                                              │├┼─────────┤            │
-                                                              │││ 1.38e+2 │            │
-                                                              │└┴─────────┘            │
-                                                              └────────────────────────┘
+    └─────────────────┘┌────────────────────────┐
+                                                             │[0]: a shape 0:1  grad_a│
+                                                             │┌┬─────────┐            │
+                                                             │││axis 0   │            │
+                                                             │├┼─────────┤            │
+                                                             │││ 1.38e+2 │            │
+                                                             │└┴─────────┘            │
+                                                             └────────────────────────┘
|}];
Tensor.print ~with_code:false ~with_grad:true `Default b;
[%expect
@@ -72,15 +71,14 @@ let%expect_test "Micrograd README basic example" =
│├┼──────┤        │
│││ 2.00 │        │
│└┴──────┘        │
-    └─────────────────┘
-    ┌────────────────────────┐
-                                                              │[2]: b shape 0:1  grad_b│
-                                                              │┌┬─────────┐            │
-                                                              │││axis 0   │            │
-                                                              │├┼─────────┤            │
-                                                              │││ 6.45e+2 │            │
-                                                              │└┴─────────┘            │
-                                                              └────────────────────────┘
+    └─────────────────┘┌────────────────────────┐
+                                                             │[2]: b shape 0:1  grad_b│
+                                                             │┌┬─────────┐            │
+                                                             │││axis 0   │            │
+                                                             │├┼─────────┤            │
+                                                             │││ 6.45e+2 │            │
+                                                             │└┴─────────┘            │
+                                                             └────────────────────────┘
|}]


let%expect_test "Micrograd half-moons example" =
File "test/hello_world_op.ml", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/hello_world_op.ml _build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/default/test/hello_world_op.ml.corrected
diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/default/test/hello_world_op.ml.corrected
index ba9d7ef..6b90c44 100644
--- a/_build/default/test/hello_world_op.ml
+++ b/_build/.sandbox/b4014eaf55f1ddcaa416f736fc652ea9/default/test/hello_world_op.ml.corrected
@@ -102,36 +102,39 @@ let%expect_test "Print constant tensor" =
let%op hey = [ (1, 2, 3); (4, 5, 6) ] in
Train.forward_and_forget backend ctx hey;
Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey;
-  [%expect {| [1.00, 2.00, 3.00; 4.00, 5.00, 6.00] |}];
+  [%expect {| [  1.00 , 2.00 , 3.00  ;  4.00 , 5.00 , 6.00  ][0]: c2x3_hey shape 1:3->0:2 |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey;
[%expect
{|
-    ┌─────────────────────────────────────────────────────────────┐
-    │[0]: [1.00, 2.00, 3.00; 4.00, 5.00, 6.00]_hey shape 1:3->0:2 │
-    │┌──────┬──────────────────┐                                  │
-    ││      │axis 1            │                                  │
-    │├──────┼──────────────────┤                                  │
-    ││axis 0│ 1.00  2.00  3.00 │                                  │
-    ││      │ 4.00  5.00  6.00 │                                  │
-    │└──────┴──────────────────┘                                  │
-    └─────────────────────────────────────────────────────────────┘
+    ┌─────────────────────────────┐
+    │[0]: c2x3_hey shape 1:3->0:2 │
+    │┌──────┬──────────────────┐  │
+    ││      │axis 1            │  │
+    │├──────┼──────────────────┤  │
+    ││axis 0│ 1.00  2.00  3.00 │  │
+    ││      │ 4.00  5.00  6.00 │  │
+    │└──────┴──────────────────┘  │
+    └─────────────────────────────┘
|}];
let%op hoo = [| [ 1; 2; 3 ]; [ 4; 5; 6 ] |] in
Train.forward_and_forget backend ctx hoo;
Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo;
-  [%expect {| [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|] |}];
+  [%expect {|
+    [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |][1]: c2x3_hoo shape
+    0:2|1:3
+    |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo;
[%expect
{|
-    ┌──────────────────────────────────────────────────────────────────┐
-    │[1]: [|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|]_hoo shape 0:2|1:3 │
-    │┌──────┬──────────────────┐                                       │
-    ││      │axis 1            │                                       │
-    │├──────┼──────────────────┤                                       │
-    ││axis 0│ 1.00  2.00  3.00 │                                       │
-    ││      │ 4.00  5.00  6.00 │                                       │
-    │└──────┴──────────────────┘                                       │
-    └──────────────────────────────────────────────────────────────────┘
+    ┌────────────────────────────┐
+    │[1]: c2x3_hoo shape 0:2|1:3 │
+    │┌──────┬──────────────────┐ │
+    ││      │axis 1            │ │
+    │├──────┼──────────────────┤ │
+    ││axis 0│ 1.00  2.00  3.00 │ │
+    ││      │ 4.00  5.00  6.00 │ │
+    │└──────┴──────────────────┘ │
+    └────────────────────────────┘
|}];
let%op hey2 =
[
@@ -145,10 +148,12 @@ let%expect_test "Print constant tensor" =
Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey2;
[%expect
{|
-    [(1.00, 2.00, 3.00), (4.00, 5.00, 6.00);
-      (7.00, 8.00, 9.00), (10.00, 11.00, 12.00);
-      (13.00, 14.00, 15.00), (16.00, 17.00, 18.00);
-      (19.00, 20.00, 21.00), (22.00, 23.00, 24.00)]
+    [
+       ( 1.00 , 2.00 , 3.00 ) , ( 4.00 , 5.00 , 6.00 )
+      ;  ( 7.00 , 8.00 , 9.00 ) , ( 10.00 , 11.00 , 12.00 )
+      ;  ( 13.00 , 14.00 , 15.00 ) , ( 16.00 , 17.00 , 18.00 )
+      ;  ( 19.00 , 20.00 , 21.00 ) , ( 22.00 , 23.00 , 24.00 )
+    ][2]: c4x2x3_hey2 shape 1:2,2:3->0:4
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey2;
[%expect
@@ -178,10 +183,12 @@ let%expect_test "Print constant tensor" =
Tensor.print ~with_code:false ~with_grad:false `Inline @@ hoo2;
[%expect
{|
-    [|[[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]];
-      [[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]];
-      [[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]];
-      [[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]]|]
+    [|
+      [ [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] ]
+      ; [ [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] ]
+      ; [ [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] ]
+      ; [ [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] ]
+    |][3]: c4x2x3_hoo2 shape 0:4|1:2,2:3
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ hoo2;
[%expect
@@ -209,10 +216,12 @@ let%expect_test "Print constant tensor" =
Tensor.print ~with_code:false ~with_grad:false `Inline @@ heyhoo;
[%expect
{|
-    [|[|[1.00; 2.00; 3.00]; [4.00; 5.00; 6.00]|];
-      [|[7.00; 8.00; 9.00]; [10.00; 11.00; 12.00]|];
-      [|[13.00; 14.00; 15.00]; [16.00; 17.00; 18.00]|];
-      [|[19.00; 20.00; 21.00]; [22.00; 23.00; 24.00]|]|]
+    [|
+      [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |]
+      ; [| [ 7.00 ; 8.00 ; 9.00 ] ; [ 10.00 ; 11.00 ; 12.00 ] |]
+      ; [| [ 13.00 ; 14.00 ; 15.00 ] ; [ 16.00 ; 17.00 ; 18.00 ] |]
+      ; [| [ 19.00 ; 20.00 ; 21.00 ] ; [ 22.00 ; 23.00 ; 24.00 ] |]
+    |][4]: c4x2x3_heyhoo shape 0:4,1:2|2:3
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo;
[%expect
@@ -241,14 +250,23 @@ let%expect_test "Print constant tensor" =
[%expect
{|
[|
-      [|[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]];
-        [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]|];
-      [|[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]];
-        [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]|];
-      [|[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]];
-        [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]|];
-      [|[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]];
-        [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]|]|]
+      [|
+        [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ]
+        ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ]
+      |]
+      ; [|
+        [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ]
+        ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ]
+      |]
+      ; [|
+        [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ]
+        ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ]
+      |]
+      ; [|
+        [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ]
+        ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ]
+      |]
+    |][5]: c4x2x3x2_heyhoo2 shape 0:4,1:2|2:3,3:2
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo2;
[%expect
@@ -295,15 +313,26 @@ let%expect_test "Print constant tensor" =
{|
[|
[|
-        [[[1.00; 31.00]; [2.00; 32.00]; [3.00; 33.00]];
-          [[4.00; 34.00]; [5.00; 35.00]; [6.00; 36.00]]];
-        [[[7.00; 37.00]; [8.00; 38.00]; [9.00; 39.00]];
-          [[10.00; 40.00]; [11.00; 41.00]; [12.00; 42.00]]]|];
-      [|
-        [[[13.00; 43.00]; [14.00; 44.00]; [15.00; 45.00]];
-          [[16.00; 46.00]; [17.00; 47.00]; [18.00; 48.00]]];
-        [[[19.00; 49.00]; [20.00; 50.00]; [21.00; 51.00]];
-          [[22.00; 52.00]; [23.00; 53.00]; [24.00; 54.00]]]|]|]
+        [
+          [ [ 1.00 ; 31.00 ] ; [ 2.00 ; 32.00 ] ; [ 3.00 ; 33.00 ] ]
+          ; [ [ 4.00 ; 34.00 ] ; [ 5.00 ; 35.00 ] ; [ 6.00 ; 36.00 ] ]
+        ]
+        ; [
+          [ [ 7.00 ; 37.00 ] ; [ 8.00 ; 38.00 ] ; [ 9.00 ; 39.00 ] ]
+          ; [ [ 10.00 ; 40.00 ] ; [ 11.00 ; 41.00 ] ; [ 12.00 ; 42.00 ] ]
+        ]
+      |]
+      ; [|
+        [
+          [ [ 13.00 ; 43.00 ] ; [ 14.00 ; 44.00 ] ; [ 15.00 ; 45.00 ] ]
+          ; [ [ 16.00 ; 46.00 ] ; [ 17.00 ; 47.00 ] ; [ 18.00 ; 48.00 ] ]
+        ]
+        ; [
+          [ [ 19.00 ; 49.00 ] ; [ 20.00 ; 50.00 ] ; [ 21.00 ; 51.00 ] ]
+          ; [ [ 22.00 ; 52.00 ] ; [ 23.00 ; 53.00 ] ; [ 24.00 ; 54.00 ] ]
+        ]
+      |]
+    |][6]: c2x2x2x3x2_heyhoo3 shape 0:2,1:2|2:2,3:3,4:2
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo3;
[%expect
@@ -355,15 +384,26 @@ let%expect_test "Print constant tensor" =
{|
[|
[
-        [[1.00, 31.00; 2.00, 32.00; 3.00, 33.00];
-          [4.00, 34.00; 5.00, 35.00; 6.00, 36.00]];
-        [[7.00, 37.00; 8.00, 38.00; 9.00, 39.00];
-          [10.00, 40.00; 11.00, 41.00; 12.00, 42.00]]];
-      [
-        [[13.00, 43.00; 14.00, 44.00; 15.00, 45.00];
-          [16.00, 46.00; 17.00, 47.00; 18.00, 48.00]];
-        [[19.00, 49.00; 20.00, 50.00; 21.00, 51.00];
-          [22.00, 52.00; 23.00, 53.00; 24.00, 54.00]]]|]
+        [
+          [  1.00 , 31.00  ;  2.00 , 32.00  ;  3.00 , 33.00  ]
+          ; [  4.00 , 34.00  ;  5.00 , 35.00  ;  6.00 , 36.00  ]
+        ]
+        ; [
+          [  7.00 , 37.00  ;  8.00 , 38.00  ;  9.00 , 39.00  ]
+          ; [  10.00 , 40.00  ;  11.00 , 41.00  ;  12.00 , 42.00  ]
+        ]
+      ]
+      ; [
+        [
+          [  13.00 , 43.00  ;  14.00 , 44.00  ;  15.00 , 45.00  ]
+          ; [  16.00 , 46.00  ;  17.00 , 47.00  ;  18.00 , 48.00  ]
+        ]
+        ; [
+          [  19.00 , 49.00  ;  20.00 , 50.00  ;  21.00 , 51.00  ]
+          ; [  22.00 , 52.00  ;  23.00 , 53.00  ;  24.00 , 54.00  ]
+        ]
+      ]
+    |][7]: c2x2x2x3x2_heyhoo4 shape 0:2|4:2->1:2,2:2,3:3
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ heyhoo4;
[%expect
@@ -462,8 +502,29 @@ let%expect_test "Big matrix" =
Tensor.print ~with_code:false ~with_grad:false `Inline zero_to_twenty;
[%expect
{|
-    [0.00; 1.00; 2.00; 3.00; 4.00; 5.00; 6.00; 7.00; 8.00; 9.00; 10.00; 11.00;
-      12.00; 13.00; 14.00; 15.00; 16.00; 17.00; 18.00; 19.00; 20.00]
+    [
+      0.00
+      ; 1.00
+      ; 2.00
+      ; 3.00
+      ; 4.00
+      ; 5.00
+      ; 6.00
+      ; 7.00
+      ; 8.00
+      ; 9.00
+      ; 10.00
+      ; 11.00
+      ; 12.00
+      ; 13.00
+      ; 14.00
+      ; 15.00
+      ; 16.00
+      ; 17.00
+      ; 18.00
+      ; 19.00
+      ; 20.00
+    ][2]: 0...20 shape 0:21
|}];
Tensor.print ~with_code:false ~with_grad:false `Default zero_to_twenty;
[%expect
(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 multicore_cc, in the config file
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 72))))
@!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity
Found true, in the config file
Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files
Not found, using default false
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191500, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214043, epoch loss=4.624456
Batch=1019, step=2220, lr=0.191000, batch loss=0.330959, epoch loss=4.955415
Batch=1079, step=2280, lr=0.190750, batch loss=0.208252, epoch loss=5.163667
Batch=1139, step=2340, lr=0.190500, batch loss=0.278359, epoch loss=5.442026
Batch=1199, step=2400, lr=0.190250, batch loss=0.220799, epoch loss=5.662825
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662825
Batch=59, step=2460, lr=0.190000, batch loss=0.230370, epoch loss=0.230370
Batch=119, step=2520, lr=0.189750, batch loss=0.195956, epoch loss=0.426326
Batch=179, step=2580, lr=0.189500, batch loss=0.221160, epoch loss=0.647486
Batch=239, step=2640, lr=0.189250, batch loss=0.328100, epoch loss=0.975586
Batch=299, step=2700, lr=0.189000, batch loss=0.202943, epoch loss=1.178529
Batch=359, step=2760, lr=0.188750, batch loss=0.289897, epoch loss=1.468427
Batch=419, step=2820, lr=0.188500, batch loss=0.281741, epoch loss=1.750167
Batch=479, step=2880, lr=0.188250, batch loss=0.264850, epoch loss=2.015017
Batch=539, step=2940, lr=0.188000, batch loss=0.203791, epoch loss=2.218808
Batch=599, step=3000, lr=0.187750, batch loss=0.248086, epoch loss=2.466894
Batch=659, step=3060, lr=0.187500, batch loss=0.345052, epoch loss=2.811946
Batch=719, step=3120, lr=0.187250, batch loss=0.343553, epoch loss=3.155499
Batch=779, step=3180, lr=0.187000, batch loss=0.366986, epoch loss=3.522485
Batch=839, step=3240, lr=0.186750, batch loss=0.321784, epoch loss=3.844269
Batch=899, step=3300, lr=0.186500, batch loss=0.283862, epoch loss=4.128131
Batch=959, step=3360, lr=0.186250, batch loss=0.214419, epoch loss=4.342550
Batch=1019, step=3420, lr=0.186000, batch loss=0.306393, epoch loss=4.648943
Batch=1079, step=3480, lr=0.185750, batch loss=0.177319, epoch loss=4.826262
Batch=1139, step=3540, lr=0.185500, batch loss=0.235573, epoch loss=5.061835
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259746
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259746
Batch=59, step=3660, lr=0.185000, batch loss=0.226545, epoch loss=0.226545
Batch=119, step=3720, lr=0.184750, batch loss=0.191990, epoch loss=0.418535
Batch=179, step=3780, lr=0.184500, batch loss=0.210596, epoch loss=0.629131
Batch=239, step=3840, lr=0.184250, batch loss=0.316671, epoch loss=0.945802
Batch=299, step=3900, lr=0.184000, batch loss=0.207871, epoch loss=1.153673
Batch=359, step=3960, lr=0.183750, batch loss=0.289016, epoch loss=1.442689
Batch=419, step=4020, lr=0.183500, batch loss=0.291000, epoch loss=1.733689
Batch=479, step=4080, lr=0.183250, batch loss=0.259799, epoch loss=1.993488
Batch=539, step=4140, lr=0.183000, batch loss=0.197473, epoch loss=2.190961
Batch=599, step=4200, lr=0.182750, batch loss=0.236659, epoch loss=2.427620
Batch=659, step=4260, lr=0.182500, batch loss=0.332865, epoch loss=2.760485
Batch=719, step=4320, lr=0.182250, batch loss=0.338195, epoch loss=3.098680
Batch=779, step=4380, lr=0.182000, batch loss=0.349447, epoch loss=3.448127
Batch=839, step=4440, lr=0.181750, batch loss=0.315970, epoch loss=3.764096
Batch=899, step=4500, lr=0.181500, batch loss=0.285926, epoch loss=4.050022
Batch=959, step=4560, lr=0.181250, batch loss=0.251717, epoch loss=4.301739
Batch=1019, step=4620, lr=0.181000, batch loss=0.363923, epoch loss=4.665663
Batch=1079, step=4680, lr=0.180750, batch loss=0.207850, epoch loss=4.873512
Batch=1139, step=4740, lr=0.180500, batch loss=0.249717, epoch loss=5.123229
Batch=1199, step=4800, lr=0.180250, batch loss=0.191077, epoch loss=5.314306
Epoch=3, step=4800, lr=0.180250, epoch loss=5.314306
Batch=59, step=4860, lr=0.180000, batch loss=0.228173, epoch loss=0.228173
Batch=119, step=4920, lr=0.179750, batch loss=0.189964, epoch loss=0.418137
Batch=179, step=4980, lr=0.179500, batch loss=0.205934, epoch loss=0.624070
Batch=239, step=5040, lr=0.179250, batch loss=0.306186, epoch loss=0.930256
Batch=299, step=5100, lr=0.179000, batch loss=0.201832, epoch loss=1.132088
Batch=359, step=5160, lr=0.178750, batch loss=0.271384, epoch loss=1.403472
Batch=419, step=5220, lr=0.178500, batch loss=0.264102, epoch loss=1.667574
Batch=479, step=5280, lr=0.178250, batch loss=0.240053, epoch loss=1.907626
Batch=539, step=5340, lr=0.178000, batch loss=0.189432, epoch loss=2.097058
Batch=599, step=5400, lr=0.177750, batch loss=0.231587, epoch loss=2.328646
Batch=659, step=5460, lr=0.177500, batch loss=0.323266, epoch loss=2.651912
Batch=719, step=5520, lr=0.177250, batch loss=0.325792, epoch loss=2.977704
Batch=779, step=5580, lr=0.177000, batch loss=0.342837, epoch loss=3.320541
Batch=839, step=5640, lr=0.176750, batch loss=0.309482, epoch loss=3.630023
Batch=899, step=5700, lr=0.176500, batch loss=0.273215, epoch loss=3.903238
Batch=959, step=5760, lr=0.176250, batch loss=0.214882, epoch loss=4.118120
Batch=1019, step=5820, lr=0.176000, batch loss=0.337905, epoch loss=4.456026
Batch=1079, step=5880, lr=0.175750, batch loss=0.190273, epoch loss=4.646299
Batch=1139, step=5940, lr=0.175500, batch loss=0.221475, epoch loss=4.867773
Batch=1199, step=6000, lr=0.175250, batch loss=0.187374, epoch loss=5.055147
Epoch=4, step=6000, lr=0.175250, epoch loss=5.055147
Batch=59, step=6060, lr=0.175000, batch loss=0.237619, epoch loss=0.237619
Batch=119, step=6120, lr=0.174750, batch loss=0.190000, epoch loss=0.427619
Batch=179, step=6180, lr=0.174500, batch loss=0.201302, epoch loss=0.628920
Batch=239, step=6240, lr=0.174250, batch loss=0.300508, epoch loss=0.929428
Batch=299, step=6300, lr=0.174000, batch loss=0.202488, epoch loss=1.131916
Batch=359, step=6360, lr=0.173750, batch loss=0.262188, epoch loss=1.394104
Batch=419, step=6420, lr=0.173500, batch loss=0.257794, epoch loss=1.651898
Batch=479, step=6480, lr=0.173250, batch loss=0.234570, epoch loss=1.886469
Batch=539, step=6540, lr=0.173000, batch loss=0.191027, epoch loss=2.077495
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Batch=659, step=6660, lr=0.172500, batch loss=0.312775, epoch loss=2.622330
Batch=719, step=6720, lr=0.172250, batch loss=0.315738, epoch loss=2.938068
Batch=779, step=6780, lr=0.172000, batch loss=0.328587, epoch loss=3.266654
Batch=839, step=6840, lr=0.171750, batch loss=0.300657, epoch loss=3.567311
Batch=899, step=6900, lr=0.171500, batch loss=0.270647, epoch loss=3.837958
Batch=959, step=6960, lr=0.171250, batch loss=0.206002, epoch loss=4.043960
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Batch=1079, step=7080, lr=0.170750, batch loss=0.183537, epoch loss=4.557453
Batch=1139, step=7140, lr=0.170500, batch loss=0.215923, epoch loss=4.773375
Batch=1199, step=7200, lr=0.170250, batch loss=0.182411, epoch loss=4.955786
Epoch=5, step=7200, lr=0.170250, epoch loss=4.955786
Batch=59, step=7260, lr=0.169750, batch loss=0.235364, epoch loss=0.235364
Batch=119, step=7320, lr=0.169750, batch loss=0.183065, epoch loss=0.418429
Batch=179, step=7380, lr=0.169500, batch loss=0.195716, epoch loss=0.614146
Batch=239, step=7440, lr=0.169250, batch loss=0.293875, epoch loss=0.908020
Batch=299, step=7500, lr=0.169000, batch loss=0.203628, epoch loss=1.111649
Batch=359, step=7560, lr=0.168750, batch loss=0.264832, epoch loss=1.376481
Batch=419, step=7620, lr=0.168500, batch loss=0.258730, epoch loss=1.635210
Batch=479, step=7680, lr=0.168250, batch loss=0.234439, epoch loss=1.869649
Batch=539, step=7740, lr=0.168000, batch loss=0.191467, epoch loss=2.061116
Batch=599, step=7800, lr=0.167750, batch loss=0.228479, epoch loss=2.289595
Batch=659, step=7860, lr=0.167500, batch loss=0.304517, epoch loss=2.594112
Batch=719, step=7920, lr=0.167250, batch loss=0.310090, epoch loss=2.904202
Batch=779, step=7980, lr=0.167000, batch loss=0.328924, epoch loss=3.233125
Batch=839, step=8040, lr=0.166750, batch loss=0.292751, epoch loss=3.525877
Batch=899, step=8100, lr=0.166500, batch loss=0.262315, epoch loss=3.788192
Batch=959, step=8160, lr=0.166250, batch loss=0.198287, epoch loss=3.986478
Batch=1019, step=8220, lr=0.166000, batch loss=0.327056, epoch loss=4.313534
Batch=1079, step=8280, lr=0.165750, batch loss=0.191021, epoch loss=4.504555
Batch=1139, step=8340, lr=0.165500, batch loss=0.224545, epoch loss=4.729100
Batch=1199, step=8400, lr=0.165250, batch loss=0.173853, epoch loss=4.902953
Epoch=6, step=8400, lr=0.165250, epoch loss=4.902953
Batch=59, step=8460, lr=0.165000, batch loss=0.209518, epoch loss=0.209518
Batch=119, step=8520, lr=0.164750, batch loss=0.173624, epoch loss=0.383141
Batch=179, step=8580, lr=0.164500, batch loss=0.188470, epoch loss=0.571612
Batch=239, step=8640, lr=0.164250, batch loss=0.279450, epoch loss=0.851062
Batch=299, step=8700, lr=0.164000, batch loss=0.191845, epoch loss=1.042907
Batch=359, step=8760, lr=0.163750, batch loss=0.248049, epoch loss=1.290956
Batch=419, step=8820, lr=0.163500, batch loss=0.246465, epoch loss=1.537421
Batch=479, step=8880, lr=0.163250, batch loss=0.227529, epoch loss=1.764950
Batch=539, step=8940, lr=0.163000, batch loss=0.179515, epoch loss=1.944465
Batch=599, step=9000, lr=0.162750, batch loss=0.216075, epoch loss=2.160540
Batch=659, step=9060, lr=0.162500, batch loss=0.295853, epoch loss=2.456392
Batch=719, step=9120, lr=0.162250, batch loss=0.294524, epoch loss=2.750917
Batch=779, step=9180, lr=0.162000, batch loss=0.317611, epoch loss=3.068528
Batch=839, step=9240, lr=0.161750, batch loss=0.286198, epoch loss=3.354726
Batch=899, step=9300, lr=0.161500, batch loss=0.251491, epoch loss=3.606217
Batch=959, step=9360, lr=0.161250, batch loss=0.199998, epoch loss=3.806216
Batch=1019, step=9420, lr=0.161000, batch loss=0.306951, epoch loss=4.113166
Batch=1079, step=9480, lr=0.160750, batch loss=0.196074, epoch loss=4.309240
Batch=1139, step=9540, lr=0.160500, batch loss=0.213450, epoch loss=4.522690
Batch=1199, step=9600, lr=0.160250, batch loss=0.167077, epoch loss=4.689767
Epoch=7, step=9600, lr=0.160250, epoch loss=4.689767
Batch=59, step=9660, lr=0.160000, batch loss=0.213278, epoch loss=0.213278
Batch=119, step=9720, lr=0.159750, batch loss=0.169079, epoch loss=0.382356
Batch=179, step=9780, lr=0.159500, batch loss=0.178709, epoch loss=0.561065
Batch=239, step=9840, lr=0.159250, batch loss=0.261129, epoch loss=0.822195
Batch=299, step=9900, lr=0.159000, batch loss=0.186051, epoch loss=1.008246
Batch=359, step=9960, lr=0.158750, batch loss=0.239542, epoch loss=1.247787
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Batch=479, step=10080, lr=0.158250, batch loss=0.213601, epoch loss=1.693708
Batch=539, step=10140, lr=0.158000, batch loss=0.170613, epoch loss=1.864321
Batch=599, step=10200, lr=0.157750, batch loss=0.201150, epoch loss=2.065471
Batch=659, step=10260, lr=0.157500, batch loss=0.281892, epoch loss=2.347364
Batch=719, step=10320, lr=0.157250, batch loss=0.285667, epoch loss=2.633031
Batch=779, step=10380, lr=0.157000, batch loss=0.295194, epoch loss=2.928225
Batch=839, step=10440, lr=0.156750, batch loss=0.273416, epoch loss=3.201641
Batch=899, step=10500, lr=0.156500, batch loss=0.235426, epoch loss=3.437067
Batch=959, step=10560, lr=0.156250, batch loss=0.181532, epoch loss=3.618599
Batch=1019, step=10620, lr=0.156000, batch loss=0.296323, epoch loss=3.914922
Batch=1079, step=10680, lr=0.155750, batch loss=0.178202, epoch loss=4.093124
Batch=1139, step=10740, lr=0.155500, batch loss=0.203987, epoch loss=4.297111
Batch=1199, step=10800, lr=0.155250, batch loss=0.154561, epoch loss=4.451672
Epoch=8, step=10800, lr=0.155250, epoch loss=4.451672
Batch=59, step=10860, lr=0.155000, batch loss=0.176934, epoch loss=0.176934
Batch=119, step=10920, lr=0.154750, batch loss=0.150765, epoch loss=0.327699
Batch=179, step=10980, lr=0.154500, batch loss=0.167443, epoch loss=0.495142
Batch=239, step=11040, lr=0.154250, batch loss=0.247211, epoch loss=0.742354
Batch=299, step=11100, lr=0.154000, batch loss=0.165857, epoch loss=0.908211
Batch=359, step=11160, lr=0.153750, batch loss=0.222148, epoch loss=1.130359
Batch=419, step=11220, lr=0.153500, batch loss=0.227565, epoch loss=1.357924
Batch=479, step=11280, lr=0.153250, batch loss=0.202079, epoch loss=1.560003
Batch=539, step=11340, lr=0.153000, batch loss=0.158958, epoch loss=1.718962
Batch=599, step=11400, lr=0.152750, batch loss=0.178305, epoch loss=1.897267
Batch=659, step=11460, lr=0.152500, batch loss=0.265317, epoch loss=2.162584
Batch=719, step=11520, lr=0.152250, batch loss=0.252448, epoch loss=2.415032
Batch=779, step=11580, lr=0.152000, batch loss=0.271840, epoch loss=2.686872
Batch=839, step=11640, lr=0.151750, batch loss=0.254803, epoch loss=2.941674
Batch=899, step=11700, lr=0.151500, batch loss=0.212353, epoch loss=3.154028
Batch=959, step=11760, lr=0.151250, batch loss=0.167284, epoch loss=3.321311
Batch=1019, step=11820, lr=0.151000, batch loss=0.263864, epoch loss=3.585175
Batch=1079, step=11880, lr=0.150750, batch loss=0.151099, epoch loss=3.736274
Batch=1139, step=11940, lr=0.150500, batch loss=0.184755, epoch loss=3.921029
Batch=1199, step=12000, lr=0.150250, batch loss=0.139488, epoch loss=4.060517
Epoch=9, step=12000, lr=0.150250, epoch loss=4.060517
Batch=59, step=12060, lr=0.150000, batch loss=0.157818, epoch loss=0.157818
Batch=119, step=12120, lr=0.149750, batch loss=0.128004, epoch loss=0.285822
Batch=179, step=12180, lr=0.149500, batch loss=0.149692, epoch loss=0.435514
Batch=239, step=12240, lr=0.149250, batch loss=0.222345, epoch loss=0.657860
Batch=299, step=12300, lr=0.149000, batch loss=0.141021, epoch loss=0.798880
Batch=359, step=12360, lr=0.148750, batch loss=0.195496, epoch loss=0.994376
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Batch=479, step=12480, lr=0.148250, batch loss=0.178186, epoch loss=1.378230
Batch=539, step=12540, lr=0.148000, batch loss=0.141851, epoch loss=1.520081
Batch=599, step=12600, lr=0.147750, batch loss=0.149953, epoch loss=1.670034
Batch=659, step=12660, lr=0.147500, batch loss=0.224204, epoch loss=1.894239
Batch=719, step=12720, lr=0.147250, batch loss=0.235383, epoch loss=2.129621
Batch=779, step=12780, lr=0.147000, batch loss=0.258847, epoch loss=2.388468
Batch=839, step=12840, lr=0.146750, batch loss=0.232712, epoch loss=2.621180
Batch=899, step=12900, lr=0.146500, batch loss=0.216222, epoch loss=2.837402
Batch=959, step=12960, lr=0.146250, batch loss=0.150762, epoch loss=2.988164
Batch=1019, step=13020, lr=0.146000, batch loss=0.263400, epoch loss=3.251563
Batch=1079, step=13080, lr=0.145750, batch loss=0.110869, epoch loss=3.362432
Batch=1139, step=13140, lr=0.145500, batch loss=0.156497, epoch loss=3.518930
Batch=1199, step=13200, lr=0.145250, batch loss=0.118434, epoch loss=3.637364
Epoch=10, step=13200, lr=0.145250, epoch loss=3.637364
Batch=59, step=13260, lr=0.145000, batch loss=0.141206, epoch loss=0.141206
Batch=119, step=13320, lr=0.144750, batch loss=0.120313, epoch loss=0.261519
Batch=179, step=13380, lr=0.144500, batch loss=0.128651, epoch loss=0.390170
Batch=239, step=13440, lr=0.144250, batch loss=0.193804, epoch loss=0.583974
Batch=299, step=13500, lr=0.144000, batch loss=0.116029, epoch loss=0.700003
Batch=359, step=13560, lr=0.143750, batch loss=0.158366, epoch loss=0.858369
Batch=419, step=13620, lr=0.143500, batch loss=0.155978, epoch loss=1.014347
Batch=479, step=13680, lr=0.143250, batch loss=0.140950, epoch loss=1.155297
Batch=539, step=13740, lr=0.143000, batch loss=0.120546, epoch loss=1.275843
Batch=599, step=13800, lr=0.142750, batch loss=0.119843, epoch loss=1.395687
Batch=659, step=13860, lr=0.142500, batch loss=0.175656, epoch loss=1.571342
Batch=719, step=13920, lr=0.142250, batch loss=0.175403, epoch loss=1.746745
Batch=779, step=13980, lr=0.142000, batch loss=0.196294, epoch loss=1.943039
Batch=839, step=14040, lr=0.141750, batch loss=0.185742, epoch loss=2.128781
Batch=899, step=14100, lr=0.141500, batch loss=0.156730, epoch loss=2.285511
Batch=959, step=14160, lr=0.141250, batch loss=0.132366, epoch loss=2.417877
Batch=1019, step=14220, lr=0.141000, batch loss=0.294484, epoch loss=2.712361
Batch=1079, step=14280, lr=0.140750, batch loss=0.083186, epoch loss=2.795548
Batch=1139, step=14340, lr=0.140500, batch loss=0.126121, epoch loss=2.921668
Batch=1199, step=14400, lr=0.140250, batch loss=0.093143, epoch loss=3.014812
Epoch=11, step=14400, lr=0.140250, epoch loss=3.014812
Batch=59, step=14460, lr=0.140000, batch loss=0.116820, epoch loss=0.116820
Batch=119, step=14520, lr=0.139750, batch loss=0.106424, epoch loss=0.223244
Batch=179, step=14580, lr=0.139500, batch loss=0.103974, epoch loss=0.327218
Batch=239, step=14640, lr=0.139250, batch loss=0.139032, epoch loss=0.466249
Batch=299, step=14700, lr=0.139000, batch loss=0.079869, epoch loss=0.546119
Batch=359, step=14760, lr=0.138750, batch loss=0.116914, epoch loss=0.663032
Batch=419, step=14820, lr=0.138500, batch loss=0.124468, epoch loss=0.787500
Batch=479, step=14880, lr=0.138250, batch loss=0.102848, epoch loss=0.890349
Batch=539, step=14940, lr=0.138000, batch loss=0.115569, epoch loss=1.005918
Batch=599, step=15000, lr=0.137750, batch loss=0.087375, epoch loss=1.093293
Batch=659, step=15060, lr=0.137500, batch loss=0.125192, epoch loss=1.218485
Batch=719, step=15120, lr=0.137250, batch loss=0.130086, epoch loss=1.348571
Batch=779, step=15180, lr=0.137000, batch loss=0.162580, epoch loss=1.511151
Batch=839, step=15240, lr=0.136750, batch loss=0.156395, epoch loss=1.667546
Batch=899, step=15300, lr=0.136500, batch loss=0.252490, epoch loss=1.920036
Batch=959, step=15360, lr=0.136250, batch loss=0.062696, epoch loss=1.982732
Batch=1019, step=15420, lr=0.136000, batch loss=0.142263, epoch loss=2.124995
Batch=1079, step=15480, lr=0.135750, batch loss=0.041075, epoch loss=2.166069
Batch=1139, step=15540, lr=0.135500, batch loss=0.100176, epoch loss=2.266245
Batch=1199, step=15600, lr=0.135250, batch loss=0.060526, epoch loss=2.326771
Epoch=12, step=15600, lr=0.135250, epoch loss=2.326771
Batch=59, step=15660, lr=0.135000, batch loss=0.078891, epoch loss=0.078891
Batch=119, step=15720, lr=0.134750, batch loss=0.117549, epoch loss=0.196440
Batch=179, step=15780, lr=0.134500, batch loss=0.090741, epoch loss=0.287181
Batch=239, step=15840, lr=0.134250, batch loss=0.092761, epoch loss=0.379943
Batch=299, step=15900, lr=0.134000, batch loss=0.039255, epoch loss=0.419197
Batch=359, step=15960, lr=0.133750, batch loss=0.082159, epoch loss=0.501356
Batch=419, step=16020, lr=0.133500, batch loss=0.077718, epoch loss=0.579075
Batch=479, step=16080, lr=0.133250, batch loss=0.056723, epoch loss=0.635798
Batch=539, step=16140, lr=0.133000, batch loss=0.068061, epoch loss=0.703859
Batch=599, step=16200, lr=0.132750, batch loss=0.170364, epoch loss=0.874223
Batch=659, step=16260, lr=0.132500, batch loss=0.095306, epoch loss=0.969530
Batch=719, step=16320, lr=0.132250, batch loss=0.125559, epoch loss=1.095089
Batch=779, step=16380, lr=0.132000, batch loss=0.284426, epoch loss=1.379515
Batch=839, step=16440, lr=0.131750, batch loss=0.092051, epoch loss=1.471566
Batch=899, step=16500, lr=0.131500, batch loss=0.079291, epoch loss=1.550857
Batch=959, step=16560, lr=0.131250, batch loss=0.031000, epoch loss=1.581857
Batch=1019, step=16620, lr=0.131000, batch loss=0.059569, epoch loss=1.641426
Batch=1079, step=16680, lr=0.130750, batch loss=0.059924, epoch loss=1.701350
Batch=1139, step=16740, lr=0.130500, batch loss=0.101704, epoch loss=1.803054
Batch=1199, step=16800, lr=0.130250, batch loss=0.048874, epoch loss=1.851928
Epoch=13, step=16800, lr=0.130250, epoch loss=1.851928
Batch=59, step=16860, lr=0.130000, batch loss=0.035247, epoch loss=0.035247
Batch=119, step=16920, lr=0.129750, batch loss=0.034510, epoch loss=0.069757
Batch=179, step=16980, lr=0.129500, batch loss=0.043677, epoch loss=0.113434
Batch=239, step=17040, lr=0.129250, batch loss=0.058545, epoch loss=0.171979
Batch=299, step=17100, lr=0.129000, batch loss=0.018027, epoch loss=0.190006
Batch=359, step=17160, lr=0.128750, batch loss=0.041813, epoch loss=0.231819
Batch=419, step=17220, lr=0.128500, batch loss=0.044688, epoch loss=0.276508
Batch=479, step=17280, lr=0.128250, batch loss=0.024735, epoch loss=0.301242
Batch=539, step=17340, lr=0.128000, batch loss=0.047879, epoch loss=0.349121
Batch=599, step=17400, lr=0.127750, batch loss=0.035430, epoch loss=0.384552
Batch=659, step=17460, lr=0.127500, batch loss=0.047299, epoch loss=0.431850
Batch=719, step=17520, lr=0.127250, batch loss=0.038555, epoch loss=0.470405
Batch=779, step=17580, lr=0.127000, batch loss=0.039167, epoch loss=0.509573
Batch=839, step=17640, lr=0.126750, batch loss=0.059692, epoch loss=0.569265
Batch=899, step=17700, lr=0.126500, batch loss=0.065444, epoch loss=0.634709
Batch=959, step=17760, lr=0.126250, batch loss=0.031659, epoch loss=0.666368
Batch=1019, step=17820, lr=0.126000, batch loss=0.086868, epoch loss=0.753236
Batch=1079, step=17880, lr=0.125750, batch loss=0.016078, epoch loss=0.769314
Batch=1139, step=17940, lr=0.125500, batch loss=0.038342, epoch loss=0.807656
Batch=1199, step=18000, lr=0.125250, batch loss=0.014608, epoch loss=0.822264
Epoch=14, step=18000, lr=0.125250, epoch loss=0.822264
Batch=59, step=18060, lr=0.125000, batch loss=0.012516, epoch loss=0.012516
Batch=119, step=18120, lr=0.124750, batch loss=0.028130, epoch loss=0.040646
Batch=179, step=18180, lr=0.124500, batch loss=0.076011, epoch loss=0.116657
Batch=239, step=18240, lr=0.124250, batch loss=0.036253, epoch loss=0.152910
Batch=299, step=18300, lr=0.124000, batch loss=0.016994, epoch loss=0.169904
Batch=359, step=18360, lr=0.123750, batch loss=0.044230, epoch loss=0.214133
Batch=419, step=18420, lr=0.123500, batch loss=0.029473, epoch loss=0.243607
Batch=479, step=18480, lr=0.123250, batch loss=0.013772, epoch loss=0.257378
Batch=539, step=18540, lr=0.123000, batch loss=0.021124, epoch loss=0.278502
Batch=599, step=18600, lr=0.122750, batch loss=0.027564, epoch loss=0.306066
Batch=659, step=18660, lr=0.122500, batch loss=0.028164, epoch loss=0.334230
Batch=719, step=18720, lr=0.122250, batch loss=0.046412, epoch loss=0.380642
Batch=779, step=18780, lr=0.122000, batch loss=0.101895, epoch loss=0.482536
Batch=839, step=18840, lr=0.121750, batch loss=0.059379, epoch loss=0.541916
Batch=899, step=18900, lr=0.121500, batch loss=0.069800, epoch loss=0.611716
Batch=959, step=18960, lr=0.121250, batch loss=0.014063, epoch loss=0.625778
Batch=1019, step=19020, lr=0.121000, batch loss=0.017002, epoch loss=0.642781
Batch=1079, step=19080, lr=0.120750, batch loss=0.007783, epoch loss=0.650564
Batch=1139, step=19140, lr=0.120500, batch loss=0.024170, epoch loss=0.674734
Batch=1199, step=19200, lr=0.120250, batch loss=0.009566, epoch loss=0.684300
Epoch=15, step=19200, lr=0.120250, epoch loss=0.684300
Batch=59, step=19260, lr=0.120000, batch loss=0.004501, epoch loss=0.004501
Batch=119, step=19320, lr=0.119750, batch loss=0.020670, epoch loss=0.025171
Batch=179, step=19380, lr=0.119500, batch loss=0.056860, epoch loss=0.082031
Batch=239, step=19440, lr=0.119250, batch loss=0.024980, epoch loss=0.107010
Batch=299, step=19500, lr=0.119000, batch loss=0.014976, epoch loss=0.121987
Batch=359, step=19560, lr=0.118750, batch loss=0.035466, epoch loss=0.157453
Batch=419, step=19620, lr=0.118500, batch loss=0.022245, epoch loss=0.179697
Batch=479, step=19680, lr=0.118250, batch loss=0.008753, epoch loss=0.188450
Batch=539, step=19740, lr=0.118000, batch loss=0.018159, epoch loss=0.206610
Batch=599, step=19800, lr=0.117750, batch loss=0.022661, epoch loss=0.229271
Batch=659, step=19860, lr=0.117500, batch loss=0.018312, epoch loss=0.247583
Batch=719, step=19920, lr=0.117250, batch loss=0.040406, epoch loss=0.287989
Batch=779, step=19980, lr=0.117000, batch loss=0.077335, epoch loss=0.365324
Batch=839, step=20040, lr=0.116750, batch loss=0.030693, epoch loss=0.396017
Batch=899, step=20100, lr=0.116500, batch loss=0.034709, epoch loss=0.430726
Batch=959, step=20160, lr=0.116250, batch loss=0.011588, epoch loss=0.442314
Batch=1019, step=20220, lr=0.116000, batch loss=0.013476, epoch loss=0.455790
Batch=1079, step=20280, lr=0.115750, batch loss=0.003238, epoch loss=0.459028
Batch=1139, step=20340, lr=0.115500, batch loss=0.014972, epoch loss=0.473999
Batch=1199, step=20400, lr=0.115250, batch loss=0.005651, epoch loss=0.479651
Epoch=16, step=20400, lr=0.115250, epoch loss=0.479651
Batch=59, step=20460, lr=0.115000, batch loss=0.002910, epoch loss=0.002910
Batch=119, step=20520, lr=0.114750, batch loss=0.010389, epoch loss=0.013299
Batch=179, step=20580, lr=0.114500, batch loss=0.026470, epoch loss=0.039769
Batch=239, step=20640, lr=0.114250, batch loss=0.014642, epoch loss=0.054411
Batch=299, step=20700, lr=0.114000, batch loss=0.002859, epoch loss=0.057270
Batch=359, step=20760, lr=0.113750, batch loss=0.015208, epoch loss=0.072478
Batch=419, step=20820, lr=0.113500, batch loss=0.014932, epoch loss=0.087410
Batch=479, step=20880, lr=0.113250, batch loss=0.005018, epoch loss=0.092428
Batch=539, step=20940, lr=0.113000, batch loss=0.015992, epoch loss=0.108420
Batch=599, step=21000, lr=0.112750, batch loss=0.018992, epoch loss=0.127412
Batch=659, step=21060, lr=0.112500, batch loss=0.015174, epoch loss=0.142586
Batch=719, step=21120, lr=0.112250, batch loss=0.040879, epoch loss=0.183465
Batch=779, step=21180, lr=0.112000, batch loss=0.071797, epoch loss=0.255262
Batch=839, step=21240, lr=0.111750, batch loss=0.025888, epoch loss=0.281149
Batch=899, step=21300, lr=0.111500, batch loss=0.034764, epoch loss=0.315914
Batch=959, step=21360, lr=0.111250, batch loss=0.010256, epoch loss=0.326169
Batch=1019, step=21420, lr=0.111000, batch loss=0.011309, epoch loss=0.337478
Batch=1079, step=21480, lr=0.110750, batch loss=0.000747, epoch loss=0.338225
Batch=1139, step=21540, lr=0.110500, batch loss=0.013017, epoch loss=0.351243
Batch=1199, step=21600, lr=0.110250, batch loss=0.005243, epoch loss=0.356486
Epoch=17, step=21600, lr=0.110250, epoch loss=0.356486
Batch=59, step=21660, lr=0.110000, batch loss=0.002271, epoch loss=0.002271
Batch=119, step=21720, lr=0.109750, batch loss=0.006377, epoch loss=0.008648
Batch=179, step=21780, lr=0.109500, batch loss=0.012974, epoch loss=0.021622
Batch=239, step=21840, lr=0.109250, batch loss=0.009894, epoch loss=0.031516
Batch=299, step=21900, lr=0.109000, batch loss=0.015340, epoch loss=0.046856
Batch=359, step=21960, lr=0.108750, batch loss=0.017146, epoch loss=0.064002
Batch=419, step=22020, lr=0.108500, batch loss=0.012583, epoch loss=0.076585
Batch=479, step=22080, lr=0.108250, batch loss=0.002290, epoch loss=0.078876
Batch=539, step=22140, lr=0.108000, batch loss=0.016548, epoch loss=0.095423
Batch=599, step=22200, lr=0.107750, batch loss=0.015975, epoch loss=0.111398
Batch=659, step=22260, lr=0.107500, batch loss=0.014041, epoch loss=0.125439
Batch=719, step=22320, lr=0.107250, batch loss=0.020867, epoch loss=0.146306
Batch=779, step=22380, lr=0.107000, batch loss=0.033067, epoch loss=0.179372
Batch=839, step=22440, lr=0.106750, batch loss=0.027555, epoch loss=0.206927
Batch=899, step=22500, lr=0.106500, batch loss=0.025737, epoch loss=0.232664
Batch=959, step=22560, lr=0.106250, batch loss=0.008631, epoch loss=0.241295
Batch=1019, step=22620, lr=0.106000, batch loss=0.008717, epoch loss=0.250012
Batch=1079, step=22680, lr=0.105750, batch loss=0.000621, epoch loss=0.250633
Batch=1139, step=22740, lr=0.105500, batch loss=0.010587, epoch loss=0.261220
Batch=1199, step=22800, lr=0.105250, batch loss=0.004708, epoch loss=0.265928
Epoch=18, step=22800, lr=0.105250, epoch loss=0.265928
Batch=59, step=22860, lr=0.105000, batch loss=0.001655, epoch loss=0.001655
Batch=119, step=22920, lr=0.104750, batch loss=0.005394, epoch loss=0.007050
Batch=179, step=22980, lr=0.104500, batch loss=0.011291, epoch loss=0.018340
Batch=239, step=23040, lr=0.104250, batch loss=0.008966, epoch loss=0.027306
Batch=299, step=23100, lr=0.104000, batch loss=0.009335, epoch loss=0.036641
Batch=359, step=23160, lr=0.103750, batch loss=0.010985, epoch loss=0.047627
Batch=419, step=23220, lr=0.103500, batch loss=0.010689, epoch loss=0.058316
Batch=479, step=23280, lr=0.103250, batch loss=0.002728, epoch loss=0.061044
Batch=539, step=23340, lr=0.103000, batch loss=0.016647, epoch loss=0.077690
Batch=599, step=23400, lr=0.102750, batch loss=0.014073, epoch loss=0.091763
Batch=659, step=23460, lr=0.102500, batch loss=0.010632, epoch loss=0.102395
Batch=719, step=23520, lr=0.102250, batch loss=0.015326, epoch loss=0.117721
Batch=779, step=23580, lr=0.102000, batch loss=0.022926, epoch loss=0.140647
Batch=839, step=23640, lr=0.101750, batch loss=0.025080, epoch loss=0.165727
Batch=899, step=23700, lr=0.101500, batch loss=0.023206, epoch loss=0.188933
Batch=959, step=23760, lr=0.101250, batch loss=0.009093, epoch loss=0.198026
Batch=1019, step=23820, lr=0.101000, batch loss=0.008275, epoch loss=0.206301
Batch=1079, step=23880, lr=0.100750, batch loss=0.000666, epoch loss=0.206967
Batch=1139, step=23940, lr=0.100500, batch loss=0.009476, epoch loss=0.216443
Batch=1199, step=24000, lr=0.100250, batch loss=0.004491, epoch loss=0.220935
Epoch=19, step=24000, lr=0.100250, epoch loss=0.220935


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
"/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1
2025-05-22 12:20.32: Job failed: Failed: Build failed