2025-07-12 12:51.58: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (166b2f63b9fa9e2b6f88b16530142b364ba817b4) (linux-x86_64:ubuntu-24.04-5.3_opam-2.3)
Base: ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:2af7a2f9fff9a3e98a2af885aaa477769d5a5059e1275271f7e2dbdda1ed161c
Opam project build
To reproduce locally:
git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 166b2f63
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:2af7a2f9fff9a3e98a2af885aaa477769d5a5059e1275271f7e2dbdda1ed161c
# ubuntu-24.04-5.3_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 64169c3d1d6774ef4ce0fcc471269bb09cd215f5 || git fetch origin master) && git reset -q --hard 64169c3d1d6774ef4ce0fcc471269bb09cd215f5 && 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.v0.17.3 base-bigarray.base base-bytes.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 camlzip.1.13 cmdliner.1.3.0 conf-libcurl.2 conf-libffi.2.0.0 conf-pkg-config.4 conf-zlib.1 cppo.1.8.0 csexp.1.5.2 csv.2.4 ctypes.0.23.0 ctypes-foreign.0.23.0 curl.0.10.0 dune.3.19.1 dune-configurator.3.19.1 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.9.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.6 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.4.0.1 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.6.1.0 ppx_enumerate.v0.17.0 ppx_expect.v0.17.3 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.2 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.1 ppx_minidebug.2.3.0 ppx_optcomp.v0.17.1 ppx_sexp_conv.v0.17.1 ppx_string.v0.17.0 ppx_variants_conv.v0.17.1 ppxlib.0.36.0 ppxlib_jane.v0.17.4 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.1.13.2 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
2025-07-12 12:51.58: Using cache hint "ahrefs/ocannl-ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:2af7a2f9fff9a3e98a2af885aaa477769d5a5059e1275271f7e2dbdda1ed161c-ubuntu-24.04-5.3_opam-2.3-ee06dfbb3e21290708c2c8a6224283e3"
2025-07-12 12:51.58: Using OBuilder spec:
((from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:2af7a2f9fff9a3e98a2af885aaa477769d5a5059e1275271f7e2dbdda1ed161c)
(comment ubuntu-24.04-5.3_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 64169c3d1d6774ef4ce0fcc471269bb09cd215f5 || git fetch origin master) && git reset -q --hard 64169c3d1d6774ef4ce0fcc471269bb09cd215f5 && 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.v0.17.3 base-bigarray.base base-bytes.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 camlzip.1.13 cmdliner.1.3.0 conf-libcurl.2 conf-libffi.2.0.0 conf-pkg-config.4 conf-zlib.1 cppo.1.8.0 csexp.1.5.2 csv.2.4 ctypes.0.23.0 ctypes-foreign.0.23.0 curl.0.10.0 dune.3.19.1 dune-configurator.3.19.1 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.9.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.6 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.4.0.1 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.6.1.0 ppx_enumerate.v0.17.0 ppx_expect.v0.17.3 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.2 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.1 ppx_minidebug.2.3.0 ppx_optcomp.v0.17.1 ppx_sexp_conv.v0.17.1 ppx_string.v0.17.0 ppx_variants_conv.v0.17.1 ppxlib.0.36.0 ppxlib_jane.v0.17.4 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.1.13.2 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"))
)
2025-07-12 12:51.58: Waiting for resource in pool OCluster
2025-07-12 12:51.59: Waiting for worker…
2025-07-12 12:51.59: Got resource from pool OCluster
Building on laodoke.caelum.ci.dev
HEAD is now at dbff017f Fix missing reshape in Tnode.create_with_reshape
HEAD is now at 166b2f63 Better naming Ndarray.apply
(from ocaml/opam:ubuntu-24.04-ocaml-5.3@sha256:2af7a2f9fff9a3e98a2af885aaa477769d5a5059e1275271f7e2dbdda1ed161c)
2025-07-12 12:51.59 ---> using "d8ceb4e48ca709c912639b3506e26680cad0ff922638e05ddd696e10af00aebf" from cache
/: (comment ubuntu-24.04-5.3_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"))
2025-07-12 12:51.59 ---> using "05919b931530e00745d582b19d2e04972afd91e999613b00118d5d13bdd14580" 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.
Continue? [y/n] y
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.
[NOTE] The 'jobs' option was reset, its value was 255 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=255 --global
Format upgrade done.
<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-07-12 12:51.59 ---> using "7fabde6b31484981e3eff355b50514bedf0bfb5b7e52de3f7d74f1ede7dcfab1" from cache
/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-142-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-07-12 12:51.59 ---> using "bfbf37c79544420e37bcbdb29ea209683bc4a79f165481820376cc64808090b2" from cache
/src: (workdir /src)
/src: (run (shell "sudo chown opam /src"))
2025-07-12 12:51.59 ---> using "07f67110c554469d1d642ddad8f6b0ad5027d7c484cb66c7cfc9a2fc9f62c3d8" from cache
/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 64169c3d1d6774ef4ce0fcc471269bb09cd215f5 || git fetch origin master) && git reset -q --hard 64169c3d1d6774ef4ce0fcc471269bb09cd215f5 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch master -> FETCH_HEAD
6dea2f9390..0094db1438 master -> origin/master
64169c3d1d Merge pull request #28149 from dbuenzli/b0-publish-logs.0.9.0
<><> 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)
2025-07-12 12:51.59 ---> using "4a7f480b35957651f8e4c0abbf03e366fad2084359fa5d3463a4b54abb905609" from cache
/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-07-12 12:51.59 ---> using "81957068d40e7632a475ac31d468f1d066cb03a9fb9fd8afab16de97465bd3f7" 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)
2025-07-12 12:51.59 ---> using "5161b62e2de2928aa39280a889079c36665f899e213fddaab62d27038257d20b" from cache
/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-07-12 12:51.59 ---> using "b84030304df2a6b24b17229882f4786fea0182405e488c5af0f7e11eda14927a" from cache
/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.3 base-bigarray.base base-bytes.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 camlzip.1.13 cmdliner.1.3.0 conf-libcurl.2 conf-libffi.2.0.0 conf-pkg-config.4 conf-zlib.1 cppo.1.8.0 csexp.1.5.2 csv.2.4 ctypes.0.23.0 ctypes-foreign.0.23.0 curl.0.10.0 dune.3.19.1 dune-configurator.3.19.1 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.9.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.6 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.4.0.1 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.6.1.0 ppx_enumerate.v0.17.0 ppx_expect.v0.17.3 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.2 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.1 ppx_minidebug.2.3.0 ppx_optcomp.v0.17.1 ppx_sexp_conv.v0.17.1 ppx_string.v0.17.0 ppx_variants_conv.v0.17.1 ppxlib.0.36.0 ppxlib_jane.v0.17.4 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.1.13.2 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://security.ubuntu.com/ubuntu noble-security InRelease [126 kB]
- Hit:2 http://archive.ubuntu.com/ubuntu noble InRelease
- Get:3 http://archive.ubuntu.com/ubuntu noble-updates InRelease [126 kB]
- Get:4 http://archive.ubuntu.com/ubuntu noble-backports InRelease [126 kB]
- Get:5 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Packages [1735 kB]
- Get:6 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Packages [1124 kB]
- Get:7 http://security.ubuntu.com/ubuntu noble-security/main amd64 Packages [1239 kB]
- Get:8 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 Packages [1434 kB]
- Get:9 http://archive.ubuntu.com/ubuntu noble-updates/restricted amd64 Packages [1800 kB]
- Get:10 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 Packages [1568 kB]
- Get:11 http://archive.ubuntu.com/ubuntu noble-backports/universe amd64 Packages [33.0 kB]
- Get:12 http://archive.ubuntu.com/ubuntu noble-backports/main amd64 Packages [48.8 kB]
- Fetched 9360 kB in 1s (12.4 MB/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:
libcurl4-gnutls-dev libffi-dev pkg-config zlib1g-dev
<><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><>
+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libcurl4-gnutls-dev" "libffi-dev" "pkg-config" "zlib1g-dev"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libcurl4-gnutls-dev:amd64.
- (Reading database ...
(Reading database ... 5%
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(Reading database ... 16365 files and directories currently installed.)
- Preparing to unpack .../0-libcurl4-gnutls-dev_8.5.0-2ubuntu10.6_amd64.deb ...
- Unpacking libcurl4-gnutls-dev:amd64 (8.5.0-2ubuntu10.6) ...
- Selecting previously unselected package libpkgconf3:amd64.
- Preparing to unpack .../1-libpkgconf3_1.8.1-2build1_amd64.deb ...
- Unpacking libpkgconf3:amd64 (1.8.1-2build1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../2-pkgconf-bin_1.8.1-2build1_amd64.deb ...
- Unpacking pkgconf-bin (1.8.1-2build1) ...
- Selecting previously unselected package pkgconf:amd64.
- Preparing to unpack .../3-pkgconf_1.8.1-2build1_amd64.deb ...
- Unpacking pkgconf:amd64 (1.8.1-2build1) ...
- Selecting previously unselected package pkg-config:amd64.
- Preparing to unpack .../4-pkg-config_1.8.1-2build1_amd64.deb ...
- Unpacking pkg-config:amd64 (1.8.1-2build1) ...
- Selecting previously unselected package zlib1g-dev:amd64.
- Preparing to unpack .../5-zlib1g-dev_1%3a1.3.dfsg-3.1ubuntu2.1_amd64.deb ...
- Unpacking zlib1g-dev:amd64 (1:1.3.dfsg-3.1ubuntu2.1) ...
- Selecting previously unselected package libffi-dev:amd64.
- Preparing to unpack .../6-libffi-dev_3.4.6-1build1_amd64.deb ...
- Unpacking libffi-dev:amd64 (3.4.6-1build1) ...
- Setting up libcurl4-gnutls-dev:amd64 (8.5.0-2ubuntu10.6) ...
- Setting up libffi-dev:amd64 (3.4.6-1build1) ...
- Setting up libpkgconf3:amd64 (1.8.1-2build1) ...
- Setting up pkgconf-bin (1.8.1-2build1) ...
- Setting up zlib1g-dev:amd64 (1:1.3.dfsg-3.1ubuntu2.1) ...
- Setting up pkgconf:amd64 (1.8.1-2build1) ...
- Setting up pkg-config:amd64 (1.8.1-2build1) ...
- Processing triggers for libc-bin (2.39-0ubuntu8.4) ...
2025-07-12 12:51.59 ---> using "700a98ac9046c035c9c436106e4b021c2b9dd069161c24267accc4f169efc631" 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 81 packages
- install angstrom 0.16.1
- install astring 0.8.5
- install backoff 0.1.1
- install base v0.17.3
- install base-bytes base
- install bigarray-compat 1.1.0
- install bigstringaf 0.10.0
- install camlp-streams 5.0.1
- install camlzip 1.13
- install cmdliner 1.3.0
- install conf-libcurl 2
- install conf-libffi 2.0.0
- install conf-pkg-config 4
- install conf-zlib 1
- install cppo 1.8.0
- install csexp 1.5.2
- install csv 2.4
- install ctypes 0.23.0
- install ctypes-foreign 0.23.0
- install curl 0.10.0
- install dune 3.19.1
- install dune-configurator 3.19.1
- 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 0.9.0
- install mdx 2.5.0
- install mtime 2.1.0
- install multicore-magic 2.3.1
- install num 1.6
- install ocaml-compiler-libs v0.17.0
- install ocaml-syntax-shims 1.0.0
- install ocaml-version 4.0.1
- 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 6.1.0
- install ppx_enumerate v0.17.0
- install ppx_expect v0.17.3
- install ppx_fields_conv v0.17.0
- install ppx_globalize v0.17.2
- install ppx_hash v0.17.0
- install ppx_here v0.17.0
- install ppx_inline_test v0.17.1
- install ppx_minidebug 2.3.0
- install ppx_optcomp v0.17.1
- install ppx_sexp_conv v0.17.1
- install ppx_string v0.17.0
- install ppx_variants_conv v0.17.1
- install ppxlib 0.36.0
- install ppxlib_jane v0.17.4
- 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 1.13.2
- 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 astring.0.8.5 (cached)
-> retrieved angstrom.0.16.1 (cached)
-> retrieved bigarray-compat.1.1.0 (cached)
-> retrieved base.v0.17.3 (cached)
-> retrieved bigstringaf.0.10.0 (cached)
-> retrieved camlp-streams.5.0.1 (cached)
-> retrieved camlzip.1.13 (cached)
-> installed conf-libcurl.2
-> retrieved cmdliner.1.3.0 (cached)
-> retrieved cppo.1.8.0 (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2 (cached)
-> retrieved csv.2.4 (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0 (cached)
-> installed conf-libffi.2.0.0
-> installed conf-zlib.1
-> retrieved curl.0.10.0 (cached)
-> retrieved fieldslib.v0.17.0 (cached)
-> retrieved integers.0.7.0 (cached)
-> retrieved fmt.0.10.0 (cached)
-> retrieved jane-street-headers.v0.17.0 (cached)
-> retrieved jst-config.v0.17.0 (cached)
-> retrieved logs.0.9.0 (cached)
-> retrieved mtime.2.1.0 (cached)
-> retrieved multicore-magic.2.3.1 (cached)
-> retrieved num.1.6 (cached)
-> retrieved mdx.2.5.0 (cached)
-> retrieved ocaml-compiler-libs.v0.17.0 (cached)
-> retrieved ocaml-syntax-shims.1.0.0 (cached)
-> retrieved ocaml-version.4.0.1 (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1 (cached)
-> retrieved ocamlfind.1.9.8 (cached)
-> retrieved ocamlbuild.0.16.1 (cached)
-> retrieved parsexp.v0.17.0 (cached)
-> retrieved 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 ppx_compare.v0.17.0 (cached)
-> retrieved ppx_derivers.1.2.1 (cached)
-> retrieved ppx_enumerate.v0.17.0 (cached)
-> retrieved ppx_deriving.6.1.0 (cached)
-> retrieved ppx_expect.v0.17.3 (cached)
-> retrieved dune.3.19.1, dune-configurator.3.19.1 (cached)
-> retrieved ppx_fields_conv.v0.17.0 (cached)
-> retrieved ppx_globalize.v0.17.2 (cached)
-> retrieved ppx_hash.v0.17.0 (cached)
-> retrieved ppx_here.v0.17.0 (cached)
-> retrieved ppx_inline_test.v0.17.1 (cached)
-> retrieved ppx_optcomp.v0.17.1 (cached)
-> retrieved ppx_sexp_conv.v0.17.1 (cached)
-> installed cmdliner.1.3.0
-> installed num.1.6
-> retrieved ppx_minidebug.2.3.0 (cached)
-> retrieved ppx_string.v0.17.0 (cached)
-> retrieved ppx_variants_conv.v0.17.1 (cached)
-> retrieved ppxlib_jane.v0.17.4 (cached)
-> retrieved ptime.1.2.0 (cached)
-> retrieved re.1.13.2 (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 sexplib0.v0.17.0 (cached)
-> retrieved ppxlib.0.36.0 (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12 (cached)
-> retrieved 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 uucp.16.0.0 (cached)
-> installed ocamlfind.1.9.8
-> installed base-bytes.base
-> installed camlzip.1.13
-> 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.0.9.0
-> installed dune.3.19.1
-> 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 csv.2.4
-> installed multicore-magic.2.3.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-version.4.0.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> installed printbox.0.12
-> installed re.1.13.2
-> 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.3.19.1
-> 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 curl.0.10.0
-> installed ctypes.0.23.0
-> installed base.v0.17.3
-> 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.0.36.0
-> installed printbox-ext-plot.0.12
-> installed ppxlib_jane.v0.17.4
-> installed ppx_optcomp.v0.17.1
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.1
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.2
-> installed ppx_deriving.6.1.0
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.1
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_minidebug.2.3.0
-> 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.v0.17.1
-> installed ppx_expect.v0.17.3
Done.
# To update the current shell environment, run: eval $(opam env)
2025-07-12 12:51.59 ---> using "32d02b920f447107a634a73fefb32d3c3fbce8af993dbbf4430fad5f3e3531a2" from cache
/src: (copy (src .) (dst /src))
2025-07-12 12:52.00 ---> saved as "411d31742a30588dfeac37b2a15e00e73ccea7312cc2d079faf72d6a671a90f1"
/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
File "arrayjit/test/dune", line 6, characters 7-15:
6 | (pps ppx_jane)))
^^^^^^^^
Error: Library "ppx_jane" not found.
-> required by
_build/default/arrayjit/test/.merlin-conf/exe-test_numerical_types
-> required by alias arrayjit/test/check
(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
File "test_ppx/test_ppx_op_expected.ml", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test_ppx/test_ppx_op_expected.ml _build/default/test_ppx/test_ppx_op_actual.ml
diff --git a/_build/default/test_ppx/test_ppx_op_expected.ml b/_build/default/test_ppx/test_ppx_op_actual.ml
index a6aa4ae..c971ef0 100644
--- a/_build/default/test_ppx/test_ppx_op_expected.ml
+++ b/_build/default/test_ppx/test_ppx_op_actual.ml
@@ -2,20 +2,20 @@ open Base
open Ocannl
module TDSL = Operation.TDSL
let y0 =
- let hey1 = TDSL.param ?values:None "hey1" in
+ let hey1 = TDSL.param ?value:None "hey1" in
let open! TDSL.O in
((+) ?label:(Some ["y0"]))
((( *. ) ?label:None) (TDSL.number (Float.of_int 2)) hey1)
(TDSL.number (Float.of_int 3))
let y1 =
- let hey2 = TDSL.param ?values:None "hey2" in
+ let hey2 = TDSL.param ?value:None "hey2" in
let open! TDSL.O in
fun x ->
((+) ?label:(Some
(List.concat [["y1"]; (x.Tensor.value).Ir.Tnode.label])))
((( * ) ?label:None) hey2 (TDSL.number (Float.of_int 2))) x
let y2 =
- let hey3 = TDSL.param ?values:None "hey3" in
+ let hey3 = TDSL.param ?value:None "hey3" in
let open! TDSL.O in
fun x1 x2 ->
((+) ?label:(Some
@@ -36,14 +36,14 @@ let b =
~output_dims:[2]
[|(Float.of_int 7);(Float.of_int 8);(Float.of_int 9);(Float.of_int 10)|]
let y =
- let hey4 = TDSL.param ?values:None "hey4" in
+ let hey4 = TDSL.param ?value:None "hey4" in
let open! TDSL.O in
((+) ?label:(Some ["y"]))
((( * ) ?label:None) hey4 (TDSL.number ?label:None ~axis_label:"q" 2.0))
(TDSL.number ?label:None ~axis_label:"p" 1.0)
let z =
- let hey5 = TDSL.param ?values:None "hey5"
- and hey6 = TDSL.param ?values:None "hey6" in
+ let hey5 = TDSL.param ?value:None "hey5"
+ and hey6 = TDSL.param ?value:None "hey6" in
let open! TDSL.O in
((+) ?label:(Some ["z"]))
((( * ) ?label:None) (TDSL.number ?label:None ~axis_label:"q" 2.0) hey5)
@@ -51,8 +51,8 @@ let z =
let stride = 2
and dilation = 3
let z2 =
- let hey7 = TDSL.param ?values:None "hey7"
- and hey8 = TDSL.param ?values:None "hey8" in
+ let hey7 = TDSL.param ?value:None "hey7"
+ and hey8 = TDSL.param ?value:None "hey8" in
let open! TDSL.O in
TDSL.einsum ?label:(Some ["z2"])
(String.concat ~sep:""
@@ -61,8 +61,8 @@ let z2 =
let z3 =
let s = 2
and d = 3 in
- let hey10 = TDSL.param ?values:None "hey10"
- and hey9 = TDSL.param ?values:None "hey9" in
+ let hey10 = TDSL.param ?value:None "hey10"
+ and hey9 = TDSL.param ?value:None "hey9" in
let open! TDSL.O in
TDSL.einsum ?label:(Some [])
(String.concat ~sep:""
@@ -78,7 +78,7 @@ let mlp_layer =
let b =
(TDSL.param ~more_label:(config.label)) ~output_dims:[config.hid_dim]
"b"
- and w = (TDSL.param ~more_label:(config.label)) ?values:None "w" in
+ and w = (TDSL.param ~more_label:(config.label)) ?value:None "w" in
fun x ->
(relu
?label:(Some
File "test/test_print_style.expected", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/test_print_style.expected _build/default/test/test_print_style.exe.output
diff --git a/_build/default/test/test_print_style.expected b/_build/default/test/test_print_style.exe.output
index e51ab37..c55c8ad 100644
--- a/_build/default/test/test_print_style.expected
+++ b/_build/default/test/test_print_style.exe.output
@@ -1,5 +1,5 @@
-Welcome to OCANNL! Reading configuration defaults from /Users/lukstafi/ocannl/_build/default/test/ocannl_config.
+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
Testing print_style functionality:
File "test/einsum/test_conv_syntax.expected", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/einsum/test_conv_syntax.expected _build/default/test/einsum/test_conv_syntax.exe.output
diff --git a/_build/default/test/einsum/test_conv_syntax.expected b/_build/default/test/einsum/test_conv_syntax.exe.output
index 7098c49..02f1b08 100644
--- a/_build/default/test/einsum/test_conv_syntax.expected
+++ b/_build/default/test/einsum/test_conv_syntax.exe.output
@@ -1,5 +1,5 @@
-Welcome to OCANNL! Reading configuration defaults from /Users/lukstafi/ocannl/_build/default/test/einsum/ocannl_config.
+Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/einsum/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
Testing conv syntax parsing...
(cd _build/default/test_ppx && ./test_ppx_op.exe)
Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test_ppx && ./test_ppx_op_expected.exe)
Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/43836256ca9e144a38cf7afda013efcb/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/43836256ca9e144a38cf7afda013efcb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7dd5911dd8ee3a7a466cfd67cf7b6add/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)
Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/43836256ca9e144a38cf7afda013efcb/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/43836256ca9e144a38cf7afda013efcb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/43836256ca9e144a38cf7afda013efcb/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/43836256ca9e144a38cf7afda013efcb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/43836256ca9e144a38cf7afda013efcb/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/43836256ca9e144a38cf7afda013efcb/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_limit_constant_fill_size
Not found, using default 256
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
Retrieving commandline, environment, or config file variable ocannl_cc_backend_verify_codesign
Not found, using default false
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 207-235, characters 31-82
Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 539-540, characters 4-92
Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 526-540, characters 23-92
Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 36, characters 13-76
(cd _build/.sandbox/43836256ca9e144a38cf7afda013efcb/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/43836256ca9e144a38cf7afda013efcb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/einsum/einsum_trivia_exec.expected", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/einsum/einsum_trivia_exec.expected _build/default/test/einsum/einsum_trivia_exec.exe.output
diff --git a/_build/default/test/einsum/einsum_trivia_exec.expected b/_build/default/test/einsum/einsum_trivia_exec.exe.output
index ab456b5..92f8740 100644
--- a/_build/default/test/einsum/einsum_trivia_exec.expected
+++ b/_build/default/test/einsum/einsum_trivia_exec.exe.output
@@ -1,5 +1,5 @@
-Welcome to OCANNL! Reading configuration defaults from /Users/lukstafi/ocannl/_build/default/test/einsum/ocannl_config.
+Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/einsum/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
HERE: test/einsum/einsum_trivia_exec.ml:31:21
@@ -735,173 +735,173 @@ HERE: test/einsum/einsum_trivia_exec.ml:269:21
HERE: test/einsum/einsum_trivia_exec.ml:298:21
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+││ │ 3.00 1.00 2.06e+3 │ │
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HERE: test/einsum/einsum_trivia_exec.ml:299:21
-┌───────────────────────────┐
-│[1]: =>_ti shape 0:4,1:3 │
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-└───────────────────────────┘
+┌───────────────────────────────────┐
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+││ │ 3.00 0.00 0.00 ││
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+└───────────────────────────────────┘
HERE: test/einsum/einsum_trivia_exec.ml:300:21
-┌───────────────────────────┐
-│[7]: =>_tk shape 0:6,1:3 │
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-└───────────────────────────┘
+┌───────────────────────────────────┐
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+││ │axis 1 ││
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+││ │ 0.00 0.00 5.00 ││
+│└──────┴──────────────────────────┘│
+└───────────────────────────────────┘
HERE: test/einsum/einsum_trivia_exec.ml:323:21
(cd _build/.sandbox/43836256ca9e144a38cf7afda013efcb/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/43836256ca9e144a38cf7afda013efcb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/43836256ca9e144a38cf7afda013efcb/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/43836256ca9e144a38cf7afda013efcb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/43836256ca9e144a38cf7afda013efcb/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/43836256ca9e144a38cf7afda013efcb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/einsum/moons_demo_variant.expected", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/einsum/moons_demo_variant.expected _build/default/test/einsum/moons_demo_variant.exe.output
diff --git a/_build/default/test/einsum/moons_demo_variant.expected b/_build/default/test/einsum/moons_demo_variant.exe.output
index 68171df..6abe702 100644
--- a/_build/default/test/einsum/moons_demo_variant.expected
+++ b/_build/default/test/einsum/moons_demo_variant.exe.output
@@ -1,121 +1,59 @@
-Welcome to OCANNL! Reading configuration defaults from /Users/lukstafi/ocannl/_build/default/test/einsum/ocannl_config.
+Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/einsum/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
Half-moons scatterplot and decision boundary:
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-│**************........................%......................#..#...........................%.......│
-│************........................%%.%.......................##.....................%..%..........│
-│***********............................%%..............................................%%.%%........│
-│**********.............................%...%............................................%%%.........│
-│********...................................%..%....................................%.....%..........│
-│*******.................................%%..%.%................................%.%.%.%%.............│
-│******.....................................%%.%...%%.%.......................%%%....%.%.%...........│
-│*****....................................%.....%.%..%....................%.....%%.%.%...............│
-│***.........................................%%...%.%%%%..%.......%.........%%.%%....................│
-│**................................................%..%.......%..%%%%...%.%..%.%.....................│
-│*..................................................%.%.%............%..%...%........................│
-│..................................................%....%.%......%%...%.%............................│
-│..........................................................%..%......%%%.............................│
+│...................................#................................................................│
+│..........................##..#..###....##..........................................................│
+│.........................#....#.....#...............................................................│
+│.......................#.##.#.......#####...#.#.....................................................│
+│..................#.#.#...#..#.##....#.#.##..#....#.................................................│
+│.............#.#......##.#..#..........###..#....#..................................................│
+│.............##..##.....#....................#.##.###...#...........................................│
+│.............#.##.#.#.#.......................#...##..#.............................................│
+│.........#.#....##..................................##..#...........................................│
+│...........#.#....................................#..##...#.#.......................................│
+│..........##..........................................#...#.#.......................................│
+│.......#...###............................................#.........................................│
+│....#....##..........................%..................#....##.....................................│
+│.........##................................................#..#..............................%......│
+│.....#..#........................%..%......................##.#...................................%.│
+│...##.#..................................................#....................................%...%.│
+│..###...........................%..%%......................###................................%.%...│
+│..#...#.#.......................%%.%%.......................#.##.#............................%.....│
+│..#...#.............................%.........................##..............................%...%.│
+│..##..#............................%%.........................#..##.........................%%..%.%%│
+│#...#..#.........................%.%%%.......................##...#............................%.%..│
+│##...#.............................%%.........................#.#..#................................│
+│...................................%%%%.......................##.#.#........................%%..%.%.│
+│###................................%%..............................#.......................%....%...│
+│..##................................%%%.%....................................................%%..%..│
+│.#.....................................%.......................#.###......................%.%%.%....│
+│.....#................................%...%................................................%...%....│
+│...................................%.....%%......................#..................................│
+│.....................................%%%..%...........................................%..%%..%......│
+│.......................................%%.....%......................................%..%.%.%.......│
+│.........................................%%............................................%..%%.%......│
+│..........................................%.%.....%...............................%.%.%%..%.........│
+│.........................................%%%..%%......................................%.............│
+│...........................................%.%..%..............................%%.%.%.%%.%..........│
+│..............................................%%%%..%.%.......................%%..%.%.%.............│
+│..............................................%..%%%.%%...................%..%%...%.................│
+│...............................................%...%.%.%..%...%.%%..%%.%%...%.......................│
+│......................................................%%.%%%..%.%..%%.%.%.%%........................│
+│.....................................................%...........%%%%......%%.......................│
+│.......................................................%.%%%%.%.......%...%.........................│
└────────────────────────────────────────────────────────────────────────────────────────────────────┘Loss:
-┌────────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐
-│ 3.79e+1│- │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│l │ │
-│o │ │
-│s │ │
-│s │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ - │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ │
-│ │ - - - - │
-│ 0.00 │ - ---- --- --- ---- ---- ---- ---- -- - ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- │
-├────────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤
-│ │0.00 7.90e+1│
-│ │ step │
-└────────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘Log-loss, for better visibility:
┌─────────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐
-│ 3.63 │- │
+│ 4.91e+64│- │
│ │ │
│ │ │
│ │ │
-│ │ - │
│ │ │
│ │ │
│ │ │
│ │ │
-│ │ - │
-│ │ - │
-│ │ - - - │
-│ │ - - - - │
-│ │ -- - - - - - - - -- - - - - - -- │
-│ │ - - - - - - - -- - - -- - - - - │
-│ │ - - - │
-│l │ - - - -- - │
-│o │ - - │
-│g │ - - - - │
-│ │ - - - │
-│l │ - -- │
-│o │ - - - │
-│s │ - │
-│s │ - │
-│ │ - │
│ │ │
│ │ │
│ │ │
@@ -126,11 +64,73 @@ Half-moons scatterplot and decision boundary:
│ │ │
│ │ │
│ │ │
+│l │ │
+│o │ │
+│s │ │
+│s │ │
│ │ │
│ │ │
│ │ │
│ │ │
-│ -1.00e+1│ - - - - - - - │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ 0.00 │ --- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- │
+├─────────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤
+│ │0.00 7.90e+1│
+│ │ step │
+└─────────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘Log-loss, for better visibility:
+┌─────────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐
+│ 1.48e+2 │- │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│l │ │
+│o ││
+│g │ │
+│ │ │
+│l │ │
+│o │ │
+│s │ │
+│s │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ │ │
+│ -1.00e+1│ --- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- │
├─────────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤
│ │0.00 7.90e+1│
│ │ step │
(cd _build/.sandbox/43836256ca9e144a38cf7afda013efcb/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/43836256ca9e144a38cf7afda013efcb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/zero2hero_1of7.ml", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/zero2hero_1of7.ml _build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/zero2hero_1of7.ml.corrected
diff --git a/_build/default/test/zero2hero_1of7.ml b/_build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/zero2hero_1of7.ml.corrected
index 3b7cc00..ad77859 100644
--- a/_build/default/test/zero2hero_1of7.ml
+++ b/_build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/zero2hero_1of7.ml.corrected
@@ -30,24 +30,24 @@ let%expect_test "Graph drawing recompile" =
Tensor.print_tree ~with_grad:true ~depth:9 f_nd;
[%expect
{|
- #15 +_f_nd
- 6.00e+1
- #16 grad_+_f_nd Virt/30
- <void>
- #13 - Virt/152 │#2 5. Virt/40
- <void> │<void>
- #14 grad_- Virt/30 │
- <void> │
- #11 *. Virt/152 │ #4 *. Virt/152 │
- <void> │ <void> │
- #12 grad_*. Virt/30 │ #5 grad_*. Virt/30 │
- <void> │ <void> │
- #10 3. Virt/40│#7 **. Virt/152 │#3 4. Virt/40│#0 x │
- <void> │<void> │<void> │ 5.00 │
- │#8 grad_**. Virt/30│ │#1 grad_x Local/30│
- │<void> │ │<void> │
- │[0]│ #6 2. Virt/40 │ │ │
- │ │ <void> │ │ │
+ #15 +_f_nd includes pos. inf.
+ inf
+ #16 grad_+_f_nd Virt/30
+ <void>
+ #13 - Virt/152 │#2 5. Virt/40
+ <void> │<void>
+ #14 grad_- Virt/30 │
+ <void> │
+ #11 *. Virt/152 │#4 *. Virt/152 │
+ <void> │<void> │
+ #12 grad_*. Virt/30 │#5 grad_*. Virt/30│
+ <void> │<void> │
+ #10 3. Virt/40│#7 **. Virt/152 │#3 4. Virt/40│[0] │
+ <void> │<void> │<void> │ │
+ │#8 grad_**. Virt/30│ │ │
+ │<void> │ │ │
+ │[0]│ #6 2. Virt/40 │ │ │
+ │ │ <void> │ │ │
|}];
let%op f = (3 *. ("x" [ 5 ] **. 2)) - (4 *. x) + 5 in
Train.every_non_literal_on_host f;
@@ -55,27 +55,7 @@ let%expect_test "Graph drawing recompile" =
let f_bprop = Train.to_routine (module Backend) ctx IDX.empty f_upd in
Train.run f_bprop;
Tensor.print_tree ~with_grad:true ~depth:9 f;
- [%expect
- {|
- #32 +_f
- 6.00e+1
- #33 grad_+_f
- 1.00
- #30 - │#19 5. Virt/40
- 5.50e+1 │<void>
- #31 grad_- │
- 1.00 │
- #28 *. │ #21 *. │
- 7.50e+1 │ 2.00e+1 │
- #29 grad_*. │ #22 grad_*. │
- 1.00 │ -1.00 │
- #27 3. Virt/40│ #24 **. │#20 4. Virt/40│#17 x │
- <void> │ 2.50e+1 │<void> │ 5.00 │
- │ #25 grad_**. │ │#18 grad_x│
- │ 3.00 │ │ 2.60e+1 │
- │[17]│#23 2. Virt/40│ │ │
- │ │<void> │ │ │
- |}];
+ [%expect.unreachable];
let xs = Array.init 10 ~f:Float.(fun i -> of_int i - 5.) in
let ys =
Array.map xs ~f:(fun v ->
@@ -94,54 +74,21 @@ let%expect_test "Graph drawing recompile" =
[ Scatterplot { points = Array.zip_exn xs ys; content = PrintBox.line "#" } ]
in
PrintBox_text.output Stdio.stdout plot_box;
- [%expect
- {|
- ┌────────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │ 1.00e+2│# │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ # │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │f │ │
- │( │ │
- │x │ │
- │) │ │
- │ │ │
- │ │ # │
- │ │ │
- │ │ │
- │ │ #│
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ # │
- │ │ │
- │ │ # │
- │ │ │
- │ │ │
- │ │ # │
- │ │ # │
- │ │ │
- │ 4.00 │ # # │
- ├────────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤
- │ │-5.00 4.00│
- │ │ x │
- └────────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}]
+ [%expect.unreachable]
+[@@expect.uncaught_exn {|
+ (* CR expect_test_collector: This test expectation appears to contain a backtrace.
+ This is strongly discouraged as backtraces are fragile.
+ Please change this test to not include a backtrace. *)
+ ("Utils.User_error(\"The linked context lacks node x\")")
+ Raised at Backends.verify_prior_context.(fun) in file "arrayjit/lib/backends.ml", line 285, characters 11-93
+ Called from Base__Set.Accessors.iter in file "src/set.ml" (inlined), line 1193, characters 18-38
+ Called from Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 281-285, characters 2-94
+ Re-raised at Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 280-285, characters 37-94
+ Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 527-528, characters 4-49
+ Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 526-540, characters 23-92
+ Called from Tutorials__Zero2hero_1of7.(fun) in file "test/zero2hero_1of7.ml", line 55, characters 16-69
+ Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28
+ |}]
let%expect_test "Graph drawing fetch" =
Tensor.unsafe_reinitialize ();
@@ -271,96 +218,39 @@ let%expect_test "Simple gradients hosted" =
let sgd_routine = Train.to_routine (module Backend) grad_routine.context IDX.empty sgd in
(* Check out the initial state without running a forward pass. *)
Tensor.print_tree ~spy:true ~with_grad:true ~depth:9 l;
- [%expect
- {|
- #12 *._l Host&stream/41
- <not-in-yet>
- #13 grad_*._l Host&stream/41
- <not-in-yet>
- #8 +_d Host&stream/41 │#10 f Host&shared/39
- <not-in-yet> │<not-in-yet>
- #9 grad_+_d Host&stream/41 │#11 grad_f Host&stream/41
- <not-in-yet> │<not-in-yet>
- #4 *._e Host&stream/41 │#6 c Host&shared/39 │
- <not-in-yet> │<not-in-yet> │
- #5 grad_*._e Host&stream/41 │#7 grad_c Host&stream/41│
- <not-in-yet> │<not-in-yet> │
- #0 a Host&shared/39 │#2 b Host&shared/39 │ │
- <not-in-yet> │<not-in-yet> │ │
- #1 grad_a Host&stream/41│#3 grad_b Host&stream/41│ │
- <not-in-yet> │<not-in-yet> │ │
- |}];
+ [%expect.unreachable];
(* Do not update the params: all values and gradients will be at initial points, which are
specified in the tensor in the brackets. *)
Train.run grad_routine;
Tensor.print_tree ~with_grad:true ~depth:9 l;
- [%expect
- {|
- #12 *._l
- -8.00
- #13 grad_*._l
- 1.00
- #8 +_d │#10 f
- 4.00 │ -2.00
- #9 grad_+_d │#11 grad_f
- -2.00 │ 4.00
- #4 *._e │#6 c │
- -6.00 │ 1.00e+1 │
- #5 grad_*._e │#7 grad_c│
- -2.00 │ -2.00 │
- #0 a │#2 b │ │
- 2.00 │ -3.00 │ │
- #1 grad_a│#3 grad_b│ │
- 6.00 │ -4.00 │ │
- |}];
+ [%expect.unreachable];
(* Now we update the params, but we are not doing the forward and backward passes: only params
values will change, compared to the above. The update is in the opposite direction of the
gradient. *)
Train.run sgd_routine;
Tensor.print_tree ~with_grad:true ~depth:9 l;
- [%expect
- {|
- #12 *._l
- -8.00
- #13 grad_*._l
- 1.00
- #8 +_d │#10 f
- 4.00 │ -2.40
- #9 grad_+_d │#11 grad_f
- -2.00 │ 4.00
- #4 *._e │#6 c │
- -6.00 │ 1.02e+1 │
- #5 grad_*._e │#7 grad_c│
- -2.00 │ -2.00 │
- #0 a │#2 b │ │
- 1.40 │ -2.60 │ │
- #1 grad_a│#3 grad_b│ │
- 6.00 │ -4.00 │ │
- |}];
+ [%expect.unreachable];
(* Now the params will remain as above, but both param gradients and the values and gradients of
other nodes will change thanks to the forward and backward passes. *)
Train.run grad_routine;
Tensor.print_tree ~with_grad:true ~depth:9 l;
- [%expect
- {|
- #12 *._l
- -1.57e+1
- #13 grad_*._l
- 1.00
- #8 +_d │#10 f
- 6.56 │ -2.40
- #9 grad_+_d │#11 grad_f
- -2.40 │ 6.56
- #4 *._e │#6 c │
- -3.64 │ 1.02e+1 │
- #5 grad_*._e │#7 grad_c│
- -2.40 │ -2.40 │
- #0 a │#2 b │ │
- 1.40 │ -2.60 │ │
- #1 grad_a│#3 grad_b│ │
- 6.24 │ -3.36 │ │
- |}]
+ [%expect.unreachable]
+[@@expect.uncaught_exn {|
+ (* CR expect_test_collector: This test expectation appears to contain a backtrace.
+ This is strongly discouraged as backtraces are fragile.
+ Please change this test to not include a backtrace. *)
+ ("Utils.User_error(\"The linked context lacks node a\")")
+ Raised at Backends.verify_prior_context.(fun) in file "arrayjit/lib/backends.ml", line 285, characters 11-93
+ Called from Base__Set.Tree0.iter.iter in file "src/set.ml", line 860, characters 8-14
+ Called from Base__Set.Accessors.iter in file "src/set.ml" (inlined), line 1193, characters 18-38
+ Called from Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 281-285, characters 2-94
+ Re-raised at Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 280-285, characters 37-94
+ Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 527-528, characters 4-49
+ Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 526-540, characters 23-92
+ Called from Tutorials__Zero2hero_1of7.(fun) in file "test/zero2hero_1of7.ml", line 270, characters 21-73
+ Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28
+ |}]
let%expect_test "Simple gradients virtual" =
Tensor.unsafe_reinitialize ();
@@ -381,68 +271,29 @@ let%expect_test "Simple gradients virtual" =
Tensor.print_tree ~spy:true ~with_grad:true ~depth:9 l;
[%expect
{|
- #12 *._l Host&dev/41
- <not-in-yet>
- #13 grad_*._l unknown
- <not-in-yet>
- #8 +_d unknown │#10 f Host-non-const/24
- <not-in-yet> │<not-in-yet>
- #9 grad_+_d unknown │#11 grad_f Material/28
- <not-in-yet> │<not-in-yet>
- #4 *._e unknown │#6 c Host-non-const/24│
- <not-in-yet> │<not-in-yet> │
- #5 grad_*._e unknown │#7 grad_c Material/28 │
- <not-in-yet> │<not-in-yet> │
- #0 a Host-non-const/24│#2 b Host-non-const/24│ │
- <not-in-yet> │<not-in-yet> │ │
- #1 grad_a Material/28 │#3 grad_b Material/28 │ │
- <not-in-yet> │<not-in-yet> │ │
+ #12 *._l Host&dev/412
+ <not-in-yet>
+ #13 grad_*._l unknown
+ <not-in-yet>
+ #8 +_d unknown │[10]
+ <not-in-yet> │
+ #9 grad_+_d unknown │
+ <not-in-yet> │
+ #4 *._e unknown │[6]│
+ <not-in-yet> │ │
+ #5 grad_*._e unknown│ │
+ <not-in-yet> │ │
+ [0]│[2] │ │
|}];
let grad_routine = Train.to_routine (module Backend) ctx IDX.empty grad in
(* Check out the state without running a forward pass or compiling the SGD update. *)
Tensor.print_tree ~spy:true ~with_grad:true ~depth:9 l;
- [%expect
- {|
- #12 *._l Host&stream/41
- <not-in-yet>
- #13 grad_*._l Virt/40
- <not-in-yet>
- #8 +_d Local/46 │#10 f Host&shared/39
- <not-in-yet> │<not-in-yet>
- #9 grad_+_d Virt/40 │#11 grad_f Dev-stream/41
- <not-in-yet> │<not-in-yet>
- #4 *._e Virt/152 │#6 c Host&shared/39 │
- <not-in-yet> │<not-in-yet> │
- #5 grad_*._e Virt/40 │#7 grad_c Dev-stream/41│
- <not-in-yet> │<not-in-yet> │
- #0 a Host&shared/39 │#2 b Host&shared/39 │ │
- <not-in-yet> │<not-in-yet> │ │
- #1 grad_a Dev-stream/41│#3 grad_b Dev-stream/41│ │
- <not-in-yet> │<not-in-yet> │ │
- |}];
+ [%expect.unreachable];
(* Do not update the params: all values and gradients will be at initial points, which are
specified in the tensor in the brackets. *)
Train.run grad_routine;
Tensor.print_tree ~with_grad:true ~depth:9 l;
- [%expect
- {|
- #12 *._l
- -8.00
- #13 grad_*._l Virt/40
- <void>
- #8 +_d Local/46 │#10 f
- <void> │ -2.00
- #9 grad_+_d Virt/40 │#11 grad_f Dev-stream/41
- <void> │<void>
- #4 *._e Virt/152 │#6 c │
- <void> │ 1.00e+1 │
- #5 grad_*._e Virt/40 │#7 grad_c Dev-stream/41│
- <void> │<void> │
- #0 a │#2 b │ │
- 2.00 │ -3.00 │ │
- #1 grad_a Dev-stream/41│#3 grad_b Dev-stream/41│ │
- <void> │<void> │ │
- |}];
+ [%expect.unreachable];
(* Only now compile the SGD update. *)
let sgd_routine = Train.to_routine (module Backend) grad_routine.context IDX.empty sgd in
(* Now we update the params, but are not doing the forward and backward passes: only params values
@@ -450,48 +301,28 @@ let%expect_test "Simple gradients virtual" =
always be recomputed using the latest parameter state. *)
Train.run sgd_routine;
Tensor.print_tree ~with_grad:true ~depth:9 l;
- [%expect
- {|
- #12 *._l
- -8.00
- #13 grad_*._l Virt/40
- <void>
- #8 +_d Local/46 │#10 f
- <void> │ -2.40
- #9 grad_+_d Virt/40 │#11 grad_f Dev-stream/41
- <void> │<void>
- #4 *._e Virt/152 │#6 c │
- <void> │ 1.02e+1 │
- #5 grad_*._e Virt/40 │#7 grad_c Dev-stream/41│
- <void> │<void> │
- #0 a │#2 b │ │
- 1.40 │ -2.60 │ │
- #1 grad_a Dev-stream/41│#3 grad_b Dev-stream/41│ │
- <void> │<void> │ │
- |}];
+ [%expect.unreachable];
(* Now the params will remain as above, but both param gradients and the values and gradients of
other nodes will change thanks to the forward and backward passes. *)
Train.run grad_routine;
Tensor.print_tree ~with_grad:true ~depth:9 l;
- [%expect
- {|
- #12 *._l
- -1.57e+1
- #13 grad_*._l Virt/40
- <void>
- #8 +_d Local/46 │#10 f
- <void> │ -2.40
- #9 grad_+_d Virt/40 │#11 grad_f Dev-stream/41
- <void> │<void>
- #4 *._e Virt/152 │#6 c │
- <void> │ 1.02e+1 │
- #5 grad_*._e Virt/40 │#7 grad_c Dev-stream/41│
- <void> │<void> │
- #0 a │#2 b │ │
- 1.40 │ -2.60 │ │
- #1 grad_a Dev-stream/41│#3 grad_b Dev-stream/41│ │
- <void> │<void> │ │
- |}]
+ [%expect.unreachable]
+[@@expect.uncaught_exn {|
+ (* CR expect_test_collector: This test expectation appears to contain a backtrace.
+ This is strongly discouraged as backtraces are fragile.
+ Please change this test to not include a backtrace. *)
+ ("Utils.User_error(\"The linked context lacks node a\")")
+ Raised at Backends.verify_prior_context.(fun) in file "arrayjit/lib/backends.ml", line 285, characters 11-93
+ Called from Base__Set.Tree0.iter.iter in file "src/set.ml", line 860, characters 8-14
+ Called from Base__Set.Tree0.iter.iter in file "src/set.ml", line 860, characters 8-14
+ Called from Base__Set.Accessors.iter in file "src/set.ml" (inlined), line 1193, characters 18-38
+ Called from Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 281-285, characters 2-94
+ Re-raised at Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 280-285, characters 37-94
+ Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 527-528, characters 4-49
+ Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 526-540, characters 23-92
+ Called from Tutorials__Zero2hero_1of7.(fun) in file "test/zero2hero_1of7.ml", line 401, characters 21-73
+ Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28
+ |}]
let%expect_test "tanh plot" =
Tensor.unsafe_reinitialize ();
@@ -510,21 +341,22 @@ let%expect_test "2D neuron hosted" =
let routine = Train.to_routine (module Backend) ctx IDX.empty update in
Train.run routine;
Tensor.print_tree ~with_grad:true ~depth:9 v;
- [%expect
- {|
- #8 +_v
- 7.00e-1
- #9 grad_+_v
- 1.00
- #6 * │#0 b
- -6.00 │ 6.70
- #7 grad_* │#1 grad_b
- 1.00 │ 1.00
- #2 w │#4 x │
- -3.00 1.00 │ 2.00 0.00 │
- #3 grad_w │#5 grad_x │
- 2.00 0.00 │ -3.00 1.00 │
- |}]
+ [%expect.unreachable]
+[@@expect.uncaught_exn {|
+ (* CR expect_test_collector: This test expectation appears to contain a backtrace.
+ This is strongly discouraged as backtraces are fragile.
+ Please change this test to not include a backtrace. *)
+ ("Utils.User_error(\"The linked context lacks node b\")")
+ Raised at Backends.verify_prior_context.(fun) in file "arrayjit/lib/backends.ml", line 285, characters 11-93
+ Called from Base__Set.Tree0.iter.iter in file "src/set.ml", line 861, characters 8-11
+ Called from Base__Set.Accessors.iter in file "src/set.ml" (inlined), line 1193, characters 18-38
+ Called from Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 281-285, characters 2-94
+ Re-raised at Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 280-285, characters 37-94
+ Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 527-528, characters 4-49
+ Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 526-540, characters 23-92
+ Called from Tutorials__Zero2hero_1of7.(fun) in file "test/zero2hero_1of7.ml", line 510, characters 16-70
+ Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28
+ |}]
let%expect_test "2D neuron virtual" =
Tensor.unsafe_reinitialize ();
@@ -537,18 +369,19 @@ let%expect_test "2D neuron virtual" =
let routine = Train.to_routine (module Backend) ctx IDX.empty update in
Train.run routine;
Tensor.print_tree ~with_grad:true ~depth:9 v;
- [%expect
- {|
- #8 +_v
- 7.00e-1
- #9 grad_+_v Virt/40
- <void>
- #6 * Local/46 │#0 b
- <void> │ 6.70
- #7 grad_* Virt/40 │#1 grad_b Local/46
- <void> │<void>
- #2 w │#4 x │
- -3.00 1.00 │ 2.00 0.00 │
- #3 grad_w Local/46│#5 grad_x Local/46│
- <void> │<void> │
- |}]
+ [%expect.unreachable]
+[@@expect.uncaught_exn {|
+ (* CR expect_test_collector: This test expectation appears to contain a backtrace.
+ This is strongly discouraged as backtraces are fragile.
+ Please change this test to not include a backtrace. *)
+ ("Utils.User_error(\"The linked context lacks node b\")")
+ Raised at Backends.verify_prior_context.(fun) in file "arrayjit/lib/backends.ml", line 285, characters 11-93
+ Called from Base__Set.Tree0.iter.iter in file "src/set.ml", line 860, characters 8-14
+ Called from Base__Set.Accessors.iter in file "src/set.ml" (inlined), line 1193, characters 18-38
+ Called from Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 281-285, characters 2-94
+ Re-raised at Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 280-285, characters 37-94
+ Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 527-528, characters 4-49
+ Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 526-540, characters 23-92
+ Called from Tutorials__Zero2hero_1of7.(fun) in file "test/zero2hero_1of7.ml", line 537, characters 16-70
+ Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28
+ |}]
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/43836256ca9e144a38cf7afda013efcb/default/test/micrograd_demo.ml.corrected
diff --git a/_build/default/test/micrograd_demo.ml b/_build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/micrograd_demo.ml.corrected
index b394efe..4062941 100644
--- a/_build/default/test/micrograd_demo.ml
+++ b/_build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/micrograd_demo.ml.corrected
@@ -31,57 +31,26 @@ let%expect_test "Micrograd README basic example" =
let step = Train.to_routine (module Backend) ctx IDX.empty update in
Train.run step;
Tensor.print ~with_code:false ~with_grad:false `Default g;
- [%expect
- {|
- ┌────────────────────┐
- │[75]: +_g shape 0:1 │
- │┌┬─────────┐ │
- │││axis 0 │ │
- │├┼─────────┤ │
- │││ 2.47e+1 │ │
- │└┴─────────┘ │
- └────────────────────┘
- |}];
+ [%expect.unreachable];
Tensor.print ~with_code:false ~with_grad:true `Default a;
- [%expect
- {|
- ┌─────────────────┐
- │[0]: a shape 0:1 │
- │┌┬───────┐ │
- │││axis 0 │ │
- │├┼───────┤ │
- │││ -4.00 │ │
- │└┴───────┘ │
- └─────────────────┘
- ┌────────────────────────┐
- │[0]: a shape 0:1 grad_a│
- │┌┬─────────┐ │
- │││axis 0 │ │
- │├┼─────────┤ │
- │││ 1.38e+2 │ │
- │└┴─────────┘ │
- └────────────────────────┘
- |}];
+ [%expect.unreachable];
Tensor.print ~with_code:false ~with_grad:true `Default b;
- [%expect
- {|
- ┌─────────────────┐
- │[2]: b shape 0:1 │
- │┌┬──────┐ │
- │││axis 0│ │
- │├┼──────┤ │
- │││ 2.00 │ │
- │└┴──────┘ │
- └─────────────────┘
- ┌────────────────────────┐
- │[2]: b shape 0:1 grad_b│
- │┌┬─────────┐ │
- │││axis 0 │ │
- │├┼─────────┤ │
- │││ 6.45e+2 │ │
- │└┴─────────┘ │
- └────────────────────────┘
- |}]
+ [%expect.unreachable]
+[@@expect.uncaught_exn {|
+ (* CR expect_test_collector: This test expectation appears to contain a backtrace.
+ This is strongly discouraged as backtraces are fragile.
+ Please change this test to not include a backtrace. *)
+ ("Utils.User_error(\"The linked context lacks node a\")")
+ Raised at Backends.verify_prior_context.(fun) in file "arrayjit/lib/backends.ml", line 285, characters 11-93
+ Called from Base__Set.Tree0.iter.iter in file "src/set.ml", line 860, characters 8-14
+ Called from Base__Set.Accessors.iter in file "src/set.ml" (inlined), line 1193, characters 18-38
+ Called from Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 281-285, characters 2-94
+ Re-raised at Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 280-285, characters 37-94
+ Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 527-528, characters 4-49
+ Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 526-540, characters 23-92
+ Called from Tutorials__Micrograd_demo.(fun) in file "test/micrograd_demo.ml", line 31, characters 13-67
+ Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28
+ |}]
let%expect_test "Micrograd half-moons example" =
Tensor.unsafe_reinitialize ();
@@ -168,223 +137,34 @@ let%expect_test "Micrograd half-moons example" =
in
Stdio.printf "Half-moons scatterplot and decision boundary:\n%!";
PrintBox_text.output Stdio.stdout plot_moons;
- [%expect
- {|
- Half-moons scatterplot and decision boundary:
- ┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │****************************#***********************************************************************│
- │****************************###***###***#***********************************************************│
- │***************************#********#***#***********************************************************│
- │********************#*********************##*#*#****************************************************│
- │******************#***#*****##*#*#*#****#*#*#*##****************************************************│
- │**************#*#**###**#*##**##********#**#****###**#**********************************************│
- │***********#***##***#**##*****************#*#*##*###**********************************************..│
- │***************#**###******************************##*#******************************************...│
- │*************#*****#******************************#*#***#*#*************************************....│
- │*********#***#******************......************##*###**#************************************.....│
- │******#***#*#*#****************........******************#*#*********************************.......│
- │*****###****#****************...........****************#***********************************........│
- │*******#*###****************.............******************#*#*****************************.........│
- │**********##***************.......%%......***************#**##****************************..........│
- │*****#***#****************......%..%%......*********************************************..........%.│
- │**####*******************......%..%..........****************##*#**********************........%...%│
- │****#*******************.......%%..%..........***************#*#**********************.........%....│
- │*#****##***************.........%....%.........************##***#********************.......%...%%..│
- │****#*#***************.........%..%.%...........*************#**#*******************..........%.%...│
- │##*##****************............%...............**************#*##****************.........%.%.%%%.│
- │**#####************............%...%%.............*******************************...........%..%.%..│
- │******************...............%.%.%%............*********#*#*#*#*************................%%..│
- │***##************................%..%..%............************#*#************.............%...%...│
- │##**#***********...................%...%.............********#**###***********...........%.%%.......│
- │###************..................%.%.%................***********##**********..................%....│
- │**##**********.........................................**********#*********.............%%.%..%.....│
- │**#**********......................%%...................********##********..............%%.%........│
- │************..........................%..................****#**#********...................%.......│
- │***********.........................%%.%..................*****##******...............%..%..........│
- │**********.............................%%..................***********.................%%.%%........│
- │*********..............................%...%................*******.....................%%%.........│
- │********...................................%..%....................................%.....%..........│
- │*******.................................%%..%.%................................%.%.%.%%.............│
- │******.....................................%%.%...%%.%.......................%%%....%.%.%...........│
- │*****....................................%.....%.%..%....................%.....%%.%.%...............│
- │****........................................%%...%.%%%%..%.......%.........%%.%%....................│
- │***...............................................%..%.......%..%%%%...%.%..%.%.....................│
- │**.................................................%.%.%............%..%...%........................│
- │*.................................................%....%.%......%%...%.%............................│
- │..........................................................%..%......%%%.............................│
- └────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}];
+ [%expect.unreachable];
Stdio.printf "Loss:\n%!";
let plot_loss =
PrintBox_utils.plot ~x_label:"step" ~y_label:"loss"
[ Line_plot { points = Array.of_list_rev !losses; content = PrintBox.line "-" } ]
in
PrintBox_text.output Stdio.stdout plot_loss;
- [%expect
- {|
- Loss:
- ┌────────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │ 3.79e+1│- │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │l │ │
- │o │ │
- │s │ │
- │s │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │- │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │- - - │
- │ 0.00 │----------------------------------------------------------------------------------------------------│
- ├────────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤
- │ │0.00 3.99e+2│
- │ │ step │
- └────────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}];
+ [%expect.unreachable];
Stdio.printf "Log-loss, for better visibility:\n%!";
let plot_loss =
PrintBox_utils.plot ~x_label:"step" ~y_label:"log loss"
[ Line_plot { points = Array.of_list_rev !log_losses; content = PrintBox.line "-" } ]
in
PrintBox_text.output Stdio.stdout plot_loss;
- [%expect
- {|
- Log-loss, for better visibility:
- ┌─────────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │ 3.63 │- │
- │ │ │
- │ │ │
- │ │ │
- │ │- │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │- │
- │ │ - - │
- │ │ - - - │
- │ │------ - │
- │ │ ---- - - --- - - - - - │
- │ │ -- - - - --- -- - -- - │
- │ │ - -- - - --- - - --- ----- - -- │
- │l │ -- - - - - --- - - - │
- │o │ - - - -- - -- - - - - - │
- │g │ - - - - -- - - - - - - - │
- │ │ - - - -- - - - -- - - - │
- │l │ - - -- -- - - - - -│
- │o │ - - - - - - - - - - - │
- │s │ - - - - -- - │
- │s │ - - │
- │ │ - - - - - - - - - │
- │ │ - - - - - │
- │ │ - - │
- │ │ - - - │
- │ │ - - │
- │ │ │
- │ │ - │
- │ │ - │
- │ │ │
- │ │ │
- │ │ │
- │ │ │
- │ │ - │
- │ │ │
- │ │ │
- │ -1.00e+1│ - - - - ----- -- --------------- ---------------------------------------------------------│
- ├─────────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤
- │ │0.00 3.99e+2│
- │ │ step │
- └─────────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}];
+ [%expect.unreachable];
Stdio.printf "\nLearning rate:\n%!";
let plot_lr =
PrintBox_utils.plot ~x_label:"step" ~y_label:"learning rate"
[ Line_plot { points = Array.of_list_rev !learning_rates; content = PrintBox.line "-" } ]
in
PrintBox_text.output Stdio.stdout plot_lr;
- [%expect
- {|
- Learning rate:
- ┌─────────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │ -1.00e-1│ -│
- │ │ ---│
- │ │ ---- │
- │ │ --- │
- │ │ ---- │
- │ │ --- │
- │ │ --- │
- │ │ --- │
- │ │ --- │
- │ │ ---- │
- │ │ --- │
- │ │ ---- │
- │ │ --- │
- │l │ ---- │
- │e │ --- │
- │a │ --- │
- │r │ --- │
- │n │ --- │
- │i │ ---- │
- │n │ --- │
- │g │ ---- │
- │ │ --- │
- │r │ ---- │
- │a │ --- │
- │t │ --- │
- │e │ --- │
- │ │ --- │
- │ │ ---- │
- │ │ --- │
- │ │ ---- │
- │ │ --- │
- │ │ ---- │
- │ │ --- │
- │ │ --- │
- │ │ --- │
- │ │ --- │
- │ │ ---- │
- │ │ --- │
- │ │ ---- │
- │ -2.00e-1│--- │
- ├─────────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤
- │ │0.00 3.99e+2│
- │ │ step │
- └─────────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}];
+ [%expect.unreachable];
(* Testing how the syntax extension %op creates labels for the resulting tensors: *)
Stdio.printf "mlp_result's name: %s\n%!" @@ Tensor.debug_name mlp_result;
(* Note: mlp_result is not included in the resulting tensor's label, because the identifier label
does not propagate across function calls. *)
- [%expect {| mlp_result's name: mlp_point |}];
+ [%expect.unreachable];
(Stdio.printf "(mlp moons_input) name: %s\n%!"
@@ Tensor.debug_name
@@
@@ -398,4 +178,20 @@ let%expect_test "Micrograd half-moons example" =
] ->
subtensor
| _ -> assert false);
- [%expect {| (mlp moons_input) name: mlp_moons_input |}]
+ [%expect.unreachable]
+[@@expect.uncaught_exn {|
+ (* CR expect_test_collector: This test expectation appears to contain a backtrace.
+ This is strongly discouraged as backtraces are fragile.
+ Please change this test to not include a backtrace. *)
+ ("Utils.User_error(\"The linked context lacks node b1\")")
+ Raised at Backends.verify_prior_context.(fun) in file "arrayjit/lib/backends.ml", line 285, characters 11-93
+ Called from Base__Set.Tree0.iter.iter in file "src/set.ml", line 861, characters 8-11
+ Called from Base__Set.Tree0.iter.iter in file "src/set.ml", line 860, characters 8-14
+ Called from Base__Set.Accessors.iter in file "src/set.ml" (inlined), line 1193, characters 18-38
+ Called from Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 281-285, characters 2-94
+ Re-raised at Backends.verify_prior_context in file "arrayjit/lib/backends.ml", lines 280-285, characters 37-94
+ Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 527-528, characters 4-49
+ Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 526-540, characters 23-92
+ Called from Tutorials__Micrograd_demo.(fun) in file "test/micrograd_demo.ml", line 125, characters 4-83
+ Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28
+ |}]
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/43836256ca9e144a38cf7afda013efcb/default/test/hello_world_op.ml.corrected
diff --git a/_build/default/test/hello_world_op.ml b/_build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/hello_world_op.ml.corrected
index 6407bb4..18eb14f 100644
--- a/_build/default/test/hello_world_op.ml
+++ b/_build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/hello_world_op.ml.corrected
@@ -36,11 +36,11 @@ let%expect_test "Pointwise multiplication dims 1" =
{|
┌────────────────────┐
│[3]: *._y shape 0:1 │
- │┌┬─────────┐ │
- │││axis 0 │ │
- │├┼─────────┤ │
- │││ 1.40e+1 │ │
- │└┴─────────┘ │
+ │┌┬──────────┐ │
+ │││axis 0 │ │
+ │├┼──────────┤ │
+ │││ 5.77e-25 │ │
+ │└┴──────────┘ │
└────────────────────┘
|}]
@@ -67,11 +67,11 @@ let%expect_test "Matrix multiplication dims 1x1" =
{|
┌────────────────────────┐
│[0]: hey shape 1:1->0:1 │
- │┌──────┬──────┐ │
- ││ │axis 1│ │
- │├──────┼──────┤ │
- ││axis 0│ 7.00 │ │
- │└──────┴──────┘ │
+ │┌──────┬──────────┐ │
+ ││ │axis 1 │ │
+ │├──────┼──────────┤ │
+ ││axis 0│ 6.46e-25 │ │
+ │└──────┴──────────┘ │
└────────────────────────┘
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ y;
@@ -79,11 +79,11 @@ let%expect_test "Matrix multiplication dims 1x1" =
{|
┌───────────────────┐
│[6]: +_y shape 0:1 │
- │┌┬─────────┐ │
- │││axis 0 │ │
- │├┼─────────┤ │
- │││ 1.50e+1 │ │
- │└┴─────────┘ │
+ │┌┬──────┐ │
+ │││axis 0│ │
+ │├┼──────┤ │
+ │││ 1.00 │ │
+ │└┴──────┘ │
└───────────────────┘
|}]
@@ -108,7 +108,7 @@ let%expect_test "Print constant tensor" =
Tensor.print ~with_code:false ~with_grad:false `Inline @@ hey;
[%expect
{|
- [0]: [ 1.00 , 2.00 , 3.00 ; 4.00 , 5.00 , 6.00 ]_hey shape 1:3->0:2 [
+ [0]: c2x3_hey shape 1:3->0:2 [
1.00 , 2.00 , 3.00
; 4.00 , 5.00 , 6.00
]
@@ -116,22 +116,22 @@ let%expect_test "Print constant tensor" =
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]: [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |]_hoo shape 0:2|1:3 [|
+ [1]: [| [ 0.00 ; 0.00 ; 0.00 ] ; [ 0.00 ; 0.00 ; 0.00 ] |]_hoo shape 0:2|1:3 [|
[ 1.00 ; 2.00 ; 3.00 ]
; [ 4.00 ; 5.00 ; 6.00 ]
|]
@@ -140,7 +140,7 @@ let%expect_test "Print constant tensor" =
[%expect
{|
┌─────────────────────────────────────────────────────────────────────────────┐
- │[1]: [| [ 1.00 ; 2.00 ; 3.00 ] ; [ 4.00 ; 5.00 ; 6.00 ] |]_hoo shape 0:2|1:3 │
+ │[1]: [| [ 0.00 ; 0.00 ; 0.00 ] ; [ 0.00 ; 0.00 ; 0.00 ] |]_hoo shape 0:2|1:3 │
│┌──────┬──────────────────┐ │
││ │axis 1 │ │
│├──────┼──────────────────┤ │
@@ -471,28 +471,28 @@ let%expect_test "Matrix multiplication dims 2x3" =
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey;
[%expect
{|
- ┌────────────────────────┐
- │[0]: hey shape 1:2->0:3 │
- │┌──────┬────────────┐ │
- ││ │axis 1 │ │
- │├──────┼────────────┤ │
- ││axis 0│ 7.00 7.00 │ │
- ││ │ 7.00 7.00 │ │
- ││ │ 7.00 7.00 │ │
- │└──────┴────────────┘ │
- └────────────────────────┘
+ ┌─────────────────────────────┐
+ │[0]: hey shape 1:2->0:3 │
+ │┌──────┬────────────────────┐│
+ ││ │axis 1 ││
+ │├──────┼────────────────────┤│
+ ││axis 0│ 2.92e-25 3.08e-41 ││
+ ││ │ 0.00 0.00 ││
+ ││ │ 4.48e-44 0.00 ││
+ │└──────┴────────────────────┘│
+ └─────────────────────────────┘
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ y;
[%expect
{|
- ┌──────────────────────────────┐
- │[6]: +_y shape 0:3 │
- │┌┬───────────────────────────┐│
- │││axis 0 ││
- │├┼───────────────────────────┤│
- │││ 3.90e+1 4.00e+1 4.10e+1 ││
- │└┴───────────────────────────┘│
- └──────────────────────────────┘
+ ┌─────────────────────┐
+ │[6]: +_y shape 0:3 │
+ │┌┬──────────────────┐│
+ │││axis 0 ││
+ │├┼──────────────────┤│
+ │││ 4.00 5.00 6.00 ││
+ │└┴──────────────────┘│
+ └─────────────────────┘
|}]
let%expect_test "Big matrix" =
@@ -516,70 +516,37 @@ let%expect_test "Big matrix" =
Train.forward_and_forget backend ctx y;
Tensor.print ~with_code:false ~with_grad:false `Inline zero_to_twenty;
[%expect
- {|
- [2]: 0...20 shape 0:21 [
- 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 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default zero_to_twenty;
[%expect
- {|
- ┌──────────────────────────────────────┐
- │[2]: 0...20 shape 0:21 │
- │┌┬───────────────────────────────────┐│
- │││axis 0 ││
- │├┼───────────────────────────────────┤│
- │││ 0.00 1.00 ... 1.90e+1 2.00e+1 ││
- │└┴───────────────────────────────────┘│
- └──────────────────────────────────────┘
- |}];
+ {| [2]: 0...20 shape 0:21 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default hey;
[%expect
{|
- ┌──────────────────────────────────────────────────┐
- │[0]: hey shape 1:21->0:21 │
- │┌──────┬─────────────────────────────────────────┐│
- ││ │axis 1 ││
- │├──────┼─────────────────────────────────────────┤│
- ││axis 0│ 5.00e-1 5.00e-1 ... 5.00e-1 5.00e-1 ││
- ││ │ 5.00e-1 5.00e-1 ... 5.00e-1 5.00e-1 ││
- ││ │ ... ... ... ... ... ││
- ││ │ 5.00e-1 5.00e-1 ... 5.00e-1 5.00e-1 ││
- ││ │ 5.00e-1 5.00e-1 ... 5.00e-1 5.00e-1 ││
- │└──────┴─────────────────────────────────────────┘│
- └──────────────────────────────────────────────────┘
+ ┌──────────────────────────────────────────────────────┐
+ │[0]: hey shape 1:21->0:21 │
+ │┌──────┬─────────────────────────────────────────────┐│
+ ││ │axis 1 ││
+ │├──────┼─────────────────────────────────────────────┤│
+ ││axis 0│ 7.94e-34 4.59e-41 ... 4.00e-11 2.27e-12 ││
+ ││ │ 6.33e-10 7.21e+17 ... 4.51e+16 1.35e-19 ││
+ ││ │ ... ... ... ... ... ││
+ ││ │ 0.00 0.00 ... 0.00 0.00 ││
+ ││ │ 0.00 0.00 ... 0.00 0.00 ││
+ │└──────┴─────────────────────────────────────────────┘│
+ └──────────────────────────────────────────────────────┘
|}];
Tensor.print ~with_code:false ~with_grad:false `Default y;
[%expect
{|
- ┌────────────────────────────────────────────┐
- │[5]: + shape 0:21 │
- │┌┬─────────────────────────────────────────┐│
- │││axis 0 ││
- │├┼─────────────────────────────────────────┤│
- │││ 1.05e+2 1.06e+2 ... 1.24e+2 1.25e+2 ││
- │└┴─────────────────────────────────────────┘│
- └────────────────────────────────────────────┘
+ ┌──────────────────────────────────────────────┐
+ │[5]: + shape 0:21 │
+ │┌┬───────────────────────────────────────────┐│
+ │││axis 0 ││
+ │├┼───────────────────────────────────────────┤│
+ │││ 2.84e+34 1.38e+19 ... 1.90e+1 2.00e+1 ││
+ │└┴───────────────────────────────────────────┘│
+ └──────────────────────────────────────────────┘
|}]
let%expect_test "Very big tensor" =
@@ -603,140 +570,7 @@ let%expect_test "Very big tensor" =
Train.forward_and_forget backend ctx hoo;
Tensor.print ~with_code:false ~with_grad:false `Default hey;
[%expect
- {|
- ┌───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │[0]: r6x10x11x7x8x9 shape 0:6|3:7,4:8,5:9->1:10,2:11 │
- │┌──────┬─────────────────────────────────────────┬─────────────────────────────────────────┬──────┬─────────────────────────────────────────┬─────────────────────────────────────────┐│
- ││0 @ 0 │0 @ 4 │1 @ 4 │~~~~~ │6 @ 4 │7 @ 4 ││
- ││ │axis 5 │axis 5 │axis 5│axis 5 │axis 5 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││0 @ 1 │ 0.00 1.00 ... 7.00 8.00 │ 9.00 1.00e+1 ... 1.60e+1 1.70e+1 │ ... │ 5.40e+1 5.50e+1 ... 6.10e+1 6.20e+1 │ 6.30e+1 6.40e+1 ... 7.00e+1 7.10e+1 ││
- ││axis 2│ 5.04e+2 5.05e+2 ... 5.11e+2 5.12e+2 │ 5.13e+2 5.14e+2 ... 5.20e+2 5.21e+2 │ │ 5.58e+2 5.59e+2 ... 5.65e+2 5.66e+2 │ 5.67e+2 5.68e+2 ... 5.74e+2 5.75e+2 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 4.53e+3 4.53e+3 ... 4.54e+3 4.54e+3 │ 4.54e+3 4.54e+3 ... 4.55e+3 4.55e+3 │ │ 4.59e+3 4.59e+3 ... 4.59e+3 4.59e+3 │ 4.59e+3 4.60e+3 ... 4.60e+3 4.60e+3 ││
- ││ │ 5.04e+3 5.04e+3 ... 5.04e+3 5.04e+3 │ 5.04e+3 5.05e+3 ... 5.05e+3 5.05e+3 │ │ 5.09e+3 5.09e+3 ... 5.10e+3 5.10e+3 │ 5.10e+3 5.10e+3 ... 5.11e+3 5.11e+3 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││1 @ 1 │ 5.54e+3 5.54e+3 ... 5.55e+3 5.55e+3 │ 5.55e+3 5.55e+3 ... 5.56e+3 5.56e+3 │ ... │ 5.59e+3 5.59e+3 ... 5.60e+3 5.60e+3 │ 5.60e+3 5.60e+3 ... 5.61e+3 5.61e+3 ││
- ││axis 2│ 6.04e+3 6.04e+3 ... 6.05e+3 6.05e+3 │ 6.05e+3 6.05e+3 ... 6.06e+3 6.06e+3 │ │ 6.10e+3 6.10e+3 ... 6.10e+3 6.11e+3 │ 6.11e+3 6.11e+3 ... 6.11e+3 6.11e+3 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 1.00e+4 1.00e+4 ... 1.00e+4 1.00e+4 │ 1.00e+4 1.00e+4 ... 1.00e+4 1.00e+4 │ │ 1.01e+4 1.01e+4 ... 1.01e+4 1.01e+4 │ 1.01e+4 1.01e+4 ... 1.01e+4 1.01e+4 ││
- ││ │ 1.05e+4 1.05e+4 ... 1.05e+4 1.05e+4 │ 1.05e+4 1.05e+4 ... 1.06e+4 1.06e+4 │ │ 1.06e+4 1.06e+4 ... 1.06e+4 1.06e+4 │ 1.06e+4 1.06e+4 ... 1.06e+4 1.06e+4 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││~~~~~ │ ... │ ... │ ... │ ... │ ... ││
- ││axis 2│ │ │ │ │ ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││8 @ 1 │ 4.43e+4 4.43e+4 ... 4.43e+4 4.43e+4 │ 4.43e+4 4.43e+4 ... 4.43e+4 4.43e+4 │ ... │ 4.44e+4 4.44e+4 ... 4.44e+4 4.44e+4 │ 4.44e+4 4.44e+4 ... 4.44e+4 4.44e+4 ││
- ││axis 2│ 4.48e+4 4.48e+4 ... 4.48e+4 4.48e+4 │ 4.48e+4 4.48e+4 ... 4.48e+4 4.48e+4 │ │ 4.49e+4 4.49e+4 ... 4.49e+4 4.49e+4 │ 4.49e+4 4.49e+4 ... 4.49e+4 4.49e+4 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 4.88e+4 4.88e+4 ... 4.88e+4 4.88e+4 │ 4.88e+4 4.88e+4 ... 4.89e+4 4.89e+4 │ │ 4.89e+4 4.89e+4 ... 4.89e+4 4.89e+4 │ 4.89e+4 4.89e+4 ... 4.89e+4 4.89e+4 ││
- ││ │ 4.93e+4 4.93e+4 ... 4.93e+4 4.94e+4 │ 4.94e+4 4.94e+4 ... 4.94e+4 4.94e+4 │ │ 4.94e+4 4.94e+4 ... 4.94e+4 4.94e+4 │ 4.94e+4 4.94e+4 ... 4.94e+4 4.94e+4 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││9 @ 1 │ 4.98e+4 4.98e+4 ... 4.99e+4 4.99e+4 │ 4.99e+4 4.99e+4 ... 4.99e+4 4.99e+4 │ ... │ 4.99e+4 4.99e+4 ... 4.99e+4 4.99e+4 │ 4.99e+4 4.99e+4 ... 4.99e+4 4.99e+4 ││
- ││axis 2│ 504e+4 5.04e+4 ... 5.04e+4 5.04e+4 │ 5.04e+4 5.04e+4 ... 5.04e+4 5.04e+4 │ │ 5.04e+4 5.04e+4 ... 5.04e+4 5.04e+4 │ 5.04e+4 5.04e+4 ... 5.04e+4 5.04e+4 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 5.44e+4 5.44e+4 ... 5.44e+4 5.44e+4 │ 5.44e+4 5.44e+4 ... 5.44e+4 5.44e+4 │ │ 5.44e+4 5.44e+4 ... 5.44e+4 5.44e+4 │ 5.44e+4 5.44e+4 ... 5.45e+4 5.45e+4 ││
- ││ │ 5.49e+4 5.49e+4 ... 5.49e+4 5.49e+4 │ 5.49e+4 5.49e+4 ... 5.49e+4 5.49e+4 │ │ 5.49e+4 5.49e+4 ... 5.49e+4 5.49e+4 │ 5.49e+4 5.50e+4 ... 5.50e+4 5.50e+4 ││
- │└──────┴─────────────────────────────────────────┴─────────────────────────────────────────┴──────┴─────────────────────────────────────────┴─────────────────────────────────────────┘│
- ├───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
- │┌──────┬─────────────────────────────────────────┬─────────────────────────────────────────┬──────┬─────────────────────────────────────────┬─────────────────────────────────────────┐│
- ││1 @ 0 │0 @ 4 │1 @ 4 │~~~~~ │6 @ 4 │7 @ 4 ││
- ││ │axis 5 │axis 5 │axis 5│axis 5 │axis 5 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││0 @ 1 │ 5.54e+4 5.54e+4 ... 5.54e+4 5.54e+4 │ 5.54e+4 5.54e+4 ... 5.54e+4 5.54e+4 │ ... │ 5.54e+4 5.54e+4 ... 5.55e+4 5.55e+4 │ 5.55e+4 5.55e+4 ... 5.55e+4 5.55e+4 ││
- ││axis 2│ 5.59e+4 5.59e+4 ... 5.59e+4 5.59e+4 │ 5.59e+4 5.59e+4 ... 5.59e+4 5.59e+4 │ │ 5.59e+4 5.59e+4 ... 5.60e+4 5.60e+4 │ 5.60e+4 5.60e+4 ... 5.60e+4 5.60e+4 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 5.99e+4 5.99e+4 ... 5.99e+4 5.99e+4 │ 5.99e+4 5.99e+4 ... 5.99e+4 5.99e+4 │ │ 6.00e+4 6.00e+4 ... 6.00e+4 6.00e+4 │ 6.00e+4 6.00e+4 ... 6.00e+4 6.00e+4 ││
- ││ │ 6.04e+4 6.04e+4 ... 6.04e+4 6.04e+4 │ 6.04e+4 6.04e+4 ... 6.04e+4 6.04e+4 │ │ 6.05e+4 6.05e+4 ... 6.05e+4 6.05e+4 │ 6.05e+4 6.05e+4 ... 6.05e+4 6.05e+4 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││1 @ 1 │ 6.09e+4 6.09e+4 ... 6.09e+4 6.09e+4 │ 6.09e+4 6.09e+4 ... 6.10e+4 6.10e+4 │ ... │ 6.10e+4 6.10e+4 ... 6.10e+4 6.10e+4 │ 6.10e+4 6.10e+4 ... 6.10e+4 6.10e+4 ││
- ││axis 2│ 6.14e+4 6.14e+4 ... 6.14e+4 6.14e+4 │ 6.14e+4 6.14e+4 ... 6.15e+4 6.15e+4 │ │ 6.15e+4 6.15e+4 ... 6.15e+4 6.15e+4 │ 6.15e+4 6.15e+4 ... 6.15e+4 6.15e+4 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 6.55e+4 6.55e+4 ... 6.55e+4 6.55e+4 │ 6.55e+4 6.55e+4 ... 6.55e+4 6.55e+4 │ │ 6.55e+4 6.55e+4 ... 6.55e+4 6.55e+4 │ 6.55e+4 6.55e+4 ... 6.55e+4 6.55e+4 ││
- ││ │ 6.60e+4 6.60e+4 ... 6.60e+4 6.60e+4 │ 6.60e+4 6.60e+4 ... 6.60e+4 6.60e+4 │ │ 6.60e+4 6.60e+4 ... 6.60e+4 6.60e+4 │ 6.60e+4 6.60e+4 ... 6.60e+4 6.60e+4 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││~~~~~ │ ... │ ... │ ... │ ... │ ... ││
- ││axis 2│ │ │ │ │ ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││8 @ 1 │ 9.97e+4 9.97e+4 ... 9.97e+4 9.98e+4 │ 9.98e+4 9.98e+4 ... 9.98e+4 9.98e+4 │ ... │ 9.98e+4 9.98e+4 ... 9.98e+4 9.98e+4 │ 9.98e+4 9.98e+4 ... 9.98e+4 9.98e+4 ││
- ││axis 2│ 1.00e+5 1.00e+5 ... 1.00e+5 1.00e+5 │ 1.00e+5 1.00e+5 ... 1.00e+5 1.00e+5 │ │ 1.00e+5 1.00e+5 ... 1.00e+5 1.00e+5 │ 1.00e+5 1.00e+5 ... 1.00e+5 1.00e+5 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 1.04e+5 1.04e+5 ... 1.04e+5 1.04e+5 │ 1.04e+5 1.04e+5 ... 1.04e+5 1.04e+5 │ │ 1.04e+5 1.04e+5 ... 1.04e+5 1.04e+5 │ 1.04e+5 1.04e+5 ... 1.04e+5 1.04e+5 ││
- ││ │ 1.04e+5 1.04e+5 ... 1.04e+5 1.04e+5 │ 1.04e+5 1.04e+5 ... 1.04e+5 1.04e+5 │ │ 1.04e+5 1.04e+5 ... 1.04e+5 1.04e+5 │ 1.04e+5 1.04e+5 ... 1.04e+5 1.04e+5 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││9 @ 1 │ 1.05e+5 1.05e+5 ... 1.05e+5 1.05e+5 │ 1.05e+5 1.05e+5 ... 1.05e+5 1.05e+5 │ ... │ 1.05e+5 1.05e+5 ... 1.05e+5 1.05e+5 │ 1.05e+5 1.05e+5 ... 1.05e+5 1.05e+5 ││
- ││axis 2│ 1.05e+5 1.05e+5 ... 1.05e+5 1.05e+5 │ 1.05e+5 1.05e+5 ... 1.05e+5 1.05e+5 │ │ 1.05e+5 1.05e+5 ... 1.05e+5 1.05e+5 │ 1.05e+5 1.05e+5 ... 1.05e+5 1.05e+5 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 1.09e+5 1.09e+5 ... 1.09e+5 1.09e+5 │ 1.09e+5 1.09e+5 ... 1.09e+5 1.09e+5 │ │ 1.09e+5 1.09e+5 ... 1.09e+5 1.09e+5 │ 1.09e+5 1.09e+5 ... 1.09e+5 1.09e+5 ││
- ││ │ 1.10e+5 1.10e+5 ... 1.10e+5 1.10e+5 │ 1.10e+5 1.10e+5 ... 1.10e+5 1.10e+5 │ │ 1.10e+5 1.10e+5 ... 1.10e+5 1.10e+5 │ 1.10e+5 1.10e+5 ... 1.10e+5 1.10e+5 ││
- │└──────┴─────────────────────────────────────────┴─────────────────────────────────────────┴──────┴─────────────────────────────────────────┴─────────────────────────────────────────┘│
- ├───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
- │ ... │
- ├───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
- │┌──────┬─────────────────────────────────────────┬─────────────────────────────────────────┬──────┬─────────────────────────────────────────┬─────────────────────────────────────────┐│
- ││4 @ 0 │0 @ 4 │1 @ 4 │~~~~~ │6 @ 4 │7 @ 4 ││
- ││ │axis 5 │axis 5 │axis 5│axis 5 │axis 5 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││0 @ 1 │ 2.21e+5 2.21e+5 ... 2.21e+5 2.21e+5 │ 2.21e+5 2.21e+5 ... 2.21e+5 2.21e+5 │ ... │ 2.21e+5 2.21e+5 ... 2.21e+5 2.21e+5 │ 2.21e+5 2.21e+5 ... 2.21e+5 2.21e+5 ││
- ││axis 2│ 2.22e+5 2.22e+5 ... 2.22e+5 2.22e+5 │ 2.22e+5 2.22e+5 ... 2.22e+5 2.22e+5 │ │ 2.22e+5 2.22e+5 ... 2.22e+5 2.22e+5 │ 2.22e+5 2.22e+5 ... 2.22e+5 2.22e+5 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 2.26e+5 2.26e+5 ... 2.26e+5 2.26e+5 │ 2.26e+5 2.26e+5 ... 2.26e+5 2.26e+5 │ │ 2.26e+5 2.26e+5 ... 2.26e+5 2.26e+5 │ 2.26e+5 2.26e+5 ... 2.26e+5 2.26e+5 ││
- ││ │ 2.26e+5 2.26e+5 ... 2.26e+5 2.26e+5 │ 2.26e+5 2.26e+5 ... 2.26e+5 2.26e+5 │ │ 2.26e+5 2.26e+5 ... 2.26e+5 2.26e+5 │ 2.26e+5 2.26e+5 ... 2.26e+5 2.26e+5 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││1 @ 1 │ 2.27e+5 2.27e+5 ... 2.27e+5 2.27e+5 │ 2.27e+5 2.27e+5 ... 2.27e+5 2.27e+5 │ ... │ 2.27e+5 2.27e+5 ... 2.27e+5 2.27e+5 │ 2.27e+5 2.27e+5 ... 2.27e+5 2.27e+5 ││
- ││axis 2│ 2.27e+5 2.27e+5 ... 2.27e+5 2.27e+5 │ 2.27e+5 2.27e+5 ... 2.27e+5 2.27e+5 │ │ 2.27e+5 2.27e+5 ... 2.27e+5 2.27e+5 │ 2.27e+5 2.27e+5 ... 2.27e+5 2.27e+5 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 2.31e+5 2.31e+5 ... 2.31e+5 2.31e+5 │ 2.31e+5 2.31e+5 ... 2.31e+5 2.31e+5 │ │ 2.31e+5 2.31e+5 ... 2.31e+5 2.31e+5 │ 2.31e+5 2.31e+5 ... 2.31e+5 2.31e+5 ││
- ││ │ 2.32e+5 2.32e+5 ... 2.32e+5 2.32e+5 │ 2.32e+5 2.32e+5 ... 2.32e+5 2.32e+5 │ │ 2.32e+5 2.32e+5 ... 2.32e+5 2.32e+5 │ 2.32e+5 2.32e+5 ... 2.32e+5 2.32e+5 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││~~~~~ │ ... │ ... │ ... │ ... │ ... ││
- ││axis 2│ │ │ │ │ ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││8 @ 1 │ 2.66e+5 2.66e+5 ... 2.66e+5 2.66e+5 │ 2.66e+5 2.66e+5 ... 2.66e+5 2.66e+5 │ ... │ 2.66e+5 2.66e+5 ... 2.66e+5 2.66e+5 │ 2.66e+5 2.66e+5 ... 2.66e+5 2.66e+5 ││
- ││axis 2│ 2.66e+5 2.66e+5 ... 2.66e+5 2.66e+5 │ 2.66e+5 2.66e+5 ... 2.66e+5 2.66e+5 │ │ 2.66e+5 2.66e+5 ... 2.66e+5 2.66e+5 │ 2.66e+5 2.66e+5 ... 2.66e+5 2.66e+5 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 2.70e+5 2.70e+5 ... 2.70e+5 2.70e+5 │ 2.70e+5 2.70e+5 ... 2.70e+5 2.70e+5 │ │ 2.70e+5 2.70e+5 ... 2.70e+5 2.70e+5 │ 2.70e+5 2.70e+5 ... 2.70e+5 2.70e+5 ││
- ││ │ 2.71e+5 2.71e+5 ... 2.71e+5 2.71e+5 │ 2.71e+5 2.71e+5 ... 2.71e+5 2.71e+5 │ │ 2.71e+5 2.71e+5 ... 2.71e+5 2.71e+5 │ 2.71e+5 2.71e+5 ... 2.71e+5 2.71e+5 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││9 @ 1 │ 2.71e+5 2.71e+5 ... 2.71e+5 2.71e+5 │ 2.71e+5 2.71e+5 ... 2.71e+5 2.71e+5 │ ... │ 2.71e+5 2.71e+5 ... 2.71e+5 2.71e+5 │ 2.71e+5 2.71e+5 ... 2.71e+5 2.71e+5 ││
- ││axis 2│ 2.72e+5 2.72e+5 ... 2.72e+5 2.72e+5 │ 2.72e+5 2.72e+5 ... 2.72e+5 2.72e+5 │ │ 2.72e+5 2.72e+5 ... 2.72e+5 2.72e+5 │ 2.72e+5 2.72e+5 ... 2.72e+5 2.72e+5 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 2.76e+5 2.76e+5 ... 2.76e+5 2.76e+5 │ 2.76e+5 2.76e+5 ... 2.76e+5 2.76e+5 │ │ 2.76e+5 2.76e+5 ... 2.76e+5 2.76e+5 │ 2.76e+5 2.76e+5 ... 2.76e+5 2.76e+5 ││
- ││ │ 2.76e+5 2.76e+5 ... 2.76e+5 2.76e+5 │ 2.76e+5 2.76e+5 ... 2.76e+5 2.76e+5 │ │ 2.76e+5 2.76e+5 ... 2.76e+5 2.76e+5 │ 2.76e+5 2.76e+5 ... 2.76e+5 2.76e+5 ││
- │└──────┴─────────────────────────────────────────┴─────────────────────────────────────────┴──────┴─────────────────────────────────────────┴─────────────────────────────────────────┘│
- ├───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
- │┌──────┬─────────────────────────────────────────┬─────────────────────────────────────────┬──────┬─────────────────────────────────────────┬─────────────────────────────────────────┐│
- ││5 @ 0 │0 @ 4 │1 @ 4 │~~~~~ │6 @ 4 │7 @ 4 ││
- ││ │axis 5 │axis 5 │axis 5│axis 5 │axis 5 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││0 @ 1 │ 2.77e+5 2.77e+5 ... 2.77e+5 2.77e+5 │ 2.77e+5 2.77e+5 ... 2.77e+5 2.77e+5 │ ... │ 2.77e+5 2.77e+5 ... 2.77e+5 2.77e+5 │ 2.77e+5 2.77e+5 ... 2.77e+5 2.77e+5 ││
- ││axis 2│ 2.77e+5 2.77e+5 ... 2.77e+5 2.77e+5 │ 2.77e+5 2.77e+5 ... 2.77e+5 2.77e+5 │ │ 2.77e+5 2.77e+5 ... 2.77e+5 2.77e+5 │ 2.77e+5 2.77e+5 ... 2.77e+5 2.77e+5 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 2.81e+5 2.81e+5 ... 2.81e+5 2.81e+5 │ 2.81e+5 2.81e+5 ... 2.81e+5 2.81e+5 │ │ 2.81e+5 2.81e+5 ... 2.81e+5 2.81e+5 │ 2.81e+5 2.81e+5 ... 2.81e+5 2.81e+5 ││
- ││ │ 2.82e+5 2.82e+5 ... 2.82e+5 2.82e+5 │ 2.82e+5 2.82e+5 ... 2.82e+5 2.82e+5 │ │ 2.82e+5 2.82e+5 ... 2.82e+5 2.82e+5 │ 2.82e+5 2.82e+5 ... 2.82e+5 2.82e+5 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││1 @ 1 │ 2.82e+5 2.82e+5 ... 2.82e+5 2.82e+5 │ 2.82e+5 2.82e+5 ... 2.82e+5 2.82e+5 │ ... │ 2.82e+5 2.82e+5 ... 2.82e+5 2.82e+5 │ 2.82e+5 2.82e+5 ... 2.82e+5 2.82e+5 ││
- ││axis 2│ 2.83e+5 2.83e+5 ... 2.83e+5 2.83e+5 │ 2.83e+5 2.83e+5 ... 2.83e+5 2.83e+5 │ │ 2.83e+5 2.83e+5 ... 2.83e+5 2.83e+5 │ 2.83e+5 2.83e+5 ... 2.83e+5 2.83e+5 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 2.87e+5 2.87e+5 ... 2.87e+5 2.87e+5 │ 2.87e+5 2.87e+5 ... 2.87e+5 2.87e+5 │ │ 2.87e+5 2.87e+5 ... 2.87e+5 2.87e+5 │ 2.87e+5 2.87e+5 ... 2.87e+5 2.87e+5 ││
- ││ │ 2.87e+5 2.87e+5 ... 2.87e+5 2.87e+5 │ 2.87e+5 2.87e+5 ... 2.87e+5 2.87e+5 │ │ 2.87e+5 2.87e+5 ... 2.87e+5 2.87e+5 │ 2.87e+5 2.87e+5 ... 2.87e+5 2.87e+5 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││~~~~~ │ ... │ ... │ ... │ ... │ ... ││
- ││axis 2│ │ │ │ │ ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││8 @ 1 │ 3.21e+5 3.21e+5 ... 3.21e+5 3.21e+5 │ 3.21e+5 3.21e+5 ... 3.21e+5 3.21e+5 │ ... │ 3.21e+5 3.21e+5 ... 3.21e+5 3.21e+5 │ 3.21e+5 3.21e+5 ... 3.21e+5 3.21e+5 ││
- ││axis 2│ 3.22e+5 3.22e+5 ... 3.22e+5 3.22e+5 │ 3.22e+5 3.22e+5 ... 3.22e+5 3.22e+5 │ │ 3.22e+5 3.22e+5 ... 3.22e+5 3.22e+5 │ 3.22e+5 3.22e+5 ... 3.22e+5 3.22e+5 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 3.26e+5 3.26e+5 ... 3.26e+5 3.26e+5 │ 3.26e+5 3.26e+5 ... 3.26e+5 3.26e+5 │ │ 3.26e+5 3.26e+5 ... 3.26e+5 3.26e+5 │ 3.26e+5 3.26e+5 ... 3.26e+5 3.26e+5 ││
- ││ │ 3.26e+5 3.26e+5 ... 3.26e+5 3.26e+5 │ 3.26e+5 3.26e+5 ... 3.26e+5 3.26e+5 │ │ 3.26e+5 3.26e+5 ... 3.26e+5 3.26e+5 │ 3.26e+5 3.26e+5 ... 3.26e+5 3.26e+5 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼──────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││9 @ 1 │ 3.27e+5 3.27e+5 ... 3.27e+5 3.27e+5 │ 3.27e+5 3.27e+5 ... 3.27e+5 3.27e+5 │ ... │ 3.27e+5 3.27e+5 ... 3.27e+5 3.27e+5 │ 3.27e+5 3.27e+5 ... 3.27e+5 3.27e+5 ││
- ││axis 2│ 3.27e+5 3.27e+5 ... 3.27e+5 3.27e+5 │ 3.27e+5 3.27e+5 ... 3.27e+5 3.27e+5 │ │ 3.27e+5 3.27e+5 ... 3.27e+5 3.27e+5 │ 3.27e+5 3.27e+5 ... 3.27e+5 3.27e+5 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 3.31e+5 3.31e+5 ... 3.31e+5 3.31e+5 │ 3.31e+5 3.31e+5 ... 3.31e+5 3.31e+5 │ │ 3.31e+5 3.31e+5 ... 3.31e+5 3.31e+5 │ 3.31e+5 3.31e+5 ... 3.31e+5 3.31e+5 ││
- ││ │ 3.32e+5 3.32e+5 ... 3.32e+5 3.32e+5 │ 3.32e+5 3.32e+5 ... 3.32e+5 3.32e+5 │ │ 3.32e+5 3.32e+5 ... 3.32e+5 3.32e+5 │ 3.32e+5 3.32e+5 ... 3.32e+5 3.32e+5 ││
- │└──────┴─────────────────────────────────────────┴─────────────────────────────────────────┴──────┴─────────────────────────────────────────┴─────────────────────────────────────────┘│
- └───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}];
+ {| [0]: r6x10x11x7x8x9 shape 0:6|3:7,4:8,5:9->1:10,2:11 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default hoo;
(* Disable line wrapping for viewing the output. In VSCode: `View: Toggle Word Wrap`. *)
[%expect
File "test/primitive_ops.ml", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/primitive_ops.ml _build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/primitive_ops.ml.corrected
diff --git a/_build/default/test/primitive_ops.ml b/_build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/primitive_ops.ml.corrected
index c0aa497..44c6652 100644
--- a/_build/default/test/primitive_ops.ml
+++ b/_build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/primitive_ops.ml.corrected
@@ -318,54 +318,129 @@ let%expect_test "sin(x)" =
let%op f x = sin x in
let plot_box = plot_unop ~f () in
PrintBox_text.output Stdio.stdout plot_box;
- [%expect
- {|
- ┌─────────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │ 9.99e-1 │ # │
- │ │#### ## *** ** ### ### │
- │ │ # ** ** # # │
- │ │ # * * # # │
- │ │ # # # │
- │ │ # * * # # │
- │ │ * * # │
- │ │ # * #* │
- │ │ # # # │
- │ │ * * │
- │ │ # * # * # │
- │ │ # # │
- │ │ # * * │
- │ │ # # # │
- │ │* * * *│
- │ │ # # # │
- │ │ * * * * │
- │ │ # # # │
- │f │ * * * * │
- │( │ # # # │
- │x │- * - - - - - - *- - - - - - * - - - - - -* │
- │) │ # # # │
- │ │ * * * * │
- │ │ # # # │
- │ │ * * * * │
- │ │ # # # │
- │ │ * * * * │
- │ │ # # # │
- │ │ * * * # * │
- │ │ # * # * │
- │ │ * # # # * │
- │ │ * * * * │
- │ │ # # # │
- │ │ * * # * #* │
- │ │ * * * * │
- │ │ * # # * # │
- │ │ * * # # * * # │
- │ │ * * # # * * # │
- │ │ ** * # # * ** # │
- │ -9.99e-1│ * ***** ####### **** * ## ####│
- ├─────────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤
- │ │-5.00 5.00│
- │ │ x │
- └─────────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}]
+ [%expect.unreachable]
+[@@expect.uncaught_exn {|
+ (* CR expect_test_collector: This test expectation appears to contain a backtrace.
+ This is strongly discouraged as backtraces are fragile.
+ Please change this test to not include a backtrace. *)
+ "Assert_failure arrayjit/lib/c_syntax.ml:453:4"
+ Raised at Ir__C_syntax.C_syntax.pp_array_offset in file "arrayjit/lib/c_syntax.ml", line 453, characters 4-39
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 509, characters 25-53
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 479, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.pp_ll in file "arrayjit/lib/c_syntax.ml", line 480, characters 17-25
+ Called from Ir__C_syntax.C_syntax.compile_main in file "arrayjit/lib/c_syntax.ml" (inlined), line 732, characters 43-52
+ Called from Ir__C_syntax.C_syntax.compile_proc in file "arrayjit/lib/c_syntax.ml", line 855, characters 63-79
+ Called from Backends__Cc_backend.compile in file "arrayjit/lib/cc_backend.ml", line 137, characters 25-69
+ Called from Backends.Add_device.compile in file "arrayjit/lib/backends.ml", line 326, characters 15-45
+ Called from Backends.Raise_backend.compile in file "arrayjit/lib/backends.ml", line 443, characters 29-59
+ Re-raised at Backends.Raise_backend.compile in file "arrayjit/lib/backends.ml", line 443, characters 4-59
+ Re-raised at Backends.Raise_backend.compile in file "arrayjit/lib/backends.ml", lines 439-447, characters 26-99
+ Called from Ocannl__Train.to_routine in file "lib/train.ml", line 354, characters 26-82
+ Called from Tutorials__Primitive_ops.plot_unop in file "test/primitive_ops.ml", line 35, characters 19-72
+ Called from Tutorials__Primitive_ops.(fun) in file "test/primitive_ops.ml", line 319, characters 17-32
+ Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28
+ |}]
let%expect_test "cos(x)" =
let%op f x = cos x in
File "test/einsum_trivia.ml", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/einsum_trivia.ml _build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/einsum_trivia.ml.corrected
diff --git a/_build/default/test/einsum_trivia.ml b/_build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/einsum_trivia.ml.corrected
index 35a36fa..246009e 100644
--- a/_build/default/test/einsum_trivia.ml
+++ b/_build/.sandbox/43836256ca9e144a38cf7afda013efcb/default/test/einsum_trivia.ml.corrected
@@ -28,20 +28,7 @@ let%expect_test "einsum1 permute axes" =
Train.forward_and_forget backend ctx ho;
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey;
[%expect
- {|
- ┌─────────────────────────────────────────────────────────────┐
- │[0]: r2x4x3 shape 0:2|2:3->1:4 │
- │┌──────┬────────────────────────┬───────────────────────────┐│
- ││ │0 @ 0 │1 @ 0 ││
- ││ │axis 2 │axis 2 ││
- │├──────┼────────────────────────┼───────────────────────────┤│
- ││axis 1│ 0.00 1.00 2.00 │ 1.20e+1 1.30e+1 1.40e+1 ││
- ││ │ 3.00 4.00 5.00 │ 1.50e+1 1.60e+1 1.70e+1 ││
- ││ │ 6.00 7.00 8.00 │ 1.80e+1 1.90e+1 2.00e+1 ││
- ││ │ 9.00 1.00e+1 1.10e+1 │ 2.10e+1 2.20e+1 2.30e+1 ││
- │└──────┴────────────────────────┴───────────────────────────┘│
- └─────────────────────────────────────────────────────────────┘
- |}];
+ {| [0]: r2x4x3 shape 0:2|2:3->1:4 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ ho;
[%expect
{|
@@ -64,106 +51,7 @@ let%expect_test "einsum1 permute axes" =
Train.forward_and_forget backend ctx ho2;
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey2;
[%expect
- {|
- ┌────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │[2]: r2x3x6x7x4x5 shape 0:2,1:3|4:4,5:5->2:6,3:7 │
- │┌──────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┐│
- ││0 @ 1 │0 @ 4 │1 @ 4 │2 @ 4 │3 @ 4 ││
- ││ │axis 5 │axis 5 │axis 5 │axis 5 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││0 @ 2 │ 0.00 1.00 2.00 3.00 4.00 │ 5.00 6.00 7.00 8.00 9.00 │ 1.00e+1 1.10e+1 1.20e+1 1.30e+1 1.40e+1 │ 1.50e+1 1.60e+1 1.70e+1 1.80e+1 1.90e+1 ││
- ││axis 3│ 2.00e+1 2.10e+1 2.20e+1 2.30e+1 2.40e+1 │ 2.50e+1 2.60e+1 2.70e+1 2.80e+1 2.90e+1 │ 3.00e+1 3.10e+1 3.20e+1 3.30e+1 3.40e+1 │ 3.50e+1 3.60e+1 3.70e+1 3.80e+1 3.90e+1 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 1.00e+2 1.01e+2 1.02e+2 1.03e+2 1.04e+2 │ 1.05e+2 1.06e+2 1.07e+2 1.08e+2 1.09e+2 │ 1.10e+2 1.11e+2 1.12e+2 1.13e+2 1.14e+2 │ 1.15e+2 1.16e+2 1.17e+2 1.18e+2 1.19e+2 ││
- ││ │ 1.20e+2 1.21e+2 1.22e+2 1.23e+2 1.24e+2 │ 1.25e+2 1.26e+2 1.27e+2 1.28e+2 1.29e+2 │ 1.30e+2 1.31e+2 1.32e+2 1.33e+2 1.34e+2 │ 1.35e+2 1.36e+2 1.37e+2 1.38e+2 1.39e+2 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││1 @ 2 │ 1.40e+2 1.41e+2 1.42e+2 1.43e+2 1.44e+2 │ 1.45e+2 1.46e+2 1.47e+2 1.48e+2 1.49e+2 │ 1.50e+2 1.51e+2 1.52e+2 1.53e+2 1.54e+2 │ 1.55e+2 1.56e+2 1.57e+2 1.58e+2 1.59e+2 ││
- ││axis 3│ 1.60e+2 1.61e+2 1.62e+2 1.63e+2 1.64e+2 │ 1.65e+2 1.66e+2 1.67e+2 1.68e+2 1.69e+2 │ 1.70e+2 1.71e+2 1.72e+2 1.73e+2 1.74e+2 │ 1.75e+2 1.76e+2 1.77e+2 1.78e+2 1.79e+2 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 2.40e+2 2.41e+2 2.42e+2 2.43e+2 2.44e+2 │ 2.45e+2 2.46e+2 2.47e+2 2.48e+2 2.49e+2 │ 2.50e+2 2.51e+2 2.52e+2 2.53e+2 2.54e+2 │ 2.55e+2 2.56e+2 2.57e+2 2.58e+2 2.59e+2 ││
- ││ │ 2.60e+2 2.61e+2 2.62e+2 2.63e+2 2.64e+2 │ 2.65e+2 2.66e+2 2.67e+2 2.68e+2 2.69e+2 │ 2.70e+2 2.71e+2 2.72e+2 2.73e+2 2.74e+2 │ 2.75e+2 2.76e+2 2.77e+2 2.78e+2 2.79e+2 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││~~~~~ │ ... │ ... │ ... │ ... ││
- ││axis 3│ │ │ │ ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││4 @ 2 │ 5.60e+2 5.61e+2 5.62e+2 5.63e+2 5.64e+2 │ 5.65e+2 5.66e+2 5.67e+2 5.68e+2 5.69e+2 │ 5.70e+2 5.71e+2 5.72e+2 5.73e+2 5.74e+2 │ 5.75e+2 5.76e+2 5.77e+2 5.78e+2 5.79e+2 ││
- ││axis 3│ 5.80e+2 5.81e+2 5.82e+2 5.83e+2 5.84e+2 │ 5.85e+2 5.86e+2 5.87e+2 5.88e+2 5.89e+2 │ 5.90e+2 5.91e+2 5.92e+2 5.93e+2 5.94e+2 │ 5.95e+2 5.96e+2 5.97e+2 5.98e+2 5.99e+2 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 6.60e+2 6.61e+2 6.62e+2 6.63e+2 6.64e+2 │ 6.65e+2 6.66e+2 6.67e+2 6.68e+2 6.69e+2 │ 6.70e+2 6.71e+2 6.72e+2 6.73e+2 6.74e+2 │ 6.75e+2 6.76e+2 6.77e+2 6.78e+2 6.79e+2 ││
- ││ │ 6.80e+2 6.81e+2 6.82e+2 6.83e+2 6.84e+2 │ 6.85e+2 6.86e+2 6.87e+2 6.88e+2 6.89e+2 │ 6.90e+2 6.91e+2 6.92e+2 6.93e+2 6.94e+2 │ 6.95e+2 6.96e+2 6.97e+2 6.98e+2 6.99e+2 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││5 @ 2 │ 7.00e+2 7.01e+2 7.02e+2 7.03e+2 7.04e+2 │ 7.05e+2 7.06e+2 7.07e+2 7.08e+2 7.09e+2 │ 7.10e+2 7.11e+2 7.12e+2 7.13e+2 7.14e+2 │ 7.15e+2 7.16e+2 7.17e+2 7.18e+2 7.19e+2 ││
- ││axis 3│ 7.20e+2 7.21e+2 7.22e+2 7.23e+2 7.24e+2 │ 7.25e+2 7.26e+2 7.27e+2 7.28e+2 7.29e+2 │ 7.30e+2 7.31e+2 7.32e+2 7.33e+2 7.34e+2 │ 7.35e+2 7.36e+2 7.37e+2 7.38e+2 7.39e+2 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 8.00e+2 8.01e+2 8.02e+2 8.03e+2 8.04e+2 │ 8.05e+2 8.06e+2 8.07e+2 8.08e+2 8.09e+2 │ 8.10e+2 8.11e+2 8.12e+2 8.13e+2 8.14e+2 │ 8.15e+2 8.16e+2 8.17e+2 8.18e+2 8.19e+2 ││
- ││ │ 8.20e+2 8.21e+2 8.22e+2 8.23e+2 8.24e+2 │ 8.25e+2 8.26e+2 8.27e+2 8.28e+2 8.29e+2 │ 8.30e+2 8.31e+2 8.32e+2 8.33e+2 8.34e+2 │ 8.35e+2 8.36e+2 8.37e+2 8.38e+2 8.39e+2 ││
- │└──────┴─────────────────────────────────────────────┴─────────────────────────────────────────────┴─────────────────────────────────────────────┴─────────────────────────────────────────────┘│
- ├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
- │┌──────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┐│
- ││1 @ 1 │0 @ 4 │1 @ 4 │2 @ 4 │3 @ 4 ││
- ││ │axis 5 │axis 5 │axis 5 │axis 5 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││0 @ 2 │ 8.40e+2 8.41e+2 8.42e+2 8.43e+2 8.44e+2 │ 8.45e+2 8.46e+2 8.47e+2 8.48e+2 8.49e+2 │ 8.50e+2 8.51e+2 8.52e+2 8.53e+2 8.54e+2 │ 8.55e+2 8.56e+2 8.57e+2 8.58e+2 8.59e+2 ││
- ││axis 3│ 8.60e+2 8.61e+2 8.62e+2 8.63e+2 8.64e+2 │ 8.65e+2 8.66e+2 8.67e+2 8.68e+2 8.69e+2 │ 8.70e+2 8.71e+2 8.72e+2 8.73e+2 8.74e+2 │ 8.75e+2 8.76e+2 8.77e+2 8.78e+2 8.79e+2 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 9.40e+2 9.41e+2 9.42e+2 9.43e+2 9.44e+2 │ 9.45e+2 9.46e+2 9.47e+2 9.48e+2 9.49e+2 │ 9.50e+2 9.51e+2 9.52e+2 9.53e+2 9.54e+2 │ 9.55e+2 9.56e+2 9.57e+2 9.58e+2 9.59e+2 ││
- ││ │ 9.60e+2 9.61e+2 9.62e+2 9.63e+2 9.64e+2 │ 9.65e+2 9.66e+2 9.67e+2 9.68e+2 9.69e+2 │ 9.70e+2 9.71e+2 9.72e+2 9.73e+2 9.74e+2 │ 9.75e+2 9.76e+2 9.77e+2 9.78e+2 9.79e+2 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││1 @ 2 │ 9.80e+2 9.81e+2 9.82e+2 9.83e+2 9.84e+2 │ 9.85e+2 9.86e+2 9.87e+2 9.88e+2 9.89e+2 │ 9.90e+2 9.91e+2 9.92e+2 9.93e+2 9.94e+2 │ 9.95e+2 9.96e+2 9.97e+2 9.98e+2 9.99e+2 ││
- ││axis 3│ 1.00e+3 1.00e+3 1.00e+3 1.00e+3 1.00e+3 │ 1.00e+3 1.00e+3 1.00e+3 1.00e+3 1.00e+3 │ 1.01e+3 1.01e+3 1.01e+3 1.01e+3 1.01e+3 │ 1.01e+3 1.01e+3 1.01e+3 1.01e+3 1.01e+3 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 1.08e+3 1.08e+3 1.08e+3 1.08e+3 1.08e+3 │ 1.08e+3 1.08e+3 1.08e+3 1.08e+3 1.08e+3 │ 1.09e+3 1.09e+3 1.09e+3 1.09e+3 1.09e+3 │ 1.09e+3 1.09e+3 1.09e+3 1.09e+3 1.09e+3 ││
- ││ │ 1.10e+3 1.10e+3 1.10e+3 1.10e+3 1.10e+3 │ 1.10e+3 1.10e+3 1.10e+3 1.10e+3 1.10e+3 │ 1.11e+3 1.11e+3 1.11e+3 1.11e+3 1.11e+3 │ 1.11e+3 1.11e+3 1.11e+3 1.11e+3 1.11e+3 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││~~~~~ │ ... │ ... │ ... │ ... ││
- ││axis 3│ │ │ │ ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││4 @ 2 │ 1.40e+3 1.40e+3 1.40e+3 1.40e+3 1.40e+3 │ 1.40e+3 1.40e+3 1.40e+3 1.40e+3 1.40e+3 │ 1.41e+3 1.41e+3 1.41e+3 1.41e+3 1.41e+3 │ 1.41e+3 1.41e+3 1.41e+3 1.41e+3 1.41e+3 ││
- ││axis 3│ 1.42e+3 1.42e+3 1.42e+3 1.42e+3 1.42e+3 │ 1.42e+3 1.42e+3 1.42e+3 1.42e+3 1.42e+3 │ 1.43e+3 1.43e+3 1.43e+3 1.43e+3 1.43e+3 │ 1.43e+3 1.43e+3 1.43e+3 1.43e+3 1.43e+3 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 1.50e+3 1.50e+3 1.50e+3 1.50e+3 1.50e+3 │ 1.50e+3 1.50e+3 1.50e+3 1.50e+3 1.50e+3 │ 1.51e+3 1.51e+3 1.51e+3 1.51e+3 1.51e+3 │ 1.51e+3 1.51e+3 1.51e+3 1.51e+3 1.51e+3 ││
- ││ │ 1.52e+3 1.52e+3 1.52e+3 1.52e+3 1.52e+3 │ 1.52e+3 1.52e+3 1.52e+3 1.52e+3 1.52e+3 │ 1.53e+3 1.53e+3 1.53e+3 1.53e+3 1.53e+3 │ 1.53e+3 1.53e+3 1.53e+3 1.53e+3 1.53e+3 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││5 @ 2 │ 1.54e+3 1.54e+3 1.54e+3 1.54e+3 1.54e+3 │ 1.54e+3 1.54e+3 1.54e+3 1.54e+3 1.54e+3 │ 1.55e+3 1.55e+3 1.55e+3 1.55e+3 1.55e+3 │ 1.55e+3 1.55e+3 1.55e+3 1.55e+3 1.55e+3 ││
- ││axis 3│ 1.56e+3 1.56e+3 1.56e+3 1.56e+3 1.56e+3 │ 1.56e+3 1.56e+3 1.56e+3 1.56e+3 1.56e+3 │ 1.57e+3 1.57e+3 1.57e+3 1.57e+3 1.57e+3 │ 1.57e+3 1.57e+3 1.57e+3 1.57e+3 1.57e+3 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 1.64e+3 1.64e+3 1.64e+3 1.64e+3 1.64e+3 │ 1.64e+3 1.64e+3 1.64e+3 1.64e+3 1.64e+3 │ 1.65e+3 1.65e+3 1.65e+3 1.65e+3 1.65e+3 │ 1.65e+3 1.65e+3 1.65e+3 1.65e+3 1.65e+3 ││
- ││ │ 1.66e+3 1.66e+3 1.66e+3 1.66e+3 1.66e+3 │ 1.66e+3 1.66e+3 1.66e+3 1.66e+3 1.66e+3 │ 1.67e+3 1.67e+3 1.67e+3 1.67e+3 1.67e+3 │ 1.67e+3 1.67e+3 1.67e+3 1.67e+3 1.67e+3 ││
- │└──────┴─────────────────────────────────────────────┴─────────────────────────────────────────────┴─────────────────────────────────────────────┴─────────────────────────────────────────────┘│
- ├────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤
- │┌──────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┐│
- ││2 @ 1 │0 @ 4 │1 @ 4 │2 @ 4 │3 @ 4 ││
- ││ │axis 5 │axis 5 │axis 5 │axis 5 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││0 @ 2 │ 1.68e+3 1.68e+3 1.68e+3 1.68e+3 1.68e+3 │ 1.68e+3 1.68e+3 1.68e+3 1.68e+3 1.68e+3 │ 1.69e+3 1.69e+3 1.69e+3 1.69e+3 1.69e+3 │ 1.69e+3 1.69e+3 1.69e+3 1.69e+3 1.69e+3 ││
- ││axis 3│ 1.70e+3 1.70e+3 1.70e+3 1.70e+3 1.70e+3 │ 1.70e+3 1.70e+3 1.70e+3 1.70e+3 1.70e+3 │ 1.71e+3 1.71e+3 1.71e+3 1.71e+3 1.71e+3 │ 1.71e+3 1.71e+3 1.71e+3 1.71e+3 1.71e+3 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 1.78e+3 1.78e+3 1.78e+3 1.78e+3 1.78e+3 │ 1.78e+3 1.78e+3 1.78e+3 1.78e+3 1.78e+3 │ 1.79e+3 1.79e+3 1.79e+3 1.79e+3 1.79e+3 │ 1.79e+3 1.79e+3 1.79e+3 1.79e+3 1.79e+3 ││
- ││ │ 1.80e+3 1.80e+3 1.80e+3 1.80e+3 1.80e+3 │ 1.80e+3 1.80e+3 1.80e+3 1.80e+3 1.80e+3 │ 1.81e+3 1.81e+3 1.81e+3 1.81e+3 1.81e+3 │ 1.81e+3 1.81e+3 1.81e+3 1.81e+3 1.81e+3 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││1 @ 2 │ 1.82e+3 1.82e+3 1.82e+3 1.82e+3 1.82e+3 │ 1.82e+3 1.82e+3 1.82e+3 1.82e+3 1.82e+3 │ 1.83e+3 1.83e+3 1.83e+3 1.83e+3 1.83e+3 │ 1.83e+3 1.83e+3 1.83e+3 1.83e+3 1.83e+3 ││
- ││axis 3│ 1.84e+3 1.84e+3 1.84e+3 1.84e+3 1.84e+3 │ 1.84e+3 1.84e+3 1.84e+3 1.84e+3 1.84e+3 │ 1.85e+3 1.85e+3 1.85e+3 1.85e+3 1.85e+3 │ 1.85e+3 1.85e+3 1.85e+3 1.85e+3 1.85e+3 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 1.92e+3 1.92e+3 1.92e+3 1.92e+3 1.92e+3 │ 1.92e+3 1.92e+3 1.92e+3 1.92e+3 1.92e+3 │ 1.93e+3 1.93e+3 1.93e+3 1.93e+3 1.93e+3 │ 1.93e+3 1.93e+3 1.93e+3 1.93e+3 1.93e+3 ││
- ││ │ 1.94e+3 1.94e+3 1.94e+3 1.94e+3 1.94e+3 │ 1.94e+3 1.94e+3 1.94e+3 1.94e+3 1.94e+3 │ 1.95e+3 1.95e+3 1.95e+3 1.95e+3 1.95e+3 │ 1.95e+3 1.95e+3 1.95e+3 1.95e+3 1.95e+3 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││~~~~~ │ ... │ ... │ ... │ ... ││
- ││axis 3│ │ │ │ ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││4 @ 2 │ 2.24e+3 2.24e+3 2.24e+3 2.24e+3 2.24e+3 │ 2.24e+3 2.24e+3 2.24e+3 2.24e+3 2.24e+3 │ 2.25e+3 2.25e+3 2.25e+3 2.25e+3 2.25e+3 │ 2.25e+3 2.25e+3 2.25e+3 2.25e+3 2.25e+3 ││
- ││axis 3│ 2.26e+3 2.26e+3 2.26e+3 2.26e+3 2.26e+3 │ 2.26e+3 2.26e+3 2.26e+3 2.26e+3 2.26e+3 │ 2.27e+3 2.27e+3 2.27e+3 2.27e+3 2.27e+3 │ 2.27e+3 2.27e+3 2.27e+3 2.27e+3 2.27e+3 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 2.34e+3 2.34e+3 2.34e+3 2.34e+3 2.34e+3 │ 2.34e+3 2.34e+3 2.34e+3 2.34e+3 2.34e+3 │ 2.35e+3 2.35e+3 2.35e+3 2.35e+3 2.35e+3 │ 2.35e+3 2.35e+3 2.35e+3 2.35e+3 2.35e+3 ││
- ││ │ 2.36e+3 2.36e+3 2.36e+3 2.36e+3 2.36e+3 │ 2.36e+3 2.36e+3 2.36e+3 2.36e+3 2.36e+3 │ 2.37e+3 2.37e+3 2.37e+3 2.37e+3 2.37e+3 │ 2.37e+3 2.37e+3 2.37e+3 2.37e+3 2.37e+3 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
- ││5 @ 2 │ 2.38e+3 2.38e+3 2.38e+3 2.38e+3 2.38e+3 │ 2.38e+3 2.38e+3 2.38e+3 2.38e+3 2.38e+3 │ 2.39e+3 2.39e+3 2.39e+3 2.39e+3 2.39e+3 │ 2.39e+3 2.39e+3 2.39e+3 2.39e+3 2.39e+3 ││
- ││axis 3│ 2.40e+3 2.40e+3 2.40e+3 2.40e+3 2.40e+3 │ 2.40e+3 2.40e+3 2.40e+3 2.40e+3 2.40e+3 │ 2.41e+3 2.41e+3 2.41e+3 2.41e+3 2.41e+3 │ 2.41e+3 2.41e+3 2.41e+3 2.41e+3 2.41e+3 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 2.48e+3 2.48e+3 2.48e+3 2.48e+3 2.48e+3 │ 2.48e+3 2.48e+3 2.48e+3 2.48e+3 2.48e+3 │ 2.49e+3 2.49e+3 2.49e+3 2.49e+3 2.49e+3 │ 2.49e+3 2.49e+3 2.49e+3 2.49e+3 2.49e+3 ││
- ││ │ 2.50e+3 2.50e+3 2.50e+3 2.50e+3 2.50e+3 │ 2.50e+3 2.50e+3 2.50e+3 2.50e+3 2.50e+3 │ 2.51e+3 2.51e+3 2.51e+3 2.51e+3 2.51e+3 │ 2.51e+3 2.51e+3 2.51e+3 2.51e+3 2.51e+3 ││
- │└──────┴─────────────────────────────────────────────┴─────────────────────────────────────────────┴─────────────────────────────────────────────┴─────────────────────────────────────────────┘│
- └────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}];
+ {| [2]: r2x3x6x7x4x5 shape 0:2,1:3|4:4,5:5->2:6,3:7 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ ho2;
[%expect
{|
@@ -292,20 +180,7 @@ let%expect_test "einsum1 sum out axes" =
Train.forward_and_forget backend ctx ho;
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey;
[%expect
- {|
- ┌─────────────────────────────────────────────────────────────┐
- │[0]: r2x4x3 shape 0:2|2:3->1:4 │
- │┌──────┬────────────────────────┬───────────────────────────┐│
- ││ │0 @ 0 │1 @ 0 ││
- ││ │axis 2 │axis 2 ││
- │├──────┼────────────────────────┼───────────────────────────┤│
- ││axis 1│ 0.00 1.00 2.00 │ 1.20e+1 1.30e+1 1.40e+1 ││
- ││ │ 3.00 4.00 5.00 │ 1.50e+1 1.60e+1 1.70e+1 ││
- ││ │ 6.00 7.00 8.00 │ 1.80e+1 1.90e+1 2.00e+1 ││
- ││ │ 9.00 1.00e+1 1.10e+1 │ 2.10e+1 2.20e+1 2.30e+1 ││
- │└──────┴────────────────────────┴───────────────────────────┘│
- └─────────────────────────────────────────────────────────────┘
- |}];
+ {| [0]: r2x4x3 shape 0:2|2:3->1:4 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ ho;
[%expect
{|
@@ -364,28 +239,10 @@ let%expect_test "einsum outer product" =
Train.forward_and_forget backend ctx c;
Tensor.print ~with_code:false ~with_grad:false `Default @@ a;
[%expect
- {|
- ┌──────────────────┐
- │[0]: r2 shape 0:2 │
- │┌┬────────────┐ │
- │││axis 0 │ │
- │├┼────────────┤ │
- │││ 0.00 1.00 │ │
- │└┴────────────┘ │
- └──────────────────┘
- |}];
+ {| [0]: r2 shape 0:2 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ b;
[%expect
- {|
- ┌─────────────────────┐
- │[1]: r3 shape 0:3 │
- │┌┬──────────────────┐│
- │││axis 0 ││
- │├┼──────────────────┤│
- │││ 0.00 1.00 2.00 ││
- │└┴──────────────────┘│
- └─────────────────────┘
- |}];
+ {| [1]: r3 shape 0:3 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ c;
[%expect
{|
@@ -406,37 +263,10 @@ let%expect_test "einsum outer product" =
Train.forward_and_forget backend ctx c;
Tensor.print ~with_code:false ~with_grad:false `Default @@ a;
[%expect
- {|
- ┌─────────────────────────────────────────────────────────────┐
- │[5]: r2x4x3 shape 0:2|2:3->1:4 │
- │┌──────┬────────────────────────┬───────────────────────────┐│
- ││ │0 @ 0 │1 @ 0 ││
- ││ │axis 2 │axis 2 ││
- │├──────┼────────────────────────┼───────────────────────────┤│
- ││axis 1│ 0.00 1.00 2.00 │ 1.20e+1 1.30e+1 1.40e+1 ││
- ││ │ 3.00 4.00 5.00 │ 1.50e+1 1.60e+1 1.70e+1 ││
- ││ │ 6.00 7.00 8.00 │ 1.80e+1 1.90e+1 2.00e+1 ││
- ││ │ 9.00 1.00e+1 1.10e+1 │ 2.10e+1 2.20e+1 2.30e+1 ││
- │└──────┴────────────────────────┴───────────────────────────┘│
- └─────────────────────────────────────────────────────────────┘
- |}];
+ {| [5]: r2x4x3 shape 0:2|2:3->1:4 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ b;
[%expect
- {|
- ┌──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │[6]: r5x7x6 shape 0:5|2:6->1:7 │
- │┌──────┬─────────────────────────────────────────┬─────────────────────────────────────────┬─────────────────────────────────────────┬─────────────────────────────────────────┬─────────────────────────────────────────┐│
- ││ │0 @ 0 │1 @ 0 │2 @ 0 │3 @ 0 │4 @ 0 ││
- ││ │axis 2 │axis 2 │axis 2 │axis 2 │axis 2 ││
- │├──────┼─────────────────────────────────────────┼─────────────────────────────────────────┼─────────────────────────────────────────┼─────────────────────────────────────────┼─────────────────────────────────────────┤│
- ││axis 1│ 0.00 1.00 ... 4.00 5.00 │ 4.20e+1 4.30e+1 ... 4.60e+1 4.70e+1 │ 8.40e+1 8.50e+1 ... 8.80e+1 8.90e+1 │ 1.26e+2 1.27e+2 ... 1.30e+2 1.31e+2 │ 1.68e+2 1.69e+2 ... 1.72e+2 1.73e+2 ││
- ││ │ 6.00 7.00 ... 1.00e+1 1.10e+1 │ 4.80e+1 4.90e+1 ... 5.20e+1 5.30e+1 │ 9.00e+1 9.10e+1 ... 9.40e+1 9.50e+1 │ 1.32e+2 1.33e+2 ... 1.36e+2 1.37e+2 │ 1.74e+2 1.75e+2 ... 1.78e+2 1.79e+2 ││
- ││ │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... │ ... ... ... ... ... ││
- ││ │ 3.00e+1 3.10e+1 ... 3.40e+1 3.50e+1 │ 7.20e+1 7.30e+1 ... 7.60e+1 7.70e+1 │ 1.14e+2 1.15e+2 ... 1.18e+2 1.19e+2 │ 1.56e+2 1.57e+2 ... 1.60e+2 1.61e+2 │ 1.98e+2 1.99e+2 ... 2.02e+2 2.03e+2 ││
- ││ │ 3.60e+1 3.70e+1 ... 4.00e+1 4.10e+1 │ 7.80e+1 7.90e+1 ... 8.20e+1 8.30e+1 │ 1.20e+2 1.21e+2 ... 1.24e+2 1.25e+2 │ 1.62e+2 1.63e+2 ... 1.66e+2 1.67e+2 │ 2.04e+2 2.05e+2 ... 2.08e+2 2.09e+2 ││
- │└──────┴─────────────────────────────────────────┴─────────────────────────────────────────┴─────────────────────────────────────────┴─────────────────────────────────────────┴─────────────────────────────────────────┘│
- └──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}];
+ {| [6]: r5x7x6 shape 0:5|2:6->1:7 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ c;
[%expect
{|
@@ -723,20 +553,7 @@ let%expect_test "einsum1 broadcast or sum out prefix axes" =
let ctx = Train.forward_and_ctx backend ctx ho in
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey;
[%expect
- {|
- ┌─────────────────────────────────────────────────────────────┐
- │[0]: r2x4x3 shape 0:2|2:3->1:4 │
- │┌──────┬────────────────────────┬───────────────────────────┐│
- ││ │0 @ 0 │1 @ 0 ││
- ││ │axis 2 │axis 2 ││
- │├──────┼────────────────────────┼───────────────────────────┤│
- ││axis 1│ 0.00 1.00 2.00 │ 1.20e+1 1.30e+1 1.40e+1 ││
- ││ │ 3.00 4.00 5.00 │ 1.50e+1 1.60e+1 1.70e+1 ││
- ││ │ 6.00 7.00 8.00 │ 1.80e+1 1.90e+1 2.00e+1 ││
- ││ │ 9.00 1.00e+1 1.10e+1 │ 2.10e+1 2.20e+1 2.30e+1 ││
- │└──────┴────────────────────────┴───────────────────────────┘│
- └─────────────────────────────────────────────────────────────┘
- |}];
+ {| [0]: r2x4x3 shape 0:2|2:3->1:4 <virtual> |}];
Tensorprint ~with_code:false ~with_grad:false `Default @@ ho;
[%expect
{|
@@ -776,106 +593,7 @@ let%expect_test "einsum1 broadcast or sum out prefix axes" =
let ctx = Train.forward_and_ctx backend ctx ho3 in
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey2;
[%expect
- {|
- ┌────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │[3]: r2x3x6x7x4x5 shape 0:2,1:3|4:4,5:5->2:6,3:7 │
- │┌──────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┬─────────────────────────────────────────────┐│
- ││0 @ 1 │0 @ 4 │1 @ 4 │2 @ 4 │3 @ 4 ││
- ││ │axis 5 │axis 5 │axis 5 │axis 5 ││
- │├──────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┼─────────────────────────────────────────────┤│
...TRUNCATED BY DUNE...
- ┌─────────────────────────┐
- │[3]: r3x2 shape 1:2->0:3 │
- │┌──────┬────────────┐ │
- ││ │axis 1 │ │
- │├──────┼────────────┤ │
- ││axis 0│ 0.00 1.00 │ │
- ││ │ 2.00 3.00 │ │
- ││ │ 4.00 5.00 │ │
- │└──────┴────────────┘ │
- └─────────────────────────┘
- |}];
+ {| [3]: r3x2 shape 1:2->0:3 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ e;
[%expect
- {|
- ┌───────────────────────────────────────┐
- │[4]: r3x4 shape 1:4->0:3 │
- │┌──────┬──────────────────────────────┐│
- ││ │axis 1 ││
- │├──────┼──────────────────────────────┤│
- ││axis 0│ 0.00 1.00 2.00 3.00 ││
- ││ │ 4.00 5.00 6.00 7.00 ││
- ││ │ 8.00 9.00 1.00e+1 1.10e+1 ││
- │└──────┴──────────────────────────────┘│
- └───────────────────────────────────────┘
- |}];
+ {| [4]: r3x4 shape 1:4->0:3 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ f;
[%expect
{|
@@ -1253,20 +888,7 @@ let%expect_test "einsum1 fixed dim axis" =
let ctx = Train.forward_and_ctx backend ctx ho in
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey;
[%expect
- {|
- ┌─────────────────────────────────────────────────────────────┐
- │[0]: r2x4x3 shape 0:2|2:3->1:4 │
- │┌──────┬────────────────────────┬───────────────────────────┐│
- ││ │0 @ 0 │1 @ 0 ││
- ││ │axis 2 │axis 2 ││
- │├──────┼────────────────────────┼───────────────────────────┤│
- ││axis 1│ 0.00 1.00 2.00 │ 1.20e+1 1.30e+1 1.40e+1 ││
- ││ │ 3.00 4.00 5.00 │ 1.50e+1 1.60e+1 1.70e+1 ││
- ││ │ 6.00 7.00 8.00 │ 1.80e+1 1.90e+1 2.00e+1 ││
- ││ │ 9.00 1.00e+1 1.10e+1 │ 2.10e+1 2.20e+1 2.30e+1 ││
- │└──────┴────────────────────────┴───────────────────────────┘│
- └─────────────────────────────────────────────────────────────┘
- |}];
+ {| [0]: r2x4x3 shape 0:2|2:3->1:4 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ ho;
[%expect
{|
@@ -1284,20 +906,7 @@ let%expect_test "einsum1 fixed dim axis" =
let ctx = Train.forward_and_ctx backend ctx ho2 in
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey;
[%expect
- {|
- ┌─────────────────────────────────────────────────────────────┐
- │[0]: r2x4x3 shape 0:2|2:3->1:4 │
- │┌──────┬────────────────────────┬───────────────────────────┐│
- ││ │0 @ 0 │1 @ 0 ││
- ││ │axis 2 │axis 2 ││
- │├──────┼────────────────────────┼───────────────────────────┤│
- ││axis 1│ 0.00 1.00 2.00 │ 1.20e+1 1.30e+1 1.40e+1 ││
- ││ │ 3.00 4.00 5.00 │ 1.50e+1 1.60e+1 1.70e+1 ││
- ││ │ 6.00 7.00 8.00 │ 1.80e+1 1.90e+1 2.00e+1 ││
- ││ │ 9.00 1.00e+1 1.10e+1 │ 2.10e+1 2.20e+1 2.30e+1 ││
- │└──────┴────────────────────────┴───────────────────────────┘│
- └─────────────────────────────────────────────────────────────┘
- |}];
+ {| [0]: r2x4x3 shape 0:2|2:3->1:4 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ ho2;
[%expect
{|
@@ -1316,18 +925,7 @@ let%expect_test "einsum1 fixed dim axis" =
let ctx = Train.forward_and_ctx backend ctx ho3 in
Tensor.print ~with_code:false ~with_grad:false `Default @@ hey2;
[%expect
- {|
- ┌─────────────────────────┐
- │[3]: r3x2 shape 1:2->0:3 │
- │┌──────┬────────────┐ │
- ││ │axis 1 │ │
- │├──────┼────────────┤ │
- ││axis 0│ 0.00 1.00 │ │
- ││ │ 2.00 3.00 │ │
- ││ │ 4.00 5.00 │ │
- │└──────┴────────────┘ │
- └─────────────────────────┘
- |}];
+ {| [3]: r3x2 shape 1:2->0:3 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ ho3;
[%expect
{|
@@ -1379,34 +977,10 @@ let%expect_test "einsum with fixed dim axes" =
Train.forward_and_forget backend ctx c;
Tensor.print ~with_code:false ~with_grad:false `Default @@ a;
[%expect
- {|
- ┌───────────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │[0]: r3x2x4 shape 0:3|2:4->1:2 │
- │┌──────┬────────────────────────┬────────────────────────────────────┬────────────────────────────────────┐│
- ││ │0 @ 0 │1 @ 0 │2 @ 0 ││
- ││ │axis 2 │axis 2 │axis 2 ││
- │├──────┼────────────────────────┼────────────────────────────────────┼────────────────────────────────────┤│
- ││axis 1│ 0.00 1.00 2.00 3.00 │ 8.00 9.00 1.00e+1 1.10e+1 │ 1.60e+1 1.70e+1 1.80e+1 1.90e+1 ││
- ││ │ 4.00 5.00 6.00 7.00 │ 1.20e+1 1.30e+1 1.40e+1 1.50e+1 │ 2.00e+1 2.10e+1 2.20e+1 2.30e+1 ││
- │└──────┴────────────────────────┴────────────────────────────────────┴────────────────────────────────────┘│
- └───────────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}];
+ {| [0]: r3x2x4 shape 0:3|2:4->1:2 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ b;
[%expect
- {|
- ┌────────────────────────────────┐
- │[1]: r3x4x1 shape 0:3|2:1->1:4 │
- │┌──────┬──────┬──────┬─────────┐│
- ││ │0 @ 0 │1 @ 0 │2 @ 0 ││
- ││ │axis 2│axis 2│axis 2 ││
- │├──────┼──────┼──────┼─────────┤│
- ││axis 1│ 0.00 │ 4.00 │ 8.00 ││
- ││ │ 1.00 │ 5.00 │ 9.00 ││
- ││ │ 2.00 │ 6.00 │ 1.00e+1 ││
- ││ │ 3.00 │ 7.00 │ 1.10e+1 ││
- │└──────┴──────┴──────┴─────────┘│
- └────────────────────────────────┘
- |}];
+ {| [1]: r3x4x1 shape 0:3|2:1->1:4 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ c;
[%expect
{|
@@ -1450,175 +1024,175 @@ let%expect_test "outer_sum simulating axis concatenation" =
Tensor.print ~with_code:false ~with_grad:false `Default @@ positions;
[%expect
{|
- ┌────────────────────────────────┐
- │[9]: ;=>+ shape 0:4,1:5,2:6,3:3 │
- │┌──────┬──────────────────┐ │
- ││0 @ 0 │axis 3 │ │
- │├──────┼──────────────────┤ │
- ││0 @ 1 │ 0.00 0.00 0.00 │ │
- ││axis 2│ 0.00 0.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 0.00 0.00 4.00 │ │
- ││ │ 0.00 0.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││1 @ 1 │ 0.00 1.00 0.00 │ │
- ││axis 2│ 0.00 1.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 0.00 1.00 4.00 │ │
- ││ │ 0.00 1.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││2 @ 1 │ 0.00 2.00 0.00 │ │
- ││axis 2│ 0.00 2.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 0.00 2.00 4.00 │ │
- ││ │ 0.00 2.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││3 @ 1 │ 0.00 3.00 0.00 │ │
- ││axis 2│ 0.00 3.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 0.00 3.00 4.00 │ │
- ││ │ 0.00 3.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││4 @ 1 │ 0.00 4.00 0.00 │ │
- ││axis 2│ 0.00 4.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 0.00 4.00 4.00 │ │
- ││ │ 0.00 4.00 5.00 │ │
- │└──────┴──────────────────┘ │
- ├────────────────────────────────┤
- │┌──────┬──────────────────┐ │
- ││1 @ 0 │axis 3 │ │
- │├──────┼──────────────────┤ │
- ││0 @ 1 │ 1.00 0.00 0.00 │ │
- ││axis 2│ 1.00 0.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 1.00 0.00 4.00 │ │
- ││ │ 1.00 0.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││1 @ 1 │ 1.00 1.00 0.00 │ │
- ││axis 2│ 1.00 1.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 1.00 1.00 4.00 │ │
- ││ │ 1.00 1.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││2 @ 1 │ 1.00 2.00 0.00 │ │
- ││axis 2│ 1.00 2.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 1.00 2.00 4.00 │ │
- ││ │ 1.00 2.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││3 @ 1 │ 1.00 3.00 0.00 │ │
- ││axis 2│ 1.00 3.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 1.00 3.00 4.00 │ │
- ││ │ 1.00 3.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││4 @ 1 │ 1.00 4.00 0.00 │ │
- ││axis 2│ 1.00 4.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 1.00 4.00 4.00 │ │
- ││ │ 1.00 4.00 5.00 │ │
- │└──────┴──────────────────┘ │
- ├────────────────────────────────┤
- │┌──────┬──────────────────┐ │
- ││2 @ 0 │axis 3 │ │
- │├──────┼──────────────────┤ │
- ││0 @ 1 │ 2.00 0.00 0.00 │ │
- ││axis 2│ 2.00 0.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 2.00 0.00 4.00 │ │
- ││ │ 2.00 0.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││1 @ 1 │ 2.00 1.00 0.00 │ │
- ││axis 2│ 2.00 1.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 2.00 1.00 4.00 │ │
- ││ │ 2.00 1.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││2 @ 1 │ 2.00 2.00 0.00 │ │
- ││axis 2│ 2.00 2.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 2.00 2.00 4.00 │ │
- ││ │ 2.00 2.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││3 @ 1 │ 2.00 3.00 0.00 │ │
- ││axis 2│ 2.00 3.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 2.00 3.00 4.00 │ │
- ││ │ 2.00 3.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││4 @ 1 │ 2.00 4.00 0.00 │ │
- ││axis 2│ 2.00 4.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 2.00 4.00 4.00 │ │
- ││ │ 2.00 4.00 5.00 │ │
- │└──────┴──────────────────┘ │
- ├────────────────────────────────┤
- │┌──────┬──────────────────┐ │
- ││3 @ 0 │axis 3 │ │
- │├──────┼──────────────────┤ │
- ││0 @ 1 │ 3.00 0.00 0.00 │ │
- ││axis 2│ 3.00 0.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 3.00 0.00 4.00 │ │
- ││ │ 3.00 0.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││1 @ 1 │ 3.00 1.00 0.00 │ │
- ││axis 2│ 3.00 1.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 3.00 1.00 4.00 │ │
- ││ │ 3.00 1.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││2 @ 1 │ 3.00 2.00 0.00 │ │
- ││axis 2│ 3.00 2.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 3.00 2.00 4.00 │ │
- ││ │ 3.00 2.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││3 @ 1 │ 3.00 3.00 0.00 │ │
- ││axis 2│ 3.00 3.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 3.00 3.00 4.00 │ │
- ││ │ 3.00 3.00 5.00 │ │
- │├──────┼──────────────────┤ │
- ││4 @ 1 │ 3.00 4.00 0.00 │ │
- ││axis 2│ 3.00 4.00 1.00 │ │
- ││ │ ... ... ... │ │
- ││ │ 3.00 4.00 4.00 │ │
- ││ │ 3.00 4.00 5.00 │ │
- │└──────┴──────────────────┘ │
- └────────────────────────────────┘
+ ┌────────────────────────────────────────┐
+ │[9]: ;=>+ shape 0:4,1:5,2:6,3:3 │
+ │┌──────┬──────────────────────────────┐ │
+ ││0 @ 0 │axis 3 │ │
+ │├──────┼──────────────────────────────┤ │
+ ││0 @ 1 │ -1.19e+4 7.65e-41 3.65e+25 │ │
+ ││axis 2│ -6.69e+3 2.91e+3 3.65e+25 │ │
+ ││ │ ... ... ... │ │
+ ││ │ -2.01e+3 5.12e+3 3.65e+25 │ │
+ ││ │ -6.69e+3 4.57e-41 3.65e+25 │ │
+ │├──────┼──────────────────────────────┤ │
+ ││1 @ 1 │ -5.27e+3 1.00 3.65e+25 │ │
+ ││axis 2│ 0.00 2.91e+3 3.65e+25 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 4.68e+3 5.12e+3 3.65e+25 │ │
+ ││ │ 0.00 1.00 3.65e+25 │ │
+ │├──────┼──────────────────────────────┤ │
+ ││2 @ 1 │ -3.12e+3 2.00 3.65e+25 │ │
+ ││axis 2│ 2.14e+3 2.91e+3 3.65e+25 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 6.82e+3 5.12e+3 3.65e+25 │ │
+ ││ │ 2.14e+3 2.00 3.65e+25 │ │
+ │├──────┼──────────────────────────────┤ │
+ ││3 @ 1 │ -2.79e+3 3.00 3.65e+25 │ │
+ ││axis 2│ 2.48e+3 2.91e+3 3.65e+25 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 7.16e+3 5.12e+3 3.65e+25 │ │
+ ││ │ 2.48e+3 3.00 3.65e+25 │ │
+ │├──────┼──────────────────────────────┤ │
+ ││4 @ 1 │ -2.45e+3 4.00 3.65e+25 │ │
+ ││axis 2│ 2.82e+3 2.91e+3 3.65e+25 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 7.50e+3 5.12e+3 3.65e+25 │ │
+ ││ │ 2.82e+3 4.00 3.65e+25 │ │
+ │└──────┴──────────────────────────────┘ │
+ ├────────────────────────────────────────┤
+ │┌──────┬─────────────────────────────┐ │
+ ││1 @ 0 │axis 3 │ │
+ │├──────┼─────────────────────────────┤ │
+ ││0 @ 1 │ -1.19e+4 3.35e+7 9.10e-39 │ │
+ ││axis 2│ -6.69e+3 3.35e+7 1.00 │ │
+ ││ │ ... ... ... │ │
+ ││ │ -2.01e+3 3.35e+7 4.00 │ │
+ ││ │ -6.69e+3 3.35e+7 5.00 │ │
+ │├──────┼─────────────────────────────┤ │
+ ││1 @ 1 │ -5.27e+3 3.35e+7 2.06e+3 │ │
+ ││axis 2│ 1.00 3.35e+7 2.06e+3 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 4.68e+3 3.35e+7 2.06e+3 │ │
+ ││ │ 1.00 3.35e+7 2.06e+3 │ │
+ │├──────┼─────────────────────────────┤ │
+ ││2 @ 1 │ -3.12e+3 3.35e+7 2.46e+3 │ │
+ ││axis 2│ 2.14e+3 3.35e+7 2.46e+3 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 6.82e+3 3.35e+7 2.46e+3 │ │
+ ││ │ 2.14e+3 3.35e+7 2.46e+3 │ │
+ │├──────┼─────────────────────────────┤ │
+ ││3 @ 1 │ -2.78e+3 3.35e+7 2.86e+3 │ │
+ ││axis 2│ 2.48e+3 3.35e+7 2.86e+3 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 7.16e+3 3.35e+7 2.86e+3 │ │
+ ││ │ 2.48e+3 3.35e+7 2.86e+3 │ │
+ │├──────┼─────────────────────────────┤ │
+ ││4 @ 1 │ -2.45e+3 3.35e+7 3.26e+3 │ │
+ ││axis 2│ 2.82e+3 3.35e+7 3.26e+3 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 7.50e+3 3.35e+7 3.26e+3 │ │
+ ││ │ 2.82e+3 3.35e+7 3.26e+3 │ │
+ │└──────┴─────────────────────────────┘ │
+ ├────────────────────────────────────────┤
+ │┌──────┬───────────────────────────────┐│
+ ││2 @ 0 │axis 3 ││
+ │├──────┼───────────────────────────────┤│
+ ││0 @ 1 │ -1.19e+4 3.07e-41 -1.04e-20 ││
+ ││axis 2│ -6.69e+3 2.91e+3 1.00 ││
+ ││ │ ... ... ... ││
+ ││ │ -2.01e+3 5.12e+3 4.00 ││
+ ││ │ -6.69e+3 0.00 5.00 ││
+ │├──────┼───────────────────────────────┤│
+ ││1 @ 1 │ -5.27e+3 1.00 2.06e+3 ││
+ ││axis 2│ 2.00 2.91e+3 2.06e+3 ││
+ ││ │ ... ... ... ││
+ ││ │ 4.68e+3 5.12e+3 2.06e+3 ││
+ ││ │ 2.00 1.00 2.06e+3 ││
+ │├──────┼───────────────────────────────┤│
+ ││2 @ 1 │ -3.12e+3 2.00 2.46e+3 ││
+ ││axis 2│ 2.15e+3 2.91e+3 2.46e+3 ││
+ ││ │ ... ... ... ││
+ ││ │ 6.83e+3 5.12e+3 2.46e+3 ││
+ ││ │ 2.15e+3 2.00 2.46e+3 ││
+ │├──────┼───────────────────────────────┤│
+ ││3 @ 1 │ -2.78e+3 3.00 2.86e+3 ││
+ ││axis 2│ 2.48e+3 2.91e+3 2.86e+3 ││
+ ││ │ ... ... ... ││
+ ││ │ 7.16e+3 5.12e+3 2.86e+3 ││
+ ││ │ 2.48e+3 3.00 2.86e+3 ││
+ │├──────┼───────────────────────────────┤│
+ ││4 @ 1 │ -2.45e+3 4.00 3.26e+3 ││
+ ││axis 2│ 2.82e+3 2.91e+3 3.26e+3 ││
+ ││ │ ... ... ... ││
+ ││ │ 7.50e+3 5.12e+3 3.26e+3 ││
+ ││ │ 2.82e+3 4.00 3.26e+3 ││
+ │└──────┴───────────────────────────────┘│
+ ├────────────────────────────────────────┤
+ │┌──────┬──────────────────────────────┐ │
+ ││3 @ 0 │axis 3 │ │
+ │├──────┼──────────────────────────────┤ │
+ ││0 @ 1 │ -1.19e+4 3.65e+25 4.57e-41 │ │
+ ││axis 2│ -6.69e+3 3.65e+25 1.00 │ │
+ ││ │ ... ... ... │ │
+ ││ │ -2.01e+3 3.65e+25 4.00 │ │
+ ││ │ -6.69e+3 3.65e+25 5.00 │ │
+ │├──────┼──────────────────────────────┤ │
+ ││1 @ 1 │ -5.27e+3 3.65e+25 2.06e+3 │ │
+ ││axis 2│ 3.00 3.65e+25 2.06e+3 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 4.68e+3 3.65e+25 2.06e+3 │ │
+ ││ │ 3.00 3.65e+25 2.06e+3 │ │
+ │├──────┼──────────────────────────────┤ │
+ ││2 @ 1 │ -3.12e+3 3.65e+25 2.46e+3 │ │
+ ││axis 2│ 2.15e+3 3.65e+25 2.46e+3 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 6.83e+3 3.65e+25 2.46e+3 │ │
+ ││ │ 2.15e+3 3.65e+25 2.46e+3 │ │
+ │├──────┼──────────────────────────────┤ │
+ ││3 @ 1 │ -2.78e+3 3.65e+25 2.86e+3 │ │
+ ││axis 2│ 2.48e+3 3.65e+25 2.86e+3 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 7.16e+3 3.65e+25 2.86e+3 │ │
+ ││ │ 2.48e+3 3.65e+25 2.86e+3 │ │
+ │├──────┼──────────────────────────────┤ │
+ ││4 @ 1 │ -2.45e+3 3.65e+25 3.26e+3 │ │
+ ││axis 2│ 2.82e+3 3.65e+25 3.26e+3 │ │
+ ││ │ ... ... ... │ │
+ ││ │ 7.50e+3 3.65e+25 3.26e+3 │ │
+ ││ │ 2.82e+3 3.65e+25 3.26e+3 │ │
+ │└──────┴──────────────────────────────┘ │
+ └────────────────────────────────────────┘
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ ti;
[%expect
{|
- ┌───────────────────────────┐
- │[1]: =>_ti shape 0:4,1:3 │
- │┌──────┬──────────────────┐│
- ││ │axis 1 ││
- │├──────┼──────────────────┤│
- ││axis 0│ 0.00 0.00 0.00 ││
- ││ │ 1.00 0.00 0.00 ││
- ││ │ 2.00 0.00 0.00 ││
- ││ │ 3.00 0.00 0.00 ││
- │└──────┴──────────────────┘│
- └───────────────────────────┘
+ ┌────────────────────────────────────┐
+ │[1]: =>_ti shape 0:4,1:3 │
+ │┌──────┬───────────────────────────┐│
+ ││ │axis 1 ││
+ │├──────┼───────────────────────────┤│
+ ││axis 0│ 0.00 4.57e-41 3.65e+25 ││
+ ││ │ 1.00 3.35e+7 9.10e-39 ││
+ ││ │ 2.00 0.00 -1.04e-20 ││
+ ││ │ 3.00 3.65e+25 4.57e-41 ││
+ │└──────┴───────────────────────────┘│
+ └────────────────────────────────────┘
|}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ tk;
[%expect
{|
- ┌───────────────────────────┐
- │[7]: =>_tk shape 0:6,1:3 │
- │┌──────┬──────────────────┐│
- ││ │axis 1 ││
- │├──────┼──────────────────┤│
- ││axis 0│ 0.00 0.00 0.00 ││
- ││ │ 0.00 0.00 1.00 ││
- ││ │ ... ... ... ││
- ││ │ 0.00 0.00 4.00 ││
- ││ │ 0.00 0.00 5.00 ││
- │└──────┴──────────────────┘│
- └───────────────────────────┘
+ ┌───────────────────────────────────┐
+ │[7]: =>_tk shape 0:6,1:3 │
+ │┌──────┬──────────────────────────┐│
+ ││ │axis 1 ││
+ │├──────┼──────────────────────────┤│
+ ││axis 0│ -5.27e+3 3.07e-41 0.00 ││
+ ││ │ 0.00 2.91e+3 1.00 ││
+ ││ │ ... ... ... ││
+ ││ │ 4.68e+3 5.12e+3 4.00 ││
+ ││ │ 0.00 0.00 5.00 ││
+ │└──────┴──────────────────────────┘│
+ └───────────────────────────────────┘
|}]
let%expect_test "einsum with a leftmost input axis preserved as output axis" =
@@ -1644,54 +1218,10 @@ let%expect_test "einsum with a leftmost input axis preserved as output axis" =
Train.forward_and_forget backend ctx c;
Tensor.print ~with_code:false ~with_grad:false `Default @@ a;
[%expect
- {|
- ┌───────────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │[0]: r3x2x4_a shape 0:3|2:4->1:2 │
- │┌──────┬────────────────────────┬────────────────────────────────────┬────────────────────────────────────┐│
- ││ │0 @ 0 │1 @ 0 │2 @ 0 ││
- ││ │axis 2 │axis 2 │axis 2 ││
- │├──────┼────────────────────────┼────────────────────────────────────┼────────────────────────────────────┤│
- ││axis 1│ 0.00 1.00 2.00 3.00 │ 8.00 9.00 1.00e+1 1.10e+1 │ 1.60e+1 1.70e+1 1.80e+1 1.90e+1 ││
- ││ │ 4.00 5.00 6.00 7.00 │ 1.20e+1 1.30e+1 1.40e+1 1.50e+1 │ 2.00e+1 2.10e+1 2.20e+1 2.30e+1 ││
- │└──────┴────────────────────────┴────────────────────────────────────┴────────────────────────────────────┘│
- └───────────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}];
+ {| [0]: r3x2x4_a shape 0:3|2:4->1:2 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ b;
[%expect
- {|
- ┌────────────────────────────────────────────────────────────────┐
- │[1]: r3x4x2x3_b shape 0:3|2:2,3:3->1:4 │
- │┌──────┬───────────────────────────┬───────────────────────────┐│
- ││0 @ 0 │0 @ 2 │1 @ 2 ││
- ││ │axis 3 │axis 3 ││
- │├──────┼───────────────────────────┼───────────────────────────┤│
- ││axis 1│ 0.00 1.00 2.00 │ 3.00 4.00 5.00 ││
- ││ │ 6.00 7.00 8.00 │ 9.00 1.00e+1 1.10e+1 ││
- ││ │ 1.20e+1 1.30e+1 1.40e+1 │ 1.50e+1 1.60e+1 1.70e+1 ││
- ││ │ 1.80e+1 1.90e+1 2.00e+1 │ 2.10e+1 2.20e+1 2.30e+1 ││
- │└──────┴───────────────────────────┴───────────────────────────┘│
- ├────────────────────────────────────────────────────────────────┤
- │┌──────┬───────────────────────────┬───────────────────────────┐│
- ││1 @ 0 │0 @ 2 │1 @ 2 ││
- ││ │axis 3 │axis 3 ││
- │├──────┼───────────────────────────┼───────────────────────────┤│
- ││axis 1│ 2.40e+1 2.50e+1 2.60e+1 │ 2.70e+1 2.80e+1 2.90e+1 ││
- ││ │ 3.00e+1 3.10e+1 3.20e+1 │ 3.30e+1 3.40e+1 3.50e+1 ││
- ││ │ 3.60e+1 3.70e+1 3.80e+1 │ 3.90e+1 4.00e+1 4.10e+1 ││
- ││ │ 4.20e+1 4.30e+1 4.40e+1 │ 4.50e+1 4.60e+1 4.70e+1 ││
- │└──────┴───────────────────────────┴───────────────────────────┘│
- ├────────────────────────────────────────────────────────────────┤
- │┌──────┬───────────────────────────┬───────────────────────────┐│
- ││2 @ 0 │0 @ 2 │1 @ 2 ││
- ││ │axis 3 │axis 3 ││
- │├──────┼───────────────────────────┼───────────────────────────┤│
- ││axis 1│ 4.80e+1 4.90e+1 5.00e+1 │ 5.10e+1 5.20e+1 5.30e+1 ││
- ││ │ 5.40e+1 5.50e+1 5.60e+1 │ 5.70e+1 5.80e+1 5.90e+1 ││
- ││ │ 6.00e+1 6.10e+1 6.20e+1 │ 6.30e+1 6.40e+1 6.50e+1 ││
- ││ │ 6.60e+1 6.70e+1 6.80e+1 │ 6.90e+1 7.00e+1 7.10e+1 ││
- │└──────┴───────────────────────────┴───────────────────────────┘│
- └────────────────────────────────────────────────────────────────┘
- |}];
+ {| [1]: r3x4x2x3_b shape 0:3|2:2,3:3->1:4 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ c;
[%expect
{|
@@ -1728,34 +1258,10 @@ let%expect_test "einsum permuting two leftmost input axes as output axes" =
Train.forward_and_forget backend ctx c;
Tensor.print ~with_code:false ~with_grad:false `Default @@ a;
[%expect
- {|
- ┌───────────────────────────┐
- │[0]: r2x2_a shape 1:2->0:2 │
- │┌──────┬────────────┐ │
- ││ │axis 1 │ │
- │├──────┼────────────┤ │
- ││axis 0│ 0.00 1.00 │ │
- ││ │ 2.00 3.00 │ │
- │└──────┴────────────┘ │
- └───────────────────────────┘
- |}];
+ {| [0]: r2x2_a shape 1:2->0:2 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ b;
[%expect
- {|
- ┌───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
- │[1]: r2x2x3x4_b shape 1:2,2:3,3:4->0:2 │
- │┌──────┬────────────────────────────────────┬────────────────────────────────────┬────────────────────────────────────┐│
- ││ │0 @ 2 │1 @ 2 │2 @ 2 ││
- ││ │axis 3 │axis 3 │axis 3 ││
- │├──────┼────────────────────────────────────┼────────────────────────────────────┼────────────────────────────────────┤│
- ││0 @ 1 │ 0.00 1.00 2.00 3.00 │ 4.00 5.00 6.00 7.00 │ 8.00 9.00 1.00e+1 1.10e+1 ││
- ││axis 0│ 2.40e+1 2.50e+1 2.60e+1 2.70e+1 │ 2.80e+1 2.90e+1 3.00e+1 3.10e+1 │ 3.20e+1 3.30e+1 3.40e+1 3.50e+1 ││
- │├──────┼────────────────────────────────────┼────────────────────────────────────┼────────────────────────────────────┤│
- ││1 @ 1 │ 1.20e+1 1.30e+1 1.40e+1 1.50e+1 │ 1.60e+1 1.70e+1 1.80e+1 1.90e+1 │ 2.00e+1 2.10e+1 2.20e+1 2.30e+1 ││
- ││axis 0│ 3.60e+1 3.70e+1 3.80e+1 3.90e+1 │ 4.00e+1 4.10e+1 4.20e+1 4.30e+1 │ 4.40e+1 4.50e+1 4.60e+1 4.70e+1 ││
- │└──────┴────────────────────────────────────┴────────────────────────────────────┴────────────────────────────────────┘│
- └───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
- |}];
+ {| [1]: r2x2x3x4_b shape 1:2,2:3,3:4->0:2 <virtual> |}];
Tensor.print ~with_code:false ~with_grad:false `Default @@ c;
[%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 #50}
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_cc_backend_verify_codesign
Not found, using default false
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=0.000000, epoch loss=0.000000
Batch=119, step=120, lr=0.199750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=180, lr=0.199500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=240, lr=0.199250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=300, lr=0.199000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=360, lr=0.198750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=420, lr=0.198500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=480, lr=0.198250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=540, lr=0.198000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=600, lr=0.197750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=660, lr=0.197500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=720, lr=0.197250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=780, lr=0.197000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=840, lr=0.196750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=900, lr=0.196500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=960, lr=0.196250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=1020, lr=0.196000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=1080, lr=0.195750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=1140, lr=0.195500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=1200, lr=0.195250, batch loss=0.000000, epoch loss=0.000000
Epoch=0, step=1200, lr=0.195250, epoch loss=0.000000
Batch=59, step=1260, lr=0.195000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=1320, lr=0.194750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=1380, lr=0.194500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=1440, lr=0.194250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=1500, lr=0.194000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=1560, lr=0.193750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=1620, lr=0.193500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=1680, lr=0.193250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=1740, lr=0.193000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=1800, lr=0.192750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=1860, lr=0.192500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=1920, lr=0.192250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=1980, lr=0.192000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=2040, lr=0.191750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=2100, lr=0.191500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=2160, lr=0.191250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=2220, lr=0.191000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=2280, lr=0.190750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=2340, lr=0.190500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=2400, lr=0.190250, batch loss=0.000000, epoch loss=0.000000
Epoch=1, step=2400, lr=0.190250, epoch loss=0.000000
Batch=59, step=2460, lr=0.190000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=2520, lr=0.189750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=2580, lr=0.189500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=2640, lr=0.189250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=2700, lr=0.189000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=2760, lr=0.188750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=2820, lr=0.188500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=2880, lr=0.188250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=2940, lr=0.188000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=3000, lr=0.187750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=3060, lr=0.187500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=3120, lr=0.187250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=3180, lr=0.187000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=3240, lr=0.186750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=3300, lr=0.186500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=3360, lr=0.186250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=3420, lr=0.186000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=3480, lr=0.185750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=3540, lr=0.185500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=3600, lr=0.185250, batch loss=0.000000, epoch loss=0.000000
Epoch=2, step=3600, lr=0.185250, epoch loss=0.000000
Batch=59, step=3660, lr=0.185000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=3720, lr=0.184750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=3780, lr=0.184500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=3840, lr=0.184250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=3900, lr=0.184000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=3960, lr=0.183750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=4020, lr=0.183500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=4080, lr=0.183250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=4140, lr=0.183000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=4200, lr=0.182750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=4260, lr=0.182500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=4320, lr=0.182250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=4380, lr=0.182000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=4440, lr=0.181750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=4500, lr=0.181500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=4560, lr=0.181250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=4620, lr=0.181000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=4680, lr=0.180750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=4740, lr=0.180500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=4800, lr=0.180250, batch loss=0.000000, epoch loss=0.000000
Epoch=3, step=4800, lr=0.180250, epoch loss=0.000000
Batch=59, step=4860, lr=0.180000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=4920, lr=0.179750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=4980, lr=0.179500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=5040, lr=0.179250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=5100, lr=0.179000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=5160, lr=0.178750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=5220, lr=0.178500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=5280, lr=0.178250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=5340, lr=0.178000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=5400, lr=0.177750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=5460, lr=0.177500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=5520, lr=0.177250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=5580, lr=0.177000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=5640, lr=0.176750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=5700, lr=0.176500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=5760, lr=0.176250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=5820, lr=0.176000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=5880, lr=0.175750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=5940, lr=0.175500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=6000, lr=0.175250, batch loss=0.000000, epoch loss=0.000000
Epoch=4, step=6000, lr=0.175250, epoch loss=0.000000
Batch=59, step=6060, lr=0.175000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=6120, lr=0.174750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=6180, lr=0.174500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=6240, lr=0.174250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=6300, lr=0.174000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=6360, lr=0.173750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=6420, lr=0.173500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=6480, lr=0.173250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=6540, lr=0.173000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=6600, lr=0.172750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=6660, lr=0.172500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=6720, lr=0.172250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=6780, lr=0.172000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=6840, lr=0.171750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=6900, lr=0.171500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=6960, lr=0.171250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=7020, lr=0.171000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=7080, lr=0.170750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=7140, lr=0.170500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=7200, lr=0.170250, batch loss=0.000000, epoch loss=0.000000
Epoch=5, step=7200, lr=0.170250, epoch loss=0.000000
Batch=59, step=7260, lr=0.170000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=7320, lr=0.169750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=7380, lr=0.169500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=7440, lr=0.169250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=7500, lr=0.169000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=7560, lr=0.168750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=7620, lr=0.168500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=7680, lr=0.168250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=7740, lr=0.168000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=7800, lr=0.167750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=7860, lr=0.167500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=7920, lr=0.167250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=7980, lr=0.167000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=8040, lr=0.166750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=8100, lr=0.166500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=8160, lr=0.166250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=8220, lr=0.166000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=8280, lr=0.165750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=8340, lr=0.165500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=8400, lr=0.165250, batch loss=0.000000, epoch loss=0.000000
Epoch=6, step=8400, lr=0.165250, epoch loss=0.000000
Batch=59, step=8460, lr=0.165000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=8520, lr=0.164750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=8580, lr=0.164500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=8640, lr=0.164250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=8700, lr=0.164000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=8760, lr=0.163750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=8820, lr=0.163500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=8880, lr=0.163250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=8940, lr=0.163000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=9000, lr=0.162750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=9060, lr=0.162500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=9120, lr=0.162250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=9180, lr=0.162000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=9240, lr=0.161750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=9300, lr=0.161500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=9360, lr=0.161250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=9420, lr=0.161000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=9480, lr=0.160750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=9540, lr=0.160500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=9600, lr=0.160250, batch loss=0.000000, epoch loss=0.000000
Epoch=7, step=9600, lr=0.160250, epoch loss=0.000000
Batch=59, step=9660, lr=0.160000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=9720, lr=0.159750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=9780, lr=0.159500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=9840, lr=0.159250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=9900, lr=0.159000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=9960, lr=0.158750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=10020, lr=0.158500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=10080, lr=0.158250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=10140, lr=0.158000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=10200, lr=0.157750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=10260, lr=0.157500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=10320, lr=0.157250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=10380, lr=0.157000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=10440, lr=0.156750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=10500, lr=0.156500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=10560, lr=0.156250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=10620, lr=0.156000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=10680, lr=0.155750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=10740, lr=0.155500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=10800, lr=0.155250, batch loss=0.000000, epoch loss=0.000000
Epoch=8, step=10800, lr=0.155250, epoch loss=0.000000
Batch=59, step=10860, lr=0.155000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=10920, lr=0.154750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=10980, lr=0.154500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=11040, lr=0.154250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=11100, lr=0.154000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=11160, lr=0.153750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=11220, lr=0.153500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=11280, lr=0.153250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=11340, lr=0.153000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=11400, lr=0.152750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=11460, lr=0.152500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=11520, lr=0.152250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=11580, lr=0.152000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=11640, lr=0.151750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=11700, lr=0.151500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=11760, lr=0.151250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=11820, lr=0.151000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=11880, lr=0.150750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=11940, lr=0.150500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=12000, lr=0.150250, batch loss=0.000000, epoch loss=0.000000
Epoch=9, step=12000, lr=0.150250, epoch loss=0.000000
Batch=59, step=12060, lr=0.150000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=12120, lr=0.149750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=12180, lr=0.149500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=12240, lr=0.149250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=12300, lr=0.149000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=12360, lr=0.148750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=12420, lr=0.148500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=12480, lr=0.148250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=12540, lr=0.148000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=12600, lr=0.147750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=12660, lr=0.147500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=12720, lr=0.147250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=12780, lr=0.147000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=12840, lr=0.146750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=12900, lr=0.146500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=12960, lr=0.146250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=13020, lr=0.146000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=13080, lr=0.145750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=13140, lr=0.145500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=13200, lr=0.145250, batch loss=0.000000, epoch loss=0.000000
Epoch=10, step=13200, lr=0.145250, epoch loss=0.000000
Batch=59, step=13260, lr=0.145000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=13320, lr=0.144750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=13380, lr=0.144500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=13440, lr=0.144250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=13500, lr=0.144000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=13560, lr=0.143750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=13620, lr=0.143500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=13680, lr=0.143250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=13740, lr=0.143000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=13800, lr=0.142750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=13860, lr=0.142500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=13920, lr=0.142250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=13980, lr=0.142000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=14040, lr=0.141750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=14100, lr=0.141500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=14160, lr=0.141250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=14220, lr=0.141000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=14280, lr=0.140750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=14340, lr=0.140500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=14400, lr=0.140250, batch loss=0.000000, epoch loss=0.000000
Epoch=11, step=14400, lr=0.140250, epoch loss=0.000000
Batch=59, step=14460, lr=0.140000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=14520, lr=0.139750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=14580, lr=0.139500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=14640, lr=0.139250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=14700, lr=0.139000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=14760, lr=0.138750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=14820, lr=0.138500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=14880, lr=0.138250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=14940, lr=0.138000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=15000, lr=0.137750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=15060, lr=0.137500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=15120, lr=0.137250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=15180, lr=0.137000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=15240, lr=0.136750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=15300, lr=0.136500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=15360, lr=0.136250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=15420, lr=0.136000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=15480, lr=0.135750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=15540, lr=0.135500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=15600, lr=0.135250, batch loss=0.000000, epoch loss=0.000000
Epoch=12, step=15600, lr=0.135250, epoch loss=0.000000
Batch=59, step=15660, lr=0.135000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=15720, lr=0.134750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=15780, lr=0.134500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=15840, lr=0.134250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=15900, lr=0.134000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=15960, lr=0.133750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=16020, lr=0.133500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=16080, lr=0.133250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=16140, lr=0.133000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=16200, lr=0.132750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=16260, lr=0.132500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=16320, lr=0.132250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=16380, lr=0.132000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=16440, lr=0.131750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=16500, lr=0.131500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=16560, lr=0.131250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=16620, lr=0.131000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=16680, lr=0.130750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=16740, lr=0.130500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=16800, lr=0.130250, batch loss=0.000000, epoch loss=0.000000
Epoch=13, step=16800, lr=0.130250, epoch loss=0.000000
Batch=59, step=16860, lr=0.130000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=16920, lr=0.129750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=16980, lr=0.129500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=17040, lr=0.129250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=17100, lr=0.129000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=17160, lr=0.128750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=17220, lr=0.128500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=17280, lr=0.128250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=17340, lr=0.128000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=17400, lr=0.127750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=17460, lr=0.127500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=17520, lr=0.127250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=17580, lr=0.127000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=17640, lr=0.126750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=17700, lr=0.126500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=17760, lr=0.126250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=17820, lr=0.126000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=17880, lr=0.125750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=17940, lr=0.125500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=18000, lr=0.125250, batch loss=0.000000, epoch loss=0.000000
Epoch=14, step=18000, lr=0.125250, epoch loss=0.000000
Batch=59, step=18060, lr=0.125000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=18120, lr=0.124750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=18180, lr=0.124500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=18240, lr=0.124250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=18300, lr=0.124000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=18360, lr=0.123750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=18420, lr=0.123500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=18480, lr=0.123250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=18540, lr=0.123000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=18600, lr=0.122750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=18660, lr=0.122500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=18720, lr=0.122250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=18780, lr=0.122000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=18840, lr=0.121750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=18900, lr=0.121500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=18960, lr=0.121250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=19020, lr=0.121000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=19080, lr=0.120750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=19140, lr=0.120500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=19200, lr=0.120250, batch loss=0.000000, epoch loss=0.000000
Epoch=15, step=19200, lr=0.120250, epoch loss=0.000000
Batch=59, step=19260, lr=0.120000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=19320, lr=0.119750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=19380, lr=0.119500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=19440, lr=0.119250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=19500, lr=0.119000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=19560, lr=0.118750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=19620, lr=0.118500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=19680, lr=0.118250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=19740, lr=0.118000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=19800, lr=0.117750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=19860, lr=0.117500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=19920, lr=0.117250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=19980, lr=0.117000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=20040, lr=0.116750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=20100, lr=0.116500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=20160, lr=0.116250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=20220, lr=0.116000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=20280, lr=0.115750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=20340, lr=0.115500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=20400, lr=0.115250, batch loss=0.000000, epoch loss=0.000000
Epoch=16, step=20400, lr=0.115250, epoch loss=0.000000
Batch=59, step=20460, lr=0.115000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=20520, lr=0.114750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=20580, lr=0.114500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=20640, lr=0.114250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=20700, lr=0.114000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=20760, lr=0.113750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=20820, lr=0.113500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=20880, lr=0.113250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=20940, lr=0.113000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=21000, lr=0.112750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=21060, lr=0.112500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=21120, lr=0.112250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=21180, lr=0.112000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=21240, lr=0.111750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=21300, lr=0.111500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=21360, lr=0.111250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=21420, lr=0.111000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=21480, lr=0.110750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=21540, lr=0.110500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=21600, lr=0.110250, batch loss=0.000000, epoch loss=0.000000
Epoch=17, step=21600, lr=0.110250, epoch loss=0.000000
Batch=59, step=21660, lr=0.110000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=21720, lr=0.109750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=21780, lr=0.109500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=21840, lr=0.109250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=21900, lr=0.108750, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=21960, lr=0.108750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=22020, lr=0.108500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=22080, lr=0.108250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=22140, lr=0.108000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=22200, lr=0.107750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=22260, lr=0.107500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=22320, lr=0.107250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=22380, lr=0.107000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=22440, lr=0.106750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=22500, lr=0.106500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=22560, lr=0.106250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=22620, lr=0.106000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=22680, lr=0.105750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=22740, lr=0.105500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=22800, lr=0.105250, batch loss=0.000000, epoch loss=0.000000
Epoch=18, step=22800, lr=0.105250, epoch loss=0.000000
Batch=59, step=22860, lr=0.105000, batch loss=0.000000, epoch loss=0.000000
Batch=119, step=22920, lr=0.104750, batch loss=0.000000, epoch loss=0.000000
Batch=179, step=22980, lr=0.104500, batch loss=0.000000, epoch loss=0.000000
Batch=239, step=23040, lr=0.104250, batch loss=0.000000, epoch loss=0.000000
Batch=299, step=23100, lr=0.104000, batch loss=0.000000, epoch loss=0.000000
Batch=359, step=23160, lr=0.103750, batch loss=0.000000, epoch loss=0.000000
Batch=419, step=23220, lr=0.103500, batch loss=0.000000, epoch loss=0.000000
Batch=479, step=23280, lr=0.103250, batch loss=0.000000, epoch loss=0.000000
Batch=539, step=23340, lr=0.103000, batch loss=0.000000, epoch loss=0.000000
Batch=599, step=23400, lr=0.102750, batch loss=0.000000, epoch loss=0.000000
Batch=659, step=23460, lr=0.102500, batch loss=0.000000, epoch loss=0.000000
Batch=719, step=23520, lr=0.102250, batch loss=0.000000, epoch loss=0.000000
Batch=779, step=23580, lr=0.102000, batch loss=0.000000, epoch loss=0.000000
Batch=839, step=23640, lr=0.101750, batch loss=0.000000, epoch loss=0.000000
Batch=899, step=23700, lr=0.101500, batch loss=0.000000, epoch loss=0.000000
Batch=959, step=23760, lr=0.101250, batch loss=0.000000, epoch loss=0.000000
Batch=1019, step=23820, lr=0.101000, batch loss=0.000000, epoch loss=0.000000
Batch=1079, step=23880, lr=0.100750, batch loss=0.000000, epoch loss=0.000000
Batch=1139, step=23940, lr=0.100500, batch loss=0.000000, epoch loss=0.000000
Batch=1199, step=24000, lr=0.100250, batch loss=0.000000, epoch loss=0.000000
Epoch=19, step=24000, lr=0.100250, epoch loss=0.000000
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
2025-07-12 12:53.41: Job failed: Failed: Build failed