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From YouTube: Unimatrix Technical Board call 2020-07-01
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B
And
maybe
we
could
start
with
discussing.
We
don't
have
many
points
today,
but
if
we
are
waiting
for
videotape
to
join
for
the
tv
vote,
we
could
really
start
talking
about
the
meeting
recordings
frederick.
You
suggested
that
we
should
move
to
youtube
for
the
recording
so
that
we,
I
guess
it's
more
easy
to
view
the
recordings.
If
you
have
them
on
youtube.
E
B
D
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F
E
E
Yeah
I
mean
it
should
be
a
relatively
easy
task
to
identify
a
placeholder,
that's
outside
the
jit.
Basically,
whether
it's
it's
you
know
could,
alternatively,
be
a
place
where
we
like
an
on
on
online
storage,
where
you
just
put
the
files
and
then
you
download
and
view,
even
though
it's
not
as
optimal
as
youtube,
but
it
would
work
as
long
as
it's
accessible
from
both
places
but
yeah.
Maybe
it's
an
action
item
for
next
meeting.
B
D
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E
H
D
D
D
I
F
D
D
Yeah,
basically
from
our
management,
they
want
to
to
be
able
to
to
get
the
the
okay
on
investing
the
time
needed
to
for
making
the
the
release
public.
We
wanted
to
have
this
vote
to
go
through,
so
that
we,
because
there
is
a
some
resources
that
are
necessary
to
to
make
everything
their
documentation.
Everything
like
ready
for
for
to
be
public,
so
they
wanted
to
have
this
vote
done
before.
D
B
H
B
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J
Can
I
have
a
question
so
I'm
from
april
and
we
are
okay,
but
we
expect
that
our
when
release
we
expect
to
receive
some
document
to
show
the
advantage
and
some
disabilities,
maybe
some
limitation
points,
especially
for
the
optimizations
or
performance
compatibility
with
the
other
deep
learning
framework.
Yeah.
That's
already
my.
D
D
I
D
I
was
just
going
to
say
it
was
something
that
I
think
when
we
do
the
new
release
of
lord.
I
think
one
important
aspect
are
the
examples,
so
because
right
now
we
only
have
one
example
and
it's
using
the
not
using
the
larot
api.
Actually
it's
using
the
tensorflow
serving
api,
so
I
think
with
the
release.
There
should
be
a
couple
of
examples,
so
you
understand,
and
then
maybe
from
that
you
can
see
what
the
limitations
are
right
now
with
acceleration
and
so
on.
D
D
H
G
H
We
intend
to
invite
yon
in
one
of
our
next
sessions.
Could
it
be
more
useful
if
he
sort
of
walks
us
through
and
then
companies
will
have
questions
around
the
performance
of
larrow
as
opposed
to
other
influence
engine?
So
I
suppose
he
would
be
better
able
to
respond
to
the
queries
as
well
when
it
comes
down
to
performance
issues.
D
I
I
think
now,
since
we
have
now,
we
have
this
vote,
I
think
from
the
lara
team.
They
are
more
willing
to
participate,
so
I
mean,
for
example,
in
december
we
had
two
other
guys
that
was
not
present
in
the
and
the
hackathon
we
just
finished.
So
that's
was
anders
and
another
guy
don't
remember
his
name.
So
those
guys
are
really
good
on
all
the
details
about
what
you
can
do
and
cannot
do.