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Prevent collapsing batch dims in dot ops with constants #2823

Merged
merged 13 commits into from
May 31, 2024
Merged

Prevent collapsing batch dims in dot ops with constants #2823

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f061139
initial const dot matcher work
shivadbhavsar Feb 22, 2024
cdc7977
rsp_const_dot matcher
shivadbhavsar Feb 23, 2024
8921854
Merge remote-tracking branch 'origin/develop' into const_dot_matcher
shivadbhavsar Feb 23, 2024
f147dfc
remove handling of convert and fix breaking test case
shivadbhavsar Feb 23, 2024
cf23737
remove const constraint in rehsape_dot matcher
shivadbhavsar Feb 26, 2024
15b07bb
merge develop
shivadbhavsar Feb 26, 2024
6819b95
remove used once constraint for const_multibroadcast
shivadbhavsar Feb 26, 2024
6e7a1c8
merge develop
shivadbhavsar Feb 26, 2024
d06e4f8
add matcher to move convert before reshapes
shivadbhavsar Feb 26, 2024
efa81d9
change reshape_convert matcher to only apply when preceeding dot
shivadbhavsar Feb 27, 2024
6dc309c
combine reshape-dot matchers
shivadbhavsar Mar 4, 2024
048bcda
merge master and resolve conflicts
shivadbhavsar May 29, 2024
92b2246
Merge branch 'develop' into const_dot_matcher
causten May 30, 2024
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154 changes: 134 additions & 20 deletions src/simplify_reshapes.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -900,26 +900,80 @@
}
};

struct find_reshape_reshape_dot
// Remove unnecessary preceeding size 1 dims for constants
struct find_const_multibroadcast
{
auto matcher() const
{
return match::name("dot")(match::used_once(),
match::args(match::name("reshape").bind("inp_rsp1"),
match::name("reshape").bind("inp_rsp2")));
return match::name("multibroadcast")(match::arg(0)(match::is_constant().bind("constant")));
}

void apply(module& m, const match::matcher_result& mr) const
{
auto mbr = mr.result;
auto constant = mr.instructions["constant"];

if(constant->get_shape().lens().size() <= 1)
return;

auto const_lens = constant->get_shape().lens();
auto it = std::find_if(const_lens.begin(), const_lens.end(), [](auto i) { return i != 1; });
auto naxes = std::distance(const_lens.begin(), it);
if(naxes == 0)
return;

std::vector<std::size_t> sq_axes(naxes);
std::iota(sq_axes.begin(), sq_axes.end(), 0);

auto sq_const =
m.insert_instruction(mbr, make_op("squeeze", {{"axes", sq_axes}}), constant);
m.replace_instruction(mbr, mbr->get_operator(), sq_const);
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Couldn't we replace it with broadcast instead?

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This is just removing any unnecessary preceding dims in literals eg. {1, 1, 640, 640) which are later broadcasted to something like {2, 32, 640, 640}. Would broadcast work for this? I thought it only does 1 axis

}
};
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// Move convert before reshape when preceeding a dot op
struct find_reshape_convert_dot
{
auto matcher() const
{
auto dot_output = match::any_of[match::outputs()](match::name("dot"));
return match::name("convert")(match::arg(0)(match::name("reshape").bind("rsp")),
dot_output);
}

void apply(module& m, const match::matcher_result& r) const
{
auto convert = r.result;
auto rsp = r.instructions["rsp"];

auto inp = rsp->inputs().front();
auto new_convert = m.insert_instruction(rsp, convert->get_operator(), inp);
m.replace_instruction(convert, rsp->get_operator(), new_convert);
}
};
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struct find_reshape_dot
{
auto matcher() const
{
return match::name("dot")(
match::used_once(),
match::either_arg(0, 1)(match::name("reshape").bind("rsp"),
match::skip_broadcasts(match::any().bind("other"))));
}

// Gemm axis should not be altered by the reshape
auto is_valid_reshape(instruction_ref in, instruction_ref rsp) const
auto is_valid_reshape(instruction_ref inp, instruction_ref rsp, size_t dot_axis) const
{
auto in_lens = in->get_shape().lens();
auto inp_lens = inp->get_shape().lens();
auto rsp_lens = rsp->get_shape().lens();

return std::equal(rsp_lens.end() - 2, rsp_lens.end(), in_lens.end() - 2, in_lens.end());
return (inp_lens.size() >= dot_axis and
rsp_lens[rsp_lens.size() - dot_axis] == inp_lens[inp_lens.size() - dot_axis]);
}

// Batch dims should match for both inputs
auto is_valid_inputs(instruction_ref in1, instruction_ref in2) const
// Same batch dims
auto has_same_batch_dims(instruction_ref in1, instruction_ref in2) const
{
auto in1_lens = in1->get_shape().lens();
auto in2_lens = in2->get_shape().lens();
Expand All @@ -931,21 +985,79 @@

void apply(module& m, const match::matcher_result& r) const
{
auto dot = r.result;
auto inp_rsp1 = r.instructions["inp_rsp1"];
auto inp_rsp2 = r.instructions["inp_rsp2"];
auto dot = r.result;
auto rsp = r.instructions["rsp"];
auto other = r.instructions["other"];

auto dot_lens = dot->get_shape().lens();
auto rsp_lens = rsp->get_shape().lens();
auto inp = rsp->inputs().front();
auto inp_lens = inp->get_shape().lens();

auto inp1 = inp_rsp1->inputs().front();
auto inp2 = inp_rsp2->inputs().front();
// Gemm axis should not be altered by the reshape
bool flipped = rsp == dot->inputs().back();
size_t dot_axis = (flipped) ? 2 : 1;

if(not(is_valid_reshape(inp1, inp_rsp1) and is_valid_reshape(inp2, inp_rsp2) and
is_valid_inputs(inp1, inp2)))
if(not is_valid_reshape(inp, rsp, dot_axis))
return;

auto new_dot = m.insert_instruction(dot, dot->get_operator(), inp1, inp2);
m.replace_instruction(dot, make_op("reshape", {{"dims", dot_lens}}), new_dot);
instruction_ref new_other;
if(other->get_operator().name() == "reshape")
{
auto other_inp = other->inputs().front();
size_t other_dot_axis = (flipped) ? 1 : 2;
if(not is_valid_reshape(other_inp, other, other_dot_axis) or
not has_same_batch_dims(inp, other_inp))

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return;

new_other = other_inp;
}
else
{
auto other_lens = other->get_shape().lens();
if(other_lens.size() > 2)
return;

std::vector<size_t> new_other_lens{inp_lens.begin(), inp_lens.end() - 2};
operation new_bc_op;

auto bc_other = (flipped) ? dot->inputs().front() : dot->inputs().back();
auto bc_other_lens = bc_other->get_shape().lens();
new_other_lens.insert(
new_other_lens.end(), bc_other_lens.end() - 2, bc_other_lens.end());

// if the original weight is one dimensional, look at the original broadcast
// to determine the correct broadcast axis
if(other_lens.size() == 1)
{
auto bc_other_strides = bc_other->get_shape().strides();
auto it = std::find_if(bc_other_strides.begin(),
bc_other_strides.end(),
[&](auto i) { return i != 0; });
auto orig_bc_axis = std::distance(bc_other_strides.begin(), it);

auto new_bc_axis = new_other_lens.size() - (bc_other_lens.size() - orig_bc_axis);
new_bc_op =
make_op("broadcast", {{"axis", new_bc_axis}, {"out_lens", new_other_lens}});
}
else
{
new_bc_op = make_op("multibroadcast", {{"out_lens", new_other_lens}});
}

new_other = m.insert_instruction(dot, new_bc_op, other);
}

instruction_ref new_dot;
if(flipped)
{
new_dot = m.insert_instruction(dot, make_op("dot"), new_other, inp);
}
else
{
new_dot = m.insert_instruction(dot, make_op("dot"), inp, new_other);
}
m.replace_instruction(
dot, make_op("reshape", {{"dims", dot->get_shape().lens()}}), new_dot);
}
};

Expand All @@ -960,6 +1072,7 @@
find_reshaper{},
find_reshape_cont{},
find_transpose{},
find_const_multibroadcast{},
find_concat_slice{},
find_concat_transpose{},
find_concat_multibroadcasts{},
Expand All @@ -968,8 +1081,9 @@
find_transpose_slice{},
find_broadcast_transpose{},
find_slice_transpose{},
find_reshape_convert_dot{},
find_transpose_contiguous_reshaper_unary{},
find_reshape_reshape_dot{},
find_reshape_dot{},
find_scalar_multibroadcast_reshape_or_transpose{});
dead_code_elimination{}.apply(m);
}
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