提交 50db9b84 编写于 作者: M Megvii Engine Team 提交者: Xu Xinran

fix(gopt): fix paramfuse if the endpoint is const

GitOrigin-RevId: f666f6d70037debbff34551149d04b0bd8c256f4
上级 35bc0e1f
......@@ -74,7 +74,7 @@ OperatorNodeBase* SubGraph::Rewriter::auto_replace_outputs(
auto &&ins = m_varmap.insert({out0[i], {true, nullptr}});
mgb_assert(ins.second || ins.first->second.first,
"opr output already replaced");
"opr output already replaced");
// handle repeated call on the same opr
ins.first->second.second = out1[i];
on_var_replaced(out0[i], out1[i], nullptr);
......@@ -771,7 +771,7 @@ const GraphOptimizer& GraphOptimizer::add_passes_for_optimize_options(
/* ================ ConstVarPropogateBase ================ */
ConstVarPropogateBase::AddOprResult ConstVarPropogateBase::add_opr(
ConstVarPropogate::AddOprResult ConstVarPropogate::add_opr(
OperatorNodeBase *opr) {
using ProfFlag = OperatorNodeBase::NodeProp::Flag;
auto &&info = m_oprinfo[opr];
......@@ -834,7 +834,6 @@ ConstVarPropogateBase::AddOprResult ConstVarPropogateBase::add_opr(
#endif
info.max_size = max_input_size;
info.is_const = true;
on_midconst_opr(opr, max_input_size);
}
return make_ret();
}
......
......@@ -442,50 +442,6 @@ void ParamRedistributePass::apply(OptState &state) const {
/* ================ ParamFusePass ================ */
class ParamFusePass::ConstVarPropogateWithSizeCheck final:
public ConstVarPropogateBase
{
public:
//! rewrite a var; reader == nullptr means needed by endpoint
using VarRewriter = std::function<
void(VarNode *var, OperatorNodeBase *reader)>;
ConstVarPropogateWithSizeCheck(
const ParamFusePass &pf, OptState &opt_state,
const VarRewriter &rewriter):
ConstVarPropogateBase{ConstVarType::IMMUTABLE_AND_PARAM},
m_owner{pf}, m_opt_state{opt_state}, m_rewriter{rewriter}
{
}
private:
const ParamFusePass &m_owner;
OptState &m_opt_state;
VarRewriter m_rewriter;
void on_midconst_opr(
OperatorNodeBase *opr, size_t max_src_size) override {
for (auto var: opr->output()) {
if (var->contain_flag(VarNode::Flag::VOLATILE_CONTENT))
continue;
auto osize = var_mem_size(var);
if (osize >= max_src_size &&
osize - max_src_size > m_owner.m_param_grow_limit) {
return;
}
// const oprs should be evaluated when output is used by another
// non-const opr or output is needed by the user
if (m_opt_state.graph().endpoint_contain(var)) {
m_rewriter(var, nullptr);
}
}
}
};
/*!
* \brief get name for new param
*/
......@@ -565,9 +521,15 @@ const char* ParamFusePass::name() const {
void ParamFusePass::apply(OptState &state) const {
auto rewriter = state.graph().make_rewriter();
auto cg = state.graph().comp_graph();
ConstVarPropogate cvprop{ConstVarType::IMMUTABLE_AND_PARAM};
state.graph().iter([&cvprop](OperatorNodeBase *opr) {
cvprop.add_opr(opr);
});
ThinHashSet<VarNode*> processed_var;
VarNamer var_namer;
// reader: null if used as endvar
auto replace_single_var = [&](VarNode *var, OperatorNodeBase *reader) {
if (!processed_var.insert(var).second)
......@@ -619,9 +581,8 @@ void ParamFusePass::apply(OptState &state) const {
rewriter.replace_var(var, new_var.node(), log.c_str());
};
ConstVarPropogateWithSizeCheck cvprop{*this, state, replace_single_var};
auto on_opr = [&](OperatorNodeBase *opr) {
auto add_ret = cvprop.add_opr(opr);
auto replace_opr = [&](OperatorNodeBase* opr) {
auto add_ret = cvprop.opr_rst(opr);
if (!add_ret.all_const_inp && add_ret.has_midconst_inp) {
for (auto i: opr->input()) {
if (cvprop.is_midconst(i)) {
......@@ -631,9 +592,33 @@ void ParamFusePass::apply(OptState &state) const {
}
}
rewriter.auto_replace_outputs(opr);
//! we should deal with midconst var after auto_replace_outputs, as
//! on_midconst_opr will replace the endpoint output which may cause
//! double replace.
if (add_ret.all_const_inp) {
for (auto var : opr->output()) {
if (var->contain_flag(VarNode::Flag::VOLATILE_CONTENT))
continue;
auto osize = ConstVarPropogate::var_mem_size(var);
if (osize >= cvprop.max_size(opr) &&
osize - cvprop.max_size(opr) > m_param_grow_limit) {
return;
}
// const oprs should be evaluated when output is used by another
// non-const opr or output is needed by the user
if (state.graph().endpoint_contain(var)) {
replace_single_var(var, nullptr);
}
}
}
};
state.graph().iter(on_opr);
state.graph().iter(replace_opr);
rewriter.apply_inplace();
}
......
......@@ -490,28 +490,17 @@ namespace gopt {
* Usually you would want to use ConstVarPropogate, and this base class
* exists to avoid virtual dtor while allowing polymorphism.
*/
class ConstVarPropogateBase {
protected:
~ConstVarPropogateBase() = default;
//! memory usage of a var
static size_t var_mem_size(VarNode *var) {
return var->dtype().size(var->shape().total_nr_elems());
}
//! called after a const but non-source opr is visited
virtual void on_midconst_opr(
OperatorNodeBase *opr, size_t max_src_size) {
MGB_MARK_USED_VAR(opr);
MGB_MARK_USED_VAR(max_src_size);
}
class ConstVarPropogate{
public:
explicit ConstVarPropogateBase(ConstVarType const_var_type):
explicit ConstVarPropogate(ConstVarType const_var_type):
m_const_var_type{const_var_type}
{
}
ConstVarPropogate() = default;
~ConstVarPropogate() = default;
//! note that both attrs would be false if opr is impure or it is
//! not allowed to be replaced
struct AddOprResult {
......@@ -527,12 +516,19 @@ namespace gopt {
AddOprResult add_opr(OperatorNodeBase *opr);
const AddOprResult& opr_rst(OperatorNodeBase *opr) const {
return m_oprinfo.at(opr).result;
}
bool is_const(OperatorNodeBase *opr) const {
return m_oprinfo.at(opr).is_const;
}
bool is_const(VarNode *var) const {
return is_const(var->owner_opr());
}
size_t max_size(OperatorNodeBase *opr) const {
return m_oprinfo.at(opr).max_size;
}
//! whether a var is produced by non-source const opr
bool is_midconst(OperatorNodeBase *opr) const {
......@@ -543,6 +539,11 @@ namespace gopt {
return is_midconst(var->owner_opr());
}
//! memory usage of a var
static size_t var_mem_size(VarNode *var) {
return var->dtype().size(var->shape().total_nr_elems());
}
private:
struct OprInfo {
bool processed = false, is_const = false;
......@@ -556,11 +557,6 @@ namespace gopt {
};
class ConstVarPropogate final: public ConstVarPropogateBase {
public:
using ConstVarPropogateBase::ConstVarPropogateBase;
};
} // namespace gopt
} // namespace mgb
......
......@@ -112,6 +112,52 @@ void warp_perspective_mat_gen(HostTensorND& mat, size_t N, size_t INP_H,
#endif
} // namespace
TEST(TestGoptInference, ParamFuseConstEndPoint) {
constexpr size_t SIZE = 23;
HostTensorGenerator<> gen;
auto host_x = gen({SIZE}), host_y = gen({1}), host_p = gen({1});
auto graph = ComputingGraph::make();
graph->options().graph_opt_level = 0;
auto x = opr::SharedDeviceTensor::make(*graph, *host_x),
y = opr::SharedDeviceTensor::make(*graph, *host_y),
p = opr::Host2DeviceCopy::make(*graph, host_p),
q = p + x,
a = y + 3,
z0 = a + q,
z1 = a + 4;
HostTensorND host_z0, host_z1;
SymbolVar z0_1, z1_1;
unpack_vector(
gopt::GraphOptimizer{}.
add_pass<gopt::ParamFusePass>().
apply({{z1, z0}}).endpoint_vars(),
z1_1, z0_1);
auto func = graph->compile({make_callback_copy(z0_1, host_z0),
make_callback_copy(z1_1, host_z1)});
func->to_json()->writeto_fpath(
output_file("TestGoptInference.ParamFuseEndPoint.json"));
func->execute();
int nr_opr = 0;
func->iter_opr_seq([&](cg::OperatorNodeBase*) {++ nr_opr; return true; });
ASSERT_EQ(8, nr_opr);
auto px = host_x->ptr<float>(), pz0 = host_z0.ptr<float>();
auto yv = host_y->ptr<float>()[0], pv = host_p->ptr<float>()[0],
pz1 = host_z1.ptr<float>()[0];
for (size_t i = 0; i < SIZE; ++ i) {
MGB_ASSERT_FLOAT_EQ(px[i] + yv + 3 + pv, pz0[i]);
}
MGB_ASSERT_FLOAT_EQ(yv + 7, pz1);
}
TEST(TestGoptInference, ParamFuse) {
constexpr size_t SIZE = 23;
HostTensorGenerator<> gen;
......@@ -144,7 +190,7 @@ TEST(TestGoptInference, ParamFuse) {
func->execute();
int nr_opr = 0;
func->iter_opr_seq([&](cg::OperatorNodeBase*op) {++ nr_opr; return true; });
func->iter_opr_seq([&](cg::OperatorNodeBase*) {++ nr_opr; return true; });
ASSERT_EQ(6, nr_opr);
auto px = host_x->ptr<float>(), pz = host_z.ptr<float>(),
......
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