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wenyuanbo
tic
Commits
d0fe532e
Commit
d0fe532e
authored
Sep 30, 2019
by
Animesh Jain
Committed by
Haichen Shen
Sep 30, 2019
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[Relay][Compile_engine] Int64 shape handling for outputs. (#4031)
parent
1bff2c89
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Showing
2 changed files
with
35 additions
and
1 deletions
+35
-1
src/relay/backend/compile_engine.cc
+20
-1
tests/python/relay/test_backend_compile_engine.py
+15
-0
No files found.
src/relay/backend/compile_engine.cc
View file @
d0fe532e
...
@@ -219,6 +219,25 @@ class ScheduleGetter :
...
@@ -219,6 +219,25 @@ class ScheduleGetter :
CHECK_EQ
(
call_node
->
args
.
size
(),
1U
)
CHECK_EQ
(
call_node
->
args
.
size
(),
1U
)
<<
"Only allow function with a single tuple input"
;
<<
"Only allow function with a single tuple input"
;
}
}
// Prepare the call_node->checked_type(). For the call node inputs, we ensure that the shape is
// Int32. Following code ensures the same for the output as well.
// TODO(@icemelon): Support recursive tuple
Type
call_node_type
=
call_node
->
checked_type
();
if
(
const
auto
*
tt
=
call_node
->
checked_type
().
as
<
TensorTypeNode
>
())
{
call_node_type
=
TensorTypeNode
::
make
(
GetShape
(
tt
->
shape
),
tt
->
dtype
);
}
else
if
(
const
auto
*
tuple_t
=
call_node
->
checked_type
().
as
<
TupleTypeNode
>
())
{
std
::
vector
<
Type
>
new_fields
;
for
(
auto
field
:
tuple_t
->
fields
)
{
if
(
const
auto
*
tt
=
field
.
as
<
TensorTypeNode
>
())
{
new_fields
.
push_back
(
TensorTypeNode
::
make
(
GetShape
(
tt
->
shape
),
tt
->
dtype
));
}
else
{
new_fields
.
push_back
(
field
);
}
}
call_node_type
=
TupleTypeNode
::
make
(
new_fields
);
}
CHECK
(
call_node
->
op
.
as
<
OpNode
>
())
CHECK
(
call_node
->
op
.
as
<
OpNode
>
())
<<
"Primitive function only allows call into primitive ops"
;
<<
"Primitive function only allows call into primitive ops"
;
Op
op
=
Downcast
<
Op
>
(
call_node
->
op
);
Op
op
=
Downcast
<
Op
>
(
call_node
->
op
);
...
@@ -232,7 +251,7 @@ class ScheduleGetter :
...
@@ -232,7 +251,7 @@ class ScheduleGetter :
Operation
(),
0
));
Operation
(),
0
));
}
else
{
}
else
{
outputs
=
fcompute
[
op
](
call_node
->
attrs
,
inputs
,
outputs
=
fcompute
[
op
](
call_node
->
attrs
,
inputs
,
call_node
->
checked_type
()
,
target_
);
call_node
_type
,
target_
);
}
}
int
op_pattern
=
fpattern
[
op
];
int
op_pattern
=
fpattern
[
op
];
...
...
tests/python/relay/test_backend_compile_engine.py
View file @
d0fe532e
...
@@ -79,8 +79,23 @@ def test_compile_tuple_dup():
...
@@ -79,8 +79,23 @@ def test_compile_tuple_dup():
relay
.
build
(
relay
.
Module
.
from_expr
(
f
),
'llvm'
)
relay
.
build
(
relay
.
Module
.
from_expr
(
f
),
'llvm'
)
def
test_compile_full
():
# Shape calculations can happen in int64. The test checks that full operator
# can handle when shapes are not int32
shape
=
(
tvm
.
expr
.
IntImm
(
'int32'
,
1
),
tvm
.
expr
.
IntImm
(
'int64'
,
16
),
tvm
.
expr
.
IntImm
(
'int64'
,
16
),
tvm
.
expr
.
IntImm
(
'int32'
,
64
))
output
=
relay
.
full
(
relay
.
const
(
0
,
'int32'
),
shape
=
shape
,
dtype
=
'int32'
)
f
=
relay
.
Function
([],
output
)
mod
=
relay
.
Module
.
from_expr
(
f
)
mod
=
relay
.
qnn
.
transform
.
CanonicalizeOps
()(
mod
)
relay
.
build
(
mod
,
'llvm'
)
if
__name__
==
"__main__"
:
if
__name__
==
"__main__"
:
test_compile_engine
()
test_compile_engine
()
test_compile_placeholder_bypass
()
test_compile_placeholder_bypass
()
test_compile_injective_with_tuple
()
test_compile_injective_with_tuple
()
test_compile_tuple_dup
()
test_compile_tuple_dup
()
test_compile_full
()
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