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submodule
ngraph
Commits
961b4e0a
Commit
961b4e0a
authored
Sep 05, 2017
by
Scott Cyphers
Committed by
GitHub
Sep 05, 2017
Browse files
Options
Browse Files
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Plain Diff
Merge pull request #80 from NervanaSystems/cyphers/sizes
Fix/sanitize type comparisons, add test
parents
3c815ee4
27d4f16a
Show whitespace changes
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Showing
10 changed files
with
76 additions
and
19 deletions
+76
-19
element_type.hpp
src/ngraph/element_type.hpp
+4
-0
node.cpp
src/ngraph/node.cpp
+11
-0
node.hpp
src/ngraph/node.hpp
+6
-0
parameter.hpp
src/ngraph/ops/parameter.hpp
+2
-2
type.hpp
src/ngraph/type.hpp
+4
-4
broadcast.cpp
src/ops/broadcast.cpp
+1
-3
dot.cpp
src/ops/dot.cpp
+1
-1
parameter.cpp
src/ops/parameter.cpp
+1
-1
type.cpp
src/types/type.cpp
+4
-4
build_graph.cpp
test/build_graph.cpp
+42
-4
No files found.
src/ngraph/element_type.hpp
View file @
961b4e0a
...
@@ -30,6 +30,8 @@ namespace ngraph
...
@@ -30,6 +30,8 @@ namespace ngraph
{
{
class
Type
class
Type
{
{
Type
(
const
Type
&
)
=
delete
;
Type
&
operator
=
(
const
Type
&
)
=
delete
;
public
:
public
:
Type
(
size_t
bitwidth
,
bool
is_float
,
bool
is_signed
,
const
std
::
string
&
cname
);
Type
(
size_t
bitwidth
,
bool
is_float
,
bool
is_signed
,
const
std
::
string
&
cname
);
...
@@ -75,6 +77,8 @@ namespace ngraph
...
@@ -75,6 +77,8 @@ namespace ngraph
template
<
typename
T
>
template
<
typename
T
>
class
TraitedType
:
public
Type
class
TraitedType
:
public
Type
{
{
TraitedType
(
const
TraitedType
&
)
=
delete
;
TraitedType
&
operator
=
(
const
TraitedType
&
)
=
delete
;
protected
:
protected
:
TraitedType
()
TraitedType
()
:
Type
(
sizeof
(
T
)
*
8
,
:
Type
(
sizeof
(
T
)
*
8
,
...
...
src/ngraph/node.cpp
View file @
961b4e0a
...
@@ -30,6 +30,17 @@ ngraph::Node::Node(const std::vector<std::shared_ptr<Node>>& arguments,
...
@@ -30,6 +30,17 @@ ngraph::Node::Node(const std::vector<std::shared_ptr<Node>>& arguments,
}
}
}
}
void
ngraph
::
Node
::
set_value_type_checked
(
const
std
::
shared_ptr
<
ValueType
>&
value_type
)
{
if
(
nullptr
==
m_value_type
){
m_value_type
=
value_type
;
}
else
{
if
(
*
m_value_type
!=
*
value_type
){
throw
ngraph
::
ngraph_error
(
"Setting value type to a different ValueType"
);
}
}
}
bool
ngraph
::
Node
::
is_op
()
const
bool
ngraph
::
Node
::
is_op
()
const
{
{
return
dynamic_cast
<
const
ngraph
::
Op
*>
(
this
)
!=
nullptr
;
return
dynamic_cast
<
const
ngraph
::
Op
*>
(
this
)
!=
nullptr
;
...
...
src/ngraph/node.hpp
View file @
961b4e0a
...
@@ -83,6 +83,12 @@ namespace ngraph
...
@@ -83,6 +83,12 @@ namespace ngraph
m_value_type
=
value_type
;
m_value_type
=
value_type
;
}
}
// Set the value type if it has not already been set; otherwise, ensure that
// value_type agrees with the value type that was set.
// This is used when the framework specifies a value type for the value, and we
// independently compute what we thing the value type should be from the arguments.
void
set_value_type_checked
(
const
std
::
shared_ptr
<
ValueType
>&
value_type
);
bool
is_op
()
const
;
bool
is_op
()
const
;
bool
is_parameter
()
const
;
bool
is_parameter
()
const
;
...
...
src/ngraph/ops/parameter.hpp
View file @
961b4e0a
...
@@ -37,8 +37,8 @@ namespace ngraph
...
@@ -37,8 +37,8 @@ namespace ngraph
void
assign_function
(
Function
*
function
,
size_t
index
);
void
assign_function
(
Function
*
function
,
size_t
index
);
public
:
public
:
Parameter
(
const
std
::
shared_ptr
<
ValueType
>&
value_type
);
Parameter
(
const
std
::
shared_ptr
<
ValueType
>&
value_type
=
nullptr
);
Parameter
(
const
ngraph
::
element
::
Type
element_type
,
const
Shape
&
shape
);
Parameter
(
const
ngraph
::
element
::
Type
&
element_type
,
const
Shape
&
shape
);
std
::
string
description
()
const
override
{
return
"Parameter"
;
}
std
::
string
description
()
const
override
{
return
"Parameter"
;
}
virtual
void
propagate_types
()
override
;
virtual
void
propagate_types
()
override
;
...
...
src/ngraph/type.hpp
View file @
961b4e0a
...
@@ -32,8 +32,8 @@ namespace ngraph
...
@@ -32,8 +32,8 @@ namespace ngraph
{
{
public
:
public
:
virtual
~
ValueType
()
{}
virtual
~
ValueType
()
{}
virtual
bool
operator
==
(
const
std
::
shared_ptr
<
ValueType
>
&
that
)
const
=
0
;
virtual
bool
operator
==
(
const
ValueType
&
that
)
const
=
0
;
bool
operator
!=
(
const
std
::
shared_ptr
<
ValueType
>
&
that
)
const
{
return
!
(
*
this
==
that
);
}
bool
operator
!=
(
const
ValueType
&
that
)
const
{
return
!
(
*
this
==
that
);
}
};
};
/// Describes a tensor view; an element type and a shape.
/// Describes a tensor view; an element type and a shape.
...
@@ -51,7 +51,7 @@ namespace ngraph
...
@@ -51,7 +51,7 @@ namespace ngraph
const
element
::
Type
&
get_element_type
()
const
{
return
m_element_type
;
}
const
element
::
Type
&
get_element_type
()
const
{
return
m_element_type
;
}
const
Shape
&
get_shape
()
const
{
return
m_shape
;
}
const
Shape
&
get_shape
()
const
{
return
m_shape
;
}
virtual
bool
operator
==
(
const
std
::
shared_ptr
<
ValueType
>
&
that
)
const
override
;
virtual
bool
operator
==
(
const
ValueType
&
that
)
const
override
;
protected
:
protected
:
const
element
::
Type
&
m_element_type
;
const
element
::
Type
&
m_element_type
;
...
@@ -77,7 +77,7 @@ namespace ngraph
...
@@ -77,7 +77,7 @@ namespace ngraph
}
}
std
::
vector
<
std
::
shared_ptr
<
ValueType
>>
set_element_types
()
{
return
m_element_types
;
}
std
::
vector
<
std
::
shared_ptr
<
ValueType
>>
set_element_types
()
{
return
m_element_types
;
}
virtual
bool
operator
==
(
const
std
::
shared_ptr
<
ValueType
>
&
that
)
const
override
;
virtual
bool
operator
==
(
const
ValueType
&
that
)
const
override
;
protected
:
protected
:
std
::
vector
<
std
::
shared_ptr
<
ValueType
>>
m_element_types
;
std
::
vector
<
std
::
shared_ptr
<
ValueType
>>
m_element_types
;
...
...
src/ops/broadcast.cpp
View file @
961b4e0a
...
@@ -38,7 +38,5 @@ void Broadcast::propagate_types()
...
@@ -38,7 +38,5 @@ void Broadcast::propagate_types()
{
{
throw
ngraph_error
(
"Broadcast arg, shape, and axes are incompatible"
);
throw
ngraph_error
(
"Broadcast arg, shape, and axes are incompatible"
);
}
}
// TODO If m_type is already set (by framework), this should verify that the type
set_value_type_checked
(
make_shared
<
TensorViewType
>
(
arg_tensor_view_type
->
get_element_type
(),
m_shape
));
// we expect is consistent with the type the framework expects.
m_value_type
=
make_shared
<
TensorViewType
>
(
arg_tensor_view_type
->
get_element_type
(),
m_shape
);
}
}
src/ops/dot.cpp
View file @
961b4e0a
...
@@ -56,5 +56,5 @@ void Dot::propagate_types()
...
@@ -56,5 +56,5 @@ void Dot::propagate_types()
copy
(
arg0_shape
.
begin
(),
arg0_shape
.
begin
()
+
arg1_reduction
,
result_shape
.
end
());
copy
(
arg0_shape
.
begin
(),
arg0_shape
.
begin
()
+
arg1_reduction
,
result_shape
.
end
());
copy
(
arg1_shape
.
begin
(),
arg1_shape
.
begin
()
+
arg1_reduction
,
result_shape
.
end
());
copy
(
arg1_shape
.
begin
(),
arg1_shape
.
begin
()
+
arg1_reduction
,
result_shape
.
end
());
copy
(
arg1_shape
.
begin
()
+
arg1_reduction
,
arg1_shape
.
end
(),
result_shape
.
end
());
copy
(
arg1_shape
.
begin
()
+
arg1_reduction
,
arg1_shape
.
end
(),
result_shape
.
end
());
m_value_type
=
make_shared
<
TensorViewType
>
(
arg0_tensor_type
->
get_element_type
(),
result_shape
);
set_value_type_checked
(
make_shared
<
TensorViewType
>
(
arg0_tensor_type
->
get_element_type
(),
result_shape
)
);
}
}
src/ops/parameter.cpp
View file @
961b4e0a
...
@@ -26,7 +26,7 @@ Parameter::Parameter(const std::shared_ptr<ValueType>& value_type)
...
@@ -26,7 +26,7 @@ Parameter::Parameter(const std::shared_ptr<ValueType>& value_type)
{
{
}
}
Parameter
::
Parameter
(
const
ngraph
::
element
::
Type
element_type
,
const
Shape
&
shape
)
Parameter
::
Parameter
(
const
ngraph
::
element
::
Type
&
element_type
,
const
Shape
&
shape
)
:
Parameter
(
make_shared
<
TensorViewType
>
(
element_type
,
shape
))
:
Parameter
(
make_shared
<
TensorViewType
>
(
element_type
,
shape
))
{
{
}
}
...
...
src/types/type.cpp
View file @
961b4e0a
...
@@ -19,9 +19,9 @@
...
@@ -19,9 +19,9 @@
using
namespace
std
;
using
namespace
std
;
using
namespace
ngraph
;
using
namespace
ngraph
;
bool
TensorViewType
::
operator
==
(
const
std
::
shared_ptr
<
ValueType
>
&
that
)
const
bool
TensorViewType
::
operator
==
(
const
ValueType
&
that
)
const
{
{
auto
that_tvt
=
dynamic_
pointer_cast
<
TensorViewType
>
(
that
);
auto
that_tvt
=
dynamic_
cast
<
const
TensorViewType
*>
(
&
that
);
if
(
nullptr
==
that_tvt
)
if
(
nullptr
==
that_tvt
)
{
{
return
false
;
return
false
;
...
@@ -37,9 +37,9 @@ bool TensorViewType::operator==(const std::shared_ptr<ValueType>& that) const
...
@@ -37,9 +37,9 @@ bool TensorViewType::operator==(const std::shared_ptr<ValueType>& that) const
return
true
;
return
true
;
}
}
bool
TupleType
::
operator
==
(
const
std
::
shared_ptr
<
ValueType
>
&
that
)
const
bool
TupleType
::
operator
==
(
const
ValueType
&
that
)
const
{
{
auto
that_tvt
=
dynamic_
pointer_cast
<
TupleType
>
(
that
);
auto
that_tvt
=
dynamic_
cast
<
const
TupleType
*>
(
&
that
);
if
(
nullptr
==
that_tvt
)
if
(
nullptr
==
that_tvt
)
{
{
return
false
;
return
false
;
...
...
test/build_graph.cpp
View file @
961b4e0a
...
@@ -81,7 +81,7 @@ TEST(build_graph, literal)
...
@@ -81,7 +81,7 @@ TEST(build_graph, literal)
auto
float0
=
make_shared
<
op
::
Float32ScalarConstant
>
(
3.0
);
auto
float0
=
make_shared
<
op
::
Float32ScalarConstant
>
(
3.0
);
auto
float_scalar_type
=
make_shared
<
TensorViewType
>
(
element
::
Float32
::
element_type
(),
Shape
{});
auto
float_scalar_type
=
make_shared
<
TensorViewType
>
(
element
::
Float32
::
element_type
(),
Shape
{});
ASSERT_EQ
(
float0
->
get_value
(),
3.0
);
ASSERT_EQ
(
float0
->
get_value
(),
3.0
);
ASSERT_EQ
(
*
float0
->
get_value_type
(),
float_scalar_type
);
ASSERT_EQ
(
*
float0
->
get_value_type
(),
*
float_scalar_type
);
auto
d
=
make_shared
<
op
::
Dot
>
(
float0
,
float0
);
auto
d
=
make_shared
<
op
::
Dot
>
(
float0
,
float0
);
ASSERT_EQ
(
d
->
get_arguments
().
at
(
0
),
float0
);
ASSERT_EQ
(
d
->
get_arguments
().
at
(
0
),
float0
);
ASSERT_EQ
(
d
->
get_arguments
().
at
(
1
),
float0
);
ASSERT_EQ
(
d
->
get_arguments
().
at
(
1
),
float0
);
...
@@ -89,13 +89,51 @@ TEST(build_graph, literal)
...
@@ -89,13 +89,51 @@ TEST(build_graph, literal)
// float scalar from an int
// float scalar from an int
auto
float1
=
make_shared
<
op
::
Float32ScalarConstant
>
(
3
);
auto
float1
=
make_shared
<
op
::
Float32ScalarConstant
>
(
3
);
ASSERT_EQ
(
float1
->
get_value
(),
3
);
ASSERT_EQ
(
float1
->
get_value
(),
3
);
ASSERT_EQ
(
*
float1
->
get_value_type
(),
float_scalar_type
);
ASSERT_EQ
(
*
float1
->
get_value_type
(),
*
float_scalar_type
);
auto
int32_0
=
make_shared
<
op
::
Int32ScalarConstant
>
(
3.0
);
auto
int32_0
=
make_shared
<
op
::
Int32ScalarConstant
>
(
3.0
);
auto
int32_scalar_type
=
make_shared
<
TensorViewType
>
(
element
::
Int32
::
element_type
(),
Shape
{});
auto
int32_scalar_type
=
make_shared
<
TensorViewType
>
(
element
::
Int32
::
element_type
(),
Shape
{});
ASSERT_EQ
(
int32_0
->
get_value
(),
3
);
ASSERT_EQ
(
int32_0
->
get_value
(),
3
);
ASSERT_EQ
(
*
int32_0
->
get_value_type
(),
int32_scalar_type
);
ASSERT_EQ
(
*
int32_0
->
get_value_type
(),
*
int32_scalar_type
);
ASSERT_NE
(
*
int32_0
->
get_value_type
(),
float_scalar_type
);
ASSERT_NE
(
*
int32_0
->
get_value_type
(),
*
float_scalar_type
);
}
TEST
(
build_graph
,
set_value_type_checked
)
{
auto
untyped_param
=
make_shared
<
op
::
Parameter
>
();
try
{
untyped_param
->
set_value_type_checked
(
make_shared
<
TensorViewType
>
(
element
::
Float32
::
element_type
(),
Shape
{
4
,
4
}));
}
catch
(...){
FAIL
()
<<
"Setting value type for first time type failed."
;
}
try
{
untyped_param
->
set_value_type_checked
(
make_shared
<
TensorViewType
>
(
element
::
Float32
::
element_type
(),
Shape
{
4
,
4
}));
}
catch
(...){
FAIL
()
<<
"Setting value type to same type failed."
;
}
try
{
untyped_param
->
set_value_type_checked
(
make_shared
<
TensorViewType
>
(
element
::
Float32
::
element_type
(),
Shape
{
4
,
5
}));
FAIL
()
<<
"Setting value type to a different shape did not fail."
;
}
catch
(
const
ngraph_error
&
error
){
EXPECT_EQ
(
error
.
what
(),
std
::
string
(
"Setting value type to a different ValueType"
));
}
catch
(...){
FAIL
()
<<
"Setting value type to a different shape did not failed with incorrect error."
;
}
try
{
untyped_param
->
set_value_type_checked
(
make_shared
<
TensorViewType
>
(
element
::
Int32
::
element_type
(),
Shape
{
4
,
4
}));
FAIL
()
<<
"Setting value type to a different element type did not fail."
;
}
catch
(
const
ngraph_error
&
error
){
EXPECT_EQ
(
error
.
what
(),
std
::
string
(
"Setting value type to a different ValueType"
));
}
catch
(...){
FAIL
()
<<
"Setting value type to a different element type did not failed with incorrect error."
;
}
auto
param
=
make_shared
<
op
::
Parameter
>
(
element
::
Float32
::
element_type
(),
Shape
{
4
,
4
});
try
{
param
->
set_value_type_checked
(
make_shared
<
TensorViewType
>
(
element
::
Float32
::
element_type
(),
Shape
{
4
,
4
}));
}
catch
(...){
FAIL
()
<<
"Setting value type to same type failed."
;
}
}
}
// Check argument inverses
// Check argument inverses
...
...
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