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pycodegen
pystencils_autodiff
Commits
982a35ce
Commit
982a35ce
authored
5 years ago
by
Stephan Seitz
Browse files
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Plain Diff
Fix issue with flag field
parent
1e7dfcbd
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Pipeline
#21587
failed
5 years ago
Stage: test
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2
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2 changed files
src/pystencils_autodiff/walberla.py
+22
-64
22 additions, 64 deletions
src/pystencils_autodiff/walberla.py
tests/test_walberla.py
+1
-3
1 addition, 3 deletions
tests/test_walberla.py
with
23 additions
and
67 deletions
src/pystencils_autodiff/walberla.py
+
22
−
64
View file @
982a35ce
...
...
@@ -12,6 +12,7 @@ from abc import ABC
from
os.path
import
dirname
,
join
import
jinja2
import
numpy
as
np
import
sympy
as
sp
from
stringcase
import
camelcase
,
pascalcase
...
...
@@ -208,7 +209,7 @@ BlockDataID {{ field_name }}_data_gpu = cuda::addGPUFieldToStorage<{{ field_type
{{ usePitchedMem }} );
{%- else -%}
BlockDataID {{ field_name }}_data = field::addToStorage<{{ field_type }}>( {{ block_forest }},
"
{{ field_name }}
"
"
{{ field_name }}
"
{%- if init_value -%} , {{ init_value }}{% endif %}
{%- if layout -%} , {{ layout }}{% endif %}
{%- if num_ghost_layers -%}, {{ num_ghost_layers }} {% endif %}
...
...
@@ -216,7 +217,7 @@ BlockDataID {{ field_name }}_data = field::addToStorage<{{ field_type }}>( {{ bl
{%- endif %}
"""
)
# noqa
def
__init__
(
self
,
block_forest
,
field
,
on_gpu
=
False
,
usePitchedMem
=
True
,
num_ghost_layers
=
1
):
def
__init__
(
self
,
block_forest
,
field
,
on_gpu
=
False
,
usePitchedMem
=
True
,
num_ghost_layers
=
1
,
):
self
.
_symbol
=
TypedSymbol
(
field
.
name
+
(
'
_data_gpu
'
if
on_gpu
else
'
_data
'
),
'
BlockDataID
'
)
ast_dict
=
{
'
block_forest
'
:
block_forest
,
...
...
@@ -247,6 +248,13 @@ BlockDataID {{ field_name }}_data = field::addToStorage<{{ field_type }}>( {{ bl
else
[
'"
field/AddToStorage.h
"'
])
class
FlagFieldAllocation
(
FieldAllocation
):
"""
We need this special class to pass waLBerla
'
s runtime type checks
"""
TEMPLATE
=
jinja2
.
Template
(
"""
BlockDataID {{ field_name }}_data = field::addFlagFieldToStorage<FlagField_T>({{ block_forest }},
"
{{ field_name }}
"
);
"""
)
# noqa
class
WalberlaVector
(
JinjaCppFile
):
TEMPLATE
=
jinja2
.
Template
(
"""
math::Vector{{ndim}}<{{dtype}}>({{offsets}})
"""
)
...
...
@@ -263,65 +271,6 @@ class WalberlaVector(JinjaCppFile):
return
sp
.
Matrix
(
self
.
ast_dict
.
offset
)
class
PdfFieldAllocation
(
FieldAllocation
):
"""
.. code: : cpp
BlockDataID addPdfFieldToStorage(const shared_ptr < BlockStorage_T > & blocks, const std:: string & identifier,
const LatticeModel_T & latticeModel,
const Vector3 < real_t > & initialVelocity, const real_t initialDensity,
const uint_t ghostLayers,
const field:: Layout & layout = field: : zyxf,
const Set < SUID > & requiredSelectors = Set < SUID > : : emptySet(),
const Set < SUID > & incompatibleSelectors = Set < SUID > : : emptySet() )
"""
TEMPLATE
=
jinja2
.
Template
(
"""
BlockDataID {{field_name}}_data = lbm::field::addPdfFieldToStorage < {{ field_type }} > ({{ block_forest }},
{{field_name}},
{{lattice_model}}
{%- if initial_velocity -%} , {{initial_velocity }} {% endif %}
{%- if initial_density -%} , {{initial_density }} {% endif %}
{%- if num_ghost_layers -%}, {{num_ghost_layers }} {% endif %});
"""
)
# noqa
def
__init__
(
self
,
block_forest
,
field
,
lattice_model
,
initial_velocity
=
None
,
initial_density
=
None
,
on_gpu
=
False
):
super
().
__init__
(
block_forest
,
field
,
on_gpu
)
if
initial_velocity
and
not
isinstance
(
initial_velocity
,
WalberlaVector
):
initial_velocity
=
WalberlaVector
(
initial_velocity
)
self
.
ast_dict
.
update
({
'
initial_density
'
:
initial_density
,
'
lattice_model
'
:
lattice_model
,
'
initial_velocity
'
:
initial_velocity
,
})
headers
=
[
'"
lbm/field/AddToStorage.h
"'
]
class
FlagFieldAllocation
(
FieldAllocation
):
"""
.. code: : cpp
template< typename FlagField_T, typename BlockStorage_T >
BlockDataID addFlagFieldToStorage( const shared_ptr< BlockStorage_T > & blocks,
const std::string & identifier,
const uint_t nrOfGhostLayers = uint_t(1),
const bool alwaysInitialize = false,
const std::function< void ( FlagField_T * field, IBlock * const block ) > & initFunction =
std::function< void ( FlagField_T * field, IBlock * const block ) >(),
const Set<SUID> & requiredSelectors = Set<SUID>::emptySet(),
const Set<SUID> & incompatibleSelectors = Set<SUID>::emptySet() )
"""
# noqa
TEMPLATE
=
jinja2
.
Template
(
"""
BlockDataID {{field_name}}_data = field::addFlagFieldToStorage < {{ field_type }} > ({{ block_forest }},
{{field_name}}
{%- if num_ghost_layers -%}, {{num_ghost_layers }} {% endif %});
"""
)
# noqa
def
__init__
(
self
,
block_forest
,
field
,
on_gpu
=
False
):
super
().
__init__
(
block_forest
,
field
,
on_gpu
)
headers
=
[
'"
field/AddToStorage.h
"'
]
class
FlagUidDefinition
(
JinjaCppFile
):
TEMPLATE
=
jinja2
.
Template
(
'
const FlagUID {{ name }}FlagUID(
"
{{ name }}
"
);
'
)
...
...
@@ -693,6 +642,15 @@ class DefineKernelObjects(JinjaCppFile):
JinjaCppFile
.
__init__
(
self
,
ast_dict
)
def
_allocate_field
(
block_forest
,
field
,
on_gpu
):
# TODO: hack!
if
np
.
issubdtype
(
field
.
dtype
.
numpy_dtype
,
np
.
integer
)
and
'
flag
'
in
field
.
name
.
lower
():
assert
on_gpu
is
False
return
FlagFieldAllocation
(
block_forest
,
field
)
else
:
return
FieldAllocation
(
block_forest
,
field
,
on_gpu
=
on_gpu
)
class
AllocateAllFields
(
JinjaCppFile
):
TEMPLATE
=
jinja2
.
Template
(
"""
...
...
@@ -731,13 +689,13 @@ class AllocateAllFields(JinjaCppFile):
@property
def
_cpu_allocations
(
self
):
return
{
s
:
FieldAllocation
(
self
.
block_forest
,
self
.
data_handling
.
fields
[
s
])
return
{
s
:
_allocate_field
(
self
.
block_forest
,
self
.
data_handling
.
fields
[
s
]
,
on_gpu
=
False
)
for
s
in
self
.
data_handling
.
cpu_arrays
.
keys
()}
# if not (self.data_handling.fields[s].index_shape == self.lb_index_shape)}
@property
def
_gpu_allocations
(
self
):
return
{
s
:
FieldAllocation
(
self
.
block_forest
,
self
.
data_handling
.
fields
[
s
],
on_gpu
=
True
)
return
{
s
:
_allocate_field
(
self
.
block_forest
,
self
.
data_handling
.
fields
[
s
],
on_gpu
=
True
)
for
s
in
self
.
data_handling
.
gpu_arrays
.
keys
()}
# if not (self.data_handling.fields[s].index_shape == self.lb_index_shape)}
...
...
@@ -914,7 +872,7 @@ static inline auto sweep(walberla::shared_ptr<BlockStorage_T> blocks, Functor_T
class
FieldCopy
(
JinjaCppFile
):
TEMPLATE
=
jinja2
.
Template
(
"""
cuda::fieldCpy
< {{src_type }}, {{dst_type }} > ({{block_forest }}, {{src_id }}, {{dst_id }});
"""
)
# noqa
TEMPLATE
=
jinja2
.
Template
(
"""
cuda::fieldCpy< {{src_type }}, {{dst_type }} > ({{block_forest }}, {{src_id }}, {{dst_id }});
"""
)
# noqa
def
__init__
(
self
,
block_forest
,
src_id
,
src_field
,
src_gpu
,
dst_id
,
dst_field
,
dst_gpu
):
src_type
=
_make_field_type
(
src_field
,
src_gpu
)
...
...
This diff is collapsed.
Click to expand it.
tests/test_walberla.py
+
1
−
3
View file @
982a35ce
...
...
@@ -19,7 +19,7 @@ from pystencils.data_types import TypedSymbol, create_type
from
pystencils_autodiff._file_io
import
write_file
from
pystencils_autodiff.graph_datahandling
import
GraphDataHandling
from
pystencils_autodiff.walberla
import
(
DefinitionsHeader
,
FieldAllocation
,
FlagFieldAllocation
,
GetParameter
,
PdfFieldAllocation
,
DefinitionsHeader
,
FieldAllocation
,
FlagFieldAllocation
,
GetParameter
,
ResolveUndefinedSymbols
,
UniformBlockforestFromConfig
,
WalberlaMain
,
WalberlaModule
)
from
pystencils_autodiff.wald_und_wiesen_simulation
import
WaldUndWiesenSimulation
from
pystencils_walberla.cmake_integration
import
ManualCodeGenerationContext
...
...
@@ -44,8 +44,6 @@ def test_walberla():
SympyAssignment
(
crazy_plus_one
,
number_symbol
+
1
),
EmptyLine
(),
FieldAllocation
(
block_forest
.
blocks
,
x
,
on_gpu
=
False
),
PdfFieldAllocation
(
block_forest
.
blocks
,
pdf
,
'
LbModel_T
'
,
on_gpu
=
True
),
PdfFieldAllocation
(
block_forest
.
blocks
,
pdf2
,
'
LbModel_T
'
,
[
0
,
0
,
0
],
1
,
on_gpu
=
True
),
FlagFieldAllocation
(
block_forest
.
blocks
,
flags
)
])
...
...
This diff is collapsed.
Click to expand it.
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