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Jonas Plewinski
pystencils
Commits
19f54169
Commit
19f54169
authored
Jul 15, 2019
by
Stephan Seitz
Browse files
Allow custom backends for cpujit and gpujit
parent
8a651aa4
Changes
3
Hide whitespace changes
Inline
Side-by-side
pystencils/backends/cbackend.py
View file @
19f54169
...
...
@@ -37,7 +37,7 @@ class UnsupportedCDialect(Exception):
super
(
UnsupportedCDialect
,
self
).
__init__
()
def
generate_c
(
ast_node
:
Node
,
signature_only
:
bool
=
False
,
dialect
=
'c'
)
->
str
:
def
generate_c
(
ast_node
:
Node
,
signature_only
:
bool
=
False
,
dialect
=
'c'
,
custom_backend
=
None
)
->
str
:
"""Prints an abstract syntax tree node as C or CUDA code.
This function does not need to distinguish between C, C++ or CUDA code, it just prints 'C-like' code as encoded
...
...
@@ -57,8 +57,9 @@ def generate_c(ast_node: Node, signature_only: bool = False, dialect='c') -> str
ast_node
.
global_variables
.
update
(
d
.
symbols_defined
)
else
:
ast_node
.
global_variables
=
d
.
symbols_defined
if
dialect
==
'c'
:
if
custom_backend
:
printer
=
custom_backend
elif
dialect
==
'c'
:
printer
=
CBackend
(
signature_only
=
signature_only
,
vector_instruction_set
=
ast_node
.
instruction_set
)
elif
dialect
==
'cuda'
:
...
...
pystencils/cpu/cpujit.py
View file @
19f54169
...
...
@@ -43,28 +43,28 @@ Then 'cl.exe' is used to compile.
For Windows compilers the qualifier should be ``__restrict``
"""
import
os
import
hashlib
import
json
import
os
import
platform
import
shutil
import
subprocess
import
textwrap
from
collections
import
OrderedDict
from
sysconfig
import
get_paths
from
tempfile
import
TemporaryDirectory
import
numpy
as
np
import
subprocess
from
appdirs
import
user_config_dir
,
user_cache_dir
from
collections
import
OrderedDict
from
appdirs
import
user_cache_dir
,
user_config_dir
from
pystencils.utils
import
recursive_dict_update
from
sysconfig
import
get_paths
from
pystencils
import
FieldType
from
pystencils.backends.cbackend
import
generate_c
,
get_headers
from
pystencils.utils
import
file_handle_for_atomic_write
,
atomic_file_write
from
pystencils.include
import
get_pystencils_include_path
from
pystencils.utils
import
(
atomic_file_write
,
file_handle_for_atomic_write
,
recursive_dict_update
)
def
make_python_function
(
kernel_function_node
):
def
make_python_function
(
kernel_function_node
,
custom_backend
=
None
):
"""
Creates C code from the abstract syntax tree, compiles it and makes it accessible as Python function
...
...
@@ -75,7 +75,7 @@ def make_python_function(kernel_function_node):
:param kernel_function_node: the abstract syntax tree
:return: kernel functor
"""
result
=
compile_and_load
(
kernel_function_node
)
result
=
compile_and_load
(
kernel_function_node
,
custom_backend
)
return
result
...
...
@@ -424,11 +424,12 @@ def run_compile_step(command):
class
ExtensionModuleCode
:
def
__init__
(
self
,
module_name
=
'generated'
):
def
__init__
(
self
,
module_name
=
'generated'
,
custom_backend
=
None
):
self
.
module_name
=
module_name
self
.
_ast_nodes
=
[]
self
.
_function_names
=
[]
self
.
_custom_backend
=
custom_backend
def
add_function
(
self
,
ast
,
name
=
None
):
self
.
_ast_nodes
.
append
(
ast
)
...
...
@@ -452,7 +453,7 @@ class ExtensionModuleCode:
for
ast
,
name
in
zip
(
self
.
_ast_nodes
,
self
.
_function_names
):
old_name
=
ast
.
function_name
ast
.
function_name
=
"kernel_"
+
name
print
(
generate_c
(
ast
),
file
=
file
)
print
(
generate_c
(
ast
,
custom_backend
=
self
.
_custom_backend
),
file
=
file
)
print
(
create_function_boilerplate_code
(
ast
.
get_parameters
(),
name
),
file
=
file
)
ast
.
function_name
=
old_name
print
(
create_module_boilerplate_code
(
self
.
module_name
,
self
.
_function_names
),
file
=
file
)
...
...
@@ -515,10 +516,11 @@ def compile_module(code, code_hash, base_dir):
return
lib_file
def
compile_and_load
(
ast
):
def
compile_and_load
(
ast
,
custom_backend
=
None
):
cache_config
=
get_cache_config
()
code_hash_str
=
"mod_"
+
hashlib
.
sha256
(
generate_c
(
ast
,
dialect
=
'c'
).
encode
()).
hexdigest
()
code
=
ExtensionModuleCode
(
module_name
=
code_hash_str
)
code_hash_str
=
"mod_"
+
hashlib
.
sha256
(
generate_c
(
ast
,
dialect
=
'c'
,
custom_backend
=
custom_backend
).
encode
()).
hexdigest
()
code
=
ExtensionModuleCode
(
module_name
=
code_hash_str
,
custom_backend
=
custom_backend
)
code
.
add_function
(
ast
,
ast
.
function_name
)
if
cache_config
[
'object_cache'
]
is
False
:
...
...
pystencils/gpucuda/cudajit.py
View file @
19f54169
...
...
@@ -9,7 +9,7 @@ from pystencils.include import get_pystencils_include_path
USE_FAST_MATH
=
True
def
make_python_function
(
kernel_function_node
,
argument_dict
=
None
):
def
make_python_function
(
kernel_function_node
,
argument_dict
=
None
,
custom_backend
=
None
):
"""
Creates a kernel function from an abstract syntax tree which
was created e.g. by :func:`pystencils.gpucuda.create_cuda_kernel`
...
...
@@ -35,7 +35,7 @@ def make_python_function(kernel_function_node, argument_dict=None):
code
=
includes
+
"
\n
"
code
+=
"#define FUNC_PREFIX __global__
\n
"
code
+=
"#define RESTRICT __restrict__
\n\n
"
code
+=
str
(
generate_c
(
kernel_function_node
,
dialect
=
'cuda'
))
code
+=
str
(
generate_c
(
kernel_function_node
,
dialect
=
'cuda'
,
custom_backend
=
custom_backend
))
options
=
[
"-w"
,
"-std=c++11"
,
"-Wno-deprecated-gpu-targets"
]
if
USE_FAST_MATH
:
options
.
append
(
"-use_fast_math"
)
...
...
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