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pytensor
Commits
a81b5cdc
提交
a81b5cdc
authored
8月 30, 2014
作者:
Frédéric Bastien
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差异文件
Merge pull request #2061 from abergeron/struct_support
Struct support
上级
62c24b4b
fdc3cf54
全部展开
隐藏空白字符变更
内嵌
并排
正在显示
6 个修改的文件
包含
192 行增加
和
57 行删除
+192
-57
cop.txt
doc/extending/cop.txt
+108
-36
cc.py
theano/gof/cc.py
+39
-18
cmodule.py
theano/gof/cmodule.py
+1
-3
op.py
theano/gof/op.py
+0
-0
test_op.py
theano/gof/tests/test_op.py
+40
-0
basic_ops.py
theano/sandbox/gpuarray/basic_ops.py
+4
-0
没有找到文件。
doc/extending/cop.txt
浏览文件 @
a81b5cdc
...
...
@@ -31,76 +31,148 @@ There are less methods to define for an Op than for a Type:
.. method:: c_code(node, name, input_names, output_names, sub)
This must return C code that carries the computation we want to do.
This must return C code that carries the computation we want to
do.
sub is a dictionary of strings for you to substitute into your code.
It's not clear if it ever contains anything other than 'fail'.
sub['fail'] is a string of code that you should execute (after calling
PyErr_Format) if your C code needs to raise an exception.
`sub` is a dictionary of extras parameters to the c_code
method. It contains the following values:
``sub['fail']``
A string of code that you should execute (after ensuring
that a python exception is set) if your C code needs to
raise an exception.
``sub['struct_id']``
The integer id passed to the various _struct methods.
.. method:: c_code_cleanup(node, name, input_names, output_names, sub)
This must return C code that cleans up whatever c_code allocated and
that we must free.
This must return C code that cleans up whatever c_code
allocated and
that we must free.
*Default:* The default behavior is to do nothing.
*Default:* The default behavior is to do nothing.
.. method:: c_headers()
Returns a list of headers to include in the file. 'Python.h' is
included by default so you don't need to specify it. Also all
of the header required by the Types involved (inputs and
outputs) will also be included.
.. method:: c_header_dirs()
Returns a list of directories to search for headers (arguments
to -I).
.. method:: c_libraries()
Returns a list of library names that your op needs to link to.
All ops are automatically linked with 'python' and the
libraries their types require. (arguments to -l)
.. method:: c_lib_dirs()
Allows you to specify headers, libraries, and their directories,
Returns a list of directory to search for libraries (arguments
to -L).
.. method:: c_compile_args()
Allows to specify additional arbitrary arguments to g++. This
is not usually required.
.. method:: c_no_compile_args()
Allows you to specify special g++ arguments to add/exclude
Returns a list of g++ arguments that are forbidden when
compiling this Op.
.. method:: c_init_code()
Allows you to specify code that will be executed once when the
module is initialized, before anything else is executed.
Allows you to specify code that will be executed once when the
module is initialized, before anything else is executed. This
is for code that will be executed once per Op.
.. method:: c_init_code_apply(node, name)
.. method:: c_init_code_apply(self, node, name)
Allows you to specify code that will be executed once when the
module is initialized, before anything else is executed and is
specialized for a particular apply of an :ref:`op`.
Allows you to specify code that will be executed once when the
module is initialized, before anything else is executed and is
specialized for a particular apply of an :ref:`op`. Use
`c_init_code` if the code is the same for each apply of an op.
.. method:: c_init_code_struct(node, struct_id)
Allows you to specify code that will be inserted in the struct
constructor of the Op. This is for code which should be
executed once per thunk (Apply node, more or less).
`struct_id` is an integer guaranteed to be unique inside the
struct.
.. method:: c_support_code()
Allows you to specify helper functions/structs that the
:ref:`op` needs. That code will be reused for each apply of
this op. It will be inserted at global scope.
Allows you to specify helper functions/structs that the
:ref:`op` needs. That code will be reused for each apply of
this op. It will be inserted at global scope.
.. method:: c_support_code_apply(node, name)
Allows you to specify helper functions/structs specialized for a
particular apply of an :ref:`op`. Use `c_support_code` if the
code is the same for each apply of an op.
It will be inserted at global scope.
Allows you to specify helper functions/structs specialized for
a particular apply of an :ref:`op`. Use :meth:`c_support_code`
if the code is the same for each apply of an op. It will be
inserted at global scope.
.. method:: c_support_code_struct(node, struct_id)
Allows you to specify helper functions of variables that will
be specific to one particular thunk. These are inserted at
struct scope.
`struct_id` is an integer guaranteed to be unique inside the
struct.
:note:
You cannot specify kernels in the code returned by this since
that isn't supported by CUDA. You should place your kernels
in :meth:`c_support_code()` or :meth:`c_support_code_apply()`
and call them from this code.
.. method:: c_cleanup_code_struct(node, struct_id)
Allows you to specify code that will be inserted in the struct
destructor of the Op. This is for cleaninp up allocations and
stuff like this when the thunk is released (when you "free" a
compiled function using this op).
`struct_id` is an integer guaranteed to be unique inside the
struct.
.. method:: infer_shape(node, (i0_shapes,i1_shapes,...))
Allow optimizations to lift the Shape op over this op.
An example of why this is good is when we only need the shape of a
variable: we will be able to obtain it without computing the variable
itself.
Must return a list where each element is a tuple representing the shape
of one output.
For example, for the matrix-matrix product ``infer_shape`` will have as
inputs (node, ((x0,x1), (y0,y1))) and should return [(x0, y1)]. Both the
inputs and the return value may be Theano variables.
Allow optimizations to lift the Shape op over this op. An
example of why this is good is when we only need the shape of a
variable: we will be able to obtain it without computing the
variable itself.
Must return a list where each element is a tuple representing
the shape of one output.
For example, for the matrix-matrix product ``infer_shape`` will
have as inputs (node, ((x0,x1), (y0,y1))) and should return
[(x0, y1)]. Both the inputs and the return value may be Theano
variables.
.. method:: c_code_cache_version()
Should
return a tuple of hashable objects like integers. This
Must
return a tuple of hashable objects like integers. This
specifies the version of the code. It is used to cache the
compiled code. You MUST change the returned tuple for each
change in the code. If you don't want to cache the compiled code
return an empty tuple or don't implement it.
change in the code. If you don't want to cache the compiled
code return an empty tuple or don't implement it.
.. method:: c_code_cache_version_apply(node)
Overrides :meth:`c_code_cache_version` if defined, but
otherwise has the same contract.
The ``name`` argument is currently given an invalid value, so steer
away from it. As was the case with Type, ``sub['fail']`` provides
...
...
theano/gof/cc.py
浏览文件 @
a81b5cdc
...
...
@@ -535,7 +535,6 @@ class CLinker(link.Linker):
for
variable
in
self
.
variables
:
# it might be possible to inline constant variables as C literals
## if getattr(variable, 'constant', False):
# policy = [[what to declare in the struct,
# what to do at construction,
# what to do at destruction],
...
...
@@ -545,9 +544,6 @@ class CLinker(link.Linker):
if
variable
in
self
.
inputs
:
# we need to extract the new inputs at each run
# they do not need to be relayed to Python, so we don't sync
# if isinstance(variable, Constant):
# raise TypeError("Inputs to CLinker cannot be Constant.",
# variable)
policy
=
[[
get_nothing
,
get_nothing
,
get_nothing
],
[
get_c_declare
,
get_c_extract
,
get_c_cleanup
]]
elif
variable
in
self
.
orphans
:
...
...
@@ -619,15 +615,8 @@ class CLinker(link.Linker):
id
+=
2
for
node_num
,
node
in
enumerate
(
self
.
node_order
):
# We populate sub with a mapping from the variable names
# specified by the op's c_var_names method to the actual
# variable names that we will use.
## ivnames, ovnames = op.c_var_names()
# Why is this here?
sub
=
dict
(
failure_var
=
failure_var
)
## for variable, vname in zip(op.inputs + op.outputs,
## ivnames + ovnames):
## sub[vname] = symbol[variable]
# The placeholder will be replaced by a hash of the entire
# code (module + support code) in DynamicModule.code.
...
...
@@ -640,15 +629,15 @@ class CLinker(link.Linker):
isyms
=
[
symbol
[
r
]
for
r
in
node
.
inputs
]
osyms
=
[
symbol
[
r
]
for
r
in
node
.
outputs
]
# c_validate_update is deprecated
if
hasattr
(
node
.
op
,
'c_validate_update'
):
raise
Exception
(
"c_validate_update is deprecated,"
" move contents to c_code"
,
node
.
op
)
# Make the CodeBlock for c_code
sub
[
'id'
]
=
id
sub
[
'struct_id'
]
=
id
+
1
sub
[
'fail'
]
=
failure_code
(
sub
)
struct_support
=
""
struct_init
=
""
struct_cleanup
=
""
op
=
node
.
op
# type-specific support code
try
:
...
...
@@ -661,6 +650,7 @@ class CLinker(link.Linker):
assert
isinstance
(
c_support_code_apply
[
-
1
],
basestring
),
(
str
(
node
.
op
)
+
" didn't return a string for c_support_code_apply"
)
try
:
c_init_code_apply
.
append
(
op
.
c_init_code_apply
(
node
,
name
))
except
utils
.
MethodNotDefined
:
...
...
@@ -670,6 +660,30 @@ class CLinker(link.Linker):
str
(
node
.
op
)
+
" didn't return a string for c_init_code_apply"
)
try
:
struct_init
=
op
.
c_init_code_struct
(
node
,
id
+
1
)
assert
isinstance
(
struct_init
,
basestring
),
(
str
(
node
.
op
)
+
" didn't return a string for c_init_code_struct"
)
except
utils
.
MethodNotDefined
:
pass
try
:
struct_support
=
op
.
c_support_code_struct
(
node
,
id
+
1
)
assert
isinstance
(
struct_support
,
basestring
),
(
str
(
node
.
op
)
+
" didn't return a string for c_support_code_struct"
)
except
utils
.
MethodNotDefined
:
pass
try
:
struct_cleanup
=
op
.
c_cleanup_code_struct
(
node
,
id
+
1
)
assert
isinstance
(
struct_cleanup
,
basestring
),
(
str
(
node
.
op
)
+
" didn't return a string for c_cleanup_code_struct"
)
except
utils
.
MethodNotDefined
:
pass
# emit c_code
try
:
behavior
=
op
.
c_code
(
node
,
name
,
isyms
,
osyms
,
sub
)
...
...
@@ -694,6 +708,12 @@ class CLinker(link.Linker):
tasks
.
append
((
node
,
'code'
,
id
))
id
+=
1
init_blocks
.
append
(
CodeBlock
(
struct_support
,
struct_init
,
struct_cleanup
,
{
'id'
:
id
}))
init_tasks
.
append
((
node
,
'init'
,
id
))
id
+=
1
# List of arg names for use in struct_gen. Note the call to
# uniq: duplicate inputs must only be passed once because they
# are mapped to the same name. Duplicates are defined by (a
...
...
@@ -959,7 +979,8 @@ class CLinker(link.Linker):
id
+=
2
for
node
in
self
.
node_order
:
tasks
.
append
((
node
,
'code'
,
id
))
id
+=
1
init_tasks
.
append
((
node
,
'init'
,
id
+
1
))
id
+=
2
return
init_tasks
,
tasks
def
make_thunk
(
self
,
input_storage
=
None
,
output_storage
=
None
,
...
...
theano/gof/cmodule.py
浏览文件 @
a81b5cdc
...
...
@@ -1522,8 +1522,6 @@ def gcc_llvm():
It don't support all g++ parameters even if it support many of them.
"""
if
gcc_llvm
.
is_llvm
is
None
:
pass
p
=
None
try
:
p_out
=
output_subprocess_Popen
([
'g++'
,
'--version'
])
output
=
p_out
[
0
]
+
p_out
[
1
]
...
...
@@ -1535,9 +1533,9 @@ def gcc_llvm():
# compile when g++ is not available. If this happen, it
# will crash later so supposing it is not llvm is "safe".
output
=
b
(
''
)
del
p
gcc_llvm
.
is_llvm
=
b
(
"llvm"
)
in
output
return
gcc_llvm
.
is_llvm
gcc_llvm
.
is_llvm
=
None
...
...
theano/gof/op.py
浏览文件 @
a81b5cdc
差异被折叠。
点击展开。
theano/gof/tests/test_op.py
浏览文件 @
a81b5cdc
...
...
@@ -75,6 +75,33 @@ class NoInputOp(Op):
output_storage
[
0
][
0
]
=
'test Op no input'
class
StructOp
(
Op
):
__props__
=
()
def
do_constant_folding
(
self
,
node
):
# we are not constant
return
False
# The input only serves to distinguish thunks
def
make_node
(
self
,
i
):
return
Apply
(
self
,
[
i
],
[
scalar
.
uint64
()])
def
c_support_code_struct
(
self
,
node
,
struct_id
):
return
"npy_uint64 counter
%
d;"
%
(
struct_id
,)
def
c_init_code_struct
(
self
,
node
,
struct_id
):
return
"counter
%
d = 0;"
%
(
struct_id
,)
def
c_code
(
self
,
node
,
name
,
input_names
,
outputs_names
,
sub
):
return
"""
%(out)
s = counter
%(sid)
s;
counter
%(sid)
s++;
"""
%
dict
(
out
=
outputs_names
[
0
],
sid
=
sub
[
'struct_id'
])
def
c_code_cache_version
(
self
):
return
(
0
,)
class
TestOp
:
# Sanity tests
...
...
@@ -102,6 +129,19 @@ class TestOp:
rval
=
f
()
assert
rval
==
'test Op no input'
def
test_op_struct
(
self
):
sop
=
StructOp
()
c
=
sop
(
theano
.
tensor
.
constant
(
0
))
f
=
theano
.
function
([],
c
)
rval
=
f
()
assert
rval
==
0
rval
=
f
()
assert
rval
==
1
c2
=
sop
(
theano
.
tensor
.
constant
(
1
))
f2
=
theano
.
function
([],
[
c
,
c2
])
rval
=
f2
()
assert
rval
==
[
0
,
0
]
class
TestMakeThunk
(
unittest
.
TestCase
):
def
test_no_c_code
(
self
):
...
...
theano/sandbox/gpuarray/basic_ops.py
浏览文件 @
a81b5cdc
...
...
@@ -63,6 +63,10 @@ class HideC(object):
c_init_code
=
__hide
c_init_code_apply
=
__hide
c_init_code_struct
=
__hide
c_support_code_struct
=
__hide
c_cleanup_code_struct
=
__hide
def
c_code_cache_version
(
self
):
return
()
...
...
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