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testgroup
pytensor
Commits
4bc95151
提交
4bc95151
authored
9月 04, 2015
作者:
--global
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电子邮件补丁
差异文件
Adapt Cython backend for mitmot prealloc
上级
589c9967
隐藏空白字符变更
内嵌
并排
正在显示
5 个修改的文件
包含
96 行增加
和
25 行删除
+96
-25
numpy_api_changes.diff
theano/scan_module/numpy_api_changes.diff
+15
-15
scan_op.py
theano/scan_module/scan_op.py
+3
-0
scan_perform.c
theano/scan_module/scan_perform.c
+0
-0
scan_perform.pyx
theano/scan_module/scan_perform.pyx
+77
-9
scan_perform_ext.py
theano/scan_module/scan_perform_ext.py
+1
-1
没有找到文件。
theano/scan_module/numpy_api_changes.diff
浏览文件 @
4bc95151
@@ -
5808,7 +5808
,7 @@
@@ -
6667,7 +6667
,7 @@
* cdef list stack
* cdef list stack
* cdef int offset
* cdef int offset
*/
*/
- __pyx_t_
4
= ((PyObject *)__pyx_v_self->descr);
- __pyx_t_
3
= ((PyObject *)__pyx_v_self->descr);
+ __pyx_t_
4
= ((PyObject *)PyArray_DESCR(__pyx_v_self));
+ __pyx_t_
3
= ((PyObject *)PyArray_DESCR(__pyx_v_self));
__Pyx_INCREF(__pyx_t_
4
);
__Pyx_INCREF(__pyx_t_
3
);
__pyx_v_descr = ((PyArray_Descr *)__pyx_t_
4
);
__pyx_v_descr = ((PyArray_Descr *)__pyx_t_
3
);
__pyx_t_
4
= 0;
__pyx_t_
3
= 0;
@@ -
7337,7 +73
37,7 @@
@@ -
8237,7 +82
37,7 @@
* arr.base = baseptr
* arr.base = baseptr
*
*
*/
*/
- Py_XDECREF(__pyx_v_arr->base);
- Py_XDECREF(__pyx_v_arr->base);
+ Py_XDECREF(PyArray_BASE(__pyx_v_arr));
+ Py_XDECREF(PyArray_BASE(__pyx_v_arr));
/* "numpy.pxd":973
/* "numpy.pxd":973
* baseptr = <PyObject*>base
* baseptr = <PyObject*>base
@@ -
7346,7 +73
46,11 @@
@@ -
8246,7 +82
46,11 @@
*
*
* cdef inline object get_array_base(ndarray arr):
* cdef inline object get_array_base(ndarray arr):
*/
*/
- __pyx_v_arr->base = __pyx_v_baseptr;
- __pyx_v_arr->base = __pyx_v_baseptr;
...
@@ -26,19 +26,19 @@
...
@@ -26,19 +26,19 @@
+ #else
+ #else
+ PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_baseptr);
+ PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_baseptr);
+ #endif
+ #endif
__Pyx_RefNannyFinishContext();
__Pyx_RefNannyFinishContext();
}
}
@@ -
7376,7 +7376
,7 @@
@@ -
8285,7 +8285
,7 @@
* return None
* return None
* else:
* else:
*/
*/
- __pyx_t_1 = ((__pyx_v_arr->base == NULL) != 0);
- __pyx_t_1 = ((__pyx_v_arr->base == NULL) != 0);
+ __pyx_t_1 = ((PyArray_BASE(__pyx_v_arr) == NULL) != 0);
+ __pyx_t_1 = ((PyArray_BASE(__pyx_v_arr) == NULL) != 0);
if (__pyx_t_1) {
if (__pyx_t_1) {
/* "numpy.pxd":977
/* "numpy.pxd":977
@@ -
7400,8 +7404
,8 @@
@@ -
8307,8 +8311
,8 @@
* return <object>arr.base # <<<<<<<<<<<<<<
* return <object>arr.base # <<<<<<<<<<<<<<
*/
*/
__Pyx_XDECREF(__pyx_r);
__Pyx_XDECREF(__pyx_r);
...
...
theano/scan_module/scan_op.py
浏览文件 @
4bc95151
...
@@ -879,6 +879,8 @@ class Scan(PureOp):
...
@@ -879,6 +879,8 @@ class Scan(PureOp):
dtype
=
'int32'
)
dtype
=
'int32'
)
cython_vector_outs
=
numpy
.
asarray
(
self
.
vector_outs
,
cython_vector_outs
=
numpy
.
asarray
(
self
.
vector_outs
,
dtype
=
'int32'
)
dtype
=
'int32'
)
cython_mitmots_preallocated
=
numpy
.
asarray
(
self
.
mitmots_preallocated
,
dtype
=
'int32'
)
if
hasattr
(
self
,
'destroy_map'
):
if
hasattr
(
self
,
'destroy_map'
):
cython_destroy_map
=
[
x
in
self
.
destroy_map
cython_destroy_map
=
[
x
in
self
.
destroy_map
...
@@ -906,6 +908,7 @@ class Scan(PureOp):
...
@@ -906,6 +908,7 @@ class Scan(PureOp):
cython_vector_outs
,
cython_vector_outs
,
cython_mit_mot_out_slices
,
cython_mit_mot_out_slices
,
cython_mit_mot_out_nslices
,
cython_mit_mot_out_nslices
,
cython_mitmots_preallocated
,
self
.
fn
.
fn
,
self
.
fn
.
fn
,
self
.
fn
,
self
.
fn
,
cython_destroy_map
,
cython_destroy_map
,
...
...
theano/scan_module/scan_perform.c
浏览文件 @
4bc95151
This source diff could not be displayed because it is too large. You can
view the blob
instead.
theano/scan_module/scan_perform.pyx
浏览文件 @
4bc95151
...
@@ -62,7 +62,7 @@ import copy
...
@@ -62,7 +62,7 @@ import copy
def get_version():
def get_version():
return 0.28
6
return 0.28
7
@cython.boundscheck(False)
@cython.boundscheck(False)
def perform(
def perform(
...
@@ -82,6 +82,7 @@ def perform(
...
@@ -82,6 +82,7 @@ def perform(
numpy.ndarray[numpy.int32_t,ndim=1] vector_outs,
numpy.ndarray[numpy.int32_t,ndim=1] vector_outs,
numpy.ndarray[numpy.int32_t,ndim=2] mit_mot_out_slices,
numpy.ndarray[numpy.int32_t,ndim=2] mit_mot_out_slices,
numpy.ndarray[numpy.int32_t,ndim=1] mit_mot_out_nslices,
numpy.ndarray[numpy.int32_t,ndim=1] mit_mot_out_nslices,
numpy.ndarray[numpy.int32_t,ndim=1] mitmots_preallocated,
fn,
fn,
fnct,
fnct,
numpy.ndarray[numpy.int32_t,ndim=1] destroy_map,
numpy.ndarray[numpy.int32_t,ndim=1] destroy_map,
...
@@ -183,7 +184,7 @@ def perform(
...
@@ -183,7 +184,7 @@ def perform(
cdef unsigned int idx
cdef unsigned int idx
cdef unsigned int i
cdef unsigned int i
cdef unsigned int j
cdef unsigned int j
cdef
unsigned
int k
cdef int k
cdef unsigned int kdx
cdef unsigned int kdx
cdef unsigned int tdx
cdef unsigned int tdx
cdef unsigned int pdx
cdef unsigned int pdx
...
@@ -194,6 +195,7 @@ def perform(
...
@@ -194,6 +195,7 @@ def perform(
cdef unsigned int len_output_storage = (n_mit_mot_outs + n_mit_sot +
cdef unsigned int len_output_storage = (n_mit_mot_outs + n_mit_sot +
n_sit_sot + n_nit_sot +
n_sit_sot + n_nit_sot +
n_shared_outs)
n_shared_outs)
cdef int input_reused[500] # max 500 inputs
cdef int output_reused[500] # max 500 outputs
cdef int output_reused[500] # max 500 outputs
...
@@ -254,6 +256,9 @@ def perform(
...
@@ -254,6 +256,9 @@ def perform(
offset = nit_sot_arg_offset + n_nit_sot
offset = nit_sot_arg_offset + n_nit_sot
other_args = args[offset:]
other_args = args[offset:]
input_storage = fnct.input_storage
input_storage = fnct.input_storage
len_input_storage = len(input_storage)
old_input_storage = [None] * len_input_storage
old_input_data = [None] * len_input_storage
output_storage = fnct.output_storage
output_storage = fnct.output_storage
old_output_storage = [None] * len_output_storage
old_output_storage = [None] * len_output_storage
old_output_data = [None] * len_output_storage
old_output_data = [None] * len_output_storage
...
@@ -312,11 +317,13 @@ def perform(
...
@@ -312,11 +317,13 @@ def perform(
# 4. collecting slices where the output should be stored
# 4. collecting slices where the output should be stored
# 4.1. Collect slices for mitmots
# 4.1. Collect slices for mitmots
offset = 0
for idx in range(n_mit_mot_outs):
for idx in range(n_mit_mot_outs):
output_storage[idx].storage[0] = None
if not mitmots_preallocated[<unsigned int>idx]:
output_storage[<unsigned int>offset].storage[0] = None
offset += 1
# 4.2. Collect slices for mitsots, sitsots and nitsots
# 4.2. Collect slices for mitsots, sitsots and nitsots
offset = n_mit_mot_outs
if i != 0:
if i != 0:
for idx in range(n_outs + n_nit_sot - n_mit_mot):
for idx in range(n_outs + n_nit_sot - n_mit_mot):
if ( store_steps[<unsigned int>(idx+n_mit_mot)] == 1 or
if ( store_steps[<unsigned int>(idx+n_mit_mot)] == 1 or
...
@@ -358,6 +365,23 @@ def perform(
...
@@ -358,6 +365,23 @@ def perform(
else:
else:
old_output_data[idx] = None
old_output_data[idx] = None
# 4.6. Keep a reference to the variables (ndarrays, CudaNdarrays,
# etc) currently in the input_storage to be able to compare them
# with the content of the input_storage after the execution of the
# function. Also keep pointers to their data to be able to detect
# cases where outputs reused the allocated object but alter the
# memory region they refer to.
for idx in xrange(len(input_storage)):
var = input_storage[idx].storage[0]
old_input_storage[idx] = var
if hasattr(var, 'gpudata'):
old_input_data[idx] = var.gpudata
elif hasattr(var, 'data'):
old_input_data[idx] = var.data
else:
old_input_data[idx] = None
# 5. compute outputs
# 5. compute outputs
t0_fn = time.time()
t0_fn = time.time()
...
@@ -402,13 +426,57 @@ def perform(
...
@@ -402,13 +426,57 @@ def perform(
else:
else:
output_reused[idx] = False
output_reused[idx] = False
# Check which of the input storage have been modified by the inner
# function
for idx in xrange(len(input_storage)):
# If the storage map does not contain the same object, then
# the pre-allocated output has not been reused
new_var = input_storage[idx].storage[0]
if old_input_storage[idx] is new_var:
# The pre-allocated output is only considered as having
# been reused if it still points to the same data as it
# did before the execution of the inner function
if old_input_data[idx] is None:
input_reused[idx] = False
else:
if hasattr(new_var, 'gpudata'):
input_reused[idx] = (new_var.gpudata ==
old_input_data[idx])
elif hasattr(new_var, 'data'):
input_reused[idx] = (new_var.data ==
old_input_data[idx])
else:
input_reused[idx] = False
offset_out = 0
offset_out = 0
# 5.1 Copy over the values for mit_mot outputs
# 5.1 Copy over the values for mit_mot outputs
for j in range(n_mit_mot):
mitmot_inp_offset = self.n_seqs
for kdx in range(mit_mot_out_nslices[j]):
mitmot_out_idx = 0
k = mit_mot_out_slices[j,kdx]
for j in xrange(self.n_mit_mot):
outs[j][0][<unsigned int>(k+pos[j])] = output_storage[offset_out].storage[0]
for k in self.mit_mot_out_slices[j]:
offset_out += 1
if mitmots_preallocated[<unsigned int>mitmot_out_idx]:
# This output tap has been preallocated. If the
# corresponding input storage has been replaced,
# recover the value as usual. Otherwise, the input was
# modified inplace and nothing needs to be done.
inp_idx = (mitmot_inp_offset +
self.tap_array[j].index(k))
if not input_reused[inp_idx]:
outs[j][0][<unsigned int>(k + pos[j])] = \
input_storage[<unsigned int>inp_idx].storage[0]
else:
# This output tap has not been preallocated, recover
# its value as usual
outs[j][0][<unsigned int>(k + pos[j])] = \
output_storage[<unsigned int>offset_out].storage[0]
offset_out += 1
mitmot_out_idx += 1
mitmot_inp_offset += len(self.tap_array[j])
# 5.2 Copy over the values for mit_sot/sit_sot outputs
# 5.2 Copy over the values for mit_sot/sit_sot outputs
begin = n_mit_mot
begin = n_mit_mot
...
...
theano/scan_module/scan_perform_ext.py
浏览文件 @
4bc95151
...
@@ -17,7 +17,7 @@ from theano.gof import cmodule
...
@@ -17,7 +17,7 @@ from theano.gof import cmodule
_logger
=
logging
.
getLogger
(
'theano.scan_module.scan_perform'
)
_logger
=
logging
.
getLogger
(
'theano.scan_module.scan_perform'
)
version
=
0.28
6
# must match constant returned in function get_version()
version
=
0.28
7
# must match constant returned in function get_version()
need_reload
=
False
need_reload
=
False
...
...
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