Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Torch array context #250

Draft
wants to merge 7 commits into
base: main
Choose a base branch
from
+733 −15
Draft

Torch array context #250

Changes from 1 commit
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
d9c94fe
Deprecate with_container_arithmetic's bcast_numpy_array arg
kaushikcfd Sep 27, 2021
c32e4e1
Implements NumpyArrayContext
kaushikcfd Sep 26, 2021
6e30532
ArrayContainer fixes for numpy arrays as leaf classes
kaushikcfd Sep 26, 2021
ce8ab7c
arithmetic fixes to account for np.ndarray being a leaf array
kaushikcfd Sep 27, 2021
d22dddc
test NumpyArrayContext
kaushikcfd Sep 26, 2021
dba4f53
test tweaks for NumpyArrayContext
kaushikcfd Sep 27, 2021
958c769
Added new Torch array context
Sep 20, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
arithmetic fixes to account for np.ndarray being a leaf array
@kaushikcfd @inducer
kaushikcfd authored and inducer committed Sep 1, 2022
commit ce8ab7c5b1a41e3867cf6df3f775a556ad98da43
21 changes: 11 additions & 10 deletions arraycontext/container/arithmetic.py
View file
Original file line number Diff line number Diff line change
@@ -492,16 +492,17 @@ def {fname}(arg1):
bcast_actx_ary_types = ()

gen(f"""
if {bool(outer_bcast_type_names)}: # optimized away
if isinstance(arg2,
{tup_str(outer_bcast_type_names
+ bcast_actx_ary_types)}):
return cls({bcast_same_cls_init_args})
if {numpy_pred("arg2")}:
result = np.empty_like(arg2, dtype=object)
for i in np.ndindex(arg2.shape):
result[i] = {op_str.format("arg1", "arg2[i]")}
return result

if {bool(outer_bcast_type_names)}: # optimized away
if isinstance(arg2,
{tup_str(outer_bcast_type_names
+ bcast_actx_ary_types)}):
return cls({bcast_same_cls_init_args})
return NotImplemented
""")
gen(f"cls.__{dunder_name}__ = {fname}")
@@ -538,16 +539,16 @@ def {fname}(arg1):
def {fname}(arg2, arg1):
# assert other.__cls__ is not cls

if {bool(outer_bcast_type_names)}: # optimized away
if isinstance(arg1,
{tup_str(outer_bcast_type_names
+ bcast_actx_ary_types)}):
return cls({bcast_init_args})
if {numpy_pred("arg1")}:
result = np.empty_like(arg1, dtype=object)
for i in np.ndindex(arg1.shape):
result[i] = {op_str.format("arg1[i]", "arg2")}
return result
if {bool(outer_bcast_type_names)}: # optimized away
if isinstance(arg1,
{tup_str(outer_bcast_type_names
+ bcast_actx_ary_types)}):
return cls({bcast_init_args})
return NotImplemented

cls.__r{dunder_name}__ = {fname}""")