frozenleaves/pytorch
1
0
Fork 0
mirror of https://github.com/pytorch/pytorch.git synced 2025-10-20 21:14:14 +08:00
Code Issues Packages Projects Releases Wiki Activity

[codemod][lint][fbcode/c*] Enable BLACK by default

Browse Source 
Test Plan: manual inspection & sandcastle

Reviewed By: zertosh

Differential Revision: D30279364

fbshipit-source-id: c1ed77dfe43a3bde358f92737cd5535ae5d13c9a
This commit is contained in:
Zsolt Dollenstein
2021-08-12 10:56:55 -07:00
committed by Facebook GitHub Bot
parent aac3c7bd06
commit b004307252
188 changed files with 56875 additions and 28744 deletions
Download Patch File Download Diff File Expand all files Collapse all files

13
android/pytorch_android/generate_test_torchscripts.py
View File

@ -2,14 +2,16 @@ import torch
OUTPUT_DIR = "src/androidTest/assets/"
def scriptAndSave(module, fileName):
print('-' * 80)
print("-" * 80)
script_module = torch.jit.script(module)
print(script_module.graph)
outputFileName = OUTPUT_DIR + fileName
script_module.save(outputFileName)
print("Saved to " + outputFileName)
print('=' * 80)
print("=" * 80)
class Test(torch.jit.ScriptModule):
def __init__(self):
@ -73,7 +75,9 @@ class Test(torch.jit.ScriptModule):
return res
@torch.jit.script_method
def tupleIntSumReturnTuple(self, input: Tuple[int, int, int]) -> Tuple[Tuple[int, int, int], int]:
def tupleIntSumReturnTuple(
self, input: Tuple[int, int, int]
) -> Tuple[Tuple[int, int, int], int]:
sum = 0
for x in input:
sum += x
@ -114,7 +118,7 @@ class Test(torch.jit.ScriptModule):
@torch.jit.script_method
def conv2d(self, x: Tensor, w: Tensor, toChannelsLast: bool) -> Tensor:
r = torch.nn.functional.conv2d(x, w)
if (toChannelsLast):
if toChannelsLast:
r = r.contiguous(memory_format=torch.channels_last)
else:
r = r.contiguous()
@ -132,4 +136,5 @@ class Test(torch.jit.ScriptModule):
def contiguousChannelsLast3d(self, x: Tensor) -> Tensor:
return x.contiguous(memory_format=torch.channels_last_3d)
scriptAndSave(Test(), "test.pt")