apply pyfmt with usort to opted-in sources

Reviewed By: zertosh Differential Revision: D24880203 fbshipit-source-id: 2034cdfc2712209e86d3d05c119c58f979b05c52
bwasti · Nov 11, 2020 · 2f2beaf · 2f2beaf
1 parent 273a961
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Showing 22 changed files with 38 additions and 37 deletions.
diff --git a/torch_glow/examples/basic_example.py b/torch_glow/examples/basic_example.py
@@ -1,8 +1,8 @@
 # isort:skip_file
 from __future__ import absolute_import, division, print_function, unicode_literals
 
-import torch_glow
 import torch
+import torch_glow
 
 x = torch.randn(4)
 y = torch.randn(4)

diff --git a/torch_glow/examples/profiling_executor_example.py b/torch_glow/examples/profiling_executor_example.py
@@ -1,9 +1,9 @@
 # isort:skip_file
 from __future__ import absolute_import, division, print_function, unicode_literals
 
-import torch_glow
 import torch
 import torch.nn as nn
+import torch_glow
 
 
 class Model(nn.Module):

diff --git a/torch_glow/examples/resnet_example.py b/torch_glow/examples/resnet_example.py
@@ -3,8 +3,8 @@
 
 import argparse
 
-import torch_glow
 import torch
+import torch_glow
 import utils.torchvision_fake.resnet as resnet
 import utils.torchvision_fake.transforms as torchvisionTransforms
 from PIL import Image

diff --git a/torch_glow/tests/functionality/blacklist_test.py b/torch_glow/tests/functionality/blacklist_test.py
@@ -1,11 +1,11 @@
 # isort:skip_file
 from __future__ import absolute_import, division, print_function, unicode_literals
 
-import torch_glow
-import torch
+import unittest
 
+import torch
+import torch_glow
 from tests.utils import GLOW_FUSION_GROUP, SUBGRAPH_ATTR
-import unittest
 
 
 class TestBlackList(unittest.TestCase):

diff --git a/torch_glow/tests/functionality/compilation_spec_test.py b/torch_glow/tests/functionality/compilation_spec_test.py
@@ -1,11 +1,11 @@
 # isort:skip_file
 from __future__ import absolute_import, division, print_function, unicode_literals
 
-import torch_glow
-import torch
+import pickle
 import unittest
 
-import pickle
+import torch
+import torch_glow
 
 
 class TestCompilationSpec(unittest.TestCase):

diff --git a/torch_glow/tests/functionality/conv_to_glow_test.py b/torch_glow/tests/functionality/conv_to_glow_test.py
@@ -1,12 +1,12 @@
 # isort:skip_file
 from __future__ import absolute_import, division, print_function, unicode_literals
 
-import torch_glow
-import torch
 import unittest
-
 from collections import OrderedDict
 
+import torch
+import torch_glow
+
 
 def create_model(x, relu, bias=True):
     """ x is an example input, relu is whether or not to include a fused relu"""

diff --git a/torch_glow/tests/functionality/fuse_necessary_getattrs_only.py b/torch_glow/tests/functionality/fuse_necessary_getattrs_only.py
@@ -1,8 +1,8 @@
 # isort:skip_file
 from __future__ import absolute_import, division, print_function, unicode_literals
 
-import torch_glow
 import torch
+import torch_glow
 
 
 class LinearModel(torch.nn.Module):

diff --git a/torch_glow/tests/functionality/fused_linear_test.py b/torch_glow/tests/functionality/fused_linear_test.py
@@ -3,8 +3,8 @@
 
 import unittest
 
-import torch_glow
 import torch
+import torch_glow
 from tests.utils import graph_contains_str
 
 

diff --git a/torch_glow/tests/functionality/jit_vs_glow_path_test.py b/torch_glow/tests/functionality/jit_vs_glow_path_test.py
@@ -3,9 +3,9 @@
 
 import unittest
 
-import torch_glow
 import torch
 import torch.nn.functional as F
+import torch_glow
 from tests import utils
 
 

diff --git a/torch_glow/tests/functionality/load_backend_specific_options_test.py b/torch_glow/tests/functionality/load_backend_specific_options_test.py
@@ -4,8 +4,8 @@
 import tempfile
 import unittest
 
-import torch_glow
 import torch
+import torch_glow
 
 
 class TestLoadBackendSpecificOptions(unittest.TestCase):

diff --git a/torch_glow/tests/functionality/max_fusion_merge_size_test.py b/torch_glow/tests/functionality/max_fusion_merge_size_test.py
@@ -3,8 +3,8 @@
 
 import unittest
 
-import torch_glow
 import torch
+import torch_glow
 from tests.utils import GLOW_FUSION_GROUP
 
 

diff --git a/torch_glow/tests/functionality/min_graph_size_test.py b/torch_glow/tests/functionality/min_graph_size_test.py
@@ -1,11 +1,11 @@
 # isort:skip_file
 from __future__ import absolute_import, division, print_function, unicode_literals
 
-import torch_glow
-import torch
+import unittest
 
+import torch
+import torch_glow
 from tests.utils import GLOW_FUSION_GROUP
-import unittest
 
 
 class TestMinGraphSize(unittest.TestCase):

diff --git a/torch_glow/tests/functionality/only_tensor_outputs_test.py b/torch_glow/tests/functionality/only_tensor_outputs_test.py
@@ -3,8 +3,8 @@
 
 import unittest
 
-import torch_glow
 import torch
+import torch_glow
 from tests.utils import GLOW_FUSION_GROUP
 
 

diff --git a/torch_glow/tests/functionality/quantized_cut_in_the_middle_test.py b/torch_glow/tests/functionality/quantized_cut_in_the_middle_test.py
@@ -3,8 +3,8 @@
 
 import unittest
 
-import torch_glow
 import torch
+import torch_glow
 from tests.utils import GLOW_FUSION_GROUP
 
 

diff --git a/torch_glow/tests/functionality/randomize_constants_test.py b/torch_glow/tests/functionality/randomize_constants_test.py
@@ -3,8 +3,8 @@
 
 import unittest
 
-import torch_glow
 import torch
+import torch_glow
 
 
 class Model(torch.nn.Module):

diff --git a/torch_glow/tests/functionality/remove_exceptions_test.py b/torch_glow/tests/functionality/remove_exceptions_test.py
@@ -3,8 +3,8 @@
 
 import unittest
 
-import torch_glow
 import torch
+import torch_glow
 from tests.utils import graph_contains_str
 
 

diff --git a/torch_glow/tests/functionality/to_glow_selective_test.py b/torch_glow/tests/functionality/to_glow_selective_test.py
@@ -3,8 +3,8 @@
 
 import unittest
 
-import torch_glow
 import torch
+import torch_glow
 
 
 class Qux(torch.nn.Module):

diff --git a/torch_glow/tests/nodes/getattr_test.py b/torch_glow/tests/nodes/getattr_test.py
@@ -1,10 +1,11 @@
 # isort:skip_file
 from __future__ import absolute_import, division, print_function, unicode_literals
 
-import torch_glow
+import unittest
+
 import torch
+import torch_glow
 from tests.utils import GLOW_FUSION_GROUP, SUBGRAPH_ATTR
-import unittest
 
 
 class TestGetAttr(unittest.TestCase):

diff --git a/torch_glow/tests/nodes/sigmoid_test.py b/torch_glow/tests/nodes/sigmoid_test.py
@@ -1,11 +1,11 @@
 # isort:skip_file
 from __future__ import absolute_import, division, print_function, unicode_literals
 
-import torch
+import unittest
 
-from tests import utils
+import torch
 from parameterized import parameterized
-import unittest
+from tests import utils
 
 
 class SimpleSigmoidModel(torch.nn.Module):

diff --git a/torch_glow/tests/nodes/upsample_test.py b/torch_glow/tests/nodes/upsample_test.py
@@ -5,7 +5,6 @@
 
 import torch
 from parameterized import parameterized
-
 from tests import utils
 
 

diff --git a/torch_glow/tests/utils.py b/torch_glow/tests/utils.py
@@ -1,13 +1,13 @@
 # isort:skip_file
 from __future__ import absolute_import, division, print_function, unicode_literals
-from copy import deepcopy
+
 import itertools
 import os
+from contextlib import contextmanager
+from copy import deepcopy
 
-import torch_glow
 import torch
-
-from contextlib import contextmanager
+import torch_glow
 
 GLOW_FUSION_GROUP = "glow::FusionGroup"
 SUBGRAPH_ATTR = "Subgraph"

diff --git a/utils/caffe2_train_and_dump_pb.py b/utils/caffe2_train_and_dump_pb.py
@@ -41,9 +41,10 @@
 
 def DownloadResource(url, path):
     """Downloads resources from s3 by url and unzips them to the provided path"""
-    import requests
-    import zipfile
     import StringIO
+    import zipfile
+
+    import requests
 
     print("Downloading... {} to {}".format(url, path))
     r = requests.get(url, stream=True)