未验证 提交 a2821a01 编写于 作者: N Nyakku Shigure 提交者: GitHub

[CodeStyle] remove tabs in python fluid unittests (#46357)

上级 3448afc1
......@@ -31,7 +31,7 @@ class TestEyeOp(OpTest):
def setUp(self):
'''
Test eye op with specified shape
Test eye op with specified shape
'''
self.python_api = paddle.eye
self.op_type = "eye"
......@@ -52,7 +52,7 @@ class TestEyeOp1(OpTest):
def setUp(self):
'''
Test eye op with default parameters
Test eye op with default parameters
'''
self.python_api = paddle.eye
self.op_type = "eye"
......
......@@ -231,10 +231,10 @@ def _box_to_delta(ex_boxes, gt_boxes, weights):
def _expand_bbox_targets(bbox_targets_input, class_nums, is_cls_agnostic):
class_labels = bbox_targets_input[:, 0]
fg_inds = np.where(class_labels > 0)[0]
#if is_cls_agnostic:
# class_labels = [1 if ll > 0 else 0 for ll in class_labels]
# class_labels = np.array(class_labels, dtype=np.int32)
# class_nums = 2
# if is_cls_agnostic:
# class_labels = [1 if ll > 0 else 0 for ll in class_labels]
# class_labels = np.array(class_labels, dtype=np.int32)
# class_nums = 2
bbox_targets = np.zeros((class_labels.shape[0],
4 * class_nums if not is_cls_agnostic else 4 * 2))
bbox_inside_weights = np.zeros(bbox_targets.shape)
......
......@@ -213,7 +213,7 @@ def filter_boxes(boxes, min_size, im_info, pixel_offset=True):
def iou(box_a, box_b, pixel_offset=True):
"""
Apply intersection-over-union overlap between box_a and box_b
Apply intersection-over-union overlap between box_a and box_b
"""
xmin_a = min(box_a[0], box_a[2])
ymin_a = min(box_a[1], box_a[3])
......
......@@ -1041,8 +1041,8 @@ class TestRecomputeOptimizer(unittest.TestCase):
def test_dropout_with_seed(self):
"""
when we recompute a dropout op, make sure that the recomputed one
is the same as the original var.
"""
is the same as the original var.
"""
def gen_data():
return {
......
......@@ -619,7 +619,7 @@ class RecurrentOpStopGradientTest(RecurrentOpTest1):
h_t = \sigma (W x_t + U h_{t-1})
weights:
- W
- U
- U
vars:
- x
memories:
......
......@@ -132,7 +132,7 @@ def filter_boxes(boxes, min_size, im_shape, pixel_offset=True):
def iou(box_a, box_b, pixel_offset=True):
"""
Apply intersection-over-union overlap between box_a and box_b
Apply intersection-over-union overlap between box_a and box_b
"""
xmin_a = min(box_a[0], box_a[2])
ymin_a = min(box_a[1], box_a[3])
......
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