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!4599 Fix nn.CentralCrop calculation result in mixed precision. 

Merge pull request !4599 from liuxiao93/nn-CentralCrop
This commit is contained in:
mindspore-ci-bot 2020-08-17 20:17:57 +08:00 committed by Gitee
parent a974a35486 164de0a598
commit abe89923d8
1 changed files with 3 additions and 5 deletions
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8
mindspore/nn/layer/image.py
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@ -393,9 +393,8 @@ def _get_bbox(rank, shape, central_fraction):
else:
n, c, h, w = shape
central_fraction = central_fraction.asnumpy()[0]
bbox_h_start = int((float(h) - float(h) * central_fraction) / 2)
bbox_w_start = int((float(w) - float(w) * central_fraction) / 2)
bbox_h_start = int(np.round((float(h) - float(h) * central_fraction) / 2))
bbox_w_start = int(np.round((float(w) - float(w) * central_fraction) / 2))
bbox_h_size = h - bbox_h_start * 2
bbox_w_size = w - bbox_w_start * 2
@ -432,7 +431,6 @@ class CentralCrop(Cell):
validator.check_value_type("central_fraction", central_fraction, [float], self.cls_name)
self.central_fraction = validator.check_number_range('central_fraction', central_fraction,
0.0, 1.0, Rel.INC_RIGHT, self.cls_name)
self.central_fraction_tensor = Tensor(np.array([central_fraction]).astype(np.float64))
self.slice = P.Slice()
def construct(self, image):
@ -443,7 +441,7 @@ class CentralCrop(Cell):
if self.central_fraction == 1.0:
return image
bbox_begin, bbox_size = _get_bbox(rank, image_shape, self.central_fraction_tensor)
bbox_begin, bbox_size = _get_bbox(rank, image_shape, self.central_fraction)
image = self.slice(image, bbox_begin, bbox_size)
return image