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incorporate comments
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yongwww committed Dec 8, 2019
1 parent d3c4206 commit 17a4479
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Showing 4 changed files with 498 additions and 272 deletions.
4 changes: 2 additions & 2 deletions python/tvm/relay/op/image/image.py
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ def resize(data,
with data of shape (n, c, h, w)
out will have a shape (n, c, size[0], size[1])
method indicates the algorithm to be used while calculating ghe out value
method indicates the algorithm to be used while calculating the out value
and method can be one of ("bilinear", "nearest_neighbor", "bicubic")
Parameters
Expand Down Expand Up @@ -72,7 +72,7 @@ def crop_and_resize(data,
out_dtype=None):
"""Crop input images and resize them.
method indicates the algorithm to be used while calculating ghe out value
method indicates the algorithm to be used while calculating the out value
and method can be either "bilinear" or "nearest_neighbor".
Parameters
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28 changes: 11 additions & 17 deletions tests/python/frontend/tensorflow/test_forward.py
Original file line number Diff line number Diff line change
Expand Up @@ -1591,35 +1591,29 @@ def test_forward_crop_and_resize():
_test_forward_crop_and_resize([1, 6, 6, 3], [[0, 0, 1, 1]], [0], [3, 3])
_test_forward_crop_and_resize([1, 6, 6, 3], [[0, 0, 1, 1]], [0], [3, 3], 0.2)
_test_forward_crop_and_resize([1, 6, 6, 3], [[0, 0, 1, 1]], [0], [3, 3], 0.2, 'nearest')
_test_forward_crop_and_resize([1, 11, 11, 3], [[.3, .3, 1, 1]], [0], [21, 23])
_test_forward_crop_and_resize([1, 41, 41, 3], [[.2, .4, .8, .8]], [0], [50, 60])
_test_forward_crop_and_resize([1, 11, 11, 3], [[.3, .3, 1, 1]], [0], [21, 21])
_test_forward_crop_and_resize([1, 41, 41, 3], [[.2, .4, .8, .8]], [0], [21, 11])
_test_forward_crop_and_resize([1, 100, 100, 3], [[ 0, 0, .9, .9]], [0], [30, 30])
_test_forward_crop_and_resize([1, 224, 224, 3], [[.1, .2, 1, 1]], [0], [9, 9])
_test_forward_crop_and_resize([1, 250, 250, 3], [[.2, .2, .9, .8]], [0], [6, 7])
_test_forward_crop_and_resize([1, 200, 200, 3], [[.2, .3, .6, .8]], [0], [100, 150])
_test_forward_crop_and_resize([1, 249, 249, 3], [[ 0, 0, 1, 1]], [0], [9, 9])
_test_forward_crop_and_resize([1, 201, 301, 3], [[.2, .3, .7, .8]], [0], [51, 51])
_test_forward_crop_and_resize(img_shape=[10, 11, 11, 3],
boxes=[[ 0, 0, .9, .9],
[.2, .2, .8, .8]],
box_idx=[0, 1], crop_size=[5, 5])
_test_forward_crop_and_resize(img_shape=[20, 229, 229, 3],
boxes=[[ 0, 0, .9, .9],
[.3, .3, 1, 1],
[.2, .1, .7, .8],
[ 0, 0, 1, 1]],
box_idx=[0, 1, 2, 3], crop_size=[60, 90])
_test_forward_crop_and_resize(img_shape=[20, 229, 229, 3],
boxes=[[ 0, 0, .9, .9],
[.3, .3, 1, 1],
[.2, .1, .7, .8],
[ 0, 0, 1, 1]],
box_idx=[3, 0, 2, 1], crop_size=[60, 90],
_test_forward_crop_and_resize(img_shape=[20, 576, 576, 3],
boxes=[[ 0, 0, 1, 1],
[ 0, 0, .8, .8],
[.1, .2, .9, 1],
[.2, 0, 1, 1]],
box_idx=[1, 0, 2, 3], crop_size=[24, 24],
extrapolation_value=0.3)
_test_forward_crop_and_resize(img_shape=[20, 229, 229, 3],
boxes=[[ 0, 0, .9, .9],
[.3, .3, 1, 1],
[.2, .1, .7, .8],
[ 0, 0, 1, 1]],
box_idx=[3, 0, 2, 1], crop_size=[60, 90],
box_idx=[3, 0, 2, 1], crop_size=[58, 58],
extrapolation_value=0.2, method='nearest')


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