Skip to content
This repository has been archived by the owner on Nov 17, 2023. It is now read-only.

Bump up atol for test_bilinear_resize_op to fix flakiness #15011

Merged
merged 1 commit into from
May 21, 2019
Merged

Bump up atol for test_bilinear_resize_op to fix flakiness #15011

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 6 additions & 6 deletions tests/python/unittest/test_operator.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7369,16 +7369,16 @@ def check_bilinear_resize_modes_op(shape, scale_height=None, scale_width=None, s
assert_almost_equal(y.asnumpy(), expected, 1e-3, 0)
if mode != 'like':
resize_sym = mx.sym.contrib.BilinearResize2D(data_sym, None, scale_height=scale_height, scale_width=scale_width, mode=mode)
check_symbolic_forward(resize_sym, [data_np], [expected], rtol=1e-3)
check_symbolic_backward(resize_sym, [data_np], [out_grads], expected_backward, rtol=1e-3)
check_numeric_gradient(resize_sym, [data_np])
check_symbolic_forward(resize_sym, [data_np], [expected], rtol=1e-3, atol=1e-5)
check_symbolic_backward(resize_sym, [data_np], [out_grads], expected_backward, rtol=1e-3, atol=1e-5)
check_numeric_gradient(resize_sym, [data_np], rtol=1e-2, atol=1e-5)
else:
data_sym_like = mx.sym.var('data_like')
resize_sym = mx.sym.contrib.BilinearResize2D(data_sym, data_sym_like, mode=mode)
date_np_like = x_1.asnumpy()
check_symbolic_forward(resize_sym, [data_np, date_np_like], [expected], rtol=1e-3)
check_symbolic_backward(resize_sym, [data_np, date_np_like], [out_grads], expected_backward, rtol=1e-3)
check_numeric_gradient(resize_sym, [data_np, date_np_like])
check_symbolic_forward(resize_sym, [data_np, date_np_like], [expected], rtol=1e-3, atol=1e-5)
check_symbolic_backward(resize_sym, [data_np, date_np_like], [out_grads], expected_backward, rtol=1e-3, atol=1e-5)
check_numeric_gradient(resize_sym, [data_np, date_np_like], rtol=1e-2, atol=1e-5)

shape = (2, 2, 10, 10)
check_bilinear_resize_op(shape, 5, 5)
Expand Down