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feat: remove support for np.invert

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remove support for np.invert and propose to the user to use bitwise_xor instead, because of impossibilities with float fusing
closes #658
This commit is contained in:
Benoit Chevallier-Mames
2021-10-18 11:53:02 +02:00
committed by Benoit Chevallier
parent fb0564eea2
commit 7bf2f09615
5 changed files with 41 additions and 20 deletions
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5
tests/common/optimization/test_float_fusing.py
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@@ -224,10 +224,6 @@ def subtest_fuse_float_unary_operations_correctness(fun, tensor_shape):
# Not too large values to avoid overflows
input_list = [1, 2, 5, 11]
super_fun_list = [mix_x_and_y_and_call_f, mix_x_and_y_intricately_and_call_f]
elif fun == numpy.invert:
# 0 is not in the domain of definition + expect integer inputs
input_list = [1, 2, 42, 44]
super_fun_list = [mix_x_and_y_into_integer_and_call_f]
else:
# Regular case
input_list = [0, 2, 42, 44]
@@ -307,7 +303,6 @@ LIST_OF_UFUNC_WHICH_HAVE_INTEGER_ONLY_SOURCES = {
numpy.bitwise_or,
numpy.bitwise_xor,
numpy.gcd,
numpy.invert,
numpy.lcm,
numpy.ldexp,
numpy.left_shift,