def test_fixed_point_convolve_with_Signed(self):
'''The fixed point convolve function should work with
SignedFixedPoint arrays.
'''
for kind in ('full', 'valid', 'same'):
a = np.random.randn(random.randrange(50, 500))
b = np.random.randn(random.randrange(50, 500))
fractional_bits_a = random.randrange(3, 20)
fractional_bits_b = random.randrange(3, 20)
fp_a = FixedPointArray(a, fractional_bits_a)
sfp_a = SignedFixedPointArray(a, fractional_bits_a)
fp_b = FixedPointArray(b, fractional_bits_b)
sfp_b = SignedFixedPointArray(b, fractional_bits_b)
test_out = fixed_point_convolve(fp_a, fp_b, kind)
out_fpa_fpb = fixed_point_convolve(fp_a, fp_b, kind)
out_fpa_sfpb = fixed_point_convolve(fp_a, sfp_b, kind)
out_sfpa_fpb = fixed_point_convolve(sfp_a, fp_b, kind)
out_sfpa_sfpb = fixed_point_convolve(sfp_a, sfp_b, kind)
self.assertTrue(np.all(out_fpa_fpb.data == out_fpa_sfpb.data))
self.assertTrue(np.all(out_fpa_fpb.data == out_sfpa_fpb.data))
self.assertTrue(np.all(out_fpa_fpb.data == out_sfpa_sfpb.data))
self.assertEqual(out_fpa_fpb.fractional_bits,
out_fpa_sfpb.fractional_bits)
self.assertEqual(out_fpa_fpb.fractional_bits,
out_sfpa_fpb.fractional_bits)
self.assertEqual(out_fpa_fpb.fractional_bits,
out_sfpa_sfpb.fractional_bits)
def test_either_input_Signed_returns_SignedFixedPointArray(self):
'''If either of the inputs is a SignedFixedPointArray then so is the
output.
'''
for kind in ('full', 'valid', 'same'):
a = np.random.randn(random.randrange(50, 500))
b = np.random.randn(random.randrange(50, 500))
fractional_bits_a = random.randrange(3, 20)
fractional_bits_b = random.randrange(3, 20)
fp_a = FixedPointArray(b, fractional_bits_b)
sfp_a = SignedFixedPointArray(a, fractional_bits_a)
fp_b = FixedPointArray(b, fractional_bits_b)
sfp_b = SignedFixedPointArray(b, fractional_bits_b)
out_fpa_fpb = fixed_point_convolve(fp_a, fp_b, kind)
out_fpa_sfpb = fixed_point_convolve(fp_a, sfp_b, kind)
out_sfpa_fpb = fixed_point_convolve(sfp_a, fp_b, kind)
out_sfpa_sfpb = fixed_point_convolve(sfp_a, sfp_b, kind)
self.assertTrue(isinstance(out_fpa_fpb, FixedPointArray))
self.assertTrue(isinstance(out_fpa_sfpb, SignedFixedPointArray))
self.assertTrue(isinstance(out_sfpa_fpb, SignedFixedPointArray))
self.assertTrue(isinstance(out_sfpa_sfpb, SignedFixedPointArray))
def test_fixed_point_convolve(self):
'''The fixed point convolve function should be equivalent to numpy's
convolve function, but acting on fixed point arrays with fixed point
computation.
'''
for kind in ('full', 'valid', 'same'):
a = np.random.randn(random.randrange(50, 500))
b = np.random.randn(random.randrange(50, 500))
fractional_bits_a = random.randrange(3, 20)
fractional_bits_b = random.randrange(3, 20)
fp_a = FixedPointArray(a, fractional_bits_a)
fp_b = FixedPointArray(b, fractional_bits_b)
test_out = fixed_point_convolve(fp_a, fp_b, kind)
ref_out_data = np.convolve(
fp_a.as_floating_point(), fp_b.as_floating_point(), kind)
self.assertTrue(
np.all(ref_out_data == test_out.as_floating_point()))
