【complex op】No.6 add complex support for logical_and/or/xor/not

[jinyouzhi]

PR types

New features

PR changes

OPs

Description

#56145

[paddle-bot]

你的PR提交成功，感谢你对开源项目的贡献!
请关注后续CI自动化测试结果，详情请参考Paddle-CI手册。
Your PR has been submitted. Thanks for your contribution!
Please wait for the result of CI firstly. See Paddle CI Manual for details.

[ScottWong98]

@jinyouzhi 可以先在本地看下 test/legacy_test/test_logical_op.py 是否能通过测试

[jinyouzhi]

@ScottWong98 改完了

[ScottWong98]

Paddle/test/legacy_test/test_logical_op.py

Lines 123 to 130 in a0febdc

	def np_data_generator(np_shape, dtype, *args, **kwargs):
	if dtype == bool:
	return np.random.choice(a=[True, False], size=np_shape).astype(bool)
	elif dtype == np.uint16:
	x = np.random.uniform(0.0, 1.0, np_shape).astype(np.float32)
	return convert_float_to_uint16(x)
	else:
	return np.random.normal(0, 1, np_shape).astype(dtype)

需判断 dtype 为 np.complex64 或 np.complex128 的情况，否则 L130 最终返回复数的虚部全为0

[jinyouzhi]

Paddle/test/legacy_test/test_logical_op.py

Lines 123 to 130 in a0febdc

	def np_data_generator(np_shape, dtype, *args, **kwargs):
	if dtype == bool:
	return np.random.choice(a=[True, False], size=np_shape).astype(bool)
	elif dtype == np.uint16:
	x = np.random.uniform(0.0, 1.0, np_shape).astype(np.float32)
	return convert_float_to_uint16(x)
	else:
	return np.random.normal(0, 1, np_shape).astype(dtype)

需判断 dtype 为 np.complex64 或 np.complex128 的情况，否则 L130 最终返回复数的虚部全为0

已添加。

[ScottWong98]

LGTM

[jinyouzhi]

@GGBond8488 @luotao1

[GGBond8488]

LGTM

[luotao1]

@jinyouzhi 中文文档也要修复一下