为tensorflow，keras输入复数

import tensorflow as tf
from tensorflow.keras import layers, models

# 创建一个简单的复数输入
complex_input = tf.constant([[[1 + 2j, 3 + 4j], [5 + 6j, 7 + 8j]]], dtype=tf.complex64)

# 定义一个简单的复数神经网络模型
model = models.Sequential([
    layers.Conv2D(filters=1, kernel_size=(2, 2), input_shape=(2, 2, 1), padding='same'),
    layers.Lambda(lambda x: tf.abs(x))  # 取复数的模
])

# 编译模型
model.compile(optimizer='adam', loss='mse')

# 训练模型
model.fit(complex_input, complex_input, epochs=1)

import tensorflow as tf

# 定义一个复数函数
def complex_function(z):
    return z * tf.math.conj(z)

# 计算实部和虚部
z = tf.constant(1 + 2j, dtype=tf.complex64)
real_part = tf.math.real(complex_function(z))
imag_part = tf.math.imag(complex_function(z))

# 打印结果
print("Real part:", real_part.numpy())
print("Imag part:", imag_part.numpy())