z = -x # z = tf.negative(x)
z = x + y # z = tf.add(x, y)
z = x - y # z = tf.subtract(x, y)
z = x * y # z = tf.mul(x, y)
z = x / y # z = tf.div(x, y)
z = x // y # z = tf.floordiv(x, y)
z = x % y # z = tf.mod(x, y)
z = x ** y # z = tf.pow(x, y)
z = x @ y # z = tf.matmul(x, y)
z = x > y # z = tf.greater(x, y)
z = x >= y # z = tf.greater_equal(x, y)
z = x < y # z = tf.less(x, y)
z = x <= y # z = tf.less_equal(x, y)
z = abs(x) # z = tf.abs(x)
z = x & y # z = tf.logical_and(x, y)
z = x | y # z = tf.logical_or(x, y)
z = x ^ y # z = tf.logical_xor(x, y)
z = ~x # z = tf.logical_not(x)
z = x[begin:end] # z = tf.slice(x, [begin], [end-begin])
Deep learning和tensorflow学习记录(三十三):重载运算符
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转载自blog.csdn.net/heiheiya/article/details/81098218
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