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Computes log sigmoid of x element-wise.
tf.math.log_sigmoid(
x, name=None
)
Specifically, y = log(1 / (1 + exp(-x))). For numerical stability,
we use y = -tf.nn.softplus(-x).
x: A Tensor with type float32 or float64.name: A name for the operation (optional).A Tensor with the same type as x.