Divides two tf.Tensors element-wise, A / B. Supports broadcasting. Return 0 if denominator is 0.
tf.Tensor
const a = tf.tensor1d([1, 4, 9, 16]);const b = tf.tensor1d([1, 2, 3, 4]);const c = tf.tensor1d([0, 0, 0, 0]);a.divNoNan(b).print(); // or tf.divNoNan(a, b)a.divNoNan(c).print(); // or tf.divNoNan(a, c) Copy
const a = tf.tensor1d([1, 4, 9, 16]);const b = tf.tensor1d([1, 2, 3, 4]);const c = tf.tensor1d([0, 0, 0, 0]);a.divNoNan(b).print(); // or tf.divNoNan(a, b)a.divNoNan(c).print(); // or tf.divNoNan(a, c)
// Broadcast div a with b.const a = tf.tensor1d([2, 4, 6, 8]);const b = tf.scalar(2);const c = tf.scalar(0);a.divNoNan(b).print(); // or tf.divNoNan(a, b)a.divNoNan(c).print(); // or tf.divNoNan(a, c) Copy
// Broadcast div a with b.const a = tf.tensor1d([2, 4, 6, 8]);const b = tf.scalar(2);const c = tf.scalar(0);a.divNoNan(b).print(); // or tf.divNoNan(a, b)a.divNoNan(c).print(); // or tf.divNoNan(a, c)
The first tensor as the numerator.
The second tensor as the denominator. Must have the same dtype as a.
a
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Divides two
tf.Tensor
s element-wise, A / B. Supports broadcasting. Return 0 if denominator is 0.