Function randomStandardNormal_

tfjs-core/src/ops/random_standard_normal.ts:39–45

* Creates a `tf.Tensor` with values sampled from a normal distribution. * * The generated values will have mean 0 and standard deviation 1. * * ```js * tf.randomStandardNormal([2, 2]).print(); * ``` * * @param shape An array of integers defining the output tensor shape. * @param dtype The d

(
    shape: ShapeMap[R], dtype?: 'float32'|'int32', seed?: number)

 * @doc {heading: 'Tensors', subheading: 'Random'}
 */
function randomStandardNormal_<R extends Rank>(
    shape: ShapeMap[R], dtype?: 'float32'|'int32', seed?: number): Tensor<R> {
  if (dtype != null && (dtype as DataType) === 'bool') {
    throw new Error(`Unsupported data type ${dtype}`);
  }
  return randomNormal(shape, 0, 1, dtype, seed);
}

export const randomStandardNormal = /* @__PURE__ */ op({randomStandardNormal_});