ChaiBapchya commented on a change in pull request #15772: Add symbol api for
randn and fix shape issue for randn ndarray and symbol api
URL: https://github.com/apache/incubator-mxnet/pull/15772#discussion_r311693614
##########
File path: python/mxnet/symbol/random.py
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@@ -113,6 +113,31 @@ def normal(loc=0, scale=1, shape=_Null, dtype=_Null,
**kwargs):
[loc, scale], shape, dtype, kwargs)
+def randn(*shape, **kwargs):
+ """Draw random samples from a normal (Gaussian) distribution.
+
+ Samples are distributed according to a normal distribution parametrized
+ by *loc* (mean) and *scale* (standard deviation).
+
+
+ Parameters
+ ----------
+ loc : float or NDArray
+ Mean (centre) of the distribution.
+ scale : float or NDArray
+ Standard deviation (spread or width) of the distribution.
+ shape : int or tuple of ints
+ The number of samples to draw. If shape is, e.g., `(m, n)` and `loc`
and
+ `scale` are scalars, output shape will be `(m, n)`. If `loc` and
`scale`
+ are NDArrays with shape, e.g., `(x, y)`, then output will have shape
+ `(x, y, m, n)`, where `m*n` samples are drawn for each `[loc, scale)`
pair.
+ dtype : {'float16', 'float32', 'float64'}
+ Data type of output samples. Default is 'float32'
+ """
+ return _random_helper(_internal._random_normal, _internal._sample_normal,
+ [loc, scale], shape, dtype, ctx, out, kwargs)
Review comment:
addressed!
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