hzfan commented on a change in pull request #17756: [numpy] FFI
random.exponential, logistic, gumbel, rayleigh, weibull, power, pareto
URL: https://github.com/apache/incubator-mxnet/pull/17756#discussion_r391412016
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File path: src/operator/numpy/random/np_power_op.h
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@@ -52,6 +54,17 @@ struct NumpyPowerParam : public
dmlc::Parameter<NumpyPowerParam> {
.describe("Output shape. If the given shape is, "
"e.g., (m, n, k), then m * n * k samples are drawn. "
"Default is None, in which case a single value is returned.");
+ DMLC_DECLARE_FIELD(ctx).set_default("cpu").describe(
Review comment:
Actually we do not need ctx here.
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