WebThe mean and standard-deviation are calculated over the last D dimensions, where D is the dimension of normalized_shape.For example, if normalized_shape is (3, 5) (a 2-dimensional shape), the mean and standard-deviation are computed over the last 2 dimensions of the input (i.e. input.mean((-2,-1))). γ \gamma γ and β \beta β are learnable affine transform … WebCPU: Over/Under Share Weight - CPC by LPAR. This report shows the stacked usage of each LPAR against the total number of engines of each type in the shared pool of a CPC. It also shows the usage percentage over or under its guaranteed share of each LPAR, according to both the observed and optimized weights, due to the competition among …
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