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We need to know the dimensions which should be reduced to gather the statistics.
It would reduce over batch dim and spatial dims (in_spatial_dims).
Or, we specify the dims which it should not reduce, e.g. in_dim.
Or in_dims but that is not supported currently. Note that while conceptually the order of in_dims does not matter, it matters for the definition of the parameter. So it must be a sequence in case of multiple dims. Also, in_spatial_dims would not be enough as it would not define the order of in_dims. So that implies that specifying in_dims makes more sense than in_spatial_dims.
But anyway, maybe in_dim makes most sense for now.
We need to know the dimensions which should be reduced to gather the statistics.
It would reduce over batch dim and spatial dims (
in_spatial_dims
).Or, we specify the dims which it should not reduce, e.g.
in_dim
.Or
in_dims
but that is not supported currently. Note that while conceptually the order ofin_dims
does not matter, it matters for the definition of the parameter. So it must be a sequence in case of multiple dims. Also,in_spatial_dims
would not be enough as it would not define the order ofin_dims
. So that implies that specifyingin_dims
makes more sense thanin_spatial_dims
.But anyway, maybe
in_dim
makes most sense for now.Like #597. Or like #789 for
ConvLayer
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