GRBM.sample is inefficient

[kevinchern]

Requiring sampler to be a dimod.Sampler makes repeated sampling over changing parameters very inefficient because you have to recreate a linear and quadratic bias dictionaries or BQMs when the GRBM's parameters have been updated.

Candidate solution: wrap dimod.Samplers so it plays well with natively-pytorch samplers