Fix: dtype consistency in operators#747
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This PR fixes dtype consistency for the following operators when forward/adjoint is applied:
Bilinear: currently, because the indices are casted to np.int64, also the weights become np.float64 also when the input/operator is np.float32.AVOLinearModelling: whenvsvpis a scalar, the matrix G becomes fp64 by default, it is not now casted to the dtype of the operator.As part of this PR, assertions for dtype are added to the test of all operators.