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…luded in the epic_optim branch of bifrost in epic_astronomy repository. This module has been tested and is required to perform autocorrelation removal

…luded in the epic_optim branch of bifrost in epic_astronomy repository. This module has been tested and is required to perform autocorrelation removal
Comment on lines +1153 to +1158
#bifrost.map(
# "a(i,j,k,l) += (b(i,j,k,l/2) * b(i,j,k,l%2).conj())",
# {"a": autocorrs, "b": udata, "t": self.ntime_gulp},
# axis_names=("i", "j", "k", "l"),
# shape=(self.ntime_gulp, nchan, nstand, npol ** 2),
#)
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Suggested change
#bifrost.map(
# "a(i,j,k,l) += (b(i,j,k,l/2) * b(i,j,k,l%2).conj())",
# {"a": autocorrs, "b": udata, "t": self.ntime_gulp},
# axis_names=("i", "j", "k", "l"),
# shape=(self.ntime_gulp, nchan, nstand, npol ** 2),
#)

Comment on lines +2191 to +2194
#if args.removeautocorrs:
# raise NotImplementedError(
# "Removing autocorrelations is not yet properly implemented."
# )
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Suggested change
#if args.removeautocorrs:
# raise NotImplementedError(
# "Removing autocorrelations is not yet properly implemented."
# )


# Setup the cores and GPUs to use
cores = [0, 2, 3, 4, 5, 6, 7]
#cores = [0, 2, 3, 4, 5, 6, 7]
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#cores = [0, 2, 3, 4, 5, 6, 7]

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3 participants