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Remove warnings #306

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Remove warnings #306

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07d39c2
added comment
ziofil Nov 21, 2023
6b33cd6
use real rather than cast
ziofil Nov 21, 2023
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2 changes: 1 addition & 1 deletion mrmustard/math/backend_tensorflow.py
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Original file line number Diff line number Diff line change
Expand Up @@ -467,7 +467,7 @@ def reorder_AB_bargmann(self, A: tf.Tensor, B: tf.Tensor) -> Tuple[tf.Tensor, tf
r"""In mrmustard.math.compactFock.compactFock~ dimensions of the Fock representation are ordered like [mode0,mode0,mode1,mode1,...]
while in mrmustard.physics.bargmann the ordering is [mode0,mode1,...,mode0,mode1,...]. Here we reorder A and B.
"""
ordering = np.arange(2 * A.shape[0] // 2).reshape(2, -1).T.flatten()
ordering = np.arange(2 * A.shape[0] // 2).reshape(2, -1).T.flatten() # ordering is [0,2,4,...,1,3,5,...]
A = tf.gather(A, ordering, axis=1)
A = tf.gather(A, ordering)
B = tf.gather(B, ordering)
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4 changes: 2 additions & 2 deletions mrmustard/physics/fock.py
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Expand Up @@ -713,7 +713,7 @@ def f_hermite_polys(xi):
poly = math.hermite_renormalized(
R, 2 * math.astensor([xi], "complex128"), 1 + 0j, (cutoff,)
)
return math.cast(poly, "float64")
return math.real(poly)

hermite_polys = math.map_fn(f_hermite_polys, x_tensor)

Expand Down Expand Up @@ -844,7 +844,7 @@ def quadrature_distribution(
else math.abs(math.einsum("n,nj->j", state, psi_x)) ** 2
)

return x, math.cast(pdf, "float64")
return x, math.real(pdf)


def sample_homodyne(state: Tensor, quadrature_angle: float = 0.0) -> Tuple[float, float]:
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