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Update tutorial for new Cheetah and gymnasium interface #3

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Update tutorial for new Cheetah and gymnasium interface #3

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12b2870
Update for new Cheetah and gymnasium interface
RemiLehe Mar 12, 2025
c1f3d61
More changes to allow running successfully
RemiLehe Mar 12, 2025
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35 changes: 18 additions & 17 deletions utils/train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@
from gymnasium.wrappers import (
FilterObservation,
FlattenObservation,
FrameStack,
FrameStackObservation,
RecordVideo,
RescaleAction,
TimeLimit,
Expand Down Expand Up @@ -643,7 +643,7 @@ def get_beam_parameters(self):
def get_incoming_parameters(self):
"""
Get all physical beam parameters of the incoming beam as NumPy array in order
energy, mu_x, mu_xp, mu_y, mu_yp, sigma_x, sigma_xp, sigma_y, sigma_yp, sigma_s,
energy, mu_x, mu_px, mu_y, mu_py, sigma_x, sigma_px, sigma_y, sigma_py, sigma_tau,
sigma_p.

Override with backend-specific imlementation. Optional.
Expand Down Expand Up @@ -733,7 +733,8 @@ def __init__(
self,
incoming_mode="constant",
incoming_values=np.array(
[80e6, -5e-4, 6e-5, 3e-4, 3e-5, 4e-4, 4e-5, 1e-4, 4e-5, 0, 4e-6]
[80e6, -5e-4, 6e-5, 3e-4, 3e-5, 4e-4, 4e-5, 1e-4, 4e-5, 0, 4e-6],
dtype='float32'
),
misalignment_mode="constant",
misalignment_values=np.zeros(8),
Expand Down Expand Up @@ -822,14 +823,14 @@ def reset_accelerator(self):
self.incoming = cheetah.ParameterBeam.from_parameters(
energy=torch.tensor(incoming_parameters[0]),
mu_x=torch.tensor(incoming_parameters[1]),
mu_xp=torch.tensor(incoming_parameters[2]),
mu_px=torch.tensor(incoming_parameters[2]),
mu_y=torch.tensor(incoming_parameters[3]),
mu_yp=torch.tensor(incoming_parameters[4]),
mu_py=torch.tensor(incoming_parameters[4]),
sigma_x=torch.tensor(incoming_parameters[5]),
sigma_xp=torch.tensor(incoming_parameters[6]),
sigma_px=torch.tensor(incoming_parameters[6]),
sigma_y=torch.tensor(incoming_parameters[7]),
sigma_yp=torch.tensor(incoming_parameters[8]),
sigma_s=torch.tensor(incoming_parameters[9]),
sigma_py=torch.tensor(incoming_parameters[8]),
sigma_tau=torch.tensor(incoming_parameters[9]),
sigma_p=torch.tensor(incoming_parameters[10]),
)

Expand All @@ -841,10 +842,10 @@ def reset_accelerator(self):
raise ValueError(
f'Invalid value "{self.misalignment_mode}" for misalignment_mode'
)
self.simulation.AREAMQZM1.misalignment = misalignments[0:2]
self.simulation.AREAMQZM2.misalignment = misalignments[2:4]
self.simulation.AREAMQZM3.misalignment = misalignments[4:6]
self.simulation.AREABSCR1.misalignment = misalignments[6:8]
self.simulation.AREAMQZM1.misalignment = torch.tensor(misalignments[0:2])
self.simulation.AREAMQZM2.misalignment = torch.tensor(misalignments[2:4])
self.simulation.AREAMQZM3.misalignment = torch.tensor(misalignments[4:6])
self.simulation.AREABSCR1.misalignment = torch.tensor(misalignments[6:8])

def update_accelerator(self):
self.simulation.track(self.incoming)
Expand All @@ -867,14 +868,14 @@ def get_incoming_parameters(self):
[
self.incoming.energy,
self.incoming.mu_x,
self.incoming.mu_xp,
self.incoming.mu_px,
self.incoming.mu_y,
self.incoming.mu_yp,
self.incoming.mu_py,
self.incoming.sigma_x,
self.incoming.sigma_xp,
self.incoming.sigma_px,
self.incoming.sigma_y,
self.incoming.sigma_yp,
self.incoming.sigma_s,
self.incoming.sigma_py,
self.incoming.sigma_tau,
self.incoming.sigma_p,
]
)
Expand Down