simulation.utils.machine_learning.cycle_gan.models.cycle_gan_stats module

Summary

Classes:

CycleGANStats

Reference

class CycleGANStats(real_a: torch.Tensor = None, real_b: torch.Tensor = None, fake_a: torch.Tensor = None, fake_b: torch.Tensor = None, rec_a: torch.Tensor = None, rec_b: torch.Tensor = None, idt_a: torch.Tensor = None, idt_b: torch.Tensor = None, loss_g_a_to_b: float = None, loss_g_b_to_a: float = None, loss_idt_a: float = None, loss_idt_b: float = None, loss_cycle_a: float = None, loss_cycle_b: float = None, loss_d_a: float = None, loss_d_b: float = None, w_distance_a: float = None, w_distance_b: float = None)[source]

Bases: object

real_a: torch.Tensor = None
real_b: torch.Tensor = None
fake_a: torch.Tensor = None
fake_b: torch.Tensor = None
rec_a: torch.Tensor = None
rec_b: torch.Tensor = None
idt_a: torch.Tensor = None
idt_b: torch.Tensor = None
loss_g_a_to_b: float = None
loss_g_b_to_a: float = None
loss_idt_a: float = None
loss_idt_b: float = None
loss_cycle_a: float = None
loss_cycle_b: float = None
loss_d_a: float = None
loss_d_b: float = None
w_distance_a: float = None
w_distance_b: float = None
get_visuals()[source]
get_losses()[source]