Add option for fixed (not learnable) random field parameters in BatchGaussianRandomFieldModule. These parameters will often be (effectively) constant in space/time, which means there are initialized with huge (correlation) values. As such, keeping things stable also required using jnp.expm1 to implement (1 - self.phi**2) in the GaussianRandomField.
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BatchGaussianRandomFieldModule. These parameters will often be (effectively) constant in space/time, which means there are initialized with huge (correlation) values. As such, keeping things stable also required using jnp.expm1 to implement (1 - self.phi**2) in the GaussianRandomField.
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…hGaussianRandomFieldModule`. These parameters will often be (effectively) constant in space/time, which means there are initialized with huge (correlation) values. As such, keeping things stable also required using `jnp.expm1` to implement `(1 - self.phi**2)` in the `GaussianRandomField`. PiperOrigin-RevId: 647499813
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Add option for fixed (not learnable) random field parameters in
BatchGaussianRandomFieldModule. These parameters will often be (effectively) constant in space/time, which means there are initialized with huge (correlation) values. As such, keeping things stable also required usingjnp.expm1to implement(1 - self.phi**2)in theGaussianRandomField.