BaseForwardModel
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class
aquila_borg.forward.
BaseForwardModel
Base class for implementing new forward model in python
Methods
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Construct the C++ side of the forward model with provided input and output boxes. |
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Request the model to accumulate adjoint vectors instead of resetting at each call. |
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Pushes the adjoint gradient from a deeper part of the computation. |
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Clear accumulated information to compute the adjoint gradient vector. |
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Run the first part of the forward model (v2 API). |
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Return the box on which is defined the input of the model is defined. |
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Build and return an MPI4PY communicator object that is linked to the internal MPI communicator of that object. |
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Obtain the density field produced by the forward model (part 2 of the evaluation, v2 API). |
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Returns a tuple of integer indicating the way the slab is distributed among the node. |
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This queries the current state of the parameters ‘keyname’ in model ‘model’. |
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Return the box on which is defined the output of the model is defined. |
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Return a tuple indicating what is the expected output MPI slicing (startN0,localN0,N1,N2) (Warning! unstable API) |
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Returns the preferred output format (i.e. |
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Returns the preferred output format (i.e. |
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Indicate whether the caller require the adjoint gradient to be computed later. |
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Setup the cosmological parameters that this model requires. |
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Allow changing model parameters for different model indexed by the dictionnary key, each item is another dictionnary with key/value pairs. |
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Give a to localize more easily a model instance. |