def _kernel_fns(key, input_shape, network, out_logits):
init_fn, f, _ = _build_network(input_shape, network, out_logits)
_, params = init_fn(key, (-1, ) + input_shape)
implicit_kernel_fn = jit(empirical.empirical_implicit_ntk_fn(f))
direct_kernel_fn = jit(empirical.empirical_direct_ntk_fn(f))
return (partial(implicit_kernel_fn,
params=params), partial(direct_kernel_fn, params=params))
def _kernel_fns(key, input_shape, network, out_logits, diagonal_axes,
trace_axes):
init_fn, f, _ = _build_network(input_shape, network, out_logits)
_, params = init_fn(key, (-1, ) + input_shape)
implicit_kernel_fn = empirical.empirical_implicit_ntk_fn(
f, trace_axes, diagonal_axes)
direct_kernel_fn = empirical.empirical_direct_ntk_fn(
f, trace_axes, diagonal_axes)
nngp_kernel_fn = empirical.empirical_nngp_fn(f, trace_axes, diagonal_axes)
implicit_kernel_fn = jit(implicit_kernel_fn)
direct_kernel_fn = jit(direct_kernel_fn)
nngp_kernel_fn = jit(nngp_kernel_fn)
return (partial(implicit_kernel_fn,
params=params), partial(direct_kernel_fn, params=params),
partial(nngp_kernel_fn, params=params))
